first commit

.ipynb_checkpoints/Untitled-checkpoint.ipynb

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+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

1/1.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('1/input', 'r') as f:\n",
+    "    data = f.readlines()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2378066\n"
+     ]
+    }
+   ],
+   "source": [
+    "left = []\n",
+    "right = []\n",
+    "distances = []\n",
+    "for line in data:\n",
+    "    a, b = map(int, line.split())\n",
+    "    left.append(a)\n",
+    "    right.append(b)\n",
+    "\n",
+    "left = sorted(left)\n",
+    "right = sorted(right)\n",
+    "\n",
+    "for i in range(len(left)):\n",
+    "    distances.append(abs(left[i] - right[i]))\n",
+    "    \n",
+    "print(sum(distances))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#write a function that returns the amount of value existing in the 'right' list\n",
+    "def count_occurence(value):\n",
+    "    return sum([ True for x in right if x == value ])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "18934359\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(sum([count_occurence(x)*x for x in left]))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

1/input

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10/10.ipynb

@@ -0,0 +1,574 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "with open('input','r') as f:\n",
+    "    data = f.read()\n",
+    "data=data.splitlines()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_zeros(data):\n",
+    "    zeros = []\n",
+    "    for x,line in enumerate(data):\n",
+    "        for y,char in enumerate(line):\n",
+    "            if char == '0':\n",
+    "                zeros.append((x,y))\n",
+    "\n",
+    "    return zeros\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
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+       " (59, 37),\n",
+       " (59, 43),\n",
+       " (59, 50)]"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "find_zeros(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "['987672345210988321089487678943210101985430123012901212349876',\n",
+       " '890581876347809451276596521058923432876543276529874301236765',\n",
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+       " '321018978761234334578765698101234569107812301232340123543234']"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "10a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "841\n"
+     ]
+    }
+   ],
+   "source": [
+    "def recursive_check(x,y,data,stage):\n",
+    "    # foreach direction check if within bounds\n",
+    "    for x,y in [(x,y) for x,y in [(x+1,y),(x-1,y),(x,y+1),(x,y-1)] if x>=0 and x < len(data) and y>=0 and y < len(data[0])]:\n",
+    "        if int(data[x][y]) == stage:\n",
+    "           if stage == 9:\n",
+    "            yield (x,y)\n",
+    "           else:\n",
+    "            for solution in recursive_check(x,y,data,stage+1):\n",
+    "               yield solution\n",
+    "        else: \n",
+    "            continue\n",
+    "\n",
+    "\n",
+    "summ = 0\n",
+    "for zero in find_zeros(data):\n",
+    "    peaks = set(recursive_check(zero[0],zero[1],data,1))\n",
+    "    summ += len(peaks) \n",
+    "\n",
+    "print(summ)\n",
+    "       \n",
+    "    \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 10b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1875\n"
+     ]
+    }
+   ],
+   "source": [
+    "def recursive_check(x,y,data,stage):\n",
+    "    # foreach direction check if within bounds\n",
+    "    for x,y in [(x,y) for x,y in [(x+1,y),(x-1,y),(x,y+1),(x,y-1)] if x>=0 and x < len(data) and y>=0 and y < len(data[0])]:\n",
+    "        if int(data[x][y]) == stage:\n",
+    "           if stage == 9:\n",
+    "            yield (x,y)\n",
+    "           else:\n",
+    "            for solution in recursive_check(x,y,data,stage+1):\n",
+    "               yield solution\n",
+    "        else: \n",
+    "            continue\n",
+    "\n",
+    "\n",
+    "summ = 0\n",
+    "for zero in find_zeros(data):\n",
+    "    peaks = list(recursive_check(zero[0],zero[1],data,1))\n",
+    "    summ += len(peaks) \n",
+    "\n",
+    "print(summ)\n",
+    "       \n",
+    "    \n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pdf",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

10/input

@@ -0,0 +1,60 @@
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10/testinput

@@ -0,0 +1,8 @@
+89010123
+78121874
+87430965
+96549874
+45678903
+32019012
+01329801
+10456732

11/.ipynb_checkpoints/11-checkpoint.ipynb

@@ -0,0 +1,18 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

11/11.ipynb

@@ -0,0 +1,151 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 336,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input = r'''0 1 10 99 999'''\n",
+    "input = r'''125 17'''\n",
+    "input = r'''475449 2599064 213 0 2 65 5755 51149'''\n",
+    "\n",
+    "\n",
+    "stones = {int(x):1 for x in input.split()}\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import defaultdict\n",
+    "\n",
+    "def step(stones):\n",
+    "    output=defaultdict(int)\n",
+    "    for stone,count in stones.items():\n",
+    "        if stone == 0:\n",
+    "            output[1]+=count\n",
+    "        elif (tx_stone := str(stone)) and len(tx_stone) %2 == 0:\n",
+    "            half = len(tx_stone)//2\n",
+    "            left = int(tx_stone[:half])\n",
+    "            right = int(tx_stone[half:])\n",
+    "            output[left]+=count\n",
+    "            output[right]+=count\n",
+    "        else:\n",
+    "            output[stone * 2024]+=count\n",
+    "    return output\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "for i in range(75):\n",
+    "    stones=step(stones)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 269,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "228449040027793"
+      ]
+     },
+     "execution_count": 269,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sum(stones.values())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 459,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "defaultdict(<class 'int'>, {6072: 673206953446361827286, 4048: 2734962356528935214636, 14168: 1343031271242210938014, 12144: 2300399947749196772879, 32772608: 1863779202753698640740, 40: 1800617350854067786011, 48: 1963004354915731679509, 2024: 1901242329177217918652, 80: 2071514762314577986161, 96: 1909127758252913749300, 16192: 2830947128757671518126, 18216: 1268972356388161972299, 8096: 2899816988343294077917, 10120: 569045306257576076768, 1: 2887855190943409245055, 36869184: 835429087093576428724, 24579456: 1514487337123235977781, 28: 545640724430717426974, 67: 383253720369045854463, 60: 826473730693175762336, 32: 1191095444078885640165, 24: 1908139147880629965130, 57: 656448851778621933102, 94: 656448851778621838017, 56: 656448851778627848108, 3: 1022537248590681705286, 2: 4154202543052785522877, 7: 2039928642914626319453, 6: 3494049803451761028009, 77: 807841723709838053671, 26: 807841723709836079846, 8: 4299935420757677600191, 36: 362115363446705336479, 86: 362115363446702092621, 91: 362115363446699634033, 84: 362115363446704267359, 20: 1414077300163673644677, 0: 4024270438576582418162, 4: 4404541520680163316089, 9: 1927418059972380388541, 72: 443220010324135438919, 28676032: 884207592768322392473, 3277: 1227019168257705602169, 2608: 1227019168257705617679, 20482880: 374644389308688664777, 3686: 550006170363052763461, 9184: 550006170363052763461, 2457: 997052327100450699998, 9456: 997052327100450699998, 5: 864321261489050567651, 2867: 582104108096953186703, 6032: 582104108096953405172, 2048: 246636878600168153652, 2880: 246636878600168153652, 291: 1789758, 151: 342634, 849: 342634, 472: 1844850, 7644: 902465, 6480: 902465, 8717: 902465, 7728: 902465, 7827: 1013758, 104: 2102093, 277518444544: 1013758, 485: 1329398, 760: 2384941, 848: 1206102, 3490282752: 24893, 582: 978569, 912: 1136525, 383: 139159, 177: 64484, 332: 546023, 736: 924747, 514096: 1532150, 902704: 709670, 1068672: 1538929, 1036288: 1746323, 7296: 827680, 3176: 685472, 355910522880: 685472, 36459: 399206, 52640: 399206, 22940: 4557788, 82560: 4557788, 26750: 1000893, 64128: 1000893, 30806: 1830556, 25152: 1830556, 6964: 1212535, 7864: 1212535, 4825: 1661335, 2160: 1423211, 276: 80970, 338: 2639160, 630: 80970, 656: 886237, 327: 439800, 463: 309842, 899: 309842, 136: 1139416, 4294: 961302, 9280: 961302, 5336: 961302, 8832: 961302, 1190112: 1118783, 1991616: 2000995, 1866128: 1680826, 1910656: 1888411, 7097: 179997, 3584: 179997, 282893152256: 179997, 1256904: 253530, 744832: 856504, 26545: 894907, 81248: 894907, 2318662016: 617107, 2949534720: 2453816, 4576: 1106822, 8712: 253523, 409: 711184, 133: 51132, 238: 342218, 272: 215231, 316: 381339, 714: 826842, 483: 436766, 712: 2471469, 7511: 198201, 8736: 501195, 400874541056: 198201, 6235: 1342286, 1344: 1342286, 5090: 1342286, 7648: 1342286, 28757: 184489, 96352: 184489, 1341912: 1767369, 1764928: 4344696, 21384: 506160, 12672: 506160, 785312: 313055, 1230592: 447840, 4593: 258062, 4680: 258062, 30478: 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293: 2126708, 642: 1Line truncated
+      "3811\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(stones)\n",
+    "stones=step(stones)\n",
+    "    \n",
+    "print(len(stones))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 271,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "defaultdict(<class 'int'>, {2: 1, 0: 1})\n"
+     ]
+    }
+   ],
+   "source": [
+    "from collections import defaultdict\n",
+    "\n",
+    "def step(stones):\n",
+    "    output = defaultdict(int)  # Use defaultdict with int, which defaults to 0\n",
+    "    for stone, count in stones.items():  # Iterate over the dictionary of stones with their counts\n",
+    "        if stone == 0:\n",
+    "            output[1] += count  # Zero turns into 1, add the count to the 1 key\n",
+    "        elif (tx_stone := str(stone)) and len(tx_stone) % 2 == 0:\n",
+    "            half = len(tx_stone) // 2\n",
+    "            left = int(tx_stone[:half])\n",
+    "            right = int(tx_stone[half:])\n",
+    "            output[left] += count  # Add the count to the left split part\n",
+    "            output[right] += count  # Add the count to the right split part\n",
+    "        else:\n",
+    "            output[stone * 2024] += count  # Multiply by 2024 and add to the count for that stone\n",
+    "    return output\n",
+    "\n",
+    "# Example usage:\n",
+    "stones = {20: 1}  # Example input: stone values and their counts\n",
+    "result = step(stones)\n",
+    "print(result)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "pdf",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

2/input

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2023/1/testinput

@@ -0,0 +1,4 @@
+1abc2
+pqr3stu8vwx
+a1b2c3d4e5f
+treb7uchet

3/3.ipynb

@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "\"what(){mul(697,542)/>why(479,94)mul(995,893)why()]%?:]select()%}mul(408,907),{from()$&&/mul(893,282)[#%@(who()what()!~mul(313,566)@@how()$mul(964,183)]how()where():?what()>%mul(743,40)*']~+/!mul(241,491)<{]<)]from()how()'from()don't()&where()%how(216,229)how()where()!mul(35,991)when()why(610,462)> select(594,57)$}&^mul(699,136)}]?who()when(){mul(970,603) ?mul(200,732)/[:select()(mul(967,199)+select(),/!how()when()mul(521,824)#;]:+&->)}mul(473,278):$&mul(347,457)}&*why()~ when()mul(324,773)-$ mul(460,152)#-;~,when()@mul(331,186)%don't()]-mul(197,390)how()mul(774,494)/from()))how()),mul(758,549) >why()mul(485,656)where()~-mul(938,190)&mul(326,51) mul(304,567)mul(165,576)+'-]when()'+why()/mul(906,352)from(618,898)where() how()#~mul(508,347)what()when()/&^why()why()</mul(793,679)why()-}who()from(){*where(),$don't()*#+{<mul(38,430){^}why()~%from(318,733):~<mul(611,673):-#/%why()~#how()mul(339,558)<why()*:&when()[/mul(716,978)?from()@&^/&'>mul(847,535)~ #)from()what()$)/do()//)where()what();where(200,117)how();+mul(242,61)?:-?mul(371,193)%%mul(173,850)*from()why()# ,#)mul(566,907)&don't()/how()&mul(412,399)}^why()from()mul(905,46)^from(169,718)!(when()mul(920,500)*don't()who()how()what()}why()-]who()who()(mul(927,865)@select()mul(371,913)mul(254,979)-select()mul(614,684)$;,{mul(841,422)!when()^mul(292,172)/]what(),&]mul(668,298)what() mul(788,698))&mul(241,230),*mul(513,152)}*:[/mul(762,255)*/mul(199,330)how()')^mul(716,272)}#-select(196,254)-&how()*mul(181,411)@){]#%:,mul(830,669):-[>!select()who()mul(490,309):mul(597,806)who()mul(911,931)when()]<mul(877,212)+(;?~;mul(242,138)from()?(select()how()$mul(624,989)[mul(232,970)select(480,963)select()'&(>:mul(749,304)select()$who()*&$:!}mul(499,106)why()select())when(453,833)~%^don't()who()<]]>}{(mul(666,746)@&where(){do()from());why()where()#mul(436,226); what()^from()~when()*mul(333,877)&[mul(849,387)mul(846,509)$mul(690,845)where()what()-~where())mul(120,516+'[;where()- mul(671,693)]who()#/mul(151,226)'what()mul(662,390)when():don't()how()mul(586,859){who()+}*?select()*}[mul(162,392)##who()!don't()^from();select(183,354)+@#+how()mul(235,965);<['*@*&mul(836,254)#who()^,{~*&from(912,964)mul(81,63)('who()+]who()who(616,562)&[don't()-%select()>why()&:*mul(148,501)<'?don't()/'%$when()+#mul(565,716)how(551,943)~>':)mul(812,235)(who()@what()do()mul(933,530)mul(516+when(95,848):what()/~mul(685,485)why(){[<^,from()-why():mul(372,990)^mul(780,194)~(when()-$> mul(158,500)where(213,721)where()-+mul(783,720)]select()mul(830,674)-*,;^)mul(542,769)<>;@;mul(340,494)~,mul(972,343)-*{<}*why()'&@mul(995,93)}/}^&mul(632,3)~mul(151,607)'~who()~+ why()select(970,692)mul(253,471)what()}select(450,660){mul(186,635)!'from():>;@+mul(109,407)mul(231,530)who()'mul(721,360)(#{what()?mul(764,403) mul(974>mul(700,804)>:>select(108,396)-where()where()~#from()mul(618,688),<?*who()@[&(mul(862,757)?^mul(448,304)who()who())'(~when(887,857)what()+mul(761,362)@mul(937,417)when(949,74)who();why(669,288),where()%select()mul(31,324)'who()mul(910,432<<@when(148,213)^+from()who()>?*mul(786,325)'<select(){mul(216,115)mul(553,306)/what(944,865)%*?where(669,409){don't():who()/)mul(247,444)*->]who()-([mul(312select()do()from()@%mul(647,88)+!mul(920,442)where(){$mul(876,103)select()select()&<-~';#mul(658,434)\\nwhat(203,778)-)]mul(25,629)why()^$~)?why()mul(207,846)(from(560,549)select()&-]?>what()mul(782,867}(^}^mul(48,779)<$where()how(396,689)mul(623,278)}select(34,689)when(),how()%({;$mul(494,74)*from()when()mul(35,522):> &&when()mul(328?}mul(186,822)]when()how())why()mul(775,741){->%mul(812'{~;mul(202,822)-mul(282,383)what()from(340,89){mul(729,896),^-what(313,84)mul(172,196#mul(447,361)why()&*?<!mul:how()#{*->/who()(+mul(395,872)#^^{@,-mul(394,873from()%mul(988,272)(%select()!~mul(101,388)what(),how()how()$#how()*mul(551,577)%what()mul(191,793)''don't()mul(744,26)!select(){'>,mul(140,452)mul(887,632)#>}{;@^+-mul(835,39) how()+/-}*},@mul(66,401)what();why()]] %+&do(),when();:who()[select():mul(474,260)who(),{,)}why()%who()mul(126,874)}where(746,668)>mul(60,400)~#select()select()@:mul-@*%when(134,304)?how()mul(18,684)what())'&/ ,{^mul(770,406){{@*  {who()who()-mul(312,245)/>{when()why()from()^&mul(936,201)&from()-#$(mul(970,306){%from(193,334)mul(770,300)how()don't()mul(17,145)(%mul(204,15)]#!mul(592,786)+?what()*^mul(903,387);}($mul(977,422)where(136,281)mul(412,540)select()@&,mul(331,930)where()!;%why())!mul(647,169):!mul(624,260)>,^^!where()#+mul(364,706) why()[when()(?from(361,489)~?/mul(572,99){mul(162,620)select()#?'$)mul(963,810)(<'^mul(381,182)mul(154,418)(mul(307,576){;select()mul(872,424)[,{&){&/mul(542,342)&*(when()+#<mul(71,788)!!what())'mul(208,451)?mul(876,225)<(what()'mul(97,553)who();$ &&#%why()]mul(932,42)# >/>mul(29,665)$don't()?where()mul(903,998)%?select()])#;mul(660,171)who() why()>what(), <mul(34]}%where(36,389)mul(769,195)]how()'#mul(780,304)-?!' what()how()mul(86,199)-{>mul(956,616);,$,}mul(982,695)-:where()why()mul(585,888)why()where()]!&{mul(422,906)select()where(721,370)<mLine truncated
+      ]
+     },
+     "execution_count": 30,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#read lines from input and store each list of space separeted integers into left and right lists respectively.\n",
+    "with open('3/input', 'r') as f:\n",
+    "    data=f.read()\n",
+    "data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "170068701"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import re\n",
+    "mulpat = r'mul\\((\\d{1,3}),(\\d{1,3})\\)'\n",
+    "sum(int(x)*int(y) for x,y in re.findall(mulpat, data))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "78683433"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "dopat = r\"don't\\(\\).+?(do\\(\\)|$)\"\n",
+    "cleaned_data=re.sub(dopat, '', data, flags=re.DOTALL)\n",
+    "sum(int(x)*int(y) for x,y in re.findall(mulpat, cleaned_data))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

3/input

@@ -0,0 +1,6 @@
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+from()#,why()~& ;#:mul(731,521)*how()} do()mul(399,167)from()mul(71,499)how()from()%!who():;mul(730,287)why()mul(422,401)select();@+[-mul(742,851)< ^$why()mul(153,315)+%mul(206,613): ,from()[~select()mul(971,155)[%*:&{mul(239,834)'#:{'~$;mul(224; mul(163,711)$$/!select()^%do()&where()>@*from()select(719,23)#:<mul(859,6){where()why()mul(611,142)[>,how()>from()mul(874,522)'what()!from()*select()mul(950,277),<@-!*mul(35,822)>)~*mul(934,771) #mul(752,754)how()-from()+who());]:<mul(110,865)from()why()@)*where()when()mul(804,930)-mul(948,779),# when(907,369)mul(650,833)<&-(!^^+mul(986,368)}~'{!mul(549,524)[->where()/select(297,243)!%+mul(603,67)#]}what()mul(486,614)mul(761,335)! %:[;from()^when()mul(162,639)(({;%) mul(410,831)mul(74,9) [),}!!+?&mul(365,386)?do()&from()who(486,875)why()mul(545,922)*mul(333,104)where()do()~$^who(),[;mul(357,374)$}what()/from()^when()}/mul(828,346)mul(128,556))*{:from()@mul(277,303)#[^-%]how() /mul(817,849):mul(477,520)&$what()}<{]#]^mul(263,446):%when()-&how()from()[&>mul(307,210)<mul(779,78)*how()select(447,622)mul(624,455)++&&what()@*#mul(898,875),];/when()mul(463,295)who()select()why()&who()why(795,44)>]!+mul(293,549){when()~mul(478,825)&what()')%mul(233,939)%]>;>}]mul(680,156);}~mul(66,418)when()/]'? select()mul(506,752) ?select()select()%,}mul(685,266)(from()mul(354,792)~+;when()~#where(){mul(745,146)mul(926,660)%mul(721,86)~?&#?mul(964,815){when()-why()mul(333,175)mul(490,526)when()^mul(370,894)>&who()'^mul(686,63)~[?!%'select(){mul(543,91)@#mul(43,96)where()mul(278,584)~%)where()%mul(163,853)&#when()'mul(561,872)#when()where()'~don't()mul(896,297)<'>@mul(919,548) who()how()?@+when()]%(mul(691,41)$;+]&who()-**mul(272,776)}what()#why() what()who() when();mul(824,393)-@ %[^,why()do()/mul(891,874)$'<<?select()mul(843,864):%/!what()who()/{%mul(262,169)&:[mul(189,651)how()[from():,{?mul(453,774)(+how()]~-{:(&do()mul(600,585)/#don't()%*']]%-:)mul(538,508)where(508,481)how()where()*what(767,256)/mul(254,549),}@^?'/:^mul(664,632)$ ;:when()where()what(655,337)%;~mul(343,605)where()don't()from()%{what()mul(967,749)mul(982,465)!who(),mul(320,945)mul(769,926)/-)<]who() mul(26,66){who()]{}!mul(122,617):$[??when(),-why()select()mul(125,904)select()::[*mul(420,593)?&&*select()}where()@mul(810,984)'mul(789,703);$mul(228,679)?>!&@** )mul(437,39):]'mul(255,961)!what()!mul(22,237)~mul(287,360)select()how()what()}^mul(153,348){when()&)}{/{mul(8,764)how()@}mul(231,703)why()>%~!when() ^mul(418,457)select()how():?who()$when()when()mul(957,951){'where()'mul(6,320)~mul(168,639)^!mul(715,855)~select()^mul(44,209)&mul(767,449)mul(503,357)<mul(821,550)+<;from():%how()mul(76,386)}<how()@/when()mul(753,291)]how()&)from()?&what()&why()mul(956,734)mul(206,478)!how()how()>^where(),]select();mul(571,436)]-select()select()&

4/4.ipynb

@@ -0,0 +1,183 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#read lines from input and store each list of space separeted integers into left and right lists respectively.\n",
+    "with open('4/input', 'r') as f:\n",
+    "    data=f.readlines()\n",
+    "\n",
+    "data = [line.strip() for line in data]\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "421"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "horizontal = sum(row.count('XMAS') + row.count('SAMX') for row in data)\n",
+    "horizontal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "463"
+      ]
+     },
+     "execution_count": 89,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "vertical = sum(\"\".join(col).count('XMAS') + \"\".join(col).count('SAMX') for col in zip(*data))\n",
+    "vertical"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1640"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "def diagonals(matrix):\n",
+    "    np_matrix = np.array(matrix)\n",
+    "    n, m = np_matrix.shape\n",
+    "    for offset in range(-n + 1, m):  # Diagonal offsets\n",
+    "        yield np_matrix.diagonal(offset)\n",
+    "        yield np.fliplr(np_matrix).diagonal(offset)\n",
+    "\n",
+    "matrix = np.array([list(line) for line in data])\n",
+    "\n",
+    "diagonal = sum(\"\".join(diag).count('XMAS') + \"\".join(diag).count('SAMX') for diag in diagonals(matrix))\n",
+    "diagonal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 91,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2524"
+      ]
+     },
+     "execution_count": 91,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "horizontal + vertical + diagonal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pattern = np.array([\n",
+    "    [\"M\",\".\",\"M\"],\n",
+    "    [\".\",\"A\",\".\"],\n",
+    "    [\"S\",\".\",\"S\"]\n",
+    "])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ True, False,  True],\n",
+       "       [False,  True, False],\n",
+       "       [ True, False,  True]])"
+      ]
+     },
+     "execution_count": 106,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mask = pattern != '.'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 129,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "1873"
+      ]
+     },
+     "execution_count": 129,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from numpy.lib.stride_tricks import sliding_window_view\n",
+    "    \n",
+    "windows = sliding_window_view(matrix,pattern.shape)\n",
+    "count = 0\n",
+    "for i in range(4):\n",
+    "    matches = (windows == np.rot90(pattern,k=i)) | ~mask  \n",
+    "    count += np.sum(np.all(np.all(matches,axis=-1),axis=-1))\n",
+    "\n",
+    "count"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

4/input

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+
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