115 lines
3.2 KiB
Text
115 lines
3.2 KiB
Text
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/data/projects/great_ai/.env/lib/python3.10/site-packages/tqdm/auto.py:22: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
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" from .autonotebook import tqdm as notebook_tqdm\n"
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]
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}
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],
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"source": [
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"from great_ai.utilities import parallel_map"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\u001b[38;5;39m2022-06-29 09:11:18,070 | INFO | Parallel map: configured ✅\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ concurrency: 200\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ chunk length: 1\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:18,071 | INFO | ⚙️ chunk count: 1000\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:18,072 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
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"Parallel map: 100%|██████████| 1000/1000 [00:00<00:00, 1345.90it/s]\n"
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]
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}
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],
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"source": [
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"from time import sleep\n",
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"\n",
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"parallel_map(lambda x: sleep(0.1), range(int(1000)), concurrency=200)\n",
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"None"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"\u001b[38;5;39m2022-06-29 09:11:20,399 | INFO | Parallel map: configured ✅\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:20,401 | INFO | ⚙️ concurrency: 12\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:20,401 | INFO | ⚙️ chunk length: 1\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:20,402 | INFO | ⚙️ chunk count: unknown\u001b[0m\n",
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"\u001b[38;5;39m2022-06-29 09:11:20,403 | INFO | ⚙️ function size: 0 kB\u001b[0m\n",
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"Parallel map: 10it [00:02, 4.93it/s]\n"
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]
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},
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{
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"data": {
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"text/plain": [
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"[0, 1, 8, 27, 64, 125, 216, 343, 512, 729]"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from time import sleep\n",
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"\n",
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"\n",
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"def my_generator():\n",
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" for i in range(10):\n",
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" yield i\n",
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" sleep(0.2)\n",
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"\n",
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"\n",
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"parallel_map(lambda x: x**3, my_generator(), chunk_length=1)"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3.10.4 ('.env': venv)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "d88b0dd276e3f918f7798b7e97af2e3c2f843817b9e5b55a9df0a682ffd80f44"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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