autocode.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Auto Code - NLP text prediction\n",
    "### Description :\n",
    "Auto code is a NLP model that can predict python code snippets with the provided code to it. It is a LSTM (Long Short Term Memory model) with word Embedding.\n",
    "\n",
    "It is trained with 606 rows of code snippets on a Macbook M1 Pro with a Total embedding word size of 237. The major thing I have tried in the project is to make the tokenizer of tensorflow detect Special characters.\n",
    "\n",
    "Special characters are converted to texts and then are tokenized and is reversed back to symbols after prediction.\n",
    "\n",
    "### Input size\n",
    "(91,)\n",
    "\n",
    "#### Training with more data:\n",
    "To train the model with more data just add more code snippets in each cell of dataset.csv or add more data as python list in dataprocessing.ipynb file and run code to append data to csv file\n",
    "\n",
    "#### Frameworks and Languages used\n",
    "* Tensorflow\n",
    "* Pandas\n",
    "* Numpy\n",
    "* Matlab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Modules Required for training and data processing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 508,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Modules\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from tensorflow.keras.preprocessing.text import Tokenizer\n",
    "from tensorflow.keras.utils import pad_sequences\n",
    "from tensorflow.keras.utils import to_categorical\n",
    "from tensorflow.keras.layers import InputLayer,Embedding,Bidirectional,LSTM,Dense\n",
    "from tensorflow.keras import Sequential\n",
    "from tensorflow.keras.optimizers.legacy import Adam\n",
    "from tensorflow.keras.losses import CategoricalCrossentropy\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data in dataset.csv file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=pd.read_csv('./dataset.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Code</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>print(\"Hello, World!\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>def add_numbers(a, b): return a + b</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>for i in range(5): print(i)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>class MyClass:\\n    def __init__(self): pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>my_list = [1, 2, 3, 4, 5]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>600</th>\n",
       "      <td>result = \"Hello, World!\"[::-1]</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>601</th>\n",
       "      <td>result = \"Hello, World!\".index(\"World\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>602</th>\n",
       "      <td>result = \"Hello, World!\".replace(\"Hello\", \"Hi\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>result = \"Hello, World!\".find(\"World\")</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>604</th>\n",
       "      <td>result = \"Hello, World!\".count(\"l\")</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>605 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                Code\n",
       "0                             print(\"Hello, World!\")\n",
       "1                def add_numbers(a, b): return a + b\n",
       "2                        for i in range(5): print(i)\n",
       "3       class MyClass:\\n    def __init__(self): pass\n",
       "4                          my_list = [1, 2, 3, 4, 5]\n",
       "..                                               ...\n",
       "600                   result = \"Hello, World!\"[::-1]\n",
       "601          result = \"Hello, World!\".index(\"World\")\n",
       "602  result = \"Hello, World!\".replace(\"Hello\", \"Hi\")\n",
       "603           result = \"Hello, World!\".find(\"World\")\n",
       "604              result = \"Hello, World!\".count(\"l\")\n",
       "\n",
       "[605 rows x 1 columns]"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [],
   "source": [
    "codes=dataset['Code'].to_numpy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Array of data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['print(\"Hello, World!\")', 'def add_numbers(a, b): return a + b',\n",
       "       'for i in range(5): print(i)',\n",
       "       'class MyClass:\\n    def __init__(self): pass',\n",
       "       'my_list = [1, 2, 3, 4, 5]',\n",
       "       'result = [x for x in my_list if x % 2 == 0]',\n",
       "       'try:\\n    result = 10 / 0\\nexcept ZeroDivisionError:\\n    result = \"Error\"',\n",
       "       'import math\\nresult = math.sqrt(25)',\n",
       "       'def greet(name=\"User\"): return f\"Hello, {name}!\"',\n",
       "       'print(f\"The sum of 3 and 5 is {3 + 5}\")',\n",
       "       'file_path = \"example.txt\"\\nwith open(file_path, \"r\") as file:\\n    content = file.read()',\n",
       "       'def factorial(n):\\n    return 1 if n == 0 else n * factorial(n-1)',\n",
       "       'my_dict = {\"name\": \"John\", \"age\": 25}',\n",
       "       'class Dog:\\n    def bark(self): print(\"Woof!\")',\n",
       "       'result = list(map(lambda x: x * 2, [1, 2, 3, 4]))',\n",
       "       'def square(x): return x ** 2',\n",
       "       'numbers = [1, 2, 3, 4, 5]\\nsquared_numbers = list(map(square, numbers))',\n",
       "       'def is_even(x): return x % 2 == 0',\n",
       "       'even_numbers = list(filter(is_even, [1, 2, 3, 4, 5]))',\n",
       "       'import random\\nrandom_number = random.randint(1, 10)',\n",
       "       'try:\\n    result = int(\"abc\")\\nexcept ValueError:\\n    result = \"Invalid input\"',\n",
       "       'class Circle:\\n    def __init__(self, radius): self.radius = radius',\n",
       "       'from datetime import datetime\\ncurrent_time = datetime.now()',\n",
       "       'def power(x, n=2): return x ** n',\n",
       "       'colors = [\"red\", \"green\", \"blue\"]\\nfor color in colors: print(color)',\n",
       "       'def add(*args): return sum(args)',\n",
       "       'def greet_all(*names): return [f\"Hello, {name}!\" for name in names]',\n",
       "       'class Car:\\n    def __init__(self, make, model): self.make = make\\nself.model = model',\n",
       "       'result = any([True, False, False])',\n",
       "       'result = all([True, True, True])',\n",
       "       'string_length = len(\"Hello, World!\")',\n",
       "       'result = max([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = min([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'import json\\njson_data = \\'{\"name\": \"John\", \"age\": 25}\\'\\ndata = json.loads(json_data)',\n",
       "       'import os\\nfile_size = os.path.getsize(\"example.txt\")',\n",
       "       'result = list(range(1, 10, 2))',\n",
       "       'from collections import Counter\\nword_counts = Counter([\"apple\", \"banana\", \"apple\", \"orange\"])',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'def is_prime(n):\\n    if n < 2: return False\\n    for i in range(2, int(n**0.5) + 1):\\n        if n % i == 0: return False\\n    return True',\n",
       "       'prime_numbers = list(filter(is_prime, range(1, 20)))',\n",
       "       'def add(a, b): return a + b\\nresult = add(*[3, 5])',\n",
       "       'import time\\nstart_time = time.time()\\ntime.sleep(2)\\nelapsed_time = time.time() - start_time',\n",
       "       'result = round(3.14159, 2)', 'my_set = {1, 2, 3, 4, 5}',\n",
       "       'unique_numbers = list(set([1, 2, 3, 3, 4, 4, 5, 5]))',\n",
       "       'result = bin(10)', 'result = hex(255)', 'result = oct(8)',\n",
       "       'def concatenate(*args, delimiter=\", \"): return delimiter.join(args)',\n",
       "       'result = chr(65)', 'result = ord(\"A\")',\n",
       "       'def square_and_cube(x): return x**2, x**3',\n",
       "       'squared, cubed = square_and_cube(2)', 'result = divmod(10, 3)',\n",
       "       'result = eval(\"2 + 3\")',\n",
       "       'def multiply(a, b): return a * b\\nresult = multiply(**{\"a\": 3, \"b\": 4})',\n",
       "       'result = pow(2, 3)', 'result = bytearray([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")',\n",
       "       'from itertools import combinations\\ncombinations_result = list(combinations([1, 2, 3], 2))',\n",
       "       'import hashlib\\nhashed_value = hashlib.md5(b\"Hello\").hexdigest()',\n",
       "       'result = isinstance(42, int)', 'result = type(\"Hello\")',\n",
       "       'from functools import partial\\nmultiply_by_two = partial(multiply, b=2)',\n",
       "       'import re\\npattern = re.compile(r\"\\\\d+\")\\nresult = pattern.match(\"123\")',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = \"Hello, World!\"[::2]', 'result = [i for i in range(10)]',\n",
       "       'result = [x**2 for x in range(5)]',\n",
       "       'result = {x: x**2 for x in range(5)}',\n",
       "       'result = (x for x in range(5))', 'result = sum([1, 2, 3, 4, 5])',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])',\n",
       "       'result = list(zip([1, 2, 3], [\"one\", \"two\", \"three\"]))',\n",
       "       'result = list(enumerate([\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'import functools\\nresult = functools.reduce(lambda x, y: x * y, [1, 2, 3, 4])',\n",
       "       'result = list(map(lambda x: x.upper(), [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'result = list(filter(lambda x: \"a\" in x, [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'from math import pi\\nresult = round(pi, 2)', 'result = abs(-5)',\n",
       "       'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = \"Hello, World!\"[::2]', 'result = [i for i in range(10)]',\n",
       "       'result = [x**2 for x in range(5)]',\n",
       "       'result = {x: x**2 for x in range(5)}',\n",
       "       'result = (x for x in range(5))', 'result = sum([1, 2, 3, 4, 5])',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])',\n",
       "       'result = list(zip([1, 2, 3], [\"one\", \"two\", \"three\"]))',\n",
       "       'result = list(enumerate([\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'import functools\\nresult = functools.reduce(lambda x, y: x * y, [1, 2, 3, 4])',\n",
       "       'result = list(map(lambda x: x.upper(), [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'result = list(filter(lambda x: \"a\" in x, [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'from math import pi\\nresult = round(pi, 2)', 'result = abs(-5)',\n",
       "       'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = \"Hello, World!\"[::2]', 'result = [i for i in range(10)]',\n",
       "       'result = [x**2 for x in range(5)]',\n",
       "       'result = {x: x**2 for x in range(5)}',\n",
       "       'result = (x for x in range(5))', 'result = sum([1, 2, 3, 4, 5])',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])',\n",
       "       'result = list(zip([1, 2, 3], [\"one\", \"two\", \"three\"]))',\n",
       "       'result = list(enumerate([\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'import functools\\nresult = functools.reduce(lambda x, y: x * y, [1, 2, 3, 4])',\n",
       "       'result = list(map(lambda x: x.upper(), [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'result = list(filter(lambda x: \"a\" in x, [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'from math import pi\\nresult = round(pi, 2)', 'result = abs(-5)',\n",
       "       'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = \"Hello, World!\"[::2]', 'result = [i for i in range(10)]',\n",
       "       'result = [x**2 for x in range(5)]',\n",
       "       'result = {x: x**2 for x in range(5)}',\n",
       "       'result = (x for x in range(5))', 'result = sum([1, 2, 3, 4, 5])',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])',\n",
       "       'result = list(zip([1, 2, 3], [\"one\", \"two\", \"three\"]))',\n",
       "       'result = list(enumerate([\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'import functools\\nresult = functools.reduce(lambda x, y: x * y, [1, 2, 3, 4])',\n",
       "       'result = list(map(lambda x: x.upper(), [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'result = list(filter(lambda x: \"a\" in x, [\"apple\", \"banana\", \"cherry\"]))',\n",
       "       'from math import pi\\nresult = round(pi, 2)', 'result = abs(-5)',\n",
       "       'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")',\n",
       "       'result = any([False, False, True])',\n",
       "       'result = all([True, True, True])', 'result = round(123.456, 1)',\n",
       "       'result = abs(-5)', 'result = max(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = min(3, 1, 4, 1, 5, 9, 2, 6)',\n",
       "       'result = sorted([3, 1, 4, 1, 5, 9, 2, 6], reverse=True)',\n",
       "       'result = reversed([3, 1, 4, 1, 5, 9, 2, 6])',\n",
       "       'result = sum(range(1, 101))', 'result = len([1, 2, 3, 4, 5])',\n",
       "       'result = list(range(1, 11))',\n",
       "       'result = list(filter(lambda x: x % 2 == 0, range(1, 11)))',\n",
       "       'result = [i**2 for i in range(10) if i % 2 == 0]',\n",
       "       'result = round(123.456, 1)', 'result = divmod(10, 3)',\n",
       "       'result = hash(\"Hello, World!\")',\n",
       "       'result = bytearray([65, 66, 67])', 'result = bytes([65, 66, 67])',\n",
       "       'result = memoryview(b\"Hello\")', 'result = complex(1, 2)',\n",
       "       'result = format(123456789, \",\")',\n",
       "       'result = \"{:.2f}\".format(3.14159)',\n",
       "       'result = \"Hello, World!\".lower()',\n",
       "       'result = \"   Hello, World!   \".strip()',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".startswith(\"Hello\")',\n",
       "       'result = \"Hello, World!\".endswith(\"World!\")',\n",
       "       'result = \"Hello, World!\".upper()',\n",
       "       'result = \"Hello, World!\".split(\", \")',\n",
       "       'result = \" \".join([\"Hello\", \"World!\"])',\n",
       "       'result = len(\"Hello, World!\")', 'result = \"Python\".center(10)',\n",
       "       'result = \"123\".isdigit()', 'result = \"abc\".isalpha()',\n",
       "       'result = \"123\".isnumeric()', 'result = \"Python\".count(\"P\")',\n",
       "       'result = \"Hello, {name}!\".format(name=\"John\")',\n",
       "       'result = f\"2 + 3 = {2 + 3}\"', 'result = \"Hello, World!\"[0]',\n",
       "       'result = \"Hello, World!\"[-1]', 'result = \"Hello, World!\"[7:12]',\n",
       "       'result = \"Hello, World!\"[::-1]',\n",
       "       'result = \"Hello, World!\".index(\"World\")',\n",
       "       'result = \"Hello, World!\".replace(\"Hello\", \"Hi\")',\n",
       "       'result = \"Hello, World!\".find(\"World\")',\n",
       "       'result = \"Hello, World!\".count(\"l\")'], dtype=object)"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(605,)"
      ]
     },
     "execution_count": 82,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codes.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Dictionary used to name special characters in the keyboard for Tokenizer to tokenize it as text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "#symbols variable\n",
    "symbols={\n",
    "    '!':'excl',\n",
    "    '@':'at',\n",
    "    '#':'hasht',\n",
    "    '$':'dlr',\n",
    "    '%':'per',\n",
    "    '^':'pwr',\n",
    "    '&':'amp',\n",
    "    '*':'mul',\n",
    "    '(':'paropn',\n",
    "    ')':'parcls',\n",
    "    '_':'underscr',\n",
    "    '-':'mis',\n",
    "    '+':'pls',\n",
    "    '=':'eql',\n",
    "    '{':'curopn',\n",
    "    '}':'curcls',\n",
    "    '[':'sqropn',\n",
    "    ']':'sqrcls',\n",
    "    '|':'br',\n",
    "    \"/\":'lftslash',\n",
    "    \":\":'cln',\n",
    "    ';':'semicln',\n",
    "    '\"':'dblqut',\n",
    "    \"'\":'qut',\n",
    "    \"<\":\"lsthn\",\n",
    "    \">\":\"rgtthn\",\n",
    "    \",\":\"com\",\n",
    "    \".\":\"dot\",\n",
    "    \"?\":\"qustn\",\n",
    "    \"~\":\"tld\",\n",
    "    \"`\":'apost',\n",
    "    \"\\n\":\"nwline\",\n",
    "    \"\\\\\":'bkslash',\n",
    "    \"\\t\":\"tb\",\n",
    "    \"\\'\":\"sglquote\",\n",
    "    \"\\\"\":\"dblquote\",\n",
    "    \"\\b\":'bkspace',\n",
    "    '\\f':'fmfeed',\n",
    "    \"\\r\":'carreturn',\n",
    "    \" \":\"space\"\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Symbols:  {'!': 'excl', '@': 'at', '#': 'hasht', '$': 'dlr', '%': 'per', '^': 'pwr', '&': 'amp', '*': 'mul', '(': 'paropn', ')': 'parcls', '_': 'underscr', '-': 'mis', '+': 'pls', '=': 'eql', '{': 'curopn', '}': 'curcls', '[': 'sqropn', ']': 'sqrcls', '|': 'br', '/': 'lftslash', ':': 'cln', ';': 'semicln', '\"': 'dblquote', \"'\": 'sglquote', '<': 'lsthn', '>': 'rgtthn', ',': 'com', '.': 'dot', '?': 'qustn', '~': 'tld', '`': 'apost', '\\n': 'nwline', '\\\\': 'bkslash', '\\t': 'tb', '\\x08': 'bkspace', '\\x0c': 'fmfeed', '\\r': 'carreturn', ' ': 'space'}\n"
     ]
    }
   ],
   "source": [
    "print(\"Symbols: \",symbols)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Funtion used to convert all special characters to strings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Symbols to String function\n",
    "def symbols_string(symbols_dict,sentences):\n",
    "    return_lst=[]\n",
    "    keys=list(symbols_dict.keys())\n",
    "    values=list(symbols_dict.values())\n",
    "    for sentence in sentences:\n",
    "        chars=[char for char in sentence]\n",
    "        for char in chars:\n",
    "            if char in keys:\n",
    "                char_index=chars.index(char)\n",
    "                key_index=keys.index(char)\n",
    "                chars[char_index]=\" \"+values[key_index]+\" \"\n",
    "        string_sentence=\"\".join(chars)\n",
    "        return_lst.append(string_sentence)\n",
    "    return_lst=np.array(return_lst)\n",
    "    return return_lst"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "codes=symbols_string(symbols_dict=symbols,sentences=codes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Codes snippent after special characters to text conversion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['print paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'def space add underscr numbers paropn a com  space b parcls  cln  space return space a space  pls  space b',\n",
       "       'for space i space in space range paropn 5 parcls  cln  space print paropn i parcls ',\n",
       "       'class space MyClass cln  nwline  space  space  space  space def space  underscr  underscr init underscr  underscr  paropn self parcls  cln  space pass',\n",
       "       'my underscr list space  eql  space  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls ',\n",
       "       'result space  eql  space  sqropn x space for space x space in space my underscr list space if space x space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'try cln  nwline  space  space  space  space result space  eql  space 10 space  lftslash  space 0 nwline except space ZeroDivisionError cln  nwline  space  space  space  space result space  eql  space  dblquote Error dblquote ',\n",
       "       'import space math nwline result space  eql  space math dot sqrt paropn 25 parcls ',\n",
       "       'def space greet paropn name eql  dblquote User dblquote  parcls  cln  space return space f dblquote Hello com  space  curopn name curcls  excl  dblquote ',\n",
       "       'print paropn f dblquote The space sum space of space 3 space and space 5 space is space  curopn 3 space  pls  space 5 curcls  dblquote  parcls ',\n",
       "       'file underscr path space  eql  space  dblquote example dot txt dblquote  nwline with space open paropn file underscr path com  space  dblquote r dblquote  parcls  space as space file cln  nwline  space  space  space  space content space  eql  space file dot read paropn  parcls ',\n",
       "       'def space factorial paropn n parcls  cln  nwline  space  space  space  space return space 1 space if space n space  eql  eql  space 0 space else space n space  mul  space factorial paropn n mis 1 parcls ',\n",
       "       'my underscr dict space  eql  space  curopn  dblquote name dblquote  cln  space  dblquote John dblquote  com  space  dblquote age dblquote  cln  space 25 curcls ',\n",
       "       'class space Dog cln  nwline  space  space  space  space def space bark paropn self parcls  cln  space print paropn  dblquote Woof excl  dblquote  parcls ',\n",
       "       'result space  eql  space list paropn map paropn lambda space x cln  space x space  mul  space 2 com  space  sqropn 1 com  space 2 com  space 3 com  space 4 sqrcls  parcls  parcls ',\n",
       "       'def space square paropn x parcls  cln  space return space x space  mul  mul  space 2',\n",
       "       'numbers space  eql  space  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  nwline squared underscr numbers space  eql  space list paropn map paropn square com  space numbers parcls  parcls ',\n",
       "       'def space is underscr even paropn x parcls  cln  space return space x space  per  space 2 space  eql  eql  space 0',\n",
       "       'even underscr numbers space  eql  space list paropn filter paropn is underscr even com  space  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls  parcls ',\n",
       "       'import space random nwline random underscr number space  eql  space random dot randint paropn 1 com  space 10 parcls ',\n",
       "       'try cln  nwline  space  space  space  space result space  eql  space int paropn  dblquote abc dblquote  parcls  nwline except space ValueError cln  nwline  space  space  space  space result space  eql  space  dblquote Invalid space input dblquote ',\n",
       "       'class space Circle cln  nwline  space  space  space  space def space  underscr  underscr init underscr  underscr  paropn self com  space radius parcls  cln  space self dot radius space  eql  space radius',\n",
       "       'from space datetime space import space datetime nwline current underscr time space  eql  space datetime dot now paropn  parcls ',\n",
       "       'def space power paropn x com  space n eql 2 parcls  cln  space return space x space  mul  mul  space n',\n",
       "       'colors space  eql  space  sqropn  dblquote red dblquote  com  space  dblquote green dblquote  com  space  dblquote blue dblquote  sqrcls  nwline for space color space in space colors cln  space print paropn color parcls ',\n",
       "       'def space add paropn  mul args parcls  cln  space return space sum paropn args parcls ',\n",
       "       'def space greet underscr all paropn  mul names parcls  cln  space return space  sqropn f dblquote Hello com  space  curopn name curcls  excl  dblquote  space for space name space in space names sqrcls ',\n",
       "       'class space Car cln  nwline  space  space  space  space def space  underscr  underscr init underscr  underscr  paropn self com  space make com  space model parcls  cln  space self dot make space  eql  space make nwline self dot model space  eql  space model',\n",
       "       'result space  eql  space any paropn  sqropn True com  space False com  space False sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'string underscr length space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space max paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space min paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'import space json nwline json underscr data space  eql  space  sglquote  curopn  dblquote name dblquote  cln  space  dblquote John dblquote  com  space  dblquote age dblquote  cln  space 25 curcls  sglquote  nwline data space  eql  space json dot loads paropn json underscr data parcls ',\n",
       "       'import space os nwline file underscr size space  eql  space os dot path dot getsize paropn  dblquote example dot txt dblquote  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 10 com  space 2 parcls  parcls ',\n",
       "       'from space collections space import space Counter nwline word underscr counts space  eql  space Counter paropn  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote apple dblquote  com  space  dblquote orange dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'def space is underscr prime paropn n parcls  cln  nwline  space  space  space  space if space n space  lsthn  space 2 cln  space return space False nwline  space  space  space  space for space i space in space range paropn 2 com  space int paropn n mul  mul 0 dot 5 parcls  space  pls  space 1 parcls  cln  nwline  space  space  space  space  space  space  space  space if space n space  per  space i space  eql  eql  space 0 cln  space return space False nwline  space  space  space  space return space True',\n",
       "       'prime underscr numbers space  eql  space list paropn filter paropn is underscr prime com  space range paropn 1 com  space 20 parcls  parcls  parcls ',\n",
       "       'def space add paropn a com  space b parcls  cln  space return space a space  pls  space b nwline result space  eql  space add paropn  mul  sqropn 3 com  space 5 sqrcls  parcls ',\n",
       "       'import space time nwline start underscr time space  eql  space time dot time paropn  parcls  nwline time dot sleep paropn 2 parcls  nwline elapsed underscr time space  eql  space time dot time paropn  parcls  space  mis  space start underscr time',\n",
       "       'result space  eql  space round paropn 3 dot 14159 com  space 2 parcls ',\n",
       "       'my underscr set space  eql  space  curopn 1 com  space 2 com  space 3 com  space 4 com  space 5 curcls ',\n",
       "       'unique underscr numbers space  eql  space list paropn set paropn  sqropn 1 com  space 2 com  space 3 com  space 3 com  space 4 com  space 4 com  space 5 com  space 5 sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space bin paropn 10 parcls ',\n",
       "       'result space  eql  space hex paropn 255 parcls ',\n",
       "       'result space  eql  space oct paropn 8 parcls ',\n",
       "       'def space concatenate paropn  mul args com  space delimiter eql  dblquote  com  space  dblquote  parcls  cln  space return space delimiter dot join paropn args parcls ',\n",
       "       'result space  eql  space chr paropn 65 parcls ',\n",
       "       'result space  eql  space ord paropn  dblquote A dblquote  parcls ',\n",
       "       'def space square underscr and underscr cube paropn x parcls  cln  space return space x mul  mul 2 com  space x mul  mul 3',\n",
       "       'squared com  space cubed space  eql  space square underscr and underscr cube paropn 2 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space eval paropn  dblquote 2 space  pls  space 3 dblquote  parcls ',\n",
       "       'def space multiply paropn a com  space b parcls  cln  space return space a space  mul  space b nwline result space  eql  space multiply paropn  mul  mul  curopn  dblquote a dblquote  cln  space 3 com  space  dblquote b dblquote  cln  space 4 curcls  parcls ',\n",
       "       'result space  eql  space pow paropn 2 com  space 3 parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'from space itertools space import space combinations nwline combinations underscr result space  eql  space list paropn combinations paropn  sqropn 1 com  space 2 com  space 3 sqrcls  com  space 2 parcls  parcls ',\n",
       "       'import space hashlib nwline hashed underscr value space  eql  space hashlib dot md5 paropn b dblquote Hello dblquote  parcls  dot hexdigest paropn  parcls ',\n",
       "       'result space  eql  space isinstance paropn 42 com  space int parcls ',\n",
       "       'result space  eql  space type paropn  dblquote Hello dblquote  parcls ',\n",
       "       'from space functools space import space partial nwline multiply underscr by underscr two space  eql  space partial paropn multiply com  space b eql 2 parcls ',\n",
       "       'import space re nwline pattern space  eql  space re dot compile paropn r dblquote  bkslash d pls  dblquote  parcls  nwline result space  eql  space pattern dot match paropn  dblquote 123 dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln 2 sqrcls ',\n",
       "       'result space  eql  space  sqropn i space for space i space in space range paropn 10 parcls  sqrcls ',\n",
       "       'result space  eql  space  sqropn x mul  mul 2 space for space x space in space range paropn 5 parcls  sqrcls ',\n",
       "       'result space  eql  space  curopn x cln  space x mul  mul 2 space for space x space in space range paropn 5 parcls  curcls ',\n",
       "       'result space  eql  space  paropn x space for space x space in space range paropn 5 parcls  parcls ',\n",
       "       'result space  eql  space sum paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn zip paropn  sqropn 1 com  space 2 com  space 3 sqrcls  com  space  sqropn  dblquote one dblquote  com  space  dblquote two dblquote  com  space  dblquote three dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn enumerate paropn  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'import space functools nwline result space  eql  space functools dot reduce paropn lambda space x com  space y cln  space x space  mul  space y com  space  sqropn 1 com  space 2 com  space 3 com  space 4 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn map paropn lambda space x cln  space x dot upper paropn  parcls  com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space  dblquote a dblquote  space in space x com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'from space math space import space pi nwline result space  eql  space round paropn pi com  space 2 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln 2 sqrcls ',\n",
       "       'result space  eql  space  sqropn i space for space i space in space range paropn 10 parcls  sqrcls ',\n",
       "       'result space  eql  space  sqropn x mul  mul 2 space for space x space in space range paropn 5 parcls  sqrcls ',\n",
       "       'result space  eql  space  curopn x cln  space x mul  mul 2 space for space x space in space range paropn 5 parcls  curcls ',\n",
       "       'result space  eql  space  paropn x space for space x space in space range paropn 5 parcls  parcls ',\n",
       "       'result space  eql  space sum paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn zip paropn  sqropn 1 com  space 2 com  space 3 sqrcls  com  space  sqropn  dblquote one dblquote  com  space  dblquote two dblquote  com  space  dblquote three dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn enumerate paropn  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'import space functools nwline result space  eql  space functools dot reduce paropn lambda space x com  space y cln  space x space  mul  space y com  space  sqropn 1 com  space 2 com  space 3 com  space 4 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn map paropn lambda space x cln  space x dot upper paropn  parcls  com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space  dblquote a dblquote  space in space x com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'from space math space import space pi nwline result space  eql  space round paropn pi com  space 2 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln 2 sqrcls ',\n",
       "       'result space  eql  space  sqropn i space for space i space in space range paropn 10 parcls  sqrcls ',\n",
       "       'result space  eql  space  sqropn x mul  mul 2 space for space x space in space range paropn 5 parcls  sqrcls ',\n",
       "       'result space  eql  space  curopn x cln  space x mul  mul 2 space for space x space in space range paropn 5 parcls  curcls ',\n",
       "       'result space  eql  space  paropn x space for space x space in space range paropn 5 parcls  parcls ',\n",
       "       'result space  eql  space sum paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn zip paropn  sqropn 1 com  space 2 com  space 3 sqrcls  com  space  sqropn  dblquote one dblquote  com  space  dblquote two dblquote  com  space  dblquote three dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn enumerate paropn  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'import space functools nwline result space  eql  space functools dot reduce paropn lambda space x com  space y cln  space x space  mul  space y com  space  sqropn 1 com  space 2 com  space 3 com  space 4 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn map paropn lambda space x cln  space x dot upper paropn  parcls  com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space  dblquote a dblquote  space in space x com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'from space math space import space pi nwline result space  eql  space round paropn pi com  space 2 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln 2 sqrcls ',\n",
       "       'result space  eql  space  sqropn i space for space i space in space range paropn 10 parcls  sqrcls ',\n",
       "       'result space  eql  space  sqropn x mul  mul 2 space for space x space in space range paropn 5 parcls  sqrcls ',\n",
       "       'result space  eql  space  curopn x cln  space x mul  mul 2 space for space x space in space range paropn 5 parcls  curcls ',\n",
       "       'result space  eql  space  paropn x space for space x space in space range paropn 5 parcls  parcls ',\n",
       "       'result space  eql  space sum paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn zip paropn  sqropn 1 com  space 2 com  space 3 sqrcls  com  space  sqropn  dblquote one dblquote  com  space  dblquote two dblquote  com  space  dblquote three dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn enumerate paropn  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'import space functools nwline result space  eql  space functools dot reduce paropn lambda space x com  space y cln  space x space  mul  space y com  space  sqropn 1 com  space 2 com  space 3 com  space 4 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn map paropn lambda space x cln  space x dot upper paropn  parcls  com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space  dblquote a dblquote  space in space x com  space  sqropn  dblquote apple dblquote  com  space  dblquote banana dblquote  com  space  dblquote cherry dblquote  sqrcls  parcls  parcls ',\n",
       "       'from space math space import space pi nwline result space  eql  space round paropn pi com  space 2 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls ',\n",
       "       'result space  eql  space any paropn  sqropn False com  space False com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space all paropn  sqropn True com  space True com  space True sqrcls  parcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space abs paropn  mis 5 parcls ',\n",
       "       'result space  eql  space max paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space min paropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 parcls ',\n",
       "       'result space  eql  space sorted paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  com  space reverse eql True parcls ',\n",
       "       'result space  eql  space reversed paropn  sqropn 3 com  space 1 com  space 4 com  space 1 com  space 5 com  space 9 com  space 2 com  space 6 sqrcls  parcls ',\n",
       "       'result space  eql  space sum paropn range paropn 1 com  space 101 parcls  parcls ',\n",
       "       'result space  eql  space len paropn  sqropn 1 com  space 2 com  space 3 com  space 4 com  space 5 sqrcls  parcls ',\n",
       "       'result space  eql  space list paropn range paropn 1 com  space 11 parcls  parcls ',\n",
       "       'result space  eql  space list paropn filter paropn lambda space x cln  space x space  per  space 2 space  eql  eql  space 0 com  space range paropn 1 com  space 11 parcls  parcls  parcls ',\n",
       "       'result space  eql  space  sqropn i mul  mul 2 space for space i space in space range paropn 10 parcls  space if space i space  per  space 2 space  eql  eql  space 0 sqrcls ',\n",
       "       'result space  eql  space round paropn 123 dot 456 com  space 1 parcls ',\n",
       "       'result space  eql  space divmod paropn 10 com  space 3 parcls ',\n",
       "       'result space  eql  space hash paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space bytearray paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space bytes paropn  sqropn 65 com  space 66 com  space 67 sqrcls  parcls ',\n",
       "       'result space  eql  space memoryview paropn b dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space complex paropn 1 com  space 2 parcls ',\n",
       "       'result space  eql  space format paropn 123456789 com  space  dblquote  com  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  curopn  cln  dot 2f curcls  dblquote  dot format paropn 3 dot 14159 parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot lower paropn  parcls ',\n",
       "       'result space  eql  space  dblquote  space  space  space Hello com  space World excl  space  space  space  dblquote  dot strip paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot startswith paropn  dblquote Hello dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot endswith paropn  dblquote World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot upper paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot split paropn  dblquote  com  space  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote  space  dblquote  dot join paropn  sqropn  dblquote Hello dblquote  com  space  dblquote World excl  dblquote  sqrcls  parcls ',\n",
       "       'result space  eql  space len paropn  dblquote Hello com  space World excl  dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot center paropn 10 parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isdigit paropn  parcls ',\n",
       "       'result space  eql  space  dblquote abc dblquote  dot isalpha paropn  parcls ',\n",
       "       'result space  eql  space  dblquote 123 dblquote  dot isnumeric paropn  parcls ',\n",
       "       'result space  eql  space  dblquote Python dblquote  dot count paropn  dblquote P dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space  curopn name curcls  excl  dblquote  dot format paropn name eql  dblquote John dblquote  parcls ',\n",
       "       'result space  eql  space f dblquote 2 space  pls  space 3 space  eql  space  curopn 2 space  pls  space 3 curcls  dblquote ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 0 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn 7 cln 12 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  sqropn  cln  cln  mis 1 sqrcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot index paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot replace paropn  dblquote Hello dblquote  com  space  dblquote Hi dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot find paropn  dblquote World dblquote  parcls ',\n",
       "       'result space  eql  space  dblquote Hello com  space World excl  dblquote  dot count paropn  dblquote l dblquote  parcls '],\n",
       "      dtype='<U508')"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "codes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Tokenizing with Tensoflow Tokenizer class"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "code_tokenizer=Tokenizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "code_tokenizer.fit_on_texts(codes)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Token words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [],
   "source": [
    "word_index=code_tokenizer.word_index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "total_words=len(word_index)+1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Word index:  {'space': 1, 'dblquote': 2, 'com': 3, 'eql': 4, 'paropn': 5, 'parcls': 6, 'result': 7, 'dot': 8, 'hello': 9, 'world': 10, 'excl': 11, '1': 12, 'sqropn': 13, 'sqrcls': 14, '2': 15, '3': 16, 'cln': 17, '5': 18, 'x': 19, '4': 20, 'range': 21, 'mul': 22, 'true': 23, 'underscr': 24, 'nwline': 25, 'list': 26, '9': 27, '6': 28, 'curopn': 29, 'curcls': 30, 'i': 31, '10': 32, '123': 33, '0': 34, 'in': 35, 'mis': 36, 'for': 37, 'format': 38, 'pls': 39, 'name': 40, 'false': 41, 'per': 42, 'lambda': 43, 'len': 44, '65': 45, 'replace': 46, 'hi': 47, 'find': 48, 'python': 49, 'count': 50, 'round': 51, '66': 52, '67': 53, 'b': 54, '11': 55, 'import': 56, 'def': 57, 'sum': 58, 'filter': 59, '456': 60, 'return': 61, 'upper': 62, 'if': 63, 'f': 64, 'apple': 65, 'john': 66, 'banana': 67, 'a': 68, 'abc': 69, 'all': 70, 'join': 71, 'cherry': 72, 'any': 73, 'max': 74, 'min': 75, 'sorted': 76, 'reversed': 77, '14159': 78, 'divmod': 79, 'bytearray': 80, 'memoryview': 81, 'lower': 82, 'strip': 83, 'startswith': 84, 'endswith': 85, 'split': 86, 'center': 87, 'isdigit': 88, 'isalpha': 89, 'isnumeric': 90, 'p': 91, '7': 92, '12': 93, 'index': 94, 'l': 95, 'n': 96, 'time': 97, 'abs': 98, 'reverse': 99, '101': 100, 'hash': 101, 'bytes': 102, 'complex': 103, '123456789': 104, '2f': 105, 'functools': 106, 'from': 107, 'y': 108, 'pi': 109, 'numbers': 110, 'self': 111, 'math': 112, 'map': 113, 'print': 114, 'is': 115, 'file': 116, 'two': 117, 'add': 118, 'class': 119, 'my': 120, 'square': 121, 'args': 122, 'json': 123, 'multiply': 124, 'zip': 125, 'one': 126, 'three': 127, 'enumerate': 128, 'reduce': 129, 'init': 130, '25': 131, 'and': 132, 'path': 133, 'even': 134, 'random': 135, 'int': 136, 'radius': 137, 'datetime': 138, 'make': 139, 'model': 140, 'data': 141, 'prime': 142, 'combinations': 143, 'try': 144, 'except': 145, 'greet': 146, 'example': 147, 'txt': 148, 'r': 149, 'factorial': 150, 'age': 151, 'squared': 152, 'colors': 153, 'color': 154, 'names': 155, 'sglquote': 156, 'os': 157, 'counter': 158, 'start': 159, 'set': 160, 'delimiter': 161, 'cube': 162, 'hashlib': 163, 'partial': 164, 're': 165, 'pattern': 166, 'myclass': 167, 'pass': 168, 'lftslash': 169, 'zerodivisionerror': 170, 'error': 171, 'sqrt': 172, 'user': 173, 'the': 174, 'of': 175, 'with': 176, 'open': 177, 'as': 178, 'content': 179, 'read': 180, 'else': 181, 'dict': 182, 'dog': 183, 'bark': 184, 'woof': 185, 'number': 186, 'randint': 187, 'valueerror': 188, 'invalid': 189, 'input': 190, 'circle': 191, 'current': 192, 'now': 193, 'power': 194, 'red': 195, 'green': 196, 'blue': 197, 'car': 198, 'string': 199, 'length': 200, 'loads': 201, 'size': 202, 'getsize': 203, 'collections': 204, 'word': 205, 'counts': 206, 'orange': 207, 'lsthn': 208, '20': 209, 'sleep': 210, 'elapsed': 211, 'unique': 212, 'bin': 213, 'hex': 214, '255': 215, 'oct': 216, '8': 217, 'concatenate': 218, 'chr': 219, 'ord': 220, 'cubed': 221, 'eval': 222, 'pow': 223, 'itertools': 224, 'hashed': 225, 'value': 226, 'md5': 227, 'hexdigest': 228, 'isinstance': 229, '42': 230, 'type': 231, 'by': 232, 'compile': 233, 'bkslash': 234, 'd': 235, 'match': 236}\n",
      "Total word index:  237\n"
     ]
    }
   ],
   "source": [
    "print(\"Word index: \",word_index)\n",
    "print(\"Total word index: \",total_words)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## n-grams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### n-grams are used for training the model\n",
    "##### n-grams are made by sequencing the texts and spliting it X and Y "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [],
   "source": [
    "n_grams=[]\n",
    "for code in codes:\n",
    "    sequence=code_tokenizer.texts_to_sequences([code])[0]\n",
    "    for i in range(1,len(sequence)):\n",
    "        n_gram=sequence[:i+1]\n",
    "        n_grams.append(n_gram)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " [114, 5, 2, 9, 3],\n",
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       " [114, 5, 2, 9, 3, 1, 10],\n",
       " [114, 5, 2, 9, 3, 1, 10, 11],\n",
       " [114, 5, 2, 9, 3, 1, 10, 11, 2],\n",
       " [114, 5, 2, 9, 3, 1, 10, 11, 2, 6],\n",
       " [57, 1],\n",
       " [57, 1, 118],\n",
       " [57, 1, 118, 24],\n",
       " [57, 1, 118, 24, 110],\n",
       " [57, 1, 118, 24, 110, 5],\n",
       " [57, 1, 118, 24, 110, 5, 68],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1, 61],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1, 61, 1],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1, 61, 1, 68],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1, 61, 1, 68, 1],\n",
       " [57, 1, 118, 24, 110, 5, 68, 3, 1, 54, 6, 17, 1, 61, 1, 68, 1, 39],\n",
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       " [37, 1],\n",
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       " [119, 1],\n",
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       " [57, 1, 121, 5, 19, 6, 17, 1, 61, 1, 19, 1, 22, 22, 1],\n",
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       " [110, 1, 4, 1, 13, 12, 3, 1, 15, 3, 1],\n",
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       " [110, 1, 4, 1, 13, 12, 3, 1, 15, 3, 1, 16, 3, 1],\n",
       " [110, 1, 4, 1, 13, 12, 3, 1, 15, 3, 1, 16, 3, 1, 20],\n",
       " [110, 1, 4, 1, 13, 12, 3, 1, 15, 3, 1, 16, 3, 1, 20, 3],\n",
       " [110, 1, 4, 1, 13, 12, 3, 1, 15, 3, 1, 16, 3, 1, 20, 3, 1],\n",
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       "  1,\n",
       "  20,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  18,\n",
       "  3,\n",
       "  1,\n",
       "  27,\n",
       "  3,\n",
       "  1,\n",
       "  15,\n",
       "  3],\n",
       " [7,\n",
       "  1,\n",
       "  4,\n",
       "  1,\n",
       "  77,\n",
       "  5,\n",
       "  13,\n",
       "  16,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  20,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  18,\n",
       "  3,\n",
       "  1,\n",
       "  27,\n",
       "  3,\n",
       "  1,\n",
       "  15,\n",
       "  3,\n",
       "  1],\n",
       " [7,\n",
       "  1,\n",
       "  4,\n",
       "  1,\n",
       "  77,\n",
       "  5,\n",
       "  13,\n",
       "  16,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  20,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  18,\n",
       "  3,\n",
       "  1,\n",
       "  27,\n",
       "  3,\n",
       "  1,\n",
       "  15,\n",
       "  3,\n",
       "  1,\n",
       "  28],\n",
       " [7,\n",
       "  1,\n",
       "  4,\n",
       "  1,\n",
       "  77,\n",
       "  5,\n",
       "  13,\n",
       "  16,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  20,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  18,\n",
       "  3,\n",
       "  1,\n",
       "  27,\n",
       "  3,\n",
       "  1,\n",
       "  15,\n",
       "  3,\n",
       "  1,\n",
       "  28,\n",
       "  14],\n",
       " [7,\n",
       "  1,\n",
       "  4,\n",
       "  1,\n",
       "  77,\n",
       "  5,\n",
       "  13,\n",
       "  16,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  20,\n",
       "  3,\n",
       "  1,\n",
       "  12,\n",
       "  3,\n",
       "  1,\n",
       "  18,\n",
       "  3,\n",
       "  1,\n",
       "  27,\n",
       "  3,\n",
       "  1,\n",
       "  15,\n",
       "  3,\n",
       "  1,\n",
       "  28,\n",
       "  14,\n",
       "  6],\n",
       " [57, 1],\n",
       " [57, 1, 115],\n",
       " [57, 1, 115, 24],\n",
       " [57, 1, 115, 24, 142],\n",
       " [57, 1, 115, 24, 142, 5],\n",
       " [57, 1, 115, 24, 142, 5, 96],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17, 25],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17, 25, 1],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17, 25, 1, 1],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17, 25, 1, 1, 1],\n",
       " [57, 1, 115, 24, 142, 5, 96, 6, 17, 25, 1, 1, 1, 1],\n",
       " ...]"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "n_grams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "max_length=max([len(n_gram) for n_gram in n_grams])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "91"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "max_length"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Padding n-grams to be of same length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [],
   "source": [
    "padded_n_grams=pad_sequences(\n",
    "    n_grams,maxlen=max_length,padding=\"pre\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0, ...,   0, 114,   5],\n",
       "       [  0,   0,   0, ..., 114,   5,   2],\n",
       "       [  0,   0,   0, ...,   5,   2,   9],\n",
       "       ...,\n",
       "       [  0,   0,   0, ...,   5,   2,  95],\n",
       "       [  0,   0,   0, ...,   2,  95,   2],\n",
       "       [  0,   0,   0, ...,  95,   2,   6]], dtype=int32)"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "padded_n_grams"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### X data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "X=padded_n_grams[:,:-1]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Y Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y=padded_n_grams[:,-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[  0,   0,   0, ...,   0,   0, 114],\n",
       "       [  0,   0,   0, ...,   0, 114,   5],\n",
       "       [  0,   0,   0, ..., 114,   5,   2],\n",
       "       ...,\n",
       "       [  0,   0,   0, ...,  50,   5,   2],\n",
       "       [  0,   0,   0, ...,   5,   2,  95],\n",
       "       [  0,   0,   0, ...,   2,  95,   2]], dtype=int32)"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ 5,  2,  9, ..., 95,  2,  6], dtype=int32)"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Performing one-hot encoding on Y data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y=to_categorical(Y,num_classes=total_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 1., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       ...,\n",
       "       [0., 0., 0., ..., 0., 0., 0.],\n",
       "       [0., 0., 1., ..., 0., 0., 0.],\n",
       "       [0., 0., 0., ..., 0., 0., 0.]], dtype=float32)"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11119, 90)"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(11119, 237)"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Y.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Embedding outputs and LSTM units"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "embedding_output=128\n",
    "lstm_units=256"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Autocode LSTM model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {},
   "outputs": [],
   "source": [
    "autocode=Sequential(\n",
    "    [\n",
    "        InputLayer(input_shape=max_length-1),\n",
    "        Embedding(total_words,embedding_output,input_length=max_length-1),\n",
    "        Bidirectional(LSTM(units=lstm_units)),\n",
    "        Dense(total_words,activation=\"softmax\")\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [],
   "source": [
    "autocode.compile(\n",
    "    optimizer=Adam(),\n",
    "    loss=CategoricalCrossentropy(),\n",
    "    metrics=['accuracy']\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"sequential_1\"\n",
      "_________________________________________________________________\n",
      " Layer (type)                Output Shape              Param #   \n",
      "=================================================================\n",
      " embedding_1 (Embedding)     (None, 90, 128)           30336     \n",
      "                                                                 \n",
      " bidirectional_1 (Bidirecti  (None, 512)               788480    \n",
      " onal)                                                           \n",
      "                                                                 \n",
      " dense_1 (Dense)             (None, 237)               121581    \n",
      "                                                                 \n",
      "=================================================================\n",
      "Total params: 940397 (3.59 MB)\n",
      "Trainable params: 940397 (3.59 MB)\n",
      "Non-trainable params: 0 (0.00 Byte)\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "autocode.summary()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [],
   "source": [
    "epochs=25\n",
    "val_split=.2\n",
    "batch=16"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/25\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "556/556 [==============================] - 82s 145ms/step - loss: 2.2194 - accuracy: 0.5139 - val_loss: 0.9047 - val_accuracy: 0.7626\n",
      "Epoch 2/25\n",
      "556/556 [==============================] - 76s 136ms/step - loss: 1.0283 - accuracy: 0.7488 - val_loss: 0.5089 - val_accuracy: 0.8674\n",
      "Epoch 3/25\n",
      "556/556 [==============================] - 75s 134ms/step - loss: 0.6797 - accuracy: 0.8343 - val_loss: 0.3586 - val_accuracy: 0.9096\n",
      "Epoch 4/25\n",
      "556/556 [==============================] - 76s 136ms/step - loss: 0.5315 - accuracy: 0.8618 - val_loss: 0.3151 - val_accuracy: 0.9168\n",
      "Epoch 5/25\n",
      "556/556 [==============================] - 79s 141ms/step - loss: 0.4443 - accuracy: 0.8794 - val_loss: 0.2874 - val_accuracy: 0.9213\n",
      "Epoch 6/25\n",
      "556/556 [==============================] - 79s 142ms/step - loss: 0.3893 - accuracy: 0.8929 - val_loss: 0.2713 - val_accuracy: 0.9299\n",
      "Epoch 7/25\n",
      "556/556 [==============================] - 75s 135ms/step - loss: 0.3446 - accuracy: 0.9048 - val_loss: 0.2646 - val_accuracy: 0.9290\n",
      "Epoch 8/25\n",
      "556/556 [==============================] - 76s 136ms/step - loss: 0.3181 - accuracy: 0.9099 - val_loss: 0.2600 - val_accuracy: 0.9272\n",
      "Epoch 9/25\n",
      "556/556 [==============================] - 89s 159ms/step - loss: 0.2949 - accuracy: 0.9168 - val_loss: 0.2635 - val_accuracy: 0.9285\n",
      "Epoch 10/25\n",
      "556/556 [==============================] - 105s 188ms/step - loss: 0.2815 - accuracy: 0.9204 - val_loss: 0.2541 - val_accuracy: 0.9299\n",
      "Epoch 11/25\n",
      "556/556 [==============================] - 89s 160ms/step - loss: 0.2720 - accuracy: 0.9197 - val_loss: 0.2648 - val_accuracy: 0.9254\n",
      "Epoch 12/25\n",
      "556/556 [==============================] - 85s 152ms/step - loss: 0.2631 - accuracy: 0.9258 - val_loss: 0.2495 - val_accuracy: 0.9285\n",
      "Epoch 13/25\n",
      "556/556 [==============================] - 86s 155ms/step - loss: 0.2603 - accuracy: 0.9258 - val_loss: 0.2588 - val_accuracy: 0.9245\n",
      "Epoch 14/25\n",
      "556/556 [==============================] - 82s 148ms/step - loss: 0.2497 - accuracy: 0.9277 - val_loss: 0.2518 - val_accuracy: 0.9285\n",
      "Epoch 15/25\n",
      "556/556 [==============================] - 80s 144ms/step - loss: 0.2460 - accuracy: 0.9296 - val_loss: 0.2508 - val_accuracy: 0.9258\n",
      "Epoch 16/25\n",
      "556/556 [==============================] - 80s 144ms/step - loss: 0.2449 - accuracy: 0.9292 - val_loss: 0.2593 - val_accuracy: 0.9281\n",
      "Epoch 17/25\n",
      "556/556 [==============================] - 80s 145ms/step - loss: 0.2401 - accuracy: 0.9314 - val_loss: 0.2662 - val_accuracy: 0.9096\n",
      "Epoch 18/25\n",
      "556/556 [==============================] - 81s 145ms/step - loss: 0.2333 - accuracy: 0.9310 - val_loss: 0.2550 - val_accuracy: 0.9281\n",
      "Epoch 19/25\n",
      "556/556 [==============================] - 81s 146ms/step - loss: 0.2343 - accuracy: 0.9314 - val_loss: 0.2447 - val_accuracy: 0.9321\n",
      "Epoch 20/25\n",
      "556/556 [==============================] - 80s 143ms/step - loss: 0.2367 - accuracy: 0.9310 - val_loss: 0.2521 - val_accuracy: 0.9285\n",
      "Epoch 21/25\n",
      "556/556 [==============================] - 90s 161ms/step - loss: 0.2570 - accuracy: 0.9267 - val_loss: 0.2574 - val_accuracy: 0.9182\n",
      "Epoch 22/25\n",
      "556/556 [==============================] - 80s 144ms/step - loss: 0.2345 - accuracy: 0.9313 - val_loss: 0.2555 - val_accuracy: 0.9281\n",
      "Epoch 23/25\n",
      "556/556 [==============================] - 78s 140ms/step - loss: 0.2369 - accuracy: 0.9310 - val_loss: 0.2473 - val_accuracy: 0.9281\n",
      "Epoch 24/25\n",
      "556/556 [==============================] - 79s 142ms/step - loss: 0.2270 - accuracy: 0.9334 - val_loss: 0.2511 - val_accuracy: 0.9294\n",
      "Epoch 25/25\n",
      "556/556 [==============================] - 84s 152ms/step - loss: 0.2300 - accuracy: 0.9319 - val_loss: 0.2446 - val_accuracy: 0.9299\n"
     ]
    }
   ],
   "source": [
    "history=autocode.fit(\n",
    "    x=X,\n",
    "    y=Y,\n",
    "    validation_split=val_split,\n",
    "    epochs=epochs,\n",
    "    batch_size=batch)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "history=history.history"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loss and Accuracy graph"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x29599bd90>]"
      ]
     },
     "execution_count": 114,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['loss'],label=\"loss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x28eb54400>]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['val_loss'],label=\"val_loss\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x28eb57ee0>"
      ]
     },
     "execution_count": 116,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['loss'],label=\"loss\")\n",
    "plt.plot(range(epochs),history['val_loss'],label=\"val_loss\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x28ec3b160>]"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['accuracy'],label=\"accuracy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x291d22020>]"
      ]
     },
     "execution_count": 118,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['val_accuracy'],label=\"val_accuracy\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x291d4f880>"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(epochs),history['accuracy'],label=\"accuracy\")\n",
    "plt.plot(range(epochs),history['val_accuracy'],label=\"val_accuracy\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Testing the model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [],
   "source": [
    "text=\"def space add underscr numbers paropn a com  space b parcls  cln  nwline return space a space  pls  space b nwline result space eql space\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 499,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "def space add underscr numbers paropn a com  space b parcls  cln  nwline return space a space  pls  space b nwline result space eql space\n"
     ]
    }
   ],
   "source": [
    "print(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 500,
   "metadata": {},
   "outputs": [],
   "source": [
    "num_words=10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 501,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 17ms/step\n",
      "1/1 [==============================] - 0s 15ms/step\n",
      "1/1 [==============================] - 0s 15ms/step\n",
      "1/1 [==============================] - 0s 14ms/step\n",
      "1/1 [==============================] - 0s 14ms/step\n",
      "1/1 [==============================] - 0s 13ms/step\n",
      "1/1 [==============================] - 0s 13ms/step\n",
      "1/1 [==============================] - 0s 14ms/step\n",
      "1/1 [==============================] - 0s 14ms/step\n",
      "1/1 [==============================] - 0s 14ms/step\n"
     ]
    }
   ],
   "source": [
    "for i in range(0,num_words):\n",
    "    test_text=code_tokenizer.texts_to_sequences([text])[0]\n",
    "    test_text=pad_sequences([test_text],maxlen=max_length-1,padding=\"pre\")\n",
    "    predict=autocode.predict(test_text)\n",
    "    probability=np.argmax(predict,axis=-1)[0]\n",
    "    if probability != 0:\n",
    "        output_word=code_tokenizer.index_word[probability]\n",
    "        text+=\" \"+output_word"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 502,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "def space add underscr numbers paropn a com  space b parcls  cln  nwline return space a space  pls  space b nwline result space eql space add paropn mul sqropn 3 com space 5 sqrcls parcls\n"
     ]
    }
   ],
   "source": [
    "print(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 503,
   "metadata": {},
   "outputs": [],
   "source": [
    "def string_symbols(symbols_dict,sentence):\n",
    "    keys=list(symbols_dict.keys())\n",
    "    values=list(symbols_dict.values())\n",
    "    words=sentence.split(\" \")\n",
    "    for word in words:\n",
    "        if word in values:\n",
    "            word_index=words.index(word)\n",
    "            value_index=values.index(word)\n",
    "            words[word_index]=\" \"+keys[value_index]+\" \"\n",
    "    string_sentence=\"\".join(words)\n",
    "    return string_sentence"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 504,
   "metadata": {},
   "outputs": [],
   "source": [
    "text=string_symbols(symbols_dict=symbols,sentence=text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 505,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "def   add _ numbers ( a ,    b )  :  \n",
      " return   a    +    b \n",
      " result    =    add (  *  [ 3 ,    5 ]  ) \n"
     ]
    }
   ],
   "source": [
    "print(text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 506,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1/1 [==============================] - 0s 15ms/step - loss: 0.0000e+00 - accuracy: 0.0000e+00\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[0.0, 0.0]"
      ]
     },
     "execution_count": 506,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "autocode.evaluate(test_text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Saving model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 507,
   "metadata": {},
   "outputs": [],
   "source": [
    "autocode.save('./autocode.keras')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.10.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}