Clean up and Bug Fixes

Fixes #38 (closed)

Further changes:

• Third party warnings are suppressed now as they just polluted the warning summary in pystencils.
• Removing the math optimisations as they are not used in pystencils. An Issue is created to reintroduce them again in a clean way in the future
• Removing the joblib workaround as joblib is a hard dependency of pystencils
• Fixing SymPy 1.9 as maximum version
• Removing sympy.multiply_elementwise due to https://github.com/sympy/sympy/issues/22353. A workaround with NumPy is introduced which seems to be way more robust because NumPy has a more static API
• Introducing more extra requires, which are needed to have all features of pystencils
• Minor cleanup of some test cases and the datahandling

pystencils/cache.py

@@ -8,22 +8,15 @@ try:
 except ImportError:
     from backports.functools_lru_cache import lru_cache as memorycache
 
+from joblib import Memory
+from appdirs import user_cache_dir
 
-try:
-    from joblib import Memory
-    from appdirs import user_cache_dir
-    if 'PYSTENCILS_CACHE_DIR' in os.environ:
-        cache_dir = os.environ['PYSTENCILS_CACHE_DIR']
-    else:
-        cache_dir = user_cache_dir('pystencils')
-    disk_cache = Memory(cache_dir, verbose=False).cache
-    disk_cache_no_fallback = disk_cache
-except ImportError:
-    # fallback to in-memory caching if joblib is not available
-    disk_cache = memorycache(maxsize=64)
-
-    def disk_cache_no_fallback(o):
-        return o
+if 'PYSTENCILS_CACHE_DIR' in os.environ:
+    cache_dir = os.environ['PYSTENCILS_CACHE_DIR']
+else:
+    cache_dir = user_cache_dir('pystencils')
+disk_cache = Memory(cache_dir, verbose=False).cache
+disk_cache_no_fallback = disk_cache
 
 
 def _wrapper(wrapped_func, cached_func, *args, **kwargs):
@@ -34,7 +27,6 @@ def _wrapper(wrapped_func, cached_func, *args, **kwargs):
 
 
 def memorycache_if_hashable(maxsize=128, typed=False):
-
     def wrapper(func):
         return partial(_wrapper, func, memorycache(maxsize, typed)(func))