diff --git a/p13/README.md b/p13/README.md
index 89903bd5eeb8b61e4cc9bd95bfc74df485ebb02e..2238a36e8cc908d8ced29fe111aa7ec416133141 100644
--- a/p13/README.md
+++ b/p13/README.md
@@ -3,7 +3,9 @@
## Corrections and clarifications:
-* **12/6/2023 - 8:30PM**: `p13.ipynb`, `public_tests.py` and `expected_dfs.html` updated, so bug in Q14 and Q16 are fixed. Redownload these files if you haven't already started the project. Even otherwise, the Gradescope autograder will work correctly.
+* **12/7/2023 - 6:00PM**: Bugs in `public_tests.py` and `expected_dfs.html` fixed. If you ran into any issues with the local tests, please redownload these files, and Restart your notebook.
+
+* **12/7/2023 - 6:00PM**: Additional clarifications added to Q14. There was initially an issue that caused code to fail for using `AVG` instead of `SUM/COUNT`, which has now been expanded upon. You do NOT have to redownload `p13.ipynb`, if you have already started working on the project, but it is recommended that you redownload if you have not started the project.
**Find any issues?** Report to us:
diff --git a/p13/expected_dfs.html b/p13/expected_dfs.html
index fa95764df0dbec45c1f269c3480205ebadc0de72..6fad64d10a76a497730e7d664ac75f23fa64b3c0 100644
--- a/p13/expected_dfs.html
+++ b/p13/expected_dfs.html
@@ -996,10 +996,10 @@
1
</th>
<td>
- 100.0
+ 92.3
</td>
<td>
- 98.3
+ 99.2
</td>
</tr>
<tr>
@@ -1007,10 +1007,10 @@
2
</th>
<td>
- 100.0
+ 90.6
</td>
<td>
- 87.8
+ 98.9
</td>
</tr>
<tr>
@@ -1021,7 +1021,7 @@
100.0
</td>
<td>
- 87.0
+ 98.3
</td>
</tr>
<tr>
@@ -1029,10 +1029,10 @@
4
</th>
<td>
- 100.0
+ 99.9
</td>
<td>
- 42.1
+ 98.1
</td>
</tr>
<tr>
@@ -1040,10 +1040,10 @@
5
</th>
<td>
- 100.0
+ 94.0
</td>
<td>
- 34.0
+ 97.8
</td>
</tr>
<tr>
@@ -1051,10 +1051,10 @@
6
</th>
<td>
- 100.0
+ 98.9
</td>
<td>
- 32.6
+ 93.3
</td>
</tr>
<tr>
@@ -1062,10 +1062,10 @@
7
</th>
<td>
- 99.9
+ 93.2
</td>
<td>
- 98.1
+ 92.7
</td>
</tr>
<tr>
@@ -1073,10 +1073,10 @@
8
</th>
<td>
- 99.9
+ 74.3
</td>
<td>
- 90.4
+ 92.4
</td>
</tr>
<tr>
@@ -1087,7 +1087,7 @@
99.9
</td>
<td>
- 73.7
+ 90.4
</td>
</tr>
<tr>
@@ -1095,10 +1095,10 @@
10
</th>
<td>
- 99.9
+ 78.5
</td>
<td>
- 67.7
+ 90.3
</td>
</tr>
<tr>
@@ -1106,10 +1106,10 @@
11
</th>
<td>
- 99.9
+ 68.4
</td>
<td>
- 43.9
+ 89.4
</td>
</tr>
<tr>
@@ -1117,10 +1117,10 @@
12
</th>
<td>
- 99.8
+ 99.1
</td>
<td>
- 29.5
+ 89.3
</td>
</tr>
<tr>
@@ -1128,10 +1128,10 @@
13
</th>
<td>
- 99.8
+ 92.1
</td>
<td>
- 26.5
+ 87.9
</td>
</tr>
<tr>
@@ -1139,10 +1139,10 @@
14
</th>
<td>
- 99.7
+ 100.0
</td>
<td>
- 30.0
+ 87.8
</td>
</tr>
<tr>
@@ -1150,10 +1150,10 @@
15
</th>
<td>
- 99.4
+ 45.8
</td>
<td>
- 74.3
+ 87.7
</td>
</tr>
<tr>
@@ -1161,10 +1161,10 @@
16
</th>
<td>
- 99.3
+ 97.5
</td>
<td>
- 37.1
+ 87.0
</td>
</tr>
<tr>
@@ -1172,10 +1172,10 @@
17
</th>
<td>
- 99.2
+ 100.0
</td>
<td>
- 54.8
+ 87.0
</td>
</tr>
<tr>
@@ -1183,10 +1183,10 @@
18
</th>
<td>
- 99.1
+ 95.9
</td>
<td>
- 89.3
+ 86.7
</td>
</tr>
<tr>
@@ -1194,10 +1194,10 @@
19
</th>
<td>
- 99.1
+ 93.5
</td>
<td>
- 71.1
+ 86.7
</td>
</tr>
<tr>
@@ -1205,10 +1205,10 @@
20
</th>
<td>
- 99.1
+ 57.2
</td>
<td>
- 32.4
+ 86.3
</td>
</tr>
<tr>
@@ -1216,10 +1216,10 @@
21
</th>
<td>
- 98.9
+ 58.7
</td>
<td>
- 93.3
+ 86.1
</td>
</tr>
<tr>
@@ -1227,10 +1227,10 @@
22
</th>
<td>
- 98.9
+ 40.7
</td>
<td>
- 84.9
+ 85.9
</td>
</tr>
<tr>
@@ -1238,10 +1238,10 @@
23
</th>
<td>
- 98.9
+ 95.7
</td>
<td>
- 66.9
+ 85.8
</td>
</tr>
<tr>
@@ -1249,10 +1249,10 @@
24
</th>
<td>
- 98.8
+ 98.9
</td>
<td>
- 38.7
+ 84.9
</td>
</tr>
<tr>
@@ -1260,10 +1260,10 @@
25
</th>
<td>
- 98.6
+ 94.4
</td>
<td>
- 37.7
+ 84.5
</td>
</tr>
<tr>
@@ -1271,10 +1271,10 @@
26
</th>
<td>
- 98.5
+ 82.3
</td>
<td>
- 52.6
+ 84.5
</td>
</tr>
<tr>
@@ -1282,10 +1282,10 @@
27
</th>
<td>
- 98.4
+ 89.4
</td>
<td>
- 47.6
+ 84.5
</td>
</tr>
<tr>
@@ -1293,10 +1293,10 @@
28
</th>
<td>
- 98.4
+ 70.0
</td>
<td>
- 25.5
+ 84.3
</td>
</tr>
<tr>
@@ -1304,10 +1304,10 @@
29
</th>
<td>
- 98.3
+ 84.8
</td>
<td>
- 60.4
+ 83.8
</td>
</tr>
<tr>
@@ -1315,10 +1315,10 @@
30
</th>
<td>
- 98.3
+ 62.1
</td>
<td>
- 57.4
+ 83.7
</td>
</tr>
<tr>
@@ -1326,10 +1326,10 @@
31
</th>
<td>
- 98.2
+ 49.1
</td>
<td>
- 36.1
+ 82.2
</td>
</tr>
<tr>
@@ -1337,10 +1337,10 @@
32
</th>
<td>
- 98.1
+ 56.2
</td>
<td>
- 73.4
+ 81.7
</td>
</tr>
<tr>
@@ -1348,10 +1348,10 @@
33
</th>
<td>
- 98.1
+ 92.8
</td>
<td>
- 30.3
+ 81.5
</td>
</tr>
<tr>
@@ -1359,10 +1359,10 @@
34
</th>
<td>
- 98.0
+ 57.0
</td>
<td>
- 80.4
+ 81.5
</td>
</tr>
<tr>
@@ -1370,10 +1370,10 @@
35
</th>
<td>
- 97.7
+ 98.0
</td>
<td>
- 72.2
+ 80.4
</td>
</tr>
<tr>
@@ -1381,10 +1381,10 @@
36
</th>
<td>
- 97.7
+ 59.6
</td>
<td>
- 31.2
+ 80.0
</td>
</tr>
<tr>
@@ -1392,10 +1392,10 @@
37
</th>
<td>
- 97.6
+ 93.8
</td>
<td>
- 77.8
+ 79.5
</td>
</tr>
<tr>
@@ -1403,10 +1403,10 @@
38
</th>
<td>
- 97.5
+ 26.7
</td>
<td>
- 87.0
+ 79.5
</td>
</tr>
<tr>
@@ -1414,10 +1414,10 @@
39
</th>
<td>
- 97.3
+ 61.1
</td>
<td>
- 26.0
+ 79.3
</td>
</tr>
<tr>
@@ -1425,10 +1425,10 @@
40
</th>
<td>
- 97.0
+ 64.9
</td>
<td>
- 33.4
+ 78.5
</td>
</tr>
<tr>
@@ -1436,10 +1436,10 @@
41
</th>
<td>
- 96.9
+ 88.4
</td>
<td>
- 52.1
+ 78.2
</td>
</tr>
<tr>
@@ -1447,10 +1447,10 @@
42
</th>
<td>
- 96.9
+ 87.0
</td>
<td>
- 50.0
+ 78.1
</td>
</tr>
<tr>
@@ -1458,10 +1458,10 @@
43
</th>
<td>
- 96.9
+ 97.6
</td>
<td>
- 38.9
+ 77.8
</td>
</tr>
<tr>
@@ -1469,10 +1469,10 @@
44
</th>
<td>
- 96.5
+ 80.2
</td>
<td>
- 55.0
+ 76.9
</td>
</tr>
<tr>
@@ -1480,10 +1480,10 @@
45
</th>
<td>
- 96.4
+ 49.3
</td>
<td>
- 25.7
+ 76.3
</td>
</tr>
<tr>
@@ -1491,10 +1491,10 @@
46
</th>
<td>
- 96.4
+ 84.9
</td>
<td>
- 23.7
+ 76.2
</td>
</tr>
<tr>
@@ -1502,10 +1502,10 @@
47
</th>
<td>
- 95.9
+ 70.3
</td>
<td>
- 86.7
+ 76.2
</td>
</tr>
<tr>
@@ -1513,10 +1513,10 @@
48
</th>
<td>
- 95.8
+ 92.3
</td>
<td>
- 41.7
+ 76.2
</td>
</tr>
<tr>
@@ -1524,10 +1524,10 @@
49
</th>
<td>
- 95.7
+ 72.4
</td>
<td>
- 85.8
+ 74.4
</td>
</tr>
<tr>
@@ -1535,10 +1535,10 @@
50
</th>
<td>
- 95.4
+ 99.4
</td>
<td>
- 28.2
+ 74.3
</td>
</tr>
<tr>
@@ -1546,10 +1546,10 @@
51
</th>
<td>
- 95.3
+ 99.9
</td>
<td>
- 61.8
+ 73.7
</td>
</tr>
<tr>
@@ -1557,10 +1557,10 @@
52
</th>
<td>
- 95.0
+ 98.1
</td>
<td>
- 34.6
+ 73.4
</td>
</tr>
<tr>
@@ -1568,10 +1568,10 @@
53
</th>
<td>
- 94.8
+ 51.4
</td>
<td>
- 25.6
+ 72.5
</td>
</tr>
<tr>
@@ -1579,10 +1579,10 @@
54
</th>
<td>
- 94.7
+ 64.7
</td>
<td>
- 30.9
+ 72.4
</td>
</tr>
<tr>
@@ -1590,10 +1590,10 @@
55
</th>
<td>
- 94.4
+ 97.7
</td>
<td>
- 84.5
+ 72.2
</td>
</tr>
<tr>
@@ -1601,10 +1601,10 @@
56
</th>
<td>
- 94.4
+ 40.2
</td>
<td>
- 25.2
+ 72.0
</td>
</tr>
<tr>
@@ -1612,10 +1612,10 @@
57
</th>
<td>
- 94.0
+ 86.7
</td>
<td>
- 97.8
+ 71.8
</td>
</tr>
<tr>
@@ -1623,10 +1623,10 @@
58
</th>
<td>
- 93.8
+ 85.4
</td>
<td>
- 79.5
+ 71.7
</td>
</tr>
<tr>
@@ -1634,10 +1634,10 @@
59
</th>
<td>
- 93.8
+ 99.1
</td>
<td>
- 50.1
+ 71.1
</td>
</tr>
<tr>
@@ -1645,10 +1645,10 @@
60
</th>
<td>
- 93.7
+ 92.7
</td>
<td>
- 41.1
+ 70.1
</td>
</tr>
<tr>
@@ -1656,10 +1656,10 @@
61
</th>
<td>
- 93.5
+ 74.3
</td>
<td>
- 86.7
+ 70.0
</td>
</tr>
<tr>
@@ -1678,10 +1678,10 @@
63
</th>
<td>
- 93.2
+ 86.5
</td>
<td>
- 92.7
+ 69.1
</td>
</tr>
<tr>
@@ -1689,10 +1689,10 @@
64
</th>
<td>
- 92.8
+ 88.8
</td>
<td>
- 81.5
+ 68.7
</td>
</tr>
<tr>
@@ -1700,10 +1700,10 @@
65
</th>
<td>
- 92.7
+ 32.7
</td>
<td>
- 70.1
+ 68.7
</td>
</tr>
<tr>
@@ -1711,10 +1711,10 @@
66
</th>
<td>
- 92.3
+ 49.0
</td>
<td>
- 99.2
+ 68.6
</td>
</tr>
<tr>
@@ -1722,10 +1722,10 @@
67
</th>
<td>
- 92.3
+ 61.7
</td>
<td>
- 76.2
+ 68.0
</td>
</tr>
<tr>
@@ -1733,10 +1733,10 @@
68
</th>
<td>
- 92.1
+ 47.0
</td>
<td>
- 87.9
+ 67.9
</td>
</tr>
<tr>
@@ -1744,10 +1744,10 @@
69
</th>
<td>
- 91.8
+ 99.9
</td>
<td>
- 43.5
+ 67.7
</td>
</tr>
<tr>
@@ -1755,10 +1755,10 @@
70
</th>
<td>
- 91.4
+ 45.8
</td>
<td>
- 48.7
+ 67.6
</td>
</tr>
<tr>
@@ -1766,10 +1766,10 @@
71
</th>
<td>
- 91.2
+ 98.9
</td>
<td>
- 30.0
+ 66.9
</td>
</tr>
<tr>
@@ -1777,10 +1777,10 @@
72
</th>
<td>
- 90.6
+ 85.9
</td>
<td>
- 98.9
+ 66.4
</td>
</tr>
<tr>
@@ -1799,10 +1799,10 @@
74
</th>
<td>
- 89.7
+ 42.3
</td>
<td>
- 55.0
+ 65.5
</td>
</tr>
<tr>
@@ -1810,10 +1810,10 @@
75
</th>
<td>
- 89.5
+ 31.8
</td>
<td>
- 36.1
+ 65.2
</td>
</tr>
<tr>
@@ -1821,10 +1821,10 @@
76
</th>
<td>
- 89.4
+ 36.2
</td>
<td>
- 84.5
+ 65.2
</td>
</tr>
<tr>
@@ -1832,10 +1832,10 @@
77
</th>
<td>
- 88.8
+ 53.3
</td>
<td>
- 68.7
+ 65.1
</td>
</tr>
<tr>
@@ -1843,10 +1843,10 @@
78
</th>
<td>
- 88.6
+ 36.6
</td>
<td>
- 33.8
+ 64.7
</td>
</tr>
<tr>
@@ -1854,10 +1854,10 @@
79
</th>
<td>
- 88.4
+ 62.7
</td>
<td>
- 78.2
+ 63.9
</td>
</tr>
<tr>
@@ -1865,10 +1865,10 @@
80
</th>
<td>
- 87.4
+ 64.1
</td>
<td>
- 46.6
+ 63.5
</td>
</tr>
<tr>
@@ -1876,10 +1876,10 @@
81
</th>
<td>
- 87.1
+ 71.4
</td>
<td>
- 62.0
+ 63.5
</td>
</tr>
<tr>
@@ -1887,10 +1887,10 @@
82
</th>
<td>
- 87.0
+ 62.9
</td>
<td>
- 78.1
+ 63.1
</td>
</tr>
<tr>
@@ -1898,10 +1898,10 @@
83
</th>
<td>
- 86.7
+ 38.2
</td>
<td>
- 71.8
+ 63.0
</td>
</tr>
<tr>
@@ -1909,10 +1909,10 @@
84
</th>
<td>
- 86.5
+ 37.7
</td>
<td>
- 69.1
+ 62.8
</td>
</tr>
<tr>
@@ -1920,10 +1920,10 @@
85
</th>
<td>
- 86.4
+ 29.9
</td>
<td>
- 37.3
+ 62.8
</td>
</tr>
<tr>
@@ -1931,10 +1931,10 @@
86
</th>
<td>
- 86.2
+ 4.6
</td>
<td>
- 47.8
+ 62.2
</td>
</tr>
<tr>
@@ -1942,10 +1942,10 @@
87
</th>
<td>
- 85.9
+ 38.2
</td>
<td>
- 66.4
+ 62.2
</td>
</tr>
<tr>
@@ -1953,10 +1953,10 @@
88
</th>
<td>
- 85.8
+ 87.1
</td>
<td>
- 37.4
+ 62.0
</td>
</tr>
<tr>
@@ -1964,10 +1964,10 @@
89
</th>
<td>
- 85.7
+ 95.3
</td>
<td>
- 47.6
+ 61.8
</td>
</tr>
<tr>
@@ -1975,10 +1975,10 @@
90
</th>
<td>
- 85.7
+ 53.0
</td>
<td>
- 28.1
+ 61.6
</td>
</tr>
<tr>
@@ -1986,10 +1986,10 @@
91
</th>
<td>
- 85.4
+ 52.0
</td>
<td>
- 71.7
+ 61.6
</td>
</tr>
<tr>
@@ -1997,10 +1997,10 @@
92
</th>
<td>
- 85.1
+ 60.1
</td>
<td>
- 24.0
+ 61.4
</td>
</tr>
<tr>
@@ -2008,10 +2008,10 @@
93
</th>
<td>
- 84.9
+ 2.7
</td>
<td>
- 76.2
+ 61.4
</td>
</tr>
<tr>
@@ -2019,10 +2019,10 @@
94
</th>
<td>
- 84.8
+ 1.7
</td>
<td>
- 83.8
+ 61.0
</td>
</tr>
<tr>
@@ -2030,10 +2030,10 @@
95
</th>
<td>
- 84.3
+ 57.7
</td>
<td>
- 31.6
+ 61.0
</td>
</tr>
<tr>
@@ -2041,10 +2041,10 @@
96
</th>
<td>
- 84.0
+ 67.1
</td>
<td>
- 49.6
+ 60.9
</td>
</tr>
<tr>
@@ -2052,10 +2052,10 @@
97
</th>
<td>
- 83.4
+ 71.4
</td>
<td>
- 56.2
+ 60.8
</td>
</tr>
<tr>
@@ -2063,10 +2063,10 @@
98
</th>
<td>
- 82.9
+ 68.4
</td>
<td>
- 58.1
+ 60.7
</td>
</tr>
<tr>
@@ -2074,10 +2074,10 @@
99
</th>
<td>
- 82.5
+ 98.3
</td>
<td>
- 51.9
+ 60.4
</td>
</tr>
<tr>
@@ -2085,10 +2085,10 @@
100
</th>
<td>
- 82.3
+ 46.5
</td>
<td>
- 84.5
+ 60.4
</td>
</tr>
<tr>
@@ -2096,10 +2096,10 @@
101
</th>
<td>
- 82.0
+ 37.4
</td>
<td>
- 23.4
+ 60.0
</td>
</tr>
<tr>
@@ -2107,10 +2107,10 @@
102
</th>
<td>
- 81.3
+ 11.6
</td>
<td>
- 53.7
+ 59.9
</td>
</tr>
<tr>
@@ -2118,10 +2118,10 @@
103
</th>
<td>
- 80.9
+ 46.9
</td>
<td>
- 54.0
+ 59.7
</td>
</tr>
<tr>
@@ -2129,10 +2129,10 @@
104
</th>
<td>
- 80.9
+ 45.6
</td>
<td>
- 35.8
+ 59.4
</td>
</tr>
<tr>
@@ -2140,10 +2140,10 @@
105
</th>
<td>
- 80.8
+ 78.7
</td>
<td>
- 58.8
+ 59.3
</td>
</tr>
<tr>
@@ -2151,10 +2151,10 @@
106
</th>
<td>
- 80.7
+ 21.2
</td>
<td>
- 46.7
+ 58.8
</td>
</tr>
<tr>
@@ -2162,10 +2162,10 @@
107
</th>
<td>
- 80.2
+ 80.8
</td>
<td>
- 76.9
+ 58.8
</td>
</tr>
<tr>
@@ -2173,10 +2173,10 @@
108
</th>
<td>
- 79.8
+ 79.4
</td>
<td>
- 23.5
+ 58.7
</td>
</tr>
<tr>
@@ -2184,10 +2184,10 @@
109
</th>
<td>
- 79.6
+ 50.2
</td>
<td>
- 32.5
+ 58.6
</td>
</tr>
<tr>
@@ -2195,10 +2195,10 @@
110
</th>
<td>
- 79.4
+ 59.1
</td>
<td>
- 58.7
+ 58.3
</td>
</tr>
<tr>
@@ -2206,10 +2206,10 @@
111
</th>
<td>
- 79.4
+ 82.9
</td>
<td>
- 41.2
+ 58.1
</td>
</tr>
<tr>
@@ -2217,10 +2217,10 @@
112
</th>
<td>
- 79.3
+ 29.6
</td>
<td>
- 55.7
+ 58.0
</td>
</tr>
<tr>
@@ -2228,10 +2228,10 @@
113
</th>
<td>
- 79.1
+ 98.3
</td>
<td>
- 45.2
+ 57.4
</td>
</tr>
<tr>
@@ -2239,10 +2239,10 @@
114
</th>
<td>
- 79.0
+ 49.8
</td>
<td>
- 39.7
+ 57.2
</td>
</tr>
<tr>
@@ -2250,10 +2250,10 @@
115
</th>
<td>
- 78.7
+ 68.0
</td>
<td>
- 59.3
+ 57.1
</td>
</tr>
<tr>
@@ -2261,10 +2261,10 @@
116
</th>
<td>
- 78.7
+ 64.2
</td>
<td>
- 30.7
+ 56.9
</td>
</tr>
<tr>
@@ -2272,10 +2272,10 @@
117
</th>
<td>
- 78.6
+ 71.9
</td>
<td>
- 40.9
+ 56.8
</td>
</tr>
<tr>
@@ -2283,10 +2283,10 @@
118
</th>
<td>
- 78.5
+ 71.9
</td>
<td>
- 90.3
+ 56.4
</td>
</tr>
<tr>
@@ -2294,10 +2294,10 @@
119
</th>
<td>
- 77.8
+ 31.3
</td>
<td>
- 30.1
+ 56.3
</td>
</tr>
<tr>
@@ -2305,10 +2305,10 @@
120
</th>
<td>
- 77.5
+ 83.4
</td>
<td>
- 40.3
+ 56.2
</td>
</tr>
<tr>
@@ -2316,10 +2316,10 @@
121
</th>
<td>
- 76.4
+ 79.3
</td>
<td>
- 32.1
+ 55.7
</td>
</tr>
<tr>
@@ -2327,10 +2327,10 @@
122
</th>
<td>
- 75.5
+ 48.3
</td>
<td>
- 36.9
+ 55.2
</td>
</tr>
<tr>
@@ -2338,10 +2338,10 @@
123
</th>
<td>
- 75.4
+ 89.7
</td>
<td>
- 54.2
+ 55.0
</td>
</tr>
<tr>
@@ -2349,10 +2349,10 @@
124
</th>
<td>
- 75.0
+ 96.5
</td>
<td>
- 39.5
+ 55.0
</td>
</tr>
<tr>
@@ -2360,10 +2360,10 @@
125
</th>
<td>
- 74.9
+ 62.7
</td>
<td>
- 42.5
+ 54.8
</td>
</tr>
<tr>
@@ -2371,10 +2371,10 @@
126
</th>
<td>
- 74.3
+ 99.2
</td>
<td>
- 92.4
+ 54.8
</td>
</tr>
<tr>
@@ -2382,10 +2382,10 @@
127
</th>
<td>
- 74.3
+ 75.4
</td>
<td>
- 70.0
+ 54.2
</td>
</tr>
<tr>
@@ -2393,10 +2393,10 @@
128
</th>
<td>
- 73.9
+ 80.9
</td>
<td>
- 28.6
+ 54.0
</td>
</tr>
<tr>
@@ -2404,10 +2404,10 @@
129
</th>
<td>
- 73.1
+ 81.3
</td>
<td>
- 51.7
+ 53.7
</td>
</tr>
<tr>
@@ -2415,10 +2415,10 @@
130
</th>
<td>
- 73.1
+ 14.5
</td>
<td>
- 25.2
+ 53.7
</td>
</tr>
<tr>
@@ -2426,10 +2426,10 @@
131
</th>
<td>
- 72.5
+ 59.2
</td>
<td>
- 25.7
+ 56.7
</td>
</tr>
<tr>
@@ -2437,10 +2437,10 @@
132
</th>
<td>
- 72.4
+ 42.5
</td>
<td>
- 74.4
+ 53.2
</td>
</tr>
<tr>
@@ -2448,10 +2448,10 @@
133
</th>
<td>
- 72.3
+ 44.9
</td>
<td>
- 31.4
+ 52.9
</td>
</tr>
<tr>
@@ -2459,10 +2459,10 @@
134
</th>
<td>
- 71.9
+ 68.4
</td>
<td>
- 56.8
+ 52.9
</td>
</tr>
<tr>
@@ -2470,10 +2470,10 @@
135
</th>
<td>
- 71.9
+ 58.0
</td>
<td>
- 56.4
+ 52.7
</td>
</tr>
<tr>
@@ -2481,10 +2481,10 @@
136
</th>
<td>
- 71.4
+ 16.2
</td>
<td>
- 63.5
+ 52.6
</td>
</tr>
<tr>
@@ -2492,10 +2492,10 @@
137
</th>
<td>
- 71.4
+ 98.5
</td>
<td>
- 60.8
+ 52.6
</td>
</tr>
<tr>
@@ -2503,10 +2503,10 @@
138
</th>
<td>
- 70.9
+ 42.9
</td>
<td>
- 43.1
+ 52.5
</td>
</tr>
<tr>
@@ -2514,10 +2514,10 @@
139
</th>
<td>
- 70.8
+ 68.6
</td>
<td>
- 24.7
+ 52.4
</td>
</tr>
<tr>
@@ -2525,10 +2525,10 @@
140
</th>
<td>
- 70.7
+ 96.9
</td>
<td>
- 23.4
+ 52.1
</td>
</tr>
<tr>
@@ -2536,10 +2536,10 @@
141
</th>
<td>
- 70.6
+ 24.9
</td>
<td>
- 51.7
+ 52.1
</td>
</tr>
<tr>
@@ -2547,10 +2547,10 @@
142
</th>
<td>
- 70.3
+ 54.1
</td>
<td>
- 76.2
+ 52.0
</td>
</tr>
<tr>
@@ -2558,10 +2558,10 @@
143
</th>
<td>
- 70.0
+ 37.5
</td>
<td>
- 84.3
+ 52.0
</td>
</tr>
<tr>
@@ -2569,10 +2569,10 @@
144
</th>
<td>
- 68.7
+ 50.7
</td>
<td>
- 24.4
+ 51.9
</td>
</tr>
<tr>
@@ -2580,10 +2580,10 @@
145
</th>
<td>
- 68.6
+ 82.5
</td>
<td>
- 52.4
+ 51.9
</td>
</tr>
<tr>
@@ -2591,10 +2591,10 @@
146
</th>
<td>
- 68.4
+ 37.9
</td>
<td>
- 89.4
+ 51.9
</td>
</tr>
<tr>
@@ -2602,10 +2602,10 @@
147
</th>
<td>
- 68.4
+ 61.9
</td>
<td>
- 60.7
+ 51.8
</td>
</tr>
<tr>
@@ -2613,10 +2613,10 @@
148
</th>
<td>
- 68.4
+ 73.1
</td>
<td>
- 52.9
+ 51.7
</td>
</tr>
<tr>
@@ -2624,10 +2624,10 @@
149
</th>
<td>
- 68.4
+ 70.6
</td>
<td>
- 48.9
+ 51.7
</td>
</tr>
<tr>
@@ -2635,10 +2635,10 @@
150
</th>
<td>
- 68.1
+ 30.8
</td>
<td>
- 44.9
+ 51.3
</td>
</tr>
<tr>
@@ -2646,10 +2646,10 @@
151
</th>
<td>
- 68.0
+ 46.0
</td>
<td>
- 57.1
+ 51.3
</td>
</tr>
<tr>
@@ -2657,10 +2657,10 @@
152
</th>
<td>
- 68.0
+ 43.3
</td>
<td>
- 25.9
+ 50.9
</td>
</tr>
<tr>
@@ -2668,10 +2668,10 @@
153
</th>
<td>
- 67.5
+ 49.5
</td>
<td>
- 30.7
+ 50.5
</td>
</tr>
<tr>
@@ -2679,10 +2679,10 @@
154
</th>
<td>
- 67.4
+ 39.6
</td>
<td>
- 48.9
+ 50.5
</td>
</tr>
<tr>
@@ -2690,10 +2690,10 @@
155
</th>
<td>
- 67.4
+ 24.9
</td>
<td>
- 41.3
+ 50.5
</td>
</tr>
<tr>
@@ -2701,10 +2701,10 @@
156
</th>
<td>
- 67.3
+ 50.7
</td>
<td>
- 37.2
+ 50.5
</td>
</tr>
<tr>
@@ -2712,10 +2712,10 @@
157
</th>
<td>
- 67.1
+ 22.7
</td>
<td>
- 60.9
+ 50.4
</td>
</tr>
<tr>
@@ -2723,10 +2723,10 @@
158
</th>
<td>
- 66.0
+ 25.1
</td>
<td>
- 35.4
+ 50.2
</td>
</tr>
<tr>
@@ -2734,10 +2734,10 @@
159
</th>
<td>
- 65.8
+ 12.5
</td>
<td>
- 48.0
+ 50.2
</td>
</tr>
<tr>
@@ -2745,10 +2745,10 @@
160
</th>
<td>
- 65.8
+ 11.7
</td>
<td>
- 40.1
+ 50.2
</td>
</tr>
<tr>
@@ -2756,10 +2756,10 @@
161
</th>
<td>
- 65.7
+ 93.8
</td>
<td>
- 33.9
+ 50.1
</td>
</tr>
<tr>
@@ -2767,10 +2767,10 @@
162
</th>
<td>
- 65.5
+ 96.9
</td>
<td>
- 26.0
+ 50.0
</td>
</tr>
<tr>
@@ -2778,10 +2778,10 @@
163
</th>
<td>
- 65.3
+ 23.3
</td>
<td>
- 44.4
+ 49.7
</td>
</tr>
<tr>
@@ -2789,10 +2789,10 @@
164
</th>
<td>
- 65.3
+ 23.9
</td>
<td>
- 28.2
+ 49.7
</td>
</tr>
<tr>
@@ -2800,10 +2800,10 @@
165
</th>
<td>
- 65.1
+ 41.8
</td>
<td>
- 42.7
+ 49.7
</td>
</tr>
<tr>
@@ -2811,10 +2811,10 @@
166
</th>
<td>
- 65.1
+ 40.3
</td>
<td>
- 29.7
+ 49.4
</td>
</tr>
<tr>
@@ -2822,10 +2822,10 @@
167
</th>
<td>
- 65.0
+ 26.6
</td>
<td>
- 33.0
+ 49.1
</td>
</tr>
<tr>
@@ -2833,10 +2833,10 @@
168
</th>
<td>
- 64.9
+ 68.4
</td>
<td>
- 78.5
+ 48.9
</td>
</tr>
<tr>
@@ -2844,10 +2844,10 @@
169
</th>
<td>
- 64.9
+ 67.4
</td>
<td>
- 46.8
+ 48.9
</td>
</tr>
<tr>
@@ -2855,10 +2855,10 @@
170
</th>
<td>
- 64.8
+ 7.0
</td>
<td>
- 33.7
+ 48.8
</td>
</tr>
<tr>
@@ -2866,10 +2866,10 @@
171
</th>
<td>
- 64.7
+ 38.9
</td>
<td>
- 72.4
+ 48.8
</td>
</tr>
<tr>
@@ -2877,10 +2877,10 @@
172
</th>
<td>
- 64.6
+ 38.8
</td>
<td>
- 26.3
+ 48.7
</td>
</tr>
<tr>
@@ -2888,10 +2888,10 @@
173
</th>
<td>
- 64.3
+ 91.4
</td>
<td>
- 46.1
+ 48.7
</td>
</tr>
<tr>
@@ -2899,10 +2899,10 @@
174
</th>
<td>
- 64.2
+ 45.7
</td>
<td>
- 56.9
+ 48.7
</td>
</tr>
<tr>
@@ -2910,10 +2910,10 @@
175
</th>
<td>
- 64.1
+ 53.4
</td>
<td>
- 63.5
+ 48.5
</td>
</tr>
<tr>
@@ -2921,10 +2921,10 @@
176
</th>
<td>
- 63.9
+ 33.0
</td>
<td>
- 38.8
+ 48.5
</td>
</tr>
<tr>
@@ -2932,10 +2932,10 @@
177
</th>
<td>
- 63.3
+ 37.9
</td>
<td>
- 46.8
+ 48.5
</td>
</tr>
<tr>
@@ -2943,10 +2943,10 @@
178
</th>
<td>
- 63.3
+ 61.5
</td>
<td>
- 46.7
+ 48.1
</td>
</tr>
<tr>
@@ -2954,10 +2954,10 @@
179
</th>
<td>
- 62.9
+ 65.8
</td>
<td>
- 63.1
+ 48.0
</td>
</tr>
<tr>
@@ -2965,10 +2965,10 @@
180
</th>
<td>
- 62.7
+ 60.2
</td>
<td>
- 63.9
+ 48.0
</td>
</tr>
<tr>
@@ -2976,10 +2976,10 @@
181
</th>
<td>
- 62.7
+ 41.5
</td>
<td>
- 54.8
+ 47.9
</td>
</tr>
<tr>
@@ -2987,10 +2987,10 @@
182
</th>
<td>
- 62.7
+ 86.2
</td>
<td>
- 38.7
+ 47.8
</td>
</tr>
<tr>
@@ -2998,10 +2998,10 @@
183
</th>
<td>
- 62.1
+ 98.4
</td>
<td>
- 83.7
+ 47.6
</td>
</tr>
<tr>
@@ -3009,10 +3009,10 @@
184
</th>
<td>
- 61.9
+ 85.7
</td>
<td>
- 51.8
+ 47.6
</td>
</tr>
<tr>
@@ -3020,10 +3020,10 @@
185
</th>
<td>
- 61.8
+ 2.3
</td>
<td>
- 32.3
+ 47.6
</td>
</tr>
<tr>
@@ -3031,10 +3031,10 @@
186
</th>
<td>
- 61.7
+ 39.4
</td>
<td>
- 68.0
+ 47.3
</td>
</tr>
<tr>
@@ -3042,10 +3042,10 @@
187
</th>
<td>
- 61.5
+ 33.9
</td>
<td>
- 48.1
+ 46.9
</td>
</tr>
<tr>
@@ -3053,10 +3053,10 @@
188
</th>
<td>
- 61.1
+ 29.0
</td>
<td>
- 79.3
+ 46.8
</td>
</tr>
<tr>
@@ -3064,10 +3064,10 @@
189
</th>
<td>
- 60.2
+ 64.9
</td>
<td>
- 48.0
+ 46.8
</td>
</tr>
<tr>
@@ -3075,10 +3075,10 @@
190
</th>
<td>
- 60.1
+ 63.3
</td>
<td>
- 61.4
+ 46.8
</td>
</tr>
<tr>
@@ -3086,10 +3086,10 @@
191
</th>
<td>
- 60.0
+ 63.3
</td>
<td>
- 45.1
+ 46.7
</td>
</tr>
<tr>
@@ -3097,10 +3097,10 @@
192
</th>
<td>
- 59.9
+ 80.7
</td>
<td>
- 36.5
+ 46.7
</td>
</tr>
<tr>
@@ -3108,10 +3108,10 @@
193
</th>
<td>
- 59.9
+ 87.4
</td>
<td>
- 27.6
+ 46.6
</td>
</tr>
<tr>
@@ -3119,10 +3119,10 @@
194
</th>
<td>
- 59.7
+ 46.4
</td>
<td>
- 29.5
+ 46.4
</td>
</tr>
<tr>
@@ -3130,10 +3130,10 @@
195
</th>
<td>
- 59.6
+ 27.8
</td>
<td>
- 80.0
+ 46.2
</td>
</tr>
<tr>
@@ -3141,10 +3141,10 @@
196
</th>
<td>
- 59.6
+ 64.3
</td>
<td>
- 27.2
+ 46.1
</td>
</tr>
<tr>
@@ -3152,10 +3152,10 @@
197
</th>
<td>
- 59.2
+ 5.9
</td>
<td>
- 56.7
+ 46.0
</td>
</tr>
<tr>
@@ -3163,10 +3163,10 @@
198
</th>
<td>
- 59.1
+ 84.0
</td>
<td>
- 58.3
+ 49.6
</td>
</tr>
<tr>
@@ -3174,10 +3174,10 @@
199
</th>
<td>
- 58.7
+ 25.1
</td>
<td>
- 86.1
+ 45.9
</td>
</tr>
<tr>
@@ -3185,10 +3185,10 @@
200
</th>
<td>
- 58.7
+ 4.3
</td>
<td>
- 27.9
+ 45.9
</td>
</tr>
<tr>
@@ -3196,10 +3196,10 @@
201
</th>
<td>
- 58.1
+ 43.5
</td>
<td>
- 39.0
+ 45.8
</td>
</tr>
<tr>
@@ -3207,10 +3207,10 @@
202
</th>
<td>
- 58.1
+ 32.2
</td>
<td>
- 33.9
+ 45.2
</td>
</tr>
<tr>
@@ -3218,10 +3218,10 @@
203
</th>
<td>
- 58.0
+ 79.1
</td>
<td>
- 52.7
+ 45.2
</td>
</tr>
<tr>
@@ -3229,10 +3229,10 @@
204
</th>
<td>
- 57.9
+ 60.0
</td>
<td>
- 39.2
+ 45.1
</td>
</tr>
<tr>
@@ -3240,10 +3240,10 @@
205
</th>
<td>
- 57.7
+ 51.0
</td>
<td>
- 61.0
+ 45.0
</td>
</tr>
<tr>
@@ -3251,10 +3251,10 @@
206
</th>
<td>
- 57.6
+ 68.1
</td>
<td>
- 39.8
+ 44.9
</td>
</tr>
<tr>
@@ -3262,10 +3262,10 @@
207
</th>
<td>
- 57.6
+ 42.1
</td>
<td>
- 29.0
+ 44.6
</td>
</tr>
<tr>
@@ -3273,10 +3273,10 @@
208
</th>
<td>
- 57.2
+ 45.1
</td>
<td>
- 86.3
+ 44.5
</td>
</tr>
<tr>
@@ -3284,10 +3284,10 @@
209
</th>
<td>
- 57.1
+ 65.3
</td>
<td>
- 24.0
+ 44.4
</td>
</tr>
<tr>
@@ -3295,10 +3295,10 @@
210
</th>
<td>
- 57.0
+ 7.0
</td>
<td>
- 81.5
+ 44.3
</td>
</tr>
<tr>
@@ -3306,10 +3306,10 @@
211
</th>
<td>
- 56.9
+ 34.6
</td>
<td>
- 33.5
+ 44.2
</td>
</tr>
<tr>
@@ -3317,10 +3317,10 @@
212
</th>
<td>
- 56.4
+ 19.7
</td>
<td>
- 32.6
+ 44.1
</td>
</tr>
<tr>
@@ -3328,10 +3328,10 @@
213
</th>
<td>
- 56.2
+ 6.0
</td>
<td>
- 81.7
+ 44.0
</td>
</tr>
<tr>
@@ -3339,10 +3339,10 @@
214
</th>
<td>
- 56.2
+ 99.9
</td>
<td>
- 39.9
+ 43.9
</td>
</tr>
<tr>
@@ -3350,10 +3350,10 @@
215
</th>
<td>
- 55.6
+ 91.8
</td>
<td>
- 33.8
+ 43.5
</td>
</tr>
<tr>
@@ -3361,10 +3361,10 @@
216
</th>
<td>
- 55.3
+ 52.1
</td>
<td>
- 25.5
+ 43.3
</td>
</tr>
<tr>
@@ -3372,10 +3372,10 @@
217
</th>
<td>
- 54.7
+ 70.9
</td>
<td>
- 36.1
+ 43.1
</td>
</tr>
<tr>
@@ -3383,10 +3383,10 @@
218
</th>
<td>
- 54.3
+ 51.8
</td>
<td>
- 31.5
+ 43.0
</td>
</tr>
<tr>
@@ -3394,10 +3394,10 @@
219
</th>
<td>
- 54.1
+ 24.9
</td>
<td>
- 52.0
+ 42.7
</td>
</tr>
<tr>
@@ -3405,10 +3405,10 @@
220
</th>
<td>
- 53.4
+ 65.1
</td>
<td>
- 48.5
+ 42.7
</td>
</tr>
<tr>
@@ -3416,10 +3416,10 @@
221
</th>
<td>
- 53.3
+ 74.9
</td>
<td>
- 65.1
+ 42.5
</td>
</tr>
<tr>
@@ -3427,10 +3427,10 @@
222
</th>
<td>
- 53.1
+ 38.7
</td>
<td>
- 26.2
+ 42.5
</td>
</tr>
<tr>
@@ -3438,10 +3438,10 @@
223
</th>
<td>
- 53.0
+ 51.6
</td>
<td>
- 61.6
+ 42.4
</td>
</tr>
<tr>
@@ -3449,10 +3449,10 @@
224
</th>
<td>
- 52.7
+ 100.0
</td>
<td>
- 24.6
+ 42.1
</td>
</tr>
<tr>
@@ -3460,10 +3460,10 @@
225
</th>
<td>
- 52.1
+ 24.2
</td>
<td>
- 43.3
+ 41.9
</td>
</tr>
<tr>
@@ -3471,10 +3471,10 @@
226
</th>
<td>
- 52.0
+ 3.5
</td>
<td>
- 61.6
+ 41.9
</td>
</tr>
<tr>
@@ -3482,10 +3482,10 @@
227
</th>
<td>
- 51.9
+ 21.2
</td>
<td>
- 35.4
+ 41.8
</td>
</tr>
<tr>
@@ -3493,10 +3493,10 @@
228
</th>
<td>
- 51.8
+ 95.8
</td>
<td>
- 43.0
+ 41.7
</td>
</tr>
<tr>
@@ -3504,10 +3504,10 @@
229
</th>
<td>
- 51.7
+ 1.4
</td>
<td>
- 26.7
+ 41.6
</td>
</tr>
<tr>
@@ -3515,10 +3515,10 @@
230
</th>
<td>
- 51.6
+ 48.3
</td>
<td>
- 42.4
+ 41.6
</td>
</tr>
<tr>
@@ -3526,10 +3526,10 @@
231
</th>
<td>
- 51.5
+ 17.7
</td>
<td>
- 30.6
+ 41.4
</td>
</tr>
<tr>
@@ -3537,10 +3537,10 @@
232
</th>
<td>
- 51.4
+ 67.4
</td>
<td>
- 72.5
+ 41.3
</td>
</tr>
<tr>
@@ -3548,10 +3548,10 @@
233
</th>
<td>
- 51.1
+ 38.3
</td>
<td>
- 27.0
+ 41.3
</td>
</tr>
<tr>
@@ -3559,10 +3559,10 @@
234
</th>
<td>
- 51.0
+ 79.4
</td>
<td>
- 45.0
+ 41.2
</td>
</tr>
<tr>
@@ -3570,10 +3570,10 @@
235
</th>
<td>
- 51.0
+ 93.7
</td>
<td>
- 24.6
+ 41.1
</td>
</tr>
<tr>
@@ -3581,10 +3581,10 @@
236
</th>
<td>
- 50.8
+ 78.6
</td>
<td>
- 28.2
+ 40.9
</td>
</tr>
<tr>
@@ -3592,10 +3592,10 @@
237
</th>
<td>
- 50.7
+ 2.0
</td>
<td>
- 51.9
+ 40.9
</td>
</tr>
<tr>
@@ -3603,10 +3603,10 @@
238
</th>
<td>
- 50.7
+ 22.7
</td>
<td>
- 50.5
+ 40.6
</td>
</tr>
<tr>
@@ -3614,10 +3614,10 @@
239
</th>
<td>
- 50.3
+ 22.1
</td>
<td>
- 37.5
+ 40.6
</td>
</tr>
<tr>
@@ -3625,10 +3625,10 @@
240
</th>
<td>
- 50.2
+ 32.3
</td>
<td>
- 58.6
+ 40.5
</td>
</tr>
<tr>
@@ -3636,10 +3636,10 @@
241
</th>
<td>
- 49.8
+ 77.5
</td>
<td>
- 57.2
+ 40.3
</td>
</tr>
<tr>
@@ -3647,10 +3647,10 @@
242
</th>
<td>
- 49.6
+ 65.8
</td>
<td>
- 30.8
+ 40.1
</td>
</tr>
<tr>
@@ -3658,10 +3658,10 @@
243
</th>
<td>
- 49.5
+ 56.2
</td>
<td>
- 50.5
+ 39.9
</td>
</tr>
<tr>
@@ -3669,10 +3669,10 @@
244
</th>
<td>
- 49.4
+ 57.6
</td>
<td>
- 37.9
+ 39.8
</td>
</tr>
<tr>
@@ -3680,10 +3680,10 @@
245
</th>
<td>
- 49.3
+ 79.0
</td>
<td>
- 76.3
+ 39.7
</td>
</tr>
<tr>
@@ -3691,10 +3691,10 @@
246
</th>
<td>
- 49.2
+ 14.8
</td>
<td>
- 39.6
+ 39.7
</td>
</tr>
<tr>
@@ -3702,10 +3702,10 @@
247
</th>
<td>
- 49.1
+ 9.4
</td>
<td>
- 82.2
+ 39.6
</td>
</tr>
<tr>
@@ -3713,10 +3713,10 @@
248
</th>
<td>
- 49.0
+ 49.2
</td>
<td>
- 68.6
+ 39.6
</td>
</tr>
<tr>
@@ -3724,10 +3724,10 @@
249
</th>
<td>
- 48.8
+ 75.0
</td>
<td>
- 37.5
+ 39.5
</td>
</tr>
<tr>
@@ -3735,10 +3735,10 @@
250
</th>
<td>
- 48.8
+ 22.5
</td>
<td>
- 35.6
+ 39.3
</td>
</tr>
<tr>
@@ -3746,10 +3746,10 @@
251
</th>
<td>
- 48.6
+ 57.9
</td>
<td>
- 28.4
+ 39.2
</td>
</tr>
<tr>
@@ -3757,10 +3757,10 @@
252
</th>
<td>
- 48.5
+ 58.1
</td>
<td>
- 24.6
+ 39.0
</td>
</tr>
<tr>
@@ -3768,10 +3768,10 @@
253
</th>
<td>
- 48.3
+ 96.9
</td>
<td>
- 55.2
+ 38.9
</td>
</tr>
<tr>
@@ -3779,10 +3779,10 @@
254
</th>
<td>
- 48.3
+ 63.9
</td>
<td>
- 41.6
+ 38.8
</td>
</tr>
<tr>
@@ -3790,10 +3790,10 @@
255
</th>
<td>
- 47.8
+ 98.8
</td>
<td>
- 37.0
+ 38.7
</td>
</tr>
<tr>
@@ -3801,10 +3801,10 @@
256
</th>
<td>
- 47.5
+ 62.7
</td>
<td>
- 23.7
+ 38.7
</td>
</tr>
<tr>
@@ -3812,10 +3812,10 @@
257
</th>
<td>
- 47.0
+ 32.8
</td>
<td>
- 67.9
+ 38.7
</td>
</tr>
<tr>
@@ -3823,10 +3823,10 @@
258
</th>
<td>
- 46.9
+ 22.0
</td>
<td>
- 59.7
+ 38.6
</td>
</tr>
<tr>
@@ -3834,10 +3834,10 @@
259
</th>
<td>
- 46.5
+ 34.1
</td>
<td>
- 60.4
+ 38.5
</td>
</tr>
<tr>
@@ -3845,10 +3845,10 @@
260
</th>
<td>
- 46.4
+ 37.2
</td>
<td>
- 46.4
+ 38.4
</td>
</tr>
<tr>
@@ -3856,10 +3856,10 @@
261
</th>
<td>
- 46.0
+ 6.3
</td>
<td>
- 51.3
+ 38.1
</td>
</tr>
<tr>
@@ -3867,10 +3867,10 @@
262
</th>
<td>
- 45.8
+ 1.7
</td>
<td>
- 87.7
+ 38.0
</td>
</tr>
<tr>
@@ -3878,10 +3878,10 @@
263
</th>
<td>
- 45.8
+ 49.4
</td>
<td>
- 67.6
+ 37.9
</td>
</tr>
<tr>
@@ -3889,10 +3889,10 @@
264
</th>
<td>
- 45.7
+ 27.7
</td>
<td>
- 48.7
+ 37.9
</td>
</tr>
<tr>
@@ -3900,10 +3900,10 @@
265
</th>
<td>
- 45.6
+ 98.6
</td>
<td>
- 59.4
+ 37.7
</td>
</tr>
<tr>
@@ -3911,10 +3911,10 @@
266
</th>
<td>
- 45.3
+ 35.1
</td>
<td>
- 37.3
+ 37.7
</td>
</tr>
<tr>
@@ -3922,10 +3922,10 @@
267
</th>
<td>
- 45.1
+ 48.8
</td>
<td>
- 44.5
+ 37.5
</td>
</tr>
<tr>
@@ -3933,10 +3933,10 @@
268
</th>
<td>
- 45.1
+ 50.3
</td>
<td>
- 25.2
+ 37.5
</td>
</tr>
<tr>
@@ -3944,10 +3944,10 @@
269
</th>
<td>
- 44.9
+ 31.2
</td>
<td>
- 52.9
+ 37.5
</td>
</tr>
<tr>
@@ -3955,10 +3955,10 @@
270
</th>
<td>
- 44.2
+ 85.8
</td>
<td>
- 31.9
+ 37.4
</td>
</tr>
<tr>
@@ -3966,10 +3966,10 @@
271
</th>
<td>
- 44.2
+ 86.4
</td>
<td>
- 29.9
+ 37.3
</td>
</tr>
<tr>
@@ -3977,10 +3977,10 @@
272
</th>
<td>
- 44.1
+ 45.3
</td>
<td>
- 32.8
+ 37.3
</td>
</tr>
<tr>
@@ -3988,10 +3988,10 @@
273
</th>
<td>
- 44.0
+ 67.3
</td>
<td>
- 26.3
+ 37.2
</td>
</tr>
<tr>
@@ -3999,10 +3999,10 @@
274
</th>
<td>
- 43.9
+ 99.3
</td>
<td>
- 32.2
+ 37.1
</td>
</tr>
<tr>
@@ -4010,10 +4010,10 @@
275
</th>
<td>
- 43.5
+ 47.8
</td>
<td>
- 45.8
+ 37.0
</td>
</tr>
<tr>
@@ -4021,10 +4021,10 @@
276
</th>
<td>
- 43.3
+ 33.7
</td>
<td>
- 50.9
+ 37.0
</td>
</tr>
<tr>
@@ -4032,10 +4032,10 @@
277
</th>
<td>
- 42.9
+ 75.5
</td>
<td>
- 52.5
+ 36.9
</td>
</tr>
<tr>
@@ -4043,10 +4043,10 @@
278
</th>
<td>
- 42.9
+ 19.2
</td>
<td>
- 29.4
+ 36.9
</td>
</tr>
<tr>
@@ -4054,10 +4054,10 @@
279
</th>
<td>
- 42.6
+ 15.1
</td>
<td>
- 29.2
+ 36.8
</td>
</tr>
<tr>
@@ -4065,10 +4065,10 @@
280
</th>
<td>
- 42.5
+ 2.5
</td>
<td>
- 53.2
+ 36.6
</td>
</tr>
<tr>
@@ -4076,10 +4076,10 @@
281
</th>
<td>
- 42.5
+ 31.2
</td>
<td>
- 33.3
+ 36.6
</td>
</tr>
<tr>
@@ -4087,10 +4087,10 @@
282
</th>
<td>
- 42.4
+ 59.9
</td>
<td>
- 32.2
+ 36.5
</td>
</tr>
<tr>
@@ -4098,10 +4098,10 @@
283
</th>
<td>
- 42.3
+ 8.5
</td>
<td>
- 65.5
+ 36.2
</td>
</tr>
<tr>
@@ -4109,10 +4109,10 @@
284
</th>
<td>
- 42.2
+ 54.7
</td>
<td>
- 32.6
+ 36.1
</td>
</tr>
<tr>
@@ -4120,10 +4120,10 @@
285
</th>
<td>
- 42.1
+ 89.5
</td>
<td>
- 44.6
+ 36.1
</td>
</tr>
<tr>
@@ -4131,10 +4131,10 @@
286
</th>
<td>
- 41.8
+ 19.5
</td>
<td>
- 49.7
+ 36.1
</td>
</tr>
<tr>
@@ -4142,10 +4142,10 @@
287
</th>
<td>
- 41.8
+ 98.2
</td>
<td>
- 34.9
+ 36.1
</td>
</tr>
<tr>
@@ -4153,10 +4153,10 @@
288
</th>
<td>
- 41.6
+ 13.5
</td>
<td>
- 31.2
+ 36.0
</td>
</tr>
<tr>
@@ -4164,10 +4164,10 @@
289
</th>
<td>
- 41.6
+ 13.8
</td>
<td>
- 25.8
+ 35.9
</td>
</tr>
<tr>
@@ -4175,10 +4175,10 @@
290
</th>
<td>
- 41.5
+ 80.9
</td>
<td>
- 47.9
+ 35.8
</td>
</tr>
<tr>
@@ -4186,10 +4186,10 @@
291
</th>
<td>
- 41.1
+ 27.5
</td>
<td>
- 31.3
+ 35.7
</td>
</tr>
<tr>
@@ -4197,10 +4197,10 @@
292
</th>
<td>
- 40.7
+ 21.6
</td>
<td>
- 85.9
+ 35.7
</td>
</tr>
<tr>
@@ -4208,10 +4208,10 @@
293
</th>
<td>
- 40.7
+ 48.8
</td>
<td>
- 32.7
+ 35.6
</td>
</tr>
<tr>
@@ -4219,10 +4219,10 @@
294
</th>
<td>
- 40.3
+ 51.9
</td>
<td>
- 49.4
+ 35.4
</td>
</tr>
<tr>
@@ -4230,10 +4230,10 @@
295
</th>
<td>
- 40.2
+ 66.0
</td>
<td>
- 72.0
+ 35.4
</td>
</tr>
<tr>
@@ -4241,10 +4241,10 @@
296
</th>
<td>
- 39.7
+ 18.6
</td>
<td>
- 23.9
+ 35.3
</td>
</tr>
<tr>
@@ -4252,10 +4252,10 @@
297
</th>
<td>
- 39.6
+ 41.8
</td>
<td>
- 50.5
+ 34.9
</td>
</tr>
<tr>
@@ -4263,10 +4263,10 @@
298
</th>
<td>
- 39.4
+ 18.1
</td>
<td>
- 47.3
+ 34.8
</td>
</tr>
<tr>
@@ -4274,10 +4274,10 @@
299
</th>
<td>
- 39.1
+ 3.2
</td>
<td>
- 34.3
+ 34.7
</td>
</tr>
<tr>
@@ -4285,10 +4285,10 @@
300
</th>
<td>
- 38.9
+ 95.0
</td>
<td>
- 48.8
+ 34.6
</td>
</tr>
<tr>
@@ -4296,10 +4296,10 @@
301
</th>
<td>
- 38.8
+ 21.3
</td>
<td>
- 48.7
+ 34.5
</td>
</tr>
<tr>
@@ -4307,10 +4307,10 @@
302
</th>
<td>
- 38.7
+ 34.8
</td>
<td>
- 42.5
+ 34.5
</td>
</tr>
<tr>
@@ -4318,10 +4318,10 @@
303
</th>
<td>
- 38.6
+ 6.2
</td>
<td>
- 25.0
+ 34.3
</td>
</tr>
<tr>
@@ -4329,10 +4329,10 @@
304
</th>
<td>
- 38.3
+ 39.1
</td>
<td>
- 41.3
+ 34.3
</td>
</tr>
<tr>
@@ -4340,10 +4340,10 @@
305
</th>
<td>
- 38.2
+ 20.7
</td>
<td>
- 63.0
+ 34.0
</td>
</tr>
<tr>
@@ -4351,10 +4351,10 @@
306
</th>
<td>
- 38.2
+ 100.0
</td>
<td>
- 62.2
+ 34.0
</td>
</tr>
<tr>
@@ -4362,10 +4362,10 @@
307
</th>
<td>
- 38.1
+ 27.4
</td>
<td>
- 23.6
+ 33.9
</td>
</tr>
<tr>
@@ -4373,10 +4373,10 @@
308
</th>
<td>
- 37.9
+ 65.7
</td>
<td>
- 51.9
+ 33.9
</td>
</tr>
<tr>
@@ -4384,10 +4384,10 @@
309
</th>
<td>
- 37.9
+ 58.1
</td>
<td>
- 48.5
+ 33.9
</td>
</tr>
<tr>
@@ -4395,10 +4395,10 @@
310
</th>
<td>
- 37.7
+ 88.6
</td>
<td>
- 62.8
+ 33.8
</td>
</tr>
<tr>
@@ -4406,10 +4406,10 @@
311
</th>
<td>
- 37.5
+ 55.6
</td>
<td>
- 52.0
+ 33.8
</td>
</tr>
<tr>
@@ -4417,10 +4417,10 @@
312
</th>
<td>
- 37.4
+ 64.8
</td>
<td>
- 60.0
+ 33.7
</td>
</tr>
<tr>
@@ -4428,10 +4428,10 @@
313
</th>
<td>
- 37.2
+ 21.6
</td>
<td>
- 38.4
+ 33.5
</td>
</tr>
<tr>
@@ -4439,10 +4439,10 @@
314
</th>
<td>
- 37.2
+ 56.9
</td>
<td>
- 23.5
+ 33.5
</td>
</tr>
<tr>
@@ -4450,10 +4450,10 @@
315
</th>
<td>
- 36.8
+ 97.0
</td>
<td>
- 30.3
+ 33.4
</td>
</tr>
<tr>
@@ -4461,10 +4461,10 @@
316
</th>
<td>
- 36.6
+ 5.1
</td>
<td>
- 64.7
+ 33.4
</td>
</tr>
<tr>
@@ -4472,10 +4472,10 @@
317
</th>
<td>
- 36.5
+ 32.4
</td>
<td>
- 25.9
+ 33.4
</td>
</tr>
<tr>
@@ -4483,10 +4483,10 @@
318
</th>
<td>
- 36.3
+ 42.5
</td>
<td>
- 27.1
+ 33.3
</td>
</tr>
<tr>
@@ -4494,10 +4494,10 @@
319
</th>
<td>
- 36.2
+ 1.4
</td>
<td>
- 65.2
+ 33.2
</td>
</tr>
<tr>
@@ -4505,10 +4505,10 @@
320
</th>
<td>
- 35.4
+ 3.2
</td>
<td>
- 26.8
+ 33.2
</td>
</tr>
<tr>
@@ -4516,10 +4516,10 @@
321
</th>
<td>
- 35.1
+ 4.8
</td>
<td>
- 37.7
+ 33.2
</td>
</tr>
<tr>
@@ -4527,10 +4527,10 @@
322
</th>
<td>
- 34.8
+ 65.0
</td>
<td>
- 34.5
+ 33.0
</td>
</tr>
<tr>
@@ -4538,10 +4538,10 @@
323
</th>
<td>
- 34.7
+ 44.1
</td>
<td>
- 26.2
+ 32.8
</td>
</tr>
<tr>
@@ -4549,10 +4549,10 @@
324
</th>
<td>
- 34.6
+ 26.2
</td>
<td>
- 44.2
+ 32.8
</td>
</tr>
<tr>
@@ -4560,10 +4560,10 @@
325
</th>
<td>
- 34.3
+ 20.7
</td>
<td>
- 26.2
+ 32.8
</td>
</tr>
<tr>
@@ -4571,10 +4571,10 @@
326
</th>
<td>
- 34.1
+ 32.8
</td>
<td>
- 38.5
+ 32.7
</td>
</tr>
<tr>
@@ -4582,10 +4582,10 @@
327
</th>
<td>
- 34.1
+ 40.7
</td>
<td>
- 25.7
+ 32.7
</td>
</tr>
<tr>
@@ -4593,10 +4593,10 @@
328
</th>
<td>
- 33.9
+ 42.2
</td>
<td>
- 46.9
+ 32.6
</td>
</tr>
<tr>
@@ -4604,10 +4604,10 @@
329
</th>
<td>
- 33.7
+ 100.0
</td>
<td>
- 37.0
+ 32.6
</td>
</tr>
<tr>
@@ -4615,10 +4615,10 @@
330
</th>
<td>
- 33.0
+ 3.4
</td>
<td>
- 48.5
+ 32.6
</td>
</tr>
<tr>
@@ -4626,10 +4626,10 @@
331
</th>
<td>
- 32.8
+ 56.4
</td>
<td>
- 38.7
+ 32.6
</td>
</tr>
<tr>
@@ -4637,10 +4637,10 @@
332
</th>
<td>
- 32.8
+ 14.0
</td>
<td>
- 32.7
+ 32.5
</td>
</tr>
<tr>
@@ -4648,10 +4648,10 @@
333
</th>
<td>
- 32.7
+ 79.6
</td>
<td>
- 68.7
+ 32.5
</td>
</tr>
<tr>
@@ -4659,10 +4659,10 @@
334
</th>
<td>
- 32.4
+ 99.1
</td>
<td>
- 33.4
+ 32.4
</td>
</tr>
<tr>
@@ -4670,10 +4670,10 @@
335
</th>
<td>
- 32.3
+ 61.8
</td>
<td>
- 40.5
+ 32.3
</td>
</tr>
<tr>
@@ -4681,10 +4681,10 @@
336
</th>
<td>
- 32.2
+ 42.4
</td>
<td>
- 45.2
+ 32.2
</td>
</tr>
<tr>
@@ -4692,10 +4692,10 @@
337
</th>
<td>
- 31.8
+ 22.2
</td>
<td>
- 65.2
+ 32.2
</td>
</tr>
<tr>
@@ -4703,10 +4703,10 @@
338
</th>
<td>
- 31.8
+ 1.8
</td>
<td>
- 28.1
+ 32.2
</td>
</tr>
<tr>
@@ -4714,10 +4714,10 @@
339
</th>
<td>
- 31.8
+ 43.9
</td>
<td>
- 26.0
+ 32.2
</td>
</tr>
<tr>
@@ -4725,10 +4725,10 @@
340
</th>
<td>
- 31.3
+ 76.4
</td>
<td>
- 56.3
+ 32.1
</td>
</tr>
<tr>
@@ -4736,10 +4736,10 @@
341
</th>
<td>
- 31.2
+ 29.3
</td>
<td>
- 37.5
+ 32.1
</td>
</tr>
<tr>
@@ -4747,10 +4747,10 @@
342
</th>
<td>
- 31.2
+ 2.0
</td>
<td>
- 36.6
+ 32.0
</td>
</tr>
<tr>
@@ -4758,10 +4758,10 @@
343
</th>
<td>
- 30.8
+ 44.2
</td>
<td>
- 51.3
+ 31.9
</td>
</tr>
<tr>
@@ -4769,10 +4769,10 @@
344
</th>
<td>
- 30.7
+ 84.3
</td>
<td>
- 24.9
+ 31.6
</td>
</tr>
<tr>
@@ -4780,10 +4780,10 @@
345
</th>
<td>
- 29.9
+ 1.4
</td>
<td>
- 62.8
+ 31.5
</td>
</tr>
<tr>
@@ -4791,10 +4791,10 @@
346
</th>
<td>
- 29.6
+ 54.3
</td>
<td>
- 58.0
+ 31.5
</td>
</tr>
<tr>
@@ -4802,10 +4802,10 @@
347
</th>
<td>
- 29.5
+ 72.3
</td>
<td>
- 29.5
+ 31.4
</td>
</tr>
<tr>
@@ -4813,10 +4813,10 @@
348
</th>
<td>
- 29.3
+ 1.7
</td>
<td>
- 32.1
+ 31.4
</td>
</tr>
<tr>
@@ -4824,10 +4824,10 @@
349
</th>
<td>
- 29.2
+ 11.4
</td>
<td>
- 31.1
+ 31.3
</td>
</tr>
<tr>
@@ -4835,10 +4835,10 @@
350
</th>
<td>
- 29.1
+ 41.1
</td>
<td>
- 25.8
+ 31.3
</td>
</tr>
<tr>
@@ -4846,10 +4846,10 @@
351
</th>
<td>
- 29.0
+ 97.7
</td>
<td>
- 46.8
+ 31.2
</td>
</tr>
<tr>
@@ -4857,10 +4857,10 @@
352
</th>
<td>
- 28.6
+ 41.6
</td>
<td>
- 29.1
+ 31.2
</td>
</tr>
<tr>
@@ -4868,10 +4868,10 @@
353
</th>
<td>
- 28.6
+ 29.2
</td>
<td>
- 26.2
+ 31.1
</td>
</tr>
<tr>
@@ -4879,10 +4879,10 @@
354
</th>
<td>
- 27.8
+ 22.3
</td>
<td>
- 46.2
+ 31.0
</td>
</tr>
<tr>
@@ -4890,10 +4890,10 @@
355
</th>
<td>
- 27.7
+ 1.4
</td>
<td>
- 37.9
+ 30.9
</td>
</tr>
<tr>
@@ -4901,10 +4901,10 @@
356
</th>
<td>
- 27.5
+ 94.7
</td>
<td>
- 35.7
+ 30.9
</td>
</tr>
<tr>
@@ -4912,10 +4912,10 @@
357
</th>
<td>
- 27.4
+ 19.0
</td>
<td>
- 33.9
+ 30.9
</td>
</tr>
<tr>
@@ -4923,10 +4923,10 @@
358
</th>
<td>
- 27.2
+ 49.6
</td>
<td>
- 26.7
+ 30.8
</td>
</tr>
<tr>
@@ -4934,10 +4934,10 @@
359
</th>
<td>
- 27.0
+ 11.5
</td>
<td>
- 28.3
+ 30.8
</td>
</tr>
<tr>
@@ -4945,10 +4945,10 @@
360
</th>
<td>
- 26.7
+ 78.7
</td>
<td>
- 79.5
+ 30.7
</td>
</tr>
<tr>
@@ -4956,10 +4956,10 @@
361
</th>
<td>
- 26.6
+ 67.5
</td>
<td>
- 49.1
+ 30.7
</td>
</tr>
<tr>
@@ -4967,10 +4967,10 @@
362
</th>
<td>
- 26.5
+ 51.5
</td>
<td>
- 28.3
+ 30.6
</td>
</tr>
<tr>
@@ -4978,10 +4978,10 @@
363
</th>
<td>
- 26.2
+ 11.2
</td>
<td>
- 32.8
+ 30.6
</td>
</tr>
<tr>
@@ -4989,10 +4989,10 @@
364
</th>
<td>
- 25.6
+ 20.0
</td>
<td>
- 25.1
+ 30.3
</td>
</tr>
<tr>
@@ -5000,10 +5000,10 @@
365
</th>
<td>
- 25.4
+ 98.1
</td>
<td>
- 28.2
+ 30.3
</td>
</tr>
<tr>
@@ -5011,10 +5011,10 @@
366
</th>
<td>
- 25.1
+ 36.8
</td>
<td>
- 50.2
+ 30.3
</td>
</tr>
<tr>
@@ -5022,10 +5022,10 @@
367
</th>
<td>
- 25.1
+ 11.7
</td>
<td>
- 45.9
+ 30.2
</td>
</tr>
<tr>
@@ -5033,10 +5033,10 @@
368
</th>
<td>
- 25.1
+ 77.8
</td>
<td>
- 25.9
+ 30.1
</td>
</tr>
<tr>
@@ -5044,10 +5044,10 @@
369
</th>
<td>
- 24.9
+ 91.2
</td>
<td>
- 52.1
+ 30.0
</td>
</tr>
<tr>
@@ -5055,10 +5055,10 @@
370
</th>
<td>
- 24.9
+ 99.7
</td>
<td>
- 50.5
+ 30.0
</td>
</tr>
<tr>
@@ -5066,10 +5066,10 @@
371
</th>
<td>
- 24.9
+ 2.8
</td>
<td>
- 42.7
+ 29.9
</td>
</tr>
<tr>
@@ -5077,10 +5077,10 @@
372
</th>
<td>
- 24.2
+ 44.2
</td>
<td>
- 41.9
+ 29.9
</td>
</tr>
<tr>
@@ -5088,10 +5088,10 @@
373
</th>
<td>
- 24.2
+ 8.3
</td>
<td>
- 29.5
+ 29.9
</td>
</tr>
<tr>
@@ -5099,10 +5099,10 @@
374
</th>
<td>
- 24.2
+ 65.1
</td>
<td>
- 27.9
+ 29.7
</td>
</tr>
<tr>
@@ -5110,10 +5110,10 @@
375
</th>
<td>
- 23.9
+ 29.5
</td>
<td>
- 49.7
+ 29.5
</td>
</tr>
<tr>
@@ -5121,10 +5121,10 @@
376
</th>
<td>
- 23.7
+ 99.8
</td>
<td>
- 28.3
+ 29.5
</td>
</tr>
<tr>
@@ -5132,10 +5132,10 @@
377
</th>
<td>
- 23.3
+ 24.2
</td>
<td>
- 49.7
+ 29.5
</td>
</tr>
<tr>
@@ -5143,10 +5143,10 @@
378
</th>
<td>
- 23.3
+ 59.7
</td>
<td>
- 27.8
+ 29.5
</td>
</tr>
<tr>
@@ -5154,10 +5154,10 @@
379
</th>
<td>
- 23.1
+ 42.9
</td>
<td>
- 26.7
+ 29.4
</td>
</tr>
<tr>
@@ -5165,10 +5165,10 @@
380
</th>
<td>
- 22.8
+ 42.6
</td>
<td>
- 26.0
+ 29.2
</td>
</tr>
<tr>
@@ -5176,10 +5176,10 @@
381
</th>
<td>
- 22.7
+ 28.6
</td>
<td>
- 50.4
+ 29.1
</td>
</tr>
<tr>
@@ -5187,10 +5187,10 @@
382
</th>
<td>
- 22.7
+ 4.7
</td>
<td>
- 40.6
+ 29.0
</td>
</tr>
<tr>
@@ -5198,10 +5198,10 @@
383
</th>
<td>
- 22.5
+ 57.6
</td>
<td>
- 39.3
+ 29.0
</td>
</tr>
<tr>
@@ -5209,10 +5209,10 @@
384
</th>
<td>
- 22.5
+ 73.9
</td>
<td>
- 27.4
+ 28.6
</td>
</tr>
<tr>
@@ -5220,10 +5220,10 @@
385
</th>
<td>
- 22.4
+ 12.5
</td>
<td>
- 23.8
+ 28.6
</td>
</tr>
<tr>
@@ -5231,10 +5231,10 @@
386
</th>
<td>
- 22.3
+ 48.6
</td>
<td>
- 31.0
+ 28.4
</td>
</tr>
<tr>
@@ -5242,10 +5242,10 @@
387
</th>
<td>
- 22.2
+ 26.5
</td>
<td>
- 32.2
+ 28.3
</td>
</tr>
<tr>
@@ -5253,10 +5253,10 @@
388
</th>
<td>
- 22.1
+ 1.3
</td>
<td>
- 40.6
+ 28.3
</td>
</tr>
<tr>
@@ -5264,10 +5264,10 @@
389
</th>
<td>
- 22.0
+ 23.7
</td>
<td>
- 38.6
+ 28.3
</td>
</tr>
<tr>
@@ -5275,10 +5275,10 @@
390
</th>
<td>
- 21.9
+ 27.0
</td>
<td>
- 26.6
+ 28.3
</td>
</tr>
<tr>
@@ -5286,10 +5286,10 @@
391
</th>
<td>
- 21.6
+ 8.2
</td>
<td>
- 35.7
+ 28.3
</td>
</tr>
<tr>
@@ -5297,10 +5297,10 @@
392
</th>
<td>
- 21.6
+ 50.8
</td>
<td>
- 33.5
+ 28.2
</td>
</tr>
<tr>
@@ -5308,10 +5308,10 @@
393
</th>
<td>
- 21.4
+ 95.4
</td>
<td>
- 24.7
+ 28.2
</td>
</tr>
<tr>
@@ -5319,10 +5319,10 @@
394
</th>
<td>
- 21.3
+ 25.4
</td>
<td>
- 34.5
+ 28.2
</td>
</tr>
<tr>
@@ -5330,10 +5330,10 @@
395
</th>
<td>
- 21.2
+ 65.3
</td>
<td>
- 58.8
+ 28.2
</td>
</tr>
<tr>
@@ -5341,10 +5341,10 @@
396
</th>
<td>
- 21.2
+ 85.7
</td>
<td>
- 41.8
+ 28.1
</td>
</tr>
<tr>
@@ -5352,10 +5352,10 @@
397
</th>
<td>
- 21.2
+ 2.8
</td>
<td>
- 24.2
+ 28.1
</td>
</tr>
<tr>
@@ -5363,10 +5363,10 @@
398
</th>
<td>
- 20.9
+ 31.8
</td>
<td>
- 23.5
+ 28.1
</td>
</tr>
<tr>
@@ -5374,10 +5374,10 @@
399
</th>
<td>
- 20.7
+ 1.9
</td>
<td>
- 34.0
+ 28.0
</td>
</tr>
<tr>
@@ -5385,10 +5385,10 @@
400
</th>
<td>
- 20.7
+ 58.7
</td>
<td>
- 32.8
+ 27.9
</td>
</tr>
<tr>
@@ -5396,10 +5396,10 @@
401
</th>
<td>
- 20.3
+ 15.2
</td>
<td>
- 27.3
+ 27.9
</td>
</tr>
<tr>
@@ -5407,10 +5407,10 @@
402
</th>
<td>
- 20.0
+ 24.2
</td>
<td>
- 30.3
+ 27.9
</td>
</tr>
<tr>
@@ -5418,10 +5418,10 @@
403
</th>
<td>
- 19.7
+ 23.3
</td>
<td>
- 44.1
+ 27.8
</td>
</tr>
<tr>
@@ -5429,10 +5429,10 @@
404
</th>
<td>
- 19.6
+ 13.3
</td>
<td>
- 24.3
+ 27.6
</td>
</tr>
<tr>
@@ -5440,10 +5440,10 @@
405
</th>
<td>
- 19.5
+ 59.9
</td>
<td>
- 36.1
+ 27.6
</td>
</tr>
<tr>
@@ -5451,10 +5451,10 @@
406
</th>
<td>
- 19.2
+ 1.9
</td>
<td>
- 36.9
+ 27.6
</td>
</tr>
<tr>
@@ -5462,10 +5462,10 @@
407
</th>
<td>
- 19.0
+ 18.5
</td>
<td>
- 30.9
+ 27.4
</td>
</tr>
<tr>
@@ -5473,10 +5473,10 @@
408
</th>
<td>
- 18.6
+ 22.5
</td>
<td>
- 35.3
+ 27.4
</td>
</tr>
<tr>
@@ -5484,10 +5484,10 @@
409
</th>
<td>
- 18.5
+ 20.3
</td>
<td>
- 27.4
+ 27.3
</td>
</tr>
<tr>
@@ -5495,10 +5495,10 @@
410
</th>
<td>
- 18.4
+ 4.0
</td>
<td>
- 25.2
+ 27.2
</td>
</tr>
<tr>
@@ -5506,10 +5506,10 @@
411
</th>
<td>
- 18.1
+ 9.0
</td>
<td>
- 34.8
+ 27.2
</td>
</tr>
<tr>
@@ -5517,10 +5517,10 @@
412
</th>
<td>
- 17.7
+ 59.6
</td>
<td>
- 41.4
+ 27.2
</td>
</tr>
<tr>
@@ -5528,10 +5528,10 @@
413
</th>
<td>
- 16.2
+ 8.4
</td>
<td>
- 52.6
+ 27.1
</td>
</tr>
<tr>
@@ -5539,10 +5539,10 @@
414
</th>
<td>
- 16.2
+ 36.3
</td>
<td>
- 26.8
+ 27.1
</td>
</tr>
<tr>
@@ -5550,10 +5550,10 @@
415
</th>
<td>
- 16.1
+ 51.1
</td>
<td>
- 25.7
+ 27.0
</td>
</tr>
<tr>
@@ -5572,10 +5572,10 @@
417
</th>
<td>
- 15.3
+ 4.6
</td>
<td>
- 25.7
+ 27.0
</td>
</tr>
<tr>
@@ -5583,10 +5583,10 @@
418
</th>
<td>
- 15.2
+ 5.1
</td>
<td>
- 27.9
+ 26.9
</td>
</tr>
<tr>
@@ -5594,10 +5594,10 @@
419
</th>
<td>
- 15.1
+ 16.2
</td>
<td>
- 36.8
+ 26.8
</td>
</tr>
<tr>
@@ -5605,10 +5605,10 @@
420
</th>
<td>
- 14.9
+ 35.4
</td>
<td>
- 24.7
+ 26.8
</td>
</tr>
<tr>
@@ -5616,10 +5616,10 @@
421
</th>
<td>
- 14.8
+ 13.6
</td>
<td>
- 39.7
+ 26.7
</td>
</tr>
<tr>
@@ -5627,10 +5627,10 @@
422
</th>
<td>
- 14.8
+ 12.6
</td>
<td>
- 24.8
+ 26.7
</td>
</tr>
<tr>
@@ -5638,10 +5638,10 @@
423
</th>
<td>
- 14.8
+ 27.2
</td>
<td>
- 23.9
+ 26.7
</td>
</tr>
<tr>
@@ -5649,10 +5649,10 @@
424
</th>
<td>
- 14.5
+ 23.1
</td>
<td>
- 53.7
+ 26.7
</td>
</tr>
<tr>
@@ -5660,10 +5660,10 @@
425
</th>
<td>
- 14.2
+ 51.7
</td>
<td>
- 25.9
+ 26.7
</td>
</tr>
<tr>
@@ -5671,10 +5671,10 @@
426
</th>
<td>
- 14.0
+ 21.9
</td>
<td>
- 32.5
+ 26.6
</td>
</tr>
<tr>
@@ -5682,10 +5682,10 @@
427
</th>
<td>
- 13.8
+ 99.8
</td>
<td>
- 35.9
+ 26.5
</td>
</tr>
<tr>
@@ -5693,10 +5693,10 @@
428
</th>
<td>
- 13.6
+ 2.6
</td>
<td>
- 26.7
+ 26.4
</td>
</tr>
<tr>
@@ -5704,10 +5704,10 @@
429
</th>
<td>
- 13.5
+ 64.6
</td>
<td>
- 36.0
+ 26.3
</td>
</tr>
<tr>
@@ -5715,10 +5715,10 @@
430
</th>
<td>
- 13.5
+ 44.0
</td>
<td>
- 24.7
+ 26.3
</td>
</tr>
<tr>
@@ -5726,10 +5726,10 @@
431
</th>
<td>
- 13.3
+ 28.6
</td>
<td>
- 27.6
+ 26.2
</td>
</tr>
<tr>
@@ -5737,10 +5737,10 @@
432
</th>
<td>
- 12.6
+ 53.1
</td>
<td>
- 26.7
+ 26.2
</td>
</tr>
<tr>
@@ -5748,10 +5748,10 @@
433
</th>
<td>
- 12.5
+ 34.3
</td>
<td>
- 50.2
+ 26.2
</td>
</tr>
<tr>
@@ -5759,10 +5759,10 @@
434
</th>
<td>
- 12.5
+ 5.9
</td>
<td>
- 28.6
+ 26.2
</td>
</tr>
<tr>
@@ -5770,10 +5770,10 @@
435
</th>
<td>
- 12.4
+ 34.7
</td>
<td>
- 26.0
+ 26.2
</td>
</tr>
<tr>
@@ -5781,10 +5781,10 @@
436
</th>
<td>
- 11.7
+ 12.4
</td>
<td>
- 50.2
+ 26.0
</td>
</tr>
<tr>
@@ -5792,10 +5792,10 @@
437
</th>
<td>
- 11.7
+ 65.5
</td>
<td>
- 30.2
+ 26.0
</td>
</tr>
<tr>
@@ -5803,10 +5803,10 @@
438
</th>
<td>
- 11.6
+ 31.8
</td>
<td>
- 59.9
+ 26.0
</td>
</tr>
<tr>
@@ -5814,10 +5814,10 @@
439
</th>
<td>
- 11.6
+ 97.3
</td>
<td>
- 24.3
+ 26.0
</td>
</tr>
<tr>
@@ -5825,10 +5825,10 @@
440
</th>
<td>
- 11.5
+ 22.8
</td>
<td>
- 30.8
+ 26.0
</td>
</tr>
<tr>
@@ -5836,10 +5836,10 @@
441
</th>
<td>
- 11.4
+ 68.0
</td>
<td>
- 31.3
+ 25.9
</td>
</tr>
<tr>
@@ -5847,10 +5847,10 @@
442
</th>
<td>
- 11.2
+ 14.2
</td>
<td>
- 30.6
+ 25.9
</td>
</tr>
<tr>
@@ -5858,10 +5858,10 @@
443
</th>
<td>
- 10.9
+ 25.1
</td>
<td>
- 24.9
+ 25.9
</td>
</tr>
<tr>
@@ -5869,10 +5869,10 @@
444
</th>
<td>
- 10.0
+ 36.5
</td>
<td>
- 24.9
+ 25.9
</td>
</tr>
<tr>
@@ -5880,10 +5880,10 @@
445
</th>
<td>
- 9.6
+ 29.1
</td>
<td>
- 24.5
+ 25.8
</td>
</tr>
<tr>
@@ -5891,10 +5891,10 @@
446
</th>
<td>
- 9.6
+ 41.6
</td>
<td>
- 24.1
+ 25.8
</td>
</tr>
<tr>
@@ -5902,10 +5902,10 @@
447
</th>
<td>
- 9.4
+ 34.1
</td>
<td>
- 39.6
+ 25.7
</td>
</tr>
<tr>
@@ -5913,10 +5913,10 @@
448
</th>
<td>
- 9.0
+ 16.1
</td>
<td>
- 27.2
+ 25.7
</td>
</tr>
<tr>
@@ -5924,10 +5924,10 @@
449
</th>
<td>
- 8.9
+ 72.5
</td>
<td>
- 23.4
+ 25.7
</td>
</tr>
<tr>
@@ -5935,10 +5935,10 @@
450
</th>
<td>
- 8.5
+ 96.4
</td>
<td>
- 36.2
+ 25.7
</td>
</tr>
<tr>
@@ -5946,10 +5946,10 @@
451
</th>
<td>
- 8.5
+ 15.3
</td>
<td>
- 23.4
+ 25.7
</td>
</tr>
<tr>
@@ -5957,10 +5957,10 @@
452
</th>
<td>
- 8.4
+ 94.8
</td>
<td>
- 27.1
+ 25.6
</td>
</tr>
<tr>
@@ -5968,10 +5968,10 @@
453
</th>
<td>
- 8.3
+ 98.4
</td>
<td>
- 29.9
+ 25.5
</td>
</tr>
<tr>
@@ -5979,10 +5979,10 @@
454
</th>
<td>
- 8.2
+ 55.3
</td>
<td>
- 28.3
+ 25.5
</td>
</tr>
<tr>
@@ -5990,10 +5990,10 @@
455
</th>
<td>
- 7.7
+ 4.1
</td>
<td>
- 23.2
+ 25.2
</td>
</tr>
<tr>
@@ -6001,10 +6001,10 @@
456
</th>
<td>
- 7.0
+ 94.4
</td>
<td>
- 48.8
+ 25.2
</td>
</tr>
<tr>
@@ -6012,10 +6012,10 @@
457
</th>
<td>
- 7.0
+ 73.1
</td>
<td>
- 44.3
+ 25.2
</td>
</tr>
<tr>
@@ -6023,10 +6023,10 @@
458
</th>
<td>
- 6.3
+ 18.4
</td>
<td>
- 38.1
+ 25.2
</td>
</tr>
<tr>
@@ -6034,10 +6034,10 @@
459
</th>
<td>
- 6.2
+ 45.1
</td>
<td>
- 34.3
+ 25.2
</td>
</tr>
<tr>
@@ -6045,10 +6045,10 @@
460
</th>
<td>
- 6.0
+ 25.6
</td>
<td>
- 44.0
+ 25.1
</td>
</tr>
<tr>
@@ -6056,10 +6056,10 @@
461
</th>
<td>
- 5.9
+ 38.6
</td>
<td>
- 46.0
+ 25.0
</td>
</tr>
<tr>
@@ -6067,10 +6067,10 @@
462
</th>
<td>
- 5.9
+ 30.7
</td>
<td>
- 26.2
+ 24.9
</td>
</tr>
<tr>
@@ -6078,10 +6078,10 @@
463
</th>
<td>
- 5.1
+ 10.9
</td>
<td>
- 33.4
+ 24.9
</td>
</tr>
<tr>
@@ -6089,10 +6089,10 @@
464
</th>
<td>
- 5.1
+ 10.0
</td>
<td>
- 26.9
+ 24.9
</td>
</tr>
<tr>
@@ -6100,10 +6100,10 @@
465
</th>
<td>
- 4.8
+ 14.8
</td>
<td>
- 33.2
+ 24.8
</td>
</tr>
<tr>
@@ -6111,10 +6111,10 @@
466
</th>
<td>
- 4.7
+ 70.8
</td>
<td>
- 29.0
+ 24.7
</td>
</tr>
<tr>
@@ -6122,10 +6122,10 @@
467
</th>
<td>
- 4.6
+ 14.9
</td>
<td>
- 62.2
+ 24.7
</td>
</tr>
<tr>
@@ -6133,10 +6133,10 @@
468
</th>
<td>
- 4.6
+ 21.4
</td>
<td>
- 27.0
+ 24.7
</td>
</tr>
<tr>
@@ -6144,10 +6144,10 @@
469
</th>
<td>
- 4.3
+ 13.5
</td>
<td>
- 45.9
+ 24.7
</td>
</tr>
<tr>
@@ -6155,10 +6155,10 @@
470
</th>
<td>
- 4.1
+ 52.7
</td>
<td>
- 25.2
+ 24.6
</td>
</tr>
<tr>
@@ -6166,10 +6166,10 @@
471
</th>
<td>
- 4.0
+ 48.5
</td>
<td>
- 27.2
+ 24.6
</td>
</tr>
<tr>
@@ -6177,10 +6177,10 @@
472
</th>
<td>
- 3.5
+ 51.0
</td>
<td>
- 41.9
+ 24.6
</td>
</tr>
<tr>
@@ -6188,10 +6188,10 @@
473
</th>
<td>
- 3.4
+ 9.6
</td>
<td>
- 32.6
+ 24.5
</td>
</tr>
<tr>
@@ -6199,10 +6199,10 @@
474
</th>
<td>
- 3.2
+ 68.7
</td>
<td>
- 34.7
+ 24.4
</td>
</tr>
<tr>
@@ -6210,10 +6210,10 @@
475
</th>
<td>
- 3.2
+ 2.1
</td>
<td>
- 33.2
+ 24.4
</td>
</tr>
<tr>
@@ -6232,10 +6232,10 @@
477
</th>
<td>
- 2.8
+ 11.6
</td>
<td>
- 29.9
+ 24.3
</td>
</tr>
<tr>
@@ -6243,10 +6243,10 @@
478
</th>
<td>
- 2.8
+ 19.6
</td>
<td>
- 28.1
+ 24.3
</td>
</tr>
<tr>
@@ -6254,10 +6254,10 @@
479
</th>
<td>
- 2.7
+ 21.2
</td>
<td>
- 61.4
+ 24.2
</td>
</tr>
<tr>
@@ -6265,10 +6265,10 @@
480
</th>
<td>
- 2.6
+ 9.6
</td>
<td>
- 26.4
+ 24.1
</td>
</tr>
<tr>
@@ -6276,10 +6276,10 @@
481
</th>
<td>
- 2.5
+ 85.1
</td>
<td>
- 36.6
+ 24.0
</td>
</tr>
<tr>
@@ -6287,10 +6287,10 @@
482
</th>
<td>
- 2.3
+ 39.7
</td>
<td>
- 47.6
+ 23.9
</td>
</tr>
<tr>
@@ -6309,10 +6309,10 @@
484
</th>
<td>
- 2.1
+ 14.8
</td>
<td>
- 24.4
+ 23.9
</td>
</tr>
<tr>
@@ -6320,10 +6320,10 @@
485
</th>
<td>
- 2.0
+ 1.2
</td>
<td>
- 40.9
+ 23.9
</td>
</tr>
<tr>
@@ -6331,10 +6331,10 @@
486
</th>
<td>
- 2.0
+ 57.1
</td>
<td>
- 32.0
+ 24.0
</td>
</tr>
<tr>
@@ -6342,10 +6342,10 @@
487
</th>
<td>
- 1.9
+ 22.4
</td>
<td>
- 28.0
+ 23.8
</td>
</tr>
<tr>
@@ -6353,10 +6353,10 @@
488
</th>
<td>
- 1.9
+ 96.4
</td>
<td>
- 27.6
+ 23.7
</td>
</tr>
<tr>
@@ -6364,10 +6364,10 @@
489
</th>
<td>
- 1.8
+ 47.5
</td>
<td>
- 32.2
+ 23.7
</td>
</tr>
<tr>
@@ -6378,7 +6378,7 @@
1.7
</td>
<td>
- 61.0
+ 23.6
</td>
</tr>
<tr>
@@ -6386,10 +6386,10 @@
491
</th>
<td>
- 1.7
+ 38.1
</td>
<td>
- 38.0
+ 23.6
</td>
</tr>
<tr>
@@ -6397,10 +6397,10 @@
492
</th>
<td>
- 1.7
+ 79.8
</td>
<td>
- 31.4
+ 23.5
</td>
</tr>
<tr>
@@ -6408,10 +6408,10 @@
493
</th>
<td>
- 1.7
+ 37.2
</td>
<td>
- 23.6
+ 23.5
</td>
</tr>
<tr>
@@ -6419,10 +6419,10 @@
494
</th>
<td>
- 1.4
+ 20.9
</td>
<td>
- 41.6
+ 23.5
</td>
</tr>
<tr>
@@ -6430,10 +6430,10 @@
495
</th>
<td>
- 1.4
+ 8.9
</td>
<td>
- 33.2
+ 23.4
</td>
</tr>
<tr>
@@ -6441,10 +6441,10 @@
496
</th>
<td>
- 1.4
+ 82.0
</td>
<td>
- 31.5
+ 23.4
</td>
</tr>
<tr>
@@ -6452,10 +6452,10 @@
497
</th>
<td>
- 1.4
+ 70.7
</td>
<td>
- 30.9
+ 23.4
</td>
</tr>
<tr>
@@ -6463,10 +6463,10 @@
498
</th>
<td>
- 1.3
+ 8.5
</td>
<td>
- 28.3
+ 23.4
</td>
</tr>
<tr>
@@ -6474,10 +6474,10 @@
499
</th>
<td>
- 1.2
+ 7.7
</td>
<td>
- 23.9
+ 23.2
</td>
</tr>
</tbody>
@@ -6535,10 +6535,10 @@
3
</th>
<td>
- 100.0
+ 96.5
</td>
<td>
- 100.0
+ 87.1
</td>
</tr>
<tr>
@@ -6546,10 +6546,10 @@
4
</th>
<td>
- 100.0
+ 99.2
</td>
<td>
- 99.9
+ 92.2
</td>
</tr>
<tr>
@@ -6557,10 +6557,10 @@
5
</th>
<td>
- 99.9
+ 96.5
</td>
<td>
- 100.0
+ 92.5
</td>
</tr>
<tr>
@@ -6579,10 +6579,10 @@
7
</th>
<td>
- 99.7
+ 99.9
</td>
<td>
- 98.1
+ 100.0
</td>
</tr>
<tr>
@@ -6590,10 +6590,10 @@
8
</th>
<td>
- 99.2
+ 98.3
</td>
<td>
- 92.2
+ 91.4
</td>
</tr>
<tr>
@@ -6601,10 +6601,10 @@
9
</th>
<td>
- 98.5
+ 99.7
</td>
<td>
- 91.3
+ 98.1
</td>
</tr>
<tr>
@@ -6612,10 +6612,10 @@
10
</th>
<td>
- 98.3
+ 87.9
</td>
<td>
- 91.4
+ 47.2
</td>
</tr>
<tr>
@@ -6623,10 +6623,10 @@
11
</th>
<td>
- 96.5
+ 98.5
</td>
<td>
- 92.5
+ 91.3
</td>
</tr>
<tr>
@@ -6634,10 +6634,10 @@
12
</th>
<td>
- 96.5
+ 100.0
</td>
<td>
- 87.1
+ 100.0
</td>
</tr>
<tr>
@@ -6645,10 +6645,10 @@
13
</th>
<td>
- 95.9
+ 84.4
</td>
<td>
- 99.0
+ 71.9
</td>
</tr>
<tr>
@@ -6656,10 +6656,10 @@
14
</th>
<td>
- 93.7
+ 95.9
</td>
<td>
- 85.2
+ 99.0
</td>
</tr>
<tr>
@@ -6667,10 +6667,10 @@
15
</th>
<td>
- 90.0
+ 100.0
</td>
<td>
- 61.6
+ 99.9
</td>
</tr>
<tr>
@@ -6678,10 +6678,10 @@
16
</th>
<td>
- 87.9
+ 86.1
</td>
<td>
- 47.2
+ 79.8
</td>
</tr>
<tr>
@@ -6689,10 +6689,10 @@
17
</th>
<td>
- 86.1
+ 72.1
</td>
<td>
- 79.8
+ 69.0
</td>
</tr>
<tr>
@@ -6700,10 +6700,10 @@
18
</th>
<td>
- 85.6
+ 90.0
</td>
<td>
- 60.9
+ 61.6
</td>
</tr>
<tr>
@@ -6711,10 +6711,10 @@
19
</th>
<td>
- 84.8
+ 57.6
</td>
<td>
- 48.6
+ 54.2
</td>
</tr>
<tr>
@@ -6722,10 +6722,10 @@
20
</th>
<td>
- 84.4
+ 93.7
</td>
<td>
- 71.9
+ 85.2
</td>
</tr>
<tr>
@@ -6733,10 +6733,10 @@
21
</th>
<td>
- 82.4
+ 84.8
</td>
<td>
- 48.1
+ 48.6
</td>
</tr>
<tr>
@@ -6744,10 +6744,10 @@
22
</th>
<td>
- 76.7
+ 82.4
</td>
<td>
- 69.8
+ 48.1
</td>
</tr>
<tr>
@@ -6755,10 +6755,10 @@
23
</th>
<td>
- 72.1
+ 85.6
</td>
<td>
- 69.0
+ 60.9
</td>
</tr>
<tr>
@@ -6777,10 +6777,10 @@
25
</th>
<td>
- 65.5
+ 76.7
</td>
<td>
- 44.7
+ 69.8
</td>
</tr>
<tr>
@@ -6788,10 +6788,10 @@
26
</th>
<td>
- 64.8
+ 38.8
</td>
<td>
- 51.0
+ 26.1
</td>
</tr>
<tr>
@@ -6799,10 +6799,10 @@
27
</th>
<td>
- 62.7
+ 64.8
</td>
<td>
- 73.1
+ 51.0
</td>
</tr>
<tr>
@@ -6810,10 +6810,10 @@
28
</th>
<td>
- 62.3
+ 65.5
</td>
<td>
- 57.2
+ 44.7
</td>
</tr>
<tr>
@@ -6821,10 +6821,10 @@
29
</th>
<td>
- 61.5
+ 62.3
</td>
<td>
- 65.0
+ 57.2
</td>
</tr>
<tr>
@@ -6832,10 +6832,10 @@
30
</th>
<td>
- 61.1
+ 40.1
</td>
<td>
- 62.2
+ 15.3
</td>
</tr>
<tr>
@@ -6843,10 +6843,10 @@
31
</th>
<td>
- 60.5
+ 62.7
</td>
<td>
- 61.4
+ 73.1
</td>
</tr>
<tr>
@@ -6854,10 +6854,10 @@
32
</th>
<td>
- 60.1
+ 54.6
</td>
<td>
- 28.2
+ 59.1
</td>
</tr>
<tr>
@@ -6865,10 +6865,10 @@
33
</th>
<td>
- 57.6
+ 61.1
</td>
<td>
- 54.2
+ 62.2
</td>
</tr>
<tr>
@@ -6876,10 +6876,10 @@
34
</th>
<td>
- 55.9
+ 23.8
</td>
<td>
- 24.0
+ 20.1
</td>
</tr>
<tr>
@@ -6887,10 +6887,10 @@
35
</th>
<td>
- 54.6
+ 55.9
</td>
<td>
- 59.1
+ 24.0
</td>
</tr>
<tr>
@@ -6898,10 +6898,10 @@
36
</th>
<td>
- 51.2
+ 25.2
</td>
<td>
- 35.6
+ 15.7
</td>
</tr>
<tr>
@@ -6909,10 +6909,10 @@
37
</th>
<td>
- 48.5
+ 60.5
</td>
<td>
- 47.0
+ 61.4
</td>
</tr>
<tr>
@@ -6920,10 +6920,10 @@
38
</th>
<td>
- 46.7
+ 61.5
</td>
<td>
- 40.2
+ 65.0
</td>
</tr>
<tr>
@@ -6931,10 +6931,10 @@
39
</th>
<td>
- 42.0
+ 51.2
</td>
<td>
- 31.9
+ 35.6
</td>
</tr>
<tr>
@@ -6942,10 +6942,10 @@
40
</th>
<td>
- 40.7
+ 18.3
</td>
<td>
- 16.8
+ 20.2
</td>
</tr>
<tr>
@@ -6953,10 +6953,10 @@
41
</th>
<td>
- 40.1
+ 39.9
</td>
<td>
- 15.3
+ 16.3
</td>
</tr>
<tr>
@@ -6964,10 +6964,10 @@
42
</th>
<td>
- 39.9
+ 60.1
</td>
<td>
- 16.3
+ 28.2
</td>
</tr>
<tr>
@@ -6975,10 +6975,10 @@
43
</th>
<td>
- 39.7
+ 48.5
</td>
<td>
- 18.4
+ 47.0
</td>
</tr>
<tr>
@@ -6986,10 +6986,10 @@
44
</th>
<td>
- 39.6
+ 25.9
</td>
<td>
- 22.4
+ 22.2
</td>
</tr>
<tr>
@@ -6997,10 +6997,10 @@
45
</th>
<td>
- 38.8
+ 19.2
</td>
<td>
- 26.1
+ 25.9
</td>
</tr>
<tr>
@@ -7008,10 +7008,10 @@
46
</th>
<td>
- 37.6
+ 46.7
</td>
<td>
- 35.6
+ 40.2
</td>
</tr>
<tr>
@@ -7019,10 +7019,10 @@
47
</th>
<td>
- 37.0
+ 39.7
</td>
<td>
- 13.5
+ 18.4
</td>
</tr>
<tr>
@@ -7030,10 +7030,10 @@
48
</th>
<td>
- 36.6
+ 26.6
</td>
<td>
- 26.3
+ 44.2
</td>
</tr>
<tr>
@@ -7041,10 +7041,10 @@
49
</th>
<td>
- 35.2
+ 2.6
</td>
<td>
- 37.5
+ 3.7
</td>
</tr>
<tr>
@@ -7052,10 +7052,10 @@
50
</th>
<td>
- 31.2
+ 40.7
</td>
<td>
- 44.6
+ 16.8
</td>
</tr>
<tr>
@@ -7063,10 +7063,10 @@
51
</th>
<td>
- 29.2
+ 35.2
</td>
<td>
- 23.0
+ 37.5
</td>
</tr>
<tr>
@@ -7074,10 +7074,10 @@
52
</th>
<td>
- 28.5
+ 39.6
</td>
<td>
- 25.6
+ 22.4
</td>
</tr>
<tr>
@@ -7085,10 +7085,10 @@
53
</th>
<td>
- 27.2
+ 37.6
</td>
<td>
- 29.0
+ 35.6
</td>
</tr>
<tr>
@@ -7096,10 +7096,10 @@
54
</th>
<td>
- 26.6
+ 31.2
</td>
<td>
- 44.2
+ 44.6
</td>
</tr>
<tr>
@@ -7107,10 +7107,10 @@
55
</th>
<td>
- 25.9
+ 22.7
</td>
<td>
- 22.2
+ 32.1
</td>
</tr>
<tr>
@@ -7118,10 +7118,10 @@
56
</th>
<td>
- 25.5
+ 29.2
</td>
<td>
- 24.4
+ 23.0
</td>
</tr>
<tr>
@@ -7129,10 +7129,10 @@
57
</th>
<td>
- 25.2
+ 18.3
</td>
<td>
- 15.7
+ 7.2
</td>
</tr>
<tr>
@@ -7140,10 +7140,10 @@
58
</th>
<td>
- 23.8
+ 37.0
</td>
<td>
- 20.1
+ 13.5
</td>
</tr>
<tr>
@@ -7151,10 +7151,10 @@
59
</th>
<td>
- 22.7
+ 42.0
</td>
<td>
- 32.1
+ 31.9
</td>
</tr>
<tr>
@@ -7162,10 +7162,10 @@
60
</th>
<td>
- 20.7
+ 36.6
</td>
<td>
- 13.3
+ 26.3
</td>
</tr>
<tr>
@@ -7173,10 +7173,10 @@
61
</th>
<td>
- 20.5
+ 15.5
</td>
<td>
- 12.5
+ 10.7
</td>
</tr>
<tr>
@@ -7184,10 +7184,10 @@
62
</th>
<td>
- 19.4
+ 27.2
</td>
<td>
- 13.9
+ 29.0
</td>
</tr>
<tr>
@@ -7195,10 +7195,10 @@
63
</th>
<td>
- 19.3
+ 28.5
</td>
<td>
- 9.8
+ 25.6
</td>
</tr>
<tr>
@@ -7206,10 +7206,10 @@
64
</th>
<td>
- 19.2
+ 14.9
</td>
<td>
- 25.9
+ 16.1
</td>
</tr>
<tr>
@@ -7217,10 +7217,10 @@
65
</th>
<td>
- 19.1
+ 18.6
</td>
<td>
- 19.2
+ 5.0
</td>
</tr>
<tr>
@@ -7228,10 +7228,10 @@
66
</th>
<td>
- 18.6
+ 15.6
</td>
<td>
- 5.0
+ 14.3
</td>
</tr>
<tr>
@@ -7239,10 +7239,10 @@
67
</th>
<td>
- 18.3
+ 20.5
</td>
<td>
- 20.2
+ 12.5
</td>
</tr>
<tr>
@@ -7250,10 +7250,10 @@
68
</th>
<td>
- 18.3
+ 16.5
</td>
<td>
- 7.2
+ 7.6
</td>
</tr>
<tr>
@@ -7261,10 +7261,10 @@
69
</th>
<td>
- 17.8
+ 19.1
</td>
<td>
- 8.5
+ 19.2
</td>
</tr>
<tr>
@@ -7272,10 +7272,10 @@
70
</th>
<td>
- 17.7
+ 19.3
</td>
<td>
- 10.6
+ 9.8
</td>
</tr>
<tr>
@@ -7283,10 +7283,10 @@
71
</th>
<td>
- 16.5
+ 17.7
</td>
<td>
- 7.6
+ 10.6
</td>
</tr>
<tr>
@@ -7294,10 +7294,10 @@
72
</th>
<td>
- 15.6
+ 7.9
</td>
<td>
- 14.3
+ 8.2
</td>
</tr>
<tr>
@@ -7305,10 +7305,10 @@
73
</th>
<td>
- 15.5
+ 5.4
</td>
<td>
- 10.7
+ 7.3
</td>
</tr>
<tr>
@@ -7316,10 +7316,10 @@
74
</th>
<td>
- 14.9
+ 14.8
</td>
<td>
- 16.1
+ 8.2
</td>
</tr>
<tr>
@@ -7327,10 +7327,10 @@
75
</th>
<td>
- 14.8
+ 25.5
</td>
<td>
- 8.2
+ 24.4
</td>
</tr>
<tr>
@@ -7338,10 +7338,10 @@
76
</th>
<td>
- 9.6
+ 17.8
</td>
<td>
- 3.8
+ 8.5
</td>
</tr>
<tr>
@@ -7349,10 +7349,10 @@
77
</th>
<td>
- 9.5
+ 8.4
</td>
<td>
- 4.2
+ 6.5
</td>
</tr>
<tr>
@@ -7360,10 +7360,10 @@
78
</th>
<td>
- 8.4
+ 3.1
</td>
<td>
- 6.5
+ 3.7
</td>
</tr>
<tr>
@@ -7371,10 +7371,10 @@
79
</th>
<td>
- 7.9
+ 20.7
</td>
<td>
- 8.2
+ 13.3
</td>
</tr>
<tr>
@@ -7382,10 +7382,10 @@
80
</th>
<td>
- 5.4
+ 9.5
</td>
<td>
- 7.3
+ 4.2
</td>
</tr>
<tr>
@@ -7393,10 +7393,10 @@
81
</th>
<td>
- 3.1
+ 19.4
</td>
<td>
- 3.7
+ 13.9
</td>
</tr>
<tr>
@@ -7404,10 +7404,10 @@
82
</th>
<td>
- 2.6
+ 9.6
</td>
<td>
- 3.7
+ 3.8
</td>
</tr>
</tbody>
@@ -7432,10 +7432,10 @@
0
</th>
<td>
- 100.0
+ 76.0
</td>
<td>
- 96.3
+ 68.9
</td>
</tr>
<tr>
@@ -7443,10 +7443,10 @@
1
</th>
<td>
- 100.0
+ 38.0
</td>
<td>
- 90.0
+ 96.0
</td>
</tr>
<tr>
@@ -7454,10 +7454,10 @@
2
</th>
<td>
- 100.0
+ 24.2
</td>
<td>
- 24.5
+ 89.2
</td>
</tr>
<tr>
@@ -7465,10 +7465,10 @@
3
</th>
<td>
- 99.8
+ 96.8
</td>
<td>
- 91.9
+ 48.2
</td>
</tr>
<tr>
@@ -7476,10 +7476,10 @@
4
</th>
<td>
- 99.8
+ 7.7
</td>
<td>
- 83.6
+ 43.3
</td>
</tr>
<tr>
@@ -7487,10 +7487,10 @@
5
</th>
<td>
- 98.3
+ 17.4
</td>
<td>
- 34.6
+ 2.7
</td>
</tr>
<tr>
@@ -7498,10 +7498,10 @@
6
</th>
<td>
- 96.8
+ 96.5
</td>
<td>
- 48.2
+ 65.4
</td>
</tr>
<tr>
@@ -7509,10 +7509,10 @@
7
</th>
<td>
- 96.5
+ 68.9
</td>
<td>
- 65.4
+ 95.1
</td>
</tr>
<tr>
@@ -7520,10 +7520,10 @@
8
</th>
<td>
- 96.4
+ 22.3
</td>
<td>
- 95.0
+ 3.9
</td>
</tr>
<tr>
@@ -7531,10 +7531,10 @@
9
</th>
<td>
- 91.9
+ 87.3
</td>
<td>
- 27.8
+ 36.9
</td>
</tr>
<tr>
@@ -7542,10 +7542,10 @@
10
</th>
<td>
- 91.7
+ 19.5
</td>
<td>
- 69.7
+ 1.8
</td>
</tr>
<tr>
@@ -7553,10 +7553,10 @@
11
</th>
<td>
- 88.9
+ 69.4
</td>
<td>
- 24.2
+ 4.5
</td>
</tr>
<tr>
@@ -7564,10 +7564,10 @@
12
</th>
<td>
- 87.3
+ 5.1
</td>
<td>
- 36.9
+ 27.4
</td>
</tr>
<tr>
@@ -7575,10 +7575,10 @@
13
</th>
<td>
- 87.0
+ 41.3
</td>
<td>
- 10.3
+ 51.6
</td>
</tr>
<tr>
@@ -7586,10 +7586,10 @@
14
</th>
<td>
- 84.2
+ 100.0
</td>
<td>
- 98.7
+ 24.5
</td>
</tr>
<tr>
@@ -7597,10 +7597,10 @@
15
</th>
<td>
- 83.8
+ 40.8
</td>
<td>
- 27.5
+ 4.3
</td>
</tr>
<tr>
@@ -7608,10 +7608,10 @@
16
</th>
<td>
- 79.8
+ 88.9
</td>
<td>
- 73.5
+ 24.2
</td>
</tr>
<tr>
@@ -7619,10 +7619,10 @@
17
</th>
<td>
- 79.8
+ 66.5
</td>
<td>
- 9.1
+ 5.8
</td>
</tr>
<tr>
@@ -7630,10 +7630,10 @@
18
</th>
<td>
- 78.9
+ 99.8
</td>
<td>
- 3.6
+ 83.6
</td>
</tr>
<tr>
@@ -7641,10 +7641,10 @@
19
</th>
<td>
- 78.8
+ 96.4
</td>
<td>
- 7.1
+ 95.0
</td>
</tr>
<tr>
@@ -7652,10 +7652,10 @@
20
</th>
<td>
- 77.0
+ 5.3
</td>
<td>
- 5.7
+ 7.5
</td>
</tr>
<tr>
@@ -7663,10 +7663,10 @@
21
</th>
<td>
- 76.0
+ 84.2
</td>
<td>
- 68.9
+ 98.7
</td>
</tr>
<tr>
@@ -7674,10 +7674,10 @@
22
</th>
<td>
- 74.2
+ 56.3
</td>
<td>
- 98.0
+ 1.9
</td>
</tr>
<tr>
@@ -7685,10 +7685,10 @@
23
</th>
<td>
- 70.0
+ 62.3
</td>
<td>
- 70.2
+ 2.0
</td>
</tr>
<tr>
@@ -7696,10 +7696,10 @@
24
</th>
<td>
- 69.4
+ 7.7
</td>
<td>
- 4.5
+ 1.3
</td>
</tr>
<tr>
@@ -7707,10 +7707,10 @@
25
</th>
<td>
- 68.9
+ 25.7
</td>
<td>
- 95.1
+ 93.3
</td>
</tr>
<tr>
@@ -7718,10 +7718,10 @@
26
</th>
<td>
- 67.8
+ 78.8
</td>
<td>
- 53.0
+ 7.1
</td>
</tr>
<tr>
@@ -7729,10 +7729,10 @@
27
</th>
<td>
- 67.3
+ 5.4
</td>
<td>
- 3.7
+ 54.3
</td>
</tr>
<tr>
@@ -7740,10 +7740,10 @@
28
</th>
<td>
- 66.5
+ 91.9
</td>
<td>
- 5.8
+ 27.8
</td>
</tr>
<tr>
@@ -7751,10 +7751,10 @@
29
</th>
<td>
- 66.3
+ 98.3
</td>
<td>
- 54.3
+ 34.6
</td>
</tr>
<tr>
@@ -7762,10 +7762,10 @@
30
</th>
<td>
- 62.3
+ 62.1
</td>
<td>
- 2.0
+ 61.8
</td>
</tr>
<tr>
@@ -7773,10 +7773,10 @@
31
</th>
<td>
- 62.1
+ 79.8
</td>
<td>
- 61.8
+ 9.1
</td>
</tr>
<tr>
@@ -7784,10 +7784,10 @@
32
</th>
<td>
- 61.1
+ 16.4
</td>
<td>
- 94.8
+ 98.2
</td>
</tr>
<tr>
@@ -7795,10 +7795,10 @@
33
</th>
<td>
- 56.3
+ 67.8
</td>
<td>
- 1.9
+ 53.0
</td>
</tr>
<tr>
@@ -7806,10 +7806,10 @@
34
</th>
<td>
- 46.8
+ 43.2
</td>
<td>
- 1.3
+ 2.6
</td>
</tr>
<tr>
@@ -7817,10 +7817,10 @@
35
</th>
<td>
- 43.2
+ 26.7
</td>
<td>
- 2.6
+ 80.7
</td>
</tr>
<tr>
@@ -7828,10 +7828,10 @@
36
</th>
<td>
- 41.3
+ 22.4
</td>
<td>
- 51.6
+ 92.4
</td>
</tr>
<tr>
@@ -7839,10 +7839,10 @@
37
</th>
<td>
- 40.8
+ 83.8
</td>
<td>
- 4.3
+ 27.5
</td>
</tr>
<tr>
@@ -7850,10 +7850,10 @@
38
</th>
<td>
- 38.4
+ 67.3
</td>
<td>
- 9.3
+ 3.7
</td>
</tr>
<tr>
@@ -7861,10 +7861,10 @@
39
</th>
<td>
- 38.0
+ 77.0
</td>
<td>
- 96.0
+ 5.7
</td>
</tr>
<tr>
@@ -7872,10 +7872,10 @@
40
</th>
<td>
- 34.6
+ 27.7
</td>
<td>
- 2.8
+ 1.5
</td>
</tr>
<tr>
@@ -7883,10 +7883,10 @@
41
</th>
<td>
- 33.4
+ 46.8
</td>
<td>
- 32.6
+ 1.3
</td>
</tr>
<tr>
@@ -7894,10 +7894,10 @@
42
</th>
<td>
- 31.2
+ 38.4
</td>
<td>
- 10.6
+ 9.3
</td>
</tr>
<tr>
@@ -7905,10 +7905,10 @@
43
</th>
<td>
- 27.7
+ 12.8
</td>
<td>
- 1.5
+ 21.3
</td>
</tr>
<tr>
@@ -7916,10 +7916,10 @@
44
</th>
<td>
- 26.7
+ 61.1
</td>
<td>
- 80.7
+ 94.8
</td>
</tr>
<tr>
@@ -7927,10 +7927,10 @@
45
</th>
<td>
- 25.7
+ 99.8
</td>
<td>
- 93.3
+ 91.9
</td>
</tr>
<tr>
@@ -7938,10 +7938,10 @@
46
</th>
<td>
- 24.2
+ 66.3
</td>
<td>
- 89.2
+ 54.3
</td>
</tr>
<tr>
@@ -7949,10 +7949,10 @@
47
</th>
<td>
- 22.4
+ 79.8
</td>
<td>
- 92.4
+ 73.5
</td>
</tr>
<tr>
@@ -7960,10 +7960,10 @@
48
</th>
<td>
- 22.3
+ 15.7
</td>
<td>
- 3.9
+ 30.1
</td>
</tr>
<tr>
@@ -7971,10 +7971,10 @@
49
</th>
<td>
- 19.5
+ 87.0
</td>
<td>
- 1.8
+ 10.3
</td>
</tr>
<tr>
@@ -7982,10 +7982,10 @@
50
</th>
<td>
- 17.4
+ 11.8
</td>
<td>
- 2.7
+ 20.2
</td>
</tr>
<tr>
@@ -7993,10 +7993,10 @@
51
</th>
<td>
- 16.4
+ 70.0
</td>
<td>
- 98.2
+ 70.2
</td>
</tr>
<tr>
@@ -8004,10 +8004,10 @@
52
</th>
<td>
- 15.7
+ 74.2
</td>
<td>
- 30.1
+ 98.0
</td>
</tr>
<tr>
@@ -8015,10 +8015,10 @@
53
</th>
<td>
- 12.8
+ 33.4
</td>
<td>
- 21.3
+ 32.6
</td>
</tr>
<tr>
@@ -8026,10 +8026,10 @@
54
</th>
<td>
- 11.8
+ 34.6
</td>
<td>
- 20.2
+ 2.8
</td>
</tr>
<tr>
@@ -8037,10 +8037,10 @@
55
</th>
<td>
- 7.7
+ 31.2
</td>
<td>
- 43.3
+ 10.6
</td>
</tr>
<tr>
@@ -8048,10 +8048,10 @@
56
</th>
<td>
- 7.7
+ 91.7
</td>
<td>
- 1.3
+ 69.7
</td>
</tr>
<tr>
@@ -8059,10 +8059,10 @@
57
</th>
<td>
- 5.4
+ 100.0
</td>
<td>
- 54.3
+ 96.3
</td>
</tr>
<tr>
@@ -8070,10 +8070,10 @@
58
</th>
<td>
- 5.3
+ 100.0
</td>
<td>
- 7.5
+ 90.0
</td>
</tr>
<tr>
@@ -8081,10 +8081,10 @@
59
</th>
<td>
- 5.1
+ 78.9
</td>
<td>
- 27.4
+ 3.6
</td>
</tr>
</tbody>
diff --git a/p13/p13.ipynb b/p13/p13.ipynb
index 9fd98f72215bf8c232cf76aa6d3332cf06742aed..9dc3940012b3cf28827e7f1a34b053a3f1e7faf1 100644
--- a/p13/p13.ipynb
+++ b/p13/p13.ipynb
@@ -3,7 +3,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "e70dde1b",
+ "id": "bea3685b",
"metadata": {
"cell_type": "code",
"deletable": true,
@@ -24,10 +24,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:05.482739Z",
- "iopub.status.busy": "2023-12-07T02:12:05.482739Z",
- "iopub.status.idle": "2023-12-07T02:12:08.436831Z",
- "shell.execute_reply": "2023-12-07T02:12:08.435815Z"
+ "iopub.execute_input": "2023-12-07T22:45:47.624759Z",
+ "iopub.status.busy": "2023-12-07T22:45:47.623746Z",
+ "iopub.status.idle": "2023-12-07T22:45:50.575061Z",
+ "shell.execute_reply": "2023-12-07T22:45:50.574066Z"
}
},
"outputs": [],
@@ -43,10 +43,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:08.442825Z",
- "iopub.status.busy": "2023-12-07T02:12:08.441825Z",
- "iopub.status.idle": "2023-12-07T02:12:08.447761Z",
- "shell.execute_reply": "2023-12-07T02:12:08.446745Z"
+ "iopub.execute_input": "2023-12-07T22:45:50.580075Z",
+ "iopub.status.busy": "2023-12-07T22:45:50.579074Z",
+ "iopub.status.idle": "2023-12-07T22:45:50.584616Z",
+ "shell.execute_reply": "2023-12-07T22:45:50.583543Z"
}
},
"outputs": [],
@@ -205,10 +205,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:08.453795Z",
- "iopub.status.busy": "2023-12-07T02:12:08.452779Z",
- "iopub.status.idle": "2023-12-07T02:12:08.681701Z",
- "shell.execute_reply": "2023-12-07T02:12:08.680670Z"
+ "iopub.execute_input": "2023-12-07T22:45:50.589644Z",
+ "iopub.status.busy": "2023-12-07T22:45:50.589644Z",
+ "iopub.status.idle": "2023-12-07T22:45:50.818620Z",
+ "shell.execute_reply": "2023-12-07T22:45:50.817621Z"
},
"tags": []
},
@@ -226,10 +226,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:08.685887Z",
- "iopub.status.busy": "2023-12-07T02:12:08.685887Z",
- "iopub.status.idle": "2023-12-07T02:12:09.180224Z",
- "shell.execute_reply": "2023-12-07T02:12:09.179217Z"
+ "iopub.execute_input": "2023-12-07T22:45:50.822633Z",
+ "iopub.status.busy": "2023-12-07T22:45:50.822633Z",
+ "iopub.status.idle": "2023-12-07T22:45:51.305226Z",
+ "shell.execute_reply": "2023-12-07T22:45:51.304224Z"
}
},
"outputs": [],
@@ -259,10 +259,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:09.184225Z",
- "iopub.status.busy": "2023-12-07T02:12:09.184225Z",
- "iopub.status.idle": "2023-12-07T02:12:09.190374Z",
- "shell.execute_reply": "2023-12-07T02:12:09.189367Z"
+ "iopub.execute_input": "2023-12-07T22:45:51.309242Z",
+ "iopub.status.busy": "2023-12-07T22:45:51.309242Z",
+ "iopub.status.idle": "2023-12-07T22:45:51.315684Z",
+ "shell.execute_reply": "2023-12-07T22:45:51.314684Z"
},
"tags": []
},
@@ -274,7 +274,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "74ff0bcc",
+ "id": "5bbb3cd1",
"metadata": {
"deletable": true,
"editable": true
@@ -292,10 +292,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:09.627750Z",
- "iopub.status.busy": "2023-12-07T02:12:09.627750Z",
- "iopub.status.idle": "2023-12-07T02:12:09.634048Z",
- "shell.execute_reply": "2023-12-07T02:12:09.633037Z"
+ "iopub.execute_input": "2023-12-07T22:45:51.741385Z",
+ "iopub.status.busy": "2023-12-07T22:45:51.740385Z",
+ "iopub.status.idle": "2023-12-07T22:45:51.747448Z",
+ "shell.execute_reply": "2023-12-07T22:45:51.746501Z"
},
"tags": []
},
@@ -307,7 +307,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "224644c7",
+ "id": "28ad8463",
"metadata": {
"deletable": true,
"editable": true
@@ -325,10 +325,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:09.995374Z",
- "iopub.status.busy": "2023-12-07T02:12:09.995374Z",
- "iopub.status.idle": "2023-12-07T02:12:10.001170Z",
- "shell.execute_reply": "2023-12-07T02:12:10.000158Z"
+ "iopub.execute_input": "2023-12-07T22:45:52.096127Z",
+ "iopub.status.busy": "2023-12-07T22:45:52.096127Z",
+ "iopub.status.idle": "2023-12-07T22:45:52.101891Z",
+ "shell.execute_reply": "2023-12-07T22:45:52.100928Z"
},
"tags": []
},
@@ -340,7 +340,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "0b371d02",
+ "id": "2b47b88e",
"metadata": {
"deletable": true,
"editable": true
@@ -358,10 +358,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:10.185685Z",
- "iopub.status.busy": "2023-12-07T02:12:10.185685Z",
- "iopub.status.idle": "2023-12-07T02:12:10.191616Z",
- "shell.execute_reply": "2023-12-07T02:12:10.190604Z"
+ "iopub.execute_input": "2023-12-07T22:45:52.271904Z",
+ "iopub.status.busy": "2023-12-07T22:45:52.271904Z",
+ "iopub.status.idle": "2023-12-07T22:45:52.277886Z",
+ "shell.execute_reply": "2023-12-07T22:45:52.276952Z"
},
"tags": []
},
@@ -373,7 +373,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "9e19d8ab",
+ "id": "62a523f5",
"metadata": {
"deletable": true,
"editable": true
@@ -391,10 +391,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:10.473791Z",
- "iopub.status.busy": "2023-12-07T02:12:10.473791Z",
- "iopub.status.idle": "2023-12-07T02:12:10.480068Z",
- "shell.execute_reply": "2023-12-07T02:12:10.479055Z"
+ "iopub.execute_input": "2023-12-07T22:45:52.559512Z",
+ "iopub.status.busy": "2023-12-07T22:45:52.559512Z",
+ "iopub.status.idle": "2023-12-07T22:45:52.566095Z",
+ "shell.execute_reply": "2023-12-07T22:45:52.565086Z"
},
"tags": []
},
@@ -406,7 +406,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "061b2f5a",
+ "id": "3df56792",
"metadata": {
"deletable": true,
"editable": true
@@ -424,10 +424,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:10.657059Z",
- "iopub.status.busy": "2023-12-07T02:12:10.657059Z",
- "iopub.status.idle": "2023-12-07T02:12:10.663001Z",
- "shell.execute_reply": "2023-12-07T02:12:10.661989Z"
+ "iopub.execute_input": "2023-12-07T22:45:52.736533Z",
+ "iopub.status.busy": "2023-12-07T22:45:52.736533Z",
+ "iopub.status.idle": "2023-12-07T22:45:52.742795Z",
+ "shell.execute_reply": "2023-12-07T22:45:52.741794Z"
},
"tags": []
},
@@ -439,7 +439,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "f49fe4da",
+ "id": "183ccf02",
"metadata": {
"deletable": true,
"editable": true
@@ -457,10 +457,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:10.842863Z",
- "iopub.status.busy": "2023-12-07T02:12:10.842863Z",
- "iopub.status.idle": "2023-12-07T02:12:10.849808Z",
- "shell.execute_reply": "2023-12-07T02:12:10.849032Z"
+ "iopub.execute_input": "2023-12-07T22:45:52.915303Z",
+ "iopub.status.busy": "2023-12-07T22:45:52.915303Z",
+ "iopub.status.idle": "2023-12-07T22:45:52.921349Z",
+ "shell.execute_reply": "2023-12-07T22:45:52.920346Z"
},
"tags": []
},
@@ -472,7 +472,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "ce515c5f",
+ "id": "85fd340a",
"metadata": {
"deletable": true,
"editable": true
@@ -490,10 +490,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:11.222892Z",
- "iopub.status.busy": "2023-12-07T02:12:11.222892Z",
- "iopub.status.idle": "2023-12-07T02:12:11.230280Z",
- "shell.execute_reply": "2023-12-07T02:12:11.229265Z"
+ "iopub.execute_input": "2023-12-07T22:45:53.266057Z",
+ "iopub.status.busy": "2023-12-07T22:45:53.266057Z",
+ "iopub.status.idle": "2023-12-07T22:45:53.273435Z",
+ "shell.execute_reply": "2023-12-07T22:45:53.272438Z"
},
"tags": []
},
@@ -510,10 +510,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:11.234275Z",
- "iopub.status.busy": "2023-12-07T02:12:11.234275Z",
- "iopub.status.idle": "2023-12-07T02:12:11.242461Z",
- "shell.execute_reply": "2023-12-07T02:12:11.241432Z"
+ "iopub.execute_input": "2023-12-07T22:45:53.277450Z",
+ "iopub.status.busy": "2023-12-07T22:45:53.277450Z",
+ "iopub.status.idle": "2023-12-07T22:45:53.285300Z",
+ "shell.execute_reply": "2023-12-07T22:45:53.284340Z"
},
"tags": []
},
@@ -545,10 +545,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:11.246461Z",
- "iopub.status.busy": "2023-12-07T02:12:11.246461Z",
- "iopub.status.idle": "2023-12-07T02:12:12.888374Z",
- "shell.execute_reply": "2023-12-07T02:12:12.887365Z"
+ "iopub.execute_input": "2023-12-07T22:45:53.289294Z",
+ "iopub.status.busy": "2023-12-07T22:45:53.289294Z",
+ "iopub.status.idle": "2023-12-07T22:45:54.092710Z",
+ "shell.execute_reply": "2023-12-07T22:45:54.091692Z"
},
"lines_to_next_cell": 0,
"tags": []
@@ -570,10 +570,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:12.895377Z",
- "iopub.status.busy": "2023-12-07T02:12:12.895377Z",
- "iopub.status.idle": "2023-12-07T02:12:12.924448Z",
- "shell.execute_reply": "2023-12-07T02:12:12.923441Z"
+ "iopub.execute_input": "2023-12-07T22:45:54.096710Z",
+ "iopub.status.busy": "2023-12-07T22:45:54.095697Z",
+ "iopub.status.idle": "2023-12-07T22:45:54.122766Z",
+ "shell.execute_reply": "2023-12-07T22:45:54.121749Z"
},
"tags": []
},
@@ -587,7 +587,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "63fc47c8",
+ "id": "b1471f25",
"metadata": {
"deletable": true,
"editable": true
@@ -626,10 +626,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:13.315441Z",
- "iopub.status.busy": "2023-12-07T02:12:13.315441Z",
- "iopub.status.idle": "2023-12-07T02:12:13.337845Z",
- "shell.execute_reply": "2023-12-07T02:12:13.336837Z"
+ "iopub.execute_input": "2023-12-07T22:45:54.464390Z",
+ "iopub.status.busy": "2023-12-07T22:45:54.464390Z",
+ "iopub.status.idle": "2023-12-07T22:45:54.492825Z",
+ "shell.execute_reply": "2023-12-07T22:45:54.491828Z"
},
"tags": []
},
@@ -641,7 +641,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "46dbda26",
+ "id": "cb02b488",
"metadata": {
"deletable": true,
"editable": true
@@ -687,10 +687,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:13.741827Z",
- "iopub.status.busy": "2023-12-07T02:12:13.741827Z",
- "iopub.status.idle": "2023-12-07T02:12:13.755704Z",
- "shell.execute_reply": "2023-12-07T02:12:13.754466Z"
+ "iopub.execute_input": "2023-12-07T22:45:54.876448Z",
+ "iopub.status.busy": "2023-12-07T22:45:54.876448Z",
+ "iopub.status.idle": "2023-12-07T22:45:54.889579Z",
+ "shell.execute_reply": "2023-12-07T22:45:54.888583Z"
},
"tags": []
},
@@ -702,7 +702,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "84836624",
+ "id": "6f48b014",
"metadata": {
"deletable": true,
"editable": true
@@ -754,10 +754,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:14.136464Z",
- "iopub.status.busy": "2023-12-07T02:12:14.136464Z",
- "iopub.status.idle": "2023-12-07T02:12:14.149809Z",
- "shell.execute_reply": "2023-12-07T02:12:14.148803Z"
+ "iopub.execute_input": "2023-12-07T22:45:55.256073Z",
+ "iopub.status.busy": "2023-12-07T22:45:55.256073Z",
+ "iopub.status.idle": "2023-12-07T22:45:55.268823Z",
+ "shell.execute_reply": "2023-12-07T22:45:55.267824Z"
},
"tags": []
},
@@ -769,7 +769,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "58e68fd6",
+ "id": "a069696f",
"metadata": {
"deletable": true,
"editable": true
@@ -817,10 +817,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:14.529483Z",
- "iopub.status.busy": "2023-12-07T02:12:14.529483Z",
- "iopub.status.idle": "2023-12-07T02:12:14.541942Z",
- "shell.execute_reply": "2023-12-07T02:12:14.540928Z"
+ "iopub.execute_input": "2023-12-07T22:45:55.645649Z",
+ "iopub.status.busy": "2023-12-07T22:45:55.644648Z",
+ "iopub.status.idle": "2023-12-07T22:45:55.663504Z",
+ "shell.execute_reply": "2023-12-07T22:45:55.662508Z"
},
"tags": []
},
@@ -832,7 +832,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "65f88652",
+ "id": "3301bfc9",
"metadata": {
"deletable": true,
"editable": true
@@ -888,10 +888,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:14.921037Z",
- "iopub.status.busy": "2023-12-07T02:12:14.921037Z",
- "iopub.status.idle": "2023-12-07T02:12:14.936662Z",
- "shell.execute_reply": "2023-12-07T02:12:14.935645Z"
+ "iopub.execute_input": "2023-12-07T22:45:56.020281Z",
+ "iopub.status.busy": "2023-12-07T22:45:56.020281Z",
+ "iopub.status.idle": "2023-12-07T22:45:56.035678Z",
+ "shell.execute_reply": "2023-12-07T22:45:56.034680Z"
},
"tags": []
},
@@ -910,7 +910,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "1bde06bf",
+ "id": "deeab4fa",
"metadata": {
"deletable": true,
"editable": true
@@ -944,7 +944,7 @@
}
},
"cell_type": "markdown",
- "id": "26bd5e92",
+ "id": "eb6d1381",
"metadata": {
"deletable": true,
"editable": true
@@ -963,10 +963,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:15.661702Z",
- "iopub.status.busy": "2023-12-07T02:12:15.660717Z",
- "iopub.status.idle": "2023-12-07T02:12:16.017877Z",
- "shell.execute_reply": "2023-12-07T02:12:16.016842Z"
+ "iopub.execute_input": "2023-12-07T22:45:56.721466Z",
+ "iopub.status.busy": "2023-12-07T22:45:56.721466Z",
+ "iopub.status.idle": "2023-12-07T22:45:57.076447Z",
+ "shell.execute_reply": "2023-12-07T22:45:57.076447Z"
},
"tags": []
},
@@ -1014,10 +1014,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:16.021871Z",
- "iopub.status.busy": "2023-12-07T02:12:16.021871Z",
- "iopub.status.idle": "2023-12-07T02:12:16.033924Z",
- "shell.execute_reply": "2023-12-07T02:12:16.033924Z"
+ "iopub.execute_input": "2023-12-07T22:45:57.081466Z",
+ "iopub.status.busy": "2023-12-07T22:45:57.080447Z",
+ "iopub.status.idle": "2023-12-07T22:45:57.094462Z",
+ "shell.execute_reply": "2023-12-07T22:45:57.093444Z"
},
"tags": []
},
@@ -1030,7 +1030,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "7bb12427",
+ "id": "95e1d730",
"metadata": {
"deletable": true,
"editable": true
@@ -1064,7 +1064,7 @@
}
},
"cell_type": "markdown",
- "id": "b7d2709a",
+ "id": "d1887358",
"metadata": {
"deletable": true,
"editable": true
@@ -1083,10 +1083,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:16.851991Z",
- "iopub.status.busy": "2023-12-07T02:12:16.851991Z",
- "iopub.status.idle": "2023-12-07T02:12:17.107894Z",
- "shell.execute_reply": "2023-12-07T02:12:17.107894Z"
+ "iopub.execute_input": "2023-12-07T22:45:57.895698Z",
+ "iopub.status.busy": "2023-12-07T22:45:57.894676Z",
+ "iopub.status.idle": "2023-12-07T22:45:58.161210Z",
+ "shell.execute_reply": "2023-12-07T22:45:58.160216Z"
},
"tags": []
},
@@ -1132,10 +1132,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:17.112905Z",
- "iopub.status.busy": "2023-12-07T02:12:17.112905Z",
- "iopub.status.idle": "2023-12-07T02:12:17.126900Z",
- "shell.execute_reply": "2023-12-07T02:12:17.125869Z"
+ "iopub.execute_input": "2023-12-07T22:45:58.165229Z",
+ "iopub.status.busy": "2023-12-07T22:45:58.165229Z",
+ "iopub.status.idle": "2023-12-07T22:45:58.178228Z",
+ "shell.execute_reply": "2023-12-07T22:45:58.177210Z"
},
"tags": []
},
@@ -1147,7 +1147,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "f030725a",
+ "id": "5dccfafd",
"metadata": {
"deletable": true,
"editable": true
@@ -1178,10 +1178,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:17.502426Z",
- "iopub.status.busy": "2023-12-07T02:12:17.502426Z",
- "iopub.status.idle": "2023-12-07T02:12:17.515978Z",
- "shell.execute_reply": "2023-12-07T02:12:17.514948Z"
+ "iopub.execute_input": "2023-12-07T22:45:58.545559Z",
+ "iopub.status.busy": "2023-12-07T22:45:58.545559Z",
+ "iopub.status.idle": "2023-12-07T22:45:58.558784Z",
+ "shell.execute_reply": "2023-12-07T22:45:58.557781Z"
},
"tags": []
},
@@ -1194,7 +1194,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "980bd4b4",
+ "id": "3dfe0d28",
"metadata": {
"deletable": true,
"editable": true
@@ -1228,7 +1228,7 @@
}
},
"cell_type": "markdown",
- "id": "fb22fc1a",
+ "id": "53157fbf",
"metadata": {
"deletable": true,
"editable": true
@@ -1247,10 +1247,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:18.436675Z",
- "iopub.status.busy": "2023-12-07T02:12:18.436675Z",
- "iopub.status.idle": "2023-12-07T02:12:18.688586Z",
- "shell.execute_reply": "2023-12-07T02:12:18.687578Z"
+ "iopub.execute_input": "2023-12-07T22:45:59.812080Z",
+ "iopub.status.busy": "2023-12-07T22:45:59.812080Z",
+ "iopub.status.idle": "2023-12-07T22:46:00.114571Z",
+ "shell.execute_reply": "2023-12-07T22:46:00.113653Z"
},
"tags": []
},
@@ -1281,10 +1281,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:18.693588Z",
- "iopub.status.busy": "2023-12-07T02:12:18.692587Z",
- "iopub.status.idle": "2023-12-07T02:12:18.705860Z",
- "shell.execute_reply": "2023-12-07T02:12:18.704850Z"
+ "iopub.execute_input": "2023-12-07T22:46:00.119569Z",
+ "iopub.status.busy": "2023-12-07T22:46:00.118568Z",
+ "iopub.status.idle": "2023-12-07T22:46:00.132652Z",
+ "shell.execute_reply": "2023-12-07T22:46:00.131654Z"
},
"tags": []
},
@@ -1297,7 +1297,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "cf7160f9",
+ "id": "e4c54ebf",
"metadata": {
"deletable": true,
"editable": true
@@ -1331,7 +1331,7 @@
}
},
"cell_type": "markdown",
- "id": "b8c6cfca",
+ "id": "f6e45764",
"metadata": {
"deletable": true,
"editable": true
@@ -1350,10 +1350,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:19.474346Z",
- "iopub.status.busy": "2023-12-07T02:12:19.474346Z",
- "iopub.status.idle": "2023-12-07T02:12:19.707182Z",
- "shell.execute_reply": "2023-12-07T02:12:19.706170Z"
+ "iopub.execute_input": "2023-12-07T22:46:01.321400Z",
+ "iopub.status.busy": "2023-12-07T22:46:01.321400Z",
+ "iopub.status.idle": "2023-12-07T22:46:01.563728Z",
+ "shell.execute_reply": "2023-12-07T22:46:01.562730Z"
},
"tags": []
},
@@ -1390,10 +1390,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:19.711180Z",
- "iopub.status.busy": "2023-12-07T02:12:19.711180Z",
- "iopub.status.idle": "2023-12-07T02:12:19.726324Z",
- "shell.execute_reply": "2023-12-07T02:12:19.725251Z"
+ "iopub.execute_input": "2023-12-07T22:46:01.567779Z",
+ "iopub.status.busy": "2023-12-07T22:46:01.567779Z",
+ "iopub.status.idle": "2023-12-07T22:46:01.583049Z",
+ "shell.execute_reply": "2023-12-07T22:46:01.582048Z"
},
"tags": []
},
@@ -1406,7 +1406,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "7f7ce28e",
+ "id": "1368139d",
"metadata": {
"deletable": true,
"editable": true
@@ -1440,7 +1440,7 @@
}
},
"cell_type": "markdown",
- "id": "606932c6",
+ "id": "9313da7f",
"metadata": {
"deletable": true,
"editable": true
@@ -1459,10 +1459,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:20.584364Z",
- "iopub.status.busy": "2023-12-07T02:12:20.584364Z",
- "iopub.status.idle": "2023-12-07T02:12:20.807685Z",
- "shell.execute_reply": "2023-12-07T02:12:20.806673Z"
+ "iopub.execute_input": "2023-12-07T22:46:02.556298Z",
+ "iopub.status.busy": "2023-12-07T22:46:02.555296Z",
+ "iopub.status.idle": "2023-12-07T22:46:02.840619Z",
+ "shell.execute_reply": "2023-12-07T22:46:02.839626Z"
},
"tags": []
},
@@ -1515,10 +1515,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:20.811704Z",
- "iopub.status.busy": "2023-12-07T02:12:20.811704Z",
- "iopub.status.idle": "2023-12-07T02:12:20.820951Z",
- "shell.execute_reply": "2023-12-07T02:12:20.819920Z"
+ "iopub.execute_input": "2023-12-07T22:46:02.846616Z",
+ "iopub.status.busy": "2023-12-07T22:46:02.845618Z",
+ "iopub.status.idle": "2023-12-07T22:46:02.856153Z",
+ "shell.execute_reply": "2023-12-07T22:46:02.855152Z"
},
"tags": []
},
@@ -1530,7 +1530,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "59fbafa2",
+ "id": "46671c17",
"metadata": {
"deletable": true,
"editable": true
@@ -1574,10 +1574,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:21.184195Z",
- "iopub.status.busy": "2023-12-07T02:12:21.184195Z",
- "iopub.status.idle": "2023-12-07T02:12:21.193654Z",
- "shell.execute_reply": "2023-12-07T02:12:21.193654Z"
+ "iopub.execute_input": "2023-12-07T22:46:03.245942Z",
+ "iopub.status.busy": "2023-12-07T22:46:03.244945Z",
+ "iopub.status.idle": "2023-12-07T22:46:03.256593Z",
+ "shell.execute_reply": "2023-12-07T22:46:03.255596Z"
},
"tags": []
},
@@ -1589,7 +1589,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "b68f7252",
+ "id": "61956ee1",
"metadata": {
"deletable": true,
"editable": true
@@ -1640,10 +1640,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:21.554330Z",
- "iopub.status.busy": "2023-12-07T02:12:21.554330Z",
- "iopub.status.idle": "2023-12-07T02:12:21.568216Z",
- "shell.execute_reply": "2023-12-07T02:12:21.567185Z"
+ "iopub.execute_input": "2023-12-07T22:46:03.628701Z",
+ "iopub.status.busy": "2023-12-07T22:46:03.628701Z",
+ "iopub.status.idle": "2023-12-07T22:46:03.645147Z",
+ "shell.execute_reply": "2023-12-07T22:46:03.644150Z"
},
"tags": []
},
@@ -1655,7 +1655,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "9a5da3ad",
+ "id": "cf18ee3c",
"metadata": {
"deletable": true,
"editable": true
@@ -1708,10 +1708,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:21.940142Z",
- "iopub.status.busy": "2023-12-07T02:12:21.940142Z",
- "iopub.status.idle": "2023-12-07T02:12:21.955374Z",
- "shell.execute_reply": "2023-12-07T02:12:21.954347Z"
+ "iopub.execute_input": "2023-12-07T22:46:04.023306Z",
+ "iopub.status.busy": "2023-12-07T22:46:04.023306Z",
+ "iopub.status.idle": "2023-12-07T22:46:04.040141Z",
+ "shell.execute_reply": "2023-12-07T22:46:04.039144Z"
},
"tags": []
},
@@ -1723,7 +1723,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "db4f03e4",
+ "id": "df0d6942",
"metadata": {
"deletable": true,
"editable": true
@@ -1775,10 +1775,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:22.367420Z",
- "iopub.status.busy": "2023-12-07T02:12:22.367420Z",
- "iopub.status.idle": "2023-12-07T02:12:22.386841Z",
- "shell.execute_reply": "2023-12-07T02:12:22.385810Z"
+ "iopub.execute_input": "2023-12-07T22:46:04.413022Z",
+ "iopub.status.busy": "2023-12-07T22:46:04.413022Z",
+ "iopub.status.idle": "2023-12-07T22:46:04.434394Z",
+ "shell.execute_reply": "2023-12-07T22:46:04.433400Z"
},
"tags": []
},
@@ -1790,7 +1790,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "b87683f3",
+ "id": "99582ada",
"metadata": {
"deletable": true,
"editable": true
@@ -1823,10 +1823,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:22.777526Z",
- "iopub.status.busy": "2023-12-07T02:12:22.777526Z",
- "iopub.status.idle": "2023-12-07T02:12:22.791573Z",
- "shell.execute_reply": "2023-12-07T02:12:22.790544Z"
+ "iopub.execute_input": "2023-12-07T22:46:04.834987Z",
+ "iopub.status.busy": "2023-12-07T22:46:04.834987Z",
+ "iopub.status.idle": "2023-12-07T22:46:04.849434Z",
+ "shell.execute_reply": "2023-12-07T22:46:04.848436Z"
},
"tags": []
},
@@ -1839,7 +1839,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "8941e634",
+ "id": "624def67",
"metadata": {
"deletable": true,
"editable": true
@@ -1871,11 +1871,11 @@
{
"attachments": {
"q16.jpg": {
- "image/jpeg": "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"
+ "image/jpeg": "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"
}
},
"cell_type": "markdown",
- "id": "d5a5b39a",
+ "id": "18681c3b",
"metadata": {
"deletable": true,
"editable": true
@@ -1894,10 +1894,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:23.514947Z",
- "iopub.status.busy": "2023-12-07T02:12:23.514947Z",
- "iopub.status.idle": "2023-12-07T02:12:23.884101Z",
- "shell.execute_reply": "2023-12-07T02:12:23.883092Z"
+ "iopub.execute_input": "2023-12-07T22:46:05.575537Z",
+ "iopub.status.busy": "2023-12-07T22:46:05.575537Z",
+ "iopub.status.idle": "2023-12-07T22:46:05.964441Z",
+ "shell.execute_reply": "2023-12-07T22:46:05.963443Z"
},
"tags": []
},
@@ -1927,10 +1927,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:23.888316Z",
- "iopub.status.busy": "2023-12-07T02:12:23.888316Z",
- "iopub.status.idle": "2023-12-07T02:12:23.905705Z",
- "shell.execute_reply": "2023-12-07T02:12:23.904678Z"
+ "iopub.execute_input": "2023-12-07T22:46:05.970447Z",
+ "iopub.status.busy": "2023-12-07T22:46:05.969442Z",
+ "iopub.status.idle": "2023-12-07T22:46:05.988969Z",
+ "shell.execute_reply": "2023-12-07T22:46:05.987969Z"
},
"tags": []
},
@@ -1943,7 +1943,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "9bcd5432",
+ "id": "1d64ee51",
"metadata": {
"deletable": true,
"editable": true
@@ -1977,7 +1977,7 @@
}
},
"cell_type": "markdown",
- "id": "ad4a3871",
+ "id": "4b495562",
"metadata": {
"deletable": true,
"editable": true
@@ -1996,10 +1996,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:24.979630Z",
- "iopub.status.busy": "2023-12-07T02:12:24.979630Z",
- "iopub.status.idle": "2023-12-07T02:12:25.271818Z",
- "shell.execute_reply": "2023-12-07T02:12:25.270807Z"
+ "iopub.execute_input": "2023-12-07T22:46:07.472964Z",
+ "iopub.status.busy": "2023-12-07T22:46:07.472964Z",
+ "iopub.status.idle": "2023-12-07T22:46:07.772851Z",
+ "shell.execute_reply": "2023-12-07T22:46:07.771851Z"
},
"tags": []
},
@@ -2028,10 +2028,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:25.275837Z",
- "iopub.status.busy": "2023-12-07T02:12:25.275837Z",
- "iopub.status.idle": "2023-12-07T02:12:25.279330Z",
- "shell.execute_reply": "2023-12-07T02:12:25.279330Z"
+ "iopub.execute_input": "2023-12-07T22:46:07.776850Z",
+ "iopub.status.busy": "2023-12-07T22:46:07.776850Z",
+ "iopub.status.idle": "2023-12-07T22:46:07.781668Z",
+ "shell.execute_reply": "2023-12-07T22:46:07.780633Z"
}
},
"outputs": [],
@@ -2061,10 +2061,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:25.284361Z",
- "iopub.status.busy": "2023-12-07T02:12:25.283341Z",
- "iopub.status.idle": "2023-12-07T02:12:25.298991Z",
- "shell.execute_reply": "2023-12-07T02:12:25.298991Z"
+ "iopub.execute_input": "2023-12-07T22:46:07.786650Z",
+ "iopub.status.busy": "2023-12-07T22:46:07.786650Z",
+ "iopub.status.idle": "2023-12-07T22:46:07.804920Z",
+ "shell.execute_reply": "2023-12-07T22:46:07.803900Z"
},
"tags": []
},
@@ -2077,7 +2077,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "4704ad27",
+ "id": "06680ee2",
"metadata": {
"deletable": true,
"editable": true
@@ -2111,7 +2111,7 @@
}
},
"cell_type": "markdown",
- "id": "28288ac7",
+ "id": "6cc264c1",
"metadata": {
"deletable": true,
"editable": true
@@ -2130,10 +2130,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:26.239032Z",
- "iopub.status.busy": "2023-12-07T02:12:26.239032Z",
- "iopub.status.idle": "2023-12-07T02:12:26.532616Z",
- "shell.execute_reply": "2023-12-07T02:12:26.532616Z"
+ "iopub.execute_input": "2023-12-07T22:46:09.189168Z",
+ "iopub.status.busy": "2023-12-07T22:46:09.189168Z",
+ "iopub.status.idle": "2023-12-07T22:46:09.482461Z",
+ "shell.execute_reply": "2023-12-07T22:46:09.481465Z"
},
"tags": []
},
@@ -2180,10 +2180,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:26.537626Z",
- "iopub.status.busy": "2023-12-07T02:12:26.537626Z",
- "iopub.status.idle": "2023-12-07T02:12:26.546237Z",
- "shell.execute_reply": "2023-12-07T02:12:26.546237Z"
+ "iopub.execute_input": "2023-12-07T22:46:09.486481Z",
+ "iopub.status.busy": "2023-12-07T22:46:09.486481Z",
+ "iopub.status.idle": "2023-12-07T22:46:09.495924Z",
+ "shell.execute_reply": "2023-12-07T22:46:09.494907Z"
},
"tags": []
},
@@ -2195,7 +2195,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "cd3d9edd",
+ "id": "ba09e02e",
"metadata": {
"deletable": true,
"editable": true
@@ -2224,10 +2224,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:26.917794Z",
- "iopub.status.busy": "2023-12-07T02:12:26.917794Z",
- "iopub.status.idle": "2023-12-07T02:12:26.924622Z",
- "shell.execute_reply": "2023-12-07T02:12:26.922609Z"
+ "iopub.execute_input": "2023-12-07T22:46:09.850702Z",
+ "iopub.status.busy": "2023-12-07T22:46:09.850702Z",
+ "iopub.status.idle": "2023-12-07T22:46:09.854625Z",
+ "shell.execute_reply": "2023-12-07T22:46:09.854625Z"
}
},
"outputs": [],
@@ -2252,7 +2252,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "7ae77097",
+ "id": "6e8a1cf4",
"metadata": {
"deletable": true,
"editable": true
@@ -2286,7 +2286,7 @@
}
},
"cell_type": "markdown",
- "id": "a8adbf55",
+ "id": "154fe78a",
"metadata": {
"deletable": true,
"editable": true
@@ -2305,10 +2305,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:27.484428Z",
- "iopub.status.busy": "2023-12-07T02:12:27.484428Z",
- "iopub.status.idle": "2023-12-07T02:12:27.708462Z",
- "shell.execute_reply": "2023-12-07T02:12:27.706431Z"
+ "iopub.execute_input": "2023-12-07T22:46:10.372947Z",
+ "iopub.status.busy": "2023-12-07T22:46:10.372947Z",
+ "iopub.status.idle": "2023-12-07T22:46:10.590084Z",
+ "shell.execute_reply": "2023-12-07T22:46:10.589063Z"
},
"tags": []
},
@@ -2336,10 +2336,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:27.712457Z",
- "iopub.status.busy": "2023-12-07T02:12:27.712457Z",
- "iopub.status.idle": "2023-12-07T02:12:27.717422Z",
- "shell.execute_reply": "2023-12-07T02:12:27.716413Z"
+ "iopub.execute_input": "2023-12-07T22:46:10.594082Z",
+ "iopub.status.busy": "2023-12-07T22:46:10.594082Z",
+ "iopub.status.idle": "2023-12-07T22:46:10.599068Z",
+ "shell.execute_reply": "2023-12-07T22:46:10.598139Z"
}
},
"outputs": [],
@@ -2369,10 +2369,10 @@
"deletable": true,
"editable": true,
"execution": {
- "iopub.execute_input": "2023-12-07T02:12:27.721421Z",
- "iopub.status.busy": "2023-12-07T02:12:27.721421Z",
- "iopub.status.idle": "2023-12-07T02:12:27.725543Z",
- "shell.execute_reply": "2023-12-07T02:12:27.725543Z"
+ "iopub.execute_input": "2023-12-07T22:46:10.603073Z",
+ "iopub.status.busy": "2023-12-07T22:46:10.603073Z",
+ "iopub.status.idle": "2023-12-07T22:46:10.608727Z",
+ "shell.execute_reply": "2023-12-07T22:46:10.607711Z"
},
"tags": []
},
@@ -2384,7 +2384,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "56864cae",
+ "id": "4c9c7de7",
"metadata": {
"deletable": true,
"editable": true
@@ -2397,7 +2397,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "9749e162",
+ "id": "da8911b8",
"metadata": {
"deletable": true,
"editable": true
@@ -2409,7 +2409,7 @@
},
{
"cell_type": "markdown",
- "id": "d3e8f2ff",
+ "id": "40a2cd3a",
"metadata": {
"deletable": false,
"editable": false
@@ -2432,7 +2432,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "543cfb4a",
+ "id": "62175e1f",
"metadata": {
"cell_type": "code",
"deletable": false,
@@ -2448,7 +2448,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "182271b2",
+ "id": "2e1574e2",
"metadata": {
"cell_type": "code",
"deletable": false,
@@ -2462,7 +2462,7 @@
{
"cell_type": "code",
"execution_count": null,
- "id": "a1856374",
+ "id": "a4c8062d",
"metadata": {
"cell_type": "code",
"deletable": false,
@@ -2476,7 +2476,7 @@
},
{
"cell_type": "markdown",
- "id": "1ff826ca",
+ "id": "0635d512",
"metadata": {
"deletable": false,
"editable": false
@@ -2703,7 +2703,7 @@
{
"cases": [
{
- "code": ">>> public_tests.check('q10', top_ranked_inter_faculty.sort_values(by=[\"Faculty Student\", \"International Students\"], ascending=[False, False])[[\"Faculty Student\", \"International Students\"]].reset_index(drop=True))\nAll test cases passed!\n",
+ "code": ">>> public_tests.check('q10', top_ranked_inter_faculty[[\"Faculty Student\", \"International Students\"]].reset_index(drop=True))\nAll test cases passed!\n",
"hidden": false,
"locked": false
},
@@ -2944,7 +2944,7 @@
{
"cases": [
{
- "code": ">>> public_tests.check('q17', overall_rank.sort_values(by=[\"Rank\", \"Overall\", \"fit\"], ascending=(True, False, False))[[\"Rank\", \"Overall\", \"fit\"]].reset_index(drop=True))\nAll test cases passed!\n",
+ "code": ">>> public_tests.check('q17', overall_rank[[\"Rank\", \"Overall\", \"fit\"]].reset_index(drop=True))\nAll test cases passed!\n",
"hidden": false,
"locked": false
},
@@ -2987,7 +2987,7 @@
{
"cases": [
{
- "code": ">>> public_tests.check('q18', inverse_overall_rank.sort_values(by=[\"Rank\", \"Inverse Overall\", \"fit\"], ascending=(True, False, False))[[\"Rank\", \"Inverse Overall\", \"fit\"]].reset_index(drop=True))\nAll test cases passed!\n",
+ "code": ">>> public_tests.check('q18', inverse_overall_rank[[\"Rank\", \"Inverse Overall\", \"fit\"]].reset_index(drop=True))\nAll test cases passed!\n",
"hidden": false,
"locked": false
},
@@ -3306,7 +3306,7 @@
{
"cases": [
{
- "code": ">>> public_tests.check('q8', citations_overall.sort_values(by=['Citations per Faculty', 'Overall'], ascending=[False, False]).reset_index(drop=True))\nAll test cases passed!\n",
+ "code": ">>> public_tests.check('q8', citations_overall.reset_index(drop=True))\nAll test cases passed!\n",
"hidden": false,
"locked": false
},
@@ -3349,7 +3349,7 @@
{
"cases": [
{
- "code": ">>> public_tests.check('q9', reputations_usa.sort_values(by=['Academic Reputation', 'Employer Reputation'], ascending=[False, False]).reset_index(drop=True))\nAll test cases passed!\n",
+ "code": ">>> public_tests.check('q9', reputations_usa.reset_index(drop=True))\nAll test cases passed!\n",
"hidden": false,
"locked": false
},
diff --git a/p13/public_tests.py b/p13/public_tests.py
index 8752dafe49e0ca2d6613b09ddec75322e4551c5e..b4322ca570f4c9f0ce799036cfc13bd74149a6e3 100644
--- a/p13/public_tests.py
+++ b/p13/public_tests.py
@@ -27,33 +27,34 @@ TEXT_FORMAT_DICT = "TEXT_FORMAT_DICT" # question type when the expected answer
TEXT_FORMAT_SPECIAL_ORDERED_LIST = "TEXT_FORMAT_SPECIAL_ORDERED_LIST" # question type when the expected answer is a list where order does matter, but with possible ties. Elements are ordered according to values in special_ordered_json (with ties allowed)
TEXT_FORMAT_NAMEDTUPLE = "TEXT_FORMAT_NAMEDTUPLE" # question type when expected answer is a namedtuple
PNG_FORMAT_SCATTER = "PNG_FORMAT_SCATTER" # question type when the expected answer is a scatter plot
-HTML_FORMAT = "HTML_FORMAT" # question type when the expected answer is a DataFrame
+HTML_FORMAT_ORDERED = "HTML_FORMAT_ORDERED" # question type when the expected answer is a DataFrame and the order of the indices matter
+HTML_FORMAT_UNORDERED = "HTML_FORMAT_UNORDERED" # question type when the expected answer is a DataFrame and the order of the indices does not matter
FILE_JSON_FORMAT = "FILE_JSON_FORMAT" # question type when the expected answer is a JSON file
SLASHES = "SLASHES" # question SUFFIX when expected answer contains paths with slashes
def get_expected_format():
"""get_expected_format() returns a dict mapping each question to the format
of the expected answer."""
- expected_format = {'q1': 'HTML_FORMAT',
- 'q2': 'HTML_FORMAT',
- 'q3': 'HTML_FORMAT',
- 'q4': 'HTML_FORMAT',
- 'q5': 'HTML_FORMAT',
- 'q6': 'HTML_FORMAT',
- 'q7': 'HTML_FORMAT',
- 'q8': 'HTML_FORMAT',
- 'q9': 'HTML_FORMAT',
- 'q10': 'HTML_FORMAT',
+ expected_format = {'q1': 'HTML_FORMAT_ORDERED',
+ 'q2': 'HTML_FORMAT_ORDERED',
+ 'q3': 'HTML_FORMAT_ORDERED',
+ 'q4': 'HTML_FORMAT_ORDERED',
+ 'q5': 'HTML_FORMAT_ORDERED',
+ 'q6': 'HTML_FORMAT_ORDERED',
+ 'q7': 'HTML_FORMAT_ORDERED',
+ 'q8': 'HTML_FORMAT_UNORDERED',
+ 'q9': 'HTML_FORMAT_UNORDERED',
+ 'q10': 'HTML_FORMAT_UNORDERED',
'q11': 'TEXT_FORMAT',
'q12': 'TEXT_FORMAT',
- 'q13': 'HTML_FORMAT',
- 'q14': 'HTML_FORMAT',
- 'q15': 'HTML_FORMAT',
- 'q16': 'HTML_FORMAT',
- 'q17': 'HTML_FORMAT',
- 'q18': 'HTML_FORMAT',
+ 'q13': 'HTML_FORMAT_ORDERED',
+ 'q14': 'HTML_FORMAT_ORDERED',
+ 'q15': 'HTML_FORMAT_ORDERED',
+ 'q16': 'HTML_FORMAT_ORDERED',
+ 'q17': 'HTML_FORMAT_UNORDERED',
+ 'q18': 'HTML_FORMAT_UNORDERED',
'q19': 'TEXT_FORMAT',
- 'q20': 'HTML_FORMAT'}
+ 'q20': 'HTML_FORMAT_ORDERED'}
return expected_format
@@ -98,8 +99,10 @@ def compare(expected, actual, q_format=TEXT_FORMAT):
return namedtuple_compare(expected, actual)
elif q_format == PNG_FORMAT_SCATTER:
return compare_flip_dicts(expected, actual)
- elif q_format == HTML_FORMAT:
- return compare_cell_html(expected, actual)
+ elif q_format == HTML_FORMAT_ORDERED:
+ return table_compare_ordered(expected, actual)
+ elif q_format == HTML_FORMAT_UNORDERED:
+ return table_compare_unordered(expected, actual)
elif q_format == FILE_JSON_FORMAT:
return compare_file_json(expected, actual)
else:
@@ -629,20 +632,19 @@ def parse_df(item):
return "item could not be parsed"
-def compare_cell_html(expected, actual):
- """compare_cell_html(expected, actual) is used to compare when the
- expected answer is a DataFrame stored in the `expected_dfs` html file."""
- try:
- expected_table = parse_df(expected)
- actual_table = parse_df(actual)
- except Exception as e:
- return "expected to find type DataFrame but found type %s instead" % type(actual).__name__
-
- if not isinstance(expected_table, (bs4.element.Tag)) or not isinstance(actual_table, (bs4.element.Tag)):
- return "expected to find type DataFrames but found types %s and %s instead" % (type(expected).__name__, type(actual).__name__)
- expected_cells = parse_table(expected_table)
- actual_cells = parse_table(actual_table)
+def parse_cells(cells):
+ """parse_cells(cells) takes in DataFrame cells as input and returns a DataFrame object"""
+ table = {}
+ for idx in cells:
+ if idx[1] not in table:
+ table[idx[1]] = {}
+ table[idx[1]][idx[0]] = cells[idx]
+ return pd.DataFrame(table)
+
+def compare_cell_html(expected_cells, actual_cells):
+ """compare_cell_html(expected_cells, actual_cells) is used to compare all the cells
+ of two DataFrames."""
expected_cols = list(set(["column %s" % (loc[1]) for loc in expected_cells]))
actual_cols = list(set(["column %s" % (loc[1]) for loc in actual_cells]))
msg = list_compare_unordered(expected_cols, actual_cols, "DataFrame")
@@ -673,6 +675,45 @@ def compare_cell_html(expected, actual):
return PASS
+def table_compare_ordered(expected, actual):
+ """table_compare_ordered(expected, actual) is used to compare when the
+ expected answer is a DataFrame where the order of the indices matter."""
+ try:
+ expected_table = parse_df(expected)
+ actual_table = parse_df(actual)
+ except Exception as e:
+ return "expected to find type DataFrame but found type %s instead" % type(actual).__name__
+
+ if not isinstance(expected_table, (bs4.element.Tag)) or not isinstance(actual_table, (bs4.element.Tag)):
+ return "expected to find type DataFrames but found types %s and %s instead" % (type(expected).__name__, type(actual).__name__)
+ expected_cells = parse_table(expected_table)
+ actual_cells = parse_table(actual_table)
+ return compare_cell_html(expected_cells, actual_cells)
+
+
+def table_compare_unordered(expected, actual):
+ """table_compare_unordered(expected, actual) is used to compare when the
+ expected answer is a DataFrame where the order of the indices do not matter."""
+ try:
+ expected_table = parse_df(expected)
+ actual_table = parse_df(actual)
+ except Exception as e:
+ return "expected to find type DataFrame but found type %s instead" % type(actual).__name__
+
+ if not isinstance(expected_table, (bs4.element.Tag)) or not isinstance(actual_table, (bs4.element.Tag)):
+ return "expected to find type DataFrames but found types %s and %s instead" % (type(expected).__name__, type(actual).__name__)
+ expected_cells = parse_table(expected_table)
+ actual_cells = parse_table(actual_table)
+
+ new_expected = parse_cells(expected_cells)
+ new_actual = parse_cells(actual_cells)
+
+ new_expected = new_expected.sort_values(by=list(new_expected.columns)).reset_index(drop=True)
+ new_actual = new_actual.sort_values(by=list(new_expected.columns)).reset_index(drop=True)[list(new_expected.columns)]
+
+ return table_compare_ordered(new_expected, new_actual)
+
+
def get_expected_plots():
"""get_expected_plots() reads the json file with the expected plot data
and returns a dict mapping each question to a dictionary with the plots data."""
@@ -732,7 +773,7 @@ def check(qnum, actual):
msg = error_msg + "file %s not parsed; make sure it is downloaded and stored in the correct directory" % (PLOT_FILE)
else:
expected = _expected_plots[qnum]
- elif q_format == HTML_FORMAT:
+ elif q_format in [HTML_FORMAT_ORDERED, HTML_FORMAT_UNORDERED]:
if _expected_tables == None:
msg = error_msg + "file %s not parsed; make sure it is downloaded and stored in the correct directory" % (DF_FILE)
else: