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-rw-r--r--assets/algae-sava/dji-algae-0.jpgbin145615 -> 0 bytes
-rw-r--r--assets/algae-sava/dji-algae-1.jpgbin154416 -> 0 bytes
-rw-r--r--assets/algae-sava/dji-algae-2.jpgbin114347 -> 0 bytes
-rw-r--r--assets/algae-sava/dji-algae-3.jpgbin128019 -> 0 bytes
-rw-r--r--assets/algae-sava/dji-algae-4.jpgbin217747 -> 0 bytes
-rw-r--r--assets/algae-sava/dji-algae-5.jpgbin264884 -> 0 bytes
-rw-r--r--assets/cv/avatar.gifbin2174 -> 0 bytes
-rw-r--r--assets/dfd-rice/desktop.pngbin329498 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-00.pngbin35695 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-01.pngbin28042 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-02.pngbin21638 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-03.pngbin34698 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-04.pngbin28346 -> 0 bytes
-rw-r--r--assets/dfd-rice/install-05.pngbin13755 -> 0 bytes
-rw-r--r--assets/dfd-rice/installation.svg1554
-rw-r--r--assets/dfd-rice/layout.pngbin9072 -> 0 bytes
-rw-r--r--assets/dfd-rice/layout.svg132
-rw-r--r--assets/dfd-rice/script.pngbin65747 -> 0 bytes
-rw-r--r--assets/dna-sequence/benchmarks.odsbin21911 -> 0 bytes
-rw-r--r--assets/dna-sequence/chart-encoding-speed.pngbin14201 -> 0 bytes
-rw-r--r--assets/dna-sequence/chart-file-sizes.pngbin12391 -> 0 bytes
-rw-r--r--assets/dna-sequence/dna-basics.jpgbin165883 -> 0 bytes
-rw-r--r--assets/dna-sequence/quote.pngbin1068 -> 0 bytes
-rw-r--r--assets/dna-sequence/sample-binary-file.pngbin66417 -> 0 bytes
-rw-r--r--assets/dna-sequence/sample.pngbin65930 -> 0 bytes
-rw-r--r--assets/dna-synthesized/bison/in.txt11
-rw-r--r--assets/dna-synthesized/bison/out.mp3bin960469 -> 0 bytes
-rw-r--r--assets/dna-synthesized/bison/spectogram.pngbin52808 -> 0 bytes
-rwxr-xr-xassets/dna-synthesized/elektron/IMG_0619.jpgbin226025 -> 0 bytes
-rwxr-xr-xassets/dna-synthesized/elektron/IMG_0620.jpgbin242937 -> 0 bytes
-rwxr-xr-xassets/dna-synthesized/elektron/IMG_0622.jpgbin279234 -> 0 bytes
-rwxr-xr-xassets/dna-synthesized/elektron/elektron.mp4bin22478213 -> 0 bytes
-rwxr-xr-xassets/dna-synthesized/elektron/midi-studio.jpgbin63633 -> 0 bytes
-rw-r--r--assets/dna-synthesized/mouse/in.txt9
-rw-r--r--assets/dna-synthesized/mouse/out.mp3bin864547 -> 0 bytes
-rw-r--r--assets/dna-synthesized/mouse/spectogram.pngbin114261 -> 0 bytes
-rw-r--r--assets/dna-synthesized/quote/in.txt8
-rw-r--r--assets/dna-synthesized/quote/out.mp3bin678973 -> 0 bytes
-rw-r--r--assets/dna-synthesized/quote/spectogram.pngbin108863 -> 0 bytes
-rw-r--r--assets/dna-synthesized/symphony-no6-1st-movement.mp3bin11650187 -> 0 bytes
-rw-r--r--assets/dna-synthesized/symphony-no6-1st-movement.pngbin245694 -> 0 bytes
-rw-r--r--assets/dna-synthesized/taurus/in.txt11
-rw-r--r--assets/dna-synthesized/taurus/out.mp3bin1056599 -> 0 bytes
-rw-r--r--assets/dna-synthesized/taurus/spectogram.pngbin109064 -> 0 bytes
-rw-r--r--assets/do-fuse/copy-benchmarks.tsv101
-rw-r--r--assets/do-fuse/fuse-droplets.pngbin42891 -> 0 bytes
-rw-r--r--assets/do-fuse/fuse-spaces.pngbin32450 -> 0 bytes
-rw-r--r--assets/do-fuse/sqlite-benchmarks.tsv1001
-rw-r--r--assets/dropbox-sync/dropbox-spaces.pngbin47661 -> 0 bytes
-rw-r--r--assets/esp8366-micropython/boards.jpgbin98162 -> 0 bytes
-rw-r--r--assets/general/alert-dark.svg99
-rw-r--r--assets/general/alert-light.svg99
-rw-r--r--assets/general/elasticlunr.min.js10
-rw-r--r--assets/general/favicon.icobin15406 -> 0 bytes
-rw-r--r--assets/general/favicon.pngbin4771 -> 0 bytes
-rw-r--r--assets/go-profiling/golang-profiling-cpu.pdfbin16518 -> 0 bytes
-rw-r--r--assets/go-profiling/golang-profiling-mem.pdfbin19221 -> 0 bytes
-rw-r--r--assets/goaccess/goaccess-dash-html.pngbin16129 -> 0 bytes
-rw-r--r--assets/goaccess/goaccess-dash-term.pngbin9188 -> 0 bytes
-rw-r--r--assets/helix-editor/editor.pngbin159442 -> 0 bytes
-rw-r--r--assets/iot-application/iot-app-output.pngbin23767 -> 0 bytes
-rw-r--r--assets/iot-application/iot-rest-example.pngbin33912 -> 0 bytes
-rw-r--r--assets/iot-application/iot-sqlite-db.pngbin199821 -> 0 bytes
-rw-r--r--assets/iot-application/kcachegrind.pngbin88486 -> 0 bytes
-rw-r--r--assets/iot-application/profiling-viewer.pngbin173672 -> 0 bytes
-rw-r--r--assets/iot-application/simple-iot-application-overview.svg2
-rw-r--r--assets/iot-application/simple-iot-application.zipbin6406 -> 0 bytes
-rw-r--r--assets/iot-application/snakeviz.pngbin59601 -> 0 bytes
-rw-r--r--assets/pid1/boxes.mp4bin443830 -> 0 bytes
-rw-r--r--assets/pid1/qemu.log320
-rw-r--r--assets/pid1/unikernels.pngbin48567 -> 0 bytes
-rw-r--r--assets/pid1/unikernels.svg578
-rw-r--r--assets/profile-bind-error/error.jpgbin57047 -> 0 bytes
-rw-r--r--assets/python-profiling/kcachegrind.pngbin88486 -> 0 bytes
-rw-r--r--assets/python-profiling/profiling-viewer.pngbin173672 -> 0 bytes
-rw-r--r--assets/python-profiling/snakeviz.pngbin59601 -> 0 bytes
-rw-r--r--assets/sentiment-analysis/.ipynb_checkpoints/TF Test-checkpoint.ipynb588
-rw-r--r--assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb170
-rw-r--r--assets/sentiment-analysis/guardian-sa-title-desc-relationship.pngbin15404 -> 0 bytes
-rw-r--r--assets/sentiment-analysis/sentiment-analysis.ipynb170
-rw-r--r--assets/simple-pubsub-server/caniuse.pngbin56379 -> 0 bytes
-rw-r--r--assets/simple-pubsub-server/chrome-debugging.pngbin151160 -> 0 bytes
-rw-r--r--assets/simple-pubsub-server/clients.mp4bin692780 -> 0 bytes
-rw-r--r--assets/simple-pubsub-server/pubsub-overview.pngbin18471 -> 0 bytes
-rw-r--r--assets/simple-pubsub-server/sse-pubsub-server.zipbin4158 -> 0 bytes
-rw-r--r--assets/wap/emulator.mp4bin892887 -> 0 bytes
-rw-r--r--assets/wap/phones.gifbin348891 -> 0 bytes
-rw-r--r--assets/world-clock/enclosure.stlbin1884 -> 0 bytes
-rw-r--r--assets/world-clock/hardware.jpgbin82279 -> 0 bytes
-rw-r--r--assets/world-clock/world-clock.jpgbin148673 -> 0 bytes
-rw-r--r--assets/yapyap/hello.pngbin25962 -> 0 bytes
-rw-r--r--assets/yapyap/pid1.jpgbin394011 -> 0 bytes
92 files changed, 0 insertions, 4863 deletions
diff --git a/assets/algae-sava/dji-algae-0.jpg b/assets/algae-sava/dji-algae-0.jpg
deleted file mode 100644
index d444c80..0000000
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diff --git a/assets/algae-sava/dji-algae-1.jpg b/assets/algae-sava/dji-algae-1.jpg
deleted file mode 100644
index 26ee43c..0000000
--- a/assets/algae-sava/dji-algae-1.jpg
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diff --git a/assets/algae-sava/dji-algae-2.jpg b/assets/algae-sava/dji-algae-2.jpg
deleted file mode 100644
index d38f8cd..0000000
--- a/assets/algae-sava/dji-algae-2.jpg
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diff --git a/assets/algae-sava/dji-algae-3.jpg b/assets/algae-sava/dji-algae-3.jpg
deleted file mode 100644
index 9706fa0..0000000
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diff --git a/assets/algae-sava/dji-algae-4.jpg b/assets/algae-sava/dji-algae-4.jpg
deleted file mode 100644
index b0db4a2..0000000
--- a/assets/algae-sava/dji-algae-4.jpg
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diff --git a/assets/algae-sava/dji-algae-5.jpg b/assets/algae-sava/dji-algae-5.jpg
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index f3c1b3b..0000000
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diff --git a/assets/cv/avatar.gif b/assets/cv/avatar.gif
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+++ /dev/null
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diff --git a/assets/dfd-rice/desktop.png b/assets/dfd-rice/desktop.png
deleted file mode 100644
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+++ /dev/null
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diff --git a/assets/dfd-rice/install-00.png b/assets/dfd-rice/install-00.png
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diff --git a/assets/dfd-rice/install-01.png b/assets/dfd-rice/install-01.png
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diff --git a/assets/dfd-rice/install-02.png b/assets/dfd-rice/install-02.png
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diff --git a/assets/dfd-rice/install-03.png b/assets/dfd-rice/install-03.png
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diff --git a/assets/dfd-rice/install-04.png b/assets/dfd-rice/install-04.png
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diff --git a/assets/dfd-rice/install-05.png b/assets/dfd-rice/install-05.png
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diff --git a/assets/dfd-rice/installation.svg b/assets/dfd-rice/installation.svg
deleted file mode 100644
index 200b71b..0000000
--- a/assets/dfd-rice/installation.svg
+++ /dev/null
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diff --git a/assets/dna-sequence/quote.png b/assets/dna-sequence/quote.png
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index 09fb01c..0000000
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diff --git a/assets/dna-sequence/sample-binary-file.png b/assets/dna-sequence/sample-binary-file.png
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diff --git a/assets/dna-synthesized/bison/in.txt b/assets/dna-synthesized/bison/in.txt
deleted file mode 100644
index fd1eea6..0000000
--- a/assets/dna-synthesized/bison/in.txt
+++ /dev/null
@@ -1,11 +0,0 @@
1GGTCAGCCCAAATCCGCACCCTCGGTCACCCTGTTTCCGCCCTCCACGGAGGAGCTCACT
2GCCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGTAGCGTGACCGTG
3GCCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACCCGGGCCTCCAAA
4CAGAGCAACAGCAAGTACGCGAAAAGCGGTTACAGCTGCGAGGTCACGCACGAGGGGAGC
5ACCGTGACGAAGACAGTGAAGCCCTCAGCGTGTCAGCCCAAGTCCGCACCCTTGGTCACC
6CTGTTCCCGCCCTCCAAGGAGGAGCTCAGCGCCAACAAGGCCACCCTGGTGTGTCTCATC
7AGCGACTTCTACCCGGGTAGCGTGACCGTGGTCTGGAAGGCAGACGGCAGCACCATCACC
8CGCAACGTGGAGACCACCCGGGCCTCCAAACAGAGCAACAGCAAGTACGCGGCCAGCAGC
9TACCTGAGCCTGACGGGCAGCGACTGGAAATCGAAAGGCAGTTACAGCTGCGAGGTCACG
10CACGAGGGGAGCACCGTGACGAAGACAGTGAAGGTCTCAGAGTGTCAGCCCAAGTCCGCA
11
diff --git a/assets/dna-synthesized/bison/out.mp3 b/assets/dna-synthesized/bison/out.mp3
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index d6408ca..0000000
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index 959902b..0000000
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diff --git a/assets/dna-synthesized/elektron/IMG_0619.jpg b/assets/dna-synthesized/elektron/IMG_0619.jpg
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index ebf60b0..0000000
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diff --git a/assets/dna-synthesized/elektron/IMG_0620.jpg b/assets/dna-synthesized/elektron/IMG_0620.jpg
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index c9aa398..0000000
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diff --git a/assets/dna-synthesized/elektron/IMG_0622.jpg b/assets/dna-synthesized/elektron/IMG_0622.jpg
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index 98acee4..0000000
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diff --git a/assets/dna-synthesized/elektron/elektron.mp4 b/assets/dna-synthesized/elektron/elektron.mp4
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index f8e39b9..0000000
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diff --git a/assets/dna-synthesized/elektron/midi-studio.jpg b/assets/dna-synthesized/elektron/midi-studio.jpg
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index 59075cd..0000000
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diff --git a/assets/dna-synthesized/mouse/in.txt b/assets/dna-synthesized/mouse/in.txt
deleted file mode 100644
index abd34a2..0000000
--- a/assets/dna-synthesized/mouse/in.txt
+++ /dev/null
@@ -1,9 +0,0 @@
1GAATTCTCAGGGCCTGTGATGGTCTATACTGCATGGCATATCAGTGTAGAGAAAATAAAT
2AGACACAAGCTCCAATCCCAAACCCAGAAACTATTAATAACAAACGAAAAATTAGTTCTC
3TCAAATGAAGTCTCCCTGAGGATACAGATCCCATTCAGATGGGCAGGTCTGCAGGCCAAC
4ACAAAATGAACTCAGGGGCCTCTTTGGAGGTCTTAGGTCTCATAATGTTTTGTCAGGCCT
5TTTATCTTTTTTTTTTTTTTTTTTTTTTTTTTTTTTGCTTATTTATCTTAAAACCCACTA
6GCTGTTCTCTCCAGGGTCACACCCTAGCACACTCCGTCTAGGTGCCTTCTTACCATCTCC
7TCTAAGTGAGTGGAGGCTCCCTGTGTATTTCCACACCCTTGTACTTTAAGTATTTTCAAG
8GCAGGGCATATCCTCTCTCACTGAGTCCAGACAAAGCAGCTCAAATAGAAGAACATGTCC
9CACATACAGGCAACAGATTTTGAAGGAGGCCTCCACTCCAGCTGTTAGGGGACCCACATG
diff --git a/assets/dna-synthesized/mouse/out.mp3 b/assets/dna-synthesized/mouse/out.mp3
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index e66e87b..0000000
--- a/assets/dna-synthesized/mouse/out.mp3
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diff --git a/assets/dna-synthesized/mouse/spectogram.png b/assets/dna-synthesized/mouse/spectogram.png
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index 8b7f63f..0000000
--- a/assets/dna-synthesized/mouse/spectogram.png
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diff --git a/assets/dna-synthesized/quote/in.txt b/assets/dna-synthesized/quote/in.txt
deleted file mode 100644
index 81e8eb9..0000000
--- a/assets/dna-synthesized/quote/in.txt
+++ /dev/null
@@ -1,8 +0,0 @@
1GACAGCTTGTGTACAAGTGTGCTTGCTCGCGAGCGGGTACGCGCGTGGGCTAACAAGTGA
2GCCAGCAGGTGAACAAGTGTGCGGACAAGCCAGCAGGTGCGCGGACAAGCTGGCGGGTGA
3ACAAGTGTGCCGGTGAGCCAACAAGCAGACAAGTAAGCAGGTACGCAGGCGAGCTTGTCA
4ACTCACAAGATCGCTTGTGTACAAGTGTGCGGACAAGCCAGCAGGTGCGCGGACAAGTAT
5GCTTGCTGGCGGACAAGCCAGCTTGTAAGCGGACAAGCTTGCGCACAAGCTGGCAGGCCT
6GCCGGCTCGCGTACAAATTCACAAGTAAGTACGCTTGCGTGTACGCGGGTATGTATACTC
7AACCTCACCAAACGGGACAAGATCGCCGGCGGGCTAGTATACAAGAACGCTTGCCAGTAC
8AACC \ No newline at end of file
diff --git a/assets/dna-synthesized/quote/out.mp3 b/assets/dna-synthesized/quote/out.mp3
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index 985871d..0000000
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index c460ffd..0000000
--- a/assets/dna-synthesized/quote/spectogram.png
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diff --git a/assets/dna-synthesized/symphony-no6-1st-movement.mp3 b/assets/dna-synthesized/symphony-no6-1st-movement.mp3
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index 8c5a609..0000000
--- a/assets/dna-synthesized/symphony-no6-1st-movement.mp3
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index 8269f08..0000000
--- a/assets/dna-synthesized/symphony-no6-1st-movement.png
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diff --git a/assets/dna-synthesized/taurus/in.txt b/assets/dna-synthesized/taurus/in.txt
deleted file mode 100644
index 8c5bddb..0000000
--- a/assets/dna-synthesized/taurus/in.txt
+++ /dev/null
@@ -1,11 +0,0 @@
1GGTCAGCCCAAGTCCCCACCCTCGGTCACCCTGTTCCCGCCCTCCAAGGAGGAGCTCAGC
2GCCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGTAGCGTGACCGTG
3GCCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACCCGGGCCTCCAAA
4CAGAGCAACAGCAAGTACGCGGCCAGCAGCTACCTGAGCCTGACGAGCAGCGACTGGAAA
5TCGAAAGGCAGTTACAGCTGCGAGGTCACGCACGAGGGGAGCACCGTGACGAAGACAGTG
6AAGACCTCAGCGTGTCAGCCCAAGTCCCCACCCTCGGTCACCCTGTTCCCGCCCTCCACG
7GAGGAGCTCAACGGCAACAAGGCCACCCTGGTGTGTCTCATCAGCGACTTCTACCCGGGT
8AGCGTGACCGTGGTCTGGAAGGCAGACGGCAGCACCATCACCCGCAACGTGGAGACCACC
9CGGGCCTCCAAACAGAGCAACAGCAAGTACGCGGCCAGCAGCTACCTGAGCCTGACGAGC
10AGCGACTGGAAATCGAAAGGCAGTTACAGCTGCGAGGTCACGCACGAGGGGAGCACCGTG
11ACGAAGACAGTGAAGCCCTCAGAGTGGCCCTGGGCCCCCACCGCCGTCCCCACCCTCGTC
diff --git a/assets/dna-synthesized/taurus/out.mp3 b/assets/dna-synthesized/taurus/out.mp3
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index ea7ae1a..0000000
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diff --git a/assets/dna-synthesized/taurus/spectogram.png b/assets/dna-synthesized/taurus/spectogram.png
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index 3be9b58..0000000
--- a/assets/dna-synthesized/taurus/spectogram.png
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diff --git a/assets/do-fuse/copy-benchmarks.tsv b/assets/do-fuse/copy-benchmarks.tsv
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index c7a7af4..0000000
--- a/assets/do-fuse/copy-benchmarks.tsv
+++ /dev/null
@@ -1,101 +0,0 @@
110KB 100KB 1MB 10MB
20.15 0.187 0.317 0.653
30.158 0.237 0.192 0.659
40.134 0.359 0.236 0.604
50.136 0.292 0.196 0.501
64.411 4.479 4.376 0.649
70.134 0.481 0.265 0.608
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100.152 0.28 0.229 0.512
110.162 0.37 0.315 0.652
120.13 4.735 0.222 5.171
134.29 8.767 0.283 5.076
144.555 4.682 0.318 4.941
154.658 4.691 0.177 9.624
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184.582 4.727 0.234 9.28
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304.616 8.883 0.209 9.334
314.729 4.962 4.366 4.966
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398.847 4.663 8.929 5.271
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494.835 8.944 4.804 9.323
504.599 5.594 8.952 5.299
514.809 4.628 1.567 5.294
528.744 4.771 5.59 5.018
534.71 8.919 4.771 9.257
544.704 4.7 9.003 5.064
554.765 4.605 4.781 5.185
568.866 4.669 4.844 5.392
574.897 8.925 4.786 9.279
584.568 5.168 8.893 5.1
594.679 4.757 5.41 5.232
608.922 4.702 4.7 1.984
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624.707 4.555 8.96 5.245
638.938 4.615 4.89 5.216
644.608 4.621 4.677 9.237
654.58 8.954 4.908 5.194
664.707 4.575 8.968 5.017
678.822 4.781 4.882 9.714
684.674 8.833 4.834 5.02
695.005 4.689 4.762 5.312
704.732 4.799 9.111 5.286
718.894 4.675 4.936 5.185
724.747 8.764 4.739 9.312
734.785 4.749 4.845 5.34
744.656 4.705 9.181 5.256
758.899 4.601 4.739 5.261
764.594 8.813 4.576 9.329
774.585 4.716 8.813 5.343
788.718 4.723 4.819 5.092
794.725 4.757 4.83 5.061
804.737 8.899 4.772 9.488
814.692 4.717 8.831 5.13
828.841 4.951 4.787 5.309
834.66 8.895 4.746 5.228
844.749 4.595 4.833 5.26
854.715 4.615 8.928 9.381
868.849 4.651 4.826 5.289
874.66 8.897 4.802 5.197
884.588 4.844 4.883 9.311
894.753 4.888 9.053 5.072
908.841 4.737 4.75 5.157
914.794 8.976 5.063 5.196
924.544 4.673 9.036 9.335
938.74 4.654 6.377 5.29
944.729 4.752 5.001 5.048
954.654 8.98 4.873 5.544
964.9 4.606 4.723 5.192
978.757 4.802 5.427 9.056
984.859 8.969 4.816 5.3
994.701 4.662 9.002 5.138
1004.943 4.813 4.894 5.15
1018.772 4.721 4.785 9.168
diff --git a/assets/do-fuse/fuse-droplets.png b/assets/do-fuse/fuse-droplets.png
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index d7ce243..0000000
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diff --git a/assets/do-fuse/sqlite-benchmarks.tsv b/assets/do-fuse/sqlite-benchmarks.tsv
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index daa2c21..0000000
--- a/assets/do-fuse/sqlite-benchmarks.tsv
+++ /dev/null
@@ -1,1001 +0,0 @@
1DROPTABLE CREATETABLE INSERTMANY FETCHALL COMMIT
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1480.000255 0.000185 0.002453 0.000293 0.000066
1490.000148 0.000143 0.002169 0.000037 0.000066
1500.000173 0.000141 0.002238 0.000039 0.000085
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1580.000149 0.000144 0.002440 0.000039 0.000065
1590.000148 0.000143 0.003287 0.000041 0.000068
1600.000152 0.000149 0.002555 0.000040 0.000069
1610.000148 0.000141 0.002203 0.000038 0.000065
1620.000147 0.000139 0.002371 0.000052 0.000075
1630.000148 0.000143 0.002201 0.000037 0.000066
1640.000149 0.000140 0.002186 0.000038 0.000062
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1710.000150 0.000142 0.002207 0.000038 0.000066
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1740.000146 0.000178 0.002369 0.000039 0.000060
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1760.000149 0.000143 0.002569 0.000050 0.000070
1770.000149 0.000143 0.002797 0.000040 0.000068
1780.000149 0.000143 0.002720 0.000039 0.000066
1790.000273 0.000154 0.002255 0.000039 0.000066
1800.000147 0.000141 0.002180 0.000037 0.000065
1810.000884 0.000142 0.002164 0.000036 0.000060
1820.000188 0.000143 0.002248 0.000039 0.000062
1830.000148 0.000142 0.002178 0.000038 0.000064
1840.000151 0.000140 0.002705 0.000038 0.000063
1850.000145 0.000144 0.002588 0.000039 0.000064
1860.000147 0.000142 0.002196 0.000037 0.000064
1870.000147 0.000139 0.002169 0.000035 0.000060
1880.000151 0.000894 0.002267 0.000039 0.000061
1890.000152 0.000145 0.002178 0.000038 0.000061
1900.000185 0.000142 0.002148 0.000036 0.000062
1910.000147 0.000141 0.002845 0.000040 0.000065
1920.000159 0.000178 0.002193 0.000039 0.000063
1930.000145 0.000141 0.002571 0.000039 0.000066
1940.000149 0.000141 0.003380 0.000038 0.000065
1950.000200 0.000149 0.002439 0.000039 0.000066
1960.000152 0.000140 0.002193 0.000037 0.000065
1970.000147 0.000139 0.002239 0.000037 0.000066
1980.000200 0.000143 0.002190 0.000039 0.000066
1990.000147 0.000139 0.002243 0.000038 0.000062
2000.000421 0.000144 0.002229 0.000038 0.000062
2010.000147 0.000149 0.002715 0.000038 0.000063
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2090.000149 0.000146 0.002383 0.000040 0.000071
2100.000147 0.000139 0.002485 0.000038 0.000065
2110.000147 0.000143 0.002811 0.000039 0.000098
2120.000181 0.000142 0.002503 0.000039 0.000066
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2200.000152 0.000141 0.002203 0.000038 0.000066
2210.000151 0.000139 0.002234 0.000038 0.000087
2220.000148 0.000140 0.002152 0.000036 0.000060
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2260.000148 0.000145 0.002519 0.000039 0.000066
2270.000147 0.000143 0.002188 0.000038 0.000066
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2290.000150 0.000182 0.002185 0.000038 0.000068
2300.000191 0.000154 0.002172 0.000037 0.000061
2310.000145 0.000140 0.002253 0.000043 0.000065
2320.000147 0.000139 0.002673 0.000038 0.000066
2330.000191 0.000144 0.002740 0.000038 0.000066
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2520.000142 0.000149 0.002208 0.000132 0.000061
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2620.000150 0.000137 0.002192 0.000037 0.000065
2630.000144 0.000140 0.002271 0.000039 0.000062
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2800.000148 0.000140 0.002249 0.000038 0.000076
2810.000155 0.000144 0.002504 0.000039 0.000067
2820.000166 0.000150 0.002780 0.000040 0.000079
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2900.000148 0.000143 0.002465 0.000039 0.000081
2910.000165 0.000150 0.002228 0.000038 0.000067
2920.000160 0.000142 0.003231 0.000039 0.000066
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3300.000170 0.000149 0.002165 0.000036 0.000062
3310.000144 0.000145 0.002186 0.000037 0.000059
3320.000144 0.000139 0.002520 0.000037 0.000065
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3350.000168 0.000144 0.002217 0.000048 0.000066
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diff --git a/assets/general/elasticlunr.min.js b/assets/general/elasticlunr.min.js
deleted file mode 100644
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1/**
2 * elasticlunr - http://weixsong.github.io
3 * Lightweight full-text search engine in Javascript for browser search and offline search. - 0.9.5
4 *
5 * Copyright (C) 2017 Oliver Nightingale
6 * Copyright (C) 2017 Wei Song
7 * MIT Licensed
8 * @license
9 */
10!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" 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u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var 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n=[e];1==o&&(n=this.index[t].expandToken(e));var r={};n.forEach(function(n){var o=this.index[t].getDocs(n),a=this.idf(n,t);if(s&&"AND"==i){var l={};for(var c in s)c in o&&(l[c]=o[c]);o=l}n==e&&this.fieldSearchStats(u,n,o);for(var c in o){var d=this.index[t].getTermFrequency(n,c),f=this.documentStore.getFieldLength(c,t),h=1;0!=f&&(h=1/Math.sqrt(f));var p=1;n!=e&&(p=.15*(1-(n.length-e.length)/n.length));var v=d*a*h*p;c in r?r[c]+=v:r[c]=v}},this),s=this.mergeScores(s,r,i)},this),s=this.coordNorm(s,u,e.length)):void 0},t.Index.prototype.mergeScores=function(e,t,n){if(!e)return t;if("AND"==n){var i={};for(var o in t)o in e&&(i[o]=e[o]+t[o]);return i}for(var o in t)o in e?e[o]+=t[o]:e[o]=t[o];return e},t.Index.prototype.fieldSearchStats=function(e,t,n){for(var i in n)i in e?e[i].push(t):e[i]=[t]},t.Index.prototype.coordNorm=function(e,t,n){for(var i in e)if(i in t){var o=t[i].length;e[i]=e[i]*o/n}return e},t.Index.prototype.toJSON=function(){var e={};return 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this.docInfo[e],this.length--)},t.DocumentStore.prototype.addFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&(this.docInfo[e]||(this.docInfo[e]={}),this.docInfo[e][t]=n)},t.DocumentStore.prototype.updateFieldLength=function(e,t,n){null!==e&&void 0!==e&&0!=this.hasDoc(e)&&this.addFieldLength(e,t,n)},t.DocumentStore.prototype.getFieldLength=function(e,t){return null===e||void 0===e?0:e in this.docs&&t in this.docInfo[e]?this.docInfo[e][t]:0},t.DocumentStore.prototype.toJSON=function(){return{docs:this.docs,docInfo:this.docInfo,length:this.length,save:this._save}},t.stemmer=function(){var e={ational:"ate",tional:"tion",enci:"ence",anci:"ance",izer:"ize",bli:"ble",alli:"al",entli:"ent",eli:"e",ousli:"ous",ization:"ize",ation:"ate",ator:"ate",alism:"al",iveness:"ive",fulness:"ful",ousness:"ous",aliti:"al",iviti:"ive",biliti:"ble",logi:"log"},t={icate:"ic",ative:"",alize:"al",iciti:"ic",ical:"ic",ful:"",ness:""},n="[^aeiou]",i="[aeiouy]",o=n+"[^aeiouy]*",r=i+"[aeiou]*",s="^("+o+")?"+r+o,u="^("+o+")?"+r+o+"("+r+")?$",a="^("+o+")?"+r+o+r+o,l="^("+o+")?"+i,c=new RegExp(s),d=new RegExp(a),f=new RegExp(u),h=new RegExp(l),p=/^(.+?)(ss|i)es$/,v=/^(.+?)([^s])s$/,g=/^(.+?)eed$/,m=/^(.+?)(ed|ing)$/,y=/.$/,S=/(at|bl|iz)$/,x=new RegExp("([^aeiouylsz])\\1$"),w=new RegExp("^"+o+i+"[^aeiouwxy]$"),I=/^(.+?[^aeiou])y$/,b=/^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/,E=/^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/,D=/^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/,F=/^(.+?)(s|t)(ion)$/,_=/^(.+?)e$/,P=/ll$/,k=new RegExp("^"+o+i+"[^aeiouwxy]$"),z=function(n){var i,o,r,s,u,a,l;if(n.length<3)return n;if(r=n.substr(0,1),"y"==r&&(n=r.toUpperCase()+n.substr(1)),s=p,u=v,s.test(n)?n=n.replace(s,"$1$2"):u.test(n)&&(n=n.replace(u,"$1$2")),s=g,u=m,s.test(n)){var z=s.exec(n);s=c,s.test(z[1])&&(s=y,n=n.replace(s,""))}else if(u.test(n)){var z=u.exec(n);i=z[1],u=h,u.test(i)&&(n=i,u=S,a=x,l=w,u.test(n)?n+="e":a.test(n)?(s=y,n=n.replace(s,"")):l.test(n)&&(n+="e"))}if(s=I,s.test(n)){var z=s.exec(n);i=z[1],n=i+"i"}if(s=b,s.test(n)){var z=s.exec(n);i=z[1],o=z[2],s=c,s.test(i)&&(n=i+e[o])}if(s=E,s.test(n)){var 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0},t.clearStopWords=function(){t.stopWordFilter.stopWords={}},t.addStopWords=function(e){null!=e&&Array.isArray(e)!==!1&&e.forEach(function(e){t.stopWordFilter.stopWords[e]=!0},this)},t.resetStopWords=function(){t.stopWordFilter.stopWords=t.defaultStopWords},t.defaultStopWords={"":!0,a:!0,able:!0,about:!0,across:!0,after:!0,all:!0,almost:!0,also:!0,am:!0,among:!0,an:!0,and:!0,any:!0,are:!0,as:!0,at:!0,be:!0,because:!0,been:!0,but:!0,by:!0,can:!0,cannot:!0,could:!0,dear:!0,did:!0,"do":!0,does:!0,either:!0,"else":!0,ever:!0,every:!0,"for":!0,from:!0,get:!0,got:!0,had:!0,has:!0,have:!0,he:!0,her:!0,hers:!0,him:!0,his:!0,how:!0,however:!0,i:!0,"if":!0,"in":!0,into:!0,is:!0,it:!0,its:!0,just:!0,least:!0,let:!0,like:!0,likely:!0,may:!0,me:!0,might:!0,most:!0,must:!0,my:!0,neither:!0,no:!0,nor:!0,not:!0,of:!0,off:!0,often:!0,on:!0,only:!0,or:!0,other:!0,our:!0,own:!0,rather:!0,said:!0,say:!0,says:!0,she:!0,should:!0,since:!0,so:!0,some:!0,than:!0,that:!0,the:!0,their:!0,them:!0,then:!0,there:!0,these:!0,they:!0,"this":!0,tis:!0,to:!0,too:!0,twas:!0,us:!0,wants:!0,was:!0,we:!0,were:!0,what:!0,when:!0,where:!0,which:!0,"while":!0,who:!0,whom:!0,why:!0,will:!0,"with":!0,would:!0,yet:!0,you:!0,your:!0},t.stopWordFilter.stopWords=t.defaultStopWords,t.Pipeline.registerFunction(t.stopWordFilter,"stopWordFilter"),t.trimmer=function(e){if(null===e||void 0===e)throw new Error("token should not be undefined");return e.replace(/^\W+/,"").replace(/\W+$/,"")},t.Pipeline.registerFunction(t.trimmer,"trimmer"),t.InvertedIndex=function(){this.root={docs:{},df:0}},t.InvertedIndex.load=function(e){var t=new this;return t.root=e.root,t},t.InvertedIndex.prototype.addToken=function(e,t,n){for(var n=n||this.root,i=0;i<=e.length-1;){var o=e[i];o in n||(n[o]={docs:{},df:0}),i+=1,n=n[o]}var r=t.ref;n.docs[r]?n.docs[r]={tf:t.tf}:(n.docs[r]={tf:t.tf},n.df+=1)},t.InvertedIndex.prototype.hasToken=function(e){if(!e)return!1;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return!1;t=t[e[n]]}return!0},t.InvertedIndex.prototype.getNode=function(e){if(!e)return null;for(var t=this.root,n=0;n<e.length;n++){if(!t[e[n]])return null;t=t[e[n]]}return t},t.InvertedIndex.prototype.getDocs=function(e){var t=this.getNode(e);return null==t?{}:t.docs},t.InvertedIndex.prototype.getTermFrequency=function(e,t){var n=this.getNode(e);return null==n?0:t in n.docs?n.docs[t].tf:0},t.InvertedIndex.prototype.getDocFreq=function(e){var t=this.getNode(e);return null==t?0:t.df},t.InvertedIndex.prototype.removeToken=function(e,t){if(e){var n=this.getNode(e);null!=n&&t in n.docs&&(delete n.docs[t],n.df-=1)}},t.InvertedIndex.prototype.expandToken=function(e,t,n){if(null==e||""==e)return[];var t=t||[];if(void 0==n&&(n=this.getNode(e),null==n))return t;n.df>0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e<arguments.length;e++)t=arguments[e],~this.indexOf(t)||this.elements.splice(this.locationFor(t),0,t);this.length=this.elements.length},lunr.SortedSet.prototype.toArray=function(){return this.elements.slice()},lunr.SortedSet.prototype.map=function(e,t){return this.elements.map(e,t)},lunr.SortedSet.prototype.forEach=function(e,t){return this.elements.forEach(e,t)},lunr.SortedSet.prototype.indexOf=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]<u[i]?n++:s[n]>u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o<r.length;o++)i.add(r[o]);return i},lunr.SortedSet.prototype.toJSON=function(){return this.toArray()},function(e,t){"function"==typeof define&&define.amd?define(t):"object"==typeof exports?module.exports=t():e.elasticlunr=t()}(this,function(){return t})}(); \ No newline at end of file
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diff --git a/assets/helix-editor/editor.png b/assets/helix-editor/editor.png
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diff --git a/assets/iot-application/iot-app-output.png b/assets/iot-application/iot-app-output.png
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diff --git a/assets/iot-application/iot-rest-example.png b/assets/iot-application/iot-rest-example.png
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index 3ed86aa..0000000
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diff --git a/assets/iot-application/iot-sqlite-db.png b/assets/iot-application/iot-sqlite-db.png
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diff --git a/assets/iot-application/kcachegrind.png b/assets/iot-application/kcachegrind.png
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diff --git a/assets/iot-application/profiling-viewer.png b/assets/iot-application/profiling-viewer.png
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diff --git a/assets/iot-application/simple-iot-application-overview.svg b/assets/iot-application/simple-iot-application-overview.svg
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index 817666d..0000000
--- a/assets/iot-application/simple-iot-application-overview.svg
+++ /dev/null
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font-weight: bold;"><div xmlns="http://www.w3.org/1999/xhtml" style="display:inline-block;text-align:inherit;text-decoration:inherit;"><font face="Helvetica">Route: /api</font></div></div></foreignObject><text x="31" y="12" fill="#000000" text-anchor="middle" font-size="12px" font-family="Times New Roman" font-weight="bold">[Not supported by viewer]</text></switch></g></g></svg> \ No newline at end of file
diff --git a/assets/iot-application/simple-iot-application.zip b/assets/iot-application/simple-iot-application.zip
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index 46d3205..0000000
--- a/assets/iot-application/simple-iot-application.zip
+++ /dev/null
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diff --git a/assets/iot-application/snakeviz.png b/assets/iot-application/snakeviz.png
deleted file mode 100644
index 5bab395..0000000
--- a/assets/iot-application/snakeviz.png
+++ /dev/null
Binary files differ
diff --git a/assets/pid1/boxes.mp4 b/assets/pid1/boxes.mp4
deleted file mode 100644
index eb647ff..0000000
--- a/assets/pid1/boxes.mp4
+++ /dev/null
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diff --git a/assets/pid1/qemu.log b/assets/pid1/qemu.log
deleted file mode 100644
index 11be312..0000000
--- a/assets/pid1/qemu.log
+++ /dev/null
@@ -1,320 +0,0 @@
1[ 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
2[ 0.000000] Command line: console=ttyS0
3[ 0.000000] x86/fpu: x87 FPU will use FXSAVE
4[ 0.000000] signal: max sigframe size: 1440
5[ 0.000000] BIOS-provided physical RAM map:
6[ 0.000000] BIOS-e820: [mem 0x0000000000000000-0x000000000009fbff] usable
7[ 0.000000] BIOS-e820: [mem 0x000000000009fc00-0x000000000009ffff] reserved
8[ 0.000000] BIOS-e820: [mem 0x00000000000f0000-0x00000000000fffff] reserved
9[ 0.000000] BIOS-e820: [mem 0x0000000000100000-0x0000000007fdffff] usable
10[ 0.000000] BIOS-e820: [mem 0x0000000007fe0000-0x0000000007ffffff] reserved
11[ 0.000000] BIOS-e820: [mem 0x00000000fffc0000-0x00000000ffffffff] reserved
12[ 0.000000] NX (Execute Disable) protection: active
13[ 0.000000] SMBIOS 2.8 present.
14[ 0.000000] DMI: QEMU Standard PC (i440FX + PIIX, 1996), BIOS 1.14.0-6.fc35 04/01/2014
15[ 0.000000] tsc: Fast TSC calibration failed
16[ 0.000000] last_pfn = 0x7fe0 max_arch_pfn = 0x400000000
17[ 0.000000] x86/PAT: Configuration [0-7]: WB WC UC- UC WB WP UC- WT
18[ 0.000000] found SMP MP-table at [mem 0x000f5c40-0x000f5c4f]
19[ 0.000000] RAMDISK: [mem 0x07e06000-0x07fdffff]
20[ 0.000000] ACPI: Early table checksum verification disabled
21[ 0.000000] ACPI: RSDP 0x00000000000F5A80 000014 (v00 BOCHS )
22[ 0.000000] ACPI: RSDT 0x0000000007FE1905 000034 (v01 BOCHS BXPC 00000001 BXPC 00000001)
23[ 0.000000] ACPI: FACP 0x0000000007FE17B9 000074 (v01 BOCHS BXPC 00000001 BXPC 00000001)
24[ 0.000000] ACPI: DSDT 0x0000000007FE0040 001779 (v01 BOCHS BXPC 00000001 BXPC 00000001)
25[ 0.000000] ACPI: FACS 0x0000000007FE0000 000040
26[ 0.000000] ACPI: APIC 0x0000000007FE182D 000078 (v01 BOCHS BXPC 00000001 BXPC 00000001)
27[ 0.000000] ACPI: HPET 0x0000000007FE18A5 000038 (v01 BOCHS BXPC 00000001 BXPC 00000001)
28[ 0.000000] ACPI: WAET 0x0000000007FE18DD 000028 (v01 BOCHS BXPC 00000001 BXPC 00000001)
29[ 0.000000] ACPI: Reserving FACP table memory at [mem 0x7fe17b9-0x7fe182c]
30[ 0.000000] ACPI: Reserving DSDT table memory at [mem 0x7fe0040-0x7fe17b8]
31[ 0.000000] ACPI: Reserving FACS table memory at [mem 0x7fe0000-0x7fe003f]
32[ 0.000000] ACPI: Reserving APIC table memory at [mem 0x7fe182d-0x7fe18a4]
33[ 0.000000] ACPI: Reserving HPET table memory at [mem 0x7fe18a5-0x7fe18dc]
34[ 0.000000] ACPI: Reserving WAET table memory at [mem 0x7fe18dd-0x7fe1904]
35[ 0.000000] No NUMA configuration found
36[ 0.000000] Faking a node at [mem 0x0000000000000000-0x0000000007fdffff]
37[ 0.000000] NODE_DATA(0) allocated [mem 0x07e02000-0x07e05fff]
38[ 0.000000] Zone ranges:
39[ 0.000000] DMA [mem 0x0000000000001000-0x0000000000ffffff]
40[ 0.000000] DMA32 [mem 0x0000000001000000-0x0000000007fdffff]
41[ 0.000000] Normal empty
42[ 0.000000] Movable zone start for each node
43[ 0.000000] Early memory node ranges
44[ 0.000000] node 0: [mem 0x0000000000001000-0x000000000009efff]
45[ 0.000000] node 0: [mem 0x0000000000100000-0x0000000007fdffff]
46[ 0.000000] Initmem setup node 0 [mem 0x0000000000001000-0x0000000007fdffff]
47[ 0.000000] On node 0, zone DMA: 1 pages in unavailable ranges
48[ 0.000000] On node 0, zone DMA: 97 pages in unavailable ranges
49[ 0.000000] On node 0, zone DMA32: 32 pages in unavailable ranges
50[ 0.000000] ACPI: PM-Timer IO Port: 0x608
51[ 0.000000] ACPI: LAPIC_NMI (acpi_id[0xff] dfl dfl lint[0x1])
52[ 0.000000] IOAPIC[0]: apic_id 0, version 32, address 0xfec00000, GSI 0-23
53[ 0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 0 global_irq 2 dfl dfl)
54[ 0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 5 global_irq 5 high level)
55[ 0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 9 global_irq 9 high level)
56[ 0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 10 global_irq 10 high level)
57[ 0.000000] ACPI: INT_SRC_OVR (bus 0 bus_irq 11 global_irq 11 high level)
58[ 0.000000] ACPI: Using ACPI (MADT) for SMP configuration information
59[ 0.000000] ACPI: HPET id: 0x8086a201 base: 0xfed00000
60[ 0.000000] smpboot: Allowing 1 CPUs, 0 hotplug CPUs
61[ 0.000000] PM: hibernation: Registered nosave memory: [mem 0x00000000-0x00000fff]
62[ 0.000000] PM: hibernation: Registered nosave memory: [mem 0x0009f000-0x0009ffff]
63[ 0.000000] PM: hibernation: Registered nosave memory: [mem 0x000a0000-0x000effff]
64[ 0.000000] PM: hibernation: Registered nosave memory: [mem 0x000f0000-0x000fffff]
65[ 0.000000] [mem 0x08000000-0xfffbffff] available for PCI devices
66[ 0.000000] clocksource: refined-jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1910969940391419 ns
67[ 0.000000] setup_percpu: NR_CPUS:64 nr_cpumask_bits:64 nr_cpu_ids:1 nr_node_ids:1
68[ 0.000000] percpu: Embedded 52 pages/cpu s174360 r8192 d30440 u2097152
69[ 0.000000] Built 1 zonelists, mobility grouping on. Total pages: 31968
70[ 0.000000] Policy zone: DMA32
71[ 0.000000] Kernel command line: console=ttyS0
72[ 0.000000] Dentry cache hash table entries: 16384 (order: 5, 131072 bytes, linear)
73[ 0.000000] Inode-cache hash table entries: 8192 (order: 4, 65536 bytes, linear)
74[ 0.000000] mem auto-init: stack:off, heap alloc:off, heap free:off
75[ 0.000000] Memory: 94464K/130552K available (14350K kernel code, 2582K rwdata, 3596K rodata, 1368K init, 1488K bss, 35828K reserved, 0K cma-reserved)
76[ 0.000000] SLUB: HWalign=64, Order=0-3, MinObjects=0, CPUs=1, Nodes=1
77[ 0.000000] rcu: Hierarchical RCU implementation.
78[ 0.000000] rcu: RCU event tracing is enabled.
79[ 0.000000] rcu: RCU restricting CPUs from NR_CPUS=64 to nr_cpu_ids=1.
80[ 0.000000] rcu: RCU calculated value of scheduler-enlistment delay is 100 jiffies.
81[ 0.000000] rcu: Adjusting geometry for rcu_fanout_leaf=16, nr_cpu_ids=1
82[ 0.000000] NR_IRQS: 4352, nr_irqs: 256, preallocated irqs: 16
83[ 0.000000] random: get_random_bytes called from start_kernel+0x492/0x65f with crng_init=0
84[ 0.000000] Console: colour VGA+ 80x25
85[ 0.000000] printk: console [ttyS0] enabled
86[ 0.000000] ACPI: Core revision 20210730
87[ 0.000000] clocksource: hpet: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 19112604467 ns
88[ 0.002000] APIC: Switch to symmetric I/O mode setup
89[ 0.005000] ..TIMER: vector=0x30 apic1=0 pin1=2 apic2=-1 pin2=-1
90[ 0.013000] tsc: Unable to calibrate against PIT
91[ 0.014000] tsc: using HPET reference calibration
92[ 0.014000] tsc: Detected 3189.099 MHz processor
93[ 0.001005] clocksource: tsc-early: mask: 0xffffffffffffffff max_cycles: 0x2df8103a89b, max_idle_ns: 440795220785 ns
94[ 0.002672] Calibrating delay loop (skipped), value calculated using timer frequency.. 6378.19 BogoMIPS (lpj=3189099)
95[ 0.002960] pid_max: default: 32768 minimum: 301
96[ 0.003627] LSM: Security Framework initializing
97[ 0.004329] SELinux: Initializing.
98[ 0.005051] Mount-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
99[ 0.005202] Mountpoint-cache hash table entries: 512 (order: 0, 4096 bytes, linear)
100[ 0.020479] process: using AMD E400 aware idle routine
101[ 0.020699] Last level iTLB entries: 4KB 512, 2MB 255, 4MB 127
102[ 0.020832] Last level dTLB entries: 4KB 512, 2MB 255, 4MB 127, 1GB 0
103[ 0.021165] Spectre V1 : Mitigation: usercopy/swapgs barriers and __user pointer sanitization
104[ 0.021438] Spectre V2 : Mitigation: Full AMD retpoline
105[ 0.021586] Spectre V2 : Spectre v2 / SpectreRSB mitigation: Filling RSB on context switch
106[ 0.238228] Freeing SMP alternatives memory: 44K
107[ 0.242641] random: fast init done
108[ 0.350203] smpboot: CPU0: AMD QEMU Virtual CPU version 2.5+ (family: 0xf, model: 0x6b, stepping: 0x1)
109[ 0.355136] Performance Events: PMU not available due to virtualization, using software events only.
110[ 0.356607] rcu: Hierarchical SRCU implementation.
111[ 0.360890] smp: Bringing up secondary CPUs ...
112[ 0.361082] smp: Brought up 1 node, 1 CPU
113[ 0.361253] smpboot: Max logical packages: 1
114[ 0.361394] smpboot: Total of 1 processors activated (6378.19 BogoMIPS)
115[ 0.371481] devtmpfs: initialized
116[ 0.378162] clocksource: jiffies: mask: 0xffffffff max_cycles: 0xffffffff, max_idle_ns: 1911260446275000 ns
117[ 0.378478] futex hash table entries: 256 (order: 2, 16384 bytes, linear)
118[ 0.381522] PM: RTC time: 00:19:47, date: 2021-12-27
119[ 0.384915] NET: Registered PF_NETLINK/PF_ROUTE protocol family
120[ 0.387403] audit: initializing netlink subsys (disabled)
121[ 0.391765] audit: type=2000 audit(1640564386.402:1): state=initialized audit_enabled=0 res=1
122[ 0.392916] thermal_sys: Registered thermal governor 'step_wise'
123[ 0.392950] thermal_sys: Registered thermal governor 'user_space'
124[ 0.393202] cpuidle: using governor menu
125[ 0.394085] ACPI: bus type PCI registered
126[ 0.396583] PCI: Using configuration type 1 for base access
127[ 0.415012] Kprobes globally optimized
128[ 0.416844] HugeTLB registered 2.00 MiB page size, pre-allocated 0 pages
129[ 0.420649] cryptomgr_test (20) used greatest stack depth: 15680 bytes left
130[ 0.426071] ACPI: Added _OSI(Module Device)
131[ 0.426182] ACPI: Added _OSI(Processor Device)
132[ 0.426279] ACPI: Added _OSI(3.0 _SCP Extensions)
133[ 0.426376] ACPI: Added _OSI(Processor Aggregator Device)
134[ 0.426606] ACPI: Added _OSI(Linux-Dell-Video)
135[ 0.426709] ACPI: Added _OSI(Linux-Lenovo-NV-HDMI-Audio)
136[ 0.426821] ACPI: Added _OSI(Linux-HPI-Hybrid-Graphics)
137[ 0.439511] ACPI: 1 ACPI AML tables successfully acquired and loaded
138[ 0.452709] ACPI: Interpreter enabled
139[ 0.453468] ACPI: PM: (supports S0 S3 S4 S5)
140[ 0.453603] ACPI: Using IOAPIC for interrupt routing
141[ 0.454022] PCI: Using host bridge windows from ACPI; if necessary, use "pci=nocrs" and report a bug
142[ 0.455266] ACPI: Enabled 2 GPEs in block 00 to 0F
143[ 0.480013] ACPI: PCI Root Bridge [PCI0] (domain 0000 [bus 00-ff])
144[ 0.480702] acpi PNP0A03:00: _OSC: OS supports [ASPM ClockPM Segments MSI HPX-Type3]
145[ 0.481425] acpi PNP0A03:00: fail to add MMCONFIG information, can't access extended PCI configuration space under this bridge.
146[ 0.483666] PCI host bridge to bus 0000:00
147[ 0.483848] pci_bus 0000:00: root bus resource [io 0x0000-0x0cf7 window]
148[ 0.484096] pci_bus 0000:00: root bus resource [io 0x0d00-0xffff window]
149[ 0.484237] pci_bus 0000:00: root bus resource [mem 0x000a0000-0x000bffff window]
150[ 0.484480] pci_bus 0000:00: root bus resource [mem 0x08000000-0xfebfffff window]
151[ 0.484578] pci_bus 0000:00: root bus resource [mem 0x100000000-0x17fffffff window]
152[ 0.484870] pci_bus 0000:00: root bus resource [bus 00-ff]
153[ 0.486588] pci 0000:00:00.0: [8086:1237] type 00 class 0x060000
154[ 0.492625] pci 0000:00:01.0: [8086:7000] type 00 class 0x060100
155[ 0.493621] pci 0000:00:01.1: [8086:7010] type 00 class 0x010180
156[ 0.495015] pci 0000:00:01.1: reg 0x20: [io 0xc040-0xc04f]
157[ 0.495760] pci 0000:00:01.1: legacy IDE quirk: reg 0x10: [io 0x01f0-0x01f7]
158[ 0.495936] pci 0000:00:01.1: legacy IDE quirk: reg 0x14: [io 0x03f6]
159[ 0.496095] pci 0000:00:01.1: legacy IDE quirk: reg 0x18: [io 0x0170-0x0177]
160[ 0.496598] pci 0000:00:01.1: legacy IDE quirk: reg 0x1c: [io 0x0376]
161[ 0.497793] pci 0000:00:01.3: [8086:7113] type 00 class 0x068000
162[ 0.498219] pci 0000:00:01.3: quirk: [io 0x0600-0x063f] claimed by PIIX4 ACPI
163[ 0.498384] pci 0000:00:01.3: quirk: [io 0x0700-0x070f] claimed by PIIX4 SMB
164[ 0.499487] pci 0000:00:02.0: [1234:1111] type 00 class 0x030000
165[ 0.500186] pci 0000:00:02.0: reg 0x10: [mem 0xfd000000-0xfdffffff pref]
166[ 0.500569] pci 0000:00:02.0: reg 0x18: [mem 0xfebf0000-0xfebf0fff]
167[ 0.502569] pci 0000:00:02.0: reg 0x30: [mem 0xfebe0000-0xfebeffff pref]
168[ 0.508052] pci 0000:00:03.0: [8086:100e] type 00 class 0x020000
169[ 0.508590] pci 0000:00:03.0: reg 0x10: [mem 0xfebc0000-0xfebdffff]
170[ 0.509075] pci 0000:00:03.0: reg 0x14: [io 0xc000-0xc03f]
171[ 0.511015] pci 0000:00:03.0: reg 0x30: [mem 0xfeb80000-0xfebbffff pref]
172[ 0.517286] ACPI: PCI: Interrupt link LNKA configured for IRQ 10
173[ 0.518032] ACPI: PCI: Interrupt link LNKB configured for IRQ 10
174[ 0.518504] ACPI: PCI: Interrupt link LNKC configured for IRQ 11
175[ 0.518920] ACPI: PCI: Interrupt link LNKD configured for IRQ 11
176[ 0.519208] ACPI: PCI: Interrupt link LNKS configured for IRQ 9
177[ 0.521412] iommu: Default domain type: Translated
178[ 0.521589] iommu: DMA domain TLB invalidation policy: lazy mode
179[ 0.524448] pci 0000:00:02.0: vgaarb: setting as boot VGA device
180[ 0.524569] pci 0000:00:02.0: vgaarb: VGA device added: decodes=io+mem,owns=io+mem,locks=none
181[ 0.524633] pci 0000:00:02.0: vgaarb: bridge control possible
182[ 0.524846] vgaarb: loaded
183[ 0.526151] SCSI subsystem initialized
184[ 0.528124] ACPI: bus type USB registered
185[ 0.528600] usbcore: registered new interface driver usbfs
186[ 0.528917] usbcore: registered new interface driver hub
187[ 0.529156] usbcore: registered new device driver usb
188[ 0.529593] pps_core: LinuxPPS API ver. 1 registered
189[ 0.529693] pps_core: Software ver. 5.3.6 - Copyright 2005-2007 Rodolfo Giometti <giometti@linux.it>
190[ 0.529916] PTP clock support registered
191[ 0.531428] Advanced Linux Sound Architecture Driver Initialized.
192[ 0.538313] NetLabel: Initializing
193[ 0.538413] NetLabel: domain hash size = 128
194[ 0.538513] NetLabel: protocols = UNLABELED CIPSOv4 CALIPSO
195[ 0.539300] NetLabel: unlabeled traffic allowed by default
196[ 0.540192] PCI: Using ACPI for IRQ routing
197[ 0.541336] hpet: 3 channels of 0 reserved for per-cpu timers
198[ 0.541742] hpet0: at MMIO 0xfed00000, IRQs 2, 8, 0
199[ 0.541934] hpet0: 3 comparators, 64-bit 100.000000 MHz counter
200[ 0.547124] clocksource: Switched to clocksource tsc-early
201[ 0.589778] VFS: Disk quotas dquot_6.6.0
202[ 0.590116] VFS: Dquot-cache hash table entries: 512 (order 0, 4096 bytes)
203[ 0.591999] pnp: PnP ACPI init
204[ 1.348853] pnp: PnP ACPI: found 6 devices
205[ 1.363393] clocksource: acpi_pm: mask: 0xffffff max_cycles: 0xffffff, max_idle_ns: 2085701024 ns
206[ 1.364026] NET: Registered PF_INET protocol family
207[ 1.364871] IP idents hash table entries: 2048 (order: 2, 16384 bytes, linear)
208[ 1.369722] tcp_listen_portaddr_hash hash table entries: 256 (order: 0, 4096 bytes, linear)
209[ 1.369973] TCP established hash table entries: 1024 (order: 1, 8192 bytes, linear)
210[ 1.370241] TCP bind hash table entries: 1024 (order: 2, 16384 bytes, linear)
211[ 1.370483] TCP: Hash tables configured (established 1024 bind 1024)
212[ 1.371348] UDP hash table entries: 256 (order: 1, 8192 bytes, linear)
213[ 1.371835] UDP-Lite hash table entries: 256 (order: 1, 8192 bytes, linear)
214[ 1.373053] NET: Registered PF_UNIX/PF_LOCAL protocol family
215[ 1.374701] RPC: Registered named UNIX socket transport module.
216[ 1.375153] RPC: Registered udp transport module.
217[ 1.375280] RPC: Registered tcp transport module.
218[ 1.375386] RPC: Registered tcp NFSv4.1 backchannel transport module.
219[ 1.377429] pci_bus 0000:00: resource 4 [io 0x0000-0x0cf7 window]
220[ 1.377567] pci_bus 0000:00: resource 5 [io 0x0d00-0xffff window]
221[ 1.377738] pci_bus 0000:00: resource 6 [mem 0x000a0000-0x000bffff window]
222[ 1.377893] pci_bus 0000:00: resource 7 [mem 0x08000000-0xfebfffff window]
223[ 1.378032] pci_bus 0000:00: resource 8 [mem 0x100000000-0x17fffffff window]
224[ 1.378574] pci 0000:00:01.0: PIIX3: Enabling Passive Release
225[ 1.378817] pci 0000:00:00.0: Limiting direct PCI/PCI transfers
226[ 1.378993] pci 0000:00:01.0: Activating ISA DMA hang workarounds
227[ 1.379296] pci 0000:00:02.0: Video device with shadowed ROM at [mem 0x000c0000-0x000dffff]
228[ 1.379537] PCI: CLS 0 bytes, default 64
229[ 1.385473] Unpacking initramfs...
230[ 1.394653] Initialise system trusted keyrings
231[ 1.395898] workingset: timestamp_bits=56 max_order=15 bucket_order=0
232[ 1.400517] Freeing initrd memory: 1896K
233[ 1.409899] NFS: Registering the id_resolver key type
234[ 1.410240] Key type id_resolver registered
235[ 1.410358] Key type id_legacy registered
236[ 1.436299] Key type asymmetric registered
237[ 1.436505] Asymmetric key parser 'x509' registered
238[ 1.436899] Block layer SCSI generic (bsg) driver version 0.4 loaded (major 251)
239[ 1.437334] io scheduler mq-deadline registered
240[ 1.437848] io scheduler kyber registered
241[ 1.440723] input: Power Button as /devices/LNXSYSTM:00/LNXPWRBN:00/input/input0
242[ 1.443386] ACPI: button: Power Button [PWRF]
243[ 1.445654] Serial: 8250/16550 driver, 4 ports, IRQ sharing enabled
244[ 1.447264] 00:04: ttyS0 at I/O 0x3f8 (irq = 4, base_baud = 115200) is a 16550A
245[ 1.450740] Non-volatile memory driver v1.3
246[ 1.451106] Linux agpgart interface v0.103
247[ 1.467087] loop: module loaded
248[ 1.474468] scsi host0: ata_piix
249[ 1.476252] scsi host1: ata_piix
250[ 1.476701] ata1: PATA max MWDMA2 cmd 0x1f0 ctl 0x3f6 bmdma 0xc040 irq 14
251[ 1.476882] ata2: PATA max MWDMA2 cmd 0x170 ctl 0x376 bmdma 0xc048 irq 15
252[ 1.481539] libphy: Fixed MDIO Bus: probed
253[ 1.482188] e100: Intel(R) PRO/100 Network Driver
254[ 1.482313] e100: Copyright(c) 1999-2006 Intel Corporation
255[ 1.482507] e1000: Intel(R) PRO/1000 Network Driver
256[ 1.482702] e1000: Copyright (c) 1999-2006 Intel Corporation.
257[ 1.616439] ACPI: \_SB_.LNKC: Enabled at IRQ 11
258[ 1.649465] ata2.00: ATAPI: QEMU DVD-ROM, 2.5+, max UDMA/100
259[ 1.664135] scsi 1:0:0:0: CD-ROM QEMU QEMU DVD-ROM 2.5+ PQ: 0 ANSI: 5
260[ 1.693021] sr 1:0:0:0: [sr0] scsi3-mmc drive: 4x/4x cd/rw xa/form2 tray
261[ 1.693338] cdrom: Uniform CD-ROM driver Revision: 3.20
262[ 1.723925] sr 1:0:0:0: Attached scsi generic sg0 type 5
263[ 1.946674] e1000 0000:00:03.0 eth0: (PCI:33MHz:32-bit) 52:54:00:12:34:56
264[ 1.947107] e1000 0000:00:03.0 eth0: Intel(R) PRO/1000 Network Connection
265[ 1.947650] e1000e: Intel(R) PRO/1000 Network Driver
266[ 1.947749] e1000e: Copyright(c) 1999 - 2015 Intel Corporation.
267[ 1.947947] sky2: driver version 1.30
268[ 1.948805] ehci_hcd: USB 2.0 'Enhanced' Host Controller (EHCI) Driver
269[ 1.948993] ehci-pci: EHCI PCI platform driver
270[ 1.949218] ohci_hcd: USB 1.1 'Open' Host Controller (OHCI) Driver
271[ 1.949394] ohci-pci: OHCI PCI platform driver
272[ 1.949636] uhci_hcd: USB Universal Host Controller Interface driver
273[ 1.950082] usbcore: registered new interface driver usblp
274[ 1.950302] usbcore: registered new interface driver usb-storage
275[ 1.951012] i8042: PNP: PS/2 Controller [PNP0303:KBD,PNP0f13:MOU] at 0x60,0x64 irq 1,12
276[ 1.954333] serio: i8042 KBD port at 0x60,0x64 irq 1
277[ 1.954634] serio: i8042 AUX port at 0x60,0x64 irq 12
278[ 1.957984] input: AT Translated Set 2 keyboard as /devices/platform/i8042/serio0/input/input1
279[ 1.960071] rtc_cmos 00:05: RTC can wake from S4
280[ 1.964738] rtc_cmos 00:05: registered as rtc0
281[ 1.965357] rtc_cmos 00:05: alarms up to one day, y3k, 242 bytes nvram, hpet irqs
282[ 1.966676] device-mapper: ioctl: 4.45.0-ioctl (2021-03-22) initialised: dm-devel@redhat.com
283[ 1.967364] hid: raw HID events driver (C) Jiri Kosina
284[ 1.968571] usbcore: registered new interface driver usbhid
285[ 1.968750] usbhid: USB HID core driver
286[ 1.974818] Initializing XFRM netlink socket
287[ 1.975673] NET: Registered PF_INET6 protocol family
288[ 1.981212] Segment Routing with IPv6
289[ 1.981421] In-situ OAM (IOAM) with IPv6
290[ 1.982292] sit: IPv6, IPv4 and MPLS over IPv4 tunneling driver
291[ 1.984278] NET: Registered PF_PACKET protocol family
292[ 1.984857] Key type dns_resolver registered
293[ 1.985989] IPI shorthand broadcast: enabled
294[ 1.986261] sched_clock: Marking stable (1999028700, -13430834)->(1985937339, -339473)
295[ 1.987965] registered taskstats version 1
296[ 1.988095] Loading compiled-in X.509 certificates
297[ 1.991283] PM: Magic number: 1:335:305
298[ 1.991523] tty tty34: hash matches
299[ 1.991951] printk: console [netcon0] enabled
300[ 1.992067] netconsole: network logging started
301[ 1.994549] cfg80211: Loading compiled-in X.509 certificates for regulatory database
302[ 2.004972] kworker/u2:2 (64) used greatest stack depth: 14856 bytes left
303[ 2.012521] cfg80211: Loaded X.509 cert 'sforshee: 00b28ddf47aef9cea7'
304[ 2.013924] platform regulatory.0: Direct firmware load for regulatory.db failed with error -2
305[ 2.014318] cfg80211: failed to load regulatory.db
306[ 2.016106] ALSA device list:
307[ 2.016329] No soundcards found.
308[ 2.053176] Freeing unused kernel image (initmem) memory: 1368K
309[ 2.056095] Write protecting the kernel read-only data: 20480k
310[ 2.058248] Freeing unused kernel image (text/rodata gap) memory: 2032K
311[ 2.058811] Freeing unused kernel image (rodata/data gap) memory: 500K
312[ 2.059164] Run /init as init process
313Hello from Golang
314[ 2.386879] tsc: Refined TSC clocksource calibration: 3192.032 MHz
315[ 2.387114] clocksource: tsc: mask: 0xffffffffffffffff max_cycles: 0x2e02e31fa14, max_idle_ns: 440795264947 ns
316[ 2.387380] clocksource: Switched to clocksource tsc
317[ 2.587895] input: ImExPS/2 Generic Explorer Mouse as /devices/platform/i8042/serio1/input/input3
318Hello from Golang
319Hello from Golang
320Hello from Golang
diff --git a/assets/pid1/unikernels.png b/assets/pid1/unikernels.png
deleted file mode 100644
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Binary files differ
diff --git a/assets/pid1/unikernels.svg b/assets/pid1/unikernels.svg
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1{
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": 1,
6 "metadata": {},
7 "outputs": [
8 {
9 "name": "stderr",
10 "output_type": "stream",
11 "text": [
12 "/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",
13 " _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
14 "/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",
15 " _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
16 "/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",
17 " _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
18 "/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",
19 " _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
20 "/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",
21 " _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
22 "/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",
23 " np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
24 ]
25 },
26 {
27 "name": "stdout",
28 "output_type": "stream",
29 "text": [
30 "2.0.0-beta1\n"
31 ]
32 },
33 {
34 "name": "stderr",
35 "output_type": "stream",
36 "text": [
37 "/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",
38 " _np_qint8 = np.dtype([(\"qint8\", np.int8, 1)])\n",
39 "/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",
40 " _np_quint8 = np.dtype([(\"quint8\", np.uint8, 1)])\n",
41 "/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",
42 " _np_qint16 = np.dtype([(\"qint16\", np.int16, 1)])\n",
43 "/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",
44 " _np_quint16 = np.dtype([(\"quint16\", np.uint16, 1)])\n",
45 "/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",
46 " _np_qint32 = np.dtype([(\"qint32\", np.int32, 1)])\n",
47 "/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",
48 " np_resource = np.dtype([(\"resource\", np.ubyte, 1)])\n"
49 ]
50 }
51 ],
52 "source": [
53 "import tensorflow as tf\n",
54 "from tensorflow import keras\n",
55 "\n",
56 "# Helper libraries\n",
57 "import numpy as np\n",
58 "import matplotlib.pyplot as plt\n",
59 "\n",
60 "print(tf.__version__)"
61 ]
62 },
63 {
64 "cell_type": "code",
65 "execution_count": 2,
66 "metadata": {},
67 "outputs": [],
68 "source": [
69 "from numpy import genfromtxt\n",
70 "data = genfromtxt('data.csv', delimiter=',')"
71 ]
72 },
73 {
74 "cell_type": "code",
75 "execution_count": 3,
76 "metadata": {},
77 "outputs": [],
78 "source": [
79 "data_input = data[:,0:3]\n",
80 "data_labels = data[:,3]\n",
81 "\n",
82 "#data_input = np.transpose(data_input)\n",
83 "#data_labels = np.transpose(data_labels)"
84 ]
85 },
86 {
87 "cell_type": "code",
88 "execution_count": 4,
89 "metadata": {},
90 "outputs": [
91 {
92 "name": "stdout",
93 "output_type": "stream",
94 "text": [
95 "(600, 3)\n",
96 "[1.e-01 1.e+00 3.e+02]\n"
97 ]
98 }
99 ],
100 "source": [
101 "print(np.shape(data_input))\n",
102 "print(data_input[2])"
103 ]
104 },
105 {
106 "cell_type": "markdown",
107 "metadata": {},
108 "source": [
109 "print(len(data_input))\n",
110 "print(len(data_labels))"
111 ]
112 },
113 {
114 "cell_type": "code",
115 "execution_count": 5,
116 "metadata": {},
117 "outputs": [
118 {
119 "name": "stdout",
120 "output_type": "stream",
121 "text": [
122 "(500, 3)\n",
123 "(100, 3)\n",
124 "(500,)\n",
125 "(100,)\n"
126 ]
127 }
128 ],
129 "source": [
130 "data_input_train = data_input[0:500,:]\n",
131 "data_input_test = data_input[500:,:]\n",
132 "\n",
133 "data_labels_train = data_labels[0:500]\n",
134 "data_labels_test = data_labels[500:]\n",
135 "\n",
136 "print(np.shape(data_input_train))\n",
137 "print(np.shape(data_input_test))\n",
138 "\n",
139 "print(np.shape(data_labels_train))\n",
140 "print(np.shape(data_labels_test))"
141 ]
142 },
143 {
144 "cell_type": "code",
145 "execution_count": 6,
146 "metadata": {},
147 "outputs": [],
148 "source": [
149 "model = keras.Sequential([\n",
150 " keras.layers.Dense(128, activation='relu', input_shape=[3]),\n",
151 " keras.layers.Dense(512, activation='relu'),\n",
152 " keras.layers.Dense(512, activation='relu'),\n",
153 " keras.layers.Dense(512, activation='relu'),\n",
154 " keras.layers.Dense(128, activation='relu'),\n",
155 " keras.layers.Dense(1)\n",
156 "])"
157 ]
158 },
159 {
160 "cell_type": "code",
161 "execution_count": 7,
162 "metadata": {},
163 "outputs": [],
164 "source": [
165 "optimizer = tf.keras.optimizers.RMSprop(0.001)\n",
166 "model.compile(loss='mse',\n",
167 " optimizer=optimizer,\n",
168 " metrics=['accuracy'])"
169 ]
170 },
171 {
172 "cell_type": "code",
173 "execution_count": 8,
174 "metadata": {},
175 "outputs": [
176 {
177 "name": "stdout",
178 "output_type": "stream",
179 "text": [
180 "Train on 500 samples\n",
181 "Epoch 1/100\n",
182 "500/500 [==============================] - 0s 399us/sample - loss: 247.2794 - accuracy: 0.0040\n",
183 "Epoch 2/100\n",
184 "500/500 [==============================] - 0s 121us/sample - loss: 4.2495 - accuracy: 0.0060\n",
185 "Epoch 3/100\n",
186 "500/500 [==============================] - 0s 131us/sample - loss: 1.8787 - accuracy: 0.0040\n",
187 "Epoch 4/100\n",
188 "500/500 [==============================] - 0s 121us/sample - loss: 0.4284 - accuracy: 0.0060\n",
189 "Epoch 5/100\n",
190 "500/500 [==============================] - 0s 107us/sample - loss: 4.7904 - accuracy: 0.0080\n",
191 "Epoch 6/100\n",
192 "500/500 [==============================] - 0s 113us/sample - loss: 0.0819 - accuracy: 0.0040\n",
193 "Epoch 7/100\n",
194 "500/500 [==============================] - 0s 108us/sample - loss: 1.6904 - accuracy: 0.0040\n",
195 "Epoch 8/100\n",
196 "500/500 [==============================] - 0s 116us/sample - loss: 0.1761 - accuracy: 0.0040\n",
197 "Epoch 9/100\n",
198 "500/500 [==============================] - 0s 142us/sample - loss: 0.1135 - accuracy: 0.0040\n",
199 "Epoch 10/100\n",
200 "500/500 [==============================] - 0s 124us/sample - loss: 0.4387 - accuracy: 0.0040\n",
201 "Epoch 11/100\n",
202 "500/500 [==============================] - 0s 112us/sample - loss: 0.0815 - accuracy: 0.0040\n",
203 "Epoch 12/100\n",
204 "500/500 [==============================] - 0s 117us/sample - loss: 0.1725 - accuracy: 0.0040\n",
205 "Epoch 13/100\n",
206 "500/500 [==============================] - 0s 119us/sample - loss: 0.1487 - accuracy: 0.0040\n",
207 "Epoch 14/100\n",
208 "500/500 [==============================] - 0s 111us/sample - loss: 0.0720 - accuracy: 0.0040\n",
209 "Epoch 15/100\n",
210 "500/500 [==============================] - 0s 111us/sample - loss: 0.3110 - accuracy: 0.0040\n",
211 "Epoch 16/100\n",
212 "500/500 [==============================] - 0s 128us/sample - loss: 0.0947 - accuracy: 0.0040\n",
213 "Epoch 17/100\n",
214 "500/500 [==============================] - 0s 133us/sample - loss: 0.0739 - accuracy: 0.0040\n",
215 "Epoch 18/100\n",
216 "500/500 [==============================] - 0s 131us/sample - loss: 0.1353 - accuracy: 0.0060\n",
217 "Epoch 19/100\n",
218 "500/500 [==============================] - 0s 135us/sample - loss: 0.0837 - accuracy: 0.0040\n",
219 "Epoch 20/100\n",
220 "500/500 [==============================] - 0s 130us/sample - loss: 0.0754 - accuracy: 0.0040\n",
221 "Epoch 21/100\n",
222 "500/500 [==============================] - 0s 118us/sample - loss: 0.0840 - accuracy: 0.0040\n",
223 "Epoch 22/100\n",
224 "500/500 [==============================] - 0s 115us/sample - loss: 0.1105 - accuracy: 0.0040\n",
225 "Epoch 23/100\n",
226 "500/500 [==============================] - 0s 116us/sample - loss: 0.0651 - accuracy: 0.0040\n",
227 "Epoch 24/100\n",
228 "500/500 [==============================] - 0s 109us/sample - loss: 0.0615 - accuracy: 0.0040\n",
229 "Epoch 25/100\n",
230 "500/500 [==============================] - 0s 118us/sample - loss: 0.0656 - accuracy: 0.0040\n",
231 "Epoch 26/100\n",
232 "500/500 [==============================] - 0s 113us/sample - loss: 0.0695 - accuracy: 0.0040\n",
233 "Epoch 27/100\n",
234 "500/500 [==============================] - 0s 116us/sample - loss: 0.0585 - accuracy: 0.0040\n",
235 "Epoch 28/100\n",
236 "500/500 [==============================] - 0s 118us/sample - loss: 0.1300 - accuracy: 0.0040\n",
237 "Epoch 29/100\n",
238 "500/500 [==============================] - 0s 112us/sample - loss: 0.0567 - accuracy: 0.0040\n",
239 "Epoch 30/100\n",
240 "500/500 [==============================] - 0s 137us/sample - loss: 0.0647 - accuracy: 0.0040\n",
241 "Epoch 31/100\n",
242 "500/500 [==============================] - 0s 130us/sample - loss: 0.0559 - accuracy: 0.0040\n",
243 "Epoch 32/100\n",
244 "500/500 [==============================] - 0s 130us/sample - loss: 0.0576 - accuracy: 0.0040\n",
245 "Epoch 33/100\n",
246 "500/500 [==============================] - 0s 128us/sample - loss: 0.0578 - accuracy: 0.0040\n",
247 "Epoch 34/100\n",
248 "500/500 [==============================] - 0s 130us/sample - loss: 0.0512 - accuracy: 0.0040\n",
249 "Epoch 35/100\n",
250 "500/500 [==============================] - 0s 114us/sample - loss: 0.0601 - accuracy: 0.0040\n",
251 "Epoch 36/100\n",
252 "500/500 [==============================] - 0s 111us/sample - loss: 0.0531 - accuracy: 0.0040\n",
253 "Epoch 37/100\n",
254 "500/500 [==============================] - 0s 130us/sample - loss: 0.0532 - accuracy: 0.0040\n",
255 "Epoch 38/100\n",
256 "500/500 [==============================] - 0s 131us/sample - loss: 0.0480 - accuracy: 0.0040\n",
257 "Epoch 39/100\n",
258 "500/500 [==============================] - 0s 136us/sample - loss: 0.0503 - accuracy: 0.0040\n",
259 "Epoch 40/100\n",
260 "500/500 [==============================] - 0s 134us/sample - loss: 0.0468 - accuracy: 0.0040\n",
261 "Epoch 41/100\n",
262 "500/500 [==============================] - 0s 115us/sample - loss: 0.0509 - accuracy: 0.0040\n",
263 "Epoch 42/100\n",
264 "500/500 [==============================] - 0s 109us/sample - loss: 0.0453 - accuracy: 0.0040\n",
265 "Epoch 43/100\n",
266 "500/500 [==============================] - 0s 111us/sample - loss: 0.0484 - accuracy: 0.0040\n",
267 "Epoch 44/100\n",
268 "500/500 [==============================] - 0s 104us/sample - loss: 0.0458 - accuracy: 0.0040\n",
269 "Epoch 45/100\n",
270 "500/500 [==============================] - 0s 110us/sample - loss: 0.0481 - accuracy: 0.0040\n",
271 "Epoch 46/100\n",
272 "500/500 [==============================] - 0s 114us/sample - loss: 0.0468 - accuracy: 0.0060\n",
273 "Epoch 47/100\n",
274 "500/500 [==============================] - 0s 124us/sample - loss: 0.0473 - accuracy: 0.0060\n",
275 "Epoch 48/100\n",
276 "500/500 [==============================] - 0s 137us/sample - loss: 0.0455 - accuracy: 0.0040\n",
277 "Epoch 49/100\n",
278 "500/500 [==============================] - 0s 125us/sample - loss: 0.0431 - accuracy: 0.0060\n",
279 "Epoch 50/100\n",
280 "500/500 [==============================] - 0s 132us/sample - loss: 0.0432 - accuracy: 0.0060\n",
281 "Epoch 51/100\n",
282 "500/500 [==============================] - 0s 116us/sample - loss: 0.0484 - accuracy: 0.0060\n",
283 "Epoch 52/100\n",
284 "500/500 [==============================] - 0s 112us/sample - loss: 0.0482 - accuracy: 0.0040\n",
285 "Epoch 53/100\n",
286 "500/500 [==============================] - 0s 117us/sample - loss: 0.0444 - accuracy: 0.0060\n",
287 "Epoch 54/100\n",
288 "500/500 [==============================] - 0s 109us/sample - loss: 0.0469 - accuracy: 0.0060\n",
289 "Epoch 55/100\n",
290 "500/500 [==============================] - 0s 106us/sample - loss: 0.0427 - accuracy: 0.0040\n",
291 "Epoch 56/100\n",
292 "500/500 [==============================] - 0s 110us/sample - loss: 0.0433 - accuracy: 0.0040\n",
293 "Epoch 57/100\n",
294 "500/500 [==============================] - 0s 102us/sample - loss: 0.0437 - accuracy: 0.0060\n",
295 "Epoch 58/100\n",
296 "500/500 [==============================] - 0s 117us/sample - loss: 0.0425 - accuracy: 0.0040\n",
297 "Epoch 59/100\n",
298 "500/500 [==============================] - 0s 105us/sample - loss: 0.0418 - accuracy: 0.0040\n",
299 "Epoch 60/100\n",
300 "500/500 [==============================] - 0s 109us/sample - loss: 0.0397 - accuracy: 0.0040\n",
301 "Epoch 61/100\n",
302 "500/500 [==============================] - 0s 119us/sample - loss: 0.0507 - accuracy: 0.0040\n",
303 "Epoch 62/100\n",
304 "500/500 [==============================] - 0s 112us/sample - loss: 0.0402 - accuracy: 0.0060\n",
305 "Epoch 63/100\n",
306 "500/500 [==============================] - 0s 133us/sample - loss: 0.0397 - accuracy: 0.0040\n",
307 "Epoch 64/100\n",
308 "500/500 [==============================] - 0s 132us/sample - loss: 0.0427 - accuracy: 0.0060\n",
309 "Epoch 65/100\n",
310 "500/500 [==============================] - 0s 138us/sample - loss: 0.0398 - accuracy: 0.0040\n",
311 "Epoch 66/100\n",
312 "500/500 [==============================] - 0s 145us/sample - loss: 0.0375 - accuracy: 0.0060\n",
313 "Epoch 67/100\n",
314 "500/500 [==============================] - 0s 138us/sample - loss: 0.0402 - accuracy: 0.0060\n",
315 "Epoch 68/100\n",
316 "500/500 [==============================] - 0s 132us/sample - loss: 0.0388 - accuracy: 0.0080\n",
317 "Epoch 69/100\n",
318 "500/500 [==============================] - 0s 115us/sample - loss: 0.0375 - accuracy: 0.0080\n",
319 "Epoch 70/100\n",
320 "500/500 [==============================] - 0s 113us/sample - loss: 0.0384 - accuracy: 0.0040\n",
321 "Epoch 71/100\n",
322 "500/500 [==============================] - 0s 109us/sample - loss: 0.0360 - accuracy: 0.0080\n",
323 "Epoch 72/100\n",
324 "500/500 [==============================] - 0s 111us/sample - loss: 0.0350 - accuracy: 0.0080\n",
325 "Epoch 73/100\n",
326 "500/500 [==============================] - 0s 118us/sample - loss: 0.0370 - accuracy: 0.0060\n",
327 "Epoch 74/100\n",
328 "500/500 [==============================] - 0s 95us/sample - loss: 0.0354 - accuracy: 0.0080\n",
329 "Epoch 75/100\n",
330 "500/500 [==============================] - 0s 102us/sample - loss: 0.0376 - accuracy: 0.0060\n",
331 "Epoch 76/100\n",
332 "500/500 [==============================] - 0s 106us/sample - loss: 0.0371 - accuracy: 0.0080\n",
333 "Epoch 77/100\n",
334 "500/500 [==============================] - 0s 100us/sample - loss: 0.0369 - accuracy: 0.0060\n",
335 "Epoch 78/100\n"
336 ]
337 },
338 {
339 "name": "stdout",
340 "output_type": "stream",
341 "text": [
342 "500/500 [==============================] - 0s 98us/sample - loss: 0.0315 - accuracy: 0.0060\n",
343 "Epoch 79/100\n",
344 "500/500 [==============================] - 0s 97us/sample - loss: 0.0355 - accuracy: 0.0060\n",
345 "Epoch 80/100\n",
346 "500/500 [==============================] - 0s 100us/sample - loss: 0.0278 - accuracy: 0.0080\n",
347 "Epoch 81/100\n",
348 "500/500 [==============================] - 0s 99us/sample - loss: 0.0320 - accuracy: 0.0080\n",
349 "Epoch 82/100\n",
350 "500/500 [==============================] - 0s 99us/sample - loss: 0.0321 - accuracy: 0.0080\n",
351 "Epoch 83/100\n",
352 "500/500 [==============================] - 0s 94us/sample - loss: 0.0332 - accuracy: 0.0060\n",
353 "Epoch 84/100\n",
354 "500/500 [==============================] - 0s 106us/sample - loss: 0.0317 - accuracy: 0.0060\n",
355 "Epoch 85/100\n",
356 "500/500 [==============================] - 0s 103us/sample - loss: 0.0293 - accuracy: 0.0080\n",
357 "Epoch 86/100\n",
358 "500/500 [==============================] - 0s 107us/sample - loss: 0.0304 - accuracy: 0.0060\n",
359 "Epoch 87/100\n",
360 "500/500 [==============================] - 0s 101us/sample - loss: 0.0327 - accuracy: 0.0040\n",
361 "Epoch 88/100\n",
362 "500/500 [==============================] - 0s 100us/sample - loss: 0.0290 - accuracy: 0.0080\n",
363 "Epoch 89/100\n",
364 "500/500 [==============================] - 0s 123us/sample - loss: 0.0293 - accuracy: 0.0060\n",
365 "Epoch 90/100\n",
366 "500/500 [==============================] - 0s 104us/sample - loss: 0.0246 - accuracy: 0.0060\n",
367 "Epoch 91/100\n",
368 "500/500 [==============================] - 0s 124us/sample - loss: 0.0303 - accuracy: 0.0060\n",
369 "Epoch 92/100\n",
370 "500/500 [==============================] - 0s 129us/sample - loss: 0.0376 - accuracy: 0.0080\n",
371 "Epoch 93/100\n",
372 "500/500 [==============================] - 0s 122us/sample - loss: 0.0264 - accuracy: 0.0080\n",
373 "Epoch 94/100\n",
374 "500/500 [==============================] - 0s 102us/sample - loss: 0.0265 - accuracy: 0.0080\n",
375 "Epoch 95/100\n",
376 "500/500 [==============================] - 0s 108us/sample - loss: 0.0291 - accuracy: 0.0080\n",
377 "Epoch 96/100\n",
378 "500/500 [==============================] - 0s 101us/sample - loss: 0.0314 - accuracy: 0.0080\n",
379 "Epoch 97/100\n",
380 "500/500 [==============================] - 0s 95us/sample - loss: 0.0257 - accuracy: 0.0060\n",
381 "Epoch 98/100\n",
382 "500/500 [==============================] - 0s 100us/sample - loss: 0.0248 - accuracy: 0.0080\n",
383 "Epoch 99/100\n",
384 "500/500 [==============================] - 0s 94us/sample - loss: 0.0250 - accuracy: 0.0040\n",
385 "Epoch 100/100\n",
386 "500/500 [==============================] - 0s 106us/sample - loss: 0.0312 - accuracy: 0.0060\n"
387 ]
388 },
389 {
390 "data": {
391 "text/plain": [
392 "<tensorflow.python.keras.callbacks.History at 0x7f55a3853f60>"
393 ]
394 },
395 "execution_count": 8,
396 "metadata": {},
397 "output_type": "execute_result"
398 }
399 ],
400 "source": [
401 "#model.fit(data_input_train, data_labels_train, validation_data=(data_input_test, data_labels_test), epochs=100)\n",
402 "model.fit(data_input_train, data_labels_train, epochs=100)"
403 ]
404 },
405 {
406 "cell_type": "code",
407 "execution_count": 9,
408 "metadata": {},
409 "outputs": [
410 {
411 "name": "stdout",
412 "output_type": "stream",
413 "text": [
414 "100/100 - 0s - loss: 0.0470 - accuracy: 0.0100\n",
415 "\n",
416 "Test accuracy: 0.01\n"
417 ]
418 }
419 ],
420 "source": [
421 "test_loss, test_acc = model.evaluate(data_input_test, data_labels_test, verbose=2)\n",
422 "\n",
423 "print('\\nTest accuracy:', test_acc)"
424 ]
425 },
426 {
427 "cell_type": "code",
428 "execution_count": 10,
429 "metadata": {},
430 "outputs": [
431 {
432 "name": "stdout",
433 "output_type": "stream",
434 "text": [
435 "[[0.3141548]]\n"
436 ]
437 }
438 ],
439 "source": [
440 "input = np.array([0.46,2,136])\n",
441 "input.shape = (1,3)\n",
442 "\n",
443 "prediction = model.predict(input)\n",
444 "print(prediction)"
445 ]
446 },
447 {
448 "cell_type": "code",
449 "execution_count": 11,
450 "metadata": {},
451 "outputs": [],
452 "source": [
453 "predictions = model.predict(data_input_test)"
454 ]
455 },
456 {
457 "cell_type": "code",
458 "execution_count": 12,
459 "metadata": {},
460 "outputs": [],
461 "source": [
462 "%matplotlib qt \n",
463 "plt.plot(predictions)\n",
464 "plt.plot(data_labels_test, 'r')\n",
465 "plt.show()"
466 ]
467 },
468 {
469 "cell_type": "code",
470 "execution_count": 204,
471 "metadata": {},
472 "outputs": [],
473 "source": [
474 "%matplotlib qt\n",
475 "a = data_labels_test - predictions\n",
476 "plt.plot(a[0])\n",
477 "plt.show()"
478 ]
479 },
480 {
481 "cell_type": "code",
482 "execution_count": 207,
483 "metadata": {},
484 "outputs": [],
485 "source": [
486 "%matplotlib qt\n",
487 "a = data_labels_test - predictions\n",
488 "plt.plot(predictions)\n",
489 "plt.plot(data_labels_test, 'r')\n",
490 "plt.plot(a[0], 'g')\n",
491 "plt.show()"
492 ]
493 },
494 {
495 "cell_type": "code",
496 "execution_count": 180,
497 "metadata": {},
498 "outputs": [
499 {
500 "data": {
501 "text/plain": [
502 "-0.08489150602276586"
503 ]
504 },
505 "execution_count": 180,
506 "metadata": {},
507 "output_type": "execute_result"
508 }
509 ],
510 "source": [
511 "np.average(a[0])"
512 ]
513 },
514 {
515 "cell_type": "code",
516 "execution_count": 182,
517 "metadata": {},
518 "outputs": [
519 {
520 "name": "stdout",
521 "output_type": "stream",
522 "text": [
523 "Model: \"sequential_13\"\n",
524 "_________________________________________________________________\n",
525 "Layer (type) Output Shape Param # \n",
526 "=================================================================\n",
527 "dense_38 (Dense) (None, 128) 512 \n",
528 "_________________________________________________________________\n",
529 "dense_39 (Dense) (None, 512) 66048 \n",
530 "_________________________________________________________________\n",
531 "dense_40 (Dense) (None, 512) 262656 \n",
532 "_________________________________________________________________\n",
533 "dense_41 (Dense) (None, 512) 262656 \n",
534 "_________________________________________________________________\n",
535 "dense_42 (Dense) (None, 128) 65664 \n",
536 "_________________________________________________________________\n",
537 "dense_43 (Dense) (None, 1) 129 \n",
538 "=================================================================\n",
539 "Total params: 657,665\n",
540 "Trainable params: 657,665\n",
541 "Non-trainable params: 0\n",
542 "_________________________________________________________________\n"
543 ]
544 }
545 ],
546 "source": [
547 "model.summary()"
548 ]
549 },
550 {
551 "cell_type": "code",
552 "execution_count": 183,
553 "metadata": {},
554 "outputs": [],
555 "source": [
556 "model.save('my_model.h5')"
557 ]
558 },
559 {
560 "cell_type": "code",
561 "execution_count": null,
562 "metadata": {},
563 "outputs": [],
564 "source": []
565 }
566 ],
567 "metadata": {
568 "kernelspec": {
569 "display_name": "Python 3",
570 "language": "python",
571 "name": "python3"
572 },
573 "language_info": {
574 "codemirror_mode": {
575 "name": "ipython",
576 "version": 3
577 },
578 "file_extension": ".py",
579 "mimetype": "text/x-python",
580 "name": "python",
581 "nbconvert_exporter": "python",
582 "pygments_lexer": "ipython3",
583 "version": "3.7.3"
584 }
585 },
586 "nbformat": 4,
587 "nbformat_minor": 2
588}
diff --git a/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb b/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
deleted file mode 100644
index 2c0934c..0000000
--- a/assets/sentiment-analysis/.ipynb_checkpoints/sentiment-analysis-checkpoint.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
1{
2 "cells": [
3 {
4 "cell_type": "markdown",
5 "metadata": {},
6 "source": [
7 "# Sentiment analysis of Guardian World News articles"
8 ]
9 },
10 {
11 "cell_type": "markdown",
12 "metadata": {},
13 "source": [
14 "## Get articles from a website"
15 ]
16 },
17 {
18 "cell_type": "markdown",
19 "metadata": {},
20 "source": [
21 "### Install rss parser dependency"
22 ]
23 },
24 {
25 "cell_type": "code",
26 "execution_count": null,
27 "metadata": {},
28 "outputs": [],
29 "source": [
30 "!pip3 install feedparser"
31 ]
32 },
33 {
34 "cell_type": "markdown",
35 "metadata": {},
36 "source": [
37 "### Parsing RSS feed for world news"
38 ]
39 },
40 {
41 "cell_type": "code",
42 "execution_count": null,
43 "metadata": {},
44 "outputs": [],
45 "source": [
46 "import feedparser\n",
47 "feed_url = \"https://www.theguardian.com/world/rss\"\n",
48 "feed = feedparser.parse(feed_url)"
49 ]
50 },
51 {
52 "cell_type": "code",
53 "execution_count": null,
54 "metadata": {},
55 "outputs": [],
56 "source": [
57 "import re\n",
58 "for item in feed.entries:\n",
59 " # sanitize html\n",
60 " item.description = re.sub('<[^<]+?>', '', item.description)"
61 ]
62 },
63 {
64 "cell_type": "markdown",
65 "metadata": {},
66 "source": [
67 "### Install Vader Sentiment library and perform sentiment analysis"
68 ]
69 },
70 {
71 "cell_type": "code",
72 "execution_count": null,
73 "metadata": {},
74 "outputs": [],
75 "source": [
76 "!pip3 install vaderSentiment"
77 ]
78 },
79 {
80 "cell_type": "code",
81 "execution_count": null,
82 "metadata": {},
83 "outputs": [],
84 "source": [
85 "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
86 "analyser = SentimentIntensityAnalyzer()"
87 ]
88 },
89 {
90 "cell_type": "code",
91 "execution_count": null,
92 "metadata": {},
93 "outputs": [],
94 "source": [
95 "sentiment_results = []\n",
96 "for item in feed.entries:\n",
97 " sentiment_title = analyser.polarity_scores(item.title)\n",
98 " sentiment_description = analyser.polarity_scores(item.description)\n",
99 " sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
100 ]
101 },
102 {
103 "cell_type": "markdown",
104 "metadata": {},
105 "source": [
106 "### Install Matplotlib and visualize compound score"
107 ]
108 },
109 {
110 "cell_type": "code",
111 "execution_count": null,
112 "metadata": {},
113 "outputs": [],
114 "source": [
115 "!pip3 install matplotlib"
116 ]
117 },
118 {
119 "cell_type": "code",
120 "execution_count": null,
121 "metadata": {},
122 "outputs": [],
123 "source": [
124 "import matplotlib.pyplot as plt"
125 ]
126 },
127 {
128 "cell_type": "code",
129 "execution_count": null,
130 "metadata": {},
131 "outputs": [],
132 "source": [
133 "%matplotlib inline\n",
134 "plt.rcParams['figure.figsize'] = (15, 3)\n",
135 "plt.plot(sentiment_results, drawstyle='steps')\n",
136 "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
137 "plt.legend(['title', 'description'])\n",
138 "plt.show()"
139 ]
140 },
141 {
142 "cell_type": "code",
143 "execution_count": null,
144 "metadata": {},
145 "outputs": [],
146 "source": []
147 }
148 ],
149 "metadata": {
150 "kernelspec": {
151 "display_name": "Python 3",
152 "language": "python",
153 "name": "python3"
154 },
155 "language_info": {
156 "codemirror_mode": {
157 "name": "ipython",
158 "version": 3
159 },
160 "file_extension": ".py",
161 "mimetype": "text/x-python",
162 "name": "python",
163 "nbconvert_exporter": "python",
164 "pygments_lexer": "ipython3",
165 "version": "3.7.3"
166 }
167 },
168 "nbformat": 4,
169 "nbformat_minor": 4
170}
diff --git a/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png b/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png
deleted file mode 100644
index 7195bbf..0000000
--- a/assets/sentiment-analysis/guardian-sa-title-desc-relationship.png
+++ /dev/null
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diff --git a/assets/sentiment-analysis/sentiment-analysis.ipynb b/assets/sentiment-analysis/sentiment-analysis.ipynb
deleted file mode 100644
index 2c0934c..0000000
--- a/assets/sentiment-analysis/sentiment-analysis.ipynb
+++ /dev/null
@@ -1,170 +0,0 @@
1{
2 "cells": [
3 {
4 "cell_type": "markdown",
5 "metadata": {},
6 "source": [
7 "# Sentiment analysis of Guardian World News articles"
8 ]
9 },
10 {
11 "cell_type": "markdown",
12 "metadata": {},
13 "source": [
14 "## Get articles from a website"
15 ]
16 },
17 {
18 "cell_type": "markdown",
19 "metadata": {},
20 "source": [
21 "### Install rss parser dependency"
22 ]
23 },
24 {
25 "cell_type": "code",
26 "execution_count": null,
27 "metadata": {},
28 "outputs": [],
29 "source": [
30 "!pip3 install feedparser"
31 ]
32 },
33 {
34 "cell_type": "markdown",
35 "metadata": {},
36 "source": [
37 "### Parsing RSS feed for world news"
38 ]
39 },
40 {
41 "cell_type": "code",
42 "execution_count": null,
43 "metadata": {},
44 "outputs": [],
45 "source": [
46 "import feedparser\n",
47 "feed_url = \"https://www.theguardian.com/world/rss\"\n",
48 "feed = feedparser.parse(feed_url)"
49 ]
50 },
51 {
52 "cell_type": "code",
53 "execution_count": null,
54 "metadata": {},
55 "outputs": [],
56 "source": [
57 "import re\n",
58 "for item in feed.entries:\n",
59 " # sanitize html\n",
60 " item.description = re.sub('<[^<]+?>', '', item.description)"
61 ]
62 },
63 {
64 "cell_type": "markdown",
65 "metadata": {},
66 "source": [
67 "### Install Vader Sentiment library and perform sentiment analysis"
68 ]
69 },
70 {
71 "cell_type": "code",
72 "execution_count": null,
73 "metadata": {},
74 "outputs": [],
75 "source": [
76 "!pip3 install vaderSentiment"
77 ]
78 },
79 {
80 "cell_type": "code",
81 "execution_count": null,
82 "metadata": {},
83 "outputs": [],
84 "source": [
85 "from vaderSentiment.vaderSentiment import SentimentIntensityAnalyzer\n",
86 "analyser = SentimentIntensityAnalyzer()"
87 ]
88 },
89 {
90 "cell_type": "code",
91 "execution_count": null,
92 "metadata": {},
93 "outputs": [],
94 "source": [
95 "sentiment_results = []\n",
96 "for item in feed.entries:\n",
97 " sentiment_title = analyser.polarity_scores(item.title)\n",
98 " sentiment_description = analyser.polarity_scores(item.description)\n",
99 " sentiment_results.append([sentiment_title['compound'], sentiment_description['compound']])"
100 ]
101 },
102 {
103 "cell_type": "markdown",
104 "metadata": {},
105 "source": [
106 "### Install Matplotlib and visualize compound score"
107 ]
108 },
109 {
110 "cell_type": "code",
111 "execution_count": null,
112 "metadata": {},
113 "outputs": [],
114 "source": [
115 "!pip3 install matplotlib"
116 ]
117 },
118 {
119 "cell_type": "code",
120 "execution_count": null,
121 "metadata": {},
122 "outputs": [],
123 "source": [
124 "import matplotlib.pyplot as plt"
125 ]
126 },
127 {
128 "cell_type": "code",
129 "execution_count": null,
130 "metadata": {},
131 "outputs": [],
132 "source": [
133 "%matplotlib inline\n",
134 "plt.rcParams['figure.figsize'] = (15, 3)\n",
135 "plt.plot(sentiment_results, drawstyle='steps')\n",
136 "plt.title('Sentiment analysis relationship between title and description (Guardian World News)')\n",
137 "plt.legend(['title', 'description'])\n",
138 "plt.show()"
139 ]
140 },
141 {
142 "cell_type": "code",
143 "execution_count": null,
144 "metadata": {},
145 "outputs": [],
146 "source": []
147 }
148 ],
149 "metadata": {
150 "kernelspec": {
151 "display_name": "Python 3",
152 "language": "python",
153 "name": "python3"
154 },
155 "language_info": {
156 "codemirror_mode": {
157 "name": "ipython",
158 "version": 3
159 },
160 "file_extension": ".py",
161 "mimetype": "text/x-python",
162 "name": "python",
163 "nbconvert_exporter": "python",
164 "pygments_lexer": "ipython3",
165 "version": "3.7.3"
166 }
167 },
168 "nbformat": 4,
169 "nbformat_minor": 4
170}
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generated by cgit v1.2.3 (git 2.46.0) at 2026-04-30 21:41:26 +0000