Instruction:
How would you code a function in Python 3 to
initialize the acceptance criteria for thellier_gui and demag_gui

Response:
def initialize_acceptance_criteria(**kwargs):
    '''
    initialize acceptance criteria with NULL values for thellier_gui and demag_gui

    acceptance criteria format is doctionaries:

    acceptance_criteria={}
        acceptance_criteria[crit]={}
            acceptance_criteria[crit]['category']=
            acceptance_criteria[crit]['criterion_name']=
            acceptance_criteria[crit]['value']=
            acceptance_criteria[crit]['threshold_type']
            acceptance_criteria[crit]['decimal_points']

   'category':
       'DE-SPEC','DE-SAMP'..etc
   'criterion_name':
       MagIC name
   'value':
        a number (for 'regular criteria')
        a string (for 'flag')
        1 for True (if criteria is bullean)
        0 for False (if criteria is bullean)
        -999 means N/A
   'threshold_type':
       'low'for low threshold value
       'high'for high threshold value
        [flag1.flag2]: for flags
        'bool' for boolean flags (can be 'g','b' or True/Flase or 1/0)
   'decimal_points':
       number of decimal points in rounding
       (this is used in displaying criteria in the dialog box)
       -999 means Exponent with 3 descimal points for floats and string for string
    '''

    acceptance_criteria = {}
    # --------------------------------
    # 'DE-SPEC'
    # --------------------------------
    # low cutoff value
    category = 'DE-SPEC'
    for crit in ['specimen_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    category = 'DE-SPEC'
    for crit in ['specimen_mad', 'specimen_dang', 'specimen_alpha95']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        acceptance_criteria[crit]['decimal_points'] = 1

    # flag
    for crit in ['specimen_direction_type']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        if crit == 'specimen_direction_type':
            acceptance_criteria[crit]['threshold_type'] = ['l', 'p']
        if crit == 'specimen_polarity':
            acceptance_criteria[crit]['threshold_type'] = [
                'n', 'r', 't', 'e', 'i']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'DE-SAMP'
    # --------------------------------

    # low cutoff value
    category = 'DE-SAMP'
    for crit in ['sample_n', 'sample_n_lines', 'sample_n_planes']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    category = 'DE-SAMP'
    for crit in ['sample_r', 'sample_alpha95', 'sample_sigma', 'sample_k', 'sample_tilt_correction']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['sample_tilt_correction']:
            acceptance_criteria[crit]['decimal_points'] = 0
        elif crit in ['sample_alpha95']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # flag
    for crit in ['sample_direction_type', 'sample_polarity']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        if crit == 'sample_direction_type':
            acceptance_criteria[crit]['threshold_type'] = ['l', 'p']
        if crit == 'sample_polarity':
            acceptance_criteria[crit]['threshold_type'] = [
                'n', 'r', 't', 'e', 'i']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'DE-SITE'
    # --------------------------------

    # low cutoff value
    category = 'DE-SITE'
    for crit in ['site_n', 'site_n_lines', 'site_n_planes']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['site_k', 'site_r', 'site_alpha95', 'site_sigma', 'site_tilt_correction']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['site_tilt_correction']:
            acceptance_criteria[crit]['decimal_points'] = 0
        else:
            acceptance_criteria[crit]['decimal_points'] = 1

    # flag
    for crit in ['site_direction_type', 'site_polarity']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        if crit == 'site_direction_type':
            acceptance_criteria[crit]['threshold_type'] = ['l', 'p']
        if crit == 'site_polarity':
            acceptance_criteria[crit]['threshold_type'] = [
                'n', 'r', 't', 'e', 'i']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'DE-STUDY'
    # --------------------------------
    category = 'DE-STUDY'
    # low cutoff value
    for crit in ['average_k', 'average_n', 'average_nn', 'average_nnn', 'average_r']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        if crit in ['average_n', 'average_nn', 'average_nnn']:
            acceptance_criteria[crit]['decimal_points'] = 0
        elif crit in ['average_alpha95']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # high cutoff value
    for crit in ['average_alpha95', 'average_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['average_alpha95']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'IE-SPEC' (a long list from SPD.v.1.0)
    # --------------------------------
    category = 'IE-SPEC'

    # low cutoff value
    for crit in ['specimen_int_n', 'specimen_f', 'specimen_fvds', 'specimen_frac', 'specimen_q', 'specimen_w', 'specimen_r_sq', 'specimen_int_ptrm_n',
                 'specimen_int_ptrm_tail_n', 'specimen_ac_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0
        if crit in ['specimen_int_n', 'specimen_int_ptrm_n', 'specimen_int_ptrm_tail_n', 'specimen_ac_n']:
            acceptance_criteria[crit]['decimal_points'] = 0
        elif crit in ['specimen_f', 'specimen_fvds', 'specimen_frac', 'specimen_q']:
            acceptance_criteria[crit]['decimal_points'] = 2
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # high cutoff value
    for crit in ['specimen_b_sigma', 'specimen_b_beta', 'specimen_g', 'specimen_gmax', 'specimen_k', 'specimen_k_sse', 'specimen_k_prime', 'specimen_k_prime_sse',
                 'specimen_coeff_det_sq', 'specimen_z', 'specimen_z_md', 'specimen_int_mad', 'specimen_int_mad_anc', 'specimen_int_alpha', 'specimen_alpha', 'specimen_alpha_prime',
                 'specimen_theta', 'specimen_int_dang', 'specimen_int_crm', 'specimen_ptrm', 'specimen_dck', 'specimen_drat', 'specimen_maxdev', 'specimen_cdrat',
                 'specimen_drats', 'specimen_mdrat', 'specimen_mdev', 'specimen_dpal', 'specimen_tail_drat', 'specimen_dtr', 'specimen_md', 'specimen_dt', 'specimen_dac', 'specimen_gamma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['specimen_int_mad', 'specimen_int_mad_anc', 'specimen_int_dang', 'specimen_drat', 'specimen_cdrat', 'specimen_drats', 'specimen_tail_drat', 'specimen_dtr', 'specimen_md', 'specimen_dac', 'specimen_gamma']:
            acceptance_criteria[crit]['decimal_points'] = 1
        elif crit in ['specimen_gmax']:
            acceptance_criteria[crit]['decimal_points'] = 2
        elif crit in ['specimen_b_sigma', 'specimen_b_beta', 'specimen_g', 'specimen_k', 'specimen_k_prime']:
            acceptance_criteria[crit]['decimal_points'] = 3
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # flags
    for crit in ['specimen_scat']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = 'bool'
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'IE-SAMP'
    # --------------------------------
    category = 'IE-SAMP'

    # low cutoff value
    for crit in ['sample_int_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['sample_int_rel_sigma', 'sample_int_rel_sigma_perc', 'sample_int_sigma', 'sample_int_sigma_perc']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['sample_int_rel_sigma_perc', 'sample_int_sigma_perc']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'IE-SITE'
    # --------------------------------
    category = 'IE-SITE'

    # low cutoff value
    for crit in ['site_int_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['site_int_rel_sigma', 'site_int_rel_sigma_perc', 'site_int_sigma', 'site_int_sigma_perc']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['site_int_rel_sigma_perc', 'site_int_sigma_perc']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'IE-STUDY'
    # --------------------------------
    category = 'IE-STUDY'
    # low cutoff value
    for crit in ['average_int_n', 'average_int_n', 'average_int_nn', 'average_int_nnn', ]:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['average_int_rel_sigma', 'average_int_rel_sigma_perc', 'average_int_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        if crit in ['average_int_rel_sigma_perc']:
            acceptance_criteria[crit]['decimal_points'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'NPOLE'
    # --------------------------------
    category = 'NPOLE'
    # flags
    for crit in ['site_polarity']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = ['n', 'r']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'NPOLE'
    # --------------------------------
    category = 'RPOLE'
    # flags
    for crit in ['site_polarity']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = ['n', 'r']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'VADM'
    # --------------------------------
    category = 'VADM'
    # low cutoff value
    for crit in ['vadm_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        if crit in ['vadm_n']:
            acceptance_criteria[crit]['decimal_points'] = 0
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'VADM'
    # --------------------------------
    category = 'VADM'
    # low cutoff value
    for crit in ['vadm_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['vadm_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'VADM'
    # --------------------------------
    category = 'VDM'
    # low cutoff value
    for crit in ['vdm_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['vdm_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'VGP'
    # --------------------------------
    category = 'VDM'
    # low cutoff value
    for crit in ['vgp_n']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = 0

    # high cutoff value
    for crit in ['vgp_alpha95', 'vgp_dm', 'vgp_dp', 'vgp_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        if crit in ['vgp_alpha95']:
            acceptance_criteria[crit]['decimal_points', 'vgp_dm', 'vgp_dp'] = 1
        else:
            acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'AGE'
    # --------------------------------
    category = 'AGE'
    # low cutoff value
    for crit in ['average_age_min']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "low"
        acceptance_criteria[crit]['decimal_points'] = -999

    # high cutoff value
    for crit in ['average_age_max', 'average_age_sigma']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        acceptance_criteria[crit]['decimal_points'] = -999

    # flags
    for crit in ['average_age_unit']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = [
            'Ga', 'Ka', 'Ma', 'Years AD (+/-)', 'Years BP', 'Years Cal AD (+/-)', 'Years Cal BP']
        acceptance_criteria[crit]['decimal_points'] = -999

    # --------------------------------
    # 'ANI'
    # --------------------------------
    category = 'ANI'
    # high cutoff value
    for crit in ['anisotropy_alt', 'sample_aniso_mean', 'site_aniso_mean']:  # value is in precent
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = "high"
        acceptance_criteria[crit]['decimal_points'] = 3

    # flags

    for crit in ['specimen_aniso_ftest_flag']:
        acceptance_criteria[crit] = {}
        acceptance_criteria[crit]['category'] = category
        acceptance_criteria[crit]['criterion_name'] = crit
        acceptance_criteria[crit]['value'] = -999
        acceptance_criteria[crit]['threshold_type'] = 'bool'
        acceptance_criteria[crit]['decimal_points'] = -999

    return(acceptance_criteria)


Instruction:
Can you generate a brief explanation for the following Python 3 code
def read_criteria_from_file(path, acceptance_criteria, **kwargs):
    '''
    Read accceptance criteria from magic criteria file
    # old format:
    multiple lines.  pmag_criteria_code defines the type of criteria

    to deal with old format this function reads all the lines and ignore empty cells.
    i.e., the program assumes that in each column there is only one value (in one of the lines)

    special case in the old format:
        specimen_dang has a value and pmag_criteria_code is IE-specimen.
        The program assumes that the user means specimen_int_dang
    # New format for thellier_gui and demag_gui:
    one long line. pmag_criteria_code=ACCEPT

    path is the full path to the criteria file

    the function takes exiting acceptance_criteria
    and updtate it with criteria from file

    output:
    acceptance_criteria={}
    acceptance_criteria[MagIC Variable Names]={}
    acceptance_criteria[MagIC Variable Names]['value']:
        a number for acceptance criteria value
        -999 for N/A
        1/0 for True/False or Good/Bad
    acceptance_criteria[MagIC Variable Names]['threshold_type']:
        "low":  lower cutoff value i.e. crit>=value pass criteria
        "high": high cutoff value i.e. crit<=value pass criteria
        [string1,string2,....]: for flags
    acceptance_criteria[MagIC Variable Names]['decimal_points']:number of decimal points in rounding
            (this is used in displaying criteria in the dialog box)

    '''
    warnings = []
    acceptance_criteria_list = list(acceptance_criteria.keys())
    if 'data_model' in list(kwargs.keys()) and kwargs['data_model'] == 3:
        crit_data = acceptance_criteria  # data already read in
    else:
        crit_data, file_type = magic_read(path)
        if 'criteria' not in file_type:
            if 'empty' in file_type:
                print('-W- No criteria found: {} '.format(path))
            else:
                print(
                    '-W- {} could not be read and may be improperly formatted...'.format(path))
    for rec in crit_data:
        # gather metadata
        metadata_dict = {'pmag_criteria_code': '',
                         'criteria_definition': '', 'er_citation_names': ''}
        for metadata in metadata_dict:
            if metadata in rec:
                metadata_dict[metadata] = rec[metadata]
        # check each record for correct name and compatibility
        for crit in list(rec.keys()):
            if crit == 'anisotropy_ftest_flag' and crit not in list(rec.keys()):
                crit = 'specimen_aniso_ftest_flag'  # convert legacy criterion to 2.5
            rec[crit] = rec[crit].strip('\n')
            if crit in ['pmag_criteria_code', 'criteria_definition', 'magic_experiment_names', 'er_citation_names']:
                continue
            elif rec[crit] == "":
                continue

            # this catches all the ones that are being overwritten
            if crit in acceptance_criteria:
                if acceptance_criteria[crit]['value'] not in [-999, '-999', -999]:

                    print(
                        "-W- You have multiple different criteria that both use column: {}.\nThe last will be used:\n{}.".format(crit, rec))
                    warn_string = 'multiple criteria for column: {} (only last will be used)'.format(
                        crit)
                    if warn_string not in warnings:
                        warnings.append(warn_string)
            if crit == "specimen_dang" and "pmag_criteria_code" in list(rec.keys()) and "IE-SPEC" in rec["pmag_criteria_code"]:
                crit = "specimen_int_dang"
                print("-W- Found backward compatibility problem with selection criteria specimen_dang. Cannot be associated with IE-SPEC. Program assumes that the statistic is specimen_int_dang")
                if 'specimen_int_dang' not in acceptance_criteria:
                    acceptance_criteria["specimen_int_dang"] = {}
                acceptance_criteria["specimen_int_dang"]['value'] = float(
                    rec["specimen_dang"])

            elif crit not in acceptance_criteria_list:
                print(
                    "-W- WARNING: criteria code %s is not supported by PmagPy GUI. please check" % crit)
                acceptance_criteria[crit] = {}
                acceptance_criteria[crit]['value'] = rec[crit]
                acceptance_criteria[crit]['threshold_type'] = "inherited"
                acceptance_criteria[crit]['decimal_points'] = -999
                acceptance_criteria[crit]['category'] = None
            # boolean flag
            elif acceptance_criteria[crit]['threshold_type'] == 'bool':
                if str(rec[crit]) in ['1', 'g', 'True', 'TRUE']:
                    acceptance_criteria[crit]['value'] = True
                else:
                    acceptance_criteria[crit]['value'] = False

            # criteria as flags
            elif type(acceptance_criteria[crit]['threshold_type']) == list:
                if str(rec[crit]) in acceptance_criteria[crit]['threshold_type']:
                    acceptance_criteria[crit]['value'] = str(rec[crit])
                else:
                    print(
                        "-W- WARNING: data %s from criteria code  %s and is not supported by PmagPy GUI. please check" % (crit, rec[crit]))
            elif float(rec[crit]) == -999:
                pass
            else:
                acceptance_criteria[crit]['value'] = float(rec[crit])
            # add in metadata to each record
            acceptance_criteria[crit].update(metadata_dict)
    if "return_warnings" in kwargs:
        return (acceptance_criteria, warnings)
    else:
        return(acceptance_criteria)

Response: Read accceptance criteria from a magic criteria file.


Instruction:
Create a Python 3 function to
add a flag to a variable if it is not present.

Response:
def add_flag(var, flag):
    """
    for use when calling command-line scripts from withing a program.
    if a variable is present, add its proper command_line flag.
    return a string.
    """
    if var:
        var = flag + " " + str(var)
    else:
        var = ""
    return var


Instruction:
Can you create a Python 3 function that
returns the value after a named command - line flag such as - f or sys. argv if it is present in sys. argv otherwise default_val.

Response:
def get_named_arg(name, default_val=None, reqd=False):
    """
    Extract the value after a command-line flag such as '-f' and return it.
    If the command-line flag is missing, return default_val.
    If reqd == True and the command-line flag is missing, throw an error.

    Parameters
    ----------
    name : str
        command line flag, e.g. "-f"
    default_val
        value to use if command line flag is missing, e.g. "measurements.txt"
        default is None
    reqd : bool
        throw error if reqd==True and command line flag is missing.
        if reqd == True, default_val will be ignored.
        default is False.

    Returns
    ---------
    Desired value from sys.argv if available, otherwise default_val.
    """
    if name in sys.argv:  # if the command line flag is found in sys.argv
        ind = sys.argv.index(name)
        return sys.argv[ind + 1]
    if reqd:  # if arg is required but not present
        raise MissingCommandLineArgException(name)
    return default_val


Instruction:
Create a Python 3 function for
taking a list of recs [ rec1 rec2 rec3... ] each rec is a dictionary.

Response:
def merge_recs_headers(recs):
    '''
    take a list of recs [rec1,rec2,rec3....], each rec is a dictionary.
    make sure that all recs have the same headers.
    '''
    headers = []
    for rec in recs:
        keys = list(rec.keys())
        for key in keys:
            if key not in headers:
                headers.append(key)
    for rec in recs:
        for header in headers:
            if header not in list(rec.keys()):
                rec[header] = ""
    return recs


Instruction:
Here you have a function in Python 3, explain what it does
def resolve_file_name(fname, dir_path='.'):
    if not fname:
        return ''
    file_dir_path, file_name = os.path.split(fname)
    if (not file_dir_path) or (file_dir_path == '.'):
        full_file = os.path.join(dir_path, fname)
    else:
        full_file = fname
    return os.path.realpath(full_file)

Response: Parse file name information and output full path.