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fh = None try: fh = open(filename, "w", encoding="utf8") treewritexml(fh, encoding="UTF-8") return True

We have omitted the except and finally blocks since they are the same as ones we have already seen What this piece of code makes clear is the difference between the encoding string used for the built-in open() function and the encoding string used for XML les, as we discussed earlier Importing an XML document into a DOM is similar to importing into an element tree, but like exporting, it requires more code We will look at the im-

51 INTRODUCTION 52 FORCES 53 CHOOSING THE PATTERNS 54 THE SPMD PATTERN 55 THE MASTER/WORKER PATTERN 56 THE LOOP P ARALLELISM P ATTERN 57 THE FORK/JOIN PATTERN 58 THE SHARED DATA PATTERN 59 THE SHARED QUEUE PATTERN 510 THE DISTRIBUTED ARRAY PATTERN 511 OTHER SUPPORTING STRUCTURES

port_xml_dom() function in three parts, starting with the def line and the nested get_text() function def import_xml_dom(self, filename): def get_text(node_list): text = [] for node in node_list: if nodenodeType == nodeTEXT_NODE: textappend(nodedata) return ""join(text)strip()

The get_text() function iterates over a list of nodes (eg, a node s child nodes), and for each one that is a text node, it extracts the node s text and appends it to a list of texts At the end the function returns all the text it has gathered as a single string, with whitespace stripped from both ends

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try: dom = xmldomminidomparse(filename) except (EnvironmentError, xmlparsersexpatExpatError) as err: print("{0}: import error: {1}"format( ospathbasename(sysargv[0]), err)) return False

The Finding Concurrency and Algorithm Structure design spaces focus on algorithm expression At some point, however, algorithms must be translated into programs The patterns in the Supporting Structures design space address that phase of the parallel program design process, representing an intermediate stage between the problem oriented patterns of the Algorithm Structure design space and the specific programming mechanisms described in the Implementation Mechanisms design space We call these patterns Supporting Structures because they describe software constructions or "structures" that support the expression of parallel algorithms An overview of this design space and its place in the pattern language is shown in Fig 51

Parsing an XML le into a DOM is easy since the module does all the hard work for us, but we must be ready to handle expat errors since just like an element tree, the expat XML parser is the default parser used by the DOM classes under the hood

selfclear() for element in domgetElementsByTagName("incident"): try: data = {} for attribute in ("report_id", "date", "aircraft_id", "aircraft_type", "pilot_percent_hours_on_type", "pilot_total_hours", "midair"): data[attribute] = elementgetAttribute(attribute) data["date"] = datetimedatetimestrptime( data["date"], "%Y-%m-%d")date() data["pilot_percent_hours_on_type"] = ( float(data["pilot_percent_hours_on_type"])) data["pilot_total_hours"] = int( data["pilot_total_hours"]) data["midair"] = bool(int(data["midair"])) airport = elementgetElementsByTagName("airport")[0]

The two groups of patterns in this space are those that represent program structuring approaches and those that represent commonly used shared data structures These patterns are briefly described in the next section In some programming environments, some of these patterns are so well supported that there is little work for the programmer We nevertheless document them as patterns for two reasons: First, understanding the low level details behind these structures is important for effectively using them Second, describing these structures as patterns provides guidance for programmers who might need to implement them from scratch The final section of this chapter describes structures that were not deemed important enough, for various reasons, to warrant a dedicated pattern, but which deserve mention for completeness 511 Program Structuring Patterns Patterns in this first group describe approaches for structuring source code These patterns include the following

data["airport"] = get_text(airportchildNodes) narrative = elementgetElementsByTagName( "narrative")[0] data["narrative"] = get_text(narrativechildNodes) incident = Incident(**data) self[incidentreport_id] = incident except (ValueError, LookupError, IncidentError) as err: print("{0}: import error: {1}"format( ospathbasename(sysargv[0]), err)) return False return True

entity that represents the attributes that are specific to any product We then have a relationship between Products and Product Attributes that is a one-to-zero-or-more relationship (because a product doesn t necessarily have one of these custom attributes)

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