From 70baaeb4e78d12c329a03e929fd30d41730ed2b1 Mon Sep 17 00:00:00 2001
From: Mitja Felicijan <mitja.felicijan@gmail.com>
Date: Sun, 28 Aug 2022 05:39:44 +0200
Subject: Moved statis assets and converted all CSS to Tailwind

---
 content/pages/curriculum-vitae.md                  |    2 +-
 .../2017-03-07-golang-profiling-simplified.md      |    4 +-
 ...ng-python-web-applications-with-visual-tools.md |    6 +-
 content/posts/2017-08-11-simple-iot-application.md |   10 +-
 ...digitalocean-spaces-object-storage-with-fuse.md |   12 +-
 ...01-03-encoding-binary-data-into-dna-sequence.md |    8 +-
 ...g-sentiment-analysis-for-clickbait-detection.md |    4 +-
 .../2020-03-22-simple-sse-based-pubsub-server.md   |    8 +-
 content/posts/2020-09-06-esp-and-micropython.md    |    2 +-
 content/posts/2020-09-08-bind-warning-on-login.md  |    2 +-
 .../posts/2021-01-24-replacing-dropbox-with-s3.md  |    2 +-
 content/posts/2021-01-25-goaccess.md               |    4 +-
 content/posts/2021-06-26-simple-world-clock.md     |    6 +-
 ...n-based-riced-up-distribution-for-developers.md |   18 +-
 ...021-12-25-running-golang-application-as-pid1.md |    6 +-
 .../2021-12-30-wap-mobile-web-before-the-web.md    |    4 +-
 .../posts/2022-06-30-trying-out-helix-editor.md    |    2 +-
 ...22-07-05-what-would-dna-sound-if-synthesized.md |   30 +-
 .../2022-08-13-algae-spotted-on-river-sava.md      |   12 +-
 static/algae-sava/dji-algae-0.jpg                  |  Bin 145615 -> 0 bytes
 static/algae-sava/dji-algae-1.jpg                  |  Bin 154416 -> 0 bytes
 static/algae-sava/dji-algae-2.jpg                  |  Bin 114347 -> 0 bytes
 static/algae-sava/dji-algae-3.jpg                  |  Bin 128019 -> 0 bytes
 static/algae-sava/dji-algae-4.jpg                  |  Bin 217747 -> 0 bytes
 static/algae-sava/dji-algae-5.jpg                  |  Bin 264884 -> 0 bytes
 static/assets/algae-sava/dji-algae-0.jpg           |  Bin 0 -> 145615 bytes
 static/assets/algae-sava/dji-algae-1.jpg           |  Bin 0 -> 154416 bytes
 static/assets/algae-sava/dji-algae-2.jpg           |  Bin 0 -> 114347 bytes
 static/assets/algae-sava/dji-algae-3.jpg           |  Bin 0 -> 128019 bytes
 static/assets/algae-sava/dji-algae-4.jpg           |  Bin 0 -> 217747 bytes
 static/assets/algae-sava/dji-algae-5.jpg           |  Bin 0 -> 264884 bytes
 static/assets/cv/avatar.gif                        |  Bin 0 -> 2174 bytes
 static/assets/dfd-rice/desktop.png                 |  Bin 0 -> 329498 bytes
 static/assets/dfd-rice/install-00.png              |  Bin 0 -> 35695 bytes
 static/assets/dfd-rice/install-01.png              |  Bin 0 -> 28042 bytes
 static/assets/dfd-rice/install-02.png              |  Bin 0 -> 21638 bytes
 static/assets/dfd-rice/install-03.png              |  Bin 0 -> 34698 bytes
 static/assets/dfd-rice/install-04.png              |  Bin 0 -> 28346 bytes
 static/assets/dfd-rice/install-05.png              |  Bin 0 -> 13755 bytes
 static/assets/dfd-rice/installation.svg            | 1388 ++++++++++++++++++++
 static/assets/dfd-rice/layout.png                  |  Bin 0 -> 9072 bytes
 static/assets/dfd-rice/layout.svg                  |   28 +
 static/assets/dfd-rice/script.png                  |  Bin 0 -> 65747 bytes
 static/assets/dna-sequence/benchmarks.ods          |  Bin 0 -> 21911 bytes
 .../assets/dna-sequence/chart-encoding-speed.png   |  Bin 0 -> 14201 bytes
 static/assets/dna-sequence/chart-file-sizes.png    |  Bin 0 -> 12391 bytes
 static/assets/dna-sequence/dna-basics.jpg          |  Bin 0 -> 165883 bytes
 static/assets/dna-sequence/quote.png               |  Bin 0 -> 1068 bytes
 static/assets/dna-sequence/sample-binary-file.png  |  Bin 0 -> 66417 bytes
 static/assets/dna-sequence/sample.png              |  Bin 0 -> 65930 bytes
 static/assets/dna-synthesized/bison/in.txt         |   11 +
 static/assets/dna-synthesized/bison/out.mp3        |  Bin 0 -> 960469 bytes
 static/assets/dna-synthesized/bison/spectogram.png |  Bin 0 -> 52808 bytes
 .../assets/dna-synthesized/elektron/IMG_0619.jpg   |  Bin 0 -> 226025 bytes
 .../assets/dna-synthesized/elektron/IMG_0620.jpg   |  Bin 0 -> 242937 bytes
 .../assets/dna-synthesized/elektron/IMG_0622.jpg   |  Bin 0 -> 279234 bytes
 .../assets/dna-synthesized/elektron/elektron.mp4   |  Bin 0 -> 22478213 bytes
 .../dna-synthesized/elektron/midi-studio.jpg       |  Bin 0 -> 63633 bytes
 static/assets/dna-synthesized/mouse/in.txt         |    9 +
 static/assets/dna-synthesized/mouse/out.mp3        |  Bin 0 -> 864547 bytes
 static/assets/dna-synthesized/mouse/spectogram.png |  Bin 0 -> 114261 bytes
 static/assets/dna-synthesized/quote/in.txt         |    8 +
 static/assets/dna-synthesized/quote/out.mp3        |  Bin 0 -> 678973 bytes
 static/assets/dna-synthesized/quote/spectogram.png |  Bin 0 -> 108863 bytes
 .../dna-synthesized/symphony-no6-1st-movement.mp3  |  Bin 0 -> 11650187 bytes
 .../dna-synthesized/symphony-no6-1st-movement.png  |  Bin 0 -> 245694 bytes
 static/assets/dna-synthesized/taurus/in.txt        |   11 +
 static/assets/dna-synthesized/taurus/out.mp3       |  Bin 0 -> 1056599 bytes
 .../assets/dna-synthesized/taurus/spectogram.png   |  Bin 0 -> 109064 bytes
 static/assets/do-fuse/copy-benchmarks.tsv          |  101 ++
 static/assets/do-fuse/fuse-droplets.png            |  Bin 0 -> 42891 bytes
 static/assets/do-fuse/fuse-spaces.png              |  Bin 0 -> 32450 bytes
 static/assets/do-fuse/sqlite-benchmarks.tsv        | 1001 ++++++++++++++
 static/assets/dropbox-sync/dropbox-spaces.png      |  Bin 0 -> 47661 bytes
 static/assets/esp8366-micropython/boards.jpg       |  Bin 0 -> 98162 bytes
 .../assets/go-profiling/golang-profiling-cpu.pdf   |  Bin 0 -> 16518 bytes
 .../assets/go-profiling/golang-profiling-mem.pdf   |  Bin 0 -> 19221 bytes
 static/assets/goaccess/goaccess-dash-html.png      |  Bin 0 -> 16129 bytes
 static/assets/goaccess/goaccess-dash-term.png      |  Bin 0 -> 9188 bytes
 static/assets/helix-editor/editor.png              |  Bin 0 -> 159442 bytes
 static/assets/iot-application/iot-app-output.png   |  Bin 0 -> 23767 bytes
 static/assets/iot-application/iot-rest-example.png |  Bin 0 -> 33912 bytes
 static/assets/iot-application/iot-sqlite-db.png    |  Bin 0 -> 199821 bytes
 static/assets/iot-application/kcachegrind.png      |  Bin 0 -> 88486 bytes
 static/assets/iot-application/profiling-viewer.png |  Bin 0 -> 173672 bytes
 .../simple-iot-application-overview.svg            |    2 +
 .../iot-application/simple-iot-application.zip     |  Bin 0 -> 6406 bytes
 static/assets/iot-application/snakeviz.png         |  Bin 0 -> 59601 bytes
 static/assets/pid1/boxes.mp4                       |  Bin 0 -> 443830 bytes
 static/assets/pid1/qemu.log                        |  320 +++++
 static/assets/pid1/unikernels.png                  |  Bin 0 -> 48567 bytes
 static/assets/pid1/unikernels.svg                  |  128 ++
 static/assets/profile-bind-error/error.jpg         |  Bin 0 -> 57047 bytes
 static/assets/python-profiling/kcachegrind.png     |  Bin 0 -> 88486 bytes
 .../assets/python-profiling/profiling-viewer.png   |  Bin 0 -> 173672 bytes
 static/assets/python-profiling/snakeviz.png        |  Bin 0 -> 59601 bytes
 .../.ipynb_checkpoints/TF Test-checkpoint.ipynb    |  588 +++++++++
 .../sentiment-analysis-checkpoint.ipynb            |  170 +++
 .../guardian-sa-title-desc-relationship.png        |  Bin 0 -> 15404 bytes
 .../sentiment-analysis/sentiment-analysis.ipynb    |  170 +++
 static/assets/simple-pubsub-server/caniuse.png     |  Bin 0 -> 56379 bytes
 .../simple-pubsub-server/chrome-debugging.png      |  Bin 0 -> 151160 bytes
 static/assets/simple-pubsub-server/clients.m4v     |  Bin 0 -> 369179 bytes
 .../simple-pubsub-server/pubsub-overview.png       |  Bin 0 -> 18471 bytes
 .../simple-pubsub-server/sse-pubsub-server.zip     |  Bin 0 -> 4158 bytes
 static/assets/wap/emulator.mp4                     |  Bin 0 -> 892887 bytes
 static/assets/wap/phones.gif                       |  Bin 0 -> 348891 bytes
 static/assets/world-clock/enclosure.stl            |  Bin 0 -> 1884 bytes
 static/assets/world-clock/hardware.jpg             |  Bin 0 -> 82279 bytes
 static/assets/world-clock/world-clock.jpg          |  Bin 0 -> 148673 bytes
 static/assets/yapyap/hello.png                     |  Bin 0 -> 25962 bytes
 static/assets/yapyap/pid1.jpg                      |  Bin 0 -> 394011 bytes
 static/cv/avatar.gif                               |  Bin 2174 -> 0 bytes
 static/dfd-rice/desktop.png                        |  Bin 329498 -> 0 bytes
 static/dfd-rice/install-00.png                     |  Bin 35695 -> 0 bytes
 static/dfd-rice/install-01.png                     |  Bin 28042 -> 0 bytes
 static/dfd-rice/install-02.png                     |  Bin 21638 -> 0 bytes
 static/dfd-rice/install-03.png                     |  Bin 34698 -> 0 bytes
 static/dfd-rice/install-04.png                     |  Bin 28346 -> 0 bytes
 static/dfd-rice/install-05.png                     |  Bin 13755 -> 0 bytes
 static/dfd-rice/installation.svg                   | 1388 --------------------
 static/dfd-rice/layout.png                         |  Bin 9072 -> 0 bytes
 static/dfd-rice/layout.svg                         |   28 -
 static/dfd-rice/script.png                         |  Bin 65747 -> 0 bytes
 static/dna-sequence/benchmarks.ods                 |  Bin 21911 -> 0 bytes
 static/dna-sequence/chart-encoding-speed.png       |  Bin 14201 -> 0 bytes
 static/dna-sequence/chart-file-sizes.png           |  Bin 12391 -> 0 bytes
 static/dna-sequence/dna-basics.jpg                 |  Bin 165883 -> 0 bytes
 static/dna-sequence/quote.png                      |  Bin 1068 -> 0 bytes
 static/dna-sequence/sample-binary-file.png         |  Bin 66417 -> 0 bytes
 static/dna-sequence/sample.png                     |  Bin 65930 -> 0 bytes
 static/dna-synthesized/bison/in.txt                |   11 -
 static/dna-synthesized/bison/out.mp3               |  Bin 960469 -> 0 bytes
 static/dna-synthesized/bison/spectogram.png        |  Bin 52808 -> 0 bytes
 static/dna-synthesized/elektron/IMG_0619.jpg       |  Bin 226025 -> 0 bytes
 static/dna-synthesized/elektron/IMG_0620.jpg       |  Bin 242937 -> 0 bytes
 static/dna-synthesized/elektron/IMG_0622.jpg       |  Bin 279234 -> 0 bytes
 static/dna-synthesized/elektron/elektron.mp4       |  Bin 22478213 -> 0 bytes
 static/dna-synthesized/elektron/midi-studio.jpg    |  Bin 63633 -> 0 bytes
 static/dna-synthesized/mouse/in.txt                |    9 -
 static/dna-synthesized/mouse/out.mp3               |  Bin 864547 -> 0 bytes
 static/dna-synthesized/mouse/spectogram.png        |  Bin 114261 -> 0 bytes
 static/dna-synthesized/quote/in.txt                |    8 -
 static/dna-synthesized/quote/out.mp3               |  Bin 678973 -> 0 bytes
 static/dna-synthesized/quote/spectogram.png        |  Bin 108863 -> 0 bytes
 .../dna-synthesized/symphony-no6-1st-movement.mp3  |  Bin 11650187 -> 0 bytes
 .../dna-synthesized/symphony-no6-1st-movement.png  |  Bin 245694 -> 0 bytes
 static/dna-synthesized/taurus/in.txt               |   11 -
 static/dna-synthesized/taurus/out.mp3              |  Bin 1056599 -> 0 bytes
 static/dna-synthesized/taurus/spectogram.png       |  Bin 109064 -> 0 bytes
 static/do-fuse/copy-benchmarks.tsv                 |  101 --
 static/do-fuse/fuse-droplets.png                   |  Bin 42891 -> 0 bytes
 static/do-fuse/fuse-spaces.png                     |  Bin 32450 -> 0 bytes
 static/do-fuse/sqlite-benchmarks.tsv               | 1001 --------------
 static/dropbox-sync/dropbox-spaces.png             |  Bin 47661 -> 0 bytes
 static/esp8366-micropython/boards.jpg              |  Bin 98162 -> 0 bytes
 static/go-profiling/golang-profiling-cpu.pdf       |  Bin 16518 -> 0 bytes
 static/go-profiling/golang-profiling-mem.pdf       |  Bin 19221 -> 0 bytes
 static/goaccess/goaccess-dash-html.png             |  Bin 16129 -> 0 bytes
 static/goaccess/goaccess-dash-term.png             |  Bin 9188 -> 0 bytes
 static/helix-editor/editor.png                     |  Bin 159442 -> 0 bytes
 static/iot-application/iot-app-output.png          |  Bin 23767 -> 0 bytes
 static/iot-application/iot-rest-example.png        |  Bin 33912 -> 0 bytes
 static/iot-application/iot-sqlite-db.png           |  Bin 199821 -> 0 bytes
 static/iot-application/kcachegrind.png             |  Bin 88486 -> 0 bytes
 static/iot-application/profiling-viewer.png        |  Bin 173672 -> 0 bytes
 .../simple-iot-application-overview.svg            |    2 -
 static/iot-application/simple-iot-application.zip  |  Bin 6406 -> 0 bytes
 static/iot-application/snakeviz.png                |  Bin 59601 -> 0 bytes
 static/pid1/boxes.mp4                              |  Bin 443830 -> 0 bytes
 static/pid1/qemu.log                               |  320 -----
 static/pid1/unikernels.png                         |  Bin 48567 -> 0 bytes
 static/pid1/unikernels.svg                         |  128 --
 static/profile-bind-error/error.jpg                |  Bin 57047 -> 0 bytes
 static/python-profiling/kcachegrind.png            |  Bin 88486 -> 0 bytes
 static/python-profiling/profiling-viewer.png       |  Bin 173672 -> 0 bytes
 static/python-profiling/snakeviz.png               |  Bin 59601 -> 0 bytes
 .../.ipynb_checkpoints/TF Test-checkpoint.ipynb    |  588 ---------
 .../sentiment-analysis-checkpoint.ipynb            |  170 ---
 .../guardian-sa-title-desc-relationship.png        |  Bin 15404 -> 0 bytes
 static/sentiment-analysis/sentiment-analysis.ipynb |  170 ---
 static/simple-pubsub-server/caniuse.png            |  Bin 56379 -> 0 bytes
 static/simple-pubsub-server/chrome-debugging.png   |  Bin 151160 -> 0 bytes
 static/simple-pubsub-server/clients.m4v            |  Bin 369179 -> 0 bytes
 static/simple-pubsub-server/pubsub-overview.png    |  Bin 18471 -> 0 bytes
 static/simple-pubsub-server/sse-pubsub-server.zip  |  Bin 4158 -> 0 bytes
 static/wap/emulator.mp4                            |  Bin 892887 -> 0 bytes
 static/wap/phones.gif                              |  Bin 348891 -> 0 bytes
 static/world-clock/enclosure.stl                   |  Bin 1884 -> 0 bytes
 static/world-clock/hardware.jpg                    |  Bin 82279 -> 0 bytes
 static/world-clock/world-clock.jpg                 |  Bin 148673 -> 0 bytes
 static/yapyap/hello.png                            |  Bin 25962 -> 0 bytes
 static/yapyap/pid1.jpg                             |  Bin 394011 -> 0 bytes
 themes/simple/layouts/partials/footer.html         |   10 +-
 themes/simple/layouts/partials/head.html           |  179 +--
 themes/simple/layouts/partials/tailwind.html       |  106 ++
 196 files changed, 4122 insertions(+), 4185 deletions(-)
 delete mode 100644 static/algae-sava/dji-algae-0.jpg
 delete mode 100644 static/algae-sava/dji-algae-1.jpg
 delete mode 100644 static/algae-sava/dji-algae-2.jpg
 delete mode 100644 static/algae-sava/dji-algae-3.jpg
 delete mode 100644 static/algae-sava/dji-algae-4.jpg
 delete mode 100644 static/algae-sava/dji-algae-5.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-0.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-1.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-2.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-3.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-4.jpg
 create mode 100644 static/assets/algae-sava/dji-algae-5.jpg
 create mode 100644 static/assets/cv/avatar.gif
 create mode 100644 static/assets/dfd-rice/desktop.png
 create mode 100644 static/assets/dfd-rice/install-00.png
 create mode 100644 static/assets/dfd-rice/install-01.png
 create mode 100644 static/assets/dfd-rice/install-02.png
 create mode 100644 static/assets/dfd-rice/install-03.png
 create mode 100644 static/assets/dfd-rice/install-04.png
 create mode 100644 static/assets/dfd-rice/install-05.png
 create mode 100644 static/assets/dfd-rice/installation.svg
 create mode 100644 static/assets/dfd-rice/layout.png
 create mode 100644 static/assets/dfd-rice/layout.svg
 create mode 100644 static/assets/dfd-rice/script.png
 create mode 100644 static/assets/dna-sequence/benchmarks.ods
 create mode 100644 static/assets/dna-sequence/chart-encoding-speed.png
 create mode 100644 static/assets/dna-sequence/chart-file-sizes.png
 create mode 100644 static/assets/dna-sequence/dna-basics.jpg
 create mode 100644 static/assets/dna-sequence/quote.png
 create mode 100644 static/assets/dna-sequence/sample-binary-file.png
 create mode 100644 static/assets/dna-sequence/sample.png
 create mode 100644 static/assets/dna-synthesized/bison/in.txt
 create mode 100644 static/assets/dna-synthesized/bison/out.mp3
 create mode 100644 static/assets/dna-synthesized/bison/spectogram.png
 create mode 100755 static/assets/dna-synthesized/elektron/IMG_0619.jpg
 create mode 100755 static/assets/dna-synthesized/elektron/IMG_0620.jpg
 create mode 100755 static/assets/dna-synthesized/elektron/IMG_0622.jpg
 create mode 100755 static/assets/dna-synthesized/elektron/elektron.mp4
 create mode 100755 static/assets/dna-synthesized/elektron/midi-studio.jpg
 create mode 100644 static/assets/dna-synthesized/mouse/in.txt
 create mode 100644 static/assets/dna-synthesized/mouse/out.mp3
 create mode 100644 static/assets/dna-synthesized/mouse/spectogram.png
 create mode 100644 static/assets/dna-synthesized/quote/in.txt
 create mode 100644 static/assets/dna-synthesized/quote/out.mp3
 create mode 100644 static/assets/dna-synthesized/quote/spectogram.png
 create mode 100644 static/assets/dna-synthesized/symphony-no6-1st-movement.mp3
 create mode 100644 static/assets/dna-synthesized/symphony-no6-1st-movement.png
 create mode 100644 static/assets/dna-synthesized/taurus/in.txt
 create mode 100644 static/assets/dna-synthesized/taurus/out.mp3
 create mode 100644 static/assets/dna-synthesized/taurus/spectogram.png
 create mode 100644 static/assets/do-fuse/copy-benchmarks.tsv
 create mode 100644 static/assets/do-fuse/fuse-droplets.png
 create mode 100644 static/assets/do-fuse/fuse-spaces.png
 create mode 100644 static/assets/do-fuse/sqlite-benchmarks.tsv
 create mode 100644 static/assets/dropbox-sync/dropbox-spaces.png
 create mode 100644 static/assets/esp8366-micropython/boards.jpg
 create mode 100644 static/assets/go-profiling/golang-profiling-cpu.pdf
 create mode 100644 static/assets/go-profiling/golang-profiling-mem.pdf
 create mode 100644 static/assets/goaccess/goaccess-dash-html.png
 create mode 100644 static/assets/goaccess/goaccess-dash-term.png
 create mode 100644 static/assets/helix-editor/editor.png
 create mode 100644 static/assets/iot-application/iot-app-output.png
 create mode 100644 static/assets/iot-application/iot-rest-example.png
 create mode 100644 static/assets/iot-application/iot-sqlite-db.png
 create mode 100644 static/assets/iot-application/kcachegrind.png
 create mode 100644 static/assets/iot-application/profiling-viewer.png
 create mode 100644 static/assets/iot-application/simple-iot-application-overview.svg
 create mode 100644 static/assets/iot-application/simple-iot-application.zip
 create mode 100644 static/assets/iot-application/snakeviz.png
 create mode 100644 static/assets/pid1/boxes.mp4
 create mode 100644 static/assets/pid1/qemu.log
 create mode 100644 static/assets/pid1/unikernels.png
 create mode 100644 static/assets/pid1/unikernels.svg
 create mode 100644 static/assets/profile-bind-error/error.jpg
 create mode 100644 static/assets/python-profiling/kcachegrind.png
 create mode 100644 static/assets/python-profiling/profiling-viewer.png
 create mode 100644 static/assets/python-profiling/snakeviz.png
 create mode 100644 static/assets/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb
 create mode 100644 static/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
 create mode 100644 static/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png
 create mode 100644 static/assets/sentiment-analysis/sentiment-analysis.ipynb
 create mode 100644 static/assets/simple-pubsub-server/caniuse.png
 create mode 100644 static/assets/simple-pubsub-server/chrome-debugging.png
 create mode 100644 static/assets/simple-pubsub-server/clients.m4v
 create mode 100644 static/assets/simple-pubsub-server/pubsub-overview.png
 create mode 100644 static/assets/simple-pubsub-server/sse-pubsub-server.zip
 create mode 100644 static/assets/wap/emulator.mp4
 create mode 100644 static/assets/wap/phones.gif
 create mode 100644 static/assets/world-clock/enclosure.stl
 create mode 100644 static/assets/world-clock/hardware.jpg
 create mode 100644 static/assets/world-clock/world-clock.jpg
 create mode 100644 static/assets/yapyap/hello.png
 create mode 100644 static/assets/yapyap/pid1.jpg
 delete mode 100644 static/cv/avatar.gif
 delete mode 100644 static/dfd-rice/desktop.png
 delete mode 100644 static/dfd-rice/install-00.png
 delete mode 100644 static/dfd-rice/install-01.png
 delete mode 100644 static/dfd-rice/install-02.png
 delete mode 100644 static/dfd-rice/install-03.png
 delete mode 100644 static/dfd-rice/install-04.png
 delete mode 100644 static/dfd-rice/install-05.png
 delete mode 100644 static/dfd-rice/installation.svg
 delete mode 100644 static/dfd-rice/layout.png
 delete mode 100644 static/dfd-rice/layout.svg
 delete mode 100644 static/dfd-rice/script.png
 delete mode 100644 static/dna-sequence/benchmarks.ods
 delete mode 100644 static/dna-sequence/chart-encoding-speed.png
 delete mode 100644 static/dna-sequence/chart-file-sizes.png
 delete mode 100644 static/dna-sequence/dna-basics.jpg
 delete mode 100644 static/dna-sequence/quote.png
 delete mode 100644 static/dna-sequence/sample-binary-file.png
 delete mode 100644 static/dna-sequence/sample.png
 delete mode 100644 static/dna-synthesized/bison/in.txt
 delete mode 100644 static/dna-synthesized/bison/out.mp3
 delete mode 100644 static/dna-synthesized/bison/spectogram.png
 delete mode 100755 static/dna-synthesized/elektron/IMG_0619.jpg
 delete mode 100755 static/dna-synthesized/elektron/IMG_0620.jpg
 delete mode 100755 static/dna-synthesized/elektron/IMG_0622.jpg
 delete mode 100755 static/dna-synthesized/elektron/elektron.mp4
 delete mode 100755 static/dna-synthesized/elektron/midi-studio.jpg
 delete mode 100644 static/dna-synthesized/mouse/in.txt
 delete mode 100644 static/dna-synthesized/mouse/out.mp3
 delete mode 100644 static/dna-synthesized/mouse/spectogram.png
 delete mode 100644 static/dna-synthesized/quote/in.txt
 delete mode 100644 static/dna-synthesized/quote/out.mp3
 delete mode 100644 static/dna-synthesized/quote/spectogram.png
 delete mode 100644 static/dna-synthesized/symphony-no6-1st-movement.mp3
 delete mode 100644 static/dna-synthesized/symphony-no6-1st-movement.png
 delete mode 100644 static/dna-synthesized/taurus/in.txt
 delete mode 100644 static/dna-synthesized/taurus/out.mp3
 delete mode 100644 static/dna-synthesized/taurus/spectogram.png
 delete mode 100644 static/do-fuse/copy-benchmarks.tsv
 delete mode 100644 static/do-fuse/fuse-droplets.png
 delete mode 100644 static/do-fuse/fuse-spaces.png
 delete mode 100644 static/do-fuse/sqlite-benchmarks.tsv
 delete mode 100644 static/dropbox-sync/dropbox-spaces.png
 delete mode 100644 static/esp8366-micropython/boards.jpg
 delete mode 100644 static/go-profiling/golang-profiling-cpu.pdf
 delete mode 100644 static/go-profiling/golang-profiling-mem.pdf
 delete mode 100644 static/goaccess/goaccess-dash-html.png
 delete mode 100644 static/goaccess/goaccess-dash-term.png
 delete mode 100644 static/helix-editor/editor.png
 delete mode 100644 static/iot-application/iot-app-output.png
 delete mode 100644 static/iot-application/iot-rest-example.png
 delete mode 100644 static/iot-application/iot-sqlite-db.png
 delete mode 100644 static/iot-application/kcachegrind.png
 delete mode 100644 static/iot-application/profiling-viewer.png
 delete mode 100644 static/iot-application/simple-iot-application-overview.svg
 delete mode 100644 static/iot-application/simple-iot-application.zip
 delete mode 100644 static/iot-application/snakeviz.png
 delete mode 100644 static/pid1/boxes.mp4
 delete mode 100644 static/pid1/qemu.log
 delete mode 100644 static/pid1/unikernels.png
 delete mode 100644 static/pid1/unikernels.svg
 delete mode 100644 static/profile-bind-error/error.jpg
 delete mode 100644 static/python-profiling/kcachegrind.png
 delete mode 100644 static/python-profiling/profiling-viewer.png
 delete mode 100644 static/python-profiling/snakeviz.png
 delete mode 100644 static/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb
 delete mode 100644 static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
 delete mode 100644 static/sentiment-analysis/guardian-sa-title-desc-relationship.png
 delete mode 100644 static/sentiment-analysis/sentiment-analysis.ipynb
 delete mode 100644 static/simple-pubsub-server/caniuse.png
 delete mode 100644 static/simple-pubsub-server/chrome-debugging.png
 delete mode 100644 static/simple-pubsub-server/clients.m4v
 delete mode 100644 static/simple-pubsub-server/pubsub-overview.png
 delete mode 100644 static/simple-pubsub-server/sse-pubsub-server.zip
 delete mode 100644 static/wap/emulator.mp4
 delete mode 100644 static/wap/phones.gif
 delete mode 100644 static/world-clock/enclosure.stl
 delete mode 100644 static/world-clock/hardware.jpg
 delete mode 100644 static/world-clock/world-clock.jpg
 delete mode 100644 static/yapyap/hello.png
 delete mode 100644 static/yapyap/pid1.jpg
 create mode 100644 themes/simple/layouts/partials/tailwind.html

diff --git a/content/pages/curriculum-vitae.md b/content/pages/curriculum-vitae.md
index a4ba9e8..fe79fb3 100644
--- a/content/pages/curriculum-vitae.md
+++ b/content/pages/curriculum-vitae.md
@@ -16,7 +16,7 @@ draft: false
 
 <div class="cv-picture">
 
-![Picture](/cv/avatar.gif)
+![Picture](/assets/cv/avatar.gif)
 
 </div>
 
diff --git a/content/posts/2017-03-07-golang-profiling-simplified.md b/content/posts/2017-03-07-golang-profiling-simplified.md
index d784dcc..92ff881 100644
--- a/content/posts/2017-03-07-golang-profiling-simplified.md
+++ b/content/posts/2017-03-07-golang-profiling-simplified.md
@@ -107,5 +107,5 @@ go tool pprof -pdf ./cpu cpu.pprof > cpu.pdf
 
 This will generate PDF document with visualized profile.
 
-- [Memory PDF profile example](/go-profiling/golang-profiling-mem.pdf)
-- [CPU PDF profile example](/go-profiling/golang-profiling-cpu.pdf)
+- [Memory PDF profile example](/assets/go-profiling/golang-profiling-mem.pdf)
+- [CPU PDF profile example](/assets/go-profiling/golang-profiling-cpu.pdf)
diff --git a/content/posts/2017-04-21-profiling-python-web-applications-with-visual-tools.md b/content/posts/2017-04-21-profiling-python-web-applications-with-visual-tools.md
index 3fe8a9d..466d838 100644
--- a/content/posts/2017-04-21-profiling-python-web-applications-with-visual-tools.md
+++ b/content/posts/2017-04-21-profiling-python-web-applications-with-visual-tools.md
@@ -16,7 +16,7 @@ Before we begin there are some requirements. We will need to:
 
 If you are using MacOS you should check out [Profiling Viewer](http://www.profilingviewer.com/) or [MacCallGrind](http://www.maccallgrind.com/).
 
-![KCachegrind](/python-profiling/kcachegrind.png)
+![KCachegrind](/assets/python-profiling/kcachegrind.png)
 
 We will be dividing this post into two main categories:
 
@@ -135,7 +135,7 @@ $ pyprof2calltree -i awesome_random_number.prof
 
 This file can be opened with visualizing tools listed above. In this case we will be using Profilling Viewer under MacOS. You can open image in new tab. As you can see from this example there is hierarchy of execution order  of your code.
 
-![Profilling Viewer](/python-profiling/profiling-viewer.png)
+![Profilling Viewer](/assets/python-profiling/profiling-viewer.png)
 
 > Make sure you  convert output of the cProfile output every time you want to refresh and take a look at your possible optimizations because cProfile updates .prof  file every time browser hits the function.
 
@@ -158,7 +158,7 @@ $ snakeviz awesome_random_number.prof
 # shows visualized profile
 ```
 
-![SnakeViz](/python-profiling/snakeviz.png)
+![SnakeViz](/assets/python-profiling/snakeviz.png)
 
 Reddit user [ccharles](https://www.reddit.com/user/ccharles) suggested a better way for installing pip software by targeting user level instead of using sudo.
 
diff --git a/content/posts/2017-08-11-simple-iot-application.md b/content/posts/2017-08-11-simple-iot-application.md
index b48f2fb..b34fe6b 100644
--- a/content/posts/2017-08-11-simple-iot-application.md
+++ b/content/posts/2017-08-11-simple-iot-application.md
@@ -27,7 +27,7 @@ Step 1. and 3. will share the same web application. One route will be dedicated
 
 Schema below represents what we will try to achieve and how different parts correlates to each other.
 
-![Overview](/iot-application/simple-iot-application-overview.svg)
+![Overview](/assets/iot-application/simple-iot-application-overview.svg)
 
 ## Simple Python API
 
@@ -148,11 +148,11 @@ To run this simply go to folder containing python file and run ```python webapp.
 
 After testing the service with Restlet Client you should be able to view your data in a database file ```data.db```.
 
-![REST settings example](/iot-application/iot-rest-example.png)
+![REST settings example](/assets/iot-application/iot-rest-example.png)
 
 You can also check the contents of new database file by using desktop client for SQLite → [DB Browser for SQLite](http://sqlitebrowser.org/).
 
-![SQLite database example](/iot-application/iot-sqlite-db.png)
+![SQLite database example](/assets/iot-application/iot-sqlite-db.png)
 
 Table structure is as simple as it can be. We have ts (timestamp) and value (value from Arduino). As you can see timestamp is generated on API side. If you would happen to have atomic clock on Arduino it would be then better to generate and send timestamp with the value. This would be particularity useful if we would be collecting sensor data at a higher frequency and then sending this data in bulk to API.
 
@@ -469,9 +469,9 @@ If everything goes well you should be seeing new data-points rendered on chart e
 
 If you navigate to ```http://0.0.0.0:5000``` you should see rendered chart as shown on picture below.
 
-![Application output](/iot-application/iot-app-output.png)
+![Application output](/assets/iot-application/iot-app-output.png)
 
-Complete application with all the code is available for [download](/iot-application/simple-iot-application.zip).
+Complete application with all the code is available for [download](/assets/iot-application/simple-iot-application.zip).
 
 ## Conclusion
 
diff --git a/content/posts/2018-01-16-using-digitalocean-spaces-object-storage-with-fuse.md b/content/posts/2018-01-16-using-digitalocean-spaces-object-storage-with-fuse.md
index 65cc7b5..504e659 100644
--- a/content/posts/2018-01-16-using-digitalocean-spaces-object-storage-with-fuse.md
+++ b/content/posts/2018-01-16-using-digitalocean-spaces-object-storage-with-fuse.md
@@ -26,13 +26,13 @@ To make this work you will need DigitalOcean account. If you don't have one you
 
 Instuctions on how to use SSH keys and how to setup them are available in article [How To Use SSH Keys with DigitalOcean Droplets](https://www.digitalocean.com/community/tutorials/how-to-use-ssh-keys-with-digitalocean-droplets).
 
-![DigitalOcean Droplets](/do-fuse/fuse-droplets.png)
+![DigitalOcean Droplets](/assets/do-fuse/fuse-droplets.png)
 
 After we created Droplet it's time to create new Space. This is done by clicking on a button [Create](https://cloud.digitalocean.com/spaces/new) (right top corner) and selecting Spaces. Choose pronounceable ```Unique name``` because we will use it in examples below. You can either choose Private or Public, it doesn't matter in our case. And you can always change that in the future.
 
 When you have created new Space we should [generate Access key](https://cloud.digitalocean.com/settings/api/tokens). This link will guide to the page when you can generate this key. After you create new one, please save provided Key and Secret because Secret will not be shown again.
 
-![DigitalOcean Spaces](/do-fuse/fuse-spaces.png)
+![DigitalOcean Spaces](/assets/do-fuse/fuse-spaces.png)
 
 Now that we have new Space and Access key we should SSH into our machine.
 
@@ -102,14 +102,14 @@ As I suspected, object size is not really that important. Sadly I don't have the
 
 **Here are plotted results**
 
-You can download [raw result here](/do-fuse/copy-benchmarks.tsv). Measurements are in seconds.
+You can download [raw result here](/assets/do-fuse/copy-benchmarks.tsv). Measurements are in seconds.
 
 <script src="//cdn.plot.ly/plotly-latest.min.js"></script>
 <div id="copy-benchmarks"></div>
 <script>
 (function(){
 	var request = new XMLHttpRequest();
-	request.open("GET", "/do-fuse/copy-benchmarks.tsv", true);
+	request.open("GET", "/assets/do-fuse/copy-benchmarks.tsv", true);
 	request.onload = function() {
 		if (request.status >= 200 && request.status < 400) {
 			var payload = request.responseText.trim();
@@ -218,13 +218,13 @@ result_time = CLOSE = end_time - start_time
 print("CLOSE: %g seconds" % (result_time))
 ```
 
-You can download [raw result here](/do-fuse/sqlite-benchmarks.tsv). And again, these results are done on a local block storage and do not represent capabilities of object storage. With my current approach and state of the test code these can not be done. I would need to make Python code much more robust and check locking etc.
+You can download [raw result here](/assets/do-fuse/sqlite-benchmarks.tsv). And again, these results are done on a local block storage and do not represent capabilities of object storage. With my current approach and state of the test code these can not be done. I would need to make Python code much more robust and check locking etc.
 
 <div id="sqlite-benchmarks"></div>
 <script>
 (function(){
 	var request = new XMLHttpRequest();
-	request.open("GET", "/do-fuse/sqlite-benchmarks.tsv", true);
+	request.open("GET", "/assets/do-fuse/sqlite-benchmarks.tsv", true);
 	request.onload = function() {
 		if (request.status >= 200 && request.status < 400) {
 			var payload = request.responseText.trim();
diff --git a/content/posts/2019-01-03-encoding-binary-data-into-dna-sequence.md b/content/posts/2019-01-03-encoding-binary-data-into-dna-sequence.md
index ff346d4..a4fd1d7 100644
--- a/content/posts/2019-01-03-encoding-binary-data-into-dna-sequence.md
+++ b/content/posts/2019-01-03-encoding-binary-data-into-dna-sequence.md
@@ -81,7 +81,7 @@ Deoxyribonucleic acid, a self-replicating material which is **present in nearly
 
 The nucleotide in DNA consists of a sugar (deoxyribose), one of four bases (cytosine (C), thymine (T), adenine (A), guanine (G)), and a phosphate. Cytosine and thymine are pyrimidine bases, while adenine and guanine are purine bases. The sugar and the base together are called a nucleoside.
 
-![DNA](/dna-sequence/dna-basics.jpg)
+![DNA](/assets/dna-sequence/dna-basics.jpg)
 
 *DNA (a) forms a double stranded helix, and (b) adenine pairs with thymine and cytosine pairs with guanine. (credit a: modification of work by Jerome Walker, Dennis Myts)*
 
@@ -246,11 +246,11 @@ Then we encode FASTA file from previous operation to encode this data into PNG.
 
 After encoding into PNG format this file looks like this.
 
-![Encoded Quote in PNG format](/dna-sequence/quote.png)
+![Encoded Quote in PNG format](/assets/dna-sequence/quote.png)
 
 The larger the input stream is the larger the PNG file would be.
 
-Compiled basic Hello World C program with [GCC](https://www.gnu.org/software/gcc/) would [look like](/dna-sequence/sample.png).
+Compiled basic Hello World C program with [GCC](https://www.gnu.org/software/gcc/) would [look like](/assets/dna-sequence/sample.png).
 
 ```c
 // gcc -O3 -o sample sample.c
@@ -313,7 +313,7 @@ dd if=<(openssl enc -aes-256-ctr  -pass pass:"$(dd if=/dev/urandom bs=128 count=
 
 Our freshly generated 1KB file looks something like this (its full of garbage data as intended).
 
-![Sample binary file 1KB](/dna-sequence/sample-binary-file.png)
+![Sample binary file 1KB](/assets/dna-sequence/sample-binary-file.png)
 
 We create following binary files:
 - 1KB.bin
diff --git a/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md b/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md
index 0f5d994..30b0fd4 100644
--- a/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md
+++ b/content/posts/2019-10-19-using-sentiment-analysis-for-clickbait-detection.md
@@ -72,11 +72,11 @@ plt.show()
 2. Rule-based approach may not be the best way of doing this. By using deep learning we would be able to get better insights.
 3. **Next step would be to** periodically fetch RSS items and store them over a longer period of time and then perform analysis again and use either machine learning or deep learning on top of it.
 
-![Relationship between title and description](/sentiment-analysis/guardian-sa-title-desc-relationship.png)
+![Relationship between title and description](/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png)
 
 Figure above displays difference between title and description sentiment for specific RSS feed item. 1 means positive and -1 means negative sentiment.
 
-[» Download Jupyter Notebook](/sentiment-analysis/sentiment-analysis.ipynb)
+[» Download Jupyter Notebook](/assets/sentiment-analysis/sentiment-analysis.ipynb)
 
 ## Going further
 
diff --git a/content/posts/2020-03-22-simple-sse-based-pubsub-server.md b/content/posts/2020-03-22-simple-sse-based-pubsub-server.md
index 0a039e6..939a62d 100644
--- a/content/posts/2020-03-22-simple-sse-based-pubsub-server.md
+++ b/content/posts/2020-03-22-simple-sse-based-pubsub-server.md
@@ -21,7 +21,7 @@ Publisher Subscriber model is nothing new and there are many amazing solutions o
 
 The easiest way to explain this is with diagram bellow. Basic function is simple. We have subscribers that receive messages, and we have publishers that create and post messages. Similar model is also well know pattern that works on a premise of consumers and producers, and they take similar roles.
 
-![How PubSub works](/simple-pubsub-server/pubsub-overview.png)
+![How PubSub works](/assets/simple-pubsub-server/pubsub-overview.png)
 
 **These are some naive characteristics we want to achieve:**
 
@@ -47,7 +47,7 @@ Read more about it on [official specification page](https://html.spec.whatwg.org
 
 ### Current browser support
 
-![Browser support](../simple-pubsub-server/caniuse.png)
+![Browser support](/assets/simple-pubsub-server/caniuse.png)
 
 Check [https://caniuse.com/#feat=eventsource](https://caniuse.com/#feat=eventsource) for latest information about browser support.
 
@@ -105,7 +105,7 @@ Google Chrome provides build-in debugging and exploration tool for [Server-Sent
 
 > You can debug only client side events that get received and not the server ones. For debugging server events add `console.log` to `server.js` code and print out events.
 
-![Google Chrome Developer Tools EventStream](../simple-pubsub-server/chrome-debugging.png)
+![Google Chrome Developer Tools EventStream](/assets/simple-pubsub-server/chrome-debugging.png)
 
 ## Server implementation
 
@@ -234,7 +234,7 @@ One example would be, that we have index page and we want to receive messages ab
 
 ### Publisher and subscriber in action
 
-<video src="/simple-pubsub-server/clients.m4v" controls></video>
+<video src="/assets/simple-pubsub-server/clients.m4v" controls></video>
 
 You can download [the code](../simple-pubsub-server/sse-pubsub-server.zip) and follow along.
 
diff --git a/content/posts/2020-09-06-esp-and-micropython.md b/content/posts/2020-09-06-esp-and-micropython.md
index 4b6e568..75e8295 100644
--- a/content/posts/2020-09-06-esp-and-micropython.md
+++ b/content/posts/2020-09-06-esp-and-micropython.md
@@ -23,7 +23,7 @@ A while ago I bought some [ESP8266](https://www.espressif.com/en/products/socs/e
 
 For my project, I used [ESP32](https://www.espressif.com/en/products/socs/esp32) but I could easily choose [ESP8266](https://www.espressif.com/en/products/socs/esp8266). This guide contains which tools I use and how I prepared my workspace to code for [ESP8266](https://www.espressif.com/en/products/socs/esp8266).
 
-![ESP8266 and ESP32 boards](/esp8366-micropython/boards.jpg)
+![ESP8266 and ESP32 boards](/assets/esp8366-micropython/boards.jpg)
 
 This guide covers:
 - flashing SOC
diff --git a/content/posts/2020-09-08-bind-warning-on-login.md b/content/posts/2020-09-08-bind-warning-on-login.md
index 3f276c6..62c421d 100644
--- a/content/posts/2020-09-08-bind-warning-on-login.md
+++ b/content/posts/2020-09-08-bind-warning-on-login.md
@@ -21,7 +21,7 @@ bind '"\e[Z":menu-complete-backward'
 
 I haven't noticed anything wrong with this and all was working fine until I restarted my machine and then I got this error.
 
-![Profile bind error](/profile-bind-error/error.jpg)
+![Profile bind error](/assets/profile-bind-error/error.jpg)
 
 When I pressed OK, I got into the [Gnome shell](https://wiki.gnome.org/Projects/GnomeShell) and all was working fine, but the error was still bugging me. I started looking for the reason why this is happening and found a solution to this error on [Remote SSH Commands - bash bind warning: line editing not enabled](https://superuser.com/a/892682).
 
diff --git a/content/posts/2021-01-24-replacing-dropbox-with-s3.md b/content/posts/2021-01-24-replacing-dropbox-with-s3.md
index 12fb8cf..f44aa63 100644
--- a/content/posts/2021-01-24-replacing-dropbox-with-s3.md
+++ b/content/posts/2021-01-24-replacing-dropbox-with-s3.md
@@ -78,7 +78,7 @@ You can use this script in a combination with [Cron](https://en.wikipedia.org/wi
 
 When you start syncing your local stuff with a remote server you can review your items on DigitalOcean.
 
-![Dropbox Spaces](/dropbox-sync/dropbox-spaces.png)
+![Dropbox Spaces](/assets/dropbox-sync/dropbox-spaces.png)
 
 I have been using this script now for quite some time, and it's working flawlessly. I also uninstalled Dropbox and stopped using it completely.
 
diff --git a/content/posts/2021-01-25-goaccess.md b/content/posts/2021-01-25-goaccess.md
index 2f3d56b..ba1e10c 100644
--- a/content/posts/2021-01-25-goaccess.md
+++ b/content/posts/2021-01-25-goaccess.md
@@ -31,10 +31,10 @@ I found this amazing software [GoAccess](https://goaccess.io/) which provides al
 
 GoAccess can be used in two different modes.
 
-![GoAccess Terminal](/goaccess/goaccess-dash-term.png)
+![GoAccess Terminal](/assets/goaccess/goaccess-dash-term.png)
 <center><i>Running in a terminal</i></center>
 
-![GoAccess HTML](/goaccess/goaccess-dash-html.png)
+![GoAccess HTML](/assets/goaccess/goaccess-dash-html.png)
 <center><i>Running in a browser</i></center>
 
 I, however, need this to run in a browser. So, the second option is the way to go. The Idea is to periodically run cronjob and export this report into a folder that gets then server by Nginx behind a Basic authentication.
diff --git a/content/posts/2021-06-26-simple-world-clock.md b/content/posts/2021-06-26-simple-world-clock.md
index e06d534..80d1e32 100644
--- a/content/posts/2021-06-26-simple-world-clock.md
+++ b/content/posts/2021-06-26-simple-world-clock.md
@@ -13,7 +13,7 @@ But I also have a bunch of electronics that I bought through the time, and I am
 
 A while ago I bought a small eInk display [Inky pHAT](https://shop.pimoroni.com/products/inky-phat?variant=12549254217811) and I have a bunch of [Raspberry Pi's Zero](https://www.raspberrypi.org/products/raspberry-pi-zero/) lying around that I really need to use.
 
-![Inky pHAT, Raspberry Pi Zero](/world-clock/hardware.jpg)
+![Inky pHAT, Raspberry Pi Zero](/assets/world-clock/hardware.jpg)
 
 Since the Inky [Inky pHAT](https://shop.pimoroni.com/products/inky-phat?variant=12549254217811) is essentially a HAT, it can easily be added on top of the [Raspberry Pi Zero](https://www.raspberrypi.org/products/raspberry-pi-zero/).
 
@@ -78,10 +78,10 @@ Then we add a cronjob with `crontab -e`.
 
 So, we end up with a result like this.
 
-![World Clock](/world-clock/world-clock.jpg)
+![World Clock](/assets/world-clock/world-clock.jpg)
 
 And for the enclosure that can be 3D printed, but I haven't yet something like this can be used.
 
 <iframe id="vs_iframe" src="https://www.viewstl.com/?embedded&url=https%3A%2F%2Fmitjafelicijan.com%2Fassets%2Fworld-clock%2Fenclosure.stl&color=gray&bgcolor=white&edges=no&orientation=front&noborder=no" style="border:0;margin:0;width:100%;height:400px;"></iframe>
 
-You can download my [STL file for the enclosure here](/world-clock/enclosure.stl), but make sure that dimensions make sense and also opening for USB port should be added or just use a drill and some hot glue to make it stick in the enclosure.
+You can download my [STL file for the enclosure here](/assets/world-clock/enclosure.stl), but make sure that dimensions make sense and also opening for USB port should be added or just use a drill and some hot glue to make it stick in the enclosure.
diff --git a/content/posts/2021-12-03-debian-based-riced-up-distribution-for-developers.md b/content/posts/2021-12-03-debian-based-riced-up-distribution-for-developers.md
index 1f5bd89..5981392 100644
--- a/content/posts/2021-12-03-debian-based-riced-up-distribution-for-developers.md
+++ b/content/posts/2021-12-03-debian-based-riced-up-distribution-for-developers.md
@@ -43,28 +43,28 @@ I didn't want this to just be a set of config files for theming purpose. I wante
 
 First, I choose terminal installer and left it to load additional components. Avoid using graphical installer in this case.
 
-![](/dfd-rice/install-00.png)
+![](/assets/dfd-rice/install-00.png)
 
 After that I selected hostname and created a normal user and set password for that user and root user and choose guided mode for disk partitioning.
 
-![](/dfd-rice/install-01.png)
+![](/assets/dfd-rice/install-01.png)
 
 I left it run to install all the things required for the base system and opted out of scanning additional media for use by the package manager. Those will be downloaded from the internet during installation.
 
-![](/dfd-rice/install-02.png)
+![](/assets/dfd-rice/install-02.png)
 
 
 I opted out of the popularity contest, and **now comes the important part**. Uncheck all the boxes in Software selection and only leave 'standard system utilities'. I also left an SSH server, so I was able to log in to the machine from my main PC.
 
-![](/dfd-rice/install-03.png)
+![](/assets/dfd-rice/install-03.png)
 
 At this point, I installed GRUB bootloader on the disk where I installed the system.
 
-![](/dfd-rice/install-04.png)
+![](/assets/dfd-rice/install-04.png)
 
 That concluded the installation of base Debian and after restarting the computer I was prompted with the login screen.
 
-![](/dfd-rice/install-05.png)
+![](/assets/dfd-rice/install-05.png)
 
 Now that I had the base installation, it was time to choose what software do I want to include in this so-called distribution. I wanted out of the box developer experience, so I had plenty to choose.
 
@@ -84,7 +84,7 @@ One of the requirements for me was easy custom layouts because I use a really st
 
 What I was doing in Gnome was having windows in a layout like the diagram below. This is my common practice. And if you look at it you can clearly see I was replicating tiling window manager setup in Gnome.
 
-![](/dfd-rice/layout.png)
+![](/assets/dfd-rice/layout.png)
 
 
 That made me look into a bunch of tiling window managers and then tested them out. Candidates I was looking at were:
@@ -144,7 +144,7 @@ Currently, most of these recipes use what Debian and this is totally fine with m
 
 This is some of the output from the installation script.
 
-![](/dfd-rice/script.png)
+![](/assets/dfd-rice/script.png)
 
 Let's take a look at some examples in the installation script.
 
@@ -191,4 +191,4 @@ The current version boots in 4s to the login prompt, and after you log in, the d
 
 And this is how it looks with two terminals side by side. I really like the simplicity and clean interface. I will polish the colors and stuff like that, but I really do like the results.
 
-![](/dfd-rice/desktop.png)
+![](/assets/dfd-rice/desktop.png)
diff --git a/content/posts/2021-12-25-running-golang-application-as-pid1.md b/content/posts/2021-12-25-running-golang-application-as-pid1.md
index 2f49466..7a62d1c 100644
--- a/content/posts/2021-12-25-running-golang-application-as-pid1.md
+++ b/content/posts/2021-12-25-running-golang-application-as-pid1.md
@@ -28,7 +28,7 @@ I really like the explanation from the article [Unikernels: Rise of the Virtual
 
 If we compare a normal operating system to a unikernel side by side, they would look something like this.
 
-![Virtual machines vs Containers vs Unikernels](/pid1/unikernels.png)
+![Virtual machines vs Containers vs Unikernels](/assets/pid1/unikernels.png)
 
 From this image, we can see how the complexity significantly decreases with the use of Unikernels. This comes with a price, of course. Unikernels are hard to get running and require a lot of work since you don't have an actual proper kernel running in the background providing network access and drivers etc.
 
@@ -221,7 +221,7 @@ Hello from Golang
 Hello from Golang
 ```
 
-The whole [log file here](/pid1/qemu.log).
+The whole [log file here](/assets/pid1/qemu.log).
 
 ## Size comparison
 
@@ -290,7 +290,7 @@ genisoimage -R                              \
 
 This will produce `GoAsPID1.iso` which you can use with [Virtualbox](https://www.virtualbox.org/) or [Gnome Boxes](https://apps.gnome.org/app/org.gnome.Boxes/).
 
-<video src="/pid1/boxes.mp4" controls></video>
+<video src="/assets/pid1/boxes.mp4" controls></video>
 
 ## Is running applications as PID 1 even worth it?
 
diff --git a/content/posts/2021-12-30-wap-mobile-web-before-the-web.md b/content/posts/2021-12-30-wap-mobile-web-before-the-web.md
index e5f6714..49a7116 100644
--- a/content/posts/2021-12-30-wap-mobile-web-before-the-web.md
+++ b/content/posts/2021-12-30-wap-mobile-web-before-the-web.md
@@ -29,7 +29,7 @@ These phones were rocking:
 
 Let's take a look at these beauties.
 
-![Old phones](/wap/phones.gif)
+![Old phones](/assets/wap/phones.gif)
 
 ## WAP - Wireless Application Protocol
 
@@ -146,7 +146,7 @@ If you look at the python file, I convert all the images into tiny B&W images. T
 
 Because I currently don't have a phone old enough to test it on, I used an emulator. And it was really hard to find one. I found [WAP Proof](http://wap-proof.sharewarejunction.com/) on shareware junction, and it did the job well enough. I will try to find and actual device to test it on.
 
-<video src="/wap/emulator.mp4" controls></video>
+<video src="/assets/wap/emulator.mp4" controls></video>
 
 If you are using Nginx to serve the contents, add a directive to the hosts file that will automatically server `index.wml` file.
 
diff --git a/content/posts/2022-06-30-trying-out-helix-editor.md b/content/posts/2022-06-30-trying-out-helix-editor.md
index 8286735..5e25980 100644
--- a/content/posts/2022-06-30-trying-out-helix-editor.md
+++ b/content/posts/2022-06-30-trying-out-helix-editor.md
@@ -25,7 +25,7 @@ I am still getting used to the keyboard shortcuts and getting better. What Helix
 
 And it comes us packed with many [really good themes](https://github.com/helix-editor/helix/wiki/Themes).
 
-![Editor](/helix-editor/editor.png)
+![Editor](/assets/helix-editor/editor.png)
 
 It's still young but has this mature feeling to it. It has sane defaults and mimics Vim (works a bit differently, but the overall idea is similar).
 
diff --git a/content/posts/2022-07-05-what-would-dna-sound-if-synthesized.md b/content/posts/2022-07-05-what-would-dna-sound-if-synthesized.md
index c028ec2..ba5cc4b 100644
--- a/content/posts/2022-07-05-what-would-dna-sound-if-synthesized.md
+++ b/content/posts/2022-07-05-what-would-dna-sound-if-synthesized.md
@@ -145,10 +145,10 @@ sox output.wav -n spectrogram -o spectrogram.png
 An example spectrogram of Ludwig van Beethoven Symphony No. 6 First movement.
 
 <audio controls>
-  <source src="/dna-synthesized/symphony-no6-1st-movement.mp3" type="audio/mpeg">
+  <source src="/assets/dna-synthesized/symphony-no6-1st-movement.mp3" type="audio/mpeg">
 </audio>
 
-![Ludwig van Beethoven Symphony No. 6 First movement](/dna-synthesized/symphony-no6-1st-movement.png)
+![Ludwig van Beethoven Symphony No. 6 First movement](/assets/dna-synthesized/symphony-no6-1st-movement.png)
 
 The other option could also be in combination with [gnuplot](http://www.gnuplot.info/). This would require an intermediary step, however.
 
@@ -194,40 +194,40 @@ What I did was take interesting parts from an animal's genome and feed it to a t
 ### Niels Bohr quote
 
 <audio controls>
-  <source src="/dna-synthesized/quote/out.mp3" type="audio/mpeg">
+  <source src="/assets/dna-synthesized/quote/out.mp3" type="audio/mpeg">
 </audio>
 
-![Spectogram](/dna-synthesized/quote/spectogram.png)
+![Spectogram](/assets/dna-synthesized/quote/spectogram.png)
 
 ### Mouse
 
 This is part of a mouse genome `Mus_musculus.GRCm39.dna.nonchromosomal`. You can get [genom data here](http://ftp.ensembl.org/pub/release-106/fasta/mus_musculus/dna/).
 
 <audio controls>
-  <source src="/dna-synthesized/mouse/out.mp3" type="audio/mpeg">
+  <source src="/assets/dna-synthesized/mouse/out.mp3" type="audio/mpeg">
 </audio>
 
-![Spectogram](/dna-synthesized/mouse/spectogram.png)
+![Spectogram](/assets/dna-synthesized/mouse/spectogram.png)
 
 ### Bison
 
 This is part of a bison genome `Bison_bison_bison.Bison_UMD1.0.cdna`. You can get [genom data here](http://ftp.ensembl.org/pub/release-106/fasta/bison_bison_bison/cdna/).
 
 <audio controls>
-  <source src="/dna-synthesized/bison/out.mp3" type="audio/mpeg">
+  <source src="/assets/dna-synthesized/bison/out.mp3" type="audio/mpeg">
 </audio>
 
-![Spectogram](/dna-synthesized/bison/spectogram.png)
+![Spectogram](/assets/dna-synthesized/bison/spectogram.png)
 
 ### Taurus
 
 This is part of a taurus genome `Bos_taurus.ARS-UCD1.2.cdna`. You can get [genom data here](http://ftp.ensembl.org/pub/release-106/fasta/bos_taurus/cdna/).
 
 <audio controls>
-  <source src="/dna-synthesized/taurus/out.mp3" type="audio/mpeg">
+  <source src="/assets/dna-synthesized/taurus/out.mp3" type="audio/mpeg">
 </audio>
 
-![Spectogram](/dna-synthesized/taurus/spectogram.png)
+![Spectogram](/assets/dna-synthesized/taurus/spectogram.png)
 
 ## Making a drummer out of a DNA sequence
 
@@ -235,17 +235,17 @@ To make things even more interesting, I decided to send this data via MIDI to my
 
 Elektron is connected to my MacBook via USB cable and audio out is patched to a Sony Bluetooth speaker I have that supports 3.5 mm audio in. Elektron doesn't have internal speakers.
 
-![](/dna-synthesized/elektron/IMG_0619.jpg)
+![](/assets/dna-synthesized/elektron/IMG_0619.jpg)
 
-![](/dna-synthesized/elektron/IMG_0620.jpg)
+![](/assets/dna-synthesized/elektron/IMG_0620.jpg)
 
-![](/dna-synthesized/elektron/IMG_0622.jpg)
+![](/assets/dna-synthesized/elektron/IMG_0622.jpg)
 
 For communicating with Elektron, I choose `pygame` Python module that has MIDI built in. With this, it was rather simple to send notes to the device. All I did was map MIDI notes to the actual Nucleotides.
 
 Before all of this I also checked Audio MIDI Setup app under MacOS and checked MIDI Studio by pressing ⌘-2.
 
-![](/dna-synthesized/elektron/midi-studio.jpg)
+![](/assets/dna-synthesized/elektron/midi-studio.jpg)
 
 The whole script that parses and send notes to the Elektron looks like this.
 
@@ -287,7 +287,7 @@ del player
 pygame.midi.quit()
 ```
 
-<video src="/dna-synthesized/elektron/elektron.mp4" controls></video>
+<video src="/assets/dna-synthesized/elektron/elektron.mp4" controls></video>
 
 All of this could be made much more interesting if I choose different instruments for different Nucleotides, or doing more funky stuff with Elektron. But for now, this should be enough. It is just a proof of concept. Something to play around with.
 
diff --git a/content/posts/2022-08-13-algae-spotted-on-river-sava.md b/content/posts/2022-08-13-algae-spotted-on-river-sava.md
index 2a7e6cd..40b960f 100644
--- a/content/posts/2022-08-13-algae-spotted-on-river-sava.md
+++ b/content/posts/2022-08-13-algae-spotted-on-river-sava.md
@@ -9,16 +9,16 @@ This is a bit of a different post than I usually write, but quite interesting on
 
 Below are some photographs taken from a DJI drone capturing the event.
 
-![Algae on Sava](/algae-sava/dji-algae-0.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-0.jpg)
 
-![Algae on Sava](/algae-sava/dji-algae-1.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-1.jpg)
 
-![Algae on Sava](/algae-sava/dji-algae-2.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-2.jpg)
 
-![Algae on Sava](/algae-sava/dji-algae-3.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-3.jpg)
 
-![Algae on Sava](/algae-sava/dji-algae-4.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-4.jpg)
 
-![Algae on Sava](/algae-sava/dji-algae-5.jpg)
+![Algae on Sava](/assets/algae-sava/dji-algae-5.jpg)
 
 I will try to get more photos of this in the future days and if something intriguing shows up will post it again on the blog.
diff --git a/static/algae-sava/dji-algae-0.jpg b/static/algae-sava/dji-algae-0.jpg
deleted file mode 100644
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diff --git a/static/assets/algae-sava/dji-algae-4.jpg b/static/assets/algae-sava/dji-algae-4.jpg
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diff --git a/static/assets/dfd-rice/install-00.png b/static/assets/dfd-rice/install-00.png
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index 0000000..2660f90
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diff --git a/static/assets/dfd-rice/install-01.png b/static/assets/dfd-rice/install-01.png
new file mode 100644
index 0000000..1281be1
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new file mode 100644
index 0000000..9cac5e3
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diff --git a/static/assets/dfd-rice/install-03.png b/static/assets/dfd-rice/install-03.png
new file mode 100644
index 0000000..dc7cbd1
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diff --git a/static/assets/dfd-rice/install-04.png b/static/assets/dfd-rice/install-04.png
new file mode 100644
index 0000000..675a78f
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diff --git a/static/assets/dfd-rice/install-05.png b/static/assets/dfd-rice/install-05.png
new file mode 100644
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diff --git a/static/assets/dfd-rice/installation.svg b/static/assets/dfd-rice/installation.svg
new file mode 100644
index 0000000..bb9560b
--- /dev/null
+++ b/static/assets/dfd-rice/installation.svg
@@ -0,0 +1,1388 @@
+<?xml version="1.0" encoding="UTF-8" standalone="no"?>
+<!-- Created with Inkscape (http://www.inkscape.org/) -->
+
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+   <sodipodi:namedview id="namedview7" pagecolor="#ffffff" bordercolor="#666666" borderopacity="1.0" inkscape:pageshadow="2" inkscape:pageopacity="0.0" inkscape:pagecheckerboard="0" inkscape:document-units="mm" showgrid="false" inkscape:zoom="0.093984989" inkscape:cx="-883.11975" inkscape:cy="1877.9595" inkscape:window-width="1462" inkscape:window-height="940" inkscape:window-x="1725" inkscape:window-y="74" inkscape:window-maximized="0" inkscape:current-layer="layer1" />
+   <defs id="defs2" />
+   <g inkscape:label="Layer 1" inkscape:groupmode="layer" id="layer1">
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diff --git a/static/assets/dna-synthesized/elektron/IMG_0622.jpg b/static/assets/dna-synthesized/elektron/IMG_0622.jpg
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new file mode 100755
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diff --git a/static/assets/dna-synthesized/elektron/midi-studio.jpg b/static/assets/dna-synthesized/elektron/midi-studio.jpg
new file mode 100755
index 0000000..59075cd
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diff --git a/static/assets/dna-synthesized/mouse/in.txt b/static/assets/dna-synthesized/mouse/in.txt
new file mode 100644
index 0000000..abd34a2
--- /dev/null
+++ b/static/assets/dna-synthesized/mouse/in.txt
@@ -0,0 +1,9 @@
+GAATTCTCAGGGCCTGTGATGGTCTATACTGCATGGCATATCAGTGTAGAGAAAATAAAT
+AGACACAAGCTCCAATCCCAAACCCAGAAACTATTAATAACAAACGAAAAATTAGTTCTC
+TCAAATGAAGTCTCCCTGAGGATACAGATCCCATTCAGATGGGCAGGTCTGCAGGCCAAC
+ACAAAATGAACTCAGGGGCCTCTTTGGAGGTCTTAGGTCTCATAATGTTTTGTCAGGCCT
+TTTATCTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGCTTATTTATCTTAAAACCCACTA
+GCTGTTCTCTCCAGGGTCACACCCTAGCACACTCCGTCTAGGTGCCTTCTTACCATCTCC
+TCTAAGTGAGTGGAGGCTCCCTGTGTATTTCCACACCCTTGTACTTTAAGTATTTTCAAG
+GCAGGGCATATCCTCTCTCACTGAGTCCAGACAAAGCAGCTCAAATAGAAGAACATGTCC
+CACATACAGGCAACAGATTTTGAAGGAGGCCTCCACTCCAGCTGTTAGGGGACCCACATG
diff --git a/static/assets/dna-synthesized/mouse/out.mp3 b/static/assets/dna-synthesized/mouse/out.mp3
new file mode 100644
index 0000000..e66e87b
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diff --git a/static/assets/dna-synthesized/mouse/spectogram.png b/static/assets/dna-synthesized/mouse/spectogram.png
new file mode 100644
index 0000000..8b7f63f
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diff --git a/static/assets/dna-synthesized/quote/in.txt b/static/assets/dna-synthesized/quote/in.txt
new file mode 100644
index 0000000..81e8eb9
--- /dev/null
+++ b/static/assets/dna-synthesized/quote/in.txt
@@ -0,0 +1,8 @@
+GACAGCTTGTGTACAAGTGTGCTTGCTCGCGAGCGGGTACGCGCGTGGGCTAACAAGTGA
+GCCAGCAGGTGAACAAGTGTGCGGACAAGCCAGCAGGTGCGCGGACAAGCTGGCGGGTGA
+ACAAGTGTGCCGGTGAGCCAACAAGCAGACAAGTAAGCAGGTACGCAGGCGAGCTTGTCA
+ACTCACAAGATCGCTTGTGTACAAGTGTGCGGACAAGCCAGCAGGTGCGCGGACAAGTAT
+GCTTGCTGGCGGACAAGCCAGCTTGTAAGCGGACAAGCTTGCGCACAAGCTGGCAGGCCT
+GCCGGCTCGCGTACAAATTCACAAGTAAGTACGCTTGCGTGTACGCGGGTATGTATACTC
+AACCTCACCAAACGGGACAAGATCGCCGGCGGGCTAGTATACAAGAACGCTTGCCAGTAC
+AACC
\ No newline at end of file
diff --git a/static/assets/dna-synthesized/quote/out.mp3 b/static/assets/dna-synthesized/quote/out.mp3
new file mode 100644
index 0000000..985871d
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new file mode 100644
index 0000000..c460ffd
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diff --git a/static/assets/dna-synthesized/symphony-no6-1st-movement.mp3 b/static/assets/dna-synthesized/symphony-no6-1st-movement.mp3
new file mode 100644
index 0000000..8c5a609
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diff --git a/static/assets/dna-synthesized/symphony-no6-1st-movement.png b/static/assets/dna-synthesized/symphony-no6-1st-movement.png
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index 0000000..8269f08
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diff --git a/static/assets/dna-synthesized/taurus/in.txt b/static/assets/dna-synthesized/taurus/in.txt
new file mode 100644
index 0000000..8c5bddb
--- /dev/null
+++ b/static/assets/dna-synthesized/taurus/in.txt
@@ -0,0 +1,11 @@
+GGTCAGCCCAAGTCCCCACCCTCGGTCACCCTGTTCCCGCCCTCCAAGGAGGAGCTCAGC
+GCCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGTAGCGTGACCGTG
+GCCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACCCGGGCCTCCAAA
+CAGAGCAACAGCAAGTACGCGGCCAGCAGCTACCTGAGCCTGACGAGCAGCGACTGGAAA
+TCGAAAGGCAGTTACAGCTGCGAGGTCACGCACGAGGGGAGCACCGTGACGAAGACAGTG
+AAGACCTCAGCGTGTCAGCCCAAGTCCCCACCCTCGGTCACCCTGTTCCCGCCCTCCACG
+GAGGAGCTCAACGGCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGT
+AGCGTGACCGTGGTCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACC
+CGGGCCTCCAAACAGAGCAACAGCAAGTACGCGGCCAGCAGCTACCTGAGCCTGACGAGC
+AGCGACTGGAAATCGAAAGGCAGTTACAGCTGCGAGGTCACGCACGAGGGGAGCACCGTG
+ACGAAGACAGTGAAGCCCTCAGAGTGGCCCTGGGCCCCCACCGCCGTCCCCACCCTCGTC
diff --git a/static/assets/dna-synthesized/taurus/out.mp3 b/static/assets/dna-synthesized/taurus/out.mp3
new file mode 100644
index 0000000..ea7ae1a
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diff --git a/static/assets/dna-synthesized/taurus/spectogram.png b/static/assets/dna-synthesized/taurus/spectogram.png
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index 0000000..3be9b58
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diff --git a/static/assets/do-fuse/copy-benchmarks.tsv b/static/assets/do-fuse/copy-benchmarks.tsv
new file mode 100644
index 0000000..c7a7af4
--- /dev/null
+++ b/static/assets/do-fuse/copy-benchmarks.tsv
@@ -0,0 +1,101 @@
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index 0000000..d7ce243
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diff --git a/static/assets/do-fuse/sqlite-benchmarks.tsv b/static/assets/do-fuse/sqlite-benchmarks.tsv
new file mode 100644
index 0000000..daa2c21
--- /dev/null
+++ b/static/assets/do-fuse/sqlite-benchmarks.tsv
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diff --git a/static/assets/iot-application/simple-iot-application-overview.svg b/static/assets/iot-application/simple-iot-application-overview.svg
new file mode 100644
index 0000000..817666d
--- /dev/null
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font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 54px; white-space: nowrap; word-wrap: normal; font-weight: bold; text-align: center;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;">Database</div></div></foreignObject><text x="27" y="12" fill="#000000" text-anchor="middle" font-size="12px" font-family="Helvetica" font-weight="bold">Database</text></switch></g><rect x="211" y="211" width="200" height="100" fill="#ffffff" stroke="#000000" stroke-width="2" pointer-events="none"/><g transform="translate(252.5,234.5)"><switch><foreignObject style="overflow:visible;" pointer-events="all" width="115" height="51" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 115px; white-space: nowrap; 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font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 50px; white-space: nowrap; word-wrap: normal; text-align: center;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;">Write<div>datapoint</div></div></div></foreignObject><text x="25" y="19" fill="#000000" text-anchor="middle" font-size="12px" font-family="Helvetica">[Not supported by viewer]</text></switch></g><g transform="translate(397.5,327.5)"><switch><foreignObject style="overflow:visible;" pointer-events="all" width="56" height="26" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: inline-block; font-size: 12px; font-family: Helvetica; color: rgb(0, 0, 0); line-height: 1.2; vertical-align: top; width: 56px; white-space: nowrap; word-wrap: normal; text-align: center;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;">Read<div>datapoints</div></div></div></foreignObject><text x="28" y="19" fill="#000000" text-anchor="middle" font-size="12px" font-family="Helvetica">[Not supported by viewer]</text></switch></g><rect x="151" y="51" width="120" height="60" rx="9" ry="9" fill="#ffffff" stroke="#000000" stroke-width="2" pointer-events="none"/><g transform="translate(182.5,67.5)"><switch><foreignObject style="overflow:visible;" pointer-events="all" width="55" height="26" requiredFeatures="http://www.w3.org/TR/SVG11/feature#Extensibility"><div xmlns="http://www.w3.org/1999/xhtml" style="display: inline-block; 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diff --git a/static/assets/iot-application/simple-iot-application.zip b/static/assets/iot-application/simple-iot-application.zip
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index 0000000..46d3205
Binary files /dev/null and b/static/assets/iot-application/simple-iot-application.zip differ
diff --git a/static/assets/iot-application/snakeviz.png b/static/assets/iot-application/snakeviz.png
new file mode 100644
index 0000000..5bab395
Binary files /dev/null and b/static/assets/iot-application/snakeviz.png differ
diff --git a/static/assets/pid1/boxes.mp4 b/static/assets/pid1/boxes.mp4
new file mode 100644
index 0000000..eb647ff
Binary files /dev/null and b/static/assets/pid1/boxes.mp4 differ
diff --git a/static/assets/pid1/qemu.log b/static/assets/pid1/qemu.log
new file mode 100644
index 0000000..11be312
--- /dev/null
+++ b/static/assets/pid1/qemu.log
@@ -0,0 +1,320 @@
+[    0.000000] Linux version 5.15.7 (m@khan) (gcc (GCC) 11.2.1 20211203 (Red Hat 11.2.1-7), GNU ld version 2.37-10.fc35) #7 SMP Mon Dec 13 10:23:25 CET 2021
+[    0.000000] Command line: console=ttyS0
+[    0.000000] x86/fpu: x87 FPU will use FXSAVE
+[    0.000000] signal: max sigframe size: 1440
+[    0.000000] BIOS-provided physical RAM map:
+[    0.000000] BIOS-e820: [mem 0x0000000000000000-0x000000000009fbff] usable
+[    0.000000] BIOS-e820: [mem 0x000000000009fc00-0x000000000009ffff] reserved
+[    0.000000] BIOS-e820: [mem 0x00000000000f0000-0x00000000000fffff] reserved
+[    0.000000] BIOS-e820: [mem 0x0000000000100000-0x0000000007fdffff] usable
+[    0.000000] BIOS-e820: [mem 0x0000000007fe0000-0x0000000007ffffff] reserved
+[    0.000000] BIOS-e820: [mem 0x00000000fffc0000-0x00000000ffffffff] reserved
+[    0.000000] NX (Execute Disable) protection: active
+[    0.000000] SMBIOS 2.8 present.
+[    0.000000] DMI: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.14.0-6.fc35 04/01/2014
+[    0.000000] tsc: Fast TSC calibration failed
+[    0.000000] last_pfn = 0x7fe0 max_arch_pfn = 0x400000000
+[    0.000000] x86/PAT: Configuration [0-7]: WB  WC  UC- UC  WB  WP  UC- WT
+[    0.000000] found SMP MP-table at [mem 0x000f5c40-0x000f5c4f]
+[    0.000000] RAMDISK: [mem 0x07e06000-0x07fdffff]
+[    0.000000] ACPI: Early table checksum verification disabled
+[    0.000000] ACPI: RSDP 0x00000000000F5A80 000014 (v00 BOCHS )
+[    0.000000] ACPI: RSDT 0x0000000007FE1905 000034 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: FACP 0x0000000007FE17B9 000074 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: DSDT 0x0000000007FE0040 001779 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: FACS 0x0000000007FE0000 000040
+[    0.000000] ACPI: APIC 0x0000000007FE182D 000078 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: HPET 0x0000000007FE18A5 000038 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: WAET 0x0000000007FE18DD 000028 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
+[    0.000000] ACPI: Reserving FACP table memory at [mem 0x7fe17b9-0x7fe182c]
+[    0.000000] ACPI: Reserving DSDT table memory at [mem 0x7fe0040-0x7fe17b8]
+[    0.000000] ACPI: Reserving FACS table memory at [mem 0x7fe0000-0x7fe003f]
+[    0.000000] ACPI: Reserving APIC table memory at [mem 0x7fe182d-0x7fe18a4]
+[    0.000000] ACPI: Reserving HPET table memory at [mem 0x7fe18a5-0x7fe18dc]
+[    0.000000] ACPI: Reserving WAET table memory at [mem 0x7fe18dd-0x7fe1904]
+[    0.000000] No NUMA configuration found
+[    0.000000] Faking a node at [mem 0x0000000000000000-0x0000000007fdffff]
+[    0.000000] NODE_DATA(0) allocated [mem 0x07e02000-0x07e05fff]
+[    0.000000] Zone ranges:
+[    0.000000]   DMA      [mem 0x0000000000001000-0x0000000000ffffff]
+[    0.000000]   DMA32    [mem 0x0000000001000000-0x0000000007fdffff]
+[    0.000000]   Normal   empty
+[    0.000000] Movable zone start for each node
+[    0.000000] Early memory node ranges
+[    0.000000]   node   0: [mem 0x0000000000001000-0x000000000009efff]
+[    0.000000]   node   0: [mem 0x0000000000100000-0x0000000007fdffff]
+[    0.000000] Initmem setup node 0 [mem 0x0000000000001000-0x0000000007fdffff]
+[    0.000000] On node 0, zone DMA: 1 pages in unavailable ranges
+[    0.000000] On node 0, zone DMA: 97 pages in unavailable ranges
+[    0.000000] On node 0, zone DMA32: 32 pages in unavailable ranges
+[    0.000000] ACPI: PM-Timer IO Port: 0x608
+[    0.000000] ACPI: LAPIC_NMI (acpi_id[0xff] dfl dfl lint[0x1])
+[    0.000000] IOAPIC[0]: apic_id 0, version 32, address 0xfec00000, GSI 0-23
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 0 global_irq 2 dfl dfl)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 5 global_irq 5 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 9 global_irq 9 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 10 global_irq 10 high level)
+[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 11 global_irq 11 high level)
+[    0.000000] ACPI: Using ACPI (MADT) for SMP configuration information
+[    0.000000] ACPI: HPET id: 0x8086a201 base: 0xfed00000
+[    0.000000] smpboot: Allowing 1 CPUs, 0 hotplug CPUs
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x00000000-0x00000fff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x0009f000-0x0009ffff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000a0000-0x000effff]
+[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000f0000-0x000fffff]
+[    0.000000] [mem 0x08000000-0xfffbffff] available for PCI devices
+[    0.000000] clocksource: refined-jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1910969940391419 ns
+[    0.000000] setup_percpu: NR_CPUS:64 nr_cpumask_bits:64 nr_cpu_ids:1 nr_node_ids:1
+[    0.000000] percpu: Embedded 52 pages/cpu s174360 r8192 d30440 u2097152
+[    0.000000] Built 1 zonelists, mobility grouping on.  Total pages: 31968
+[    0.000000] Policy zone: DMA32
+[    0.000000] Kernel command line: console=ttyS0
+[    0.000000] Dentry cache hash table entries: 16384 (order: 5, 131072 bytes, linear)
+[    0.000000] Inode-cache hash table entries: 8192 (order: 4, 65536 bytes, linear)
+[    0.000000] mem auto-init: stack:off, heap alloc:off, heap free:off
+[    0.000000] Memory: 94464K/130552K available (14350K kernel code, 2582K rwdata, 3596K rodata, 1368K init, 1488K bss, 35828K reserved, 0K cma-reserved)
+[    0.000000] SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=1, Nodes=1
+[    0.000000] rcu: Hierarchical RCU implementation.
+[    0.000000] rcu: 	RCU event tracing is enabled.
+[    0.000000] rcu: 	RCU restricting CPUs from NR_CPUS=64 to nr_cpu_ids=1.
+[    0.000000] rcu: RCU calculated value of scheduler-enlistment delay is 100 jiffies.
+[    0.000000] rcu: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=1
+[    0.000000] NR_IRQS: 4352, nr_irqs: 256, preallocated irqs: 16
+[    0.000000] random: get_random_bytes called from start_kernel+0x492/0x65f with crng_init=0
+[    0.000000] Console: colour VGA+ 80x25
+[    0.000000] printk: console [ttyS0] enabled
+[    0.000000] ACPI: Core revision 20210730
+[    0.000000] clocksource: hpet: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 19112604467 ns
+[    0.002000] APIC: Switch to symmetric I/O mode setup
+[    0.005000] ..TIMER: vector=0x30 apic1=0 pin1=2 apic2=-1 pin2=-1
+[    0.013000] tsc: Unable to calibrate against PIT
+[    0.014000] tsc: using HPET reference calibration
+[    0.014000] tsc: Detected 3189.099 MHz processor
+[    0.001005] clocksource: tsc-early: mask: 0xffffffffffffffff max_cycles: 0x2df8103a89b, max_idle_ns: 440795220785 ns
+[    0.002672] Calibrating delay loop (skipped), value calculated using timer frequency.. 6378.19 BogoMIPS (lpj=3189099)
+[    0.002960] pid_max: default: 32768 minimum: 301
+[    0.003627] LSM: Security Framework initializing
+[    0.004329] SELinux:  Initializing.
+[    0.005051] Mount-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
+[    0.005202] Mountpoint-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
+[    0.020479] process: using AMD E400 aware idle routine
+[    0.020699] Last level iTLB entries: 4KB 512, 2MB 255, 4MB 127
+[    0.020832] Last level dTLB entries: 4KB 512, 2MB 255, 4MB 127, 1GB 0
+[    0.021165] Spectre V1 : Mitigation: usercopy/swapgs barriers and __user pointer sanitization
+[    0.021438] Spectre V2 : Mitigation: Full AMD retpoline
+[    0.021586] Spectre V2 : Spectre v2 / SpectreRSB mitigation: Filling RSB on context switch
+[    0.238228] Freeing SMP alternatives memory: 44K
+[    0.242641] random: fast init done
+[    0.350203] smpboot: CPU0: AMD QEMU Virtual CPU version 2.5+ (family: 0xf, model: 0x6b, stepping: 0x1)
+[    0.355136] Performance Events: PMU not available due to virtualization, using software events only.
+[    0.356607] rcu: Hierarchical SRCU implementation.
+[    0.360890] smp: Bringing up secondary CPUs ...
+[    0.361082] smp: Brought up 1 node, 1 CPU
+[    0.361253] smpboot: Max logical packages: 1
+[    0.361394] smpboot: Total of 1 processors activated (6378.19 BogoMIPS)
+[    0.371481] devtmpfs: initialized
+[    0.378162] clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1911260446275000 ns
+[    0.378478] futex hash table entries: 256 (order: 2, 16384 bytes, linear)
+[    0.381522] PM: RTC time: 00:19:47, date: 2021-12-27
+[    0.384915] NET: Registered PF_NETLINK/PF_ROUTE protocol family
+[    0.387403] audit: initializing netlink subsys (disabled)
+[    0.391765] audit: type=2000 audit(1640564386.402:1): state=initialized audit_enabled=0 res=1
+[    0.392916] thermal_sys: Registered thermal governor 'step_wise'
+[    0.392950] thermal_sys: Registered thermal governor 'user_space'
+[    0.393202] cpuidle: using governor menu
+[    0.394085] ACPI: bus type PCI registered
+[    0.396583] PCI: Using configuration type 1 for base access
+[    0.415012] Kprobes globally optimized
+[    0.416844] HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages
+[    0.420649] cryptomgr_test (20) used greatest stack depth: 15680 bytes left
+[    0.426071] ACPI: Added _OSI(Module Device)
+[    0.426182] ACPI: Added _OSI(Processor Device)
+[    0.426279] ACPI: Added _OSI(3.0 _SCP Extensions)
+[    0.426376] ACPI: Added _OSI(Processor Aggregator Device)
+[    0.426606] ACPI: Added _OSI(Linux-Dell-Video)
+[    0.426709] ACPI: Added _OSI(Linux-Lenovo-NV-HDMI-Audio)
+[    0.426821] ACPI: Added _OSI(Linux-HPI-Hybrid-Graphics)
+[    0.439511] ACPI: 1 ACPI AML tables successfully acquired and loaded
+[    0.452709] ACPI: Interpreter enabled
+[    0.453468] ACPI: PM: (supports S0 S3 S4 S5)
+[    0.453603] ACPI: Using IOAPIC for interrupt routing
+[    0.454022] PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug
+[    0.455266] ACPI: Enabled 2 GPEs in block 00 to 0F
+[    0.480013] ACPI: PCI Root Bridge [PCI0] (domain 0000 [bus 00-ff])
+[    0.480702] acpi PNP0A03:00: _OSC: OS supports [ASPM ClockPM Segments MSI HPX-Type3]
+[    0.481425] acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge.
+[    0.483666] PCI host bridge to bus 0000:00
+[    0.483848] pci_bus 0000:00: root bus resource [io  0x0000-0x0cf7 window]
+[    0.484096] pci_bus 0000:00: root bus resource [io  0x0d00-0xffff window]
+[    0.484237] pci_bus 0000:00: root bus resource [mem 0x000a0000-0x000bffff window]
+[    0.484480] pci_bus 0000:00: root bus resource [mem 0x08000000-0xfebfffff window]
+[    0.484578] pci_bus 0000:00: root bus resource [mem 0x100000000-0x17fffffff window]
+[    0.484870] pci_bus 0000:00: root bus resource [bus 00-ff]
+[    0.486588] pci 0000:00:00.0: [8086:1237] type 00 class 0x060000
+[    0.492625] pci 0000:00:01.0: [8086:7000] type 00 class 0x060100
+[    0.493621] pci 0000:00:01.1: [8086:7010] type 00 class 0x010180
+[    0.495015] pci 0000:00:01.1: reg 0x20: [io  0xc040-0xc04f]
+[    0.495760] pci 0000:00:01.1: legacy IDE quirk: reg 0x10: [io  0x01f0-0x01f7]
+[    0.495936] pci 0000:00:01.1: legacy IDE quirk: reg 0x14: [io  0x03f6]
+[    0.496095] pci 0000:00:01.1: legacy IDE quirk: reg 0x18: [io  0x0170-0x0177]
+[    0.496598] pci 0000:00:01.1: legacy IDE quirk: reg 0x1c: [io  0x0376]
+[    0.497793] pci 0000:00:01.3: [8086:7113] type 00 class 0x068000
+[    0.498219] pci 0000:00:01.3: quirk: [io  0x0600-0x063f] claimed by PIIX4 ACPI
+[    0.498384] pci 0000:00:01.3: quirk: [io  0x0700-0x070f] claimed by PIIX4 SMB
+[    0.499487] pci 0000:00:02.0: [1234:1111] type 00 class 0x030000
+[    0.500186] pci 0000:00:02.0: reg 0x10: [mem 0xfd000000-0xfdffffff pref]
+[    0.500569] pci 0000:00:02.0: reg 0x18: [mem 0xfebf0000-0xfebf0fff]
+[    0.502569] pci 0000:00:02.0: reg 0x30: [mem 0xfebe0000-0xfebeffff pref]
+[    0.508052] pci 0000:00:03.0: [8086:100e] type 00 class 0x020000
+[    0.508590] pci 0000:00:03.0: reg 0x10: [mem 0xfebc0000-0xfebdffff]
+[    0.509075] pci 0000:00:03.0: reg 0x14: [io  0xc000-0xc03f]
+[    0.511015] pci 0000:00:03.0: reg 0x30: [mem 0xfeb80000-0xfebbffff pref]
+[    0.517286] ACPI: PCI: Interrupt link LNKA configured for IRQ 10
+[    0.518032] ACPI: PCI: Interrupt link LNKB configured for IRQ 10
+[    0.518504] ACPI: PCI: Interrupt link LNKC configured for IRQ 11
+[    0.518920] ACPI: PCI: Interrupt link LNKD configured for IRQ 11
+[    0.519208] ACPI: PCI: Interrupt link LNKS configured for IRQ 9
+[    0.521412] iommu: Default domain type: Translated
+[    0.521589] iommu: DMA domain TLB invalidation policy: lazy mode
+[    0.524448] pci 0000:00:02.0: vgaarb: setting as boot VGA device
+[    0.524569] pci 0000:00:02.0: vgaarb: VGA device added: decodes=io+mem,owns=io+mem,locks=none
+[    0.524633] pci 0000:00:02.0: vgaarb: bridge control possible
+[    0.524846] vgaarb: loaded
+[    0.526151] SCSI subsystem initialized
+[    0.528124] ACPI: bus type USB registered
+[    0.528600] usbcore: registered new interface driver usbfs
+[    0.528917] usbcore: registered new interface driver hub
+[    0.529156] usbcore: registered new device driver usb
+[    0.529593] pps_core: LinuxPPS API ver. 1 registered
+[    0.529693] pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it>
+[    0.529916] PTP clock support registered
+[    0.531428] Advanced Linux Sound Architecture Driver Initialized.
+[    0.538313] NetLabel: Initializing
+[    0.538413] NetLabel:  domain hash size = 128
+[    0.538513] NetLabel:  protocols = UNLABELED CIPSOv4 CALIPSO
+[    0.539300] NetLabel:  unlabeled traffic allowed by default
+[    0.540192] PCI: Using ACPI for IRQ routing
+[    0.541336] hpet: 3 channels of 0 reserved for per-cpu timers
+[    0.541742] hpet0: at MMIO 0xfed00000, IRQs 2, 8, 0
+[    0.541934] hpet0: 3 comparators, 64-bit 100.000000 MHz counter
+[    0.547124] clocksource: Switched to clocksource tsc-early
+[    0.589778] VFS: Disk quotas dquot_6.6.0
+[    0.590116] VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)
+[    0.591999] pnp: PnP ACPI init
+[    1.348853] pnp: PnP ACPI: found 6 devices
+[    1.363393] clocksource: acpi_pm: mask: 0xffffff max_cycles: 0xffffff, max_idle_ns: 2085701024 ns
+[    1.364026] NET: Registered PF_INET protocol family
+[    1.364871] IP idents hash table entries: 2048 (order: 2, 16384 bytes, linear)
+[    1.369722] tcp_listen_portaddr_hash hash table entries: 256 (order: 0, 4096 bytes, linear)
+[    1.369973] TCP established hash table entries: 1024 (order: 1, 8192 bytes, linear)
+[    1.370241] TCP bind hash table entries: 1024 (order: 2, 16384 bytes, linear)
+[    1.370483] TCP: Hash tables configured (established 1024 bind 1024)
+[    1.371348] UDP hash table entries: 256 (order: 1, 8192 bytes, linear)
+[    1.371835] UDP-Lite hash table entries: 256 (order: 1, 8192 bytes, linear)
+[    1.373053] NET: Registered PF_UNIX/PF_LOCAL protocol family
+[    1.374701] RPC: Registered named UNIX socket transport module.
+[    1.375153] RPC: Registered udp transport module.
+[    1.375280] RPC: Registered tcp transport module.
+[    1.375386] RPC: Registered tcp NFSv4.1 backchannel transport module.
+[    1.377429] pci_bus 0000:00: resource 4 [io  0x0000-0x0cf7 window]
+[    1.377567] pci_bus 0000:00: resource 5 [io  0x0d00-0xffff window]
+[    1.377738] pci_bus 0000:00: resource 6 [mem 0x000a0000-0x000bffff window]
+[    1.377893] pci_bus 0000:00: resource 7 [mem 0x08000000-0xfebfffff window]
+[    1.378032] pci_bus 0000:00: resource 8 [mem 0x100000000-0x17fffffff window]
+[    1.378574] pci 0000:00:01.0: PIIX3: Enabling Passive Release
+[    1.378817] pci 0000:00:00.0: Limiting direct PCI/PCI transfers
+[    1.378993] pci 0000:00:01.0: Activating ISA DMA hang workarounds
+[    1.379296] pci 0000:00:02.0: Video device with shadowed ROM at [mem 0x000c0000-0x000dffff]
+[    1.379537] PCI: CLS 0 bytes, default 64
+[    1.385473] Unpacking initramfs...
+[    1.394653] Initialise system trusted keyrings
+[    1.395898] workingset: timestamp_bits=56 max_order=15 bucket_order=0
+[    1.400517] Freeing initrd memory: 1896K
+[    1.409899] NFS: Registering the id_resolver key type
+[    1.410240] Key type id_resolver registered
+[    1.410358] Key type id_legacy registered
+[    1.436299] Key type asymmetric registered
+[    1.436505] Asymmetric key parser 'x509' registered
+[    1.436899] Block layer SCSI generic (bsg) driver version 0.4 loaded (major 251)
+[    1.437334] io scheduler mq-deadline registered
+[    1.437848] io scheduler kyber registered
+[    1.440723] input: Power Button as /devices/LNXSYSTM:00/LNXPWRBN:00/input/input0
+[    1.443386] ACPI: button: Power Button [PWRF]
+[    1.445654] Serial: 8250/16550 driver, 4 ports, IRQ sharing enabled
+[    1.447264] 00:04: ttyS0 at I/O 0x3f8 (irq = 4, base_baud = 115200) is a 16550A
+[    1.450740] Non-volatile memory driver v1.3
+[    1.451106] Linux agpgart interface v0.103
+[    1.467087] loop: module loaded
+[    1.474468] scsi host0: ata_piix
+[    1.476252] scsi host1: ata_piix
+[    1.476701] ata1: PATA max MWDMA2 cmd 0x1f0 ctl 0x3f6 bmdma 0xc040 irq 14
+[    1.476882] ata2: PATA max MWDMA2 cmd 0x170 ctl 0x376 bmdma 0xc048 irq 15
+[    1.481539] libphy: Fixed MDIO Bus: probed
+[    1.482188] e100: Intel(R) PRO/100 Network Driver
+[    1.482313] e100: Copyright(c) 1999-2006 Intel Corporation
+[    1.482507] e1000: Intel(R) PRO/1000 Network Driver
+[    1.482702] e1000: Copyright (c) 1999-2006 Intel Corporation.
+[    1.616439] ACPI: \_SB_.LNKC: Enabled at IRQ 11
+[    1.649465] ata2.00: ATAPI: QEMU DVD-ROM, 2.5+, max UDMA/100
+[    1.664135] scsi 1:0:0:0: CD-ROM            QEMU     QEMU DVD-ROM     2.5+ PQ: 0 ANSI: 5
+[    1.693021] sr 1:0:0:0: [sr0] scsi3-mmc drive: 4x/4x cd/rw xa/form2 tray
+[    1.693338] cdrom: Uniform CD-ROM driver Revision: 3.20
+[    1.723925] sr 1:0:0:0: Attached scsi generic sg0 type 5
+[    1.946674] e1000 0000:00:03.0 eth0: (PCI:33MHz:32-bit) 52:54:00:12:34:56
+[    1.947107] e1000 0000:00:03.0 eth0: Intel(R) PRO/1000 Network Connection
+[    1.947650] e1000e: Intel(R) PRO/1000 Network Driver
+[    1.947749] e1000e: Copyright(c) 1999 - 2015 Intel Corporation.
+[    1.947947] sky2: driver version 1.30
+[    1.948805] ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver
+[    1.948993] ehci-pci: EHCI PCI platform driver
+[    1.949218] ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver
+[    1.949394] ohci-pci: OHCI PCI platform driver
+[    1.949636] uhci_hcd: USB Universal Host Controller Interface driver
+[    1.950082] usbcore: registered new interface driver usblp
+[    1.950302] usbcore: registered new interface driver usb-storage
+[    1.951012] i8042: PNP: PS/2 Controller [PNP0303:KBD,PNP0f13:MOU] at 0x60,0x64 irq 1,12
+[    1.954333] serio: i8042 KBD port at 0x60,0x64 irq 1
+[    1.954634] serio: i8042 AUX port at 0x60,0x64 irq 12
+[    1.957984] input: AT Translated Set 2 keyboard as /devices/platform/i8042/serio0/input/input1
+[    1.960071] rtc_cmos 00:05: RTC can wake from S4
+[    1.964738] rtc_cmos 00:05: registered as rtc0
+[    1.965357] rtc_cmos 00:05: alarms up to one day, y3k, 242 bytes nvram, hpet irqs
+[    1.966676] device-mapper: ioctl: 4.45.0-ioctl (2021-03-22) initialised: dm-devel@redhat.com
+[    1.967364] hid: raw HID events driver (C) Jiri Kosina
+[    1.968571] usbcore: registered new interface driver usbhid
+[    1.968750] usbhid: USB HID core driver
+[    1.974818] Initializing XFRM netlink socket
+[    1.975673] NET: Registered PF_INET6 protocol family
+[    1.981212] Segment Routing with IPv6
+[    1.981421] In-situ OAM (IOAM) with IPv6
+[    1.982292] sit: IPv6, IPv4 and MPLS over IPv4 tunneling driver
+[    1.984278] NET: Registered PF_PACKET protocol family
+[    1.984857] Key type dns_resolver registered
+[    1.985989] IPI shorthand broadcast: enabled
+[    1.986261] sched_clock: Marking stable (1999028700, -13430834)->(1985937339, -339473)
+[    1.987965] registered taskstats version 1
+[    1.988095] Loading compiled-in X.509 certificates
+[    1.991283] PM:   Magic number: 1:335:305
+[    1.991523] tty tty34: hash matches
+[    1.991951] printk: console [netcon0] enabled
+[    1.992067] netconsole: network logging started
+[    1.994549] cfg80211: Loading compiled-in X.509 certificates for regulatory database
+[    2.004972] kworker/u2:2 (64) used greatest stack depth: 14856 bytes left
+[    2.012521] cfg80211: Loaded X.509 cert 'sforshee: 00b28ddf47aef9cea7'
+[    2.013924] platform regulatory.0: Direct firmware load for regulatory.db failed with error -2
+[    2.014318] cfg80211: failed to load regulatory.db
+[    2.016106] ALSA device list:
+[    2.016329]   No soundcards found.
+[    2.053176] Freeing unused kernel image (initmem) memory: 1368K
+[    2.056095] Write protecting the kernel read-only data: 20480k
+[    2.058248] Freeing unused kernel image (text/rodata gap) memory: 2032K
+[    2.058811] Freeing unused kernel image (rodata/data gap) memory: 500K
+[    2.059164] Run /init as init process
+Hello from Golang
+[    2.386879] tsc: Refined TSC clocksource calibration: 3192.032 MHz
+[    2.387114] clocksource: tsc: mask: 0xffffffffffffffff max_cycles: 0x2e02e31fa14, max_idle_ns: 440795264947 ns
+[    2.387380] clocksource: Switched to clocksource tsc
+[    2.587895] input: ImExPS/2 Generic Explorer Mouse as /devices/platform/i8042/serio1/input/input3
+Hello from Golang
+Hello from Golang
+Hello from Golang
diff --git a/static/assets/pid1/unikernels.png b/static/assets/pid1/unikernels.png
new file mode 100644
index 0000000..16026ed
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diff --git a/static/assets/pid1/unikernels.svg b/static/assets/pid1/unikernels.svg
new file mode 100644
index 0000000..460fb94
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diff --git a/static/assets/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb b/static/assets/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb
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+++ b/static/assets/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb	
@@ -0,0 +1,588 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2.0.0-beta1\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
+      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
+      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
+     ]
+    }
+   ],
+   "source": [
+    "import tensorflow as tf\n",
+    "from tensorflow import keras\n",
+    "\n",
+    "# Helper libraries\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "print(tf.__version__)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from numpy import genfromtxt\n",
+    "data = genfromtxt('data.csv', delimiter=',')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "data_input = data[:,0:3]\n",
+    "data_labels = data[:,3]\n",
+    "\n",
+    "#data_input = np.transpose(data_input)\n",
+    "#data_labels = np.transpose(data_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(600, 3)\n",
+      "[1.e-01 1.e+00 3.e+02]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(np.shape(data_input))\n",
+    "print(data_input[2])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "print(len(data_input))\n",
+    "print(len(data_labels))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "(500, 3)\n",
+      "(100, 3)\n",
+      "(500,)\n",
+      "(100,)\n"
+     ]
+    }
+   ],
+   "source": [
+    "data_input_train = data_input[0:500,:]\n",
+    "data_input_test = data_input[500:,:]\n",
+    "\n",
+    "data_labels_train = data_labels[0:500]\n",
+    "data_labels_test = data_labels[500:]\n",
+    "\n",
+    "print(np.shape(data_input_train))\n",
+    "print(np.shape(data_input_test))\n",
+    "\n",
+    "print(np.shape(data_labels_train))\n",
+    "print(np.shape(data_labels_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model = keras.Sequential([\n",
+    "    keras.layers.Dense(128, activation='relu', input_shape=[3]),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(512, activation='relu'),\n",
+    "    keras.layers.Dense(128, activation='relu'),\n",
+    "    keras.layers.Dense(1)\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "optimizer = tf.keras.optimizers.RMSprop(0.001)\n",
+    "model.compile(loss='mse',\n",
+    "                optimizer=optimizer,\n",
+    "                metrics=['accuracy'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train on 500 samples\n",
+      "Epoch 1/100\n",
+      "500/500 [==============================] - 0s 399us/sample - loss: 247.2794 - accuracy: 0.0040\n",
+      "Epoch 2/100\n",
+      "500/500 [==============================] - 0s 121us/sample - loss: 4.2495 - accuracy: 0.0060\n",
+      "Epoch 3/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 1.8787 - accuracy: 0.0040\n",
+      "Epoch 4/100\n",
+      "500/500 [==============================] - 0s 121us/sample - loss: 0.4284 - accuracy: 0.0060\n",
+      "Epoch 5/100\n",
+      "500/500 [==============================] - 0s 107us/sample - loss: 4.7904 - accuracy: 0.0080\n",
+      "Epoch 6/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0819 - accuracy: 0.0040\n",
+      "Epoch 7/100\n",
+      "500/500 [==============================] - 0s 108us/sample - loss: 1.6904 - accuracy: 0.0040\n",
+      "Epoch 8/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.1761 - accuracy: 0.0040\n",
+      "Epoch 9/100\n",
+      "500/500 [==============================] - 0s 142us/sample - loss: 0.1135 - accuracy: 0.0040\n",
+      "Epoch 10/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.4387 - accuracy: 0.0040\n",
+      "Epoch 11/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0815 - accuracy: 0.0040\n",
+      "Epoch 12/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.1725 - accuracy: 0.0040\n",
+      "Epoch 13/100\n",
+      "500/500 [==============================] - 0s 119us/sample - loss: 0.1487 - accuracy: 0.0040\n",
+      "Epoch 14/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0720 - accuracy: 0.0040\n",
+      "Epoch 15/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.3110 - accuracy: 0.0040\n",
+      "Epoch 16/100\n",
+      "500/500 [==============================] - 0s 128us/sample - loss: 0.0947 - accuracy: 0.0040\n",
+      "Epoch 17/100\n",
+      "500/500 [==============================] - 0s 133us/sample - loss: 0.0739 - accuracy: 0.0040\n",
+      "Epoch 18/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 0.1353 - accuracy: 0.0060\n",
+      "Epoch 19/100\n",
+      "500/500 [==============================] - 0s 135us/sample - loss: 0.0837 - accuracy: 0.0040\n",
+      "Epoch 20/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0754 - accuracy: 0.0040\n",
+      "Epoch 21/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0840 - accuracy: 0.0040\n",
+      "Epoch 22/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.1105 - accuracy: 0.0040\n",
+      "Epoch 23/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0651 - accuracy: 0.0040\n",
+      "Epoch 24/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0615 - accuracy: 0.0040\n",
+      "Epoch 25/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0656 - accuracy: 0.0040\n",
+      "Epoch 26/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0695 - accuracy: 0.0040\n",
+      "Epoch 27/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0585 - accuracy: 0.0040\n",
+      "Epoch 28/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.1300 - accuracy: 0.0040\n",
+      "Epoch 29/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0567 - accuracy: 0.0040\n",
+      "Epoch 30/100\n",
+      "500/500 [==============================] - 0s 137us/sample - loss: 0.0647 - accuracy: 0.0040\n",
+      "Epoch 31/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0559 - accuracy: 0.0040\n",
+      "Epoch 32/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0576 - accuracy: 0.0040\n",
+      "Epoch 33/100\n",
+      "500/500 [==============================] - 0s 128us/sample - loss: 0.0578 - accuracy: 0.0040\n",
+      "Epoch 34/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0512 - accuracy: 0.0040\n",
+      "Epoch 35/100\n",
+      "500/500 [==============================] - 0s 114us/sample - loss: 0.0601 - accuracy: 0.0040\n",
+      "Epoch 36/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0531 - accuracy: 0.0040\n",
+      "Epoch 37/100\n",
+      "500/500 [==============================] - 0s 130us/sample - loss: 0.0532 - accuracy: 0.0040\n",
+      "Epoch 38/100\n",
+      "500/500 [==============================] - 0s 131us/sample - loss: 0.0480 - accuracy: 0.0040\n",
+      "Epoch 39/100\n",
+      "500/500 [==============================] - 0s 136us/sample - loss: 0.0503 - accuracy: 0.0040\n",
+      "Epoch 40/100\n",
+      "500/500 [==============================] - 0s 134us/sample - loss: 0.0468 - accuracy: 0.0040\n",
+      "Epoch 41/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.0509 - accuracy: 0.0040\n",
+      "Epoch 42/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0453 - accuracy: 0.0040\n",
+      "Epoch 43/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0484 - accuracy: 0.0040\n",
+      "Epoch 44/100\n",
+      "500/500 [==============================] - 0s 104us/sample - loss: 0.0458 - accuracy: 0.0040\n",
+      "Epoch 45/100\n",
+      "500/500 [==============================] - 0s 110us/sample - loss: 0.0481 - accuracy: 0.0040\n",
+      "Epoch 46/100\n",
+      "500/500 [==============================] - 0s 114us/sample - loss: 0.0468 - accuracy: 0.0060\n",
+      "Epoch 47/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.0473 - accuracy: 0.0060\n",
+      "Epoch 48/100\n",
+      "500/500 [==============================] - 0s 137us/sample - loss: 0.0455 - accuracy: 0.0040\n",
+      "Epoch 49/100\n",
+      "500/500 [==============================] - 0s 125us/sample - loss: 0.0431 - accuracy: 0.0060\n",
+      "Epoch 50/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0432 - accuracy: 0.0060\n",
+      "Epoch 51/100\n",
+      "500/500 [==============================] - 0s 116us/sample - loss: 0.0484 - accuracy: 0.0060\n",
+      "Epoch 52/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0482 - accuracy: 0.0040\n",
+      "Epoch 53/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.0444 - accuracy: 0.0060\n",
+      "Epoch 54/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0469 - accuracy: 0.0060\n",
+      "Epoch 55/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0427 - accuracy: 0.0040\n",
+      "Epoch 56/100\n",
+      "500/500 [==============================] - 0s 110us/sample - loss: 0.0433 - accuracy: 0.0040\n",
+      "Epoch 57/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0437 - accuracy: 0.0060\n",
+      "Epoch 58/100\n",
+      "500/500 [==============================] - 0s 117us/sample - loss: 0.0425 - accuracy: 0.0040\n",
+      "Epoch 59/100\n",
+      "500/500 [==============================] - 0s 105us/sample - loss: 0.0418 - accuracy: 0.0040\n",
+      "Epoch 60/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0397 - accuracy: 0.0040\n",
+      "Epoch 61/100\n",
+      "500/500 [==============================] - 0s 119us/sample - loss: 0.0507 - accuracy: 0.0040\n",
+      "Epoch 62/100\n",
+      "500/500 [==============================] - 0s 112us/sample - loss: 0.0402 - accuracy: 0.0060\n",
+      "Epoch 63/100\n",
+      "500/500 [==============================] - 0s 133us/sample - loss: 0.0397 - accuracy: 0.0040\n",
+      "Epoch 64/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0427 - accuracy: 0.0060\n",
+      "Epoch 65/100\n",
+      "500/500 [==============================] - 0s 138us/sample - loss: 0.0398 - accuracy: 0.0040\n",
+      "Epoch 66/100\n",
+      "500/500 [==============================] - 0s 145us/sample - loss: 0.0375 - accuracy: 0.0060\n",
+      "Epoch 67/100\n",
+      "500/500 [==============================] - 0s 138us/sample - loss: 0.0402 - accuracy: 0.0060\n",
+      "Epoch 68/100\n",
+      "500/500 [==============================] - 0s 132us/sample - loss: 0.0388 - accuracy: 0.0080\n",
+      "Epoch 69/100\n",
+      "500/500 [==============================] - 0s 115us/sample - loss: 0.0375 - accuracy: 0.0080\n",
+      "Epoch 70/100\n",
+      "500/500 [==============================] - 0s 113us/sample - loss: 0.0384 - accuracy: 0.0040\n",
+      "Epoch 71/100\n",
+      "500/500 [==============================] - 0s 109us/sample - loss: 0.0360 - accuracy: 0.0080\n",
+      "Epoch 72/100\n",
+      "500/500 [==============================] - 0s 111us/sample - loss: 0.0350 - accuracy: 0.0080\n",
+      "Epoch 73/100\n",
+      "500/500 [==============================] - 0s 118us/sample - loss: 0.0370 - accuracy: 0.0060\n",
+      "Epoch 74/100\n",
+      "500/500 [==============================] - 0s 95us/sample - loss: 0.0354 - accuracy: 0.0080\n",
+      "Epoch 75/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0376 - accuracy: 0.0060\n",
+      "Epoch 76/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0371 - accuracy: 0.0080\n",
+      "Epoch 77/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0369 - accuracy: 0.0060\n",
+      "Epoch 78/100\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "500/500 [==============================] - 0s 98us/sample - loss: 0.0315 - accuracy: 0.0060\n",
+      "Epoch 79/100\n",
+      "500/500 [==============================] - 0s 97us/sample - loss: 0.0355 - accuracy: 0.0060\n",
+      "Epoch 80/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0278 - accuracy: 0.0080\n",
+      "Epoch 81/100\n",
+      "500/500 [==============================] - 0s 99us/sample - loss: 0.0320 - accuracy: 0.0080\n",
+      "Epoch 82/100\n",
+      "500/500 [==============================] - 0s 99us/sample - loss: 0.0321 - accuracy: 0.0080\n",
+      "Epoch 83/100\n",
+      "500/500 [==============================] - 0s 94us/sample - loss: 0.0332 - accuracy: 0.0060\n",
+      "Epoch 84/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0317 - accuracy: 0.0060\n",
+      "Epoch 85/100\n",
+      "500/500 [==============================] - 0s 103us/sample - loss: 0.0293 - accuracy: 0.0080\n",
+      "Epoch 86/100\n",
+      "500/500 [==============================] - 0s 107us/sample - loss: 0.0304 - accuracy: 0.0060\n",
+      "Epoch 87/100\n",
+      "500/500 [==============================] - 0s 101us/sample - loss: 0.0327 - accuracy: 0.0040\n",
+      "Epoch 88/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0290 - accuracy: 0.0080\n",
+      "Epoch 89/100\n",
+      "500/500 [==============================] - 0s 123us/sample - loss: 0.0293 - accuracy: 0.0060\n",
+      "Epoch 90/100\n",
+      "500/500 [==============================] - 0s 104us/sample - loss: 0.0246 - accuracy: 0.0060\n",
+      "Epoch 91/100\n",
+      "500/500 [==============================] - 0s 124us/sample - loss: 0.0303 - accuracy: 0.0060\n",
+      "Epoch 92/100\n",
+      "500/500 [==============================] - 0s 129us/sample - loss: 0.0376 - accuracy: 0.0080\n",
+      "Epoch 93/100\n",
+      "500/500 [==============================] - 0s 122us/sample - loss: 0.0264 - accuracy: 0.0080\n",
+      "Epoch 94/100\n",
+      "500/500 [==============================] - 0s 102us/sample - loss: 0.0265 - accuracy: 0.0080\n",
+      "Epoch 95/100\n",
+      "500/500 [==============================] - 0s 108us/sample - loss: 0.0291 - accuracy: 0.0080\n",
+      "Epoch 96/100\n",
+      "500/500 [==============================] - 0s 101us/sample - loss: 0.0314 - accuracy: 0.0080\n",
+      "Epoch 97/100\n",
+      "500/500 [==============================] - 0s 95us/sample - loss: 0.0257 - accuracy: 0.0060\n",
+      "Epoch 98/100\n",
+      "500/500 [==============================] - 0s 100us/sample - loss: 0.0248 - accuracy: 0.0080\n",
+      "Epoch 99/100\n",
+      "500/500 [==============================] - 0s 94us/sample - loss: 0.0250 - accuracy: 0.0040\n",
+      "Epoch 100/100\n",
+      "500/500 [==============================] - 0s 106us/sample - loss: 0.0312 - accuracy: 0.0060\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<tensorflow.python.keras.callbacks.History at 0x7f55a3853f60>"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#model.fit(data_input_train, data_labels_train, validation_data=(data_input_test, data_labels_test), epochs=100)\n",
+    "model.fit(data_input_train, data_labels_train, epochs=100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "100/100 - 0s - loss: 0.0470 - accuracy: 0.0100\n",
+      "\n",
+      "Test accuracy: 0.01\n"
+     ]
+    }
+   ],
+   "source": [
+    "test_loss, test_acc = model.evaluate(data_input_test,  data_labels_test, verbose=2)\n",
+    "\n",
+    "print('\\nTest accuracy:', test_acc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[[0.3141548]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "input = np.array([0.46,2,136])\n",
+    "input.shape = (1,3)\n",
+    "\n",
+    "prediction = model.predict(input)\n",
+    "print(prediction)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "predictions = model.predict(data_input_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt \n",
+    "plt.plot(predictions)\n",
+    "plt.plot(data_labels_test, 'r')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 204,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt\n",
+    "a = data_labels_test - predictions\n",
+    "plt.plot(a[0])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 207,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib qt\n",
+    "a = data_labels_test - predictions\n",
+    "plt.plot(predictions)\n",
+    "plt.plot(data_labels_test, 'r')\n",
+    "plt.plot(a[0], 'g')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 180,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-0.08489150602276586"
+      ]
+     },
+     "execution_count": 180,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.average(a[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 182,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model: \"sequential_13\"\n",
+      "_________________________________________________________________\n",
+      "Layer (type)                 Output Shape              Param #   \n",
+      "=================================================================\n",
+      "dense_38 (Dense)             (None, 128)               512       \n",
+      "_________________________________________________________________\n",
+      "dense_39 (Dense)             (None, 512)               66048     \n",
+      "_________________________________________________________________\n",
+      "dense_40 (Dense)             (None, 512)               262656    \n",
+      "_________________________________________________________________\n",
+      "dense_41 (Dense)             (None, 512)               262656    \n",
+      "_________________________________________________________________\n",
+      "dense_42 (Dense)             (None, 128)               65664     \n",
+      "_________________________________________________________________\n",
+      "dense_43 (Dense)             (None, 1)                 129       \n",
+      "=================================================================\n",
+      "Total params: 657,665\n",
+      "Trainable params: 657,665\n",
+      "Non-trainable params: 0\n",
+      "_________________________________________________________________\n"
+     ]
+    }
+   ],
+   "source": [
+    "model.summary()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 183,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "model.save('my_model.h5')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/static/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/static/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
new file mode 100644
index 0000000..2c0934c
--- /dev/null
+++ b/static/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentiment analysis of Guardian World News articles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get articles from a website"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install rss parser dependency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install feedparser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parsing RSS feed for world news"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import feedparser\n",
+    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
+    "feed = feedparser.parse(feed_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "for item in feed.entries:\n",
+    "    # sanitize html\n",
+    "    item.description = re.sub('<[^<]+?>', '', item.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Vader Sentiment library and perform sentiment analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install vaderSentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "analyser = SentimentIntensityAnalyzer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sentiment_results = []\n",
+    "for item in feed.entries:\n",
+    "    sentiment_title = analyser.polarity_scores(item.title)\n",
+    "    sentiment_description = analyser.polarity_scores(item.description)\n",
+    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Matplotlib and visualize compound score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.rcParams['figure.figsize'] = (15, 3)\n",
+    "plt.plot(sentiment_results, drawstyle='steps')\n",
+    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
+    "plt.legend(['title', 'description'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/static/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png b/static/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png
new file mode 100644
index 0000000..7195bbf
Binary files /dev/null and b/static/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png differ
diff --git a/static/assets/sentiment-analysis/sentiment-analysis.ipynb b/static/assets/sentiment-analysis/sentiment-analysis.ipynb
new file mode 100644
index 0000000..2c0934c
--- /dev/null
+++ b/static/assets/sentiment-analysis/sentiment-analysis.ipynb
@@ -0,0 +1,170 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Sentiment analysis of Guardian World News articles"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Get articles from a website"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install rss parser dependency"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install feedparser"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Parsing RSS feed for world news"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import feedparser\n",
+    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
+    "feed = feedparser.parse(feed_url)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import re\n",
+    "for item in feed.entries:\n",
+    "    # sanitize html\n",
+    "    item.description = re.sub('<[^<]+?>', '', item.description)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Vader Sentiment library and perform sentiment analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install vaderSentiment"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
+    "analyser = SentimentIntensityAnalyzer()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sentiment_results = []\n",
+    "for item in feed.entries:\n",
+    "    sentiment_title = analyser.polarity_scores(item.title)\n",
+    "    sentiment_description = analyser.polarity_scores(item.description)\n",
+    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Install Matplotlib and visualize compound score"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "!pip3 install matplotlib"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.rcParams['figure.figsize'] = (15, 3)\n",
+    "plt.plot(sentiment_results, drawstyle='steps')\n",
+    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
+    "plt.legend(['title', 'description'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.7.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
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diff --git a/static/do-fuse/fuse-spaces.png b/static/do-fuse/fuse-spaces.png
deleted file mode 100644
index 4dcc1c5..0000000
Binary files a/static/do-fuse/fuse-spaces.png and /dev/null differ
diff --git a/static/do-fuse/sqlite-benchmarks.tsv b/static/do-fuse/sqlite-benchmarks.tsv
deleted file mode 100644
index daa2c21..0000000
--- a/static/do-fuse/sqlite-benchmarks.tsv
+++ /dev/null
@@ -1,1001 +0,0 @@
-DROPTABLE	CREATETABLE	INSERTMANY	FETCHALL	COMMIT
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diff --git a/static/iot-application/snakeviz.png b/static/iot-application/snakeviz.png
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diff --git a/static/pid1/boxes.mp4 b/static/pid1/boxes.mp4
deleted file mode 100644
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Binary files a/static/pid1/boxes.mp4 and /dev/null differ
diff --git a/static/pid1/qemu.log b/static/pid1/qemu.log
deleted file mode 100644
index 11be312..0000000
--- a/static/pid1/qemu.log
+++ /dev/null
@@ -1,320 +0,0 @@
-[    0.000000] Linux version 5.15.7 (m@khan) (gcc (GCC) 11.2.1 20211203 (Red Hat 11.2.1-7), GNU ld version 2.37-10.fc35) #7 SMP Mon Dec 13 10:23:25 CET 2021
-[    0.000000] Command line: console=ttyS0
-[    0.000000] x86/fpu: x87 FPU will use FXSAVE
-[    0.000000] signal: max sigframe size: 1440
-[    0.000000] BIOS-provided physical RAM map:
-[    0.000000] BIOS-e820: [mem 0x0000000000000000-0x000000000009fbff] usable
-[    0.000000] BIOS-e820: [mem 0x000000000009fc00-0x000000000009ffff] reserved
-[    0.000000] BIOS-e820: [mem 0x00000000000f0000-0x00000000000fffff] reserved
-[    0.000000] BIOS-e820: [mem 0x0000000000100000-0x0000000007fdffff] usable
-[    0.000000] BIOS-e820: [mem 0x0000000007fe0000-0x0000000007ffffff] reserved
-[    0.000000] BIOS-e820: [mem 0x00000000fffc0000-0x00000000ffffffff] reserved
-[    0.000000] NX (Execute Disable) protection: active
-[    0.000000] SMBIOS 2.8 present.
-[    0.000000] DMI: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.14.0-6.fc35 04/01/2014
-[    0.000000] tsc: Fast TSC calibration failed
-[    0.000000] last_pfn = 0x7fe0 max_arch_pfn = 0x400000000
-[    0.000000] x86/PAT: Configuration [0-7]: WB  WC  UC- UC  WB  WP  UC- WT
-[    0.000000] found SMP MP-table at [mem 0x000f5c40-0x000f5c4f]
-[    0.000000] RAMDISK: [mem 0x07e06000-0x07fdffff]
-[    0.000000] ACPI: Early table checksum verification disabled
-[    0.000000] ACPI: RSDP 0x00000000000F5A80 000014 (v00 BOCHS )
-[    0.000000] ACPI: RSDT 0x0000000007FE1905 000034 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: FACP 0x0000000007FE17B9 000074 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: DSDT 0x0000000007FE0040 001779 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: FACS 0x0000000007FE0000 000040
-[    0.000000] ACPI: APIC 0x0000000007FE182D 000078 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: HPET 0x0000000007FE18A5 000038 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: WAET 0x0000000007FE18DD 000028 (v01 BOCHS  BXPC     00000001 BXPC 00000001)
-[    0.000000] ACPI: Reserving FACP table memory at [mem 0x7fe17b9-0x7fe182c]
-[    0.000000] ACPI: Reserving DSDT table memory at [mem 0x7fe0040-0x7fe17b8]
-[    0.000000] ACPI: Reserving FACS table memory at [mem 0x7fe0000-0x7fe003f]
-[    0.000000] ACPI: Reserving APIC table memory at [mem 0x7fe182d-0x7fe18a4]
-[    0.000000] ACPI: Reserving HPET table memory at [mem 0x7fe18a5-0x7fe18dc]
-[    0.000000] ACPI: Reserving WAET table memory at [mem 0x7fe18dd-0x7fe1904]
-[    0.000000] No NUMA configuration found
-[    0.000000] Faking a node at [mem 0x0000000000000000-0x0000000007fdffff]
-[    0.000000] NODE_DATA(0) allocated [mem 0x07e02000-0x07e05fff]
-[    0.000000] Zone ranges:
-[    0.000000]   DMA      [mem 0x0000000000001000-0x0000000000ffffff]
-[    0.000000]   DMA32    [mem 0x0000000001000000-0x0000000007fdffff]
-[    0.000000]   Normal   empty
-[    0.000000] Movable zone start for each node
-[    0.000000] Early memory node ranges
-[    0.000000]   node   0: [mem 0x0000000000001000-0x000000000009efff]
-[    0.000000]   node   0: [mem 0x0000000000100000-0x0000000007fdffff]
-[    0.000000] Initmem setup node 0 [mem 0x0000000000001000-0x0000000007fdffff]
-[    0.000000] On node 0, zone DMA: 1 pages in unavailable ranges
-[    0.000000] On node 0, zone DMA: 97 pages in unavailable ranges
-[    0.000000] On node 0, zone DMA32: 32 pages in unavailable ranges
-[    0.000000] ACPI: PM-Timer IO Port: 0x608
-[    0.000000] ACPI: LAPIC_NMI (acpi_id[0xff] dfl dfl lint[0x1])
-[    0.000000] IOAPIC[0]: apic_id 0, version 32, address 0xfec00000, GSI 0-23
-[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 0 global_irq 2 dfl dfl)
-[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 5 global_irq 5 high level)
-[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 9 global_irq 9 high level)
-[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 10 global_irq 10 high level)
-[    0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 11 global_irq 11 high level)
-[    0.000000] ACPI: Using ACPI (MADT) for SMP configuration information
-[    0.000000] ACPI: HPET id: 0x8086a201 base: 0xfed00000
-[    0.000000] smpboot: Allowing 1 CPUs, 0 hotplug CPUs
-[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x00000000-0x00000fff]
-[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x0009f000-0x0009ffff]
-[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000a0000-0x000effff]
-[    0.000000] PM: hibernation: Registered nosave memory: [mem 0x000f0000-0x000fffff]
-[    0.000000] [mem 0x08000000-0xfffbffff] available for PCI devices
-[    0.000000] clocksource: refined-jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1910969940391419 ns
-[    0.000000] setup_percpu: NR_CPUS:64 nr_cpumask_bits:64 nr_cpu_ids:1 nr_node_ids:1
-[    0.000000] percpu: Embedded 52 pages/cpu s174360 r8192 d30440 u2097152
-[    0.000000] Built 1 zonelists, mobility grouping on.  Total pages: 31968
-[    0.000000] Policy zone: DMA32
-[    0.000000] Kernel command line: console=ttyS0
-[    0.000000] Dentry cache hash table entries: 16384 (order: 5, 131072 bytes, linear)
-[    0.000000] Inode-cache hash table entries: 8192 (order: 4, 65536 bytes, linear)
-[    0.000000] mem auto-init: stack:off, heap alloc:off, heap free:off
-[    0.000000] Memory: 94464K/130552K available (14350K kernel code, 2582K rwdata, 3596K rodata, 1368K init, 1488K bss, 35828K reserved, 0K cma-reserved)
-[    0.000000] SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=1, Nodes=1
-[    0.000000] rcu: Hierarchical RCU implementation.
-[    0.000000] rcu: 	RCU event tracing is enabled.
-[    0.000000] rcu: 	RCU restricting CPUs from NR_CPUS=64 to nr_cpu_ids=1.
-[    0.000000] rcu: RCU calculated value of scheduler-enlistment delay is 100 jiffies.
-[    0.000000] rcu: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=1
-[    0.000000] NR_IRQS: 4352, nr_irqs: 256, preallocated irqs: 16
-[    0.000000] random: get_random_bytes called from start_kernel+0x492/0x65f with crng_init=0
-[    0.000000] Console: colour VGA+ 80x25
-[    0.000000] printk: console [ttyS0] enabled
-[    0.000000] ACPI: Core revision 20210730
-[    0.000000] clocksource: hpet: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 19112604467 ns
-[    0.002000] APIC: Switch to symmetric I/O mode setup
-[    0.005000] ..TIMER: vector=0x30 apic1=0 pin1=2 apic2=-1 pin2=-1
-[    0.013000] tsc: Unable to calibrate against PIT
-[    0.014000] tsc: using HPET reference calibration
-[    0.014000] tsc: Detected 3189.099 MHz processor
-[    0.001005] clocksource: tsc-early: mask: 0xffffffffffffffff max_cycles: 0x2df8103a89b, max_idle_ns: 440795220785 ns
-[    0.002672] Calibrating delay loop (skipped), value calculated using timer frequency.. 6378.19 BogoMIPS (lpj=3189099)
-[    0.002960] pid_max: default: 32768 minimum: 301
-[    0.003627] LSM: Security Framework initializing
-[    0.004329] SELinux:  Initializing.
-[    0.005051] Mount-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
-[    0.005202] Mountpoint-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
-[    0.020479] process: using AMD E400 aware idle routine
-[    0.020699] Last level iTLB entries: 4KB 512, 2MB 255, 4MB 127
-[    0.020832] Last level dTLB entries: 4KB 512, 2MB 255, 4MB 127, 1GB 0
-[    0.021165] Spectre V1 : Mitigation: usercopy/swapgs barriers and __user pointer sanitization
-[    0.021438] Spectre V2 : Mitigation: Full AMD retpoline
-[    0.021586] Spectre V2 : Spectre v2 / SpectreRSB mitigation: Filling RSB on context switch
-[    0.238228] Freeing SMP alternatives memory: 44K
-[    0.242641] random: fast init done
-[    0.350203] smpboot: CPU0: AMD QEMU Virtual CPU version 2.5+ (family: 0xf, model: 0x6b, stepping: 0x1)
-[    0.355136] Performance Events: PMU not available due to virtualization, using software events only.
-[    0.356607] rcu: Hierarchical SRCU implementation.
-[    0.360890] smp: Bringing up secondary CPUs ...
-[    0.361082] smp: Brought up 1 node, 1 CPU
-[    0.361253] smpboot: Max logical packages: 1
-[    0.361394] smpboot: Total of 1 processors activated (6378.19 BogoMIPS)
-[    0.371481] devtmpfs: initialized
-[    0.378162] clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1911260446275000 ns
-[    0.378478] futex hash table entries: 256 (order: 2, 16384 bytes, linear)
-[    0.381522] PM: RTC time: 00:19:47, date: 2021-12-27
-[    0.384915] NET: Registered PF_NETLINK/PF_ROUTE protocol family
-[    0.387403] audit: initializing netlink subsys (disabled)
-[    0.391765] audit: type=2000 audit(1640564386.402:1): state=initialized audit_enabled=0 res=1
-[    0.392916] thermal_sys: Registered thermal governor 'step_wise'
-[    0.392950] thermal_sys: Registered thermal governor 'user_space'
-[    0.393202] cpuidle: using governor menu
-[    0.394085] ACPI: bus type PCI registered
-[    0.396583] PCI: Using configuration type 1 for base access
-[    0.415012] Kprobes globally optimized
-[    0.416844] HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages
-[    0.420649] cryptomgr_test (20) used greatest stack depth: 15680 bytes left
-[    0.426071] ACPI: Added _OSI(Module Device)
-[    0.426182] ACPI: Added _OSI(Processor Device)
-[    0.426279] ACPI: Added _OSI(3.0 _SCP Extensions)
-[    0.426376] ACPI: Added _OSI(Processor Aggregator Device)
-[    0.426606] ACPI: Added _OSI(Linux-Dell-Video)
-[    0.426709] ACPI: Added _OSI(Linux-Lenovo-NV-HDMI-Audio)
-[    0.426821] ACPI: Added _OSI(Linux-HPI-Hybrid-Graphics)
-[    0.439511] ACPI: 1 ACPI AML tables successfully acquired and loaded
-[    0.452709] ACPI: Interpreter enabled
-[    0.453468] ACPI: PM: (supports S0 S3 S4 S5)
-[    0.453603] ACPI: Using IOAPIC for interrupt routing
-[    0.454022] PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug
-[    0.455266] ACPI: Enabled 2 GPEs in block 00 to 0F
-[    0.480013] ACPI: PCI Root Bridge [PCI0] (domain 0000 [bus 00-ff])
-[    0.480702] acpi PNP0A03:00: _OSC: OS supports [ASPM ClockPM Segments MSI HPX-Type3]
-[    0.481425] acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge.
-[    0.483666] PCI host bridge to bus 0000:00
-[    0.483848] pci_bus 0000:00: root bus resource [io  0x0000-0x0cf7 window]
-[    0.484096] pci_bus 0000:00: root bus resource [io  0x0d00-0xffff window]
-[    0.484237] pci_bus 0000:00: root bus resource [mem 0x000a0000-0x000bffff window]
-[    0.484480] pci_bus 0000:00: root bus resource [mem 0x08000000-0xfebfffff window]
-[    0.484578] pci_bus 0000:00: root bus resource [mem 0x100000000-0x17fffffff window]
-[    0.484870] pci_bus 0000:00: root bus resource [bus 00-ff]
-[    0.486588] pci 0000:00:00.0: [8086:1237] type 00 class 0x060000
-[    0.492625] pci 0000:00:01.0: [8086:7000] type 00 class 0x060100
-[    0.493621] pci 0000:00:01.1: [8086:7010] type 00 class 0x010180
-[    0.495015] pci 0000:00:01.1: reg 0x20: [io  0xc040-0xc04f]
-[    0.495760] pci 0000:00:01.1: legacy IDE quirk: reg 0x10: [io  0x01f0-0x01f7]
-[    0.495936] pci 0000:00:01.1: legacy IDE quirk: reg 0x14: [io  0x03f6]
-[    0.496095] pci 0000:00:01.1: legacy IDE quirk: reg 0x18: [io  0x0170-0x0177]
-[    0.496598] pci 0000:00:01.1: legacy IDE quirk: reg 0x1c: [io  0x0376]
-[    0.497793] pci 0000:00:01.3: [8086:7113] type 00 class 0x068000
-[    0.498219] pci 0000:00:01.3: quirk: [io  0x0600-0x063f] claimed by PIIX4 ACPI
-[    0.498384] pci 0000:00:01.3: quirk: [io  0x0700-0x070f] claimed by PIIX4 SMB
-[    0.499487] pci 0000:00:02.0: [1234:1111] type 00 class 0x030000
-[    0.500186] pci 0000:00:02.0: reg 0x10: [mem 0xfd000000-0xfdffffff pref]
-[    0.500569] pci 0000:00:02.0: reg 0x18: [mem 0xfebf0000-0xfebf0fff]
-[    0.502569] pci 0000:00:02.0: reg 0x30: [mem 0xfebe0000-0xfebeffff pref]
-[    0.508052] pci 0000:00:03.0: [8086:100e] type 00 class 0x020000
-[    0.508590] pci 0000:00:03.0: reg 0x10: [mem 0xfebc0000-0xfebdffff]
-[    0.509075] pci 0000:00:03.0: reg 0x14: [io  0xc000-0xc03f]
-[    0.511015] pci 0000:00:03.0: reg 0x30: [mem 0xfeb80000-0xfebbffff pref]
-[    0.517286] ACPI: PCI: Interrupt link LNKA configured for IRQ 10
-[    0.518032] ACPI: PCI: Interrupt link LNKB configured for IRQ 10
-[    0.518504] ACPI: PCI: Interrupt link LNKC configured for IRQ 11
-[    0.518920] ACPI: PCI: Interrupt link LNKD configured for IRQ 11
-[    0.519208] ACPI: PCI: Interrupt link LNKS configured for IRQ 9
-[    0.521412] iommu: Default domain type: Translated
-[    0.521589] iommu: DMA domain TLB invalidation policy: lazy mode
-[    0.524448] pci 0000:00:02.0: vgaarb: setting as boot VGA device
-[    0.524569] pci 0000:00:02.0: vgaarb: VGA device added: decodes=io+mem,owns=io+mem,locks=none
-[    0.524633] pci 0000:00:02.0: vgaarb: bridge control possible
-[    0.524846] vgaarb: loaded
-[    0.526151] SCSI subsystem initialized
-[    0.528124] ACPI: bus type USB registered
-[    0.528600] usbcore: registered new interface driver usbfs
-[    0.528917] usbcore: registered new interface driver hub
-[    0.529156] usbcore: registered new device driver usb
-[    0.529593] pps_core: LinuxPPS API ver. 1 registered
-[    0.529693] pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it>
-[    0.529916] PTP clock support registered
-[    0.531428] Advanced Linux Sound Architecture Driver Initialized.
-[    0.538313] NetLabel: Initializing
-[    0.538413] NetLabel:  domain hash size = 128
-[    0.538513] NetLabel:  protocols = UNLABELED CIPSOv4 CALIPSO
-[    0.539300] NetLabel:  unlabeled traffic allowed by default
-[    0.540192] PCI: Using ACPI for IRQ routing
-[    0.541336] hpet: 3 channels of 0 reserved for per-cpu timers
-[    0.541742] hpet0: at MMIO 0xfed00000, IRQs 2, 8, 0
-[    0.541934] hpet0: 3 comparators, 64-bit 100.000000 MHz counter
-[    0.547124] clocksource: Switched to clocksource tsc-early
-[    0.589778] VFS: Disk quotas dquot_6.6.0
-[    0.590116] VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)
-[    0.591999] pnp: PnP ACPI init
-[    1.348853] pnp: PnP ACPI: found 6 devices
-[    1.363393] clocksource: acpi_pm: mask: 0xffffff max_cycles: 0xffffff, max_idle_ns: 2085701024 ns
-[    1.364026] NET: Registered PF_INET protocol family
-[    1.364871] IP idents hash table entries: 2048 (order: 2, 16384 bytes, linear)
-[    1.369722] tcp_listen_portaddr_hash hash table entries: 256 (order: 0, 4096 bytes, linear)
-[    1.369973] TCP established hash table entries: 1024 (order: 1, 8192 bytes, linear)
-[    1.370241] TCP bind hash table entries: 1024 (order: 2, 16384 bytes, linear)
-[    1.370483] TCP: Hash tables configured (established 1024 bind 1024)
-[    1.371348] UDP hash table entries: 256 (order: 1, 8192 bytes, linear)
-[    1.371835] UDP-Lite hash table entries: 256 (order: 1, 8192 bytes, linear)
-[    1.373053] NET: Registered PF_UNIX/PF_LOCAL protocol family
-[    1.374701] RPC: Registered named UNIX socket transport module.
-[    1.375153] RPC: Registered udp transport module.
-[    1.375280] RPC: Registered tcp transport module.
-[    1.375386] RPC: Registered tcp NFSv4.1 backchannel transport module.
-[    1.377429] pci_bus 0000:00: resource 4 [io  0x0000-0x0cf7 window]
-[    1.377567] pci_bus 0000:00: resource 5 [io  0x0d00-0xffff window]
-[    1.377738] pci_bus 0000:00: resource 6 [mem 0x000a0000-0x000bffff window]
-[    1.377893] pci_bus 0000:00: resource 7 [mem 0x08000000-0xfebfffff window]
-[    1.378032] pci_bus 0000:00: resource 8 [mem 0x100000000-0x17fffffff window]
-[    1.378574] pci 0000:00:01.0: PIIX3: Enabling Passive Release
-[    1.378817] pci 0000:00:00.0: Limiting direct PCI/PCI transfers
-[    1.378993] pci 0000:00:01.0: Activating ISA DMA hang workarounds
-[    1.379296] pci 0000:00:02.0: Video device with shadowed ROM at [mem 0x000c0000-0x000dffff]
-[    1.379537] PCI: CLS 0 bytes, default 64
-[    1.385473] Unpacking initramfs...
-[    1.394653] Initialise system trusted keyrings
-[    1.395898] workingset: timestamp_bits=56 max_order=15 bucket_order=0
-[    1.400517] Freeing initrd memory: 1896K
-[    1.409899] NFS: Registering the id_resolver key type
-[    1.410240] Key type id_resolver registered
-[    1.410358] Key type id_legacy registered
-[    1.436299] Key type asymmetric registered
-[    1.436505] Asymmetric key parser 'x509' registered
-[    1.436899] Block layer SCSI generic (bsg) driver version 0.4 loaded (major 251)
-[    1.437334] io scheduler mq-deadline registered
-[    1.437848] io scheduler kyber registered
-[    1.440723] input: Power Button as /devices/LNXSYSTM:00/LNXPWRBN:00/input/input0
-[    1.443386] ACPI: button: Power Button [PWRF]
-[    1.445654] Serial: 8250/16550 driver, 4 ports, IRQ sharing enabled
-[    1.447264] 00:04: ttyS0 at I/O 0x3f8 (irq = 4, base_baud = 115200) is a 16550A
-[    1.450740] Non-volatile memory driver v1.3
-[    1.451106] Linux agpgart interface v0.103
-[    1.467087] loop: module loaded
-[    1.474468] scsi host0: ata_piix
-[    1.476252] scsi host1: ata_piix
-[    1.476701] ata1: PATA max MWDMA2 cmd 0x1f0 ctl 0x3f6 bmdma 0xc040 irq 14
-[    1.476882] ata2: PATA max MWDMA2 cmd 0x170 ctl 0x376 bmdma 0xc048 irq 15
-[    1.481539] libphy: Fixed MDIO Bus: probed
-[    1.482188] e100: Intel(R) PRO/100 Network Driver
-[    1.482313] e100: Copyright(c) 1999-2006 Intel Corporation
-[    1.482507] e1000: Intel(R) PRO/1000 Network Driver
-[    1.482702] e1000: Copyright (c) 1999-2006 Intel Corporation.
-[    1.616439] ACPI: \_SB_.LNKC: Enabled at IRQ 11
-[    1.649465] ata2.00: ATAPI: QEMU DVD-ROM, 2.5+, max UDMA/100
-[    1.664135] scsi 1:0:0:0: CD-ROM            QEMU     QEMU DVD-ROM     2.5+ PQ: 0 ANSI: 5
-[    1.693021] sr 1:0:0:0: [sr0] scsi3-mmc drive: 4x/4x cd/rw xa/form2 tray
-[    1.693338] cdrom: Uniform CD-ROM driver Revision: 3.20
-[    1.723925] sr 1:0:0:0: Attached scsi generic sg0 type 5
-[    1.946674] e1000 0000:00:03.0 eth0: (PCI:33MHz:32-bit) 52:54:00:12:34:56
-[    1.947107] e1000 0000:00:03.0 eth0: Intel(R) PRO/1000 Network Connection
-[    1.947650] e1000e: Intel(R) PRO/1000 Network Driver
-[    1.947749] e1000e: Copyright(c) 1999 - 2015 Intel Corporation.
-[    1.947947] sky2: driver version 1.30
-[    1.948805] ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver
-[    1.948993] ehci-pci: EHCI PCI platform driver
-[    1.949218] ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver
-[    1.949394] ohci-pci: OHCI PCI platform driver
-[    1.949636] uhci_hcd: USB Universal Host Controller Interface driver
-[    1.950082] usbcore: registered new interface driver usblp
-[    1.950302] usbcore: registered new interface driver usb-storage
-[    1.951012] i8042: PNP: PS/2 Controller [PNP0303:KBD,PNP0f13:MOU] at 0x60,0x64 irq 1,12
-[    1.954333] serio: i8042 KBD port at 0x60,0x64 irq 1
-[    1.954634] serio: i8042 AUX port at 0x60,0x64 irq 12
-[    1.957984] input: AT Translated Set 2 keyboard as /devices/platform/i8042/serio0/input/input1
-[    1.960071] rtc_cmos 00:05: RTC can wake from S4
-[    1.964738] rtc_cmos 00:05: registered as rtc0
-[    1.965357] rtc_cmos 00:05: alarms up to one day, y3k, 242 bytes nvram, hpet irqs
-[    1.966676] device-mapper: ioctl: 4.45.0-ioctl (2021-03-22) initialised: dm-devel@redhat.com
-[    1.967364] hid: raw HID events driver (C) Jiri Kosina
-[    1.968571] usbcore: registered new interface driver usbhid
-[    1.968750] usbhid: USB HID core driver
-[    1.974818] Initializing XFRM netlink socket
-[    1.975673] NET: Registered PF_INET6 protocol family
-[    1.981212] Segment Routing with IPv6
-[    1.981421] In-situ OAM (IOAM) with IPv6
-[    1.982292] sit: IPv6, IPv4 and MPLS over IPv4 tunneling driver
-[    1.984278] NET: Registered PF_PACKET protocol family
-[    1.984857] Key type dns_resolver registered
-[    1.985989] IPI shorthand broadcast: enabled
-[    1.986261] sched_clock: Marking stable (1999028700, -13430834)->(1985937339, -339473)
-[    1.987965] registered taskstats version 1
-[    1.988095] Loading compiled-in X.509 certificates
-[    1.991283] PM:   Magic number: 1:335:305
-[    1.991523] tty tty34: hash matches
-[    1.991951] printk: console [netcon0] enabled
-[    1.992067] netconsole: network logging started
-[    1.994549] cfg80211: Loading compiled-in X.509 certificates for regulatory database
-[    2.004972] kworker/u2:2 (64) used greatest stack depth: 14856 bytes left
-[    2.012521] cfg80211: Loaded X.509 cert 'sforshee: 00b28ddf47aef9cea7'
-[    2.013924] platform regulatory.0: Direct firmware load for regulatory.db failed with error -2
-[    2.014318] cfg80211: failed to load regulatory.db
-[    2.016106] ALSA device list:
-[    2.016329]   No soundcards found.
-[    2.053176] Freeing unused kernel image (initmem) memory: 1368K
-[    2.056095] Write protecting the kernel read-only data: 20480k
-[    2.058248] Freeing unused kernel image (text/rodata gap) memory: 2032K
-[    2.058811] Freeing unused kernel image (rodata/data gap) memory: 500K
-[    2.059164] Run /init as init process
-Hello from Golang
-[    2.386879] tsc: Refined TSC clocksource calibration: 3192.032 MHz
-[    2.387114] clocksource: tsc: mask: 0xffffffffffffffff max_cycles: 0x2e02e31fa14, max_idle_ns: 440795264947 ns
-[    2.387380] clocksource: Switched to clocksource tsc
-[    2.587895] input: ImExPS/2 Generic Explorer Mouse as /devices/platform/i8042/serio1/input/input3
-Hello from Golang
-Hello from Golang
-Hello from Golang
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-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "2.0.0-beta1\n"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:541: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:542: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:543: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:544: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:545: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
-      "/home/m/.local/lib/python3.7/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:550: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.\n",
-      "  np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
-     ]
-    }
-   ],
-   "source": [
-    "import tensorflow as tf\n",
-    "from tensorflow import keras\n",
-    "\n",
-    "# Helper libraries\n",
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "print(tf.__version__)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from numpy import genfromtxt\n",
-    "data = genfromtxt('data.csv', delimiter=',')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "data_input = data[:,0:3]\n",
-    "data_labels = data[:,3]\n",
-    "\n",
-    "#data_input = np.transpose(data_input)\n",
-    "#data_labels = np.transpose(data_labels)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(600, 3)\n",
-      "[1.e-01 1.e+00 3.e+02]\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(np.shape(data_input))\n",
-    "print(data_input[2])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "print(len(data_input))\n",
-    "print(len(data_labels))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "(500, 3)\n",
-      "(100, 3)\n",
-      "(500,)\n",
-      "(100,)\n"
-     ]
-    }
-   ],
-   "source": [
-    "data_input_train = data_input[0:500,:]\n",
-    "data_input_test = data_input[500:,:]\n",
-    "\n",
-    "data_labels_train = data_labels[0:500]\n",
-    "data_labels_test = data_labels[500:]\n",
-    "\n",
-    "print(np.shape(data_input_train))\n",
-    "print(np.shape(data_input_test))\n",
-    "\n",
-    "print(np.shape(data_labels_train))\n",
-    "print(np.shape(data_labels_test))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "model = keras.Sequential([\n",
-    "    keras.layers.Dense(128, activation='relu', input_shape=[3]),\n",
-    "    keras.layers.Dense(512, activation='relu'),\n",
-    "    keras.layers.Dense(512, activation='relu'),\n",
-    "    keras.layers.Dense(512, activation='relu'),\n",
-    "    keras.layers.Dense(128, activation='relu'),\n",
-    "    keras.layers.Dense(1)\n",
-    "])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "optimizer = tf.keras.optimizers.RMSprop(0.001)\n",
-    "model.compile(loss='mse',\n",
-    "                optimizer=optimizer,\n",
-    "                metrics=['accuracy'])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Train on 500 samples\n",
-      "Epoch 1/100\n",
-      "500/500 [==============================] - 0s 399us/sample - loss: 247.2794 - accuracy: 0.0040\n",
-      "Epoch 2/100\n",
-      "500/500 [==============================] - 0s 121us/sample - loss: 4.2495 - accuracy: 0.0060\n",
-      "Epoch 3/100\n",
-      "500/500 [==============================] - 0s 131us/sample - loss: 1.8787 - accuracy: 0.0040\n",
-      "Epoch 4/100\n",
-      "500/500 [==============================] - 0s 121us/sample - loss: 0.4284 - accuracy: 0.0060\n",
-      "Epoch 5/100\n",
-      "500/500 [==============================] - 0s 107us/sample - loss: 4.7904 - accuracy: 0.0080\n",
-      "Epoch 6/100\n",
-      "500/500 [==============================] - 0s 113us/sample - loss: 0.0819 - accuracy: 0.0040\n",
-      "Epoch 7/100\n",
-      "500/500 [==============================] - 0s 108us/sample - loss: 1.6904 - accuracy: 0.0040\n",
-      "Epoch 8/100\n",
-      "500/500 [==============================] - 0s 116us/sample - loss: 0.1761 - accuracy: 0.0040\n",
-      "Epoch 9/100\n",
-      "500/500 [==============================] - 0s 142us/sample - loss: 0.1135 - accuracy: 0.0040\n",
-      "Epoch 10/100\n",
-      "500/500 [==============================] - 0s 124us/sample - loss: 0.4387 - accuracy: 0.0040\n",
-      "Epoch 11/100\n",
-      "500/500 [==============================] - 0s 112us/sample - loss: 0.0815 - accuracy: 0.0040\n",
-      "Epoch 12/100\n",
-      "500/500 [==============================] - 0s 117us/sample - loss: 0.1725 - accuracy: 0.0040\n",
-      "Epoch 13/100\n",
-      "500/500 [==============================] - 0s 119us/sample - loss: 0.1487 - accuracy: 0.0040\n",
-      "Epoch 14/100\n",
-      "500/500 [==============================] - 0s 111us/sample - loss: 0.0720 - accuracy: 0.0040\n",
-      "Epoch 15/100\n",
-      "500/500 [==============================] - 0s 111us/sample - loss: 0.3110 - accuracy: 0.0040\n",
-      "Epoch 16/100\n",
-      "500/500 [==============================] - 0s 128us/sample - loss: 0.0947 - accuracy: 0.0040\n",
-      "Epoch 17/100\n",
-      "500/500 [==============================] - 0s 133us/sample - loss: 0.0739 - accuracy: 0.0040\n",
-      "Epoch 18/100\n",
-      "500/500 [==============================] - 0s 131us/sample - loss: 0.1353 - accuracy: 0.0060\n",
-      "Epoch 19/100\n",
-      "500/500 [==============================] - 0s 135us/sample - loss: 0.0837 - accuracy: 0.0040\n",
-      "Epoch 20/100\n",
-      "500/500 [==============================] - 0s 130us/sample - loss: 0.0754 - accuracy: 0.0040\n",
-      "Epoch 21/100\n",
-      "500/500 [==============================] - 0s 118us/sample - loss: 0.0840 - accuracy: 0.0040\n",
-      "Epoch 22/100\n",
-      "500/500 [==============================] - 0s 115us/sample - loss: 0.1105 - accuracy: 0.0040\n",
-      "Epoch 23/100\n",
-      "500/500 [==============================] - 0s 116us/sample - loss: 0.0651 - accuracy: 0.0040\n",
-      "Epoch 24/100\n",
-      "500/500 [==============================] - 0s 109us/sample - loss: 0.0615 - accuracy: 0.0040\n",
-      "Epoch 25/100\n",
-      "500/500 [==============================] - 0s 118us/sample - loss: 0.0656 - accuracy: 0.0040\n",
-      "Epoch 26/100\n",
-      "500/500 [==============================] - 0s 113us/sample - loss: 0.0695 - accuracy: 0.0040\n",
-      "Epoch 27/100\n",
-      "500/500 [==============================] - 0s 116us/sample - loss: 0.0585 - accuracy: 0.0040\n",
-      "Epoch 28/100\n",
-      "500/500 [==============================] - 0s 118us/sample - loss: 0.1300 - accuracy: 0.0040\n",
-      "Epoch 29/100\n",
-      "500/500 [==============================] - 0s 112us/sample - loss: 0.0567 - accuracy: 0.0040\n",
-      "Epoch 30/100\n",
-      "500/500 [==============================] - 0s 137us/sample - loss: 0.0647 - accuracy: 0.0040\n",
-      "Epoch 31/100\n",
-      "500/500 [==============================] - 0s 130us/sample - loss: 0.0559 - accuracy: 0.0040\n",
-      "Epoch 32/100\n",
-      "500/500 [==============================] - 0s 130us/sample - loss: 0.0576 - accuracy: 0.0040\n",
-      "Epoch 33/100\n",
-      "500/500 [==============================] - 0s 128us/sample - loss: 0.0578 - accuracy: 0.0040\n",
-      "Epoch 34/100\n",
-      "500/500 [==============================] - 0s 130us/sample - loss: 0.0512 - accuracy: 0.0040\n",
-      "Epoch 35/100\n",
-      "500/500 [==============================] - 0s 114us/sample - loss: 0.0601 - accuracy: 0.0040\n",
-      "Epoch 36/100\n",
-      "500/500 [==============================] - 0s 111us/sample - loss: 0.0531 - accuracy: 0.0040\n",
-      "Epoch 37/100\n",
-      "500/500 [==============================] - 0s 130us/sample - loss: 0.0532 - accuracy: 0.0040\n",
-      "Epoch 38/100\n",
-      "500/500 [==============================] - 0s 131us/sample - loss: 0.0480 - accuracy: 0.0040\n",
-      "Epoch 39/100\n",
-      "500/500 [==============================] - 0s 136us/sample - loss: 0.0503 - accuracy: 0.0040\n",
-      "Epoch 40/100\n",
-      "500/500 [==============================] - 0s 134us/sample - loss: 0.0468 - accuracy: 0.0040\n",
-      "Epoch 41/100\n",
-      "500/500 [==============================] - 0s 115us/sample - loss: 0.0509 - accuracy: 0.0040\n",
-      "Epoch 42/100\n",
-      "500/500 [==============================] - 0s 109us/sample - loss: 0.0453 - accuracy: 0.0040\n",
-      "Epoch 43/100\n",
-      "500/500 [==============================] - 0s 111us/sample - loss: 0.0484 - accuracy: 0.0040\n",
-      "Epoch 44/100\n",
-      "500/500 [==============================] - 0s 104us/sample - loss: 0.0458 - accuracy: 0.0040\n",
-      "Epoch 45/100\n",
-      "500/500 [==============================] - 0s 110us/sample - loss: 0.0481 - accuracy: 0.0040\n",
-      "Epoch 46/100\n",
-      "500/500 [==============================] - 0s 114us/sample - loss: 0.0468 - accuracy: 0.0060\n",
-      "Epoch 47/100\n",
-      "500/500 [==============================] - 0s 124us/sample - loss: 0.0473 - accuracy: 0.0060\n",
-      "Epoch 48/100\n",
-      "500/500 [==============================] - 0s 137us/sample - loss: 0.0455 - accuracy: 0.0040\n",
-      "Epoch 49/100\n",
-      "500/500 [==============================] - 0s 125us/sample - loss: 0.0431 - accuracy: 0.0060\n",
-      "Epoch 50/100\n",
-      "500/500 [==============================] - 0s 132us/sample - loss: 0.0432 - accuracy: 0.0060\n",
-      "Epoch 51/100\n",
-      "500/500 [==============================] - 0s 116us/sample - loss: 0.0484 - accuracy: 0.0060\n",
-      "Epoch 52/100\n",
-      "500/500 [==============================] - 0s 112us/sample - loss: 0.0482 - accuracy: 0.0040\n",
-      "Epoch 53/100\n",
-      "500/500 [==============================] - 0s 117us/sample - loss: 0.0444 - accuracy: 0.0060\n",
-      "Epoch 54/100\n",
-      "500/500 [==============================] - 0s 109us/sample - loss: 0.0469 - accuracy: 0.0060\n",
-      "Epoch 55/100\n",
-      "500/500 [==============================] - 0s 106us/sample - loss: 0.0427 - accuracy: 0.0040\n",
-      "Epoch 56/100\n",
-      "500/500 [==============================] - 0s 110us/sample - loss: 0.0433 - accuracy: 0.0040\n",
-      "Epoch 57/100\n",
-      "500/500 [==============================] - 0s 102us/sample - loss: 0.0437 - accuracy: 0.0060\n",
-      "Epoch 58/100\n",
-      "500/500 [==============================] - 0s 117us/sample - loss: 0.0425 - accuracy: 0.0040\n",
-      "Epoch 59/100\n",
-      "500/500 [==============================] - 0s 105us/sample - loss: 0.0418 - accuracy: 0.0040\n",
-      "Epoch 60/100\n",
-      "500/500 [==============================] - 0s 109us/sample - loss: 0.0397 - accuracy: 0.0040\n",
-      "Epoch 61/100\n",
-      "500/500 [==============================] - 0s 119us/sample - loss: 0.0507 - accuracy: 0.0040\n",
-      "Epoch 62/100\n",
-      "500/500 [==============================] - 0s 112us/sample - loss: 0.0402 - accuracy: 0.0060\n",
-      "Epoch 63/100\n",
-      "500/500 [==============================] - 0s 133us/sample - loss: 0.0397 - accuracy: 0.0040\n",
-      "Epoch 64/100\n",
-      "500/500 [==============================] - 0s 132us/sample - loss: 0.0427 - accuracy: 0.0060\n",
-      "Epoch 65/100\n",
-      "500/500 [==============================] - 0s 138us/sample - loss: 0.0398 - accuracy: 0.0040\n",
-      "Epoch 66/100\n",
-      "500/500 [==============================] - 0s 145us/sample - loss: 0.0375 - accuracy: 0.0060\n",
-      "Epoch 67/100\n",
-      "500/500 [==============================] - 0s 138us/sample - loss: 0.0402 - accuracy: 0.0060\n",
-      "Epoch 68/100\n",
-      "500/500 [==============================] - 0s 132us/sample - loss: 0.0388 - accuracy: 0.0080\n",
-      "Epoch 69/100\n",
-      "500/500 [==============================] - 0s 115us/sample - loss: 0.0375 - accuracy: 0.0080\n",
-      "Epoch 70/100\n",
-      "500/500 [==============================] - 0s 113us/sample - loss: 0.0384 - accuracy: 0.0040\n",
-      "Epoch 71/100\n",
-      "500/500 [==============================] - 0s 109us/sample - loss: 0.0360 - accuracy: 0.0080\n",
-      "Epoch 72/100\n",
-      "500/500 [==============================] - 0s 111us/sample - loss: 0.0350 - accuracy: 0.0080\n",
-      "Epoch 73/100\n",
-      "500/500 [==============================] - 0s 118us/sample - loss: 0.0370 - accuracy: 0.0060\n",
-      "Epoch 74/100\n",
-      "500/500 [==============================] - 0s 95us/sample - loss: 0.0354 - accuracy: 0.0080\n",
-      "Epoch 75/100\n",
-      "500/500 [==============================] - 0s 102us/sample - loss: 0.0376 - accuracy: 0.0060\n",
-      "Epoch 76/100\n",
-      "500/500 [==============================] - 0s 106us/sample - loss: 0.0371 - accuracy: 0.0080\n",
-      "Epoch 77/100\n",
-      "500/500 [==============================] - 0s 100us/sample - loss: 0.0369 - accuracy: 0.0060\n",
-      "Epoch 78/100\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "500/500 [==============================] - 0s 98us/sample - loss: 0.0315 - accuracy: 0.0060\n",
-      "Epoch 79/100\n",
-      "500/500 [==============================] - 0s 97us/sample - loss: 0.0355 - accuracy: 0.0060\n",
-      "Epoch 80/100\n",
-      "500/500 [==============================] - 0s 100us/sample - loss: 0.0278 - accuracy: 0.0080\n",
-      "Epoch 81/100\n",
-      "500/500 [==============================] - 0s 99us/sample - loss: 0.0320 - accuracy: 0.0080\n",
-      "Epoch 82/100\n",
-      "500/500 [==============================] - 0s 99us/sample - loss: 0.0321 - accuracy: 0.0080\n",
-      "Epoch 83/100\n",
-      "500/500 [==============================] - 0s 94us/sample - loss: 0.0332 - accuracy: 0.0060\n",
-      "Epoch 84/100\n",
-      "500/500 [==============================] - 0s 106us/sample - loss: 0.0317 - accuracy: 0.0060\n",
-      "Epoch 85/100\n",
-      "500/500 [==============================] - 0s 103us/sample - loss: 0.0293 - accuracy: 0.0080\n",
-      "Epoch 86/100\n",
-      "500/500 [==============================] - 0s 107us/sample - loss: 0.0304 - accuracy: 0.0060\n",
-      "Epoch 87/100\n",
-      "500/500 [==============================] - 0s 101us/sample - loss: 0.0327 - accuracy: 0.0040\n",
-      "Epoch 88/100\n",
-      "500/500 [==============================] - 0s 100us/sample - loss: 0.0290 - accuracy: 0.0080\n",
-      "Epoch 89/100\n",
-      "500/500 [==============================] - 0s 123us/sample - loss: 0.0293 - accuracy: 0.0060\n",
-      "Epoch 90/100\n",
-      "500/500 [==============================] - 0s 104us/sample - loss: 0.0246 - accuracy: 0.0060\n",
-      "Epoch 91/100\n",
-      "500/500 [==============================] - 0s 124us/sample - loss: 0.0303 - accuracy: 0.0060\n",
-      "Epoch 92/100\n",
-      "500/500 [==============================] - 0s 129us/sample - loss: 0.0376 - accuracy: 0.0080\n",
-      "Epoch 93/100\n",
-      "500/500 [==============================] - 0s 122us/sample - loss: 0.0264 - accuracy: 0.0080\n",
-      "Epoch 94/100\n",
-      "500/500 [==============================] - 0s 102us/sample - loss: 0.0265 - accuracy: 0.0080\n",
-      "Epoch 95/100\n",
-      "500/500 [==============================] - 0s 108us/sample - loss: 0.0291 - accuracy: 0.0080\n",
-      "Epoch 96/100\n",
-      "500/500 [==============================] - 0s 101us/sample - loss: 0.0314 - accuracy: 0.0080\n",
-      "Epoch 97/100\n",
-      "500/500 [==============================] - 0s 95us/sample - loss: 0.0257 - accuracy: 0.0060\n",
-      "Epoch 98/100\n",
-      "500/500 [==============================] - 0s 100us/sample - loss: 0.0248 - accuracy: 0.0080\n",
-      "Epoch 99/100\n",
-      "500/500 [==============================] - 0s 94us/sample - loss: 0.0250 - accuracy: 0.0040\n",
-      "Epoch 100/100\n",
-      "500/500 [==============================] - 0s 106us/sample - loss: 0.0312 - accuracy: 0.0060\n"
-     ]
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<tensorflow.python.keras.callbacks.History at 0x7f55a3853f60>"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#model.fit(data_input_train, data_labels_train, validation_data=(data_input_test, data_labels_test), epochs=100)\n",
-    "model.fit(data_input_train, data_labels_train, epochs=100)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "100/100 - 0s - loss: 0.0470 - accuracy: 0.0100\n",
-      "\n",
-      "Test accuracy: 0.01\n"
-     ]
-    }
-   ],
-   "source": [
-    "test_loss, test_acc = model.evaluate(data_input_test,  data_labels_test, verbose=2)\n",
-    "\n",
-    "print('\\nTest accuracy:', test_acc)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "[[0.3141548]]\n"
-     ]
-    }
-   ],
-   "source": [
-    "input = np.array([0.46,2,136])\n",
-    "input.shape = (1,3)\n",
-    "\n",
-    "prediction = model.predict(input)\n",
-    "print(prediction)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "predictions = model.predict(data_input_test)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib qt \n",
-    "plt.plot(predictions)\n",
-    "plt.plot(data_labels_test, 'r')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 204,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib qt\n",
-    "a = data_labels_test - predictions\n",
-    "plt.plot(a[0])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 207,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib qt\n",
-    "a = data_labels_test - predictions\n",
-    "plt.plot(predictions)\n",
-    "plt.plot(data_labels_test, 'r')\n",
-    "plt.plot(a[0], 'g')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 180,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "-0.08489150602276586"
-      ]
-     },
-     "execution_count": 180,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "np.average(a[0])"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 182,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Model: \"sequential_13\"\n",
-      "_________________________________________________________________\n",
-      "Layer (type)                 Output Shape              Param #   \n",
-      "=================================================================\n",
-      "dense_38 (Dense)             (None, 128)               512       \n",
-      "_________________________________________________________________\n",
-      "dense_39 (Dense)             (None, 512)               66048     \n",
-      "_________________________________________________________________\n",
-      "dense_40 (Dense)             (None, 512)               262656    \n",
-      "_________________________________________________________________\n",
-      "dense_41 (Dense)             (None, 512)               262656    \n",
-      "_________________________________________________________________\n",
-      "dense_42 (Dense)             (None, 128)               65664     \n",
-      "_________________________________________________________________\n",
-      "dense_43 (Dense)             (None, 1)                 129       \n",
-      "=================================================================\n",
-      "Total params: 657,665\n",
-      "Trainable params: 657,665\n",
-      "Non-trainable params: 0\n",
-      "_________________________________________________________________\n"
-     ]
-    }
-   ],
-   "source": [
-    "model.summary()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 183,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "model.save('my_model.h5')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
deleted file mode 100644
index 2c0934c..0000000
--- a/static/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentiment analysis of Guardian World News articles"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Get articles from a website"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install rss parser dependency"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install feedparser"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parsing RSS feed for world news"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import feedparser\n",
-    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
-    "feed = feedparser.parse(feed_url)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re\n",
-    "for item in feed.entries:\n",
-    "    # sanitize html\n",
-    "    item.description = re.sub('<[^<]+?>', '', item.description)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Vader Sentiment library and perform sentiment analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install vaderSentiment"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "analyser = SentimentIntensityAnalyzer()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sentiment_results = []\n",
-    "for item in feed.entries:\n",
-    "    sentiment_title = analyser.polarity_scores(item.title)\n",
-    "    sentiment_description = analyser.polarity_scores(item.description)\n",
-    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Matplotlib and visualize compound score"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install matplotlib"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "plt.rcParams['figure.figsize'] = (15, 3)\n",
-    "plt.plot(sentiment_results, drawstyle='steps')\n",
-    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
-    "plt.legend(['title', 'description'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/static/sentiment-analysis/guardian-sa-title-desc-relationship.png b/static/sentiment-analysis/guardian-sa-title-desc-relationship.png
deleted file mode 100644
index 7195bbf..0000000
Binary files a/static/sentiment-analysis/guardian-sa-title-desc-relationship.png and /dev/null differ
diff --git a/static/sentiment-analysis/sentiment-analysis.ipynb b/static/sentiment-analysis/sentiment-analysis.ipynb
deleted file mode 100644
index 2c0934c..0000000
--- a/static/sentiment-analysis/sentiment-analysis.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Sentiment analysis of Guardian World News articles"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Get articles from a website"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install rss parser dependency"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install feedparser"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Parsing RSS feed for world news"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import feedparser\n",
-    "feed_url = \"https://www.theguardian.com/world/rss\"\n",
-    "feed = feedparser.parse(feed_url)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import re\n",
-    "for item in feed.entries:\n",
-    "    # sanitize html\n",
-    "    item.description = re.sub('<[^<]+?>', '', item.description)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Vader Sentiment library and perform sentiment analysis"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install vaderSentiment"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
-    "analyser = SentimentIntensityAnalyzer()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "sentiment_results = []\n",
-    "for item in feed.entries:\n",
-    "    sentiment_title = analyser.polarity_scores(item.title)\n",
-    "    sentiment_description = analyser.polarity_scores(item.description)\n",
-    "    sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Install Matplotlib and visualize compound score"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "!pip3 install matplotlib"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import matplotlib.pyplot as plt"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "plt.rcParams['figure.figsize'] = (15, 3)\n",
-    "plt.plot(sentiment_results, drawstyle='steps')\n",
-    "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
-    "plt.legend(['title', 'description'])\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "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": "3.7.3"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/static/simple-pubsub-server/caniuse.png b/static/simple-pubsub-server/caniuse.png
deleted file mode 100644
index 90f7883..0000000
Binary files a/static/simple-pubsub-server/caniuse.png and /dev/null differ
diff --git a/static/simple-pubsub-server/chrome-debugging.png b/static/simple-pubsub-server/chrome-debugging.png
deleted file mode 100644
index 1bdc448..0000000
Binary files a/static/simple-pubsub-server/chrome-debugging.png and /dev/null differ
diff --git a/static/simple-pubsub-server/clients.m4v b/static/simple-pubsub-server/clients.m4v
deleted file mode 100644
index 1342bc6..0000000
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diff --git a/static/simple-pubsub-server/pubsub-overview.png b/static/simple-pubsub-server/pubsub-overview.png
deleted file mode 100644
index 0279ec3..0000000
Binary files a/static/simple-pubsub-server/pubsub-overview.png and /dev/null differ
diff --git a/static/simple-pubsub-server/sse-pubsub-server.zip b/static/simple-pubsub-server/sse-pubsub-server.zip
deleted file mode 100644
index 898b290..0000000
Binary files a/static/simple-pubsub-server/sse-pubsub-server.zip and /dev/null differ
diff --git a/static/wap/emulator.mp4 b/static/wap/emulator.mp4
deleted file mode 100644
index e4f59aa..0000000
Binary files a/static/wap/emulator.mp4 and /dev/null differ
diff --git a/static/wap/phones.gif b/static/wap/phones.gif
deleted file mode 100644
index 15f99e2..0000000
Binary files a/static/wap/phones.gif and /dev/null differ
diff --git a/static/world-clock/enclosure.stl b/static/world-clock/enclosure.stl
deleted file mode 100644
index 99f3d1a..0000000
Binary files a/static/world-clock/enclosure.stl and /dev/null differ
diff --git a/static/world-clock/hardware.jpg b/static/world-clock/hardware.jpg
deleted file mode 100644
index 315a04d..0000000
Binary files a/static/world-clock/hardware.jpg and /dev/null differ
diff --git a/static/world-clock/world-clock.jpg b/static/world-clock/world-clock.jpg
deleted file mode 100644
index afdb6e2..0000000
Binary files a/static/world-clock/world-clock.jpg and /dev/null differ
diff --git a/static/yapyap/hello.png b/static/yapyap/hello.png
deleted file mode 100644
index d141cd3..0000000
Binary files a/static/yapyap/hello.png and /dev/null differ
diff --git a/static/yapyap/pid1.jpg b/static/yapyap/pid1.jpg
deleted file mode 100644
index 99bc1d8..0000000
Binary files a/static/yapyap/pid1.jpg and /dev/null differ
diff --git a/themes/simple/layouts/partials/footer.html b/themes/simple/layouts/partials/footer.html
index 3d1e481..8881f46 100644
--- a/themes/simple/layouts/partials/footer.html
+++ b/themes/simple/layouts/partials/footer.html
@@ -1,7 +1,9 @@
-<footer class="container-blog px-6 md:p-0 text-gray-400 text-sm mb-12">
-  This website does not track you.
-  Content is made available under the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer" class="underline hover:text-gray-800">CC BY 4.0 license</a> unless specified otherwise.
-  Blog feed is available as <a href="/index.xml" target="_blank" class="underline hover:text-gray-800">RSS</a> feed.
+<footer class="container-blog px-6 md:p-0 text-gray-400 text-sm">
+  <p class="pb-12">
+    This website does not track you.
+    Content is made available under the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noreferrer" class="underline hover:text-gray-800">CC BY 4.0 license</a> unless specified otherwise.
+    Blog feed is available as <a href="/index.xml" target="_blank" class="underline hover:text-gray-800">RSS</a> feed.
+  </p>
 </footer>
 
 <!-- katex math library -->
diff --git a/themes/simple/layouts/partials/head.html b/themes/simple/layouts/partials/head.html
index fc79650..28e4466 100644
--- a/themes/simple/layouts/partials/head.html
+++ b/themes/simple/layouts/partials/head.html
@@ -2,187 +2,16 @@
 <meta name="theme-color" content="#ffffff">
 <meta name="viewport" content="width=device-width, initial-scale=1.0">
 
-<script src="https://cdn.tailwindcss.com"></script>
 
 <link rel="alternate" type="application/rss+xml" href="/index.xml">
 
 <link
-  href="data:image/x-icon;base64,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"
-  rel="icon" type="image/x-icon" />
+href="data:image/x-icon;base64,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"
+rel="icon" type="image/x-icon" />
 
 <title>{{.Title}}</title>
 <meta name="description" content="{{ .Site.Params.description }}" />
 
+<script src="https://cdn.tailwindcss.com"></script>
 
-<style>
-  .container-blog {
-    max-width: 640px;
-    margin: 0 auto;
-  }
-
-  ::selection {
-    background: rgb(255, 241, 177);
-    color: #000;
-  }
-
-  ::-moz-selection {
-    background: rgb(255, 241, 177);
-    color: #000;
-  }
-
-  article.single img {
-    max-width: 110%;
-    width: 110%;
-    position: relative;
-    left: -5%;
-    margin: 40px auto;
-    display: block;
-    border-radius: 5px;
-  }
-
-  article.single p {
-    display: block;
-    margin-block-start: 1em;
-    margin-block-end: 1em;
-    margin-inline-start: 0px;
-    margin-inline-end: 0px;
-  }
-
-  article.single ol {
-    display: block;
-    list-style-type: decimal;
-    margin-block-start: 1em;
-    margin-block-end: 1em;
-    margin-inline-start: 0px;
-    margin-inline-end: 0px;
-    padding-inline-start: 40px;
-  }
-
-  article.single ol>li>ol {
-    margin-block-start: 0 !important;
-    margin-block-end: 0 !important;
-    padding-inline-start: 20px;
-  }
-
-  article.single ul {
-    display: block;
-    list-style-type: disc;
-    margin-block-start: 1em;
-    margin-block-end: 1em;
-    margin-inline-start: 0px;
-    margin-inline-end: 0px;
-    padding-inline-start: 40px;
-  }
-
-  article.single code {
-    font-family: monospace;
-    background: rgb(255, 241, 177);
-    border-radius: 5px;
-    padding: 2px 8px;
-    font-weight: 500;
-  }
-
-  article.single pre {
-    background: unset;
-    padding: unset;
-
-    overflow-x: auto;
-    background: #f8f8f8 !important;
-    padding: 15px 20px;
-    border-radius: 5px;
-
-    margin-block-start: 40px;
-    margin-block-end: 40px;
-  }
-
-  article.single pre>code {
-    background: unset;
-    padding: unset;
-    font-weight: 400;
-  }
-
-  article.single h2 {
-    font-size: 180%;
-    line-height: 1.2em;
-    font-weight: 700;
-    margin-block-start: 40px;
-    margin-block-end: 20px;
-  }
-
-  article.single h3 {
-    margin-block-start: 30px;
-    margin-block-end: 20px;
-    font-size: 160%;
-    line-height: 1.2em;
-    font-weight: 700;
-  }
-
-  table {
-    width: 100%;
-  }
-
-  table,
-  th,
-  td {
-    border: 1px solid black;
-    text-align: left;
-  }
-
-  th,
-  td {
-    padding: 5px 10px;
-  }
-
-  article.single a {
-    text-decoration: underline;
-  }
-
-  article.single blockquote {
-    margin-left: 40px;
-    position: relative;
-    margin-block-start: 30px;
-    margin-block-end: 30px;
-    margin-right: 0;
-  }
-
-  article.single blockquote:before {
-    content: ' ';
-    background-image: url('/general/alert-light.svg');
-    background-size: 30px 30px;
-    height: 30px;
-    width: 30px;
-    position: absolute;
-    left: -40px;
-    top: 6px;
-  }
-
-  article.single blockquote p {
-    padding-left: 10px;
-  }
-
-  article.single video {
-    max-width: 100%;
-    margin: 30px auto;
-    display: block;
-    border-radius: 5px;
-    background: #f8f8f8 !important;
-  }
-
-  article.single audio {
-    width: 100%;
-    outline: none;
-  }
-
-  article.single .katex-display {
-    margin-block-start: 40px;
-    margin-block-end: 40px;
-  }
-
-  @media only screen and (max-width: 600px) {
-    article img {
-      max-width: 100%;
-      position: initial;
-      margin: 20px auto;
-    }
-  }
-</style>
+{{ partial "tailwind.html" . }}
diff --git a/themes/simple/layouts/partials/tailwind.html b/themes/simple/layouts/partials/tailwind.html
new file mode 100644
index 0000000..078882c
--- /dev/null
+++ b/themes/simple/layouts/partials/tailwind.html
@@ -0,0 +1,106 @@
+<style type="text/tailwindcss">
+  @layer utilities {
+
+    /* Container */
+    .container-blog {
+      max-width: 640px;
+      margin: 0 auto;
+    }
+
+    /* User text selection */
+    ::selection {
+      @apply bg-yellow-100 text-black;
+    }
+
+    ::-moz-selection {
+      @apply bg-yellow-100 text-black;
+    }
+
+    /* Headings */
+    article.single h2 {
+      @apply text-2xl font-bold mb-4 mt-8;
+    }
+
+    article.single h3 {
+      @apply text-xl font-bold mb-4 mt-8;
+    }
+
+    article.single h4 {
+      @apply text-lg font-bold mb-4 mt-8;
+    }
+
+    /* Paragraph */
+    article.single p {
+      @apply mb-5;
+    }
+
+    /* Links */
+    article.single a {
+      @apply underline hover:bg-yellow-200;
+    }
+
+    /* Blockquote */
+    article.single blockquote {
+      background-image: url('/general/alert-light.svg');
+      background-size: 30px 30px;
+      background-repeat: no-repeat;
+      background-position: 0 5px;
+      @apply pl-12 my-8;
+    }
+
+    /* Media: Images, audio, video */
+    article.single img {
+      @apply rounded w-full !bg-gray-50 my-8;
+    }
+
+    article.single video {
+      @apply rounded w-full !bg-gray-50;
+    }
+
+    article.single audio {
+      @apply w-full mb-6;
+    }
+
+    /* Code */
+    article.single code {
+      @apply bg-yellow-200 rounded px-2 py-1 text-xs font-medium;
+    }
+
+    article.single pre {
+      @apply !bg-gray-50 rounded text-xs p-4 mb-6 overflow-x-auto;
+    }
+
+    article.single pre code {
+      background: unset;
+      padding: unset;
+      @apply leading-relaxed;
+    }
+
+    /* Tables */
+    article.single table {
+      @apply w-full border border-black border-collapse mb-4;
+    }
+
+    article.single table tr,
+    article.single table td,
+    article.single table th {
+      @apply px-4 py-2 border text-left;
+    }
+
+    /* Unordered list */
+    article.single ul {
+      @apply list-disc pl-6 md:pl-10 mb-6;
+    }
+
+    /* Ordered list */
+    article.single ol {
+      @apply list-decimal pl-8 md:pl-10;
+    }
+
+    /* Katex */
+    article.single .katex-display {
+      @apply my-10;
+    }
+
+  }
+</style>
-- 
cgit v1.2.3