AI-Otter 2 Feature Drop | 2025.2.2 Patch 1 <debuggerx@debuggerx-PC Update yiiguxing.translation.xml

yiiguxing.translation.xml

@@ -22,6 +22,7 @@
     <option name="translationDialogLocationY" value="567" />
     <option name="translationDialogWidth" value="1381" />
     <histories>
+      <item value="establish" />
       <item value="analog" />
       <item value="rocker" />
       <item value="The string without any leading and trailing whitespace. If the string contains leading or trailing whitespace, a new string with no leading and no trailing whitespace is returned: ```dart final trimmed = '\tDart is fun\n'.trim(); print(trimmed); 'Dart is fun' ``` Otherwise, the original string itself is returned: ```dart const string1 = 'Dart'; final string2 = string1.trim(); 'Dart' print(identical(string1, string2)); true ``` Whitespace is defined by the Unicode White_Space property (as defined in version 6.2 or later) and the BOM character, 0xFEFF. Here is the list of trimmed characters according to Unicode version 6.3: ```plaintext 0009..000D ; White_Space Cc &lt;control-0009&gt;..&lt;control-000D&gt; 0020 ; White_Space Zs SPACE 0085 ; White_Space Cc &lt;control-0085&gt; 00A0 ; White_Space Zs NO-BREAK SPACE 1680 ; White_Space Zs OGHAM SPACE MARK 2000..200A ; White_Space Zs EN QUAD..HAIR SPACE 2028 ; White_Space Zl LINE SEPARATOR 2029 ; White_Space Zp PARAGRAPH SEPARATOR 202F ; White_Space Zs NARROW NO-BREAK SPACE 205F ; White_Space Zs MEDIUM MATHEMATICAL SPACE 3000 ; White_Space Zs IDEOGRAPHIC SPACE FEFF ; BOM ZERO WIDTH NO_BREAK SPACE ``` Some later versions of Unicode do not include U+0085 as a whitespace character. Whether it is trimmed depends on the Unicode version used by the system." />
@@ -71,7 +72,6 @@
       <item value="Outputs for a single detected face. [boundingBox] is the face bounding box in pixel coordinates. [landmarks] provides convenient access to 6 key facial landmarks (eyes, nose, mouth). [mesh] contains 468 facial landmarks as pixel coordinates. [eyes] contains iris center, iris contour, and eye mesh landmarks for both eyes." />
       <item value="cannied" />
       <item value="Canny finds edges in an image using the Canny algorithm. The function finds edges in the input image image and marks them in the output map edges using the Canny algorithm. The smallest value between threshold1 and threshold2 is used for edge linking. The largest value is used to find initial segments of strong edges." />
-      <item value="[data] will be copied 2 times, use [Mat.fromVec] or [Mat.fromBuffer] if better performance" />
     </histories>
     <option name="languageScores">
       <map>