Delete convert2list.ipynb

convert2list.ipynb

@@ -1,151 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "b52e9a66-a8e9-4f56-91fd-8564b5b636fc",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "जीरो एक दो तीन चार पांच छह सात आठ नौ दस जीरो एक दो तीन चार पांच\n"
-     ]
-    }
-   ],
-   "source": [
-    "# import nbimporter\n",
-    "import nbimporter\n",
-    "from Text2List import text_to_list\n",
-    "def convert_to_list(text, text_list):\n",
-    "    matched_words = []\n",
-    "    unmatched_text = ''  # To accumulate unmatched characters\n",
-    "\n",
-    "    # Sort text_list by length in descending order to prioritize longest matches first\n",
-    "    text_list_sorted = sorted(text_list, key=len, reverse=True)\n",
-    "\n",
-    "    while text:\n",
-    "        matched = False\n",
-    "        for word in text_list_sorted:\n",
-    "            if text.startswith(word):\n",
-    "                # Add any accumulated unmatched text before appending the matched word\n",
-    "                if unmatched_text:\n",
-    "                    matched_words.append(unmatched_text)\n",
-    "                    unmatched_text = ''  # Reset unmatched text accumulator\n",
-    "\n",
-    "                matched_words.append(word)\n",
-    "                text = text[len(word):]  # Remove the matched part from text\n",
-    "                matched = True\n",
-    "                break\n",
-    "\n",
-    "        if not matched:\n",
-    "            # Accumulate unmatched characters\n",
-    "            unmatched_text += text[0]\n",
-    "            text = text[1:]\n",
-    "\n",
-    "    # If there's any remaining unmatched text, add it to the result\n",
-    "    if unmatched_text:\n",
-    "        matched_words.append(unmatched_text)\n",
-    "\n",
-    "    # Join matched words and unmatched text with a space\n",
-    "    result = ' '.join(matched_words)\n",
-    "    return result\n",
-    "    \n",
-    "text = \"जीरोएकदोतीनचारपांचछहसातआठनौदसजीरोएकदोतीनचारपांच\"\n",
-    "\n",
-    "if __name__==\"__main__\":\n",
-    "    converted=convert_to_list(text, text_to_list())\n",
-    "    print(converted)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "f6655a7c-7481-4a73-a2e6-5327f589bb8b",
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "जीरो तीन तीन चार र\n"
-     ]
-    }
-   ],
-   "source": [
-    "# # import nbimporter\n",
-    "# import nbimporter\n",
-    "# from Text2List import text_to_list\n",
-    "# def convert_to_list(text, text_list):\n",
-    "#     matched_words = []\n",
-    "#     unmatched_text = ''  # To accumulate unmatched characters\n",
-    "\n",
-    "#     # Sort text_list by length in descending order to prioritize longest matches first\n",
-    "#     text_list_sorted = sorted(text_list, key=len, reverse=True)\n",
-    "\n",
-    "#     while text:\n",
-    "#         matched = False\n",
-    "#         for word in text_list_sorted:\n",
-    "#             if word in text:\n",
-    "#                 # Add any accumulated unmatched text before appending the matched word\n",
-    "#                 if unmatched_text:\n",
-    "#                     matched_words.append(unmatched_text)\n",
-    "#                     unmatched_text = ''  # Reset unmatched text accumulator\n",
-    "\n",
-    "#                 matched_words.append(word)\n",
-    "#                 text = text[len(word):]  # Remove the matched part from text\n",
-    "#                 matched = True\n",
-    "#                 break\n",
-    "\n",
-    "#         if not matched:\n",
-    "#             # Accumulate unmatched characters\n",
-    "#             unmatched_text += text[0]\n",
-    "#             text = text[1:]\n",
-    "\n",
-    "#     # If there's any remaining unmatched text, add it to the result\n",
-    "#     if unmatched_text:\n",
-    "#         matched_words.append(unmatched_text)\n",
-    "\n",
-    "#     # Join matched words and unmatched text with a space\n",
-    "#     result = ' '.join(matched_words)\n",
-    "#     return result\n",
-    "    \n",
-    "# text = \"जीरोएकदोतीनचार\"\n",
-    "\n",
-    "# if __name__==\"__main__\":\n",
-    "#     converted=convert_to_list(text, text_to_list())\n",
-    "#     print(converted)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "26b725cd-d14f-4d8a-9829-99a7b9a5eeb3",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.11.7"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}