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{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"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": 2,
"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",
"['qibuvxrvcf', 'nmbxubyowk', 'ntszdjhhwf', 'xhjsoifdno', 'kbdwllyfmo', 'ndmngppihm', 'footfyjpfd', 'ridhoqmalu', 'nxlubshvcj', 'fjnnntfxur']\n",
"['fjnnntfxur', 'footfyjpfd', 'kbdwllyfmo', 'ndmngppihm', 'nmbxubyowk', 'ntszdjhhwf', 'nxlubshvcj', 'qibuvxrvcf', 'ridhoqmalu', 'xhjsoifdno']\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": 1,
"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"
]
}
],
"metadata": {
"kernelspec": {
"display_name": ".venv",
"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": "3.12.8"
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},
"nbformat": 4,
"nbformat_minor": 2
}
|
