{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from great_ai.utilities import parallel_map" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[38;5;39m2022-06-28 18:10:31,043 | INFO | Parallel map: configured ✅\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:31,044 | INFO | ⚙️ concurrency: 12\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:31,045 | INFO | ⚙️ chunk length: 8334\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:31,045 | INFO | ⚙️ chunk count: 120\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:31,046 | INFO | ⚙️ function size: 0 kB\u001b[0m\n", "Parallel map: 100%|██████████| 1000000/1000000 [00:05<00:00, 181294.86it/s]\n" ] } ], "source": [ "parallel_map(lambda x: x**3, range(int(1e6)))\n", "None" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\u001b[38;5;39m2022-06-28 18:10:36,757 | INFO | Parallel map: configured ✅\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:36,758 | INFO | ⚙️ concurrency: 12\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:36,759 | INFO | ⚙️ chunk length: 1\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:36,759 | INFO | ⚙️ chunk count: unknown\u001b[0m\n", "\u001b[38;5;39m2022-06-28 18:10:36,760 | INFO | ⚙️ function size: 0 kB\u001b[0m\n", "Parallel map: 10it [00:21, 2.11s/it]\n" ] }, { "data": { "text/plain": [ "[0, 1, 8, 27, 64, 125, 216, 343, 512, 729]" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from time import sleep\n", "\n", "\n", "def my_generator():\n", " for i in range(10):\n", " yield i\n", " sleep(2)\n", "\n", "\n", "parallel_map(lambda x: x**3, my_generator(), chunk_length=1)" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3.10.4 ('.env': venv)", "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": "3.10.4" }, "orig_nbformat": 4, "vscode": { "interpreter": { "hash": "d88b0dd276e3f918f7798b7e97af2e3c2f843817b9e5b55a9df0a682ffd80f44" } } }, "nbformat": 4, "nbformat_minor": 2 }