* suggests MS doesn't compute the signature (correctly) for error responses
         * (perhaps for DOS reasons).
         */
        /*
         * Looks like the failure case also is just reflecting back the signature we sent
         */

        /**
         * Maybe this is related:
         *

  tensorflow::unwrap(ctx)->SetThreadLocalDevicePlacementPolicy(
      static_cast<tensorflow::ContextDevicePlacementPolicy>(policy));
}

// Note: this function looks up a thread local policy. So it should be called in
// the appropriate client thread. In particular, in async mode, it may not be
// safe to call this function from the async EagerExecutor threads.

        });
    }

    /**
     * Retrieves a parameter value from the data store parameters map.
     *
     * @param paramMap the parameter map to search
     * @param key the parameter key to look up
     * @param defaultValue the default value to return if key is not found
     * @return the parameter value as a string, or the default value if not found
     */

          /*
           * This occurs when some pattern has an empty match, even if it doesn't match the empty
           * string -- for example, if it requires lookahead or the like. The offset must be
           * increased to look for separators beyond this point, without changing the start position
           * of the next returned substring -- so nextStart stays the same.
           */
          offset++;
          if (offset > toSplit.length()) {

If it is not possible or desirable to put the notice in a particular
file, then You may include the notice in a location (such as a LICENSE
file in a relevant directory) where a recipient would be likely to look
for such a notice.

You may add additional accurate notices of copyright ownership.

Exhibit B - "Incompatible With Secondary Licenses" Notice
---------------------------------------------------------

{* ../../docs_src/query_params_str_validations/tutorial015_an_py310.py ln[16:19] hl[17] *}

#### Un ítem aleatorio { #a-random-item }

Con `data.items()` obtenemos un <dfn title="Algo que podemos iterar con un for loop, como una list, set, etc.">objeto iterable</dfn> con tuplas que contienen la clave y el valor para cada elemento del diccionario.

Convertimos este objeto iterable en una `list` propiamente dicha con `list(data.items())`.

			}

			// If metadata says encrypted, ask for it in quorum.
			if etyp, ok := crypto.IsEncrypted(meta.Metadata); ok {
				fmt.Fprint(h, etyp)
			}

			// If compressed, look for compressed FileInfo only
			if meta.IsCompressed() {
				fmt.Fprint(h, meta.Metadata[ReservedMetadataPrefix+"compression"])
			}

			metaHashes[i] = hex.EncodeToString(h.Sum(nil))
			h.Reset()
		}
	}

    }

    @Override
    public int hashCode() {
      return f.hashCode() ^ p.hashCode();
    }

    @Override
    public String toString() {
      // TODO(cpovirk): maybe make this look like the method call does ("Predicates.compose(...)")
      return p + "(" + f + ")";
    }

    @GwtIncompatible @J2ktIncompatible private static final long serialVersionUID = 0;
  }

  /**

  cat documents.ndjson | jq empty
  ```

#### Issue: GSA XML import creates no configurations

**Solution**:
- Verify XML structure matches GSA export format
- Check Fess logs: `logs/fess.log`
- Look for `GsaConfigException` errors
- Ensure collections have valid URL patterns

#### Issue: Imported documents not appearing in search

**Solution**:
1. Check if documents were indexed:

     *
     * @return the LLM type from configuration
     */
    protected abstract String getLlmType();

    /**
     * Gets the configuration prefix for this provider.
     * Used to look up per-prompt-type parameters from FessConfig.
     *
     * @return the config prefix (e.g. "rag.llm.openai")
     */
    protected abstract String getConfigPrefix();

    /**