Examples of minValue()

Examples of net.sourceforge.stripes.validation.ValidationMetadata.minvalue()

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                            .append(")");
                if (data.minlength() != null)
                    fieldInfo.append(",minlength:").append(data.minlength());
                if (data.maxlength() != null)
                    fieldInfo.append(",maxlength:").append(data.maxlength());
                if (data.minvalue() != null)
                    fieldInfo.append(",minvalue:").append(data.minvalue());
                if (data.maxvalue() != null)
                    fieldInfo.append(",maxvalue:").append(data.maxvalue());

                String label = data.label();
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Examples of net.sourceforge.stripes.validation.ValidationMetadata.minvalue()

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                if (data.minlength() != null)
                    fieldInfo.append(",minlength:").append(data.minlength());
                if (data.maxlength() != null)
                    fieldInfo.append(",maxlength:").append(data.maxlength());
                if (data.minvalue() != null)
                    fieldInfo.append(",minvalue:").append(data.minvalue());
                if (data.maxvalue() != null)
                    fieldInfo.append(",maxvalue:").append(data.maxvalue());

                String label = data.label();
                if (data.label() == null) {
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Examples of org.apache.cassandra.stress.generate.Distribution.minValue()

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                    Distribution visits = settings.insert.visits.get();
                    // these min/max are not absolutely accurate if selectchance < 1, but they're close enough to
                    // guarantee the vast majority of actions occur in these bounds
                    double minBatchSize = selectchance.get().min() * partitions.get().minValue() * generator.minRowCount * (1d / visits.maxValue());
                    double maxBatchSize = selectchance.get().max() * partitions.get().maxValue() * generator.maxRowCount * (1d / visits.minValue());
                    System.out.printf("Generating batches with [%d..%d] partitions and [%.0f..%.0f] rows (of [%.0f..%.0f] total rows in the partitions)%n",
                                      partitions.get().minValue(), partitions.get().maxValue(),
                                      minBatchSize, maxBatchSize,
                                      partitions.get().minValue() * generator.minRowCount,
                                      partitions.get().maxValue() * generator.maxRowCount);
 
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Examples of org.apache.mahout.math.DenseVector.minValue()

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  @Test
  public void testAddToVector() {
    FeatureVectorEncoder enc = new ContinuousValueEncoder("foo");
    Vector v1 = new DenseVector(20);
    enc.addToVector("-123", v1);
    assertEquals(-123, v1.minValue(), 0);
    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
    assertEquals(123, v1.maxValue(), 0);
    assertEquals(0, v1.minValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    Vector v2 = new DenseVector(20);
    enc.setProbes(2);
    enc.addToVector("123", v2);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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  @Test
  public void testAddToVector() {
    FeatureVectorEncoder enc = new ContinuousValueEncoder("foo");
    Vector v1 = new DenseVector(20);
    enc.addToVector("-123", v1);
    assertEquals(-123, v1.minValue(), 0);
    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
    assertEquals(123, v1.maxValue(), 0);
    assertEquals(0, v1.minValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    Vector v2 = new DenseVector(20);
    enc.setProbes(2);
    enc.addToVector("123", v2);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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  @Test
  public void testAddToVector() {
    FeatureVectorEncoder enc = new ConstantValueEncoder("foo");
    Vector v1 = new DenseVector(20);
    enc.addToVector((byte[]) null, -123, v1);
    assertEquals(-123, v1.minValue(), 0);
    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector((byte[]) null, 123, v1);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector((byte[]) null, 123, v1);
    assertEquals(123, v1.maxValue(), 0);
    assertEquals(0, v1.minValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    Vector v2 = new DenseVector(20);
    enc.setProbes(2);
    enc.addToVector((byte[]) null, 123, v2);
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Examples of org.apache.mahout.math.DenseVector.minValue()

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  @Test
  public void testAddToVector() {
    FeatureVectorEncoder enc = new ContinuousValueEncoder("foo");
    Vector v1 = new DenseVector(20);
    enc.addToVector("-123", v1);
    assertEquals(-123, v1.minValue(), 0);
    assertEquals(0, v1.maxValue(), 0);
    assertEquals(123, v1.norm(1), 0);

    v1 = new DenseVector(20);
    enc.addToVector("123", v1);
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