Fix typos in notebook readme (#1852)

rerun-io · Apr 14, 2023 · 13c96bb · 13c96bb · github-actions · Apr 14, 2023
1 parent 5dc9b61
commit 13c96bb
Show file tree

Hide file tree

Showing 2 changed files with 4 additions and 3 deletions.
diff --git a/examples/python/notebook/README.md b/examples/python/notebook/README.md
@@ -25,7 +25,7 @@ pip install -r requirements.txt
 
 Open the notebook
 ```
-jupyyter notebook cube.ipynb
+jupyter notebook cube.ipynb
 ```
 
 Follow along in the browser that opens.
diff --git a/examples/python/notebook/cube.ipynb b/examples/python/notebook/cube.ipynb
@@ -50,15 +50,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "rr.start_web_viewer_server()"
+    "# rr.start_web_viewer_server()"
    ]
   },
   {
+   "attachments": {},
    "cell_type": "markdown",
    "id": "bf894a1f",
    "metadata": {},
    "source": [
-    "## Helper to the colored cube\n",
+    "## Helper to create the colored cube\n",
     "\n",
     "This is the same as the color cube demo from `rerun -m rerun_demo`, but the code\n",
     "is repeated here for context."
Benchmark suite	Current: `13c96bb`	Previous: `3cd534f`	Ratio
`datastore/num_rows=1000/num_instances=1000/packed=false/insert/default`	`2925152` ns/iter (`± 316127`)	`3763364` ns/iter (`± 94875`)	`0.78`
`datastore/num_rows=1000/num_instances=1000/packed=false/latest_at/default`	`370` ns/iter (`± 1`)	`373` ns/iter (`± 12`)	`0.99`
`datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/primary/default`	`260` ns/iter (`± 0`)	`263` ns/iter (`± 2`)	`0.99`
`datastore/num_rows=1000/num_instances=1000/packed=false/latest_at_missing/secondaries/default`	`422` ns/iter (`± 0`)	`423` ns/iter (`± 0`)	`1.00`
`datastore/num_rows=1000/num_instances=1000/packed=false/range/default`	`3043142` ns/iter (`± 99446`)	`3958807` ns/iter (`± 107245`)	`0.77`
`datastore/num_rows=1000/num_instances=1000/gc/default`	`2445693` ns/iter (`± 7904`)	`2456376` ns/iter (`± 8122`)	`1.00`
`mono_points_arrow/generate_message_bundles`	`30722506` ns/iter (`± 1597081`)	`29570786` ns/iter (`± 173076`)	`1.04`
`mono_points_arrow/generate_messages`	`126403609` ns/iter (`± 1285930`)	`115987279` ns/iter (`± 849332`)	`1.09`
`mono_points_arrow/encode_log_msg`	`153803332` ns/iter (`± 1347963`)	`148749674` ns/iter (`± 2692081`)	`1.03`
`mono_points_arrow/encode_total`	`311618858` ns/iter (`± 2211347`)	`284652453` ns/iter (`± 2421780`)	`1.09`
`mono_points_arrow/decode_log_msg`	`189564710` ns/iter (`± 1521711`)	`176054401` ns/iter (`± 607732`)	`1.08`
`mono_points_arrow/decode_message_bundles`	`65621108` ns/iter (`± 1694835`)	`59317900` ns/iter (`± 2249038`)	`1.11`
`mono_points_arrow/decode_total`	`257951266` ns/iter (`± 3662200`)	`236176653` ns/iter (`± 1711565`)	`1.09`
`mono_points_arrow_batched/generate_message_bundles`	`20185950` ns/iter (`± 1792327`)	`18970248` ns/iter (`± 934018`)	`1.06`
`mono_points_arrow_batched/generate_messages`	`4122678` ns/iter (`± 121283`)	`4029170` ns/iter (`± 84826`)	`1.02`
`mono_points_arrow_batched/encode_log_msg`	`1373566` ns/iter (`± 23586`)	`1341700` ns/iter (`± 9135`)	`1.02`
`mono_points_arrow_batched/encode_total`	`26744874` ns/iter (`± 1286387`)	`25609081` ns/iter (`± 890607`)	`1.04`
`mono_points_arrow_batched/decode_log_msg`	`775195` ns/iter (`± 4575`)	`778758` ns/iter (`± 1588`)	`1.00`
`mono_points_arrow_batched/decode_message_bundles`	`7342490` ns/iter (`± 105293`)	`7657980` ns/iter (`± 42302`)	`0.96`
`mono_points_arrow_batched/decode_total`	`8339273` ns/iter (`± 100887`)	`8305891` ns/iter (`± 100850`)	`1.00`
`batch_points_arrow/generate_message_bundles`	`196481` ns/iter (`± 949`)	`193586` ns/iter (`± 398`)	`1.01`
`batch_points_arrow/generate_messages`	`5049` ns/iter (`± 46`)	`5144` ns/iter (`± 10`)	`0.98`
`batch_points_arrow/encode_log_msg`	`258727` ns/iter (`± 1953`)	`258005` ns/iter (`± 662`)	`1.00`
`batch_points_arrow/encode_total`	`488076` ns/iter (`± 4209`)	`484781` ns/iter (`± 1677`)	`1.01`
`batch_points_arrow/decode_log_msg`	`209579` ns/iter (`± 1120`)	`211108` ns/iter (`± 490`)	`0.99`
`batch_points_arrow/decode_message_bundles`	`1879` ns/iter (`± 8`)	`1897` ns/iter (`± 4`)	`0.99`
`batch_points_arrow/decode_total`	`220401` ns/iter (`± 1753`)	`220223` ns/iter (`± 422`)	`1.00`
`arrow_mono_points/insert`	`2556873571` ns/iter (`± 10169217`)	`2310867913` ns/iter (`± 3200071`)	`1.11`
`arrow_mono_points/query`	`1170238` ns/iter (`± 13280`)	`1169816` ns/iter (`± 9328`)	`1.00`
`arrow_batch_points/insert`	`1164617` ns/iter (`± 10801`)	`1157855` ns/iter (`± 13845`)	`1.01`
`arrow_batch_points/query`	`14442` ns/iter (`± 111`)	`14374` ns/iter (`± 98`)	`1.00`
`arrow_batch_vecs/insert`	`26589` ns/iter (`± 105`)	`26376` ns/iter (`± 96`)	`1.01`
`arrow_batch_vecs/query`	`325939` ns/iter (`± 731`)	`325356` ns/iter (`± 1011`)	`1.00`
`tuid/Tuid::random`	`34` ns/iter (`± 0`)	`34` ns/iter (`± 0`)	`1`