Here's an example of how you could delete duplicate IP addresses in a file using PHP:

<?php

// Open the input file for reading
$inFile = fopen('TestNewIPs.txt', 'r');

// Create an empty array to store the unique IP addresses
$uniqueIps = array();

// Loop through each line in the input file
while ($line = fgets($inFile)) {
    // Trim any whitespace from the beginning or end of the line
    $line = trim($line);

    // If the line (IP address) is not already in the array, add it
    if (!in_array($line, $uniqueIps)) {
        $uniqueIps[] = $line;
    }
}

// Close the input file
fclose($inFile);

// Open a new output file for writing
$outFile = fopen('TestNewIPs_unique.txt', 'w');

// Loop through the array of unique IP addresses and write them to the output file
foreach ($uniqueIps as $ip) {
    fwrite($outFile, $ip . "\n");
}

// Close the output file
fclose($outFile);

?>

This PHP code will read the input file line by line, trim any whitespace from the beginning or end of each line, and add it to an array of unique IP addresses if it hasn't been added already. Then, it will open a new output file and write each unique IP address to a new line in the file. Note that this code assumes that the input file is named TestNewIPs.txt and that the output file should be named TestNewIPs_unique.txt. You may need to adjust these filenames to match your specific use case.

You can search the e7u3qf_ip_data table to see if there are any duplicate IP addresses, and then remove the extra rows that have the same IP address. Here's an example of how you could do this:

<?php
// Establish a database connection
$pdo = new PDO('mysql:host=localhost;dbname=my_database', 'my_username', 'my_password');

// Find duplicate IP addresses
$stmt = $pdo->prepare('SELECT ip_address, COUNT(*) as count FROM e7u3qf_ip_data GROUP BY ip_address HAVING count > 1');
$stmt->execute();
$results = $stmt->fetchAll(PDO::FETCH_ASSOC);

// Loop over the duplicate IP addresses and remove the extra rows
foreach ($results as $row) {
  $ip_address = $row['ip_address'];
  $count = $row['count'];

  // Delete the extra rows for this IP address
  $stmt = $pdo->prepare('DELETE FROM e7u3qf_ip_data WHERE ip_address = :ip_address ORDER BY id ASC LIMIT :limit');
  $stmt->bindValue(':ip_address', $ip_address, PDO::PARAM_STR);
  $stmt->bindValue(':limit', $count - 1, PDO::PARAM_INT);
  $stmt->execute();
}
?>

This code uses a SELECT statement to find any IP addresses in the e7u3qf_ip_data table that appear more than once, and then uses a loop to remove the extra rows for each duplicate IP address.

The SELECT statement uses the GROUP BY clause to group the rows by the ip_address column and the COUNT(*) function to count the number of rows in each group. The HAVING clause is used to filter out groups that have a count of 1 (i.e. only one row for that IP address).

The loop over the results array retrieves the IP address and count for each duplicate group, and then uses a DELETE statement to remove the extra rows for that IP address. The DELETE statement uses the ORDER BY clause to sort the rows by ID (assuming that the ID column is unique), and the LIMIT clause to limit the number of rows deleted to the count of duplicates minus one (i.e. leaving one row for each IP address).

Note that this code assumes that you have a unique id column in the e7u3qf_ip_data table that can be used to determine which rows to delete. If you don't have a unique ID column, you may need to use a different approach to determine which rows to delete (e.g. based on the order in which the rows were inserted).

The latitude and longitude data for the Google Map are being retrieved from the PHP $data variable, which presumably contains the data from the e7u3qf_ip_data table.

So, to read the latitude and longitude data for the Google Map, you would need to first retrieve the data from the e7u3qf_ip_data table using a SELECT statement in PHP (assuming you are using PHP as your server-side language). Here's an example:

<?php
// Establish a database connection
$pdo = new PDO('mysql:host=localhost;dbname=my_database', 'my_username', 'my_password');

// Select the latitude and longitude data from the table
$stmt = $pdo->prepare('SELECT latitude, longitude FROM e7u3qf_ip_data');
$stmt->execute();
$results = $stmt->fetchAll(PDO::FETCH_ASSOC);
?>

This code establishes a database connection using PDO, prepares a SELECT statement to retrieve the latitude and longitude data from the e7u3qf_ip_data table, executes the statement, and fetches the results as an associative array.

You can then use this data in the Google Maps JavaScript code to create markers on the map. Here's an example of how you could modify the code to use the retrieved data:

<script>
  function initMap() {
    var map = new google.maps.Map(document.getElementById('map'), {
      zoom: 4,
      center: {lat: 37.0902, lng: -95.7129}
    });

    // Step 4: Create markers on the map
    <?php foreach ($results as $row): ?>
      var marker = new google.maps.Marker({
        position: {lat: <?= $row['latitude'] ?>, lng: <?= $row['longitude'] ?>},
        map: map
      });
    <?php endforeach; ?>
  }
</script>

This code replaces the $data variable with the $results variable, which contains the latitude and longitude data retrieved from the e7u3qf_ip_data table. The foreach loop iterates over each row in the results array and creates a marker on the map using the lat and lng properties of each row.

You can use the following PHP code to search for a file named "filename.txt" in all directories using the shell_exec() function:

<?php
$command = "find / -name 'filename.txt' 2>&1";
$output = shell_exec($command);
echo "<pre>$output</pre>";
?>

This code uses the "find" command to search for the file named "filename.txt" in the root directory and all subdirectories. The "2>&1" at the end of the command redirects any error messages to the standard output, which allows them to be captured by the shell_exec() function.

The output of the command is captured in the $output variable and displayed using the <pre> tag, which formats the output as preformatted text.

Note that this code may take some time to execute, depending on the size of your file system and the number of files it contains. It may also require elevated permissions to search directories that your user account does not have access to.