{
 "cells": [
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   "cell_type": "markdown",
   "source": [
    "Given an array `A` of `0`s and `1`s, consider `N_i`: the i-th subarray from\n",
    "`A[0]` to `A[i]` interpreted as a binary number (from most-significant-bit to\n",
    "least-significant-bit.)\n",
    "\n",
    "Return a list of booleans `answer`, where `answer[i]` is `true` if and only if\n",
    "`N_i` is divisible by 5.\n",
    "\n",
    "**Example 1:**\n",
    "\n",
    "\n",
    "\n",
    "    Input: [0,1,1]\n",
    "    Output: [true,false,false]\n",
    "    Explanation:\n",
    "    The input numbers in binary are 0, 01, 011; which are 0, 1, and 3 in base-10.  Only the first number is divisible by 5, so answer[0] is true.\n",
    "\n",
    "\n",
    "**Example 2:**\n",
    "\n",
    "\n",
    "\n",
    "    Input: [1,1,1]\n",
    "    Output: [false,false,false]\n",
    "\n",
    "\n",
    "**Example 3:**\n",
    "\n",
    "\n",
    "\n",
    "    Input: [0,1,1,1,1,1]\n",
    "    Output: [true,false,false,false,true,false]\n",
    "\n",
    "\n",
    "**Example 4:**\n",
    "\n",
    "\n",
    "\n",
    "    Input: [1,1,1,0,1]\n",
    "    Output: [false,false,false,false,false]\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "**Note:**\n",
    "\n",
    "  1. `1 <= A.length <= 30000`\n",
    "  2. `A[i]` is `0` or `1`"
   ],
   "metadata": {}
  },
  {
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": "prefixes_div_by5 (generic function with 1 method)"
     },
     "metadata": {},
     "execution_count": 1
    }
   ],
   "cell_type": "code",
   "source": [
    "# @lc code=start\n",
    "using LeetCode\n",
    "\n",
    "function prefixes_div_by5(nums::Vector{Int})\n",
    "    len = length(nums)\n",
    "    res = fill(false, len)\n",
    "    cur = 0\n",
    "    for i in 1:len\n",
    "        cur = cur * 2 + nums[i]\n",
    "        cur % 5 == 0 && (res[i] = true)\n",
    "    end\n",
    "    return res\n",
    "end\n",
    "# @lc code=end"
   ],
   "metadata": {},
   "execution_count": 1
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\n",
    "\n",
    "*This notebook was generated using [Literate.jl](https://github.com/fredrikekre/Literate.jl).*"
   ],
   "metadata": {}
  }
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