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Generating combinations in c++

A simple way using std::next_permutation:

#include <iostream>
#include <algorithm>
#include <vector>

int main() {
    int n, r;
    std::cin >> n;
    std::cin >> r;

    std::vector<bool> v(n);
    std::fill(v.end() - r, v.end(), true);

    do {
        for (int i = 0; i < n; ++i) {
            if (v[i]) {
                std::cout << (i + 1) << " ";
            }
        }
        std::cout << "\n";
    } while (std::next_permutation(v.begin(), v.end()));
    return 0;
}

or a slight variation that outputs the results in an easier to follow order:

#include <iostream>
#include <algorithm>
#include <vector>

int main() {
   int n, r;
   std::cin >> n;
   std::cin >> r;

   std::vector<bool> v(n);
   std::fill(v.begin(), v.begin() + r, true);

   do {
       for (int i = 0; i < n; ++i) {
           if (v[i]) {
               std::cout << (i + 1) << " ";
           }
       }
       std::cout << "\n";
   } while (std::prev_permutation(v.begin(), v.end()));
   return 0;
}

A bit of explanation:

It works by creating a "selection array" (v), where we place r selectors, then we create all permutations of these selectors, and print the corresponding set member if it is selected in in the current permutation of v.


You can implement it if you note that for each level r you select a number from 1 to n.

In C++, we need to 'manually' keep the state between calls that produces results (a combination): so, we build a class that on construction initialize the state, and has a member that on each call returns the combination while there are solutions: for instance

#include <iostream>
#include <iterator>
#include <vector>
#include <cstdlib>

using namespace std;

struct combinations
{
    typedef vector<int> combination_t;

    // initialize status
   combinations(int N, int R) :
       completed(N < 1 || R > N),
       generated(0),
       N(N), R(R)
   {
       for (int c = 1; c <= R; ++c)
           curr.push_back(c);
   }

   // true while there are more solutions
   bool completed;

   // count how many generated
   int generated;

   // get current and compute next combination
   combination_t next()
   {
       combination_t ret = curr;

       // find what to increment
       completed = true;
       for (int i = R - 1; i >= 0; --i)
           if (curr[i] < N - R + i + 1)
           {
               int j = curr[i] + 1;
               while (i <= R-1)
                   curr[i++] = j++;
               completed = false;
               ++generated;
               break;
           }

       return ret;
   }

private:

   int N, R;
   combination_t curr;
};

int main(int argc, char **argv)
{
    int N = argc >= 2 ? atoi(argv[1]) : 5;
    int R = argc >= 3 ? atoi(argv[2]) : 2;
    combinations cs(N, R);
    while (!cs.completed)
    {
        combinations::combination_t c = cs.next();
        copy(c.begin(), c.end(), ostream_iterator<int>(cout, ","));
        cout << endl;
    }
    return cs.generated;
}

test output:

1,2,
1,3,
1,4,
1,5,
2,3,
2,4,
2,5,
3,4,
3,5,
4,5,

Simple Digit Recognition OCR in OpenCV-Python

OCR which stands for Optical Character Recognition is a computer vision technique used to identify the different types of handwritten digits that are used in common mathematics. To perform OCR in OpenCV we will use the KNN algorithm which detects the nearest k neighbors of a particular data point and then classifies that data point based on the class type detected for n neighbors.

Data Used


This data contains 5000 handwritten digits where there are 500 digits for every type of digit. Each digit is of 20×20 pixel dimensions. We will split the data such that 250 digits are for training and 250 digits are for testing for every class.

Below is the implementation.




import numpy as np
import cv2
   
      
# Read the image
image = cv2.imread('digits.png')
  
# gray scale conversion
gray_img = cv2.cvtColor(image,
                        cv2.COLOR_BGR2GRAY)
  
# We will divide the image
# into 5000 small dimensions 
# of size 20x20
divisions = list(np.hsplit(i,100) for i in np.vsplit(gray_img,50))
  
# Convert into Numpy array
# of size (50,100,20,20)
NP_array = np.array(divisions)
   
# Preparing train_data
# and test_data.
# Size will be (2500,20x20)
train_data = NP_array[:,:50].reshape(-1,400).astype(np.float32)
  
# Size will be (2500,20x20)
test_data = NP_array[:,50:100].reshape(-1,400).astype(np.float32)
  
# Create 10 different labels 
# for each type of digit
k = np.arange(10)
train_labels = np.repeat(k,250)[:,np.newaxis]
test_labels = np.repeat(k,250)[:,np.newaxis]
   
# Initiate kNN classifier
knn = cv2.ml.KNearest_create()
  
# perform training of data
knn.train(train_data,
          cv2.ml.ROW_SAMPLE, 
          train_labels)
   
# obtain the output from the
# classifier by specifying the
# number of neighbors.
ret, output ,neighbours,
distance = knn.findNearest(test_data, k = 3)
   
# Check the performance and
# accuracy of the classifier.
# Compare the output with test_labels
# to find out how many are wrong.
matched = output==test_labels
correct_OP = np.count_nonzero(matched)
   
#Calculate the accuracy.
accuracy = (correct_OP*100.0)/(output.size)
   
# Display accuracy.
print(accuracy)


Output

91.64


Well, I decided to workout myself on my question to solve the above problem. What I wanted is to implement a simple OCR using KNearest or SVM features in OpenCV. And below is what I did and how. (it is just for learning how to use KNearest for simple OCR purposes).

1) My first question was about letter_recognition.data file that comes with OpenCV samples. I wanted to know what is inside that file.

It contains a letter, along with 16 features of that letter.

And this SOF helped me to find it. These 16 features are explained in the paper Letter Recognition Using Holland-Style Adaptive Classifiers. (Although I didn't understand some of the features at the end)

2) Since I knew, without understanding all those features, it is difficult to do that method. I tried some other papers, but all were a little difficult for a beginner.

So I just decided to take all the pixel values as my features. (I was not worried about accuracy or performance, I just wanted it to work, at least with the least accuracy)

I took the below image for my training data:

enter image description here

(I know the amount of training data is less. But, since all letters are of the same font and size, I decided to try on this).

To prepare the data for training, I made a small code in OpenCV. It does the following things:

  1. It loads the image.
  2. Selects the digits (obviously by contour finding and applying constraints on area and height of letters to avoid false detections).
  3. Draws the bounding rectangle around one letter and wait for key press manually. This time we press the digit key ourselves corresponding to the letter in the box.
  4. Once the corresponding digit key is pressed, it resizes this box to 10x10 and saves all 100 pixel values in an array (here, samples) and corresponding manually entered digit in another array(here, responses).
  5. Then save both the arrays in separate .txt files.

At the end of the manual classification of digits, all the digits in the training data (train.png) are labeled manually by ourselves, image will look like below:

enter image description here

Below is the code I used for the above purpose (of course, not so clean):

import sys

import numpy as np
import cv2

im = cv2.imread('pitrain.png')
im3 = im.copy()

gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
blur = cv2.GaussianBlur(gray,(5,5),0)
thresh = cv2.adaptiveThreshold(blur,255,1,1,11,2)

#################      Now finding Contours         ###################

contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)

samples =  np.empty((0,100))
responses = []
keys = [i for i in range(48,58)]

for cnt in contours:
    if cv2.contourArea(cnt)>50:
        [x,y,w,h] = cv2.boundingRect(cnt)
        
        if  h>28:
            cv2.rectangle(im,(x,y),(x+w,y+h),(0,0,255),2)
            roi = thresh[y:y+h,x:x+w]
            roismall = cv2.resize(roi,(10,10))
            cv2.imshow('norm',im)
            key = cv2.waitKey(0)

            if key == 27:  # (escape to quit)
                sys.exit()
            elif key in keys:
                responses.append(int(chr(key)))
                sample = roismall.reshape((1,100))
                samples = np.append(samples,sample,0)

responses = np.array(responses,np.float32)
responses = responses.reshape((responses.size,1))
print "training complete"

np.savetxt('generalsamples.data',samples)
np.savetxt('generalresponses.data',responses)

Now we enter in to training and testing part.

For the testing part, I used the below image, which has the same type of letters I used for the training phase.

enter image description here

For training we do as follows:

  1. Load the .txt files we already saved earlier
  2. create an instance of the classifier we are using (it is KNearest in this case)
  3. Then we use KNearest.train function to train the data

For testing purposes, we do as follows:

  1. We load the image used for testing
  2. process the image as earlier and extract each digit using contour methods
  3. Draw a bounding box for it, then resize it to 10x10, and store its pixel values in an array as done earlier.
  4. Then we use KNearest.find_nearest() function to find the nearest item to the one we gave. ( If lucky, it recognizes the correct digit.)

I included last two steps (training and testing) in single code below:

import cv2
import numpy as np

#######   training part    ############### 
samples = np.loadtxt('generalsamples.data',np.float32)
responses = np.loadtxt('generalresponses.data',np.float32)
responses = responses.reshape((responses.size,1))

model = cv2.KNearest()
model.train(samples,responses)

############################# testing part  #########################

im = cv2.imread('pi.png')
out = np.zeros(im.shape,np.uint8)
gray = cv2.cvtColor(im,cv2.COLOR_BGR2GRAY)
thresh = cv2.adaptiveThreshold(gray,255,1,1,11,2)

contours,hierarchy = cv2.findContours(thresh,cv2.RETR_LIST,cv2.CHAIN_APPROX_SIMPLE)

for cnt in contours:
    if cv2.contourArea(cnt)>50:
        [x,y,w,h] = cv2.boundingRect(cnt)
        if  h>28:
            cv2.rectangle(im,(x,y),(x+w,y+h),(0,255,0),2)
            roi = thresh[y:y+h,x:x+w]
            roismall = cv2.resize(roi,(10,10))
            roismall = roismall.reshape((1,100))
            roismall = np.float32(roismall)
            retval, results, neigh_resp, dists = model.find_nearest(roismall, k = 1)
            string = str(int((results[0][0])))
            cv2.putText(out,string,(x,y+h),0,1,(0,255,0))

cv2.imshow('im',im)
cv2.imshow('out',out)
cv2.waitKey(0)

And it worked, below is the result I got:

enter image description here


Here it worked with 100% accuracy. I assume this is because all the digits are of the same kind and the same size.

But anyway, this is a good start to go for beginners (I hope so).

Convert INT to FLOAT in SQL

In oracle db there is a trick for casting int to float (I suppose, it should also work in mysql):

select myintfield + 0.0 as myfloatfield from mytable

While @Heximal's answer works, I don't personally recommend it.

This is because it uses implicit casting. Although you didn't type CAST, either the SUM() or the 0.0 need to be cast to be the same data-types, before the + can happen. In this case the order of precedence is in your favour, and you get a float on both sides, and a float as a result of the +. But SUM(aFloatField) + 0 does not yield an INT, because the 0 is being implicitly cast to a FLOAT.

I find that in most programming cases, it is much preferable to be explicit. Don't leave things to chance, confusion, or interpretation.

If you want to be explicit, I would use the following.

CAST(SUM(sl.parts) AS FLOAT) * cp.price
-- using MySQL CAST FLOAT  requires 8.0

I won't discuss whether NUMERIC or FLOAT *(fixed point, instead of floating point)* is more appropriate, when it comes to rounding errors, etc. I'll just let you google that if you need to, but FLOAT is so massively misused that there is a lot to read about the subject already out there.

You can try the following to see what happens...

CAST(SUM(sl.parts) AS NUMERIC(10,4)) * CAST(cp.price AS NUMERIC(10,4))

Using .Select and .Where in a single LINQ statement

Did you add the Select() after the Where() or before?

You should add it after, because of the concurrency logic:

 1 Take the entire table  
 2 Filter it accordingly  
 3 Select only the ID's  
 4 Make them distinct.  

If you do a Select first, the Where clause can only contain the ID attribute because all other attributes have already been edited out.

Update: For clarity, this order of operators should work:

db.Items.Where(x=> x.userid == user_ID).Select(x=>x.Id).Distinct();

Probably want to add a .toList() at the end but that's optional :)

Get value of a merged cell of an excel from its cell address in vba

Even if it is really discouraged to use merge cells in Excel (use Center Across Selection for instance if needed), the cell that "contains" the value is the one on the top left (at least, that's a way to express it).

Hence, you can get the value of merged cells in range B4:B11 in several ways:

  • Range("B4").Value
  • Range("B4:B11").Cells(1).Value
  • Range("B4:B11").Cells(1,1).Value

You can also note that all the other cells have no value in them. While debugging, you can see that the value is empty.

Also note that Range("B4:B11").Value won't work (raises an execution error number 13 if you try to Debug.Print it) because it returns an array.

How to deal with bad_alloc in C++?

You can catch it like any other exception:

try {
  foo();
}
catch (const std::bad_alloc&) {
  return -1;
}

Quite what you can usefully do from this point is up to you, but it's definitely feasible technically.



In general you cannot, and should not try, to respond to this error. bad_alloc indicates that a resource cannot be allocated because not enough memory is available. In most scenarios your program cannot hope to cope with that, and terminating soon is the only meaningful behaviour.

Worse, modern operating systems often over-allocate: on such systems, malloc and new can return a valid pointer even if there is not enough free memory left – std::bad_alloc will never be thrown, or is at least not a reliable sign of memory exhaustion. Instead, attempts to access the allocated memory will then result in a segmentation fault, which is not catchable (you can handle the segmentation fault signal, but you cannot resume the program afterwards).

The only thing you could do when catching std::bad_alloc is to perhaps log the error, and try to ensure a safe program termination by freeing outstanding resources (but this is done automatically in the normal course of stack unwinding after the error gets thrown if the program uses RAII appropriately).

In certain cases, the program may attempt to free some memory and try again, or use secondary memory (= disk) instead of RAM but these opportunities only exist in very specific scenarios with strict conditions:

  1. The application must ensure that it runs on a system that does not overcommit memory, i.e. it signals failure upon allocation rather than later.
  2. The application must be able to free memory immediately, without any further accidental allocations in the meantime.

It’s exceedingly rare that applications have control over point 1 — userspace applications never do, it’s a system-wide setting that requires root permissions to change.1

OK, so let’s assume you’ve fixed point 1. What you can now do is for instance use a LRU cache for some of your data (probably some particularly large business objects that can be regenerated or reloaded on demand). Next, you need to put the actual logic that may fail into a function that supports retry — in other words, if it gets aborted, you can just relaunch it:

lru_cache<widget> widget_cache;

double perform_operation(int widget_id) {
    std::optional<widget> maybe_widget = widget_cache.find_by_id(widget_id);
    if (not maybe_widget) {
        maybe_widget = widget_cache.store(widget_id, load_widget_from_disk(widget_id));
    }
    return maybe_widget->frobnicate();
}

…

for (int num_attempts = 0; num_attempts < MAX_NUM_ATTEMPTS; ++num_attempts) {
    try {
        return perform_operation(widget_id);
    } catch (std::bad_alloc const&) {
        if (widget_cache.empty()) throw; // memory error elsewhere.
        widget_cache.remove_oldest();
    }
}

// Handle too many failed attempts here.

But even here, using std::set_new_handler instead of handling std::bad_alloc provides the same benefit and would be much simpler.


1 If you’re creating an application that does control point 1, and you’re reading this answer, please shoot me an email, I’m genuinely curious about your circumstances.


What is the C++ Standard specified behavior of new in c++?

The usual notion is that if new operator cannot allocate dynamic memory of the requested size, then it should throw an exception of type std::bad_alloc.
However, something more happens even before a bad_alloc exception is thrown:

C++03 Section 3.7.4.1.3: says

An allocation function that fails to allocate storage can invoke the currently installed new_handler(18.4.2.2), if any. [Note: A program-supplied allocation function can obtain the address of the currently installed new_handler using the set_new_handler function (18.4.2.3).] If an allocation function declared with an empty exception-specification (15.4), throw(), fails to allocate storage, it shall return a null pointer. Any other allocation function that fails to allocate storage shall only indicate failure by throw-ing an exception of class std::bad_alloc (18.4.2.1) or a class derived from std::bad_alloc.

Consider the following code sample:

#include <iostream>
#include <cstdlib>

// function to call if operator new can't allocate enough memory or error arises
void outOfMemHandler()
{
    std::cerr << "Unable to satisfy request for memory\n";

    std::abort();
}

int main()
{
    //set the new_handler
    std::set_new_handler(outOfMemHandler);

    //Request huge memory size, that will cause ::operator new to fail
    int *pBigDataArray = new int[100000000L];

    return 0;
}

In the above example, operator new (most likely) will be unable to allocate space for 100,000,000 integers, and the function outOfMemHandler() will be called, and the program will abort after issuing an error message.

As seen here the default behavior of new operator when unable to fulfill a memory request, is to call the new-handler function repeatedly until it can find enough memory or there is no more new handlers. In the above example, unless we call std::abort(), outOfMemHandler() would be called repeatedly. Therefore, the handler should either ensure that the next allocation succeeds, or register another handler, or register no handler, or not return (i.e. terminate the program). If there is no new handler and the allocation fails, the operator will throw an exception.

What is the new_handler and set_new_handler?

new_handler is a typedef for a pointer to a function that takes and returns nothing, and set_new_handler is a function that takes and returns a new_handler.

Something like:

typedef void (*new_handler)();
new_handler set_new_handler(new_handler p) throw();

set_new_handler's parameter is a pointer to the function operator new should call if it can't allocate the requested memory. Its return value is a pointer to the previously registered handler function, or null if there was no previous handler.

How to handle out of memory conditions in C++?

Given the behavior of newa well designed user program should handle out of memory conditions by providing a proper new_handlerwhich does one of the following:

Make more memory available: This may allow the next memory allocation attempt inside operator new's loop to succeed. One way to implement this is to allocate a large block of memory at program start-up, then release it for use in the program the first time the new-handler is invoked.

Install a different new-handler: If the current new-handler can't make any more memory available, and of there is another new-handler that can, then the current new-handler can install the other new-handler in its place (by calling set_new_handler). The next time operator new calls the new-handler function, it will get the one most recently installed.

(A variation on this theme is for a new-handler to modify its own behavior, so the next time it's invoked, it does something different. One way to achieve this is to have the new-handler modify static, namespace-specific, or global data that affects the new-handler's behavior.)

Uninstall the new-handler: This is done by passing a null pointer to set_new_handler. With no new-handler installed, operator new will throw an exception ((convertible to) std::bad_alloc) when memory allocation is unsuccessful.

Throw an exception convertible to std::bad_alloc. Such exceptions are not be caught by operator new, but will propagate to the site originating the request for memory.

Not return: By calling abort or exit.

How to round float numbers in javascript?

Number((6.688689).toFixed(1)); // 6.7

var number = 6.688689;
var roundedNumber = Math.round(number * 10) / 10;

Use toFixed() function.

(6.688689).toFixed(); // equal to "7"
(6.688689).toFixed(1); // equal to "6.7"
(6.688689).toFixed(2); // equal to "6.69"

Unable to add window -- token android.os.BinderProxy is not valid; is your activity running?

one simple workaround is to catch the exception :

try {
        alertDialog.show()
    }
catch (WindowManager.BadTokenException e) {
        //use a log message
    }

It's not elegant but sometimes easy when you have to manage async operations and you are not sure wether activity is up or not when you want to show the dialog.

What is "origin" in Git?

I was also confused by this, and below is what I have learned.

When you clone a repository, for example from GitHub:

  • origin is the alias for the URL from which you cloned the repository. Note that you can change this alias.

  • There is one master branch in the remote repository (aliased by origin). There is also another master branch created locally.

Further information can be found from this SO question: Git branching: master vs. origin/master vs. remotes/origin/master

Change the Value of h1 Element within a Form with JavaScript

document.getElementById("myh1id").innerHTML = "my text"

Can I change the fill color of an svg path with CSS?

It's possible to change the path fill color of the svg. See below for the CSS snippet:

  1. To apply the color for all the path: svg > path{ fill: red }

  2. To apply for the first d path: svg > path:nth-of-type(1){ fill: green }

  3. To apply for the second d path: svg > path:nth-of-type(2){ fill: green}

  4. To apply for the different d path, change only the path number:
    svg > path:nth-of-type(${path_number}){ fill: green}

  5. To support the CSS in Angular 2 to 8, use the encapsulation concept:

:host::ng-deep svg path:nth-of-type(1){
        fill:red;
    }

JSON to PHP Array using file_get_contents

Check some typo ','

<?php
 //file_get_content(url);
$jsonD = '{
    "bpath":"http://www.sampledomain.com/",
    "clist":[{
            "cid":"11",
            "display_type":"grid",
            "ctitle":"abc",
            "acount":"71",
            "alist":[{
                    "aid":"6865",
                    "adate":"2 Hours ago",
                    "atitle":"test",
                    "adesc":"test desc",
                    "aimg":"",
                    "aurl":"?nid=6865",
                    "weburl":"news.php?nid=6865",
                    "cmtcount":"0"
                },
                {
                    "aid":"6857",
                    "adate":"20 Hours ago",
                    "atitle":"test1",
                    "adesc":"test desc1",
                    "aimg":"",
                    "aurl":"?nid=6857",
                    "weburl":"news.php?nid=6857",
                    "cmtcount":"0"
                }
            ]
        },
        {
            "cid":"1",
            "display_type":"grid",
            "ctitle":"test1",
            "acount":"2354",
            "alist":[{
                    "aid":"6851",
                    "adate":"1 Days ago",
                    "atitle":"test123",
                    "adesc":"test123 desc",
                    "aimg":"",
                    "aurl":"?nid=6851",
                    "weburl":"news.php?nid=6851",
                    "cmtcount":"7"
                },
                {
                    "aid":"6847",
                    "adate":"2 Days ago",
                    "atitle":"test12345",
                    "adesc":"test12345 desc",
                    "aimg":"",
                    "aurl":"?nid=6847",
                    "weburl":"news.php?nid=6847",
                    "cmtcount":"7"
                }
            ]
        }
    ]
}
';

$parseJ = json_decode($jsonD,true);

print_r($parseJ);
?>

How do I use 'git reset --hard HEAD' to revert to a previous commit?

First, it's always worth noting that git reset --hard is a potentially dangerous command, since it throws away all your uncommitted changes. For safety, you should always check that the output of git status is clean (that is, empty) before using it.

Initially you say the following:

So I know that Git tracks changes I make to my application, and it holds on to them until I commit the changes, but here's where I'm hung up:

That's incorrect. Git only records the state of the files when you stage them (with git add) or when you create a commit. Once you've created a commit which has your project files in a particular state, they're very safe, but until then Git's not really "tracking changes" to your files. (for example, even if you do git add to stage a new version of the file, that overwrites the previously staged version of that file in the staging area.)

In your question you then go on to ask the following:

When I want to revert to a previous commit I use: git reset --hard HEAD And git returns: HEAD is now at 820f417 micro

How do I then revert the files on my hard drive back to that previous commit?

If you do git reset --hard <SOME-COMMIT> then Git will:

  • Make your current branch (typically master) back to point at <SOME-COMMIT>.
  • Then make the files in your working tree and the index ("staging area") the same as the versions committed in <SOME-COMMIT>.

HEAD points to your current branch (or current commit), so all that git reset --hard HEAD will do is to throw away any uncommitted changes you have.

So, suppose the good commit that you want to go back to is f414f31. (You can find that via git log or any history browser.) You then have a few different options depending on exactly what you want to do:

  • Change your current branch to point to the older commit instead. You could do that with git reset --hard f414f31. However, this is rewriting the history of your branch, so you should avoid it if you've shared this branch with anyone. Also, the commits you did after f414f31 will no longer be in the history of your master branch.
  • Create a new commit that represents exactly the same state of the project as f414f31, but just adds that on to the history, so you don't lose any history. You can do that using the steps suggested in this answer - something like:

    git reset --hard f414f31
    git reset --soft HEAD@{1}
    git commit -m "Reverting to the state of the project at f414f31"
    

Can the Twitter Bootstrap Carousel plugin fade in and out on slide transition

Yes. Although I use the following code.

.carousel.fade
{
    opacity: 1;

    .item
    {
        -moz-transition: opacity ease-in-out .7s;
        -o-transition: opacity ease-in-out .7s;
        -webkit-transition: opacity ease-in-out .7s;
        transition: opacity ease-in-out .7s;
        left: 0 !important;
        opacity: 0;
        top:0;
        position:absolute;
        width: 100%;
        display:block !important;
        z-index:1;
        &:first-child{
            top:auto;
            position:relative;
        }

        &.active
        {
            opacity: 1;
            -moz-transition: opacity ease-in-out .7s;
            -o-transition: opacity ease-in-out .7s;
            -webkit-transition: opacity ease-in-out .7s;
            transition: opacity ease-in-out .7s;
            z-index:2;
        }
    }
}

Then change the class on the carousel from "carousel slide" to "carousel fade". This works in safari, chrome, firefox, and IE 10. It will correctly downgrade in IE 9, however, the nice face effect doesn't happen.

Edit: Since this answer has gotten so popular I've added the following which rewritten as pure CSS instead of the above which was LESS:

.carousel.fade {
  opacity: 1;
}
.carousel.fade .item {
  -moz-transition: opacity ease-in-out .7s;
  -o-transition: opacity ease-in-out .7s;
  -webkit-transition: opacity ease-in-out .7s;
  transition: opacity ease-in-out .7s;
  left: 0 !important;
  opacity: 0;
  top:0;
  position:absolute;
  width: 100%;
  display:block !important;
  z-index:1;
}
.carousel.fade .item:first-child {
  top:auto;
  position:relative;
}
.carousel.fade .item.active {
  opacity: 1;
  -moz-transition: opacity ease-in-out .7s;
  -o-transition: opacity ease-in-out .7s;
  -webkit-transition: opacity ease-in-out .7s;
  transition: opacity ease-in-out .7s;
  z-index:2;
}

PHP Email sending BCC

You were setting BCC but then overwriting the variable with the FROM

$to = "[email protected]";
     $subject .= "".$emailSubject."";
 $headers .= "Bcc: ".$emailList."\r\n";
 $headers .= "From: [email protected]\r\n" .
     "X-Mailer: php";
     $headers .= "MIME-Version: 1.0\r\n";
     $headers .= "Content-Type: text/html; charset=ISO-8859-1\r\n";
 $message = '<html><body>';
 $message .= 'THE MESSAGE FROM THE FORM';

     if (mail($to, $subject, $message, $headers)) {
     $sent = "Your email was sent!";
     } else {
      $sent = ("Error sending email.");
     }

jQuery set radio button

Using .filter() also works, and is flexible for id, value, name:

$('input[name="cols"]').filter("[value='Site']").attr('checked', true);

(seen on this blog)

Renaming a branch in GitHub

In my case, I needed an additional command,

git branch --unset-upstream

to get my renamed branch to push up to origin newname.

(For ease of typing), I first git checkout oldname. Then run the following:

git branch -m newname <br/> git push origin :oldname*or*git push origin --delete oldname
git branch --unset-upstream
git push -u origin newname or git push origin newname

This extra step may only be necessary because I (tend to) set up remote tracking on my branches via git push -u origin oldname. This way, when I have oldname checked out, I subsequently only need to type git push rather than git push origin oldname.

If I do not use the command git branch --unset-upstream before git push origin newbranch, git re-creates oldbranch and pushes newbranch to origin oldbranch -- defeating my intent.

Find if listA contains any elements not in listB

You can do it in a single line

var res = listA.Where(n => !listB.Contains(n));

This is not the fastest way to do it: in case listB is relatively long, this should be faster:

var setB = new HashSet(listB);
var res = listA.Where(n => !setB.Contains(n));

Converting string from snake_case to CamelCase in Ruby

If you use Rails, Use classify. It handles edge cases well.

"app_user".classify # => AppUser
"user_links".classify   # => UserLink

Note:

This answer is specific to the description given in the question(it is not specific to the question title). If one is trying to convert a string to camel-case they should use Sergio's answer. The questioner states that he wants to convert app_user to AppUser (not App_user), hence this answer..

Count indexes using "for" in Python

Just use

for i in range(0, 5):
    print i

to iterate through your data set and print each value.

For large data sets, you want to use xrange, which has a very similar signature, but works more effectively for larger data sets. http://docs.python.org/library/functions.html#xrange

How can I get the CheckBoxList selected values, what I have doesn't seem to work C#.NET/VisualWebPart

check boxlist selected values with seperator

 string items = string.Empty;
        foreach (ListItem i in CheckBoxList1.Items)
        {
            if (i.Selected == true)
            {
                items += i.Text + ",";
            }
        }
        Response.Write("selected items"+ items);

CSS values using HTML5 data attribute

You can create with javascript some css-rules, which you can later use in your styles: http://jsfiddle.net/ARTsinn/vKbda/

var addRule = (function (sheet) {
    if(!sheet) return;
    return function (selector, styles) {
        if (sheet.insertRule) return sheet.insertRule(selector + " {" + styles + "}", sheet.cssRules.length);
        if (sheet.addRule) return sheet.addRule(selector, styles);
    }
}(document.styleSheets[document.styleSheets.length - 1]));

var i = 101;
while (i--) {
    addRule("[data-width='" + i + "%']", "width:" + i + "%");
}

This creates 100 pseudo-selectors like this:

[data-width='1%'] { width: 1%; }
[data-width='2%'] { width: 2%; }
[data-width='3%'] { width: 3%; }
...
[data-width='100%'] { width: 100%; }

Note: This is a bit offtopic, and not really what you (or someone) wants, but maybe helpful.

How to compare two dates to find time difference in SQL Server 2005, date manipulation

Cast the result as TIME and the result will be in time format for duration of the interval.

select CAST(job_end - job_start) AS TIME(0)) from tableA

Verify External Script Is Loaded

Few too many answers on this one, but I feel it's worth adding this solution. It combines a few different answers.

Key points for me were

  • add an #id tag, so it's easy to find, and not duplicate
  • Use .onload() to wait until the script has finished loading before using it

    mounted() {
      // First check if the script already exists on the dom
      // by searching for an id
      let id = 'googleMaps'
      if(document.getElementById(id) === null) {
        let script = document.createElement('script')
        script.setAttribute('src', 'https://maps.googleapis.com/maps/api/js?key=' + apiKey)
        script.setAttribute('id', id)
        document.body.appendChild(script) 
    
        // now wait for it to load...
        script.onload = () => {
            // script has loaded, you can now use it safely
            alert('thank me later')
            // ... do something with the newly loaded script
        }      
      }
    }
    

Java sending and receiving file (byte[]) over sockets

To avoid the limitation of the file size , which can cause the Exception java.lang.OutOfMemoryError to be thrown when creating an array of the file size byte[] bytes = new byte[(int) length];, instead we could do

    byte[] bytearray = new byte[1024*16];
    FileInputStream fis = null;
    try {

        fis = new FileInputStream(file);
        OutputStream output= socket.getOututStream();
        BufferedInputStream bis = new BufferedInputStream(fis);

        int readLength = -1;
        while ((readLength = bis.read(bytearray)) > 0) {
            output.write(bytearray, 0, readLength);

        }
        bis.close();
        output.close();
    }
    catch(Exception ex ){

        ex.printStackTrace();
    } //Excuse the poor exception handling...

Formatting Numbers by padding with leading zeros in SQL Server

Hated having to CONVERT the int, and this seems much simpler. Might even perform better since there's only one string conversion and simple addition.

select RIGHT(1000000 + EmployeeId, 6) ...

Just make sure the "1000000" has at least as many zeros as the size needed.