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Introduction to OpenCV dilate

The following article provides an outline for OpenCV dilate. The set of operations that can process the images according to the shapes of the images are called morphological operations and performing morphological operations on a given image develops a structural element on the given image which removes noise from the image or settles down any imperfections to make the image very clear and performing convolution with kernel having an anchor point, of a particular shape in a given input image is called dilation using the size of the object in white color in the given image increases or the size of the object in black color in the given image decreases.

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Syntax to define dilate() function in OpenCV:

dilate(source_image, kernel)

Where,

source_image is the image which is to be dilated using dilate() function.

kernel represents the kernel matrix.

Working of dilate() Function in OpenCV

The process of performing convolution with kernel having anchor point of a particular shape in a given input image is called dilate() function in OpenCV.

The dilate() function starts with computing the minimum pixel value by overlapping the kernel over the input image.

And then the image is replaced by the kernel anchor at the center.

This causes the white regions in the image to grow bigger in size and the image size increases as well.

The dilate() function returns an image with increased size of white shade in the given image.

Examples of OpenCV dilate

Given below are the examples of OpenCV dilate:

Example #1

OpenCV program in python to demonstrate dilate() function to read the given image and increase the size of white region in the image and display the resulting image as the output on the screen.

Code:

#importing all the required modules import numpy as np import cv2 as cv #reading the image that is to be dilated using imread() function imageread = cv.imread('C:/Users/admin/Desktop/logo2.png') #defining the matrix for kernel to apply dilate() function on the image to dilate the image kernelmatrix = np.ones((5, 5), np.uint8) #applying dilate() function on the image to dilate the image and display it as the output on the screen resultimage = cv.dilate(imageread, kernelmatrix) cv.imshow('Dilated_image', resultimage) cv.waitKey(0) cv.destroyAllWindows()

Output:

In the above program, we are importing the required modules. Then we are reading the image which is to be dilated, using imread() function. Then we are making use of use of dilate() function to dilate the image. Then we are displaying the dilated image as the output on the screen.

Example #2

OpenCV program in python to demonstrate dilate() function to read the given image and increase the size of white region in the image and display the resulting image as the output on the screen.

#importing all the required modules import numpy as np import cv2 as cv #reading the image that is to be dilated using imread() function imageread = cv.imread('C:/Users/admin/Desktop/logo1.jpg') #defining the matrix for kernel to apply dilate() function on the image to dilate the image kernelmatrix = np.ones((5, 5), np.uint8) #applying dilate() function on the image to dilate the image and display it as the output on the screen resultimage = cv.dilate(imageread, kernelmatrix) cv.imshow('Dilated_image', resultimage) cv.waitKey(0) cv.destroyAllWindows()

Output:

In the above program, we are importing the required modules. Then we are reading the image which is to be dilated, using imread() function. Then we are making use of use of dilate() function to dilate the image. Then we are displaying the dilated image as the output on the screen.

Example #3

OpenCV program in python to demonstrate dilate() function to read the given image and increase the size of white region in the image and display the resulting image as the output on the screen.

Code:

#importing all the required modules import numpy as np import cv2 as cv #reading the image that is to be dilated using imread() function imageread = cv.imread('C:/Users/admin/Desktop/educba1.jpg') #defining the matrix for kernel to apply dilate() function on the image to dilate the image kernelmatrix = np.ones((5, 5), np.uint8) #applying dilate() function on the image to dilate the image and display it as the output on the screen resultimage = cv.dilate(imageread, kernelmatrix) cv.imshow('Dilated_image', resultimage) cv.waitKey(0) cv.destroyAllWindows()

Output:

In the above program, we are importing the required modules. Then we are reading the image which is to be dilated, using imread() function. Then we are making use of use of dilate() function to dilate the image. Then we are displaying the dilated image as the output on the screen.

Example #4

OpenCV program in python to demonstrate dilate() function to read the given image and increase the size of white region in the image and display the resulting image as the output on the screen.

Code:

#importing all the required modules import numpy as np import cv2 as cv #reading the image that is to be dilated using imread() function imageread = cv.imread('C:/Users/admin/Desktop/lo.jpg') #defining the matrix for kernel to apply dilate() function on the image to dilate the image kernelmatrix = np.ones((5, 5), np.uint8) #applying dilate() function on the image to dilate the image and display it as the output on the screen resultimage = cv.dilate(imageread, kernelmatrix) cv.imshow('Dilated_image', resultimage) cv.waitKey(0) cv.destroyAllWindows()

Output:

In the above program, we are importing the required modules. Then we are reading the image which is to be dilated, using imread() function. Then we are making use of use of dilate() function to dilate the image. Then we are displaying the dilated image as the output on the screen.

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Python Vulnerability In Input() Function

In this article, we will learn about how the input function behaves in an undesirable manner in version 2.x. Or earlier. In version 2.x. the raw_input() function works as replacement of the input() function . In newer versions 3.x. or later all the desirable features & functionalities of both functions are merged into the input() function.

Firstly let’s look at the input type of built-in functions for taking input in Python 2.x.

Example # Input Given : String str1 = raw_input("Output of raw_input() function: ") print type(str1) str2 = input("Output of input() function: ") print type(str2) # Input Given : Float str3 = raw_input("Output of raw_input() function: ") print type(str3) str4 = input("Output of input() function: ") print type(str4) # Input Given : Integer str5 = raw_input("Output of raw_input() function: ") print type(str5) str6 = input("Output of input() function: ") print type(str6) Output Output of raw_input() function: Output of input() function: Output of raw_input() function: Output of input() function: Output of raw_input() function: Output of input() function:

Explanation − From the output, it is quite evident that the raw_input function explicitly converts the input to string type irrespective of the type of input provided. On the contrary, the input function retains the same data type as provided during input.

Now after seeing the above example you may be wondering that if input function retains the data type then why it is vulnerable? Let’s clarify this using an illustration −

ILLUSTRATION 1: Now let’s make a dice game using the random module. Example import random as rd number = random.randint(1,6) print ("Pick a number between 1 to 6") while True:    user_input = input("Guess the number: ")    if user_input==number:       print ("You guessed it right.")       break    else:       print ("OOPS! try it next time.")       continue

Explanation − In case the user provides an integer input then the desired output according to conditional expressions will be computed accordingly.

In case the user provides a string input i.e. identical to the variable name in which we storing the random integer generated by dice using the random module, then also the output is computed. But this must not be desired output that we want to compute. Actually, it must raise an error bearing wrong input type when a string input. It considers the variable name equivalent to a number directly entered by the user, The expression yields a True Boolean value and game reaches the end. On the contrary, if I used raw_input() instead, no such issue is encountered.

This vulnerability may prove fatal in case we are storing login credentials, user details & account passwords.

ILLUSTRATION 1: Now let’s make a system which asks for the pin and compares with the stored value. Example stored_value = 7863 def return_function():    return stored_value inp = input() if inp == stored_value:    print "You Entered Correctly" else:    print "Oops! It's Incorrect" Explanation

As we discussed in the previous ILLUSTRATION that in case input provided is on integer type, the function works normally. But in any case user provide input identical to the return value of the function, the conditional becomes True and output is produced.

This is very dangerous to use in case of handling critical and confidential pieces of information like pins & passwords. This can be overcome by using raw_input() provided in Python 2.x.

From the above two ILLUSTRATIONS, it is quite clear that the input function makes the program ready for direct Variable attack.

Conclusion

In this article, we learnt what all issues and loopholes are encountered while using the input() function in Python 2.x. needed.

Aws Lambda – Function In Go

AWS Lambda – Function in Go

Go Language support is a recent addition to AWS. To work with Go, you need to select the language from AWS console while creating the AWS Lambda function. In this chapter, let us learn in detail about AWS Lambda function in Go language.

Installing Go

Now, download the package as per the operating system. Follow the procedure given here to install Go on the respective operating system.

Installation on Windows

Observe that for Windows, there is 32-bit and 64-bit download available. Download the zip file and extract the contents and store it in a directory of your choice.

You can also edit the system variable as shown here −

Once these steps are done, you should be able to start working with Go. Open command prompt and check the Go command for version. Observe the following screenshot for the same.

Installation for Linux and Mac OS

For installing packages on Linux and Mac OS, follow the instruction as shown below −

Unpack the packages and store it at the location /usr/local/go. Now, add /usr/local/go/bin to the PATH environment variable. It can be done using /etc/profile or $HOME/.profile.

For this purpose, you can use the following command

export PATH=$PATH:/usr/local/go/bin

To add AWS support to for Windows, Linux and mac, use the following in your git command line −

go.exe get -u chúng tôi

To compile the code Windows/Linux/Mac, use the following commands −

GOOS=linux GOARCH=amd64 go build -o main main.go %GOPATH%binbuild-lambda-zip.exe -o chúng tôi main AWS Lambda Function using GO

A program returned in Go when build gives an executable file. The following is a simple program in Go with AWS Lambda support. We need to import the chúng tôi , as this has the Lambda programming functionality.Another important need for AWS Lambda is the handler.

Main.go package main import ( ) func hello() (string, error) { return "Hello Lambda", nil } func main() { lambda.Start(hello) }

Note that the execution of the Go program starts from main where lambda. start is called with the handler function. Observe the code shown below −

func main() { lambda.Start(hello) }

Now, let us execute the above file using Go command and then zip the executable file.

The structure of the file we have been using is as shown here −

With go build, it creates an executable file called chúng tôi To zip the file and upload it in AWS Lambda, you can use the following procedure −

To compile the code Windows/Linux/Mac, use the following commands −

GOOS=linux GOARCH=amd64 go build -o main main.go %GOPATH%binbuild-lambda-zip.exe -o chúng tôi main

Then, login into AWS console and create Lambda function using Go as runtime −

Once the function is created, upload the executable zip file created above.

Lambda function handler with Go

Handler is where the execution of the Go program starts. From main call to lambda.start, execution is called with the handler function. Note that the handler to be added will be main.

Observe the code here for an understanding −

func main() { lambda.Start(hello) }

Follow as per the screenshots given below −

Now, save the function and test it. You can see the execution result as shown here.

The corresponding log output will be as shown here −

Context object with Go

AWS Lambda in Go gives following global variables and properties for context.

MemoryLimitInMB − Memory limit, in MB that is configured in aws lambda.

FunctionName − name of aws lambda function.

FunctionVersion − the version of aws lambda function executing.

LogStreamName − cloudwatch log stream name.

LogGroupName − cloudwatch group name.

The properties available on context are given as under −

AwsRequestID

This is AWS request id which you get when AWS Lambda function is invoked.

ClientContext

This contains details about the client application and device when invoked through the AWS Mobile SDK. It can be null. Client context provides details like client ID, application title, version name, version code, and the application package name.

InvokedFunctionArn

The ARN of the function invoked. An unqualified ARN executes the $LATEST version and aliases execute the function version it is pointing to.

Identity

It gives details about the Amazon Cognito identity provider when used with AWS mobile SDK.

The changes added to chúng tôi to print context details −

package main import ( "context" "log" ) func hello(ctx context.Context) (string, error) { lc, _ := lambdacontext.FromContext(ctx); log.Print(lc); log.Print(lc.AwsRequestID); log.Print(lc.InvokedFunctionArn); return "Hello Lambda", nil } func main() { lambda.Start(hello) }

We need to import the log and lambda context to use it with Go. The context details are as follows −

func hello(ctx context.Context) (string, error) { lc, _ := lambdacontext.FromContext(ctx); log.Print(lc); log.Print(lc.AwsRequestID); log.Print(lc.InvokedFunctionArn); return "Hello Lambda", nil }

You can observe the following output on testing the above code −

Logging data

With Go you can log data using the log or fmt module as shown below −

package main import ( "log" "fmt" ) func hello() (string, error) { log.Print("Hello from Lambda Go using log"); fmt.Print("Hello from Lambda Go using fmt"); return "Hello Lambda", nil } func main() { lambda.Start(hello) }

The output for same is as shown below −

Checking Logs in CloudWatch Function Errors

You can create custom error handling in AWS Lambda using the errors module as shown in the code below −

package main import ( "errors" ) func hello() error { return errors.New("There is an error in the code!") } func main() { lambda.Start(hello) }

The output for the code shown above is as given below −

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Working Of Md5() Functions In Php With Examples

Introduction to PHP md5()

The MD5() function of the PHP Programming Language will produce the hash of the string which is like encoding process. MD5() function works only on PHP 4, 5, 7 versions but for the other PHP version the hash encoder “md5()” may work or may not work mostly. Most of the times md5() function is not recommended to safely secure the passwords due to the function’s fast nature of encoding with the help of its inbuilt hashing algorithm. It accepts only two parameters. In those two only one is mandatory at all times.

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Syntax:

String md5 ($string, $getRawOutput)

Explanation of Parameters in brief:

MD5() function of the PHP Programming Language takes two parameters at max. They are: $string parameter and $getRawOutput parameter.

$string: $string parameter will help us to expect the string to be hashed.

$getRawOutput: $getRawOutput parameter will help us to expect a Boolean value. For the TRUE result the function is going to return the HASH in raw binary format which is of the length 16.

Return type: The md5() function of PHP will return the hashed string ( it can either be in lowercase hex format character sequence which is of length 32 ( 32 character hexadecimal number )or for raw binary form which is of the length 16).

How do MD5() Functions work in PHP?

MD5() function of the PHP Programming Language works for PHP 4, PHP 5 and PHP 7 versions up to now. Apart from these versions md5() function may not work mostly. It is a built-in function and by using the md5() function we initiate the HASHING algorithm inside of the PHP Programming Language. With the backend Hashing Algorithm, conversion of hashing of the specific numerical value/ string value/ any other will be done as needed. It is very helpful in the encoding process. MD5() function value will always be in 32 bit binary format unless second parameter is used inside of the md5() function. At that time md5() value will be 16 bit binary format.

Examples to Implement PHP md5()

Below are the examples:

Example #1

Code:

<?php $str1 = 'apples'; print "This is the value of HASH of apples :: "; $a1 = md5($str1); if (md5($str1) === '1f3870be274f6c49b3e31a0c6728957f') { echo "If the value of apples is :: 1f3870be274f6c49b3e31a0c6728957f then it will print :: "; } else{ }

Output:

Example #2

Code:

<?php $input_string1 = 'Pavan Kumar Sake'; echo '16 bit binary format :: '; $i1 = md5($input_string1,TRUE); echo $i1;

Output:

Example #3

Code:

<?php $k = 10; for($i=0;$i<=$k;$i++){ print "Hash code of $i :: "; print md5($i); }

Example #4

Code:

<?php $user1 = "Pavan Kumar Sake"; $pass1 = "pavansake123"; $user1_encode = md5($user1); $pass1_encode = md5($pass1); if (md5($user1)== "4c13476f5dd387106a2a629bf1a9a4a7"){ if(md5($pass1)== "20b424c60b8495fae92d450cd78eb56d"){ echo "Password is also correct so login will be successful"; } else{ echo "Incorrect Password is entered"; } } else{ echo "Incorrect Username is entered"; }

Output:

Conclusion

I hope you understood what is the definition of PHP md5() function with the syntax and its explanation, Info regarding the parameters in brief detail, Working of md5() function in PHP along with the various examples to understand the concept well.

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How Resample() Function Works In Pandas

Introduction to Pandas resample

Web development, programming languages, Software testing & others

Syntax of Pandas resample

Given below is the syntax :

Pandas. Resample(how=None, rule, fill_method=None, axis=0, label=None, closed=None, kind=None, convention='start', limit=None, loffset=None, on=None, base=0, level=None)

Where,

Rule represents the offset string or object representing target conversion.

Axis represents the pivot to use for up-or down-inspecting. For Series this will default to 0, for example along the lines. It must be DatetimeIndex, TimedeltaIndex or PeriodIndex.

Closed means which side of container span is shut. The default is ‘left’ for all recurrence balances with the exception of ‘M’, ‘A’, ‘Q’, ‘BM’, ‘BA’, ‘BQ’, and ‘W’ which all have a default of ‘right’.

Label represents the canister edge name to name pail with. The default is ‘left’ for all recurrence counterbalances which all have a default of ‘right’.

Convention represents only for PeriodIndex just, controls whether to utilize the beginning or end of rule.

Kind represents spending on ‘timestamp’ to change over the subsequent file to a DateTimeIndex or ‘period’ to change over it to a PeriodIndex. As a matter of course the info portrayal is held.

Loffset represents in reorganizing timestamp labels.

Base means the frequencies for which equitably partition 1 day, the “birthplace” of the totalled stretches.

On represents For a DataFrame, segment to use rather than record for resampling. Segment must be datetime-like.

Level means for a MultiIndex, level (name or number) to use for resampling. Level must be datetime-like.

How does resample() Function works in Pandas?

Given below shows how the resample() function works :

Example #1

Code:

import pandas as pd import numpy as np info = pd.date_range('1/1/2013', periods=6, freq='T') series = pd.Series(range(6), index=info) series.resample('2T').sum() print(series.resample('2T').sum())

Output:

In the above program we see that first we import pandas and NumPy libraries as np and pd, respectively. Then we create a series and this series we add the time frame, frequency and range. Now we use the resample() function to determine the sum of the range in the given time period and the program is executed.

Example #2 import pandas as pd import numpy as np info = pd.date_range('3/2/2013', periods=6, freq='T') series = pd.Series(range(6), index=info) series.resample('2T', label='right').sum() print(series.resample('2T', label='right').sum())

Output:

In the above program, we first as usual import pandas and numpy libraries as pd and np respectively. Then we create a series and this series we define the time index, period index and date index and frequency. Finally, we use the resample() function to resample the dataframe and finally produce the output.

Example #3

Code:

import pandas as pd import numpy as np info = pd.date_range('3/2/2013', periods=6, freq='T') series = pd.Series(range(6), index=info) series.resample('2T', label='right', closed='right').sum() print(series.resample('2T', label='right', closed='right').sum())

In the above program, we first import the pandas and numpy libraries as before and then create the series. After creating the series, we use the resample() function to down sample all the parameters in the series. Finally, we add label and closed parameters to define and execute and show the frequencies of each timestamp.

The resample technique in pandas is like its groupby strategy as you are basically gathering by a specific time length. You at that point determine a technique for how you might want to resample. df.speed.resample() will be utilized to resample the speed segment of our DataFrame. The ‘W’ demonstrates we need to resample by week. At the base of this post is a rundown of various time periods. The mean() is utilized to show we need the mean speed during this period. With separation, we need the aggregate of the separations throughout the week to perceive how far the vehicle went throughout the week, all things considered we use whole(). With aggregate separation we simply need to accept the last an incentive as it’s a running total aggregate, so all things considered we utilize last().

Conclusion

As an information researcher or AI engineer, we may experience such sort of datasets where we need to manage dates in our dataset. In this article, we will see pandas works that will help us in the treatment of date and time information. With the correct information on these capacities, we can without much of a stretch oversee datasets that comprise of datetime information and other related undertakings.

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How Crypt() Function Works In Php

Introduction to PHP crypt()

PHP crypt() function is a part of PHP string references whose main function is to return a hashed string using some special algorithms. PHP crypt() function is associated with the algorithms like DES, Blowfish or MD5 algorithms for its overall network and cryptographic encryption and decryption of string being passed from the crypt() function. Crypt() function vary from one function to another function in a way that behavior gets transformed accordingly to different operating system. It checks for all the available algorithms or if any need is there to install new algorithm for encryption.

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Syntax:

crypt(str,salt)

The syntax flows in a way that crypt function is a function which passes string and salt as a parameter.

str is a required string which specifies the string needs to be hashed in a one-way fashion.

salt is another optional parameter where a salt string to base the hashing on.

But PHP with versions of 5+ have salt as a parameter to pass carrying different algorithms like blowfish nodes, standard DES algorithm, extended DES and the blowfish algorithm.

How crypt() Function works in PHP?

Crypt is a one-way string hashing.

Salt as a parameter gets passed to crypt() function is optional. But if salt parameter is not passed then that key will be considered as weak hash.

To perform a good security, it is important to pass a very strong hashed key. A strong hash which is used to generate a strong salt and then applies a proper rounds of hash key rotation in a round robin fashion uses a password_hash.

Using a password_hash is a recommended method in a way it acts as a wrapper on top of the algorithm and makes the algorithm compatible with one-way hashing string.

As mentioned, these crypt() function works on an operating system which support many different operating systems which acts as a key.

The salt parameter passed with the string to the crypt function triggers to the salt algorithm. These functionalities work with the 4 version of PHP but the versions more than 5 .

PHP has a capability of creating an auto-generated key if no DES salt parameter is present. If in case it is related to the twelve-character key, then MD5 algorithm will create a one-way hashed key.

PHP crypt() Constants 1. CRYPT_STD_DES

First constant which has a two-character salt parameter passed from the alphabet. Also, supports for the values supporting the digits with numbers of uppercase 0-9 and alphabets with upper case A-Z and lower case alphabets like a-z. crypt function will get failed if some invalid characters will be used while passing the salt parameter.

Example: A program to illustrate CRYPT_STD_DES constant.

Code:

<?php if (CRYPT_STD_DES == 1) { echo "Standard DES: ".crypt('educba','string')."n"; } else { echo "Do not support standard DES.n"; }

Output:

2. CRYPT_EXT_DES

This constant is a type of extension to the DES based hashing function. If the salt parameter being passed has a nine character string followed by the parameter of 4 bytes, then only the algorithm will get satisfied.

Example: A program to illustrate CRYPT_EXT_DES constant.

Code:

<?php if (CRYPT_EXT_DES == 1) { echo "Extended DES: ".crypt('anu','_D8..dutta')."n"; } else { echo "It do not support for Extended DES.n"; }

Output:

3. CRYPT_MD5

This constant MD5 works with hashing function including crypt parallelly with a character of salt parameter having a length of twelve character.

Example: A program to illustrate CRYPT_MD5 constant.

<?php if (CRYPT_MD5 == 1) { echo "MD5: ".crypt('mansi','$1$trying$')."n"; } else { echo "Do not support for MD5.n"; }

Output:

4. CRYPT_BLOWFISH

This constant support for the function with salt parameter containing some cost parameter ranging from “$” to 22. If the parameter value does not lie within the specified range, then it will return a string of zero-length. The cost parameter is considered as twice if the base of logarithmic value for the illustrated blowfish-based hashing algorithm. PHP versions of 5 and above supports for the given constant.

Example: A program to illustrate CRYPT_BLOWFISH constant.

Code:

<?php if (CRYPT_BLOWFISH == 1) { echo "Blowfish: ".crypt('sunrise','$1b$08$mkstringexforsaltparam$')."n"; } else { echo "It do not support for Blowfish.n"; }

Output:

5. CRYPT_SHA256

SHA-256 is a constant which is part of the algorithm with a hash value of sixteen character. If in case the string gets started with the round of $N hen it indicates number of times hashed function gets called and executes with the optimization and cost factor like Blowfish algorithm. Also, if the selection of numbers does not lie outside the range then the next value of the range will get approximation to the closest value of the range.

Example: A program to illustrate CRYPT_SHA256 constant.

<?php if (CRYPT_SHA256 == 1) { echo "SHA-256: ".crypt('sunfeast','$8$rounds=8000$examplestringforsaltofsalt$')."n"; } else { echo "It do not support for CRYPT_SHA256.n"; }

Output:

6. CRYPT_SHA512

This is a constant which is prefixed with some value like 6$. If the round function gets started with the value of taken round of number of salts , then it points for the optimized value same as Blowfish function. Also, it can be said that behavior of the constant is same as SHA-256 constant with just some mere differences.

Example: A program to illustrate CRYPT_SHA512 constant.

Code:

<?php if (CRYPT_SHA512 == 1) { echo "SHA-512: ".crypt('things','$9$rounds=9000$xamplestringof90salt$'); } else { echo " It donot support for CRYPT_SHA512 ."; }

Output:

Note: The system with version of 5.3.0 contains implementation of its own type and will use that implementation if that system lacks the install then it will look for the constant and its related algorithm for self-installation and implementation.

Conclusion – PHP crypt()

PHP crypt() function can encrypt the hashed string and is a one directional cryptographic method supporting the mentioned algorithm and it specifically supports for encryption not for decryption that is why it is named as one-directional algorithm.

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