Python PyXMCDA.getCriteriaID方法代码示例

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def get_input_data(input_dir):
    file_names = (
        'alternatives.xml',
        'performanceTable.xml',
        'categoriesProfiles.xml',
        'criteria.xml',
        'profilesPerformanceTable.xml',
    )
    trees = get_trees(input_dir, file_names)

    alternatives = px.getAlternativesID(trees['alternatives'])
    criteria = px.getCriteriaID(trees['criteria'])
    pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
    thresholds = px.getConstantThresholds(trees['criteria'], criteria)
    performances = px.getPerformanceTable(trees['performanceTable'], None, None)
    profiles_performance_table = px.getPerformanceTable(trees['profilesPerformanceTable'], None, None)
    cp_tree = trees['categoriesProfiles']
    # we need only categories profiles' names
    categories_profiles = [p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')]

    ret = {
        'alternatives': alternatives,
        'categories_profiles': categories_profiles,
        'criteria': criteria,
        'performances': performances,
        'pref_directions': pref_directions,
        'profiles_performance_table': profiles_performance_table,
        'thresholds': thresholds,
    }
    return ret

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def output_criteria(filename, criteria_ids, xml_crit):
    oldCriteriaIDs = px.getCriteriaID(xml_crit)
    trivial = trivialCopy(xml_crit, oldCriteriaIDs)
    # critScale = px.getCriteriaScalesTypes(xml_crit, oldCriteriaIDs)
    # critThresholds = px.getConstantThresholds(xml_crit, oldCriteriaIDs)
    # critPreference = px.getCriteriaPreferenceDirections(xml_crit, oldCriteriaIDs)

    outfile = open(filename, "w")
    px.writeHeader(outfile)
    outfile.write("  <criteria>\n")
    for id in sorted(criteria_ids):
        oldID = getOriginalName(id)
        if not oldID in oldCriteriaIDs:
            pass
            # outfile.write('''
        # <criterion id="%s" name="%s"/>
        #''' % (id,id))
        else:
            # print trivial
            # print oldID
            outfile.write(
                """
        <criterion id="%s" name="%s">\n%s
        </criterion>"""
                % (id, id, trivial[oldID])
            )
    outfile.write("  </criteria>\n")
    px.writeFooter(outfile)
    outfile.close()

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
 def get_pref_directions(*args, **kwargs):
     criteria = px.getCriteriaID(trees['criteria'])
     pref_directions = px.getCriteriaPreferenceDirections(
         trees['criteria'],
         criteria,
     )
     return pref_directions  # dict

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def get_input_data(input_dir):
    file_names = (
        'alternatives.xml',
        'criteria.xml',
        'interactions.xml',
        'method_parameters.xml',
        'performance_table.xml',
        'weights.xml',
    )
    trees = get_trees(input_dir, file_names)

    alternatives = px.getAlternativesID(trees['alternatives'])
    criteria = px.getCriteriaID(trees['criteria'])
    pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
    thresholds = px.getConstantThresholds(trees['criteria'], criteria)
    weights = px.getCriterionValue(trees['weights'], criteria)
    performances = px.getPerformanceTable(trees['performance_table'], 1, 1)
    interactions = get_criteria_interactions(trees['interactions'], criteria)

    check_net_balance(interactions, weights)
    z_function = px.getParameterByName(trees['method_parameters'], 'z_function')

    ret = {
        'alternatives': alternatives,
        'criteria': criteria,
        'interactions': interactions,
        'performances': performances,
        'pref_directions': pref_directions,
        'thresholds': thresholds,
        'weights': weights,
        'z_function': z_function,
    }
    return ret

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
 def get_interactions(*args, **kwargs):
     criteria = px.getCriteriaID(trees['criteria'])
     interactions = _get_criteria_interactions(
         trees['interactions'],
         criteria,
     )
     return interactions  # dict

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def get_input_data(input_dir):
    file_names = (
        'alternatives.xml',
        'categoriesProfiles.xml',
        'criteria.xml',
        'performanceTable.xml',
        'profilesPerformanceTable.xml',
    )
    trees = get_trees(input_dir, file_names)

    alternatives = px.getAlternativesID(trees['alternatives'])
    criteria = px.getCriteriaID(trees['criteria'])
    pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
    thresholds = px.getConstantThresholds(trees['criteria'], criteria)
    performances = px.getPerformanceTable(trees['performanceTable'], None, None)
    categories_profiles = get_categories_profiles_central(trees['categoriesProfiles'])
    profiles_performance_table = px.getPerformanceTable(
        trees['profilesPerformanceTable'], None, None
    )

    ret = {
        'alternatives': alternatives,
        'categories_profiles': categories_profiles,
        'criteria': criteria,
        'performances': performances,
        'pref_directions': pref_directions,
        'profiles_performance_table': profiles_performance_table,
        'thresholds': thresholds,
    }
    return ret

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def parse_xmcda_files(in_weights, in_hierarchy, in_concorlevel, in_criteria, in_alternatives, in_performances):
    xml_crit = px.parseValidate(in_criteria)
    xml_alt = px.parseValidate(in_alternatives)
    xml_pt = px.parseValidate(in_performances)
    xml_weight = px.parseValidate(in_weights)
    xml_hierarchy = px.parseValidate(in_hierarchy)
    xml_concordance = px.parseValidate(in_concorlevel)
    if xml_crit == None:
        raise ValueError, ["Invalid criteria file"]
    if xml_alt == None:
        raise ValueError, ["Invalid alternative file"]
    if xml_pt == None:
        raise ValueError, ["Invalid performance table file"]
    if xml_weight == None:
        raise ValueError, ["Invalid weight file"]
    if xml_hierarchy == None:
        raise ValueError, ["Invalid assignment file"]
    if xml_concordance == None:
        raise ValueError, ["Invalid concordance file"]

    try:
        alternatives_ids = px.getAlternativesID(xml_alt)
        criteria_ids = px.getCriteriaID(xml_crit)
        performance_table = px.getPerformanceTable(xml_pt, alternatives_ids, criteria_ids)
        criteriaWeight = px.getCriterionValue(xml_weight, criteria_ids, 'Importance')
        preferenceDirections = px.getCriteriaPreferenceDirections(xml_crit, criteria_ids)
        hierarchyArray = get_hierarchy_array(xml_hierarchy)
        criteria_thresholds = px.getConstantThresholds(xml_crit, criteria_ids)
        concordanceCutLev = get_criterion_concordance_cutting_level_value(xml_concordance, 'Concordance')
    except:
        raise ValueError, ["Failed to parse one or more file"]
        return

    return alternatives_ids, criteria_ids, performance_table, criteriaWeight, preferenceDirections, hierarchyArray, criteria_thresholds, concordanceCutLev

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
 def get_weights(*args, **kwargs):
     criteria = px.getCriteriaID(trees['criteria'])
     if len(criteria) == 0:
         msg = (
             "File 'criteria.xml' doesn't contain valid data for this "
             "method."
         )
         raise InputDataError(msg)
     weights = px.getCriterionValue(trees['weights'], criteria)
     return weights  # dict

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
 def get_reinforcement_factors(*args, **kwargs):
     criteria = px.getCriteriaID(trees['criteria'])
     factors = {}
     for c in criteria:
         rf = px.getCriterionValue(
             trees['reinforcement_factors'],
             c,
             'reinforcement_factors'
         )
         if len(rf) == 0:
             continue
         if rf.get(c) <= 1:
             msg = (
                 "Reinforcement factor for criterion '{}' should be "
                 "higher than 1.0 (ideally between 1.2 and 1.5)."
             )
             raise InputDataError(msg)
         factors.update(rf)
     return factors  # dict

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def get_input_data(input_dir):
    file_names = (
        'alternatives.xml',
        'performanceTable.xml',
        'categoriesProfiles.xml',
        'criteria.xml',
        'profilesPerformanceTable.xml',
        'weights.xml',
    )
    trees = get_trees(input_dir, file_names)

    alternatives = px.getAlternativesID(trees['alternatives'])
    criteria = px.getCriteriaID(trees['criteria'])
    pref_directions = px.getCriteriaPreferenceDirections(trees['criteria'], criteria)
    thresholds = px.getConstantThresholds(trees['criteria'], criteria)
    weights = px.getCriterionValue(trees['weights'], criteria)
    performances = px.getPerformanceTable(trees['performanceTable'], 1, 1)

    # we can't assume that categories will be always available as a separate
    # input file, therefore it's better to extract them from categoriesProfiles
    cp_tree = trees['categoriesProfiles']
    categories = list(set(cp_tree.xpath('//categoriesProfiles//limits//categoryID/text()')))
    # since we just need names of categories profiles, it's better to get them like below
    # - otherwise, to get 'full' categories profiles, we should use this:
    # categories_profiles = px.getCategoriesProfiles(trees['categoriesProfiles'], categories)
    categories_profiles = [p for p in cp_tree.xpath('//categoriesProfiles//alternativeID/text()')]
    # last two args to getPerformanceTable are not used at all anyway...
    profiles_performance_table = px.getPerformanceTable(trees['profilesPerformanceTable'], None, None)

    ret = {
        'alternatives': alternatives,
        'categories_profiles': categories_profiles,
        'criteria': criteria,
        'performances': performances,
        'pref_directions': pref_directions,
        'profiles_performance_table': profiles_performance_table,
        'thresholds': thresholds,
        'weights': weights,
    }
    return ret

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def parse_xmcda_files(in_dir):
    xml_crit = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
    xml_alt = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
    xml_pt = PyXMCDA.parseValidate(in_dir+"/perfs_table.xml")
    xml_assign = PyXMCDA.parseValidate(in_dir+"/assign.xml")
    xml_cat = PyXMCDA.parseValidate(in_dir+"/categories.xml")

    if xml_crit == None:
        error_list.append("Invalid criteria file")
        return
    if xml_alt == None:
        error_list.append("Invalid alternative file")
        return
    if xml_pt == None:
        error_list.append("Invalid performance table file")
        return
    if xml_assign == None:
        error_list.append("Invalid assignment file")
        return
    if xml_cat == None:
        error_list.append("Invalid categories file")
        return

    try:
        alt_id = PyXMCDA.getAlternativesID(xml_alt)
        crit_id = PyXMCDA.getCriteriaID(xml_crit)
        pt = PyXMCDA.getPerformanceTable(xml_pt, alt_id, crit_id)
        cat_id = PyXMCDA.getCategoriesID(xml_cat)
        cat_rank = PyXMCDA.getCategoriesRank(xml_cat, cat_id)
        assign = PyXMCDA.getAlternativesAffectations(xml_assign)
        pref_dir = PyXMCDA.getCriteriaPreferenceDirections(xml_crit, crit_id)
    except:
        error_list.append("Failed to parse one or more file")
        return

    return (alt_id, crit_id, pt, cat_id, cat_rank, assign, pref_dir)

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def main(argv=None):
	if argv is None:
		argv = sys.argv
	
	parser = OptionParser()
	
	parser.add_option("-i", "--in", dest="in_dir")
	parser.add_option("-o", "--out", dest="out_dir")
	
	(options, args) = parser.parse_args(argv[1:])
	
	in_dir = options.in_dir
	out_dir = options.out_dir
	
	# Creating lists for error and log messages
	errorList = []
	logList = []
	
	# If some mandatory input files are missing
	if not os.path.isfile (in_dir+"/alternatives.xml") or not os.path.isfile (in_dir+"/criteria.xml") or not os.path.isfile (in_dir+"/alternativesComparisons.xml") or not os.path.isfile (in_dir+"/performanceTable.xml") :
		errorList.append("Some input files are missing")
	
	else :
		
		maxWeight = 0
		
		if os.path.isfile (in_dir+"/maxWeight.xml") :
			xmltree_maxWeight = PyXMCDA.parseValidate(in_dir+"/maxWeight.xml")
			if xmltree_maxWeight == None :
				errorList.append ("maxWeight file can't be validated.")
			else :
				maxWeight = PyXMCDA.getParameterByName (xmltree_maxWeight, "maxWeight")
				if not isinstance(maxWeight,int) :
					errorList.append ("maxWeight value should be a strictly positive integer")
				else :
					if maxWeight <= 0 :
						errorList.append ("maxWeightvalue should be a strictly positive integer")
			
			
		xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
		xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
		xmltree_altComparisons = PyXMCDA.parseValidate(in_dir+"/alternativesComparisons.xml")
		xmltree_perfTable = PyXMCDA.parseValidate(in_dir+"/performanceTable.xml")
		
		if xmltree_alternatives == None :
			errorList.append("The alternatives file can't be validated.")
		if xmltree_criteria == None :
			errorList.append("The criteria file can't be validated.")
		if xmltree_perfTable == None :
			errorList.append("The performance table file can't be validated.")
		if xmltree_altComparisons == None :
			errorList.append("The alternatives comparisons file can't be validated.")
	
		if not errorList :
		
			alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
			criteriaId = PyXMCDA.getCriteriaID(xmltree_criteria)
			perfTable = PyXMCDA.getPerformanceTable(xmltree_perfTable, alternativesId, criteriaId)
			thresholds = PyXMCDA.getConstantThresholds (xmltree_criteria, criteriaId)
			altComparisons = PyXMCDA.getAlternativesComparisons (xmltree_altComparisons, alternativesId)
			
			criComparisons = {}
			if os.path.isfile (in_dir+"/criteriaComparisons.xml") :
				xmltree_criComparisons = PyXMCDA.parseValidate(in_dir+"/criteriaComparisons.xml")
				if xmltree_criComparisons == None :
					errorList.append ("criteriaComparisons file can't be validated")
				else :
					criComparisons = PyXMCDA.getCriteriaComparisons (xmltree_criComparisons, criteriaId)
			
			criLB = {}
			if os.path.isfile (in_dir+"/criteriaLowerBounds.xml") :
				xmltree_criLB = PyXMCDA.parseValidate(in_dir+"/criteriaLowerBounds.xml")
				if xmltree_criLB == None :
					errorList.append ("criteriaLowerBounds file can't be validated")
				else :
					criLB = PyXMCDA.getCriterionValue (xmltree_criLB, criteriaId)
					
			criUB = {}
			if os.path.isfile (in_dir+"/criteriaUpperBounds.xml") :
				xmltree_criUB = PyXMCDA.parseValidate(in_dir+"/criteriaUpperBounds.xml")
				if xmltree_criUB == None :
					errorList.append ("criteriaUpperBounds file can't be validated")
				else :
					criUB = PyXMCDA.getCriterionValue (xmltree_criUB, criteriaId)
					
			
			if not alternativesId :
				errorList.append("No alternatives found. Is your alternatives file correct ?")
			if not criteriaId :
				errorList.append("No criteria found. Is your criteria file correct ?")
			if not perfTable :
				errorList.append("No performance table found. Is your performance table file correct ?")
			#if not altComparisons :
			#	errorList.append("No alternatives comparisons found. Is your file correct ?")
			if not thresholds :
				errorList.append("Problem when retrieving the thresholds. The thresholds need to be constant.")
		
	if not errorList :
	
		p = subprocess.Popen(['ampl'], shell=False, bufsize=0,stdin=subprocess.PIPE, stdout=subprocess.PIPE, stderr=subprocess.PIPE, close_fds=True)
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def main(argv=None):
	if argv is None:
		argv = sys.argv
	
	parser = OptionParser()
	
	parser.add_option("-i", "--in", dest="in_dir")
	parser.add_option("-o", "--out", dest="out_dir")
	
	(options, args) = parser.parse_args(argv[1:])
	
	in_dir = options.in_dir
	out_dir = options.out_dir
	
	critAverage = {}
	critNormalSD = {}
	critTriangSD = {}
	
	# Creating a list for error messages
	errorList = []
	
	# If some mandatory input files are missing
	if not os.path.isfile (in_dir+"/alternatives.xml") or not os.path.isfile (in_dir+"/criteria.xml") :
		errorList.append("Some input files are missing")
	
	else :
		
		# We parse all the mandatory input files
		xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
		xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
		
		# We check if all madatory input files are valid
		if xmltree_alternatives == None :
			errorList.append("The alternatives file can't be validated.")
		if xmltree_criteria == None :
			errorList.append("The criteria file can't be validated.")
	
		if not errorList :
		
			alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
			criteriaId = PyXMCDA.getCriteriaID(xmltree_criteria)
			
			if not alternativesId :
				errorList.append("No alternatives found. Is your alternatives file correct ?")
			if not criteriaId :
				errorList.append("No criteria found. Is your criteria file correct ?")
	
	if not errorList :
	
		# We check if parameters for criteria distribution profile have been provided
		if os.path.isfile (in_dir+"/criteriaProfiles.xml") :
			xmltree_CritProfile = PyXMCDA.parseValidate(in_dir+"/criteriaProfiles.xml")
			if xmltree_CritProfile == None :
				errorList.append ("criteriaProfiles file can't be validated.")
			else :
				critAverage = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "distributionAverage")
				critNormalSD = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "normalDistributionStandardDeviation")
				critTriangSD = PyXMCDA.getNamedParametersByName (xmltree_CritProfile, "triangularDistributionStandardDeviation")
				# ...
				
	if not errorList :
	
		# We check if a seed is provided for the random generation
		if os.path.isfile (in_dir+"/seed.xml") :
			xmltree_seed = PyXMCDA.parseValidate(in_dir+"/seed.xml")
			if xmltree_seed == None :
				errorList.append ("seed file can't be validated.")
			else :
				seed = PyXMCDA.getParameterByName (xmltree_seed, "seed")
				if not isinstance(seed,int) :
					errorList.append ("seed value should be a strictly positive integer")
				else :
					if seed <= 0 :
						errorList.append ("seed should be a strictly positive integer")
					else:
						# We initialize the random generator
						random.seed(seed)
						
	if not errorList :
	
		for i in range(20):
			print random.random()
	
		# We recover criteria scale information
		criteriaTypes = PyXMCDA.getCriteriaScalesTypes (xmltree_criteria, criteriaId)
		criteriaDir = PyXMCDA.getCriteriaPreferenceDirections (xmltree_criteria, criteriaId)
		criteriaUB = PyXMCDA.getCriteriaUpperBounds (xmltree_criteria, criteriaId)
		criteriaLB = PyXMCDA.getCriteriaLowerBounds (xmltree_criteria, criteriaId)
		criteriaRL = PyXMCDA.getCriteriaRankedLabel (xmltree_criteria, criteriaId)
		
		# We add some default lower and upper bounds
		for crit in criteriaId :
			if not criteriaLB.has_key (crit) or criteriaLB[crit] == None :
				if criteriaTypes[crit] == "quantitative" :
					criteriaLB[crit] = 0.0
				else :
					criteriaLB[crit] = 1
			if not criteriaUB.has_key (crit) or criteriaUB[crit] == None :
				if criteriaTypes[crit] == "quantitative" :
					criteriaUB[crit] = 100.0
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]
def main(argv=None):
	if argv is None:
		argv = sys.argv
	
	parser = OptionParser()
	
	parser.add_option("-i", "--in", dest="in_dir")
	parser.add_option("-o", "--out", dest="out_dir")
	
	(options, args) = parser.parse_args(argv[1:])
	
	in_dir = options.in_dir
	out_dir = options.out_dir
	
	# Creating a list for error messages
	errorList = []
	
	# If some mandatory input files are missing
	if not os.path.isfile (in_dir+"/alternatives.xml") or not os.path.isfile (in_dir+"/criteria.xml") or not os.path.isfile (in_dir+"/criteriaWeights.xml") or not os.path.isfile (in_dir+"/performanceTable.xml") :
		errorList.append("Some input files are missing")
	
	else :
		
		# We parse all the mandatory input files
		xmltree_alternatives = PyXMCDA.parseValidate(in_dir+"/alternatives.xml")
		xmltree_criteria = PyXMCDA.parseValidate(in_dir+"/criteria.xml")
		xmltree_weights = PyXMCDA.parseValidate(in_dir+"/criteriaWeights.xml")
		xmltree_perfTable = PyXMCDA.parseValidate(in_dir+"/performanceTable.xml")
		
		# We check if all madatory input files are valid
		if xmltree_alternatives == None :
			errorList.append("The alternatives file can't be validated.")
		if xmltree_criteria == None :
			errorList.append("The criteria file can't be validated.")
		if xmltree_perfTable == None :
			errorList.append("The performance table file can't be validated.")
		if xmltree_weights == None :
			errorList.append("The criteria weights file can't be validated.")
		
		if not errorList :
		
			alternativesId = PyXMCDA.getAlternativesID(xmltree_alternatives)
			criteriaId = PyXMCDA.getCriteriaID(xmltree_criteria)
			perfTable = PyXMCDA.getPerformanceTable(xmltree_perfTable, alternativesId, criteriaId)
			thresholds = PyXMCDA.getConstantThresholds (xmltree_criteria, criteriaId)
			weights = PyXMCDA.getCriterionValue (xmltree_weights, criteriaId)
		
			if not alternativesId :
				errorList.append("No alternatives found. Is your alternatives file correct ?")
			if not criteriaId :
				errorList.append("No criteria found. Is your criteria file correct ?")
			if not perfTable :
				errorList.append("No performance table found. Is your performance table file correct ?")
			if not weights :
				errorList.append("No weights found. Is your weights file correct ?")
	
	
	if not errorList :
	
		# We check if a criterion weight is defined for all the active criteria
		for crit in criteriaId :
			if not weights.has_key(crit) :
				errorList.append("There is no defined weight for criterion "+crit+".")
		
		
	if not errorList :
		
		# We compute the weighted sum for all the active alternatives
		fileAltValues = open(out_dir+"/alternativesValues.xml", 'w')
		PyXMCDA.writeHeader (fileAltValues)
		
		fileAltValues.write ("<alternativesValues>\n")
		
		for alt in alternativesId :
		
			fileAltValues.write("<alternativeValue><alternativeID>"+alt+"</alternativeID><value>")
			sum = 0.0
			errorAlt = False
	
			for crit in criteriaId :
				
				try :
					sum = sum + weights[crit] * perfTable[alt][crit]
				except :
					errorList.append("No evaluation found for alternative "+alt+" on criterion "+crit+" in the performance table.")
					errorAlt = True
		
			if not errorAlt :	
				fileAltValues.write ("<real>"+str(sum)+"</real></value></alternativeValue>\n")
			else :
				fileAltValues.write ("<NA>not available</NA></value></alternativeValue>\n")
			
		fileAltValues.write ("</alternativesValues>")
		
		PyXMCDA.writeFooter(fileAltValues)
		fileAltValues.close()
	
	# Creating log and error file, messages.xml
	fileMessages = open(out_dir+"/messages.xml", 'w')
	PyXMCDA.writeHeader (fileMessages)
#.........这里部分代码省略.........

# 需要导入模块: import PyXMCDA [as 别名]
# 或者: from PyXMCDA import getCriteriaID [as 别名]

#.........这里部分代码省略.........
            if comparison_with in ("boundary_profiles", "central_profiles"):
                categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
            if comparison_with == "profiles":
                profiles = px.getProfilesID(trees["profiles"])

            d.concordance = _get_alternatives_comparisons(
                trees["concordance"],
                alternatives,
                profiles=profiles,
                categories_profiles=categories_profiles,
                use_partials=use_partials,
                use_value=False,
            )

        elif p == "credibility":
            alternatives = px.getAlternativesID(trees["alternatives"])
            comparison_with = kwargs.get("comparison_with")
            if not comparison_with:
                comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
            if comparison_with in ("boundary_profiles", "central_profiles"):
                categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
            else:
                categories_profiles = None
            eliminate_cycles_method = px.getParameterByName(trees.get("method_parameters"), "eliminate_cycles_method")
            tree = trees.get("credibility")
            if eliminate_cycles_method == "cut_weakest" and tree is None:
                raise RuntimeError(
                    "'cut_weakest' option requires credibility as " "an additional input (apart from outranking)."
                )
            d.credibility = _get_alternatives_comparisons(tree, alternatives, categories_profiles=categories_profiles)

        elif p == "criteria":
            if trees.has_key("criteria"):
                d.criteria = px.getCriteriaID(trees["criteria"])

        elif p == "cut_threshold":
            cut_threshold = px.getParameterByName(trees["method_parameters"], "cut_threshold")
            if cut_threshold is None or not (0 <= float(cut_threshold) <= 1):
                raise RuntimeError(
                    "'cut_threshold' should be in range [0, 1] " "(most commonly used values are 0.6 or 0.7)."
                )
            d.cut_threshold = cut_threshold

        # 'cv_crossed' == 'counter-veto crossed'
        elif p == "cv_crossed":
            alternatives = px.getAlternativesID(trees["alternatives"])
            comparison_with = px.getParameterByName(trees["method_parameters"], "comparison_with")
            if comparison_with in ("boundary_profiles", "central_profiles"):
                categories_profiles = _get_categories_profiles(trees["categories_profiles"], comparison_with)
            else:
                categories_profiles = None
            d.cv_crossed = _get_alternatives_comparisons(
                trees["counter_veto_crossed"],
                alternatives,
                categories_profiles=categories_profiles,
                use_partials=True,
                mcda_concept="counterVetoCrossed",
            )

        elif p == "discordance":

            alternatives = px.getAlternativesID(trees["alternatives"])

            comparison_with = kwargs.get("comparison_with")

            if trees.has_key("methos_parameters"):