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libktoblzcheck1 - library to check German account numbers and bank codes…  more info»

README

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
<daniel-gl@gmx.net>) 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 <fabian@openhbci.de>. The
current maintainer is Christian Stimming <stimming@tuhh.de>.  

For contacting the authors, please write to the mailing list
<openhbci-general@sourceforge.net>. 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<>.
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