<commit_before>import argparse
import sys
import os.path
import tempfile

import numpy as np

import ndop.optimization.cost_function
import ndop.optimization.job
import util.batch.universal.system
import util.io.matlab
import util.io.fs

import util.logging
logger = util.logging.logger

from ndop.optimization.matlab.constants import MATLAB_PARAMETER_FILENAME, MATLAB_F_FILENAME, MATLAB_DF_FILENAME, NODES_MAX_FILENAME, KIND_OF_COST_FUNCTIONS


if __name__ == "__main__":
    ## parse arguments
    parser = argparse.ArgumentParser(description='Evaluating cost function for matlab.')

    parser.add_argument('-c', '--kind_of_cost_function', choices=KIND_OF_COST_FUNCTIONS, help='The kind of the cost function to chose.')

    parser.add_argument('-y', '--years', type=int, help='Number of maximal years for the spinup.')
    parser.add_argument('-t', '--tolerance', default=0, type=float, help='The tolerance at which the spinup terminates.')
    parser.add_argument('-a', '--and_combination', action='store_true', help='If year and tolerance both have to be satisfied.')

    parser.add_argument('-f', '--eval_function_value', action='store_true', help='Save the value of the cost function.')
    parser.add_argument('-g', '--eval_grad_value', action='store_true', help='Save the values of the derivative of the cost function.')

    parser.add_argument('-p', '--exchange_dir', help='The directory from which to load the parameters and save the values.')
    parser.add_argument('-d', '--debug_logging_file', default=None, help='File to store debug informations.')

    parser.add_argument('--node_kind', default=None, help='The node kind to use for the spinup.')
    parser.add_argument('--nodes', default=0, type=int, help='The number of nodes to use for the spinup.')
    parser.add_argument('--cpus', default=0, type=int, help='The number of cpus to use for the spinup.')

    parser.add_argument('--version', action='version', version='%(prog)s 0.1')


    args = parser.parse_args()

    kind_of_cost_function = args.kind_of_cost_function

    years = args.years
    tolerance = args.tolerance
    if args.and_combination:
        combination='and'
    else:
        combination='or'

    eval_function_value = args.eval_function_value
    eval_grad_value = args.eval_grad_value

    exchange_dir = args.exchange_dir
    log_file = args.debug_logging_file

    spinup_options = {'years':years, 'tolerance':tolerance, 'combination':combination}
    time_step = 1
    df_accuracy_order = 2

    if args.node_kind is not None:
        nodes_setup_dict = {'node_kind':args.node_kind, 'nodes':args.nodes, 'cpus':args.cpus}
        nodes_setup = util.batch.universal.system.NodeSetup(check_for_better=True, **nodes_setup_dict)
        job_setup = {'spinup':{'nodes_setup':nodes_setup}}
    else:
        job_setup = None


    ## run cost function evaluation
    with util.logging.Logger(log_file=log_file, disp_stdout=log_file is None):
        with np.errstate(invalid='ignore'):

            ## calculate file locations
            p_file = os.path.join(exchange_dir, MATLAB_PARAMETER_FILENAME)
            f_file = os.path.join(exchange_dir, MATLAB_F_FILENAME)
            df_file = os.path.join(exchange_dir, MATLAB_DF_FILENAME)
            # job_nodes_max_file = os.path.join(exchange_dir, NODES_MAX_FILENAME)


            ## choose cost function
            kind_of_cost_function_splitted = kind_of_cost_function.split('.')
            data_kind = kind_of_cost_function_splitted[0]
            cf_kind = kind_of_cost_function_splitted[1]

            if cf_kind == 'OLS':
                cf_class = ndop.optimization.cost_function.OLS
            elif cf_kind == 'WLS':
                cf_class = ndop.optimization.cost_function.WLS
            elif cf_kind == 'LWLS':
                cf_class = ndop.optimization.cost_function.LWLS<commit_msg>BUG: ndop/optimization/matlab/cost_function.py: memory for job was missing<commit_after>import argparse
import sys
import os.path
import tempfile
if __name__ == "__main__":

    import numpy as np
    
    import ndop.optimization.cost_function
    import ndop.optimization.job
    import util.batch.universal.system
    import util.io.matlab
    import util.io.fs
    
    import util.logging
    logger = util.logging.logger
    
    from ndop.optimization.matlab.constants import MATLAB_PARAMETER_FILENAME, MATLAB_F_FILENAME, MATLAB_DF_FILENAME, NODES_MAX_FILENAME, KIND_OF_COST_FUNCTIONS
    
    
    ## parse arguments
    parser = argparse.ArgumentParser(description='Evaluating cost function for matlab.')

    parser.add_argument('-c', '--kind_of_cost_function', choices=KIND_OF_COST_FUNCTIONS, help='The kind of the cost function to chose.')

    parser.add_argument('-y', '--years', type=int, help='Number of maximal years for the spinup.')
    parser.add_argument('-t', '--tolerance', default=0, type=float, help='The tolerance at which the spinup terminates.')
    parser.add_argument('-a', '--and_combination', action='store_true', help='If year and tolerance both have to be satisfied.')

    parser.add_argument('-f', '--eval_function_value', action='store_true', help='Save the value of the cost function.')
    parser.add_argument('-g', '--eval_grad_value', action='store_true', help='Save the values of the derivative of the cost function.')

    parser.add_argument('-p', '--exchange_dir', help='The directory from which to load the parameters and save the values.')
    parser.add_argument('-d', '--debug_logging_file', default=None, help='File to store debug informations.')

    parser.add_argument('--node_kind', default=None, help='The node kind to use for the spinup.')
    parser.add_argument('--nodes', default=0, type=int, help='The number of nodes to use for the spinup.')
    parser.add_argument('--cpus', default=0, type=int, help='The number of cpus to use for the spinup.')

    parser.add_argument('--version', action='version', version='%(prog)s 0.1')


    args = parser.parse_args()

    kind_of_cost_function = args.kind_of_cost_function

    years = args.years
    tolerance = args.tolerance
    if args.and_combination:
        combination='and'
    else:
        combination='or'

    eval_function_value = args.eval_function_value
    eval_grad_value = args.eval_grad_value

    exchange_dir = args.exchange_dir
    log_file = args.debug_logging_file

    spinup_options = {'years':years, 'tolerance':tolerance, 'combination':combination}
    time_step = 1
    df_accuracy_order = 2

    if args.node_kind is not None:
        from ndop.model.constants import JOB_MEMORY_GB
        nodes_setup_dict = {'memory': JOB_MEMORY_GB, 'node_kind':args.node_kind, 'nodes':args.nodes, 'cpus':args.cpus}
        nodes_setup = util.batch.universal.system.NodeSetup(check_for_better=True, **nodes_setup_dict)
        job_setup = {'spinup':{'nodes_setup':nodes_setup}}
    else:
        job_setup = None


    ## run cost function evaluation
    with util.logging.Logger(log_file=log_file, disp_stdout=log_file is None):
        with np.errstate(invalid='ignore'):

            ## calculate file locations
            p_file = os.path.join(exchange_dir, MATLAB_PARAMETER_FILENAME)
            f_file = os.path.join(exchange_dir, MATLAB_F_FILENAME)
            df_file = os.path.join(exchange_dir, MATLAB_DF_FILENAME)
            # job_nodes_max_file = os.path.join(exchange_dir, NODES_MAX_FILENAME)


            ## choose cost function
            kind_of_cost_function_splitted = kind_of_cost_function.split('.')
            data_kind = kind_of_cost_function_splitted[0]
            cf_kind = kind_of_cost_function_splitted[1]

            if cf_kind == 'OLS':
                cf_class = ndop.optimization.cost_function.OLS
            elif cf_kind == 'WLS':
                cf_class = ndop.optimization.cost_function.WLS
            elif cf_kind == 'LWLS':
                cf_class = ndop.optimization.cost_function.LWLS
{'fraction_non_alphanumeric': 0.1097761477172126, 'fraction_numerical': 0.0022764638927532566, 'mean_word_length': 3.611078717201166, 'pattern_counts': {'":': 2, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5612023', 'n_tokens_mistral': 2552, 'n_tokens_neox': 2442, 'n_words': 547}