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  1. docs/sts/tls.md

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    ```
    
    > Observe the `Subject: CN = consoleAdmin` field.
    
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  2. src/main/assemblies/extension/kibana/fess_log.ndjson

    bled\":true,\"type\":\"count\",\"schema\":\"metric\",\"params\":{\"customLabel\":\"Query Count\"}},{\"id\":\"2\",\"enabled\":true,\"type\":\"date_histogram\",\"schema\":\"segment\",\"params\":{\"field\":\"requestedAt\",\"timeRange\":{\"from\":\"now-2d\",\"to\":\"now\"},\"useNormalizedEsInterval\":true,\"interval\":\"s\",\"drop_partials\":false,\"min_doc_count\":1,\"extended_bounds\":{}}}]}"},"id":"87b6d8d0-b2b6-11e9-b23e-033a71496733","migrationVersion":{"visualization":"7.2.0"},"references":[{"...
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  3. LICENSE

        its purpose remains meaningful.
    
        (For example, a function in a library to compute square roots has
        a purpose that is entirely well-defined independent of the
        application.  Therefore, Subsection 2d requires that any
        application-supplied function or table used by this function must
        be optional: if the application does not supply it, the square
        root function must still compute square roots.)
    
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  4. RELEASE.md

        of other integer types) in `tf.constant`.
    *   Make the `gain` argument of convolutional orthogonal initializers
        (`convolutional_delta_orthogonal`, `convolutional_orthogonal_1D`,
        `convolutional_orthogonal_2D`, `convolutional_orthogonal_3D`) have
        consistent behavior with the `tf.initializers.orthogonal` initializer, i.e.
        scale the output l2-norm by `gain` and NOT by `sqrt(gain)`. (Note that these
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