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Using identify and attach in a function


Using identify and attach in a function

By : Evgeni Reingold
Date : November 21 2020, 01:01 AM
Hope this helps You are trying to do non-standard evaluation here. This is always a little tricky. Can I recommend something like:
code :
f <- function(x, y, data) {
    dx <- deparse(substitute(x))
    dy <- deparse(substitute(y))
    plot(reformulate(dx,response=dy),data)
    ids <- identify(data[,dx], data[,dy])
    return(ids)
}
f(Population,Income,state.x77)
f2 <- function(x, y, data) {
    x <- eval(substitute(x),envir=as.data.frame(data))
    y <- eval(substitute(y),envir=as.data.frame(data))
    plot(x,y)
    ids <- identify(x,y)
    return(ids)
}
f2(Population,Income,state.x77)


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How can i attach data to a JTA transaction? (or uniquely identify it)

How can i attach data to a JTA transaction? (or uniquely identify it)


By : willockss
Date : March 29 2020, 07:55 AM
it should still fix some issue This would require some testing but I think that you could bind the quote to a ThreadLocal and make your beans implement SessionSynchronization to unbind the quote from the ThreadLocal after the commit of a transaction (and thus implement a kind of transaction-scoped context).
Is there a de facto standard to identify HTML elements for a JavaScript library to attach to?

Is there a de facto standard to identify HTML elements for a JavaScript library to attach to?


By : user2784929
Date : March 29 2020, 07:55 AM
will help you Use classes. These are not "specific CSS classes" as you say, the "class" just says that the particular element belongs to a group of similar elements. And these similar elements are treated similarly - whether it's the design as in case of CSS or behavior as in your case.
how can i attach a click handler for multiple ids and identify the id within the handler in jquery?

how can i attach a click handler for multiple ids and identify the id within the handler in jquery?


By : Outdoor
Date : March 29 2020, 07:55 AM
Any of those help Firstly the id is a unique identifier and by having multiple elements with the same ID can cause undesired behaviour in jQuery. Secondly, id cannot (validly) start with a number unless your page has the HTML5 doctype.
So onto the problem you are having...
code :
$('div[name="destinationContent"][id=' + this.id + ']').show();
<h3 class="delhi">NEW DELHI</h3>
<h3 class="jaipur" >JAIPUR</h3>
<hr/>
<div class="destinationContent">
    <div class="delhi">NEW DELHI details</div>
    <div class="jaipur">JAIPUR details</div>
</div>​​​​​​​​​​​​​​​​​​
$(function() {
    var contents = $('.destinationContent div');
    contents.hide();

    $('h3').on('click', function(){
        contents.hide();
        $('.destinationContent div.' + this.className).show();
    });
});​
Attach a table row id to a jquery/ajax function without putting the function in a loop

Attach a table row id to a jquery/ajax function without putting the function in a loop


By : Mahdi Vesal
Date : March 29 2020, 07:55 AM
wish helps you 1.Create a class and instead of id use that into your jQuery code.
2.Put outside of loop at the bottom of the page.
code :
<?php for($i=0; $i<count($user); $i++){ ?>
     <tr>
       <td><a href="" id="<?php echo $user[$i]['idclient'];?>" class="clickMe">name</a></td><!-- class added  and id structure is also changed-->
       <td>address</td>
       <td>tel</td>
       <td>contact</td>
    </tr>
<?php } ?>
<script>
$(".clickMe").click(function (e){ //check change here
   e.preventDefault(); 
    $.ajax({
        type: "GET",
        url: '/includes/scripts/getUserAJ.php',
        cache: false,
        data: {iduser: $(this).attr('id')}, //check change here
        success: function (data) 
        {
            $("#div-1").html(data);
            $("#div-2").html('<a href="<?php echo $_SERVER['PHP_SELF'].'?viewClient&i='.$user[$i]['idclient'];?>" class="btn btn-block btn-success"><i class="fa fa-user"></i> View Profile</a>');
            $("#div-3").html('<a href="<?php echo $_SERVER['PHP_SELF'].'?viewClientService&i='.$user[$i]['idclient'];?>" class="btn btn-block mt20 btn-success"><i class="fa fa-server"></i> View Service Templates</a>');
            $("#div-4").html('<a href="<?php echo $_SERVER['PHP_SELF'].'?viewClientRota&i='.$user[$i]['idclient'];?>" class="btn btn-block mt20 btn-success"><i class="fa fa-calendar"></i> View Client Rota</a>');
            $('#userModal').modal('show'); 
        }
    });
});
</script>
Why sympy lambdify function cannot identify numpy sum function and multiply function

Why sympy lambdify function cannot identify numpy sum function and multiply function


By : user3310008
Date : March 29 2020, 07:55 AM
Does that help Mixing numpy and sympy can be tricky; add to that the potential confusions caused by np.mat instead of the base array type, ndarray.
In sum
code :
y_ = np.sum(np.dot(w,x)+b)
In [310]: w = np.mat([1,1,1,1,1]) 
     ...: x= np.mat([1,1,1,1,1]).T 
     ...: b = np.mat([0,0,0,0,0]).T 
     ...: y = np.mat([6,6,6,6,6]).T                                             
In [311]: np.sum(np.dot(w,x)+b)                                                 
Out[311]: 25
In [312]: np.multiply(w,x)+b                                                    
Out[312]: 
matrix([[1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1]])
In [316]: w.shape                                                               
Out[316]: (1, 5)
In [317]: x.shape                                                               
Out[317]: (5, 1)
In [313]: np.dot(w,x)                                                           
Out[313]: matrix([[5]])
In [314]: w*x                                                                   
Out[314]: matrix([[5]])
In [315]: np.multiply(w,x)         # elementwise produces (5,5)                                   
Out[315]: 
matrix([[1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1],
        [1, 1, 1, 1, 1]])
In [322]: np.multiply(w.T,x)                                                    
Out[322]: 
matrix([[1],
        [1],
        [1],
        [1],
        [1]])
In [323]: w.T*x                                                                 
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-323-11ad839cfa88> in <module>
----> 1 w.T*x

/usr/local/lib/python3.6/dist-packages/numpy/matrixlib/defmatrix.py in __mul__(self, other)
    218         if isinstance(other, (N.ndarray, list, tuple)) :
    219             # This promotes 1-D vectors to row vectors
--> 220             return N.dot(self, asmatrix(other))
    221         if isscalar(other) or not hasattr(other, '__rmul__') :
    222             return N.dot(self, other)

<__array_function__ internals> in dot(*args, **kwargs)

ValueError: shapes (5,1) and (5,1) not aligned: 1 (dim 1) != 5 (dim 0)
y_ = np.sum(np.dot(w,x)+b)
In [55]: f = lambdify((x,y,z),x*y+z, 'numpy')                                   
In [56]: f??                                                                    
Signature: f(x, y, z)
Docstring:
Created with lambdify. Signature:

func(x, y, z)

Expression:

x*y + z

Source code:

def _lambdifygenerated(x, y, z):
    return (x*y + z)


Imported modules:
Source:   
def _lambdifygenerated(x, y, z):
    return (x*y + z)
File:      ~/mypy/<lambdifygenerated-4>
Type:      function
In [66]: eval('np.dot(x,y)+z')                                                  
Out[66]: x⋅y + z

In [67]: eval('np.sum(np.dot(x,y)+z)')                                          
Out[67]: x⋅y + z

In [68]: eval('np.multiply(x,y)+z')                                             
Out[68]: x⋅y + z
In [69]: np.dot(x,y)                                                            
Out[69]: x⋅y
In [70]: np.array(x)                                                            
Out[70]: array(x, dtype=object)

In [71]: np.dot(np.array(x), np.array(y))                                       
Out[71]: x⋅y
In [72]: sin(x)       # sympy sin                                                          
Out[72]: sin(x)

In [73]: np.sin(x)        # numpy sin                                                      
---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
AttributeError: 'Symbol' object has no attribute 'sin'

The above exception was the direct cause of the following exception:

TypeError                                 Traceback (most recent call last)
<ipython-input-73-92f2c2d0df9d> in <module>
----> 1 np.sin(x)

TypeError: loop of ufunc does not support argument 0 of type Symbol which has no callable sin method
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