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        "author": "volker.jaenisch@inqbus.de",
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            "Environment :: Plugins",
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            "Natural Language :: English",
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        "description": "README\n======\n\nThis package provides a cython optimized rainflow algorithm. Data can be\nprovided as hdf5-table or as numpy array.\n\nInstallation\n------------\n\nFor installing this package just run the setup.py.\n\nRequirements:\n* numpy\n* tables\n* pandas\n* cython\n* numexpr\n\nOr use the pypi-package and install it via pip.\n\n    pip install inqbus.rainflow\n\nExamples and Usage\n------------------\n\nThere are examples included in\ninqbus.rainflow/src/inqbus/rainflow/examples\n\nThe main mehtods are located and described in\ninqbus.rainflow/src/inqbus/rainflow/run_rainflow\n\n\nHISTORY\n=======\n\n1.5\n---\n\n* Corrected datatypes\n\n1.4\n---\n\n* api parameter to decide between counting from 1 or from 0 for binning the data\n\n1.1 - BugFixes\n--------------\n\n* Corrected classes when calculating binning as table because RFC classes always start counting on 0 .. max_bin, no negative classes anymore\n\n0.9 - BugFixes and Tests\n------------------------\n\n* BugFixes on counting pairs\n* Tests for core functions\n\n0.8 - BugFixes\n--------------\n\n* BugFixes to reduce differences between table and matrix of counted pairs\n\n0.7 - Remove small cycles option\n--------------------------------\n\n* During normal rainflow cycles like 1 to 1 can not exist, but with the classification afterwards small cycles will lead to such pairs. They will be removed now\n\n\n0.6 - Add Axis to matrix\n------------------------\n\n* You can store axis to matrix if you want using parameter axis\n\n0.5 - BugFixes\n--------------\n\n* Fixed Bug on filtering data with pairs\n\n0.4 - Added Matrix-calculation\n-------------------------------\n\n* User can decide between matrix and table format for classification\n* Added examples for both\n* BugFix in count-method\n* Style improvements\n* Filter outliers in binning\n\n0.2 - Syntax Improvement\n------------------------\n\n* Better documentation\n* Improved parameters of functions\n\n0.1 - Initial release\n---------------------\n\n* Rainflow for HDF5 and Numpy-Arrays\n* Classification before and after algorithm\n* Removing peaks from data before calculation\nLICENSE\n=======\n\nCopyright (c) 2012, Continuum Analytics, Inc.\nAll rights reserved.\n\nRedistribution and use in source and binary forms, with or without modification,\nare permitted provided that the following conditions are met:\n\nRedistributions of source code must retain the above copyright notice,\nthis list of conditions and the following disclaimer.\n\nRedistributions in binary form must reproduce the above copyright notice,\nthis list of conditions and the following disclaimer in the documentation\nand/or other materials provided with the distribution.\n\nNeither the name of Continuum Analytics nor the names of any contributors\nmay be used to endorse or promote products derived from this software\nwithout specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE\nARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE\nLIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR\nCONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF\nSUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS\nINTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN\nCONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)\nARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF\nTHE POSSIBILITY OF SUCH DAMAGE.",
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