| from typing import Optional, Any | |
| import torch | |
| from transformers.utils import is_accelerate_available, is_bitsandbytes_available | |
| from transformers import ( | |
| AutoTokenizer, | |
| AutoModelForCausalLM, | |
| GenerationConfig, | |
| pipeline, |
| var utc; | |
| var navigator = { appName: "" }; | |
| var _global = typeof globalThis !== "undefined" ? globalThis : typeof self !== "undefined" ? self : global; | |
| var exports = {}; | |
| (function (global, factory) { | |
| factory(exports); |
This fork of JamieMason's implementation changes the key parameter to be an array of keys instead of just a single key. This makes it possible to group by multiple properties instead of just one.
const groupBy = keys => array =>
array.reduce((objectsByKeyValue, obj) => {
const value = keys.map(key => obj[key]).join('-');
| <!DOCTYPE html> | |
| <html> | |
| <head> | |
| <meta charset="utf-8"/> | |
| <title>Native AsyncAwait vs babel regenerator vs promises</title> | |
| <script src="https://cdnjs.cloudflare.com/ajax/libs/benchmark/1.0.0/benchmark.min.js"></script> | |
| <script src="./suite.js"></script> | |
| </head> | |
| <body> | |
| <h1>Open the console to view the results</h1> |
| version: '2.2' | |
| services: | |
| elasticsearch: | |
| image: docker.elastic.co/elasticsearch/elasticsearch:6.4.1 | |
| container_name: elasticsearch | |
| environment: | |
| - cluster.name=docker-cluster | |
| - bootstrap.memory_lock=true | |
| - "ES_JAVA_OPTS=-Xms512m -Xmx512m" | |
| ulimits: |
| ### KERNEL TUNING ### | |
| # Increase size of file handles and inode cache | |
| fs.file-max = 2097152 | |
| # Do less swapping | |
| vm.swappiness = 10 | |
| vm.dirty_ratio = 60 | |
| vm.dirty_background_ratio = 2 |
| // This function converts the string to lowercase, then perform the conversion | |
| function toLowerCaseNonAccentVietnamese(str) { | |
| str = str.toLowerCase(); | |
| // We can also use this instead of from line 11 to line 17 | |
| // str = str.replace(/\u00E0|\u00E1|\u1EA1|\u1EA3|\u00E3|\u00E2|\u1EA7|\u1EA5|\u1EAD|\u1EA9|\u1EAB|\u0103|\u1EB1|\u1EAF|\u1EB7|\u1EB3|\u1EB5/g, "a"); | |
| // str = str.replace(/\u00E8|\u00E9|\u1EB9|\u1EBB|\u1EBD|\u00EA|\u1EC1|\u1EBF|\u1EC7|\u1EC3|\u1EC5/g, "e"); | |
| // str = str.replace(/\u00EC|\u00ED|\u1ECB|\u1EC9|\u0129/g, "i"); | |
| // str = str.replace(/\u00F2|\u00F3|\u1ECD|\u1ECF|\u00F5|\u00F4|\u1ED3|\u1ED1|\u1ED9|\u1ED5|\u1ED7|\u01A1|\u1EDD|\u1EDB|\u1EE3|\u1EDF|\u1EE1/g, "o"); | |
| // str = str.replace(/\u00F9|\u00FA|\u1EE5|\u1EE7|\u0169|\u01B0|\u1EEB|\u1EE9|\u1EF1|\u1EED|\u1EEF/g, "u"); | |
| // str = str.replace(/\u1EF3|\u00FD|\u1EF5|\u1EF7|\u1EF9/g, "y"); |
For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.
Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.
You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.
| # delete local tag '12345' | |
| git tag -d 12345 | |
| # delete remote tag '12345' (eg, GitHub version too) | |
| git push origin :refs/tags/12345 | |
| # alternative approach | |
| git push --delete origin tagName | |
| git tag -d tagName |
