From 858ef70c1aab0057f0cff73901ed63ddc98031a4 Mon Sep 17 00:00:00 2001 From: j--- Date: Tue, 10 Nov 2020 11:10:00 -0500 Subject: [PATCH 1/4] Added python script to convert CSV files to latex for tree viz (#62) --- src/README.md | 19 +++ src/SSVC_csv-to-latex.py | 323 +++++++++++++++++++++++++++++++++++++++ 2 files changed, 342 insertions(+) create mode 100644 src/README.md create mode 100755 src/SSVC_csv-to-latex.py diff --git a/src/README.md b/src/README.md new file mode 100644 index 00000000..84b8f226 --- /dev/null +++ b/src/README.md @@ -0,0 +1,19 @@ +# Code + +This directory holds helper scripts that can make managing or using SSVC easier. + +## csv-to-latex + +This python script takes a CSV of the format in the `../data` directory and gets you (most of the way) to a pretty decision tree visualization. It creates a LaTeX file that can create a PDF (and from there, a PNG or whatever you want). + +`python SSVC_csv-to-latex.py --help` works and should explain all your options. +When the script finishes, it will also print a message with instructions for creating the PDF or PNG from the tex. A potential future improvement is to call `latexmk` directly from the python script. + +Example usage: +``` + python SSVC_csv-to-latex.py --input=../data/ssvc_2_deployer_simplified.csv --output=tmp.tex --delim="," --columns="0,2,1" --label="3" --header-row --priorities="defer, scheduled, out-of-cycle, immediate" +``` + +Dependencies: LaTeX. +To install latex, see https://www.latex-project.org/get/ +`latexmk` is a helper script that is not included in all distributions by default; if you need it, see https://ctan.org/pkg/latexmk/?lang=en diff --git a/src/SSVC_csv-to-latex.py b/src/SSVC_csv-to-latex.py new file mode 100755 index 00000000..501d54d1 --- /dev/null +++ b/src/SSVC_csv-to-latex.py @@ -0,0 +1,323 @@ +#!/usr/bin/python +########## +## put import statements here +import optparse, sys, string, glob, re +from optparse import OptionParser +############################################################################## + +def initialize_options(): + parser = optparse.OptionParser(description = """Take a CSV file as input + that describes a decision tree exhaustively, and produce a LaTeX + file that will make a pretty version of the tree.""") + parser.add_option("-i", "--input", dest='filelist', type='string', \ + default='stdin', help="input file(s). may be a glob, but will run all \ + output together. Defaults to standard input.") + parser.add_option("-o", "--output", dest='out_file', type='string',\ + default = 'stdout', help="Defaults to stdout.") + parser.add_option("-d", "--delim", default=" ", help="identifies delimiter\ + for the input data (--input). May be any number of characters. Tab default") + ########## + ## put other option definitions here + parser.add_option("-l", "--label", default="5", type ='int', + help="identifies column in input file that contains the label for the leaf\ + node. For SSVC, this label is the decision. These are python list ranges,\ + so first column is 0.") + parser.add_option("-c", "--columns", default="1,2,3,4", type ='string', + help="identifies columns in input file to use, and the order to use them.\ + Should be in the form of a comma-separated list, such as 2,4,3.\ + Python list ranges start at 0.") + parser.add_option("--header-row", action='store_true', + dest='headerRow', + help="Boolean indicating whether the input file has a header row with names\ + for the columns. Default is to expect a header row. \ + To use --names, --no-header-row must be set") + parser.add_option("-H", "--no-header-row", action='store_false', + dest='headerRow', + help="Boolean indicating whether the input file has a header row with names\ + for the columns. To use --names, --no-header-row must be set") + parser.add_option("-n", "--names", type='string', + default="Exploitation,Virulence,Technical Impact,Situated Impact", + help="Names to use to identify the columns in -c. Comma-separated list.\ + Please don't use a header row in the input file.") + parser.add_option("-p", "--priorities", type='string', + default="Defer, Scheduled, Out-of-Cycle,Immediate", + help="Ranked list, lowest to highest, of the labels for the decisions.\ + These need to match the values in the CVS file exactly.\ + Please input as a comma-separated list, no spaces. Current max is 5.") + ############################################################################## + #### Set Boolean defaults + parser.set_defaults(headerRow=True) + ############################################################################## + return parser + +########## +## put other method definitions here +def print_preamble(location): + """ + This just prints a reasonable latex preamble as a string literal. + It's all hard-coded for now. Also begins the latex document. + Note that \ u is interpreted as a unicode start symbol, even in trip quotes. + \ a t and b have similar problems, and need to be escaped. + """ + # standalone class instead of article as recommended here: + # https://tex.stackexchange.com/questions/11866/compile-a-latex-document-into-a-png-image-thats-as-short-as-possible + location.write(""" +\documentclass[10pt,preview]{standalone} +\\usepackage[utf8]{inputenc} +\\usepackage[english]{babel} +\\usepackage{amsmath} +\\usepackage{amsfonts} +\\usepackage{amssymb} +\\usepackage[left=1.5cm,right=1.5cm,top=2cm,bottom=2cm,pdftex]{geometry} +\\usepackage{tikz} +\\usepackage[edges]{forest} +\\usetikzlibrary{arrows.meta} + +\\author{Jonathan Spring} +\\title{Draft decision trees for vulnerability management} + + +\\begin{document} +\pagestyle{empty} + """) + +def print_forest_options(location, priorities = ["Defer", "Scheduled", + "Out-of-band","Immediate"]): + """ + Global forest options, which are mostly the defs for the labels. + Remember to escape the backslashes. + As with print_preamble, there is limited flexibility here, but the names of + the priority labels can be given as string inputs to the array "priorities" + If the provided labels have special LaTeX characters, the method makes an + effort to remove them. + """ + while len(priorities) < 5: + priorities.append("") + # pad list. If it's too long, those labels just won't be used + + for i in range(len(priorities)): + priorities[i] = re.sub(r'[_^$%&#{}\\]', '', priorities[i]) + # based on https://gist.github.com/jomigo96/6a040d4e4ad384bccd81c9a65e5cd210 + # this should remove the most common Latex control characters + + # There is a danger here that the decision labels may be processed as code + # within the scope of the tikzset command + # but doing this makes printing the right command easier, since it is + # just the decision label in the graph is also the name of the style. + pri1string = str(priorities[0] + + "/.style={outcome, fill=gray, thick, draw=green, label=right:{" + + priorities[0] + "}}\n") + pri2string = str(priorities[1] + + "/.style={outcome, fill=yellow, thick, dashed, draw=yellow, label=right:{" + + priorities[1] + "}}\n") + pri3string = str(priorities[2] + + "/.style={outcome, fill=orange, thick, draw=orange, label=right:{" + + priorities[2] + "}}\n") + pri4string = str(priorities[3] + + "/.style={outcome, fill=red, thick, draw=black, label=right:{" + + priorities[3] + "}}\n") + pri5string = str(priorities[4] + + "/.style={outcome, fill=black, thick, dashed, draw=gray, label=right:{" + + priorities[4] + "}}\n") + + # write the forest options + location.write(""" +\\forestset{ +my label/.style={edge label={node [pos=0.75,above,font=\scriptsize] {#1}} }, +} +% +\\tikzset{ +outcome/.style={shape=isosceles triangle,, shape border rotate=180, minimum height=0.4cm, minimum width=0.07cm} +} +\\tikzset{ +""") + location.write(pri1string) + location.write("""} +\\tikzset{ +""") + location.write(pri2string) + location.write("""} +\\tikzset{ +""") + location.write(pri3string) + location.write("""} +\\tikzset{ +""") + location.write(pri4string) + location.write("""} +\\tikzset{ +""") + location.write(pri5string) + location.write("}\n") #close the last tikzset; forestset is already closed + + +def begin_forest(location): + """This text begins a forest within the LaTeX document. These are + options specific to this tree. This could be used multiple times in one + LaTeX document, but if we are just going to have to split the PDF later + then don't bother. These have been tuned reasonably well, but could change. + Make sure there are no empty lines between the begin and end statements. + Escape backslashes. + """ + location.write(""" +\\footnotesize +\\noindent +\\begin{forest} +for tree={s sep*=0.33, l sep=20mm, child anchor=west, anchor=west, grow=east, calign=center, tier/.pgfmath=level()}, forked edges, + """) + + +############################################################################## + +def main(): + parser = initialize_options() + (options, args) = parser.parse_args() + f_iter = glob.glob(options.filelist) + delim = options.delim + if delim is not None: delimlen = len(delim) + if options.out_file in ('-', 'stdout'): + ofile = sys.stdout + else: + ofile = open(options.out_file, 'w') + ########## + ## recover other options here + label = options.label + columns = options.columns.split(',') + depth = len(columns) #depth of the tree + for i in range(depth): + columns[i] = int(columns[i]) + headerRow = options.headerRow + if not headerRow: + names = options.names.split(',') + else: + # if headerRow is true, need to recover names after file is read + names = [None] * depth + priorities = (options.priorities.split(',')) + ############################################################################## + + ########## + ## initialize variables here + lines = [] + graph = {} + dpoint_values = [[] for i in range(depth)] # decision point values + # creates an empty list to store decision values for each column + sort_order = [[] for i in range(depth)] # to preserve order in file + counts = [0 for i in range(depth)] # decision point values + #tracking path traversal at each level of the tree + tmp_path = [] # for tracking our place in the tree + latex_brace_close = "] " + "\n" #how we close a part of the tree in TeX + ############################################################################## + for file in f_iter: + if file in ('-', 'stdin'): + handle = sys.stdin + use_stdin = True + else: + handle = open(file, 'r') + use_stdin = False + try: + ########## + ## read the input files here. To catch ingest errors, nest a try block + lines = lines + handle.readlines() # will need to strip whitespace + finally: + if not use_stdin: + handle.close() + + ########## + ## do whatever else you have to do here + print_preamble(ofile) + # This just prints the fairly static front matter. + print_forest_options(location = ofile, priorities = priorities) + # The labels for decisions are changable, these should be cmd line configs + + if headerRow: + tmp_names = lines.pop(0).split(',') + for i in range(depth): + names[i] = tmp_names[columns[i]] + # columns is the order the columns will be used, so make sure the + # labels read from the file match that order + + for line in lines: + path = [] + tmp = line.strip().split(delim) + i = 0 # index for sort order matrix + for col in columns: + path.append(tmp[col]) + if tmp[col] not in sort_order[i]: + sort_order[i].append(tmp[col]) + i += 1 + graph[tuple(path)] = tmp[label] + # once we've constructed the path, to hash it it must be immutable + + paths = list(graph) + for path in paths: + for i in range(depth): + if path[i] not in dpoint_values[i]: + dpoint_values[i].append(path[i]) + for i in range(depth): + dpoint_values[i].sort(key = lambda j: sort_order[i].index(j), reverse=True) + # reverse because the latex will flip it again + # loop twice so we don't sort every time we check a new path + + # Now take this "graph" structure and print the latex for the tree. + begin_forest(ofile) + + ofile.write(str("[" + names[0] + ", rectangle, draw," + "\n")) + #The root is special, and has no label. Only happens once. + + i = 0 + while i >= 0: + outstring = "" + if i == depth - 1: #off by one error if we just test == depth + # last layer needs to include decision labels + for j in range(len(dpoint_values[i])): + # this loop is for printing intermediate tree nodes (not root and not leaf) + # The latex requires a nested structure just like the tree. + label = dpoint_values[i][j] + tmp_path.append(label) + ofile.write("[, " + graph[tuple(tmp_path)] + ", my label={" + label + "} ]" + "\n") + del tmp_path[-1] + i = i - 1 + ofile.write(latex_brace_close) #close each latex brace + del tmp_path[-1] # every time we close a brace, update the path to reflect + else: # "Normal" case + if counts[i] == len(dpoint_values[i]): + try: + del tmp_path[-1] + except IndexError: + tmp_path = [] # basically this just allows us to reach the loop exit + ofile.write(latex_brace_close) + counts[i] = 0 + i = i - 1 + continue + else: # This section is for printing leaf labels + current = counts[i] + counts[i] += 1 + label = dpoint_values[i][current] + tmp_path.append(label) + outstring = str("[" + names[i+1] + ", rectangle, draw, my label={" + + label + "}," +"\n") + ofile.write(outstring) + i += 1 + + #ofile.write(latex_brace_close) # close the initial brace befoer the loop. + # The last pass through the loop produces the requisite extra brace close + ofile.write(str("\end{forest}" + "\n")) + ofile.write(str("\end{document}" + "\n")) + + ############################################################################## + + ofile.close() + print("""If everything went OK, then you should be able to create a PDF from \ +the .tex file I just made by running: + latexmk -pdf $file +Then you can remove all the extraneous latex files with: + latexmk -c $file +You can also remove the .tex file, I can always make it again. +To make the PNG files for the HTML output document, use GhostScript: + gs -dSAFER -dBATCH -dNOPAUSE -sDEVICE=pngalpha -dBackgroundColor=16#ffffff -dMinFeatureSize=2 -sOutputFile=tree.png $pdf \ + """) + # See https://www.ghostscript.com/doc/current/Devices.htm#PNG + return 0 # if nothing goes wrong, return success for the exit code. + +if __name__ == "__main__": + sys.exit(main()) From 223eef4ff5275f2ba80180559c3d21e601248ddc Mon Sep 17 00:00:00 2001 From: j--- Date: Tue, 10 Nov 2020 11:13:24 -0500 Subject: [PATCH 2/4] Fix22 (#63) * Added python script to convert CSV files to latex for tree viz * Added discussion of text version of decision trees to sections 3 and 4. * Delete SSVC_csv-to-latex.py * Delete README.md --- doc/version_1/030_representingInformation.md | 151 +- doc/version_1/047_treesForVulMgmt_4.md | 29 + .../gfx/cvss_tree_score-severity.txt | 3926 +++++++++++++++++ 3 files changed, 4078 insertions(+), 28 deletions(-) create mode 100755 doc/version_1/gfx/cvss_tree_score-severity.txt diff --git a/doc/version_1/030_representingInformation.md b/doc/version_1/030_representingInformation.md index 069c026c..3d51b2b7 100644 --- a/doc/version_1/030_representingInformation.md +++ b/doc/version_1/030_representingInformation.md @@ -1,23 +1,49 @@ - # Representing Information for Decisions About Vulnerabilities -We chose to build our model with decisions as the central concept. We propose that decisions—rather than severity—are a more useful output. Our design requirements for an adequate decision-making process is that it clearly define whose decisions are involved, properly use evidentiary categories, be based on reliably available evidence, be transparent, and be explainable. Our inspiration and justification for these design goals is that they are the features of a satisfactory scientific enterprise [@spring2017why] adapted to this vulnerability management problem. - -To consider decisions about managing the vulnerability rather than just technical severity, one must be clear about whose decisions are involved. Organizations that produce patches and fix software clearly have different decisions to make than those that deploy patches or other security mitigations. Furthermore, organizations in the aviation industry have different priorities than organizations that make word processors. These differences indicate a requirement: any formalism must be able to capture adequately the different decisions and priorities exhibited by different stakeholder groups. And as a usability requirement, the number of stakeholder groups needs to be small enough to be manageable, both by those issuing scores and those seeking them. - -The goal of adequacy is more appropriate than optimality. Our search process need not be exhaustive; we are satisficing rather than optimizing [@simon1996sciences]. Satisficing is more appropriate to qualitative criteria; we do not need to order different methods as to which are more transparent than others, for example. Finding any system that meets all of desired criteria is enough. - -Decisions are not numbers. Decisions are qualitative actions that an organization can take. In many cases, numerical values can be directly converted to qualitative decisions. For example, if your child’s temperature is 105°F (40.5°C), you decide to go to the hospital. Conversion from numerical to qualitative values can be complicated by measurement uncertainty and the design of the metrics. For example, CVSS scores were designed to be accurate with +/- 0.5 points of the given score [@cvss_v3-1, section 7.5]. If we take the recommended dividing line between high and critical—9.0—then it is unclear how to convert a CVSSv3.0 score of 8.9. - -For example, under a Gaussian error distribution, 8.9 is really 60\% high and 40\% critical. We want decisions to be distinct and crisp; statistical overlaps of scores within 1.0 unit, for example, would muddy decision recommendations. - -We avoid numerical representations and consider only qualitative data as inputs and outputs for any vulnerability management decision process. Quantified metrics are more useful when (1) data for decision making is available, and (2) the stakeholders agree on how to measure. Vulnerability management does not yet meet either criterion. Furthermore, it is not clear to what extent measurements about a vulnerability can be informative about other vulnerabilities. Each vulnerability has a potentially unique relationship to the socio-technical system in which it exists, including the internet. The context of the vulnerability, and the systems it impacts, are inextricably linked to managing it. Temporal and environmental considerations should be primary, not optional as they are in CVSS. - -We make the deliberation process as clear as practical; therefore, we risk belaboring some points to ensure our assumptions and reasoning are explicit. Transparency should improve trust in the results. - -Finally, any result of a decision-making process should be **explainable**. (Explainable is defined and used with its common meaning. This meaning is not the same as “explainable,” as used in the research area of explainable artificial intelligence.) An explanation should make the process intelligible to an interested, competent, non-expert person. There are at least two reasons common explainability is important: (1) for troubleshooting and error correction and (2) for justifying proposed decisions. +We chose to build our model with decisions as the central concept. +We propose that decisions—rather than severity—are a more useful output. +Our design requirements for an adequate decision-making process is that it clearly define whose decisions are involved, properly use evidentiary categories, be based on reliably available evidence, be transparent, and be explainable. +Our inspiration and justification for these design goals is that they are the features of a satisfactory scientific enterprise [@spring2017why] adapted to this vulnerability management problem. + +To consider decisions about managing the vulnerability rather than just technical severity, one must be clear about whose decisions are involved. +Organizations that produce patches and fix software clearly have different decisions to make than those that deploy patches or other security mitigations. +Furthermore, organizations in the aviation industry have different priorities than organizations that make word processors. +These differences indicate a requirement: any formalism must be able to capture adequately the different decisions and priorities exhibited by different stakeholder groups. +And as a usability requirement, the number of stakeholder groups needs to be small enough to be manageable, both by those issuing scores and those seeking them. + +The goal of adequacy is more appropriate than optimality. +Our search process need not be exhaustive; we are satisficing rather than optimizing [@simon1996sciences]. +Satisficing is more appropriate to qualitative criteria; we do not need to order different methods as to which are more transparent than others, for example. +Finding any system that meets all of desired criteria is enough. + +Decisions are not numbers. +Decisions are qualitative actions that an organization can take. +In many cases, numerical values can be directly converted to qualitative decisions. +For example, if your child’s temperature is 105°F (40.5°C), you decide to go to the hospital. +Conversion from numerical to qualitative values can be complicated by measurement uncertainty and the design of the metrics. +For example, CVSS scores were designed to be accurate with +/- 0.5 points of the given score [@cvss_v3-1, section 7.5]. +If we take the recommended dividing line between high and critical—9.0—then it is unclear how to convert a CVSSv3.0 score of 8.9. + +For example, under a Gaussian error distribution, 8.9 is really 60\% high and 40\% critical. +We want decisions to be distinct and crisp; statistical overlaps of scores within 1.0 unit, for example, would muddy decision recommendations. + +We avoid numerical representations and consider only qualitative data as inputs and outputs for any vulnerability management decision process. +Quantified metrics are more useful when (1) data for decision making is available, and (2) the stakeholders agree on how to measure. +Vulnerability management does not yet meet either criterion. +Furthermore, it is not clear to what extent measurements about a vulnerability can be informative about other vulnerabilities. +Each vulnerability has a potentially unique relationship to the socio-technical system in which it exists, including the internet. +The context of the vulnerability, and the systems it impacts, are inextricably linked to managing it. +Temporal and environmental considerations should be primary, not optional as they are in CVSS. + +We make the deliberation process as clear as practical; therefore, we risk belaboring some points to ensure our assumptions and reasoning are explicit. +Transparency should improve trust in the results. + +Finally, any result of a decision-making process should be **explainable**. +(Explainable is defined and used with its common meaning. +This meaning is not the same as “explainable,” as used in the research area of explainable artificial intelligence.) An explanation should make the process intelligible to an interested, competent, non-expert person. +There are at least two reasons common explainability is important: (1) for troubleshooting and error correction and (2) for justifying proposed decisions. To summarize, the following are our design goals for a vulnerability management process: @@ -38,13 +64,35 @@ management process: ## Formalization Options -This section briefly surveys the available formalization options against the six requirements described above. Table 1 summarizes the results. This survey is opportunistic, and is based on conversations with several experts and our professional experience. The search process leaves open the possibility of missing a better option. However, at the moment, we are searching for a satisfactory formalism, rather than an optimal one. We need to search only until a satisfactory option is found. Thus, we focus on highlighting why some common options or suggestions do not meet the above criteria. We argue that decision trees are a satisfactory formalism. - -We rule out many quantitative options, such as anything involving statistical regression techniques or Bayesian belief propagation. Most machine learning (ML) algorithms are also not suitable because they are both unexplainable (in our sense) and quantitative. Random forest algorithms may appear in scope since each individual decision tree can be traced and the decisions explained [@russell2011artificial]. However, it’s not transparent enough to simply know how the available decision trees are created or mutated and why a certain set of them works better. In any case, random forests are necessary only when decision trees get too complicated for humans to manage. We demonstrate below that in vulnerability management, useful decision trees are small enough for humans to manage. - -Logics are generally better suited for capturing qualitative decisions. Boolean first-order logic is the “usual” logic—with material implication (if/then), negation, existential quantification, and predicates. For example, in program verification, satisfiability problem (SAT) and satisfiability modulo theories (SMT) solvers are used to automate decisions about when some condition holds or whether software contains a certain kind of flaw. However, while the explanations provided by logical tools are accessible to experts, non-experts may struggle. However, under special conditions, logical formulae representing decisions about categorization based on exclusive-or conditions can be more compactly and intelligibly represented as a decision tree. - -Decision trees are used differently in operations research than in ML. In ML, decision trees are used as a predictive model to classify a target variable based on dependent variables. In operations research and decision analysis, a decision tree is a tool used to document a human process. In decision analysis “decision analysts frequently use specialized tools, such as decision tree techniques, to evaluate uncertain situations. Unfortunately, many people, some of them educators, have confused decision analysis with decision trees. This is like confusing surgery with the scalpel” [@howard1983readings, viii]. We use decision trees in the tradition of decision analysis, not ML. +This section briefly surveys the available formalization options against the six requirements described above. +Table 1 summarizes the results. +This survey is opportunistic, and is based on conversations with several experts and our professional experience. +The search process leaves open the possibility of missing a better option. +However, at the moment, we are searching for a satisfactory formalism, rather than an optimal one. +We need to search only until a satisfactory option is found. +Thus, we focus on highlighting why some common options or suggestions do not meet the above criteria. +We argue that decision trees are a satisfactory formalism. + +We rule out many quantitative options, such as anything involving statistical regression techniques or Bayesian belief propagation. +Most machine learning (ML) algorithms are also not suitable because they are both unexplainable (in our sense) and quantitative. +Random forest algorithms may appear in scope since each individual decision tree can be traced and the decisions explained [@russell2011artificial]. +However, it’s not transparent enough to simply know how the available decision trees are created or mutated and why a certain set of them works better. +In any case, random forests are necessary only when decision trees get too complicated for humans to manage. +We demonstrate below that in vulnerability management, useful decision trees are small enough for humans to manage. + +Logics are generally better suited for capturing qualitative decisions. +Boolean first-order logic is the “usual” logic—with material implication (if/then), negation, existential quantification, and predicates. +For example, in program verification, satisfiability problem (SAT) and satisfiability modulo theories (SMT) solvers are used to automate decisions about when some condition holds or whether software contains a certain kind of flaw. +However, while the explanations provided by logical tools are accessible to experts, non-experts may struggle. +However, under special conditions, logical formulae representing decisions about categorization based on exclusive-or conditions can be more compactly and intelligibly represented as a decision tree. + +Decision trees are used differently in operations research than in ML. +In ML, decision trees are used as a predictive model to classify a target variable based on dependent variables. +In operations research and decision analysis, a decision tree is a tool used to document a human process. +In decision analysis “decision analysts frequently use specialized tools, such as decision tree techniques, to evaluate uncertain situations. +Unfortunately, many people, some of them educators, have confused decision analysis with decision trees. +This is like confusing surgery with the scalpel” [@howard1983readings, viii]. +We use decision trees in the tradition of decision analysis, not ML. Table 1: Comparison of Formalization Options for Vulnerability Prioritization Decisions @@ -61,8 +109,55 @@ Table 1: Comparison of Formalization Options for Vulnerability Prioritization De ## Decision Trees -A decision tree is an acyclic, flowchart-like structure where nodes represent aspects of the decision or relevant properties, and branches represent possible options for each aspect or property. Each decision point can have more than two options and may have different options from other decision points. - -Decision trees can be used to meet all of the desired criteria described above. The two less-obvious criteria met by decision trees are plural recommendations and transparent tree-construction processes. Decision trees support plural recommendations simply because a separate tree can represent each stakeholder group. The opportunity for transparency surfaces immediately: any deviation among the decision trees for different stakeholder groups should have a documented reason—supported by public evidence when possible—for the deviation. Transparency may be difficult to achieve, since each node in the tree and each of the values need to be explained and justified, but this cost is paid infrequently. - -There has been limited but positive use of decision trees in vulnerability management. For example, Vulnerability Response Decision Assistance (VRDA) studies how to make decisions about how to respond to vulnerability reports [@manion2009vrda]. This paper continues roughly in the vein of such work to construct multiple decision trees for prioritization within the vulnerability management process. +A decision tree is an acyclic, flowchart-like structure where nodes represent aspects of the decision or relevant properties, and branches represent possible options for each aspect or property. +Each decision point can have more than two options and may have different options from other decision points. + +Decision trees can be used to meet all of the desired criteria described above. +The two less-obvious criteria met by decision trees are plural recommendations and transparent tree-construction processes. +Decision trees support plural recommendations simply because a separate tree can represent each stakeholder group. +The opportunity for transparency surfaces immediately: any deviation among the decision trees for different stakeholder groups should have a documented reason—supported by public evidence when possible—for the deviation. +Transparency may be difficult to achieve, since each node in the tree and each of the values need to be explained and justified, but this cost is paid infrequently. + +There has been limited but positive use of decision trees in vulnerability management. +For example, Vulnerability Response Decision Assistance (VRDA) studies how to make decisions about how to respond to vulnerability reports [@manion2009vrda]. +This paper continues roughly in the vein of such work to construct multiple decision trees for prioritization within the vulnerability management process. + +## Representation choices + +A decision tree can represent the same content in different ways. +Since a decision tree is a representation of logical relationships between qualitative variables, the equivalent content can be represented in other formats as well. +The R package [data.tree](https://cran.r-project.org/web/packages/data.tree/data.tree.pdf) has a variety of both internal representations and visualizations. + +For data input, we have elected to keep SSVC simpler than R, and just use a CSV (or other fixed-delimiter separated file) as canonical data input. +All visualizations of a tree should be built from a canonical CSV that defines the decisions for that stakeholder. +Examples are located in [SSVC/data](https://github.com/CERTCC/SSVC/tree/main/data). +An interoperable CSV format is also flexible enough to support a variety of uses. +Every situation in SSVC is defined by the values for each decision point and the priority label (outcome) for that situation (as defined in [Likely Decision Points and Relevant Data](#likely-decision-points-and-relevant-data)). +A CSV will typically be 30-100 rows that each look something like: +``` +2,none,slow,diffuse,laborious,partial,minor,defer +``` +Where "2" is the row number, [*none*](#exploitation) through [*minor*](#public-safety-impact) are values for decision points, and *defer* is a priority label or outcome. +Different stakeholders will have different decision points (and so different options for values) and different outcomes, but this is the basic shape of a CSV file to define SSVC stakeholder decisions. + +The tree visualization options are more diverse. +We have provided an example format, and codified it in [src/SSVC_csv-to-latex.py](https://github.com/CERTCC/SSVC/tree/main/src). +The reader might ask why we have gone to this trouble when, for example, the data.tree package has a handy print-to-ASCII function. +It produces output like the following: +``` +1 start +2 ¦--AV:N +3 ¦ ¦--AC:L +4 ¦ ¦ ¦--PR:N +... +31 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L Medium +32 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N Medium +33 ¦ ¦ ¦ ¦ ¦ °--C:N +34 ¦ ¦ ¦ ¦ ¦ ¦--I:H +35 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H Critical +``` + +That sample is a snippet of the CVSSv3.0 base scoring algorithm represented as a decision tree. +The full tree can be found in [doc/version/gfx/cvss_tree_severity-score.txt](https://github.com/CERTCC/SSVC/tree/main/doc/version_1/gfx). +This tree representation is functional, but not as flexible or aesthetic as might be hoped. +The visualizations provided by R are geared towards analysis of decision trees in a random forest ML model, rather than operations-research type trees. diff --git a/doc/version_1/047_treesForVulMgmt_4.md b/doc/version_1/047_treesForVulMgmt_4.md index 772e7219..96045092 100644 --- a/doc/version_1/047_treesForVulMgmt_4.md +++ b/doc/version_1/047_treesForVulMgmt_4.md @@ -37,6 +37,35 @@ Deployers (Continued from Figure 2 and in Figure 4). Figure 4: Proposed Vulnerability Prioritization Decision Tree for Patch Deployers (Continued from Figure 2 and Figure 3) +## Tree Construction and Customization Guidance + +Stakeholders are encouraged to customize the SSVC decision process to their needs. +Indeed, the first part of SSVC stands for "stakeholder-specific." +However, certain parts of SSVC are more amenable to customization than others. +In this section, we'll cover what a stakeholder should leave fixed, what we imagine customization looks like, and some advice on building a usable and manageable decision tree based on our experience so far. + + - TODO what parts of a tree should not be customized + - TODO what parts of a tree can be customized (These two items will fix https://github.com/CERTCC/SSVC/issues/28) + +When doing the detailed risk management work of creating or modifying a tree, we recommend working from text files with one line or row for each unique combination of decision values. +For examples, see [SSVC/data](https://github.com/CERTCC/SSVC/tree/main/data). +An important benefit, in our experience, is that it's easier to identify a question by saying "I'm unsure about row 16" than anything else we have thought of so far. + + +Once the decision points are selected and the prioritization labels agreed upon, it is convenient to be able to visually compress the text file by displaying it as a decision tree. +Making the decision process accessible has a lot of benefits. +Unfortunately, it also makes it a bit too easy to overcomplicate the decision. + +The SSVC version 1 ~applier~ deployer tree had 225 rows when we wrote it out in long text form. +It only has four outcomes to differentiate between. +Thus on average that decision process treats one situation (combination of decision values) as equivalent to 65 other situations. +If nothing else, this means analysts are spending time gathering evidence to make fine distinctions that are not used in the final decision. +The added details also make it harder for the decision process to accurately manage the risks in question. +This difficulty arises because more variance and complexity there is in the decision increases the possibility of errors in the decision process itself. + +While there is no hard and fast rule for when a tree is too big, we suggest that if all of your outcomes are associated with more than 15 situations (unique combinations of decision values), you would benefit from asking whether your analysts actually use all the information they would be gathering. +Thus, 60 unique combinations of decision values is the point at which a decision tree with four distinct outcomes is, on average, potentially too big. + ## Evidence Gathering Guidance To answer each of these decision points, a supplier or deployer should, as much as possible, have a repeatable evidence collection and evaluation process. However, we are proposing decisions for humans to make, so evidence collection and evaluation is not totally automatable. That caveat notwithstanding, some automation is possible. diff --git a/doc/version_1/gfx/cvss_tree_score-severity.txt b/doc/version_1/gfx/cvss_tree_score-severity.txt new file mode 100755 index 00000000..ae623a0a --- /dev/null +++ b/doc/version_1/gfx/cvss_tree_score-severity.txt @@ -0,0 +1,3926 @@ + levelName score severity +1 start +2 ¦--AV:N +3 ¦ ¦--AC:L +4 ¦ ¦ ¦--PR:N +5 ¦ ¦ ¦ ¦--UI:N +6 ¦ ¦ ¦ ¦ ¦--S:U +7 ¦ ¦ ¦ ¦ ¦ ¦--C:H +8 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +9 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.8 Critical +10 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 9.4 Critical +11 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 9.1 Critical +12 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +13 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.4 Critical +14 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.6 High +15 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +16 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +17 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.1 Critical +18 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +19 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.5 High +20 ¦ ¦ ¦ ¦ ¦ ¦--C:L +21 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +22 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.4 Critical +23 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.6 High +24 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +25 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +26 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.6 High +27 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +28 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +29 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +30 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +31 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +32 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +33 ¦ ¦ ¦ ¦ ¦ °--C:N +34 ¦ ¦ ¦ ¦ ¦ ¦--I:H +35 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.1 Critical +36 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +37 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.5 High +38 ¦ ¦ ¦ ¦ ¦ ¦--I:L +39 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +40 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +41 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +42 ¦ ¦ ¦ ¦ ¦ °--I:N +43 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +44 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +45 ¦ ¦ ¦ ¦ ¦ °--A:N 0.0 None +46 ¦ ¦ ¦ ¦ °--S:C +47 ¦ ¦ ¦ ¦ ¦--C:H +48 ¦ ¦ ¦ ¦ ¦ ¦--I:H +49 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 10.0 Critical +50 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 10.0 Critical +51 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 10.0 Critical +52 ¦ ¦ ¦ ¦ ¦ ¦--I:L +53 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 10.0 Critical +54 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 9.9 Critical +55 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 9.3 Critical +56 ¦ ¦ ¦ ¦ ¦ °--I:N +57 ¦ ¦ ¦ ¦ ¦ ¦--A:H 10.0 Critical +58 ¦ ¦ ¦ ¦ ¦ ¦--A:L 9.3 Critical +59 ¦ ¦ ¦ ¦ ¦ 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¦--C:H +415 ¦ ¦ ¦ ¦ ¦--I:H +416 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +417 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +418 ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +419 ¦ ¦ ¦ ¦ ¦--I:L +420 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +421 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +422 ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +423 ¦ ¦ ¦ ¦ °--I:N +424 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +425 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +426 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +427 ¦ ¦ ¦ ¦--C:L +428 ¦ ¦ ¦ ¦ ¦--I:H +429 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +430 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +431 ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +432 ¦ ¦ ¦ ¦ ¦--I:L +433 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +434 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +435 ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +436 ¦ ¦ ¦ ¦ °--I:N +437 ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +438 ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +439 ¦ ¦ ¦ ¦ °--A:N 2.4 Low +440 ¦ ¦ ¦ °--C:N +441 ¦ ¦ ¦ ¦--I:H +442 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +443 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +444 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +445 ¦ ¦ ¦ ¦--I:L +446 ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +447 ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +448 ¦ ¦ ¦ ¦ °--A:N 2.4 Low +449 ¦ ¦ ¦ °--I:N +450 ¦ ¦ ¦ ¦--A:H 4.5 Medium +451 ¦ ¦ ¦ ¦--A:L 2.4 Low +452 ¦ ¦ ¦ °--A:N 0.0 None +453 ¦ ¦ °--S:C +454 ¦ ¦ ¦--C:H +455 ¦ ¦ ¦ ¦--I:H +456 ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +457 ¦ ¦ ¦ ¦ ¦--A:L 8.3 High +458 ¦ ¦ ¦ ¦ °--A:N 8.1 High +459 ¦ ¦ ¦ ¦--I:L +460 ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +461 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +462 ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +463 ¦ ¦ ¦ °--I:N +464 ¦ ¦ ¦ ¦--A:H 8.1 High +465 ¦ ¦ ¦ ¦--A:L 6.9 Medium +466 ¦ ¦ ¦ °--A:N 6.2 Medium +467 ¦ ¦ ¦--C:L +468 ¦ ¦ ¦ ¦--I:H +469 ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +470 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +471 ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +472 ¦ ¦ ¦ ¦--I:L +473 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +474 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +475 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +476 ¦ ¦ ¦ °--I:N +477 ¦ ¦ ¦ ¦--A:H 6.9 Medium +478 ¦ ¦ ¦ ¦--A:L 4.8 Medium +479 ¦ ¦ ¦ °--A:N 3.4 Low +480 ¦ ¦ °--C:N +481 ¦ ¦ ¦--I:H +482 ¦ ¦ ¦ ¦--A:H 8.1 High +483 ¦ ¦ ¦ ¦--A:L 6.9 Medium +484 ¦ ¦ ¦ °--A:N 6.2 Medium +485 ¦ ¦ ¦--I:L +486 ¦ ¦ ¦ ¦--A:H 6.9 Medium +487 ¦ ¦ ¦ ¦--A:L 4.8 Medium +488 ¦ ¦ ¦ °--A:N 3.4 Low +489 ¦ ¦ °--I:N +490 ¦ ¦ ¦--A:H 6.2 Medium +491 ¦ ¦ ¦--A:L 3.4 Low +492 ¦ ¦ °--A:N 0.0 None +493 ¦ °--AC:H +494 ¦ ¦--PR:N +495 ¦ ¦ ¦--UI:N +496 ¦ ¦ ¦ ¦--S:U +497 ¦ ¦ ¦ ¦ ¦--C:H +498 ¦ ¦ ¦ ¦ ¦ ¦--I:H +499 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +500 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +501 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.4 High +502 ¦ ¦ ¦ ¦ ¦ ¦--I:L +503 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +504 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +505 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +506 ¦ ¦ ¦ ¦ ¦ °--I:N +507 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +508 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +509 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +510 ¦ ¦ ¦ ¦ ¦--C:L +511 ¦ ¦ ¦ ¦ ¦ ¦--I:H +512 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +513 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +514 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +515 ¦ ¦ ¦ ¦ ¦ ¦--I:L +516 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +517 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +518 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +519 ¦ ¦ ¦ ¦ ¦ °--I:N +520 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +521 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +522 ¦ ¦ ¦ ¦ ¦ °--A:N 3.7 Low +523 ¦ ¦ ¦ ¦ °--C:N +524 ¦ ¦ ¦ ¦ ¦--I:H +525 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +526 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +527 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +528 ¦ ¦ ¦ ¦ ¦--I:L +529 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +530 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +531 ¦ ¦ ¦ ¦ ¦ °--A:N 3.7 Low +532 ¦ ¦ ¦ ¦ °--I:N +533 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +534 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +535 ¦ ¦ ¦ ¦ °--A:N 0.0 None +536 ¦ ¦ ¦ °--S:C +537 ¦ ¦ ¦ ¦--C:H +538 ¦ ¦ ¦ ¦ ¦--I:H +539 ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.0 Critical +540 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.9 High +541 ¦ ¦ ¦ ¦ ¦ °--A:N 8.7 High +542 ¦ ¦ ¦ ¦ ¦--I:L +543 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.9 High +544 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.1 High +545 ¦ ¦ ¦ ¦ ¦ °--A:N 7.5 High +546 ¦ ¦ ¦ ¦ °--I:N +547 ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +548 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +549 ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +550 ¦ ¦ ¦ ¦--C:L +551 ¦ ¦ ¦ ¦ ¦--I:H +552 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.9 High +553 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.1 High +554 ¦ ¦ ¦ ¦ ¦ °--A:N 7.5 High +555 ¦ ¦ ¦ ¦ ¦--I:L +556 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +557 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +558 ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +559 ¦ ¦ ¦ ¦ °--I:N +560 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +561 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +562 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +563 ¦ ¦ ¦ °--C:N +564 ¦ ¦ ¦ ¦--I:H +565 ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +566 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +567 ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +568 ¦ ¦ ¦ ¦--I:L +569 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +570 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +571 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +572 ¦ ¦ ¦ °--I:N +573 ¦ ¦ ¦ ¦--A:H 6.8 Medium +574 ¦ ¦ ¦ ¦--A:L 4.0 Medium +575 ¦ ¦ ¦ °--A:N 0.0 None +576 ¦ ¦ °--UI:R +577 ¦ ¦ ¦--S:U +578 ¦ ¦ ¦ ¦--C:H +579 ¦ ¦ ¦ ¦ ¦--I:H +580 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +581 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +582 ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +583 ¦ ¦ ¦ ¦ ¦--I:L +584 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +585 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +586 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +587 ¦ ¦ ¦ ¦ °--I:N +588 ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +589 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +590 ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +591 ¦ ¦ ¦ ¦--C:L +592 ¦ ¦ ¦ ¦ ¦--I:H +593 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +594 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +595 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +596 ¦ ¦ ¦ ¦ ¦--I:L +597 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +598 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +599 ¦ ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +600 ¦ ¦ ¦ ¦ °--I:N +601 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +602 ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +603 ¦ ¦ ¦ ¦ °--A:N 3.1 Low +604 ¦ ¦ ¦ °--C:N +605 ¦ ¦ ¦ ¦--I:H +606 ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +607 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +608 ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +609 ¦ ¦ ¦ ¦--I:L +610 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +611 ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +612 ¦ ¦ ¦ ¦ °--A:N 3.1 Low +613 ¦ ¦ ¦ °--I:N +614 ¦ ¦ ¦ ¦--A:H 5.3 Medium +615 ¦ ¦ ¦ ¦--A:L 3.1 Low +616 ¦ ¦ ¦ °--A:N 0.0 None +617 ¦ ¦ °--S:C +618 ¦ ¦ ¦--C:H +619 ¦ ¦ ¦ ¦--I:H +620 ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +621 ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +622 ¦ ¦ ¦ ¦ °--A:N 8.0 High +623 ¦ ¦ ¦ ¦--I:L +624 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +625 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +626 ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +627 ¦ ¦ ¦ °--I:N +628 ¦ ¦ ¦ ¦--A:H 8.0 High +629 ¦ ¦ ¦ ¦--A:L 6.9 Medium +630 ¦ ¦ ¦ °--A:N 6.1 Medium +631 ¦ ¦ ¦--C:L +632 ¦ ¦ ¦ ¦--I:H +633 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +634 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +635 ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +636 ¦ ¦ ¦ ¦--I:L +637 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +638 ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +639 ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +640 ¦ ¦ ¦ °--I:N +641 ¦ ¦ ¦ ¦--A:H 6.9 Medium +642 ¦ ¦ ¦ ¦--A:L 4.7 Medium +643 ¦ ¦ ¦ °--A:N 3.4 Low +644 ¦ ¦ °--C:N +645 ¦ ¦ ¦--I:H +646 ¦ ¦ ¦ ¦--A:H 8.0 High +647 ¦ ¦ ¦ ¦--A:L 6.9 Medium +648 ¦ ¦ ¦ °--A:N 6.1 Medium +649 ¦ ¦ ¦--I:L +650 ¦ ¦ ¦ ¦--A:H 6.9 Medium +651 ¦ ¦ ¦ ¦--A:L 4.7 Medium +652 ¦ ¦ ¦ °--A:N 3.4 Low +653 ¦ ¦ °--I:N +654 ¦ ¦ ¦--A:H 6.1 Medium +655 ¦ ¦ ¦--A:L 3.4 Low +656 ¦ ¦ °--A:N 0.0 None +657 ¦ ¦--PR:L +658 ¦ ¦ ¦--UI:N +659 ¦ ¦ ¦ ¦--S:U +660 ¦ ¦ ¦ ¦ ¦--C:H +661 ¦ ¦ ¦ ¦ ¦ ¦--I:H +662 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +663 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +664 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +665 ¦ ¦ ¦ ¦ ¦ ¦--I:L +666 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +667 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +668 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +669 ¦ ¦ ¦ ¦ ¦ °--I:N +670 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +671 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +672 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +673 ¦ ¦ ¦ ¦ ¦--C:L +674 ¦ ¦ ¦ ¦ ¦ ¦--I:H +675 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +676 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +677 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +678 ¦ ¦ ¦ ¦ ¦ ¦--I:L +679 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +680 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +681 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +682 ¦ ¦ ¦ ¦ ¦ °--I:N +683 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +684 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +685 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +686 ¦ ¦ ¦ ¦ °--C:N +687 ¦ ¦ ¦ ¦ ¦--I:H +688 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +689 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +690 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +691 ¦ ¦ ¦ ¦ ¦--I:L +692 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +693 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +694 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +695 ¦ ¦ ¦ ¦ °--I:N +696 ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +697 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +698 ¦ ¦ ¦ ¦ °--A:N 0.0 None +699 ¦ ¦ ¦ °--S:C +700 ¦ ¦ ¦ ¦--C:H +701 ¦ ¦ ¦ ¦ ¦--I:H +702 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +703 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.4 High +704 ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +705 ¦ ¦ ¦ ¦ ¦--I:L +706 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +707 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +708 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +709 ¦ ¦ ¦ ¦ °--I:N +710 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +711 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +712 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +713 ¦ ¦ ¦ ¦--C:L +714 ¦ ¦ ¦ ¦ ¦--I:H +715 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +716 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +717 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +718 ¦ ¦ ¦ ¦ ¦--I:L +719 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +720 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +721 ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +722 ¦ ¦ ¦ ¦ °--I:N +723 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +724 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +725 ¦ ¦ ¦ ¦ °--A:N 3.5 Low +726 ¦ ¦ ¦ °--C:N +727 ¦ ¦ ¦ ¦--I:H +728 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +729 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +730 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +731 ¦ ¦ ¦ ¦--I:L +732 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +733 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +734 ¦ ¦ ¦ ¦ °--A:N 3.5 Low +735 ¦ ¦ ¦ °--I:N +736 ¦ ¦ ¦ ¦--A:H 6.3 Medium +737 ¦ ¦ ¦ ¦--A:L 3.5 Low +738 ¦ ¦ ¦ °--A:N 0.0 None +739 ¦ ¦ °--UI:R +740 ¦ ¦ ¦--S:U +741 ¦ ¦ ¦ ¦--C:H +742 ¦ ¦ ¦ ¦ ¦--I:H +743 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +744 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +745 ¦ ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +746 ¦ ¦ ¦ ¦ ¦--I:L +747 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +748 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +749 ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +750 ¦ ¦ ¦ ¦ °--I:N +751 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +752 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +753 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +754 ¦ ¦ ¦ ¦--C:L +755 ¦ ¦ ¦ ¦ ¦--I:H +756 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +757 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +758 ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +759 ¦ ¦ ¦ ¦ ¦--I:L +760 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +761 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +762 ¦ ¦ ¦ ¦ ¦ °--A:N 3.7 Low +763 ¦ ¦ ¦ ¦ °--I:N +764 ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +765 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +766 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +767 ¦ ¦ ¦ °--C:N +768 ¦ ¦ ¦ ¦--I:H +769 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +770 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +771 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +772 ¦ ¦ ¦ ¦--I:L +773 ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +774 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +775 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +776 ¦ ¦ ¦ °--I:N +777 ¦ ¦ ¦ ¦--A:H 4.8 Medium +778 ¦ ¦ ¦ ¦--A:L 2.6 Low +779 ¦ ¦ ¦ °--A:N 0.0 None +780 ¦ ¦ °--S:C +781 ¦ ¦ ¦--C:H +782 ¦ ¦ ¦ ¦--I:H +783 ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +784 ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +785 ¦ ¦ ¦ ¦ °--A:N 7.7 High +786 ¦ ¦ ¦ ¦--I:L +787 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +788 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +789 ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +790 ¦ ¦ ¦ °--I:N +791 ¦ ¦ ¦ ¦--A:H 7.7 High +792 ¦ ¦ ¦ ¦--A:L 6.5 Medium +793 ¦ ¦ ¦ °--A:N 5.8 Medium +794 ¦ ¦ ¦--C:L +795 ¦ ¦ ¦ ¦--I:H +796 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +797 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +798 ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +799 ¦ ¦ ¦ ¦--I:L +800 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +801 ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +802 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +803 ¦ ¦ ¦ °--I:N +804 ¦ ¦ ¦ ¦--A:H 6.5 Medium +805 ¦ ¦ ¦ ¦--A:L 4.4 Medium +806 ¦ ¦ ¦ °--A:N 3.0 Low +807 ¦ ¦ °--C:N +808 ¦ ¦ ¦--I:H +809 ¦ ¦ ¦ ¦--A:H 7.7 High +810 ¦ ¦ ¦ ¦--A:L 6.5 Medium +811 ¦ ¦ ¦ °--A:N 5.8 Medium +812 ¦ ¦ ¦--I:L +813 ¦ ¦ ¦ ¦--A:H 6.5 Medium +814 ¦ ¦ ¦ ¦--A:L 4.4 Medium +815 ¦ ¦ ¦ °--A:N 3.0 Low +816 ¦ ¦ °--I:N +817 ¦ ¦ ¦--A:H 5.8 Medium +818 ¦ ¦ ¦--A:L 3.0 Low +819 ¦ ¦ °--A:N 0.0 None +820 ¦ °--PR:H +821 ¦ ¦--UI:N +822 ¦ ¦ ¦--S:U +823 ¦ ¦ ¦ ¦--C:H +824 ¦ ¦ ¦ ¦ ¦--I:H +825 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +826 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +827 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +828 ¦ ¦ ¦ ¦ ¦--I:L +829 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +830 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 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¦--I:L +869 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +870 ¦ ¦ ¦ ¦ ¦--A:L 7.2 High +871 ¦ ¦ ¦ ¦ °--A:N 6.6 Medium +872 ¦ ¦ ¦ °--I:N +873 ¦ ¦ ¦ ¦--A:H 7.7 High +874 ¦ ¦ ¦ ¦--A:L 6.6 Medium +875 ¦ ¦ ¦ °--A:N 5.8 Medium +876 ¦ ¦ ¦--C:L +877 ¦ ¦ ¦ ¦--I:H +878 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +879 ¦ ¦ ¦ ¦ ¦--A:L 7.2 High +880 ¦ ¦ ¦ ¦ °--A:N 6.6 Medium +881 ¦ ¦ ¦ ¦--I:L +882 ¦ ¦ ¦ ¦ ¦--A:H 7.2 High +883 ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +884 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +885 ¦ ¦ ¦ °--I:N +886 ¦ ¦ ¦ ¦--A:H 6.6 Medium +887 ¦ ¦ ¦ ¦--A:L 4.4 Medium +888 ¦ ¦ ¦ °--A:N 3.0 Low +889 ¦ ¦ °--C:N +890 ¦ ¦ ¦--I:H +891 ¦ ¦ ¦ ¦--A:H 7.7 High +892 ¦ ¦ ¦ ¦--A:L 6.6 Medium +893 ¦ ¦ ¦ °--A:N 5.8 Medium +894 ¦ ¦ ¦--I:L +895 ¦ ¦ ¦ ¦--A:H 6.6 Medium +896 ¦ ¦ ¦ ¦--A:L 4.4 Medium +897 ¦ ¦ ¦ °--A:N 3.0 Low +898 ¦ ¦ °--I:N +899 ¦ ¦ ¦--A:H 5.8 Medium +900 ¦ ¦ ¦--A:L 3.0 Low +901 ¦ ¦ °--A:N 0.0 None +902 ¦ °--UI:R +903 ¦ ¦--S:U +904 ¦ ¦ ¦--C:H +905 ¦ ¦ ¦ ¦--I:H +906 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +907 ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +908 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +909 ¦ ¦ ¦ ¦--I:L +910 ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +911 ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +912 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +913 ¦ ¦ ¦ °--I:N +914 ¦ ¦ ¦ ¦--A:H 5.7 Medium +915 ¦ ¦ ¦ ¦--A:L 4.8 Medium +916 ¦ ¦ ¦ °--A:N 4.2 Medium +917 ¦ ¦ ¦--C:L +918 ¦ ¦ ¦ ¦--I:H +919 ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +920 ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +921 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +922 ¦ ¦ ¦ ¦--I:L +923 ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +924 ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +925 ¦ ¦ ¦ ¦ °--A:N 3.1 Low +926 ¦ ¦ ¦ °--I:N +927 ¦ ¦ ¦ ¦--A:H 4.8 Medium +928 ¦ ¦ ¦ ¦--A:L 3.1 Low +929 ¦ ¦ ¦ °--A:N 2.0 Low +930 ¦ ¦ °--C:N +931 ¦ ¦ ¦--I:H +932 ¦ ¦ ¦ ¦--A:H 5.7 Medium +933 ¦ ¦ ¦ ¦--A:L 4.8 Medium +934 ¦ ¦ ¦ °--A:N 4.2 Medium +935 ¦ ¦ ¦--I:L +936 ¦ ¦ ¦ ¦--A:H 4.8 Medium +937 ¦ ¦ ¦ ¦--A:L 3.1 Low +938 ¦ ¦ ¦ °--A:N 2.0 Low +939 ¦ ¦ °--I:N +940 ¦ ¦ ¦--A:H 4.2 Medium +941 ¦ ¦ ¦--A:L 2.0 Low +942 ¦ ¦ °--A:N 0.0 None +943 ¦ °--S:C +944 ¦ ¦--C:H +945 ¦ ¦ ¦--I:H +946 ¦ ¦ ¦ ¦--A:H 7.6 High +947 ¦ ¦ ¦ ¦--A:L 7.5 High +948 ¦ ¦ ¦ °--A:N 7.3 High +949 ¦ ¦ ¦--I:L +950 ¦ ¦ ¦ ¦--A:H 7.5 High +951 ¦ ¦ ¦ ¦--A:L 6.8 Medium +952 ¦ ¦ ¦ °--A:N 6.2 Medium +953 ¦ ¦ °--I:N +954 ¦ ¦ ¦--A:H 7.3 High +955 ¦ ¦ ¦--A:L 6.2 Medium +956 ¦ ¦ °--A:N 5.4 Medium +957 ¦ ¦--C:L +958 ¦ ¦ ¦--I:H +959 ¦ ¦ ¦ ¦--A:H 7.5 High +960 ¦ ¦ ¦ ¦--A:L 6.8 Medium +961 ¦ ¦ ¦ °--A:N 6.2 Medium +962 ¦ ¦ ¦--I:L +963 ¦ ¦ ¦ ¦--A:H 6.8 Medium +964 ¦ ¦ ¦ ¦--A:L 5.1 Medium +965 ¦ ¦ ¦ °--A:N 4.0 Medium +966 ¦ ¦ °--I:N +967 ¦ ¦ ¦--A:H 6.2 Medium +968 ¦ ¦ ¦--A:L 4.0 Medium +969 ¦ ¦ °--A:N 2.6 Low +970 ¦ °--C:N +971 ¦ ¦--I:H +972 ¦ ¦ ¦--A:H 7.3 High +973 ¦ ¦ ¦--A:L 6.2 Medium +974 ¦ ¦ °--A:N 5.4 Medium +975 ¦ ¦--I:L +976 ¦ ¦ ¦--A:H 6.2 Medium +977 ¦ ¦ ¦--A:L 4.0 Medium +978 ¦ ¦ °--A:N 2.6 Low +979 ¦ °--I:N +980 ¦ ¦--A:H 5.4 Medium +981 ¦ ¦--A:L 2.6 Low +982 ¦ °--A:N 0.0 None +983 ¦--AV:A +984 ¦ ¦--AC:L +985 ¦ ¦ ¦--PR:N +986 ¦ ¦ ¦ ¦--UI:N +987 ¦ ¦ ¦ ¦ ¦--S:U +988 ¦ ¦ ¦ ¦ ¦ ¦--C:H +989 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +990 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.8 High +991 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.3 High +992 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.1 High +993 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +994 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +995 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +996 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +997 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +998 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +999 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1000 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1001 ¦ ¦ ¦ ¦ ¦ ¦--C:L +1002 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +1003 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1004 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +1005 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +1006 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +1007 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1008 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1009 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1010 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +1011 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1012 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1013 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1014 ¦ ¦ ¦ ¦ ¦ °--C:N +1015 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1016 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +1017 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1018 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1019 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1020 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1021 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1022 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1023 ¦ ¦ ¦ ¦ ¦ °--I:N +1024 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +1025 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +1026 ¦ ¦ ¦ ¦ ¦ °--A:N 0.0 None +1027 ¦ ¦ ¦ ¦ °--S:C +1028 ¦ ¦ ¦ ¦ ¦--C:H +1029 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1030 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.6 Critical +1031 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 9.6 Critical +1032 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 9.3 Critical +1033 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1034 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.6 Critical +1035 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.8 High +1036 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +1037 ¦ ¦ ¦ ¦ ¦ °--I:N +1038 ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.3 Critical +1039 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +1040 ¦ ¦ ¦ ¦ ¦ °--A:N 7.4 High +1041 ¦ ¦ ¦ ¦ ¦--C:L +1042 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1043 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.6 Critical +1044 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.8 High +1045 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +1046 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1047 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.8 High +1048 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1049 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1050 ¦ ¦ ¦ ¦ ¦ °--I:N +1051 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +1052 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +1053 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +1054 ¦ ¦ ¦ ¦ °--C:N +1055 ¦ ¦ ¦ ¦ ¦--I:H +1056 ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.3 Critical +1057 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +1058 ¦ ¦ ¦ ¦ ¦ °--A:N 7.4 High +1059 ¦ ¦ ¦ ¦ ¦--I:L +1060 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +1061 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +1062 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +1063 ¦ ¦ ¦ ¦ °--I:N +1064 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +1065 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +1066 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1067 ¦ ¦ ¦ °--UI:R +1068 ¦ ¦ ¦ ¦--S:U +1069 ¦ ¦ ¦ ¦ ¦--C:H +1070 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1071 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1072 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +1073 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.3 High +1074 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1075 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1076 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1077 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +1078 ¦ ¦ ¦ ¦ ¦ °--I:N +1079 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +1080 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1081 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +1082 ¦ ¦ ¦ ¦ ¦--C:L +1083 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1084 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1085 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1086 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +1087 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1088 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1089 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +1090 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +1091 ¦ ¦ ¦ ¦ ¦ °--I:N +1092 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1093 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1094 ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +1095 ¦ ¦ ¦ ¦ °--C:N +1096 ¦ ¦ ¦ ¦ ¦--I:H +1097 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +1098 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1099 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +1100 ¦ ¦ ¦ ¦ ¦--I:L +1101 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1102 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1103 ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +1104 ¦ ¦ ¦ ¦ °--I:N +1105 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +1106 ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +1107 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1108 ¦ ¦ ¦ °--S:C +1109 ¦ ¦ ¦ ¦--C:H +1110 ¦ ¦ ¦ ¦ ¦--I:H +1111 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.8 High +1112 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.7 High +1113 ¦ ¦ ¦ ¦ ¦ °--A:N 8.5 High +1114 ¦ ¦ ¦ ¦ ¦--I:L +1115 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +1116 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.0 High +1117 ¦ ¦ ¦ ¦ ¦ °--A:N 7.4 High +1118 ¦ ¦ ¦ ¦ °--I:N +1119 ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +1120 ¦ ¦ ¦ ¦ ¦--A:L 7.4 High +1121 ¦ ¦ ¦ ¦ °--A:N 6.6 Medium +1122 ¦ ¦ ¦ ¦--C:L +1123 ¦ ¦ ¦ ¦ ¦--I:H +1124 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +1125 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.0 High +1126 ¦ ¦ ¦ ¦ ¦ °--A:N 7.4 High +1127 ¦ ¦ ¦ ¦ ¦--I:L +1128 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1129 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1130 ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +1131 ¦ ¦ ¦ ¦ °--I:N +1132 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +1133 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +1134 ¦ ¦ ¦ ¦ °--A:N 3.8 Low +1135 ¦ ¦ ¦ °--C:N +1136 ¦ ¦ ¦ ¦--I:H +1137 ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +1138 ¦ ¦ ¦ ¦ ¦--A:L 7.4 High +1139 ¦ ¦ ¦ ¦ °--A:N 6.6 Medium +1140 ¦ ¦ ¦ ¦--I:L +1141 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +1142 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +1143 ¦ ¦ ¦ ¦ °--A:N 3.8 Low +1144 ¦ ¦ ¦ °--I:N +1145 ¦ ¦ ¦ ¦--A:H 6.6 Medium +1146 ¦ ¦ ¦ ¦--A:L 3.8 Low +1147 ¦ ¦ ¦ °--A:N 0.0 None +1148 ¦ ¦ ¦--PR:L +1149 ¦ ¦ ¦ ¦--UI:N +1150 ¦ ¦ ¦ ¦ ¦--S:U +1151 ¦ ¦ ¦ ¦ ¦ ¦--C:H +1152 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +1153 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1154 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +1155 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.3 High +1156 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +1157 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1158 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1159 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +1160 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +1161 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +1162 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1163 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +1164 ¦ ¦ ¦ ¦ ¦ ¦--C:L +1165 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +1166 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1167 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1168 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +1169 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +1170 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1171 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +1172 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +1173 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +1174 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1175 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1176 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +1177 ¦ ¦ ¦ ¦ ¦ °--C:N +1178 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1179 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +1180 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1181 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +1182 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1183 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1184 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1185 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +1186 ¦ ¦ ¦ ¦ ¦ °--I:N +1187 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +1188 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +1189 ¦ ¦ ¦ ¦ ¦ °--A:N 0.0 None +1190 ¦ ¦ ¦ ¦ °--S:C +1191 ¦ ¦ ¦ ¦ ¦--C:H +1192 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1193 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.0 Critical +1194 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.9 High +1195 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.7 High +1196 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1197 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.9 High +1198 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +1199 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.6 High +1200 ¦ ¦ ¦ ¦ ¦ °--I:N +1201 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +1202 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +1203 ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +1204 ¦ ¦ ¦ ¦ ¦--C:L +1205 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1206 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.9 High +1207 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +1208 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.6 High +1209 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1210 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +1211 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +1212 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1213 ¦ ¦ ¦ ¦ ¦ °--I:N +1214 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1215 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1216 ¦ ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +1217 ¦ ¦ ¦ ¦ °--C:N +1218 ¦ ¦ ¦ ¦ ¦--I:H +1219 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +1220 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +1221 ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +1222 ¦ ¦ ¦ ¦ ¦--I:L +1223 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1224 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1225 ¦ ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +1226 ¦ ¦ ¦ ¦ °--I:N +1227 ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1228 ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +1229 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1230 ¦ ¦ ¦ °--UI:R +1231 ¦ ¦ ¦ ¦--S:U +1232 ¦ ¦ ¦ ¦ ¦--C:H +1233 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1234 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +1235 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +1236 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +1237 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1238 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +1239 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1240 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.8 Medium +1241 ¦ ¦ ¦ ¦ ¦ °--I:N +1242 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1243 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +1244 ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +1245 ¦ ¦ ¦ ¦ ¦--C:L +1246 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1247 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +1248 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +1249 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.8 Medium +1250 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1251 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1252 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +1253 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +1254 ¦ ¦ ¦ ¦ ¦ °--I:N +1255 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +1256 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +1257 ¦ ¦ ¦ ¦ ¦ °--A:N 3.0 Low +1258 ¦ ¦ ¦ ¦ °--C:N +1259 ¦ ¦ ¦ ¦ ¦--I:H +1260 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1261 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +1262 ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +1263 ¦ ¦ ¦ ¦ ¦--I:L +1264 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +1265 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +1266 ¦ ¦ ¦ ¦ ¦ °--A:N 3.0 Low +1267 ¦ ¦ ¦ ¦ °--I:N +1268 ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +1269 ¦ ¦ ¦ ¦ ¦--A:L 3.0 Low +1270 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1271 ¦ ¦ ¦ °--S:C +1272 ¦ ¦ ¦ ¦--C:H +1273 ¦ ¦ ¦ ¦ ¦--I:H +1274 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +1275 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.3 High +1276 ¦ ¦ ¦ ¦ ¦ °--A:N 8.1 High +1277 ¦ ¦ ¦ ¦ ¦--I:L +1278 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1279 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1280 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1281 ¦ ¦ ¦ ¦ °--I:N +1282 ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +1283 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1284 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1285 ¦ ¦ ¦ ¦--C:L +1286 ¦ ¦ ¦ ¦ ¦--I:H +1287 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1288 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1289 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1290 ¦ ¦ ¦ ¦ ¦--I:L +1291 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1292 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1293 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1294 ¦ ¦ ¦ ¦ °--I:N +1295 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1296 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1297 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1298 ¦ ¦ ¦ °--C:N +1299 ¦ ¦ ¦ ¦--I:H +1300 ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +1301 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1302 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1303 ¦ ¦ ¦ ¦--I:L +1304 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1305 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1306 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1307 ¦ ¦ ¦ °--I:N +1308 ¦ ¦ ¦ ¦--A:H 6.1 Medium +1309 ¦ ¦ ¦ ¦--A:L 3.4 Low +1310 ¦ ¦ ¦ °--A:N 0.0 None +1311 ¦ ¦ °--PR:H +1312 ¦ ¦ ¦--UI:N +1313 ¦ ¦ ¦ ¦--S:U +1314 ¦ ¦ ¦ ¦ ¦--C:H +1315 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1316 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1317 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +1318 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1319 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1320 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1321 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +1322 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +1323 ¦ ¦ ¦ ¦ ¦ °--I:N +1324 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +1325 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +1326 ¦ ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +1327 ¦ ¦ ¦ ¦ ¦--C:L +1328 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1329 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1330 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +1331 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +1332 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1333 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +1334 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +1335 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +1336 ¦ ¦ ¦ ¦ ¦ °--I:N +1337 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +1338 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +1339 ¦ ¦ ¦ ¦ ¦ °--A:N 2.4 Low +1340 ¦ ¦ ¦ ¦ °--C:N +1341 ¦ ¦ ¦ ¦ ¦--I:H +1342 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +1343 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +1344 ¦ ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +1345 ¦ ¦ ¦ ¦ ¦--I:L +1346 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +1347 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +1348 ¦ ¦ ¦ ¦ ¦ °--A:N 2.4 Low +1349 ¦ ¦ ¦ ¦ °--I:N +1350 ¦ ¦ ¦ ¦ ¦--A:H 4.5 Medium +1351 ¦ ¦ ¦ ¦ ¦--A:L 2.4 Low +1352 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1353 ¦ ¦ ¦ °--S:C +1354 ¦ ¦ ¦ ¦--C:H +1355 ¦ ¦ ¦ ¦ ¦--I:H +1356 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +1357 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.3 High +1358 ¦ ¦ ¦ ¦ ¦ °--A:N 8.1 High +1359 ¦ ¦ ¦ ¦ ¦--I:L +1360 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1361 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1362 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1363 ¦ ¦ ¦ ¦ °--I:N +1364 ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +1365 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1366 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1367 ¦ ¦ ¦ ¦--C:L +1368 ¦ ¦ ¦ ¦ ¦--I:H +1369 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1370 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1371 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1372 ¦ ¦ ¦ ¦ ¦--I:L +1373 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1374 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1375 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1376 ¦ ¦ ¦ ¦ °--I:N +1377 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1378 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1379 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1380 ¦ ¦ ¦ °--C:N +1381 ¦ ¦ ¦ ¦--I:H +1382 ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +1383 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1384 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1385 ¦ ¦ ¦ ¦--I:L +1386 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1387 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1388 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1389 ¦ ¦ ¦ °--I:N +1390 ¦ ¦ ¦ ¦--A:H 6.2 Medium +1391 ¦ ¦ ¦ ¦--A:L 3.4 Low +1392 ¦ ¦ ¦ °--A:N 0.0 None +1393 ¦ ¦ °--UI:R +1394 ¦ ¦ ¦--S:U +1395 ¦ ¦ ¦ ¦--C:H +1396 ¦ ¦ ¦ ¦ ¦--I:H +1397 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +1398 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +1399 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +1400 ¦ ¦ ¦ ¦ ¦--I:L +1401 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +1402 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1403 ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +1404 ¦ ¦ ¦ ¦ °--I:N +1405 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1406 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +1407 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1408 ¦ ¦ ¦ ¦--C:L +1409 ¦ ¦ ¦ ¦ ¦--I:H +1410 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +1411 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1412 ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +1413 ¦ ¦ ¦ ¦ ¦--I:L +1414 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +1415 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +1416 ¦ ¦ ¦ ¦ ¦ °--A:N 3.2 Low +1417 ¦ ¦ ¦ ¦ °--I:N +1418 ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +1419 ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +1420 ¦ ¦ ¦ ¦ °--A:N 2.1 Low +1421 ¦ ¦ ¦ °--C:N +1422 ¦ ¦ ¦ ¦--I:H +1423 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1424 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +1425 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1426 ¦ ¦ ¦ ¦--I:L +1427 ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +1428 ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +1429 ¦ ¦ ¦ ¦ °--A:N 2.1 Low +1430 ¦ ¦ ¦ °--I:N +1431 ¦ ¦ ¦ ¦--A:H 4.3 Medium +1432 ¦ ¦ ¦ ¦--A:L 2.1 Low +1433 ¦ ¦ ¦ °--A:N 0.0 None +1434 ¦ ¦ °--S:C +1435 ¦ ¦ ¦--C:H +1436 ¦ ¦ ¦ ¦--I:H +1437 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +1438 ¦ ¦ ¦ ¦ ¦--A:L 7.8 High +1439 ¦ ¦ ¦ ¦ °--A:N 7.6 High +1440 ¦ ¦ ¦ ¦--I:L +1441 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +1442 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1443 ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1444 ¦ ¦ ¦ °--I:N +1445 ¦ ¦ ¦ ¦--A:H 7.6 High +1446 ¦ ¦ ¦ ¦--A:L 6.5 Medium +1447 ¦ ¦ ¦ °--A:N 5.7 Medium +1448 ¦ ¦ ¦--C:L +1449 ¦ ¦ ¦ ¦--I:H +1450 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +1451 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1452 ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1453 ¦ ¦ ¦ ¦--I:L +1454 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1455 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1456 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1457 ¦ ¦ ¦ °--I:N +1458 ¦ ¦ ¦ ¦--A:H 6.5 Medium +1459 ¦ ¦ ¦ ¦--A:L 4.3 Medium +1460 ¦ ¦ ¦ °--A:N 2.9 Low +1461 ¦ ¦ °--C:N +1462 ¦ ¦ ¦--I:H +1463 ¦ ¦ ¦ ¦--A:H 7.6 High +1464 ¦ ¦ ¦ ¦--A:L 6.5 Medium +1465 ¦ ¦ ¦ °--A:N 5.7 Medium +1466 ¦ ¦ ¦--I:L +1467 ¦ ¦ ¦ ¦--A:H 6.5 Medium +1468 ¦ ¦ ¦ ¦--A:L 4.3 Medium +1469 ¦ ¦ ¦ °--A:N 2.9 Low +1470 ¦ ¦ °--I:N +1471 ¦ ¦ ¦--A:H 5.7 Medium +1472 ¦ ¦ ¦--A:L 2.9 Low +1473 ¦ ¦ °--A:N 0.0 None +1474 ¦ °--AC:H +1475 ¦ ¦--PR:N +1476 ¦ ¦ ¦--UI:N +1477 ¦ ¦ ¦ ¦--S:U +1478 ¦ ¦ ¦ ¦ ¦--C:H +1479 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1480 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1481 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1482 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +1483 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1484 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1485 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +1486 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +1487 ¦ ¦ ¦ ¦ ¦ °--I:N +1488 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1489 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1490 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +1491 ¦ ¦ ¦ ¦ ¦--C:L +1492 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1493 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1494 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +1495 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +1496 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1497 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1498 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +1499 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +1500 ¦ ¦ ¦ ¦ ¦ °--I:N +1501 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1502 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +1503 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +1504 ¦ ¦ ¦ ¦ °--C:N +1505 ¦ ¦ ¦ ¦ ¦--I:H +1506 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1507 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1508 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +1509 ¦ ¦ ¦ ¦ ¦--I:L +1510 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1511 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +1512 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +1513 ¦ ¦ ¦ ¦ °--I:N +1514 ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +1515 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +1516 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1517 ¦ ¦ ¦ °--S:C +1518 ¦ ¦ ¦ ¦--C:H +1519 ¦ ¦ ¦ ¦ ¦--I:H +1520 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.3 High +1521 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.2 High +1522 ¦ ¦ ¦ ¦ ¦ °--A:N 8.0 High +1523 ¦ ¦ ¦ ¦ ¦--I:L +1524 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +1525 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1526 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1527 ¦ ¦ ¦ ¦ °--I:N +1528 ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1529 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1530 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1531 ¦ ¦ ¦ ¦--C:L +1532 ¦ ¦ ¦ ¦ ¦--I:H +1533 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +1534 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1535 ¦ ¦ ¦ ¦ ¦ °--A:N 6.9 Medium +1536 ¦ ¦ ¦ ¦ ¦--I:L +1537 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1538 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +1539 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +1540 ¦ ¦ ¦ ¦ °--I:N +1541 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1542 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +1543 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1544 ¦ ¦ ¦ °--C:N +1545 ¦ ¦ ¦ ¦--I:H +1546 ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1547 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +1548 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1549 ¦ ¦ ¦ ¦--I:L +1550 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +1551 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +1552 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1553 ¦ ¦ ¦ °--I:N +1554 ¦ ¦ ¦ ¦--A:H 6.1 Medium +1555 ¦ ¦ ¦ ¦--A:L 3.4 Low +1556 ¦ ¦ ¦ °--A:N 0.0 None +1557 ¦ ¦ °--UI:R +1558 ¦ ¦ ¦--S:U +1559 ¦ ¦ ¦ ¦--C:H +1560 ¦ ¦ ¦ ¦ ¦--I:H +1561 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1562 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +1563 ¦ ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +1564 ¦ ¦ ¦ ¦ ¦--I:L +1565 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1566 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1567 ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1568 ¦ ¦ ¦ ¦ °--I:N +1569 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1570 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1571 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1572 ¦ ¦ ¦ ¦--C:L +1573 ¦ ¦ ¦ ¦ ¦--I:H +1574 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1575 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1576 ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1577 ¦ ¦ ¦ ¦ ¦--I:L +1578 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1579 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1580 ¦ ¦ ¦ ¦ ¦ °--A:N 3.7 Low +1581 ¦ ¦ ¦ ¦ °--I:N +1582 ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +1583 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +1584 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +1585 ¦ ¦ ¦ °--C:N +1586 ¦ ¦ ¦ ¦--I:H +1587 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1588 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1589 ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1590 ¦ ¦ ¦ ¦--I:L +1591 ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +1592 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +1593 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +1594 ¦ ¦ ¦ °--I:N +1595 ¦ ¦ ¦ ¦--A:H 4.8 Medium +1596 ¦ ¦ ¦ ¦--A:L 2.6 Low +1597 ¦ ¦ ¦ °--A:N 0.0 None +1598 ¦ ¦ °--S:C +1599 ¦ ¦ ¦--C:H +1600 ¦ ¦ ¦ ¦--I:H +1601 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +1602 ¦ ¦ ¦ ¦ ¦--A:L 7.8 High +1603 ¦ ¦ ¦ ¦ °--A:N 7.5 High +1604 ¦ ¦ ¦ ¦--I:L +1605 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +1606 ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +1607 ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +1608 ¦ ¦ ¦ °--I:N +1609 ¦ ¦ ¦ ¦--A:H 7.5 High +1610 ¦ ¦ ¦ ¦--A:L 6.4 Medium +1611 ¦ ¦ ¦ °--A:N 5.6 Medium +1612 ¦ ¦ ¦--C:L +1613 ¦ ¦ ¦ ¦--I:H +1614 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +1615 ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +1616 ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +1617 ¦ ¦ ¦ ¦--I:L +1618 ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +1619 ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1620 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +1621 ¦ ¦ ¦ °--I:N +1622 ¦ ¦ ¦ ¦--A:H 6.4 Medium +1623 ¦ ¦ ¦ ¦--A:L 4.3 Medium +1624 ¦ ¦ ¦ °--A:N 2.9 Low +1625 ¦ ¦ °--C:N +1626 ¦ ¦ ¦--I:H +1627 ¦ ¦ ¦ ¦--A:H 7.5 High +1628 ¦ ¦ ¦ ¦--A:L 6.4 Medium +1629 ¦ ¦ ¦ °--A:N 5.6 Medium +1630 ¦ ¦ ¦--I:L +1631 ¦ ¦ ¦ ¦--A:H 6.4 Medium +1632 ¦ ¦ ¦ ¦--A:L 4.3 Medium +1633 ¦ ¦ ¦ °--A:N 2.9 Low +1634 ¦ ¦ °--I:N +1635 ¦ ¦ ¦--A:H 5.6 Medium +1636 ¦ ¦ ¦--A:L 2.9 Low +1637 ¦ ¦ °--A:N 0.0 None +1638 ¦ ¦--PR:L +1639 ¦ ¦ ¦--UI:N +1640 ¦ ¦ ¦ ¦--S:U +1641 ¦ ¦ ¦ ¦ ¦--C:H +1642 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1643 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1644 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +1645 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +1646 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1647 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1648 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1649 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1650 ¦ ¦ ¦ ¦ ¦ °--I:N +1651 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1652 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1653 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1654 ¦ ¦ ¦ ¦ ¦--C:L +1655 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1656 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +1657 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1658 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +1659 ¦ ¦ ¦ ¦ ¦ ¦--I:L +1660 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1661 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +1662 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.7 Low +1663 ¦ ¦ ¦ ¦ ¦ °--I:N +1664 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +1665 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +1666 ¦ ¦ ¦ ¦ ¦ °--A:N 2.6 Low +1667 ¦ ¦ ¦ ¦ °--C:N +1668 ¦ ¦ ¦ ¦ ¦--I:H +1669 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1670 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +1671 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1672 ¦ ¦ ¦ ¦ ¦--I:L +1673 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +1674 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +1675 ¦ ¦ ¦ ¦ ¦ °--A:N 2.6 Low +1676 ¦ ¦ ¦ ¦ °--I:N +1677 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +1678 ¦ ¦ ¦ ¦ ¦--A:L 2.6 Low +1679 ¦ ¦ ¦ ¦ °--A:N 0.0 None +1680 ¦ ¦ ¦ °--S:C +1681 ¦ ¦ ¦ ¦--C:H +1682 ¦ ¦ ¦ ¦ ¦--I:H +1683 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1684 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +1685 ¦ ¦ ¦ ¦ ¦ °--A:N 7.7 High +1686 ¦ ¦ ¦ ¦ ¦--I:L +1687 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +1688 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1689 ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1690 ¦ ¦ ¦ ¦ °--I:N +1691 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +1692 ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +1693 ¦ ¦ ¦ ¦ °--A:N 5.8 Medium +1694 ¦ ¦ ¦ ¦--C:L +1695 ¦ ¦ ¦ ¦ ¦--I:H +1696 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +1697 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +1698 ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +1699 ¦ ¦ ¦ ¦ ¦--I:L +1700 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +1701 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +1702 ¦ ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +1703 ¦ ¦ ¦ ¦ °--I:N +1704 ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +1705 ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +1706 ¦ ¦ ¦ ¦ °--A:N 3.0 Low +1707 ¦ ¦ ¦ °--C:N +1708 ¦ ¦ ¦ ¦--I:H +1709 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +1710 ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +1711 ¦ ¦ ¦ ¦ °--A:N 5.8 Medium +1712 ¦ ¦ ¦ ¦--I:L +1713 ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +1714 ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +1715 ¦ ¦ ¦ ¦ °--A:N 3.0 Low +1716 ¦ ¦ ¦ °--I:N +1717 ¦ ¦ ¦ ¦--A:H 5.8 Medium +1718 ¦ ¦ ¦ ¦--A:L 3.0 Low +1719 ¦ ¦ ¦ °--A:N 0.0 None +1720 ¦ ¦ °--UI:R +1721 ¦ ¦ ¦--S:U +1722 ¦ ¦ ¦ ¦--C:H +1723 ¦ ¦ ¦ ¦ ¦--I:H +1724 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1725 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +1726 ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +1727 ¦ ¦ ¦ ¦ ¦--I:L +1728 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1729 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +1730 ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +1731 ¦ ¦ ¦ ¦ °--I:N +1732 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +1733 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1734 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +1735 ¦ ¦ ¦ ¦--C:L +1736 ¦ ¦ ¦ ¦ ¦--I:H +1737 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1738 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +1739 ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +1740 ¦ ¦ ¦ ¦ ¦--I:L +1741 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +1742 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +1743 ¦ ¦ ¦ ¦ ¦ °--A:N 3.4 Low +1744 ¦ ¦ ¦ ¦ °--I:N +1745 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +1746 ¦ ¦ ¦ ¦ ¦--A:L 3.4 Low +1747 ¦ ¦ ¦ ¦ °--A:N 2.3 Low +1748 ¦ ¦ ¦ °--C:N +1749 ¦ ¦ ¦ ¦--I:H +1750 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +1751 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1752 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +1753 ¦ ¦ ¦ ¦--I:L +1754 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +1755 ¦ ¦ ¦ ¦ ¦--A:L 3.4 Low +1756 ¦ ¦ ¦ ¦ °--A:N 2.3 Low +1757 ¦ ¦ ¦ °--I:N +1758 ¦ ¦ ¦ ¦--A:H 4.5 Medium +1759 ¦ ¦ ¦ ¦--A:L 2.3 Low +1760 ¦ ¦ ¦ °--A:N 0.0 None +1761 ¦ ¦ °--S:C +1762 ¦ ¦ ¦--C:H +1763 ¦ ¦ ¦ ¦--I:H +1764 ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1765 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1766 ¦ ¦ ¦ ¦ °--A:N 7.3 High +1767 ¦ ¦ ¦ ¦--I:L +1768 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1769 ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1770 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1771 ¦ ¦ ¦ °--I:N +1772 ¦ ¦ ¦ ¦--A:H 7.3 High +1773 ¦ ¦ ¦ ¦--A:L 6.2 Medium +1774 ¦ ¦ ¦ °--A:N 5.4 Medium +1775 ¦ ¦ ¦--C:L +1776 ¦ ¦ ¦ ¦--I:H +1777 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1778 ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1779 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1780 ¦ ¦ ¦ ¦--I:L +1781 ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1782 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1783 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +1784 ¦ ¦ ¦ °--I:N +1785 ¦ ¦ ¦ ¦--A:H 6.2 Medium +1786 ¦ ¦ ¦ ¦--A:L 4.0 Medium +1787 ¦ ¦ ¦ °--A:N 2.6 Low +1788 ¦ ¦ °--C:N +1789 ¦ ¦ ¦--I:H +1790 ¦ ¦ ¦ ¦--A:H 7.3 High +1791 ¦ ¦ ¦ ¦--A:L 6.2 Medium +1792 ¦ ¦ ¦ °--A:N 5.4 Medium +1793 ¦ ¦ ¦--I:L +1794 ¦ ¦ ¦ ¦--A:H 6.2 Medium +1795 ¦ ¦ ¦ ¦--A:L 4.0 Medium +1796 ¦ ¦ ¦ °--A:N 2.6 Low +1797 ¦ ¦ °--I:N +1798 ¦ ¦ ¦--A:H 5.4 Medium +1799 ¦ ¦ ¦--A:L 2.6 Low +1800 ¦ ¦ °--A:N 0.0 None +1801 ¦ °--PR:H +1802 ¦ ¦--UI:N +1803 ¦ ¦ ¦--S:U +1804 ¦ ¦ ¦ ¦--C:H +1805 ¦ ¦ ¦ ¦ ¦--I:H +1806 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +1807 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +1808 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +1809 ¦ ¦ ¦ ¦ ¦--I:L +1810 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +1811 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +1812 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1813 ¦ ¦ ¦ ¦ °--I:N +1814 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +1815 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1816 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +1817 ¦ ¦ ¦ ¦--C:L +1818 ¦ ¦ ¦ ¦ ¦--I:H +1819 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +1820 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +1821 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +1822 ¦ ¦ ¦ ¦ ¦--I:L +1823 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +1824 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +1825 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +1826 ¦ ¦ ¦ ¦ °--I:N +1827 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +1828 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +1829 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +1830 ¦ ¦ ¦ °--C:N +1831 ¦ ¦ ¦ ¦--I:H +1832 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +1833 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +1834 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +1835 ¦ ¦ ¦ ¦--I:L +1836 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +1837 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +1838 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +1839 ¦ ¦ ¦ °--I:N +1840 ¦ ¦ ¦ ¦--A:H 4.2 Medium +1841 ¦ ¦ ¦ ¦--A:L 2.0 Low +1842 ¦ ¦ ¦ °--A:N 0.0 None +1843 ¦ ¦ °--S:C +1844 ¦ ¦ ¦--C:H +1845 ¦ ¦ ¦ ¦--I:H +1846 ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +1847 ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +1848 ¦ ¦ ¦ ¦ °--A:N 7.3 High +1849 ¦ ¦ ¦ ¦--I:L +1850 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1851 ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1852 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1853 ¦ ¦ ¦ °--I:N +1854 ¦ ¦ ¦ ¦--A:H 7.3 High +1855 ¦ ¦ ¦ ¦--A:L 6.2 Medium +1856 ¦ ¦ ¦ °--A:N 5.4 Medium +1857 ¦ ¦ ¦--C:L +1858 ¦ ¦ ¦ ¦--I:H +1859 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +1860 ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1861 ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1862 ¦ ¦ ¦ ¦--I:L +1863 ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1864 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1865 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +1866 ¦ ¦ ¦ °--I:N +1867 ¦ ¦ ¦ ¦--A:H 6.2 Medium +1868 ¦ ¦ ¦ ¦--A:L 4.0 Medium +1869 ¦ ¦ ¦ °--A:N 2.6 Low +1870 ¦ ¦ °--C:N +1871 ¦ ¦ ¦--I:H +1872 ¦ ¦ ¦ ¦--A:H 7.3 High +1873 ¦ ¦ ¦ ¦--A:L 6.2 Medium +1874 ¦ ¦ ¦ °--A:N 5.4 Medium +1875 ¦ ¦ ¦--I:L +1876 ¦ ¦ ¦ ¦--A:H 6.2 Medium +1877 ¦ ¦ ¦ ¦--A:L 4.0 Medium +1878 ¦ ¦ ¦ °--A:N 2.6 Low +1879 ¦ ¦ °--I:N +1880 ¦ ¦ ¦--A:H 5.4 Medium +1881 ¦ ¦ ¦--A:L 2.6 Low +1882 ¦ ¦ °--A:N 0.0 None +1883 ¦ °--UI:R +1884 ¦ ¦--S:U +1885 ¦ ¦ ¦--C:H +1886 ¦ ¦ ¦ ¦--I:H +1887 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +1888 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1889 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +1890 ¦ ¦ ¦ ¦--I:L +1891 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1892 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1893 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +1894 ¦ ¦ ¦ °--I:N +1895 ¦ ¦ ¦ ¦--A:H 5.6 Medium +1896 ¦ ¦ ¦ ¦--A:L 4.6 Medium +1897 ¦ ¦ ¦ °--A:N 4.0 Medium +1898 ¦ ¦ ¦--C:L +1899 ¦ ¦ ¦ ¦--I:H +1900 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +1901 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1902 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +1903 ¦ ¦ ¦ ¦--I:L +1904 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +1905 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +1906 ¦ ¦ ¦ ¦ °--A:N 2.9 Low +1907 ¦ ¦ ¦ °--I:N +1908 ¦ ¦ ¦ ¦--A:H 4.6 Medium +1909 ¦ ¦ ¦ ¦--A:L 2.9 Low +1910 ¦ ¦ ¦ °--A:N 1.8 Low +1911 ¦ ¦ °--C:N +1912 ¦ ¦ ¦--I:H +1913 ¦ ¦ ¦ ¦--A:H 5.6 Medium +1914 ¦ ¦ ¦ ¦--A:L 4.6 Medium +1915 ¦ ¦ ¦ °--A:N 4.0 Medium +1916 ¦ ¦ ¦--I:L +1917 ¦ ¦ ¦ ¦--A:H 4.6 Medium +1918 ¦ ¦ ¦ ¦--A:L 2.9 Low +1919 ¦ ¦ ¦ °--A:N 1.8 Low +1920 ¦ ¦ °--I:N +1921 ¦ ¦ ¦--A:H 4.0 Medium +1922 ¦ ¦ ¦--A:L 1.8 Low +1923 ¦ ¦ °--A:N 0.0 None +1924 ¦ °--S:C +1925 ¦ ¦--C:H +1926 ¦ ¦ ¦--I:H +1927 ¦ ¦ ¦ ¦--A:H 7.3 High +1928 ¦ ¦ ¦ ¦--A:L 7.2 High +1929 ¦ ¦ ¦ °--A:N 7.0 High +1930 ¦ ¦ ¦--I:L +1931 ¦ ¦ ¦ ¦--A:H 7.2 High +1932 ¦ ¦ ¦ ¦--A:L 6.5 Medium +1933 ¦ ¦ ¦ °--A:N 5.9 Medium +1934 ¦ ¦ °--I:N +1935 ¦ ¦ ¦--A:H 7.0 High +1936 ¦ ¦ ¦--A:L 5.9 Medium +1937 ¦ ¦ °--A:N 5.1 Medium +1938 ¦ ¦--C:L +1939 ¦ ¦ ¦--I:H +1940 ¦ ¦ ¦ ¦--A:H 7.2 High +1941 ¦ ¦ ¦ ¦--A:L 6.5 Medium +1942 ¦ ¦ ¦ °--A:N 5.9 Medium +1943 ¦ ¦ ¦--I:L +1944 ¦ ¦ ¦ ¦--A:H 6.5 Medium +1945 ¦ ¦ ¦ ¦--A:L 4.8 Medium +1946 ¦ ¦ ¦ °--A:N 3.7 Low +1947 ¦ ¦ °--I:N +1948 ¦ ¦ ¦--A:H 5.9 Medium +1949 ¦ ¦ ¦--A:L 3.7 Low +1950 ¦ ¦ °--A:N 2.4 Low +1951 ¦ °--C:N +1952 ¦ ¦--I:H +1953 ¦ ¦ ¦--A:H 7.0 High +1954 ¦ ¦ ¦--A:L 5.9 Medium +1955 ¦ ¦ °--A:N 5.1 Medium +1956 ¦ ¦--I:L +1957 ¦ ¦ ¦--A:H 5.9 Medium +1958 ¦ ¦ ¦--A:L 3.7 Low +1959 ¦ ¦ °--A:N 2.4 Low +1960 ¦ °--I:N +1961 ¦ ¦--A:H 5.1 Medium +1962 ¦ ¦--A:L 2.4 Low +1963 ¦ °--A:N 0.0 None +1964 ¦--AV:L +1965 ¦ ¦--AC:L +1966 ¦ ¦ ¦--PR:N +1967 ¦ ¦ ¦ ¦--UI:N +1968 ¦ ¦ ¦ ¦ ¦--S:U +1969 ¦ ¦ ¦ ¦ ¦ ¦--C:H +1970 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +1971 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +1972 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.0 High +1973 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.7 High +1974 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +1975 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1976 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +1977 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +1978 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +1979 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +1980 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1981 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +1982 ¦ ¦ ¦ ¦ ¦ ¦--C:L +1983 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +1984 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.0 High +1985 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +1986 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +1987 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +1988 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +1989 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +1990 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +1991 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +1992 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +1993 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +1994 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +1995 ¦ ¦ ¦ ¦ ¦ °--C:N +1996 ¦ ¦ ¦ ¦ ¦ ¦--I:H +1997 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +1998 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +1999 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.2 Medium +2000 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2001 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +2002 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +2003 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +2004 ¦ ¦ ¦ ¦ ¦ °--I:N +2005 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +2006 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +2007 ¦ ¦ ¦ ¦ ¦ °--A:N 0.0 None +2008 ¦ ¦ ¦ ¦ °--S:C +2009 ¦ ¦ ¦ ¦ ¦--C:H +2010 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2011 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.3 Critical +2012 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 9.2 Critical +2013 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 9.0 Critical +2014 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2015 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.2 Critical +2016 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.5 High +2017 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.9 High +2018 ¦ ¦ ¦ ¦ ¦ °--I:N +2019 ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.0 Critical +2020 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +2021 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2022 ¦ ¦ ¦ ¦ ¦--C:L +2023 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2024 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.2 Critical +2025 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.5 High +2026 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.9 High +2027 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2028 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +2029 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +2030 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +2031 ¦ ¦ ¦ ¦ ¦ °--I:N +2032 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2033 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2034 ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +2035 ¦ ¦ ¦ ¦ °--C:N +2036 ¦ ¦ ¦ ¦ ¦--I:H +2037 ¦ ¦ ¦ ¦ ¦ ¦--A:H 9.0 Critical +2038 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +2039 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2040 ¦ ¦ ¦ ¦ ¦--I:L +2041 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2042 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2043 ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +2044 ¦ ¦ ¦ ¦ °--I:N +2045 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2046 ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +2047 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2048 ¦ ¦ ¦ °--UI:R +2049 ¦ ¦ ¦ ¦--S:U +2050 ¦ ¦ ¦ ¦ ¦--C:H +2051 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2052 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +2053 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2054 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2055 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2056 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2057 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2058 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2059 ¦ ¦ ¦ ¦ ¦ °--I:N +2060 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2061 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2062 ¦ ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +2063 ¦ ¦ ¦ ¦ ¦--C:L +2064 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2065 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2066 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2067 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2068 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2069 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +2070 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2071 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2072 ¦ ¦ ¦ ¦ ¦ °--I:N +2073 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2074 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +2075 ¦ ¦ ¦ ¦ ¦ °--A:N 3.3 Low +2076 ¦ ¦ ¦ ¦ °--C:N +2077 ¦ ¦ ¦ ¦ ¦--I:H +2078 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2079 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2080 ¦ ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +2081 ¦ ¦ ¦ ¦ ¦--I:L +2082 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2083 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +2084 ¦ ¦ ¦ ¦ ¦ °--A:N 3.3 Low +2085 ¦ ¦ ¦ ¦ °--I:N +2086 ¦ ¦ ¦ ¦ ¦--A:H 5.5 Medium +2087 ¦ ¦ ¦ ¦ ¦--A:L 3.3 Low +2088 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2089 ¦ ¦ ¦ °--S:C +2090 ¦ ¦ ¦ ¦--C:H +2091 ¦ ¦ ¦ ¦ ¦--I:H +2092 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.6 High +2093 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.5 High +2094 ¦ ¦ ¦ ¦ ¦ °--A:N 8.2 High +2095 ¦ ¦ ¦ ¦ ¦--I:L +2096 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +2097 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +2098 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2099 ¦ ¦ ¦ ¦ °--I:N +2100 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +2101 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +2102 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2103 ¦ ¦ ¦ ¦--C:L +2104 ¦ ¦ ¦ ¦ ¦--I:H +2105 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.5 High +2106 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +2107 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2108 ¦ ¦ ¦ ¦ ¦--I:L +2109 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2110 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2111 ¦ ¦ ¦ ¦ ¦ °--A:N 5.0 Medium +2112 ¦ ¦ ¦ ¦ °--I:N +2113 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2114 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2115 ¦ ¦ ¦ ¦ °--A:N 3.6 Low +2116 ¦ ¦ ¦ °--C:N +2117 ¦ ¦ ¦ ¦--I:H +2118 ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +2119 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +2120 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2121 ¦ ¦ ¦ ¦--I:L +2122 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2123 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2124 ¦ ¦ ¦ ¦ °--A:N 3.6 Low +2125 ¦ ¦ ¦ °--I:N +2126 ¦ ¦ ¦ ¦--A:H 6.3 Medium +2127 ¦ ¦ ¦ ¦--A:L 3.6 Low +2128 ¦ ¦ ¦ °--A:N 0.0 None +2129 ¦ ¦ ¦--PR:L +2130 ¦ ¦ ¦ ¦--UI:N +2131 ¦ ¦ ¦ ¦ ¦--S:U +2132 ¦ ¦ ¦ ¦ ¦ ¦--C:H +2133 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +2134 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +2135 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2136 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +2137 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +2138 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2139 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2140 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2141 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +2142 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2143 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2144 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +2145 ¦ ¦ ¦ ¦ ¦ ¦--C:L +2146 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:H +2147 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2148 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2149 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2150 ¦ ¦ ¦ ¦ ¦ ¦ ¦--I:L +2151 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +2152 ¦ ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2153 ¦ ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2154 ¦ ¦ ¦ ¦ ¦ ¦ °--I:N +2155 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2156 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +2157 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.3 Low +2158 ¦ ¦ ¦ ¦ ¦ °--C:N +2159 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2160 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +2161 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2162 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +2163 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2164 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2165 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.4 Medium +2166 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.3 Low +2167 ¦ ¦ ¦ ¦ ¦ °--I:N +2168 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.5 Medium +2169 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.3 Low +2170 ¦ ¦ ¦ ¦ ¦ °--A:N 0.0 None +2171 ¦ ¦ ¦ ¦ °--S:C +2172 ¦ ¦ ¦ ¦ ¦--C:H +2173 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2174 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.8 High +2175 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.7 High +2176 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 8.4 High +2177 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2178 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +2179 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +2180 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.3 High +2181 ¦ ¦ ¦ ¦ ¦ °--I:N +2182 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +2183 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2184 ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +2185 ¦ ¦ ¦ ¦ ¦--C:L +2186 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2187 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.7 High +2188 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.9 High +2189 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 7.3 High +2190 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2191 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2192 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +2193 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +2194 ¦ ¦ ¦ ¦ ¦ °--I:N +2195 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2196 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2197 ¦ ¦ ¦ ¦ ¦ °--A:N 3.8 Low +2198 ¦ ¦ ¦ ¦ °--C:N +2199 ¦ ¦ ¦ ¦ ¦--I:H +2200 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.4 High +2201 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2202 ¦ ¦ ¦ ¦ ¦ °--A:N 6.5 Medium +2203 ¦ ¦ ¦ ¦ ¦--I:L +2204 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2205 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2206 ¦ ¦ ¦ ¦ ¦ °--A:N 3.8 Low +2207 ¦ ¦ ¦ ¦ °--I:N +2208 ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2209 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +2210 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2211 ¦ ¦ ¦ °--UI:R +2212 ¦ ¦ ¦ ¦--S:U +2213 ¦ ¦ ¦ ¦ ¦--C:H +2214 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2215 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2216 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.8 Medium +2217 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.6 Medium +2218 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2219 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +2220 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2221 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +2222 ¦ ¦ ¦ ¦ ¦ °--I:N +2223 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +2224 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +2225 ¦ ¦ ¦ ¦ ¦ °--A:N 5.0 Medium +2226 ¦ ¦ ¦ ¦ ¦--C:L +2227 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2228 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +2229 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2230 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +2231 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2232 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2233 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +2234 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.9 Low +2235 ¦ ¦ ¦ ¦ ¦ °--I:N +2236 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +2237 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +2238 ¦ ¦ ¦ ¦ ¦ °--A:N 2.8 Low +2239 ¦ ¦ ¦ ¦ °--C:N +2240 ¦ ¦ ¦ ¦ ¦--I:H +2241 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +2242 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +2243 ¦ ¦ ¦ ¦ ¦ °--A:N 5.0 Medium +2244 ¦ ¦ ¦ ¦ ¦--I:L +2245 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +2246 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +2247 ¦ ¦ ¦ ¦ ¦ °--A:N 2.8 Low +2248 ¦ ¦ ¦ ¦ °--I:N +2249 ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +2250 ¦ ¦ ¦ ¦ ¦--A:L 2.8 Low +2251 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2252 ¦ ¦ ¦ °--S:C +2253 ¦ ¦ ¦ ¦--C:H +2254 ¦ ¦ ¦ ¦ ¦--I:H +2255 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +2256 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.1 High +2257 ¦ ¦ ¦ ¦ ¦ °--A:N 7.9 High +2258 ¦ ¦ ¦ ¦ ¦--I:L +2259 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2260 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2261 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2262 ¦ ¦ ¦ ¦ °--I:N +2263 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2264 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2265 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +2266 ¦ ¦ ¦ ¦--C:L +2267 ¦ ¦ ¦ ¦ ¦--I:H +2268 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2269 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2270 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2271 ¦ ¦ ¦ ¦ ¦--I:L +2272 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2273 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2274 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2275 ¦ ¦ ¦ ¦ °--I:N +2276 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2277 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +2278 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2279 ¦ ¦ ¦ °--C:N +2280 ¦ ¦ ¦ ¦--I:H +2281 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2282 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2283 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +2284 ¦ ¦ ¦ ¦--I:L +2285 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2286 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +2287 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2288 ¦ ¦ ¦ °--I:N +2289 ¦ ¦ ¦ ¦--A:H 5.9 Medium +2290 ¦ ¦ ¦ ¦--A:L 3.2 Low +2291 ¦ ¦ ¦ °--A:N 0.0 None +2292 ¦ ¦ °--PR:H +2293 ¦ ¦ ¦--UI:N +2294 ¦ ¦ ¦ ¦--S:U +2295 ¦ ¦ ¦ ¦ ¦--C:H +2296 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2297 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2298 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +2299 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.0 Medium +2300 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2301 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2302 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +2303 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +2304 ¦ ¦ ¦ ¦ ¦ °--I:N +2305 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2306 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +2307 ¦ ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2308 ¦ ¦ ¦ ¦ ¦--C:L +2309 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2310 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2311 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +2312 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +2313 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2314 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +2315 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +2316 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.4 Low +2317 ¦ ¦ ¦ ¦ ¦ °--I:N +2318 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +2319 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.4 Low +2320 ¦ ¦ ¦ ¦ ¦ °--A:N 2.3 Low +2321 ¦ ¦ ¦ ¦ °--C:N +2322 ¦ ¦ ¦ ¦ ¦--I:H +2323 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2324 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +2325 ¦ ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2326 ¦ ¦ ¦ ¦ ¦--I:L +2327 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +2328 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.4 Low +2329 ¦ ¦ ¦ ¦ ¦ °--A:N 2.3 Low +2330 ¦ ¦ ¦ ¦ °--I:N +2331 ¦ ¦ ¦ ¦ ¦--A:H 4.4 Medium +2332 ¦ ¦ ¦ ¦ ¦--A:L 2.3 Low +2333 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2334 ¦ ¦ ¦ °--S:C +2335 ¦ ¦ ¦ ¦--C:H +2336 ¦ ¦ ¦ ¦ ¦--I:H +2337 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.2 High +2338 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.1 High +2339 ¦ ¦ ¦ ¦ ¦ °--A:N 7.9 High +2340 ¦ ¦ ¦ ¦ ¦--I:L +2341 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2342 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2343 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2344 ¦ ¦ ¦ ¦ °--I:N +2345 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2346 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2347 ¦ ¦ ¦ ¦ °--A:N 6.0 Medium +2348 ¦ ¦ ¦ ¦--C:L +2349 ¦ ¦ ¦ ¦ ¦--I:H +2350 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2351 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2352 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2353 ¦ ¦ ¦ ¦ ¦--I:L +2354 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2355 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2356 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2357 ¦ ¦ ¦ ¦ °--I:N +2358 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2359 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +2360 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2361 ¦ ¦ ¦ °--C:N +2362 ¦ ¦ ¦ ¦--I:H +2363 ¦ ¦ ¦ ¦ ¦--A:H 7.9 High +2364 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2365 ¦ ¦ ¦ ¦ °--A:N 6.0 Medium +2366 ¦ ¦ ¦ ¦--I:L +2367 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2368 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +2369 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2370 ¦ ¦ ¦ °--I:N +2371 ¦ ¦ ¦ ¦--A:H 6.0 Medium +2372 ¦ ¦ ¦ ¦--A:L 3.2 Low +2373 ¦ ¦ ¦ °--A:N 0.0 None +2374 ¦ ¦ °--UI:R +2375 ¦ ¦ ¦--S:U +2376 ¦ ¦ ¦ ¦--C:H +2377 ¦ ¦ ¦ ¦ ¦--I:H +2378 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2379 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +2380 ¦ ¦ ¦ ¦ ¦ °--A:N 5.8 Medium +2381 ¦ ¦ ¦ ¦ ¦--I:L +2382 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2383 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2384 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +2385 ¦ ¦ ¦ ¦ °--I:N +2386 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2387 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +2388 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +2389 ¦ ¦ ¦ ¦--C:L +2390 ¦ ¦ ¦ ¦ ¦--I:H +2391 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2392 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2393 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +2394 ¦ ¦ ¦ ¦ ¦--I:L +2395 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +2396 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +2397 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +2398 ¦ ¦ ¦ ¦ °--I:N +2399 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +2400 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +2401 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +2402 ¦ ¦ ¦ °--C:N +2403 ¦ ¦ ¦ ¦--I:H +2404 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2405 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +2406 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +2407 ¦ ¦ ¦ ¦--I:L +2408 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +2409 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +2410 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +2411 ¦ ¦ ¦ °--I:N +2412 ¦ ¦ ¦ ¦--A:H 4.2 Medium +2413 ¦ ¦ ¦ ¦--A:L 2.0 Low +2414 ¦ ¦ ¦ °--A:N 0.0 None +2415 ¦ ¦ °--S:C +2416 ¦ ¦ ¦--C:H +2417 ¦ ¦ ¦ ¦--I:H +2418 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2419 ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +2420 ¦ ¦ ¦ ¦ °--A:N 7.4 High +2421 ¦ ¦ ¦ ¦--I:L +2422 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2423 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +2424 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2425 ¦ ¦ ¦ °--I:N +2426 ¦ ¦ ¦ ¦--A:H 7.4 High +2427 ¦ ¦ ¦ ¦--A:L 6.3 Medium +2428 ¦ ¦ ¦ °--A:N 5.5 Medium +2429 ¦ ¦ ¦--C:L +2430 ¦ ¦ ¦ ¦--I:H +2431 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2432 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +2433 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2434 ¦ ¦ ¦ ¦--I:L +2435 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +2436 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2437 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +2438 ¦ ¦ ¦ °--I:N +2439 ¦ ¦ ¦ ¦--A:H 6.3 Medium +2440 ¦ ¦ ¦ ¦--A:L 4.2 Medium +2441 ¦ ¦ ¦ °--A:N 2.8 Low +2442 ¦ ¦ °--C:N +2443 ¦ ¦ ¦--I:H +2444 ¦ ¦ ¦ ¦--A:H 7.4 High +2445 ¦ ¦ ¦ ¦--A:L 6.3 Medium +2446 ¦ ¦ ¦ °--A:N 5.5 Medium +2447 ¦ ¦ ¦--I:L +2448 ¦ ¦ ¦ ¦--A:H 6.3 Medium +2449 ¦ ¦ ¦ ¦--A:L 4.2 Medium +2450 ¦ ¦ ¦ °--A:N 2.8 Low +2451 ¦ ¦ °--I:N +2452 ¦ ¦ ¦--A:H 5.5 Medium +2453 ¦ ¦ ¦--A:L 2.8 Low +2454 ¦ ¦ °--A:N 0.0 None +2455 ¦ °--AC:H +2456 ¦ ¦--PR:N +2457 ¦ ¦ ¦--UI:N +2458 ¦ ¦ ¦ ¦--S:U +2459 ¦ ¦ ¦ ¦ ¦--C:H +2460 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2461 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +2462 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +2463 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2464 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2465 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +2466 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +2467 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +2468 ¦ ¦ ¦ ¦ ¦ °--I:N +2469 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2470 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2471 ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +2472 ¦ ¦ ¦ ¦ ¦--C:L +2473 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2474 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +2475 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +2476 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +2477 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2478 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +2479 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +2480 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +2481 ¦ ¦ ¦ ¦ ¦ °--I:N +2482 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +2483 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +2484 ¦ ¦ ¦ ¦ ¦ °--A:N 2.9 Low +2485 ¦ ¦ ¦ ¦ °--C:N +2486 ¦ ¦ ¦ ¦ ¦--I:H +2487 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2488 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2489 ¦ ¦ ¦ ¦ ¦ °--A:N 5.1 Medium +2490 ¦ ¦ ¦ ¦ ¦--I:L +2491 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +2492 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +2493 ¦ ¦ ¦ ¦ ¦ °--A:N 2.9 Low +2494 ¦ ¦ ¦ ¦ °--I:N +2495 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +2496 ¦ ¦ ¦ ¦ ¦--A:L 2.9 Low +2497 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2498 ¦ ¦ ¦ °--S:C +2499 ¦ ¦ ¦ ¦--C:H +2500 ¦ ¦ ¦ ¦ ¦--I:H +2501 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2502 ¦ ¦ ¦ ¦ ¦ ¦--A:L 8.1 High +2503 ¦ ¦ ¦ ¦ ¦ °--A:N 7.8 High +2504 ¦ ¦ ¦ ¦ ¦--I:L +2505 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2506 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2507 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2508 ¦ ¦ ¦ ¦ °--I:N +2509 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +2510 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2511 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +2512 ¦ ¦ ¦ ¦--C:L +2513 ¦ ¦ ¦ ¦ ¦--I:H +2514 ¦ ¦ ¦ ¦ ¦ ¦--A:H 8.1 High +2515 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +2516 ¦ ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +2517 ¦ ¦ ¦ ¦ ¦--I:L +2518 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +2519 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.6 Medium +2520 ¦ ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +2521 ¦ ¦ ¦ ¦ °--I:N +2522 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2523 ¦ ¦ ¦ ¦ ¦--A:L 4.5 Medium +2524 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2525 ¦ ¦ ¦ °--C:N +2526 ¦ ¦ ¦ ¦--I:H +2527 ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +2528 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2529 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +2530 ¦ ¦ ¦ ¦--I:L +2531 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2532 ¦ ¦ ¦ ¦ ¦--A:L 4.5 Medium +2533 ¦ ¦ ¦ ¦ °--A:N 3.2 Low +2534 ¦ ¦ ¦ °--I:N +2535 ¦ ¦ ¦ ¦--A:H 5.9 Medium +2536 ¦ ¦ ¦ ¦--A:L 3.2 Low +2537 ¦ ¦ ¦ °--A:N 0.0 None +2538 ¦ ¦ °--UI:R +2539 ¦ ¦ ¦--S:U +2540 ¦ ¦ ¦ ¦--C:H +2541 ¦ ¦ ¦ ¦ ¦--I:H +2542 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +2543 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +2544 ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2545 ¦ ¦ ¦ ¦ ¦--I:L +2546 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2547 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +2548 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +2549 ¦ ¦ ¦ ¦ °--I:N +2550 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2551 ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2552 ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2553 ¦ ¦ ¦ ¦--C:L +2554 ¦ ¦ ¦ ¦ ¦--I:H +2555 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2556 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +2557 ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +2558 ¦ ¦ ¦ ¦ ¦--I:L +2559 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2560 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.5 Medium +2561 ¦ ¦ ¦ ¦ ¦ °--A:N 3.6 Low +2562 ¦ ¦ ¦ ¦ °--I:N +2563 ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +2564 ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +2565 ¦ ¦ ¦ ¦ °--A:N 2.5 Low +2566 ¦ ¦ ¦ °--C:N +2567 ¦ ¦ ¦ ¦--I:H +2568 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2569 ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2570 ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2571 ¦ ¦ ¦ ¦--I:L +2572 ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +2573 ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +2574 ¦ ¦ ¦ ¦ °--A:N 2.5 Low +2575 ¦ ¦ ¦ °--I:N +2576 ¦ ¦ ¦ ¦--A:H 4.7 Medium +2577 ¦ ¦ ¦ ¦--A:L 2.5 Low +2578 ¦ ¦ ¦ °--A:N 0.0 None +2579 ¦ ¦ °--S:C +2580 ¦ ¦ ¦--C:H +2581 ¦ ¦ ¦ ¦--I:H +2582 ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2583 ¦ ¦ ¦ ¦ ¦--A:L 7.6 High +2584 ¦ ¦ ¦ ¦ °--A:N 7.4 High +2585 ¦ ¦ ¦ ¦--I:L +2586 ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +2587 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +2588 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2589 ¦ ¦ ¦ °--I:N +2590 ¦ ¦ ¦ ¦--A:H 7.4 High +2591 ¦ ¦ ¦ ¦--A:L 6.3 Medium +2592 ¦ ¦ ¦ °--A:N 5.5 Medium +2593 ¦ ¦ ¦--C:L +2594 ¦ ¦ ¦ ¦--I:H +2595 ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +2596 ¦ ¦ ¦ ¦ ¦--A:L 6.9 Medium +2597 ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2598 ¦ ¦ ¦ ¦--I:L +2599 ¦ ¦ ¦ ¦ ¦--A:H 6.9 Medium +2600 ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2601 ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +2602 ¦ ¦ ¦ °--I:N +2603 ¦ ¦ ¦ ¦--A:H 6.3 Medium +2604 ¦ ¦ ¦ ¦--A:L 4.1 Medium +2605 ¦ ¦ ¦ °--A:N 2.7 Low +2606 ¦ ¦ °--C:N +2607 ¦ ¦ ¦--I:H +2608 ¦ ¦ ¦ ¦--A:H 7.4 High +2609 ¦ ¦ ¦ ¦--A:L 6.3 Medium +2610 ¦ ¦ ¦ °--A:N 5.5 Medium +2611 ¦ ¦ ¦--I:L +2612 ¦ ¦ ¦ ¦--A:H 6.3 Medium +2613 ¦ ¦ ¦ ¦--A:L 4.1 Medium +2614 ¦ ¦ ¦ °--A:N 2.7 Low +2615 ¦ ¦ °--I:N +2616 ¦ ¦ ¦--A:H 5.5 Medium +2617 ¦ ¦ ¦--A:L 2.7 Low +2618 ¦ ¦ °--A:N 0.0 None +2619 ¦ ¦--PR:L +2620 ¦ ¦ ¦--UI:N +2621 ¦ ¦ ¦ ¦--S:U +2622 ¦ ¦ ¦ ¦ ¦--C:H +2623 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2624 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +2625 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +2626 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.3 Medium +2627 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2628 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2629 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +2630 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +2631 ¦ ¦ ¦ ¦ ¦ °--I:N +2632 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2633 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2634 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2635 ¦ ¦ ¦ ¦ ¦--C:L +2636 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2637 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +2638 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +2639 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +2640 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2641 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2642 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.5 Medium +2643 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.6 Low +2644 ¦ ¦ ¦ ¦ ¦ °--I:N +2645 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +2646 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +2647 ¦ ¦ ¦ ¦ ¦ °--A:N 2.5 Low +2648 ¦ ¦ ¦ ¦ °--C:N +2649 ¦ ¦ ¦ ¦ ¦--I:H +2650 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2651 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2652 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2653 ¦ ¦ ¦ ¦ ¦--I:L +2654 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +2655 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +2656 ¦ ¦ ¦ ¦ ¦ °--A:N 2.5 Low +2657 ¦ ¦ ¦ ¦ °--I:N +2658 ¦ ¦ ¦ ¦ ¦--A:H 4.7 Medium +2659 ¦ ¦ ¦ ¦ ¦--A:L 2.5 Low +2660 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2661 ¦ ¦ ¦ °--S:C +2662 ¦ ¦ ¦ ¦--C:H +2663 ¦ ¦ ¦ ¦ ¦--I:H +2664 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.8 High +2665 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.7 High +2666 ¦ ¦ ¦ ¦ ¦ °--A:N 7.5 High +2667 ¦ ¦ ¦ ¦ ¦--I:L +2668 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2669 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +2670 ¦ ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +2671 ¦ ¦ ¦ ¦ °--I:N +2672 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +2673 ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +2674 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +2675 ¦ ¦ ¦ ¦--C:L +2676 ¦ ¦ ¦ ¦ ¦--I:H +2677 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.7 High +2678 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +2679 ¦ ¦ ¦ ¦ ¦ °--A:N 6.4 Medium +2680 ¦ ¦ ¦ ¦ ¦--I:L +2681 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +2682 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +2683 ¦ ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +2684 ¦ ¦ ¦ ¦ °--I:N +2685 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +2686 ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +2687 ¦ ¦ ¦ ¦ °--A:N 2.8 Low +2688 ¦ ¦ ¦ °--C:N +2689 ¦ ¦ ¦ ¦--I:H +2690 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +2691 ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +2692 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +2693 ¦ ¦ ¦ ¦--I:L +2694 ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +2695 ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +2696 ¦ ¦ ¦ ¦ °--A:N 2.8 Low +2697 ¦ ¦ ¦ °--I:N +2698 ¦ ¦ ¦ ¦--A:H 5.6 Medium +2699 ¦ ¦ ¦ ¦--A:L 2.8 Low +2700 ¦ ¦ ¦ °--A:N 0.0 None +2701 ¦ ¦ °--UI:R +2702 ¦ ¦ ¦--S:U +2703 ¦ ¦ ¦ ¦--C:H +2704 ¦ ¦ ¦ ¦ ¦--I:H +2705 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2706 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +2707 ¦ ¦ ¦ ¦ ¦ °--A:N 6.0 Medium +2708 ¦ ¦ ¦ ¦ ¦--I:L +2709 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2710 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +2711 ¦ ¦ ¦ ¦ ¦ °--A:N 5.0 Medium +2712 ¦ ¦ ¦ ¦ °--I:N +2713 ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2714 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2715 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2716 ¦ ¦ ¦ ¦--C:L +2717 ¦ ¦ ¦ ¦ ¦--I:H +2718 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2719 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.5 Medium +2720 ¦ ¦ ¦ ¦ ¦ °--A:N 5.0 Medium +2721 ¦ ¦ ¦ ¦ ¦--I:L +2722 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.5 Medium +2723 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.2 Medium +2724 ¦ ¦ ¦ ¦ ¦ °--A:N 3.3 Low +2725 ¦ ¦ ¦ ¦ °--I:N +2726 ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +2727 ¦ ¦ ¦ ¦ ¦--A:L 3.3 Low +2728 ¦ ¦ ¦ ¦ °--A:N 2.2 Low +2729 ¦ ¦ ¦ °--C:N +2730 ¦ ¦ ¦ ¦--I:H +2731 ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2732 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2733 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +2734 ¦ ¦ ¦ ¦--I:L +2735 ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +2736 ¦ ¦ ¦ ¦ ¦--A:L 3.3 Low +2737 ¦ ¦ ¦ ¦ °--A:N 2.2 Low +2738 ¦ ¦ ¦ °--I:N +2739 ¦ ¦ ¦ ¦--A:H 4.4 Medium +2740 ¦ ¦ ¦ ¦--A:L 2.2 Low +2741 ¦ ¦ ¦ °--A:N 0.0 None +2742 ¦ ¦ °--S:C +2743 ¦ ¦ ¦--C:H +2744 ¦ ¦ ¦ ¦--I:H +2745 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +2746 ¦ ¦ ¦ ¦ ¦--A:L 7.4 High +2747 ¦ ¦ ¦ ¦ °--A:N 7.2 High +2748 ¦ ¦ ¦ ¦--I:L +2749 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +2750 ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2751 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2752 ¦ ¦ ¦ °--I:N +2753 ¦ ¦ ¦ ¦--A:H 7.2 High +2754 ¦ ¦ ¦ ¦--A:L 6.1 Medium +2755 ¦ ¦ ¦ °--A:N 5.3 Medium +2756 ¦ ¦ ¦--C:L +2757 ¦ ¦ ¦ ¦--I:H +2758 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +2759 ¦ ¦ ¦ ¦ ¦--A:L 6.6 Medium +2760 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2761 ¦ ¦ ¦ ¦--I:L +2762 ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +2763 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2764 ¦ ¦ ¦ ¦ °--A:N 3.9 Low +2765 ¦ ¦ ¦ °--I:N +2766 ¦ ¦ ¦ ¦--A:H 6.1 Medium +2767 ¦ ¦ ¦ ¦--A:L 3.9 Low +2768 ¦ ¦ ¦ °--A:N 2.5 Low +2769 ¦ ¦ °--C:N +2770 ¦ ¦ ¦--I:H +2771 ¦ ¦ ¦ ¦--A:H 7.2 High +2772 ¦ ¦ ¦ ¦--A:L 6.1 Medium +2773 ¦ ¦ ¦ °--A:N 5.3 Medium +2774 ¦ ¦ ¦--I:L +2775 ¦ ¦ ¦ ¦--A:H 6.1 Medium +2776 ¦ ¦ ¦ ¦--A:L 3.9 Low +2777 ¦ ¦ ¦ °--A:N 2.5 Low +2778 ¦ ¦ °--I:N +2779 ¦ ¦ ¦--A:H 5.3 Medium +2780 ¦ ¦ ¦--A:L 2.5 Low +2781 ¦ ¦ °--A:N 0.0 None +2782 ¦ °--PR:H +2783 ¦ ¦--UI:N +2784 ¦ ¦ ¦--S:U +2785 ¦ ¦ ¦ ¦--C:H +2786 ¦ ¦ ¦ ¦ ¦--I:H +2787 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +2788 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +2789 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +2790 ¦ ¦ ¦ ¦ ¦--I:L +2791 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2792 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2793 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2794 ¦ ¦ ¦ ¦ °--I:N +2795 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +2796 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +2797 ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +2798 ¦ ¦ ¦ ¦--C:L +2799 ¦ ¦ ¦ ¦ ¦--I:H +2800 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +2801 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2802 ¦ ¦ ¦ ¦ ¦ °--A:N 4.7 Medium +2803 ¦ ¦ ¦ ¦ ¦--I:L +2804 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +2805 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +2806 ¦ ¦ ¦ ¦ ¦ °--A:N 3.0 Low +2807 ¦ ¦ ¦ ¦ °--I:N +2808 ¦ ¦ ¦ ¦ ¦--A:H 4.7 Medium +2809 ¦ ¦ ¦ ¦ ¦--A:L 3.0 Low +2810 ¦ ¦ ¦ ¦ °--A:N 1.9 Low +2811 ¦ ¦ ¦ °--C:N +2812 ¦ ¦ ¦ ¦--I:H +2813 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +2814 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +2815 ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +2816 ¦ ¦ ¦ ¦--I:L +2817 ¦ ¦ ¦ ¦ ¦--A:H 4.7 Medium +2818 ¦ ¦ ¦ ¦ ¦--A:L 3.0 Low +2819 ¦ ¦ ¦ ¦ °--A:N 1.9 Low +2820 ¦ ¦ ¦ °--I:N +2821 ¦ ¦ ¦ ¦--A:H 4.1 Medium +2822 ¦ ¦ ¦ ¦--A:L 1.9 Low +2823 ¦ ¦ ¦ °--A:N 0.0 None +2824 ¦ ¦ °--S:C +2825 ¦ ¦ ¦--C:H +2826 ¦ ¦ ¦ ¦--I:H +2827 ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +2828 ¦ ¦ ¦ ¦ ¦--A:L 7.4 High +2829 ¦ ¦ ¦ ¦ °--A:N 7.2 High +2830 ¦ ¦ ¦ ¦--I:L +2831 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +2832 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2833 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2834 ¦ ¦ ¦ °--I:N +2835 ¦ ¦ ¦ ¦--A:H 7.2 High +2836 ¦ ¦ ¦ ¦--A:L 6.1 Medium +2837 ¦ ¦ ¦ °--A:N 5.3 Medium +2838 ¦ ¦ ¦--C:L +2839 ¦ ¦ ¦ ¦--I:H +2840 ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +2841 ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2842 ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2843 ¦ ¦ ¦ ¦--I:L +2844 ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +2845 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +2846 ¦ ¦ ¦ ¦ °--A:N 3.9 Low +2847 ¦ ¦ ¦ °--I:N +2848 ¦ ¦ ¦ ¦--A:H 6.1 Medium +2849 ¦ ¦ ¦ ¦--A:L 3.9 Low +2850 ¦ ¦ ¦ °--A:N 2.5 Low +2851 ¦ ¦ °--C:N +2852 ¦ ¦ ¦--I:H +2853 ¦ ¦ ¦ ¦--A:H 7.2 High +2854 ¦ ¦ ¦ ¦--A:L 6.1 Medium +2855 ¦ ¦ ¦ °--A:N 5.3 Medium +2856 ¦ ¦ ¦--I:L +2857 ¦ ¦ ¦ ¦--A:H 6.1 Medium +2858 ¦ ¦ ¦ ¦--A:L 3.9 Low +2859 ¦ ¦ ¦ °--A:N 2.5 Low +2860 ¦ ¦ °--I:N +2861 ¦ ¦ ¦--A:H 5.3 Medium +2862 ¦ ¦ ¦--A:L 2.5 Low +2863 ¦ ¦ °--A:N 0.0 None +2864 ¦ °--UI:R +2865 ¦ ¦--S:U +2866 ¦ ¦ ¦--C:H +2867 ¦ ¦ ¦ ¦--I:H +2868 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +2869 ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +2870 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +2871 ¦ ¦ ¦ ¦--I:L +2872 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2873 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +2874 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2875 ¦ ¦ ¦ °--I:N +2876 ¦ ¦ ¦ ¦--A:H 5.6 Medium +2877 ¦ ¦ ¦ ¦--A:L 4.6 Medium +2878 ¦ ¦ ¦ °--A:N 4.0 Medium +2879 ¦ ¦ ¦--C:L +2880 ¦ ¦ ¦ ¦--I:H +2881 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +2882 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +2883 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2884 ¦ ¦ ¦ ¦--I:L +2885 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +2886 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +2887 ¦ ¦ ¦ ¦ °--A:N 2.9 Low +2888 ¦ ¦ ¦ °--I:N +2889 ¦ ¦ ¦ ¦--A:H 4.6 Medium +2890 ¦ ¦ ¦ ¦--A:L 2.9 Low +2891 ¦ ¦ ¦ °--A:N 1.8 Low +2892 ¦ ¦ °--C:N +2893 ¦ ¦ ¦--I:H +2894 ¦ ¦ ¦ ¦--A:H 5.6 Medium +2895 ¦ ¦ ¦ ¦--A:L 4.6 Medium +2896 ¦ ¦ ¦ °--A:N 4.0 Medium +2897 ¦ ¦ ¦--I:L +2898 ¦ ¦ ¦ ¦--A:H 4.6 Medium +2899 ¦ ¦ ¦ ¦--A:L 2.9 Low +2900 ¦ ¦ ¦ °--A:N 1.8 Low +2901 ¦ ¦ °--I:N +2902 ¦ ¦ ¦--A:H 4.0 Medium +2903 ¦ ¦ ¦--A:L 1.8 Low +2904 ¦ ¦ °--A:N 0.0 None +2905 ¦ °--S:C +2906 ¦ ¦--C:H +2907 ¦ ¦ ¦--I:H +2908 ¦ ¦ ¦ ¦--A:H 7.2 High +2909 ¦ ¦ ¦ ¦--A:L 7.2 High +2910 ¦ ¦ ¦ °--A:N 6.9 Medium +2911 ¦ ¦ ¦--I:L +2912 ¦ ¦ ¦ ¦--A:H 7.2 High +2913 ¦ ¦ ¦ ¦--A:L 6.4 Medium +2914 ¦ ¦ ¦ °--A:N 5.8 Medium +2915 ¦ ¦ °--I:N +2916 ¦ ¦ ¦--A:H 6.9 Medium +2917 ¦ ¦ ¦--A:L 5.8 Medium +2918 ¦ ¦ °--A:N 5.0 Medium +2919 ¦ ¦--C:L +2920 ¦ ¦ ¦--I:H +2921 ¦ ¦ ¦ ¦--A:H 7.2 High +2922 ¦ ¦ ¦ ¦--A:L 6.4 Medium +2923 ¦ ¦ ¦ °--A:N 5.8 Medium +2924 ¦ ¦ ¦--I:L +2925 ¦ ¦ ¦ ¦--A:H 6.4 Medium +2926 ¦ ¦ ¦ ¦--A:L 4.7 Medium +2927 ¦ ¦ ¦ °--A:N 3.7 Low +2928 ¦ ¦ °--I:N +2929 ¦ ¦ ¦--A:H 5.8 Medium +2930 ¦ ¦ ¦--A:L 3.7 Low +2931 ¦ ¦ °--A:N 2.3 Low +2932 ¦ °--C:N +2933 ¦ ¦--I:H +2934 ¦ ¦ ¦--A:H 6.9 Medium +2935 ¦ ¦ ¦--A:L 5.8 Medium +2936 ¦ ¦ °--A:N 5.0 Medium +2937 ¦ ¦--I:L +2938 ¦ ¦ ¦--A:H 5.8 Medium +2939 ¦ ¦ ¦--A:L 3.7 Low +2940 ¦ ¦ °--A:N 2.3 Low +2941 ¦ °--I:N +2942 ¦ ¦--A:H 5.0 Medium +2943 ¦ ¦--A:L 2.3 Low +2944 ¦ °--A:N 0.0 None +2945 °--AV:P +2946 ¦--AC:L +2947 ¦ ¦--PR:N +2948 ¦ ¦ ¦--UI:N +2949 ¦ ¦ ¦ ¦--S:U +2950 ¦ ¦ ¦ ¦ ¦--C:H +2951 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2952 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.8 Medium +2953 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.4 Medium +2954 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2955 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2956 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +2957 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2958 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +2959 ¦ ¦ ¦ ¦ ¦ °--I:N +2960 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2961 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2962 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2963 ¦ ¦ ¦ ¦ ¦--C:L +2964 ¦ ¦ ¦ ¦ ¦ ¦--I:H +2965 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +2966 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +2967 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +2968 ¦ ¦ ¦ ¦ ¦ ¦--I:L +2969 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +2970 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.3 Medium +2971 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.5 Low +2972 ¦ ¦ ¦ ¦ ¦ °--I:N +2973 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +2974 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +2975 ¦ ¦ ¦ ¦ ¦ °--A:N 2.4 Low +2976 ¦ ¦ ¦ ¦ °--C:N +2977 ¦ ¦ ¦ ¦ ¦--I:H +2978 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +2979 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +2980 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +2981 ¦ ¦ ¦ ¦ ¦--I:L +2982 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +2983 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.5 Low +2984 ¦ ¦ ¦ ¦ ¦ °--A:N 2.4 Low +2985 ¦ ¦ ¦ ¦ °--I:N +2986 ¦ ¦ ¦ ¦ ¦--A:H 4.6 Medium +2987 ¦ ¦ ¦ ¦ ¦--A:L 2.4 Low +2988 ¦ ¦ ¦ ¦ °--A:N 0.0 None +2989 ¦ ¦ ¦ °--S:C +2990 ¦ ¦ ¦ ¦--C:H +2991 ¦ ¦ ¦ ¦ ¦--I:H +2992 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.6 High +2993 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.5 High +2994 ¦ ¦ ¦ ¦ ¦ °--A:N 7.3 High +2995 ¦ ¦ ¦ ¦ ¦--I:L +2996 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +2997 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +2998 ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +2999 ¦ ¦ ¦ ¦ °--I:N +3000 ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +3001 ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +3002 ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +3003 ¦ ¦ ¦ ¦--C:L +3004 ¦ ¦ ¦ ¦ ¦--I:H +3005 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.5 High +3006 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.7 Medium +3007 ¦ ¦ ¦ ¦ ¦ °--A:N 6.1 Medium +3008 ¦ ¦ ¦ ¦ ¦--I:L +3009 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.7 Medium +3010 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +3011 ¦ ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +3012 ¦ ¦ ¦ ¦ °--I:N +3013 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +3014 ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +3015 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +3016 ¦ ¦ ¦ °--C:N +3017 ¦ ¦ ¦ ¦--I:H +3018 ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +3019 ¦ ¦ ¦ ¦ ¦--A:L 6.1 Medium +3020 ¦ ¦ ¦ ¦ °--A:N 5.3 Medium +3021 ¦ ¦ ¦ ¦--I:L +3022 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +3023 ¦ ¦ ¦ ¦ ¦--A:L 4.0 Medium +3024 ¦ ¦ ¦ ¦ °--A:N 2.6 Low +3025 ¦ ¦ ¦ °--I:N +3026 ¦ ¦ ¦ ¦--A:H 5.3 Medium +3027 ¦ ¦ ¦ ¦--A:L 2.6 Low +3028 ¦ ¦ ¦ °--A:N 0.0 None +3029 ¦ ¦ °--UI:R +3030 ¦ ¦ ¦--S:U +3031 ¦ ¦ ¦ ¦--C:H +3032 ¦ ¦ ¦ ¦ ¦--I:H +3033 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +3034 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +3035 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3036 ¦ ¦ ¦ ¦ ¦--I:L +3037 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3038 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +3039 ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +3040 ¦ ¦ ¦ ¦ °--I:N +3041 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3042 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3043 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +3044 ¦ ¦ ¦ ¦--C:L +3045 ¦ ¦ ¦ ¦ ¦--I:H +3046 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3047 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +3048 ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +3049 ¦ ¦ ¦ ¦ ¦--I:L +3050 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +3051 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +3052 ¦ ¦ ¦ ¦ ¦ °--A:N 3.2 Low +3053 ¦ ¦ ¦ ¦ °--I:N +3054 ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +3055 ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +3056 ¦ ¦ ¦ ¦ °--A:N 2.1 Low +3057 ¦ ¦ ¦ °--C:N +3058 ¦ ¦ ¦ ¦--I:H +3059 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3060 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3061 ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +3062 ¦ ¦ ¦ ¦--I:L +3063 ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +3064 ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +3065 ¦ ¦ ¦ ¦ °--A:N 2.1 Low +3066 ¦ ¦ ¦ °--I:N +3067 ¦ ¦ ¦ ¦--A:H 4.3 Medium +3068 ¦ ¦ ¦ ¦--A:L 2.1 Low +3069 ¦ ¦ ¦ °--A:N 0.0 None +3070 ¦ ¦ °--S:C +3071 ¦ ¦ ¦--C:H +3072 ¦ ¦ ¦ ¦--I:H +3073 ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +3074 ¦ ¦ ¦ ¦ ¦--A:L 7.2 High +3075 ¦ ¦ ¦ ¦ °--A:N 7.0 High +3076 ¦ ¦ ¦ ¦--I:L +3077 ¦ ¦ ¦ ¦ ¦--A:H 7.2 High +3078 ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +3079 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3080 ¦ ¦ ¦ °--I:N +3081 ¦ ¦ ¦ ¦--A:H 7.0 High +3082 ¦ ¦ ¦ ¦--A:L 5.9 Medium +3083 ¦ ¦ ¦ °--A:N 5.1 Medium +3084 ¦ ¦ ¦--C:L +3085 ¦ ¦ ¦ ¦--I:H +3086 ¦ ¦ ¦ ¦ ¦--A:H 7.2 High +3087 ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +3088 ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3089 ¦ ¦ ¦ ¦--I:L +3090 ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +3091 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +3092 ¦ ¦ ¦ ¦ °--A:N 3.7 Low +3093 ¦ ¦ ¦ °--I:N +3094 ¦ ¦ ¦ ¦--A:H 5.9 Medium +3095 ¦ ¦ ¦ ¦--A:L 3.7 Low +3096 ¦ ¦ ¦ °--A:N 2.3 Low +3097 ¦ ¦ °--C:N +3098 ¦ ¦ ¦--I:H +3099 ¦ ¦ ¦ ¦--A:H 7.0 High +3100 ¦ ¦ ¦ ¦--A:L 5.9 Medium +3101 ¦ ¦ ¦ °--A:N 5.1 Medium +3102 ¦ ¦ ¦--I:L +3103 ¦ ¦ ¦ ¦--A:H 5.9 Medium +3104 ¦ ¦ ¦ ¦--A:L 3.7 Low +3105 ¦ ¦ ¦ °--A:N 2.3 Low +3106 ¦ ¦ °--I:N +3107 ¦ ¦ ¦--A:H 5.1 Medium +3108 ¦ ¦ ¦--A:L 2.3 Low +3109 ¦ ¦ °--A:N 0.0 None +3110 ¦ ¦--PR:L +3111 ¦ ¦ ¦--UI:N +3112 ¦ ¦ ¦ ¦--S:U +3113 ¦ ¦ ¦ ¦ ¦--C:H +3114 ¦ ¦ ¦ ¦ ¦ ¦--I:H +3115 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.6 Medium +3116 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +3117 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3118 ¦ ¦ ¦ ¦ ¦ ¦--I:L +3119 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3120 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +3121 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +3122 ¦ ¦ ¦ ¦ ¦ °--I:N +3123 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3124 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3125 ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +3126 ¦ ¦ ¦ ¦ ¦--C:L +3127 ¦ ¦ ¦ ¦ ¦ ¦--I:H +3128 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3129 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.4 Medium +3130 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 4.9 Medium +3131 ¦ ¦ ¦ ¦ ¦ ¦--I:L +3132 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.4 Medium +3133 ¦ ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.1 Medium +3134 ¦ ¦ ¦ ¦ ¦ ¦ °--A:N 3.2 Low +3135 ¦ ¦ ¦ ¦ ¦ °--I:N +3136 ¦ ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +3137 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +3138 ¦ ¦ ¦ ¦ ¦ °--A:N 2.1 Low +3139 ¦ ¦ ¦ ¦ °--C:N +3140 ¦ ¦ ¦ ¦ ¦--I:H +3141 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3142 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3143 ¦ ¦ ¦ ¦ ¦ °--A:N 4.3 Medium +3144 ¦ ¦ ¦ ¦ ¦--I:L +3145 ¦ ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +3146 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.2 Low +3147 ¦ ¦ ¦ ¦ ¦ °--A:N 2.1 Low +3148 ¦ ¦ ¦ ¦ °--I:N +3149 ¦ ¦ ¦ ¦ ¦--A:H 4.3 Medium +3150 ¦ ¦ ¦ ¦ ¦--A:L 2.1 Low +3151 ¦ ¦ ¦ ¦ °--A:N 0.0 None +3152 ¦ ¦ ¦ °--S:C +3153 ¦ ¦ ¦ ¦--C:H +3154 ¦ ¦ ¦ ¦ ¦--I:H +3155 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.4 High +3156 ¦ ¦ ¦ ¦ ¦ ¦--A:L 7.3 High +3157 ¦ ¦ ¦ ¦ ¦ °--A:N 7.1 High +3158 ¦ ¦ ¦ ¦ ¦--I:L +3159 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +3160 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +3161 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3162 ¦ ¦ ¦ ¦ °--I:N +3163 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3164 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +3165 ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +3166 ¦ ¦ ¦ ¦--C:L +3167 ¦ ¦ ¦ ¦ ¦--I:H +3168 ¦ ¦ ¦ ¦ ¦ ¦--A:H 7.3 High +3169 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.5 Medium +3170 ¦ ¦ ¦ ¦ ¦ °--A:N 5.9 Medium +3171 ¦ ¦ ¦ ¦ ¦--I:L +3172 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.5 Medium +3173 ¦ ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3174 ¦ ¦ ¦ ¦ ¦ °--A:N 3.8 Low +3175 ¦ ¦ ¦ ¦ °--I:N +3176 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3177 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +3178 ¦ ¦ ¦ ¦ °--A:N 2.4 Low +3179 ¦ ¦ ¦ °--C:N +3180 ¦ ¦ ¦ ¦--I:H +3181 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3182 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +3183 ¦ ¦ ¦ ¦ °--A:N 5.2 Medium +3184 ¦ ¦ ¦ ¦--I:L +3185 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3186 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +3187 ¦ ¦ ¦ ¦ °--A:N 2.4 Low +3188 ¦ ¦ ¦ °--I:N +3189 ¦ ¦ ¦ ¦--A:H 5.2 Medium +3190 ¦ ¦ ¦ ¦--A:L 2.4 Low +3191 ¦ ¦ ¦ °--A:N 0.0 None +3192 ¦ ¦ °--UI:R +3193 ¦ ¦ ¦--S:U +3194 ¦ ¦ ¦ ¦--C:H +3195 ¦ ¦ ¦ ¦ ¦--I:H +3196 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +3197 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +3198 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3199 ¦ ¦ ¦ ¦ ¦--I:L +3200 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +3201 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +3202 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +3203 ¦ ¦ ¦ ¦ °--I:N +3204 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3205 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +3206 ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +3207 ¦ ¦ ¦ ¦--C:L +3208 ¦ ¦ ¦ ¦ ¦--I:H +3209 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +3210 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.2 Medium +3211 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +3212 ¦ ¦ ¦ ¦ ¦--I:L +3213 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.2 Medium +3214 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +3215 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +3216 ¦ ¦ ¦ ¦ °--I:N +3217 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +3218 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +3219 ¦ ¦ ¦ ¦ °--A:N 1.9 Low +3220 ¦ ¦ ¦ °--C:N +3221 ¦ ¦ ¦ ¦--I:H +3222 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3223 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +3224 ¦ ¦ ¦ ¦ °--A:N 4.1 Medium +3225 ¦ ¦ ¦ ¦--I:L +3226 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +3227 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +3228 ¦ ¦ ¦ ¦ °--A:N 1.9 Low +3229 ¦ ¦ ¦ °--I:N +3230 ¦ ¦ ¦ ¦--A:H 4.1 Medium +3231 ¦ ¦ ¦ ¦--A:L 1.9 Low +3232 ¦ ¦ ¦ °--A:N 0.0 None +3233 ¦ ¦ °--S:C +3234 ¦ ¦ ¦--C:H +3235 ¦ ¦ ¦ ¦--I:H +3236 ¦ ¦ ¦ ¦ ¦--A:H 7.2 High +3237 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +3238 ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +3239 ¦ ¦ ¦ ¦--I:L +3240 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3241 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3242 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3243 ¦ ¦ ¦ °--I:N +3244 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3245 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3246 ¦ ¦ ¦ °--A:N 4.9 Medium +3247 ¦ ¦ ¦--C:L +3248 ¦ ¦ ¦ ¦--I:H +3249 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3250 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3251 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3252 ¦ ¦ ¦ ¦--I:L +3253 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +3254 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +3255 ¦ ¦ ¦ ¦ °--A:N 3.6 Low +3256 ¦ ¦ ¦ °--I:N +3257 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3258 ¦ ¦ ¦ ¦--A:L 3.6 Low +3259 ¦ ¦ ¦ °--A:N 2.2 Low +3260 ¦ ¦ °--C:N +3261 ¦ ¦ ¦--I:H +3262 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3263 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3264 ¦ ¦ ¦ °--A:N 4.9 Medium +3265 ¦ ¦ ¦--I:L +3266 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3267 ¦ ¦ ¦ ¦--A:L 3.6 Low +3268 ¦ ¦ ¦ °--A:N 2.2 Low +3269 ¦ ¦ °--I:N +3270 ¦ ¦ ¦--A:H 4.9 Medium +3271 ¦ ¦ ¦--A:L 2.2 Low +3272 ¦ ¦ °--A:N 0.0 None +3273 ¦ °--PR:H +3274 ¦ ¦--UI:N +3275 ¦ ¦ ¦--S:U +3276 ¦ ¦ ¦ ¦--C:H +3277 ¦ ¦ ¦ ¦ ¦--I:H +3278 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3279 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +3280 ¦ ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +3281 ¦ ¦ ¦ ¦ ¦--I:L +3282 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +3283 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3284 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3285 ¦ ¦ ¦ ¦ °--I:N +3286 ¦ ¦ ¦ ¦ ¦--A:H 5.5 Medium +3287 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +3288 ¦ ¦ ¦ ¦ °--A:N 3.9 Low +3289 ¦ ¦ ¦ ¦--C:L +3290 ¦ ¦ ¦ ¦ ¦--I:H +3291 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +3292 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3293 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3294 ¦ ¦ ¦ ¦ ¦--I:L +3295 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +3296 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +3297 ¦ ¦ ¦ ¦ ¦ °--A:N 2.9 Low +3298 ¦ ¦ ¦ ¦ °--I:N +3299 ¦ ¦ ¦ ¦ ¦--A:H 4.6 Medium +3300 ¦ ¦ ¦ ¦ ¦--A:L 2.9 Low +3301 ¦ ¦ ¦ ¦ °--A:N 1.8 Low +3302 ¦ ¦ ¦ °--C:N +3303 ¦ ¦ ¦ ¦--I:H +3304 ¦ ¦ ¦ ¦ ¦--A:H 5.5 Medium +3305 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +3306 ¦ ¦ ¦ ¦ °--A:N 3.9 Low +3307 ¦ ¦ ¦ ¦--I:L +3308 ¦ ¦ ¦ ¦ ¦--A:H 4.6 Medium +3309 ¦ ¦ ¦ ¦ ¦--A:L 2.9 Low +3310 ¦ ¦ ¦ ¦ °--A:N 1.8 Low +3311 ¦ ¦ ¦ °--I:N +3312 ¦ ¦ ¦ ¦--A:H 3.9 Low +3313 ¦ ¦ ¦ ¦--A:L 1.8 Low +3314 ¦ ¦ ¦ °--A:N 0.0 None +3315 ¦ ¦ °--S:C +3316 ¦ ¦ ¦--C:H +3317 ¦ ¦ ¦ ¦--I:H +3318 ¦ ¦ ¦ ¦ ¦--A:H 7.2 High +3319 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +3320 ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +3321 ¦ ¦ ¦ ¦--I:L +3322 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3323 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3324 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3325 ¦ ¦ ¦ °--I:N +3326 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3327 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3328 ¦ ¦ ¦ °--A:N 4.9 Medium +3329 ¦ ¦ ¦--C:L +3330 ¦ ¦ ¦ ¦--I:H +3331 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3332 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3333 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3334 ¦ ¦ ¦ ¦--I:L +3335 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +3336 ¦ ¦ ¦ ¦ ¦--A:L 4.7 Medium +3337 ¦ ¦ ¦ ¦ °--A:N 3.6 Low +3338 ¦ ¦ ¦ °--I:N +3339 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3340 ¦ ¦ ¦ ¦--A:L 3.6 Low +3341 ¦ ¦ ¦ °--A:N 2.2 Low +3342 ¦ ¦ °--C:N +3343 ¦ ¦ ¦--I:H +3344 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3345 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3346 ¦ ¦ ¦ °--A:N 4.9 Medium +3347 ¦ ¦ ¦--I:L +3348 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3349 ¦ ¦ ¦ ¦--A:L 3.6 Low +3350 ¦ ¦ ¦ °--A:N 2.2 Low +3351 ¦ ¦ °--I:N +3352 ¦ ¦ ¦--A:H 4.9 Medium +3353 ¦ ¦ ¦--A:L 2.2 Low +3354 ¦ ¦ °--A:N 0.0 None +3355 ¦ °--UI:R +3356 ¦ ¦--S:U +3357 ¦ ¦ ¦--C:H +3358 ¦ ¦ ¦ ¦--I:H +3359 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +3360 ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +3361 ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +3362 ¦ ¦ ¦ ¦--I:L +3363 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3364 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3365 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +3366 ¦ ¦ ¦ °--I:N +3367 ¦ ¦ ¦ ¦--A:H 5.4 Medium +3368 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3369 ¦ ¦ ¦ °--A:N 3.9 Low +3370 ¦ ¦ ¦--C:L +3371 ¦ ¦ ¦ ¦--I:H +3372 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3373 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3374 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +3375 ¦ ¦ ¦ ¦--I:L +3376 ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +3377 ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +3378 ¦ ¦ ¦ ¦ °--A:N 2.8 Low +3379 ¦ ¦ ¦ °--I:N +3380 ¦ ¦ ¦ ¦--A:H 4.5 Medium +3381 ¦ ¦ ¦ ¦--A:L 2.8 Low +3382 ¦ ¦ ¦ °--A:N 1.7 Low +3383 ¦ ¦ °--C:N +3384 ¦ ¦ ¦--I:H +3385 ¦ ¦ ¦ ¦--A:H 5.4 Medium +3386 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3387 ¦ ¦ ¦ °--A:N 3.9 Low +3388 ¦ ¦ ¦--I:L +3389 ¦ ¦ ¦ ¦--A:H 4.5 Medium +3390 ¦ ¦ ¦ ¦--A:L 2.8 Low +3391 ¦ ¦ ¦ °--A:N 1.7 Low +3392 ¦ ¦ °--I:N +3393 ¦ ¦ ¦--A:H 3.9 Low +3394 ¦ ¦ ¦--A:L 1.7 Low +3395 ¦ ¦ °--A:N 0.0 None +3396 ¦ °--S:C +3397 ¦ ¦--C:H +3398 ¦ ¦ ¦--I:H +3399 ¦ ¦ ¦ ¦--A:H 7.0 High +3400 ¦ ¦ ¦ ¦--A:L 6.9 Medium +3401 ¦ ¦ ¦ °--A:N 6.7 Medium +3402 ¦ ¦ ¦--I:L +3403 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3404 ¦ ¦ ¦ ¦--A:L 6.2 Medium +3405 ¦ ¦ ¦ °--A:N 5.6 Medium +3406 ¦ ¦ °--I:N +3407 ¦ ¦ ¦--A:H 6.7 Medium +3408 ¦ ¦ ¦--A:L 5.6 Medium +3409 ¦ ¦ °--A:N 4.8 Medium +3410 ¦ ¦--C:L +3411 ¦ ¦ ¦--I:H +3412 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3413 ¦ ¦ ¦ ¦--A:L 6.2 Medium +3414 ¦ ¦ ¦ °--A:N 5.6 Medium +3415 ¦ ¦ ¦--I:L +3416 ¦ ¦ ¦ ¦--A:H 6.2 Medium +3417 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3418 ¦ ¦ ¦ °--A:N 3.4 Low +3419 ¦ ¦ °--I:N +3420 ¦ ¦ ¦--A:H 5.6 Medium +3421 ¦ ¦ ¦--A:L 3.4 Low +3422 ¦ ¦ °--A:N 2.0 Low +3423 ¦ °--C:N +3424 ¦ ¦--I:H +3425 ¦ ¦ ¦--A:H 6.7 Medium +3426 ¦ ¦ ¦--A:L 5.6 Medium +3427 ¦ ¦ °--A:N 4.8 Medium +3428 ¦ ¦--I:L +3429 ¦ ¦ ¦--A:H 5.6 Medium +3430 ¦ ¦ ¦--A:L 3.4 Low +3431 ¦ ¦ °--A:N 2.0 Low +3432 ¦ °--I:N +3433 ¦ ¦--A:H 4.8 Medium +3434 ¦ ¦--A:L 2.0 Low +3435 ¦ °--A:N 0.0 None +3436 °--AC:H +3437 ¦--PR:N +3438 ¦ ¦--UI:N +3439 ¦ ¦ ¦--S:U +3440 ¦ ¦ ¦ ¦--C:H +3441 ¦ ¦ ¦ ¦ ¦--I:H +3442 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.4 Medium +3443 ¦ ¦ ¦ ¦ ¦ ¦--A:L 6.0 Medium +3444 ¦ ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3445 ¦ ¦ ¦ ¦ ¦--I:L +3446 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +3447 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +3448 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +3449 ¦ ¦ ¦ ¦ °--I:N +3450 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3451 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +3452 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +3453 ¦ ¦ ¦ ¦--C:L +3454 ¦ ¦ ¦ ¦ ¦--I:H +3455 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.0 Medium +3456 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.3 Medium +3457 ¦ ¦ ¦ ¦ ¦ °--A:N 4.8 Medium +3458 ¦ ¦ ¦ ¦ ¦--I:L +3459 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.3 Medium +3460 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.9 Low +3461 ¦ ¦ ¦ ¦ ¦ °--A:N 3.1 Low +3462 ¦ ¦ ¦ ¦ °--I:N +3463 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +3464 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +3465 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +3466 ¦ ¦ ¦ °--C:N +3467 ¦ ¦ ¦ ¦--I:H +3468 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3469 ¦ ¦ ¦ ¦ ¦--A:L 4.8 Medium +3470 ¦ ¦ ¦ ¦ °--A:N 4.2 Medium +3471 ¦ ¦ ¦ ¦--I:L +3472 ¦ ¦ ¦ ¦ ¦--A:H 4.8 Medium +3473 ¦ ¦ ¦ ¦ ¦--A:L 3.1 Low +3474 ¦ ¦ ¦ ¦ °--A:N 2.0 Low +3475 ¦ ¦ ¦ °--I:N +3476 ¦ ¦ ¦ ¦--A:H 4.2 Medium +3477 ¦ ¦ ¦ ¦--A:L 2.0 Low +3478 ¦ ¦ ¦ °--A:N 0.0 None +3479 ¦ ¦ °--S:C +3480 ¦ ¦ ¦--C:H +3481 ¦ ¦ ¦ ¦--I:H +3482 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3483 ¦ ¦ ¦ ¦ ¦--A:L 7.1 High +3484 ¦ ¦ ¦ ¦ °--A:N 6.8 Medium +3485 ¦ ¦ ¦ ¦--I:L +3486 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3487 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3488 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3489 ¦ ¦ ¦ °--I:N +3490 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3491 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3492 ¦ ¦ ¦ °--A:N 4.9 Medium +3493 ¦ ¦ ¦--C:L +3494 ¦ ¦ ¦ ¦--I:H +3495 ¦ ¦ ¦ ¦ ¦--A:H 7.1 High +3496 ¦ ¦ ¦ ¦ ¦--A:L 6.3 Medium +3497 ¦ ¦ ¦ ¦ °--A:N 5.7 Medium +3498 ¦ ¦ ¦ ¦--I:L +3499 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +3500 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +3501 ¦ ¦ ¦ ¦ °--A:N 3.6 Low +3502 ¦ ¦ ¦ °--I:N +3503 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3504 ¦ ¦ ¦ ¦--A:L 3.6 Low +3505 ¦ ¦ ¦ °--A:N 2.2 Low +3506 ¦ ¦ °--C:N +3507 ¦ ¦ ¦--I:H +3508 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3509 ¦ ¦ ¦ ¦--A:L 5.7 Medium +3510 ¦ ¦ ¦ °--A:N 4.9 Medium +3511 ¦ ¦ ¦--I:L +3512 ¦ ¦ ¦ ¦--A:H 5.7 Medium +3513 ¦ ¦ ¦ ¦--A:L 3.6 Low +3514 ¦ ¦ ¦ °--A:N 2.2 Low +3515 ¦ ¦ °--I:N +3516 ¦ ¦ ¦--A:H 4.9 Medium +3517 ¦ ¦ ¦--A:L 2.2 Low +3518 ¦ ¦ °--A:N 0.0 None +3519 ¦ °--UI:R +3520 ¦ ¦--S:U +3521 ¦ ¦ ¦--C:H +3522 ¦ ¦ ¦ ¦--I:H +3523 ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +3524 ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +3525 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +3526 ¦ ¦ ¦ ¦--I:L +3527 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3528 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +3529 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3530 ¦ ¦ ¦ °--I:N +3531 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3532 ¦ ¦ ¦ ¦--A:L 4.6 Medium +3533 ¦ ¦ ¦ °--A:N 4.0 Medium +3534 ¦ ¦ ¦--C:L +3535 ¦ ¦ ¦ ¦--I:H +3536 ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3537 ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +3538 ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3539 ¦ ¦ ¦ ¦--I:L +3540 ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +3541 ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +3542 ¦ ¦ ¦ ¦ °--A:N 2.9 Low +3543 ¦ ¦ ¦ °--I:N +3544 ¦ ¦ ¦ ¦--A:H 4.6 Medium +3545 ¦ ¦ ¦ ¦--A:L 2.9 Low +3546 ¦ ¦ ¦ °--A:N 1.8 Low +3547 ¦ ¦ °--C:N +3548 ¦ ¦ ¦--I:H +3549 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3550 ¦ ¦ ¦ ¦--A:L 4.6 Medium +3551 ¦ ¦ ¦ °--A:N 4.0 Medium +3552 ¦ ¦ ¦--I:L +3553 ¦ ¦ ¦ ¦--A:H 4.6 Medium +3554 ¦ ¦ ¦ ¦--A:L 2.9 Low +3555 ¦ ¦ ¦ °--A:N 1.8 Low +3556 ¦ ¦ °--I:N +3557 ¦ ¦ ¦--A:H 4.0 Medium +3558 ¦ ¦ ¦--A:L 1.8 Low +3559 ¦ ¦ °--A:N 0.0 None +3560 ¦ °--S:C +3561 ¦ ¦--C:H +3562 ¦ ¦ ¦--I:H +3563 ¦ ¦ ¦ ¦--A:H 7.0 High +3564 ¦ ¦ ¦ ¦--A:L 6.9 Medium +3565 ¦ ¦ ¦ °--A:N 6.7 Medium +3566 ¦ ¦ ¦--I:L +3567 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3568 ¦ ¦ ¦ ¦--A:L 6.2 Medium +3569 ¦ ¦ ¦ °--A:N 5.6 Medium +3570 ¦ ¦ °--I:N +3571 ¦ ¦ ¦--A:H 6.7 Medium +3572 ¦ ¦ ¦--A:L 5.6 Medium +3573 ¦ ¦ °--A:N 4.8 Medium +3574 ¦ ¦--C:L +3575 ¦ ¦ ¦--I:H +3576 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3577 ¦ ¦ ¦ ¦--A:L 6.2 Medium +3578 ¦ ¦ ¦ °--A:N 5.6 Medium +3579 ¦ ¦ ¦--I:L +3580 ¦ ¦ ¦ ¦--A:H 6.2 Medium +3581 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3582 ¦ ¦ ¦ °--A:N 3.4 Low +3583 ¦ ¦ °--I:N +3584 ¦ ¦ ¦--A:H 5.6 Medium +3585 ¦ ¦ ¦--A:L 3.4 Low +3586 ¦ ¦ °--A:N 2.0 Low +3587 ¦ °--C:N +3588 ¦ ¦--I:H +3589 ¦ ¦ ¦--A:H 6.7 Medium +3590 ¦ ¦ ¦--A:L 5.6 Medium +3591 ¦ ¦ °--A:N 4.8 Medium +3592 ¦ ¦--I:L +3593 ¦ ¦ ¦--A:H 5.6 Medium +3594 ¦ ¦ ¦--A:L 3.4 Low +3595 ¦ ¦ °--A:N 2.0 Low +3596 ¦ °--I:N +3597 ¦ ¦--A:H 4.8 Medium +3598 ¦ ¦--A:L 2.0 Low +3599 ¦ °--A:N 0.0 None +3600 ¦--PR:L +3601 ¦ ¦--UI:N +3602 ¦ ¦ ¦--S:U +3603 ¦ ¦ ¦ ¦--C:H +3604 ¦ ¦ ¦ ¦ ¦--I:H +3605 ¦ ¦ ¦ ¦ ¦ ¦--A:H 6.3 Medium +3606 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.9 Medium +3607 ¦ ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +3608 ¦ ¦ ¦ ¦ ¦--I:L +3609 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3610 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +3611 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3612 ¦ ¦ ¦ ¦ °--I:N +3613 ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +3614 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +3615 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +3616 ¦ ¦ ¦ ¦--C:L +3617 ¦ ¦ ¦ ¦ ¦--I:H +3618 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.9 Medium +3619 ¦ ¦ ¦ ¦ ¦ ¦--A:L 5.1 Medium +3620 ¦ ¦ ¦ ¦ ¦ °--A:N 4.6 Medium +3621 ¦ ¦ ¦ ¦ ¦--I:L +3622 ¦ ¦ ¦ ¦ ¦ ¦--A:H 5.1 Medium +3623 ¦ ¦ ¦ ¦ ¦ ¦--A:L 3.8 Low +3624 ¦ ¦ ¦ ¦ ¦ °--A:N 2.9 Low +3625 ¦ ¦ ¦ ¦ °--I:N +3626 ¦ ¦ ¦ ¦ ¦--A:H 4.6 Medium +3627 ¦ ¦ ¦ ¦ ¦--A:L 2.9 Low +3628 ¦ ¦ ¦ ¦ °--A:N 1.8 Low +3629 ¦ ¦ ¦ °--C:N +3630 ¦ ¦ ¦ ¦--I:H +3631 ¦ ¦ ¦ ¦ ¦--A:H 5.6 Medium +3632 ¦ ¦ ¦ ¦ ¦--A:L 4.6 Medium +3633 ¦ ¦ ¦ ¦ °--A:N 4.0 Medium +3634 ¦ ¦ ¦ ¦--I:L +3635 ¦ ¦ ¦ ¦ ¦--A:H 4.6 Medium +3636 ¦ ¦ ¦ ¦ ¦--A:L 2.9 Low +3637 ¦ ¦ ¦ ¦ °--A:N 1.8 Low +3638 ¦ ¦ ¦ °--I:N +3639 ¦ ¦ ¦ ¦--A:H 4.0 Medium +3640 ¦ ¦ ¦ ¦--A:L 1.8 Low +3641 ¦ ¦ ¦ °--A:N 0.0 None +3642 ¦ ¦ °--S:C +3643 ¦ ¦ ¦--C:H +3644 ¦ ¦ ¦ ¦--I:H +3645 ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +3646 ¦ ¦ ¦ ¦ ¦--A:L 7.0 High +3647 ¦ ¦ ¦ ¦ °--A:N 6.7 Medium +3648 ¦ ¦ ¦ ¦--I:L +3649 ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +3650 ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +3651 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +3652 ¦ ¦ ¦ °--I:N +3653 ¦ ¦ ¦ ¦--A:H 6.7 Medium +3654 ¦ ¦ ¦ ¦--A:L 5.6 Medium +3655 ¦ ¦ ¦ °--A:N 4.8 Medium +3656 ¦ ¦ ¦--C:L +3657 ¦ ¦ ¦ ¦--I:H +3658 ¦ ¦ ¦ ¦ ¦--A:H 7.0 High +3659 ¦ ¦ ¦ ¦ ¦--A:L 6.2 Medium +3660 ¦ ¦ ¦ ¦ °--A:N 5.6 Medium +3661 ¦ ¦ ¦ ¦--I:L +3662 ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3663 ¦ ¦ ¦ ¦ ¦--A:L 4.5 Medium +3664 ¦ ¦ ¦ ¦ °--A:N 3.4 Low +3665 ¦ ¦ ¦ °--I:N +3666 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3667 ¦ ¦ ¦ ¦--A:L 3.4 Low +3668 ¦ ¦ ¦ °--A:N 2.1 Low +3669 ¦ ¦ °--C:N +3670 ¦ ¦ ¦--I:H +3671 ¦ ¦ ¦ ¦--A:H 6.7 Medium +3672 ¦ ¦ ¦ ¦--A:L 5.6 Medium +3673 ¦ ¦ ¦ °--A:N 4.8 Medium +3674 ¦ ¦ ¦--I:L +3675 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3676 ¦ ¦ ¦ ¦--A:L 3.4 Low +3677 ¦ ¦ ¦ °--A:N 2.1 Low +3678 ¦ ¦ °--I:N +3679 ¦ ¦ ¦--A:H 4.8 Medium +3680 ¦ ¦ ¦--A:L 2.1 Low +3681 ¦ ¦ °--A:N 0.0 None +3682 ¦ °--UI:R +3683 ¦ ¦--S:U +3684 ¦ ¦ ¦--C:H +3685 ¦ ¦ ¦ ¦--I:H +3686 ¦ ¦ ¦ ¦ ¦--A:H 6.2 Medium +3687 ¦ ¦ ¦ ¦ ¦--A:L 5.8 Medium +3688 ¦ ¦ ¦ ¦ °--A:N 5.5 Medium +3689 ¦ ¦ ¦ ¦--I:L +3690 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +3691 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3692 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +3693 ¦ ¦ ¦ °--I:N +3694 ¦ ¦ ¦ ¦--A:H 5.5 Medium +3695 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3696 ¦ ¦ ¦ °--A:N 3.9 Low +3697 ¦ ¦ ¦--C:L +3698 ¦ ¦ ¦ ¦--I:H +3699 ¦ ¦ ¦ ¦ ¦--A:H 5.8 Medium +3700 ¦ ¦ ¦ ¦ ¦--A:L 5.0 Medium +3701 ¦ ¦ ¦ ¦ °--A:N 4.5 Medium +3702 ¦ ¦ ¦ ¦--I:L +3703 ¦ ¦ ¦ ¦ ¦--A:H 5.0 Medium +3704 ¦ ¦ ¦ ¦ ¦--A:L 3.7 Low +3705 ¦ ¦ ¦ ¦ °--A:N 2.8 Low +3706 ¦ ¦ ¦ °--I:N +3707 ¦ ¦ ¦ ¦--A:H 4.5 Medium +3708 ¦ ¦ ¦ ¦--A:L 2.8 Low +3709 ¦ ¦ ¦ °--A:N 1.7 Low +3710 ¦ ¦ °--C:N +3711 ¦ ¦ ¦--I:H +3712 ¦ ¦ ¦ ¦--A:H 5.5 Medium +3713 ¦ ¦ ¦ ¦--A:L 4.5 Medium +3714 ¦ ¦ ¦ °--A:N 3.9 Low +3715 ¦ ¦ ¦--I:L +3716 ¦ ¦ ¦ ¦--A:H 4.5 Medium +3717 ¦ ¦ ¦ ¦--A:L 2.8 Low +3718 ¦ ¦ ¦ °--A:N 1.7 Low +3719 ¦ ¦ °--I:N +3720 ¦ ¦ ¦--A:H 3.9 Low +3721 ¦ ¦ ¦--A:L 1.7 Low +3722 ¦ ¦ °--A:N 0.0 None +3723 ¦ °--S:C +3724 ¦ ¦--C:H +3725 ¦ ¦ ¦--I:H +3726 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3727 ¦ ¦ ¦ ¦--A:L 6.8 Medium +3728 ¦ ¦ ¦ °--A:N 6.6 Medium +3729 ¦ ¦ ¦--I:L +3730 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3731 ¦ ¦ ¦ ¦--A:L 6.1 Medium +3732 ¦ ¦ ¦ °--A:N 5.5 Medium +3733 ¦ ¦ °--I:N +3734 ¦ ¦ ¦--A:H 6.6 Medium +3735 ¦ ¦ ¦--A:L 5.5 Medium +3736 ¦ ¦ °--A:N 4.7 Medium +3737 ¦ ¦--C:L +3738 ¦ ¦ ¦--I:H +3739 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3740 ¦ ¦ ¦ ¦--A:L 6.1 Medium +3741 ¦ ¦ ¦ °--A:N 5.5 Medium +3742 ¦ ¦ ¦--I:L +3743 ¦ ¦ ¦ ¦--A:H 6.1 Medium +3744 ¦ ¦ ¦ ¦--A:L 4.4 Medium +3745 ¦ ¦ ¦ °--A:N 3.3 Low +3746 ¦ ¦ °--I:N +3747 ¦ ¦ ¦--A:H 5.5 Medium +3748 ¦ ¦ ¦--A:L 3.3 Low +3749 ¦ ¦ °--A:N 1.9 Low +3750 ¦ °--C:N +3751 ¦ ¦--I:H +3752 ¦ ¦ ¦--A:H 6.6 Medium +3753 ¦ ¦ ¦--A:L 5.5 Medium +3754 ¦ ¦ °--A:N 4.7 Medium +3755 ¦ ¦--I:L +3756 ¦ ¦ ¦--A:H 5.5 Medium +3757 ¦ ¦ ¦--A:L 3.3 Low +3758 ¦ ¦ °--A:N 1.9 Low +3759 ¦ °--I:N +3760 ¦ ¦--A:H 4.7 Medium +3761 ¦ ¦--A:L 1.9 Low +3762 ¦ °--A:N 0.0 None +3763 °--PR:H +3764 ¦--UI:N +3765 ¦ ¦--S:U +3766 ¦ ¦ ¦--C:H +3767 ¦ ¦ ¦ ¦--I:H +3768 ¦ ¦ ¦ ¦ ¦--A:H 6.1 Medium +3769 ¦ ¦ ¦ ¦ ¦--A:L 5.7 Medium +3770 ¦ ¦ ¦ ¦ °--A:N 5.4 Medium +3771 ¦ ¦ ¦ ¦--I:L +3772 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3773 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3774 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +3775 ¦ ¦ ¦ °--I:N +3776 ¦ ¦ ¦ ¦--A:H 5.4 Medium +3777 ¦ ¦ ¦ ¦--A:L 4.4 Medium +3778 ¦ ¦ ¦ °--A:N 3.8 Low +3779 ¦ ¦ ¦--C:L +3780 ¦ ¦ ¦ ¦--I:H +3781 ¦ ¦ ¦ ¦ ¦--A:H 5.7 Medium +3782 ¦ ¦ ¦ ¦ ¦--A:L 4.9 Medium +3783 ¦ ¦ ¦ ¦ °--A:N 4.4 Medium +3784 ¦ ¦ ¦ ¦--I:L +3785 ¦ ¦ ¦ ¦ ¦--A:H 4.9 Medium +3786 ¦ ¦ ¦ ¦ ¦--A:L 3.6 Low +3787 ¦ ¦ ¦ ¦ °--A:N 2.7 Low +3788 ¦ ¦ ¦ °--I:N +3789 ¦ ¦ ¦ ¦--A:H 4.4 Medium +3790 ¦ ¦ ¦ ¦--A:L 2.7 Low +3791 ¦ ¦ ¦ °--A:N 1.6 Low +3792 ¦ ¦ °--C:N +3793 ¦ ¦ ¦--I:H +3794 ¦ ¦ ¦ ¦--A:H 5.4 Medium +3795 ¦ ¦ ¦ ¦--A:L 4.4 Medium +3796 ¦ ¦ ¦ °--A:N 3.8 Low +3797 ¦ ¦ ¦--I:L +3798 ¦ ¦ ¦ ¦--A:H 4.4 Medium +3799 ¦ ¦ ¦ ¦--A:L 2.7 Low +3800 ¦ ¦ ¦ °--A:N 1.6 Low +3801 ¦ ¦ °--I:N +3802 ¦ ¦ ¦--A:H 3.8 Low +3803 ¦ ¦ ¦--A:L 1.6 Low +3804 ¦ ¦ °--A:N 0.0 None +3805 ¦ °--S:C +3806 ¦ ¦--C:H +3807 ¦ ¦ ¦--I:H +3808 ¦ ¦ ¦ ¦--A:H 6.9 Medium +3809 ¦ ¦ ¦ ¦--A:L 6.8 Medium +3810 ¦ ¦ ¦ °--A:N 6.6 Medium +3811 ¦ ¦ ¦--I:L +3812 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3813 ¦ ¦ ¦ ¦--A:L 6.1 Medium +3814 ¦ ¦ ¦ °--A:N 5.5 Medium +3815 ¦ ¦ °--I:N +3816 ¦ ¦ ¦--A:H 6.6 Medium +3817 ¦ ¦ ¦--A:L 5.5 Medium +3818 ¦ ¦ °--A:N 4.7 Medium +3819 ¦ ¦--C:L +3820 ¦ ¦ ¦--I:H +3821 ¦ ¦ ¦ ¦--A:H 6.8 Medium +3822 ¦ ¦ ¦ ¦--A:L 6.1 Medium +3823 ¦ ¦ ¦ °--A:N 5.5 Medium +3824 ¦ ¦ ¦--I:L +3825 ¦ ¦ ¦ ¦--A:H 6.1 Medium +3826 ¦ ¦ ¦ ¦--A:L 4.4 Medium +3827 ¦ ¦ ¦ °--A:N 3.3 Low +3828 ¦ ¦ °--I:N +3829 ¦ ¦ ¦--A:H 5.5 Medium +3830 ¦ ¦ ¦--A:L 3.3 Low +3831 ¦ ¦ °--A:N 1.9 Low +3832 ¦ °--C:N +3833 ¦ ¦--I:H +3834 ¦ ¦ ¦--A:H 6.6 Medium +3835 ¦ ¦ ¦--A:L 5.5 Medium +3836 ¦ ¦ °--A:N 4.7 Medium +3837 ¦ ¦--I:L +3838 ¦ ¦ ¦--A:H 5.5 Medium +3839 ¦ ¦ ¦--A:L 3.3 Low +3840 ¦ ¦ °--A:N 1.9 Low +3841 ¦ °--I:N +3842 ¦ ¦--A:H 4.7 Medium +3843 ¦ ¦--A:L 1.9 Low +3844 ¦ °--A:N 0.0 None +3845 °--UI:R +3846 ¦--S:U +3847 ¦ ¦--C:H +3848 ¦ ¦ ¦--I:H +3849 ¦ ¦ ¦ ¦--A:H 6.0 Medium +3850 ¦ ¦ ¦ ¦--A:L 5.6 Medium +3851 ¦ ¦ ¦ °--A:N 5.3 Medium +3852 ¦ ¦ ¦--I:L +3853 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3854 ¦ ¦ ¦ ¦--A:L 4.9 Medium +3855 ¦ ¦ ¦ °--A:N 4.4 Medium +3856 ¦ ¦ °--I:N +3857 ¦ ¦ ¦--A:H 5.3 Medium +3858 ¦ ¦ ¦--A:L 4.4 Medium +3859 ¦ ¦ °--A:N 3.8 Low +3860 ¦ ¦--C:L +3861 ¦ ¦ ¦--I:H +3862 ¦ ¦ ¦ ¦--A:H 5.6 Medium +3863 ¦ ¦ ¦ ¦--A:L 4.9 Medium +3864 ¦ ¦ ¦ °--A:N 4.4 Medium +3865 ¦ ¦ ¦--I:L +3866 ¦ ¦ ¦ ¦--A:H 4.9 Medium +3867 ¦ ¦ ¦ ¦--A:L 3.5 Low +3868 ¦ ¦ ¦ °--A:N 2.7 Low +3869 ¦ ¦ °--I:N +3870 ¦ ¦ ¦--A:H 4.4 Medium +3871 ¦ ¦ ¦--A:L 2.7 Low +3872 ¦ ¦ °--A:N 1.6 Low +3873 ¦ °--C:N +3874 ¦ ¦--I:H +3875 ¦ ¦ ¦--A:H 5.3 Medium +3876 ¦ ¦ ¦--A:L 4.4 Medium +3877 ¦ ¦ °--A:N 3.8 Low +3878 ¦ ¦--I:L +3879 ¦ ¦ ¦--A:H 4.4 Medium +3880 ¦ ¦ ¦--A:L 2.7 Low +3881 ¦ ¦ °--A:N 1.6 Low +3882 ¦ °--I:N +3883 ¦ ¦--A:H 3.8 Low +3884 ¦ ¦--A:L 1.6 Low +3885 ¦ °--A:N 0.0 None +3886 °--S:C +3887 ¦--C:H +3888 ¦ ¦--I:H +3889 ¦ ¦ ¦--A:H 6.8 Medium +3890 ¦ ¦ ¦--A:L 6.7 Medium +3891 ¦ ¦ °--A:N 6.5 Medium +3892 ¦ ¦--I:L +3893 ¦ ¦ ¦--A:H 6.7 Medium +3894 ¦ ¦ ¦--A:L 6.0 Medium +3895 ¦ ¦ °--A:N 5.4 Medium +3896 ¦ °--I:N +3897 ¦ ¦--A:H 6.5 Medium +3898 ¦ ¦--A:L 5.4 Medium +3899 ¦ °--A:N 4.6 Medium +3900 ¦--C:L +3901 ¦ ¦--I:H +3902 ¦ ¦ ¦--A:H 6.7 Medium +3903 ¦ ¦ ¦--A:L 6.0 Medium +3904 ¦ ¦ °--A:N 5.4 Medium +3905 ¦ ¦--I:L +3906 ¦ ¦ ¦--A:H 6.0 Medium +3907 ¦ ¦ ¦--A:L 4.3 Medium +3908 ¦ ¦ °--A:N 3.2 Low +3909 ¦ °--I:N +3910 ¦ ¦--A:H 5.4 Medium +3911 ¦ ¦--A:L 3.2 Low +3912 ¦ °--A:N 1.8 Low +3913 °--C:N +3914 ¦--I:H +3915 ¦ ¦--A:H 6.5 Medium +3916 ¦ ¦--A:L 5.4 Medium +3917 ¦ °--A:N 4.6 Medium +3918 ¦--I:L +3919 ¦ ¦--A:H 5.4 Medium +3920 ¦ ¦--A:L 3.2 Low +3921 ¦ °--A:N 1.8 Low +3922 °--I:N +3923 ¦--A:H 4.6 Medium +3924 ¦--A:L 1.8 Low +3925 °--A:N 0.0 None From df287eeaddbf2beff939b5f81578c88a62d9a4ca Mon Sep 17 00:00:00 2001 From: Jono Date: Tue, 10 Nov 2020 17:21:45 -0500 Subject: [PATCH 3/4] Started comms guidance; vector string notation rewrite --- doc/version_1/047_treesForVulMgmt_4.md | 56 +++++++++++++++++++++++++- 1 file changed, 55 insertions(+), 1 deletion(-) diff --git a/doc/version_1/047_treesForVulMgmt_4.md b/doc/version_1/047_treesForVulMgmt_4.md index 96045092..2754cf04 100644 --- a/doc/version_1/047_treesForVulMgmt_4.md +++ b/doc/version_1/047_treesForVulMgmt_4.md @@ -64,7 +64,7 @@ The added details also make it harder for the decision process to accurately man This difficulty arises because more variance and complexity there is in the decision increases the possibility of errors in the decision process itself. While there is no hard and fast rule for when a tree is too big, we suggest that if all of your outcomes are associated with more than 15 situations (unique combinations of decision values), you would benefit from asking whether your analysts actually use all the information they would be gathering. -Thus, 60 unique combinations of decision values is the point at which a decision tree with four distinct outcomes is, on average, potentially too big. +Thus, 60 unique combinations of decision values is the point at which a decision tree with four distinct outcomes is, on average, potentially too big. ## Evidence Gathering Guidance @@ -78,6 +78,60 @@ Stakeholders who use the prioritization method should consider releasing the pri In the case where no information is available or the organization has not yet matured its initial situational analysis, we can suggest something like defaults for some decision points. If the deployer does not know their exposure, that means they do not know where the devices are or how they are controlled, so they should assume *Exposure* is **open**. If the decision maker knows nothing about the environment in which the device is used, we suggest assuming a **major** *Safety Impact*. This position is conservative, but software is thoroughly embedded in daily life now, so we suggest that the decision maker provide evidence that no one’s well-being will suffer. The reach of software exploits is no longer limited to a research network. Similarly, with *Mission Impact*, the deployer should assume that the software is in use at the organization for a reason, and that it supports essential functions unless they have evidence otherwise. With a total lack of information, assume **MEF support crippled** as a default. *Exploitation* needs no special default; if adequate searches are made for exploit code and none is found, the answer is **none**. The decision set {**none**, **open**, **MEF crippled**, **major**} results in a scheduled patch application. +## Guidance on Communicating Results + +There are many aspects of SSVC that two parties might want to communicate. +Not every stakeholder will use the decision points to make comparable decisions. +Suppliers and deployers make interdependent decisions, but the actions of one group are not strictly dependent on the other. +Recall that one reason for this is that SSVC is about prioritizing a vulnerability response action in general, not specifically applying a patch that a supplier produced. +Coordinators are particularly interested in facilitating communication because that is their core function. +This section handles three aspects of this challenge: formats for communicating SSVC, how to handle partial or incomplete information, and how to handle information that may change over time. + +This section is about communicating SSVC information about a specific vulnerability. +A supplier making a decision on allocating effort or a deployer should have a decision tree and it's decision points and possible values specified already. +[Representation choices](#representation-choices) discussed how SSVC uses a text file as the canonical form of a decision tree; the example trees can be found in [SSVC/data](https://github.com/CERTCC/SSVC/tree/main/data). +A supplier communicating with constituents or a coordinator may communicate partial information about a specific vulnerability to help other stakeholders. + +We recommend two structured communication formats, abbreviated and full. +The goal of the abbreviated format is to fill a need for providing identifying information about a vulnerability or decision in charts, graphs, and tables. Therefore, the abbreviated format is not designed to stand alone. +The goal of the full format is to capture all the context and details about a decision or work item in a clear and machine-readable way. + +SSVC abbreviated form borrows directly from the CVSS "vector string" notation. +The basic format for SSVC is: +``` +(version)/(decision point):(value)[/decision point:value[/decision point:value[...]]][/time]/ +``` +Where `version` is `SSVCv2`, updated with more options in the future as needed. +The term `decision point` is one or two letters derived from the name of the decision point as follows: + - Start with the decision point name as given in [Likely Decision Points and Relevant Data](#likely-decision-points-and-relevant-data). + - Remove any text in parentheses (and the parentheses themselves). + - Remove the word "Impact" if it's part of the name. + - Create an initialism from remaining title-case words (ignore "of," etc.), taking only the first two words. + - The first letter of the initialism is upper case; if there is a second letter, then it is lower case. + +For example, [*Technical Impact*](#technical-impact) becomes `T` and [*Public Safety Impact*](#public-safety-impact) becomes `Ps`. + +The term `value` is a statement of the value or possible values of the decision point that precedes it and to which it is connected by a `:`. +Similar to `decision point`, `value` should be made up of one or two letters derived from the name of the decision value in the section for its associated decision point. +For example [MEF support crippled](#mission-impact) becomes `Ms` and [efficient](#utility) becomes `E`. +Labels on values do not need to be globally unique, just unique to the associated decision point. + +The character `/` separates decision-point:value pairs. +As many pairs should be provided in the abbreviated form as are required to communicate the desired information about the vulnerability or work item. +The ordering of the pairs should be sorted alphabetically from A to Z by the ASCII characters representing the decision points. +A trailing `/` is used to close the string. + +The optional parameter `time` is the time in seconds since the UNIX epoch that the SSVC information was collected or last checked for freshness and accuracy. + +Based on this, an example string could be: +``` +SSVCv2/Ps:Nm/T:T/U:E/1605040000/ +``` +For a vulnerability with [no or minor](#public-safety-impact) [*Public Safety Impact*](#public-safety-impact), [total](#technical-impact) [*Technical Impact*](#technical-impact), and [efficient](#utility) [*Utility*](#utility), which was evaluated on Nov 10, 2020. + + - TODO if we are going to talk about JSON or other structured data formats for decisions, do so here. + - TODO fix #26 here (partial information) + - TODO fix #29 here (changing information) ## Development Methodology From a08585dab921c67e257c4dd7cf49985bfa5a1b4b Mon Sep 17 00:00:00 2001 From: Jono Date: Wed, 18 Nov 2020 09:27:00 -0500 Subject: [PATCH 4/4] carried thank yous over from WEIS paper to README --- doc/README.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/doc/README.md b/doc/README.md index 0bb8f62b..8c5fc402 100644 --- a/doc/README.md +++ b/doc/README.md @@ -11,3 +11,7 @@ The file `compile.sh` contains the pandoc command line for creating a single HTM The `*how-to` files contain discussion on document composition and style. Please align any commits with the existing how-to guidance. At present (Aug 2020), the how-to guidance is not yet fixed, but it should only change with community discussion. The `pdfs` folder contains static documents of prior versions. + +# Thank you +The authors thank the following people for helpful comments on prior drafts: Michel van Eeten as shepherd and the anonymous WEIS reviewers; attendees at A Conference on Defense (ACoD), Austin TX 2020; Dale Peterson, Ralph Langer, and attendees at S4, Miami FL 2020; Muhammad Akbar and Manish Gaur (VMWare); David Oxley (McAfee). +