diff --git a/_proc/bounding_boxes.ipynb b/_proc/bounding_boxes.ipynb index a35cdac..662a5f3 100644 --- a/_proc/bounding_boxes.ipynb +++ b/_proc/bounding_boxes.ipynb @@ -99,7 +99,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "\u001b[2;36m[08/17/24 12:55:25]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;31mWARNING \u001b[0m Unable to load torch and dependent libraries from torch-snippets. \u001b]8;id=121523;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108\u001b\\\u001b[2mloader.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=164102;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108#:108\u001b\\\u001b[2m:108\u001b[0m\u001b]8;;\u001b\\\n", + "\u001b[2;36m[08/23/24 18:12:57]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;31mWARNING \u001b[0m Unable to load torch and dependent libraries from torch-snippets. \u001b]8;id=185334;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108\u001b\\\u001b[2mloader.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=169396;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108#:108\u001b\\\u001b[2m:108\u001b[0m\u001b]8;;\u001b\\\n", "\u001b[2;36m \u001b[0m Functionalities might be limited. pip install lovely-tensors in case there are torch related errors \u001b[2m \u001b[0m\n" ] } diff --git a/_proc/decorators.ipynb b/_proc/decorators.ipynb index f6dbd97..4b2ee11 100644 --- a/_proc/decorators.ipynb +++ b/_proc/decorators.ipynb @@ -282,7 +282,7 @@ "OUTPUTS:\n", "int: 21\n", "══════════════════════════════════════════════════════════════════\n", - "\u001b[2;36m[08/17/24 12:55:28]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;33mINFO \u001b[0m foo took \u001b[1;36m1.01\u001b[0m seconds to execute \u001b]8;id=866065;file://:47\u001b\\\u001b[2m\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=883885;file://:47#wrapper:47\u001b\\\u001b[2mwrapper:47\u001b[0m\u001b]8;;\u001b\\\n" + "\u001b[2;36m[08/23/24 18:13:00]\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=60504;file://:47\u001b\\\u001b[2m\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=369021;file://: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 d9d0bc1..9f87c9d 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= 0x137427a00>, max_rows=50)" + "> 0x13fd9b3c0>, max_rows=50)" ], "text/plain": [ "---\n", @@ -227,7 +227,7 @@ "### display_dfs_side_by_side\n", "\n", "> display_dfs_side_by_side (*args, titles= 0x137427a00>, max_rows=50)" + "> 0x13fd9b3c0>, max_rows=50)" ] }, "execution_count": 6, diff --git a/_proc/misc.ipynb b/_proc/misc.ipynb index 7cae06b..221250b 100644 --- a/_proc/misc.ipynb +++ b/_proc/misc.ipynb @@ -32,15 +32,15 @@ "text": [ "\n", "1/10 (1.01s - 9.05s remaining - 1.01 s/iter) \n", - "2/10 (1.91s - 7.64s remaining - 1.05 iters/s) \n", - "3/10 (2.72s - 6.34s remaining - 1.10 iters/s) \n", - "4/10 (3.42s - 5.13s remaining - 1.17 iters/s) \n", + "2/10 (1.91s - 7.63s remaining - 1.05 iters/s) \n", + "3/10 (2.71s - 6.33s remaining - 1.11 iters/s) \n", + "4/10 (3.42s - 5.12s remaining - 1.17 iters/s) \n", "5/10 (4.02s - 4.02s remaining - 1.24 iters/s) \n", - "6/10 (4.53s - 3.02s remaining - 1.33 iters/s) \n", - "7/10 (4.93s - 2.11s remaining - 1.42 iters/s) \n", - "8/10 (5.24s - 1.31s remaining - 1.53 iters/s) \n", - "9/10 (5.44s - 0.60s remaining - 1.66 iters/s) \n", - "10/10 (5.54s - 0.00s remaining - 1.80 iters/s) \r" + "6/10 (4.52s - 3.01s remaining - 1.33 iters/s) \n", + "7/10 (4.92s - 2.11s remaining - 1.42 iters/s) \n", + "8/10 (5.23s - 1.31s remaining - 1.53 iters/s) \n", + "9/10 (5.43s - 0.60s remaining - 1.66 iters/s) \n", + "10/10 (5.53s - 0.00s remaining - 1.81 iters/s) \r" ] } ], @@ -84,8 +84,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "51/100 (5.29s - 5.08s remaining - 9.64 iters/s) \n", - "My Info: 156.1\t100/100 (10.39s - 0.00s remaining - 9.63 iters/s) \r" + "51/100 (5.28s - 5.07s remaining - 9.66 iters/s) \n", + "My Info: 156.1\t100/100 (10.38s - 0.00s remaining - 9.63 iters/s) \r" ] } ], @@ -120,8 +120,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "50/100 (5.21s - 5.21s remaining - 9.60 iters/s) \n", - "My Info: 309.08\t100/100 (10.39s - 0.00s remaining - 9.63 iters/s) \r" + "50/100 (5.20s - 5.20s remaining - 9.61 iters/s) \n", + "My Info: 309.08\t100/100 (10.36s - 0.00s remaining - 9.65 iters/s) \r" ] } ], @@ -155,11 +155,11 @@ { "data": { "text/html": [ - "
[08/11/24 19:04:44] DEBUG    0.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
+       "
[08/23/24 17:39:53] DEBUG    0.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
        "
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       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:04:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m0.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=768985;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=794464;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[08/23/24 17:39:53]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m0.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=645548;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=353152;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
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@@ -168,7 +168,7 @@
     {
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-       "
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+       "
                    DEBUG                                                                                                                          2064456364.py::12\" target=\"_blank\"><module>:12\n",
        "                             0.00 seconds to execute `inner`                                                                                                                \n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 10 (🏷️ int)                                                                                                                               \n",
@@ -179,7 +179,7 @@
        "
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       ],
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+       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=824600;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:12\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=898659;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:12#:12\u001b\\\u001b[2m:12\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;36m0.00\u001b[0m seconds to execute `inner`                                                                                       \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                      \u001b[2m                         \u001b[0m\n",
@@ -195,11 +195,11 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:04:46] DEBUG    2.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
+       "
[08/23/24 17:39:55] DEBUG    2.01 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
        "
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       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:04:46]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m2.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=200602;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=221957;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[08/23/24 17:39:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m2.01\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=621942;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=222460;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
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     {
      "data": {
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-       "
                    DEBUG                                                                                                                          2064456364.py::13\" target=\"_blank\"><module>:13\n",
+       "
                    DEBUG                                                                                                                          2064456364.py::13\" target=\"_blank\"><module>:13\n",
        "                             2.01 seconds to execute `inner`                                                                                                                \n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 10 (🏷️ int)                                                                                                                               \n",
@@ -220,7 +220,7 @@
        "
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       ],
       "text/plain": [
-       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=50473;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:13\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=285800;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:13#:13\u001b\\\u001b[2m:13\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=179073;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:13\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=325734;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:13#:13\u001b\\\u001b[2m:13\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;36m2.01\u001b[0m seconds to execute `inner`                                                                                       \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                      \u001b[2m                         \u001b[0m\n",
@@ -251,9 +251,16 @@
     "    foo(10, b=20)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Try Catch with a single line"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {
     "language": "python"
    },
@@ -261,25 +268,25 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:33] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:03] 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",
-       "                             division by zero                                                                                                                               \n",
+       "                             ZeroDivisionError: division by zero                                                                                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:33]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=675640;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=769587;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:03]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=270527;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=157819;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         kwargs                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m         division by zero                                                                                                         \u001b[2m                      \u001b[0m\n"
+       "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -296,9 +303,16 @@
     "assert x is None  # tryy returns None by default"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use your own default on failure"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {
     "language": "python"
    },
@@ -306,25 +320,25 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:55] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:04] 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",
-       "                             division by zero                                                                                                                               \n",
+       "                             ZeroDivisionError: division by zero                                                                                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=807965;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=923417;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:04]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=550994;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=605547;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         kwargs                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m         division by zero                                                                                                         \u001b[2m                      \u001b[0m\n"
+       "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -336,7 +350,7 @@
        "'😔'"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -359,7 +373,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {
     "language": "python"
    },
@@ -367,7 +381,7 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:56] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:06] ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 1 (🏷️ int)                                                                                                                                \n",
        "                               1 - 2 (🏷️ int)                                                                                                                                \n",
@@ -375,10 +389,10 @@
        "                               c - 10 (🏷️ int)                                                                                                                               \n",
        "                                                                                                                                                                            \n",
        "                             Traceback (most recent call last):                                                                                                             \n",
-       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py\", line 9, in inner                                      \n",
+       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py\", line 21, in inner                                     \n",
        "                                 return f(*args, **kwargs)                                                                                                                  \n",
        "                                        ^^^^^^^^^^^^^^^^^^                                                                                                                  \n",
-       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2870377084.py\", line 3, in do                                         \n",
+       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/580638143.py\", line 3, in do                                          \n",
        "                                 return 1 / 0                                                                                                                               \n",
        "                                        ~~^~~                                                                                                                               \n",
        "                             ZeroDivisionError: division by zero                                                                                                            \n",
@@ -386,7 +400,7 @@
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:56]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=118525;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=56484;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:06]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=430447;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=852031;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
@@ -394,10 +408,10 @@
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         Traceback \u001b[1m(\u001b[0mmost recent call last\u001b[1m)\u001b[0m:                                                                                       \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py\"\u001b[0m, line \u001b[1;36m9\u001b[0m, in inner                \u001b[2m                      \u001b[0m\n",
+       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py\"\u001b[0m, line \u001b[1;36m21\u001b[0m, in inner               \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m             return \u001b[1;35mf\u001b[0m\u001b[1m(\u001b[0m*args, **kwargs\u001b[1m)\u001b[0m                                                                                            \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                    ^^^^^^^^^^^^^^^^^^                                                                                            \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2870377084.py\"\u001b[0m, line \u001b[1;36m3\u001b[0m, in do                   \u001b[2m                      \u001b[0m\n",
+       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/580638143.py\"\u001b[0m, line \u001b[1;36m3\u001b[0m, in do                    \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m             return \u001b[1;36m1\u001b[0m \u001b[35m/\u001b[0m \u001b[1;36m0\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                    ~~^~~                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n",
@@ -413,7 +427,7 @@
        "'😔'"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -427,9 +441,359 @@
     "do(1, 2, c=10)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also silence the errors completely"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 36,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'😔'"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@tryy(silence_errors=True, output_to_return_on_fail=\"😔\")\n",
+    "def do(a, b, c):\n",
+    "    return 1 / 0\n",
+    "\n",
+    "\n",
+    "do(1, 2, c=10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can collect all your errors in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "```↯ AttrDict ↯\n",
+      "func - do (🏷️ str)\n",
+      "args()\n",
+      "  0 - 1 (🏷️ int)\n",
+      "  1 - 3 (🏷️ int)\n",
+      "kwargs\n",
+      "  c - 67 (🏷️ 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 - 8 (🏷️ 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 - 2 (🏷️ int)\n",
+      "kwargs\n",
+      "  c - 23 (🏷️ 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 - 6 (🏷️ int)\n",
+      "tb - NotImplementedError: 🤔 (🏷️ str)\n",
+      "err_type - NotImplementedError (🏷️ str)\n",
+      "\n",
+      "```\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import random\n",
+    "\n",
+    "errors = []\n",
+    "\n",
+    "\n",
+    "@tryy(silence_errors=True, store_errors=errors)\n",
+    "def do(a, b, c):\n",
+    "    if random.randint(0, 100) < 50:\n",
+    "        return 1 / 0\n",
+    "    else:\n",
+    "        raise NotImplementedError(\"🤔\")\n",
+    "\n",
+    "\n",
+    "for _ in range(4):\n",
+    "    do(1, random.randint(0, 10), c=random.randint(0, 100))\n",
+    "\n",
+    "print(errors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There'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.\n",
+    "\n",
+    "Just access all the errors in a dataframe like so"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "\n",
+       "\n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "
funcargskwargstberr_type
0do[1, 9]{'c': 4}ZeroDivisionError: division by zeroZeroDivisionError
1do[1, 6]{'c': 61}NotImplementedError: 🤔NotImplementedError
2do[1, 9]{'c': 1}ZeroDivisionError: division by zeroZeroDivisionError
3do[1, 3]{'c': 59}NotImplementedError: 🤔NotImplementedError
\n",
+       "
"
+      ],
+      "text/plain": [
+       "  func    args  ...                                   tb             err_type\n",
+       "0   do  [1, 9]  ...  ZeroDivisionError: division by zero    ZeroDivisionError\n",
+       "1   do  [1, 6]  ...               NotImplementedError: 🤔  NotImplementedError\n",
+       "2   do  [1, 9]  ...  ZeroDivisionError: division by zero    ZeroDivisionError\n",
+       "3   do  [1, 3]  ...               NotImplementedError: 🤔  NotImplementedError\n",
+       "\n",
+       "[4 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import random\n",
+    "\n",
+    "random.seed(10)\n",
+    "errors = []\n",
+    "\n",
+    "\n",
+    "@tryy(silence_errors=True, store_errors=errors, output_to_return_on_fail=\"😔\")\n",
+    "def do(a, b, c):\n",
+    "    if c < 50:\n",
+    "        return 1 / 0\n",
+    "    else:\n",
+    "        raise NotImplementedError(\"🤔\")\n",
+    "\n",
+    "\n",
+    "for _ in range(4):\n",
+    "    do(1, random.randint(0, 10), c=random.randint(0, 100))\n",
+    "\n",
+    "do.error_summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "and the actual list of errors like so"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[\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",
+       " ```]"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "do.error_store"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, 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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {
+    "language": "python"
+   },
+   "outputs": [
+    {
+     "ename": "ZeroDivisionError",
+     "evalue": "division by zero",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[51], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m ix \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[1;32m      2\u001b[0m data \u001b[38;5;241m=\u001b[39m do\u001b[38;5;241m.\u001b[39merror_store[ix]\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mF\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[49], line 9\u001b[0m, in \u001b[0;36mdo\u001b[0;34m(a, b, c)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;129m@tryy\u001b[39m(silence_errors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, store_errors\u001b[38;5;241m=\u001b[39merrors, output_to_return_on_fail\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m😔\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo\u001b[39m(a, b, c):\n\u001b[1;32m      8\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m c \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m50\u001b[39m:\n\u001b[0;32m----> 9\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241;43m1\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     11\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m🤔\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
+     ]
+    }
+   ],
+   "source": [
+    "ix = 2\n",
+    "data = do.error_store[ix]\n",
+    "do.F(*data.args, **data.kwargs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "metadata": {
     "language": "python"
    },
@@ -460,7 +824,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 14,
    "metadata": {
     "language": "python"
    },
@@ -474,7 +838,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {
     "language": "python"
    },
@@ -494,7 +858,7 @@
        "7"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -511,11 +875,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {
     "language": "python"
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "args kwargs\n",
+      "B new_param None\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "C() missing 3 required positional arguments: 'a', 'b', and 'c'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;129;43m@B\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdeco_param\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mnew_param\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;43;01mdef\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;21;43mC\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43;01mreturn\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# Testing\u001b[39;00m\n",
+      "Cell \u001b[0;32mIn[13], line 17\u001b[0m, in \u001b[0;36mdeco..wrapper..custom_decorator\u001b[0;34m(func)\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcustom_decorator\u001b[39m(func):\n\u001b[0;32m---> 17\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdecorator\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[14], line 4\u001b[0m, in \u001b[0;36mB\u001b[0;34m(func, deco_param, *args, **kwargs)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;129m@deco\u001b[39m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mB\u001b[39m(func, \u001b[38;5;241m*\u001b[39margs, deco_param\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdefault\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m      3\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mB\u001b[39m\u001b[38;5;124m\"\u001b[39m, deco_param, \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124margs\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkwargs\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs))\n\u001b[0;32m----> 4\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mTypeError\u001b[0m: C() missing 3 required positional arguments: 'a', 'b', and 'c'"
+     ]
+    }
+   ],
    "source": [
     "@B(deco_param=\"new_param\")\n",
     "def C(a, b, c):\n",
diff --git a/changelog.md b/changelog.md
index 958a987..88dd999 100644
--- a/changelog.md
+++ b/changelog.md
@@ -1,4 +1,18 @@
 # Changelog
+#### 0.539
+✨ set `AD_SHOW_TAB_STOPS` env variable to anything to print with tab-stops (only recommended to see on REPL. Default is good for storing files)
+✨ `crop_from_bb` has `padding` (px,py,pX,pY)
+🐞 minor bugfix in `AD`
+🎉 `AD` has a `fetch2` which preserves json structure while fetching all the leafs of the same name
+🎉 `AD` has a `flatten` which flattens all nested jsons into flat dictionary with '.' combined key names
+🎉 `AD` has a `flatten_and_make_dataframe` which creates one column for each nesting
+✨ `tryy` will store all its errors and can be accessed by calling `.error_summary()`
+🎉 torch snippets as a new cli function called `ts`, thanks to the wonderful `Typer`. Try 
+  `ts time` 
+  `ts zen-of python` 
+  `ts zen-of c++`
+  `ts --help`
+
 #### 0.538.1
 ✨ slightly better error printing in `tryy`
 
diff --git a/nbs/misc.ipynb b/nbs/misc.ipynb
index db6db4f..98e06de 100644
--- a/nbs/misc.ipynb
+++ b/nbs/misc.ipynb
@@ -24,12 +24,12 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:04:17] WARNING  Unable to load torch and dependent libraries from torch-snippets.                                                        loader.py::108\" target=\"_blank\"><module>:108\n",
+       "
[08/23/24 17:39:26] WARNING  Unable to load torch and dependent libraries from torch-snippets.                                                        loader.py::108\" target=\"_blank\"><module>:108\n",
        "                             Functionalities might be limited. pip install lovely-tensors in case there are torch related errors                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:04:17]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;31mWARNING \u001b[0m Unable to load torch and dependent libraries from torch-snippets.                                                        \u001b]8;id=984597;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108\u001b\\\u001b[2mloader.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=81772;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108#:108\u001b\\\u001b[2m:108\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:39:26]\u001b[0m\u001b[2;36m \u001b[0m\u001b[2;31mWARNING \u001b[0m Unable to load torch and dependent libraries from torch-snippets.                                                        \u001b]8;id=216491;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108\u001b\\\u001b[2mloader.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=691599;file:///Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/loader.py:108#:108\u001b\\\u001b[2m:108\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         Functionalities might be limited. pip install lovely-tensors in case there are torch related errors                      \u001b[2m                      \u001b[0m\n"
       ]
      },
@@ -40,10 +40,11 @@
    "source": [
     "# | export\n",
     "import time\n",
-    "from torch_snippets.logger import Debug, Excep, debug_mode\n",
+    "from torch_snippets.logger import Debug, Excep, debug_mode, Info\n",
     "from torch_snippets.markup2 import AD\n",
     "from functools import wraps\n",
-    "from fastcore.basics import ifnone"
+    "from fastcore.basics import ifnone\n",
+    "from fastcore.foundation import L"
    ]
   },
   {
@@ -139,15 +140,15 @@
      "text": [
       "\n",
       "1/10 (1.01s - 9.05s remaining - 1.01 s/iter)          \n",
-      "2/10 (1.91s - 7.64s remaining - 1.05 iters/s)          \n",
-      "3/10 (2.72s - 6.34s remaining - 1.10 iters/s)          \n",
-      "4/10 (3.42s - 5.13s remaining - 1.17 iters/s)          \n",
+      "2/10 (1.91s - 7.63s remaining - 1.05 iters/s)          \n",
+      "3/10 (2.71s - 6.33s remaining - 1.11 iters/s)          \n",
+      "4/10 (3.42s - 5.12s remaining - 1.17 iters/s)          \n",
       "5/10 (4.02s - 4.02s remaining - 1.24 iters/s)          \n",
-      "6/10 (4.53s - 3.02s remaining - 1.33 iters/s)          \n",
-      "7/10 (4.93s - 2.11s remaining - 1.42 iters/s)          \n",
-      "8/10 (5.24s - 1.31s remaining - 1.53 iters/s)          \n",
-      "9/10 (5.44s - 0.60s remaining - 1.66 iters/s)          \n",
-      "10/10 (5.54s - 0.00s remaining - 1.80 iters/s)          \r"
+      "6/10 (4.52s - 3.01s remaining - 1.33 iters/s)          \n",
+      "7/10 (4.92s - 2.11s remaining - 1.42 iters/s)          \n",
+      "8/10 (5.23s - 1.31s remaining - 1.53 iters/s)          \n",
+      "9/10 (5.43s - 0.60s remaining - 1.66 iters/s)          \n",
+      "10/10 (5.53s - 0.00s remaining - 1.81 iters/s)          \r"
      ]
     }
    ],
@@ -189,8 +190,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "51/100 (5.29s - 5.08s remaining - 9.64 iters/s)          \n",
-      "My Info: 156.1\t100/100 (10.39s - 0.00s remaining - 9.63 iters/s)          \r"
+      "51/100 (5.28s - 5.07s remaining - 9.66 iters/s)          \n",
+      "My Info: 156.1\t100/100 (10.38s - 0.00s remaining - 9.63 iters/s)          \r"
      ]
     }
    ],
@@ -223,8 +224,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "50/100 (5.21s - 5.21s remaining - 9.60 iters/s)          \n",
-      "My Info: 309.08\t100/100 (10.39s - 0.00s remaining - 9.63 iters/s)          \r"
+      "50/100 (5.20s - 5.20s remaining - 9.61 iters/s)          \n",
+      "My Info: 309.08\t100/100 (10.36s - 0.00s remaining - 9.65 iters/s)          \r"
      ]
     }
    ],
@@ -297,11 +298,11 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:04:44] DEBUG    0.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
+       "
[08/23/24 17:39:53] DEBUG    0.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:04:44]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m0.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=768985;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=794464;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[08/23/24 17:39:53]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m0.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=645548;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=353152;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
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      "metadata": {},
@@ -310,7 +311,7 @@
     {
      "data": {
       "text/html": [
-       "
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+       "
                    DEBUG                                                                                                                          2064456364.py::12\" target=\"_blank\"><module>:12\n",
        "                             0.00 seconds to execute `inner`                                                                                                                \n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 10 (🏷️ int)                                                                                                                               \n",
@@ -321,7 +322,7 @@
        "
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       ],
       "text/plain": [
-       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=196942;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:12\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=537244;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:12#:12\u001b\\\u001b[2m:12\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=824600;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:12\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=898659;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:12#:12\u001b\\\u001b[2m:12\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;36m0.00\u001b[0m seconds to execute `inner`                                                                                       \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                      \u001b[2m                         \u001b[0m\n",
@@ -337,11 +338,11 @@
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:04:46] DEBUG    2.00 seconds to execute `foo`                                                                                            1296653500.py:inner:16\n",
+       "
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        "
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       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:04:46]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m2.00\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=200602;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=221957;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
+       "\u001b[2;36m[08/23/24 17:39:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m \u001b[1;36m2.01\u001b[0m seconds to execute `foo`                                                                                            \u001b]8;id=621942;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16\u001b\\\u001b[2m1296653500.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=222460;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1296653500.py:16#inner:16\u001b\\\u001b[2minner:16\u001b[0m\u001b]8;;\u001b\\\n"
       ]
      },
      "metadata": {},
@@ -350,7 +351,7 @@
     {
      "data": {
       "text/html": [
-       "
                    DEBUG                                                                                                                          2064456364.py::13\" target=\"_blank\"><module>:13\n",
+       "
                    DEBUG                                                                                                                          2064456364.py::13\" target=\"_blank\"><module>:13\n",
        "                             2.01 seconds to execute `inner`                                                                                                                \n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 10 (🏷️ int)                                                                                                                               \n",
@@ -362,7 +363,7 @@
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=50473;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:13\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=285800;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2064456364.py:13#:13\u001b\\\u001b[2m:13\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m                   \u001b[0m\u001b[2;36m \u001b[0m\u001b[32mDEBUG   \u001b[0m                                                                                                                       \u001b]8;id=179073;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:13\u001b\\\u001b[2m2064456364.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=325734;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/2064456364.py:13#:13\u001b\\\u001b[2m:13\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;36m2.01\u001b[0m seconds to execute `inner`                                                                                       \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                \u001b[2m                         \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                      \u001b[2m                         \u001b[0m\n",
@@ -395,7 +396,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -403,8 +404,20 @@
     "# | hide\n",
     "\n",
     "\n",
-    "def tryy(func=None, *, output_to_return_on_fail=None, print_traceback=False):\n",
+    "def tryy(\n",
+    "    func=None,\n",
+    "    *,\n",
+    "    output_to_return_on_fail=None,\n",
+    "    silence_errors=False,\n",
+    "    print_traceback=False,\n",
+    "    store_errors: bool = True,\n",
+    "):\n",
     "    def decorator(f):\n",
+    "        if isinstance(store_errors, bool) and store_errors:\n",
+    "            error_store = []\n",
+    "        elif isinstance(store_errors, (list, L)):\n",
+    "            error_store = store_errors\n",
+    "\n",
     "        def inner(*args, **kwargs):\n",
     "            try:\n",
     "                return f(*args, **kwargs)\n",
@@ -415,11 +428,31 @@
     "                    import traceback\n",
     "\n",
     "                    tb = traceback.format_exc()\n",
-    "                Excep(\n",
-    "                    f\"Error for `{f.__name__}` with \\n{summarize_input(args, kwargs)}\\n{tb}\"\n",
-    "                )\n",
+    "                if not silence_errors:\n",
+    "                    Excep(\n",
+    "                        f\"Error for `{f.__name__}` with \\n{summarize_input(args, kwargs)}\\n{tb}\"\n",
+    "                    )\n",
+    "                if store_errors is not None:\n",
+    "                    error_store.append(\n",
+    "                        AD(\n",
+    "                            func=f.__name__,\n",
+    "                            args=args,\n",
+    "                            kwargs=kwargs,\n",
+    "                            tb=tb,\n",
+    "                            err_type=type(e).__name__,\n",
+    "                        )\n",
+    "                    )\n",
     "                return output_to_return_on_fail\n",
     "\n",
+    "        inner.F = f  # Store reference to the original function\n",
+    "        inner.error_store = error_store\n",
+    "\n",
+    "        def error_summary():\n",
+    "            import pandas as pd\n",
+    "\n",
+    "            return pd.DataFrame([e.dict() for e in error_store])\n",
+    "\n",
+    "        inner.error_summary = error_summary\n",
     "        return inner\n",
     "\n",
     "    if callable(func):\n",
@@ -427,33 +460,40 @@
     "    return decorator"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Try Catch with a single line"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:33] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:03] 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",
-       "                             division by zero                                                                                                                               \n",
+       "                             ZeroDivisionError: division by zero                                                                                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:33]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=675640;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=769587;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:03]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=270527;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=157819;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         kwargs                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m         division by zero                                                                                                         \u001b[2m                      \u001b[0m\n"
+       "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -470,33 +510,40 @@
     "assert x is None  # tryy returns None by default"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Use your own default on failure"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:55] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:04] 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",
-       "                             division by zero                                                                                                                               \n",
+       "                             ZeroDivisionError: division by zero                                                                                                            \n",
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:55]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=807965;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=923417;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:04]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=550994;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=605547;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         kwargs                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m         division by zero                                                                                                         \u001b[2m                      \u001b[0m\n"
+       "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n"
       ]
      },
      "metadata": {},
@@ -508,7 +555,7 @@
        "'😔'"
       ]
      },
-     "execution_count": 33,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -531,13 +578,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "
[08/11/24 19:11:56] ERROR    Error for `do` with                                                                                                      3146474900.py:inner:17\n",
+       "
[08/23/24 17:48:06] ERROR    Error for `do` with                                                                                                      1057038067.py:inner:30\n",
        "                             args()                                                                                                                                         \n",
        "                               0 - 1 (🏷️ int)                                                                                                                                \n",
        "                               1 - 2 (🏷️ int)                                                                                                                                \n",
@@ -545,10 +592,10 @@
        "                               c - 10 (🏷️ int)                                                                                                                               \n",
        "                                                                                                                                                                            \n",
        "                             Traceback (most recent call last):                                                                                                             \n",
-       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py\", line 9, in inner                                      \n",
+       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py\", line 21, in inner                                     \n",
        "                                 return f(*args, **kwargs)                                                                                                                  \n",
        "                                        ^^^^^^^^^^^^^^^^^^                                                                                                                  \n",
-       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2870377084.py\", line 3, in do                                         \n",
+       "                               File \"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/580638143.py\", line 3, in do                                          \n",
        "                                 return 1 / 0                                                                                                                               \n",
        "                                        ~~^~~                                                                                                                               \n",
        "                             ZeroDivisionError: division by zero                                                                                                            \n",
@@ -556,7 +603,7 @@
        "
\n"
       ],
       "text/plain": [
-       "\u001b[2;36m[08/11/24 19:11:56]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=118525;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17\u001b\\\u001b[2m3146474900.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=56484;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py:17#inner:17\u001b\\\u001b[2minner:17\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m[08/23/24 17:48:06]\u001b[0m\u001b[2;36m \u001b[0m\u001b[1;31mERROR   \u001b[0m Error for `do` with                                                                                                      \u001b]8;id=430447;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30\u001b\\\u001b[2m1057038067.py\u001b[0m\u001b]8;;\u001b\\\u001b[2m:\u001b[0m\u001b]8;id=852031;file:///var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py:30#inner:30\u001b\\\u001b[2minner:30\u001b[0m\u001b]8;;\u001b\\\n",
        "\u001b[2;36m                    \u001b[0m         \u001b[1;35margs\u001b[0m\u001b[1m(\u001b[0m\u001b[1m)\u001b[0m                                                                                                                   \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m0\u001b[0m - \u001b[1;36m1\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m           \u001b[1;36m1\u001b[0m - \u001b[1;36m2\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                          \u001b[2m                      \u001b[0m\n",
@@ -564,10 +611,10 @@
        "\u001b[2;36m                    \u001b[0m           c - \u001b[1;36m10\u001b[0m \u001b[1m(\u001b[0m🏷️ int\u001b[1m)\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                                                                                                                                  \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         Traceback \u001b[1m(\u001b[0mmost recent call last\u001b[1m)\u001b[0m:                                                                                       \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/3146474900.py\"\u001b[0m, line \u001b[1;36m9\u001b[0m, in inner                \u001b[2m                      \u001b[0m\n",
+       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/1057038067.py\"\u001b[0m, line \u001b[1;36m21\u001b[0m, in inner               \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m             return \u001b[1;35mf\u001b[0m\u001b[1m(\u001b[0m*args, **kwargs\u001b[1m)\u001b[0m                                                                                            \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                    ^^^^^^^^^^^^^^^^^^                                                                                            \u001b[2m                      \u001b[0m\n",
-       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_21562/2870377084.py\"\u001b[0m, line \u001b[1;36m3\u001b[0m, in do                   \u001b[2m                      \u001b[0m\n",
+       "\u001b[2;36m                    \u001b[0m           File \u001b[32m\"/var/folders/1_/71dqv9vx2750gmyz77q_f45w0000gn/T/ipykernel_28490/580638143.py\"\u001b[0m, line \u001b[1;36m3\u001b[0m, in do                    \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m             return \u001b[1;36m1\u001b[0m \u001b[35m/\u001b[0m \u001b[1;36m0\u001b[0m                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m                    ~~^~~                                                                                                         \u001b[2m                      \u001b[0m\n",
        "\u001b[2;36m                    \u001b[0m         ZeroDivisionError: division by zero                                                                                      \u001b[2m                      \u001b[0m\n",
@@ -583,7 +630,7 @@
        "'😔'"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -597,9 +644,353 @@
     "do(1, 2, c=10)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can also silence the errors completely"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'😔'"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "@tryy(silence_errors=True, output_to_return_on_fail=\"😔\")\n",
+    "def do(a, b, c):\n",
+    "    return 1 / 0\n",
+    "\n",
+    "\n",
+    "do(1, 2, c=10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "You can collect all your errors in a list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[\n",
+      "```↯ AttrDict ↯\n",
+      "func - do (🏷️ str)\n",
+      "args()\n",
+      "  0 - 1 (🏷️ int)\n",
+      "  1 - 8 (🏷️ int)\n",
+      "kwargs\n",
+      "  c - 83 (🏷️ 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 - 9 (🏷️ int)\n",
+      "kwargs\n",
+      "  c - 88 (🏷️ 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",
+      "```↯ AttrDict ↯\n",
+      "func - do (🏷️ str)\n",
+      "args()\n",
+      "  0 - 1 (🏷️ int)\n",
+      "  1 - 6 (🏷️ int)\n",
+      "kwargs\n",
+      "  c - 6 (🏷️ int)\n",
+      "tb - NotImplementedError: 🤔 (🏷️ str)\n",
+      "err_type - NotImplementedError (🏷️ str)\n",
+      "\n",
+      "```\n",
+      "]\n"
+     ]
+    }
+   ],
+   "source": [
+    "import random\n",
+    "\n",
+    "errors = []\n",
+    "\n",
+    "\n",
+    "@tryy(silence_errors=True, store_errors=errors)\n",
+    "def do(a, b, c):\n",
+    "    if random.randint(0, 100) < 50:\n",
+    "        return 1 / 0\n",
+    "    else:\n",
+    "        raise NotImplementedError(\"🤔\")\n",
+    "\n",
+    "\n",
+    "for _ in range(4):\n",
+    "    do(1, random.randint(0, 10), c=random.randint(0, 100))\n",
+    "\n",
+    "print(errors)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "There'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.\n",
+    "\n",
+    "Just access all the errors in a dataframe like so"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "
\n",
+       "\n",
+       "\n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "  \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "    \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "      \n",
+       "    \n",
+       "  \n",
+       "
funcargskwargstberr_type
0do[1, 9]{'c': 4}ZeroDivisionError: division by zeroZeroDivisionError
1do[1, 6]{'c': 61}NotImplementedError: 🤔NotImplementedError
2do[1, 9]{'c': 1}ZeroDivisionError: division by zeroZeroDivisionError
3do[1, 3]{'c': 59}NotImplementedError: 🤔NotImplementedError
\n",
+       "
"
+      ],
+      "text/plain": [
+       "  func    args     kwargs                                   tb  \\\n",
+       "0   do  [1, 9]   {'c': 4}  ZeroDivisionError: division by zero   \n",
+       "1   do  [1, 6]  {'c': 61}               NotImplementedError: 🤔   \n",
+       "2   do  [1, 9]   {'c': 1}  ZeroDivisionError: division by zero   \n",
+       "3   do  [1, 3]  {'c': 59}               NotImplementedError: 🤔   \n",
+       "\n",
+       "              err_type  \n",
+       "0    ZeroDivisionError  \n",
+       "1  NotImplementedError  \n",
+       "2    ZeroDivisionError  \n",
+       "3  NotImplementedError  "
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import random\n",
+    "\n",
+    "random.seed(10)\n",
+    "errors = []\n",
+    "\n",
+    "\n",
+    "@tryy(silence_errors=True, store_errors=errors, output_to_return_on_fail=\"😔\")\n",
+    "def do(a, b, c):\n",
+    "    if c < 50:\n",
+    "        return 1 / 0\n",
+    "    else:\n",
+    "        raise NotImplementedError(\"🤔\")\n",
+    "\n",
+    "\n",
+    "for _ in range(4):\n",
+    "    do(1, random.randint(0, 10), c=random.randint(0, 100))\n",
+    "\n",
+    "do.error_summary()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "and the actual list of errors like so"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[\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",
+       " ```]"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "do.error_store"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Finally, 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"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ZeroDivisionError",
+     "evalue": "division by zero",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[51], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m ix \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m2\u001b[39m\n\u001b[1;32m      2\u001b[0m data \u001b[38;5;241m=\u001b[39m do\u001b[38;5;241m.\u001b[39merror_store[ix]\n\u001b[0;32m----> 3\u001b[0m \u001b[43mdo\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mF\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[49], line 9\u001b[0m, in \u001b[0;36mdo\u001b[0;34m(a, b, c)\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;129m@tryy\u001b[39m(silence_errors\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, store_errors\u001b[38;5;241m=\u001b[39merrors, output_to_return_on_fail\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m😔\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m      7\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mdo\u001b[39m(a, b, c):\n\u001b[1;32m      8\u001b[0m     \u001b[38;5;28;01mif\u001b[39;00m c \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m50\u001b[39m:\n\u001b[0;32m----> 9\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;241;43m1\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m0\u001b[39;49m\n\u001b[1;32m     10\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m     11\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mNotImplementedError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m🤔\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
+      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
+     ]
+    }
+   ],
+   "source": [
+    "ix = 2\n",
+    "data = do.error_store[ix]\n",
+    "do.F(*data.args, **data.kwargs)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -628,7 +1019,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -640,7 +1031,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -658,7 +1049,7 @@
        "7"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -675,9 +1066,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "args kwargs\n",
+      "B new_param None\n"
+     ]
+    },
+    {
+     "ename": "TypeError",
+     "evalue": "C() missing 3 required positional arguments: 'a', 'b', and 'c'",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[16], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;129;43m@B\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mdeco_param\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mnew_param\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m)\u001b[49m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;43;01mdef\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;21;43mC\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43ma\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mb\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\u001b[43m:\u001b[49m\n\u001b[1;32m      3\u001b[0m \u001b[43m    \u001b[49m\u001b[38;5;28;43;01mreturn\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43ma\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mc\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m      6\u001b[0m \u001b[38;5;66;03m# Testing\u001b[39;00m\n",
+      "Cell \u001b[0;32mIn[13], line 17\u001b[0m, in \u001b[0;36mdeco..wrapper..custom_decorator\u001b[0;34m(func)\u001b[0m\n\u001b[1;32m     16\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mcustom_decorator\u001b[39m(func):\n\u001b[0;32m---> 17\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mdecorator\u001b[49m\u001b[43m(\u001b[49m\u001b[43mfunc\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "Cell \u001b[0;32mIn[14], line 4\u001b[0m, in \u001b[0;36mB\u001b[0;34m(func, deco_param, *args, **kwargs)\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;129m@deco\u001b[39m\n\u001b[1;32m      2\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mB\u001b[39m(func, \u001b[38;5;241m*\u001b[39margs, deco_param\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdefault\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs):\n\u001b[1;32m      3\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mB\u001b[39m\u001b[38;5;124m\"\u001b[39m, deco_param, \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124margs\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39margs, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mkwargs\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs))\n\u001b[0;32m----> 4\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mfunc\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n",
+      "\u001b[0;31mTypeError\u001b[0m: C() missing 3 required positional arguments: 'a', 'b', and 'c'"
+     ]
+    }
+   ],
    "source": [
     "@B(deco_param=\"new_param\")\n",
     "def C(a, b, c):\n",
diff --git a/scripts.ipynb b/scripts.ipynb
index ff745fe..d67b0c3 100644
--- a/scripts.ipynb
+++ b/scripts.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [
     {
@@ -14,141 +14,141 @@
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/bokeh_loader.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/load_defaults.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/decorators.py\u001b[0m\n",
-      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/misc.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/inspector.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/pdf_loader.py\u001b[0m\n",
+      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/imgaug_loader.py\u001b[0m\n",
+      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/misc.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/adapters.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/registry.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/trainer/config.py\u001b[0m\n",
-      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/ipython.py\u001b[0m\n",
-      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/logger.py\u001b[0m\n",
-      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/imgaug_loader.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/interactive_show.py\u001b[0m\n",
+      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/logger.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/sklegos.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/trainer/capsule.py\u001b[0m\n",
+      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/ipython.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/charts.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/bb_utils.py\u001b[0m\n",
-      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/markup.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/paths.py\u001b[0m\n",
+      "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/markup.py\u001b[0m\n",
       "\u001b[1mreformatted /Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/_modidx.py\u001b[0m\n",
       "\n",
       "\u001b[1mAll done! ✨ 🍰 ✨\u001b[0m\n",
       "\u001b[34m\u001b[1m20 files \u001b[0m\u001b[1mreformatted\u001b[0m, \u001b[34m18 files \u001b[0mleft unchanged.\n",
       "Obtaining file:///Users/yeshwanth/Code/Personal/torch_snippets\n",
       "  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
-      "\u001b[?25hRequirement already satisfied: fastcore in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (1.5.54)\n",
-      "Requirement already satisfied: matplotlib in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (3.9.1)\n",
-      "Requirement already satisfied: Pillow in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (10.4.0)\n",
-      "Requirement already satisfied: altair in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (5.3.0)\n",
-      "Requirement already satisfied: dill in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.3.8)\n",
-      "Requirement already satisfied: ipython in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (8.26.0)\n",
-      "Requirement already satisfied: loguru in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.7.2)\n",
-      "Requirement already satisfied: numpy in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.0.1)\n",
-      "Requirement already satisfied: pandas in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.2.2)\n",
-      "Requirement already satisfied: tqdm in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (4.66.4)\n",
-      "Requirement already satisfied: rich in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (13.7.1)\n",
-      "Requirement already satisfied: PyYAML in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (6.0.1)\n",
-      "Requirement already satisfied: catalogue in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.0.10)\n",
-      "Requirement already satisfied: confection in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.1.5)\n",
-      "Requirement already satisfied: pydantic in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.8.2)\n",
-      "Requirement already satisfied: typing in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (3.7.4.3)\n",
-      "Requirement already satisfied: srsly in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.4.8)\n",
-      "Requirement already satisfied: typing_extensions in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (4.12.2)\n",
-      "Requirement already satisfied: wasabi in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (1.1.3)\n",
-      "Requirement already satisfied: jsonlines in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (4.0.0)\n",
-      "Requirement already satisfied: imgaug>=0.4.0 in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.4.0)\n",
-      "Requirement already satisfied: xmltodict in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.13.0)\n",
-      "Requirement already satisfied: fuzzywuzzy in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.18.0)\n",
-      "Requirement already satisfied: scikit-learn in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (1.5.1)\n",
-      "Requirement already satisfied: nltk in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (3.8.1)\n",
-      "Requirement already satisfied: python-Levenshtein in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (0.25.1)\n",
-      "Requirement already satisfied: pre-commit in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (3.7.1)\n",
-      "Requirement already satisfied: pymupdf in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (1.24.9)\n",
-      "Requirement already satisfied: nbconvert in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (7.16.4)\n",
-      "Requirement already satisfied: nbformat in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (5.10.4)\n",
-      "Requirement already satisfied: icecream in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (2.1.3)\n",
-      "Requirement already satisfied: mergedeep in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.536) (1.3.4)\n",
-      "Requirement already satisfied: six in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (1.16.0)\n",
-      "Requirement already satisfied: scipy in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (1.14.0)\n",
-      "Requirement already satisfied: scikit-image>=0.14.2 in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (0.24.0)\n",
-      "Requirement already satisfied: opencv-python in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (4.10.0.84)\n",
-      "Requirement already satisfied: imageio in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (2.34.2)\n",
-      "Requirement already satisfied: Shapely in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.536) (2.0.5)\n",
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-      "Requirement already satisfied: packaging in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.536) (23.2)\n",
-      "Requirement already satisfied: toolz in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.536) (0.12.1)\n",
-      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/miniconda3/lib/python3.12/site-packages (from pandas->torch_snippets==0.536) (2.9.0.post0)\n",
-      "Requirement already satisfied: pytz>=2020.1 in /opt/miniconda3/lib/python3.12/site-packages (from pandas->torch_snippets==0.536) (2024.1)\n",
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-      "Requirement already satisfied: annotated-types>=0.4.0 in /opt/miniconda3/lib/python3.12/site-packages (from pydantic->torch_snippets==0.536) (0.7.0)\n",
-      "Requirement already satisfied: pydantic-core==2.20.1 in /opt/miniconda3/lib/python3.12/site-packages (from pydantic->torch_snippets==0.536) (2.20.1)\n",
-      "Requirement already satisfied: colorama>=0.3.9 in /opt/miniconda3/lib/python3.12/site-packages (from icecream->torch_snippets==0.536) (0.4.6)\n",
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-      "Requirement already satisfied: cfgv>=2.0.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.536) (3.4.0)\n",
-      "Requirement already satisfied: identify>=1.0.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.536) (2.6.0)\n",
-      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.536) (1.9.1)\n",
-      "Requirement already satisfied: virtualenv>=20.10.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.536) (20.26.3)\n",
-      "Requirement already satisfied: PyMuPDFb==1.24.9 in /opt/miniconda3/lib/python3.12/site-packages (from pymupdf->torch_snippets==0.536) (1.24.9)\n",
-      "Requirement already satisfied: Levenshtein==0.25.1 in /opt/miniconda3/lib/python3.12/site-packages (from python-Levenshtein->torch_snippets==0.536) (0.25.1)\n",
-      "Requirement already satisfied: rapidfuzz<4.0.0,>=3.8.0 in /opt/miniconda3/lib/python3.12/site-packages (from Levenshtein==0.25.1->python-Levenshtein->torch_snippets==0.536) (3.9.4)\n",
-      "Requirement already satisfied: markdown-it-py>=2.2.0 in /opt/miniconda3/lib/python3.12/site-packages (from rich->torch_snippets==0.536) (3.0.0)\n",
-      "Requirement already satisfied: threadpoolctl>=3.1.0 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-learn->torch_snippets==0.536) (3.5.0)\n",
-      "Requirement already satisfied: webencodings in /opt/miniconda3/lib/python3.12/site-packages (from bleach!=5.0.0->nbconvert->torch_snippets==0.536) (0.5.1)\n",
-      "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /opt/miniconda3/lib/python3.12/site-packages (from jedi>=0.16->ipython->torch_snippets==0.536) (0.8.4)\n",
-      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.536) (2023.12.1)\n",
-      "Requirement already satisfied: referencing>=0.28.4 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.536) (0.35.1)\n",
-      "Requirement already satisfied: rpds-py>=0.7.1 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.536) (0.19.0)\n",
-      "Requirement already satisfied: platformdirs>=2.5 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-core>=4.7->nbconvert->torch_snippets==0.536) (3.10.0)\n",
-      "Requirement already satisfied: mdurl~=0.1 in /opt/miniconda3/lib/python3.12/site-packages (from markdown-it-py>=2.2.0->rich->torch_snippets==0.536) (0.1.2)\n",
-      "Requirement already satisfied: jupyter-client>=6.1.12 in /opt/miniconda3/lib/python3.12/site-packages (from nbclient>=0.5.0->nbconvert->torch_snippets==0.536) (8.6.2)\n",
-      "Requirement already satisfied: ptyprocess>=0.5 in /opt/miniconda3/lib/python3.12/site-packages (from pexpect>4.3->ipython->torch_snippets==0.536) (0.7.0)\n",
-      "Requirement already satisfied: wcwidth in /opt/miniconda3/lib/python3.12/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython->torch_snippets==0.536) (0.2.13)\n",
-      "Requirement already satisfied: networkx>=2.8 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.536) (3.3)\n",
-      "Requirement already satisfied: tifffile>=2022.8.12 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.536) (2024.7.24)\n",
-      "Requirement already satisfied: lazy-loader>=0.4 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.536) (0.4)\n",
-      "Requirement already satisfied: distlib<1,>=0.3.7 in /opt/miniconda3/lib/python3.12/site-packages (from virtualenv>=20.10.0->pre-commit->torch_snippets==0.536) (0.3.8)\n",
-      "Requirement already satisfied: filelock<4,>=3.12.2 in /opt/miniconda3/lib/python3.12/site-packages (from virtualenv>=20.10.0->pre-commit->torch_snippets==0.536) (3.15.4)\n",
-      "Requirement already satisfied: soupsieve>1.2 in /opt/miniconda3/lib/python3.12/site-packages (from beautifulsoup4->nbconvert->torch_snippets==0.536) (2.5)\n",
-      "Requirement already satisfied: pure-eval in /opt/miniconda3/lib/python3.12/site-packages (from stack-data->ipython->torch_snippets==0.536) (0.2.3)\n",
-      "Requirement already satisfied: pyzmq>=23.0 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-client>=6.1.12->nbclient>=0.5.0->nbconvert->torch_snippets==0.536) (26.0.3)\n",
-      "Requirement already satisfied: tornado>=6.2 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-client>=6.1.12->nbclient>=0.5.0->nbconvert->torch_snippets==0.536) (6.4.1)\n",
+      "\u001b[?25hRequirement already satisfied: fastcore in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (1.6.3)\n",
+      "Requirement already satisfied: matplotlib in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (3.9.1)\n",
+      "Requirement already satisfied: Pillow in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (10.4.0)\n",
+      "Requirement already satisfied: altair in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (5.3.0)\n",
+      "Requirement already satisfied: dill in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.3.8)\n",
+      "Requirement already satisfied: ipython in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (8.26.0)\n",
+      "Requirement already satisfied: loguru in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.7.2)\n",
+      "Requirement already satisfied: numpy in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.0.1)\n",
+      "Requirement already satisfied: pandas in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.2.2)\n",
+      "Requirement already satisfied: tqdm in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (4.66.4)\n",
+      "Requirement already satisfied: rich in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (13.7.1)\n",
+      "Requirement already satisfied: PyYAML in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (6.0.1)\n",
+      "Requirement already satisfied: catalogue in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.0.10)\n",
+      "Requirement already satisfied: confection in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.1.5)\n",
+      "Requirement already satisfied: pydantic in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.8.2)\n",
+      "Requirement already satisfied: typing in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (3.7.4.3)\n",
+      "Requirement already satisfied: srsly in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.4.8)\n",
+      "Requirement already satisfied: typing_extensions in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (4.12.2)\n",
+      "Requirement already satisfied: wasabi in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (1.1.3)\n",
+      "Requirement already satisfied: jsonlines in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (4.0.0)\n",
+      "Requirement already satisfied: imgaug>=0.4.0 in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.4.0)\n",
+      "Requirement already satisfied: xmltodict in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.13.0)\n",
+      "Requirement already satisfied: fuzzywuzzy in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.18.0)\n",
+      "Requirement already satisfied: scikit-learn in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (1.5.1)\n",
+      "Requirement already satisfied: nltk in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (3.8.1)\n",
+      "Requirement already satisfied: python-Levenshtein in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (0.25.1)\n",
+      "Requirement already satisfied: pre-commit in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (3.7.1)\n",
+      "Requirement already satisfied: pymupdf in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (1.24.9)\n",
+      "Requirement already satisfied: nbconvert in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (7.16.4)\n",
+      "Requirement already satisfied: nbformat in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (5.10.4)\n",
+      "Requirement already satisfied: icecream in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (2.1.3)\n",
+      "Requirement already satisfied: mergedeep in /opt/miniconda3/lib/python3.12/site-packages (from torch_snippets==0.538.1) (1.3.4)\n",
+      "Requirement already satisfied: six in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (1.16.0)\n",
+      "Requirement already satisfied: scipy in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (1.14.0)\n",
+      "Requirement already satisfied: scikit-image>=0.14.2 in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (0.24.0)\n",
+      "Requirement already satisfied: opencv-python in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (4.10.0.84)\n",
+      "Requirement already satisfied: imageio in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (2.34.2)\n",
+      "Requirement already satisfied: Shapely in /opt/miniconda3/lib/python3.12/site-packages (from imgaug>=0.4.0->torch_snippets==0.538.1) (2.0.5)\n",
+      "Requirement already satisfied: jinja2 in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.538.1) (3.1.4)\n",
+      "Requirement already satisfied: jsonschema>=3.0 in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.538.1) (4.23.0)\n",
+      "Requirement already satisfied: packaging in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.538.1) (23.2)\n",
+      "Requirement already satisfied: toolz in /opt/miniconda3/lib/python3.12/site-packages (from altair->torch_snippets==0.538.1) (0.12.1)\n",
+      "Requirement already satisfied: python-dateutil>=2.8.2 in /opt/miniconda3/lib/python3.12/site-packages (from pandas->torch_snippets==0.538.1) (2.9.0.post0)\n",
+      "Requirement already satisfied: pytz>=2020.1 in /opt/miniconda3/lib/python3.12/site-packages (from pandas->torch_snippets==0.538.1) (2024.1)\n",
+      "Requirement already satisfied: tzdata>=2022.7 in /opt/miniconda3/lib/python3.12/site-packages (from pandas->torch_snippets==0.538.1) (2024.1)\n",
+      "Requirement already satisfied: annotated-types>=0.4.0 in /opt/miniconda3/lib/python3.12/site-packages (from pydantic->torch_snippets==0.538.1) (0.7.0)\n",
+      "Requirement already satisfied: pydantic-core==2.20.1 in /opt/miniconda3/lib/python3.12/site-packages (from pydantic->torch_snippets==0.538.1) (2.20.1)\n",
+      "Requirement already satisfied: colorama>=0.3.9 in /opt/miniconda3/lib/python3.12/site-packages (from icecream->torch_snippets==0.538.1) (0.4.6)\n",
+      "Requirement already satisfied: pygments>=2.2.0 in /opt/miniconda3/lib/python3.12/site-packages (from icecream->torch_snippets==0.538.1) (2.18.0)\n",
+      "Requirement already satisfied: executing>=0.3.1 in /opt/miniconda3/lib/python3.12/site-packages (from icecream->torch_snippets==0.538.1) (2.0.1)\n",
+      "Requirement already satisfied: asttokens>=2.0.1 in /opt/miniconda3/lib/python3.12/site-packages (from icecream->torch_snippets==0.538.1) (2.4.1)\n",
+      "Requirement already satisfied: decorator in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (5.1.1)\n",
+      "Requirement already satisfied: jedi>=0.16 in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (0.19.1)\n",
+      "Requirement already satisfied: matplotlib-inline in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (0.1.7)\n",
+      "Requirement already satisfied: prompt-toolkit<3.1.0,>=3.0.41 in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (3.0.47)\n",
+      "Requirement already satisfied: stack-data in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (0.6.3)\n",
+      "Requirement already satisfied: traitlets>=5.13.0 in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (5.14.3)\n",
+      "Requirement already satisfied: pexpect>4.3 in /opt/miniconda3/lib/python3.12/site-packages (from ipython->torch_snippets==0.538.1) (4.9.0)\n",
+      "Requirement already satisfied: attrs>=19.2.0 in /opt/miniconda3/lib/python3.12/site-packages (from jsonlines->torch_snippets==0.538.1) (23.2.0)\n",
+      "Requirement already satisfied: contourpy>=1.0.1 in /opt/miniconda3/lib/python3.12/site-packages (from matplotlib->torch_snippets==0.538.1) (1.2.1)\n",
+      "Requirement already satisfied: cycler>=0.10 in /opt/miniconda3/lib/python3.12/site-packages (from matplotlib->torch_snippets==0.538.1) (0.12.1)\n",
+      "Requirement already satisfied: fonttools>=4.22.0 in /opt/miniconda3/lib/python3.12/site-packages (from matplotlib->torch_snippets==0.538.1) (4.53.1)\n",
+      "Requirement already satisfied: kiwisolver>=1.3.1 in /opt/miniconda3/lib/python3.12/site-packages (from matplotlib->torch_snippets==0.538.1) (1.4.5)\n",
+      "Requirement already satisfied: pyparsing>=2.3.1 in /opt/miniconda3/lib/python3.12/site-packages (from matplotlib->torch_snippets==0.538.1) (3.1.2)\n",
+      "Requirement already satisfied: beautifulsoup4 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (4.12.3)\n",
+      "Requirement already satisfied: bleach!=5.0.0 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (6.1.0)\n",
+      "Requirement already satisfied: defusedxml in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (0.7.1)\n",
+      "Requirement already satisfied: jupyter-core>=4.7 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (5.7.2)\n",
+      "Requirement already satisfied: jupyterlab-pygments in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (0.3.0)\n",
+      "Requirement already satisfied: markupsafe>=2.0 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (2.1.5)\n",
+      "Requirement already satisfied: mistune<4,>=2.0.3 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (3.0.2)\n",
+      "Requirement already satisfied: nbclient>=0.5.0 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (0.10.0)\n",
+      "Requirement already satisfied: pandocfilters>=1.4.1 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (1.5.1)\n",
+      "Requirement already satisfied: tinycss2 in /opt/miniconda3/lib/python3.12/site-packages (from nbconvert->torch_snippets==0.538.1) (1.3.0)\n",
+      "Requirement already satisfied: fastjsonschema>=2.15 in /opt/miniconda3/lib/python3.12/site-packages (from nbformat->torch_snippets==0.538.1) (2.20.0)\n",
+      "Requirement already satisfied: click in /opt/miniconda3/lib/python3.12/site-packages (from nltk->torch_snippets==0.538.1) (8.1.7)\n",
+      "Requirement already satisfied: joblib in /opt/miniconda3/lib/python3.12/site-packages (from nltk->torch_snippets==0.538.1) (1.4.2)\n",
+      "Requirement already satisfied: regex>=2021.8.3 in /opt/miniconda3/lib/python3.12/site-packages (from nltk->torch_snippets==0.538.1) (2024.7.24)\n",
+      "Requirement already satisfied: cfgv>=2.0.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.538.1) (3.4.0)\n",
+      "Requirement already satisfied: identify>=1.0.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.538.1) (2.6.0)\n",
+      "Requirement already satisfied: nodeenv>=0.11.1 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.538.1) (1.9.1)\n",
+      "Requirement already satisfied: virtualenv>=20.10.0 in /opt/miniconda3/lib/python3.12/site-packages (from pre-commit->torch_snippets==0.538.1) (20.26.3)\n",
+      "Requirement already satisfied: PyMuPDFb==1.24.9 in /opt/miniconda3/lib/python3.12/site-packages (from pymupdf->torch_snippets==0.538.1) (1.24.9)\n",
+      "Requirement already satisfied: Levenshtein==0.25.1 in /opt/miniconda3/lib/python3.12/site-packages (from python-Levenshtein->torch_snippets==0.538.1) (0.25.1)\n",
+      "Requirement already satisfied: rapidfuzz<4.0.0,>=3.8.0 in /opt/miniconda3/lib/python3.12/site-packages (from Levenshtein==0.25.1->python-Levenshtein->torch_snippets==0.538.1) (3.9.4)\n",
+      "Requirement already satisfied: markdown-it-py>=2.2.0 in /opt/miniconda3/lib/python3.12/site-packages (from rich->torch_snippets==0.538.1) (3.0.0)\n",
+      "Requirement already satisfied: threadpoolctl>=3.1.0 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-learn->torch_snippets==0.538.1) (3.5.0)\n",
+      "Requirement already satisfied: webencodings in /opt/miniconda3/lib/python3.12/site-packages (from bleach!=5.0.0->nbconvert->torch_snippets==0.538.1) (0.5.1)\n",
+      "Requirement already satisfied: parso<0.9.0,>=0.8.3 in /opt/miniconda3/lib/python3.12/site-packages (from jedi>=0.16->ipython->torch_snippets==0.538.1) (0.8.4)\n",
+      "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.538.1) (2023.12.1)\n",
+      "Requirement already satisfied: referencing>=0.28.4 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.538.1) (0.35.1)\n",
+      "Requirement already satisfied: rpds-py>=0.7.1 in /opt/miniconda3/lib/python3.12/site-packages (from jsonschema>=3.0->altair->torch_snippets==0.538.1) (0.19.0)\n",
+      "Requirement already satisfied: platformdirs>=2.5 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-core>=4.7->nbconvert->torch_snippets==0.538.1) (3.10.0)\n",
+      "Requirement already satisfied: mdurl~=0.1 in /opt/miniconda3/lib/python3.12/site-packages (from markdown-it-py>=2.2.0->rich->torch_snippets==0.538.1) (0.1.2)\n",
+      "Requirement already satisfied: jupyter-client>=6.1.12 in /opt/miniconda3/lib/python3.12/site-packages (from nbclient>=0.5.0->nbconvert->torch_snippets==0.538.1) (8.6.2)\n",
+      "Requirement already satisfied: ptyprocess>=0.5 in /opt/miniconda3/lib/python3.12/site-packages (from pexpect>4.3->ipython->torch_snippets==0.538.1) (0.7.0)\n",
+      "Requirement already satisfied: wcwidth in /opt/miniconda3/lib/python3.12/site-packages (from prompt-toolkit<3.1.0,>=3.0.41->ipython->torch_snippets==0.538.1) (0.2.13)\n",
+      "Requirement already satisfied: networkx>=2.8 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.538.1) (3.3)\n",
+      "Requirement already satisfied: tifffile>=2022.8.12 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.538.1) (2024.7.24)\n",
+      "Requirement already satisfied: lazy-loader>=0.4 in /opt/miniconda3/lib/python3.12/site-packages (from scikit-image>=0.14.2->imgaug>=0.4.0->torch_snippets==0.538.1) (0.4)\n",
+      "Requirement already satisfied: distlib<1,>=0.3.7 in /opt/miniconda3/lib/python3.12/site-packages (from virtualenv>=20.10.0->pre-commit->torch_snippets==0.538.1) (0.3.8)\n",
+      "Requirement already satisfied: filelock<4,>=3.12.2 in /opt/miniconda3/lib/python3.12/site-packages (from virtualenv>=20.10.0->pre-commit->torch_snippets==0.538.1) (3.15.4)\n",
+      "Requirement already satisfied: soupsieve>1.2 in /opt/miniconda3/lib/python3.12/site-packages (from beautifulsoup4->nbconvert->torch_snippets==0.538.1) (2.5)\n",
+      "Requirement already satisfied: pure-eval in /opt/miniconda3/lib/python3.12/site-packages (from stack-data->ipython->torch_snippets==0.538.1) (0.2.3)\n",
+      "Requirement already satisfied: pyzmq>=23.0 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-client>=6.1.12->nbclient>=0.5.0->nbconvert->torch_snippets==0.538.1) (26.0.3)\n",
+      "Requirement already satisfied: tornado>=6.2 in /opt/miniconda3/lib/python3.12/site-packages (from jupyter-client>=6.1.12->nbclient>=0.5.0->nbconvert->torch_snippets==0.538.1) (6.4.1)\n",
       "Installing collected packages: torch_snippets\n",
       "  Attempting uninstall: torch_snippets\n",
-      "    Found existing installation: torch_snippets 0.536\n",
-      "    Uninstalling torch_snippets-0.536:\n",
-      "      Successfully uninstalled torch_snippets-0.536\n",
+      "    Found existing installation: torch_snippets 0.538\n",
+      "    Uninstalling torch_snippets-0.538:\n",
+      "      Successfully uninstalled torch_snippets-0.538\n",
       "  Running setup.py develop for torch_snippets\n",
-      "Successfully installed torch_snippets-0.536\n",
+      "Successfully installed torch_snippets-0.538.1\n",
       "Note: you may need to restart the kernel to use updated packages.\n"
      ]
     }
@@ -162,17 +162,32 @@
   },
   {
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    "metadata": {},
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@@ -198,7 +213,7 @@
   },
   {
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-   "execution_count": 18,
+   "execution_count": 3,
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     {
@@ -236,67 +251,67 @@
       "adding license file 'LICENSE.txt'\n",
       "writing manifest file 'torch_snippets.egg-info/SOURCES.txt'\n",
       "running check\n",
-      "creating torch_snippets-0.537\n",
-      "creating torch_snippets-0.537/torch_snippets\n",
-      "creating torch_snippets-0.537/torch_snippets.egg-info\n",
-      "creating torch_snippets-0.537/torch_snippets/thinc_parser\n",
-      "creating torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying files to torch_snippets-0.537...\n",
-      "copying LICENSE -> torch_snippets-0.537\n",
-      "copying LICENSE.txt -> torch_snippets-0.537\n",
-      "copying MANIFEST.in -> torch_snippets-0.537\n",
-      "copying README.md -> torch_snippets-0.537\n",
-      "copying settings.ini -> torch_snippets-0.537\n",
-      "copying setup.cfg -> torch_snippets-0.537\n",
-      "copying setup.py -> torch_snippets-0.537\n",
-      "copying torch_snippets/__init__.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/_modidx.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/_nbdev.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/adapters.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/bb_utils.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/bokeh_loader.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/charts.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/dates.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/decorators.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/fastcores.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/icecream.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/imgaug_loader.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/inspector.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/interactive_show.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/ipython.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/load_defaults.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/loader.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/logger.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/markup.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/markup2.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/misc.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/paths.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/pdf_loader.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/registry.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/scp.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/sklegos.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/text_utils.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/tmp.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/torch_loader.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets/video.py -> torch_snippets-0.537/torch_snippets\n",
-      "copying torch_snippets.egg-info/PKG-INFO -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/dependency_links.txt -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/not-zip-safe -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/requires.txt -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets.egg-info/top_level.txt -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "copying torch_snippets/thinc_parser/__init__.py -> torch_snippets-0.537/torch_snippets/thinc_parser\n",
-      "copying torch_snippets/thinc_parser/parser.py -> torch_snippets-0.537/torch_snippets/thinc_parser\n",
-      "copying torch_snippets/trainer/__init__.py -> torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying torch_snippets/trainer/capsule.py -> torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying torch_snippets/trainer/config.py -> torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying torch_snippets/trainer/hooks.py -> torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying torch_snippets/trainer/neural_graph.py -> torch_snippets-0.537/torch_snippets/trainer\n",
-      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.537/torch_snippets.egg-info\n",
-      "Writing torch_snippets-0.537/setup.cfg\n",
+      "creating torch_snippets-0.538.1\n",
+      "creating torch_snippets-0.538.1/torch_snippets\n",
+      "creating torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "creating torch_snippets-0.538.1/torch_snippets/thinc_parser\n",
+      "creating torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying files to torch_snippets-0.538.1...\n",
+      "copying LICENSE -> torch_snippets-0.538.1\n",
+      "copying LICENSE.txt -> torch_snippets-0.538.1\n",
+      "copying MANIFEST.in -> torch_snippets-0.538.1\n",
+      "copying README.md -> torch_snippets-0.538.1\n",
+      "copying settings.ini -> torch_snippets-0.538.1\n",
+      "copying setup.cfg -> torch_snippets-0.538.1\n",
+      "copying setup.py -> torch_snippets-0.538.1\n",
+      "copying torch_snippets/__init__.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/_modidx.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/_nbdev.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/adapters.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/bb_utils.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/bokeh_loader.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/charts.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/dates.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/decorators.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/fastcores.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/icecream.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/imgaug_loader.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/inspector.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/interactive_show.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/ipython.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/load_defaults.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/loader.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/logger.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/markup.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/markup2.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/misc.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/paths.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/pdf_loader.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/registry.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/scp.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/sklegos.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/text_utils.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/tmp.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/torch_loader.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets/video.py -> torch_snippets-0.538.1/torch_snippets\n",
+      "copying torch_snippets.egg-info/PKG-INFO -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/dependency_links.txt -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/not-zip-safe -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/requires.txt -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets.egg-info/top_level.txt -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "copying torch_snippets/thinc_parser/__init__.py -> torch_snippets-0.538.1/torch_snippets/thinc_parser\n",
+      "copying torch_snippets/thinc_parser/parser.py -> torch_snippets-0.538.1/torch_snippets/thinc_parser\n",
+      "copying torch_snippets/trainer/__init__.py -> torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying torch_snippets/trainer/capsule.py -> torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying torch_snippets/trainer/config.py -> torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying torch_snippets/trainer/hooks.py -> torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying torch_snippets/trainer/neural_graph.py -> torch_snippets-0.538.1/torch_snippets/trainer\n",
+      "copying torch_snippets.egg-info/SOURCES.txt -> torch_snippets-0.538.1/torch_snippets.egg-info\n",
+      "Writing torch_snippets-0.538.1/setup.cfg\n",
       "creating dist\n",
       "Creating tar archive\n",
-      "removing 'torch_snippets-0.537' (and everything under it)\n",
+      "removing 'torch_snippets-0.538.1' (and everything under it)\n",
       "running bdist_wheel\n",
       "running build\n",
       "running build_py\n",
@@ -401,10 +416,10 @@
       "copying build/lib/torch_snippets/adapters.py -> build/bdist.macosx-11.1-arm64/wheel/torch_snippets\n",
       "copying build/lib/torch_snippets/decorators.py -> build/bdist.macosx-11.1-arm64/wheel/torch_snippets\n",
       "running install_egg_info\n",
-      "Copying torch_snippets.egg-info to build/bdist.macosx-11.1-arm64/wheel/torch_snippets-0.537-py3.12.egg-info\n",
+      "Copying torch_snippets.egg-info to build/bdist.macosx-11.1-arm64/wheel/torch_snippets-0.538.1-py3.12.egg-info\n",
       "running install_scripts\n",
-      "creating build/bdist.macosx-11.1-arm64/wheel/torch_snippets-0.537.dist-info/WHEEL\n",
-      "creating 'dist/torch_snippets-0.537-py3-none-any.whl' and adding 'build/bdist.macosx-11.1-arm64/wheel' to it\n",
+      "creating build/bdist.macosx-11.1-arm64/wheel/torch_snippets-0.538.1.dist-info/WHEEL\n",
+      "creating 'dist/torch_snippets-0.538.1-py3-none-any.whl' and adding 'build/bdist.macosx-11.1-arm64/wheel' to it\n",
       "adding 'torch_snippets/__init__.py'\n",
       "adding 'torch_snippets/_modidx.py'\n",
       "adding 'torch_snippets/_nbdev.py'\n",
@@ -442,21 +457,21 @@
       "adding 'torch_snippets/trainer/config.py'\n",
       "adding 'torch_snippets/trainer/hooks.py'\n",
       "adding 'torch_snippets/trainer/neural_graph.py'\n",
-      "adding 'torch_snippets-0.537.dist-info/LICENSE'\n",
-      "adding 'torch_snippets-0.537.dist-info/LICENSE.txt'\n",
-      "adding 'torch_snippets-0.537.dist-info/METADATA'\n",
-      "adding 'torch_snippets-0.537.dist-info/WHEEL'\n",
-      "adding 'torch_snippets-0.537.dist-info/top_level.txt'\n",
-      "adding 'torch_snippets-0.537.dist-info/RECORD'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/LICENSE'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/LICENSE.txt'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/METADATA'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/WHEEL'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/top_level.txt'\n",
+      "adding 'torch_snippets-0.538.1.dist-info/RECORD'\n",
       "removing build/bdist.macosx-11.1-arm64/wheel\n",
       "Uploading distributions to https://upload.pypi.org/legacy/\n",
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-      "\u001b[?25hUploading torch_snippets-0.537.tar.gz\n",
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+      "Uploading torch_snippets-0.538.1-py3-none-any.whl\n",
+      "\u001b[2K\u001b[35m100%\u001b[0m \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m107.9/107.9 kB\u001b[0m • \u001b[33m00:01\u001b[0m • \u001b[31m386.0 MB/s\u001b[0m\n",
+      "\u001b[?25hUploading torch_snippets-0.538.1.tar.gz\n",
+      "\u001b[2K\u001b[35m100%\u001b[0m \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m95.0/95.0 kB\u001b[0m • \u001b[33m00:00\u001b[0m • \u001b[31m193.1 MB/s\u001b[0m\n",
       "\u001b[?25h\n",
       "\u001b[32mView at:\u001b[0m\n",
-      "https://pypi.org/project/torch-snippets/0.537/\n"
+      "https://pypi.org/project/torch-snippets/0.538.1/\n"
      ]
     }
    ],
@@ -474,12 +489,251 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Quarto is not installed. We will download and install it for you.\n",
-      "Installing or upgrading quarto -- this requires root access.\n",
-      "Password:\n",
-      "sudo: a password is required\n",
-      "Cancelled. Please download and install Quarto from quarto.org.\n",
-      "Password:"
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "#| echo: false\n",
+      "#| output: asis\n",
+      "from nbdev import show_doc\n",
+      "\n",
+      "show_doc(AttrDict)\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "try:\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\")))\n",
+      "except ModuleNotFoundError:\n",
+      "    ...\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "@timeit\n",
+      "@io\n",
+      "def 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",
+      "\n",
+      "foo(10, 11)\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "from torch_snippets.loader import *\n",
+      "from sklearn.datasets import make_moons\n",
+      "\n",
+      "np.random.seed(10)\n",
+      "x, y = make_moons(1000, noise=0.1)\n",
+      "df = pd.DataFrame({\"x1\": x[:, 0], \"x2\": x[:, 1], \"y\": y})\n",
+      "\n",
+      "Chart(df).mark_circle().encode(x=\"x1:Q\", y=\"x2:Q\", color=\"y:N\").interactive()\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "import pandas as pd\n",
+      "\n",
+      "spider(\n",
+      "    pd.DataFrame(\n",
+      "        {\n",
+      "            \"x\": [*\"abcde\"],\n",
+      "            \"c1\": [10, 11, 12, 13, 14],\n",
+      "            \"c2\": [0.1, 0.3, 0.4, 0.1, 0.9],\n",
+      "            \"c3\": [1e5, 2e5, 3.5e5, 8e4, 5e4],\n",
+      "            \"c4\": [9, 12, 5, 2, 0.2],\n",
+      "            \"test\": [1, 1, 1, 1, 5],\n",
+      "        },\n",
+      "        index=[*\"abcde\"],\n",
+      "    ),\n",
+      "    title=\"Sample Spider\",\n",
+      "    padding=1.1,\n",
+      ")\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py:222: UserWarning: Found cells containing imports and other code. See FAQ.\n",
+      "---\n",
+      "import numpy as np\n",
+      "\n",
+      "df = pd.DataFrame(np.random.randn(300, 7) > 0.33).astype(int)\n",
+      "df.columns = [rand() for _ in range(len(df.columns))]\n",
+      "# df['id'] = [rand() for _ in range(len(df))]\n",
+      "df\n",
+      "UpSetAltair(\n",
+      "    df,\n",
+      "    sets=list(df.columns),\n",
+      "    abbre=list(df.columns),\n",
+      "    sort_by=\"frequencey\",\n",
+      "    sort_order=\"ascending\",\n",
+      ")\n",
+      "---\n",
+      "\n",
+      "  warn(f'Found cells containing imports and other code. See FAQ.\\n---\\n{cell.source}\\n---\\n')\n",
+      "concurrent.futures.process._RemoteTraceback: \n",
+      "\"\"\"\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/IPython/core/interactiveshell.py\", line 3577, in run_code\n",
+      "    exec(code_obj, self.user_global_ns, self.user_ns)\n",
+      "  File \"\", line 3, in \n",
+      "    from torch_snippets.bokeh_loader import bshow\n",
+      "  File \"/Users/yeshwanth/Code/Personal/torch_snippets/torch_snippets/bokeh_loader.py\", line 7, in \n",
+      "    from bokeh.io import output_notebook, show as bshow\n",
+      "ModuleNotFoundError: No module named 'bokeh'\n",
+      "\n",
+      "The above exception was the direct cause of the following exception:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/process.py\", line 263, in _process_worker\n",
+      "    r = call_item.fn(*call_item.args, **call_item.kwargs)\n",
+      "        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/process.py\", line 212, in _process_chunk\n",
+      "    return [fn(*args) for args in chunk]\n",
+      "            ^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/parallel.py\", line 61, in _call\n",
+      "    return g(item)\n",
+      "           ^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/serve_drv.py\", line 22, in main\n",
+      "    if src.suffix=='.ipynb': exec_nb(src, dst, x)\n",
+      "                             ^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/serve_drv.py\", line 16, in exec_nb\n",
+      "    cb()(nb)\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py\", line 279, in __call__\n",
+      "    def __call__(self, nb): return self.nb_proc(nb).process()\n",
+      "                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/process.py\", line 127, in process\n",
+      "    for proc in self.procs: self._proc(proc)\n",
+      "                            ^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/process.py\", line 120, in _proc\n",
+      "    for cell in self.nb.cells: self._process_cell(proc, cell)\n",
+      "                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/process.py\", line 111, in _process_cell\n",
+      "    if callable(proc) and not _is_direc(proc): cell = opt_set(cell, proc(cell))\n",
+      "                                                                    ^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/processors.py\", line 241, in __call__\n",
+      "    raise Exception(f\"Error{' in notebook: '+title if title else ''} in cell {cell.idx_} :\\n{cell.source}\") from self.k.exc[1]\n",
+      "Exception: Error in cell 2 :\n",
+      "from pathlib import Path\n",
+      "from torch_snippets import *\n",
+      "from torch_snippets.bokeh_loader import bshow\n",
+      "from bokeh.io import output_notebook, show as bokeh_show, output_file\n",
+      "from bokeh.plotting import figure, from_networkx\n",
+      "from bokeh.models import (\n",
+      "    Circle,\n",
+      "    Rect,\n",
+      "    WheelZoomTool,\n",
+      "    PanTool,\n",
+      "    BoxZoomTool,\n",
+      "    ResetTool,\n",
+      "    MultiLine,\n",
+      "    NodesAndLinkedEdges,\n",
+      "    EdgesAndLinkedNodes,\n",
+      "    HoverTool,\n",
+      "    TapTool,\n",
+      "    BoxSelectTool,\n",
+      ")\n",
+      "from bokeh.palettes import Spectral7\n",
+      "import networkx as nx\n",
+      "import torch\n",
+      "import numpy as np\n",
+      "from fastcore.basics import ifnone\n",
+      "from typing import Optional, Any, Iterable, Union\n",
+      "from torch_snippets.bb_utils import split_bb_to_xyXY, to_absolute, to_relative\n",
+      "\n",
+      "output_notebook()\n",
+      "\"\"\"\n",
+      "\n",
+      "The above exception was the direct cause of the following exception:\n",
+      "\n",
+      "Traceback (most recent call last):\n",
+      "  File \"/opt/miniconda3/bin/nbdev_docs\", line 8, in \n",
+      "    sys.exit(nbdev_docs())\n",
+      "             ^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/script.py\", line 119, in _f\n",
+      "    return tfunc(**merge(args, args_from_prog(func, xtra)))\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/quarto.py\", line 274, in nbdev_docs\n",
+      "    cache,cfg,path = _pre_docs(path, n_workers=n_workers, **kwargs)\n",
+      "                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/quarto.py\", line 202, in _pre_docs\n",
+      "    cache = proc_nbs(path, n_workers=n_workers, **kwargs)\n",
+      "            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/nbdev/serve.py\", line 77, in proc_nbs\n",
+      "    parallel(nbdev.serve_drv.main, files, n_workers=n_workers, pause=0.01, **kw)\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/parallel.py\", line 132, in parallel\n",
+      "    return L(r)\n",
+      "           ^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/foundation.py\", line 98, in __call__\n",
+      "    return super().__call__(x, *args, **kwargs)\n",
+      "           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/foundation.py\", line 106, in __init__\n",
+      "    items = listify(items, *rest, use_list=use_list, match=match)\n",
+      "            ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/site-packages/fastcore/basics.py\", line 66, in listify\n",
+      "    elif is_iter(o): res = list(o)\n",
+      "                           ^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/process.py\", line 642, in _chain_from_iterable_of_lists\n",
+      "    for element in iterable:\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/_base.py\", line 619, in result_iterator\n",
+      "    yield _result_or_cancel(fs.pop())\n",
+      "          ^^^^^^^^^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/_base.py\", line 317, in _result_or_cancel\n",
+      "    return fut.result(timeout)\n",
+      "           ^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/_base.py\", line 449, in result\n",
+      "    return self.__get_result()\n",
+      "           ^^^^^^^^^^^^^^^^^^^\n",
+      "  File \"/opt/miniconda3/lib/python3.12/concurrent/futures/_base.py\", line 401, in __get_result\n",
+      "    raise self._exception\n",
+      "Exception: Error in cell 2 :\n",
+      "from pathlib import Path\n",
+      "from torch_snippets import *\n",
+      "from torch_snippets.bokeh_loader import bshow\n",
+      "from bokeh.io import output_notebook, show as bokeh_show, output_file\n",
+      "from bokeh.plotting import figure, from_networkx\n",
+      "from bokeh.models import (\n",
+      "    Circle,\n",
+      "    Rect,\n",
+      "    WheelZoomTool,\n",
+      "    PanTool,\n",
+      "    BoxZoomTool,\n",
+      "    ResetTool,\n",
+      "    MultiLine,\n",
+      "    NodesAndLinkedEdges,\n",
+      "    EdgesAndLinkedNodes,\n",
+      "    HoverTool,\n",
+      "    TapTool,\n",
+      "    BoxSelectTool,\n",
+      ")\n",
+      "from bokeh.palettes import Spectral7\n",
+      "import networkx as nx\n",
+      "import torch\n",
+      "import numpy as np\n",
+      "from fastcore.basics import ifnone\n",
+      "from typing import Optional, Any, Iterable, Union\n",
+      "from torch_snippets.bb_utils import split_bb_to_xyXY, to_absolute, to_relative\n",
+      "\n",
+      "output_notebook()\n"
      ]
     }
    ],
@@ -489,24 +743,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "[master 55336f9] 0.537\n",
-      " 1 file changed, 18 insertions(+), 17 deletions(-)\n",
-      "Enumerating objects: 5, done.\n",
-      "Counting objects: 100% (5/5), done.\n",
+      "[master 7d0b19f] 0.538.1\n",
+      " 9 files changed, 12 insertions(+), 9 deletions(-)\n",
+      "Enumerating objects: 29, done.\n",
+      "Counting objects: 100% (29/29), done.\n",
       "Delta compression using up to 12 threads\n",
-      "Compressing objects: 100% (3/3), done.\n",
-      "Writing objects: 100% (3/3), 507 bytes | 507.00 KiB/s, done.\n",
-      "Total 3 (delta 2), reused 0 (delta 0), pack-reused 0\n",
-      "remote: Resolving deltas: 100% (2/2), completed with 2 local objects.\u001b[K\n",
+      "Compressing objects: 100% (15/15), done.\n",
+      "Writing objects: 100% (15/15), 1.43 KiB | 1.43 MiB/s, done.\n",
+      "Total 15 (delta 14), reused 0 (delta 0), pack-reused 0\n",
+      "remote: Resolving deltas: 100% (14/14), completed with 14 local objects.\u001b[K\n",
       "To ssh://github.com/sizhky/torch_snippets\n",
-      "   329144a..55336f9  master -> master\n"
+      "   3edebb3..7d0b19f  master -> master\n"
      ]
     }
    ],
@@ -515,6 +769,13 @@
     "!git commit -m {VERSION}\n",
     "!git push"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/settings.ini b/settings.ini
index e330561..23fe0e1 100644
--- a/settings.ini
+++ b/settings.ini
@@ -8,14 +8,14 @@ author = Yeshwanth Reddy
 author_email = 1992chinna@gmail.com
 copyright = sizhky
 branch = master
-version = 0.538.1
+version = 0.539
 min_python = 3.7
 audience = Developers
 language = English
 custom_sidebar = False
 license = apache2
 status = 2
-requirements = fastcore matplotlib Pillow altair dill ipython loguru numpy pandas tqdm rich PyYAML catalogue confection pydantic typing srsly typing_extensions wasabi jsonlines imgaug>=0.4.0 xmltodict fuzzywuzzy scikit-learn nltk python-Levenshtein pre-commit pymupdf nbconvert nbformat icecream mergedeep
+requirements = fastcore matplotlib Pillow altair dill ipython loguru numpy pandas tqdm rich PyYAML catalogue confection pydantic typing srsly typing_extensions wasabi jsonlines imgaug>=0.4.0 xmltodict fuzzywuzzy scikit-learn nltk python-Levenshtein pre-commit pymupdf nbconvert nbformat icecream mergedeep typer
 nbs_path = nbs
 doc_path = docs
 doc_host =  https://%(user)s.github.io
@@ -23,3 +23,4 @@ doc_baseurl = /%(lib_name)s/
 git_url = https://github.com/%(user)s/%(lib_name)s/tree/%(branch)s/
 lib_path = %(lib_name)s
 title = %(lib_name)s
+console_scripts = ts=torch_snippets.cli:cli
\ No newline at end of file
diff --git a/torch_snippets.egg-info/PKG-INFO b/torch_snippets.egg-info/PKG-INFO
index 1a5a774..106c27e 100644
--- a/torch_snippets.egg-info/PKG-INFO
+++ b/torch_snippets.egg-info/PKG-INFO
@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: torch_snippets
-Version: 0.538.1
+Version: 0.539
 Summary: One line functions for common tasks
 Home-page: https://github.com/sizhky/torch_snippets/tree/master/
 Author: Yeshwanth Reddy
@@ -49,6 +49,7 @@ Requires-Dist: nbconvert
 Requires-Dist: nbformat
 Requires-Dist: icecream
 Requires-Dist: mergedeep
+Requires-Dist: typer
 
 # Utilities for simple needs
 
diff --git a/torch_snippets.egg-info/SOURCES.txt b/torch_snippets.egg-info/SOURCES.txt
index 2fe9e53..71f5dc7 100644
--- a/torch_snippets.egg-info/SOURCES.txt
+++ b/torch_snippets.egg-info/SOURCES.txt
@@ -12,6 +12,7 @@ torch_snippets/adapters.py
 torch_snippets/bb_utils.py
 torch_snippets/bokeh_loader.py
 torch_snippets/charts.py
+torch_snippets/cli.py
 torch_snippets/dates.py
 torch_snippets/decorators.py
 torch_snippets/fastcores.py
@@ -29,15 +30,18 @@ torch_snippets/misc.py
 torch_snippets/paths.py
 torch_snippets/pdf_loader.py
 torch_snippets/registry.py
+torch_snippets/s3_loader.py
 torch_snippets/scp.py
 torch_snippets/sklegos.py
 torch_snippets/text_utils.py
 torch_snippets/tmp.py
 torch_snippets/torch_loader.py
 torch_snippets/video.py
+torch_snippets/zen.py
 torch_snippets.egg-info/PKG-INFO
 torch_snippets.egg-info/SOURCES.txt
 torch_snippets.egg-info/dependency_links.txt
+torch_snippets.egg-info/entry_points.txt
 torch_snippets.egg-info/not-zip-safe
 torch_snippets.egg-info/requires.txt
 torch_snippets.egg-info/top_level.txt
diff --git a/torch_snippets.egg-info/entry_points.txt b/torch_snippets.egg-info/entry_points.txt
new file mode 100644
index 0000000..f4bd242
--- /dev/null
+++ b/torch_snippets.egg-info/entry_points.txt
@@ -0,0 +1,2 @@
+[console_scripts]
+ts = torch_snippets.cli:cli
diff --git a/torch_snippets.egg-info/requires.txt b/torch_snippets.egg-info/requires.txt
index bbde90b..767b106 100644
--- a/torch_snippets.egg-info/requires.txt
+++ b/torch_snippets.egg-info/requires.txt
@@ -30,3 +30,4 @@ nbconvert
 nbformat
 icecream
 mergedeep
+typer
diff --git a/torch_snippets/__init__.py b/torch_snippets/__init__.py
index 16baf29..79550c6 100644
--- a/torch_snippets/__init__.py
+++ b/torch_snippets/__init__.py
@@ -1,4 +1,4 @@
-__version__ = "0.538.1"
+__version__ = "0.539"
 from .loader import *
 from .paths import *
 from .markup import *
@@ -22,3 +22,6 @@
     from .torch_loader import *
 except Exception as e:
     ...
+
+from .s3_loader import *
+from .zen import *
diff --git a/torch_snippets/_modidx.py b/torch_snippets/_modidx.py
index f8b1990..0ac1ba6 100644
--- a/torch_snippets/_modidx.py
+++ b/torch_snippets/_modidx.py
@@ -94,6 +94,7 @@
                                        'torch_snippets.charts.spider': ('charts.html#spider', 'torch_snippets/charts.py'),
                                        'torch_snippets.charts.upsetaltair_top_level_configuration': ( 'charts.html#upsetaltair_top_level_configuration',
                                                                                                       'torch_snippets/charts.py')},
+            'torch_snippets.cli': {},
             'torch_snippets.dates': {},
             'torch_snippets.decorators': { 'torch_snippets.decorators.check_kwargs_not_none': ( 'decorators.html#check_kwargs_not_none',
                                                                                                 'torch_snippets/decorators.py'),
@@ -269,17 +270,26 @@
                                         'torch_snippets.markup2.AttrDict.drop': ('markups.html#attrdict.drop', 'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.fetch': ( 'markups.html#attrdict.fetch',
                                                                                    'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.AttrDict.fetch2': ( 'markups.html#attrdict.fetch2',
+                                                                                    'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.find_address': ( 'markups.html#attrdict.find_address',
                                                                                           'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.AttrDict.flatten': ( 'markups.html#attrdict.flatten',
+                                                                                     'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.AttrDict.flatten_and_make_dataframe': ( 'markups.html#attrdict.flatten_and_make_dataframe',
+                                                                                                        'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.get': ('markups.html#attrdict.get', 'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.items': ( 'markups.html#attrdict.items',
                                                                                    'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.keys': ('markups.html#attrdict.keys', 'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.map': ('markups.html#attrdict.map', 'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.AttrDict.merge_addersses': ( 'markups.html#attrdict.merge_addersses',
+                                                                                             'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.pretty': ( 'markups.html#attrdict.pretty',
                                                                                     'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.print_summary': ( 'markups.html#attrdict.print_summary',
                                                                                            'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.AttrDict.set': ('markups.html#attrdict.set', 'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.slice': ( 'markups.html#attrdict.slice',
                                                                                    'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.AttrDict.summary': ( 'markups.html#attrdict.summary',
@@ -301,6 +311,8 @@
                                         'torch_snippets.markup2.hash_pandas_dataframe': ( 'markups.html#hash_pandas_dataframe',
                                                                                           'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.hash_tensor': ('markups.html#hash_tensor', 'torch_snippets/markup2.py'),
+                                        'torch_snippets.markup2.is_attrdict_like': ( 'markups.html#is_attrdict_like',
+                                                                                     'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.isnamedtupleinstance': ( 'markups.html#isnamedtupleinstance',
                                                                                          'torch_snippets/markup2.py'),
                                         'torch_snippets.markup2.pretty_json': ('markups.html#pretty_json', 'torch_snippets/markup2.py'),
@@ -389,6 +401,7 @@
                                          'torch_snippets.registry.parse_string': ( 'registry.html#parse_string',
                                                                                    'torch_snippets/registry.py'),
                                          'torch_snippets.registry.tryeval': ('registry.html#tryeval', 'torch_snippets/registry.py')},
+            'torch_snippets.s3_loader': {},
             'torch_snippets.scp': {},
             'torch_snippets.sklegos': { 'torch_snippets.sklegos.Cat2Num': ('sklegos.html#cat2num', 'torch_snippets/sklegos.py'),
                                         'torch_snippets.sklegos.Cat2Num.__init__': ( 'sklegos.html#cat2num.__init__',
@@ -512,4 +525,5 @@
                                                                                                               'torch_snippets/trainer/config.py')},
             'torch_snippets.trainer.hooks': {},
             'torch_snippets.trainer.neural_graph': {},
-            'torch_snippets.video': {}}}
+            'torch_snippets.video': {},
+            'torch_snippets.zen': {}}}
diff --git a/torch_snippets/cli.py b/torch_snippets/cli.py
new file mode 100644
index 0000000..2599275
--- /dev/null
+++ b/torch_snippets/cli.py
@@ -0,0 +1,21 @@
+from typer import Typer
+from .loader import show as _show
+
+cli = Typer()
+
+
+@cli.command()
+def time():
+    """print the time now, in %Y-%m-%d %H:%M:%S format"""
+    import time
+
+    print(time.strftime("%Y-%m-%d %H:%M:%S"))
+
+
+# Other cool utils
+
+
+@cli.command()
+def show(path):
+    """print the object"""
+    _show(path)
diff --git a/torch_snippets/loader.py b/torch_snippets/loader.py
index 7e2e800..45e47ab 100755
--- a/torch_snippets/loader.py
+++ b/torch_snippets/loader.py
@@ -256,13 +256,18 @@ def readPIL(fname, mode="RGB"):
     return Image.open(str(fname)).convert(mode.upper())
 
 
-def crop_from_bb(im, bb):
+def crop_from_bb(im, bb, padding=None):
     if isinstance(bb, list):
-        return [crop_from_bb(im, _bb) for _bb in bb]
+        return [crop_from_bb(im, _bb, padding=padding) for _bb in bb]
     x, y, X, Y = bb
+    px, py, pX, pY = padding
     if max(x, y, X, Y) < 1.5:
         h, w = im.shape[:2]
         x, y, X, Y = BB(bb).absolute((h, w))
+    y = max(0, y - py)
+    Y = min(h, Y + pY)
+    x = max(0, x - px)
+    X = min(w, X + pX)
     return im.copy()[y:Y, x:X]
 
 
diff --git a/torch_snippets/markup2.py b/torch_snippets/markup2.py
index 527353c..e01c97b 100644
--- a/torch_snippets/markup2.py
+++ b/torch_snippets/markup2.py
@@ -26,7 +26,7 @@
 import os
 from collections.abc import Mapping
 from json import JSONEncoder
-from typing import Union
+from typing import Union, List
 
 import jsonlines
 import xmltodict
@@ -114,6 +114,13 @@ def hash_pandas_dataframe(input):
         return "ID:#"
 
 
+def is_attrdict_like(input):
+    o = isinstance(input, (Mapping, AttrDict)) or all(
+        [hasattr(input, k) for k in ["keys", "values", "items"]]
+    )
+    return o
+
+
 class AttrDict(object):
     """
     Utility class to interact with a dictionary as if it were an object. `AD` is an alias to this class
@@ -238,6 +245,20 @@ def update(self, input):
     def get(self, key, default=None):
         return self.fetch(key) if key in self else default
 
+    def set(self, key, value):
+        if "." in key:
+            _keys = key.split(".")
+            leaf = _keys[-1]
+        else:
+            _keys = [key]
+            leaf = key
+        for _key in _keys:
+            if _key not in self and key != leaf:
+                self[_key] = AD()
+            if _key == leaf:
+                self[_key] = value
+            self = self[_key]
+
     def __iter__(self):
         return iter(self.keys())
 
@@ -355,6 +376,8 @@ def find_address(self, key, current_path=""):
 
     def summary(self, current_path="", depth=0, sep="  ", max_items=10):
         max_items = int(os.environ.get("AD_MAX_ITEMS", max_items))
+        if os.environ.get("AD_SHOW_TAB_STOPS", False):
+            sep = "⋮ "
         sep = os.environ.get("AD_SEP", sep)
 
         def format_path(path, key):
@@ -384,7 +407,10 @@ class Torch:
                 is_np = False
                 if isinstance(item, np.ndarray):
                     is_np = True
-                    item = torch.tensor(item)
+                    try:
+                        item = torch.tensor(item)
+                    except:
+                        item = torch.tensor(item.copy())
                 is_np = "🔦" if not is_np else "np."
                 return f"{sep * depth}{key} - {is_np}{item} - {hash_tensor(item)}\n"
 
@@ -440,7 +466,7 @@ def print_summary(self, **kwargs):
         print(self.summary(**kwargs))
 
     def write_summary(self, to, **kwargs):
-        writelines(self.summary(**kwargs).split("\n"), to)
+        writelines(self.summary(sep="\t", **kwargs).split("\n"), to, mode="w")
 
     def fetch(self, addr):
         if isinstance(addr, (list, L)):
@@ -454,6 +480,87 @@ def fetch(self, addr):
                 o = o[p]
         return o
 
+    def merge_addersses(self, ADs):
+        """Given a list of ADs, merge them into a single AD, which recursively merging the addresses
+        E.g. When input is
+        ```↯ AttrDict ↯
+        01f3daf0-f33a-11ee-a30b-129eb4343ebc.metrics.old.0.recall - 0.5 (🏷️ float)
+        ```
+        ,
+        ```↯ AttrDict ↯
+        01f3daf0-f33a-11ee-a30b-129eb4343ebc.metrics.new.0.recall - 0.7566584022717563 (🏷️ float)
+        ```
+        ,
+        ```↯ AttrDict ↯
+        01f3daf0-f33a-11ee-a30b-129eb4343ebc.metrics.new.1.recall - 0.8080808080808081 (🏷️ float)
+        ```
+        ,
+        ```↯ AttrDict ↯
+        01f3db47-f33a-11ee-a30d-129eb4343ebc.metrics.old.0.recall - 0.5 (🏷️ float)
+        ```
+        Output will be
+        ```↯ AttrDict ↯
+        01f3daf0-f33a-11ee-a30b-129eb4343ebc
+          metrics
+            old[]
+              0
+                recall - 0.5 (🏷️ float)
+            new[]
+              0
+                recall - 0.7566584022717563 (🏷️ float)
+              1
+                recall - 0.8080808080808081 (🏷️ float)
+        01f3db47-f33a-11ee-a30d-129eb4343ebc
+          metrics
+            old[]
+              0
+                recall - 0.5 (🏷️ float)
+        ```
+        """
+        o = AttrDict()
+        for ad in ADs:
+            for k in ad.keys():
+                o.set(k, ad[k])
+        return o
+
+    def flatten(self):
+        """Flatten the AD into a single level AD with keys as dot combined keys"""
+        o = AttrDict()
+        for k in self.keys():
+            v = self[k]
+            if is_attrdict_like(v):
+                v = v.flatten()
+                for _k in v.keys():
+                    o[f"{k}.{_k}"] = v[_k]
+            elif isinstance(v, (list, tuple, set, frozenset, L)):
+                for i, _v in enumerate(v):
+                    if is_attrdict_like(_v):
+                        _v = _v.flatten()
+                        for _k, __v in _v.items():
+                            o[f"{k}.{i}.{_k}"] = __v
+                    else:
+                        o[f"{k}.{i}"] = _v
+            else:
+                o[k] = v
+        return o
+
+    def fetch2(self, *, key=None, addrs=None):
+        """given dot notation address/addresses fetch the value while maintaining the original structure"""
+        if key is not None:
+            addrs = self.find_address(key)
+        if isinstance(addrs, (list, L)):
+            return self.merge_addersses(
+                L([self.fetch2(addrs=_addr) for _addr in addrs])
+            )
+
+        o = self
+        for p in addrs.split("."):
+            try:
+                o = o[int(p)]
+            except:
+                o = o[p]
+        return AttrDict({addrs: o})
+
     def write_config(self, to):
         c = Config(self.dict())
         c.to_disk(to)
@@ -464,6 +571,12 @@ def slice(self, key):
         vs = self.fetch(ks)
         return AttrDict(dict(zip(ks, vs)))
 
+    def flatten_and_make_dataframe(self):
+        import pandas as pd
+
+        df = pd.DataFrame([(*k.split("."), v) for k, v in self.flatten().items()])
+        return df
+
 
 AD = AttrDict
 AD.dict = AD.to_dict
diff --git a/torch_snippets/misc.py b/torch_snippets/misc.py
index 49319c6..b31361c 100644
--- a/torch_snippets/misc.py
+++ b/torch_snippets/misc.py
@@ -5,10 +5,11 @@
 
 # %% ../nbs/misc.ipynb 2
 import time
-from .logger import Debug, Excep, debug_mode
+from .logger import Debug, Excep, debug_mode, Info
 from .markup2 import AD
 from functools import wraps
 from fastcore.basics import ifnone
+from fastcore.foundation import L
 
 # %% ../nbs/misc.ipynb 3
 class Timer:
@@ -106,8 +107,20 @@ def inner(*args, **kwargs):
     return inner
 
 # %% ../nbs/misc.ipynb 12
-def tryy(func=None, *, output_to_return_on_fail=None, print_traceback=False):
+def tryy(
+    func=None,
+    *,
+    output_to_return_on_fail=None,
+    silence_errors=False,
+    print_traceback=False,
+    store_errors: bool = True,
+):
     def decorator(f):
+        if isinstance(store_errors, bool) and store_errors:
+            error_store = []
+        elif isinstance(store_errors, (list, L)):
+            error_store = store_errors
+
         def inner(*args, **kwargs):
             try:
                 return f(*args, **kwargs)
@@ -118,11 +131,31 @@ def inner(*args, **kwargs):
                     import traceback
 
                     tb = traceback.format_exc()
-                Excep(
-                    f"Error for `{f.__name__}` with \n{summarize_input(args, kwargs)}\n{tb}"
-                )
+                if not silence_errors:
+                    Excep(
+                        f"Error for `{f.__name__}` with \n{summarize_input(args, kwargs)}\n{tb}"
+                    )
+                if store_errors is not None:
+                    error_store.append(
+                        AD(
+                            func=f.__name__,
+                            args=args,
+                            kwargs=kwargs,
+                            tb=tb,
+                            err_type=type(e).__name__,
+                        )
+                    )
                 return output_to_return_on_fail
 
+        inner.F = f  # Store reference to the original function
+        inner.error_store = error_store
+
+        def error_summary():
+            import pandas as pd
+
+            return pd.DataFrame([e.dict() for e in error_store])
+
+        inner.error_summary = error_summary
         return inner
 
     if callable(func):
diff --git a/torch_snippets/s3_loader.py b/torch_snippets/s3_loader.py
new file mode 100644
index 0000000..71ce222
--- /dev/null
+++ b/torch_snippets/s3_loader.py
@@ -0,0 +1,15 @@
+from .cli import cli
+from .paths import P, parent, makedir
+from .load_defaults import exists
+
+
+@cli.command()
+def download_s3_folder(s3_location, local_location, completeness_file):
+    from s3fs import S3FileSystem
+
+    s3 = S3FileSystem()
+    completeness_file = P(completeness_file)
+    makedir(parent(local_location))
+    if not exists(completeness_file):
+        s3.download(s3_location, local_location, recursive=True)
+        completeness_file.touch()
diff --git a/torch_snippets/zen.py b/torch_snippets/zen.py
new file mode 100644
index 0000000..128241b
--- /dev/null
+++ b/torch_snippets/zen.py
@@ -0,0 +1,9 @@
+from .cli import cli
+
+
+@cli.command()
+def zen_of(language):
+    if language == "python":
+        import this
+    else:
+        raise NotImplementedError(f"zen of {language} is yet to be found")