- WordPress core y plugins - Tema Twenty Twenty-Four configurado - Plugin allow-unfiltered-html.php simplificado - .gitignore configurado para excluir wp-config.php y uploads 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
225 lines
6.0 KiB
PHP
Executable File
225 lines
6.0 KiB
PHP
Executable File
<?php
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/**
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* File: UsageStatistics_Source_DbQueriesLog.php
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*
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* @package W3TC
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*/
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namespace W3TC;
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/**
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* Class UsageStatistics_Source_DbQueriesLog
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*
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* Database queries debug log reader - provides data from this logfile
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*
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* phpcs:disable WordPress.PHP.NoSilencedErrors.Discouraged
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* phpcs:disable WordPress.WP.AlternativeFunctions
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*/
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class UsageStatistics_Source_DbQueriesLog {
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/**
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* The timestamp representing the start time for filtering log entries.
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*
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* @var int
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*/
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private $timestamp_start;
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/**
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* The column by which the log entries should be sorted.
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*
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* @var string
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*/
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private $sort_column;
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/**
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* The associative array holding query data by query string.
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*
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* @var array
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*/
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private $by_query = array();
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/**
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* Flag indicating whether more log entries are needed for parsing.
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*
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* @var bool
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*/
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private $more_log_needed = true;
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/**
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* Constructor for initializing the object with a start timestamp and sort column.
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*
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* @param int $timestamp_start The timestamp representing the start time for filtering log entries.
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* @param string $sort_column The column by which the log entries should be sorted.
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*
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* @return void
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*/
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public function __construct( $timestamp_start, $sort_column ) {
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$this->timestamp_start = $timestamp_start;
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$this->sort_column = $sort_column;
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}
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/**
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* Retrieves and processes log entries, sorting them based on the specified column, and returns the top 200 entries.
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*
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* This method reads the log file from the end, processes the data, and filters based on the timestamp.
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* The results are returned as an array containing various statistics such as query counts, average size, and time.
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*
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* @return array An array of sorted log entries containing statistics about queries such as total count, hit count,
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* average size, average time, total time, and reasons.
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*
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* @throws \Exception If the log file cannot be opened.
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*/
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public function list_entries() {
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$log_filename = Util_Debug::log_filename( 'dbcache-queries' );
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$h = @fopen( $log_filename, 'rb' );
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if ( ! $h ) {
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throw new \Exception(
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\esc_html(
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sprintf(
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// translators: 1 Log filename.
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\__( 'Failed to open log file %1$s.', 'w3-total-cache' ),
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$log_filename
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)
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)
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);
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}
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fseek( $h, 0, SEEK_END );
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$pos = ftell( $h );
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$unparsed_head = '';
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while ( $pos >= 0 && $this->more_log_needed ) {
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$pos -= 8192;
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if ( $pos <= 0 ) {
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$pos = 0;
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}
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fseek( $h, $pos );
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$s = fread( $h, 8192 );
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$unparsed_head = $this->parse_string( $s . $unparsed_head, $pos > 0 );
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if ( $pos <= 0 ) {
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$this->more_log_needed = false;
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}
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}
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$output = array();
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foreach ( $this->by_query as $query => $data ) {
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$output[] = array(
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'query' => $query,
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'count_total' => $data['count_total'],
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'count_hit' => $data['count_hit'],
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'avg_size' => (int) ( $data['sum_size'] / $data['count_total'] ),
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'avg_time_ms' => (int) ( $data['sum_time_ms'] / $data['count_total'] ),
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'sum_time_ms' => (int) $data['sum_time_ms'],
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'reasons' => $data['reasons'],
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);
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}
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usort(
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$output,
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function ( $a, $b ) {
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return (int) ( $b[ $this->sort_column ] ) - (int) ( $a[ $this->sort_column ] );
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}
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);
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$output = array_slice( $output, 0, 200 );
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return $output;
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}
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/**
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* Parses a string of log data, processing individual lines and pushing relevant information to be analyzed.
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*
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* This method processes a chunk of log data, handling the option to skip the first line and breaking the data into
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* individual lines for further analysis.
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*
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* @param string $s The log data string to be parsed.
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* @param bool $skip_first_line Whether to skip the first line of the string.
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*
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* @return string The unparsed head of the log data, if any.
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*/
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private function parse_string( $s, $skip_first_line ) {
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$s_length = strlen( $s );
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$unparsed_head = '';
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$n = 0;
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if ( $skip_first_line ) {
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for ( ; $n < $s_length; $n++ ) {
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$c = substr( $s, $n, 1 );
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if ( "\r" === $c || "\n" === $c ) {
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$unparsed_head = substr( $s, 0, $n + 1 );
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break;
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}
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}
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}
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$line_start = $n;
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for ( ; $n < $s_length; $n++ ) {
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$c = substr( $s, $n, 1 );
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if ( "\r" === $c || "\n" === $c ) {
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if ( $n > $line_start ) {
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$this->push_line( substr( $s, $line_start, $n - $line_start ) );
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}
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$line_start = $n + 1;
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}
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}
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return $unparsed_head;
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}
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/**
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* Processes a single line of log data, extracting relevant information and updating the query statistics.
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*
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* This method parses a line of log data, updating the query statistics for the given query (e.g., count, size, time, etc.).
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* It also checks if more log data is needed based on the timestamp and ensures that data for each query is stored appropriately.
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*
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* @param string $line The log line to be processed.
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*
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* @return void
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*/
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private function push_line( $line ) {
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$matches = str_getcsv( $line, "\t" );
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if ( ! $matches ) {
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return;
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}
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$date_string = $matches[0];
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$query = $matches[2];
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$time_taken_ms = isset( $matches[3] ) ? (float) $matches[3] / 1000 : 0;
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$reason = isset( $matches[4] ) ? $matches[4] : '';
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$hit = isset( $matches[5] ) ? $matches[5] : false;
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$size = isset( $matches[6] ) ? $matches[6] : 0;
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$time = strtotime( $date_string );
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// dont read more if we touched entries before timeperiod of collection.
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if ( $time < $this->timestamp_start ) {
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$this->more_log_needed = false;
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}
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if ( ! isset( $this->by_query[ $query ] ) ) {
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$this->by_query[ $query ] = array(
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'count_total' => 0,
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'count_hit' => 0,
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'sum_size' => 0,
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'sum_time_ms' => 0,
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'reasons' => array(),
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);
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}
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++$this->by_query[ $query ]['count_total'];
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if ( $hit ) {
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++$this->by_query[ $query ]['count_hit'];
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}
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$this->by_query[ $query ]['sum_size'] += $size;
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$this->by_query[ $query ]['sum_time_ms'] += $time_taken_ms;
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if ( ! in_array( $reason, $this->by_query[ $query ]['reasons'], true ) ) {
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$this->by_query[ $query ]['reasons'][] = $reason;
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}
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}
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}
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