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Results 21 - 24 of 24 for Alternatively (0.05 sec)

  1. src/main/java/jcifs/smb1/smb1/SmbFile.java

         * resolved. If the names cannot be resolved (e.g. due to temporary
         * network failure), the said methods will return default values (usually
         * {@code S-X-Y-Z} strings of fragments of).
         * <p>
         * Alternatively {@code getSecurity(true)} may be used to resolve all
         * SIDs together and detect network failures.
         */
        /**
         * Returns the security information for this file
         *
    Registered: Sat Dec 20 13:44:44 UTC 2025
    - Last Modified: Sat Aug 30 05:58:03 UTC 2025
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  2. CHANGELOG/CHANGELOG-1.22.md

    - Kubeadm: allow passing the flag `--log-file` if `--config` is passed. If you wish to log to a file you must also pass `--logtostderr=false` or `--alsologtostderr=true`. Alternatively you can pipe to a file using "kubeadm ... | tee ...". ([#101449](https://github.com/kubernetes/kubernetes/pull/101449), [@CaoDonghui123](https://github.com/CaoDonghui123))
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Tue Dec 13 12:43:45 UTC 2022
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  3. CHANGELOG/CHANGELOG-1.6.md

        * platforms would be satisfied by manually-created PersistentVolume objects.
        * Administrators can choose to disable this behavior by deleting the automatically
        * installed StorageClass API object. Alternatively, administrators may choose to
        * keep the automatically installed StorageClass and only disable the defaulting
        * behavior by removing the "is-default-class" annotation from the StorageClass
        * API object.
    Registered: Fri Dec 26 09:05:12 UTC 2025
    - Last Modified: Thu Dec 24 02:28:26 UTC 2020
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  4. RELEASE.md

            mean, var = tf.nn.moments(self.kernel, axes=[0, 1, 2], keepdims=True)
            return self.convolution_op(inputs, (self.kernel - mean) / tf.sqrt(var +
            1e-10))` Alternatively, you can override `convolution_op`: `python class
            StandardizedConv2D(tf.keras.Layer): def convolution_op(self, inputs,
            kernel): mean, var = tf.nn.moments(kernel, axes=[0, 1, 2],
    Registered: Tue Dec 30 12:39:10 UTC 2025
    - Last Modified: Tue Oct 28 22:27:41 UTC 2025
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