updated release

Author: amogorkon

META.stay

@@ -3,7 +3,7 @@ name: fuzzylogic
 description: Fuzzy Logic for Python 3
 license: MIT
 url: https://github.com/amogorkon/fuzzylogic
-version: 0.1.1
+version: 0.1.1post1
 author: Anselm Kiefner
 author_email: fuzzylogic-pypi@anselm.kiefner.de
 python_requires: >3.6

src/fuzzylogic.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: fuzzylogic
-Version: 0.1.1
+Version: 0.1.1.post1
 Summary: Fuzzy Logic for Python 3
 Home-page: https://github.com/amogorkon/fuzzylogic
 Author: Anselm Kiefner
@@ -18,16 +18,12 @@ Description: # fuzzy - Fuzzy Logic for Python 3
         ### The Idea
         So, the idea is to have four main parts that work together: domains, sets, functions and rules. You start modelling your system by defining your domain of interest. Then you think about where your interesting points are in that domain and look for a function that might do what you want. In general, fuzzy.functions map any value to [0,1], that's all. Then simply wrap your function in a Set and assign this to the domain in question. Once assigned, you can plot that set and see if it actually looks how you imagined. Now that you have one or more sets, you also can start to combine them with set operations &, |, ~, etc. It's fairly straight forward.
         Finally, use the Rules to map input domain to output domain to actually control stuff.
-        
         ### Warning: Magic
         To make it possible to write fuzzy logic in the most pythonic and simplest way imaginable, it was necessary to employ some magic tricks that normally are discouraged, but at least there's no black magic involved (aka meta-programming etc.), so things are easy to debug if there is a problem. Most notably:
         * all functions are recursive closures (which makes it kinda hard to serialize things, if you really want to do that)
         * Set uses a lot of dunder functions to implement their logic, which can be a bit daunting at first glance
-        * Domain and Set uses an assignment trick to make it possible to instantiate Set() without passing domain and name over and over (yet still be explicit, just not the way one would normally expect). This also allows to call sets as Domain.attributes, which also normally shouldn't be possible (since they are technically not attributes). However, this allows interesting things like dangling sets (sets without domains) that can be freely combined with other sets to avoid cluttering of domain-namespaces and just have the resulting set assigned to a domain to work with. 
-        
-        
-        Check the Showcase notebook for working examples and documentation.
-        
+        * Domain and Set uses an assignment trick to make it possible to instantiate Set() without passing domain and name over and over (yet still be explicit, just not the way one would normally expect). This also allows to call sets as Domain.attributes, which also normally shouldn't be possible (since they are technically not attributes). However, this allows interesting things like dangling sets (sets without domains) that can be freely combined with other sets to avoid cluttering of domain-namespaces and just have the resulting set assigned to a domain to work with.
+        Check the Showcase notebook in docs on https://github.com/amogorkon/fuzzylogic for working examples and documentation.
         Have fun!
         - Anselm Kiefner