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Peter Norvig
GitHub
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@ -15,14 +15,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"execution_count": 2,
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"metadata": {},
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"outputs": [],
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"source": [
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"from collections import Counter, defaultdict, namedtuple, deque, abc\n",
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"from dataclasses import dataclass, field\n",
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"from itertools import permutations, combinations, cycle, chain, islice, accumulate\n",
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"from itertools import count as count_from, product as cross_product\n",
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"from itertools import takewhile, count as count_from, product as cross_product\n",
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"from typing import Iterable, Iterator, Sequence, Collection, Callable\n",
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"from statistics import mean, median\n",
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"from math import ceil, floor, factorial, gcd, log, log2, log10, sqrt, inf, atan2\n",
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@ -67,7 +67,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 17,
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -82,6 +82,8 @@
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" The first argument is either the text itself, or the day number of a text file.\"\"\"\n",
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" if isinstance(day, str) and show == 8: \n",
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" show = 0 # By default, don't show lines when parsing example text.\n",
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" if sections == None:\n",
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" sections = lambda text: [text]\n",
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" text = get_text(day)\n",
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" show_items('Puzzle input', text.splitlines(), show)\n",
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" records = mapt(parser, sections(text.rstrip()))\n",
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@ -133,7 +135,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 18,
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"execution_count": 4,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -181,7 +183,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 19,
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"execution_count": 5,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -209,12 +211,12 @@
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" \"\"\"The repr of an answer shows what happened.\"\"\"\n",
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" correct = 'correct' if self.ok else 'WRONG!!'\n",
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" expected = '' if self.ok else f'; EXPECTED: {self.solution}'\n",
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" return f'Puzzle {self.puzzle:4.1f}: {self.msecs:6.1f} msec, {correct} answer: {self.got:<15}{expected}'\n",
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" return f'Puzzle {self.puzzle:4.1f}: {self.msecs:7,.1f} msec, {correct} answer: {self.got:<15}{expected}'\n",
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"\n",
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"def summary(answers: dict):\n",
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" \"\"\"Summary report on the answers.\"\"\"\n",
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" times = [answer.msecs for answer in answers.values()]\n",
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" def stat(fn, times): return f'{fn.__name__} = {fn(times):.1f}'\n",
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" def stat(fn, times): return f'{fn.__name__} = {fn(times):,.1f}'\n",
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" stats = [stat(fn, times) for fn in (sum, mean, median, max)]\n",
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" print(f'Time in milliseconds: {\", \".join(stats)}\\n')\n",
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" for day in sorted(answers):\n",
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@ -232,7 +234,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 33,
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"execution_count": 7,
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"metadata": {},
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"outputs": [
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{
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@ -241,7 +243,7 @@
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"'+20 -30'"
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]
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},
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"execution_count": 33,
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -319,6 +321,13 @@
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" counter[item] += count\n",
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" return counter\n",
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"\n",
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"def accumulate_lists(key_value_pairs: Iterable[tuple[object, object]]) -> defaultdict:\n",
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" \"\"\"Add up all the (item, count) pairs into a Counter.\"\"\"\n",
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" dic = defaultdict(list)\n",
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" for (key, value) in key_value_pairs:\n",
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" dic[key].append(value)\n",
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" return dic\n",
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"\n",
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"def range_intersection(range1, range2) -> range:\n",
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" \"\"\"Return a range that is the intersection of these two ranges.\"\"\"\n",
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" return range(max(range1.start, range2.start), min(range1.stop, range2.stop))\n",
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@ -358,9 +367,9 @@
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" \"\"\"`map`, with the result as a list.\"\"\"\n",
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" return list(map(function, *sequences))\n",
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"\n",
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"def cat(things: Collection) -> str:\n",
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"def cat(things: Collection, sep='') -> str:\n",
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" \"\"\"Concatenate the things.\"\"\"\n",
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" return ''.join(map(str, things))\n",
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" return sep.join(map(str, things))\n",
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" \n",
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"cache = functools.lru_cache(None)\n",
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"Ø = frozenset() # empty set\n",
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@ -379,7 +388,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 21,
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"execution_count": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -446,7 +455,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 22,
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"execution_count": 9,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -524,13 +533,24 @@
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": 12,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"{}"
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]
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},
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"execution_count": 12,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"class Grid(dict):\n",
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" \"\"\"A 2D grid, implemented as a mapping of {(x, y): cell_contents}.\"\"\"\n",
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" def __init__(self, grid=(), directions=directions4, skip=(), default=None):\n",
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" def __init__(self, grid=(), directions=directions4, skip=(), default=None, size=None):\n",
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" \"\"\"Initialize one of four ways: \n",
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" `Grid({(0, 0): '#', (1, 0): '.', ...})`\n",
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" `Grid(another_grid)\n",
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@ -539,13 +559,15 @@
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" self.directions = directions\n",
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" self.skip = skip\n",
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" self.default = default\n",
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" if isinstance(grid, abc.Mapping): \n",
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" if not grid:\n",
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" pass\n",
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" elif isinstance(grid, abc.Mapping): \n",
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" self.update(grid) \n",
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" self.size = (len(cover(Xs(self))), len(cover(Ys(self))))\n",
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" self.size = size or (len(cover(Xs(self))), len(cover(Ys(self))))\n",
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" else:\n",
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" if isinstance(grid, str): \n",
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" grid = grid.splitlines()\n",
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" self.size = (max(map(len, grid)), len(grid))\n",
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" self.size = size or (max(map(len, grid)), len(grid))\n",
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" self.update({(x, y): val \n",
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" for y, row in enumerate(grid) \n",
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" for x, val in enumerate(row)\n",
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@ -628,7 +650,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -656,7 +678,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 25,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -733,7 +755,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -762,7 +784,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 27,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -777,7 +799,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 28,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -792,7 +814,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 29,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -813,7 +835,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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