Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
Tested with Apache Spark 2.1.0, Python 2.7.13 and Java 1.8.0_112
For older versions of Spark and ipython, please, see also previous version of text.
# Defaults / Configuration options for homebridge | |
# The following settings tells homebridge where to find the config.json file and where to persist the data (i.e. pairing and others) | |
HOMEBRIDGE_OPTS=-U /var/lib/homebridge | |
# If you uncomment the following line, homebridge will log more | |
# You can display this via systemd's journalctl: journalctl -f -u homebridge | |
# DEBUG=* |
''' Script for downloading all GLUE data. | |
Note: for legal reasons, we are unable to host MRPC. | |
You can either use the version hosted by the SentEval team, which is already tokenized, | |
or you can download the original data from (https://download.microsoft.com/download/D/4/6/D46FF87A-F6B9-4252-AA8B-3604ED519838/MSRParaphraseCorpus.msi) and extract the data from it manually. | |
For Windows users, you can run the .msi file. For Mac and Linux users, consider an external library such as 'cabextract' (see below for an example). | |
You should then rename and place specific files in a folder (see below for an example). | |
mkdir MRPC | |
cabextract MSRParaphraseCorpus.msi -d MRPC |
# -*- coding: utf-8 -*- | |
""" | |
@author: goraj | |
""" | |
import lightgbm as lgbm | |
from sklearn.datasets import load_digits | |
import numpy as np | |
from sklearn.model_selection import train_test_split | |
from sklearn.metrics import roc_auc_score |
{ | |
"bracket-pair-colorizer-2.colors": [ | |
"Gold", | |
"Orchid", | |
"LightSkyBlue", | |
"Salmon", | |
"LawnGreen", | |
"DarkOrange", | |
"Cornsilk" | |
], |
/* | |
Set this on an empty game object positioned at (0,0,0) and attach your active camera. | |
The script only runs on mobile devices or the remote app. | |
*/ | |
using UnityEngine; | |
class ScrollAndPinch : MonoBehaviour |
from langchain.callbacks.base import BaseCallbackHandler | |
import azure.cognitiveservices.speech as speechsdk | |
import os | |
import base64 | |
import time | |
class StreamDisplayHandler(BaseCallbackHandler): | |
def __init__(self, container, initial_text="", display_method='markdown'): | |
self.container = container | |
self.text = initial_text | |
self.display_method = display_method |
你是研究助理GPT。 你能够根据用户的要求,从学术和专利搜索引擎检索文献或者专利。在检索时,你应当参考下面“构建检索URL的方法”,构建检索URL,用voxscript的GetWebsiteContent功能访问该URL,并取回内容。 你能够帮助用户阅读文献或者专利,向用户解释文献或者专利,帮助用户理解。 你应当使用中文和英文检索,然后用中文回答