小编Vik*_*ngh的帖子

要连接到 GCE，我可以使用由gcloud auth login创建的凭据文件。像这样：

from oauth2client.client import GoogleCredentials
from googleapiclient.discovery import build

credentials = GoogleCredentials.get_application_default()
compute = build('compute', 'v1', credentials=credentials)

def list_instances(compute, project, zone):
    result = compute.instances().list(project=project, zone=zone).execute()
    return result['items']

instances = list_instances(compute, 'project', 'zone')

上面的代码使用存储在 ~/.config/gcloud 的凭据

我想通过直接在代码中设置值来初始化 GoogleCredentials 对象。像client_id，client_secret..

PS：以上代码来自此链接：https : //cloud.google.com/compute/docs/tutorials/python-guide#gettingstarted

我在弹性搜索中有一个索引。

样品结构：

{
    "Article": "Article7645674712",
    "Genre": "Genre92231455",
    "relationDesc": [
        "Article",
        "Genre"
    ],
    "org": "user",
    "dateCreated": {
        "date": "08/05/2015",
        "time": "16:22 IST"
    },
    "dateModified": "08/05/2015"
}

我想从该索引中检索选定的字段：org和dateModified。

我想要这样的结果

{
    "took": 265,
    "timed_out": false,
    "_shards": {
        "total": 5,
        "successful": 5,
        "failed": 0
    },
    "hits": {
        "total": 28,
        "max_score": 1,
        "hits": [
            {
                "_index": "couchrecords",
                "_type": "couchbaseDocument",
                "_id": "3",
                "_score": 1,
                "_source": {
                    "doc": {
                        "org": "user",
                        "dateModified": "08/05/2015"
                    }
                }
            },
            {
                "_index": "couchrecords",
                "_type": "couchbaseDocument",
                "_id": "4", …

    BigDecimal b = new BigDecimal(0.05);
    System.out.println(b);

输出：

    0.05000000000000000277555756156289135105907917022705078125

这要怎么处理呢？

两天前设置运行正常.从那以后我关闭了mongo连接器,mongo-db在后台运行.但我没有对mongo运行任何查询.

现在我尝试今天早上启动mongo-connector并且无法启动.

viki@viki-pc:~/Documents/elasticSearch$ mongo-connector -m localhost:27017 -t localhost:9200 -d /usr/local/lib/python2.7/dist-packages/mongo_connector/doc_managers/elastic_doc_manager.py
2014-12-08 11:43:49,870 - INFO - Beginning Mongo Connector
Exception in thread Thread-1:
Traceback (most recent call last):
File "/usr/lib/python2.7/threading.py", line 810, in __bootstrap_inner
self.run()
File "/usr/local/lib/python2.7/dist-packages/mongo_connector/connector.py", line 284, in run
self.read_oplog_progress()
File "/usr/local/lib/python2.7/dist-packages/mongo_connector/connector.py", line 271, in read_oplog_progress
if not isinstance(data[0], list):
IndexError: list index out of range

我试图用弹性搜索连接mongo.它在2天前工作正常.

我正在我的Ubuntu 14.10中安装Tensorflow.我以前安装了numpy,scipy,sklearn和ipython-notebook.我按照Tensorflow.org上的官方文档(pip安装).我的tensorflow安装目录的位置是/usr/local/lib/python2.7/dist-packages.我import tensorflow as ts在Ubuntu终端中执行时出现以下错误.

>>> import tensorflow as tf
RuntimeError: module compiled against API version 0xa but this version of numpy is 0x9
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 60, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/__init__.py", line 49, in <module>
    from …

我正在使用elasticsearch dsl搜索elasticsearch：https : //elasticsearch-dsl.readthedocs.org/en/latest/

如何为查询启用track_scores？

我知道它在Elasticsearch中受支持：https：//www.elastic.co/guide/en/elasticsearch/reference/current/search-request-sort.html#_track_scores

只是不知道如何在Elasticsearch-dsl中做同样的事情

我想,以取代'.net'在'i like .net'用.NET.预期产量:'i like .NET'.

同样'c++'在'i like c++'用Cpp.预期产量:'i like Cpp'.

有更多特殊字符的情况,如'c ++'

import re

regex_match = re.compile(r'\bnet\b')
print(regex_match.sub('NET', 'I like .net'))
# output I like .NET Which works but I need boundary match also.

regex_match = re.compile(r'\b.net\b')
print(regex_match.sub('NET', 'I like .net'))
# output I like .net

regex_match = re.compile(r'\b\.net\b')
print(regex_match.sub('NET', 'I like .net'))
# output I like .net

regex_match = re.compile(r'\b' + re.escape('.net') + '\b')
print(regex_match.sub('NET', …