Get rid of Enums and use a dictionary to define available lossy compressors,...

Get rid of Enums and use a dictionary to define available lossy compressors, methods and their respective ranges and types.

docs/source/quick-start/basic_examples.rst

@@ -5,10 +5,10 @@ Using **lossy compression** with xarray can be as easy as adding a **single line
 
 .. code::
 
-    from enstools.encoding.api import FilterEncodingForXarray
+    from enstools.encoding.api import DatasetEncoding
 
     ...
-    encoding = FilterEncodingForXarray(dataset, "lossy,sz,rel,1.e-4")
+    encoding = DatasetEncoding(dataset, "lossy,sz,rel,1.e-4")
     dataset.to_netcdf(dummy_output_file, encoding=encoding, engine="h5netcdf")
     ...
 
@@ -18,9 +18,9 @@ Save an **xarray** dataset using losslessly compression:
 
 .. code::
 
-    from enstools.encoding.api import FilterEncodingForXarray
+    from enstools.encoding.api import DatasetEncoding
     ...
-    encoding = FilterEncodingForXarray(dataset, "lossless")
+    encoding = DatasetEncoding(dataset, "lossless")
     dataset.to_netcdf(dummy_output_file, encoding=encoding, engine="h5netcdf")
 
 
@@ -40,11 +40,11 @@ If we want to directly use **h5py** we can do the following:
 
 .. code::
 
-    from enstools.encoding.api import FilterEncodingForH5py
+    from enstools.encoding.api import VariableEncoding
 
     ...
 
-    encoding = FilterEncodingForH5py.from_string("lossless")
+    encoding = VariableEncoding("lossless")
     f = h5py.File('test.h5', 'w')
     f.create_dataset('lossless_compression_using_blosc',
                      data=numpy.arange(100),
@@ -56,11 +56,11 @@ Or without using specification strings:
 
 .. code::
 
-    from enstools.encoding.api import FilterEncodingForH5py, Compressors, CompressionModes
+    from enstools.encoding.api import VariableEncoding
 
     ...
 
-    encoding = FilterEncodingForH5py(Compressors.ZFP, CompressionModes.RATE, 4.0)
+    encoding = VariableEncoding(compressor="zfp", mode="rate",parameter="4.0")
 
     f = h5py.File('test.h5', 'w')
     f.create_dataset('lossy_compression_with_zfp_rate_4.0',