Serialize Lambda Expression
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Open Directory Resource Description Framework RDF content. See Related topics for more information. I performed the benchmarks on a Pentium M 1. GHz Think. Pad T4. GB. of RAM running Ubuntu, using IPythons timeit command. Timings are supplied only for comparison among approaches and should. Python XML library that demonstrates high performance. XPath 1. 0, XSLT 1. It is. built on top of two C libraries libxml. They provide most of the horsepower behind the core. Which parts of lxml you use in your code depends on your needs Are you. XPath Do you prefer to work with Python like objects How much memory do you have on the system to keep large trees available This article does not cover all of lxml but instead demonstrates. XML files, optimizing for. Lynyrd Skynyrd All Time Greatest Hits Zip'>Lynyrd Skynyrd All Time Greatest Hits Zip. Two freely available example documents. U. S. copyright renewal data converted into XML by Google and the. Open Directory RDF content. Element. Tree and not to the dozens of other. Python libraries available. I chose c. Element. Tree because it is a native. Python 2. 5 and, like lxml, built on C libraries. Whats so hard about very large. XML libraries are often designed for and tested on small sample files. Indeed, many real world projects are begun without complete data. Programmers work diligently for weeks or months using sample. Listing. 1. Listing 1. A simple parse. operationfrom lxml import etree. Element. Tree If parsing and simple analysis is all your program needs to do. Element. Tree module, which is bundled as part of Python. It is a C implementation of Element. Tree that uses. expat for parsing and is superior to all other libraries. However, its API is. Element. Tree, and it is slower than lxml in. The lxml parse method reads the entire document and builds an. Relative to c. Element. Tree, an lxml tree is much more. Parsing a 2. G document this way. G RAM into swap, with disastrous. If the whole application is written assuming. Iterative parsing When building an in memory tree is not desired or practical, use an. Supplying a target parser class. Using the iterparse method. Using the target parser method The target parser method is familiar to developers who are comfortable. SAX event driven code. A target parser is a class that implements the. The data. and children of the element are not yet available. All of the. elements child nodes, including text nodes, are now available. Listing 2 demonstrates creating a target parser. Title. Target that implements the required. This parser collects the text children of the Title. Listing 2. A target parser that returns a list of. Title. tagclass Title. Targetobject. def initself. True if tag Title else False. XMLParsertarget Title. Target. This and most other samples read in the Google copyright data. When iterated over, results will contain the output from. Pokemon Black 2 Rom Hack Download there. This code was timed at 5. Target parsing can be reasonably fast and does not generate a. For very large documents, this might not be desirable when only a. Is it possible to. Using the iterparse. Element. Tree. API. Python iterator for the selected. It accepts two useful arguments a tuple of events to. In this case, Im only interested in the text. Title which is available upon reaching. The output from Listing. Listing 2 but ought to be much faster because. Its also many fewer. Listing 3. Simple iteration over a named tag and. Title. for event, elem in context. If you run this code and monitor the output, you see it begins by. A quick check of. PID USER PR NI VIRT RES SHR S CPU MEM TIME COMMAND. D 3. 9 0. 0 0 0. Whats going on Although iterparse does not consume the. When the whole document will be accessed repeatedly, this is a. However, in this case I would much rather reclaim that memory at. This includes both references to children or text. Listing 4 Listing 4. Revised iteration which clears unneeded. Its safe to call clear here because no descendants will be accessed. Also eliminate now empty references from the root node to lt Title. None. del elem. getparent0 For convenience, I refactor Listing 4 into a. Listing 5. Ill. use this method in the succeeding examples. Listing 5. A function to loop through a context. None. del elem. getparent0. Performance characteristics This optimized iterparse approach in Listing 4 produces output thats identical to that produced by. Listing 2, but in half the. It is even faster than c. Element. Tree when the task is restricted to a. In most cases, though. Element. Tree will outperform lxml when parsing is the primary activity. Table 1 shows timings of various parser techniques as. Table 1. Comparisons of iterative parsing. Title XML. library. Method. Average. time, in secondsc. Element. Tree. Iterparse. Target. parser. 54lxml. Optimized. iterparse. Does it scale Running the same iterparse method in Listing 4 on the Open Directory data takes 1. As the Open Directory data is also slightly more than five times as large. Serialization If all you need to do with an XML file is grab some text from within a. XML parser. In practice, though. I do not recommend it. XML libraries are invaluable when true data. Serializing XML to a string or file is where lxml excels because it relies. C code directly. If your task requires any. Use deepcopy when serializing. One effect. of this is that a node in lxml can have one and only one parent. Element. Tree has no concept of parent nodes. Listing 6 takes each lt Record in. Listing 6. Serialize an elements. Output a new tree like. Simpler. Record. Title This titlelt Title. Copyright lt Date datelt Date lt Id idlt Id lt Copyright. Simpler. Record. Create a new root node. ElementSimpler. Record. Create a new child. Sub. Elementr, Title. Set this childs text attribute to the original text contents of lt Title. Title. next. text. Deep copy a descendant tree. Copyright. r. append deepcopyc. Record. Iterate through each of the lt Record nodes using our fast iteration method. For each lt Record, serialize a simplified version and write it. Dont use deepcopy to simply replicate the text of a single. Its faster to create a new node, populate its text attribute. In my tests, calling. Title and. lt Copyright was 1. Listing 6. Youll see the greatest performance. When benchmarked against c. Element. Tree using the code in Listing 7, lxmls serializer was almost twice as. Listing 7. Serializing with.



