Soap call using Suds library. String value is not required so i am not worry about it and siperianObjectUid is working as. The pressure on land for both new developments and in built-up areas is such that reducing the footprint of a SuDS scheme is a major factor in the design and delivery of SuDS. Components that intercept stormwater and slow the flow before it reaches a final attenuation or infiltration point reduce the amount of land required for the scheme. I’ll be using a Python SOAP library called Suds to talk to the Exchange server. There are a few catches, though. EWS doesn’t play nice with Suds, so we need a few patches and other modules to get it working well. Installing Suds. On Mac and Linux, this is trivially easy: run. Sudo pip install suds.

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This web page will no longer be updated. Seethe author's web pagesfor further releases.

RLCSA [4, 3, 7]is a compressed suffix array implementation that has been optimized for highlyrepetitive text collections. Examples of such collections include version control dataand individual genomes. This implementation also serves as a testbed for many techniquesused with compressed suffix arrays.The most up-to-date description of RLCSA can be found in [7].

The current version includes experimental support for:

• LCP information [5]
• Distribution-aware sampling [6, 9]
• Adaptive distribution-aware sampling
• Space-efficient document listing [8]

See README in the package for further information.The implementation is available for download under the MIT / X11 License.

There is also a separate package containing implementations of additional document retrieval algorithms:

• Brute-force document listing and top-k document retrieval.
• New variants of PDL for document listing and top-k document retrieval [10].
• Several variants of Sadakane's algorithm for document listing.

Full experimental results from [10] are also included in the document listing package.

News

• 2014-07-23 This web page will no longer be updated. See the author's web pages for further releases.
• 2014-04-18 An updated version of the document listing package, with a minor bug fix to RLCSA to support it.
• 2014-01-11 A new version of the document listing package, and some new datasets from [10].
• 2014-01-10 A new version with a number of technical changes. Required by January 2014 version of the doclist package.
• 2013-05-21 A separate package with some additional document listing algorithms.
• 2013-05-20 A new version with improved document listing support.
• 2013-04-10 A new version with document listing support.
• 2013-01-21 A new version with parallel sampling.
• 2012-12-07 A new version with various changes accumulated over time.
• 2012-11-05 More test data is now available online.
• 2012-10-12 More test data is now available online.
• 2012-02-14 More space-efficient construction. Option to use a succinct bit vector to mark sampled positions.
• 2011-08-23 A minor update to support the August 2011 version of GCSA.
• 2011-05-17 Support for distribution-aware sampling and an improved low-level interface for external modules.
• 2011-01-17 A new version that supports the interface used in recent GCSA experiments.
• 2010-11-25 Added a list of the data sets used in the experiments.
• 2010-10-13 A new version with libstdc++ parallel mode support and performance improvements.
• 2010-03-29 A new version with some compatibility and interface updates.
• 2010-01-11 A new version with experimental support for LCP information.
• 2009-11-25 A new version of RLCSA is available. This version includes bug fixes, more functionality and a bit cleaner interface.
• 2009-06-15 The implementation of RLCSA is now available.

Suds Library Required Free

Downloads

Current versions

• RLCSA (April 2014)
• Document listing (April 2014)

RLCSA

• April 2014. A minor bug fix version to support the April 2014 version of the document listing package.
• January 2014. This version includes a more consistent interface, faster SA construction for small alphabets, and some additions to the library. Required by January 2014 version of the doclist package.
• May 2013. This version contains a simplified construction program for a single file as well as improved document listing support. Most importantly, the grammar rules in precomputed document listing are no longer run-length encoded if that increases their size.
• April 2013. This version includes preliminary support for document listing using precomputed answers. A modified web graph compressor (Hernández, Navarro; SPIRE 2012) is required for building the document listing structure. The source code for it is available upon request. This version was used for the experiments in [8].
• January 2013. This version includes a multi-threaded sampling algorithm for finding (almost) optimal distribution-aware samples quickly. There is also some undocumented work on document listing with highly repetitive data. This version was used in the experiments in [9].
• December 2012. This version has many technical changes from the earlier versions. This version is required by the December 2012 version of GCSA.
• February 2012. Construction algorithm for partial indexes changed from multiple Larsson-Sadakane algorithms to a parallel prefix-doubling algorithm. Succinct bit vectors can be used instead of gap encoded ones to e.g. mark sampled positions. This version was used in the experiments in [7].
• August 2011. Minor updates to some library functions. This version is required by the August 2011 version of GCSA.
• May 2011. The low-level interface has been improved in this version. Weighted / distribution-aware sampling is now also supported. The test program has also been extended.
• January 2011. This version has a low-level interface compatible with that of GCSA. Also, the default sample rate was changed to more realistic 128, and the test program supports patterns in Pizza&Chili format.
• October 2010. This version supports libstdc++ parallel mode as an alternative to MCSTL. There are also some speed optimizations (an alternative encoding for run-length encoded bit vectors and improved display()).
• March 2010. Fixed some problems when compiling with a new version of g++. RLCSA now uses iterators and const operations to make parallelization easier.
• January 2010. Includes experimental support for LCP information. This version was used in the experiments reported in [5].
• November 2009. A cleaned up version with more functionality.
• June 2009. This version was used in the experiments reported in [3]. There are some bugs that were introduced when cleaning up the code. You should use the November 2009 version instead.

Document listing

• April 2014. A new variant of top-k PDL. Some technical updates and bug fixes. This package was used for the experiments in [10]. The package also includes full experimental results from [10]. Requires April 2014 version of RLCSA.
• January 2014. A major update for the experiments in [10]. Requires January 2014 version of RLCSA.
• May 2013. This is the initial release of the document listing package. The ILCP implementation is a rewrite of the one used in [8]. The package requires May 2013 version of RLCSA.

Data

Suds Library Required Pdf

The following data sets were used in experiments with RLCSA. Some of them are available fromthe Pizza&Chili Corpus (Chile,Italy).

• DBLP archives and queries (available upon request) [6 (description), 9].
• DNA sequences (with synthetic mutations in some cases) [1 (description), 2, 4, 5, 7, 10].
• English language texts [5, 7, 10].
• Finnish language words [10].
• Human reference genome (NCBI build 34) [3].
• Influenza genomes from NIH [8, 10].
• Source code for OpenSSH version 4.7p1 and versions up to that [1, 2, 4].
• Protein sequences [3].
• Another set of protein sequences [10].
• Saccharomyces cerevisiae and Saccharomyces paradoxus genomes from the Wellcome Trust Sanger Institute [2 (description), 4, 7].
• Web queries (available upon request) and pages [6 (description), 9, 10].
• Wikipedia archives: fiwiki, enwiki [3 (description), 5, 7, 8 (description), 10].

Suds Library Required

The full test environment from [10] is also available upon request. Note that setting it up requires much manual work, and some of the implementations use 32-bit libraries.

References

1. Jouni Sirén, Niko Välimäki, Veli Mäkinen, and Gonzalo Navarro: Run-Length Compressed Indexes Are Superior for Highly Repetitive Sequence Collections.
   Proc. SPIRE 2008, Springer LNCS 5280, pp. 164-175, Melbourne, Australia, November 10-12, 2008.
   
2. Veli Mäkinen, Gonzalo Navarro, Jouni Sirén, and Niko Välimäki: Storage and Retrieval of Individual Genomes.
   Proc. RECOMB 2009, Springer LNCS 5541, pp. 121-137, Tucson, Arizona, USA, May 18-21, 2009.
   
   [Article] [Preprint]
3. Jouni Sirén: Compressed Suffix Arrays for Massive Data.
   Proc. SPIRE 2009, Springer LNCS 5721, pp. 63-74, Saariselkä, Finland, August 25-27, 2009.
   
4. Veli Mäkinen, Gonzalo Navarro, Jouni Sirén, and Niko Välimäki: Storage and Retrieval of Highly Repetitive Sequence Collections.
   Journal of Computational Biology 17(3):281-308, 2010.
   
   [Article] [Preprint] Conference versions: [1, 2]
5. Jouni Sirén: Sampled Longest Common Prefix Array.
   Proc. CPM 2010, Springer LNCS 6129, pp. 227-237, New York, USA, June 21-23, 2010.
   
6. Paolo Ferragina, Jouni Sirén, and Rossano Venturini: Distribution-Aware Compressed Full-Text Indexes.
   Proc. ESA 2011, Springer LNCS 6942, pp. 760-771, Saarbrücken, Germany, September 5-7, 2011.
   
   [Article] [Preprint]
7. Jouni Sirén: Compressed Full-Text Indexes for Highly Repetitive Collections (PhD Thesis).
   Department of Computer Science, Series of Publications A, Report A-2012-5, University of Helsinki, June 2012.
8. Travis Gagie, Kalle Karhu, Gonzalo Navarro, Simon J. Puglisi, and Jouni Sirén: Document Listing on Repetitive Collections.
   Proc. CPM 2013, Springer LNCS 7922, pp. 107-119, Bad Herrenalb, Germany, June 17-19, 2013.
   [Article]
9. Paolo Ferragina, Jouni Sirén, and Rossano Venturini: Distribution-aware compressed full-text indexes.
   Algorithmica 67(4):529-546, 2013.
10. Gonzalo Navarro, Simon J. Puglisi, and Jouni Sirén: Document Retrieval on Repetitive Collections.
    Accepted to ESA 2014.
    [Preprint]

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