From 77437f4023df5beb6986b78b68c4a1a4cb231e6f Mon Sep 17 00:00:00 2001
From: Yeshwanth <yyeshr@gmail.com>
Date: Sat, 24 Aug 2024 22:51:12 +0530
Subject: [PATCH] 0.541

---
 _proc/charts.ipynb           | 12 +++++-----
 _proc/decorators.ipynb       |  2 +-
 _proc/jupyter_notebook.ipynb |  4 ++--
 _proc/logging.ipynb          |  2 +-
 _proc/markups.ipynb          |  2 +-
 _proc/misc.ipynb             | 30 +++++++++++------------
 _proc/sklegos.ipynb          |  4 ++--
 docs/charts.html             | 12 +++++-----
 docs/decorators.html         |  2 +-
 docs/jupyter_notebook.html   |  2 +-
 docs/markups.html            |  2 +-
 docs/misc.html               | 28 +++++++++++-----------
 docs/search.json             | 10 ++++----
 docs/sitemap.xml             | 46 ++++++++++++++++++------------------
 docs/sklegos.html            |  2 +-
 15 files changed, 80 insertions(+), 80 deletions(-)

diff --git a/_proc/charts.ipynb b/_proc/charts.ipynb
index 33f3941..0a548e9 100644
--- a/_proc/charts.ipynb
+++ b/_proc/charts.ipynb
@@ -33,23 +33,23 @@
       "text/html": [
        "\n",
        "<style>\n",
-       "  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed {\n",
+       "  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed {\n",
        "    width: 100%;\n",
        "    display: flex;\n",
        "  }\n",
        "\n",
-       "  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed details,\n",
-       "  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed details summary {\n",
+       "  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed details,\n",
+       "  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed details summary {\n",
        "    position: relative;\n",
        "  }\n",
        "</style>\n",
-       "<div id=\"altair-viz-57602b7c4ea041e399c162ef7d06c1d2\"></div>\n",
+       "<div id=\"altair-viz-7ec3313cb79e49faa4de93aa063cb570\"></div>\n",
        "<script type=\"text/javascript\">\n",
        "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
        "  (function(spec, embedOpt){\n",
        "    let outputDiv = document.currentScript.previousElementSibling;\n",
-       "    if (outputDiv.id !== \"altair-viz-57602b7c4ea041e399c162ef7d06c1d2\") {\n",
-       "      outputDiv = document.getElementById(\"altair-viz-57602b7c4ea041e399c162ef7d06c1d2\");\n",
+       "    if (outputDiv.id !== \"altair-viz-7ec3313cb79e49faa4de93aa063cb570\") {\n",
+       "      outputDiv = document.getElementById(\"altair-viz-7ec3313cb79e49faa4de93aa063cb570\");\n",
        "    }\n",
        "    const paths = {\n",
        "      \"vega\": \"https://cdn.jsdelivr.net/npm/vega@5?noext\",\n",
diff --git a/_proc/decorators.ipynb b/_proc/decorators.ipynb
index 552dd29..95a541c 100644
--- a/_proc/decorators.ipynb
+++ b/_proc/decorators.ipynb
@@ -282,7 +282,7 @@
       "OUTPUTS:\n",
       "int: 21\n",
       "══════════════════════════════════════════════════════════════════\n",
-      "\u001b[2;36m[08/24/24 22:47:48]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m foo took \u001b[1;36m1.00\u001b[0m seconds to execute                                                                      \u001b]8;id=520224;file://<ipython-input-1-6ac2073623b5>:47\u001b\\\u001b[2m<ipython-input-1-6ac2073623b5>\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=291966;file://<ipython-input-1-6ac2073623b5>:47#wrapper:47\u001b\\\u001b[2mwrapper:47\u001b[0m\u001b]8;;\u001b\\\n"
+      "\u001b[2;36m[08/24/24 22:50:57]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m foo took \u001b[1;36m1.00\u001b[0m seconds to execute                                                                      \u001b]8;id=82185;file://<ipython-input-1-6ac2073623b5>:47\u001b\\\u001b[2m<ipython-input-1-6ac2073623b5>\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=712140;file://<ipython-input-1-6ac2073623b5>:47#wrapper:47\u001b\\\u001b[2mwrapper:47\u001b[0m\u001b]8;;\u001b\\\n"
      ]
     },
     {
diff --git a/_proc/jupyter_notebook.ipynb b/_proc/jupyter_notebook.ipynb
index 45f90af..d8fbaf4 100644
--- a/_proc/jupyter_notebook.ipynb
+++ b/_proc/jupyter_notebook.ipynb
@@ -219,7 +219,7 @@
        "### display_dfs_side_by_side\n",
        "\n",
        ">      display_dfs_side_by_side (*args, titles=<itertools.cycle object at\n",
-       ">                                0x11ed2ad00>, max_rows=50)"
+       ">                                0x12412ef40>, max_rows=50)"
       ],
       "text/plain": [
        "---\n",
@@ -227,7 +227,7 @@
        "### display_dfs_side_by_side\n",
        "\n",
        ">      display_dfs_side_by_side (*args, titles=<itertools.cycle object at\n",
-       ">                                0x11ed2ad00>, max_rows=50)"
+       ">                                0x12412ef40>, max_rows=50)"
       ]
      },
      "execution_count": 6,
diff --git a/_proc/logging.ipynb b/_proc/logging.ipynb
index 4748fcf..215bf46 100644
--- a/_proc/logging.ipynb
+++ b/_proc/logging.ipynb
@@ -1094,7 +1094,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x13a352180>"
+       "<IPython.lib.display.YouTubeVideo at 0x12771d9d0>"
       ]
      },
      "execution_count": 4,
diff --git a/_proc/markups.ipynb b/_proc/markups.ipynb
index 59da239..0ad4b4e 100644
--- a/_proc/markups.ipynb
+++ b/_proc/markups.ipynb
@@ -373,7 +373,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\u001b[2;36m[08/24/24 22:47:47]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m loaded \u001b[1;36m8\u001b[0m lines                                                                                        \u001b]8;id=395873;file://<ipython-input-1-e6d68859b80d>:6\u001b\\\u001b[2m<ipython-input-1-e6d68859b80d>\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=446008;file://<ipython-input-1-e6d68859b80d>:6#<module>:6\u001b\\\u001b[2m<module>:6\u001b[0m\u001b]8;;\u001b\\\n",
+      "\u001b[2;36m[08/24/24 22:50:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO    \u001b[0m loaded \u001b[1;36m8\u001b[0m lines                                                                                        \u001b]8;id=726449;file://<ipython-input-1-e6d68859b80d>:6\u001b\\\u001b[2m<ipython-input-1-e6d68859b80d>\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=24409;file://<ipython-input-1-e6d68859b80d>:6#<module>:6\u001b\\\u001b[2m<module>:6\u001b[0m\u001b]8;;\u001b\\\n",
       "{\n",
       "\"a\": [\n",
       "1.0,\n",
diff --git a/_proc/misc.ipynb b/_proc/misc.ipynb
index 0a44ac7..cec5b7b 100644
--- a/_proc/misc.ipynb
+++ b/_proc/misc.ipynb
@@ -134,7 +134,7 @@
        "        "
       ],
       "text/plain": [
-       "<IPython.lib.display.YouTubeVideo at 0x1197a26f0>"
+       "<IPython.lib.display.YouTubeVideo at 0x107cf0fe0>"
       ]
      },
      "execution_count": 1,
@@ -778,11 +778,11 @@
       "func - do (🏷️ str)\n",
       "args()\n",
       "  0 - 1 (🏷️ int)\n",
-      "  1 - 9 (🏷️ int)\n",
+      "  1 - 5 (🏷️ int)\n",
       "kwargs\n",
-      "  c - 73 (🏷️ int)\n",
-      "tb - NotImplementedError: 🤔 (🏷️ str)\n",
-      "err_type - NotImplementedError (🏷️ str)\n",
+      "  c - 35 (🏷️ int)\n",
+      "tb - ZeroDivisionError: division by zero (🏷️ str)\n",
+      "err_type - ZeroDivisionError (🏷️ str)\n",
       "\n",
       "```\n",
       ", \n",
@@ -790,9 +790,9 @@
       "func - do (🏷️ str)\n",
       "args()\n",
       "  0 - 1 (🏷️ int)\n",
-      "  1 - 0 (🏷️ int)\n",
+      "  1 - 9 (🏷️ int)\n",
       "kwargs\n",
-      "  c - 40 (🏷️ int)\n",
+      "  c - 71 (🏷️ int)\n",
       "tb - NotImplementedError: 🤔 (🏷️ str)\n",
       "err_type - NotImplementedError (🏷️ str)\n",
       "\n",
@@ -802,11 +802,11 @@
       "func - do (🏷️ str)\n",
       "args()\n",
       "  0 - 1 (🏷️ int)\n",
-      "  1 - 3 (🏷️ int)\n",
+      "  1 - 10 (🏷️ int)\n",
       "kwargs\n",
-      "  c - 26 (🏷️ int)\n",
-      "tb - ZeroDivisionError: division by zero (🏷️ str)\n",
-      "err_type - ZeroDivisionError (🏷️ str)\n",
+      "  c - 2 (🏷️ int)\n",
+      "tb - NotImplementedError: 🤔 (🏷️ str)\n",
+      "err_type - NotImplementedError (🏷️ str)\n",
       "\n",
       "```\n",
       ", \n",
@@ -814,11 +814,11 @@
       "func - do (🏷️ str)\n",
       "args()\n",
       "  0 - 1 (🏷️ int)\n",
-      "  1 - 3 (🏷️ int)\n",
+      "  1 - 4 (🏷️ int)\n",
       "kwargs\n",
-      "  c - 88 (🏷️ int)\n",
-      "tb - ZeroDivisionError: division by zero (🏷️ str)\n",
-      "err_type - ZeroDivisionError (🏷️ str)\n",
+      "  c - 17 (🏷️ int)\n",
+      "tb - NotImplementedError: 🤔 (🏷️ str)\n",
+      "err_type - NotImplementedError (🏷️ str)\n",
       "\n",
       "```\n",
       "]\n"
diff --git a/_proc/sklegos.ipynb b/_proc/sklegos.ipynb
index 7224856..e601f73 100644
--- a/_proc/sklegos.ipynb
+++ b/_proc/sklegos.ipynb
@@ -102,7 +102,7 @@
        "\n",
        "### ImputeMissingValues\n",
        "\n",
-       ">      ImputeMissingValues (num_mode=<function mean at 0x111a83230>,\n",
+       ">      ImputeMissingValues (num_mode=<function mean at 0x11225b3f0>,\n",
        ">                           cat_mode='MISSING')\n",
        "\n",
        "*DataFrame input - DataFrame output\n",
@@ -117,7 +117,7 @@
        "\n",
        "### ImputeMissingValues\n",
        "\n",
-       ">      ImputeMissingValues (num_mode=<function mean at 0x111a83230>,\n",
+       ">      ImputeMissingValues (num_mode=<function mean at 0x11225b3f0>,\n",
        ">                           cat_mode='MISSING')\n",
        "\n",
        "*DataFrame input - DataFrame output\n",
diff --git a/docs/charts.html b/docs/charts.html
index 3aa9e8c..672b62a 100644
--- a/docs/charts.html
+++ b/docs/charts.html
@@ -328,23 +328,23 @@ <h1>Altair and Other Charts</h1>
 <div class="cell-output cell-output-display" data-execution_count="1">
 
 <style>
-  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed {
+  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed {
     width: 100%;
     display: flex;
   }
 
-  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed details,
-  #altair-viz-57602b7c4ea041e399c162ef7d06c1d2.vega-embed details summary {
+  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed details,
+  #altair-viz-7ec3313cb79e49faa4de93aa063cb570.vega-embed details summary {
     position: relative;
   }
 </style>
-<div id="altair-viz-57602b7c4ea041e399c162ef7d06c1d2"></div>
+<div id="altair-viz-7ec3313cb79e49faa4de93aa063cb570"></div>
 <script type="text/javascript">
   var VEGA_DEBUG = (typeof VEGA_DEBUG == "undefined") ? {} : VEGA_DEBUG;
   (function(spec, embedOpt){
     let outputDiv = document.currentScript.previousElementSibling;
-    if (outputDiv.id !== "altair-viz-57602b7c4ea041e399c162ef7d06c1d2") {
-      outputDiv = document.getElementById("altair-viz-57602b7c4ea041e399c162ef7d06c1d2");
+    if (outputDiv.id !== "altair-viz-7ec3313cb79e49faa4de93aa063cb570") {
+      outputDiv = document.getElementById("altair-viz-7ec3313cb79e49faa4de93aa063cb570");
     }
     const paths = {
       "vega": "https://cdn.jsdelivr.net/npm/vega@5?noext",
diff --git a/docs/decorators.html b/docs/decorators.html
index d38b350..d7eba41 100644
--- a/docs/decorators.html
+++ b/docs/decorators.html
@@ -401,7 +401,7 @@ <h3 class="anchored" data-anchor-id="format">format</h3>
 OUTPUTS:
 int: 21
 ══════════════════════════════════════════════════════════════════
-[08/24/24 22:47:48] INFO     foo took 1.00 seconds to execute                                                                      d=520224;file://&lt;ipython-input-1-6ac2073623b5&gt;:47\&lt;ipython-input-1-6ac2073623b5&gt;;;\:d=291966;file://&lt;ipython-input-1-6ac2073623b5&gt;:47#wrapper:47\wrapper:47;;\</code></pre>
+[08/24/24 22:50:57] INFO     foo took 1.00 seconds to execute                                                                      d=82185;file://&lt;ipython-input-1-6ac2073623b5&gt;:47\&lt;ipython-input-1-6ac2073623b5&gt;;;\:d=712140;file://&lt;ipython-input-1-6ac2073623b5&gt;:47#wrapper:47\wrapper:47;;\</code></pre>
 </div>
 <div class="cell-output cell-output-display" data-execution_count="6">
 <pre><code>21</code></pre>
diff --git a/docs/jupyter_notebook.html b/docs/jupyter_notebook.html
index 2a6e0b0..7c9fe7f 100644
--- a/docs/jupyter_notebook.html
+++ b/docs/jupyter_notebook.html
@@ -383,7 +383,7 @@ <h3 class="anchored" data-anchor-id="show_big_dataframe">show_big_dataframe</h3>
 <h3 class="anchored" data-anchor-id="display_dfs_side_by_side">display_dfs_side_by_side</h3>
 <blockquote class="blockquote">
 <pre><code> display_dfs_side_by_side (*args, titles=&lt;itertools.cycle object at
-                           0x11ed2ad00&gt;, max_rows=50)</code></pre>
+                           0x12412ef40&gt;, max_rows=50)</code></pre>
 </blockquote>
 <hr>
 </section>
diff --git a/docs/markups.html b/docs/markups.html
index f93a47b..04955c8 100644
--- a/docs/markups.html
+++ b/docs/markups.html
@@ -459,7 +459,7 @@ <h3 class="anchored" data-anchor-id="read_json">read_json</h3>
 <span id="cb10-7"><a href="#cb10-7" aria-hidden="true" tabindex="-1"></a><span class="cf">except</span> <span class="pp">ModuleNotFoundError</span>:</span>
 <span id="cb10-8"><a href="#cb10-8" aria-hidden="true" tabindex="-1"></a>    ...</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
 <div class="cell-output cell-output-stdout">
-<pre><code>[08/24/24 22:47:47] INFO     loaded 8 lines                                                                                        d=395873;file://&lt;ipython-input-1-e6d68859b80d&gt;:6\&lt;ipython-input-1-e6d68859b80d&gt;;;\:d=446008;file://&lt;ipython-input-1-e6d68859b80d&gt;:6#&lt;module&gt;:6\&lt;module&gt;:6;;\
+<pre><code>[08/24/24 22:50:55] INFO     loaded 8 lines                                                                                        d=726449;file://&lt;ipython-input-1-e6d68859b80d&gt;:6\&lt;ipython-input-1-e6d68859b80d&gt;;;\:d=24409;file://&lt;ipython-input-1-e6d68859b80d&gt;:6#&lt;module&gt;:6\&lt;module&gt;:6;;\
 {
 "a": [
 1.0,
diff --git a/docs/misc.html b/docs/misc.html
index e5acd2e..c661c73 100644
--- a/docs/misc.html
+++ b/docs/misc.html
@@ -667,11 +667,11 @@ <h2 class="anchored" data-anchor-id="try-catch-with-a-single-line">Try Catch wit
 func - do (🏷️ str)
 args()
   0 - 1 (🏷️ int)
-  1 - 9 (🏷️ int)
+  1 - 5 (🏷️ int)
 kwargs
-  c - 73 (🏷️ int)
-tb - NotImplementedError: 🤔 (🏷️ str)
-err_type - NotImplementedError (🏷️ str)
+  c - 35 (🏷️ int)
+tb - ZeroDivisionError: division by zero (🏷️ str)
+err_type - ZeroDivisionError (🏷️ str)
 
 ```
 , 
@@ -679,9 +679,9 @@ <h2 class="anchored" data-anchor-id="try-catch-with-a-single-line">Try Catch wit
 func - do (🏷️ str)
 args()
   0 - 1 (🏷️ int)
-  1 - 0 (🏷️ int)
+  1 - 9 (🏷️ int)
 kwargs
-  c - 40 (🏷️ int)
+  c - 71 (🏷️ int)
 tb - NotImplementedError: 🤔 (🏷️ str)
 err_type - NotImplementedError (🏷️ str)
 
@@ -691,11 +691,11 @@ <h2 class="anchored" data-anchor-id="try-catch-with-a-single-line">Try Catch wit
 func - do (🏷️ str)
 args()
   0 - 1 (🏷️ int)
-  1 - 3 (🏷️ int)
+  1 - 10 (🏷️ int)
 kwargs
-  c - 26 (🏷️ int)
-tb - ZeroDivisionError: division by zero (🏷️ str)
-err_type - ZeroDivisionError (🏷️ str)
+  c - 2 (🏷️ int)
+tb - NotImplementedError: 🤔 (🏷️ str)
+err_type - NotImplementedError (🏷️ str)
 
 ```
 , 
@@ -703,11 +703,11 @@ <h2 class="anchored" data-anchor-id="try-catch-with-a-single-line">Try Catch wit
 func - do (🏷️ str)
 args()
   0 - 1 (🏷️ int)
-  1 - 3 (🏷️ int)
+  1 - 4 (🏷️ int)
 kwargs
-  c - 88 (🏷️ int)
-tb - ZeroDivisionError: division by zero (🏷️ str)
-err_type - ZeroDivisionError (🏷️ str)
+  c - 17 (🏷️ int)
+tb - NotImplementedError: 🤔 (🏷️ str)
+err_type - NotImplementedError (🏷️ str)
 
 ```
 ]</code></pre>
diff --git a/docs/search.json b/docs/search.json
index 59fdbcd..c57133e 100644
--- a/docs/search.json
+++ b/docs/search.json
@@ -204,7 +204,7 @@
     "href": "decorators.html",
     "title": "Decorator Utilites",
     "section": "",
-    "text": "check_kwargs_not_none\n\n check_kwargs_not_none (func)\n\n*A decorator that checks if any keyword argument is None. Raises a ValueError if any argument is None.\nArgs: func: The function to be decorated.\nReturns: The decorated function.\nRaises: ValueError: If any keyword argument is None.*\n\n\n\nio\n\n io (func)\n\n*A decorator that inspects the inputs and outputs of a function.\nArgs: func: The function to be decorated.\nReturns: The decorated function.*\n\n\n\ntimeit\n\n timeit (func)\n\n*A decorator that measures the execution time of a function.\nArgs: func (callable): The function to be timed.\nReturns: callable: The wrapped function.\nExample: @timeit def my_function(): # code to be timed pass\nmy_function()  # prints the execution time of my_function*\n\n\n\nwarn_on_fail\n\n warn_on_fail (func)\n\n\n\n\nformat\n\n format (input)\n\n\n@timeit\n@io\ndef foo(a, b):\n    \"\"\"\n    This function takes two arguments, `a` and `b`, and returns their sum.\n\n    Parameters:\n    a (int): The first number.\n    b (int): The second number.\n\n    Returns:\n    int: The sum of `a` and `b`.\n    \"\"\"\n    import time\n\n    time.sleep(1)\n    return a + b\n\n\nfoo(10, 11)\n\n══════════════════════════════════════════════════════════════════\nINPUTS:ARGS:\ntuple of 2 items\n    int: 10\n    int: 11\n══════════════════════════════════════════════════════════════════\n══════════════════════════════════════════════════════════════════\nOUTPUTS:\nint: 21\n══════════════════════════════════════════════════════════════════\n[08/24/24 22:47:48] INFO     foo took 1.00 seconds to execute                                                                      d=520224;file://&lt;ipython-input-1-6ac2073623b5&gt;:47\u001b\\&lt;ipython-input-1-6ac2073623b5&gt;;;\u001b\\:d=291966;file://&lt;ipython-input-1-6ac2073623b5&gt;:47#wrapper:47\u001b\\wrapper:47;;\u001b\\\n\n\n21\n\n\n\n@check_kwargs_not_none\n@io\ndef foo(*, a=None, b=None):\n    return a + b\n\n\nfoo(a=None, b=10)\n\n\n---------------------------------------------------------------------------\nValueError                                Traceback (most recent call last)\nCell In[34], line 6\n      1 @check_kwargs_not_none\n      2 @io\n      3 def foo(*, a=None, b=None):\n      4     return a + b\n----&gt; 6 foo(a=None, b=10)\n\nCell In[32], line 32, in check_kwargs_not_none.&lt;locals&gt;.wrapper(*args, **kwargs)\n     30 for key, value in kwargs.items():\n     31     if value is None:\n---&gt; 32         raise ValueError(f\"Input argument '{key}' cannot be None\")\n     33 return func(*args, **kwargs)\n\nValueError: Input argument 'a' cannot be None\n\n\n\n\nimport nbdev\n\nnbdev.nbdev_export()",
+    "text": "check_kwargs_not_none\n\n check_kwargs_not_none (func)\n\n*A decorator that checks if any keyword argument is None. Raises a ValueError if any argument is None.\nArgs: func: The function to be decorated.\nReturns: The decorated function.\nRaises: ValueError: If any keyword argument is None.*\n\n\n\nio\n\n io (func)\n\n*A decorator that inspects the inputs and outputs of a function.\nArgs: func: The function to be decorated.\nReturns: The decorated function.*\n\n\n\ntimeit\n\n timeit (func)\n\n*A decorator that measures the execution time of a function.\nArgs: func (callable): The function to be timed.\nReturns: callable: The wrapped function.\nExample: @timeit def my_function(): # code to be timed pass\nmy_function()  # prints the execution time of my_function*\n\n\n\nwarn_on_fail\n\n warn_on_fail (func)\n\n\n\n\nformat\n\n format (input)\n\n\n@timeit\n@io\ndef foo(a, b):\n    \"\"\"\n    This function takes two arguments, `a` and `b`, and returns their sum.\n\n    Parameters:\n    a (int): The first number.\n    b (int): The second number.\n\n    Returns:\n    int: The sum of `a` and `b`.\n    \"\"\"\n    import time\n\n    time.sleep(1)\n    return a + b\n\n\nfoo(10, 11)\n\n══════════════════════════════════════════════════════════════════\nINPUTS:ARGS:\ntuple of 2 items\n    int: 10\n    int: 11\n══════════════════════════════════════════════════════════════════\n══════════════════════════════════════════════════════════════════\nOUTPUTS:\nint: 21\n══════════════════════════════════════════════════════════════════\n[08/24/24 22:50:57] INFO     foo took 1.00 seconds to execute                                                                      d=82185;file://&lt;ipython-input-1-6ac2073623b5&gt;:47\u001b\\&lt;ipython-input-1-6ac2073623b5&gt;;;\u001b\\:d=712140;file://&lt;ipython-input-1-6ac2073623b5&gt;:47#wrapper:47\u001b\\wrapper:47;;\u001b\\\n\n\n21\n\n\n\n@check_kwargs_not_none\n@io\ndef foo(*, a=None, b=None):\n    return a + b\n\n\nfoo(a=None, b=10)\n\n\n---------------------------------------------------------------------------\nValueError                                Traceback (most recent call last)\nCell In[34], line 6\n      1 @check_kwargs_not_none\n      2 @io\n      3 def foo(*, a=None, b=None):\n      4     return a + b\n----&gt; 6 foo(a=None, b=10)\n\nCell In[32], line 32, in check_kwargs_not_none.&lt;locals&gt;.wrapper(*args, **kwargs)\n     30 for key, value in kwargs.items():\n     31     if value is None:\n---&gt; 32         raise ValueError(f\"Input argument '{key}' cannot be None\")\n     33 return func(*args, **kwargs)\n\nValueError: Input argument 'a' cannot be None\n\n\n\n\nimport nbdev\n\nnbdev.nbdev_export()",
     "crumbs": [
       "Decorator Utilites"
     ]
@@ -214,7 +214,7 @@
     "href": "markups.html",
     "title": "Markups",
     "section": "",
-    "text": "AttrDict\n\n AttrDict (*args, given_input_to_ad=None, **kwargs)\n\n*Utility class to interact with a dictionary as if it were an object. AD is an alias to this class\nFEATURES: 0. Access and modify keys (including nested keys) as if they were object attributes, supporting tab-completion. Example: self.key1.key2[0].key3 1. Keys and values are recursively converted to AttrDict instances. 2. Pretty-print the dictionary using print. 3. Convert the entire structure to a regular dictionary at any time using self.to_dict() / self.dict(). 3. Recursively remove keys using self.drop(key) from a JSON object. 4. Apply a function to all values at all levels using map.\nGOTCHAS: 1. All integer keys are implicitly converted to strings due to the enforced self.key format. 2. You can still use self[int], but this internally converts the integer to a string.\nMETHODS: - items(): Return the items of the AttrDict as key-value pairs. - keys(): Return the keys of the AttrDict. - values(): Return the values of the AttrDict. - update(dict): Update the AttrDict with key-value pairs from another dictionary. - get(key, default=None): Get the value associated with a key, with an optional default value. - __iter__(): Allow iteration over the keys of the AttrDict. - __len__(): Return the number of keys in the AttrDict. - __repr__(): Return a string representation of the AttrDict. - __dir__(): List the keys of the AttrDict as attributes. - __contains__(key): Check if a key exists in the AttrDict, use ‘a.b.c’ notation to directly check for a nested attribute. - __delitem__(key): Delete a key from the AttrDict. - map(func): Apply a function to all values in the AttrDict. - drop(key): Recursively remove a key and its values from the AttrDict. - to_dict(): Convert the AttrDict and its nested structure to a regular dictionary. - pretty(print_with_logger=False, *args, **kwargs): Pretty-print the AttrDict as JSON. - __eq__(other): Compare the AttrDict with another dictionary for equality. - find_address(key, current_path=\"\"): Find and return all addresses (paths) of a given key in the AttrDict. - summary(current_path='', summary_str='', depth=0, sep='  '): Generate a summary of the structure and values in the AttrDict. - write_summary(to, **kwargs): Write the summary to a file or stream. - fetch(addr): Retrieve a value at a specified address (path).\nPARAMETERS: - data (dict, optional): Initial data to populate the AttrDict.\nUSAGE: - Create an AttrDict instance by providing an optional initial dictionary, and then access and manipulate its contents as if they were object attributes.\nEXAMPLE:\nmy_dict = {'name': 'John', 'age': 30, 'address': {'city': 'New York', 'zip': '10001'}}\nattr_dict = AttrDict(my_dict)\nprint(attr_dict.name)  # Access values like attributes\nattr_dict.address.city = 'Los Angeles'  # Modify nested values\n```*\n\n\n::: {#bfb4146f-90bf-42bc-bf40-69fb6d612ea2 .cell tags='[]' execution_count=5}\n``` {.python .cell-code}\nxx = AttrDict({\"a\": 1, \"b\": [{\"c\": 2, \"d\": 4}, {\"e\": 3}], \"f\": {\"g\": {\"h\": 20}}})\nprint(type(xx.b[0]))\nprint(type(xx.to_dict()[\"b\"][0]))\nprint(\"f.g.h\" in xx)\nxx.pretty()\n\n&lt;class 'torch_snippets.markup2.AttrDict'&gt;\n&lt;class 'dict'&gt;\nTrue\n{\n    \"a\": 1,\n    \"b\": [\n        {\n            \"c\": 2,\n            \"d\": 4\n        },\n        {\n            \"e\": 3\n        }\n    ],\n    \"f\": {\n        \"g\": {\n            \"h\": 20\n        }\n    }\n}\n\n:::\n\nx = {\"abc\": {\"b\": 10, \"c\": 11}, \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234]}}}\n\ny = AttrDict(x)\n\nassert y.abc.b == 10\nassert y.d.e.f == [2, {\"abc\": \"pqrs\"}, 2.234]\n\ny.d.e.g = 11\n\n# del y.abc.c\n# OR\ndel y[\"abc\"][\"c\"]\n\nassert y.to_dict() == {\n    \"abc\": {\"b\": 10},\n    \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234], \"g\": 11}},\n}\n\ny.pretty(indent=2)\n\nassert \"abc\" in y\nassert \"def\" not in y\nprint(\"e\" in y.d)\n\n{\n  \"abc\": {\n    \"b\": 10\n  },\n  \"d\": {\n    \"e\": {\n      \"f\": [\n        2,\n        {\n          \"abc\": \"pqrs\"\n        },\n        2.234\n      ],\n      \"g\": 11\n    }\n  }\n}\nTrue\n\n\n\nx = {\"abc\": {\"b\": 10, \"c\": 11}, \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234]}}}\ny = AttrDict(x)\ny.abc[[\"b\", \"c\"]]\n\n\n```↯ AttrDict ↯\nb - 10 (🏷️ int)\nc - 11 (🏷️ int)\n\n```\n\n\n\n\n\nwrite_json\n\n write_json (obj, fpath, silent=False)\n\n\n\n\nread_json\n\n read_json (fpath)\n\n\ntry:\n    import torch\n\n    d = AD(a=torch.Tensor([1, 2, 3]), b=\"hello\")\n    write_json(d, \"/tmp/tmp.json\")\n    print(\"\\n\".join(readlines(\"/tmp/tmp.json\")))\nexcept ModuleNotFoundError:\n    ...\n\n[08/24/24 22:47:47] INFO     loaded 8 lines                                                                                        d=395873;file://&lt;ipython-input-1-e6d68859b80d&gt;:6\u001b\\&lt;ipython-input-1-e6d68859b80d&gt;;;\u001b\\:d=446008;file://&lt;ipython-input-1-e6d68859b80d&gt;:6#&lt;module&gt;:6\u001b\\&lt;module&gt;:6;;\u001b\\\n{\n\"a\": [\n1.0,\n2.0,\n3.0\n],\n\"b\": \"hello\"\n}\n\n\n\nd = [1, {1: 1, 2: 2}, 3]\n\npretty_json({1: 1, 2: 2})\npretty_json(d)\n\nf = write_json(d, \"/tmp/test.json\")\nprint(f)\nread_json(f)\n\n/tmp/test.json\n\n\n[1, {'1': 1, '2': 2}, 3]\n\n\n\n\n\nread_jsonl\n\n read_jsonl (file)\n\n\n\n\nwrite_jsonl\n\n write_jsonl (items, dest, mode='a')\n\n\n\n\nwrite_yaml\n\n write_yaml (content, fpath)\n\n\n\n\nread_yaml\n\n read_yaml (file)\n\n\n\n\nwrite_xml\n\n write_xml (data:Union[torch_snippets.markup2.AttrDict,dict],\n            file_path:Union[str,pathlib.Path])\n\n\n\n\nread_xml\n\n read_xml (file_path:Union[str,pathlib.Path])\n\nRead xml data as a dictionary\n\ny.to_dict()\n\n{'abc': {'b': 10, 'c': 11}, 'd': {'e': {'f': [2, {'abc': 'pqrs'}, 2.234]}}}\n\n\n\ny\n\n\n```↯ AttrDict ↯\nabc\n  b - 10 (🏷️ int)\n  c - 11 (🏷️ int)\nd\n  e\n    f\n      0 - 2 (🏷️ int)\n      1\n        abc - pqrs (🏷️ str)\n      2 - 2.234 (🏷️ float)\n\n```",
+    "text": "AttrDict\n\n AttrDict (*args, given_input_to_ad=None, **kwargs)\n\n*Utility class to interact with a dictionary as if it were an object. AD is an alias to this class\nFEATURES: 0. Access and modify keys (including nested keys) as if they were object attributes, supporting tab-completion. Example: self.key1.key2[0].key3 1. Keys and values are recursively converted to AttrDict instances. 2. Pretty-print the dictionary using print. 3. Convert the entire structure to a regular dictionary at any time using self.to_dict() / self.dict(). 3. Recursively remove keys using self.drop(key) from a JSON object. 4. Apply a function to all values at all levels using map.\nGOTCHAS: 1. All integer keys are implicitly converted to strings due to the enforced self.key format. 2. You can still use self[int], but this internally converts the integer to a string.\nMETHODS: - items(): Return the items of the AttrDict as key-value pairs. - keys(): Return the keys of the AttrDict. - values(): Return the values of the AttrDict. - update(dict): Update the AttrDict with key-value pairs from another dictionary. - get(key, default=None): Get the value associated with a key, with an optional default value. - __iter__(): Allow iteration over the keys of the AttrDict. - __len__(): Return the number of keys in the AttrDict. - __repr__(): Return a string representation of the AttrDict. - __dir__(): List the keys of the AttrDict as attributes. - __contains__(key): Check if a key exists in the AttrDict, use ‘a.b.c’ notation to directly check for a nested attribute. - __delitem__(key): Delete a key from the AttrDict. - map(func): Apply a function to all values in the AttrDict. - drop(key): Recursively remove a key and its values from the AttrDict. - to_dict(): Convert the AttrDict and its nested structure to a regular dictionary. - pretty(print_with_logger=False, *args, **kwargs): Pretty-print the AttrDict as JSON. - __eq__(other): Compare the AttrDict with another dictionary for equality. - find_address(key, current_path=\"\"): Find and return all addresses (paths) of a given key in the AttrDict. - summary(current_path='', summary_str='', depth=0, sep='  '): Generate a summary of the structure and values in the AttrDict. - write_summary(to, **kwargs): Write the summary to a file or stream. - fetch(addr): Retrieve a value at a specified address (path).\nPARAMETERS: - data (dict, optional): Initial data to populate the AttrDict.\nUSAGE: - Create an AttrDict instance by providing an optional initial dictionary, and then access and manipulate its contents as if they were object attributes.\nEXAMPLE:\nmy_dict = {'name': 'John', 'age': 30, 'address': {'city': 'New York', 'zip': '10001'}}\nattr_dict = AttrDict(my_dict)\nprint(attr_dict.name)  # Access values like attributes\nattr_dict.address.city = 'Los Angeles'  # Modify nested values\n```*\n\n\n::: {#bfb4146f-90bf-42bc-bf40-69fb6d612ea2 .cell tags='[]' execution_count=5}\n``` {.python .cell-code}\nxx = AttrDict({\"a\": 1, \"b\": [{\"c\": 2, \"d\": 4}, {\"e\": 3}], \"f\": {\"g\": {\"h\": 20}}})\nprint(type(xx.b[0]))\nprint(type(xx.to_dict()[\"b\"][0]))\nprint(\"f.g.h\" in xx)\nxx.pretty()\n\n&lt;class 'torch_snippets.markup2.AttrDict'&gt;\n&lt;class 'dict'&gt;\nTrue\n{\n    \"a\": 1,\n    \"b\": [\n        {\n            \"c\": 2,\n            \"d\": 4\n        },\n        {\n            \"e\": 3\n        }\n    ],\n    \"f\": {\n        \"g\": {\n            \"h\": 20\n        }\n    }\n}\n\n:::\n\nx = {\"abc\": {\"b\": 10, \"c\": 11}, \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234]}}}\n\ny = AttrDict(x)\n\nassert y.abc.b == 10\nassert y.d.e.f == [2, {\"abc\": \"pqrs\"}, 2.234]\n\ny.d.e.g = 11\n\n# del y.abc.c\n# OR\ndel y[\"abc\"][\"c\"]\n\nassert y.to_dict() == {\n    \"abc\": {\"b\": 10},\n    \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234], \"g\": 11}},\n}\n\ny.pretty(indent=2)\n\nassert \"abc\" in y\nassert \"def\" not in y\nprint(\"e\" in y.d)\n\n{\n  \"abc\": {\n    \"b\": 10\n  },\n  \"d\": {\n    \"e\": {\n      \"f\": [\n        2,\n        {\n          \"abc\": \"pqrs\"\n        },\n        2.234\n      ],\n      \"g\": 11\n    }\n  }\n}\nTrue\n\n\n\nx = {\"abc\": {\"b\": 10, \"c\": 11}, \"d\": {\"e\": {\"f\": [2, {\"abc\": \"pqrs\"}, 2.234]}}}\ny = AttrDict(x)\ny.abc[[\"b\", \"c\"]]\n\n\n```↯ AttrDict ↯\nb - 10 (🏷️ int)\nc - 11 (🏷️ int)\n\n```\n\n\n\n\n\nwrite_json\n\n write_json (obj, fpath, silent=False)\n\n\n\n\nread_json\n\n read_json (fpath)\n\n\ntry:\n    import torch\n\n    d = AD(a=torch.Tensor([1, 2, 3]), b=\"hello\")\n    write_json(d, \"/tmp/tmp.json\")\n    print(\"\\n\".join(readlines(\"/tmp/tmp.json\")))\nexcept ModuleNotFoundError:\n    ...\n\n[08/24/24 22:50:55] INFO     loaded 8 lines                                                                                        d=726449;file://&lt;ipython-input-1-e6d68859b80d&gt;:6\u001b\\&lt;ipython-input-1-e6d68859b80d&gt;;;\u001b\\:d=24409;file://&lt;ipython-input-1-e6d68859b80d&gt;:6#&lt;module&gt;:6\u001b\\&lt;module&gt;:6;;\u001b\\\n{\n\"a\": [\n1.0,\n2.0,\n3.0\n],\n\"b\": \"hello\"\n}\n\n\n\nd = [1, {1: 1, 2: 2}, 3]\n\npretty_json({1: 1, 2: 2})\npretty_json(d)\n\nf = write_json(d, \"/tmp/test.json\")\nprint(f)\nread_json(f)\n\n/tmp/test.json\n\n\n[1, {'1': 1, '2': 2}, 3]\n\n\n\n\n\nread_jsonl\n\n read_jsonl (file)\n\n\n\n\nwrite_jsonl\n\n write_jsonl (items, dest, mode='a')\n\n\n\n\nwrite_yaml\n\n write_yaml (content, fpath)\n\n\n\n\nread_yaml\n\n read_yaml (file)\n\n\n\n\nwrite_xml\n\n write_xml (data:Union[torch_snippets.markup2.AttrDict,dict],\n            file_path:Union[str,pathlib.Path])\n\n\n\n\nread_xml\n\n read_xml (file_path:Union[str,pathlib.Path])\n\nRead xml data as a dictionary\n\ny.to_dict()\n\n{'abc': {'b': 10, 'c': 11}, 'd': {'e': {'f': [2, {'abc': 'pqrs'}, 2.234]}}}\n\n\n\ny\n\n\n```↯ AttrDict ↯\nabc\n  b - 10 (🏷️ int)\n  c - 11 (🏷️ int)\nd\n  e\n    f\n      0 - 2 (🏷️ int)\n      1\n        abc - pqrs (🏷️ str)\n      2 - 2.234 (🏷️ float)\n\n```",
     "crumbs": [
       "Markups"
     ]
@@ -234,7 +234,7 @@
     "href": "sklegos.html",
     "title": "SK-Legos",
     "section": "",
-    "text": "SK-Legos\nUtilities to do common ML tasks\n\nYou can find 1. train_test_split which also resets the dataframes’ indexes 2. MakeFrame 3. ImputeMisingValues 4. Cat2Num 5. Other scikit-lego blocks that I use a lot\n\n\nMakeFrame\n\n MakeFrame (column_names)\n\nConvert sklearn’s output to a pandas dataframe Especially useful when working with an ensemble of models\nUsage\nCall MakeFrame as the last component in your pipeline with the desired column names.\npipeline = Pipeline([\n    ...,\n    ('output', MakeFrame(['outlier', 'class'])),\n])\n\nRefer to this notebook for an example\n\n\n\n\nImputeMissingValues\n\n ImputeMissingValues (num_mode=&lt;function mean at 0x111a83230&gt;,\n                      cat_mode='MISSING')\n\n*DataFrame input - DataFrame output During fit - 1. Store imputable value for each column During transform - 2. Impute missing values with imputable value 3. Create a ’{col}_na’ boolean column to tell if cells contained missing value*\n\n\n\nLambdaTransformer\n\n LambdaTransformer (fn)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nMakeFrame\n\n MakeFrame (column_names)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nCat2Num\n\n Cat2Num ()\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nSplitDateColumn\n\n SplitDateColumn (column_names, has_date, has_time, date_format=None)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*",
+    "text": "SK-Legos\nUtilities to do common ML tasks\n\nYou can find 1. train_test_split which also resets the dataframes’ indexes 2. MakeFrame 3. ImputeMisingValues 4. Cat2Num 5. Other scikit-lego blocks that I use a lot\n\n\nMakeFrame\n\n MakeFrame (column_names)\n\nConvert sklearn’s output to a pandas dataframe Especially useful when working with an ensemble of models\nUsage\nCall MakeFrame as the last component in your pipeline with the desired column names.\npipeline = Pipeline([\n    ...,\n    ('output', MakeFrame(['outlier', 'class'])),\n])\n\nRefer to this notebook for an example\n\n\n\n\nImputeMissingValues\n\n ImputeMissingValues (num_mode=&lt;function mean at 0x11225b3f0&gt;,\n                      cat_mode='MISSING')\n\n*DataFrame input - DataFrame output During fit - 1. Store imputable value for each column During transform - 2. Impute missing values with imputable value 3. Create a ’{col}_na’ boolean column to tell if cells contained missing value*\n\n\n\nLambdaTransformer\n\n LambdaTransformer (fn)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nMakeFrame\n\n MakeFrame (column_names)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nCat2Num\n\n Cat2Num ()\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*\n\n\n\nSplitDateColumn\n\n SplitDateColumn (column_names, has_date, has_time, date_format=None)\n\n*Base class for all estimators in scikit-learn.\nInheriting from this class provides default implementations of:\n\nsetting and getting parameters used by GridSearchCV and friends;\ntextual and HTML representation displayed in terminals and IDEs;\nestimator serialization;\nparameters validation;\ndata validation;\nfeature names validation.\n\nRead more in the :ref:User Guide &lt;rolling_your_own_estimator&gt;.*",
     "crumbs": [
       "SK-Legos"
     ]
@@ -274,7 +274,7 @@
     "href": "jupyter_notebook.html",
     "title": "Jupyter Notebooks",
     "section": "",
-    "text": "backup_folders_of_nbs\n\n backup_folders_of_nbs (src, dest)\n\n\n\n\nbackup_all_notebooks\n\n backup_all_notebooks (folder)\n\n\n\n\nbackup_this_notebook\n\n backup_this_notebook (this_file_path, save_html_to_dir=None,\n                       override_previous_backup=False, changelog=None,\n                       exclude_input=False, force_save_notebook=True)\n\n\n\n\nsave_notebook\n\n save_notebook (file_path)\n\n\nbackup_this_notebook(\"jupyter_notebook.ipynb\")\n\n\n\n\nshow_big_dataframe\n\n show_big_dataframe (df, max_rows=30)\n\n\n\n\ndisplay_dfs_side_by_side\n\n display_dfs_side_by_side (*args, titles=&lt;itertools.cycle object at\n                           0x11ed2ad00&gt;, max_rows=50)\n\n\n\n\nh6\n\n h6 (text)\n\n\n\n\nh5\n\n h5 (text)\n\n\n\n\nh4\n\n h4 (text)\n\n\n\n\nh3\n\n h3 (text)\n\n\n\n\nh2\n\n h2 (text)\n\n\n\n\nh1\n\n h1 (text)\n\n\n\n\nstore_scrap\n\n store_scrap (at)\n\n\n\n\nshutdown_current_notebook\n\n shutdown_current_notebook (delay:int=None)",
+    "text": "backup_folders_of_nbs\n\n backup_folders_of_nbs (src, dest)\n\n\n\n\nbackup_all_notebooks\n\n backup_all_notebooks (folder)\n\n\n\n\nbackup_this_notebook\n\n backup_this_notebook (this_file_path, save_html_to_dir=None,\n                       override_previous_backup=False, changelog=None,\n                       exclude_input=False, force_save_notebook=True)\n\n\n\n\nsave_notebook\n\n save_notebook (file_path)\n\n\nbackup_this_notebook(\"jupyter_notebook.ipynb\")\n\n\n\n\nshow_big_dataframe\n\n show_big_dataframe (df, max_rows=30)\n\n\n\n\ndisplay_dfs_side_by_side\n\n display_dfs_side_by_side (*args, titles=&lt;itertools.cycle object at\n                           0x12412ef40&gt;, max_rows=50)\n\n\n\n\nh6\n\n h6 (text)\n\n\n\n\nh5\n\n h5 (text)\n\n\n\n\nh4\n\n h4 (text)\n\n\n\n\nh3\n\n h3 (text)\n\n\n\n\nh2\n\n h2 (text)\n\n\n\n\nh1\n\n h1 (text)\n\n\n\n\nstore_scrap\n\n store_scrap (at)\n\n\n\n\nshutdown_current_notebook\n\n shutdown_current_notebook (delay:int=None)",
     "crumbs": [
       "Jupyter Notebooks"
     ]
@@ -334,7 +334,7 @@
     "href": "misc.html#try-catch-with-a-single-line",
     "title": "Miscellaneous",
     "section": "Try Catch with a single line",
-    "text": "Try Catch with a single line\n\n@tryy\ndef do(a, b, c):\n    return 1 / 0\n\n\nx = do(1, 2, c=10)\nassert x is None  # tryy returns None by default\n\n[08/24/24 12:46:28] ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdd800&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/884313129.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy                                                                                                            │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 x = do(1, 2, c=10)                                                                                               │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\nUse your own default on failure\n\n@tryy(output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n                    ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdeac0&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/3352784188.py\", line 3, in do                                         \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy(output_to_return_on_fail=\"😔\")                                                                             │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 do(1, 2, c=10)                                                                                                   │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\n'😔'\n\n\nOptionally print the full stacktrace if needed\n\n@tryy(print_traceback=True, output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n                    ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        ^^^^^^^^^^^^^^^^^^                                                                                                                  \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/580638143.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                        ~~^~~                                                                                                                               \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdeb60&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/580638143.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy(print_traceback=True, output_to_return_on_fail=\"😔\")                                                       │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 do(1, 2, c=10)                                                                                                   │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\n'😔'\n\n\nYou can also silence the errors completely\n\n@tryy(silence_errors=True, output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n'😔'\n\n\nYou can collect all your errors in a list\n\nimport random\n\nerrors = []\n\n\n@tryy(silence_errors=True, store_errors=errors)\ndef do(a, b, c):\n    if random.randint(0, 100) &lt; 50:\n        return 1 / 0\n    else:\n        raise NotImplementedError(\"🤔\")\n\n\nfor _ in range(4):\n    do(1, random.randint(0, 10), c=random.randint(0, 100))\n\nprint(errors)\n\n[\n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 9 (🏷️ int)\nkwargs\n  c - 73 (🏷️ int)\ntb - NotImplementedError: 🤔 (🏷️ str)\nerr_type - NotImplementedError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 0 (🏷️ int)\nkwargs\n  c - 40 (🏷️ int)\ntb - NotImplementedError: 🤔 (🏷️ str)\nerr_type - NotImplementedError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 3 (🏷️ int)\nkwargs\n  c - 26 (🏷️ int)\ntb - ZeroDivisionError: division by zero (🏷️ str)\nerr_type - ZeroDivisionError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 3 (🏷️ int)\nkwargs\n  c - 88 (🏷️ int)\ntb - ZeroDivisionError: division by zero (🏷️ str)\nerr_type - ZeroDivisionError (🏷️ str)\n\n```\n]\n\n\nThere’s onlly one usecase where you would want to send in a list by yourself - when you want to append your errors to an existing list. The sensible default is to always store the errors, especially because this is a debugging tool.\nJust access all the errors in a dataframe like so\n\nimport random\n\nrandom.seed(10)\n\n\n@tryy(silence_errors=True)\ndef do(a, b, c):\n    if c &lt; 50:\n        return 1 / 0\n    else:\n        raise NotImplementedError(\"🤔\")\n\n\nfor _ in range(4):\n    do(1, random.randint(0, 10), c=random.randint(0, 100))\n\ndo.error_summary()\n\n\n\n\n\n\n\n\nfunc\nargs\nkwargs\ntb\nerr_type\n\n\n\n\n0\ndo\n[1, 9]\n{'c': 4}\nZeroDivisionError: division by zero\nZeroDivisionError\n\n\n1\ndo\n[1, 6]\n{'c': 61}\nNotImplementedError: 🤔\nNotImplementedError\n\n\n2\ndo\n[1, 9]\n{'c': 1}\nZeroDivisionError: division by zero\nZeroDivisionError\n\n\n3\ndo\n[1, 3]\n{'c': 59}\nNotImplementedError: 🤔\nNotImplementedError\n\n\n\n\n\n\n\nand the actual list of errors like so\n\ndo.error_store\n\n[\n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 9 (🏷️ int)\n kwargs\n   c - 4 (🏷️ int)\n tb - ZeroDivisionError: division by zero (🏷️ str)\n err_type - ZeroDivisionError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 6 (🏷️ int)\n kwargs\n   c - 61 (🏷️ int)\n tb - NotImplementedError: 🤔 (🏷️ str)\n err_type - NotImplementedError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 9 (🏷️ int)\n kwargs\n   c - 1 (🏷️ int)\n tb - ZeroDivisionError: division by zero (🏷️ str)\n err_type - ZeroDivisionError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 3 (🏷️ int)\n kwargs\n   c - 59 (🏷️ int)\n tb - NotImplementedError: 🤔 (🏷️ str)\n err_type - NotImplementedError (🏷️ str)\n \n ```]\n\n\nFinally, you want to run the function (without try) to reproduce the error and actually start debugging. Just use the .F attribute to access the original function that you created\n\nix = 2\ndata = do.error_store[ix]\ndo.F(*data.args, **data.kwargs)\n\n\n---------------------------------------------------------------------------\nZeroDivisionError                         Traceback (most recent call last)\nCell In[19], line 3\n      1 ix = 2\n      2 data = do.error_store[ix]\n----&gt; 3 do.F(*data.args, **data.kwargs)\n\nCell In[17], line 9, in do(a, b, c)\n      6 @tryy(silence_errors=True)\n      7 def do(a, b, c):\n      8     if c &lt; 50:\n----&gt; 9         return 1 / 0\n     10     else:\n     11         raise NotImplementedError(\"🤔\")\n\nZeroDivisionError: division by zero\n\n\n\n\ndef deco(decorator):\n    @wraps(decorator)\n    def wrapper(*args, **kwargs):\n        def real_decorator(func):\n            @wraps(func)\n            def inner_wrapper(*fargs, **fkwargs):\n                return decorator(func, *fargs, **fkwargs)\n\n            return inner_wrapper\n\n        if len(args) == 1 and callable(args[0]) and not kwargs:\n            # Case when B is used without arguments\n            return real_decorator(args[0])\n        else:\n            # Case when B is used with arguments\n            def custom_decorator(func):\n                return decorator(func, **kwargs)\n\n            return custom_decorator\n\n    return wrapper\n\n\n@deco\ndef B(func, *args, deco_param=\"default\", **kwargs):\n    print(\"B\", deco_param, print(\"args\", *args, \"kwargs\", **kwargs))\n    return func(*args, **kwargs)\n\n\n@B\ndef C(a, b, c):\n    print(\"C\")\n    return a + (b * c)\n\n\nC(1, 2, 3)\n\n\n@B(deco_param=\"new_param\")\ndef C(a, b, c):\n    return a + (b * c)\n\n\n# Testing\nprint(C(1, 2, 3))  # Outputs 'new_param' then the result 7",
+    "text": "Try Catch with a single line\n\n@tryy\ndef do(a, b, c):\n    return 1 / 0\n\n\nx = do(1, 2, c=10)\nassert x is None  # tryy returns None by default\n\n[08/24/24 12:46:28] ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdd800&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/884313129.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy                                                                                                            │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 x = do(1, 2, c=10)                                                                                               │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\nUse your own default on failure\n\n@tryy(output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n                    ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdeac0&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/3352784188.py\", line 3, in do                                         \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy(output_to_return_on_fail=\"😔\")                                                                             │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 do(1, 2, c=10)                                                                                                   │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\n'😔'\n\n\nOptionally print the full stacktrace if needed\n\n@tryy(print_traceback=True, output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n                    ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n                             args()                                                                                                                                         \n                               0 - 1 (🏷️ int)                                                                                                                                \n                               1 - 2 (🏷️ int)                                                                                                                                \n                             kwargs                                                                                                                                         \n                               c - 10 (🏷️ int)                                                                                                                               \n                                                                                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        ^^^^^^^^^^^^^^^^^^                                                                                                                  \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/580638143.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                        ~~^~~                                                                                                                               \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             Traceback (most recent call last):                                                                                                             \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/1057038067.py\", line 21, in inner                                     \n                                 return f(*args, **kwargs)                                                                                                                  \n                                        |  |       -&gt; {'c': 10}                                                                                                             \n                                        |  -&gt; (1, 2)                                                                                                                        \n                                        -&gt; &lt;function do at 0x11ecdeb60&gt;                                                                                                     \n                                                                                                                                                                            \n                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_45033/580638143.py\", line 3, in do                                          \n                                 return 1 / 0                                                                                                                               \n                                                                                                                                                                            \n                             ZeroDivisionError: division by zero                                                                                                            \n                                                                                                                                                                            \n                             ╭───────────────────────────────────────── Traceback (most recent call last) ──────────────────────────────────────────╮                       \n                             │ in inner:21                                                                                                          │                       \n                             │                                                                                                                      │                       \n                             │   18 │   │                                                                                                           │                       \n                             │   19 │   │   def inner(*args, **kwargs):                                                                             │                       \n                             │   20 │   │   │   try:                                                                                                │                       \n                             │ ❱ 21 │   │   │   │   return f(*args, **kwargs)                                                                       │                       \n                             │   22 │   │   │   except Exception as e:                                                                              │                       \n                             │   23 │   │   │   │   if not print_traceback:                                                                         │                       \n                             │   24 │   │   │   │   │   tb = f\"{type(e).__name__}: {str(e)}\"                                                        │                       \n                             │                                                                                                                      │                       \n                             │ in do:3                                                                                                              │                       \n                             │                                                                                                                      │                       \n                             │   1 @tryy(print_traceback=True, output_to_return_on_fail=\"😔\")                                                       │                       \n                             │   2 def do(a, b, c):                                                                                                 │                       \n                             │ ❱ 3 │   return 1 / 0                                                                                                 │                       \n                             │   4                                                                                                                  │                       \n                             │   5                                                                                                                  │                       \n                             │   6 do(1, 2, c=10)                                                                                                   │                       \n                             ╰──────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯                       \n                             ZeroDivisionError: division by zero                                                                                                            \n\n\n\n'😔'\n\n\nYou can also silence the errors completely\n\n@tryy(silence_errors=True, output_to_return_on_fail=\"😔\")\ndef do(a, b, c):\n    return 1 / 0\n\n\ndo(1, 2, c=10)\n\n'😔'\n\n\nYou can collect all your errors in a list\n\nimport random\n\nerrors = []\n\n\n@tryy(silence_errors=True, store_errors=errors)\ndef do(a, b, c):\n    if random.randint(0, 100) &lt; 50:\n        return 1 / 0\n    else:\n        raise NotImplementedError(\"🤔\")\n\n\nfor _ in range(4):\n    do(1, random.randint(0, 10), c=random.randint(0, 100))\n\nprint(errors)\n\n[\n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 5 (🏷️ int)\nkwargs\n  c - 35 (🏷️ int)\ntb - ZeroDivisionError: division by zero (🏷️ str)\nerr_type - ZeroDivisionError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 9 (🏷️ int)\nkwargs\n  c - 71 (🏷️ int)\ntb - NotImplementedError: 🤔 (🏷️ str)\nerr_type - NotImplementedError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 10 (🏷️ int)\nkwargs\n  c - 2 (🏷️ int)\ntb - NotImplementedError: 🤔 (🏷️ str)\nerr_type - NotImplementedError (🏷️ str)\n\n```\n, \n```↯ AttrDict ↯\nfunc - do (🏷️ str)\nargs()\n  0 - 1 (🏷️ int)\n  1 - 4 (🏷️ int)\nkwargs\n  c - 17 (🏷️ int)\ntb - NotImplementedError: 🤔 (🏷️ str)\nerr_type - NotImplementedError (🏷️ str)\n\n```\n]\n\n\nThere’s onlly one usecase where you would want to send in a list by yourself - when you want to append your errors to an existing list. The sensible default is to always store the errors, especially because this is a debugging tool.\nJust access all the errors in a dataframe like so\n\nimport random\n\nrandom.seed(10)\n\n\n@tryy(silence_errors=True)\ndef do(a, b, c):\n    if c &lt; 50:\n        return 1 / 0\n    else:\n        raise NotImplementedError(\"🤔\")\n\n\nfor _ in range(4):\n    do(1, random.randint(0, 10), c=random.randint(0, 100))\n\ndo.error_summary()\n\n\n\n\n\n\n\n\nfunc\nargs\nkwargs\ntb\nerr_type\n\n\n\n\n0\ndo\n[1, 9]\n{'c': 4}\nZeroDivisionError: division by zero\nZeroDivisionError\n\n\n1\ndo\n[1, 6]\n{'c': 61}\nNotImplementedError: 🤔\nNotImplementedError\n\n\n2\ndo\n[1, 9]\n{'c': 1}\nZeroDivisionError: division by zero\nZeroDivisionError\n\n\n3\ndo\n[1, 3]\n{'c': 59}\nNotImplementedError: 🤔\nNotImplementedError\n\n\n\n\n\n\n\nand the actual list of errors like so\n\ndo.error_store\n\n[\n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 9 (🏷️ int)\n kwargs\n   c - 4 (🏷️ int)\n tb - ZeroDivisionError: division by zero (🏷️ str)\n err_type - ZeroDivisionError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 6 (🏷️ int)\n kwargs\n   c - 61 (🏷️ int)\n tb - NotImplementedError: 🤔 (🏷️ str)\n err_type - NotImplementedError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 9 (🏷️ int)\n kwargs\n   c - 1 (🏷️ int)\n tb - ZeroDivisionError: division by zero (🏷️ str)\n err_type - ZeroDivisionError (🏷️ str)\n \n ```,\n \n ```↯ AttrDict ↯\n func - do (🏷️ str)\n args()\n   0 - 1 (🏷️ int)\n   1 - 3 (🏷️ int)\n kwargs\n   c - 59 (🏷️ int)\n tb - NotImplementedError: 🤔 (🏷️ str)\n err_type - NotImplementedError (🏷️ str)\n \n ```]\n\n\nFinally, you want to run the function (without try) to reproduce the error and actually start debugging. Just use the .F attribute to access the original function that you created\n\nix = 2\ndata = do.error_store[ix]\ndo.F(*data.args, **data.kwargs)\n\n\n---------------------------------------------------------------------------\nZeroDivisionError                         Traceback (most recent call last)\nCell In[19], line 3\n      1 ix = 2\n      2 data = do.error_store[ix]\n----&gt; 3 do.F(*data.args, **data.kwargs)\n\nCell In[17], line 9, in do(a, b, c)\n      6 @tryy(silence_errors=True)\n      7 def do(a, b, c):\n      8     if c &lt; 50:\n----&gt; 9         return 1 / 0\n     10     else:\n     11         raise NotImplementedError(\"🤔\")\n\nZeroDivisionError: division by zero\n\n\n\n\ndef deco(decorator):\n    @wraps(decorator)\n    def wrapper(*args, **kwargs):\n        def real_decorator(func):\n            @wraps(func)\n            def inner_wrapper(*fargs, **fkwargs):\n                return decorator(func, *fargs, **fkwargs)\n\n            return inner_wrapper\n\n        if len(args) == 1 and callable(args[0]) and not kwargs:\n            # Case when B is used without arguments\n            return real_decorator(args[0])\n        else:\n            # Case when B is used with arguments\n            def custom_decorator(func):\n                return decorator(func, **kwargs)\n\n            return custom_decorator\n\n    return wrapper\n\n\n@deco\ndef B(func, *args, deco_param=\"default\", **kwargs):\n    print(\"B\", deco_param, print(\"args\", *args, \"kwargs\", **kwargs))\n    return func(*args, **kwargs)\n\n\n@B\ndef C(a, b, c):\n    print(\"C\")\n    return a + (b * c)\n\n\nC(1, 2, 3)\n\n\n@B(deco_param=\"new_param\")\ndef C(a, b, c):\n    return a + (b * c)\n\n\n# Testing\nprint(C(1, 2, 3))  # Outputs 'new_param' then the result 7",
     "crumbs": [
       "Miscellaneous"
     ]
diff --git a/docs/sitemap.xml b/docs/sitemap.xml
index bfbe2f4..21da4cc 100644
--- a/docs/sitemap.xml
+++ b/docs/sitemap.xml
@@ -2,94 +2,94 @@
 <urlset xmlns="http://www.sitemaps.org/schemas/sitemap/0.9">
   <url>
     <loc>https://sizhky.github.io/torch_snippets/imgaug_loader.html</loc>
-    <lastmod>2024-08-24T17:17:47.262Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.393Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/bokeh_plotting.html</loc>
-    <lastmod>2024-08-24T17:17:47.487Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.543Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/logging.html</loc>
-    <lastmod>2024-08-24T17:17:47.799Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.639Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/report.html</loc>
-    <lastmod>2024-08-24T17:17:47.150Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.102Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/registry.html</loc>
-    <lastmod>2024-08-24T17:17:47.111Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.056Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/config.html</loc>
-    <lastmod>2024-08-24T17:17:47.691Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.689Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/paths.html</loc>
-    <lastmod>2024-08-24T17:17:47.202Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.216Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/pdf.html</loc>
-    <lastmod>2024-08-24T17:17:47.150Z</lastmod>
+    <lastmod>2024-08-24T17:20:56.139Z</lastmod>
   </url>
   <url>
     <loc>https://sizhky.github.io/torch_snippets/bounding_boxes.html</loc>
-    <lastmod>2024-08-24T17:17:47.145Z</lastmod>
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     <loc>https://sizhky.github.io/torch_snippets/sklegos.html</loc>
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   <url>
     <loc>https://sizhky.github.io/torch_snippets/misc.html</loc>
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     <loc>https://sizhky.github.io/torch_snippets/adapters.html</loc>
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   <url>
     <loc>https://sizhky.github.io/torch_snippets/index.html</loc>
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diff --git a/docs/sklegos.html b/docs/sklegos.html
index 33729f9..c54bd5c 100644
--- a/docs/sklegos.html
+++ b/docs/sklegos.html
@@ -336,7 +336,7 @@ <h3 class="anchored" data-anchor-id="makeframe">MakeFrame</h3>
 <section id="imputemissingvalues" class="level3">
 <h3 class="anchored" data-anchor-id="imputemissingvalues">ImputeMissingValues</h3>
 <blockquote class="blockquote">
-<pre><code> ImputeMissingValues (num_mode=&lt;function mean at 0x111a83230&gt;,
+<pre><code> ImputeMissingValues (num_mode=&lt;function mean at 0x11225b3f0&gt;,
                       cat_mode='MISSING')</code></pre>
 </blockquote>
 <p>*DataFrame input - DataFrame output During fit - 1. Store imputable value for each column During transform - 2. Impute missing values with imputable value 3. Create a ’{col}_na’ boolean column to tell if cells contained missing value*</p>