{
 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "## vec_make"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ee0c4a9f",
   "metadata": {},
   "source": [
    "### **概要**\n",
    "This function calculates essential values required for executing the [mat_maker](../eng/mat_maker_en.ipynb).\\\n",
    "It is intended to be used internally within [mat_maker](../eng/mat_maker_en.ipynb) and is not designed for standalone use.\\\n",
    "It has been separated from [mat_maker](../eng/mat_maker_en.ipynb) to avoid making the function overly complex."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a8b23f9",
   "metadata": {},
   "source": [
    "### **引数一覧**\n",
    "|argument name|type|role|\n",
    "|---|---|---|\n",
    "|ele|str|A list of elements representing the matrix used in `mat_maker`|\n",
    "|coflst|list(elements:int)|A list containing the coefficients applied to the matrix elements used in `mat_maker`|"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6e4b88d8",
   "metadata": {},
   "source": [
    "### **戻り値**\n",
    "app_lst（list）:\\\n",
    "A list for storing the calculation results.\\\n",
    "Each element is of type float."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "490e3d89",
   "metadata": {},
   "source": [
    "### **Python code**\n",
    "```python\n",
    "def vec_make(ele, coflst):\n",
    "    \"\"\"\n",
    "    This function computes essential values required for executing function, \"mat_make\".\n",
    "    This function is intended to be used only within the function,  \"mat_make\", and is not designed for standalone use.\n",
    "\n",
    "    Parameters:\n",
    "        gate_inf: the results of the Jordan–Wigner and Bravyi–Kitaev transformations performed using OpenFermion\n",
    "        zero_one\n",
    "\n",
    "    Returns:\n",
    "        (list, list): The coefficients information and Pauli matrix product information.\n",
    "    \"\"\"\n",
    "    app_lst = []\n",
    "    cor_list_one = []\n",
    "    cor_list_two = []\n",
    "    for i in range(len(coflst)):\n",
    "        corlen = len(ele)//len(coflst)\n",
    "        cor_list_one = ele[corlen*i: corlen*i+corlen//2]\n",
    "        cor_list_two = ele[corlen*i+corlen//2: corlen*i+corlen]\n",
    "        for j in range(len(cor_list_one)):\n",
    "            app_lst.append(-cor_list_one[j]/coflst[i])\n",
    "        for j in range(len(cor_list_two)):\n",
    "            app_lst.append(cor_list_two[j]*coflst[i])\n",
    "    return app_lst\n",
    "```"
   ]
  }
 ],
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