For MPcules: Molecule Trajectory and graph hashes

.github/PULL_REQUEST_TEMPLATE.md

@@ -24,11 +24,11 @@ Before a pull request can be merged, the following items must be checked:
 - [ ] Tests have been added for any new functionality or bug fixes.
 - [ ] All linting and tests pass.
 
-Note that the CI system will run all the above checks. But it will be much more efficient if you already fix most errors prior to submitting the PR. We highly recommended installing `pre-commit` hooks. Simply Run
+Our CI will run all the above checks but it might be more efficient if you already fix most errors before submitting the PR. We highly recommended installing `pre-commit` hooks. Simply Run
 
 ```sh
 pip install -U pre-commit
 pre-commit install
 ```
 
-in the repo's root directory. Afterwards linters will run before every commit and abort if any issues pop up.
+in the repo's root directory. Once `pre-commit` has installed `git` hooks, our linters will run before every commit and abort if issues pop up.

CHANGES.rst

@@ -686,7 +686,7 @@ v2020.7.16
 
 v2020.7.14
 ----------
-* EwaldSummation is now MSONAble (@lbluque).
+* EwaldSummation is now MSONable (@lbluque).
 * Fix for QChem freq parsing (@samblau)
 * Much improved linting and workflows.
 

docs_rst/change_log.rst

@@ -686,7 +686,7 @@ v2020.7.16
 
 v2020.7.14
 ----------
-* EwaldSummation is now MSONAble (@lbluque).
+* EwaldSummation is now MSONable (@lbluque).
 * Fix for QChem freq parsing (@samblau)
 * Much improved linting and workflows.
 

pymatgen/alchemy/filters.py

@@ -96,7 +96,7 @@ def __repr__(self):
 
     def as_dict(self):
         """
-        Returns: MSONAble dict
+        Returns: MSONable dict
         """
         return {
             "@module": type(self).__module__,

pymatgen/analysis/chemenv/coordination_environments/chemenv_strategies.py

@@ -77,7 +77,7 @@ def __new__(cls, myfloat):
         return flt
 
     def as_dict(self):
-        """MSONAble dict"""
+        """MSONable dict"""
         return {
             "@module": type(self).__module__,
             "@class": type(self).__name__,
@@ -109,7 +109,7 @@ def __new__(cls, myfloat):
         return flt
 
     def as_dict(self):
-        """MSONAble dict"""
+        """MSONable dict"""
         return {
             "@module": type(self).__module__,
             "@class": type(self).__name__,
@@ -1300,7 +1300,7 @@ def __eq__(self, other: object) -> bool:
         return self.aa == other.aa  # type: ignore
 
     def as_dict(self):
-        """MSONAble dict"""
+        """MSONable dict"""
         return {
             "@module": type(self).__module__,
             "@class": type(self).__name__,

pymatgen/analysis/chemenv/utils/graph_utils.py

@@ -296,7 +296,7 @@ def from_edges(cls, edges, edges_are_ordered=True):
 
     def as_dict(self):
         """
-        :return: MSONAble dict
+        :return: MSONable dict
         """
         d = MSONable.as_dict(self)
         # Transforming tuple object to a list to allow BSON and MongoDB

pymatgen/analysis/diffraction/tests/test_xrd.py

@@ -32,7 +32,7 @@ def test_get_pattern(self):
         struct = self.get_structure("CsCl")
         c = XRDCalculator()
         xrd = c.get_pattern(struct, two_theta_range=(0, 90))
-        assert xrd.to_json()  # Test MSONAble property
+        assert xrd.to_json()  # Test MSONable property
         # Check the first two peaks
         assert xrd.x[0] == pytest.approx(21.107738329639844)
         assert xrd.y[0] == pytest.approx(36.483184003748946)

pymatgen/analysis/molecule_matcher.py

@@ -218,7 +218,7 @@ def __init__(self, angle_tolerance=10.0):
     def as_dict(self):
         """
         Returns:
-            MSONAble dict.
+            MSONable dict.
         """
         return {
             "version": __version__,
@@ -710,7 +710,7 @@ def group_molecules(self, mol_list):
     def as_dict(self):
         """
         Returns:
-            MSONAble dict.
+            MSONable dict.
         """
         return {
             "version": __version__,

pymatgen/analysis/structure_prediction/substitution_probability.py

@@ -154,7 +154,7 @@ def cond_prob_list(self, l1, l2):
 
     def as_dict(self):
         """
-        Returns: MSONAble dict
+        Returns: MSONable dict
         """
         return {
             "name": type(self).__name__,

pymatgen/apps/battery/insertion_battery.py

@@ -389,7 +389,7 @@ def from_dict_legacy(cls, d):
 
     def as_dict_legacy(self):
         """
-        Returns: MSONAble dict
+        Returns: MSONable dict
         """
         return {
             "@module": type(self).__module__,

pymatgen/apps/borg/hive.py

@@ -291,7 +291,7 @@ def __str__(self):
 
     def as_dict(self):
         """
-        Returns: MSONAble dict
+        Returns: MSONable dict
         """
         return {
             "init_args": {"inc_structure": self._inc_structure},

pymatgen/core/interface.py

@@ -300,7 +300,7 @@ def __update_c(self, new_c: float) -> None:
 
     def as_dict(self):
         """
-        :return: MSONAble dict
+        :return: MSONable dict
         """
         d = super().as_dict()
         d["in_plane_offset"] = self.in_plane_offset.tolist()

pymatgen/core/operations.py

@@ -427,7 +427,7 @@ def rotoreflection(axis: ArrayLike, angle: float, origin: ArrayLike = (0, 0, 0))
 
     def as_dict(self) -> dict[str, Any]:
         """
-        :return: MSONAble dict.
+        :return: MSONable dict.
         """
         return {
             "@module": type(self).__module__,

pymatgen/core/periodic_table.py

@@ -1510,7 +1510,7 @@ def from_string(species_string: str) -> DummySpecies:
 
     def as_dict(self) -> dict:
         """
-        :return: MSONAble dict representation.
+        :return: MSONable dict representation.
         """
         d = {
             "@module": type(self).__module__,

pymatgen/core/structure.py

@@ -1034,7 +1034,7 @@ def lattice(self) -> Lattice:
     @property
     def density(self) -> float:
         """
-        Returns the density in units of g/cc
+        Returns the density in units of g/cm^3.
         """
         m = Mass(self.composition.weight, "amu")
         return m.to("g") / (self.volume * Length(1, "ang").to("cm") ** 3)

pymatgen/core/surface.py

@@ -495,7 +495,7 @@ def to_s(x):
 
     def as_dict(self):
         """
-        :return: MSONAble dict
+        :return: MSONable dict
         """
         d = super().as_dict()
         d["@module"] = type(self).__module__

pymatgen/core/tensors.py

@@ -686,7 +686,7 @@ def as_dict(self, voigt: bool = False) -> dict:
 
     @classmethod
     def from_dict(cls, d) -> Tensor:
-        """Instantiate Tensors from dicts (using MSONAble API).
+        """Instantiate Tensors from dicts (using MSONable API).
 
         Returns:
             Tensor: hydrated tensor object