args = nil
	} else if len(args) != len(macro.args) {
		in.Error("wrong arg count for macro", macro.name)
	}
	argMap := make(map[string][]Token)
	for i, arg := range args {
		argMap[macro.args[i]] = arg
	}
	return argMap
}

// collectArgument returns the actual tokens for a single argument of a macro.
// It also returns the token that terminated the argument, which will always

            final Map<String, AccessResultImpl<Long>> arMap = dataHelper.getAccessResultMap(accessResult.getSessionId());
            if (arMap.containsKey(accessResult.getUrl())) {
                throw new CrawlerSystemException(
                        "AccessResult for URL '" + accessResult.getUrl() + "' already exists. Duplicate URLs are not allowed.");
            }
            arMap.put(accessResult.getUrl(), accessResult);
        }

        Map<String, AccessResultImpl<Long>> arMap = sessionMap.get(sessionId);
        if (arMap == null) {
            arMap = new HashMap<>();
            sessionMap.put(sessionId, arMap);
        }
        return arMap;
    }

    /**
     * Deletes the access result map for the specified session ID.
     * @param sessionId the session ID

        final Queue<UrlQueueImpl<Long>> urlQueueList = dataHelper.getUrlQueueList(sessionId);
        final Map<String, AccessResultImpl<Long>> arMap = dataHelper.getAccessResultMap(previousSessionId);
        for (final Map.Entry<String, AccessResultImpl<Long>> entry : arMap.entrySet()) {
            synchronized (urlQueueList) {
                final UrlQueueImpl<Long> urlQueue = new UrlQueueImpl<>();

        for more details about DTensor.

*   `tf.lite`:

    *   Added TFLite builtin op support for the following TF ops:
        *   `tf.math.argmin`/`tf.math.argmax` for input data type `tf.bool` on
            CPU.
        *   `tf.nn.gelu` op for output data type `tf.float32` and quantization
            on CPU.

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