我试图在VM上安装。我已经创建了主节点、代理节点和工作节点,并且我已经到了安装ICP的最后阶段。不过,我对主机名有问题。错误如下所示:
错误如下:
TASK [check : Validating Hostname is resolvable]
*******************************************************************
skipping: [172.16.22.190]
fatal: [172.16.22.82] => Hostname should be resolved to a valid IP address
fatal
当我在ubuntu linux的终端中运行下面的命令时,我也正确地设置了ClassPath,但是我没有成功。
java jade.Boot -gui
我在终端窗口中看到以下错误:
15 Jun, 2011 6:33:10 PM jade.core.Runtime beginContainer
INFO: ----------------------------------
This is JADE snapshot - revision 6357 of 2010/07/06 16:27:34
downloaded in Open Source, under LGPL r
我使用一个开放的API,使用它的访问键获取下面的信息:
HTTPConnectionPool(host='freeipapi.17mon.cn', port=80): Max retries exceeded with url: /183.11.178.118 (Caused by NewConnectionError('<urllib3.connection.HTTPConnection object at 0x103780780>: Failed to establish a new connection: [Errno 8] nodename nor
我有下面的代码,这是可行的,但我只想要一个整数的列表。如何让python只追加整数,而不是(数组)部分?
import numpy as np
import matplotlib.pyplot as p
icp4 = np.loadtxt(icp4_img)
ptm = np.loadtxt(ptm_img)
inside, outside = [], []
with np.nditer(icp4, op_flags=['readwrite']) as icp_it, np.nditer(ptm, op_flags=['readonly']) as ptm
我有两个文本文件,每个文件的像素强度来自一个图像。通过手动设置阈值将第一个文件转换为二进制图像:
import numpy as np
import matplotlib.pyplot as p
icp4 = np.loadtxt(icp4_img)
with np.nditer(icp4, op_flags=['readwrite']) as it:
for x in it:
if x[...] > 800:
x[...] = 1
else:
x[...] = 0
p.imshow
我有两张桌子: EndToEnd和PartPort。我希望从PartPortA和PartportB中的同一行获取EndToEnd数据,并使用它们查询Partport,并从Partport获取相应的PartGid,这可能位于Partport表的任何行上。到目前为止,我能够做到这一点,但我必须做两个不同的LINQ调用,但我想把它减少到一个。这是我的代码:
// this demonstrates how to join two tables, however only works for one AssetportGid at a time
var part_portGid_a_r
我试着用PCL做ICP手术,
但是pcl::transformPointCloud不能工作。这是我的代码:
int
main ()
{
pcl::PointCloud<pcl::PointXYZI>::Ptr cloudIn (new pcl::PointCloud<pcl::PointXYZI>);
pcl::PointCloud<pcl::PointXYZI>::Ptr cloudOut (new pcl::PointCloud<pcl::PointXYZI>);
pcl::PointCloud<pcl::Point
在ubuntu上,我使用本指南安装了本地集群:
接下来,我想将主机上的一些本地坞映像推送到IBM集群中。我找到了这份指南:
第二条子弹上写着:
Obtain the configure-registry-cert.sh script from your system administrator. The script is located in the /<installation_directory>/misc/configure-registry-cert.sh directory. You must obtain the IBM® Cloud private regist
我需要计算特定产品代码的总价值。产品代码是5780,所有低于5700的都是。
要计算值,我使用以下代码:
CASE WHEN [PC].[ProductCategoryCode] = 5870 THEN [ICP].[UnitCost] * SUM(Sum([PL].[OriginalQuantity_Stk]) / @Credits) OVER (PARTITION BY [PC].[ProductCategoryCode] )
WHEN [PC].[ProductCategoryCode] = 5730 THEN ([ICP].[UnitCost] - 0.25) * SUM(Sum([
我试图使用JDK将不同语言的名称翻译成其他语言。例如:
new Locale("en", "US").getDisplayLanguage(new Locale("en", "US")); // English
new Locale("en", "US").getDisplayLanguage(new Locale("fr", "FR")); // anglais
我想这样做是为了得到“普通话”和“广东话”,但是
new Locale("zh",
我写了一些代码:
def ICP(x):
numofrepeat=0
warning=0
while numofrepeat<len(str(x)) or (x[numofrepeat]==2) or (x[numofrepeat]==3) or (x[numofrepeat]==5) or (x[numofrepeat]==7):
if (x[numofrepeat]==0):
warning=warning+1
if warning>1:
numofrepeat=len(x)
好的,我正在尝试使用NetworkListManager从System.Runtime.InteropServices.ComTypes设置一个网络连接事件,使用以下代码:
private NetworkListManager nlm; //This is initialized before
private IConnectionPoint icp;
private int cookie = 0;
//This part is wrapped in a function call
Console.WriteLine("Subscribing the INetworkListMana
我正在尝试检查存在的临时表,如果是的话,将其放在使用pyodbc的Server中。查询在management中工作,但在python中我得到了错误。
以前的SQL不是一个查询。
cnxn = pyodbc.connect('APP=MyApp;DRIVER={SQL Server Native Client 10.0};SERVER=powerapp6-WRON;DATABASE=ICP;DSN=myserver;Trusted_Connection=yes')
cursor = cnxn.cursor()
cnxn.commit()
for mc in range(
'Dim two date variables
Dim fromDate As Date
Dim toDate As Date
'Dim 4 integer variables
Dim fromyear As Integer
Dim toyear As Integer
Dim frommonth As Integer
Dim ToMonth As Integer
'Store combo box value into these 4 integer variables
fromyear = FromYearC.Value
frommonth = Fr
我试图使用RODBC包查询Microsoft表。以下查询工作良好:
data<-sqlQuery(dcs, 'SELECT Classification_Code, Country_Code FROM ICP_Submissions.dbo.ICP_Fact WHERE Classification_Code IN (\'EXP\') AND Indicator_Code IN (\'1000000\',\'1100000\') ')
但是,如果以下列方式添加命令LIMIT 100
data<-sqlQuery(d