Calculation

class ncTools.calculation(gdat_in, gdat_out, list_gvar_in, list_gvar_out=None, chk_in=None, chk_out=None, parallelized=False, overwrite=False)

Attributes

data_in	(geodata) Input geophysical data
data_out	(geodata) Output geophysiscal data
nb_tempfiles :	Number of temporary files
parallelized <’boolean’>: Define if the calculation
is parallelized or not
nb_proc <’int’>: total number of processors
proc_indx <’in’>: index of current processor
overwrite <’boolean’>: overwrite or not temporary and output files
chk_xtrac <’chunk’>: chunk defining the structure to extract from
the input file to generate the output file
fcounter <’string’>: path of temporary counter file
chunking <’dictionnary[‘in’, <’chunk’>, ‘temp_in’, <’chunk’>,
‘temp_out’, <’chunk’>, ‘out’,<’chunk’>]’>
Constructor:
data_in <’geodata’>: characteristics of input data
data_out <’geodata’>: characteristics of output data
chk <’chunk’>: chunk defining the structure to extract from the
input file to generate the output file
parallelized <’boolean’>: Define if the calculation is
parallelized or not
overwrite <’boolean’>: overwrite or not temporary files

Methods

concatenate(dim='lon')

Concatenate the temporary files along the prescribed dimension

delete(filename)

disp(txt)

generate_file_out(mode='same')

Generate the output files

generate_temp_in()

Generate the temporary geodata instances

generate_temp_out()

get_temp_data(indx)

optimize_1D(nb_var, dim='lon', free_mem=None)

Optimize the computation by defining slices along the dimension specified

read_counter()

start()

stop()

wait()

write_counter(var_counter, slice_counter)