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libktoblzcheck-bin - command line tool to check German account numbers and bank codes… more info»
KtoBLZCheck is a library to check account numbers and bank codes of German banks. Introduction ------------ Both a library for other programs as well as a short command-line tool is available. It is possible to check pairs of account numbers and bank codes (BLZ) of German banks, and to map bank codes (BLZ) to the clear-text name and location of the bank. For compile instructions concerning MS Windows, please see the file README.WIN32. Compile & Install ----------------- How to compile: If you got this package from CVS, then type "./autogen.sh" to create the necessary build tools. Then: Type ./configure to calculate some system dependencies. See "./configure --help" for possible options. Usually you might want to write something like "./configure --prefix=/your/prefix --with-bankdata-path=/your/favorite/directory", which installs KtoBLZCheck under the given prefix and its bank data file at the specified path. The default bank data path is $prefix/share/ktoblzcheck where the default for $prefix is /usr/local. Now type make make install and you're done. Running ------- And then give it a try: "ktoblzcheck <your-bank-id> <your-account-id>" FIXME: need some example BLZ/account ids here. Bank List Format ---------------- A file with all bank codes (BLZ Datei) can regularly be retrieved from the Deutsche Bundesbank at bundesbank.de, more specifically from http://www.bundesbank.de/zahlungsverkehr/zahlungsverkehr_bankleitzahlen_download.php The bankdata.txt file used by ktoblzcheck contains less information than the file provided by the Bundesbank. Namely, it contains only four tab-delimited columns and only those lines that refer to the main institutes instead of all branches. The provided sed script src/bankdata/bundesbank.sed (provided by Daniel Gloeckner <firstname.lastname@example.org>) will automatically convert the Bundesbank's ascii file into the required ktoblzcheck format. If you got the Bundesbank BLZ file in excel format, the four columns for bankdata.txt are A, O, G, J, in that order, and it has only those lines which have a '1' in column B. Authors ------- The original author was Fabian Kaiser <email@example.com>. The current maintainer is Christian Stimming <firstname.lastname@example.org>. For contacting the authors, please write to the mailing list <email@example.com>. This list is subscriber-only which means you need to subscribe if you want to post to the list. Subscription information can be found on http://lists.sourceforge.net/lists/listinfo/openhbci-general PS: Benchmark Notes ------------------- Some benchmark notes: Each time tried 10000 BLZs with random first 2 digits so that 66% of the banks are found, see src/bin/benchmark.cc. All results in seconds on my 1.3 GHz Duron, compiled with no optimization. Time check simply by calling "time ./benchmark 10000". With list<Record*> and manual finding with for(...) loop: 5.3s With list<Record*> and find_if() from <algorithm>: 4.2s With vector<Record*> and find_if(): 1.6s (the above at a later test: 3.5s) With hash_map<...> and hash_map::find: 0.2s (!!) Gee. This is kind of obvious :-) Actually, some time later I tested 100000 BLZs between std::map<> and __gnu_cxx::hash_map. Results: __gnu_cxx::hash_hash<...>: 0.89s std::map<...>: 0.91s Well, it seems that stdc++'s implementation of std::map probably uses a hash map internally. That, and together with the thought that a header file dependency on a configuration variable is probably a bad idea, lead to the decision to throw out <ext/hash_map> completely and only use std::map<>.