RealVNC 5.0.x now offers a VNCViewer that will do dual displays on Windows without having to buy a license. (Licensing now covers the SERVER portion of their tools).

My issue was as simple as having a null reference that didn't show up in the returned message, I had to debug my API to see it.

Explaining NULL, logically thinking

I guess the obvious answer to all of this is... Don't initialise your variables as NULL, initalise them as something relevant to what they are intended to become.

Treat NULL properly

NULL should be treated as "non-existant value", which is the meaning of NULL. The variable can't be classed as existing to PHP because it hasn't been told what type of entity it is trying to be. It may aswell not exist, so PHP just says "Fine, it doesn't because there's no point to it anyway and NULL is my way of saying this".

An argument

Let's argue now. "But NULL is like saying 0 or FALSE or ''.

Wrong, 0-FALSE-'' are all still classed as empty values, but they ARE specified as some type of value or pre-determined answer to a question. FALSE is the answer to yes or no,'' is the answer to the title someone submitted, and 0 is the answer to quantity or time etc. They ARE set as some type of answer/result which makes them valid as being set.

NULL is just no answer what so ever, it doesn't tell us yes or no and it doesn't tell us the time and it doesn't tell us a blank string got submitted. That's the basic logic in understanding NULL.

Summary

It's not about creating wacky functions to get around the problem, it's just changing the way your brain looks at NULL. If it's NULL, assume it's not set as anything. If you are pre-defining variables then pre-define them as 0, FALSE or "" depending on the type of use you intend for them.

Feel free to quote this. It's off the top of my logical head :)

Simply push this branch to a different branch name

 git push -u origin localBranch:remoteBranch

You can try this.

func convertToJSONString(value: AnyObject) -> String? {
        if JSONSerialization.isValidJSONObject(value) {
            do{
                let data = try JSONSerialization.data(withJSONObject: value, options: [])
                if let string = NSString(data: data, encoding: String.Encoding.utf8.rawValue) {
                    return string as String
                }
            }catch{
            }
        }
        return nil
    }

public int compare(String v1, String v2) {
        v1 = v1.replaceAll("\\s", "");
        v2 = v2.replaceAll("\\s", "");
        String[] a1 = v1.split("\\.");
        String[] a2 = v2.split("\\.");
        List<String> l1 = Arrays.asList(a1);
        List<String> l2 = Arrays.asList(a2);


        int i=0;
        while(true){
            Double d1 = null;
            Double d2 = null;

            try{
                d1 = Double.parseDouble(l1.get(i));
            }catch(IndexOutOfBoundsException e){
            }

            try{
                d2 = Double.parseDouble(l2.get(i));
            }catch(IndexOutOfBoundsException e){
            }

            if (d1 != null && d2 != null) {
                if (d1.doubleValue() > d2.doubleValue()) {
                    return 1;
                } else if (d1.doubleValue() < d2.doubleValue()) {
                    return -1;
                }
            } else if (d2 == null && d1 != null) {
                if (d1.doubleValue() > 0) {
                    return 1;
                }
            } else if (d1 == null && d2 != null) {
                if (d2.doubleValue() > 0) {
                    return -1;
                }
            } else {
                break;
            }
            i++;
        }
        return 0;
    }

This worked for me.

int i = 14;
int j = 26;
int k = Integer.valueOf(String.valueOf(i) + String.valueOf(j));
System.out.println(k);

It turned out as 1426

Use IFS (internal field separator) tool in bash, defines the character using to separate lines into tokens, by default includes <tab> /<space> /<newLine>

step 1: Load the file data and insert into list:

# declaring array list and index iterator
declare -a array=()
i=0

# reading file in row mode, insert each line into array
while IFS= read -r line; do
    array[i]=$line
    let "i++"
    # reading from file path
done < "<yourFullFilePath>"

step 2: now iterate and print the output:

for line in "${array[@]}"
  do
    echo "$line"
  done

echo specific index in array: Accessing to a variable in array:

echo "${array[0]}"

Query to add column with comment are :

alter table table_name 
add( "NISFLAG"    NUMBER(1,0) )

comment on column "ELIXIR"."PRD_INFO_1"."NISPRODGSTAPPL" is 'comment here'

commit;

I came across this fairly recent (compared to the age of the question) TechNet article that includes some of the best techniques I could find on the topic:

WPF: Programmatically Selecting and Focusing a Row or Cell in a DataGrid

It includes details that should cover most requirements. It is important to remember that if you specify custom templates for the DataGridRow for some rows that these won't have DataGridCells inside and then the normal selection mechanisms of the grid doesn't work.

You'll need to be more specific on what datasource you've given the grid to answer the first part of your question, as the others have stated.

You can get the current Application Path using:

string AssemblyPath = Path.GetDirectoryName(System.Reflection.Assembly.GetExecutingAssembly().Location).ToString();

Good Luck!

I assume that the text "username1" is just a placeholder for what will eventually be an actual username. Assuming that,

• If the username is not allowed to have spaces, then just search for everything before the first space or comma (thus finding both "u1 likes this" and "u1, u2, and u3 like this").
• If it is allowed to have a space, it would probably be easier to wrap each username in it's own span tag server-side, before sending it to the client, and then just working with the span tags.

I also had the same issue.Make a directory in dbpath.In my case there wasn't a directory in /data/db .So i created one.Now its working.Make sure to give permission to that directory.

I want to do the same thing but to append a script tag in other frame!

var url = 'library.js'; 
var script = window.parent.frames[1].document.createElement('script' ); 
script.type = 'text/javascript'; 
script.src = url;
$('head',window.parent.frames[1].document).append(script);

Think of it this way, the "Public API Key" is similar to a user name that your database is using as a login to a verification server. The "Private API Key" would then be similar to the password. By the site/databse using this method, the security is maintained on the third party/verification server in order to authentic request of posting or editing your site/database.

The API string is just the URL of the login for your site/database to contact the verification server.

Just bind a trigger with the selector and put the code into the trigger event:

jQuery(function() {
  jQuery("#contentDiv:hidden").show().trigger('show');

  jQuery('#contentDiv').on('show', function() {
    console.log('#contentDiv is now visible');
    // your code here
  });
});

If you are using ThreeTen Backport including ThreeTenABP

    Date input = new Date(); // Imagine your Date here
    LocalDate date = DateTimeUtils.toInstant(input)
            .atZone(ZoneId.systemDefault())
            .toLocalDate();

If you are using the backport of JSR 310, either you haven’t got a Date.toInstant() method or it won’t give you the org.threeten.bp.Instant that you need for you further conversion. Instead you need to use the DateTimeUtils class that comes as part of the backport. The remainder of the conversion is the same, so so is the explanation.

One can create an empty array, fill it (otherwise map will skip it) and then map indexes to values:

Array(8).fill().map((_, i) => i * i);

The itertools module has lots of great stuff in it. So if a standard slice (as used by Levon) does not do what you want, then try the islice function:

from itertools import islice
l = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20]
iterator = islice(l, 10)
for item in iterator:
    print item

If you are dealing with a multi-index dataframe, you may be interested in extracting only the column of one name of the multi-index. You can do this as

df.index.get_level_values('name_sub_index')

and of course name_sub_index must be an element of the FrozenList df.index.names

If you delete an item from a collection, that collection has been changed and you can't continue to enumerate through it.

Instead, use a For loop, such as:

for(int i = dtPerson.Rows.Count-1; i >= 0; i--)
{
    DataRow dr = dtPerson.Rows[i];
    if (dr["name"] == "Joe")
        dr.Delete();
}
dtPerson.AcceptChanges();

Note that you are iterating in reverse to avoid skipping a row after deleting the current index.

You need to use \n inside quotes.

document.getElementById("address_box").value = (title + "\n" + address + "\n" + address2 + "\n" + address3 + "\n" + address4)

\n is called a EOL or line-break, \n is a common EOL marker and is commonly refereed to as LF or line-feed, it is a special ASCII character

The solution above was not working for me. I had to set 'class count to use import with '*'' to a high value, e.g. 999.

Using:

  SELECT t.ctn_no
    FROM YOUR_TABLE t
GROUP BY t.ctn_no
  HAVING COUNT(t.ctn_no) > 1

...will show you the ctn_no value(s) that have duplicates in your table. Adding criteria to the WHERE will allow you to further tune what duplicates there are:

  SELECT t.ctn_no
    FROM YOUR_TABLE t
   WHERE t.s_ind = 'Y'
GROUP BY t.ctn_no
  HAVING COUNT(t.ctn_no) > 1

If you want to see the other column values associated with the duplicate, you'll want to use a self join:

SELECT x.*
  FROM YOUR_TABLE x
  JOIN (SELECT t.ctn_no
          FROM YOUR_TABLE t
      GROUP BY t.ctn_no
        HAVING COUNT(t.ctn_no) > 1) y ON y.ctn_no = x.ctn_no

As I wrote in the edits of the op, to edit existing excel documents you must use the xlutils module (Thanks Oliver)

Here is the proper way to do it:

#xlrd, xlutils and xlwt modules need to be installed.  
#Can be done via pip install <module>
from xlrd import open_workbook
from xlutils.copy import copy

rb = open_workbook("names.xls")
wb = copy(rb)

s = wb.get_sheet(0)
s.write(0,0,'A1')
wb.save('names.xls')

This replaces the contents of the cell located at a1 in the first sheet of "names.xls" with the text "a1", and then saves the document.

Update

All modern browsers now support the unprefixed event:

element.addEventListener('transitionend', callback, false);

https://caniuse.com/#feat=css-transitions

I was using the approach given by Pete, however I have now started using the following

$(".myClass").one('transitionend webkitTransitionEnd oTransitionEnd otransitionend MSTransitionEnd', 
function() {
 //do something
});

Alternatively if you use bootstrap then you can simply do

$(".myClass").one($.support.transition.end,
function() {
 //do something
});

This is becuase they include the following in bootstrap.js

+function ($) {
  'use strict';

  // CSS TRANSITION SUPPORT (Shoutout: http://www.modernizr.com/)
  // ============================================================

  function transitionEnd() {
    var el = document.createElement('bootstrap')

    var transEndEventNames = {
      'WebkitTransition' : 'webkitTransitionEnd',
      'MozTransition'    : 'transitionend',
      'OTransition'      : 'oTransitionEnd otransitionend',
      'transition'       : 'transitionend'
    }

    for (var name in transEndEventNames) {
      if (el.style[name] !== undefined) {
        return { end: transEndEventNames[name] }
      }
    }

    return false // explicit for ie8 (  ._.)
  }


  $(function () {
    $.support.transition = transitionEnd()
  })

}(jQuery);

Note they also include an emulateTransitionEnd function which may be needed to ensure a callback always occurs.

  // http://blog.alexmaccaw.com/css-transitions
  $.fn.emulateTransitionEnd = function (duration) {
    var called = false, $el = this
    $(this).one($.support.transition.end, function () { called = true })
    var callback = function () { if (!called) $($el).trigger($.support.transition.end) }
    setTimeout(callback, duration)
    return this
  }

Be aware that sometimes this event doesn’t fire, usually in the case when properties don’t change or a paint isn’t triggered. To ensure we always get a callback, let’s set a timeout that’ll trigger the event manually.

http://blog.alexmaccaw.com/css-transitions

cdate(Format([Datum im Format DDMMYYYY],'##/##/####') ) 

converts string without punctuation characters into date

There is no such thing as array constant in Go.

Quoting from the Go Language Specification: Constants:

There are boolean constants, rune constants, integer constants, floating-point constants, complex constants, and string constants. Rune, integer, floating-point, and complex constants are collectively called numeric constants.

A Constant expression (which is used to initialize a constant) may contain only constant operands and are evaluated at compile time.

The specification lists the different types of constants. Note that you can create and initialize constants with constant expressions of types having one of the allowed types as the underlying type. For example this is valid:

func main() {
    type Myint int
    const i1 Myint = 1
    const i2 = Myint(2)
    fmt.Printf("%T %v\n", i1, i1)
    fmt.Printf("%T %v\n", i2, i2)
}

Output (try it on the Go Playground):

main.Myint 1
main.Myint 2

If you need an array, it can only be a variable, but not a constant.

I recommend this great blog article about constants: Constants

Use current_url element for Python 2:

print browser.current_url

For Python 3 and later versions of selenium:

print(driver.current_url)

Here's a little "coup de pouce"

Public Class DataGridViewRHEx
Inherits DataGridView

Protected Overrides Function CreateRowsInstance() As System.Windows.Forms.DataGridViewRowCollection
    Dim dgvRowCollec As DataGridViewRowCollection = MyBase.CreateRowsInstance()
    AddHandler dgvRowCollec.CollectionChanged, AddressOf dvgRCChanged
    Return dgvRowCollec
End Function

Private Sub dvgRCChanged(sender As Object, e As System.ComponentModel.CollectionChangeEventArgs)
    If e.Action = System.ComponentModel.CollectionChangeAction.Add Then
        Dim dgvRow As DataGridViewRow = e.Element
        dgvRow.DefaultHeaderCellType = GetType(DataGridViewRowHeaderCellEx)
    End If
End Sub
End Class

Public Class DataGridViewRowHeaderCellEx
Inherits DataGridViewRowHeaderCell

Protected Overrides Sub Paint(graphics As System.Drawing.Graphics, clipBounds As System.Drawing.Rectangle, cellBounds As System.Drawing.Rectangle, rowIndex As Integer, dataGridViewElementState As System.Windows.Forms.DataGridViewElementStates, value As Object, formattedValue As Object, errorText As String, cellStyle As System.Windows.Forms.DataGridViewCellStyle, advancedBorderStyle As System.Windows.Forms.DataGridViewAdvancedBorderStyle, paintParts As System.Windows.Forms.DataGridViewPaintParts)
    If Not Me.OwningRow.DataBoundItem Is Nothing Then
        If TypeOf Me.OwningRow.DataBoundItem Is DataRowView Then

        End If
    End If
'HERE YOU CAN USE DATAGRIDROW TAG TO PAINT STRING

    formattedValue = CStr(Me.DataGridView.Rows(rowIndex).Tag)
    MyBase.Paint(graphics, clipBounds, cellBounds, rowIndex, dataGridViewElementState, value, formattedValue, errorText, cellStyle, advancedBorderStyle, paintParts)
End Sub
End Class

Right click your project in eclipse, build path -> add external jars.

Here is my simple but efficient algorithm (in C++) for calculating running median from a stream of integers:

#include<algorithm>
#include<fstream>
#include<vector>
#include<list>

using namespace std;

void runningMedian(std::ifstream& ifs, std::ofstream& ofs, const unsigned bufSize) {
    if (bufSize < 1)
        throw exception("Wrong buffer size.");
    bool evenSize = bufSize % 2 == 0 ? true : false;
    list<int> q;
    vector<int> nums;
    int n;
    unsigned count = 0;
    while (ifs.good()) {
        ifs >> n;
        q.push_back(n);
        auto ub = std::upper_bound(nums.begin(), nums.end(), n);
        nums.insert(ub, n);
        count++;
        if (nums.size() >= bufSize) {
            auto it = std::find(nums.begin(), nums.end(), q.front());
            nums.erase(it);
            q.pop_front();
            if (evenSize)
                ofs << count << ": " << (static_cast<double>(nums[nums.size() / 2 - 1] +
                static_cast<double>(nums[nums.size() / 2]))) / 2.0 << '\n';
            else
                ofs << count << ": " << static_cast<double>(nums[nums.size() / 2]);
        }
    }
}

The bufferSize specifies the size of the numbers sequence, on which the running median must be calculated. When reading numbers from the input stream ifs the vector of the size bufferSize is maintained in sorted order. The median is calculated by taking the middle of the sorted vector, if bufferSize is odd, or the sum of the two middle elements divided by 2, when bufferSize is even. Additinally, I maintain a list of last bufferSize elements read from input. When a new element is added, I put it in the right place in sorted vector and remove from the vector the element added bufferSize steps before (the value of the element retained in the front of the list). In the same time I remove the old element from the list: every new element is placed on the back of the list, every old element is removed from the front. After reaching the bufferSize, both the list and the vector stop to grow, and every insertion of a new element is compensated be deletion of an old element, placed in the list bufferSize steps before. Note, I do not care, whether I remove from the vector exactly the element, placed bufferSize steps before, or just an element that has the same value. For the value of median it does not matter. All calculated median values are output in the output stream.

Try this:
1. Install Node.js from https://nodejs.org/
2. Place your JavaScript code into a .js file (e.g. someCode.js)
3. Open a cmd shell (or Terminal on Mac) and use Node's Read-Eval-Print-Loop (REPL) to execute someCode.js like this:
> node someCode.js

Hope this helps!

I have a stored procedure that I have put together, that deals not only with locks and blocking, but also to see what is running in a server. I have put it in master. I will share it with you, the code is below:

USE [master]
go


CREATE PROCEDURE [dbo].[sp_radhe] 

AS
BEGIN

SET TRANSACTION ISOLATION LEVEL READ UNCOMMITTED


-- the current_processes
-- marcelo miorelli 
-- CCHQ 
-- 04 MAR 2013 Wednesday

SELECT es.session_id AS session_id
,COALESCE(es.original_login_name, '') AS login_name
,COALESCE(es.host_name,'') AS hostname
,COALESCE(es.last_request_end_time,es.last_request_start_time) AS last_batch
,es.status
,COALESCE(er.blocking_session_id,0) AS blocked_by
,COALESCE(er.wait_type,'MISCELLANEOUS') AS waittype
,COALESCE(er.wait_time,0) AS waittime
,COALESCE(er.last_wait_type,'MISCELLANEOUS') AS lastwaittype
,COALESCE(er.wait_resource,'') AS waitresource
,coalesce(db_name(er.database_id),'No Info') as dbid
,COALESCE(er.command,'AWAITING COMMAND') AS cmd
,sql_text=st.text
,transaction_isolation =
CASE es.transaction_isolation_level
    WHEN 0 THEN 'Unspecified'
    WHEN 1 THEN 'Read Uncommitted'
    WHEN 2 THEN 'Read Committed'
    WHEN 3 THEN 'Repeatable'
    WHEN 4 THEN 'Serializable'
    WHEN 5 THEN 'Snapshot'
END
,COALESCE(es.cpu_time,0) 
    + COALESCE(er.cpu_time,0) AS cpu
,COALESCE(es.reads,0) 
    + COALESCE(es.writes,0) 
    + COALESCE(er.reads,0) 
+ COALESCE(er.writes,0) AS physical_io
,COALESCE(er.open_transaction_count,-1) AS open_tran
,COALESCE(es.program_name,'') AS program_name
,es.login_time
FROM sys.dm_exec_sessions es
LEFT OUTER JOIN sys.dm_exec_connections ec ON es.session_id = ec.session_id
LEFT OUTER JOIN sys.dm_exec_requests er ON es.session_id = er.session_id
LEFT OUTER JOIN sys.server_principals sp ON es.security_id = sp.sid
LEFT OUTER JOIN sys.dm_os_tasks ota ON es.session_id = ota.session_id
LEFT OUTER JOIN sys.dm_os_threads oth ON ota.worker_address = oth.worker_address
CROSS APPLY sys.dm_exec_sql_text(er.sql_handle) AS st
where es.is_user_process = 1 
  and es.session_id <> @@spid
  and es.status = 'running'
ORDER BY es.session_id

end 

GO

this procedure has done very good for me in the last couple of years. to run it just type sp_radhe

Regarding putting sp_radhe in the master database

I use the following code and make it a system stored procedure

exec sys.sp_MS_marksystemobject 'sp_radhe'

as you can see on the link below

Creating Your Own SQL Server System Stored Procedures

Regarding the transaction isolation level

Questions About T-SQL Transaction Isolation Levels You Were Too Shy to Ask

Jonathan Kehayias

Once you change the transaction isolation level it only changes when the scope exits at the end of the procedure or a return call, or if you change it explicitly again using SET TRANSACTION ISOLATION LEVEL.

In addition the TRANSACTION ISOLATION LEVEL is only scoped to the stored procedure, so you can have multiple nested stored procedures that execute at their own specific isolation levels.

PrincipalContext for browsing the AD is ridiculously slow (only use it for .ValidateCredentials, see below), use DirectoryEntry instead and .PropertiesToLoad() so you only pay for what you need.

Filters and syntax here: https://social.technet.microsoft.com/wiki/contents/articles/5392.active-directory-ldap-syntax-filters.aspx

Attributes here: https://docs.microsoft.com/en-us/windows/win32/adschema/attributes-all

using (var root = new DirectoryEntry($"LDAP://{Domain}"))
{
    using (var searcher = new DirectorySearcher(root))
    {
        // looking for a specific user
        searcher.Filter = $"(&(objectCategory=person)(objectClass=user)(sAMAccountName={username}))";
        // I only care about what groups the user is a memberOf
        searcher.PropertiesToLoad.Add("memberOf");

        // FYI, non-null results means the user was found
        var results = searcher.FindOne();

        var properties = results?.Properties;
        if (properties?.Contains("memberOf") == true)
        {
            // ... iterate over all the groups the user is a member of
        }
    }
}

Clean, simple, fast. No magic, no half-documented calls to .RefreshCache to grab the tokenGroups or to .Bind or .NativeObject in a try/catch to validate credentials.

For authenticating the user:

using (var context = new PrincipalContext(ContextType.Domain))
{
    return context.ValidateCredentials(username, password);
}

Here's a simple number padding function that I use usually. It allows for any amount of padding.

function leftPad(number, targetLength) {
    var output = number + '';
    while (output.length < targetLength) {
        output = '0' + output;
    }
    return output;
}

Examples:

leftPad(1, 2) // 01
leftPad(10, 2) // 10
leftPad(100, 2) // 100
leftPad(1, 3) // 001
leftPad(1, 8) // 00000001

If you can use PL/SQL, try (EDIT: Incorporates Neil's xlnt suggestion to start at next higher value):

SELECT 'CREATE SEQUENCE transaction_sequence MINVALUE 0 START WITH '||MAX(trans_seq_no)+1||' INCREMENT BY 1 CACHE 20'
  INTO v_sql
  FROM transaction_log;

EXECUTE IMMEDIATE v_sql;

Another point to consider: By setting the CACHE parameter to 20, you run the risk of losing up to 19 values in your sequence if the database goes down. CACHEd values are lost on database restarts. Unless you're hitting the sequence very often, or, you don't care that much about gaps, I'd set it to 1.

One final nit: the values you specified for CACHE and INCREMENT BY are the defaults. You can leave them off and get the same result.

For those who use Google Guava:

import com.google.common.html.HtmlEscapers;
[...]
String source = "The less than sign (<) and ampersand (&) must be escaped before using them in HTML";
String escaped = HtmlEscapers.htmlEscaper().escape(source);

The Microsoft Pvk2Pfx command line utility seems to have the functionality you need:

Pvk2Pfx (Pvk2Pfx.exe) is a command-line tool copies public key and private key information contained in .spc, .cer, and .pvk files to a Personal Information Exchange (.pfx) file.
http://msdn.microsoft.com/en-us/library/windows/hardware/ff550672(v=vs.85).aspx

Note: if you need/want/prefer a C# solution, then you may want to consider using the http://www.bouncycastle.org/ api.

Okay so there might be various reasons behind Sql Server Management Studio's(SSMS) above behaviour:

1.It seems that if our SSMS hasn't been opened for quite some while, the OS puts it to sleep.The solution is to manually activate our SQL server as shown below:

• Go to Computer Management-->Services and Applications-->Services. As you see that the status of this service is currently blank which means that it has stopped.
• Double click the SQL Server option and a wizard box will popup as shown below.Set the startup type to "Automatic" and click on the start button which will start our SQL service.
• Now check the status of your SQL Server. It will display as "Running".
• Also you need to check that other associated services which are also required by our SQL Server to fully function are also up and running such as SQL Server Browser,SQL Server Agent,etc.

2.The second reason could be due to incorrect credentials entered.So enter in the correct credentials.

3.If you happen to forget your credentials then follow the below steps:

• First what you could do is sign in using "Windows Authentication" instead of "SQL Server Authentication".This will work only if you are logged in as administrator.
• Second case what if you forget your local server name? No issues simply use "." instead of your server name and it should work.

NOTE: This will only work for local server and not for remote server.To connect to a remote server you need to have an I.P. address of your remote server.

I was able to solve a problem similar to this in Visual Studio 2010 by using NuGet.

Go to Tools > Library Package Manager > Manage NuGet Packages For Solution...

In the dialog, search for "EntityFramework.SqlServerCompact". You'll find a package with the description "Allows SQL Server Compact 4.0 to be used with Entity Framework." Install this package.

An element similar to the following will be inserted in your web.config:

<entityFramework>
  <defaultConnectionFactory type="System.Data.Entity.Infrastructure.SqlCeConnectionFactory, EntityFramework">
    <parameters>
      <parameter value="System.Data.SqlServerCe.4.0" />
    </parameters>
  </defaultConnectionFactory>
</entityFramework>

In the command line you can type java -version

If notepad is already started, you should write:

// import the function in your class
[DllImport ("User32.dll")]
static extern int SetForegroundWindow(IntPtr point);

//...

Process p = Process.GetProcessesByName("notepad").FirstOrDefault();
if (p != null)
{
    IntPtr h = p.MainWindowHandle;
    SetForegroundWindow(h);
    SendKeys.SendWait("k");
}

GetProcessesByName returns an array of processes, so you should get the first one (or find the one you want).

If you want to start notepad and send the key, you should write:

Process p = Process.Start("notepad.exe");
p.WaitForInputIdle();
IntPtr h = p.MainWindowHandle;
SetForegroundWindow(h);
SendKeys.SendWait("k");

The only situation in which the code may not work is when notepad is started as Administrator and your application is not.

int64_t is typedef you can find that in <stdint.h> in C

This should be a simple solution:

public void correctWidth(TextView textView, int desiredWidth)
{
    Paint paint = new Paint();
    Rect bounds = new Rect();

    paint.setTypeface(textView.getTypeface());
    float textSize = textView.getTextSize();
    paint.setTextSize(textSize);
    String text = textView.getText().toString();
    paint.getTextBounds(text, 0, text.length(), bounds);

    while (bounds.width() > desiredWidth)
    {
        textSize--;
        paint.setTextSize(textSize);
        paint.getTextBounds(text, 0, text.length(), bounds);
    }

    textView.setTextSize(TypedValue.COMPLEX_UNIT_PX, textSize);
}

You may want to read this document in matplotlib's documentation, titled:

Using matplotlib in a python shell

If you are talking about the length of the string, you can use len():

>>> s = 'please answer my question'
>>> len(s)  # number of characters in s
25

If you need the size of the string in bytes, you need sys.getsizeof():

>>> import sys
>>> sys.getsizeof(s)
58

Also, don't call your string variable str. It shadows the built-in str() function.

After hours of effort, system restore, register, unregister cycles and a night's sleep I have managed to pinpoint the problem. It turns out that the project file contains the below line:

Object={831FDD16-0C5C-11D2-A9FC-0000F8754DA1}#2.0#0; MSCOMCTL.OCX

The version information "2.0" it seems was the reason of not loading. Changing it to "2.1" in notepad solved the problem:

Object={831FDD16-0C5C-11D2-A9FC-0000F8754DA1}#2.1#0; MSCOMCTL.OCX

So in a similar "OCX could not be loaded" situation one possible way of resolution is to start a new project. Put the control on one of the forms and check the vbp file with notepad to see what version it is expecting.

OR A MUCH EASIER METHOD:

(I have added this section after Bob's valuable comment below)

You can open your VBP project file in Notepad and find the nasty line that is preventing VB6 to upgrade the project automatically to 2.1 and remove it:

NoControlUpgrade=1

the boolean value of an empty QuerySet is also False, so you could also just do...

...
if not user_object:
   do insert or whatever etc.

Database tables

To demonstrate how the USING and ON clauses work, let's assume we have the following post and post_comment database tables, which form a one-to-many table relationship via the post_id Foreign Key column in the post_comment table referencing the post_id Primary Key column in the post table:

The parent post table has 3 rows:

| post_id | title     |
|---------|-----------|
| 1       | Java      |
| 2       | Hibernate |
| 3       | JPA       |

and the post_comment child table has the 3 records:

| post_comment_id | review    | post_id |
|-----------------|-----------|---------|
| 1               | Good      | 1       |
| 2               | Excellent | 1       |
| 3               | Awesome   | 2       |

The JOIN ON clause using a custom projection

Traditionally, when writing an INNER JOIN or LEFT JOIN query, we happen to use the ON clause to define the join condition.

For example, to get the comments along with their associated post title and identifier, we can use the following SQL projection query:

SELECT
   post.post_id,
   title,
   review
FROM post
INNER JOIN post_comment ON post.post_id = post_comment.post_id
ORDER BY post.post_id, post_comment_id

And, we get back the following result set:

| post_id | title     | review    |
|---------|-----------|-----------|
| 1       | Java      | Good      |
| 1       | Java      | Excellent |
| 2       | Hibernate | Awesome   |

The JOIN USING clause using a custom projection

When the Foreign Key column and the column it references have the same name, we can use the USING clause, like in the following example:

SELECT
  post_id,
  title,
  review
FROM post
INNER JOIN post_comment USING(post_id)
ORDER BY post_id, post_comment_id

And, the result set for this particular query is identical to the previous SQL query that used the ON clause:

| post_id | title     | review    |
|---------|-----------|-----------|
| 1       | Java      | Good      |
| 1       | Java      | Excellent |
| 2       | Hibernate | Awesome   |

The USING clause works for Oracle, PostgreSQL, MySQL, and MariaDB. SQL Server doesn't support the USING clause, so you need to use the ON clause instead.

The USING clause can be used with INNER, LEFT, RIGHT, and FULL JOIN statements.

SQL JOIN ON clause with SELECT *

Now, if we change the previous ON clause query to select all columns using SELECT *:

SELECT *
FROM post
INNER JOIN post_comment ON post.post_id = post_comment.post_id
ORDER BY post.post_id, post_comment_id

We are going to get the following result set:

| post_id | title     | post_comment_id | review    | post_id |
|---------|-----------|-----------------|-----------|---------|
| 1       | Java      | 1               | Good      | 1       |
| 1       | Java      | 2               | Excellent | 1       |
| 2       | Hibernate | 3               | Awesome   | 2       |

As you can see, the post_id is duplicated because both the post and post_comment tables contain a post_id column.

SQL JOIN USING clause with SELECT *

On the other hand, if we run a SELECT * query that features the USING clause for the JOIN condition:

SELECT *
FROM post
INNER JOIN post_comment USING(post_id)
ORDER BY post_id, post_comment_id

We will get the following result set:

| post_id | title     | post_comment_id | review    |
|---------|-----------|-----------------|-----------|
| 1       | Java      | 1               | Good      |
| 1       | Java      | 2               | Excellent |
| 2       | Hibernate | 3               | Awesome   |

You can see that this time, the post_id column is deduplicated, so there is a single post_id column being included in the result set.

Conclusion

If the database schema is designed so that Foreign Key column names match the columns they reference, and the JOIN conditions only check if the Foreign Key column value is equal to the value of its mirroring column in the other table, then you can employ the USING clause.

Otherwise, if the Foreign Key column name differs from the referencing column or you want to include a more complex join condition, then you should use the ON clause instead.

Since .NET 4.7.1, you can use the side-effect free Prepend() and Append(). The output is going to be an IEnumerable.

// Creating an array of numbers
var ti = new List<int> { 1, 2, 3 };

// Prepend and Append any value of the same type
var results = ti.Prepend(0).Append(4);

// output is 0, 1, 2, 3, 4
Console.WriteLine(string.Join(", ", results ));

Once I changed Options -Index to Options +Index in my conf file, I removed the welcome page and restarted services.

$ sudo rm -f /etc/httpd/conf.d/welcome.conf
$ sudo service httpd restart

I was able to see directory listings after that.

MySQL says:

All integer types can have an optional (nonstandard) attribute UNSIGNED. Unsigned type can be used to permit only nonnegative numbers in a column or when you need a larger upper numeric range for the column. For example, if an INT column is UNSIGNED, the size of the column's range is the same but its endpoints shift from -2147483648 and 2147483647 up to 0 and 4294967295.

When do I use it ?

Ask yourself this question: Will this field ever contain a negative value?
If the answer is no, then you want an UNSIGNED data type.

A common mistake is to use a primary key that is an auto-increment INT starting at zero, yet the type is SIGNED, in that case you’ll never touch any of the negative numbers and you are reducing the range of possible id's to half.

OR conditions can be generated like this:

$collection->addFieldToFilter(
    array('field_1', 'field_2', 'field_3'), // columns
    array( // conditions
        array( // conditions for field_1
            array('in' => array('text_1', 'text_2', 'text_3')),
            array('like' => '%text')
        ),
        array('eq' => 'exact'), // condition for field 2
        array('in' => array('val_1', 'val_2')) // condition for field 3
    )
);

This will generate an SQL WHERE condition something like:

... WHERE (
         (field_1 IN ('text_1', 'text_2', 'text_3') OR field_1 LIKE '%text')
      OR (field_2 = 'exact')
      OR (field_3 IN ('val_1', 'val_2'))
    )

Each nested array(<condition>) generates another set of parentheses for an OR condition.

There is no semicolon at the end of that instruction causing the error.

EDIT

Like RiverC pointed out, there is no semicolon at the end of the previous line!

require ("scripts/connect.php") 

EDIT

It seems you have no-semicolons whatsoever.

http://php.net/manual/en/language.basic-syntax.instruction-separation.php

As in C or Perl, PHP requires instructions to be terminated with a semicolon at the end of each statement.

There are several ways to select rows from a Pandas dataframe:

1. Boolean indexing (df[df['col'] == value] )
2. Positional indexing (df.iloc[...])
3. Label indexing (df.xs(...))
4. df.query(...) API

Below I show you examples of each, with advice when to use certain techniques. Assume our criterion is column 'A' == 'foo'

(Note on performance: For each base type, we can keep things simple by using the Pandas API or we can venture outside the API, usually into NumPy, and speed things up.)

Setup

The first thing we'll need is to identify a condition that will act as our criterion for selecting rows. We'll start with the OP's case column_name == some_value, and include some other common use cases.

Borrowing from @unutbu:

import pandas as pd, numpy as np

df = pd.DataFrame({'A': 'foo bar foo bar foo bar foo foo'.split(),
                   'B': 'one one two three two two one three'.split(),
                   'C': np.arange(8), 'D': np.arange(8) * 2})

1. Boolean indexing

... Boolean indexing requires finding the true value of each row's 'A' column being equal to 'foo', then using those truth values to identify which rows to keep. Typically, we'd name this series, an array of truth values, mask. We'll do so here as well.

mask = df['A'] == 'foo'

We can then use this mask to slice or index the data frame

df[mask]

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

This is one of the simplest ways to accomplish this task and if performance or intuitiveness isn't an issue, this should be your chosen method. However, if performance is a concern, then you might want to consider an alternative way of creating the mask.

2. Positional indexing

Positional indexing (df.iloc[...]) has its use cases, but this isn't one of them. In order to identify where to slice, we first need to perform the same boolean analysis we did above. This leaves us performing one extra step to accomplish the same task.

mask = df['A'] == 'foo'
pos = np.flatnonzero(mask)
df.iloc[pos]

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

3. Label indexing

Label indexing can be very handy, but in this case, we are again doing more work for no benefit

df.set_index('A', append=True, drop=False).xs('foo', level=1)

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

4. df.query() API

pd.DataFrame.query is a very elegant/intuitive way to perform this task, but is often slower. However, if you pay attention to the timings below, for large data, the query is very efficient. More so than the standard approach and of similar magnitude as my best suggestion.

df.query('A == "foo"')

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

My preference is to use the Boolean mask

Actual improvements can be made by modifying how we create our Boolean mask.

mask alternative 1 Use the underlying NumPy array and forgo the overhead of creating another pd.Series

mask = df['A'].values == 'foo'

I'll show more complete time tests at the end, but just take a look at the performance gains we get using the sample data frame. First, we look at the difference in creating the mask

%timeit mask = df['A'].values == 'foo'
%timeit mask = df['A'] == 'foo'

5.84 µs ± 195 ns per loop (mean ± std. dev. of 7 runs, 100000 loops each)
166 µs ± 4.45 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)

Evaluating the mask with the NumPy array is ~ 30 times faster. This is partly due to NumPy evaluation often being faster. It is also partly due to the lack of overhead necessary to build an index and a corresponding pd.Series object.

Next, we'll look at the timing for slicing with one mask versus the other.

mask = df['A'].values == 'foo'
%timeit df[mask]
mask = df['A'] == 'foo'
%timeit df[mask]

219 µs ± 12.3 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
239 µs ± 7.03 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)

The performance gains aren't as pronounced. We'll see if this holds up over more robust testing.

mask alternative 2 We could have reconstructed the data frame as well. There is a big caveat when reconstructing a dataframe—you must take care of the dtypes when doing so!

Instead of df[mask] we will do this

pd.DataFrame(df.values[mask], df.index[mask], df.columns).astype(df.dtypes)

If the data frame is of mixed type, which our example is, then when we get df.values the resulting array is of dtype object and consequently, all columns of the new data frame will be of dtype object. Thus requiring the astype(df.dtypes) and killing any potential performance gains.

%timeit df[m]
%timeit pd.DataFrame(df.values[mask], df.index[mask], df.columns).astype(df.dtypes)

216 µs ± 10.4 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)
1.43 ms ± 39.6 µs per loop (mean ± std. dev. of 7 runs, 1000 loops each)

However, if the data frame is not of mixed type, this is a very useful way to do it.

Given

np.random.seed([3,1415])
d1 = pd.DataFrame(np.random.randint(10, size=(10, 5)), columns=list('ABCDE'))

d1

   A  B  C  D  E
0  0  2  7  3  8
1  7  0  6  8  6
2  0  2  0  4  9
3  7  3  2  4  3
4  3  6  7  7  4
5  5  3  7  5  9
6  8  7  6  4  7
7  6  2  6  6  5
8  2  8  7  5  8
9  4  7  6  1  5

%%timeit
mask = d1['A'].values == 7
d1[mask]

179 µs ± 8.73 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)

Versus

%%timeit
mask = d1['A'].values == 7
pd.DataFrame(d1.values[mask], d1.index[mask], d1.columns)

87 µs ± 5.12 µs per loop (mean ± std. dev. of 7 runs, 10000 loops each)

We cut the time in half.

mask alternative 3

@unutbu also shows us how to use pd.Series.isin to account for each element of df['A'] being in a set of values. This evaluates to the same thing if our set of values is a set of one value, namely 'foo'. But it also generalizes to include larger sets of values if needed. Turns out, this is still pretty fast even though it is a more general solution. The only real loss is in intuitiveness for those not familiar with the concept.

mask = df['A'].isin(['foo'])
df[mask]

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

However, as before, we can utilize NumPy to improve performance while sacrificing virtually nothing. We'll use np.in1d

mask = np.in1d(df['A'].values, ['foo'])
df[mask]

     A      B  C   D
0  foo    one  0   0
2  foo    two  2   4
4  foo    two  4   8
6  foo    one  6  12
7  foo  three  7  14

Timing

I'll include other concepts mentioned in other posts as well for reference.

Code Below

Each column in this table represents a different length data frame over which we test each function. Each column shows relative time taken, with the fastest function given a base index of 1.0.

res.div(res.min())

                         10        30        100       300       1000      3000      10000     30000
mask_standard         2.156872  1.850663  2.034149  2.166312  2.164541  3.090372  2.981326  3.131151
mask_standard_loc     1.879035  1.782366  1.988823  2.338112  2.361391  3.036131  2.998112  2.990103
mask_with_values      1.010166  1.000000  1.005113  1.026363  1.028698  1.293741  1.007824  1.016919
mask_with_values_loc  1.196843  1.300228  1.000000  1.000000  1.038989  1.219233  1.037020  1.000000
query                 4.997304  4.765554  5.934096  4.500559  2.997924  2.397013  1.680447  1.398190
xs_label              4.124597  4.272363  5.596152  4.295331  4.676591  5.710680  6.032809  8.950255
mask_with_isin        1.674055  1.679935  1.847972  1.724183  1.345111  1.405231  1.253554  1.264760
mask_with_in1d        1.000000  1.083807  1.220493  1.101929  1.000000  1.000000  1.000000  1.144175

You'll notice that the fastest times seem to be shared between mask_with_values and mask_with_in1d.

res.T.plot(loglog=True)

Functions

def mask_standard(df):
    mask = df['A'] == 'foo'
    return df[mask]

def mask_standard_loc(df):
    mask = df['A'] == 'foo'
    return df.loc[mask]

def mask_with_values(df):
    mask = df['A'].values == 'foo'
    return df[mask]

def mask_with_values_loc(df):
    mask = df['A'].values == 'foo'
    return df.loc[mask]

def query(df):
    return df.query('A == "foo"')

def xs_label(df):
    return df.set_index('A', append=True, drop=False).xs('foo', level=-1)

def mask_with_isin(df):
    mask = df['A'].isin(['foo'])
    return df[mask]

def mask_with_in1d(df):
    mask = np.in1d(df['A'].values, ['foo'])
    return df[mask]

Testing

res = pd.DataFrame(
    index=[
        'mask_standard', 'mask_standard_loc', 'mask_with_values', 'mask_with_values_loc',
        'query', 'xs_label', 'mask_with_isin', 'mask_with_in1d'
    ],
    columns=[10, 30, 100, 300, 1000, 3000, 10000, 30000],
    dtype=float
)

for j in res.columns:
    d = pd.concat([df] * j, ignore_index=True)
    for i in res.index:a
        stmt = '{}(d)'.format(i)
        setp = 'from __main__ import d, {}'.format(i)
        res.at[i, j] = timeit(stmt, setp, number=50)

Special Timing

Looking at the special case when we have a single non-object dtype for the entire data frame.

Code Below

spec.div(spec.min())

                     10        30        100       300       1000      3000      10000     30000
mask_with_values  1.009030  1.000000  1.194276  1.000000  1.236892  1.095343  1.000000  1.000000
mask_with_in1d    1.104638  1.094524  1.156930  1.072094  1.000000  1.000000  1.040043  1.027100
reconstruct       1.000000  1.142838  1.000000  1.355440  1.650270  2.222181  2.294913  3.406735

Turns out, reconstruction isn't worth it past a few hundred rows.

spec.T.plot(loglog=True)

Functions

np.random.seed([3,1415])
d1 = pd.DataFrame(np.random.randint(10, size=(10, 5)), columns=list('ABCDE'))

def mask_with_values(df):
    mask = df['A'].values == 'foo'
    return df[mask]

def mask_with_in1d(df):
    mask = np.in1d(df['A'].values, ['foo'])
    return df[mask]

def reconstruct(df):
    v = df.values
    mask = np.in1d(df['A'].values, ['foo'])
    return pd.DataFrame(v[mask], df.index[mask], df.columns)

spec = pd.DataFrame(
    index=['mask_with_values', 'mask_with_in1d', 'reconstruct'],
    columns=[10, 30, 100, 300, 1000, 3000, 10000, 30000],
    dtype=float
)

Testing

for j in spec.columns:
    d = pd.concat([df] * j, ignore_index=True)
    for i in spec.index:
        stmt = '{}(d)'.format(i)
        setp = 'from __main__ import d, {}'.format(i)
        spec.at[i, j] = timeit(stmt, setp, number=50)

I had the same issue after I started using Xcode 6.1 and changed my launcher images. I had all images in an Asset Catalog. I would get only a black screen instead of the expected static image. After trying so many things, I realised the problem was that the Asset Catalog had the Project 'Target Membership' ticked-off in its FileInspector view. Ticking it to ON did the magic and the image started to appear on App launch.

This error is because of you are importing below two classes import sun.misc.BASE64Encoder; import sun.misc.BASE64Decoder;. Maybe you are using encode and decode of that library like below.

new BASE64Encoder().encode(encVal);
newBASE64Decoder().decodeBuffer(encryptedData);

Yeah instead of sun.misc.BASE64Encoder you can import java.util.Base64 class.Now change the previous encode method as below:

encryptedData=Base64.getEncoder().encodeToString(encryptedByteArray);

Now change the previous decode method as below

byte[] base64DecodedData = Base64.getDecoder().decode(base64EncodedData);

Now everything is done , you can save your program and run. It will run without showing any error.

Are you referring to the full resolution one?:

https://img.youtube.com/vi/<insert-youtube-video-id-here>/maxresdefault.jpg

I don't believe you can get 'multiple' images of HQ because the one you have is the one.

Check the following answer out for more information on the URLs: How do I get a YouTube video thumbnail from the YouTube API?

For live videos use https://img.youtube.com/vi/<insert-youtube-video-id-here>/maxresdefault_live.jpg

- cornips

You can make sure that the object in question is stringified before passing it to parse function by simply using JSON.stringify() .

Updated your line below,

JSON.parse(JSON.stringify({"balance":0,"count":0,"time":1323973673061,"firstname":"howard","userId":5383,"localid":1,"freeExpiration":0,"status":false}));

or if you have JSON stored in some variable:

JSON.parse(JSON.stringify(yourJSONobject));

Here a performance test with multiples alternatives (some are case sensitive and others case insensitive):

public static void main(String[] args) {
    // Why 4 * 4:
    // The test contains 3 values (val1, val2 and val3). Checking 4 combinations will check the match on all values, and the non match;
    // Try 4 times: lowercase, UPPERCASE, prefix + lowercase, prefix + UPPERCASE;
    final int NUMBER_OF_TESTS = 4 * 4;
    final int EXCUTIONS_BY_TEST = 1_000_000;
    int numberOfMatches;
    int numberOfExpectedCaseSensitiveMatches;
    int numberOfExpectedCaseInsensitiveMatches;
    // Start at -1, because the first execution is always slower, and should be ignored!
    for (int i = -1; i < NUMBER_OF_TESTS; i++) {
        int iInsensitive = i % 4;
        List<String> testType = new ArrayList<>();
        List<Long> timeSteps = new ArrayList<>();
        String name = (i / 4 > 1 ? "dummyPrefix" : "") + ((i / 4) % 2 == 0 ? "val" : "VAL" )+iInsensitive ;
        numberOfExpectedCaseSensitiveMatches = 1 <= i && i <= 3 ? EXCUTIONS_BY_TEST : 0;
        numberOfExpectedCaseInsensitiveMatches = 1 <= iInsensitive && iInsensitive <= 3 && i / 4 <= 1 ? EXCUTIONS_BY_TEST : 0;
        timeSteps.add(System.currentTimeMillis());
        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("List (Case sensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (Arrays.asList("val1", "val2", "val3").contains(name)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("Set (Case sensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (new HashSet<>(Arrays.asList(new String[] {"val1", "val2", "val3"})).contains(name)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("OR (Case sensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if ("val1".equals(name) || "val2".equals(name) || "val3".equals(name)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("OR (Case insensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if ("val1".equalsIgnoreCase(name) || "val2".equalsIgnoreCase(name) || "val3".equalsIgnoreCase(name)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseInsensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("ArraysBinarySearch(Case sensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (Arrays.binarySearch(new String[]{"val1", "val2", "val3"}, name) >= 0) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("Java8 Stream (Case sensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (Stream.of("val1", "val2", "val3").anyMatch(name::equals)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("Java8 Stream (Case insensitive)");
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (Stream.of("val1", "val2", "val3").anyMatch(name::equalsIgnoreCase)) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseInsensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("RegEx (Case sensitive)");
        // WARNING: if values contains special characters, that should be escaped by Pattern.quote(String)
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (name.matches("val1|val2|val3")) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("RegEx (Case insensitive)");
        // WARNING: if values contains special characters, that should be escaped by Pattern.quote(String)
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            if (name.matches("(?i)val1|val2|val3")) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseInsensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        numberOfMatches = 0;
        testType.add("StringIndexOf (Case sensitive)");
        // WARNING: the string to be matched should not contains the SEPARATOR!
        final String SEPARATOR = ",";
        for (int j = 0; j < EXCUTIONS_BY_TEST; j++) {
            // Don't forget the SEPARATOR at the begin and at the end!
            if ((SEPARATOR+"val1"+SEPARATOR+"val2"+SEPARATOR+"val3"+SEPARATOR).indexOf(SEPARATOR + name + SEPARATOR)>=0) {
                numberOfMatches++;
            }
        }
        if (numberOfMatches != numberOfExpectedCaseSensitiveMatches) {
            throw new RuntimeException();
        }
        timeSteps.add(System.currentTimeMillis());

        //-----------------------------------------
        StringBuffer sb = new StringBuffer("Test ").append(i)
                .append("{ name : ").append(name)
                .append(", numberOfExpectedCaseSensitiveMatches : ").append(numberOfExpectedCaseSensitiveMatches)
                .append(", numberOfExpectedCaseInsensitiveMatches : ").append(numberOfExpectedCaseInsensitiveMatches)
                .append(" }:\n");
        for (int j = 0; j < testType.size(); j++) {
            sb.append(String.format("    %4d ms with %s\n", timeSteps.get(j + 1)-timeSteps.get(j), testType.get(j)));
        }
        System.out.println(sb.toString());
    }
}

Output (only the worse case, that is when have to check all elements without match none):

Test 4{ name : VAL0, numberOfExpectedCaseSensitiveMatches : 0, numberOfExpectedCaseInsensitiveMatches : 0 }:
  43 ms with List (Case sensitive)
 378 ms with Set (Case sensitive)
  22 ms with OR (Case sensitive)
 254 ms with OR (Case insensitive)
  35 ms with ArraysBinarySearch(Case sensitive)
 266 ms with Java8 Stream (Case sensitive)
 531 ms with Java8 Stream (Case insensitive)
1009 ms with RegEx (Case sensitive)
1201 ms with RegEx (Case insensitive)
 107 ms with StringIndexOf (Case sensitive)

Various ways:

• return
• break or continue when in a loop
• break to label when in a labeled statement (see @aioobe's example)
• break when in a switch statement.

...

• System.exit() ... though that's probably not what you mean.

In my opinion, "break to label" is the most natural (least contorted) way to do this if you just want to get out of a try/catch. But it could be confusing to novice Java programmers who have never encountered that Java construct.

But while labels are obscure, in my opinion wrapping the code in a do ... while (false) so that you can use a break is a worse idea. This will confuse non-novices as well as novices. It is better for novices (and non-novices!) to learn about labeled statements.

By the way, return works in the case where you need to break out of a finally. But you should avoid doing a return in a finally block because the semantics are a bit confusing, and liable to give the reader a headache.

If you look for POSIX compliant solution:

cd DirsRoot && find . -type f -print -o -name . -o -prune

-maxdepth is not POSIX compliant option.

Laravel 5.2 uses presenters for this. You can create custom presenters or use the predefined ones. Laravel 5.2 uses the BootstrapThreePrensenter out-of-the-box, but it's easy to use the BootstrapFroutPresenter or any other custom presenters for that matter.

public function index()
{
    return view('pages.guestbook',['entries'=>GuestbookEntry::paginate(25)]);
}

In your blade template, you can use the following formula:

{!! $entries->render(new \Illuminate\Pagination\BootstrapFourPresenter($entries)) !!}

For creating custom presenters I recommend watching Codecourse's video about this.

Let's look at the answer in a more abstract way:

Suppose we have this code in x.py:

...
<Block A>
if __name__ == '__main__':
    <Block B>
...

Blocks A and B are run when we are running x.py.

But just block A (and not B) is run when we are running another module, y.py for example, in which x.py is imported and the code is run from there (like when a function in x.py is called from y.py).

For SQl Server the most efficient way is:

with
ids as ( --condition for split table into groups
    select i from (values (9),(12),(17),(18),(19),(20),(22),(21),(23),(10)) as v(i) 
) 
,src as ( 
    select * from yourTable where  <condition> --use this as filter for other conditions
)
,joined as (
    select tops.* from ids 
    cross apply --it`s like for each rows
    (
        select top(1) * 
        from src
        where CommodityId = ids.i 
    ) as tops
)
select * from joined

and don't forget to create clustered index for used columns

It depends on the scope of the project that you're working on. In the context of your question, and I mean just your question, then it doesn't matter.

For a further explanation (optional), some scenarios I have noticed from this whole discussion is as follow:

(1) - If you're working in an embedded environment where you cannot rely on the main OS' to reclaim the memory for you, then you should free them since memory leaks can really crash the program if done unnoticed.

(2) - If you're working on a personal project where you won't disclose it to anyone else, then you can skip it (assuming you're using it on the main OS') or include it for "best practices" sake.

(3) - If you're working on a project and plan to have it open source, then you need to do more research into your audience and figure out if freeing the memory would be the better choice.

(4) - If you have a large library and your audience consisted of only the main OS', then you don't need to free it as their OS' will help them to do so. In the meantime, by not freeing, your libraries/program may help to make the overall performance snappier since the program does not have to close every data structure, prolonging the shutdown time (imagine a very slow excruciating wait to shut down your computer before leaving the house...)

I can go on and on specifying which course to take, but it ultimately depends on what you want to achieve with your program. Freeing memory is considered good practice in some cases and not so much in some so it ultimately depends on the specific situation you're in and asking the right questions at the right time. Good luck!

Here is a simple snippet that read's in a json text file from a dictionary. Note that your json file must follow the json standard, so it has to have " double quotes rather then ' single quotes.

Your JSON dump.txt File:

{"test":"1", "test2":123}

Python Script:

import json
with open('/your/path/to/a/dict/dump.txt') as handle:
    dictdump = json.loads(handle.read())

At https://github.com/BITPlan/com.bitplan.antlr you'll find an ANTLR java library with some useful helper classes and a few complete examples. It's ready to be used with maven and if you like eclipse and maven.

https://github.com/BITPlan/com.bitplan.antlr/blob/master/src/main/antlr4/com/bitplan/exp/Exp.g4

is a simple Expression language that can do multiply and add operations. https://github.com/BITPlan/com.bitplan.antlr/blob/master/src/test/java/com/bitplan/antlr/TestExpParser.java has the corresponding unit tests for it.

https://github.com/BITPlan/com.bitplan.antlr/blob/master/src/main/antlr4/com/bitplan/iri/IRIParser.g4 is an IRI parser that has been split into the three parts:

1. parser grammar
2. lexer grammar
3. imported LexBasic grammar

https://github.com/BITPlan/com.bitplan.antlr/blob/master/src/test/java/com/bitplan/antlr/TestIRIParser.java has the unit tests for it.

Personally I found this the most tricky part to get right. See http://wiki.bitplan.com/index.php/ANTLR_maven_plugin

https://github.com/BITPlan/com.bitplan.antlr/tree/master/src/main/antlr4/com/bitplan/expr

contains three more examples that have been created for a performance issue of ANTLR4 in an earlier version. In the meantime this issues has been fixed as the testcase https://github.com/BITPlan/com.bitplan.antlr/blob/master/src/test/java/com/bitplan/antlr/TestIssue994.java shows.

You must feed the DOMDocument a version of your HTML with a header that make sense. Just like HTML5.

$profile ='<?xml version="1.0" encoding="'.$_encoding.'"?>'. $html;

maybe is a good idea to keep your html as valid as you can, so you don't get into issues when you'll start query... around :-) and stay away from htmlentities!!!! That's an an necessary back and forth wasting resources. keep your code insane!!!!

One more:

class Truck
  def self.default_make
    "mac"
  end

  attr_reader :make

  private define_method :default_make, &method(:default_make)

  def initialize(make = default_make)
    @make = make
  end
end

puts Truck.new.make # => mac

typedef defines a new data type. So you can have:

typedef char* my_string;
typedef struct{
  int member1;
  int member2;
} my_struct;

So now you can declare variables with these new data types

my_string s;
my_struct x;

s = "welcome";
x.member1 = 10;

For enum, things are a bit different - consider the following examples:

enum Ranks {FIRST, SECOND};
int main()
{
   int data = 20;
   if (data == FIRST)
   {
      //do something
   }
}

using typedef enum creates an alias for a type:

typedef enum Ranks {FIRST, SECOND} Order;
int main()
{
   Order data = (Order)20;  // Must cast to defined type to prevent error

   if (data == FIRST)
   {
      //do something
   }
}

Alternatively, you can use the method int integerValue = (int)Math.round(double a);

You can use the listFiles() method provided by the java.io.File class.

import java.io.File;
import java.io.FilenameFilter;

public class Filter {

    public File[] finder( String dirName){
        File dir = new File(dirName);

        return dir.listFiles(new FilenameFilter() { 
                 public boolean accept(File dir, String filename)
                      { return filename.endsWith(".txt"); }
        } );

    }

}

You should set the timezone to the one of the timezones you want. let set the Indian timezone

// set default timezone
date_default_timezone_set('Asia/Kolkata');

$info = getdate();
$date = $info['mday'];
$month = $info['mon'];
$year = $info['year'];
$hour = $info['hours'];
$min = $info['minutes'];
$sec = $info['seconds'];

$current_date = "$date/$month/$year == $hour:$min:$sec";

You can also use get(). Initially I believed it to only check if key existed.

>>> d = { 'a':1, 'b':2, 'c':{}}
>>> bool(d.get('c'))
False
>>> d['c']['e']=1
>>> bool(d.get('c'))
True

What I like with get is that it does not trigger an exception, so it makes it easy to traverse large structures.

The problem with copying an object that, eventually, may point at itself, can be solved with a simple check. Add this check, every time there is a copy action. It may be slow, but it should work.

I use a toType() function to return the object type, explicitly. I also have my own copyObj() function, which is rather similar in logic, which answers all three Object(), Array(), and Date() cases.

I run it in NodeJS.

NOT TESTED, YET.

// Returns true, if one of the parent's children is the target.
// This is useful, for avoiding copyObj() through an infinite loop!
function isChild(target, parent) {
  if (toType(parent) == '[object Object]') {
    for (var name in parent) {
      var curProperty = parent[name];

      // Direct child.
      if (curProperty = target) return true;

      // Check if target is a child of this property, and so on, recursively.
      if (toType(curProperty) == '[object Object]' || toType(curProperty) == '[object Array]') {
        if (isChild(target, curProperty)) return true;
      }
    }
  } else if (toType(parent) == '[object Array]') {
    for (var i=0; i < parent.length; i++) {
      var curItem = parent[i];

      // Direct child.
      if (curItem = target) return true;

      // Check if target is a child of this property, and so on, recursively.
      if (toType(curItem) == '[object Object]' || toType(curItem) == '[object Array]') {
        if (isChild(target, curItem)) return true;
      }
    }
  }

  return false;     // Not the target.
}

I had a problem using forEach in IE 11 and also Firefox 49

I have found a workaround like this

Array.prototype.slice.call(document.getElementsByClassName("events")).forEach(function (key) {
        console.log(key.id);
    }

The Connection String Which We Are Assigning from server side will be same as that From Web config File. The Catalog: Means To Database it is followed by Username and Password And DataClient The New sql connection establishes The connection to sql server by using the credentials in the connection string.. Then it is followed by sql command which retrives the required data in the dataset and then we assing them to required variables or controls to get the required task done

• Ensure debug mode is on - either add APP_DEBUG=true to .env file or set an environment variable

• Log files are in storage/logs folder. laravel.log is the default filename. If there is a permission issue with the log folder, Laravel just halts. So if your endpoint generally works - permissions are not an issue.

• In case your calls don't even reach Laravel or aren't caused by code issues - check web server's log files (check your Apache/nginx config files to see the paths).

• If you use PHP-FPM, check its log files as well (you can see the path to log file in PHP-FPM pool config).

I was able to get this to work by using the Invoke-Expression cmdlet.

Invoke-Expression "& `"$scriptPath`" test -r $number -b $testNumber -f $FileVersion -a $ApplicationID"

Honestly it is as simple as Simon P Steven's answer however with that approach you don't have a solid control on whether you want the points on the edges of the triangle to be included or not.

My approach is a little different but very basic. Consider the following triangle;

In order to have the point in the triangle we have to satisfy 3 conditions

1. ACE angle (green) should be smaller than ACB angle (red)
2. ECB angle (blue) should be smaller than ACB angle (red)
3. Point E and Point C shoud have the same sign when their x and y values are applied to the equation of the |AB| line.

In this method you have full control to include or exclude the point on the edges individually. So you may check if a point is in the triangle including only the |AC| edge for instance.

So my solution in JavaScript would be as follows;

function isInTriangle(t,p){_x000D_
_x000D_
  function isInBorder(a,b,c,p){_x000D_
    var m = (a.y - b.y) / (a.x - b.x);                     // calculate the slope_x000D_
    return Math.sign(p.y - m*p.x + m*a.x - a.y) === Math.sign(c.y - m*c.x + m*a.x - a.y);_x000D_
  }_x000D_
  _x000D_
  function findAngle(a,b,c){                               // calculate the C angle from 3 points._x000D_
    var ca = Math.hypot(c.x-a.x, c.y-a.y),                 // ca edge length_x000D_
        cb = Math.hypot(c.x-b.x, c.y-b.y),                 // cb edge length_x000D_
        ab = Math.hypot(a.x-b.x, a.y-b.y);                 // ab edge length_x000D_
    return Math.acos((ca*ca + cb*cb - ab*ab) / (2*ca*cb)); // return the C angle_x000D_
  }_x000D_
_x000D_
  var pas = t.slice(1)_x000D_
             .map(tp => findAngle(p,tp,t[0])),             // find the angle between (p,t[0]) with (t[1],t[0]) & (t[2],t[0])_x000D_
       ta = findAngle(t[1],t[2],t[0]);_x000D_
  return pas[0] < ta && pas[1] < ta && isInBorder(t[1],t[2],t[0],p);_x000D_
}_x000D_
_x000D_
var triangle = [{x:3, y:4},{x:10, y:8},{x:6, y:10}],_x000D_
      point1 = {x:3, y:9},_x000D_
      point2 = {x:7, y:9};_x000D_
_x000D_
console.log(isInTriangle(triangle,point1));_x000D_
console.log(isInTriangle(triangle,point2));

First of all, this approach won't scale in the large, you'll need a separate index from words to item (like an inverted index).

If your data is not large, you can do

SELECT DISTINCT(name) FROM mytable WHERE name LIKE '%mall%' OR description LIKE '%mall%'

using OR if you have multiple keywords.

// you need to have a list of data that you want the spinner to display
List<String> spinnerArray =  new ArrayList<String>();
spinnerArray.add("item1");
spinnerArray.add("item2");

ArrayAdapter<String> adapter = new ArrayAdapter<String>(
    this, android.R.layout.simple_spinner_item, spinnerArray);

adapter.setDropDownViewResource(android.R.layout.simple_spinner_dropdown_item);
Spinner sItems = (Spinner) findViewById(R.id.spinner1);
sItems.setAdapter(adapter);

also to find out what is selected you could do something like this

String selected = sItems.getSelectedItem().toString();
if (selected.equals("what ever the option was")) {
}

It's the other way around: = and == are for string comparisons, -eq is for numeric ones. -eq is in the same family as -lt, -le, -gt, -ge, and -ne, if that helps you remember which is which.

== is a bash-ism, by the way. It's better to use the POSIX =. In bash the two are equivalent, and in plain sh = is the only one guaranteed to work.

$ a=foo
$ [ "$a" = foo ]; echo "$?"       # POSIX sh
0
$ [ "$a" == foo ]; echo "$?"      # bash specific
0
$ [ "$a" -eq foo ]; echo "$?"     # wrong
-bash: [: foo: integer expression expected
2

(Side note: Quote those variable expansions! Do not leave out the double quotes above.)

If you're writing a #!/bin/bash script then I recommend using [[ instead. The doubled form has more features, more natural syntax, and fewer gotchas that will trip you up. Double quotes are no longer required around $a, for one:

$ [[ $a == foo ]]; echo "$?"      # bash specific
0

See also:

• What's the difference between [ and [[ in Bash?

You can even set the prof. pic size to its high resolution that is '1080x1080'

replace "150x150" with 1080x1080 and remove /vp/ from the link.

A better way to write the async function would be by returning a pending Promise from the start and then handling both rejections and resolutions within the callback of the promise, rather than just spitting out a rejected promise on error. Example:

async foo(id: string): Promise<A> {
    return new Promise(function(resolve, reject) {
        // execute some code here
        if (success) { // let's say this is a boolean value from line above
            return resolve(success);
        } else {
            return reject(error); // this can be anything, preferably an Error object to catch the stacktrace from this function
        }
    });
}

Then you just chain methods on the returned promise:

async function bar () {
    try {
        var result = await foo("someID")
        // use the result here
    } catch (error) {
        // handle error here
    }
}

bar()

Source - this tutorial:

https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Promise

Reading the section 3.7 of JLS well explain all you need to know about comments in Java.

There are two kinds of comments:

• /* text */

A traditional comment: all the text from the ASCII characters /* to the ASCII characters */ is ignored (as in C and C++).

• //text

An end-of-line comment: all the text from the ASCII characters // to the end of the line is ignored (as in C++).

About your question,

The first one

/**
 *
 */

is used to declare Javadoc Technology.

Javadoc is a tool that parses the declarations and documentation comments in a set of source files and produces a set of HTML pages describing the classes, interfaces, constructors, methods, and fields. You can use a Javadoc doclet to customize Javadoc output. A doclet is a program written with the Doclet API that specifies the content and format of the output to be generated by the tool. You can write a doclet to generate any kind of text file output, such as HTML, SGML, XML, RTF, and MIF. Oracle provides a standard doclet for generating HTML-format API documentation. Doclets can also be used to perform special tasks not related to producing API documentation.

For more information on Doclet refer to the API.

The second one, as explained clearly in JLS, will ignore all the text between /* and */ thus is used to create multiline comments.

Some other things you might want to know about comments in Java

• Comments do not nest.
• /* and */ have no special meaning in comments that begin with //.
• // has no special meaning in comments that begin with /* or /**.
• The lexical grammar implies that comments do not occur within character literals (§3.10.4) or string literals (§3.10.5).

Thus, the following text is a single complete comment:

/* this comment /* // /** ends here: */

Easy Way:

function diff_hours(dt2, dt1) 
 {

  var diff =(dt2.getTime() - dt1.getTime()) / 1000;
  diff /= (60 * 60);
  return Math.abs(Math.round(diff));

 }


function diff_minutes(dt2, dt1) 
 {

  var diff =(dt2.getTime() - dt1.getTime()) / 1000;
  diff /= (60);
  return Math.abs(Math.round(diff));

 }

function diff_seconds(dt2, dt1) 
 {

  var diff =(dt2.getTime() - dt1.getTime()) / 1000;
  return Math.abs(Math.round(diff));

 }

function diff_miliseconds(dt2, dt1) 
 {

  var diff =(dt2.getTime() - dt1.getTime());
  return Math.abs(Math.round(diff));

 }


dt1 = new Date(2014,10,2);
dt2 = new Date(2014,10,3);
console.log(diff_hours(dt1, dt2));


dt1 = new Date("October 13, 2014 08:11:00");
dt2 = new Date("October 14, 2014 11:13:00");
console.log(diff_hours(dt1, dt2));

console.log(diff_minutes(dt1, dt2));

console.log(diff_seconds(dt1, dt2));

console.log(diff_miliseconds(dt1, dt2));

EDIT: Given the most recent edit to the question, this will no longer work as there is no null termination - if you tried to print the array, you would get your characters followed by a number of non-human-readable characters. However, I'm leaving this answer here as community wiki for posterity.

char members[255] = { 0 };

That should work. According to the C Programming Language:

If the array has fixed size, the number of initializers may not exceed the number of members of the array; if there are fewer, the remaining members are initialized with 0.

This means that every element of the array will have a value of 0. I'm not sure if that is what you would consider "empty" or not, since 0 is a valid value for a char.

You could use:

parentWindow.maxsize(#,#);
parentWindow.minsize(x,x);

At the bottom of your code to set the fixed window size.

Use either of the two commands below. Everything must be in uppercase. The table name must be wrapped in quotation marks:

--SEE THE CONSTRAINTS ON A TABLE
SELECT COLUMN_NAME, CONSTRAINT_NAME FROM USER_CONS_COLUMNS WHERE TABLE_NAME = 'TBL_CUSTOMER';

--OR FOR LESS DETAIL
SELECT CONSTRAINT_NAME FROM USER_CONSTRAINTS WHERE TABLE_NAME = 'TBL_CUSTOMER';

The Markup Way:

<strong>I'm Bold!</strong> and <b>I'm Bold Too!</b>

The Styling Way:

.bold {
  font-weight:bold;
}

<span class="bold">I'm Bold!</span>

From: http://www.december.com/html/x1/

<b>

This element encloses text which should be rendered by the browser as boldface. Because the meaning of the B element defines the appearance of the content it encloses, this element is considered a "physical" markup element. As such, it doesn't convey the meaning of a semantic markup element such as strong.

<strong>

Description This element brackets text which should be strongly emphasized. Stronger than the em element.

    var _timeoutId = 0;

    var _startHoldEvent = function(e) {
      _timeoutId = setInterval(function() {
         myFunction.call(e.target);
      }, 1000);
    };

    var _stopHoldEvent = function() {
      clearInterval(_timeoutId );
    };

    $('#myElement').on('mousedown', _startHoldEvent).on('mouseup mouseleave', _stopHoldEvent);

The accepted answer (its image) is wrong, at least now in QT5. Instead you should assign a layout to the root object/widget (pointing to the aforementioned image, it should be the MainWindow instead of centralWidget). Also note that you must have at least one QObject created beneath it for this to work. Do this and your ui will become responsive to window resizing.

it "should call 'bar' with appropriate arguments" do
  expect(subject).to receive(:bar).with("an argument I want")
  subject.foo
end

The following should do the trick for both single character and multiple character searches:

CREATE FUNCTION dbo.CountOccurrences
(
   @SearchString VARCHAR(1000),
   @SearchFor    VARCHAR(1000)
)
RETURNS TABLE
AS
   RETURN (
             SELECT COUNT(*) AS Occurrences
             FROM   (
                       SELECT ROW_NUMBER() OVER (ORDER BY O.object_id) AS n
                       FROM   sys.objects AS O
                    ) AS N
                    JOIN (
                            VALUES (@SearchString)
                         ) AS S (SearchString)
                         ON
                         SUBSTRING(S.SearchString, N.n, LEN(@SearchFor)) = @SearchFor
          );
GO

---------------------------------------------------------------------------------------
-- Test the function for single and multiple character searches
---------------------------------------------------------------------------------------
DECLARE @SearchForComma      VARCHAR(10) = ',',
        @SearchForCharacters VARCHAR(10) = 'de';

DECLARE @TestTable TABLE
(
   TestData VARCHAR(30) NOT NULL
);

INSERT INTO @TestTable
     (
        TestData
     )
VALUES
     ('a,b,c,de,de ,d e'),
     ('abc,de,hijk,,'),
     (',,a,b,cde,,');

SELECT TT.TestData,
       CO.Occurrences AS CommaOccurrences,
       CO2.Occurrences AS CharacterOccurrences
FROM   @TestTable AS TT
       OUTER APPLY dbo.CountOccurrences(TT.TestData, @SearchForComma) AS CO
       OUTER APPLY dbo.CountOccurrences(TT.TestData, @SearchForCharacters) AS CO2;

The function can be simplified a bit using a table of numbers (dbo.Nums):

   RETURN (
             SELECT COUNT(*) AS Occurrences
             FROM   dbo.Nums AS N
                    JOIN (
                            VALUES (@SearchString)
                         ) AS S (SearchString)
                         ON
                         SUBSTRING(S.SearchString, N.n, LEN(@SearchFor)) = @SearchFor
          );

Map.keys() returns a MapIterator object which can be converted to Array using Array.from:

let keys = Array.from( myMap.keys() );
// ["a", "b"]

EDIT: you can also convert iterable object to array using spread syntax

let keys =[ ...myMap.keys() ];
// ["a", "b"]

string []answer = new string[10];
for(int i = 0;i<answer.length;i++)
{
    answer[i]= Console.ReadLine();
}

To update Angular CLI to a new version, you must update both the global package and your project's local package.

Global package:

npm uninstall -g @angular/cli
npm cache clean
# if npm version is > 5 then use `npm cache verify` to avoid errors (or to avoid using --force)
npm install -g @angular/cli@latest

Local project package:

rm -rf node_modules dist # use rmdir /S/Q node_modules dist in Windows Command Prompt; use rm -r -fo node_modules,dist in Windows PowerShell
npm install --save-dev @angular/cli@latest
npm install

Source: Github

After trying out ngGrid, ngTable, trNgGrid and Smart Table, I have come to the conclusion that Smart Table is by far the best implementation AngularJS-wise and Bootstrap-wise. It is built exactly the same way as you would build your own, naive table using standard angular. On top of that, they have added a few directives that help you do sorting, filtering etc. Their approach also makes it quite simple to extend yourself. The fact that they use the regular html tags for tables and the standard ng-repeat for the rows and standard bootstrap for formatting makes this my clear winner.

Their JS code depends on angular and your html can depend on bootstrap if you want to. The JS code is 4 kb in total and you can even easily pick stuff out of there if you want to reach an even smaller footprint.

Where the other grids will give you claustrophobia in different areas, Smart Table just feels open and to the point.

If you rely heavily on inline editing and other advanced features, you might get up and running quicker with ngTable for instance. However, you are free to add such features quite easily in Smart Table.

Don't miss Smart Table!!!

I have no relation to Smart Table, except from using it myself.

Newer versions of pandas do allow you to pass extra arguments (see the new documentation). So now you can do:

my_series.apply(your_function, args=(2,3,4), extra_kw=1)

The positional arguments are added after the element of the series.

For older version of pandas:

The documentation explains this clearly. The apply method accepts a python function which should have a single parameter. If you want to pass more parameters you should use functools.partial as suggested by Joel Cornett in his comment.

An example:

>>> import functools
>>> import operator
>>> add_3 = functools.partial(operator.add,3)
>>> add_3(2)
5
>>> add_3(7)
10

You can also pass keyword arguments using partial.

Another way would be to create a lambda:

my_series.apply((lambda x: your_func(a,b,c,d,...,x)))

But I think using partial is better.

Using ADB, you can use any of the following three commands:

adb shell am start -a android.intent.action.UNINSTALL_PACKAGE -d "package:PACKAGE"
adb shell am start -n com.android.packageinstaller/.UninstallerActivity -d "package:PACKAGE"
adb shell am start -a android.intent.action.DELETE -d "package:PACKAGE"

Replace PACKAGE with package name of the installed user app. The app mustn't be a device administrator for the command to work successfully. All of those commands would require user's confirmation for removal of app.

Details of the said command can be known by checking am's usage using adb shell am.

I got the info about those commands using Elixir 2 (use any equivalent app). I used it to show the activities of Package Installer app (the GUI that you see during installation and removal of apps) as well as the related intents. There you go.

The alternative way I used was: I attempted to uninstall the app using GUI until I was shown the final confirmation. I didn't confirm but execute the command

adb shell dumpsys activity recents   # for Android 4.4 and above
adb shell dumpsys activity activities # for Android 4.2.1

Among other things, it showed me useful details of the intent passed in the background. Example:

intent={act=android.intent.action.DELETE dat=package:com.bartat.android.elixir#com.bartat.android.elixir.MainActivity flg=0x10800000 cmp=com.android.packageinstaller/.UninstallerActivity}

Here, you can see the action, data, flag and component - enough for the goal.

If all you want is a two dimensional container to hold some elements, you could conveniently use a dictionary instead:

Matrix = {}

Then you can do:

Matrix[1,2] = 15
print Matrix[1,2]

This works because 1,2 is a tuple, and you're using it as a key to index the dictionary. The result is similar to a dumb sparse matrix.

As indicated by osa and Josap Valls, you can also use Matrix = collections.defaultdict(lambda:0) so that the missing elements have a default value of 0.

Vatsal further points that this method is probably not very efficient for large matrices and should only be used in non performance-critical parts of the code.

I have now tried your suggestions and found that it kinda works,

1. The dialog div is alsways written out in plaintext
2. With the $.post version it actually works in terms that the controller gets called and actually cancels the booking, but the dialog stays open and page doesn't refresh. With the get version window.location = h.ref works great.

Se my "new" script below:

$('a.cancel').click(function() {
        var a = this;               
        $("#dialog").dialog({
            autoOpen: false,
            buttons: {
                "Ja": function() {
                    $.post(a.href);                     
                },
                "Nej": function() { $(this).dialog("close"); }
            },
            modal: true,
            overlay: {
                opacity: 0.5,

            background: "black"
        }
    });
    $("#dialog").dialog('open');
    return false;
});

});

Any clues?

oh and my Action link now looks like this:

<%= Html.ActionLink("Cancel", "Cancel", new { id = v.BookingId }, new  { @class = "cancel" })%>

If you're using Entity Framework, exception.ToString() will not gives you the details of DbEntityValidationException exceptions. You might want to use the same method to handle all your exception, like:

catch (Exception ex)
{
   Log.Error(GetExceptionDetails(ex));
}

Where GetExceptionDetails contains something like this:

public static string GetExceptionDetails(Exception ex)
{
    var stringBuilder = new StringBuilder();

    while (ex != null)
    {
        switch (ex)
        {
            case DbEntityValidationException dbEx:
                var errorMessages = dbEx.EntityValidationErrors.SelectMany(x => x.ValidationErrors).Select(x => x.ErrorMessage);
                var fullErrorMessage = string.Join("; ", errorMessages);
                var message = string.Concat(ex.Message, " The validation errors are: ", fullErrorMessage);

                stringBuilder.Insert(0, dbEx.StackTrace);
                stringBuilder.Insert(0, message);
                break;

            default:
                stringBuilder.Insert(0, ex.StackTrace);
                stringBuilder.Insert(0, ex.Message);
                break;
        }

        ex = ex.InnerException;
    }

    return stringBuilder.ToString();
}

Try this:

$(someElem).html('this<br> has<br> newlines);

You could also set an inputMask:

QLineEdit.setInputMask("9")

This allows the user to type only one digit ranging from 0 to 9. Use multiple 9's to allow the user to enter multiple numbers. See also the complete list of characters that can be used in an input mask.

(My answer is in Python, but it should not be hard to transform it to C++)

I think this will help : In Controller get the list items and selected value

public ActionResult Edit(int id)
{
    ItemsStore item = itemStoreRepository.FindById(id);
    ViewBag.CategoryId = new SelectList(categoryRepository.Query().Get(), 
                                        "Id", "Name",item.CategoryId);

    // ViewBag to pass values to View and SelectList
    //(get list of items,valuefield,textfield,selectedValue)

    return View(item);
}

and in View

@Html.DropDownList("CategoryId",String.Empty)

Some new java online compiler and runner:

1. Java Launch
2. Srikanthdaggumalli

These sites are in under development. But you can view the compilation errors, Runtime Exceptions as well as output of a java program by clicking on the TryItYourself link.

For windows users, there is an easy fix. Download whl files from:

https://www.lfd.uci.edu/~gohlke/pythonlibs/#pyqt4

run from anaconda prompt pip install PyQt4-4.11.4-cp37-cp37m-win_amd64.whl

I know this is an old question but why can't you do it like:

db.OrderLineItems.Where(o => o.OrderId == currentOrder.OrderId).Sum(o => o.WishListItem.Price);

I am not sure how to do this using query expressions.

I'd start with:

secedit /export /areas USER_RIGHTS /cfg OUTFILE.CFG

Then examine the line for the relevant privilege. However, the problem now is that the accounts are listed as SIDs, not usernames.

Super Duper Old I know but I would add my piece on using Linq and continuation lambdas on methods with using C# 7. I try to use named tuples as replacements for DTOs and anonymous projections when reused in a class. Yes for mocking and testing you still need classes but doing things inline and passing around in a class is nice to have this newer option IMHO. You can instantiate them from

1. Direct Instantiation

var items = new List<(int Id, string Name)> { (1, "Me"), (2, "You")};

2. Off of an existing collection, and now you can return well typed tuples similar to how anonymous projections used to be done.

public class Hold
{
    public int Id { get; set; }
    public string Name { get; set; }
}

//In some method or main console app:
var holds = new List<Hold> { new Hold { Id = 1, Name = "Me" }, new Hold { Id = 2, Name = "You" } };
var anonymousProjections = holds.Select(x => new { SomeNewId = x.Id, SomeNewName = x.Name });
var namedTuples = holds.Select(x => (TupleId: x.Id, TupleName: x.Name));

3. Reuse the tuples later with grouping methods or use a method to construct them inline in other logic:

//Assuming holder class above making 'holds' object
public (int Id, string Name) ReturnNamedTuple(int id, string name) => (id, name);
public static List<(int Id, string Name)> ReturnNamedTuplesFromHolder(List<Hold> holds) => holds.Select(x => (x.Id, x.Name)).ToList();
public static void DoSomethingWithNamedTuplesInput(List<(int id, string name)> inputs) => inputs.ForEach(x => Console.WriteLine($"Doing work with {x.id} for {x.name}"));

var namedTuples2 = holds.Select(x => ReturnNamedTuple(x.Id, x.Name));
var namedTuples3 = ReturnNamedTuplesFromHolder(holds);
DoSomethingWithNamedTuplesInput(namedTuples.ToList());

Tomcat is not running. Your search is showing you the grep process, which is searching for tomcat. Of course, by the time you see that output, grep is no longer running, so the pid is no longer valid.

This will work for null able dateTime parameter

. .

SearchUsingDate(DateTime? StartDate, DateTime? EndDate){
     DateTime LastDate;
     if (EndDate != null)
       {
          LastDate = (DateTime)EndDate;
          LastDate = LastDate.AddDays(1);
          EndDate = LastDate;
        }
}

You have to include the schema if isnt a public one

SELECT *
FROM <schema>."my_table"

Or you can change your default schema

SHOW search_path;
SET search_path TO my_schema;

Check your table schema here

SELECT *
FROM information_schema.columns

For example if a table is on the default schema public both this will works ok

SELECT * FROM parroquias_region
SELECT * FROM public.parroquias_region

But sectors need specify the schema

SELECT * FROM map_update.sectores_point

Two ways to do it efficiently that I can think of:

1. inserting all the values into some sort of hashtable and checking whether the value you're inserting is already in it(expected O(n) time and O(n) space)

2. sorting the array and then checking whether adjacent cells are equal( O(nlogn) time and O(1) or O(n) space depending on the sorting algorithm)

stormdrain's solution would probably be O(n^2), as would any solution which involves scanning the array for each element searching for a duplicate

As mentioned in previous answers, both serve almost same purpose. Personally I like git rebase and merge request (as in gitlab). It takes burden off of the reviewer/maintainer, making sure that while adding merge request, the feature branch includes all of the latest commits done on main branch after feature branch is created. Here is a very useful article explaining rebase in detail: https://git-scm.com/book/en/v2/Git-Branching-Rebasing

Yes, you can do this, but I doubt that it would improve performances, unless your query has a real large latency.

You could do:

 UPDATE table SET posX=CASE
      WHEN id=id[1] THEN posX[1]
      WHEN id=id[2] THEN posX[2]
      ...
      ELSE posX END, posY = CASE ... END
 WHERE id IN (id[1], id[2], id[3]...);

The total cost is given more or less by: NUM_QUERIES * ( COST_QUERY_SETUP + COST_QUERY_PERFORMANCE ). This way, you knock down a bit on NUM_QUERIES, but COST_QUERY_PERFORMANCE goes up bigtime. If COST_QUERY_SETUP is really huge (e.g., you're calling some network service which is real slow) then, yes, you might still end up on top.

Otherwise, I'd try with indexing on id, or modifying the architecture.

In MySQL I think you could do this more easily with a multiple INSERT ON DUPLICATE KEY UPDATE (but am not sure, never tried).

Here's the simplest way that I know of to do this:

final Runnable stuffToDo = new Thread() {
  @Override 
  public void run() { 
    /* Do stuff here. */ 
  }
};

final ExecutorService executor = Executors.newSingleThreadExecutor();
final Future future = executor.submit(stuffToDo);
executor.shutdown(); // This does not cancel the already-scheduled task.

try { 
  future.get(5, TimeUnit.MINUTES); 
}
catch (InterruptedException ie) { 
  /* Handle the interruption. Or ignore it. */ 
}
catch (ExecutionException ee) { 
  /* Handle the error. Or ignore it. */ 
}
catch (TimeoutException te) { 
  /* Handle the timeout. Or ignore it. */ 
}
if (!executor.isTerminated())
    executor.shutdownNow(); // If you want to stop the code that hasn't finished.

Alternatively, you can create a TimeLimitedCodeBlock class to wrap this functionality, and then you can use it wherever you need it as follows:

new TimeLimitedCodeBlock(5, TimeUnit.MINUTES) { @Override public void codeBlock() {
    // Do stuff here.
}}.run();

1. Locate the file at /etc/mysql/my.cnf

2. Edit the file by adding the following lines:

    [mysqld]
   
    lower_case_table_names=1
   

3. sudo /etc/init.d/mysql restart

4. Run mysqladmin -u root -p variables | grep table to check that lower_case_table_names is 1 now

You might need to recreate these tables to make it work.

Set both to auto:

height: auto;
width: auto;

Making it:

#products
{
    height: auto;
    width: auto;
    padding:5px; margin-bottom:8px;
    border: 1px solid #EFEFEF;
}

In theory, there's nothing preventing you from sending a request body in a GET request. The HTTP protocol allows it, but have no defined semantics, so it's up to you to document what exactly is going to happen when a client sends a GET payload. For instance, you have to define if parameters in a JSON body are equivalent to querystring parameters or something else entirely.

However, since there are no clearly defined semantics, you have no guarantee that implementations between your application and the client will respect it. A server or proxy might reject the whole request, or ignore the body, or anything else. The REST way to deal with broken implementations is to circumvent it in a way that's decoupled from your application, so I'd say you have two options that can be considered best practices.

The simple option is to use POST instead of GET as recommended by other answers. Since POST is not standardized by HTTP, you'll have to document how exactly that's supposed to work.

Another option, which I prefer, is to implement your application assuming the GET payload is never tampered with. Then, in case something has a broken implementation, you allow clients to override the HTTP method with the X-HTTP-Method-Override, which is a popular convention for clients to emulate HTTP methods with POST. So, if a client has a broken implementation, it can write the GET request as a POST, sending the X-HTTP-Method-Override: GET method, and you can have a middleware that's decoupled from your application implementation and rewrites the method accordingly. This is the best option if you're a purist.

data.substring(0, input.length) === input

Web.xml is called as deployment descriptor file and its is is an XML file that contains information on the configuration of the web application, including the configuration of servlets.

Add 'center-block' to image as class - no additional css needed

<img src="images/default.jpg" class="center-block img-responsive"/>

You can use a 3rd party library like Shield UI for charting - that is tested and works well on all legacy and new web browsers and devices.

Class Row will handle one row from your database.

Complete implementation of UpdateTask responsible for filling up UI.

import java.sql.ResultSet;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;

import javax.swing.JTable;
import javax.swing.SwingWorker;

public class JTableUpdateTask extends SwingWorker<JTable, Row> {

    JTable      table       = null;

    ResultSet   resultSet   = null;

    public JTableUpdateTask(JTable table, ResultSet rs) {
        this.table = table;
        this.resultSet = rs;
    }

    @Override
    protected JTable doInBackground() throws Exception {
        List<Row> rows = new ArrayList<Row>();
        Object[] values = new Object[6];
        while (resultSet.next()) {
            values = new Object[6];
            values[0] = resultSet.getString("id");
            values[1] = resultSet.getString("student_name");
            values[2] = resultSet.getString("street");
            values[3] = resultSet.getString("city");
            values[4] = resultSet.getString("state");
            values[5] = resultSet.getString("zipcode");
            Row row = new Row(values);
            rows.add(row);
        }
        process(rows); 
        return this.table;
    }

    protected void process(List<Row> chunks) {
        ResultSetTableModel tableModel = (this.table.getModel() instanceof ResultSetTableModel ? (ResultSetTableModel) this.table.getModel() : null);
        if (tableModel == null) {
            try {
                tableModel = new ResultSetTableModel(this.resultSet.getMetaData(), chunks);
            } catch (SQLException e) {
                e.printStackTrace();
            }
            this.table.setModel(tableModel);
        } else {
            tableModel.getRows().addAll(chunks);
        }
        tableModel.fireTableDataChanged();
    }
}

Table Model:

import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.util.ArrayList;
import java.util.List;

import javax.swing.table.AbstractTableModel;

/**
 * Simple wrapper around Object[] representing a row from the ResultSet.
 */
class Row {
    private final Object[]  values;

    public Row(Object[] values) {
        this.values = values;
    }

    public int getSize() {
        return values.length;
    }

    public Object getValue(int i) {
        return values[i];
    }
}

// TableModel implementation that will be populated by SwingWorker.
public class ResultSetTableModel extends AbstractTableModel {
    private final ResultSetMetaData rsmd;

    private List<Row>               rows;

    public ResultSetTableModel(ResultSetMetaData rsmd, List<Row> rows) {
        this.rsmd = rsmd;
        if (rows != null) {
            this.rows = rows;
        } else {
            this.rows = new ArrayList<Row>();
        }

    }

    public int getRowCount() {
        return rows.size();
    }

    public int getColumnCount() {
        try {
            return rsmd.getColumnCount();
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return 0;
    }

    public Object getValue(int row, int column) {
        return rows.get(row).getValue(column);
    }

    public String getColumnName(int col) {
        try {
            return rsmd.getColumnName(col + 1);
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return "";
    }

    public Class<?> getColumnClass(int col) {
        String className = "";
        try {
            className = rsmd.getColumnClassName(col);
        } catch (SQLException e) {
            e.printStackTrace();
        }
        return className.getClass();
    }

    @Override
    public Object getValueAt(int rowIndex, int columnIndex) {
        if(rowIndex > rows.size()){
            return null;
        }
        return rows.get(rowIndex).getValue(columnIndex);
    }

    public List<Row> getRows() {
        return this.rows;
    }

    public void setRows(List<Row> rows) {
        this.rows = rows;
    }
}

Main Application which builds UI and does the database connection

import java.awt.BorderLayout;
import java.awt.Dimension;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;

import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JTable;

public class MainApp {
    static Connection conn = null;
    static void init(final ResultSet rs) {
        JFrame frame = new JFrame();
        frame.setLayout(new BorderLayout());
        final JTable table = new JTable();
        table.setPreferredSize(new Dimension(300,300));
        table.setMinimumSize(new Dimension(300,300));
        table.setMaximumSize(new Dimension(300,300));
        frame.add(table, BorderLayout.CENTER);
        JButton button = new JButton("Start Loading");
        button.setPreferredSize(new Dimension(30,30));
        button.addActionListener(new ActionListener() {
            @Override
            public void actionPerformed(ActionEvent e) {
                JTableUpdateTask jTableUpdateTask = new JTableUpdateTask(table, rs);
                jTableUpdateTask.execute();

            }
        });
        frame.add(button, BorderLayout.SOUTH);
        frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
        frame.pack();
        frame.setVisible(true);
    }

    public static void main(String[] args) {
        String url = "jdbc:mysql://localhost:3306/test";
        String driver = "com.mysql.jdbc.Driver";
        String userName = "root";
        String password = "root";
        try {
            Class.forName(driver).newInstance();
            conn = DriverManager.getConnection(url, userName, password);
            PreparedStatement pstmt = conn.prepareStatement("Select id, student_name, street, city, state,zipcode from student");
            ResultSet rs = pstmt.executeQuery();
            init(rs);
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

This happened to me as well, and the answers given here already were not satisfying, so I did my own research.

Background: Eclipse access restrictions

Eclipse has a mechanism called access restrictions to prevent you from accidentally using classes which Eclipse thinks are not part of the public API. Usually, Eclipse is right about that, in both senses: We usually do not want to use something which is not part of the public API. And Eclipse is usually right about what is and what isn't part of the public API.

Problem

Now, there can be situations, where you want to use public Non-API, like sun.misc (you shouldn't, unless you know what you're doing). And there can be situations, where Eclipse is not really right (that's what happened to me, I just wanted to use javax.smartcardio). In that case, we get this error in Eclipse.

Solution

The solution is to change the access restrictions.

• Go to the properties of your Java project,
  • i.e. by selecting "Properties" from the context menu of the project in the "Package Explorer".
• Go to "Java Build Path", tab "Libraries".
• Expand the library entry
• select
  • "Access rules",
  • "Edit..." and
  • "Add..." a "Resolution: Accessible" with a corresponding rule pattern. For me that was "javax/smartcardio/**", for you it might instead be "com/apple/eawt/**".

The short answer: If you don't know what reinterpret_cast stands for, don't use it. If you will need it in the future, you will know.

Full answer:

Let's consider basic number types.

When you convert for example int(12) to unsigned float (12.0f) your processor needs to invoke some calculations as both numbers has different bit representation. This is what static_cast stands for.

On the other hand, when you call reinterpret_cast the CPU does not invoke any calculations. It just treats a set of bits in the memory like if it had another type. So when you convert int* to float* with this keyword, the new value (after pointer dereferecing) has nothing to do with the old value in mathematical meaning.

Example: It is true that reinterpret_cast is not portable because of one reason - byte order (endianness). But this is often surprisingly the best reason to use it. Let's imagine the example: you have to read binary 32bit number from file, and you know it is big endian. Your code has to be generic and works properly on big endian (e.g. some ARM) and little endian (e.g. x86) systems. So you have to check the byte order. It is well-known on compile time so you can write constexpr function: You can write a function to achieve this:

/*constexpr*/ bool is_little_endian() {
  std::uint16_t x=0x0001;
  auto p = reinterpret_cast<std::uint8_t*>(&x);
  return *p != 0;
}

Explanation: the binary representation of x in memory could be 0000'0000'0000'0001 (big) or 0000'0001'0000'0000 (little endian). After reinterpret-casting the byte under p pointer could be respectively 0000'0000 or 0000'0001. If you use static-casting, it will always be 0000'0001, no matter what endianness is being used.

EDIT:

_{In the first version I made example function is_little_endian to be constexpr. It compiles fine on the newest gcc (8.3.0) but the standard says it is illegal. The clang compiler refuses to compile it (which is correct).}

Press Ctrl+Alt+Down or Ctrl+Alt+Up to insert cursors below or above.

<input type="button" value="Clear" onclick="javascript: functionName();" >

you just need to set the onclick event, call your desired function on this onclick event.

function functionName()
{
    $("#output").val("");
}

Above function will set the value of text area to empty string.

Using Woodstox, configure the StAX parser to validate against your schema and parse the XML.

If exceptions are caught the XML is not valid, otherwise it is valid:

// create the XSD schema from your schema file
XMLValidationSchemaFactory schemaFactory = XMLValidationSchemaFactory.newInstance(XMLValidationSchema.SCHEMA_ID_W3C_SCHEMA);
XMLValidationSchema validationSchema = schemaFactory.createSchema(schemaInputStream);

// create the XML reader for your XML file
WstxInputFactory inputFactory = new WstxInputFactory();
XMLStreamReader2 xmlReader = (XMLStreamReader2) inputFactory.createXMLStreamReader(xmlInputStream);

try {
    // configure the reader to validate against the schema
    xmlReader.validateAgainst(validationSchema);

    // parse the XML
    while (xmlReader.hasNext()) {
        xmlReader.next();
    }

    // no exceptions, the XML is valid

} catch (XMLStreamException e) {

    // exceptions, the XML is not valid

} finally {
    xmlReader.close();
}

Note: If you need to validate multiple files, you should try to reuse your XMLInputFactory and XMLValidationSchema in order to maximize the performance.

Here are some ideas:

• Go with Approach #1 and resize the array to hold additional results or use a type that automatically resizes as neccessary (you don't mention what language you are using so I can't be more specific).
• You could execute both statements in Approach #1 within a transaction to guarantee the counts are the same both times if your database supports this.
• I'm not sure what you are doing with the data but if it is possible to process the results without storing all of them first this might be the best method.

In case someone has a similar issue. My resolution was to delete the key that was not working and got a new key for my domain. And this now works with all my sub-domains as well without having to explicitly specify them in the recaptcha admin area.

You can get the DOM element, and set the disabled property directly.

$(".shownextrow").click(function() { 
  $(this).closest("tr").next().show()
          .find('.longboxsmall').hide()[0].disabled = 'disabled';
});

or if there's more than one, you can use each() to set all of them:

$(".shownextrow").click(function() { 
  $(this).closest("tr").next().show()
          .find('.longboxsmall').each(function() {
               this.style.display = 'none';
               this.disabled = 'disabled';
          });
});

$text = "test.txt ; 131 136 80 89 119 17 60 123 210 121 188 42 136 200 131 198"

$text.split(';')[1].split(' ')

  newlist=[]                       #make an empty list
  for i in list:                   # loop to hv a dict in list  
     s={}                          # make an empty dict to store new dict data 
     for k in i.keys():            # to get keys in the dict of the list 
         s[k]=int(i[k])        # change the values from string to int by int func
     newlist.append(s)             # to add the new dict with integer to the list

function bookmark(title, url) {
  if (window.sidebar) { 
    // Firefox
    window.sidebar.addPanel(title, url, '');
  } 
  else if (window.opera && window.print) 
  { 
    // Opera
    var elem = document.createElement('a');
    elem.setAttribute('href', url);
    elem.setAttribute('title', title);
    elem.setAttribute('rel', 'sidebar');
    elem.click(); //this.title=document.title;
  } 
  else if (document.all) 
  { 
    // ie
    window.external.AddFavorite(url, title);
  }
}

I used this & works great in IE, FF, Netscape. Chrome, Opera and safari do not support it!

Maybe you should try it with -quality 100 -size "1024x1024", because resize often gives results that are ugly to view.

Alternatively, you could invert the image using the bitwise_not function of OpenCV:

imagem = cv2.bitwise_not(imagem)

I liked this example.

Line from above answer:

HtmlDocument doc = new HtmlDocument();

This doesn't work in VS 2015 C#. You cannot construct an HtmlDocument any more.

Another MS "feature" that makes things more difficult to use. Try HtmlAgilityPack.HtmlWeb and check out this link for some sample code.

I had the exact same problem with my instance. My problem was that I forgot to allow port 80 access to the server. Maybe that's your issue as well?

Check with your WHM and make sure that port is open for the IP address of your site,

The "bind" operation is basically saying, "use this local UDP port for sending and receiving data. In other words, it allocates that UDP port for exclusive use for your application. (Same holds true for TCP sockets).

When you bind to "0.0.0.0" (INADDR_ANY), you are basically telling the TCP/IP layer to use all available adapters for listening and to choose the best adapter for sending. This is standard practice for most socket code. The only time you wouldn't specify 0 for the IP address is when you want to send/receive on a specific network adapter.

Similarly if you specify a port value of 0 during bind, the OS will assign a randomly available port number for that socket. So I would expect for UDP multicast, you bind to INADDR_ANY on a specific port number where multicast traffic is expected to be sent to.

The "join multicast group" operation (IP_ADD_MEMBERSHIP) is needed because it basically tells your network adapter to listen not only for ethernet frames where the destination MAC address is your own, it also tells the ethernet adapter (NIC) to listen for IP multicast traffic as well for the corresponding multicast ethernet address. Each multicast IP maps to a multicast ethernet address. When you use a socket to send to a specific multicast IP, the destination MAC address on the ethernet frame is set to the corresponding multicast MAC address for the multicast IP. When you join a multicast group, you are configuring the NIC to listen for traffic sent to that same MAC address (in addition to its own).

Without the hardware support, multicast wouldn't be any more efficient than plain broadcast IP messages. The join operation also tells your router/gateway to forward multicast traffic from other networks. (Anyone remember MBONE?)

If you join a multicast group, all the multicast traffic for all ports on that IP address will be received by the NIC. Only the traffic destined for your binded listening port will get passed up the TCP/IP stack to your app. In regards to why ports are specified during a multicast subscription - it's because multicast IP is just that - IP only. "ports" are a property of the upper protocols (UDP and TCP).

You can read more about how multicast IP addresses map to multicast ethernet addresses at various sites. The Wikipedia article is about as good as it gets:

The IANA owns the OUI MAC address 01:00:5e, therefore multicast packets are delivered by using the Ethernet MAC address range 01:00:5e:00:00:00 - 01:00:5e:7f:ff:ff. This is 23 bits of available address space. The first octet (01) includes the broadcast/multicast bit. The lower 23 bits of the 28-bit multicast IP address are mapped into the 23 bits of available Ethernet address space.

Towards the second half of Create REST API using ASP.NET MVC that speaks both JSON and plain XML, to quote:

Now we need to accept JSON and XML payload, delivered via HTTP POST. Sometimes your client might want to upload a collection of objects in one shot for batch processing. So, they can upload objects using either JSON or XML format. There's no native support in ASP.NET MVC to automatically parse posted JSON or XML and automatically map to Action parameters. So, I wrote a filter that does it."

He then implements an action filter that maps the JSON to C# objects with code shown.

GoDaddy shared server solution

I had the same issue when trying to deploy separate Laravel project on a subdomain level.

File structure

- public_html (where the main web app resides)
    [works fine]

    - booking.mydomain.com (folder for separate Laravel project)
        [showing error 403 forbidden]

Solution

1. go to cPanel of your GoDaddy account

2. open File Manager

3. browse to the folder that shows 403 forbidden error

4. in the File Manager, right-click on the folder (in my case booking.mydomain.com)

5. select Change Permissions

6. select following checkboxes

    a) user - read, write, execute
    b) group - read, execute
    c) world - read, execute
   
    Permission code must display as 755
   

7. Click change permissions

I tried $request->merge($array) function in Laravel 5.2 and it is working perfectly.

Example:

$request->merge(["key"=>"value"]);

The easiest way to get data-* attributes is with element.getAttribute():

onclick="fun(this.getAttribute('data-uid'), this.getAttribute('data-name'), this.getAttribute('data-value'));"

DEMO: http://jsfiddle.net/pm6cH/

Although I would suggest just passing this to fun(), and getting the 3 attributes inside the fun function:

onclick="fun(this);"

And then:

function fun(obj) {
    var one = obj.getAttribute('data-uid'),
        two = obj.getAttribute('data-name'),
        three = obj.getAttribute('data-value');
}

DEMO: http://jsfiddle.net/pm6cH/1/

The new way to access them by property is with dataset, but that isn't supported by all browsers. You'd get them like the following:

this.dataset.uid
// and
this.dataset.name
// and
this.dataset.value

DEMO: http://jsfiddle.net/pm6cH/2/

Also note that in your HTML, there shouldn't be a comma here:

data-name="bbb",

References:

• element.getAttribute(): https://developer.mozilla.org/en-US/docs/DOM/element.getAttribute
• .dataset: https://developer.mozilla.org/en-US/docs/DOM/element.dataset
• .dataset browser compatibility: http://caniuse.com/dataset

This may or may not help you address your problem, OP, but to get the timezone of the current server relative to UTC (UT1, technically), do:

SELECT EXTRACT(TIMEZONE FROM now())/3600.0;

The above works by extracting the UT1-relative offset in minutes, and then converting it to hours using the factor of 3600 secs/hour.

Example:

SET SESSION timezone TO 'Asia/Kabul';
SELECT EXTRACT(TIMEZONE FROM now())/3600.0;
-- output: 4.5 (as of the writing of this post)

(docs).

Nobody used the STL algorithm/mismatch function yet. If this returns true, prefix is a prefix of 'toCheck':

std::mismatch(prefix.begin(), prefix.end(), toCheck.begin()).first == prefix.end()

Full example prog:

#include <algorithm>
#include <string>
#include <iostream>

int main(int argc, char** argv) {
    if (argc != 3) {
        std::cerr << "Usage: " << argv[0] << " prefix string" << std::endl
                  << "Will print true if 'prefix' is a prefix of string" << std::endl;
        return -1;
    }
    std::string prefix(argv[1]);
    std::string toCheck(argv[2]);
    if (prefix.length() > toCheck.length()) {
        std::cerr << "Usage: " << argv[0] << " prefix string" << std::endl
                  << "'prefix' is longer than 'string'" <<  std::endl;
        return 2;
    }
    if (std::mismatch(prefix.begin(), prefix.end(), toCheck.begin()).first == prefix.end()) {
        std::cout << '"' << prefix << '"' << " is a prefix of " << '"' << toCheck << '"' << std::endl;
        return 0;
    } else {
        std::cout << '"' << prefix << '"' << " is NOT a prefix of " << '"' << toCheck << '"' << std::endl;
        return 1;
    }
}

Edit:

As @James T. Huggett suggests, std::equal is a better fit for the question: Is A a prefix of B? and is slight shorter code:

std::equal(prefix.begin(), prefix.end(), toCheck.begin())

Full example prog:

#include <algorithm>
#include <string>
#include <iostream>

int main(int argc, char **argv) {
  if (argc != 3) {
    std::cerr << "Usage: " << argv[0] << " prefix string" << std::endl
              << "Will print true if 'prefix' is a prefix of string"
              << std::endl;
    return -1;
  }
  std::string prefix(argv[1]);
  std::string toCheck(argv[2]);
  if (prefix.length() > toCheck.length()) {
    std::cerr << "Usage: " << argv[0] << " prefix string" << std::endl
              << "'prefix' is longer than 'string'" << std::endl;
    return 2;
  }
  if (std::equal(prefix.begin(), prefix.end(), toCheck.begin())) {
    std::cout << '"' << prefix << '"' << " is a prefix of " << '"' << toCheck
              << '"' << std::endl;
    return 0;
  } else {
    std::cout << '"' << prefix << '"' << " is NOT a prefix of " << '"'
              << toCheck << '"' << std::endl;
    return 1;
  }
}

You can pipe the output of type into find inside the in(…) clause of a for /f loop:

for /f %%A in ('
    type "%~dpf1" ^| find /c /v ""
') do set "lineCount=%%A"

But the pipe starts a subshell, which slows things down.

Or, you could redirect input from the file into find like so:

for /f %%A in ('
    find /c /v "" ^< "%~dpf1"
') do set "lineCount=%%A"

But this approach will give you an answer 1 less than the actual number of lines if the file ends with one or more blank lines, as teased out by the late foxidrive in counting lines in a file.

And then again, you could always try:

find /c /v "" example.txt

The trouble is, the output from the above command looks like this:

---------- EXAMPLE.TXT: 511

You could split the string on the colon to get the count, but there might be more than one colon if the filename had a full path.

Here’s my take on that problem:

for /f "delims=" %%A in ('
    find /c /v "" "%~1"
') do for %%B in (%%A) do set "lineCount=%%B"

This will always store the count in the variable.

Just one last little problem… find treats null characters as newlines. So if sneaky nulls crept into your text file, or if you want to count the lines in a Unicode file, this answer isn’t for you.

As Andrie said, system.time() works fine. For short function I prefer to put replicate() in it:

system.time( replicate(10000, myfunction(with,arguments) ) )

You need to call setHasOptionsMenu(true) in onCreate().

For backwards compatibility it's better to place this call as late as possible at the end of onCreate() or even later in onActivityCreated() or something like that.

See: https://developer.android.com/reference/android/app/Fragment.html#setHasOptionsMenu(boolean)

You're tired and cant do any more work. You eat food. The energy spent looking for food, getting it and actually eating it consumes energy and is overhead!

Overhead is something wasted in order to accomplish a task. The goal is to make overhead very very small.

In computer science lets say you want to print a number, thats your task. But storing the number, the setting up the display to print it and calling routines to print it, then accessing the number from variable are all overhead.

You can do in different ways.

str1 = "Hello"
str2 = "World"
str_list = ['Hello', 'World']
str_dict = {'str1': 'Hello', 'str2': 'World'}

# Concatenating With the + Operator
print(str1 + ' ' + str2)  # Hello World

# String Formatting with the % Operator
print("%s %s" % (str1, str2))  # Hello World

# String Formatting with the { } Operators with str.format()
print("{}{}".format(str1, str2))  # Hello World
print("{0}{1}".format(str1, str2))  # Hello World
print("{str1} {str2}".format(str1=str_dict['str1'], str2=str_dict['str2']))  # Hello World
print("{str1} {str2}".format(**str_dict))  # Hello World

# Going From a List to a String in Python With .join()
print(' '.join(str_list))  # Hello World

# Python f'strings --> 3.6 onwards
print(f"{str1} {str2}")  # Hello World

I created this little summary through following articles.

• Python 3's f-Strings: An Improved String Formatting Syntax (Guide) (Speed test also included)
• Formatted string literals
• String Concatenation and Formatting
• Splitting, Concatenating, and Joining Strings in Python

@GaryK answer is absolutely great, I've spent an hour looking for an explanation orphanRemoval = true vs CascadeType.REMOVE and it helped me understand.

Summing up: orphanRemoval = true works identical as CascadeType.REMOVE ONLY IF we deleting object (entityManager.delete(object)) and we want the childs objects to be removed as well.

In completely different sitiuation, when we fetching some data like List<Child> childs = object.getChilds() and then remove a child (entityManager.remove(childs.get(0)) using orphanRemoval=true will cause that entity corresponding to childs.get(0) will be deleted from database.

I have also dealt with this exception after a fully working context.xml setup was adjusted. I didn't want environment details in the context.xml, so I took them out and saw this error. I realized I must fully create this datasource resource in code based on System Property JVM -D args.

Original error with just user/pwd/host removed: org.apache.tomcat.jdbc.pool.ConnectionPool init SEVERE: Unable to create initial connections of pool.

Removed entire contents of context.xml and try this: Initialize on startup of app server the datasource object sometime before using first connection. If using Spring this is good to do in an @Configuration bean in @Bean Datasource constructor.

package to use: org.apache.tomcat.jdbc.pool.*

PoolProperties p = new PoolProperties();
p.setUrl(jdbcUrl);
            p.setDriverClassName(driverClass);
            p.setUsername(user);
            p.setPassword(pwd);
            p.setJmxEnabled(true);
            p.setTestWhileIdle(false);
            p.setTestOnBorrow(true);
            p.setValidationQuery("SELECT 1");
            p.setTestOnReturn(false);
            p.setValidationInterval(30000);
            p.setValidationQueryTimeout(100);
            p.setTimeBetweenEvictionRunsMillis(30000);
            p.setMaxActive(100);
            p.setInitialSize(5);
            p.setMaxWait(10000);
            p.setRemoveAbandonedTimeout(60);
            p.setMinEvictableIdleTimeMillis(30000);
            p.setMinIdle(5);
            p.setLogAbandoned(true);
            p.setRemoveAbandoned(true);
            p.setJdbcInterceptors(
              "org.apache.tomcat.jdbc.pool.interceptor.ConnectionState;"+
              "org.apache.tomcat.jdbc.pool.interceptor.StatementFinalizer");
            org.apache.tomcat.jdbc.pool.DataSource ds = new org.apache.tomcat.jdbc.pool.DataSource();
            ds.setPoolProperties(p);
            return ds;

for 32-bit Python, the installer is here. after you run the installer, you will have easy_install.exe in your \Python27\Scripts directory

if you are looking for 64-bit installers, this is an excellent resource:

http://www.lfd.uci.edu/~gohlke/pythonlibs/

the author has installers for both Setuptools and Distribute. Either one will give you easy_install.exe

If the column has the NOT NULL constraint then it won't be possible; but otherwise this is fine:

INSERT INTO MyTable(MyIntColumn) VALUES(NULL);

If you import the module (.py) file you are creating now from another python script it will not execute the code within

if __name__ == '__main__':
    ...

If you run the script directly from the console, it will be executed.

Python does not use or require a main() function. Any code that is not protected by that guard will be executed upon execution or importing of the module.

This is expanded upon a little more at python.berkely.edu

On Mac OS I had to open the server's self-signed certificate with system Keychain Access tool, import it, dobubleclick it and then select "Always trust" (even though I set the same in importer). Before that, of course I ran java key took with -importcert to import same file to cacert storage.

Well, data.str().c_str() yields a char const* but your function Printfunc() wants to have char*s. Based on the name, it doesn't change the arguments but merely prints them and/or uses them to name a file, in which case you should probably fix your declaration to be

void Printfunc(int a, char const* loc, char const* stream)

The alternative might be to turn the char const* into a char* but fixing the declaration is preferable:

Printfunc(num, addr, const_cast<char*>(data.str().c_str()));

The $.getJSON() method is shorthand that does not let you specify advanced options like that. To do that, you need to use the full $.ajax() method.

Notice in the documentation at http://api.jquery.com/jQuery.getJSON/:

This is a shorthand Ajax function, which is equivalent to:

$.ajax({
  url: url,
  dataType: 'json',
  data: data,
  success: callback
});

So just use $.ajax() and provide all the extra parameters you need.

You can also use (focusout) event:

Use (eventName) for while binding event to DOM, basically () is used for event binding. Also you can use ngModel to get two way binding for your model. With the help of ngModel you can manipulate model variable value inside your component.

Do this in HTML file

<input type="text" [(ngModel)]="model" (focusout)="someMethodWithFocusOutEvent($event)">

And in your (component) .ts file

export class AppComponent { 
 model: any;
 constructor(){ }
 someMethodWithFocusOutEvent(){
   console.log('Your method called');
   // Do something here
 }
}

In v5.x, you might still face the problem. So, try to delete related table manually first using

php artisan tinker

Then

Schema::drop('books')

(and exit with q)

Now, you can successfully php artisan migrate:rollback and php artisan migrate.

If this happens repeatedly you should check that the down() method in your migration is showing the right table name. (Can be a gotcha if you've changed your table names.)

Let's assume you want to overwrite the same file:

import json

with open('data.json', 'r') as data_file:
    data = json.load(data_file)

for element in data:
    element.pop('hours', None)

with open('data.json', 'w') as data_file:
    data = json.dump(data, data_file)

dict.pop(<key>, not_found=None) is probably what you where looking for, if I understood your requirements. Because it will remove the hours key if present and will not fail if not present.

However I am not sure I understand why it makes a difference to you whether the hours key contains some days or not, because you just want to get rid of the whole key / value pair, right?

Now, if you really want to use del instead of pop, here is how you could make your code work:

import json

with open('data.json') as data_file:
    data = json.load(data_file)

for element in data:
    if 'hours' in element:
        del element['hours']

with open('data.json', 'w') as data_file:
    data = json.dump(data, data_file)

EDIT So, as you can see, I added the code to write the data back to the file. If you want to write it to another file, just change the filename in the second open statement.

I had to change the indentation, as you might have noticed, so that the file has been closed during the data cleanup phase and can be overwritten at the end.

with is what is called a context manager, whatever it provides (here the data_file file descriptor) is available ONLY within that context. It means that as soon as the indentation of the with block ends, the file gets closed and the context ends, along with the file descriptor which becomes invalid / obsolete.

Without doing this, you wouldn't be able to open the file in write mode and get a new file descriptor to write into.

I hope it's clear enough...

SECOND EDIT

This time, it seems clear that you need to do this:

with open('dest_file.json', 'w') as dest_file:
    with open('source_file.json', 'r') as source_file:
        for line in source_file:
            element = json.loads(line.strip())
            if 'hours' in element:
                del element['hours']
            dest_file.write(json.dumps(element))

In JDK7:

if ({"a", "b", "c"}.contains("a")) {

Assuming the Project Coin collections literals project goes through.

Edit: It didn't.

How do I print out my $ids and $nIds?

print "$ids\n";
print "$nIds\n";

I tried simply print $ids, but Perl complains.

Complains about what? Uninitialised value? Perhaps your loop was never entered due to an error opening the file. Be sure to check if open returned an error, and make sure you are using use strict; use warnings;.

my ($ids, $nIds) is a list, right? With two elements?

It's a (very special) function call. $ids,$nIds is a list with two elements.

To add an extension to serve in IIS follow -

1. Open IIS Manager and navigate to the level you want to manage.
2. In Features View, double-click MIME Types.
3. In the Actions pane, click Add.
4. In the Add MIME Type dialog box, type a file name extension in the File name extension text box. ... Type a MIME type
5. in the MIME type text box.
6. Click OK.

If you like 'Mike Sherrill' solution but don't want to use psql, I used this query to get the missing information:

select column_name,
case 
    when domain_name is not null then domain_name
    when data_type='character varying' THEN 'varchar('||character_maximum_length||')'
    when data_type='numeric' THEN 'numeric('||numeric_precision||','||numeric_scale||')'
    else data_type
end as myType
from information_schema.columns
where table_name='test'

with result:

column_name |     myType
-------------+-------------------
 test_id     | test_domain
 test_vc     | varchar(15)
 test_n      | numeric(15,3)
 big_n       | bigint
 ip_addr     | inet

I don't know how stubhub's api works, but generally it should look like this:

s = requests.Session()
data = {"login":"my_login", "password":"my_password"}
url = "http://example.net/login"
r = s.post(url, data=data)

Now your session contains cookies provided by login form. To access cookies of this session simply use

s.cookies

Any further actions like another requests will have this cookie

I would like to re-structure the statement that you mentioned which is:

This means that the state as consumed by your target component can have a wildly different structure from the state as it is stored on your store

You can say that the state consumed by your target component has a small portion of the state that is stored on the redux store. In other words, the state consumed by your component would be the sub-set of the state of the redux store.

As far as understanding the connect() method is concerned, it's fairly simple! connect() method has the power to add new props to your component and even override existing props. It is through this connect method that we can access the state of the redux store as well which is thrown to us by the Provider. A combination of which works in your favor and you get to add the state of your redux store to the props of your component.

Above is some theory and I would suggest you look at this video once to understand the syntax better.

Every time you are creating plots you might get this error - "Error in plot.new() : figure margins too large". To avoid such errors you can first check par("mar") output. You should be getting:

[1] 5.1 4.1 4.1 2.1

To change that write:

par(mar=c(1,1,1,1))

This should rectify the error. Or else you can change the values accordingly.

Hope this works for you.

You can write your own generator. The secret key is essentially a byte array. Make sure that the string that you convert to a byte array is base64 encoded.

In Java, you could do something like this.

String key = "random_secret_key";
String base64Key = DatatypeConverter.printBase64Binary(key.getBytes());
byte[] secretBytes = DatatypeConverter.parseBase64Binary(base64Key);

DAO is native to Access and by far the best for general use. ADO has its place, but it is unlikely that this is it.

 Dim rs As DAO.Recordset
 Dim db As Database
 Dim strSQL as String

 Set db=CurrentDB

 strSQL = "select * from table where some condition"

 Set rs = db.OpenRecordset(strSQL)

 Do While Not rs.EOF

    rs.Edit
    rs!SomeField = "Abc"
    rs!OtherField = 2
    rs!ADate = Date()
    rs.Update

    rs.MoveNext
Loop

In my case I had an ambiguous reference in my code. I restarted Visual Studio and was able to see the error message. When I resolved this the other error disappeared.

You cannot run .py files from JavaScript without the Python program like you cannot open .txt files without a text editor. But the whole thing becomes a breath with a help of a Web API Server (IIS in the example below).

1. Install python and create a sample file test.py

   import sys
   # print sys.argv[0] prints test.py
   # print sys.argv[1] prints your_var_1
   
   def hello():
       print "Hi" + " " + sys.argv[1]
   
   if __name__ == "__main__":
       hello()
   

2. Create a method in your Web API Server

   [HttpGet]
   public string SayHi(string id)
   {
       string fileName = HostingEnvironment.MapPath("~/Pyphon") + "\\" + "test.py";          
   
       Process p = new Process();
       p.StartInfo = new ProcessStartInfo(@"C:\Python27\python.exe", fileName + " " + id)
       {
           RedirectStandardOutput = true,
           UseShellExecute = false,
           CreateNoWindow = true
       };
       p.Start();
   
       return p.StandardOutput.ReadToEnd();                  
   }
   

3. And now for your JavaScript:

   function processSayingHi() {          
      var your_param = 'abc';
      $.ajax({
          url: '/api/your_controller_name/SayHi/' + your_param,
          type: 'GET',
          success: function (response) {
              console.log(response);
          },
          error: function (error) {
              console.log(error);
          }
       });
   }
   

Remember that your .py file won't run on your user's computer, but instead on the server.

For MySql take in mind that it's not a good idea to write camelcase. For example if the schema is like that:

CREATE TABLE IF NOT EXISTS `task`(
    `id` INT NOT NULL AUTO_INCREMENT PRIMARY KEY ,
    `teaching_hours` DECIMAL(5,2) DEFAULT NULL,
    `isActive` BOOLEAN DEFAULT FALSE,
    `is_validated` BOOLEAN DEFAULT FALSE,
) ENGINE=InnoDB DEFAULT CHARSET=utf8;

You must be very careful cause isActive column will translate to isactive. So in your Entity class is should be like this:

 @Basic
 @Column(name = "isactive", nullable = true)
 public boolean isActive() {
     return isActive;
 }
 public void setActive(boolean active) {
     isActive = active;
 }

That was my problem at least that got me your error

This has nothing to do with MySql which is case insensitive, but rather is a naming strategy that spring will use to translate your tables. For more refer to this post

As Filburt says; but also note that it's usually better to write

test="not(Count = 'N/A')"

If there's exactly one Count element they mean the same thing, but if there's no Count, or if there are several, then the meanings are different.

6 YEARS LATER

Since this answer seems to have become popular, but may be a little cryptic to some readers, let me expand it.

The "=" and "!=" operator in XPath can compare two sets of values. In general, if A and B are sets of values, then "=" returns true if there is any pair of values from A and B that are equal, while "!=" returns true if there is any pair that are unequal.

In the common case where A selects zero-or-one nodes, and B is a constant (say "NA"), this means that not(A = "NA") returns true if A is either absent, or has a value not equal to "NA". By contrast, A != "NA" returns true if A is present and not equal to "NA". Usually you want the "absent" case to be treated as "not equal", which means that not(A = "NA") is the appropriate formulation.

I'm assuming you mean that you don't care which row is used to obtain the title, id, and commentname values (you have "rob" for all of the rows, but I don't know if that is actually something that would be enforced or not in your data model). If so, then you can use windowing functions to return the first row for a given email address:

select
    id,
    title,
    email,
    commentname

from
(
select 
    *, 
    row_number() over (partition by email order by id) as RowNbr 

from YourTable
) source

where RowNbr = 1

They do different things. exec replaces the current process with the new process and never returns. system invokes another process and returns its exit value to the current process. Using backticks invokes another process and returns the output of that process to the current process.

I have used Eloff's answer successfully for Python 3.1 [many thanks!].

I upgraded to Python 3.2.3, and ran into errors.

The solution, provided here thanks to the responder Thomas K, is to insert super().__init__() into the following code:

def __init__(self):
    self.reset()
    self.fed = []

... in order to make it look like this:

def __init__(self):
    super().__init__()
    self.reset()
    self.fed = []

... and it will work for Python 3.2.3.

Again, thanks to Thomas K for the fix and for Eloff's original code provided above!

You can do this all within your controller by using the $window service here. $window is a wrapper around the global browser object window.

To make this work inject $window into you controller as follows

.controller('exampleCtrl', ['$scope', '$window',
    function($scope, $window) {
        $scope.redirectToGoogle = function(){
            $window.open('https://www.google.com', '_blank');
        };
    }
]);

this works well when redirecting to dynamic routes

I had a the same error and solved it after moving initialization of formBuilder from ngOnInit to constructor.

There is another way to find the page update which could be useful for some occasions (if works:).

If the page has been indexed by Google, or by Wayback Machine you can try to find out what date(s) was(were) saved by them (these methods do not work for any page, and have some limitations, which are extensively investigated in this webmasters.stackexchange question's answers. But in many cases they can help you to find out the page update date(s):

1. Google way: Go by link https://www.google.com.ua/search?q=site%3Awww.example.com&biw=1855&bih=916&source=lnt&tbs=cdr%3A1%2Ccd_min%3A1%2F1%2F2000%2Ccd_max%3A&tbm=
   • You can change text in search field by any page URL you want.
   • For example, the current stackoverflow question page search gives us as a result May 14, 2014 - which is the question creation date:
2. Wayback machine way: Go by link https://web.archive.org/web/*/www.example.com
   • for this stackoverflow page wayback machine gives us more results: Saved 6 times between June 7, 2014 and November 23, 2016., and you can view all saved copies for each date

JSFIDDLE DEMO

If you don't want the event to be continuous (if you want the user to have to release the key each time), change onkeydown to onkeyup

window.onkeydown = function (e) {
    var code = e.keyCode ? e.keyCode : e.which;
    if (code === 38) { //up key
        alert('up');
    } else if (code === 40) { //down key
        alert('down');
    }
};

So it turns out that the crux of the problem is that by default, Postgres starts in "autoCommit" mode, and also it needs/uses cursors to be able to "page" through data (ex: read the first 10K results, then the next, then the next), however cursors can only exist within a transaction. So the default is to read all rows, always, into RAM, and then allow your program to start processing "the first result row, then the second" after it has all arrived, for two reasons, it's not in a transaction (so cursors don't work), and also a fetch size hasn't been set.

So how the psql command line tool achieves batched response (its FETCH_COUNT setting) for queries, is to "wrap" its select queries within a short-term transaction (if a transaction isn't yet open), so that cursors can work. You can do something like that also with JDBC:

  static void readLargeQueryInChunksJdbcWay(Connection conn, String originalQuery, int fetchCount, ConsumerWithException<ResultSet, SQLException> consumer) throws SQLException {
    boolean originalAutoCommit = conn.getAutoCommit();
    if (originalAutoCommit) {
      conn.setAutoCommit(false); // start temp transaction
    }
    try (Statement statement = conn.createStatement()) {
      statement.setFetchSize(fetchCount);
      ResultSet rs = statement.executeQuery(originalQuery);
      while (rs.next()) {
        consumer.accept(rs); // or just do you work here
      }
    } finally {
      if (originalAutoCommit) {
        conn.setAutoCommit(true); // reset it, also ends (commits) temp transaction
      }
    }
  }
  @FunctionalInterface
  public interface ConsumerWithException<T, E extends Exception> {
    void accept(T t) throws E;
  }

This gives the benefit of requiring less RAM, and, in my results, seemed to run overall faster, even if you don't need to save the RAM. Weird. It also gives the benefit that your processing of the first row "starts faster" (since it process it a page at a time).

And here's how to do it the "raw postgres cursor" way, along with full demo code, though in my experiments it seemed the JDBC way, above, was slightly faster for whatever reason.

Another option would be to have autoCommit mode off, everywhere, though you still have to always manually specify a fetchSize for each new Statement (or you can set a default fetch size in the URL string).

Simpler than the accepted answer is this:

public static Bitmap cropAtRect(this Bitmap b, Rectangle r)
{
    Bitmap nb = new Bitmap(r.Width, r.Height);
    using (Graphics g = Graphics.FromImage(nb))
    {
        g.DrawImage(b, -r.X, -r.Y);
        return nb;
    }
}

and it avoids the "Out of memory" exception risk of the simplest answer.

Note that Bitmap and Graphics are IDisposable hence the using clauses.

EDIT: I find this is fine with PNGs saved by Bitmap.Save or Paint.exe, but fails with PNGs saved by e.g. Paint Shop Pro 6 - the content is displaced. Addition of GraphicsUnit.Pixel gives a different wrong result. Perhaps just these failing PNGs are faulty.

To replace only factors:

i <- sapply(bob, is.factor)
bob[i] <- lapply(bob[i], as.character)

In package dplyr in version 0.5.0 new function mutate_if was introduced:

library(dplyr)
bob %>% mutate_if(is.factor, as.character) -> bob

...and in version 1.0.0 was replaced by across:

library(dplyr)
bob %>% mutate(across(where(is.factor), as.character)) -> bob

Package purrr from RStudio gives another alternative:

library(purrr)
bob %>% modify_if(is.factor, as.character) -> bob

Building on Will Shepard's answer, his output will include duplicate lines for commits where there was no change, so you can filter those as as follows (using this answer)

LINE=1 FILE=a; for commit in $(git rev-list HEAD $FILE); do git blame -n -L$LINE,+1 $commit -- $FILE; done | sed '$!N; /^\(.*\)\n\1$/!P; D'

Note that I removed the REVS argument and this goes back to the root commit. This is due to Max Nanasy's observation above.

I also faced the same issue. It happened to me after I upgraded my numpy library. It was resolved in my case by upgrading my pandas library as well after upgrading my numpy library using the below command:

pip install --upgrade pandas

After doing some research, this was happening in Ruby's XMLRPC::Client library - which uses NET::HTTP. The client uses the start() method in NET::HTTP which keeps the connection open for future requests.

This happened precisely at 30 seconds after the last requests - so my assumption here is that the server it's hitting is closing requests after that time. I'm not sure what the default is for NET::HTTP to keep the request open - but I'm about to test with 60 seconds to see if that solves the issue.

If you just need to search for one string within another, use the index function (or rindex if you want to start scanning from the end of the string):

if (index($string, $substring) != -1) {
   print "'$string' contains '$substring'\n";
}

To search a string for a pattern match, use the match operator m//:

if ($string =~ m/pattern/) {
    print "'$string' matches the pattern\n";       
}

Output buffering is used by PHP to improve performance and to perform a few tricks.

• You can have PHP store all output into a buffer and output all of it at once improving network performance.

• You can access the buffer content without sending it back to browser in certain situations.

Consider this example:

<?php
    ob_start( );
    phpinfo( );
    $output = ob_get_clean( );
?>

The above example captures the output into a variable instead of sending it to the browser. output_buffering is turned off by default.

• You can use output buffering in situations when you want to modify headers after sending content.

Consider this example:

<?php
    ob_start( );
    echo "Hello World";
    if ( $some_error )
    {
        header( "Location: error.php" );
        exit( 0 );
    }
?>

I had a similar issue today. It was caused by skype! A recent update to skype had re-enabled port 80 and 443 as alternatives to incoming connections.

H/T : http://www.codeproject.com/Questions/549157/unableplustoplusstartplusdebuggingplusonplustheplu

To disable, go to skype > options > Advanced > Connections and uncheck "Use port 80 and 443 as alternatives to incoming connections"

1. You seem to be including one C file from anther. #include should normally be used with header files only.

2. Within the definition of struct ast_node you refer to struct AST_NODE, which doesn't exist. C is case-sensitive.