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@@ -175,7 +175,7 @@
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"Puzzle 1.1: .0015 seconds, answer 1182 correct"
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"Puzzle 1.1: .0007 seconds, answer 1182 correct"
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"Puzzle 1.2: .0021 seconds, answer 7509 WRONG; EXPECTED ANSWER IS 6907"
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"Puzzle 1.2: .0008 seconds, answer 7509 WRONG; EXPECTED ANSWER IS 6907"
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"Puzzle 1.2: .0018 seconds, answer 6907 correct"
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"Puzzle 1.2: .0008 seconds, answer 6907 correct"
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"Puzzle 2.1: .1342 seconds, answer 23560874270 correct"
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"Puzzle 2.1: .0355 seconds, answer 23560874270 correct"
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"text/plain": [
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"Puzzle 2.2: .1546 seconds, answer 44143124633 correct"
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"Puzzle 2.2: .0403 seconds, answer 44143124633 correct"
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"execution_count": 11,
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"text/plain": [
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"Puzzle 3.1: .0043 seconds, answer 17085 correct"
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"Puzzle 3.1: .0019 seconds, answer 17085 correct"
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"execution_count": 13,
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"Puzzle 3.2: .0080 seconds, answer 169408143086082 correct"
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"Puzzle 3.2: .0026 seconds, answer 169408143086082 correct"
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"execution_count": 15,
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"Puzzle 4.1: .0174 seconds, answer 1569 correct"
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"Puzzle 4.1: .0084 seconds, answer 1569 correct"
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"execution_count": 17,
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"text/plain": [
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"Puzzle 4.2: .4197 seconds, answer 9280 correct"
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"Puzzle 4.2: .1996 seconds, answer 9280 correct"
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"execution_count": 19,
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"Puzzle 4.2: .1065 seconds, answer 9280 correct"
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"Puzzle 4.2: .0329 seconds, answer 9280 correct"
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]
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"execution_count": 21,
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"text/plain": [
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"Puzzle 5.1: .0064 seconds, answer 635 correct"
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"Puzzle 5.1: .0029 seconds, answer 635 correct"
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]
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},
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"execution_count": 23,
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"text/plain": [
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"Puzzle 5.2: .0002 seconds, answer 369761800782619 correct"
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"Puzzle 5.2: .0001 seconds, answer 369761800782619 correct"
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"text/plain": [
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"Puzzle 6.1: .0079 seconds, answer 5877594983578 correct"
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"Puzzle 6.1: .0034 seconds, answer 5877594983578 correct"
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]
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"text/plain": [
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"Puzzle 6.2: .0065 seconds, answer 11159825706149 correct"
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"Puzzle 6.2: .0023 seconds, answer 11159825706149 correct"
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"Puzzle 7.1: .0011 seconds, answer 1681 correct"
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"Puzzle 7.1: .0004 seconds, answer 1681 correct"
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"Puzzle 7.2: .0019 seconds, answer 422102272495018 correct"
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"Puzzle 7.2: .0008 seconds, answer 422102272495018 correct"
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"text/plain": [
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"Puzzle 7.2: .0025 seconds, answer 422102272495018 correct"
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"Puzzle 7.2: .0011 seconds, answer 422102272495018 correct"
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"Puzzle 8.1: 1.3418 seconds, answer 24360 correct"
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"Puzzle 8.1: .2886 seconds, answer 24360 correct"
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"Puzzle 8.2: 1.0359 seconds, answer 2185817796 correct"
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"Puzzle 8.2: .2857 seconds, answer 2185817796 correct"
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"Puzzle 9.1: .0333 seconds, answer 4772103936 correct"
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"Puzzle 9.1: .0094 seconds, answer 4772103936 correct"
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"Puzzle 9.2: .8590 seconds, answer 1529675217 correct"
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"Puzzle 9.2: .4376 seconds, answer 1529675217 correct"
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"execution_count": 44,
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"text/plain": [
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"Puzzle 10.1: .0044 seconds, answer 441 correct"
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"Puzzle 10.1: .0019 seconds, answer 441 correct"
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]
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]
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},
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"execution_count": 46,
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"Puzzle 10.2: 11.4070 seconds, answer 18559 correct"
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"Puzzle 10.2: 3.4554 seconds, answer 18559 correct"
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]
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"text/plain": [
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"Puzzle 10.2: .1177 seconds, answer 18559 correct"
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"Puzzle 10.2: .0461 seconds, answer 18559 correct"
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]
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"text/plain": [
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"Puzzle 11.1: .0007 seconds, answer 574 correct"
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"Puzzle 11.1: .0003 seconds, answer 574 correct"
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]
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},
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"execution_count": 53,
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"text/plain": [
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"Puzzle 11.2: .0016 seconds, answer 306594217920240 correct"
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"Puzzle 11.2: .0009 seconds, answer 306594217920240 correct"
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]
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]
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"execution_count": 55,
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" return ok"
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" return ok"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2cbca4d7-773c-4027-8f27-270887180ee1",
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"metadata": {},
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"source": [
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"*Below we see that ChatGPT's code works, but it takes 2 minutes to run:*"
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]
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},
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{
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 57,
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"data": {
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"data": {
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"text/plain": [
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"Puzzle 12.1: 211.1226 seconds, answer 454 correct"
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"Puzzle 12.1: 112.2115 seconds, answer 454 correct"
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]
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},
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"execution_count": 57,
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{
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"cell_type": "code",
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"cell_type": "code",
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"execution_count": 3,
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"execution_count": 58,
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"id": "3b3dbe00-a191-412b-b062-edefc9ab4013",
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"id": "3b3dbe00-a191-412b-b062-edefc9ab4013",
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"metadata": {},
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"metadata": {},
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"outputs": [],
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"outputs": [],
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@@ -3886,87 +3894,44 @@
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"id": "8aa26008-a652-4860-9c84-5ba4344d32f3",
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"id": "8aa26008-a652-4860-9c84-5ba4344d32f3",
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"metadata": {},
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"metadata": {},
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"source": [
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"source": [
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"# Summary of Run Times\n",
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"# Summary\n",
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"\n",
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"\n",
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"*Here are the run times and some comments.*\n",
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"*Here are the run times, lines-of-code counts, and some comments.*\n",
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"\n",
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"\n",
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"*The LLM lines-of-code count is 5 times the human count. The LLM run times are roughly double the human-written run times, if we throw out 12.1, where the human noticed the trick and the LLM didn't. But all the solutions run in under a second, so run time is not a big deal.*"
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"*The LLM lines-of-code count is 5 times the human count. The LLM run times are roughly double the human-written run times, if we throw out 12.1, where the human noticed the trick and the LLM didn't. But all the solutions run in under a second, so run time is not a big deal.*"
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]
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]
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},
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},
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{
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{
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"cell_type": "markdown",
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"cell_type": "markdown",
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||||||
"id": "49736354-51c0-4870-bc39-f7a2e955e196",
|
"id": "a27a329a-01f5-4fbc-a3a6-5946bffe859f",
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"metadata": {},
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"metadata": {},
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||||||
"source": [
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"source": [
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" DAY LLM Human LLM Human\n",
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" | DAY | LLM<br>Name | LLM<br>Time | Human<br>Time | LLM<br>LOC | Human<br>LOC | Comments |\n",
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" #\tLLM Time\tTime LOC LOC\t\n",
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" | --- | ------ | ---- | ----- | --- | ----- | ---|\n",
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" --- ------ ---- ----- --- -----\n",
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" | 1.1 | Gemini | .0007 | .0002 | 51 | 6 | Straightforward and easy for LLM and human. | \n",
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" 1.1\tGemini\t.001\t.001\t51\t6\tStraightforward and easy for LLM and human.\n",
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" | 1.2 | Gemini | .0008 | .0004 | 75 | 11 | Both LLM and human erred on the distance from 0 to 0. | \n",
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" 1.2\tGemini\t.002\t.001\t75\t11\tBoth LLM and human erred on the distance from 0 to 0.\n",
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" | 2.1 | Claude | .0355 | .0001 | 29 | 17 | Easy | \n",
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" 2.1\tClaude\t.121\t.003\t29\t17\tEasy\n",
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" | 2.2 | Claude | .0403 | .0002 | 35 | 16 | Both LLM and human found the more efficient half-digits approach | \n",
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" 2.2\tClaude\t.135\t.004\t35\t16\tBoth LLM and human found the more efficient half-digits approach\n",
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" | 3.1 | ChatGPT | .0019 | .0003 | 22 | 11 | Easy | \n",
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" 3.1\tChatGPT\t.004\t.001\t22\t11\tEasy\n",
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" | 3.2 | ChatGPT | .0026 | .0008 | 42 | 14 | Easy | \n",
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" 3.2\tChatGPT\t.007\t.002\t42\t14\tEasy\n",
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" | 4.1 | Gemini | .0084 | .0194 | 44 | 9 | Easy | \n",
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" 4.1\tGemini\t.016\t.055\t44\t9\tEasy\n",
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" | 4.2 | Gemini | .0329 | .0495 | 52 | 8 | LLM chose the less efficient scan-whole-grid approach | \n",
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" 4.2\tGemini\t.379\t.139\t52\t8\tLLM chose the less efficient scan-whole-grid approach\n",
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" | 5.1 | Claude | .0029 | .0045 | 45 | 11 | Easy | \n",
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" 5.1\tClaude\t.005\t.012\t45\t11\tEasy\n",
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" | 5.2 | Claude | .0001 | .0000 | 58 | 9 | Easy | \n",
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" 5.2\tClaude\t.001\t.001\t58\t9\tEasy\n",
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" | 6.1 | ChatGPT | .0034 | .0008 | 67 | 7 | Easy; bad “if x: True else: False” idiom by LLM | \n",
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" 6.1\tChatGPT\t.008\t.002\t67\t7\tEasy; bad “if x: True else: False” idiom by LLM\n",
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" | 6.2 | ChatGPT | .0023 | .0013 | 87 | 27 | Easy; LLM overly verbose | \n",
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" 6.2\tChatGPT\t.006\t.006\t87\t27\tEasy; LLM overly verbose\n",
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" | 7.1 | Gemini | .0004 | .0003 | 63 | 13 | Easy | \n",
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" 7.1\tGemini\t.001\t.001\t63\t13\tEasy\n",
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" | 7.2 | Gemini | .0011 | .0007 | 70 | 11 | Easy | \n",
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" 7.2\tGemini\t.002\t.002\t70\t11\tEasy\n",
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" | 8.1 | Claude | .2886 | .1981 | 91 | 27 | Easy | \n",
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" 8.1\tClaude\t.828\t.583\t91\t27\tEasy\n",
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" | 8.2 | Claude | .2857 | .2034 | 82 | 11 | Easy; but LLMs Union-Find data type runs slower than mine. | \n",
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" 8.2\tClaude\t.835\t.618\t82\t11\tEasy; but LLMs Union-Find data type runs slower than mine.\n",
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" | 9.1 | ChatGPT | .0094 | .0187 | 33 | 7 | Easy | \n",
|
||||||
" 9.1\tChatGPT\t.027\t.037\t33\t7\tEasy\n",
|
" | 9.2 | ChatGPT | .4376 | .0046 | 157 | 36 | LLM code a bit complicated; human uses “2 point” trick for speedup | \n",
|
||||||
" 9.2\tChatGPT\t.771\t.016\t157\t36\tLLM code a bit complicated; human uses “2 point” trick for speedup\n",
|
" | 10.1 | Gemini | .0019 | .0242 | 101 | 18 | Easy | \n",
|
||||||
" 10.1\tGemini\t.005\t.001\t101\t18\tEasy\n",
|
" | 10.2 | Gemini | .0461 | .0680 | 70 | 13 | milp solutions similar; LLM offers other solutions | \n",
|
||||||
" 10.2\tGemini\t.120\t.112\t70\t13\tmilp solutions similar; LLM offers other solutions\n",
|
" | 11.1 | Claude | .0003 | .0001 | 83 | 11 | Easy; LLM has a bit of vestigial code | \n",
|
||||||
" 11.1\tClaude\t.023\t.001\t83\t11\tEasy; LLM has a bit of vestigial code\n",
|
" | 11.2 | Claude | .0009 | .0010 | 77 | 11 | Easy | \n",
|
||||||
" 11.2\tClaude\t.001\t.001\t77\t11\tEasy\n",
|
" | 12.1 | ChatGPT | 112.2 | .0006 | 238 | 20 | Human saw shortcut to avoid search; LLM wrote search functions | \n",
|
||||||
" 12.1\tChatGPT\t3min\t.002\t238\t20\tHuman saw shortcut to avoid search; LLM wrote search functions\n",
|
" | **TOTAL** | |**1.204** | **.597** | **1672** | **324** | **Total time ignores 12.1. Overall, Human code is 5x briefer, 2x faster** | "
|
||||||
" TOTAL 3.29\t1.60 1672\t324\tOverall, Human code is 5x briefer, 2x faster (even ignoring 12.1)"
|
|
||||||
]
|
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||||||
},
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{
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"cell_type": "code",
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"execution_count": 58,
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||||||
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|
||||||
"output_type": "stream",
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||||||
"text": [
|
|
||||||
"Puzzle 1.1: .0015 seconds, answer 1182 correct\n",
|
|
||||||
"Puzzle 1.2: .0018 seconds, answer 6907 correct\n",
|
|
||||||
"Puzzle 2.1: .1342 seconds, answer 23560874270 correct\n",
|
|
||||||
"Puzzle 2.2: .1546 seconds, answer 44143124633 correct\n",
|
|
||||||
"Puzzle 3.1: .0043 seconds, answer 17085 correct\n",
|
|
||||||
"Puzzle 3.2: .0080 seconds, answer 169408143086082 correct\n",
|
|
||||||
"Puzzle 4.1: .0174 seconds, answer 1569 correct\n",
|
|
||||||
"Puzzle 4.2: .1065 seconds, answer 9280 correct\n",
|
|
||||||
"Puzzle 5.1: .0064 seconds, answer 635 correct\n",
|
|
||||||
"Puzzle 5.2: .0002 seconds, answer 369761800782619 correct\n",
|
|
||||||
"Puzzle 6.1: .0079 seconds, answer 5877594983578 correct\n",
|
|
||||||
"Puzzle 6.2: .0065 seconds, answer 11159825706149 correct\n",
|
|
||||||
"Puzzle 7.1: .0011 seconds, answer 1681 correct\n",
|
|
||||||
"Puzzle 7.2: .0025 seconds, answer 422102272495018 correct\n",
|
|
||||||
"Puzzle 8.1: 1.3418 seconds, answer 24360 correct\n",
|
|
||||||
"Puzzle 8.2: 1.0359 seconds, answer 2185817796 correct\n",
|
|
||||||
"Puzzle 9.1: .0333 seconds, answer 4772103936 correct\n",
|
|
||||||
"Puzzle 9.2: .8590 seconds, answer 1529675217 correct\n",
|
|
||||||
"Puzzle 10.1: .0044 seconds, answer 441 correct\n",
|
|
||||||
"Puzzle 10.2: .1177 seconds, answer 18559 correct\n",
|
|
||||||
"Puzzle 11.1: .0007 seconds, answer 574 correct\n",
|
|
||||||
"Puzzle 11.2: .0016 seconds, answer 306594217920240 correct\n",
|
|
||||||
"Puzzle 12.1: 211.1226 seconds, answer 454 correct\n",
|
|
||||||
"\n",
|
|
||||||
"Time in seconds: sum = 214.970, mean = 9.347, median = .008, max = 211.123\n"
|
|
||||||
]
|
|
||||||
}
|
|
||||||
],
|
|
||||||
"source": [
|
|
||||||
"summary(answers) # Below is the most recent run of this notebook; the chart above is from a previous run."
|
|
||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
@@ -3986,7 +3951,7 @@
|
|||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
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|
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|
||||||
|
|||||||
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|
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|
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||||||
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||||||
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|
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|
||||||
"Puzzle 1.1: .0006 seconds, answer 1182 correct"
|
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|
||||||
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|
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|
||||||
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||||||
"Puzzle 1.2: .0574 seconds, answer 6907 correct"
|
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|
||||||
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|
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|
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||||||
"Puzzle 2.1: .0004 seconds, answer 23560874270 correct"
|
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|
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|
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"Puzzle 2.2: .0005 seconds, answer 44143124633 correct"
|
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|
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|
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||||||
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"Puzzle 3.1: .0005 seconds, answer 17085 correct"
|
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|
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|
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"Puzzle 3.1: .0006 seconds, answer 17085 correct"
|
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|
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"Puzzle 3.2: .0016 seconds, answer 169408143086082 correct"
|
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|
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|
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||||||
"Puzzle 4.1: .0376 seconds, answer 1569 correct"
|
"Puzzle 4.1: .0194 seconds, answer 1569 correct"
|
||||||
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|
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|
||||||
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|
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||||||
"Puzzle 4.2: .8418 seconds, answer 9280 correct"
|
"Puzzle 4.2: .4524 seconds, answer 9280 correct"
|
||||||
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|
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|
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|
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||||||
"Puzzle 4.2: .0968 seconds, answer 9280 correct"
|
"Puzzle 4.2: .0495 seconds, answer 9280 correct"
|
||||||
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|
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|
||||||
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|
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||||||
"image/png": 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truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1000x1000 with 1 Axes>"
|
"<Figure size 1000x1000 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -958,7 +958,7 @@
|
|||||||
},
|
},
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1000x1000 with 1 Axes>"
|
"<Figure size 1000x1000 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -1057,7 +1057,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 5.1: .0071 seconds, answer 635 correct"
|
"Puzzle 5.1: .0045 seconds, answer 635 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 36,
|
"execution_count": 36,
|
||||||
@@ -1138,7 +1138,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 5.2: .0001 seconds, answer 369761800782619 correct"
|
"Puzzle 5.2: .0000 seconds, answer 369761800782619 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 39,
|
"execution_count": 39,
|
||||||
@@ -1224,7 +1224,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 6.1: .0017 seconds, answer 5877594983578 correct"
|
"Puzzle 6.1: .0008 seconds, answer 5877594983578 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 42,
|
"execution_count": 42,
|
||||||
@@ -1307,7 +1307,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 6.2: .0029 seconds, answer 11159825706149 correct"
|
"Puzzle 6.2: .0013 seconds, answer 11159825706149 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 44,
|
"execution_count": 44,
|
||||||
@@ -1519,7 +1519,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 7.1: .0008 seconds, answer 1681 correct"
|
"Puzzle 7.1: .0003 seconds, answer 1681 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 52,
|
"execution_count": 52,
|
||||||
@@ -1573,7 +1573,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 7.2: .0014 seconds, answer 422102272495018 correct"
|
"Puzzle 7.2: .0007 seconds, answer 422102272495018 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 54,
|
"execution_count": 54,
|
||||||
@@ -1697,7 +1697,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 8.1: .4600 seconds, answer 24360 correct"
|
"Puzzle 8.1: .1981 seconds, answer 24360 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 57,
|
"execution_count": 57,
|
||||||
@@ -1750,7 +1750,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 8.2: .5004 seconds, answer 2185817796 correct"
|
"Puzzle 8.2: .2034 seconds, answer 2185817796 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 59,
|
"execution_count": 59,
|
||||||
@@ -1866,7 +1866,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 9.1: .0267 seconds, answer 4772103936 correct"
|
"Puzzle 9.1: .0187 seconds, answer 4772103936 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 62,
|
"execution_count": 62,
|
||||||
@@ -1901,7 +1901,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 700x700 with 1 Axes>"
|
"<Figure size 700x700 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2011,7 +2011,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": "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 truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 700x700 with 1 Axes>"
|
"<Figure size 700x700 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2079,7 +2079,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 9.2: .0037 seconds, answer 1529675217 correct"
|
"Puzzle 9.2: .0046 seconds, answer 1529675217 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 67,
|
"execution_count": 67,
|
||||||
@@ -2108,7 +2108,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": 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truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 1200x1200 with 1 Axes>"
|
"<Figure size 1200x1200 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2147,8 +2147,8 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"CPU times: user 541 ms, sys: 5.34 ms, total: 546 ms\n",
|
"CPU times: user 275 ms, sys: 2.39 ms, total: 278 ms\n",
|
||||||
"Wall time: 548 ms\n"
|
"Wall time: 277 ms\n"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
@@ -2186,7 +2186,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAlkAAAJKCAYAAAAfulByAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjgsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvwVt1zgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAQHVJREFUeJzt3Qt8FdW99//fzs6NBBKughBAMVEBFY9oBdRKkZq/Wh8U9HiO1gaK1UKgXLwVj0I9Ly2W9l+gCgpKgVo9Kj3FPlpvHES0CnKx9hFoMemDknBXTEIC7Nzmef1msm8QsjeQtS+Zz/vVaVbWHncmaybJlzVr1vJYlmUJAAAAWlVK674dAAAACFkAAACG0JMFAABgACELAADAAEIWAACAAYQsAAAAAwhZAAAABhCyAAAADCBkAQAAGEDIAgAASLaQ9bOf/Uw8Hk/Ydv755wdeP3r0qBQXF0uXLl2kffv2MmbMGNm3b5/JQwIAAIiJVNNfYODAgfI///M/wS+YGvyS06ZNkz//+c+yYsUKyc3NlUmTJsno0aPlww8/jPr9GxsbZffu3dKhQwc7xAEAAJiiSz4fOnRIevbsKSkpKfENWRqqevTocVx9ZWWlLFmyRF588UUZMWKEXbd06VLp37+/rF+/XoYMGRLV+2vA6t27d6sfNwAAwImUlZVJXl6exDVklZSU2GkvMzNThg4dKrNnz5Y+ffrI5s2bpa6uTkaOHBnYV28l6mvr1q07Ycjy+Xz2Fpoo/d9sTk6O6W8HAAC4WFVVld25o3fQIjEasi6//HJZtmyZnHfeebJnzx559NFH5aqrrpItW7bI3r17JT09XTp27Bj233Tv3t1+7UQ0pOn7HEsDFiELAADEQjRDlIyGrOuuuy5Qvuiii+zQ1bdvX3nllVekXbt2p/SeM2bMkOnTpx+XKAEAAFw7hYP2Wp177rlSWlpqj9Oqra2VioqKsH306cLmxnD5ZWRkBHqt6L0CAACJKqYhq7q6Wv75z3/KmWeeKYMHD5a0tDRZvXp14PXt27fLzp077bFbAAAAyczo7cL77rtPbrzxRvsWoT4FOGvWLPF6vfLv//7v9pQN48ePt2/9de7c2e6Vmjx5sh2won2yEAAAwJUhq7y83A5UX3/9tXTr1k2uvPJKe3oGLau5c+fac0zoJKT6xGBhYaEsXLjQ5CEBAADEhMfyz4GQpHTgu/aK6bxbPF0IAAASJXewdiEAAIABhCwAAAADCFkAAAAGELIAAAAMIGQBAAAYQMgCAAAwgJAFAABgACELAADAAEIWAACAAYQsAAAAAwhZAAAABhCyAAAADCBkAQAAGEDIAgAAMICQBQAAYAAhCwAAwABCFgAAgAGELAAAAAMIWQAAAAYQsgAAAAwgZAEAABhAyAIAADCAkAUAAGAAIQsAAMAAQhYAAIABhCwAAAADCFkAAAAGELIAAAAMIGQBAAAYQMgCAAAwgJAFAABgACELAADAAEIWAACAAYQsAAAAAwhZAAAABhCyAAAADCBkAQAAGEDIAgAAMICQBQAAYAAhCwAAwABCFgAAgAGELAAAAAMIWQAAAAYQsgAAAAwgZAEAABhAyAIAADCAkAUAAGAAIQsAAMAAQhYAAIABhCwAAAADCFkAAAAGELIAAAAMIGQBAAAYQMgCAAAwgJAFAABgACELAADAAEIWAACAAYQsAAAAAwhZAAAABhCyAAAADCBkAQAAGEDIAgAAMICQBQAAYAAhCwAAwABCFgAAgAGELAAAAAMIWQAAAAYQsgAAAAwgZAEAABhAyAIAADCAkAUAAGAAIQsAAMAAQhYAAIABhCwAAIBkDllPPPGEeDwemTp1aqDu6NGjUlxcLF26dJH27dvLmDFjZN++fbE6JAAAgOQOWRs3bpRFixbJRRddFFY/bdo0ee2112TFihWydu1a2b17t4wePToWhwTgVJSXi6xZ43wEgERUnji/p1JNf4Hq6mq544475Nlnn5XHHnssUF9ZWSlLliyRF198UUaMGGHXLV26VPr37y/r16+XIUOGmD40ACdjyRKx7r5bPI2NYqWkSO3CJ6V+XBFtCCBhpC5dLukTJ9u/pyQlRWTxYpHx4+N3PKa/gN4OvOGGG2TkyJFhIWvz5s1SV1dn1/udf/750qdPH1m3bt0JQ5bP57M3v6qqKsPfAQD9F6E/YCn96J1QLOdsL5ZdubQPgPjrVSny5TwRj9VUob+v7rlHpLBQJC+v7d0ufOmll+STTz6R2bNnH/fa3r17JT09XTp27BhW3717d/u1E9H3ys3NDWy9e/c2cuwAQpSUBAKWX6olkn+QVgKQGAoOinj9AcuvoUGktLTt9WSVlZXJlClTZNWqVZKZmdlq7ztjxgyZPn16WE8WQQswrKDAvkUYGrQsr1femLlNrLxeND+AuPOU7xLr+f7h/yD0ekXy89teyNLbgfv375dLLrkkUNfQ0CDvv/++PPXUU/L2229LbW2tVFRUhPVm6dOFPXr0OOH7ZmRk2BuAGMrLs8dg6S1C7cHSgOVZtEiy+p3LaQCQGPqdK75mfk/F61ah0ZB1zTXXyGeffRZWN27cOHvc1YMPPmj3PqWlpcnq1avtqRvU9u3bZefOnTJ06FBThwXgFOkgdx2DpbcItQeLgAUg0dQn2O8pYyGrQ4cOcsEFF4TVZWdn23Ni+evHjx9v3/rr3Lmz5OTkyOTJk+2AxZOFQGLSQe66cYsQQKLalUC/p4w/XdiSuXPnSkpKit2TpU8MFhYWysKFCyXhbNwo8sEHIlddJXLZZfE+GiCuT+/o4FId+6Bd8wCAE/NYlnXsWPykogPf9SlDnXdLe8Na3dixYi1fLh4d6CsiNbcXyeGnFkhamkh6urOLjrE7csQpZ2cH/1OdaaK+XsL21dY+fNgpZ2WJePSNRaS2VqSu7uT2TU3VMWrBr1dT43xs186ZHuRk99X9dH8dJxj6rIIegx6L1ulrJ7uvtoG2hX4d/Xp+2mbadiezr34P+r34Hxo5etRpF22fU9lX6/Q1bXNt+5bO58nsG+ncn+51cqLzearXyYnOZ+i+1m8XS/ak6dJopYrPkympC5+UzB+PPaVzfyrXSXPn83Suk+bOZ2tcJ82dT35HuPd3BGKrprZG2s9ub5erZ1RLdnrICYpH7rCSXGVlpWYf+2Or27DBanR+HwS2IlnqFL97nyU/E2eb3tOpS6kN1ul22VNO/dWzgnUP5gbf7pHUYP2wOU6dfvTX6ev+ffW/89fr+2mdvn/o19Ovr/V6PP46PU6tG7Q0fN+Mb5z6yfnBuusnOnUDXgnft0O5U3/PoGDdqCKnruD18H07f+7U/3BYsO7WW5y6vmvC9+3+V6f+zpHButuvd+p6bgjft/dfnPrbRgXriq526rptCd+33ztO/ejbg3U/utSpy90Rvu95K536G+8K1k0c4NRl7Q/f98LfO/WFU4J1U/o6dWnV4ftestipH/FQsO7+rsHzGbrv5XOduqseC9Y9lBXcV8v+et1H6/S/CX0P/776Nfx1+rW1To8ldF89Vq3XY/fX6fekdfo9hu6rbSCWdcadA6x6j/NFFstddt0oedWyysoCPy59+zrHsGFD8Efo97936kaODP/RGjDAqV+zJli3cqVTN2xY+L6XXurUv/56sO6dd5y6QYPC9736aqf+lVeCdX/5i1OXnx++7/XXO/VLlwbr/vpXp65nz/B9b7nFqX/qqWDd5587dbm54fsWFTn1c+YE68rLnbrU1PB9J0506mfNCtZ9803wV05tbbD+vvucOv3op6/799X/zk/fT+v0/UPp19d6PR4/PU6t0+MOpd+X1uv36affv9Zpe4TS9tJ6bT8/bVet03YOpedB6/W8+On50jo9f6H0/Gq9nm8/vQ60Tq+LUHrdaL1eR356fWmdXm+h9HrUer0+/fS61Tq9jkONGuXUL14crNuyxanr2jV839tvd+rnzg2vR+xU+4K/i7Uc79zBAtEt+eADOSxZ4hHL3mok5J83gIv0rWxm/hnNdnGcfwZIZNrb9cUXznbMFHNwEW4XtmTjRqn+1nDpIM49k2rJFq/US/Wq1eId8i/cCuB2oWtuF2Z9vUuyz3Pmn6mTVKmVdPGmiGR+uT3weDS3C098Prld6L7bhfrz1N65ayXV1eH7wT23CwlZkRrz38bI0Zfft8dkdZGvJKWoSGTZstY8X0ByWLLEWaJC/4roXzydfyaOa4IBiUz/gXLGGU55/35ClltDVlyfLkwGXz/9K/nXDv3kijKR++9bKb1G3hTvQwLiQwOVrgGmtwh1BuU4TvAHJDrtufL3BMO9CFlR2JTnbFMGDzJ/RoBEpsGKcAUAUSFkRaD31eX9h5zyj6NrVAAAAEJWBPV1HpF3H28qf8EVAwCISAfnT5rklJ96KvzhE7gHISsCr05VdcmzTeWRsTgnAIAkp09BPvecU543j5DlVoSsCOx/ffyvu5vK/zcW5wQAkOR0uofHHguW4U6ELAAAWpnOlfUf/0Gzuh0zvgMAABhAT1YEh2s8Io9XO+XxB0Q6mTgNAIC2RGe1/+orp9y1a3AlBrgLISsadf4ZYw8YPRkAgLZBlw/yz/jOsjruRciKILOdJTLlrKbymlicEwAA0AYQsiKwF9Dt9GWwDABAFMvq6C1DuBuxAQAAwAB6siKoqxORdVOc8gQTpwAAALRFhKwI6mo9Im/PayqzrA4AILpldR580Cn/4hfM+O5WhKwIvF4RufCFpvIVsTgnAIA2sKzO/PlO+fHHCVluRciKICPTEhnz/aYyy+oAACLTpXQeeihYhjsRsgAAMLCsjvZgwd14uhAAAMAAerKiWVZnzn6nPL6GZXUAABHpHFk667vKymJZHbciZEXjcLemQo3RkwEAaBs0YLVv75RZVse9CFnRLKszcWBT+fVYnBMAANAGELIisJfSOWNbsAwAQAR6i1B7sPxluBMhCwCAVubxOOsXwt0IWdEsq7P5rmAZAAALine truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 700x700 with 1 Axes>"
|
"<Figure size 700x700 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -2319,7 +2319,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 10.1: .0541 seconds, answer 441 correct"
|
"Puzzle 10.1: .0242 seconds, answer 441 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 73,
|
"execution_count": 73,
|
||||||
@@ -2471,7 +2471,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 10.2: .1553 seconds, answer 18559 correct"
|
"Puzzle 10.2: .0680 seconds, answer 18559 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 77,
|
"execution_count": 77,
|
||||||
@@ -2681,7 +2681,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 11.1: .0005 seconds, answer 574 correct"
|
"Puzzle 11.1: .0001 seconds, answer 574 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 83,
|
"execution_count": 83,
|
||||||
@@ -2733,7 +2733,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 11.2: .0022 seconds, answer 306594217920240 correct"
|
"Puzzle 11.2: .0010 seconds, answer 306594217920240 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 85,
|
"execution_count": 85,
|
||||||
@@ -2919,7 +2919,7 @@
|
|||||||
"outputs": [
|
"outputs": [
|
||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"image/png": 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truncated
|
"image/png": "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 truncated
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"<Figure size 640x480 with 1 Axes>"
|
"<Figure size 640x480 with 1 Axes>"
|
||||||
]
|
]
|
||||||
@@ -3015,7 +3015,7 @@
|
|||||||
{
|
{
|
||||||
"data": {
|
"data": {
|
||||||
"text/plain": [
|
"text/plain": [
|
||||||
"Puzzle 12.1: .0013 seconds, answer 454 correct"
|
"Puzzle 12.1: .0006 seconds, answer 454 correct"
|
||||||
]
|
]
|
||||||
},
|
},
|
||||||
"execution_count": 92,
|
"execution_count": 92,
|
||||||
@@ -3073,31 +3073,31 @@
|
|||||||
"name": "stdout",
|
"name": "stdout",
|
||||||
"output_type": "stream",
|
"output_type": "stream",
|
||||||
"text": [
|
"text": [
|
||||||
"Puzzle 1.1: .0006 seconds, answer 1182 correct\n",
|
"Puzzle 1.1: .0002 seconds, answer 1182 correct\n",
|
||||||
"Puzzle 1.2: .0007 seconds, answer 6907 correct\n",
|
"Puzzle 1.2: .0004 seconds, answer 6907 correct\n",
|
||||||
"Puzzle 2.1: .0003 seconds, answer 23560874270 correct\n",
|
"Puzzle 2.1: .0001 seconds, answer 23560874270 correct\n",
|
||||||
"Puzzle 2.2: .0005 seconds, answer 44143124633 correct\n",
|
"Puzzle 2.2: .0002 seconds, answer 44143124633 correct\n",
|
||||||
"Puzzle 3.1: .0006 seconds, answer 17085 correct\n",
|
"Puzzle 3.1: .0003 seconds, answer 17085 correct\n",
|
||||||
"Puzzle 3.2: .0016 seconds, answer 169408143086082 correct\n",
|
"Puzzle 3.2: .0008 seconds, answer 169408143086082 correct\n",
|
||||||
"Puzzle 4.1: .0376 seconds, answer 1569 correct\n",
|
"Puzzle 4.1: .0194 seconds, answer 1569 correct\n",
|
||||||
"Puzzle 4.2: .0968 seconds, answer 9280 correct\n",
|
"Puzzle 4.2: .0495 seconds, answer 9280 correct\n",
|
||||||
"Puzzle 5.1: .0071 seconds, answer 635 correct\n",
|
"Puzzle 5.1: .0045 seconds, answer 635 correct\n",
|
||||||
"Puzzle 5.2: .0001 seconds, answer 369761800782619 correct\n",
|
"Puzzle 5.2: .0000 seconds, answer 369761800782619 correct\n",
|
||||||
"Puzzle 6.1: .0017 seconds, answer 5877594983578 correct\n",
|
"Puzzle 6.1: .0008 seconds, answer 5877594983578 correct\n",
|
||||||
"Puzzle 6.2: .0029 seconds, answer 11159825706149 correct\n",
|
"Puzzle 6.2: .0013 seconds, answer 11159825706149 correct\n",
|
||||||
"Puzzle 7.1: .0008 seconds, answer 1681 correct\n",
|
"Puzzle 7.1: .0003 seconds, answer 1681 correct\n",
|
||||||
"Puzzle 7.2: .0014 seconds, answer 422102272495018 correct\n",
|
"Puzzle 7.2: .0007 seconds, answer 422102272495018 correct\n",
|
||||||
"Puzzle 8.1: .4600 seconds, answer 24360 correct\n",
|
"Puzzle 8.1: .1981 seconds, answer 24360 correct\n",
|
||||||
"Puzzle 8.2: .5004 seconds, answer 2185817796 correct\n",
|
"Puzzle 8.2: .2034 seconds, answer 2185817796 correct\n",
|
||||||
"Puzzle 9.1: .0267 seconds, answer 4772103936 correct\n",
|
"Puzzle 9.1: .0187 seconds, answer 4772103936 correct\n",
|
||||||
"Puzzle 9.2: .0037 seconds, answer 1529675217 correct\n",
|
"Puzzle 9.2: .0046 seconds, answer 1529675217 correct\n",
|
||||||
"Puzzle 10.1: .0541 seconds, answer 441 correct\n",
|
"Puzzle 10.1: .0242 seconds, answer 441 correct\n",
|
||||||
"Puzzle 10.2: .1553 seconds, answer 18559 correct\n",
|
"Puzzle 10.2: .0680 seconds, answer 18559 correct\n",
|
||||||
"Puzzle 11.1: .0005 seconds, answer 574 correct\n",
|
"Puzzle 11.1: .0001 seconds, answer 574 correct\n",
|
||||||
"Puzzle 11.2: .0022 seconds, answer 306594217920240 correct\n",
|
"Puzzle 11.2: .0010 seconds, answer 306594217920240 correct\n",
|
||||||
"Puzzle 12.1: .0013 seconds, answer 454 correct\n",
|
"Puzzle 12.1: .0006 seconds, answer 454 correct\n",
|
||||||
"\n",
|
"\n",
|
||||||
"Time in seconds: sum = 1.357, mean = .059, median = .002, max = .500\n"
|
"Time in seconds: sum = .597, mean = .026, median = .001, max = .203\n"
|
||||||
]
|
]
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
@@ -3110,7 +3110,7 @@
|
|||||||
"id": "1098c017-2746-403c-bfb0-1a08cacc835d",
|
"id": "1098c017-2746-403c-bfb0-1a08cacc835d",
|
||||||
"metadata": {},
|
"metadata": {},
|
||||||
"source": [
|
"source": [
|
||||||
"I solved all the puzzles and they run in well under 2 seconds of total run time. \n",
|
"I solved all the puzzles. They run in well under a second of total run time, with Day 8 taking the longest time, at about 0.2 seconds per part.\n",
|
||||||
"\n",
|
"\n",
|
||||||
"Happy Advent everyone, and thank you [Eric Wastl](https://was.tl/) for the interesting puzzles!\n",
|
"Happy Advent everyone, and thank you [Eric Wastl](https://was.tl/) for the interesting puzzles!\n",
|
||||||
"\n",
|
"\n",
|
||||||
@@ -3139,7 +3139,7 @@
|
|||||||
"name": "python",
|
"name": "python",
|
||||||
"nbconvert_exporter": "python",
|
"nbconvert_exporter": "python",
|
||||||
"pygments_lexer": "ipython3",
|
"pygments_lexer": "ipython3",
|
||||||
"version": "3.13.5"
|
"version": "3.13.3"
|
||||||
}
|
}
|
||||||
},
|
},
|
||||||
"nbformat": 4,
|
"nbformat": 4,
|
||||||
|
|||||||
Reference in new issue
Block a user