{ "cells": [ { "cell_type": "code", "execution_count": null, "id": "4bd349d3-17e2-4f65-87e1-8468d6388da3", "metadata": {}, "outputs": [], "source": [ "# given an acrostic poem, the letter to be revealed is of n length, all positioned at the first letter of the 1th - nth word on the incrementing lines" ] }, { "cell_type": "code", "execution_count": null, "id": "0f316e70-4d4d-4571-8dd4-ad8bca805079", "metadata": {}, "outputs": [], "source": [ "# write a function to extract the letters into the full word" ] }, { "cell_type": "code", "execution_count": null, "id": "51dbc6a9-dfca-4cf6-a811-cf8ce7326068", "metadata": {}, "outputs": [], "source": [ "# use grepFirstletter\n", "# use , to separate input program \n", "def diagonal_acrostic_join(input):\n", " " ] }, { "cell_type": "code", "execution_count": null, "id": "101f9659-522d-4a10-93e5-0b4ae528c755", "metadata": {}, "outputs": [], "source": [ "sample_poem = \"\"" ] } ], "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": "3.9.7" } }, "nbformat": 4, "nbformat_minor": 5 }