Exemple #1
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def __read_input_file(fname):
    """Read runner input file"""

    with open(fname) as f:
        runner_dict = iprPy.tools.parseinput(f, allsingular=True)

    run_directory = os.path.abspath(runner_dict['run_directory'])
    orphan_directory = runner_dict.get(
        'orphan_directory',
        os.path.join(os.path.dirname(run_directory), 'orphan'))
    dbase = iprPy.database_fromdict(runner_dict)

    return run_directory, orphan_directory, dbase
Exemple #2
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def __read_input_file(fname):
    """Read runner input file"""

    with open(fname) as f:
        build_dict = iprPy.tools.parseinput(f, allsingular=True)

    library_directory = os.path.abspath(
        build_dict.get('library_directory',
                       os.path.join(os.path.dirname(iprPy.rootdir),
                                    'library')))
    dbase = iprPy.database_fromdict(build_dict)

    return library_directory, dbase
Exemple #3
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def main(*args):
    """Main function called when script is executed directly."""
    
    # Read input script
    with open(args[0]) as f:
        input_dict = iprPy.tools.parseinput(f, singularkeys=singularkeys())
    
    # Open database
    dbase = iprPy.database_fromdict(input_dict)
    
    # Pull out run_directory
    run_directory = input_dict.pop('run_directory')
    
    # Call prepare
    prepare(dbase, run_directory, **input_dict)
Exemple #4
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def main(*args):
    calculation = iprPy.Calculation(__calc_style__)

    with open(args[0]) as f:
        prepare_dict = read_input(f)

    #open database
    dbase = iprPy.database_fromdict(prepare_dict)

    #Build record_df
    record_df = build_record_df(dbase, __record_style__)

    #Loop over all potentials
    for pot_record in iprPy.prepare.ipotentials(
            dbase,
            element=prepare_dict['potential_element'],
            name=prepare_dict['potential_name'],
            pair_style=prepare_dict['potential_pair_style']):
        potential = lmp.Potential(pot_record.content)
        pot_tar = dbase.get_tar(pot_record)

        #Loop over all prototypes
        for proto_record in iprPy.prepare.iprototypes(
                dbase,
                natypes=prepare_dict['prototype_natypes'],
                name=prepare_dict['prototype_name'],
                spacegroup=prepare_dict['prototype_spacegroup'],
                crystalfamily=prepare_dict['prototype_crystalfamily'],
                pearson=prepare_dict['prototype_Pearsonsymbol']):

            #Iterate over all combinations of potentials, prototypes and symbols
            for symbols in iprPy.prepare.isymbolscombos(
                    proto_record, pot_record):

                #Create calc_key
                calc_key = str(uuid.uuid4())

                #Define values for calc_*.in file
                calc_dict = {}
                calc_dict['lammps_command'] = prepare_dict['lammps_command']
                calc_dict['mpi_command'] = prepare_dict['mpi_command']
                calc_dict['potential_file'] = pot_record.name + '.xml'
                calc_dict['potential_dir'] = pot_record.name
                calc_dict[
                    'load'] = 'system_model ' + proto_record.name + '.xml'
                calc_dict['load_options'] = ''
                calc_dict['symbols'] = ' '.join(symbols)
                calc_dict['box_parameters'] = ''
                calc_dict['x_axis'] = ''
                calc_dict['y_axis'] = ''
                calc_dict['z_axis'] = ''
                calc_dict['atomshift'] = ''
                calc_dict['sizemults'] = prepare_dict['sizemults']
                calc_dict['length_unit'] = prepare_dict['length_unit']
                calc_dict['pressure_unit'] = prepare_dict['pressure_unit']
                calc_dict['energy_unit'] = prepare_dict['energy_unit']
                calc_dict['force_unit'] = prepare_dict['force_unit']
                calc_dict['minimum_r'] = prepare_dict['minimum_r']
                calc_dict['maximum_r'] = prepare_dict['maximum_r']
                calc_dict['number_of_steps_r'] = prepare_dict[
                    'number_of_steps_r']

                #Build inputfile by filling in calculation's template
                inputfile = iprPy.tools.filltemplate(calculation.template,
                                                     calc_dict, '<', '>')

                #Read inputfile to build input_dict
                input_dict = calculation.read_input(inputfile, calc_key)

                #Define additional input_dict terms
                input_dict['potential'] = potential
                input_dict['load_file'] = proto_record.content
                iprPy.input.system_family(input_dict)

                #Build incomplete record
                new_record = iprPy.Record(
                    name=calc_key,
                    content=calculation.data_model(input_dict).xml(),
                    style=__record_style__)

                #Check if record is new
                if is_new(record_df, new_record):

                    #Add record to database
                    dbase.add_record(record=new_record)

                    #Generate calculation folder
                    calc_directory = os.path.join(
                        prepare_dict['run_directory'], calc_key)
                    os.makedirs(calc_directory)

                    #Save inputfile to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         'calc_' + __calc_style__ + '.in'),
                            'w') as f:
                        f.write(inputfile)

                    #Add calculation files to calculation folder
                    for calc_file in calculation.files:
                        shutil.copy(calc_file, calc_directory)

                    #Add potential record file to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         pot_record.name + '.xml'), 'w') as f:
                        f.write(pot_record.content)

                    #Extract potential's tar files to calculation folder
                    pot_tar.extractall(calc_directory)

                    #Add prototype record file to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         proto_record.name + '.xml'),
                            'w') as f:
                        f.write(proto_record.content)
def main(*args):
    calculation = iprPy.Calculation(__calc_style__)

    with open(args[0]) as f:
        prepare_dict = read_input(f)

    #open database
    dbase = iprPy.database_fromdict(prepare_dict)

    #Build record_df
    record_df = build_record_df(dbase, __record_style__)

    #Build potential dictionaries (single dbase access)
    pot_record_dict = {}
    pot_tar_dict = {}
    for pot_record in dbase.iget_records(style='LAMMPS-potential'):
        pot_record_dict[pot_record.name] = pot_record

    #Load E_vs_r_scan records
    for parent_record in iprPy.prepare.icalculations(
            dbase,
            record_style='calculation-cohesive-energy-relation',
            symbol=prepare_dict['symbol_name'],
            prototype=prepare_dict['prototype_name'],
            potential=prepare_dict['potential_name']):
        parent_dict = parent_record.todict()

        #Load potential
        pot_record = pot_record_dict[parent_dict['potential_id']]
        potential = lmp.Potential(pot_record.content)

        #Get pot_tar from dbase only once per potential
        if parent_dict['potential_id'] in pot_tar_dict:
            pot_tar = pot_tar_dict[parent_dict['potential_id']]
        else:
            pot_tar = dbase.get_tar(pot_record)
            pot_tar_dict[parent_dict['potential_id']] = pot_tar

        #Loop over number_min_states
        for i in xrange(parent_dict['number_min_states']):
            if i == 0:
                load_options = 'key minimum-atomic-system'
            else:
                load_options = 'key minimum-atomic-system index ' + str(i)

            #Loop over strainrange values
            for strain in iprPy.tools.iaslist(prepare_dict['strainrange']):

                #Create calc_key
                calc_key = str(uuid.uuid4())

                #Define values for calc_*.in file
                calc_dict = {}

                calc_dict['lammps_command'] = prepare_dict['lammps_command']
                calc_dict['mpi_command'] = prepare_dict['mpi_command']
                calc_dict['potential_file'] = pot_record.name + '.xml'
                calc_dict['potential_dir'] = pot_record.name
                calc_dict[
                    'load'] = 'system_model ' + parent_record.name + '.xml'
                calc_dict['load_options'] = load_options
                calc_dict['symbols'] = ''
                calc_dict['box_parameters'] = ''
                calc_dict['x_axis'] = ''
                calc_dict['y_axis'] = ''
                calc_dict['z_axis'] = ''
                calc_dict['atomshift'] = ''
                calc_dict['sizemults'] = prepare_dict['sizemults']
                calc_dict['length_unit'] = prepare_dict['length_unit']
                calc_dict['pressure_unit'] = prepare_dict['pressure_unit']
                calc_dict['energy_unit'] = prepare_dict['energy_unit']
                calc_dict['force_unit'] = prepare_dict['force_unit']
                calc_dict['strainrange'] = strain
                calc_dict['energytolerance'] = prepare_dict['energytolerance']
                calc_dict['forcetolerance'] = prepare_dict['forcetolerance']
                calc_dict['maxiterations'] = prepare_dict['maxiterations']
                calc_dict['maxevaluations'] = prepare_dict['maxevaluations']
                calc_dict['maxatommotion'] = prepare_dict['maxatommotion']

                #Build inputfile by filling in calculation's template
                inputfile = iprPy.tools.filltemplate(calculation.template,
                                                     calc_dict, '<', '>')

                #Read inputfile to build input_dict
                input_dict = calculation.read_input(inputfile, calc_key)

                #Define additional input_dict terms
                input_dict['potential'] = potential
                input_dict['load_file'] = parent_record.content
                iprPy.input.system_family(input_dict)

                #Build incomplete record
                new_record = iprPy.Record(
                    name=calc_key,
                    content=calculation.data_model(input_dict).xml(),
                    style=__record_style__)

                #Check if record is new
                if is_new(record_df, new_record):

                    #Add record to database
                    dbase.add_record(record=new_record)

                    #Generate calculation folder
                    calc_directory = os.path.join(
                        prepare_dict['run_directory'], calc_key)
                    os.makedirs(calc_directory)

                    #Save inputfile to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         'calc_' + __calc_style__ + '.in'),
                            'w') as f:
                        f.write(inputfile)

                    #Add calculation files to calculation folder
                    for calc_file in calculation.files:
                        shutil.copy(calc_file, calc_directory)

                    #Add potential record file to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         pot_record.name + '.xml'), 'w') as f:
                        f.write(pot_record.content)

                    #Extract potential's tar files to calculation folder
                    pot_tar.extractall(calc_directory)

                    #Add parent record file to calculation folder
                    with open(
                            os.path.join(calc_directory,
                                         parent_record.name + '.xml'),
                            'w') as f:
                        f.write(parent_record.content)
def main(*args):
    calculation = iprPy.Calculation(__calc_style__)
    
    with open(args[0]) as f:
        prepare_dict = read_input(f)
        
    #open database
    dbase = iprPy.database_fromdict(prepare_dict)
    
    #Build record_df
    record_df = build_record_df(dbase, __record_style__)
    
    #Load relax_structure records
    for parent_record in iprPy.prepare.icalculations(dbase, 
                                                     record_style = 'calculation-structure-relax',
                                                     symbol =       prepare_dict['symbol_name'], 
                                                     prototype =    'A2--W--bcc',
                                                     potential =    prepare_dict['potential_name']):
        parent_dict = parent_record.todict()
        
        #Skip if strainrange not 1e-6 and calc_script not relax_structure
        if not np.isclose(parent_dict['strainrange'], 1e-6): continue
        if parent_dict['calc_script'] != 'calc_refine_structure': continue
        
        #Load potential, symbols, alat, and cohesive energy
        pot_record = dbase.get_record(name=parent_dict['potential_id'], style='LAMMPS-potential')
        potential = lmp.Potential(pot_record.content)
        pot_tar = dbase.get_tar(pot_record)
        symbols = parent_dict['symbols']
        E_coh = parent_dict['E_cohesive']
        alat = parent_dict['final_a']
        
        #Loop over grain boundaries
        for x_axis_1, y_axis_1, z_axis_1, x_axis_2, y_axis_2, z_axis_2 in zip(prepare_dict['x_axis_1'], 
                                                                              prepare_dict['y_axis_1'], 
                                                                              prepare_dict['z_axis_1'], 
                                                                              prepare_dict['x_axis_2'], 
                                                                              prepare_dict['y_axis_2'], 
                                                                              prepare_dict['z_axis_2']):
            
            #Create calc_key
            calc_key = str(uuid.uuid4())
            
            #Define values for calc_*.in file
            calc_dict = {}
            calc_dict['lammps_command'] =   prepare_dict['lammps_command']
            calc_dict['mpi_command'] =      prepare_dict['mpi_command']
            calc_dict['potential_file'] =   pot_record.name + '.xml'
            calc_dict['potential_dir'] =    pot_record.name
            calc_dict['symbols'] =          symbols * 3
            calc_dict['alat'] =             alat
            calc_dict['E_coh'] =            E_coh
            calc_dict['x_axis_1'] =         x_axis_1
            calc_dict['y_axis_1'] =         y_axis_1
            calc_dict['z_axis_1'] =         z_axis_1
            calc_dict['x_axis_2'] =         x_axis_2
            calc_dict['y_axis_2'] =         y_axis_2
            calc_dict['z_axis_2'] =         z_axis_2
            calc_dict['x_stepsize'] =       prepare_dict['x_stepsize']
            calc_dict['z_stepsize'] =       prepare_dict['z_stepsize']
            calc_dict['length_unit'] =      prepare_dict['length_unit']
            calc_dict['pressure_unit'] =    prepare_dict['pressure_unit']
            calc_dict['energy_unit'] =      prepare_dict['energy_unit']
            calc_dict['force_unit'] =       prepare_dict['force_unit']

            #Build inputfile by filling in calculation's template
            inputfile = iprPy.tools.filltemplate(calculation.template, calc_dict, '<', '>')
            
            #Read inputfile to build input_dict
            input_dict = calculation.read_input(inputfile, calc_key)
            
            #Define additional input_dict terms
            input_dict['potential'] = potential
            input_dict['load_file'] = parent_record.content
            iprPy.input.system_family(input_dict)
            
            #Build incomplete record
            new_record = iprPy.Record(name=calc_key, content=calculation.data_model(input_dict).xml(), style=__record_style__)
            
            #Check if record is new
            if is_new(record_df, new_record):
            
                #Add record to database
                dbase.add_record(record=new_record)
                
                #Generate calculation folder    
                calc_directory = os.path.join(prepare_dict['run_directory'], calc_key)
                os.makedirs(calc_directory)
                
                #Save inputfile to calculation folder
                with open(os.path.join(calc_directory, 'calc_' + __calc_style__ + '.in'), 'w') as f:
                    f.write(inputfile)

                #Add calculation files to calculation folder
                for calc_file in calculation.files:
                    shutil.copy(calc_file, calc_directory)  
                
                #Add potential record file to calculation folder
                with open(os.path.join(calc_directory, pot_record.name+'.xml'), 'w') as f:
                    f.write(pot_record.content)
                    
                #Extract potential's tar files to calculation folder    
                pot_tar.extractall(calc_directory)
                
                #Add parent record file to calculation folder
                with open(os.path.join(calc_directory, parent_record.name+'.xml'), 'w') as f:
                    f.write(parent_record.content)