From 9bfb025b19d200e655dd4b3a6b11472dbd6457cb Mon Sep 17 00:00:00 2001
From: "Jens A. Koch" <jakoch@web.de>
Date: Sun, 29 Jan 2023 19:49:34 +0100
Subject: [PATCH] update to debian bullseye + drop python2 support

---
 .devcontainer/Dockerfile |  6 +--
 notebooks/test.ipynb     | 99 ++++++++++++++++++++--------------------
 2 files changed, 51 insertions(+), 54 deletions(-)

diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile
index e28c706..6c1586a 100644
--- a/.devcontainer/Dockerfile
+++ b/.devcontainer/Dockerfile
@@ -1,8 +1,8 @@
 # +-----------------------------+
-# | BASE IMAGE             ~27MB|        See https://hub.docker.com/_/debian
+# | BASE IMAGE             ~32MB|        See https://hub.docker.com/_/debian
 # +-----------------------------+
 
-FROM debian:buster-slim
+FROM debian:bullseye-slim
 
 # +-----------------------------+
 # | ARGS                        |
@@ -32,8 +32,6 @@ RUN apt-get update && \
         gcc g++ build-essential cmake build-essential \
         unzip libjpeg-dev libpng-dev libpq-dev \
         imagemagick gnuplot gnuplot-x11 libssl-dev libzmq3-dev graphviz \
-        # py2
-        python-dev python-pip \
         # py3
         python3 \
         python3-dev \
diff --git a/notebooks/test.ipynb b/notebooks/test.ipynb
index cb20791..cef6b21 100644
--- a/notebooks/test.ipynb
+++ b/notebooks/test.ipynb
@@ -1,32 +1,8 @@
 {
- "metadata": {
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.3-final"
-  },
-  "orig_nbformat": 2,
-  "kernelspec": {
-   "name": "python3",
-   "display_name": "Python 3.7.3 64-bit",
-   "metadata": {
-    "interpreter": {
-     "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
-    }
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2,
  "cells": [
   {
+   "cell_type": "markdown",
+   "metadata": {},
    "source": [
     "### Welcome\n",
     "\n",
@@ -35,20 +11,18 @@
     "The next cells contain Python code, which runs interactively. \n",
     "\n",
     "Enjoy!"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {
     "tags": []
    },
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "[0, 1, 2, 3, 4, 5, 6, 7, 8, 9]\n"
      ]
@@ -62,26 +36,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "stream",
      "name": "stdout",
+     "output_type": "stream",
      "text": [
       "Let's plot\n"
      ]
     },
     {
-     "output_type": "display_data",
      "data": {
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\n"
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {
-      "needs_background": "light"
-     }
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -96,19 +69,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
-     "output_type": "display_data",
      "data": {
-      "text/plain": "<Figure size 432x288 with 1 Axes>",
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204.554208 112.96507 \nL 204.504135 113.117226 \nL 204.376734 113.400822 \nL 204.200982 113.836573 \nL 204.068384 114.205535 \nL 204.033888 114.272325 \nL 203.838774 114.708076 \nL 203.668711 115.143828 \nL 203.632632 115.253822 \nL 203.467122 115.579579 \nL 203.282222 116.015331 \nL 203.196881 116.263924 \nL 203.085529 116.451082 \nL 202.882467 116.886834 \nL 202.761129 117.231231 \nL 202.69343 117.322585 \nL 202.465191 117.758337 \nL 202.325378 118.162043 \nL 202.290101 118.194088 \nL 202.01571 118.62984 \nL 201.889626 119.061518 \nL 201.875804 119.065591 \nL 201.484354 119.501343 \nL 201.453875 119.934699 \nL 201.453835 119.937095 \nL 201.359472 120.372846 \nL 201.018123 120.779737 \nL 201.013043 120.808598 \nL 200.841428 121.244349 \nL 200.582372 121.606028 \nL 200.56008 121.680101 \nL 200.353726 122.115852 \nL 200.14662 122.412951 \nL 200.093282 122.551604 \nL 199.862395 122.987355 \nL 199.710869 123.20247 \nL 199.611748 123.423107 \nL 199.359841 123.858858 \nL 199.275117 123.97616 \nL 199.11465 124.29461 \nL 198.843067 124.730361 \nL 198.839366 124.735326 \nL 198.601156 125.166113 \nL 198.403614 125.464408 \nL 198.332981 125.601864 \nL 198.070407 126.037616 \nL 197.967863 126.184103 \nL 197.805376 126.473367 \nL 197.532111 126.893219 \nL 197.52358 126.909119 \nL 197.258662 127.34487 \nL 197.09636 127.579298 \nL 196.978988 127.780622 \nL 196.692119 128.216373 \nL 196.660608 128.259362 \nL 196.413894 128.652125 \nL 196.224857 128.921215 \nL 196.122994 129.087876 \nL 195.827556 129.523628 \nL 195.789105 129.575287 \nL 195.537246 129.959379 \nL 195.353354 130.213823 \nL 195.236624 130.395131 \nL 194.928942 130.830882 \nL 194.917602 130.845707 \nL 194.628069 131.266634 \nL 194.481851 131.461774 \nL 194.318334 131.702385 \nL 194.046099 132.071372 \nL 194.001083 132.138137 \nL 193.684874 132.573888 \nL 193.610348 132.669408 \nL 193.366155 133.00964 \nL 193.174596 133.25775 \nL 193.040512 133.445391 \nL 192.738845 133.838923 \nL 192.708724 133.881143 \nL 192.377842 134.316894 \nL 192.303093 134.409322 \nL 192.043425 134.752646 \nL 191.867342 134.971294 \nL 191.703074 135.188397 \nL 191.43159 135.526154 \nL 191.357272 135.624149 \nL 191.007256 136.0599 \nL 190.995839 136.073405 \nL 190.657722 136.495652 \nL 190.560087 136.611149 \nL 190.302748 136.931403 \nL 190.124336 137.142144 \nL 189.94265 137.367155 \nL 189.688584 137.666382 \nL 189.577677 137.802906 \nL 189.252833 138.183895 \nL 189.208028 138.238658 \nL 188.834923 138.674409 \nL 188.817081 138.694385 \nL 188.459774 139.110161 \nL 188.38133 139.19757 \nL 188.079763 139.545912 \nL 187.945578 139.694583 \nL 187.695015 139.981664 \nL 187.509827 140.185512 \nL 187.305627 140.417415 \nL 187.074075 140.67046 \nL 186.911669 140.853167 \nL 186.638324 141.149537 \nL 186.513188 141.288918 \nL 186.202572 141.622865 \nL 186.110214 141.72467 \nL 185.766821 142.090568 \nL 185.702759 142.160421 \nL 185.331069 142.552774 \nL 185.290821 142.596173 \nL 184.895318 143.009612 \nL 184.874386 143.031924 \nL 184.459566 143.461209 \nL 184.453428 143.467676 \nL 184.028076 143.903427 \nL 184.023815 143.907677 \nL 183.598168 144.339179 \nL 183.588063 144.349161 \nL 183.163422 144.77493 \nL 183.152311 144.785801 \nL 182.723804 145.210682 \nL 182.71656 145.217699 \nL 182.280808 145.644957 \nL 182.279319 145.646433 \nL 181.845057 146.067682 \nL 181.830243 146.082185 \nL 181.409305 146.485987 \nL 181.376264 146.517936 \nL 180.973554 146.899971 \nL 180.917308 146.953688 \nL 180.537802 147.309727 \nL 180.453302 147.389439 \nL 180.102051 147.715343 \nL 179.984172 147.825191 \nL 179.666299 148.116901 \nL 179.509842 148.260942 \nL 179.230548 148.514476 \nL 179.03024 148.696694 \nL 178.794796 148.908139 \nL 178.545295 149.132445 \nL 178.359045 149.297952 \nL 178.054937 149.568197 \nL 177.923293 149.683973 \nL 177.559104 150.003948 \nL 177.487542 150.06625 \nL 177.057738 150.4397 \nL 177.05179 150.444827 \nL 176.616039 150.820374 \nL 176.551891 150.875451 \nL 176.180287 151.192495 \nL 176.040464 151.311203 \nL 175.744536 151.561167 \nL 175.523301 151.746954 \nL 175.308784 151.926414 \nL 175.000369 152.182706 \nL 174.873033 152.288252 \nL 174.471643 152.618457 \nL 174.437281 152.646689 \nL 174.00153 153.002589 \nL 173.937814 153.054209 \nL 173.565778 153.355731 \nL 173.398459 153.48996 \nL 173.130027 153.705672 \nL 172.853183 153.925712 \nL 172.694275 154.052399 \nL 172.302022 154.361463 \nL 172.258524 154.395888 \nL 171.822772 154.737377 \nL 171.745495 154.797215 \nL 171.387021 155.076503 \nL 171.183312 155.232966 \nL 170.951269 155.412548 \nL 170.615271 155.668718 \nL 170.515518 155.745462 \nL 170.079766 156.075898 \nL 170.04158 156.104469 \nL 169.644015 156.405183 \nL 169.462353 156.540221 \nL 169.208263 156.731461 \nL 168.877477 156.975972 \nL 168.772512 157.054656 \nL 168.33676 157.375725 \nL 168.287086 157.411724 \nL 167.901009 157.696032 \nL 167.691113 157.847475 \nL 167.465257 158.013349 \nL 167.089971 158.283227 \nL 167.029506 158.327564 \nL 166.593754 158.641179 \nL 166.483349 158.718978 \nL 166.158003 158.953274 \nL 165.871633 159.15473 \nL 165.722251 159.262329 \nL 165.2865 159.568995 \nL 165.255312 159.590481 \nL 164.850748 159.876544 \nL 164.63352 160.026233 \nL 164.414997 160.181108 \nL 164.008093 160.461984 \nL 163.979245 160.48251 \nL 163.543494 160.785414 \nL 163.377389 160.897736 \nL 163.107742 161.086203 \nL 162.743584 161.333487 \nL 162.671991 161.383861 \nL 162.236239 161.682331 \nL 162.105577 161.769239 \nL 161.800488 161.980146 \nL 161.464829 162.20499 \nL 161.364736 162.274869 \nL 160.928985 162.570022 \nL 160.821201 162.640742 \nL 160.493233 162.865792 \nL 160.175439 163.076493 \nL 160.057482 163.158544 \nL 159.62173 163.451611 \nL 159.52837 163.512245 \nL 159.185979 163.746472 \nL 158.880094 163.947996 \nL 158.750227 164.038451 \nL 158.314476 164.330795 \nL 158.232426 164.383748 \nL 157.878724 164.626197 \nL 157.584773 164.819499 \nL 157.442973 164.918972 \nL 157.007221 165.212092 \nL 156.940207 165.255251 \nL 156.57147 165.50997 \nL 156.296986 165.691002 \nL 156.135718 165.805692 \nL 155.699967 166.101201 \nL 155.660368 166.126754 \nL 155.264215 166.404244 \nL 155.026066 166.562505 \nL 154.828464 166.705982 \nL 154.403261 166.998257 \nL 154.392712 167.006237 \nL 153.956961 167.317569 \nL 153.78364 167.434008 \nL 153.521209 167.629864 \nL 153.178203 167.86976 \nL 153.085458 167.942504 \nL 152.649706 168.261438 \nL 152.58476 168.305511 \nL 152.213955 168.591156 \nL 152.002667 168.741263 \nL 151.778203 168.924617 \nL 151.440802 169.177014 \nL 151.342452 169.262888 \nL 150.9067 169.608268 \nL 150.900361 169.612766 \nL 150.470949 169.975442 \nL 150.373028 170.048517 \nL 150.035197 170.355363 \nL 149.871466 170.484269 \nL 149.599446 170.752189 \nL 149.397538 170.92002 \nL 149.163694 171.17188 \nL 148.953267 171.355772 \nL 148.727943 171.623018 \nL 148.541449 171.791523 \nL 148.292191 172.117367 \nL 148.168219 172.227275 \nL 147.858778 172.663026 \nL 147.85644 172.669045 \nL 147.529137 173.098778 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165.805692 \nL 138.108639 165.691002 \nL 137.834155 165.50997 \nL 137.465418 165.255251 \nL 137.398404 165.212092 \nL 136.962652 164.918972 \nL 136.820852 164.819499 \nL 136.526901 164.626197 \nL 136.173199 164.383748 \nL 136.091149 164.330795 \nL 135.655398 164.038451 \nL 135.525531 163.947996 \nL 135.219646 163.746472 \nL 134.877255 163.512245 \nL 134.783895 163.451611 \nL 134.348143 163.158544 \nL 134.230186 163.076493 \nL 133.912392 162.865792 \nL 133.584424 162.640742 \nL 133.47664 162.570022 \nL 133.040889 162.274869 \nL 132.940796 162.20499 \nL 132.605137 161.980146 \nL 132.300048 161.769239 \nL 132.169386 161.682331 \nL 131.733634 161.383861 \nL 131.662041 161.333487 \nL 131.297883 161.086203 \nL 131.028236 160.897736 \nL 130.862131 160.785414 \nL 130.42638 160.48251 \nL 130.397532 160.461984 \nL 129.990628 160.181108 \nL 129.772105 160.026233 \nL 129.554877 159.876544 \nL 129.150313 159.590481 \nL 129.119125 159.568995 \nL 128.683374 159.262329 \nL 128.533992 159.15473 \nL 128.247622 158.953274 \nL 127.922276 158.718978 \nL 127.811871 158.641179 \nL 127.376119 158.327564 \nL 127.315654 158.283227 \nL 126.940368 158.013349 \nL 126.714512 157.847475 \nL 126.504616 157.696032 \nL 126.118539 157.411724 \nL 126.068865 157.375725 \nL 125.633113 157.054656 \nL 125.528148 156.975972 \nL 125.197362 156.731461 \nL 124.943272 156.540221 \nL 124.76161 156.405183 \nL 124.364045 156.104469 \nL 124.325859 156.075898 \nL 123.890107 155.745462 \nL 123.790354 155.668718 \nL 123.454356 155.412548 \nL 123.222313 155.232966 \nL 123.018604 155.076503 \nL 122.66013 154.797215 \nL 122.582853 154.737377 \nL 122.147101 154.395888 \nL 122.103603 154.361463 \nL 121.71135 154.052399 \nL 121.552442 153.925712 \nL 121.275598 153.705672 \nL 121.007166 153.48996 \nL 120.839847 153.355731 \nL 120.467811 153.054209 \nL 120.404095 153.002589 \nL 119.968344 152.646689 \nL 119.933982 152.618457 \nL 119.532592 152.288252 \nL 119.405256 152.182706 \nL 119.096841 151.926414 \nL 118.882324 151.746954 \nL 118.661089 151.561167 \nL 118.365161 151.311203 \nL 118.225338 151.192495 \nL 117.853734 150.875451 \nL 117.789586 150.820374 \nL 117.353835 150.444827 \nL 117.347887 150.4397 \nL 116.918083 150.06625 \nL 116.846521 150.003948 \nL 116.482332 149.683973 \nL 116.350688 149.568197 \nL 116.04658 149.297952 \nL 115.86033 149.132445 \nL 115.610829 148.908139 \nL 115.375385 148.696694 \nL 115.175077 148.514476 \nL 114.895783 148.260942 \nL 114.739326 148.116901 \nL 114.421453 147.825191 \nL 114.303574 147.715343 \nL 113.952323 147.389439 \nL 113.867823 147.309727 \nL 113.488317 146.953688 \nL 113.432071 146.899971 \nL 113.029361 146.517936 \nL 112.99632 146.485987 \nL 112.575382 146.082185 \nL 112.560568 146.067682 \nL 112.126306 145.646433 \nL 112.124817 145.644957 \nL 111.689065 145.217699 \nL 111.681821 145.210682 \nL 111.253314 144.785801 \nL 111.242203 144.77493 \nL 110.817562 144.349161 \nL 110.807457 144.339179 \nL 110.38181 143.907677 \nL 110.377549 143.903427 \nL 109.952197 143.467676 \nL 109.946059 143.461209 \nL 109.531239 143.031924 \nL 109.510307 143.009612 \nL 109.114804 142.596173 \nL 109.074556 142.552774 \nL 108.702866 142.160421 \nL 108.638804 142.090568 \nL 108.295411 141.72467 \nL 108.203053 141.622865 \nL 107.892437 141.288918 \nL 107.767301 141.149537 \nL 107.493956 140.853167 \nL 107.33155 140.67046 \nL 107.099998 140.417415 \nL 106.895798 140.185512 \nL 106.71061 139.981664 \nL 106.460047 139.694583 \nL 106.325862 139.545912 \nL 106.024295 139.19757 \nL 105.945851 139.110161 \nL 105.588544 138.694385 \nL 105.570702 138.674409 \nL 105.197597 138.238658 \nL 105.152792 138.183895 \nL 104.827948 137.802906 \nL 104.717041 137.666382 \nL 104.462975 137.367155 \nL 104.281289 137.142144 \nL 104.102877 136.931403 \nL 103.845538 136.611149 \nL 103.747903 136.495652 \nL 103.409786 136.073405 \nL 103.398369 136.0599 \nL 103.048353 135.624149 \nL 102.974035 135.526154 \nL 102.702551 135.188397 \nL 102.538283 134.971294 \nL 102.3622 134.752646 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
      },
-     "metadata": {
-      "needs_background": "light"
-     }
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -121,5 +93,32 @@
     "plt.gca().set_aspect(\"equal\");"
    ]
   }
- ]
-}
\ No newline at end of file
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.2"
+  },
+  "orig_nbformat": 2,
+  "vscode": {
+   "interpreter": {
+    "hash": "31f2aee4e71d21fbe5cf8b01ff0e069b9275f58929596ceb00d14d90e3e16cd6"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}