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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Hello world\n",
"[31, 61, 29, 87, 82, 97, 9, 34, 67, 76]\n",
"['A', 'B', 'C', 'D', 'E']\n"
]
},
{
"ename": "TypeError",
"evalue": "'>' not supported between instances of 'str' and 'int'",
"output_type": "error",
"traceback": [
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[0;32mIn[2], line 73\u001b[0m\n\u001b[1;32m 71\u001b[0m test_existsness(\u001b[38;5;241m100\u001b[39m)\n\u001b[1;32m 72\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;18m__name__\u001b[39m \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m__main__\u001b[39m\u001b[38;5;124m\"\u001b[39m:\n\u001b[0;32m---> 73\u001b[0m \u001b[43mmain\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\n",
"Cell \u001b[0;32mIn[2], line 61\u001b[0m, in \u001b[0;36mmain\u001b[0;34m()\u001b[0m\n\u001b[1;32m 59\u001b[0m query \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(\u001b[38;5;28minput\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mYour query for item: \u001b[39m\u001b[38;5;124m\"\u001b[39m))\n\u001b[1;32m 60\u001b[0m qstring \u001b[38;5;241m=\u001b[39m \u001b[38;5;28minput\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mString item: \u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m---> 61\u001b[0m \u001b[43mbinsearch\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnarr\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mquery\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 62\u001b[0m found1 \u001b[38;5;241m=\u001b[39m linear_search(array, query)\n\u001b[1;32m 63\u001b[0m found2 \u001b[38;5;241m=\u001b[39m linear_search_while(array, query)\n",
"Cell \u001b[0;32mIn[2], line 18\u001b[0m, in \u001b[0;36mbinsearch\u001b[0;34m(arr, item)\u001b[0m\n\u001b[1;32m 16\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFound here\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 17\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m found\n\u001b[0;32m---> 18\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[43marr\u001b[49m\u001b[43m[\u001b[49m\u001b[43mindex\u001b[49m\u001b[43m]\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m>\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mitem\u001b[49m:\n\u001b[1;32m 19\u001b[0m ubound \u001b[38;5;241m=\u001b[39m index \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[1;32m 20\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m arr[index] \u001b[38;5;241m<\u001b[39m item:\n",
"\u001b[0;31mTypeError\u001b[0m: '>' not supported between instances of 'str' and 'int'"
]
}
],
"source": [
"import random\n",
"def generate_test_data(length: int, _range: tuple):\n",
" arr = []\n",
" for i in range(length):\n",
" arr.append(random.randint(int(_range[0]), int(_range[1])))\n",
" return arr\n",
"def binsearch(arr, item):\n",
" arr = sorted(arr)\n",
" print(arr)\n",
" ubound, lbound = len(arr) - 1, 0\n",
" found = False\n",
" while not found and lbound <= ubound:\n",
" index = (lbound + ubound) // 2\n",
" if arr[index] == item: \n",
" found = True\n",
" print(\"Found here\")\n",
" return found\n",
" if arr[index] > item:\n",
" ubound = index - 1\n",
" if arr[index] < item:\n",
" lbound = index + 1\n",
" print(\"not found\")\n",
" return found\n",
"\n",
"\n",
"def linear_search_while(arr: list, item):\n",
" found: bool = False\n",
" index = 0\n",
" while not found and index < len(arr):\n",
" if (arr[index] == item): \n",
" found = True\n",
" break\n",
" index += 1\n",
" return (found, index)\n",
"def linear_search(arr: list, item):\n",
" index = 0\n",
" for _item in arr:\n",
" if _item == item:\n",
" return (True, index) \n",
" index += 1\n",
" return False\n",
"def test_existsness(samples: int):\n",
" yes = 0\n",
" no = 0\n",
" for i in range(samples):\n",
" query = random.randint(0, 100)\n",
" array = generate_test_data(100, (0, 100))\n",
" found = linear_search(array, query)\n",
" if found:\n",
" yes += 1 \n",
" else:\n",
" no += 1\n",
" print(f\"In {samples} samples, {yes} match, {no} don't\")\n",
"def main():\n",
" narr = sorted([\"A\", \"B\", \"C\", \"D\", \"E\"])\n",
" print(\"Hello world\")\n",
" array = generate_test_data(10, (0, 100))\n",
" print(array)\n",
" query = int(input(\"Your query for item: \"))\n",
" qstring = input(\"String item: \")\n",
" binsearch(narr, query)\n",
" found1 = linear_search(array, query)\n",
" found2 = linear_search_while(array, query)\n",
" if found1[0]:\n",
" print(\"Found by for loop method \", found1[1]) \n",
" else: print(\"Not found.\")\n",
" if found2[0]:\n",
" print(\"Found by while loop method \", found2[1])\n",
" else: \n",
" print(\"Not found.\")\n",
" test_existsness(100)\n",
"if __name__ == \"__main__\":\n",
" main()\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm', 'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z']\n",
"100 checks passed!\n",
"['mahoylwzsf', 'oqsmmuavgz', 'glrgtvhwur', 'tmlvraonck', 'jutgjynhmg', 'qrbozldpmj', 'wepatxjctj', 'axlymmpbns', 'dieazmvcin', 'ecfxsjbjha']\n",
"['axlymmpbns', 'dieazmvcin', 'ecfxsjbjha', 'glrgtvhwur', 'jutgjynhmg', 'mahoylwzsf', 'oqsmmuavgz', 'qrbozldpmj', 'tmlvraonck', 'wepatxjctj']\n"
]
}
],
"source": [
"import random\n",
"import string\n",
"CHARS = list(string.ascii_lowercase)\n",
"print(CHARS)\n",
"def generate_test_data(length: int, _range: tuple):\n",
" arr = []\n",
" for i in range(length):\n",
" arr.append(random.randint(_range[0], _range[1]))\n",
" return arr\n",
"def bubsort(arr: list):\n",
" for i in range(len(arr)):\n",
" # print(arr)\n",
" changed = False\n",
" for j in range(len(arr) - i - 1):\n",
" if arr[j] > arr[j+1]:\n",
" swp = arr[j+1]\n",
" arr[j+1] = arr[j]\n",
" arr[j] = swp\n",
" changed = True\n",
" if not changed: return arr \n",
"def testarr_string(length: int):\n",
" arr = []\n",
" for i in range(length):\n",
" string = \"\"\n",
" for i in range(10):\n",
" string += CHARS[random.randint(0,len(CHARS) - 1)]\n",
" arr.append(string)\n",
" print(arr)\n",
" return arr\n",
"def bubsort_reliability(samples: int):\n",
" y = 0\n",
" n = 0\n",
" for _ in range(samples):\n",
" test = generate_test_data(100, (0, 100))\n",
" if bubsort(test) == sorted(test): y += 1\n",
" else: n += 1\n",
" if y == samples: print(f\"{samples} checks passed!\")\n",
"bubsort_reliability(100)\n",
"print(bubsort(testarr_string(10)))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"OH NO ITEM NOT FOUND IN LIST!!\n"
]
}
],
"source": [
"import random\n",
"def generate_test_data(length: int, _range: tuple):\n",
" arr = []\n",
" for i in range(length):\n",
" arr.append(random.randint(_range[0], _range[1]))\n",
" return arr\n",
"def linsearch(myList: list, valueToFind: int):\n",
" mindex: int = len(myList) - 1\n",
" index: int = 0\n",
" found = False\n",
" while not found and index <= mindex:\n",
" if myList[index] == valueToFind:\n",
" found = True\n",
" index += 1\n",
" if found: print(\"VALUE FOUND!!!\")\n",
" else: print(\"OH NO ITEM NOT FOUND IN LIST!!\")\n",
"def main():\n",
" inputFind = int(input(\"Value to find: \"))\n",
" linsearch(generate_test_data(10, (0, 1000)), inputFind)\n",
"if __name__ == \"__main__\":\n",
" main()\n"
]
}
],
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"kernelspec": {
"display_name": ".venv",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
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},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
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|
