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

		e.aggregate.runningCount++
		// Convert to float.
		f, ok := argVal.ToFloat()
		if !ok {
			return fmt.Errorf("Could not convert value %v (%s) to a number", argVal.value, argVal.GetTypeString())
		}
		argVal.setFloat(f)
		err = e.aggregate.runningSum.arithOp(opPlus, argVal)

	case aggFnMin:
		err = e.aggregate.runningMin.minmax(argVal, false, isFirstRow)

	case aggFnMax:

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

    public synchronized void deleteAccessResultMap(final String sessionId) {
        sessionMap.remove(sessionId);
    }

            final Map<String, AccessResultImpl<Long>> arMap = dataHelper.getAccessResultMap(accessResult.getSessionId());
            if (arMap.containsKey(accessResult.getUrl())) {
                throw new CrawlerSystemException(accessResult.getUrl() + " already exists.");
            }
            arMap.put(accessResult.getUrl(), accessResult);
        }

    }

    /*
     * (non-Javadoc)

        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<>();

	return fmt.Sprintf("%d:%d", major, minor), nil
}

func filterLocalDisks(node, args string) ([]localDisk, error) {
	var result []localDisk

	argP, err := ellipses.FindEllipsesPatterns(args)
	if err != nil {
		return nil, err
	}
	exp := argP.Expand()

	if node == "" {
		for index, e := range exp {
			result = append(result, localDisk{index: index, path: strings.Join(e, "")})
		}
	} else {

        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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cer?erots?gro?m&o&c?n??rif?t??o&c,fni??pohs,stra?t&n?opsgolb,?www?ysrab,?e&a!.&a&ac?cgd?idem??bulc!orea??ci&ffartria?taborea??e&c&alptekram?n&a&l&lievrus-ria?ubma??netniam?rusni??erefnoc???gnahcxe?mordorea?ni&gne?lria?zagam??rawtfos??gni&d&art?ilg!arap?gnah???l&dnahdnuorg?ledom??noollab?retac?sael?t&lusnoc?uhcarap??vidyks??hcraeser?ixat?l&anruoj?euf?icnuoc?ortnoc!-ciffart-ria???n&gised?oi&nu?t&a&cifitrec?ercer?gi&tsevni-tnedicca?van??i&cossa!-regnessap??valivic??redef??cudorp?neverp-tnedicca????...