Class: LazyMDArray

Inherits:
ByteMDArray show all
Defined in:
lib/mdarray/lazy_mdarray.rb

Defined Under Namespace

Classes: BinaryComp, UnaryComp

Instance Attribute Summary collapse

Attributes inherited from DoubleMDArray

#stat_list

Attributes inherited from MDArray

#binary_operator, #coerced, #float_output_precision, #float_output_suppress_small, #formatter, #id, #inf_str, #int_output_size, #local_index, #local_iterator, #max_line_width, #nan_str, #nc_array, #prefix, #separator, #summary_edge_items, #summary_threshold, #type, #unary_operator

Instance Method Summary collapse

Methods included from CernIntFunctions

register

Methods included from FunctionCreation

#make_binary_op, #make_unary_op

Methods included from CernFunctions

#cern_binary_function, #cern_comparison_function, #cern_unary_function, #make_binary_operator, #make_binary_operators, #make_comparison_operator, #make_unary_operator, #make_unary_operators

Methods included from CernLongFunctions

register

Methods included from RubyFunctions

#make_binary_operator, #make_binary_operators, #make_comparison_operator, #make_unary_operator, #make_unary_operators, #ruby_binary_function, #ruby_unary_function

Methods included from CernFloatFunctions

register

Methods inherited from DoubleMDArray

#reset_statistics

Methods included from CernDoubleFunctions

register

Methods inherited from NumericalMDArray

#coerce

Methods included from NumericFunctions

#fast_add, #zero?

Methods inherited from MDArray

#[]=, #apply_over_axes, arange, boolean, build, build_from_nc_array, byte, calc_value, char, #compatible, #copy, #csv1d, double, #dtype, #each, #each_cont, #each_slice, #each_with_counter, #flip, float, from_jstorage, fromfunction, function_map_to_csv, #get, #get_as, #get_binary_op, #get_counter, #get_current_index, #get_element_type, #get_index, #get_iterator_fast, #get_next, #get_rank, #get_scalar, #get_shape, #get_size, #get_unary_op, #immutable, init_with, int, #jget, lazy=, linspace, long, make_binary_op, make_unary_op, #ndenumerate, #ndim, #next, ones, #permute, #print0d, #print1d, print_function_map, #printing_defaults, #rank, #reduce, #region, register_function, #reset_traversal, #reshape, #reshape!, rstring, #section, #section?, #section_with_stride, select_function, #set, set_lazy, #set_next, #set_scalar, #shape, short, #size, #slice, string, structure, #to_csv, #to_s, #to_string, #transpose, typed_arange, upcast

Constructor Details

#initializeLazyMDArray





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# File 'lib/mdarray/lazy_mdarray.rb', line 82

def initialize

  @stack = Array.new
  @type = "lazy"
  @previous_binary_operator = nil
  @previous_unary_operator = nil

end

Instance Attribute Details

#stackObject (readonly)

Returns the value of attribute stack.



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# File 'lib/mdarray/lazy_mdarray.rb', line 32

def stack
  @stack
end

Instance Method Details

#apply(*args) ⇒ Object Also known as: []





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# File 'lib/mdarray/lazy_mdarray.rb', line 127

def apply(*args)

  type, shape, function = validate_fast(args)

  result = MDArray.build(type, shape)
  helper = Java::RbMdarrayLoopsLazy::DefaultLazyOperator
  helper.send("apply", result.nc_array, function)
  result

end

#popObject





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# File 'lib/mdarray/lazy_mdarray.rb', line 103

def pop
  @stack.pop
end




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# File 'lib/mdarray/lazy_mdarray.rb', line 172

def print
  Kernel.print "[Lazy MDArray]\n"
  p rpn
end

#push(elmt) ⇒ Object





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# File 'lib/mdarray/lazy_mdarray.rb', line 95

def push(elmt)
  @stack << elmt
end

#rpn(nl = true) ⇒ Object


Shows this LazyMDArray in Reverse Polish Notation. Mainly for debugging purposes.




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# File 'lib/mdarray/lazy_mdarray.rb', line 144

def rpn(nl = true)
 
  exp = String.new

  @stack.each do |elmt|

    if (elmt.is_a? LazyMDArray)
      exp << elmt.rpn(false)
    elsif (elmt.is_a? Numeric)
      exp << elmt << " "
    elsif (elmt.is_a? Operator)
      exp << elmt.name << " "
    elsif (elmt.is_a? MDArray)
      exp << elmt.type << " "
    else
      raise "Wrong element type in Array"
    end

  end

  exp

end

#test_janino_functionObject





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# File 'lib/mdarray/lazy_mdarray.rb', line 111

def test_janino_function
  $exp = ExpressionEvaluator.new
  $exp.setExpressionType(Java::CernColtFunctionTdouble::DoubleFunction.java_class)
  class_type = Java::JavaLang::Class.forName("java.lang.Class")
  array = Java::JavaLangReflect::Array.newInstance(class_type, 2)
  array[0] = Java::double.java_class
  array[1] = Java::double.java_class
  $exp.setParameters(["a", "b"].to_java(:string), 
                     array)
  $exp.cook("a + b")
end