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Posted to commits@madlib.apache.org by fm...@apache.org on 2018/04/24 16:11:28 UTC
[1/2] madlib-site git commit: fix decision tree jupyter notebook
Repository: madlib-site
Updated Branches:
refs/heads/asf-site 418f361cf -> f732f863c
http://git-wip-us.apache.org/repos/asf/madlib-site/blob/f732f863/community-artifacts/Decision-trees-v1.ipynb
----------------------------------------------------------------------
diff --git a/community-artifacts/Decision-trees-v1.ipynb b/community-artifacts/Decision-trees-v1.ipynb
index e97b943..02a60ef 100644
--- a/community-artifacts/Decision-trees-v1.ipynb
+++ b/community-artifacts/Decision-trees-v1.ipynb
@@ -11,15 +11,17 @@
},
{
"cell_type": "code",
- "execution_count": 34,
+ "execution_count": 1,
"metadata": {},
"outputs": [
{
- "name": "stdout",
+ "name": "stderr",
"output_type": "stream",
"text": [
- "The sql extension is already loaded. To reload it, use:\n",
- " %reload_ext sql\n"
+ "/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/config.py:13: ShimWarning: The `IPython.config` package has been deprecated. You should import from traitlets.config instead.\n",
+ " \"You should import from traitlets.config instead.\", ShimWarning)\n",
+ "/Users/fmcquillan/anaconda/lib/python2.7/site-packages/IPython/utils/traitlets.py:5: UserWarning: IPython.utils.traitlets has moved to a top-level traitlets package.\n",
+ " warn(\"IPython.utils.traitlets has moved to a top-level traitlets package.\")\n"
]
}
],
@@ -29,26 +31,26 @@
},
{
"cell_type": "code",
- "execution_count": 35,
+ "execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- "u'Connected: fmcquillan@madlib'"
+ "u'Connected: gpadmin@madlib'"
]
},
- "execution_count": 35,
+ "execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# Greenplum Database 5.4.0 on GCP (demo machine)\n",
- "#%sql postgresql://gpadmin@35.184.253.255:5432/madlib\n",
+ "%sql postgresql://gpadmin@35.184.253.255:5432/madlib\n",
" \n",
"# PostgreSQL local\n",
- "%sql postgresql://fmcquillan@localhost:5432/madlib\n",
+ "#%sql postgresql://fmcquillan@localhost:5432/madlib\n",
"\n",
"# Greenplum Database 4.3.10.0\n",
"#%sql postgresql://gpdbchina@10.194.10.68:61000/madlib"
@@ -56,9 +58,37 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 3,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <tr>\n",
+ " <th>version</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>MADlib version: 1.14, git revision: rc/1.13-rc1-68-g1c81cb1, cmake configuration time: Tue Apr 24 15:54:15 UTC 2018, build type: release, build system: Linux-2.6.32-696.20.1.el6.x86_64, C compiler: gcc 4.4.7, C++ compiler: g++ 4.4.7</td>\n",
+ " </tr>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(u'MADlib version: 1.14, git revision: rc/1.13-rc1-68-g1c81cb1, cmake configuration time: Tue Apr 24 15:54:15 UTC 2018, build type: release, build system: Linux-2.6.32-696.20.1.el6.x86_64, C compiler: gcc 4.4.7, C++ compiler: g++ 4.4.7',)]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"%sql select madlib.version();\n",
"#%sql select version();"
@@ -81,7 +111,7 @@
},
{
"cell_type": "code",
- "execution_count": 36,
+ "execution_count": 4,
"metadata": {},
"outputs": [
{
@@ -282,7 +312,7 @@
" (14, u'rain', 71.0, 80.0, [71.0, 80.0], [u'low', u'unhealthy'], True, u\"Don't Play\", 1.0)]"
]
},
- "execution_count": 36,
+ "execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
@@ -332,7 +362,7 @@
},
{
"cell_type": "code",
- "execution_count": 37,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
@@ -356,17 +386,17 @@
" </tr>\n",
" <tr>\n",
" <td>0</td>\n",
- " <td>[u'overcast', u'sunny', u'rain', u'False', u'True']</td>\n",
+ " <td>[u'overcast', u'rain', u'sunny', u'False', u'True']</td>\n",
" <td>[3, 2]</td>\n",
" <td>5</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(0, [u'overcast', u'sunny', u'rain', u'False', u'True'], [3, 2], 5)]"
+ "[(0, [u'overcast', u'rain', u'sunny', u'False', u'True'], [3, 2], 5)]"
]
},
- "execution_count": 37,
+ "execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
@@ -402,7 +432,7 @@
},
{
"cell_type": "code",
- "execution_count": 38,
+ "execution_count": 6,
"metadata": {},
"outputs": [
{
@@ -435,7 +465,7 @@
" <th>dependent_var_type</th>\n",
" <th>input_cp</th>\n",
" <th>independent_var_types</th>\n",
- " <th>k</th>\n",
+ " <th>n_folds</th>\n",
" <th>null_proxy</th>\n",
" </tr>\n",
" <tr>\n",
@@ -457,16 +487,16 @@
" <td>text</td>\n",
" <td>0.0</td>\n",
" <td>text, boolean, double precision</td>\n",
+ " <td>0</td>\n",
" <td>None</td>\n",
- " <td>NULL</td>\n",
" </tr>\n",
"</table>"
],
"text/plain": [
- "[(u'tree_train', True, u'dt_golf', u'train_output', u'id', u'class', u'\"OUTLOOK\", temperature, windy', u'\"OUTLOOK\",windy', u'temperature', None, 1, 0, 14, 0, u'\"Don\\'t Play\",\"Play\"', u'text', 0.0, u'text, boolean, double precision', None, u'NULL')]"
+ "[(u'tree_train', True, u'dt_golf', u'train_output', u'id', u'class', u'\"OUTLOOK\", temperature, windy', u'\"OUTLOOK\",windy', u'temperature', None, 1, 0, 14, 0, u'\"Don\\'t Play\",\"Play\"', u'text', 0.0, u'text, boolean, double precision', 0, None)]"
]
},
- "execution_count": 38,
+ "execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
@@ -488,7 +518,7 @@
},
{
"cell_type": "code",
- "execution_count": 39,
+ "execution_count": 7,
"metadata": {},
"outputs": [
{
@@ -598,7 +628,7 @@
" (14, u\"Don't Play\", u\"Don't Play\")]"
]
},
- "execution_count": 39,
+ "execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
@@ -625,7 +655,7 @@
},
{
"cell_type": "code",
- "execution_count": 40,
+ "execution_count": 8,
"metadata": {},
"outputs": [
{
@@ -750,7 +780,7 @@
" (14, u\"Don't Play\", 1.0, 0.0)]"
]
},
- "execution_count": 40,
+ "execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
@@ -777,7 +807,7 @@
},
{
"cell_type": "code",
- "execution_count": 41,
+ "execution_count": 9,
"metadata": {},
"outputs": [
{
@@ -803,7 +833,7 @@
"[(u'-------------------------------------\\n - Each node represented by \\'id\\' inside ().\\n - Each internal nodes has the split condition at the end, while each\\n leaf node has a * at the end.\\n - For each internal node (i), its child nodes are indented by 1 level\\n with ids (2i+1) for True node and (2i+2) for False node.\\n - Number of (weighted) rows for each response variable inside [].\\'\\n The response label order is given as [\\'\"Don\\\\\\'t Play\"\\', \\'\"Play\"\\'].\\n For each leaf, the prediction is given after the \\'-->\\'\\n \\n-------------------------------------\\n(0)[5 9] \"OUTLOOK\" in {overcast}\\n (1)[0 4] * --> \"Play\"\\n (2)[5 5] temperature <= 75\\n (5)[3 5] temperature <= 65\\n (11)[1 0] * --> \"Don\\'t Play\"\\n (12)[2 5] temperature <= 70\\n (25)[0 3] * --> \"Play\"\\n (26)[2 2] temperature <= 72\\n (53)[2 0] * --> \"Don\\'t
Play\"\\n (54)[0 2] * --> \"Play\"\\n (6)[2 0] * --> \"Don\\'t Play\"\\n\\n-------------------------------------',)]"
]
},
- "execution_count": 41,
+ "execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
@@ -837,7 +867,7 @@
},
{
"cell_type": "code",
- "execution_count": 42,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
@@ -863,7 +893,7 @@
"[(u'digraph \"Classification tree for dt_golf\" {\\n\\t subgraph \"cluster0\"{\\n\\t label=\"\"\\n\"g0_0\" [label=\"\\\\\"OUTLOOK\\\\\" <= overcast\", shape=ellipse];\\n\"g0_0\" -> \"g0_1\"[label=\"yes\"];\\n\"g0_1\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\"g0_0\" -> \"g0_2\"[label=\"no\"];\\n\"g0_2\" [label=\"temperature <= 75\", shape=ellipse];\\n\"g0_2\" -> \"g0_5\"[label=\"yes\"];\\n\"g0_2\" -> \"g0_6\"[label=\"no\"];\\n\"g0_6\" [label=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_5\" [label=\"temperature <= 65\", shape=ellipse];\\n\"g0_5\" -> \"g0_11\"[label=\"yes\"];\\n\"g0_11\" [label=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_5\" -> \"g0_12\"[label=\"no\"];\\n\"g0_12\" [label=\"temperature <= 70\", shape=ellipse];\\n\"g0_12\" -> \"g0_25\"[label=\"yes\"];\\n\"g0_25\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\"g0_12\" -> \"g0_26\"[label=\"no\"];\\n\"g0_26\" [label=\"temperature <= 72\", shape=ellipse];\\n\"g0_26\" -> \"g0_53\"[label=\"yes\"];\\n\"g0_53\" [la
bel=\"\\\\\"Don\\'t Play\\\\\"\",shape=box];\\n\"g0_26\" -> \"g0_54\"[label=\"no\"];\\n\"g0_54\" [label=\"\\\\\"Play\\\\\"\",shape=box];\\n\\n\\t } //--- end of subgraph------------\\n} //---end of digraph--------- ',)]"
]
},
- "execution_count": 42,
+ "execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
@@ -882,7 +912,7 @@
},
{
"cell_type": "code",
- "execution_count": 43,
+ "execution_count": 12,
"metadata": {},
"outputs": [
{
@@ -908,7 +938,7 @@
"[(u'digraph \"Classification tree for dt_golf\" {\\n\\t subgraph \"cluster0\"{\\n\\t label=\"\"\\n\"g0_0\" [label=\"\\\\\"OUTLOOK\\\\\" <= overcast\\\\n impurity = 0.459184\\\\n samples = 14\\\\n value = [5 9]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_0\" -> \"g0_1\"[label=\"yes\"];\\n\"g0_1\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 4\\\\n value = [0 4]\",shape=box];\\n\"g0_0\" -> \"g0_2\"[label=\"no\"];\\n\"g0_2\" [label=\"temperature <= 75\\\\n impurity = 0.5\\\\n samples = 10\\\\n value = [5 5]\\\\n class = \\\\\"Don\\'t Play\\\\\"\", shape=ellipse];\\n\"g0_2\" -> \"g0_5\"[label=\"yes\"];\\n\"g0_2\" -> \"g0_6\"[label=\"no\"];\\n\"g0_6\" [label=\"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [2 0]\",shape=box];\\n\"g0_5\" [label=\"temperature <= 65\\\\n impurity = 0.46875\\\\n samples = 8\\\\n value = [3 5]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_5\" -> \"g0_11\"[label=\"yes\"];\\n\"g0_11\" [label=
\"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 1\\\\n value = [1 0]\",shape=box];\\n\"g0_5\" -> \"g0_12\"[label=\"no\"];\\n\"g0_12\" [label=\"temperature <= 70\\\\n impurity = 0.408163\\\\n samples = 7\\\\n value = [2 5]\\\\n class = \\\\\"Play\\\\\"\", shape=ellipse];\\n\"g0_12\" -> \"g0_25\"[label=\"yes\"];\\n\"g0_25\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 3\\\\n value = [0 3]\",shape=box];\\n\"g0_12\" -> \"g0_26\"[label=\"no\"];\\n\"g0_26\" [label=\"temperature <= 72\\\\n impurity = 0.5\\\\n samples = 4\\\\n value = [2 2]\\\\n class = \\\\\"Don\\'t Play\\\\\"\", shape=ellipse];\\n\"g0_26\" -> \"g0_53\"[label=\"yes\"];\\n\"g0_53\" [label=\"\\\\\"Don\\'t Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [2 0]\",shape=box];\\n\"g0_26\" -> \"g0_54\"[label=\"no\"];\\n\"g0_54\" [label=\"\\\\\"Play\\\\\"\\\\n impurity = 0\\\\n samples = 2\\\\n value = [0 2]\",shape=box];\\n\\n\\t } //--- end of subgraph------------\\n} //---end of digraph------
--- ',)]"
]
},
- "execution_count": 43,
+ "execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
@@ -927,7 +957,7 @@
},
{
"cell_type": "code",
- "execution_count": 45,
+ "execution_count": 15,
"metadata": {},
"outputs": [
{
@@ -945,7 +975,7 @@
"<IPython.core.display.Image object>"
]
},
- "execution_count": 45,
+ "execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
@@ -990,9 +1020,45 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 16,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Done.\n",
+ "1 rows affected.\n",
+ "1 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <tr>\n",
+ " <th>pruning_cp</th>\n",
+ " <th>cat_levels_in_text</th>\n",
+ " <th>cat_n_levels</th>\n",
+ " <th>tree_depth</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>0</td>\n",
+ " <td>[u'medium', u'none', u'high', u'low', u'unhealthy', u'good', u'moderate']</td>\n",
+ " <td>[4, 3]</td>\n",
+ " <td>3</td>\n",
+ " </tr>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(0, [u'medium', u'none', u'high', u'low', u'unhealthy', u'good', u'moderate'], [4, 3], 3)]"
+ ]
+ },
+ "execution_count": 16,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS train_output, train_output_summary;\n",
@@ -1024,9 +1090,75 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 17,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <tr>\n",
+ " <th>method</th>\n",
+ " <th>is_classification</th>\n",
+ " <th>source_table</th>\n",
+ " <th>model_table</th>\n",
+ " <th>id_col_name</th>\n",
+ " <th>dependent_varname</th>\n",
+ " <th>independent_varnames</th>\n",
+ " <th>cat_features</th>\n",
+ " <th>con_features</th>\n",
+ " <th>grouping_cols</th>\n",
+ " <th>num_all_groups</th>\n",
+ " <th>num_failed_groups</th>\n",
+ " <th>total_rows_processed</th>\n",
+ " <th>total_rows_skipped</th>\n",
+ " <th>dependent_var_levels</th>\n",
+ " <th>dependent_var_type</th>\n",
+ " <th>input_cp</th>\n",
+ " <th>independent_var_types</th>\n",
+ " <th>n_folds</th>\n",
+ " <th>null_proxy</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>tree_train</td>\n",
+ " <td>True</td>\n",
+ " <td>dt_golf</td>\n",
+ " <td>train_output</td>\n",
+ " <td>id</td>\n",
+ " <td>class</td>\n",
+ " <td>\"Temp_Humidity\", clouds_airquality</td>\n",
+ " <td>clouds_airquality[1],clouds_airquality[2]</td>\n",
+ " <td>\"Temp_Humidity\"[1],\"Temp_Humidity\"[2]</td>\n",
+ " <td>None</td>\n",
+ " <td>1</td>\n",
+ " <td>0</td>\n",
+ " <td>14</td>\n",
+ " <td>0</td>\n",
+ " <td>\"Don't Play\",\"Play\"</td>\n",
+ " <td>text</td>\n",
+ " <td>0.0</td>\n",
+ " <td>text, text, double precision, double precision</td>\n",
+ " <td>0</td>\n",
+ " <td>None</td>\n",
+ " </tr>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(u'tree_train', True, u'dt_golf', u'train_output', u'id', u'class', u'\"Temp_Humidity\", clouds_airquality', u'clouds_airquality[1],clouds_airquality[2]', u'\"Temp_Humidity\"[1],\"Temp_Humidity\"[2]', None, 1, 0, 14, 0, u'\"Don\\'t Play\",\"Play\"', u'text', 0.0, u'text, text, double precision, double precision', 0, None)]"
+ ]
+ },
+ "execution_count": 17,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"%%sql\n",
"select * from train_output_summary;"
@@ -1042,9 +1174,39 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 18,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Done.\n",
+ "1 rows affected.\n",
+ "1 rows affected.\n"
+ ]
+ },
+ {
+ "data": {
+ "text/html": [
+ "<table>\n",
+ " <tr>\n",
+ " <th>tree_display</th>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>-------------------------------------<br> - Each node represented by 'id' inside ().<br> - Each internal nodes has the split condition at the end, while each<br> leaf node has a * at the end.<br> - For each internal node (i), its child nodes are indented by 1 level<br> with ids (2i+1) for True node and (2i+2) for False node.<br> - Number of (weighted) rows for each response variable inside [].'<br> The response label order is given as ['\"Don\\'t Play\"', '\"Play\"'].<br> For each leaf, the prediction is given after the '-->'<br> <br>-------------------------------------<br>(0)[17 19] temperature <= 75<br> (1)[ 7 16] temperature <= 72<br> (3)[ 7 10] temperature <= 70<br> (7)[ 1 8.5] * --> \"Play\"<br> (8)[ 6 1.5] \"OUTLOOK\" in {overcast}<br> (17)[ 0 1.5] * --> \"Play\"<br> (18)[6 0] * --> \"Don't Play\"<br> (4)[0 6] * --> \"Play\"<b
r> (2)[10 3] \"OUTLOOK\" in {overcast}<br> (5)[0 3] * --> \"Play\"<br> (6)[10 0] * --> \"Don't Play\"<br><br>-------------------------------------</td>\n",
+ " </tr>\n",
+ "</table>"
+ ],
+ "text/plain": [
+ "[(u'-------------------------------------\\n - Each node represented by \\'id\\' inside ().\\n - Each internal nodes has the split condition at the end, while each\\n leaf node has a * at the end.\\n - For each internal node (i), its child nodes are indented by 1 level\\n with ids (2i+1) for True node and (2i+2) for False node.\\n - Number of (weighted) rows for each response variable inside [].\\'\\n The response label order is given as [\\'\"Don\\\\\\'t Play\"\\', \\'\"Play\"\\'].\\n For each leaf, the prediction is given after the \\'-->\\'\\n \\n-------------------------------------\\n(0)[17 19] temperature <= 75\\n (1)[ 7 16] temperature <= 72\\n (3)[ 7 10] temperature <= 70\\n (7)[ 1 8.5] * --> \"Play\"\\n (8)[ 6 1.5] \"OUTLOOK\" in {overcast}\\n (17)[ 0 1.5] * --> \"Play\"\\n (18)[6 0] * --> \"Don\\'t Play\"\\n (4)[0 6] * --> \"Play\"\\n (2)[10 3] \"OUTLOOK\
" in {overcast}\\n (5)[0 3] * --> \"Play\"\\n (6)[10 0] * --> \"Don\\'t Play\"\\n\\n-------------------------------------',)]"
+ ]
+ },
+ "execution_count": 18,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
"source": [
"%%sql\n",
"DROP TABLE IF EXISTS train_output, train_output_summary;\n",
@@ -1069,9 +1231,29 @@
},
{
"cell_type": "code",
- "execution_count": null,
+ "execution_count": 20,
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "1 rows affected.\n",
+ "True\n"
+ ]
+ },
+ {
+ "data": {
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[2/2] madlib-site git commit: fix decision tree jupyter notebook
Posted by fm...@apache.org.
fix decision tree jupyter notebook
Project: http://git-wip-us.apache.org/repos/asf/madlib-site/repo
Commit: http://git-wip-us.apache.org/repos/asf/madlib-site/commit/f732f863
Tree: http://git-wip-us.apache.org/repos/asf/madlib-site/tree/f732f863
Diff: http://git-wip-us.apache.org/repos/asf/madlib-site/diff/f732f863
Branch: refs/heads/asf-site
Commit: f732f863cead81f4ecee5fbe3efb9dd362964c57
Parents: 418f361
Author: Frank McQuillan <fm...@pivotal.io>
Authored: Tue Apr 24 09:10:53 2018 -0700
Committer: Frank McQuillan <fm...@pivotal.io>
Committed: Tue Apr 24 09:10:53 2018 -0700
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community-artifacts/Decision-trees-v1.ipynb | 1785 ++++++++++++++++++++--
1 file changed, 1623 insertions(+), 162 deletions(-)
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