This is a Docker compose definition of a Hadoop + Spark + Livy cluster with one node only. You can use it for development or testing purposes.
Example usage:
docker compose build
docker compose up -d
docker exec -it /bin/bash| import argparse | |
| import random | |
| from collections import defaultdict | |
| import numpy as np | |
| from tqdm import tqdm | |
| BOARD_SIZE = 3 | |
| from dataclasses import dataclass | |
| import numpy as np | |
| vocab = [None, 'a', 'b', 'c'] | |
| null_idx = 0 | |
| V = len(vocab) | |
| @dataclass | |
| class LSTMWeights: | |
| xi: list[list[float]] # (V-1, V) |
| import os | |
| import argparse | |
| import json | |
| import re | |
| import unicodedata | |
| invalid_bytes_re = re.compile(r'[\x00-\x1F]+') | |
| sline_re = re.compile(r'\[sline\].*?\[/sline\]') | |
| color_tags = ['[f-blue]','[/f-blue]', |
| import argparse | |
| import chess | |
| import chess.engine | |
| import chess.pgn | |
| def main(stockfish_path, output_path): | |
| engine = chess.engine.SimpleEngine.popen_uci(stockfish_path) |
| """ | |
| Since Model.fit doesn't support class_weight when using multiple outputs, | |
| this custom loss subclass may be useful. | |
| Relevant issues: | |
| https://github.com/keras-team/keras/issues/11735 | |
| https://github.com/tensorflow/tensorflow/issues/40457 | |
| https://github.com/tensorflow/tensorflow/issues/41448 | |
| """ |
| div>*:not(code) { | |
| /* using the default discord theme's fonts */ | |
| font-family: | |
| Whitney, | |
| 'Helvetica Neue', | |
| Helvetica, | |
| Arial, | |
| 'Meiryo', /* you can change this to whatever japanese font you prefer */ | |
| sans-serif !important; | |
| } |
| file_export_version=3.0 | |
| /instance/org.codehaus.groovy.eclipse.ui/groovy.editor.groovyDoc.keyword.enabled=true | |
| /instance/org.codehaus.groovy.eclipse.ui/groovy.editor.groovyDoc.link.enabled=true | |
| /instance/org.codehaus.groovy.eclipse.ui/groovy.editor.groovyDoc.tag.enabled=true | |
| /instance/org.eclipse.ui.editors/AbstractTextEditor.Color.SelectionForeground.SystemDefault=false | |
| /instance/org.eclipse.ui.editors/AbstractTextEditor.Color.SelectionBackground.SystemDefault=false | |
| /instance/org.eclipse.ui.editors/AbstractTextEditor.Color.Background.SystemDefault=false | |
| /instance/org.eclipse.ui.editors/AbstractTextEditor.Color.Foreground.SystemDefault=false | |
| /instance/org.epic.perleditor/AbstractTextEditor.Color.Background.SystemDefault=false | |
| /instance/org.epic.perleditor/AbstractTextEditor.Color.Foreground.SystemDefault=false |
| using System; | |
| using System.Collections.Generic; | |
| namespace BinarySearch | |
| { | |
| class Program | |
| { | |
| static void Main(string[] args) | |
| { | |
| List<int> list = new List<int>() { 5, 8, 900, 1, 22, 52, 567, 666, 123, 256, 765, 0, 500 }; // example list |