Examples of Min

Examples of com.asakusafw.compiler.flow.processor.operator.GroupSortFlowFactory.Min

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    }

    @Override
    protected void describe() {
        GroupSortFlowFactory f = new GroupSortFlowFactory();
        Min op = f.min(in1);
        out1.add(op.r1);
    }
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Examples of com.mockturtlesolutions.snifflib.stats.Min

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      //Updat the fit line.

      DblMatrix[] XData = FUNC.getXdata();
      DblMatrix YData = FUNC.getYdata();

      Min m = new Min(this.outSet);
      m.addResponseVariable("pH");
      m.run();
      DataSet minpH = m.getResult();
      DblMatrix min = new DblMatrix((Double)minpH.getValueAt(0,1));

      Max mx = new Max(this.outSet);
      mx.addResponseVariable("pH");
      mx.run();
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Examples of javax.validation.constraints.Min

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            return units == null ? inferUnits() : units.units();
        }

        public Long min()
        {
            final Min min = mMethod.getAnnotation(Min.class);
            if (min != null)
            {
                return min.value();
            }
            final long[] minMax = minMaxFromDataType(attribute().dataType());
            return minMax == null ? null : minMax[0];
        }
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Examples of javax.validation.constraints.Min

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        } else if (annotation instanceof Max.List) {
            // Defines several @Max annotations on the same element
            throw new UnsupportedOperationException("Not implemented");
        } else if (annotation instanceof Min) {
            // The annotated element must be a number whose value must be higher or equal to the specified minimum.
            Min min = (Min) annotation;
            sb.append("number: true, \n");
            sb.append("min: ").append(min.value());
        } else if (annotation instanceof Min.List) {
            // Defines several @Min annotations on the same element
            throw new UnsupportedOperationException("Not implemented");
        } else if (annotation instanceof NotNull) {
            // The annotated element must not be null.
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Examples of javax.validation.constraints.Min

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            }
        }
       
        if (!editableValueHolder.isRequired()) {
            if (constraint.annotationType().equals(Min.class)) {
                Min min = (Min) constraint;
                if (min.value() > 0) {
                    editableValueHolder.setRequired(true);
                }
            }
            else if (constraint.annotationType().equals(Size.class)) {
                Size size = (Size) constraint;
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Examples of org.apache.commons.math.stat.descriptive.rank.Min

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  StandardDeviation sd;

  StorelessUnivariateStatistic[] stats;

  public Stat() {
    min = new Min();
    max = new Max();
    sum = new Sum();
    mean = new Mean();
    sd = new StandardDeviation();
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Examples of org.apache.commons.math.stat.descriptive.rank.Min

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        meanImpl    = new StorelessUnivariateStatistic[k];

        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }
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Examples of org.apache.commons.math.stat.descriptive.rank.Min

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     * Construct a SummaryStatistics
     */
    public SummaryStatisticsImpl() {
        sum = new Sum();
        sumsq = new SumOfSquares();
        min = new Min();
        max = new Max();
        sumLog = new SumOfLogs();
        geoMean = new GeometricMean();
        secondMoment = new SecondMoment();
    }
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Examples of org.apache.commons.math.stat.descriptive.rank.Min

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    /**
    * Returns the minimum of the available values
    * @return The min or Double.NaN if no values have been added.
    */
    public double getMin() {
        return apply(new Min());
    }
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Examples of org.apache.commons.math.stat.descriptive.rank.Min

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        meanImpl    = new StorelessUnivariateStatistic[k];

        for (int i = 0; i < k; ++i) {
            sumImpl[i]     = new Sum();
            sumSqImpl[i]   = new SumOfSquares();
            minImpl[i]     = new Min();
            maxImpl[i]     = new Max();
            sumLogImpl[i]  = new SumOfLogs();
            geoMeanImpl[i] = new GeometricMean();
            meanImpl[i]    = new Mean();
        }
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