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Peter Norvig
2021-09-01 22:56:07 -07:00
committed by GitHub
parent 57845a9713
commit e591e2ff79
1 changed files with 5 additions and 5 deletions
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ipynb/SpellingBee.ipynb
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@@ -721,7 +721,7 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"The letterset `'AGLM'` gets 8 points (7 for AMALGAM and 1 for GLAM). `'ACEIORT'` gets 31 points (17 for CACCIATORE and 14 for EROTICA). `'AEGM'` gets 1 for GAME and `'AEGLMPX'` gets 15 for MEGAPLEX. The other 59 lettersets have no words, no points.\n", "The letterset `'AGLM'` gets 8 points (7 for AMALGAM and 1 for GLAM). `'ACEIORT'` gets 31 points (17 for CACCIATORE and 14 for EROTICA). `'AEGM'` gets 1 for GAME and `'AEGLMPX'` gets 15 for MEGAPLEX. \n",
"\n", "\n",
"Let's make sure the new `top_honeycomb2` function works as well as the old one:" "Let's make sure the new `top_honeycomb2` function works as well as the old one:"
] ]
@@ -945,11 +945,11 @@
"cell_type": "markdown", "cell_type": "markdown",
"metadata": {}, "metadata": {},
"source": [ "source": [
"This says that `top_honeycomb3` examined 8,084 honeycombs; an almost 7-fold improvement over the 55,902 examined by `top_honeycomb2`.\n", "`top_honeycomb3` examined 8,084 honeycombs; an almost 7-fold reduction from the 55,902 examined by `top_honeycomb2`.\n",
"\n", "\n",
"# 9: Fancy Report\n", "# 9: Fancy Report\n",
"\n", "\n",
"I'd like to see the actual words that each honeycomb can make, and I'm curious about how the words are divided up by letterset. Here's a function to provide such a report. I remembered that there is a `fill` function in Python (it is in the `textwrap` module) but this report turned out to be a lot more complicated than I anticipated. I guess it is difficult to create a practical extraction and reporting tool. I feel you, [Larry Wall](http://www.wall.org/~larry/)." "I'd like to see the actual words that each honeycomb can make, and I'm curious about how the words are divided up by letterset. Here's a function to provide such a report. This report turned out to be a lot more complicated than I anticipated. I guess it is difficult to create a practical extraction and reporting tool. I feel you, [Larry Wall](http://www.wall.org/~larry/)."
] ]
}, },
{ {
@@ -1352,7 +1352,7 @@
" 537 words                         1,179 words \n", " 537 words                         1,179 words \n",
" <br>50 pangrams &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 86 pangrams\n", " <br>50 pangrams &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 86 pangrams\n",
" <br>3,898 points &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8,681 points\n", " <br>3,898 points &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8,681 points\n",
" <br> &nbsp; RETAINING &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ENTERTAINERS\n", " <br> &nbsp; &nbsp; RETAINING &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ENTERTAINERS\n",
"</center>" "</center>"
] ]
}, },