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  1. docs/en/docs/async.md

    * **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  2. docs/es/docs/async.md

    * **Machine Learning**: normalmente requiere muchas multiplicaciones de "matrices" y "vectores". Piensa en una enorme hoja de cálculo con números y multiplicando todos juntos al mismo tiempo.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  3. docs/de/docs/async.md

    * **Maschinelles Lernen**: Normalerweise sind viele „Matrix“- und „Vektor“-Multiplikationen erforderlich. Stellen Sie sich eine riesige Tabelle mit Zahlen vor, in der Sie alle Zahlen gleichzeitig multiplizieren.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  4. fess-crawler-lasta/src/main/resources/crawler/extractor.xml

    				"application/fits",
    				"application/font-tdpfr",
    				"application/h224",
    				"application/http",
    				"application/hyperstudio",
    				"application/ibe-key-request+xml",
    				"application/ibe-pkg-reply+xml",
    				"application/ibe-pp-data",
    				"application/iges",
    				"application/illustrator",
    				"application/im-iscomposing+xml",
    				"application/index",
    				"application/index.cmd",
    Registered: Sun Sep 21 03:50:09 UTC 2025
    - Last Modified: Sat Aug 01 21:40:30 UTC 2020
    - 49K bytes
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  5. docs/en/docs/help-fastapi.md

    * In many cases, it's better to understand their **underlying problem or use case**, because there might be a better way to solve it than what they are trying to do.
    
    ### Ask to close { #ask-to-close }
    
    If they reply, there's a high chance you would have solved their problem, congrats, **you're a hero**! 🦸
    
    * Now, if that solved their problem, you can ask them to:
    
        * In GitHub Discussions: mark the comment as the **answer**.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 10:49:48 UTC 2025
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  6. okhttp/src/commonJvmAndroid/kotlin/okhttp3/internal/http2/Http2Stream.kt

          }
          if (errorCode != null) {
            throw errorException ?: StreamResetException(errorCode!!)
          }
          return null
        }
      }
    
      /**
       * Sends a reply to an incoming stream.
       *
       * @param outFinished true to eagerly finish the output stream to send data to the remote peer.
       *     Corresponds to `FLAG_FIN`.
    Registered: Fri Sep 05 11:42:10 UTC 2025
    - Last Modified: Mon Jul 07 18:57:05 UTC 2025
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  7. src/test/java/jcifs/smb/SmbResourceLocatorImplTest.java

            return new SmbResourceLocatorImpl(ctx, smbUrl(spec));
        }
    
        @Test
        @DisplayName("getName returns last path segment; falls back logically")
        void testGetNameVariants() {
            // file name from deep path
            SmbResourceLocatorImpl a = locator("smb://server/share/dir/file.txt");
            assertEquals("file.txt", a.getName());
    
            // share name with trailing slash when only share present
    Registered: Sun Sep 07 00:10:21 UTC 2025
    - Last Modified: Thu Aug 14 05:31:44 UTC 2025
    - 17.6K bytes
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  8. CHANGELOG/CHANGELOG-1.5.md

    * Federation can now be deployed using the `federation/deploy/deploy.sh` script. This script does not depend on any of the development environment shell library/scripts. This is an alternative to the current `federation-up.sh`/`federation-down.sh` scripts. Both the scripts are going to co-exist in this release, but the `federation-up.sh`/`federation-down.sh` scripts might be removed in a future release in favor of `federation/deploy/deploy.sh` script. ([#30744](https://github.com/kubernetes/kub...
    Registered: Fri Sep 05 09:05:11 UTC 2025
    - Last Modified: Thu Dec 24 02:28:26 UTC 2020
    - 136.4K bytes
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  9. docs/fr/docs/async.md

    * L'apprentissage profond (ou **Deep Learning**) : est un sous-domaine du **Machine Learning**, donc les mêmes raisons s'appliquent. Avec la différence qu'il n'y a pas une unique feuille de calcul de nombres à multiplier, mais une énorme quantité d'entre elles, et dans de nombreux cas,...
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  10. src/test/java/org/codelibs/fess/util/PrunedTagTest.java

                return null;
            }
    
            @Override
            public boolean hasChildNodes() {
                return false;
            }
    
            @Override
            public Node cloneNode(boolean deep) {
                return null;
            }
    
            @Override
            public void normalize() {
            }
    
            @Override
            public boolean isSupported(String feature, String version) {
    Registered: Thu Sep 04 12:52:25 UTC 2025
    - Last Modified: Sat Jul 12 07:34:10 UTC 2025
    - 21K bytes
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