Class: CodeRunner::Gs2

Inherits:
Run::FortranNamelist
  • Object
show all
Includes:
FixNormOption, GSLComplexTensors, GSLMatrices, GSLTensors, GSLVectorComplexes, GSLVectors, ReadNetcdf, GraphKits
Defined in:
lib/gs2crmod/gs2.rb,
lib/gs2crmod/ingen.rb,
lib/gs2crmod/graphs.rb,
lib/gs2crmod/test_gs2.rb,
lib/gs2crmod/properties.rb,
lib/gs2crmod/gsl_data_3d.rb,
lib/gs2crmod/read_netcdf.rb,
lib/gs2crmod/calculations.rb,
lib/gs2crmod/check_convergence.rb,
lib/gs2crmod/gsl_data.rb

Overview

This module reads data from the new diagnostics output file <run_name>.cdf.

It is intended to replace a lot of the function of gsl_data.rb which reads the old netcdf file. In particular, it defines a new generic reader function which can read any variable in the new netcdf file using a standard set of index constraints

Direct Known Subclasses

Astrogk

Defined Under Namespace

Modules: FixNormOption, GSLComplexTensors, GSLMatrices, GSLTensors, GSLVectorComplexes, GSLVectors, ReadNetcdf, TestGs2 Classes: Astrogk, GraphKits, InputFileError, ListSubmitter, NetcdfSmartReader, OldNetcdfSmartReader, Phi, Spectrogk

Constant Summary collapse

GS2_CRMOD_VERSION =

GS2_CRMOD_VERSION = Version.new(Gem.loaded_specs.version.to_s)

Version.new('0.5.0')
CODE_SCRIPT_FOLDER = 
MODULE_FOLDER = File.dirname(File.expand_path(__FILE__))
NaN = 
GSL::NAN
SPECIES_DEPENDENT_NAMELISTS = 
eval(File.read(folder + '/species_dependent_namelists.rb'), binding, folder + '/species_dependent_namelists.rb')
SPECIES_DEPENDENT_VARIABLES_WITH_HELP = 
SPECIES_DEPENDENT_NAMELISTS.values.inject({}) do |hash, namelist_hash|
  namelist_hash[:variables].each do |var, var_hash|
      hash[var] = var_hash[:help]
  end
  hash
end
SPECIES_DEPENDENT_VARIABLES = 
SPECIES_DEPENDENT_VARIABLES_WITH_HELP.keys
MAX_NAME_SIZE = 
310
AxisKit =

one day someone should get rid of this!

GraphKit::AxisKit
DataKit = 
GraphKit::DataKit
GRAPHKIT_OPTIONS_HELP = 
{
	t_index_window: "[begin, end], window of time indices to plot (e.g. t_index_window: [0,10])",
	t_index: "integer, index of time at which to plot (e.g. t_index: 20)",
	t: "float, value of time at which to plot (e.g. t: 2.45)",
	ky_index: "integer, index of ky at which to plot (e.g. ky_index: 20)",
	ky: "float, value of ky at which to plot (e.g. ky: 0.1)",
	kx_index: "integer, index of kx at which to plot (e.g. kx_index: 20)",
	kx: "float, value of kx at which to plot (e.g. kx: 0.1)",
	with: "Gnuplot Option (may not apply when using other packages), e.g. with: 'lp' or with 'pm3d palette'",
	rgbformulae: "Gnuplot Option (may not apply when using other packages), sets colour mapping. See gnuplot help set rgbformulae",
	limit: "Limit the range of quantity begin plotted - any values of the quantity outside the limits will be set to the limit: eg. limit: [0,80]",
	flip: 'Flip the y axis,  e.g. flip: true',
	rev: 'Reverse the x axis, e.g. rev: true',
	z: 'Plot quantities vs z = theta/shat rather than theta. See Beer, Cowley Hammet 1996, eg. z: true',
	norm: 'Normalise the graph so that its maximum is 1, e.g. norm: true',
	mag: 'Plot the magnitude, e.g. mag: true',
	species_index: "Which GS2 species to plot the graph for (1-based).",
  strongest_non_zonal_mode: "Plot the graph requested for the mode with the highest value of phi^2. Overrides ky, kx, ky_index, kx_index. Can be set true or false; e.g. strongest_non_zonal_mode: true",
	no_zonal: "Don't plot the ky=0 part (boolean, e.g. no_zonal: true)",
	no_kpar0: "Don't plot the kpar=0 part (boolean, e.g. no_kpar0: true)",
	log: "Plot the log of a given quantity (exact meaning varies). boolean",
	Rmaj: "The major radius in metres. This has no effect on the shape of the graph: it merely multiplies every length",
 n0: " The toroidal mode number of the longest y mode. In effect it is the number of periodic copies of the flux tube that will fit in the torus. Periodicity requires that n0 q  is also an integer. If you specify :n0 where this is not the case, q will automatically be adjusted until it is",
 rho_star: " The ratio of the reference Lamour radius to the GS2 normalising length a. Cannot be specified at the same time as n0. If specified, both n0 and q will be adjusted to ensure periodicity",
 t_index: "The (1-based) time index",
 nakx: "The number of radial wave numbers to include in the plot. In effect, it is a low pass filter which reduces the resolution in the radial direction without changing the shape of the final surface. Minimum value is 4",
 naky: "The number of kys to include in the plot. In effect, it is a low pass filter which reduces the resolution in the y direction without changing the shape of the final surface. Minimum value is 4",
 gs2_coordinate_factor: "When set to 1, plot the graph in GS2 coordinates. When set to  0 plot the graph in real space. Can be set at any value between 0 and 1: the graph will smoothly distort between the two limits",
 xmax: "The (0-based) index of the maximum value of x to include in the plot",
 xmin: "The (0-based) index of the minimum value of x to include in the plot",
 ymax: "The (0-based) index of the maximum value of y to include in the plot",
 ymin: "The (0-based) index of the minimum value of y to include in the plot",
 thetamax: "The (0-based) index of the maximum value of theta to include in the plot",
 thetamin: "The (0-based) index of the minimum value of theta to include in the plot",
 ncopies: " The number of periodic copies of the flux tube to include",
 torphi_values: "An array of two values of the toroidal angle. The graph will be plotted in between those two values with poloidal cross sections at either end",
 magnify: " The magnification factor of the small section. It can take any value greater than or equal to 1",

}

Constants included from GSLTensors

GSLTensors::FIELD_VALUES, GSLTensors::IRRELEVANT_INDICES, GSLTensors::TIME_VARYING_INDICES, GSLTensors::TRIVIAL_INDICES

Instance Attribute Summary collapse

Class Method Summary collapse

Instance Method Summary collapse

Methods included from GSLMatrices

#es_heat_flux_over_ky_over_kx_gsl_matrix, #growth_rate_over_ky_over_kx_gsl_matrix, #phi0_over_x_over_y_gsl_matrix, #spectrum_over_ky_over_kpar_gsl_matrix, #spectrum_over_ky_over_kx_gsl_matrix, #transient_amplification_over_ky_over_kx_gsl_matrix

Methods included from GSLVectorComplexes

#phi_along_field_line_gsl_vector_complex

Methods included from GSLVectors

#apar2_over_time_gsl_vector, #dt_gsl_vector, #es_heat_by_kx_over_time_gsl_vector, #es_heat_by_ky_over_time_gsl_vector, #es_heat_flux_over_time_gsl_vector, #es_heat_over_kx_gsl_vector, #es_heat_over_kxy_gsl_vector, #es_heat_over_ky_gsl_vector, #es_heat_par_over_time_gsl_vector, #es_heat_perp_over_time_gsl_vector, #es_mom_flux_over_time_gsl_vector, #frequency_by_kx_over_time_gsl_vector, #frequency_by_kxy_over_time_gsl_vector, #frequency_by_ky_over_time_gsl_vector, #frequency_over_ky_gsl_vector, #growth_rate_by_kx_over_time_gsl_vector, #growth_rate_by_kxy_over_time_gsl_vector, #growth_rate_by_ky_over_time_gsl_vector, #growth_rate_over_kx_gsl_vector, #growth_rate_over_kx_slice_gsl_vector, #growth_rate_over_ky_gsl_vector, #growth_rate_over_ky_slice_gsl_vector, #hflux_tot_over_time_gsl_vector, #kpar_gsl_vector, #linked_kx_elements_gsl_vector, #lpc_energy_gsl_vector, #lpc_pitch_angle_gsl_vector, #par_mom_flux_over_time_gsl_vector, #perp_mom_flux_over_time_gsl_vector, #phi0_by_kx_by_ky_over_time_gsl_vector, #phi2_by_kx_over_time_gsl_vector, #phi2_by_ky_over_time_gsl_vector, #phi2_by_mode_over_time_gsl_vector, #phi2tot_over_time_gsl_vector, #phi_along_field_line_gsl_vector, #phi_for_eab_movie_gsl_vector, #scan_parameter_value_gsl_vector, #spectrum_over_kpar_gsl_vector, #spectrum_over_kx_gsl_vector, #spectrum_over_kxy_gsl_vector, #spectrum_over_ky_gsl_vector, #theta_along_field_line_gsl_vector, #tpar2_by_mode_over_time_gsl_vector, #tperp2_by_mode_over_time_gsl_vector, #transient_amplification_over_kx_gsl_vector, #transient_amplification_over_ky_gsl_vector, #transient_es_heat_flux_amplification_over_kx_gsl_vector, #transient_es_heat_flux_amplification_over_kxy_gsl_vector, #transient_es_heat_flux_amplification_over_ky_gsl_vector, #vres_energy_gsl_vector, #vres_pitch_angle_gsl_vector, #x_gsl_vector, #y_gsl_vector, #zonal_spectrum_gsl_vector

Methods included from FixNormOption

#fix_heat_flux_norm, #fix_norm, #fix_norm_action

Methods included from ReadNetcdf

#new_ncclose, #new_netcdf_file, #new_netcdf_filename

Methods included from GSLComplexTensors

#field_gsl_tensor_complex, #phi_gsl_tensor_complex

Methods included from GSLTensors

#apar_gsl_tensor, #bpar_gsl_tensor, #cartesian_coordinates_gsl_tensor, #constant_torphi_surface_gsl_tensor, #correct_3d_options, #cylindrical_coordinates_gsl_tensor, #field_gsl_tensor, #field_netcdf_name, #field_real_space_gsl_tensor, #field_real_space_gsl_tensor_2, #field_species_element, #geometric_factors_gsl_tensor, #moment_gsl_tensor, #phi_real_space_gsl_tensor

Instance Attribute Details

#eigenfunctions ⇒ Object

Returns the value of attribute eigenfunctions.



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# File 'lib/gs2crmod/gs2.rb', line 409

def eigenfunctions
  @eigenfunctions
end

#iphi00 ⇒ Object

Necessary for back. comp. due to an old bug



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# File 'lib/gs2crmod/gs2.rb', line 1055

def iphi00
  @iphi00
end

#ky_graphs ⇒ Object

Returns the value of attribute ky_graphs.



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# File 'lib/gs2crmod/gs2.rb', line 409

def ky_graphs
  @ky_graphs
end

#ky_list ⇒ Object

Returns the value of attribute ky_list.



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# File 'lib/gs2crmod/gs2.rb', line 409

def ky_list
  @ky_list
end

#saturation_time ⇒ Object

Necessary for back. comp. due to an old bug



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# File 'lib/gs2crmod/gs2.rb', line 1055

def saturation_time
  @saturation_time
end

#scan_index_window ⇒ Object

Returns the value of attribute scan_index_window.



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# File 'lib/gs2crmod/gs2.rb', line 410

def scan_index_window
  @scan_index_window
end

#scan_parameter_value ⇒ Object

Returns the value of attribute scan_parameter_value.



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# File 'lib/gs2crmod/gs2.rb', line 410

def scan_parameter_value
  @scan_parameter_value
end

#t_list ⇒ Object

Returns the value of attribute t_list.



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# File 'lib/gs2crmod/gs2.rb', line 409

def t_list
  @t_list
end

#theta_list ⇒ Object

Returns the value of attribute theta_list.



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# File 'lib/gs2crmod/gs2.rb', line 409

def theta_list
  @theta_list
end

Class Method Details

.add_variable_to_namelist(namelist, var, value) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 913

def self.add_variable_to_namelist(namelist, var, value)
  var = :stir_ + var if namelist == :stir
  super(namelist, var, value)
end

.cache ⇒ Object 



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# File 'lib/gs2crmod/graphs.rb', line 100

def self.cache
	@cache ||= {}
	@cache
end

.check_and_update ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 414

def check_and_update
  old_check_and_update
  @readout_list = (@variables + @results - [:growth_rates_by_ky, :growth_rates, :real_frequencies, :real_frequencies_by_ky, :ky_list, :kx_list, :theta_list, :t_list])
end

.defaults_file_header ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 943

def self.defaults_file_header
  <<EOF1
######################################################################
#   Automatically generated defaults file for GS2 CodeRunner module  #
#                                                                    #
# This defaults file specifies a set of defaults for GS2 which are   #
# used by CodeRunner to set up and run GS2 simulations.              #
#                                                                    #
# Created #{Time.now.to_s}                                           #
#                                                                    #
######################################################################

@defaults_file_description = ""
EOF1
end

.generate_graphs_rdoc_file ⇒ Object 



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# File 'lib/gs2crmod/graphs.rb', line 105

def self.generate_graphs_rdoc_file
	File.open('graphs_rdoc.rb', 'w') do |file|
	graphs = self.instance_methods.find_all{|m| m.to_s =~ /_graphkit$/}.sort_by{|m| m.to_s}
	run = new(nil)
	file.puts "class #{self.to_s}::GraphKits\n"
	graphs.each do |graph|
		help = run.send(graph, command: :help)
		options = run.send(graph, command: :options)
		file.puts "# #{help}"
		if options and options.size > 0
			file.puts "# Options:"
			options.each do |op|
				file.puts "#\n# #{op}: #{GRAPHKIT_OPTIONS_HELP[op]}"
			end
		end
		file.puts "def #{graph}\nend"
	end
	file.puts "end"
	end
end

.help_graphs ⇒ Object 



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# File 'lib/gs2crmod/graphs.rb', line 125

def self.help_graphs
# 	@@runner ||= CodeRunner.fetch_runner(U: true, 
	string = ""
	graphs = self.instance_methods.find_all{|m| m.to_s =~ /_graphkit$/}.sort_by{|m| m.to_s}
	run = new(nil)
	string << "-------------------------------------------\n    Available Graphs For #{self.to_s}\n-------------------------------------------\n\n"
	graphs.each do |graph|
		help = run.send(graph, command: :help)
		options = run.send(graph, command: :options)
		string << "\n------------------------------------\n#{graph.to_s.sub(/_graphkit/, '')}\n------------------------------------\n\n#{help}\n"
		if options and options.size > 0
			string << "\n\tOptions:\n"
			options.each do |op|
				string << "\t\t#{op}: #{GRAPHKIT_OPTIONS_HELP[op]}\n"
			end
		end
		
	end
	string.paginate
end

.list_code_commands ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 909

def self.list_code_commands
  puts (methods - Run.methods).sort
end

.modify_job_script(runner, runs_in, script) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 722

def self.modify_job_script(runner, runs_in, script)
  if CODE_OPTIONS[:gs2] and CODE_OPTIONS[:gs2][:list]
    if (list_size = CODE_OPTIONS[:gs2][:list]).kind_of? Integer
      raise "The total number of runs must be a multiple of the list size!" unless runs_in.size % list_size == 0
      pieces = runs_in.pieces(runs_in.size/list_size)
    else
      pieces = [runs_in]
    end
    script = ""
    pieces.each do |runs|
      #ep 'there is a list'
      FileUtils.makedirs('job_lists')
      jid = "#{runs[0].id}-#{runs[-1].id}"
      list_file = "job_lists/gs2_list_#{jid}.list"
      File.open(list_file,'w') do |file|
        file.puts runs.size
        file.puts runs.map{|r| "#{r.relative_directory}/#{r.run_name}"}.join("\n")
      end
      raise "runs must all have the same nprocs" unless runs.map{|r| r.nprocs}.uniq.size == 1
      runs.each do |r|
        # Make sure the restart file name includes the relative directory for
        # list runs
        reldir = r.relative_directory
        rdir = r.restart_dir
        #puts rdir[0...reldir.size] == reldir, rdir[0...reldir.size], reldir
        #raise ""
        if rdir
          r.restart_dir = reldir + '/' + rdir if not rdir[0...reldir.size] == reldir
        else
          r.restart_dir = reldir
        end
        Dir.chdir(r.directory){r.write_input_file}
      end
      np = runs[0].nprocs.split('x').map{|n| n.to_i}
      np[0] *= runs.size
      nprocs = np.map{|n| n.to_s}.join('x')
      @runner.nprocs = nprocs
      ls = ListSubmitter.new(@runner, nprocs, list_file, jid)
      script << ls.run_command
    end
  end
  return script
end

.test_gs2(*args) ⇒ Object

See TestGs2



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# File 'lib/gs2crmod/test_gs2.rb', line 6

def self.test_gs2(*args)
	TestGs2.test_gs2(*args)
end

Instance Method Details

#actual_number_of_processors ⇒ Object Also known as: anop 



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# File 'lib/gs2crmod/gs2.rb', line 867

def actual_number_of_processors
  raise "Please specify the processor layout using the -n or (n:) option" unless @nprocs
  @nprocs.split('x').map{|n| n.to_i}.inject(1){|ntot, n| ntot*n}
end

#agk? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/gs2crmod/gs2.rb', line 59

def agk?
  false
end

#approximate_grid_size ⇒ Object Also known as: agridsze 



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# File 'lib/gs2crmod/gs2.rb', line 874

def approximate_grid_size
  case @grid_option
  when "box"
  (2*(@nx-1)/3+1).to_i * (@naky||(@ny-1)/3+1).to_i * @ntheta * (2 * @ngauss + @ntheta/2).to_i * @negrid * 2 * @nspec
  else
    @ntheta * (2 * @ngauss + @ntheta/2).to_i * @negrid * 2 * @nspec
  end
end

#auto_axiskits(name, options) ⇒ Object 



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# File 'lib/gs2crmod/graphs.rb', line 11

def auto_axiskits(name, options)
	hash = cache[:auto_axiskits] ||= {'t' => ['Time', ''],
                'phi2tot_over_time' => ['Phi^2 Total', ''],
                'apar2_over_time' => ['Apar^2 Total', ''],
                'growth_rate_by_ky_over_time' => ['Growth Rate by ky', ''],
                 'growth_rate_by_kx_over_time' => ['Growth Rate by kx', ''],  
		 'growth_rate_by_mode_over_time' => ["Growth Rate by mode", ''],
# <MJL additions 2013-09-19>
                 'frequency_by_ky_over_time' => ['Real frequency by ky', ''],
                  'frequency_by_kx_over_time' => ['Real frequency by kx', ''],
# </MJL>
                'phi2_by_ky_over_time' => ['Phi^2 by ky', ''],
                 'phi2_by_kx_over_time' => ['Phi^2 by ky', ''],  
                'es_heat_by_ky_over_time' => ['Phi^2 by ky', ''],
                 'es_heat_by_kx_over_time' => ['Phi^2 by kx', ''],  
		 'phi2_by_mode_over_time' => ["Phi^2 by mode", ''],
	 'tpar2_by_mode_over_time' => ["(delta T_parallel)^2 by mode", '%'],
 		'tperp2_by_mode_over_time' => ["(delta T_perp)^2 by mode", '%'],
                              'hflux_tot' => ['Total Heat Flux', ''],
                                'es_heat_par' => ['Parallel electrostatic heat flux', ''],
                                'es_heat_perp' => ['Perpendicular electrostatic heat flux', ''],
                'ky' => ['ky', "1/rho_#{species_letter}"],
                'kx' => ['kx', "1/rho_#{species_letter}"],
	        'kpar' => ['kpar', "2 pi/qR"],
	        'growth_rate_over_kx' => ['Growth Rate', "v_th#{species_letter}/a", 1],
	        'growth_rate_over_ky' => ['Growth Rate', "v_th#{species_letter}/a", 1],
	        'growth_rate_over_kx_slice' => ['Growth Rate', "v_th#{species_letter}/a", 1],
	        'growth_rate_over_ky_slice' => ['Growth Rate', "v_th#{species_letter}/a", 1],
	        'growth_rate_over_ky_over_kx' => ["Growth Rate", "v_th#{species_letter}/a", 2],
          'frequency_over_ky' => ['Frequency', "v_th#{species_letter}/a", 1],
	        'transient_es_heat_flux_amplification_over_kx' => ['Transient Electrostatic Heat Amplification', "", 1],
	        'transient_es_heat_flux_amplification_over_ky' => ['Transient Electrostatic Heat Amplification', "", 1],
	        'transient_amplification_over_kx' => ['Transient Amplification', "", 1],
	        'transient_amplification_over_ky' => ['Transient Amplification', "", 1],
	        'spectrum_over_kx' => ["Spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 1],
	        'zonal_spectrum' => ["Zonal spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 1],
	        'spectrum_over_ky' => ["Spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 1],
	        'es_heat_over_kx' => ["Heat Flux at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", 'Q_gB', 1],
	        'es_heat_over_ky' => ["Heat Flux at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", 'Q_gB', 1],
	       	'es_heat_flux_over_ky_over_kx' => ["Heat flux at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 2],
	       	'spectrum_over_kpar' => ["Spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 1],
	       	'spectrum_over_ky_over_kx' => ["Spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 2],
	       	'spectrum_over_ky_over_kpar' => ["Spectrum at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 2],
	        #'phi0_over_x_over_y' => ["Phi at t = #{sprintf("%.3f" ,(options[:t] or list(:t)[options[:t_index]] or list(:t).values.max))}", '', 2],
	        'phi0_over_x_over_y' => ["Phi at theta = 0", '', 2],
	        'es_mom_flux_over_time' => ["#{species_type((options[:species_index] or 1)).capitalize} Momentum Flux", '', 1]

                  
                   }
	return hash[name]
end

#axiskit(name, options = {}) ⇒ Object

Raises:

  • (CRError) 


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# File 'lib/gs2crmod/graphs.rb', line 63

def axiskit(name, options={})
	logf :axiskit
	if info = auto_axiskits(name, options)
		if info[2] and info[2] == 2
			axis =  GraphKit::AxisKit.autocreate({data: gsl_matrix(name, options), title: info[0], units: info[1]})
		elsif !info[2] or info[2] == 1
			axis =  GraphKit::AxisKit.autocreate({data: gsl_vector(name, options), title: info[0], units: info[1]})
			log 'successfully created axis'
		end
		return axis
	end
	case name
	when 'phi_along_field_line'
		title = options[:imrc].to_s.capitalize + " Phi"
		units = ""
		return GraphKit::AxisKit.autocreate(data: gsl_vector(name, options), title: title, units: units)
	when 'theta_along_field_line'
		title =  options[:z] ? "z/l_B" : 'Theta' 
		units = options[:z] ? '' : 'radians'
		return GraphKit::AxisKit.autocreate(data: gsl_vector(name, options), title: title, units: units)
	when 'es_heat_flux'
		type = species_type(options[:species_index]).capitalize
		units = ''
		return GraphKit::AxisKit.autocreate(data: gsl_vector('es_heat_flux_over_time', options), title: "#{type} Heat Flux", units: units)
# 	when 'spectrum_by_ky'
# 		return AxisKit.autocreate(data: gsl_vector('spectrum_by_ky', options), title: "Phi^2 at t = #{list(:t)[options[:t_index]]}", units: '')
	when 'es_heat_par'
    puts "heat par" 
		type = species_type(options[:species_index]).capitalize
		units = ''
		return GraphKit::AxisKit.autocreate(data: gsl_vector('es_heat_par_over_time', options), title: "#{type} parallel es heat flux", units: units)
# 	when 'spectrum_by_ky'
# 		return AxisKit.autocreate(data: gsl_vector('spectrum_by_ky', options), title: "Phi^2 at t = #{list(:t)[options[:t_index]]}", units: '')
	end
	raise CRError.new("Unknown axis kit: #{name}")
end

#bes_output(options = {}) ⇒ Object

This function will interpolate and output either phi or density at the outboard midplane on a 40x40 grid appropriate to analyse as experimental data. It called as a run_command e.g. rc ‘bes_output(options)’, j:<run number>. It will call field_real_space_poloidal_plane_graphkit for every time step, interpolate at outboard midplane, and write fields and grids out to NetCDF file.

Options: Same as field_real_space_poloidal_plane, field name must also be specified for generality. New options:

no_flux_tube_copies: ensures only one flux tube is printed out with zeroes everywhere else. amin: Minor radius (to which R,Z are normalized) so that grid is in right units output_box_size: Array of sizes of output box (in units of amin) either side of middle of fluxtube at outboard midplane in R direction and either side of outboard midplane in Z direction. output_box_points: Array of number of points in output box (R,Z). Default will be 50x50.

The interpolation routine used will only interpolate correctly inside the fluxtube and produce garbage outside. Regular points are checked for being inside or outside the fluxtube and values of the field outside the fluxtube are set to zero.



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# File 'lib/gs2crmod/gs2.rb', line 1281

def bes_output(options={})
  #******************
  # Read in options *
  #******************
  #In order to interpolate on constant grids, ensure constant_torphi is set to some value (default 0.0)
  if options[:constant_torphi] == nil
    p 'constant_torphi not set! Setting it to 0.0.'
    options[:constant_torphi] = 0.0
  end
  #Check whether t_index_window is specified, if not, set to entire t range
  if options[:t_index_window] == nil
    t_index_beg = 1
    t_index_end = gsl_vector(:t).length
  else
    t_index_beg = options[:t_index_window][0]
    t_index_end = options[:t_index_window][1]
  end
  if options[:amin]
    amin = options[:amin]
  end
  if options[:v_ref] # velocity of reference species
    v_ref = options[:v_ref]
  end
  if options[:omega] # angular velocity of plasma
    omega = options[:omega]
  end
  if options[:omega] and (options[:v_ref] == nil or options[:amin] == nil)
    raise 'Need to specify amin AND v_ref options when specifying omega to move to LAB frame!'
  end
  if options[:output_box_size] and options[:output_box_size].kind_of?Array
    _r_box_size = options[:output_box_size][0] # EGH These variables are marked as unused... are they used anywhere?
    _z_box_size = options[:output_box_size][1]
  #else
  #  raise 'Option output_box_size must be specified (in units of amin) and must be an Array.'
  end
  if options[:output_box_points] and options[:output_box_points].kind_of?Array
    r_box_pts = options[:output_box_points][0]
    z_box_pts = options[:output_box_points][1]
  else
    r_box_pts = 50
    z_box_pts = 50
  end

  #Call at first time step to set up arrays and grids
  options[:t_index] = t_index_beg
  kit = field_real_space_poloidal_plane_graphkit(options)
  x = kit.data[0].x.data
  _y = kit.data[0].y.data
  z = kit.data[0].z.data

  #Set up NetCDf file
  file = NumRu::NetCDF.create(@run_name + "_bes_output.nc")
  xdim = file.def_dim('y', x.shape[0])
  zdim = file.def_dim('z', z.shape[1])
  tdim = file.def_dim('t', 0) #zero means unlimited
  x_var = file.def_var("x", 'sfloat', [xdim, zdim])
  z_var = file.def_var("z", 'sfloat', [xdim, zdim])
  t_var = file.def_var("t", 'sfloat', [tdim])
  field_var = file.def_var("field", 'sfloat', [xdim, zdim, tdim])
  file.enddef
  #Write dimensions to file
  x_var.put(NArray.to_na(x.to_a))
  z_var.put(NArray.to_na(z.to_a))

  #Loop over time, load field as function of space at each time index, write to file
  for i in t_index_beg...t_index_end #inclusive of end
    Terminal.erewind(1) #go back one line in terminal
    eputs sprintf("Writing time index = %d of %d#{Terminal::CLEAR_LINE}", i, t_index_end-t_index_beg+1) #clear line and print time index
    options[:t_index] = i
    #Need to test whether omega is specified to change torphi at each time step. If not, do nothing since torphi must be
    #set to a value to call the graphkit below
    if options[:omega]
      options[:torphi] = omega * (gsl_vector(:t)[i] - gsl_vector(:t)[0]) * (amin/v_ref)
    end
    kit = field_real_space_poloidal_plane_graphkit(options)
    t_var.put(gsl_vector(:t)[i], 'index'=>[i-t_index_beg]) #Write time to unlimited time NetCDF variable
    field_var.put(NArray.to_na((kit.data[0].f.data).to_a), 'start'=>[0,0,i-t_index_beg], 'end'=>[-1,-1,i-t_index_beg])
  end
  file.close

  #Ignore this until interpolation issue is sorted
=begin
  #**************************
  # Set up new regular grid *
  #**************************
  th_grid_size = x.shape[1]
  flux_tube_midpt = x[0, (th_grid_size-1)/2] + (x[-1, (th_grid_size-1)/2] - x[1, (th_grid_size-1)/2])/2
  x_vec_reg = GSL::Vector.linspace(flux_tube_midpt - r_box_size, flux_tube_midpt + r_box_size, r_box_pts)
  z_vec_reg = GSL::Vector.linspace(-z_box_size, z_box_size, z_box_pts)
  x_reg = GSL::Matrix.alloc(r_box_pts, z_box_pts)
  z_reg = GSL::Matrix.alloc(r_box_pts, z_box_pts)
  field_reg = GSL::Matrix.alloc(r_box_pts, z_box_pts)
  for i in 0...r_box_pts
    for j in 0...z_box_pts
      x_reg[i,j] = x_vec_reg[i]
      z_reg[i,j] = z_vec_reg[j]
    end
  end

  #************************************************
  # Find the field at every point on regular grid *
  #************************************************
  #To evaluate field on a regular grid given the field on an irregular grid, need to interpolate. The rubygem
  #gsl_extras contains an interpolation routine called ScatterInterp which does exactly this based on a
  #'Radial Basis Function' method.

  #Have R, Z, and field on an irregular grid in the form of matrices. ScatterInterp only takes in GSL vectors
  #so simply convert these matrices to vectors (of size row*col) since the order of the pts don't matter.
  x_vec = GSL::Vector.alloc(x.shape[0]*x.shape[1])
  z_vec = GSL::Vector.alloc(x.shape[0]*x.shape[1])
  field_vec = GSL::Vector.alloc(x.shape[0]*x.shape[1])
  for i in 0...x.shape[0]
    for j in 0...x.shape[1]
      x_vec[x.shape[1]*i + j] = x[i,j]
      z_vec[x.shape[1]*i + j] = z[i,j]
      field_vec[x.shape[1]*i + j] = field[i,j]
    end
  end

  #Now pass these vectors to ScatterInterp. This creates an object with instance method 'eval' which can be given an x,z coord
  #at which to evaluate the interpolated function.
  p 'Interpolating'
  interp = GSL::ScatterInterp.alloc(:linear, [x_vec, z_vec, field_vec], false, r0=0.1)
  p 'Finished interpolating'
  for i in 0...x_vec_reg.size
    for j in 0...z_vec_reg.size
      field_reg[i,j] = interp.eval(x_vec_reg[i], z_vec_reg[j])
    end
  end

  kit = GraphKit.quick_create([x_vec_reg, z_vec_reg, field_reg])
  #kit2 = GraphKit.quick_create([x_vec, z_vec, field_vec])
=end

end

#box_kx_index(physical_kx_index) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1395

def box_kx_index(physical_kx_index)

	return kx_indexed[physical_kx_index]
end

#calculate_frequencies ⇒ Object

Actually, this doesn’t calculate the frequencies but reads them from run_name.out. Requires write_line to be .true.



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# File 'lib/gs2crmod/calculations.rb', line 254

def calculate_frequencies
		@real_frequencies = FloatHash.new
		gs2_out = FileUtils.tail(@run_name + ".out", list(:ky).size*list(:kx).size)
# 		a  = gs2_out.split("\n")
		final_timestep_list = gs2_out #a.slice((a.size-@ky_list.size*@kx_list.size-1)..a.size-1).join("\n")
 		log(final_timestep_list.slice(-2..-1))
# 		eputs final_timestep_list
		f = LongRegexen::FLOAT.verbatim
		logi(f)
		@frequency_at_ky_at_kx||= FloatHash.new
		ky_values = []
		regex = Regexp.new( "^.*aky=\\s*(?<aky>#{f})\s*akx=\\s*(?<akx>#{f}).*omav=\\s*(?<re>#{f})\\s*(?<gr>#{f})")
		final_timestep_list.scan(regex) do
			aky = eval($~[:aky])
			akx = eval($~[:akx])
			@frequency_at_ky_at_kx[aky] = FloatHash.new unless ky_values.include? aky
			ky_values.push aky
			@frequency_at_ky_at_kx[aky][akx] = eval($~[:re])
		end
end

#calculate_growth_rate(vector, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 377

def calculate_growth_rate(vector, options={})
	raise "This vector should be positive definite" if vector.min < 0.0
	offset = 0
	length = vector.length
  while vector[offset] == 0.0
    offset+=1
    return 0.0 if offset == vector.length
  end
	growth_rate = GSL::Fit::linear(gsl_vector(:t).subvector(offset, length-offset), 0.5*GSL::Sf::log(vector.subvector(offset, length - offset)))[1]
	divisor = 1
	while (growth_rate.to_s == "NaN")
			#This corrects the growth rate if phi has grown all the way to NaN during the simulation
		divisor *= 2
		length = (vector.size.to_f / divisor.to_f).floor
# 				p length
		return "NaN" if length <= offset + 1
		growth_rate = GSL::Fit::linear(gsl_vector(:t).subvector(offset, length-offset), 0.5*GSL::Sf::log(vector.subvector(offset, length-offset)))[1]
	end	
	growth_rate
end

#calculate_growth_rates_and_frequencies ⇒ Object Also known as: cgrf 



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# File 'lib/gs2crmod/calculations.rb', line 274

def calculate_growth_rates_and_frequencies
        return if @grid_option == "single" and @aky == 0.0 # no meaningful results
	Dir.chdir(@directory) do
		logf(:calculate_growth_rates_and_frequencies)
		logd

		calculate_frequencies
		
# 		get_list_of(:ky, :kx)
		@growth_rates= FloatHash.new
			#raise CRFatal.new("Unknown value of ky read from output file: #{data[:aky].to_f}. Not in list:\n#{list(:ky).values.inspect}") 
# 		pp @ky_list
		
		# With zero magnetic shear, calculate growth rates for both kx and ky
		#if @shat and @shat.abs < 1.0e-5 and @nx and @nx > 1 
			to_calc = [:kx, :ky]
			@growth_rate_at_kx ||= FloatHash.new
		#else
			#to_calc = [:ky]
		#end
		
		@growth_rate_at_ky ||= FloatHash.new
 		eputs
#		p @growth_rate_at_kx; exit
		to_calc.each do |kxy|
			growth_rates = send(:growth_rate_at_ + kxy)
		list(kxy).values.sort.each do |value|
			
			#p growth_rates.keys, value, growth_rates[value.to_f-0.0],
			#growth_rates.class, growth_rates.keys.include?(value); exit
	
			next if growth_rates.keys.include? value

			
			Terminal.erewind(1)
			#ep growth_rates.keys
			eputs sprintf("Calculating growth rate for #{kxy} = % 1.5e#{Terminal::CLEAR_LINE}", value) 
			

					# Mode has 0 growth rate at ky==0
			(growth_rates[value] = 0.0; next) if value == 0.0 and kxy == :ky 
			if @g_exb_start_timestep
				t_index_window = [1, [(g_exb_start_timestep-1)/@nwrite, list(:t).keys.max].min]
				#ep "t_index_window", t_index_window
			else
				t_index_window = nil
			end
			if list(kxy).size == 1
				phi2_vec = gsl_vector("phi2tot_over_time", t_index_window: t_index_window)
			else
				phi2_vec = gsl_vector("phi2_by_#{kxy}_over_time", kxy=>value, :t_index_window=> t_index_window)
			end
			(growth_rates[value] = 0.0; next) if phi2_vec.min <= 0.0
			growth_rates[value] = calculate_growth_rate(phi2_vec)
			(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rate\n----------\n\n"; growth_rates[value] = -1; next) if growth_rates[value] == "NaN"
		end
		end
		
 		write_results
		
# 		ep "growth_rate_at_ky", @growth_rate_at_ky
		if ENV['GS2_CALCULATE_ALL']
		trap(0){eputs "Calculation of spectrum did not complete: run 'cgrf' (i.e. calculate_growth_rates_and_frequencies) for this run. E.g. from the command line \n $ coderunner rc 'cgrf' -j #{@id}"; exit}
		@growth_rate_at_ky_at_kx ||= FloatHash.new
		list(:ky).values.sort.each do |kyv|
			# MJL 2013-11-07: The line below originally used ||= instead of =. I'm not sure why, since ||= does not seem to work.
			@growth_rate_at_ky_at_kx[kyv] = FloatHash.new
			list(:kx).values.sort.each do |kxv|	
				# MJL 2013-11-07: I'm not sure why this next line was originally included. It seemed to cause almost all k's to be skipped.
				#next if @growth_rate_at_ky_at_kx[kyv].keys.include? kxv
				Terminal.erewind(1)
				eputs sprintf("Calculating growth rate for kx = % 1.5e and ky = % 1.5e#{Terminal::CLEAR_LINE}", kxv, kyv) 
				(@growth_rate_at_ky_at_kx[kyv][kxv] = 0.0; next) if kyv == 0.0 # Mode has 0 growth rate at ky==0
				phi2_vec = gsl_vector("phi2_by_mode_over_time", {:kx=>kxv, :ky=>kyv})
				(@growth_rate_at_ky_at_kx[kyv][kxv] = 0.0; next) if phi2_vec.min <= 0.0
				@growth_rate_at_ky_at_kx[kyv][kxv] = calculate_growth_rate(phi2_vec)
				(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rates\n----------\n\n"; @growth_rate_at_ky_at_kx[kyv][kxv] = -1; next) if @growth_rate_at_ky_at_kx[kyv][kxv] == "NaN" 
			end
			write_results
		end
		trap(0){}
		end
		@growth_rates = @growth_rate_at_ky
		@max_growth_rate = @growth_rates.values.max
		@fastest_growing_mode = @growth_rates.key(@max_growth_rate)
		@freq_of_max_growth_rate = @real_frequencies[@fastest_growing_mode]
		ep @max_growth_rate, @growth_rates
		@decaying = (@max_growth_rate < 0) if @max_growth_rate
		@ky = @aky if @aky
		if @grid_option == "single"
# 			ep @aky, @growth_rates
			@gamma_r = @growth_rates[@aky.to_f]
			@gamma_i = @real_frequencies[@aky.to_f]
		end
# 		ep @gamma_r
		
		
# 		eputs @growth_rates; gets
	end
end

#calculate_results ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 257

def calculate_results
  return if ENV['CODE_RUNNER_NO_ANALYSIS'] =~ /true/


  eputs "Analysing run"

  if @nonlinear_mode == "off"

    calculate_growth_rates_and_frequencies
    calculate_transient_amplifications
  elsif @nonlinear_mode == "on"
    calculate_saturation_time_index
    calculate_time_averaged_fluxes
    begin
      calculate_spectral_checks
      calculate_vspace_checks
    rescue
    end
  end

  @growth_rates ||={}
  @real_frequencies ||={}
end

#calculate_saturation_time_index(show_graph = false) ⇒ Object Also known as: csti

I.e. the time at which the primary modes are saturated and the fluxes settle around a long term average.



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# File 'lib/gs2crmod/calculations.rb', line 105

def calculate_saturation_time_index(show_graph = false)
	
	eprint "Checking for saturation..."

	#hflux = gsl_vector('hflux_tot_over_time', {})
	hflux = gsl_vector('phi2tot_over_time', {})
	
 	#eputs 'got hflux'
	#ep 'hflux', hflux
	
	#Check if it's decayed to 0
	if hflux[-1] < 1.0e-10
		for i in 1..hflux.size
# 			raise "negative heat flux: #{hflux[-i]} " if hflux[-i] < 0
			(break) unless hflux[- i] < 1.0e-10
		end
		if i > hflux.size * 1.0/10.0 #i.e if was 0 for more than a tenth of the time
			@saturated = true
			@saturation_time_index = hflux.size - i + 1
			eputs "saturation time = #{list(:t)[@saturation_time_index]}"
			GraphKit.quick_create([gsl_vector('t',{}), hflux]).gnuplot(log_axis: 'y') if show_graph
			return
		end
	end
		
	# Get initial estimate for saturation time
	for i in 0...hflux.size
		rem = hflux.subvector(i, hflux.size - i)
		break if (hflux[i] - rem.mean).abs < rem.sd / 2.0
		break if i > 3.0/4.0*hflux.size
	end
	
	@saturation_time_index = [i + 1, hflux.size - 2].min
	
# 	fit = GSL::Fit::linear(GSL::Vector.indgen(rem.size), rem)
# 	
# 	slope, covar11 = fit[1], fit[4]
# 	range = [slope + Math.sqrt(covar11), slope - Math.sqrt(covar11)]
# 	
# 	unless range.min < 0 and range.max > 0
# 		eputs "Warning: This run (#{id}) has probably not reached a saturated state: the estimated slope of the heat flux is in this range: #{range.inspect}"
# 		@saturated = false
# 	end
# 	
# 	ep fit
	
# 	eputs "Saturation time estimate', @saturation_time_index = i + 1
# 	t_vec[@saturation_time_index - 1]
	max_t_index = list(:t).keys.max
	max_t = list(:t).values.max
	min_t = list(:t).values.min
	#hflux = gsl_vector('hflux_tot_over_time', {:t_index_window => [@saturation_time_index, max_t_index]})
	hflux = gsl_vector('phi2tot_over_time', {:t_index_window => [@saturation_time_index, max_t_index]})
	t_vec = gsl_vector('t', {:t_index_window => [@saturation_time_index, max_t_index]})
# 	p t_vec[0]
	i = 0
	t_arr = []; conf_arr = []
	loop do
		eprint '.'
		
# 		GraphKit.autocreate(x: {data: t_vec}, y: {data: hflux}).gnuplot
		
		lomb = GSL::SpectralAnalysis::Lomb.alloc(t_vec.subvector(i, t_vec.size - i),  hflux.subvector(i, hflux.size - i))
		fs, periodogram = lomb.calculate_periodogram(1.0, 4.0, [0]) #(1.0) #0.1 * hflux.size / ( hflux.size - i))
# 		lomb.graphkit.gnuplot
		
# 		eputs 'Confidence that lowest frequency is not noise is: '
		# pnoise is the probability of the strength of the lowest frequency signal in the heat flux given a hypothesis of gaussian noise. If it is high there is a low likelihood that there is a signal at the lowest frequency: ie. within that window the heat flux has reached a stationary state
		pnoise = lomb.pnull(periodogram[0])
		t_arr.push t_vec[i]; conf_arr.push pnoise
		
		(@saturated = true; break) if pnoise > 0.9
		step = (hflux.size / 25.0).to_i
		step = 1 if step==0
		i += step
		#(@saturated = false; i ; break) if (i >= t_vec.size or t_vec[i] > (max_t - min_t) * 2.0 / 3.0 + min_t )
		(@saturated = false; break) if (i >= t_vec.size or t_vec[i] > (max_t - min_t) * 2.0 / 3.0 + min_t )
		@saturation_time_index += step	
#		ep '---i,t,size',i, t_vec[i], t_vec.size
	end
	(kit = GraphKit.autocreate({x: {data: t_vec}, y: {data: hflux / hflux.max}}, {x: {data: t_arr}, y: {data: conf_arr}}); kit.data[1].with = 'lp'; kit.gnuplot) if show_graph #(log_axis: 'y')
# 	puts 
	if @saturated
# 		p i
		eputs "saturation time = #{list(:t)[@saturation_time_index]}"
	else
		eputs "run not saturated"
	end
		
	return
	exit
	# Get regularly spaced t vector
	
# 	
# 	t_delta_vec = GSL::Vector.alloc(t_vec.size - 1)
# 	t_delta_vec.size.times.each{|i| t_delta_vec[i] = t_vec[i+1] - t_vec[i]}
# 	
# 	ep t_delta_vec.max, t_delta_vec.min
# 	
# 	even_t = GSL::Vector.linspace(t_vec.min, t_vec.max, ((t_vec.max - t_vec.min) / t_delta_vec.max).round )
# 	
# # 	even_t = []
# # 	tm = t = t_vec[t_delta_vec.max_index]
# 	
# # 	loop do
# # 		even_t.push t
# 		
# # 	
# 	ep even_t.size, t_vec.size
# 	
# 	min_delt = t_delta_vec.min
# 	p even_t.any?{|el| bool = (not t_vec.any?{|ele| (ele - el).abs < 1.0e-1 * min_delt}); ep el if bool; bool}
# 	
# 	ep t_vec.dup.delete_if{|el| not (el - 71.3).abs < 0.5}
# 	
# 	exit
	
	
	
	
	return
	
	# Calculate a series of time averaged segments
	pieces = hflux.pieces(20) # split into 20 pieces
	avgs = GSL::Vector.alloc(pieces.map{|vec| vec.sum/vec.size})
	# Calculate their variance
	mean = (avgs.sum/avgs.size)
	sig = Math.sqrt((avgs.square - mean**2).sum/avgs.size)
	# Discount any at the start which are more than one standard deviation away from the average - they are from the linear growth phase
	t_index = 1
	kept_avgs = avgs.dup
	for i in 0...pieces.size
		if (avgs[i] - mean).abs > sig
			kept_avgs.delete_at(i)
			t_index += pieces[i].size
		else
			break
		end
	end
	eputs "Warning: probably not saturated" if [kept_avgs, kept_avgs.reverse].include? kept_avgs.sort
	ep kept_avgs
	@saturation_time_index = t_index
# 	p t_index, list(:t)[t_index]
end

#calculate_spectral_checks ⇒ Object Also known as: csc 



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# File 'lib/gs2crmod/calculations.rb', line 740

def calculate_spectral_checks
	ky_spec = gsl_vector('spectrum_over_ky')
	kx_spec = gsl_vector('spectrum_over_kx')
	kpar_spec = gsl_vector('spectrum_over_kpar', ky_index: ky_spec.max_index + 1, kx_index: 1)
	
	@spectrum_check = []
	[kx_spec, ky_spec, kpar_spec].each do |spec|
		begin
			ends_max = [spec[0], spec[-1]].max + (10.0**(-9))
			p ends_max 		
			p spec.max
			check = (Math.log(spec.max/ends_max)/Math.log(10)).round
		rescue
			check= -10
		end
		@spectrum_check.push check
	end
end

#calculate_time_averaged_fluxes ⇒ Object Also known as: ctaf 



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# File 'lib/gs2crmod/calculations.rb', line 19

def calculate_time_averaged_fluxes
	eputs 'Calculating time averaged fluxes'
	calculate_saturation_time_index unless @saturation_time_index
	return unless FileTest.exist?(netcdf_filename)
	@hflux_tot_stav = saturated_time_average('hflux_tot_over_time', {})
	@hflux_tot_stav_error = saturated_time_average_error('hflux_tot_over_time', {})
	@phi2_tot_stav = saturated_time_average('phi2tot_over_time', {})
	#@par_mom_flux_stav = saturated_time_average('par_mom_flux_over_time', {}) rescue nil
	#@perp_mom_flux_stav = saturated_time_average('perp_mom_flux_over_time', {}) rescue nil
	@es_mom_flux_stav = {}
	@es_heat_flux_stav = {}
	@es_mom_flux_stav_error = {}
	@es_heat_flux_stav_error = {}

	@nspec.times do |i|
		species_index = i + 1
		@es_mom_flux_stav[species_index]  = saturated_time_average('es_mom_flux_over_time', {species_index: species_index})
		@es_heat_flux_stav[species_index]  = saturated_time_average('es_heat_flux_over_time', {species_index: species_index})
		@es_mom_flux_stav_error[species_index]  = saturated_time_average_error('es_mom_flux_over_time', {species_index: species_index})
		@es_heat_flux_stav_error[species_index]  = saturated_time_average_error('es_heat_flux_over_time', {species_index: species_index})
	end
# 	ep @es_mom_flux_stav, @es_heat_flux_stav
end

#calculate_transient_amplification(vector, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 656

def calculate_transient_amplification(vector, options={})
	turning_points = {}
	old = vector[0]
	i = 0
	#for i in i...vector.size
		#new = vector[i]
		#if new > old
			#turning_points[:first_min] = i-1
			#ep "First turning point[#{i}]\n"
			#break
		#end
		#old = new
	#end

	#for i in i...vector.size
		#new = vector[i]
		#if new < old
			#turning_points[:first_max] = i-1
			#ep "Second turning point[#{i}]\n"
			#break
		#end
	#end

	#unless turning_points[:first_max] # and turning_points[:first_min]
		#return NaN
	#end
	##t = gsl_vector('t')
	##for j in 0...vector.size
		##break if t[j] > 0.2
	##end	
	#ep "vector[0..5]: #{vector.subvector(0,5)}\n"
	#return Math.sqrt(vector[turning_points[:first_max]]/@phiinit)
	#return vector.max/@phiinit
  vector[0] = 0 # This ensures vector.max does not return 1st point for no transient growth
	return vector.max/vector[1]
end

#calculate_transient_amplifications ⇒ Object Also known as: cta 



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# File 'lib/gs2crmod/calculations.rb', line 404

def calculate_transient_amplifications
  return if @grid_option == "single" and @aky == 0.0 # no meaningful results
	Dir.chdir(@directory) do
		# With zero magnetic shear, calculate amplifications for both kx and ky
		if @shat and @shat.abs < 1.0e-5 and @nx > 1 
			to_calc = [:kx, :ky]
			@transient_amplification_at_kx ||= FloatHash.new
		else
			to_calc = [:ky]
		end
		
		@transient_amplification_at_ky ||= FloatHash.new
 		eputs
		to_calc.each do |kxy|
			transient_amplifications = send(:transient_amplification_at_ + kxy)
			list(kxy).values.sort.each do |value|
			
				#p transient_amplifications.keys, value, transient_amplifications[value.to_f-0.0],
				#transient_amplifications.class, transient_amplifications.keys.include?(value); exit
		
				next if transient_amplifications.keys.include? value

				
				Terminal.erewind(1)
				#ep transient_amplifications.keys
				eputs sprintf("Calculating transient amplification for #{kxy} = % 1.5e#{Terminal::CLEAR_LINE}", value) 
				

						# Mode has 0 growth rate at ky==0
				(transient_amplifications[value] = 0.0; next) if value == 0.0 and kxy == :ky 
				phi2_vec = gsl_vector("phi2_by_#{kxy}_over_time", {kxy=>value})
				#(transient_amplifications[value] = 0.0; next) if phi2_vec.min <= 0.0
				transient_amplifications[value] = calculate_transient_amplification(phi2_vec)
				(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rate\n----------\n\n"; transient_amplifications[value] = -1; next) if transient_amplifications[value].to_s == "NaN"
			end
		end
		
 		write_results
		
# 		ep "transient_amplification_at_ky", @transient_amplification_at_ky
		if ENV['GS2_CALCULATE_ALL']
		trap(0){eputs "Calculation of spectrum did not complete: run 'cgrf' (i.e. calculate_transient_amplifications_and_frequencies) for this run. E.g. from the command line \n $ coderunner rc 'cgrf' -j #{@id}"; exit}
		@transient_amplification_at_ky_at_kx ||= FloatHash.new
		list(:ky).values.sort.each do |kyv|
			@transient_amplification_at_ky_at_kx[kyv] ||= FloatHash.new
			#p @transient_amplification_at_ky_at_kx[kyv]
			list(:kx).values.sort.each do |kxv|	
				next if @transient_amplification_at_ky_at_kx[kyv].keys.include? kxv
				Terminal.erewind(1)
				eputs sprintf("Calculating growth rate for kx = % 1.5e and ky = % 1.5e#{Terminal::CLEAR_LINE}", kxv, kyv) 
				(@transient_amplification_at_ky_at_kx[kyv][kxv] = 0.0; next) if kyv == 0.0 # Mode has 0 growth rate at ky==0
				phi2_vec = gsl_vector("phi2_by_mode_over_time", {:kx=>kxv, :ky=>kyv})
				#(@transient_amplification_at_ky_at_kx[kyv][kxv] = 0.0; next) if phi2_vec.min <= 0.0
				@transient_amplification_at_ky_at_kx[kyv][kxv] = calculate_transient_amplification(phi2_vec)
				(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rates\n----------\n\n"; @transient_amplification_at_ky_at_kx[kyv][kxv] = -1; next) if @transient_amplification_at_ky_at_kx[kyv][kxv].to_s == "NaN" 
			end
			write_results
		end
		trap(0){}
		end
		@transient_amplifications = @transient_amplification_at_ky
		@max_transient_amplification = @transient_amplifications.values.max
		@most_amplified_mode = @transient_amplifications.key(@max_transient_amplification)
		#@freq_of_max_transient_amplification = @real_frequencies[@fastest_growing_mode]
		#ep @max_transient_amplification, @transient_amplifications
		#@decaying = (@max_transient_amplification < 0) if @max_transient_amplification
		@ky = @aky if @aky
		#if @grid_option == "single"
## 			ep @aky, @transient_amplifications
			#@gamma_r = @transient_amplifications[@aky.to_f]
			#@gamma_i = @real_frequencies[@aky.to_f]
		#end
# 		ep @gamma_r
		
		
# 		eputs @transient_amplifications; gets
	end
end

#calculate_transient_es_heat_flux_amplifications ⇒ Object Also known as: ctehfa 



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# File 'lib/gs2crmod/calculations.rb', line 486

def calculate_transient_es_heat_flux_amplifications
  return if @grid_option == "single" and @aky == 0.0 # no meaningful results

	@transient_es_heat_flux_amplification_at_species_at_kx = []
	@transient_es_heat_flux_amplification_at_species_at_ky = []
  @transient_es_heat_flux_amplification_at_species_at_ky_at_kx = []
	for species_index in 1..nspec

	Dir.chdir(@directory) do
		# With zero magnetic shear, calculate amplifications for both kx and ky
		if @shat and @shat.abs < 1.0e-5 and @nx > 1 and !@ikx_init and false
			to_calc = [:kx, :ky]
			@transient_es_heat_flux_amplification_at_species_at_kx[species_index-1] ||= FloatHash.new
		else
			to_calc = [:ky]
		end
		
		@transient_es_heat_flux_amplification_at_species_at_ky[species_index-1] ||= FloatHash.new
 		eputs
		to_calc.each do |kxy|
			transient_es_heat_flux_amplifications = send(:transient_es_heat_flux_amplification_at_species_at_ + kxy)[species_index-1]
			list(kxy).values.sort.each do |value|
			
				#p transient_es_heat_flux_amplifications.keys, value, transient_es_heat_flux_amplifications[value.to_f-0.0],
				#transient_es_heat_flux_amplifications.class, transient_es_heat_flux_amplifications.keys.include?(value); exit
		
				next if transient_es_heat_flux_amplifications.keys.include? value

				
				Terminal.erewind(1)
				#ep transient_es_heat_flux_amplifications.keys
				eputs sprintf("Calculating transient amplification for #{kxy} = % 1.5e#{Terminal::CLEAR_LINE}", value) 
				

						# Mode has 0 growth rate at ky==0
				(transient_es_heat_flux_amplifications[value] = 0.0; next) if value == 0.0 and kxy == :ky 
				phi2_vec = gsl_vector("es_heat_by_#{kxy}_over_time", {kxy=>value, species_index: species_index})
				#(transient_es_heat_flux_amplifications[value] = 0.0; next) if phi2_vec.min <= 0.0
				transient_es_heat_flux_amplifications[value] = calculate_transient_amplification(phi2_vec)
				(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rate\n----------\n\n"; transient_es_heat_flux_amplifications[value] = -1; next) if transient_es_heat_flux_amplifications[value].to_s == "NaN"
			end
		end
		
 		write_results
		
# 		ep "transient_es_heat_flux_amplification_at_species_at_ky", @transient_es_heat_flux_amplification_at_species_at_ky
		if ENV['GS2_CALCULATE_ALL']
		trap(0){eputs "Calculation of spectrum did not complete: run 'ctehfa' (i.e. calculate_transient_es_heat_flux_amplifications) for this run. E.g. from the command line \n $ coderunner rc 'ctehfa' -j #{@id}"; exit}
		@transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1] ||= FloatHash.new
		list(:ky).values.sort.each do |kyv|
			@transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv] ||= FloatHash.new
			#p @transient_es_heat_flux_amplification_at_species_at_ky_at_kx[kyv]
			list(:kx).values.sort.each do |kxv|	
				next if @transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv].keys.include? kxv
				Terminal.erewind(1)
				eputs sprintf("Calculating growth rate for kx = % 1.5e and ky = % 1.5e#{Terminal::CLEAR_LINE}", kxv, kyv) 
				(@transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv][kxv] = 0.0; next) if kyv == 0.0 # Mode has 0 growth rate at ky==0
				phi2_vec = gsl_vector("phi2_by_mode_over_time", {:kx=>kxv, :ky=>kyv})
				#(@transient_es_heat_flux_amplification_at_species_at_ky_at_kx[kyv][kxv] = 0.0; next) if phi2_vec.min <= 0.0
				@transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv][kxv] = calculate_transient_es_heat_flux_amplification(phi2_vec)
				(eputs "\n\n----------\nIn #@run_name:\n\nphi2_by_#{kxy}_over_time is all NaN; unable to calculate growth rates\n----------\n\n"; @transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv][kxv] = -1; next) if @transient_es_heat_flux_amplification_at_species_at_ky_at_kx[species_index-1][kyv][kxv].to_s == "NaN" 
			end
			write_results
		end
		trap(0){}
		end
		#@max_transient_es_heat_flux_amplification = @transient_es_heat_flux_amplifications.values.max
		#@most_amplified_mode = @transient_es_heat_flux_amplifications.key(@max_transient_es_heat_flux_amplification)
		#@ky = @aky if @aky
	end
	end # for species_index in 1..nspec
end

#calculate_vspace_checks ⇒ Object Also known as: cvc 



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# File 'lib/gs2crmod/calculations.rb', line 759

def calculate_vspace_checks
	@vspace_check = ['lpc_pitch_angle', 'vres_pitch_angle', 'lpc_energy',  'vres_energy'].map do |name|
		saturated_time_average(name, {}) 
	end
		
end

#check_converged ⇒ Object

Raises:

  • (CRFatal) 


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# File 'lib/gs2crmod/check_convergence.rb', line 5

def check_converged
	raise CRFatal.new("It is strongly recommended that you do not use the use_large_cache option (-U) while checking convergence. Doing so will lead to unpredictable results.") if @runner.use_large_cache
	Dir.chdir(@directory) do
		logf(:check_converged)
		return if @checked_converged and not @runner.recalc_all  

		log('@runner.class:', @runner.class)
		unless @runner.current_request == :check_converged
			@runner.requests.push :check_converged
			log 'check_converged requested recall'
			logi '@runner.requests', @runner.requests
			logi('@runner.object_id', @runner.object_id)
			return
		end	
		
		return unless @status == :Complete
		eputs @run_name
		eputs @checked_converged = true
		log("finding similar resolutions")
		@runner.generate_combined_ids(:real)
		case @grid_option
		when "box"	
			@similar_resolutions = @runner.similar_runs([:nx, :ny, :ntheta, :negrid, :naky, :ngauss, :nperiod, :delt, :jtwist], self)
		when "single"
			@similar_resolutions = @runner.similar_runs([:ntheta, :negrid, :naky, :ngauss, :nperiod], self)
		else
			raise CRFatal.new("Unknown grid option - can't get similar runs")
		end
			
		logi(@similar_resolutions)
		unless @similar_resolutions[1]
			eputs @run_name
			@converged = Feedback.get_boolean("This is is the biggest job with these params. Do you want to say it is converged?")
			return 
		end
		@similar_resolutions.sort! do |id1, id2|
			run1 = @runner.run_list[id1]
			run2 = @runner.run_list[id2]
			if @grid_option == "box" and @nonlinear_mode == "off" 
				(run1.jtwist*run1.nx*run1.negrid*run1.ngauss*run1.ntheta*run1.delt <=> run2.jtwist*run2.nx*run2.negrid*run2.ngauss*run2.ntheta*run2.delt)
			elsif @grid_option == "single" and @nonlinear_mode == "off"
				log("using nperiod: #{run1.nperiod}; #{run2.nperiod}")
				run1.negrid*run1.ngauss*run1.ntheta*run1.nperiod <=> run2.negrid*run2.ngauss*run2.ntheta*run2.nperiod

			elsif @naky	
				
				run1.nx*run1.negrid*run1.ngauss*run1.ntheta*run1.naky <=> run2.nx*run2.negrid*run2.ngauss*run2.ntheta*run2.naky
				
			else
				run1.nx*run1.negrid*run1.ngauss*run1.ntheta*run1.ny <=> run2.nx*run2.negrid*run2.ngauss*run2.ntheta*run2.ny

			end

		end

	# 	eputs @similar_resolutions
				
		log("finding my place")
		my_place = @similar_resolutions.index(@id);
	# 	eputs my_place; gets
		if my_place > 0 
			last_job = @runner.run_list[@similar_resolutions[my_place - 1]]
			unless last_job.status == :Complete
				@checked_converged = false
				return
			end
		else
			@converged = false
			return
		end

			
		log("Checking overall convergence")
		#graph = graphkit('phi2tot_vs_time_all_kys') + #last_job.graphkit('phi2tot_vs_time_all_kys')
		#graph.gnuplot
		eputs "\n \n Warning: there are no bigger jobs" unless @similar_resolutions[my_place + 1]  
		#@converged = Feedback.get_boolean("Is the plot converged?")
		#graph.close

		#(@checked_converged = true; return) unless @converged

		log("Checking convergence by ky")
		orn, last_job.runner = last_job.runner, nil
		log('last_job', last_job.pretty_inspect)
		last_job.runner = orn
# 		last_job.get_ky_graphs; last_job.get_eigenfunctions
	# 	logi(last_job.ky_graphs)
		catch(:quit_converge_check) do 
			options = {}
			list(:ky).each do |index, ky|
				options[:ky] = ky
				next if index == 1 and @grid_option == "box"
				graph = (graphkit('phi2_by_ky_vs_time', options)+last_job.graphkit('phi2_by_ky_vs_time', options))
				graph.gnuplot
				answer = Feedback.get_choice("Is the graph converged?", ["Yes", "No", "The whole run is converged, stop pestering me!"])
				graph.close
				case answer
				when /No/
					@converged = false
					throw(:quit_converge_check)
				when /stop/
					@converged = true
					throw(:quit_converge_check)
				when /Yes/
					@converged = true
				end
				cgraph = lgraph = 'efnnormmag'
				graph = (graphkit('efnnormmag', options)+last_job.graphkit('efnnormmag', options))
				
# 				graph.gnuplot

				loop do
					graph.gnuplot
					answer = Feedback.get_choice('Is the graph converged?', ['Yes', 'No', 'The whole run is converged, stop pestering me!', 'Show me the magnitude of the eigenfunctions', 'Show me the real part of the eigenfunctions again', 'Normalise the eigenfunctions', 'Denormalise the eigenfunctions', 'Reverse the axis of the current run', 'Flip the current run', 'Toggle xrange'])
					graph.close
					case answer
					when /^Yes$/		
						@converged = true
						break
					when /^No$/
						@converged = false
						throw(:quit_converge_check)
					when /stop/
						@converged = true
						throw(:quit_converge_check)
					when /magnitude/
						log 'checking convergence using magnitude'
						lgraph += 'mag'; cgraph += 'mag'
					when /Normalise/
						log 'normalising'
						lgraph += 'norm'; cgraph += 'norm'
					when /Denormalise/
						log 'denormalising'
						lgraph.gsub!(/norm/, ''); cgraph.gsub!(/norm/, '')
					when /real/
						lgraph.gsub!(/mag/, ''); cgraph.gsub!(/mag/, '')
					when /Reverse/
						cgraph = cgraph =~ /rev/ ? cgraph.sub!(/rev/, '') : cgraph + 'rev'
# 						graph = (@eigenfunctions[ky]+last_job.eigenfunctions[ky])
					when /Flip/
						cgraph = cgraph =~ /flip/ ? cgraph.sub!(/flip/, '') : cgraph + 'flip'
# 						graph = (@eigenfunctions[ky]+last_job.eigenfunctions[ky])
					when /xrange/
						if options[:range]
							options[:range] = nil
						else
							options[:range] = 0
						end
					else
						raise CRFatal.new("couldn't match choice #{answer}")
					end
					graph = graphkit(cgraph, options) + last_job.graphkit(lgraph, options)
					log graph.title
				end
				
				
			end
		end
		@checked_converged =true
		
		if last_job.checked_converged
			last_job.ky_graphs = nil
			last_job.eigenfunctions = nil
# 			last_job.t_list = nil
# 			last_job.kx_list = nil
		end
		
# 		finish_processing
	end
	ep self
end

#check_parameters ⇒ Object

Eventually, this will be a full port of the ingen tool in the GS2 folder. At the moment it runs a limited set of tests for common errors in the input parameters (including type checking).



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# File 'lib/gs2crmod/ingen.rb', line 97

def check_parameters

  # Sections

  # Namelist Tests
  # Grids
  # Parallelisation
  # Initialisation
  # Diagnostics
  # Misc

  # Namelist Tests

  rcp.namelists.each do |namelist, hash|
    next if hash[:should_include].kind_of? String and not eval(hash[:should_include])
    if en = hash[:enumerator]
      #ep 'en', en, namelist
      next unless send(en[:name])
      send(en[:name]).times do |i|
        run_namelist_tests(namelist, hash, i+1)
      end
    else
      run_namelist_tests(namelist, hash)
    end
  end

  ###############
  # Grid Errors #
  ###############

  # naky
  warning("Setting naky when non-linear mode is on is not recommended.") if @naky and @nonlinear_mode == "on"

  warning("You have set both ny and naky; naky will override ny.") if @ny and @naky

  error("abs(shat) should not be less that 1.0e-6") if @shat and @shat.abs < 1.0e-6 and not agk?
  error("abs(s_hat_input) should not be less that 1.0e-6") if @s_hat_input and @s_hat_input.abs < 1.0e-6 and not agk?

  # delt

  error("Please specify delt") unless @delt
  error("delt <= 0") if @delt <= 0.0
  warning("Nonlinear run with delt_minimum unspecified.") if @nonlinear_mode=="on" and not @delt_minimum

  error("delt (#@delt) < delt_minimum") if @delt and @delt_minimum and @delt < @delt_minimum

  # negrid
  warning('negrid < 8 is not a good idea!') if @negrid and @negrid < 8

    # nakx
  warning("You have set both nx and ntheta0; ntheta0 will override nx.") if @nx and @ntheta0

  warning("Do you have a reason for setting equal_arc = true (default)? If not set false.") if @equilibrium_option=="eik" and (!@equal_arc or @equal_arc.fortran_true?)

  warning("Recommend nperiod > 1 for linear runs.") if @nonlinear_mode == "off" and (!@nperiod or @nperiod == 1)
  warning("Recommend nperiod = 1 for nonlinear runs.") if @nonlinear_mode == "on" and (@nperiod > 1)

  warning("Consider using field_option = local and associated optimizations.") if @field_option and @field_option == "implicit"

  #################################
  # Parallelisation/Layout Errors #
  #################################

  # Best linear run layout is lexys
  warning("The best layout for linear runs is usually lexys.") if @nonlinear_mode=="off" and not @layout=="lexys"

  # Best nonlinear run layout is xyles
        warning("The best layout for nonlinear runs is usually xyles.") if @nonlinear_mode=="on" and not @layout=="xyles"

  # Check whether we are parallelising over x
  warning("Parallelising over x: suggest total number of processors should be: #{max_nprocs_no_x}") if actual_number_of_processors > max_nprocs_no_x and not @grid_option == "single"

  #########################
  # Initialisation Errors #
  #########################

  # Check if restart folder exists
  if @restart_file and  @restart_file =~ /^(?<folder>[^\/]+)\//
    folder = $~[:folder]
    warning("Folder #{folder}, specified in restart_file, not present. NetCDF save may fail") unless FileTest.exist?(folder)
  end

  error("Setting @restart_file as an empty string will result in hidden restart files.") if @restart_file == ""

  error("ginit_option is 'many' but is_a_restart is false") if @ginit_option == "many" and not @is_a_restart

  error("chop_side should not be used (remove test if default changes from T to F)") if !@chop_side or @chop_side.fortran_true?

  #####################
  # Diagnostic errors #
  #####################

  #Check whether useful diagnostics have been omitted.

  not_set = [:write_verr, :save_for_restart, :write_nl_flux, :write_final_fields, :write_final_moments].find_all do  |diagnostic|
    not (send(diagnostic) and send(diagnostic).fortran_true?)
  end

  if not_set.size > 0
    str = not_set.inject("") do |s, diagnostic|
      s + "\n\t#{diagnostic} --- " + rcp.namelists[diagnostics_namelist][:variables][diagnostic][:description] rescue s
    end
    warning("The following useful diagnostics were not set:" + str) if str.length > 0
  end

  warning("You are running in nonlinear mode but have not switched the nonlinear flux diagnostic.") if not (@write_nl_flux and @write_nl_flux.fortran_true?) and @nonlinear_mode == "on"

  #{
    #write_verr: "Velocity space diagnostics will not be output for this run"
  #}.each do |var, warn|
    #warning(v"#{var} not set or .false. --- " + warn) unless send(var) and send(var).fortran_true?
  #end

  error("Please specify nwrite") unless @nwrite
  error("Please specify nstep") unless @nstep


  warning("You will write out diagnostics less than 50 times") if @nstep/@nwrite < 50

  ########################
  # Miscellaneous errors #
  ########################

  error("The run name for this run is too long. Please move some of the variable settings to the local defaults file.") if @relative_directory.size + @run_name.size > MAX_NAME_SIZE

  warning("You are submitting a nonlinear run with no dissipation.") if @nonlinear_mode == "on" and @hyper_option=="none" and @collision_model=="none"

  warning("You have no spacial implicitness: (bakdif) for one of your species. Be prepared for numerical instabilities!") if (1..@nspec).to_a.find{|i| bd = send("bakdif_#{i}") and bd == 0}

  warning("The system will abort with rapid timestep changes...") if !@abort_rapid_time_step_change or @abort_rapid_time_step_change.fortran_true?

  warning("local_field_solve is an old variable that should not really be used.") if @local_field_solve and  @local_field_solve.fortran_true?

  #############################
  # Boundary Condition Errors #
  #############################

  error("Boundary options should be linked with finite magnetic shear when running nonlinear_runs.") if (!@boundary_option or @boundary_option != "linked") and ((@s_hat_input and @s_hat_input.abs > 1.0e-6) or (@shat and @shat.abs > 1.0e-6)) and not @nonlinear_mode == "off"

  warning("Boundary options should be probably be linked with finite magnetic shear") if (!@boundary_option or @boundary_option != "linked") and ((@s_hat_input and @s_hat_input.abs > 1.0e-6) or (@shat and @shat.abs > 1.0e-6)) 

  warning("You are using boundary_option = linked with grid_option = range: this is probably an error.") if @boundary_option == "linked" and @grid_option == "range" 

  error("Set nonad_zero = true.") if @nonad_zero and not @nonad_zero.fortran_true?


  ###################
  # Spectrogk tests #
  ###################
  #
  if spectrogk?
    if @force_5d and @force_5d.fortran_true?
      warning("Must specify interpolation method with phi_method.") if not (@phi_method)
    end
  end

  ################
  # Damping Rate #
  ################

  error("Linear runs with hyperviscosity are NOT recommended!") if @nonlinear_mode=="off" and (@hyper_option and @hyper_option=="visc_only") and (@d_hypervisc and @d_hypervisc!=0)

  warning("Amplitude dependent part of hyperviscosity being ignored since const_amp = true") if (@hyper_option and @hyper_option=="visc_only") and (@const_amp and @const_amp.fortran_true?)

  ###################
  # Geometry Errors #
  ###################

  error("You must set bishop = 4 for Miller(local) geometry. Remember also that s_hat_input will override shat") if (@bishop!=4 and (@local_eq and @local_eq.fortran_true?))

  error("Shift should be > 0 for s-alpha equilibrium.") if @equilibrium_option=="s-alpha" and (@shift and @shift < 0)
  error("Shift should be < 0 for Miller equilibrium.") if @equilibrium_option=="eik" and @local_eq.fortran_true? and (@shift and @shift > 0)

  error("irho must be 2 for Miller equilibrium.") if @equilibrium_option=="eik" and @local_eq.fortran_true? and (@irho and @irho!=2)

  warning("Note that shat != s_hat_input") if @shat and @s_hat_input and @shat!=@s_hat_input

  ##################
  # Species Errors #
  ##################

  error("Must set z = -1 for electron species.") if (@type_2 and @z_2 and @type_2=='electron' and @z_2 != -1)


  #################
  # Optimisations #
  #################

  if CODE_OPTIONS[:gs2] and CODE_OPTIONS[:gs2][:show_opt]
    eputs("Optimisation Summary:")
    optimisation_flags.each do |flag|
      eputs("-------------------------  #{flag}: #{send(flag)}\n* #{rcp.variables_with_help[flag].gsub(/\n/, "\n\t").sub(/\A([^.]*.).*\Z/m, '\1')}") 
    end
    #not_set = [:operator, :save_for_restart, :write_nl_flux, :write_final_fields, :write_final_moments].find_all do  |diagnostic|
      #not (send(diagnostic) and send(diagnostic).fortran_true?)
    #end

    #if not_set.size > 0
      #str = not_set.inject("") do |s, diagnostic|
        #s + "\n\t#{diagnostic} --- " + rcp.namelists[diagnostics_namelist][:variables][diagnostic][:description] rescue s
      #end
      #warning("The following useful diagnostics were not set:" + str) if str.length > 0
    #end
  end
  
 


end

#code_run_environment ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 90

def code_run_environment
  case CodeRunner::SYS
  when /iridis/
    <<EOF
module load openmpi
EOF
  when /helios/
    <<EOF
module purge
module load intel
module load bullxmpi
module load netcdf_p
module load hdf5_p
module load fftw/3.3.3
module load bullxde papi
module load scalasca
EOF
  #when /archer/
    #<<EOF
#module swap PrgEnv-cray PrgEnv-intel
#module load intel/14.0.0.080
#module load fftw
#module load netcdf-hdf5parallel
#module load cray-hdf5-parallel
#EOF
  else

    @code_run_environment
  end
end

#corrected_mom_flux_stav ⇒ Object

Not needed for GS2 built after 16/06/2010



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# File 'lib/gs2crmod/calculations.rb', line 400

def corrected_mom_flux_stav
	par_mom_flux_stav - perp_mom_flux_stav
end

#correlation_analysis(options = {}) ⇒ Object

This function will handle running the correlation analysis and writing the results to a NetCDF file. Cases need to be handled differently since perp, par and full are just subsets of the full correlation function but the time correlation calculation needs to deal with each radial location separately. Time correlation uses the zonal flows in the toroidal direction to calculate the correlation time.

This function takes in the same options as field_real_space_standard_representation, along with the following new options dealing with interpolation and binning:

correlation_type: determines which subset of correlation function should be calculated (perp/par/full/time) nbins_array: array giving number of bins to use in the binning procedure. Index order (x, y, z ,t) nt_reg: Most of the time you have many more time points than you need for spatial correlations. This sets

number of new interpolation points in time.

Using this function: Since this can only be single threaded, this can be a very expensive calculation when trying to do the full correlation function, so this is not recommended for highly resolved nonlinear runs. This is why the perp/par/full splitting is implemented, allowing one dimension to be taken out essentially.



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# File 'lib/gs2crmod/gs2.rb', line 1193

def correlation_analysis(options={})

  #Sanity checks:
  #Cannot only have one bin since require difference between bins for index calculation
  if options[:nbins_array].include?1
    raise('Cannot have only one bin in nbins_array. Minuimum is two.')
  end
  #Thetamin shouldn't be equal to thetamax to avoid possibili
  #

  case options[:correlation_type]
  when 'perp', 'par', 'full'
    gsl_tensor = field_correlation_gsl_tensor(options)
    shape = gsl_tensor.shape

    #Set up dimensions
    file = NumRu::NetCDF.create(@run_name + "_correlation_analysis_#{options[:correlation_type]}.nc")
    ydim = file.def_dim('x',shape[0])
    xdim = file.def_dim('y',shape[1])
    zdim = file.def_dim('z',shape[2])
    tdim = file.def_dim('t',shape[3])
    correlation_var = file.def_var("correlation", 'sfloat', [xdim, ydim, zdim, tdim])
    file.enddef
    #Write out array
    correlation_var.put(NArray.to_na(gsl_tensor.to_a))
    file.close
  when 'time'
      nakx_actual = NumRu::NetCDF.open(@run_name + ".out.nc").var('kx').get
      kx_len = nakx_actual.length
    if options[:nakx] == nil
      radial_pts = kx_len
    elsif options[:nakx] <= kx_len
      radial_pts = options[:nakx]
    else
      raise('nakx exceeds the total number of kx\'s in simulation')
    end

    #Check whether t_index_window is specified, if not, set to entire t range
    if options[:t_index_window] == nil
      options[:t_index_window] = [1, -1]
    end


    #Now loop through the radial locations and calculate the correlation function in y and t.
    for x in 0...radial_pts
      options[:xmin] = x
      options[:xmax] = x
      gsl_tensor = field_correlation_gsl_tensor(options)
      shape = gsl_tensor.shape

      if x == 0 #Write dimensions to NetCDF file
        file = NumRu::NetCDF.create(@run_name + "_correlation_analysis_#{options[:correlation_type]}.nc")
        ydim = file.def_dim('x',shape[0])
        xdim = file.def_dim('y',shape[1])
        zdim = file.def_dim('z',shape[2])
        tdim = file.def_dim('t',shape[3])
      end
      file.redef
      correlation_var = file.def_var("correlation_x_#{x}", 'sfloat', [xdim, ydim, zdim, tdim])
      file.enddef
      #Write out array
      correlation_var.put(NArray.to_na(gsl_tensor.to_a))
    end
      file.close #only close after loop over radial points
  else
    raise 'Please specify correlation_type as perp/par/time/full'
  end
end

#ctan ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 693

def ctan
	list(:ky).each do |(ky_index, ky)|
		eputs "ky: #{ky}"
		phi_vec = gsl_vector("phi2_by_ky_over_time", ky_index: ky_index)
		t_element	= 0
		old = phi_vec[0]

	  loop do 
			t_element+=1
			#print t_element, ',', phi_vec.size
			new = phi_vec[t_element]
			break if new > old or t_element == phi_vec.size - 1
			old = new
		end
		
		if t_element == phi_vec.size - 1
			@transient_amplification_at_ky[ky] = -1
			eputs "No Min"
			next
		end
		first_min = t_element

		eputs "ky: #{ky}, first_min: #{first_min}"
	  loop do 
			t_element+=1
			#print t_element, ',', phi_vec.size
			new = phi_vec[t_element]
			break if new < old or t_element == phi_vec.size - 1
		end
		if t_element == phi_vec.size - 1
			@transient_amplification_at_ky[ky] = -1
			next
		end
		@transient_amplification_at_ky[ky] = phi_vec.subvector(t_element, phi_vec.size - t_element).max
	end
end

#cumulative_gridpoints ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 339

def cumulative_gridpoints
  c = 1
  error("Please specify layout") unless @layout
  @layout.split(//).reverse.inject({}){|hash, let| c*=gridpoints[let]; hash[let] = c; hash}
end

#data_string ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 420

def data_string
  logf(:data_string)
  return "" unless @converged unless @grid_option == 'single'
  logi(@ky, @growth_rates, @real_frequencies)
#   log(:@@readout_list, @@readout_list)
  return rcp.readout_list.inject(""){|str,(var,_)| str+"#{(send(var) || "0")}\t"} + "\n"

#   @ky ? (@@variables + @@results - ).inject(""){|str,(var,type_co)| str+"#{(send(var) || "0")}\t"} + sprintf("%e\t%e\t%e\n", @ky, @growth_rates[@ky], @real_frequencies[@ky]) : (@@variables + @@results).inject(""){|str,(var,type_co)| str+"#{(send(var) || "0")}\t"} + sprintf("%e\t%e\t%e\n",  @fastest_growing_mode, @max_growth_rate, @freq_of_max_growth_rate)
end

#delete_restart_files(options = {}) ⇒ Object

Delete all the restart files (irreversible!)



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# File 'lib/gs2crmod/gs2.rb', line 613

def delete_restart_files(options={})
  puts 'You are about to delete the restart files for:'
  puts @run_name
  return unless Feedback.get_boolean("This action cannot be reversed. Do you wish to continue?") unless options[:no_confirm]
  list_of_restart_files.each{|file| FileUtils.rm file}
end

#diagnostics_namelist ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 351

def diagnostics_namelist
  :gs2_diagnostics_knobs
end

#error(message) ⇒ Object

Raises:



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# File 'lib/gs2crmod/ingen.rb', line 14

def error(message)
  raise InputFileError.new("Error: " + message)
end

#estimated_nodes ⇒ Object Also known as: estnod

Gives a guess as to the maximum number of nodes which can be can be utilized on the current system



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# File 'lib/gs2crmod/gs2.rb', line 895

def estimated_nodes
  parallelizable_meshpoints / max_ppn
end

#eulerian_kx_index(options) ⇒ Object

This function is used in the presence of perpendicular flow shear. It returns the (Eulerian) GS2 kx_index as a function of the Lagrangian kx, which is the kx_index of the mode in a shearing coordinate system, I.e. if you give it an Lagrangian kx (which is the same as the Eulerian kx at t=0) it will tell you where it has now got to. It may have left the box, in which case this function will return an error.

A given Lagrangian kx moves through the GS2 box, and thus for such a kx the response matrix varies in time. This is done because the effect of flow shear can be reduced by a shearing coordinate transformation to become merely a time varying kx.

At each timestep, phi(ikx_indexed(it)) is set equal to phi(ikx_indexed(it - jump(iky)) kx_indexed is defined in the following way. 

do it=itmin(1), ntheta0

ikx_indexed (it+1-itmin(1)) = it end do

do it=1,itmin(1)-1 ikx_indexed (ntheta0 - itmin(1) + 1 + it)= it end do

In other words, what this means is that akx(ikx_indexed(0)) is the minimum kx, and that akx(ikx_indexed(ntheta0)) gives the maximum kx, kx_indexed moves the kxs out of box order.

So. remembering that jump is negative, phi(kx) is set equal phi(kx - jump * dkx) so the Lagrangian mode has moved to a lower kx. So get the Eulerian index, one starts with the Lagrangian index, and adds jump (which is negative!). This, however, must be done with indexes that are in the physical (not box) order. So this function first moves the indexes out of box order, then adds jump, then moves them back into box order so that the index returned will give the correct kx from the GS2 array.

Raises:

  • (ArgumentError) 


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# File 'lib/gs2crmod/gsl_data.rb', line 1368

def eulerian_kx_index(options)
	#eputs "Start eulerian_kx_index"
	lagrangian_kx_index = options[:kx_index]
	phys = physical_kx_index(lagrangian_kx_index)
	#ep 'jump', jump(options)
	index = phys + jump(options)
	raise ArgumentError.new("Lagrangian kx out of range") if index <= 0
	box= box_kx_index(index)
	#eputs "End eulerian_kx_index"
	return box
end

#generate_component_runs ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 313

def generate_component_runs
  @component_runs = []
  logf(:generate_component_runs)
  return if @grid_option == "single" and @scan_type == "none"
  begin
    list(:ky) # This will fail unless the run has output the netcdf file
  rescue
    return
  end
  return unless @status == :Complete #and @converged
  log(@run_name)
  if @grid_option == "box" and @nonlinear_mode == "off"
    @ky = nil
#     raise CRFatal.new("no @ky_list") unless @ky_list
#     log list(:ky)
    list(:ky).each do |id, ky|
      component_run = create_component #self.dup
      component_run.ky = ky
      component_run.gamma_r = @growth_rates[ky]
      component_run.gamma_i = @real_frequencies[ky]
      log @runner.component_ids
#       log('@runner.class', @runner.class)
#       @runner.add_component_run(component_run)
    end
  elsif (not gryfx?) and @scan_type and @scan_type != "none"
    t = gsl_vector('t')
    scan_vals = gsl_vector('scan_parameter_value')
    current = scan_vals[0]
    start = 0
    for i in 0...t.size
      if scan_vals[i] != current
        component = create_component
        component.scan_index_window = [start+1, i] #remember indexes are elements + 1
        #ep 'scan_index_window', component.scan_index_window
        component.scan_parameter_value = current
        component.growth_rate_at_ky = nil
        component.growth_rate_at_kx = nil
        component.growth_rate_at_ky_at_kx = nil
        component.calculate_results
        current = scan_vals[i]
        start = i
      end
    end
  end
end

#generate_input_file(&block) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 804

def generate_input_file(&block)
  raise CRFatal("No Input Module File Given or Module Corrupted") unless methods.include? (:input_file_text)
  run_namelist_backwards_compatibility
  if @restart_id and (not @is_a_restart or @resubmit_id)   # The second test checks that the restart function has not been called manually earlier (e.g. in Trinity), but we must check that it is not in fact a resubmitted run
    @runner.run_list[@restart_id].restart(self)
  elsif @save_for_restart and @save_for_restart.fortran_true? and (not @is_a_restart or @resubmit_id)
    @restart_dir = "nc"
    #if CODE_OPTIONS[:gs2] and CODE_OPTIONS[:gs2][:list]
      #FileUtils.makedirs "#{@runner.root_folder}/#@restart_dir"
    #else
      FileUtils.makedirs @restart_dir
    #end
    @restart_file = "#@run_name.nc"

  end

  # Let Gs2 know how much wall clock time is available. avail_cpu_time is a GS2 input parameter.
  @avail_cpu_time = @wall_mins * 60 if @wall_mins

  #  Automatically set the number of  nodes to be the maximum possible without parallelising over x, if the user has left the number of nodes unspecified.

  set_nprocs


  if block
    ##### Allow the user to define their own pre-flight checks and changes
    instance_eval(&block)
  else
    ######### Check for errors and inconsistencies
    check_parameters
    #########
  end


  write_input_file
  
  ######### Generate a report using the ingen tool if possible
  ingen unless block
  ########
end

#get_completed_timesteps ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 380

def get_completed_timesteps
  #raise CRFatal.new("Couldn't find outfile #{@run_name}.out") unless FileTest.exist?(@run_name + ".out")
  #p 'try to get completed_timesteps', Dir.pwd, 'nwrite', @nwrite, 'delt', @delt
  @completed_timesteps = (list(:t).size - 1) * (@nwrite || 1)
  #p 'tried to get completed_timesteps'
  #rescue
  #`grep time= #@run_name.out`.split.size
#   File.read("#@run_name.out").scan(/^\s+time\s*=\s+/).size * @nwrite
end

#get_list_of(*args) ⇒ Object Also known as: list 



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# File 'lib/gs2crmod/gs2.rb', line 461

def get_list_of(*args)
  #args can be any list of e.g. :ky, :kx, :theta, :t ...
  logf(:get_list_of)
  refresh = args[-1] == true ? true : false
  args.pop if args[-1] == true
  logd
  Dir.chdir(@directory) do
    args.each do |var|
#       eputs "Loading #{var}"
      list_name = var + :_list
      log list_name

#       self.class.send(:attr_accessor, list_name)
      next if (cache[list_name] and [:Failed, :Complete].include? status and not refresh)

      cache[list_name] = {}
      if netcdf_file.var(var.to_s)
        netcdf_file.var(var.to_s).get.to_a.each_with_index do |value, element|
  #         print '.'
          cache[list_name][element+1]=value
        end

      else
        netcdf_file.dim(var.to_s).length.times.each do |element|
          cache[list_name][element+1]='unknown'
        end
      end

#     eputs send(var+:_list)
    end
  end
  logfc :get_list_of
  return cache[args[0] + :_list] if args.size == 1
end

#get_run_time ⇒ Object

Try to read the runtime in minutes from the GS2 standard out.



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# File 'lib/gs2crmod/gs2.rb', line 284

def get_run_time
  logf(:get_run_time)
  output = @output_file || try_to_get_output_file
  return nil unless output
  begin
    Regexp.new("total from timer is:\\s*#{LongRegexen::NUMBER}", Regexp::IGNORECASE).match FileUtils.tail(output, 300)
    logi $~
    @run_time = $~[:number].to_f
  rescue
    @run_time = nil
  end
end

#get_status ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 666

def get_status
#   eputs 'Checking Status'
  logf(:get_status)

  Dir.chdir(@directory) do
    if @running
      if FileTest.exist?(@run_name + ".out") and FileUtils.tail(@run_name + ".out", 5).split(/\n/).size > 4 and FileUtils.tail(@run_name + ".out", 200) =~ /t\=/
        @status = :Incomplete
      else
        @status = :NotStarted
      end

    else
      if FileTest.exist?(@run_name + ".out") and FileUtils.tail(@run_name + ".out", 5).split(/\n/).size > 4
        #eputs "HERE", @scan_type
        if  @nonlinear_mode == "off" and FileUtils.tail(@run_name + ".out",200) =~ /omega converged/
          eputs 'Omega converged...'
          @status = :Complete
        elsif @scan_type and @scan_type != "none" and FileUtils.tail(@run_name + ".par_scan",200) =~ /scan\s+is\s+complete/i
          eputs 'Scan complete...'
          @status = :Complete
        elsif @nonlinear_mode == "on" or !@omegatol or @omegatol < 0.0 or (@exit_when_converged and @exit_when_converged.fortran_false?)
            eputs 'No omegatol'
          if FileTest.exist?(@run_name + ".out.nc")
            #p ['pwd', Dir.pwd, netcdf_file, netcdf_file.dim('t'), netcdf_file.dims]
            if netcdf_file.dim('t').length > 0
              get_completed_timesteps
            else
              @status = :Failed
              return
            end
          else
            eputs "Warning: no netcdf file #@run_name.out.nc"
            @status = :Failed
            return
          end
            #ep "completed_timesteps", @completed_timesteps
          eputs "#{percent_complete}% of Timesteps Complete"
          if percent_complete >= 100.0
            @status = :Complete
          elsif percent_complete > 5 and FileUtils.tail(output_file, 200) =~ /total from timer is/
            @status = :Complete
          else
            @status = :Failed
          end
        else
          @status = :Failed
        end
      else
        @status=:Failed
      end
    end
  end
end

#get_time ⇒ Object

Raises:

  • (CRFatal) 


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# File 'lib/gs2crmod/gs2.rb', line 361

def get_time
  begin
    lt = list(:t)
    return lt.values.max if lt.size>0
  rescue
  end
  time = nil
#   eputs   File.readlines(@run_name +".out").slice(-4..-1).reverse.join( "\n"); gets
  raise CRFatal.new("Couldn't find outfile #{@run_name}.out") unless FileTest.exist?(@run_name + ".out")
  tail = FileUtils.tail("#@run_name.out", 4)
  #File.readlines(@run_name +".out").slice(-4..-1).reverse.join( "\n")
  tail.sub(LongRegexen::FLOAT) do
#     eputs $~.inspect
    time =   $~[:float].to_f
  end  #if FileTest.exist? (@run_name +".out")
  #raise CRFatal.new("couldn't get the time from #{tail}") unless time
  @time = time
end

#graphkit(name, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/graphs.rb', line 196

def graphkit(name, options={})
	logf :graphkit
	# If an array of t, kx or ky values is provided, plot one graph for each value and then sum the graphs together
	[:t, :kx, :ky, :X, :Y, :e, :l, :theta].each do |var|
		#ep 'index', var
		if options[var].class == Symbol and options[var] == :all
			options[var] = list(var).values
		elsif options[var+:_index].class == Symbol and options[var+:_index] == :all
			#ep 'Symbol'
			options[var+:_index] = list(var).keys
		end
		if options[var].class == Array
			return options[var].map{|value| graphkit(name, options.dup.absorb({var =>  value}))}.sum
		elsif options[var+:_index].class == Array
			#ep 'Array'
			return options[var+:_index].map{|value| graphkit(name, options.dup.absorb({var+:_index =>  value}))}.sum
		end
		if options[var].class == Symbol and options[var] == :max
			options[var] = list(var).values.max
		elsif options[var+:_index].class == Symbol and options[var+:_index] == :max
			ep 'Symbol'
			options[var+:_index] = list(var).keys.max
		end
	end
	options[:t_index] ||= options[:frame_index]  if options[:frame_index]

	



	# Smart graphkits are defined in the file read_netcdf
	if name =~ /^cdf_/
		return smart_graphkit(options + {graphkit_name: name})
	elsif name =~ /^nc_/
		return old_smart_graphkit(options + {graphkit_name: name})
	end

	# If a method from the new GraphKits module can generate this graphkit use it 
	if method = self.class.instance_methods.find{|meth| (name + '_graphkit').to_sym == meth}
		options[:graphkit_name] = name
		return send(method, options)
	end

	raise "Graph #{name} not found"
	
end

#gridpoints ⇒ Object

A hash which gives the actual numbers of gridpoints indexed by their corresponding letters in the layout string.



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# File 'lib/gs2crmod/ingen.rb', line 329

def gridpoints
  gridpoints = {'l' => @ngauss, 'e' => @negrid, 's' => @nspec}
  if @grid_option == "single"
    gridpoints.absorb({'x'=>1, 'y'=>1})
  else
    gridpoints.absorb({'x' => (@ntheta0 or (2.0 * (@nx - 1.0) / 3.0  + 1.0).floor),  'y' => (@naky or ((@ny - 1.0) / 3.0  + 1.0).floor)})
  end
  return gridpoints
end

#gryfx? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/gs2crmod/gs2.rb', line 67

def gryfx?
  false
end

#gsl_complex(name, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1416

def gsl_complex(name, options={})
	options = eval(options) if options.class == String
# 	p @directory
	Dir.chdir(@directory) do
# 		eputs Dir.pwd
		case name
		when /correcting_phase/
# 			options.convert_to_index(self, :ky)
# 			theta0 = (options[:theta0] or 0)
# # 			p 'options[:ky_index]', options[:ky_index]
# 			phase_array = NumRu::NetCDF.open("#@directory/#@run_name.out.nc").var('phase').get({"start" => [0, options[:ky_index] - 1, theta0], 'end' => [1, options[:ky_index] - 1, theta0] }).to_a.flatten
# 			p 'phase_array', phase_array
# 			thetaelement0 = (list(:theta).key(0.0) - 1).to_i
# 			p 'list(:theta)[thetaelement0 + 1]', list(:theta)[thetaelement0 + 1]
# 			p 'thetaelement0', thetaelement0
# 			p 'theta0 - jump(options)', theta0 - jump(options) % @jtwist
# 			p 'list(:kx)[2] * (theta0 - jump(options)%@jtwist)', list(:kx)[2] * (theta0 - jump(options)%@jtwist)
# 			kx_element = list(:kx).key(list(:kx)[2] * (theta0 - jump(options)%@jtwist)) - 1  
# 			at_0 = NumRu::NetCDF.open("#@directory/#@run_name.out.nc").var('phi').get({"start" => [0, thetaelement0, kx_element, options[:ky_index] - 1], 'end' => [1, thetaelement0, kx_element, options[:ky_index] - 1] }).to_a.flatten
# 			p 'at_0', at_0
# 			at_0 = GSL::Complex.alloc(at_0)
# 			p 'at_0', at_0
# 			return (at_0 / at_0.mag).conj
# # 			pp 'theta0', theta0
# # 			pp phase_array[5][theta0]
# 			return GSL::Complex.alloc(phase_array)
# # 			new_options = options.dup
# 			new_options[:imrc] = :real
# 			thetas = gsl_vector('theta_along_field_line', new_options)
# 			at_0 = gsl_vector_complex('phi_along_field_line', new_options)[.to_a.index(0.0)]
# 			p at_0
			exit
		else
			raise CRError.new("Unknown gsl_complex requested: #{name}")
		end
	#  			eputs data; gets
	end
end

#gsl_matrix(name, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1083

def gsl_matrix(name, options={})
	options = eval(options) if options.class == String
	if options[:saturated_time_average] or options[:sta]
		raise "Not Saturated" unless @saturation_time_index
		tmax = list(:t).keys.max
		return ((@saturation_time_index..tmax).to_a.map do |t_index|
			gsl_matrix(name, options.dup.absorb({t_index: t_index, saturated_time_average: nil, sta: nil}))
		end).sum / (list(:t).values.max - list(:t)[@saturation_time_index])
	end
	if method = self.class.instance_methods.find{|meth| (name + '_gsl_matrix').to_sym == meth}
			options[:graphkit_name] = name
			return send(method, options)
	end
end

#gsl_tensor(name, options) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data_3d.rb', line 132

def gsl_tensor(name, options)
	tensor = send((name.to_s+"_gsl_tensor").to_sym , options)
end

#gsl_vector(name, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 122

def gsl_vector(name, options={})
  Dir.chdir(@directory) do
		options[:t_index_window] ||= @scan_index_window
		options.setup_time_window
		if [:ky, :kx].include? name.to_sym
			vec = fix_norm(
				GSL::Vector.alloc(netcdf_file.var(name.to_s).get.to_a.sort),
				-1, options
			) # ky, ky are normalised to 1 / rho_i
			if i = options[:interpolate_ + name.to_s.sub(/k/, '').to_sym]
				if name.to_sym == :ky
					s = (vec.size - 1)*i + 1
					#return vec.connect(GSL::Vector.alloc((vec.size-1)*(i-1)) * 0.0)
					return (0...s).map{|k| k.to_f * vec[1]}.to_gslv
				else
					size = vec.size
					#vec = vec.to_box_order
					raise "Hmmm, kx.size should be odd" unless size%2 == 1
					s = (size-1)/2 * i
					return (-s..s).to_a.map{|i| i.to_f * vec.to_box_order[1]}.to_gslv
					#new_vec = GSL::Vector.alloc((s-1)*i + 1)
					#new_vec *= 0.0
					#for j in 0...((s-1)/2+1)
						#new_vec[j] = vec[j]
					#end
					#for j in 0...((s-1)/2)
						#new_vec[-j-1] = vec[-j-1]
					#end
					#return new_vec.from_box_order
				end


			else
				return vec
			end
	  elsif [:theta].include? name.to_sym
			#ep options; gets
			#vec = GSL::Vector.alloc(netcdf_file.var(name.to_s).get({'start' => [options[:thetamin]||0], 'end' => [options[:thetamax]||-1]}).to_a)
			vec = GSL::Vector.alloc(netcdf_file.var(name.to_s).get.to_a)
			if gryfx? and options[:periodic]
				#vec = vec.connect([2.0*vec[-1] - vec[-2]].to_gslv)
				vec = vec.connect([-vec[0]].to_gslv)
			end
			if ith = options[:interpolate_theta]
				osize = vec.size
				newsize = (osize-1)*ith+1
				newvec = GSL::Vector.alloc(newsize)
				newvec[newsize-1] = vec[osize-1]# * ith.to_f
				for i in 0...(newsize-1)
					im = i%ith
					frac = im.to_f/ith.to_f
					#iold = (i-im)/(new_shape[-1]-1)*(shape[-1]-1)
					iold = (i-im)/ith
					newvec[i] =  (vec[iold] * (1.0-frac) + vec[iold+1] * frac)
				end
				vec = newvec
			end
			start = options[:thetamin]||0
			endv = options[:thetamax]||vec.size-1
			#ep ['options', options, 'vec.size', vec.size]
			vec = vec.subvector(start, (endv-start+1)).dup
			return vec
		elsif name.to_sym == :t
			#options.setup_time_window
			t = GSL::Vector.alloc(netcdf_file.var(name.to_s).get('start' => [options[:begin_element]], 'end' => [options[:end_element]]).to_a)
			t = t - t[0] if options[:sync_time]
			return fix_norm(t, -1, options) # t is normalised to a/v_thi
		end
		options = eval(options) if options.class == String
		if options[:saturated_time_average] or options[:sta]
			raise "Not Saturated" unless @saturation_time_index
			tmax = list(:t).keys.max
			return ((@saturation_time_index..tmax).to_a.map do |t_index|
				gsl_vector(name, options.dup.absorb({t_index: t_index, saturated_time_average: nil, sta: nil}))
			end).sum / (list(:t).values.max - list(:t)[@saturation_time_index])
		elsif options[:time_average] or options[:ta]
			tmax = list(:t).keys.max
			start_t = 2
			return ((start_t..tmax).to_a.map do |t_index|
				gsl_vector(name, options.dup.absorb({t_index: t_index, time_average: nil, ta: nil}))
			end).sum / (list(:t).values.max - list(:t)[start_t])
		end
		if method = self.class.instance_methods.find{|meth| (name + '_gsl_vector').to_sym == meth}
			options[:graphkit_name] = name
			return send(method, options)
		end
	end
	raise "GSL Vector #{name} not found"
end

#gsl_vector_complex(name, options = {}) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1011

def gsl_vector_complex(name, options={})
	options = eval(options) if options.class == String

		if method = self.class.instance_methods.find{|meth| (name + '_gsl_vector_complex').to_sym == meth}
			options[:graphkit_name] = name
			return send(method, options)
		end
end

#has_electrons? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/gs2crmod/properties.rb', line 16

def has_electrons?
	return @nspec.times.inject(false){|bool,  i| bool or send(:type_ + i.to_sym) =~ /electrons/i}
end

#hypercoll_graphkit(options) ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 233

def hypercoll_graphkit(options)
  case options[:command]
  when :help
    "Plot of the effect of hypercollisions"
  when :options
    return []
  else
    raise "This only works for spectrogk"  unless spectrogk?
    options[:modify_variable] = Proc.new do |varname, narray, dimhash|
      #dimnames = dimhash.keys
      p varname, dimhash
      if  varname == "gnew2_ta"
        shape = narray.shape
        m = dimhash['m']
        mmax = new_netcdf_file.var('hermite').get.to_a.size - 1
        p 'shape',shape
        for ig in 0...shape[0]
          for it in 0...shape[1]
            for ik in 0...shape[2]
              for il in 0...shape[3]
                for ie in 0...shape[4]
                  for is in 0...shape[5]
                    narray[ig,it,ik,il,ie,is]*=send(:nu_h_ + (is+1).to_sym)*(m[il]/mmax)**send(:nexp_h_ + (is+1).to_sym)
                  end
                end
              end
            end
          end
        end
      end
      narray
    end
    options[:graphkit_name] = 'cdf_gnew2_ta'
    return smart_graphkit(options)
  end
end

#hyperviscosity_graphkit(options) ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 196

def hyperviscosity_graphkit(options)
  case options[:command]
  when :help
    "Plot of the effect of hyperviscosity"
  when :options
    return []
  else
    raise "This only works for spectrogk"  unless spectrogk?
    options[:modify_variable] = Proc.new do |varname, narray, dimhash|
      #dimnames = dimhash.keys
      shape = narray.shape
      if  varname == "gnew2_ta"
        #p dimhash
        #p dimhash['Y']
        ky = dimhash['Y'].to_a.to_gslv
        kx = dimhash['X'].to_a.to_gslv
        shape = narray.shape
        for ig in 0...shape[0]
          for it in 0...shape[1]
            for ik in 0...shape[2]
              for il in 0...shape[3]
                for ie in 0...shape[4]
                  for is in 0...shape[5]
                    narray[ig,it,ik,il,ie,is]*=(ky[ik]**2.0 + kx[it]**2.0)**(2*@nexp)*@d_hypervisc
                  end
                end
              end
            end
          end
        end
      end
      narray
    end
    options[:graphkit_name] = 'cdf_gnew2_ta'
    return smart_graphkit(options)
  end
end

#incomplete ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 390

def incomplete
  return (not 100 == percent_complete)
end

#ingen ⇒ Object

Run the ingen tool on the input file



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# File 'lib/gs2crmod/ingen.rb', line 356

def ingen
  Dir.chdir(@directory) do
    ing = File.dirname(File.expand_path(@executable)) + '/ingen'
    success = system "#{ing} #@run_name.in"
    warning("Could not run ingen... make sure that ingen is in the same folder as @executable and can be run on the login nodes if you want this to work") unless success
  end
end

#input_file_extension ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1262

def input_file_extension
  '.in'
end

#input_file_header ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 918

def input_file_header
    run_namelist_backwards_compatibility
  <<EOF
!==============================================================================
!     GS2 INPUT FILE automatically generated by CodeRunner
!==============================================================================
!
!  GS2 is a gyrokinetic flux tube initial value turbulence code
!  which can be used for fusion or astrophysical plasmas.
!
!   See http://gyrokinetics.sourceforge.net
!
!  CodeRunner is a framework for the automated running and analysis
!  of large simulations.
!
!   See http://coderunner.sourceforge.net
!
!  Created on #{Time.now.to_s}
!      by CodeRunner version #{CodeRunner::CODE_RUNNER_VERSION.to_s}
!
!==============================================================================

EOF
end

#jump(options) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1321

def jump(options)
#	ep 'kx_shift',  kx_shift(options)
	jump =  ((kx_shift(options) / list(:kx)[2]).round)
	case options[:t_index]
	when 1
		return jump
	else
		if @g_exb and @g_exb.abs > 0
			return jump + 1
		else
			return 0
		end
	end
end

#kx_indexed ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1380

def kx_indexed
	return cache[:kx_indexed] if cache[:kx_indexed]
	#kx = cache[:kx_array] ||= gsl_vector('kx').to_a
	#kxphys = kx.from_box_order
	#min_index = kx.min_index + 1
	#cache[:kx_indexed] ||= kx.size.times.inject({}) do |hash, kx_element|
		#hash[kx_element + 1] = kxphs
	kx = gsl_vector('kx')
	size = kx.size
	box =  GSL::Vector::Int.indgen(size) + 1
	zero_element = kx.abs.min_index
	phys = box.subvector(zero_element, size-zero_element).connect(box.subvector(0, zero_element))
	cache[:kx_indexed] = [phys.to_a, box.to_a].transpose.inject({}){|hash, (phys, box)| hash[phys] = box; hash}
end

#kx_shift(options) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1314

def kx_shift(options)
#	ep options
	return 0 unless @g_exb and @g_exb.abs > 0.0
	#p options
	return - list(:ky)[options[:ky_index]] * list(:t)[(options[:t_index] or list(:t).keys.max)] * @g_exb
end

#latex_graphs ⇒ Object

This section defines a selection of graphs which are written to a latex file when the CR function write_report is called. To add your own, simply copy one a similar looking graph and modify it to your needs. The requirements to use the latex report writing is further specified in CodeRunner.



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# File 'lib/gs2crmod/gs2.rb', line 1419

def latex_graphs
  #will have a different set of graphs to look at depending on whether linear or nonlinear
  if @nonlinear_mode == "off"
    #make up a list of graphs that are to be included. The order of the arguments is [code to generate graphkit, LaTeX description and ]
    graphs = [
      #[(kit = phi2_by_mode_vs_time({kx_index:1, ky_index:1}); kit.xlabel=%[TEST]; kit.gp.term = "post eps color enhanced size 3.5in,2.33in"; kit.gp.output = "test.eps"; kit), "This is a test graph written into a \LaTeX file. \n\n \\myfigure{test.eps}"]
      [(kit = phi2tot_vs_time_graphkit; kit.data[0].title=""; kit.gp.logscale="y"; kit.file_name = "phi2tot.eps"; kit), "Total $\\phi^2$ versus time."],
      [(kit = growth_rate_vs_ky_graphkit; kit.data[0].title=""; kit.file_name = "growth_rate_vs_ky.eps"; kit), "Growth rate $\\gamma_E$ as a function of $k_y$ averaged over $k_x$ (if applicable)."],
      if @grid_option=="range" then [(kit = graphkit('efnmag', {norm:true, kx_index:1, ky_index: :all}); kit.data.each{|dk| dk.title=""}; kit.gp.logscale="y"; kit.file_name = "efnmag.eps"; kit.data.shift; kit), "Normalized magnitude of the eigenfunction as a function of $\\theta$ for all $k_y$'s in the simulation."] end,
      if @grid_option=="single" then [(kit = graphkit('efnmag', {norm:true, kx_index:1, ky_index:1}); kit.data.each{|dk| dk.title=""}; kit.gp.logscale="y"; kit.file_name = "efnmag.eps"; kit), "Normalized magnitude of the eigenfunction as a function of $\\theta$ for all $k_y$'s in the simulation."] end,
    ].compact
  else
    graphs = [
      [(kit = ky_spectrum_graphkit; kit.gp.logscale="y"; kit.file_name = "ky_spectrum.eps"; kit), "$k_y$ spectrum at the final time step averaged over $k_x$."],
      [(kit = kx_spectrum_graphkit; kit.gp.logscale="y"; kit.file_name = "kx_spectrum.eps"; kit), "$k_x$ spectrum at the final time step averaged over $k_y$."],
      [(kit = spectrum_graphkit(no_zonal:true); kit.gp.view="map"; kit.gp.logscale="z"; kit.file_name = "spectrum.eps"; kit), "2D spectrum versus $k_x$ and $k_y$ without zonal flows."],
      [(kit = hflux_tot_vs_time_graphkit; kit.file_name = "hflux_tot_vs_time.eps"; kit), "Total heat flux $Q_{tot}$ as a function of time."],
      [(kit = es_heat_flux_vs_time_graphkit(species_index:1); kit.file_name = "es_heat_1_vs_time.eps"; kit), "Heat flux of species 1 versus time."],
      if @nspec > 1 then [(kit = es_heat_flux_vs_time_graphkit(species_index:2); kit.file_name = "es_heat_2_vs_time.eps"; kit), "Heat flux of species 2 versus time."] end,
      [(kit = es_heat_vs_ky_graphkit(species_index:1); kit.gp.logscale="y" ; kit.file_name = "es_heat_1_vs_ky.eps"; kit), "Heat flux of species 1 as a function of $k_y$."],
      if @nspec > 1 then [(kit = es_heat_vs_ky_graphkit(species_index:2); kit.gp.logscale="y" ; kit.file_name = "es_heat_2_vs_ky.eps"; kit), "Heat flux of species 2 as a function of $k_y$."] end,
      [(kit = es_heat_vs_ky_vs_kx_graphkit; kit.gp.view="map" ; kit.file_name = "es_heat_vs_ky_vs_kx.eps"; kit), "2D total heat flux spectrum as a function of $k_x$ and $k_y$."],
      [(kit = phi_real_space_graphkit(n0:1, thetamin:get_list_of(:theta).length/2, thetamax:get_list_of(:theta).length/2, gs2_coordinate_factor:1.0); kit.gp.view="map" ; kit.file_name = "phi_real_space.eps"; kit), "Potential fluctuations at the final time step vs GS2 $x$ and $y$ at the outboard midplane."],
      [(kit = density_real_space_graphkit(n0:1, species_index:1, thetamin:get_list_of(:theta).length/2, thetamax:get_list_of(:theta).length/2, gs2_coordinate_factor:1.0); kit.gp.view="map" ; kit.file_name = "density_real_space.eps"; kit), "Density fluctuations for species 1 at the final time step vs GS2 $x$ and $y$ at the outboard midplane."],
      if @nspec > 1 then [(kit = density_real_space_graphkit(n0:1, species_index:2, thetamin:get_list_of(:theta).length/2, thetamax:get_list_of(:theta).length/2, gs2_coordinate_factor:1.0); kit.gp.view="map" ; kit.file_name = "density_real_space.eps"; kit), "Density fluctuations for species 2 at the final time step vs GS2 $x$ and $y$ at the outboard midplane."] end,
      [(kit = es_mom_flux_vs_time_graphkit(species_index:1); kit.file_name = "es_mom_flux_1_vs_time.eps"; kit), "Momentum flux for species 1 as a function of time."],
      if @nspec > 1 then [(kit = es_mom_flux_vs_time_graphkit(species_index:2); kit.file_name = "es_mom_flux_2_vs_time.eps"; kit), "Momentum flux for species 2 as a function of time."] end,
      [(kit = zonal_spectrum_graphkit; kit.gp.logscale="y"; kit.file_name = "zonal_spectrum.eps"; kit), "Zonal spectrum at the final time step."],
    ].compact
  end

end

#lenardbern_graphkit(options) ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 269

def lenardbern_graphkit(options)
  case options[:command]
  when :help
    "Plot of the effect of Lenard Bernstein collisions"
  when :options
    return []
  else
    raise "This only works for spectrogk"  unless spectrogk?
    options[:modify_variable] = Proc.new do |varname, narray, dimhash|
      #dimnames = dimhash.keys
      if  varname == "gnew2_ta"
        m = dimhash['m']
        shape = narray.shape
        for ig in 0...shape[0]
          for it in 0...shape[1]
            for ik in 0...shape[2]
              for il in 0...shape[3]
                for ie in 0...shape[4]
                  for is in 0...shape[5]
                    narray[ig,it,ik,il,ie,is]*=send(:nu_ + (is+1).to_sym)*m[il]
                  end
                end
              end
            end
          end
        end
      end
      narray
    end
    options[:graphkit_name] = 'cdf_gnew2_ta'
    kit = smart_graphkit(options)
    return kit
  end
end

#list_of_restart_files ⇒ Object Also known as: lorf

Return a list of restart file paths (relative to the run directory).



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# File 'lib/gs2crmod/gs2.rb', line 577

def list_of_restart_files
  Dir.chdir(@directory) do
    files = Dir.entries.grep(/^\.\d+$/)
    files = Dir.entries.grep(/\.nc(?:\.\d|_ene)/) if files.size == 0
    if files.size == 0
      (Dir.entries.find_all{|dir| FileTest.directory? dir} - ['.', '..']).each do |dir|
        files = Dir.entries(dir).grep(/\.nc(?:\.\d|_ene)/).map{|file| dir + "/" + file}
        break if files.size == 0
      end
    end #if files.size == 0
    # This just finds a .nc file (w/o a number) in the nc folder if using single restart file
    if files.size == 0
        files = Dir.entries('nc').grep(/\.nc/).map{|file| 'nc' + "/" + file}
    end #if files.size == 0
    return files
  end # Dir.chdir(@directory) do
end

#max_es_heat_amp(species_index) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 736

def max_es_heat_amp(species_index)
	@transient_es_heat_flux_amplification_at_species_at_ky[species_index-1].values.max
end

#max_nprocs_no_x ⇒ Object

ep parallelisation



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# File 'lib/gs2crmod/ingen.rb', line 345

def max_nprocs_no_x
  parallelisation = cumulative_gridpoints
  parallelisation[parallelisation.keys[parallelisation.keys.index('x') - 1]]
end

#max_trans_phi ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 730

def max_trans_phi
	phivec = gsl_vector('phi2tot_over_time')
	offset = 30
	phivec.subvector(20, phivec.size - 20).max
end

#namelist_test_failed(namelist, tst) ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 38

def namelist_test_failed(namelist, tst)
  return  <<EOF

---------------------------
  Test Failed
---------------------------

Namelist: #{namelist}
Test: #{tst[:test]}
Explanation: #{tst[:explanation]}

---------------------------
EOF

end

#ncclose ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 54

def ncclose
	cache[:netcdf_file].close
	cache.delete(:netcdf_file)
end

#ncdump(names = nil, values = nil, extension = '.out.nc') ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 304

def ncdump(names=nil, values=nil, extension = '.out.nc')
  names = [names] unless !names or names.class == Array
  names.map!{|name| name.to_s} if names
  pp NumRu::NetCDF.open(@run_name + extension).vars(names).to_a.sort{|var1, var2| var1.name <=> var2.name}.map{|var| values ? [var.name, var.send(values)] : var.name.to_sym}
end

#netcdf_file ⇒ Object

def gsl_vector(name, options={}) if options or options or not [:Failed, :Complete].include? status return get_gsl_vector(name, options) else return cache[[:gsl_vector, name, options]] ||= get_gsl_vector(name, options) end end



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# File 'lib/gs2crmod/gsl_data.rb', line 32

def netcdf_file
	#if @runner.cache[:runs] and (open = @runner.cache[:runs].keys.find_all{|id| @runner.cache[:runs][id][:netcdf_file]}).size > 200
	#ep "my id", id
	if (open = @runner.run_list.keys.find_all{|id|  @runner.run_list[id].cache[:netcdf_file]}).size > 200
		open = open.sort_by{|id| @runner.run_list[id].cache[:netcdf_file_otime]}
		@runner.run_list[open[0]].ncclose
	end

	if cache[:netcdf_file] and not [:Complete, :Failed].include? @status
		ncclose
	end
	cache[:netcdf_file_otime] = Time.now.to_i
	cache[:netcdf_file] ||= NumRu::NetCDF.open(netcdf_filename)
	cache[:netcdf_file].sync
	cache[:netcdf_file]
end

#netcdf_filename ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 49

def netcdf_filename
	@directory + '/' +  @run_name + '.out.nc'
end

#netcdf_smart_reader ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 171

def netcdf_smart_reader
  NetcdfSmartReader.new(new_netcdf_file)
end

#no_restarts ⇒ Object

Returns true if this run has not been restarted, false if it has. This allows one to get data from the final run of a series of restarts.

Raises:

  • (NoRunnerError) 


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# File 'lib/gs2crmod/gs2.rb', line 641

def no_restarts
  raise NoRunnerError unless @runner
  !(@runner.runs.find{|run| run.restart_id == @id})
end

#old_smart_graphkit(options) ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 185

def old_smart_graphkit(options)
  case options[:command]
  when :help
    "An old smart graphkit is a direct plot of a given variable from the old netcdf file. The name of the graphkit is the name of the variable prefixed by 'nc_'. To plot, for example, the heat flux vs time, you would give the graph name nc_hflux_tot. You can use index specifiers in the the options; for example, to plot the potential as a function of kx and ky for a given time index, you would use the graph name nc_phi2_by_mode, and the options {t_index: n}. To plot the potential as function of kx for a given ky and time would use the options {t_index, n, ky_index: m}. For each dimension you can specify the index, or a minium and/or maximum."
  when :options
    [:kx_index, :ky_index, :t_index, :e_index, :l_index, :s_index, :kxmax, :kxmin, :kx_element]
  else
   return OldNetcdfSmartReader.new(netcdf_file).graphkit(options[:graphkit_name].sub(/^nc_/, ''), options)
  end
end

#optimisation_flags ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 307

def optimisation_flags
  [
    :opt_redist_persist,
    :opt_redist_persist_overlap,
    :opt_redist_nbk,
    :opt_redist_init,
    :intmom_sub,
    :intspec_sub,
    #:local_field_solve,
    :do_smart_update,
    :field_subgath,
    :field_option,
    :field_local_allreduce,
    :field_local_allreduce_sub,
    :minnrow,
    :opt_init_bc,
    :opt_source
  ]
end

#parallelizable_meshpoints ⇒ Object

Gives a guess as to the maximum number of meshpoints which can be parallelized (i.e. excluding ntheta)



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# File 'lib/gs2crmod/gs2.rb', line 888

def parallelizable_meshpoints
  approximate_grid_size / ntheta
end

#parameter_string ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 904

def parameter_string
    return "#{@run_name}.in"
end

#parameter_transition(run) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 394

def parameter_transition(run)
end

#percent_complete ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 430

def percent_complete
  @completed_timesteps ? @completed_timesteps.to_f / @nstep.to_f * 100.0 : @percent_of_total_time
end

#physical_kx_index(box_kx_index) ⇒ Object 



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# File 'lib/gs2crmod/gsl_data.rb', line 1400

def physical_kx_index(box_kx_index)
	return kx_indexed.key(box_kx_index)
	kx = cache[:kx_gslv] ||= gsl_vector('kx')
	return kx.from_box_order.to_a.index(kx[box_kx_index-1]) + 1
	#kx = cache[:kx_gslv] ||= gsl_vector('kx')
	#index_of_min_kx = cache[:index_of_min_kx] ||= kx.min_index + 1 # kx.min_index returns a 0-based index
	#if box_kx_index < index_of_min_kx
		#box_kx_index + (1 + kx.size - index_of_min_kx)
	#else
		#box_kx_index - (index_of_min_kx - 1)
	#end
end

#plot_efit_file ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1117

def plot_efit_file
  Dir.chdir(@directory) do
    text = File.read(@eqfile)
    text_lines = text.split("\n")
    first_line = text_lines[0].split(/\s+/)
    second_line = text_lines[1].split(/\s+/)
    nr = first_line[-2].to_i
    nz = first_line[-1].to_i
    rwidth = second_line[1].to_f
    zwidth = second_line[2].to_f
    rmag = second_line[3].to_f
    nlines = (nr.to_f/5.0).ceil
    nlines_psi = ((nr*nz).to_f/5.0).ceil
    start = 5
    f = text_lines[start...(start+=nlines)].join(" ").split(nil).map{|s| s.to_f}.to_gslv
    pres = text_lines[(start)...(start += nlines)].join(" ").split(nil).map{|s| s.to_f}.to_gslv
    _ = text_lines[(start)...(start += nlines)].join(" ").split(nil).map{|s| s.to_f}.to_gslv
    _ffprime = text_lines[(start)...(start+= nlines)].join(" ").split(nil).map{|s| s.to_f}.to_gslv
    psi = text_lines[(start)...(start += nlines_psi)].join(" ")
    q = text_lines[(start)...(start += nlines)].join(" ").split(nil).map{|s| s.to_f}.to_gslv
    nbound = text_lines[start...start+=1].join(" ").to_i
    rz = text_lines[(start)...(start += nbound*2)].join(" ").split(/\s+/)
    rz.shift
    rbound, zbound, _ = rz.inject([[], [], true]){|arr,val| arr[2] ? [arr[0].push(val), arr[1], false] : [arr[0], arr[1].push(val), true]}
    #rbound.shift

    psi = psi.split(/\s+/)
    psi.shift
    psi.map!{|v| v.to_f}
    psi_arr = SparseTensor.new(2)
    k = 0
    for i in 0...nz
      for j in 0...nr
        psi_arr[j,i] = psi[k]
        k+=1
      end
    end
    kit = GraphKit.quick_create([((0...nr).to_a.to_gslv - nr/2 - 1 )/(nr-1)*rwidth+rmag, ((0...nz).to_a.to_gslv-nz/2 + 1)/(nz-1) * zwidth, psi_arr], [rbound, zbound, rbound.map{|r| 0}])
    kit.gp.contour = ""
    kit.gp.view = "map"
    #kit.gp.nosurface = ""
    kit.gp.cntrparam = "levels 20"
    kit.data[0].gp.with = 'l'
    kit.data[1].gp.with = 'l lw 2 nocontours'
    kit.gnuplot

    kit2 = GraphKit.quick_create([pres/pres.max],[f/f.max],[q/q.max])
    kit2.data[0].title = 'Pressure/Max Pressure'
    kit2.data[1].title = 'Poloidal current function/Max poloidal current function'
    kit2.data[2].title = 'Safety factor/Max Safety factor'
    kit2.gnuplot



    #p ['f', f, 'p', pres, 'ffprime', ffprime, 'nlines', nlines, 'psi', psi, 'q', q, 'nbound', nbound, 'rbound', rbound, 'zbound', zbound]


  end
end

#print_out_line ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 434

def print_out_line
  logf(:print_out_line)
  name = @run_name
  name += " (res: #@restart_id)" if @restart_id
  name += " real_id: #@real_id" if @real_id
  beginning = sprintf("%2d:%d %-60s %1s:%2.1f(%s) %3s%1s %1s",  @id, @job_no, name, @status.to_s[0,1],  @run_time.to_f / 60.0, @nprocs.to_s, percent_complete, "%", @converged.to_s)
  if @ky
    beginning += sprintf("%3s %4s %4s", @ky, @growth_rates[@ky], @real_frequencies[@ky])
  elsif @nonlinear_mode == "off"
      beginning += sprintf("%3s %4s %4s",
       @fastest_growing_mode, @max_growth_rate,
      @freq_of_max_growth_rate)
  elsif @nonlinear_mode == "on"
 #      p @hflux_tot_stav
    beginning += "       sat:#{saturated.to_s[0]}"
    beginning += sprintf(" hflux:%1.2e", @hflux_tot_stav) if  @hflux_tot_stav
    beginning += sprintf("+/-%1.2e", @hflux_tot_stav_error) if  @hflux_tot_stav_error
    beginning += sprintf(" momflux:%1.2e", @es_mom_flux_stav.values.sum) if @es_mom_flux_stav and @es_mom_flux_stav.values[0]
    beginning += '  SC:' + @spectrum_check.map{|c| c.to_s}.join(',') if @spectrum_check
    beginning += '  VC:' + @vspace_check.map{|c| sprintf("%d", ((c*10.0).to_i rescue -1))}.join(',') if @vspace_check
  end
  beginning += "  ---#{@comment}" if @comment
  beginning

end

#process_directory_code_specific ⇒ Object

This method, as its name suggests, is called whenever CodeRunner is asked to analyse a run directory.this happens if the run status is not :Complete, or if the user has specified recalc_all(-A on the command line) or reprocess_all (-a on the command line).

the structure of this function is very simple: first it calls get_status to determine the directory status, i.e. :Complete, :Incomplete, :NotStarted or :Failed, then it gets the time, which is the GS2 time at the end of the run, and it also gets the run_time, which is the wall clock time of the run. Finally,if non-linear mode is switched off, it calls calculate_growth_rates_and_frequencies, and if the non-linear mode is switched on, it calls calculate_time_averaged_fluxes.



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# File 'lib/gs2crmod/gs2.rb', line 230

def process_directory_code_specific
  run_namelist_backwards_compatibility

  unless @status == :Queueing
    get_status
  end

  eputs "Run #@status: #@run_name" if [:Complete,:Failed].include? @status

  try_to_get_error_file
  @sys = @@successful_trial_system

  return if @status == :NotStarted or @status == :Failed or @status == :Queueing
  begin
    percent_complete = get_completed_timesteps/@nstep
    @percent_of_total_time = percent_complete
  rescue
    get_time
    @percent_of_total_time = @time / (@delt*@nstep) * 100.0  rescue 0.0
  end
  return if @status == :Incomplete

  get_run_time

  calculate_results

end

#recheck ⇒ Object

class ListSubmitter



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# File 'lib/gs2crmod/gs2.rb', line 787

def recheck
  logf(:recheck)
  Dir.chdir(@directory) do
    logi('@runner.object_id', @runner.object_id)
    log('@runner.class',  @runner.class)
    #runner = @runner
    instance_variables.each{|var| instance_variable_set(var, nil) unless var == :@runner}
    begin File.delete(".code_runner_run_data") rescue Errno::ENOENT end
    begin File.delete("code_runner_results.rb") rescue Errno::ENOENT end
    logi(:@checked_converged, @checked_converged)
    logi('@runner.object_id after reset', @runner.object_id)
    log('@runner.class',  @runner.class)
    process_directory
  end
end

#renew_info_file ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1034

def renew_info_file
  Dir.chdir(@directory){make_info_file("#@run_name.in")}
end

#restart(new_run) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 528

def restart(new_run)
  #new_run = self.dup
  (rcp.variables).each{|v| new_run.set(v, send(v)) if send(v)}
  @naming_pars.delete(:preamble)
  SUBMIT_OPTIONS.each{|v| new_run.set(v, self.send(v)) unless new_run.send(v)}
  #(rcp.results + rcp.gs2_run_info).each{|result| new_run.set(result, nil)}
  new_run.is_a_restart = true
  new_run.ginit_option = "many"
  new_run.delt_option = "check_restart"
  #if Dir.entries(@directory).include? "nc"
    #old_restart_run_name =  (@restart_run_name or Dir.entries(@directory + '/nc').grep(/\.nc/)[0].sub(/\.nc\.\d+$/, ''))
    #new_run.restart_file = File.expand_path("#@directory/nc/#{old_restart_run_name}.nc")
  #else
    #new_run.restart_file = File.expand_path("#@directory/#@run_name.nc")
  #end
  new_run.restart_id = @id
  new_run.restart_run_name = @run_name
  @runner.nprocs = @nprocs if @runner.nprocs == "1" # 1 is the default so this means the user probably didn't specify nprocs
  raise "Restart must be on the same number of processors as the previous run: new is #{new_run.nprocs.inspect} and old is #{@nprocs.inspect}" if !new_run.nprocs or new_run.nprocs != @nprocs
#   @runner.parameters.each{|var, value| new_run.set(var,value)} if @runner.parameters
#   ep @runner.parameters
  new_run.run_name = nil
  new_run.naming_pars = @naming_pars
  new_run.update_submission_parameters(new_run.parameter_hash_string, false) if new_run.parameter_hash
  new_run.naming_pars.delete(:restart_id)
  new_run.generate_run_name
  eputs 'Copying Restart files', ''
  FileUtils.makedirs(new_run.directory + '/nc')
  #old_dir = File.dirname(@restart_file)
  new_run.restart_file = "#@run_name.nc" #+ File.basename(@restart_file) #.sub(/\.nc/, '')
  new_run.restart_dir = "nc"
  #files = Dir.entries(old_dir).grep(/\.nc(?:\.\d|_ene)/)
  #files = Dir.entries(old_dir).grep(/^\.\d+$/) if files.size == 0
  files = list_of_restart_files.map do |file|
    @directory + "/" + file
  end
  files.each_with_index do |file , index|
    eputs "\033[2A" # Terminal jargon - go back one line
    eputs "#{index+1} out of #{files.size}"
    num = file.scan(/(?:\.\d+|_ene)$/)[0]
    #FileUtils.cp("#{old_dir}/#{file}", "nc/#@restart_file#{num}")
    FileUtils.cp(file, new_run.directory + "/nc/#{new_run.restart_file}#{num}")
  end
  #@runner.submit(new_run)
  new_run
end

#restart_chain ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 647

def restart_chain
  if @restart_id
    return @runner.run_list[@restart_id].restart_chain
  end
  chain = []
  currid = @id
  loop do
    chain.push currid
    break unless (restrt = @runner.runs.find{|run| run.restart_id == currid})
    currid = restrt.id
  end
  return chain
end

#run_heuristic_analysis ⇒ Object

This method overrides a method defined in heuristic_run_methods.rb in the CodeRunner source. It is called when CodeRunner cannot find any of its own files in the folder being analysed. It takes a GS2 input file and generates a CodeRunner info file. This means that GS2 runs which were not run using CodeRunner can nonetheless be analysed by it. In order for it to be called the -H flag must be specified on the command line.

Raises:

  • (CRMild) 


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# File 'lib/gs2crmod/gs2.rb', line 1040

def run_heuristic_analysis
  ep 'run_heuristic_analysis', Dir.pwd
  infiles = Dir.entries.grep(/^[^\.].*\.in$/)
  ep infiles
  raise CRMild.new('No input file') unless infiles[0]
  raise CRError.new("More than one input file in this directory: \n\t#{infiles}") if infiles.size > 1
  input_file = infiles[0]
  ep 'asdf'
  @nprocs ||= "1"
  @executable ||= "/dev/null"
  make_info_file(input_file, false)
end

#run_namelist_backwards_compatibility ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1097

def run_namelist_backwards_compatibility
  SPECIES_DEPENDENT_VARIABLES.each do |var|
    set(var + "_1".to_sym, (send(var + "_1".to_sym) or send(var + "_i".to_sym) or send(var)))
    set(var + "_2".to_sym, (send(var + "_2".to_sym) or send(var + "_e".to_sym)))
  end
end

#run_namelist_tests(namelist, hash, enum = nil) ⇒ Object

Checks input parameters for inconsistencies and prints a report.



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# File 'lib/gs2crmod/ingen.rb', line 56

def run_namelist_tests(namelist, hash, enum = nil)
  ext = enum ? "_#{enum}" : ""
  hash[:must_pass].each do |tst|
    error(namelist_test_failed(namelist, tst)) unless instance_eval(tst[:test])
  end if hash[:must_pass]
  hash[:should_pass].each do |tst|
    warning(namelist_test_failed(namelist, tst)) unless instance_eval(tst[:test])
  end if hash[:should_pass]
  hash[:variables].each do |var, var_hash|
    #gs2_var = (var_hash[:gs2_name] or var)
    cr_var = var+ext.to_sym
    value = send(cr_var)
    if value.kind_of? Array
      value.each{|v| test_variable(namelist, var, var_hash, ext, v)}
    else
      test_variable(namelist, var, var_hash, ext, value)
    end
  end
end

#saturated_time_average(name, options) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 45

def saturated_time_average(name, options)
# 	calculate_saturation_time_index unless @saturation_time_index
# 	p 'sat', @saturation_time_index, 'max', list(:t).keys.max
	raise "saturation_time_index not calculated for #@run_name" unless @saturation_time_index
	options[:t_index_window] = [@saturation_time_index, list(:t).keys.max - 1]
	#ep gsl_vector(name, {}).size
	#ep name, options
	begin
		vec = gsl_vector(name, options)
	rescue GSL::ERROR::EINVAL
		# IF the vector doesn't have enough values for each timestep (due to run aborting early?), this error will be thrown.
		options[:t_index_window] = [@saturation_time_index, gsl_vector(name, {}).size]
		retry
	rescue NoMethodError
		eputs "Warning: could not calculate #{name} saturated time average"
		return nil
	end
	
		                                                               
		tvec = gsl_vector('t', options)

		                                                               
	dt = tvec.subvector(1, tvec.size - 1) - tvec.subvector(0, tvec.size - 1)
	trapezium = (vec.subvector(1, tvec.size - 1) + vec.subvector(0, tvec.size - 1)) / 2.0
	return trapezium.mul(dt).sum / dt.sum
end

#saturated_time_average_error(name, options) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 72

def saturated_time_average_error(name, options)
# 	calculate_saturation_time_index unless @saturation_time_index
	options[:t_index_window] = [@saturation_time_index, list(:t).keys.max]
	begin
		vec = gsl_vector(name, options)
		tavg = GSL::Vector.alloc(vec.size)
		vec.size.times.each{|i| tavg[i] = vec.subvector(i+1).mean}
	rescue NoMethodError
		eputs "Warning: could not calculate #{name} saturated_time_average_error"
		return nil
	end
# 	tavg = 0.0; i = 0
	
# 	tavg_vec = vec.collect{|val| tavg += val; tavg = tavg / (i+=1); tavg}
# 	ind = GSL::Vector.indgen(vec.size)
# 	i = 0
# 	begin 
# 		fit = GSL::Fit::linear(ind.subvector(i, ind.size - i) , vec.subvector(i, ind.size - i))
# # 		p fit[1].abs - 100.0 * fit[4].abs
# 		i += 1
# 		(eputs "Not Saturated"; break) if i > vec.size * 0.9
# 	end while (fit[1].abs - Math.sqrt(fit[4].abs)) > 0 
# 	p fit
# 	fit_vec = ind * fit[1] + fit[0]
# # 	p tavg.size
# 	# GraphKit.autocreate({x: {data: gsl_vector(name, {})}})
# 	(GraphKit.autocreate({x: {data: tavg}}) + GraphKit.autocreate({x: {data: vec}}) + GraphKit.autocreate({x: {data: fit_vec}})).gnuplot
	return tavg.sd
end

#sc(min) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 782

def sc(min)
	return @spectrum_check.min >= min
end

#set_nprocs ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 849

def set_nprocs

  if (nprocs_in = @nprocs) =~ /^x/
    max = max_nprocs_no_x
    nodes = 0
    @nprocs = "#{nodes}#{nprocs_in}"
    loop do
      nodes += 1
      @nprocs = "#{nodes}#{nprocs_in}"
      if actual_number_of_processors > max
        nodes -= 1
        @nprocs = "#{nodes}#{nprocs_in}"
        break
      end
    end
  end
end

#show_graph ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 514

def show_graph
  thegraph = special_graph('phi2tot_vs_time_all_kys')
  thegraph.title += " for g_exb = #{@g_exb.to_f.to_s}"
  thegraph.show
  sleep 1.5
#   @decaying = Feedback.get_boolean("Is the graph decaying?")
  thegraph.kill
end

#smart_graphkit(options) ⇒ Object 



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# File 'lib/gs2crmod/read_netcdf.rb', line 175

def smart_graphkit(options)
  case options[:command]
  when :help
    "A smart graphkit is a direct plot of a given variable from the new netcdf file. The name of the graphkit is the name of the variable prefixed by 'cdf_'. To plot, for example, the heat flux vs time, you would give the graph name cdf_heat_flux_tot. You can use index specifiers in the the options; for example, to plot the potential as a function of kx and ky for a given time index, you would use the graph name cdf_phi2_by_mode, and the options {t_index: n}. To plot the potential as function of kx for a given ky and time would use the options {t_index, n, Y_index: m}. For each dimension you can specify the index, or a minium and/or maximum."
  when :options
    [:X_index, :Y_index, :t_index, :e_index, :l_index, :s_index, :Xmax, :Xmin, :X_element]
  else
    netcdf_smart_reader.graphkit(options[:graphkit_name].sub(/^cdf_/, ''), options)
  end
end

#spec_chec(min, *dirns) ⇒ Object 



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# File 'lib/gs2crmod/calculations.rb', line 768

def spec_chec(min, *dirns)
	return @spectrum_check.zip([0, 1, 2]).inject(true) do |bool, (check,dirn)|
		unless dirns.include? dirn
			bool and true
		else
			unless check >= min
				false
			else
				bool and true
			end
		end
	end
end

#species_letter ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 624

def species_letter
  species_type(1).downcase[0,1]
end

#species_type(index) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 628

def species_type(index)
  if rcp.variables.include? :type_1
    type = send(:type_ + index.to_sym)
  else
    types = rcp.variables.find_all{|var| var.to_s =~ /^type/}.map{|var| send(var)}
    type = types[index.to_i - 1]
  end
  type
end

#spectrogk? ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/gs2crmod/gs2.rb', line 63

def spectrogk?
  false
end

#standardize_restart_files ⇒ Object

Put restart files in the conventional location, i.e. nc/run_name.proc



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# File 'lib/gs2crmod/gs2.rb', line 599

def standardize_restart_files
  Dir.chdir(@directory) do
    FileUtils.makedirs('nc')
    list_of_restart_files.each do |file|
      proc_id = file.scan(/\.\d+$|_ene$/)[0]
      #p 'proc_id', proc_id
      FileUtils.mv(file, "nc/#@run_name.nc#{proc_id}")
    end
  end
end

#stop ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1105

def stop
  `touch #@directory/#@run_name.stop`
end

#test_failed(namelist, var, gs2_var, tst) ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 18

def test_failed(namelist, var, gs2_var, tst)
  return  <<EOF

---------------------------
  Test Failed
---------------------------

Namelist: #{namelist}
Variable: #{var}
GS2 Name: #{gs2_var}
Value: #{send(var)}
Test: #{tst[:test]}
Explanation: #{tst[:explanation]}

---------------------------
EOF

end

#test_variable(namelist, var, var_hash, ext, value) ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 76

def test_variable(namelist, var, var_hash, ext, value)
    gs2_var = (var_hash[:gs2_name] or var)
    cr_var = var+ext.to_sym
    if value and (not var_hash[:should_include] or  eval(var_hash[:should_include]))
      var_hash[:must_pass].each do |tst|
        error(test_failed(namelist, cr_var, gs2_var, tst)) unless value.instance_eval(tst[:test])
      end if var_hash[:must_pass]
      var_hash[:should_pass].each do |tst|
        warning(test_failed(namelist, cr_var, gs2_var, tst)) unless value.instance_eval(tst[:test])
      end if var_hash[:should_pass]
      if (var_hash[:allowed_values] or var_hash[:text_options])
        tst = {test: "#{(var_hash[:allowed_values] or var_hash[:text_options]).inspect}.include? self", explanation: "The variable must have one of these values"}
        error(test_failed(namelist, cr_var, gs2_var, tst)) unless value.instance_eval(tst[:test])
      end

    end
end

#update_physics_parameters_from_miller_input_file(file) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 1004

def update_physics_parameters_from_miller_input_file(file)
  hash = self.class.parse_input_file(file)
  hash[:parameters].each do |var, val|
    set(var,val)
  end
  hash[:theta_grid_parameters].each do |var, val|
    next if  [:ntheta, :nperiod].include? var
    set(var, val)
  end
  hash[:dist_fn_knobs].each do |var, val|
    next unless [:g_exb].include? var
    set(var, val)
  end
  hash[:theta_grid_eik_knobs].each do |var, val|
    next unless [:s_hat_input, :beta_prime_input].include? var
    set(var, val)
  end

  hash[:species_parameters_2].each do |var, val|
    #next unless [:s_hat_input, :beta_prime_input].include? var
    set((var.to_s + '_2').to_sym, val)
  end
  hash[:species_parameters_1].each do |var, val|
    #next unless [:s_hat_input, :beta_prime_input].include? var
    set((var.to_s + '_1').to_sym, val)
  end
end

#vim_output ⇒ Object Also known as: vo 



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# File 'lib/gs2crmod/gs2.rb', line 1109

def vim_output
  system "vim -Ro #{output_file} #{error_file} #@directory/#@run_name.error #@directory/#@run_name.out "
end

#vim_stdout ⇒ Object Also known as: vo1 



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# File 'lib/gs2crmod/gs2.rb', line 1113

def vim_stdout
  system "vim -Ro #{output_file} "
end

#visually_check_growth_rate(ky = nil) ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 498

def visually_check_growth_rate(ky=nil)
  logf :visually_check_growth_rate
  phi_vec = gsl_vector(:phi2_by_ky_over_time, {ky: ky})
  t_vec = gsl_vector(:t)
  constant, growth_rate = GSL::Fit::linear(t_vec, 0.5*GSL::Sf::log(phi_vec)).slice(0..1)
  eputs growth_rate

  graph = @@phi2tot_vs_time_template.graph(["#{constant} * exp (2 * #{growth_rate} * x)"], [[[t_vec, phi_vec], "u 1:2 title 'phi2tot #{@run_name}' w p"]], {"set_show_commands" => "\nset log y\n", "point_size"=>'1.0'})
#   eputs graph.inline_data.inspect
  graph.show
  gets
  graph.kill

end

#warning(message) ⇒ Object 



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# File 'lib/gs2crmod/ingen.rb', line 7

def warning(message)
  eputs "Warning: " + message; sleep 0.3
end

#write_input_file ⇒ Object 



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# File 'lib/gs2crmod/gs2.rb', line 845

def write_input_file
  File.open(@run_name + ".in", 'w'){|file| file.puts input_file_text}
end