Package com.redhat.ceylon.tools.new_

Examples of com.redhat.ceylon.tools.new_.Variable

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        }

        public float[] readAllData() throws java.io.IOException {
          Array allData;
          Sweep spn = (Sweep)sweeps.get(0);
          Variable v = spn.getsweepVar();

          try {
            allData = v.read();
          } catch (IOException e) {
            throw new IOException(e.getMessage());
          }
          return (float []) allData.get1DJavaArray(Float.TYPE);
        }
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    TrajectoryObsDatasetImpl.Config trajConfig = new TrajectoryObsDatasetImpl.Config();
    trajConfig.setTrajectoryDim( d);

    // Check that have variable time(time) with units that are udunits time
    Variable var = ncd.getRootGroup().findVariable( dimVarName);
    if ( var == null) return null;
    list = var.getDimensions();
    if ( list.size() != 1) return null;
    d = (Dimension) list.get(0);
    if ( ! d.getName().equals( dimName)) return null;
    String units = var.findAttribute( "units").getStringValue();
    if ( ! SimpleUnit.isCompatible( units, "km")) return null;

    trajConfig.setDimensionVar( var);

    // Check for variable latitude(time) with units of "deg".
    var = ncd.getRootGroup().findVariable( latVarName);
    if ( var == null ) return null;
    list = var.getDimensions();
    if ( list.size() != 1) return null;
    d = (Dimension) list.get(0);
    if ( ! d.getName().equals( dimName)) return null;
    units = var.findAttribute( "units").getStringValue();
    if ( ! SimpleUnit.isCompatible( units, "deg")) return null;

    trajConfig.setLatVar( var);

    // Check for variable longitude(time) with units of "deg".
    var = ncd.getRootGroup().findVariable( lonVarName);
    if ( var == null ) return null;
    list = var.getDimensions();
    if ( list.size() != 1) return null;
    d = (Dimension) list.get(0);
    if ( ! d.getName().equals( dimName)) return null;
    units = var.findAttribute( "units").getStringValue();
    if ( ! SimpleUnit.isCompatible( units, "deg")) return null;

    trajConfig.setLonVar( var);

    // Check for variable altitude(time) with units of "m".
    var = ncd.getRootGroup().findVariable( elevVarName);
    if ( var == null) return null;
    list = var.getDimensions();
    if ( list.size() != 1) return null;
    d = (Dimension) list.get(0);
    if ( ! d.getName().equals( dimName)) return null;
    units = var.findAttribute( "units").getStringValue();
    if ( ! SimpleUnit.isCompatible( units, "km")) return null;

    trajConfig.setElevVar( var);

    trajConfig.setTrajectoryId( trajId);
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  public PointIteratorMultidim(String name, List<Variable> vars, int outerIndex, Filter filter) {
    this.vars = vars;
    this.outerIndex = outerIndex;
    this.filter = filter;

    Variable v = vars.get(0);
    npts = v.getDimension(1).getLength();

    members = new StructureMembers(name);
    for (Variable var : vars) {
      int[] shape = var.getShape();
      int[] newShape = new int[shape.length - 2];
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  public void openFile(Average avg) throws IOException, InvalidRangeException {
    long start = System.nanoTime();

    NetcdfFile ncfile = NetcdfDataset.openFile(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", null);
    Variable v = ncfile.findVariable("qc");
    assert null != v;
    assert v.getDataType() == DataType.BYTE;

    Array data = v.read();
    assert data.getElementType() == byte.class;
    double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
    long end = System.nanoTime();
    double took = (double)((end - start))/1000/1000/1000;
    double perelem = (double)((end - start)) / data.getSize();
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  public void openDataset(Set<NetcdfDataset.Enhance> enhance, Average avg) throws IOException, InvalidRangeException {
    long start = System.nanoTime();

    NetcdfDataset ncd = NetcdfDataset.openDataset(TestAll.cdmUnitTestDir +"ft/grid/netcdf/AZ.000000000.nc", enhance, -1, null, null);
    Variable v = ncd.findVariable("qc");
    assert null != v;

    Array data = v.read();
    double sum = MAMath.sumDoubleSkipMissingData(data, Double.NaN);
    long end = System.nanoTime();
    double took = (double)((end - start))/1000/1000/1000;
    double perelem = (double)((end - start)) / data.getSize();
    //System.out.println(sum+" "+enhance+" took="+took+" secs; size= "+data.getSize()+"; nanosecs/elem= "+perelem);
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    String filename = "file:./" + TestNcML.topDir + "TestValuesFromAttribute.xml";

    NetcdfFile ncfile = NcMLReader.readNcML(new StringReader(ncml), filename, null);
    System.out.println(" TestNcmlAggExisting.open " + filename + "\n" + ncfile);

    Variable newVar = ncfile.findVariable("titleAsVariable");
    assert null != newVar;

    assert newVar.getShortName().equals("titleAsVariable");
    assert newVar.getRank() == 0;
    assert newVar.getSize() == 1;
    assert newVar.getDataType() == DataType.STRING;

    Array data = newVar.read();
    assert data.getElementType() == String.class;

    Object val = data.getObject(0);
    assert val instanceof String;
    assert val.equals("COADS 1-degree Equatorial Enhanced");

    ////////////////
    newVar = ncfile.findVariable("titleAsVariable2");
    assert null != newVar;

    assert newVar.getShortName().equals("titleAsVariable2");
    assert newVar.getRank() == 0;
    assert newVar.getSize() == 1;
    assert newVar.getDataType() == DataType.STRING;

    data = newVar.read();
    assert data.getElementType() == String.class;

    val = data.getObject(0);
    assert val instanceof String;
    assert val.equals("COADS 1-degree Equatorial Enhanced");

    ///////////////
    newVar = ncfile.findVariable("VariableAttribute");
    assert null != newVar;

    assert newVar.getShortName().equals("VariableAttribute");
    assert newVar.getRank() == 1;
    assert newVar.getSize() == 2;
    assert newVar.getDataType() == DataType.DOUBLE;

    data = newVar.read();
    assert data.getRank() == 1;
    assert data.getSize() == 2;
    assert data.getElementType() == double.class;

    double[] result = new double[] { 715511.0, 729360.0};
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  }

  private String convName, convUsed;

  protected String findNameVariableWithStandardNameAndDimension(NetcdfDataset ds, String standard_name, Dimension outer, Formatter errlog) {
    Variable v = findVariableWithStandardNameAndDimension(ds, standard_name, outer, errlog);
    return (v == null) ? null : v.getShortName();
  }
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    }
    return null;
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        if ((outer == null) && (axis.getRank() == 0))
          return true;
        if ((outer != null) && (axis.getRank() == 1) && (outer.equals(axis.getDimension(0))))
          return true;
        return false;
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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    if (var == null) return null;
    return var.getShortName();
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer, final Dimension inner) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        return ((axis.getRank() == 2) && outer.equals(axis.getDimension(0)) && inner.equals(axis.getDimension(1)));
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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    if (var == null) return null;
    return var.getShortName();
  }

  protected String matchAxisTypeAndDimension(NetcdfDataset ds, AxisType type, final Dimension outer, final Dimension middle, final Dimension inner) {
    Variable var = CoordSysEvaluator.findCoordByType(ds, type, new CoordSysEvaluator.Predicate() {
      public boolean match(CoordinateAxis axis) {
        return ((axis.getRank() == 3) && outer.equals(axis.getDimension(0)) && middle.equals(axis.getDimension(1)) && inner.equals(axis.getDimension(2)));
      }
    });
    if (var == null) return null;
    return var.getShortName();
  }
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