From 4a3410d182b4e1ef6961f84d8fa1595bbfde3f8e Mon Sep 17 00:00:00 2001
From: Dennis Eichhorn <spl1nes.com@googlemail.com>
Date: Mon, 26 Dec 2022 13:35:10 +0100
Subject: [PATCH] fix perm

---
 System/File/Ftp/Directory.php           | 9 ++-------
 tests/Ai/Ocr/Tesseract/thresholding.txt | 1 -
 2 files changed, 2 insertions(+), 8 deletions(-)

diff --git a/System/File/Ftp/Directory.php b/System/File/Ftp/Directory.php
index 3210ceced..9db5fdc87 100755
--- a/System/File/Ftp/Directory.php
+++ b/System/File/Ftp/Directory.php
@@ -418,18 +418,14 @@ class Directory extends FileAbstract implements DirectoryInterface
             return false;
         }
 
-        $tempName = \tempnam(\sys_get_temp_dir(), 'omsftp_');
-        if ($tempName === false) {
-            return false;
-        }
+        $tempName = \sys_get_temp_dir() . '/' . \uniqid('omsftp_');
+        $status   = @\mkdir($tempName);
 
-        $status = @\mkdir($tempName);
         if ($status === false) {
             return false;
         }
 
         $download = self::get($con, $from, $tempName . '/' . self::name($from));
-
         if (!$download) {
             if ($status !== false) {
                 LocalDirectory::delete($tempName);
@@ -439,7 +435,6 @@ class Directory extends FileAbstract implements DirectoryInterface
         }
 
         $upload = self::put($con, $tempName . '/' . self::name($from), $to);
-
         if (!$upload) {
             if ($status !== false) {
                 LocalDirectory::delete($tempName);
diff --git a/tests/Ai/Ocr/Tesseract/thresholding.txt b/tests/Ai/Ocr/Tesseract/thresholding.txt
index 8013a1f49..b280b646f 100755
--- a/tests/Ai/Ocr/Tesseract/thresholding.txt
+++ b/tests/Ai/Ocr/Tesseract/thresholding.txt
@@ -17,7 +17,6 @@ Convolution
 Linear filtering of an image is accomplished through an operation called convolution. Convolution is a neightornood
 
 Operation in which each output pixel is the weighted sum of neighboring input pixels. The matrix of weights is called the
-ion kernel that has been rotated 120 cegrees.
 
 For example, suppose the image is