chore: changing to ipynb

1 files changed, 201 insertions, 0 deletions

diff --git a/notebooks/sorting_algorithms.ipynb b/notebooks/sorting_algorithms.ipynb
new file mode 100644
index 0000000..2e6326d
--- /dev/null
+++ b/notebooks/sorting_algorithms.ipynb
@@ -0,0 +1,201 @@
+{
+ "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"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}