Class: MDArray

Inherits:
Object
  • Object
show all
Defined in:
lib/JRubyR/as_mdarray.rb,
lib/JRubyR/index.rb

Overview

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.build(type, shape, storage = nil, layout = :row) ⇒ Object

Builds a new MDArray

Parameters:

  • type —

    the type of the new mdarray to build, could be boolean, byte, short, int, long, float, double, string, structure

  • shape (Array) —

    the shape of the mdarray as a ruby array

  • storage (Array) (defaults to: nil) —

    a ruby array with the initialization data



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# File 'lib/JRubyR/index.rb', line 53

def self.build(type, shape, storage = nil, layout = :row)

  if !@LAYOUT.include?(layout)
    raise "Unknown layout #{layout}"
  end

  if (shape.is_a? String)
    # building from csv
    # using shape as filename
    # using storage as flag for headers
    storage = (storage)? storage : false
    parameters = Csv.read_numeric(shape, storage)
    shape=[parameters[0], parameters[1]]
    storage = parameters[2]
  end

  if (storage)
    # nc_array = Java::UcarMa2.Array.factory(dtype, jshape, jstorage)
    nc_array = make_nc_array(type, shape, storage, layout)
  else
    nc_array = Java::UcarMa2.Array
      .factory(DataType.valueOf(type.upcase), shape.to_java(:int))
  end

  klass = Object.const_get("#{type.capitalize}MDArray")
  return klass.new(type, nc_array)

end

.comp_stride(shape) ⇒ Object

Computes the stride for the given shape and column-major layout



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# File 'lib/JRubyR/index.rb', line 106

def self.comp_stride(shape)

  stride = Array.new(shape.size)
  stride[-1], stride[-2] = shape[-2], 1
  product = shape[-1] * shape[-2]

  if (shape.size > 2)
    (shape.length - 3).downto(0).each do |i|
      stride[i] = product
      product *= shape[i]
    end
  end

  stride

end

.from_jstorage(type, shape, jstorage, section = false, layout = :row) ⇒ Object 



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# File 'lib/JRubyR/index.rb', line 147

def self.from_jstorage(type, shape, jstorage, section = false, layout = :row)

  if !@LAYOUT.include?(layout)
    raise "Unknown layout #{layout}"
  end

  if (shape.size == 1 && shape[0] == 0)
    return nil
  end

  dtype = DataType.valueOf(type.upcase)
  jshape = shape.to_java :int

  case layout
  when :row
    nc_array = Java::UcarMa2.Array.factory(dtype, jshape, jstorage)
    klass = Object.const_get("#{type.capitalize}MDArray")
    return klass.new(type, nc_array, section)
  else
    jclass = Java::UcarMa2::Array.java_class
    jstorage = storage.to_java(type)
    nc_array = Java::RbScicom::PrivateCall
      .factoryInvoke(jclass, type.capitalize, index_factory(shape), jstorage)
    MDArray.build_from_nc_array(type, nc_array)
  end

end

.index_factory(shape) ⇒ Object

Creates new index with the given shape and column-major layout



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# File 'lib/JRubyR/index.rb', line 86

def self.index_factory(shape)

  stride = comp_stride(shape)
  index = Java::UcarMa2.Index.factory(shape.to_java(:int))
  index.stride = stride.to_java(:int)
  index.precalc
  index

end

.make_nc_array(type, shape, storage, layout) ⇒ Object

Makes a NetCDF Array with the given storage and layout.



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# File 'lib/JRubyR/index.rb', line 127

def self.make_nc_array(type, shape, storage, layout)

  dtype = DataType.valueOf(type.upcase)
  jshape = shape.to_java :int
  jstorage = storage.to_java type.downcase.to_sym

  if (layout == :row || shape.size == 1)
    nc_array = Java::UcarMa2.Array.factory(dtype, jshape, jstorage)
  else
    jclass = Java::UcarMa2::Array.java_class
    nc_array = Java::RbScicom::PrivateCall
      .factoryInvoke(jclass, type.capitalize, index_factory(shape), jstorage)
  end

end

Instance Method Details

#pp ⇒ Object 



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# File 'lib/JRubyR/as_mdarray.rb', line 43

def pp
  print
end

#z ⇒ Object 



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# File 'lib/JRubyR/as_mdarray.rb', line 35

def z
  self[0]
end