creating parent directories on the fly in save

.gitlab-ci.yml

@@ -29,7 +29,7 @@ before_script:
 dist:
   stage: build
   script:
-    - mkdir -p .ache/apt
+    - mkdir -p .cache/apt
     - apt-get update -yqq
     - apt-get install -y gfortran libopenblas-dev liblapack-dev
     - apt-get -o dir::cache::archives=".cache/apt" install -y -qq gfortran liblapack-dev libgmp-dev
@@ -76,8 +76,7 @@ test:
   script:
     - pip --version
     - pip install tox  # you can also use tox
-    - rm -rf .tox
-    - tox --recreate
+    - tox
   coverage: '/^TOTAL.+?(\d+\%)$/'
   artifacts:
     # paths:

tfields/core.py

@@ -81,6 +81,7 @@ class AbstractObject(object):
             )
 
         path = rna.path.resolve(path)
+        rna.path.mkdir(path)
         return save_method(path, **kwargs)
 
     @classmethod
@@ -455,9 +456,7 @@ class AbstractNdarray(np.ndarray, AbstractObject):
         Counterpart to __reduce__. Important for unpickling.
         """
         # Call the parent's __setstate__ with the other tuple elements.
-        super(AbstractNdarray, self).__setstate__(
-            state[0: -len(self._iter_slots())]
-        )
+        super(AbstractNdarray, self).__setstate__(state[0 : -len(self._iter_slots())])
 
         # set the __slot__ attributes
         valid_slot_attrs = list(self._iter_slots())
@@ -1625,7 +1624,9 @@ find-ordered-vector-in-numpy-array
         evalfs = evalfs[idx]
         evecs = evecs[:, idx]
         e = np.concatenate((evecs, evalfs.reshape(1, 3)))
-        return e.T.reshape(12,)
+        return e.T.reshape(
+            12,
+        )
 
     def main_axes(self, weights=None):
         """
@@ -2321,7 +2322,8 @@ class TensorMaps(TensorFields):
             dim_maps = [dim_maps_dict[dimension][i] for i in range(len(objects))]
 
             return_value = TensorFields.merged(
-                *dim_maps, return_templates=return_templates,
+                *dim_maps,
+                return_templates=return_templates,
             )
             if return_templates:
                 mp, dimension_map_templates = return_value