Return self in SiteCollection spin/oxi state add/remove methods

pymatgen/analysis/local_env.py

@@ -68,7 +68,7 @@ class ValenceIonicRadiusEvaluator:
     def __init__(self, structure: Structure) -> None:
         """
         Args:
-            structure: pymatgen.core.structure.Structure.
+            structure: pymatgen Structure.
         """
         self._structure = structure.copy()
         self._valences = self._get_valences()

pymatgen/analysis/structure_analyzer.py

@@ -518,8 +518,7 @@ def sulfide_type(structure):
     Returns:
         (str) sulfide/polysulfide or None if structure is a sulfate.
     """
-    structure = structure.copy()
-    structure.remove_oxidation_states()
+    structure = structure.copy().remove_oxidation_states()
     sulphur = Element("S")
     comp = structure.composition
     if comp.is_element or sulphur not in comp:

pymatgen/command_line/gulp_caller.py

@@ -317,7 +317,7 @@ def specie_potential_lines(structure, potential, **kwargs):
         structure.
 
         Args:
-            structure: pymatgen.core.structure.Structure object
+            structure: pymatgen Structure object
             potential: String specifying the type of potential used
             kwargs: Additional parameters related to potential. For
                 potential == "buckingham",
@@ -375,7 +375,7 @@ def buckingham_input(self, structure: Structure, keywords, library=None, uc=True
         from library.
 
         Args:
-            structure: pymatgen.core.structure.Structure
+            structure: pymatgen Structure
             keywords: GULP first line keywords.
             library (Default=None): File containing the species and potential.
             uc (Default=True): Unit Cell Flag.
@@ -401,7 +401,7 @@ def buckingham_potential(structure, val_dict=None):
                J. Mater Chem., 4, 831-837 (1994)
 
         Args:
-            structure: pymatgen.core.structure.Structure
+            structure: pymatgen Structure
             val_dict (Needed if structure is not charge neutral): {El:valence}
                 dict, where El is element.
         """
@@ -462,7 +462,7 @@ def tersoff_input(self, structure: Structure, periodic=False, uc=True, *keywords
         """Gets a GULP input with Tersoff potential for an oxide structure.
 
         Args:
-            structure: pymatgen.core.structure.Structure
+            structure: pymatgen Structure
             periodic (Default=False): Flag denoting whether periodic
                 boundary conditions are used
             library (Default=None): File containing the species and potential.
@@ -487,7 +487,7 @@ def tersoff_potential(structure):
         """Generate the species, Tersoff potential lines for an oxide structure.
 
         Args:
-            structure: pymatgen.core.structure.Structure
+            structure: pymatgen Structure
         """
         bv = BVAnalyzer()
         el = [site.specie.symbol for site in structure]
@@ -702,7 +702,7 @@ def get_energy_tersoff(structure, gulp_cmd="gulp"):
     """Compute the energy of a structure using Tersoff potential.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         gulp_cmd: GULP command if not in standard place
     """
     gio = GulpIO()
@@ -716,7 +716,7 @@ def get_energy_buckingham(structure, gulp_cmd="gulp", keywords=("optimise", "con
     """Compute the energy of a structure using Buckingham potential.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         gulp_cmd: GULP command if not in standard place
         keywords: GULP first line keywords
         valence_dict: {El: valence}. Needed if the structure is not charge
@@ -733,7 +733,7 @@ def get_energy_relax_structure_buckingham(structure, gulp_cmd="gulp", keywords=(
     """Relax a structure and compute the energy using Buckingham potential.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         gulp_cmd: GULP command if not in standard place
         keywords: GULP first line keywords
         valence_dict: {El: valence}. Needed if the structure is not charge

pymatgen/core/interface.py

@@ -19,7 +19,7 @@
 
 class Interface(Structure):
     """This class stores data for defining an interface between two structures.
-    It is a subclass of pymatgen.core.structure.Structure.
+    It is a subclass of pymatgen Structure.
     """
 
     def __init__(

pymatgen/core/structure.py

@@ -578,7 +578,7 @@ def add_oxidation_state_by_site(self, oxidation_states: list[float]) -> None:
                 new_sp[Species(sym, ox)] = occu
             site.species = Composition(new_sp)
 
-    def remove_oxidation_states(self) -> None:
+    def remove_oxidation_states(self) -> SiteCollection:
         """Removes oxidation states from a structure."""
         for site in self:
             new_sp: dict[Element, float] = collections.defaultdict(float)
@@ -587,7 +587,9 @@ def remove_oxidation_states(self) -> None:
                 new_sp[Element(sym)] += occu
             site.species = Composition(new_sp)
 
-    def add_oxidation_state_by_guess(self, **kwargs) -> None:
+        return self
+
+    def add_oxidation_state_by_guess(self, **kwargs) -> SiteCollection:
         """Decorates the structure with oxidation state, guessing
         using Composition.oxi_state_guesses(). If multiple guesses are found
         we take the first one.
@@ -599,7 +601,9 @@ def add_oxidation_state_by_guess(self, **kwargs) -> None:
         oxi_guess = oxi_guess or [{e.symbol: 0 for e in self.composition}]
         self.add_oxidation_state_by_element(oxi_guess[0])
 
-    def add_spin_by_element(self, spins: dict[str, float]) -> None:
+        return self
+
+    def add_spin_by_element(self, spins: dict[str, float]) -> SiteCollection:
         """Add spin states to structure.
 
         Args:
@@ -615,7 +619,9 @@ def add_spin_by_element(self, spins: dict[str, float]) -> None:
                 new_species[species] = occu
             site.species = Composition(new_species)
 
-    def add_spin_by_site(self, spins: Sequence[float]) -> None:
+        return self
+
+    def add_spin_by_site(self, spins: Sequence[float]) -> SiteCollection:
         """Add spin states to structure by site.
 
         Args:
@@ -632,7 +638,9 @@ def add_spin_by_site(self, spins: Sequence[float]) -> None:
                 new_species[Species(sym, oxidation_state=oxi_state, spin=spin)] = occu
             site.species = Composition(new_species)
 
-    def remove_spin(self) -> None:
+        return self
+
+    def remove_spin(self) -> SiteCollection:
         """Remove spin states from structure."""
         for site in self:
             new_sp: dict[Element, float] = collections.defaultdict(float)
@@ -641,6 +649,8 @@ def remove_spin(self) -> None:
                 new_sp[Species(sp.symbol, oxidation_state=oxi_state)] += occu
             site.species = Composition(new_sp)
 
+        return self
+
     def extract_cluster(self, target_sites: list[Site], **kwargs) -> list[Site]:
         """Extracts a cluster of atoms based on bond lengths.
 

pymatgen/ext/cod.py

@@ -52,8 +52,8 @@ def query(self, sql: str) -> str:
         Returns:
             Response from SQL query.
         """
-        r = subprocess.check_output(["mysql", "-u", "cod_reader", "-h", self.url, "-e", sql, "cod"])
-        return r.decode("utf-8")
+        resp = subprocess.check_output(["mysql", "-u", "cod_reader", "-h", self.url, "-e", sql, "cod"])
+        return resp.decode("utf-8")
 
     @requires(which("mysql"), "mysql must be installed to use this query.")
     def get_cod_ids(self, formula):
@@ -84,8 +84,7 @@ def get_structure_by_id(self, cod_id, **kwargs):
 
         Args:
             cod_id (int): COD id.
-            kwargs: All kwargs supported by
-                :func:`pymatgen.core.structure.Structure.from_str`.
+            kwargs: All kwargs supported by Structure.from_str.
 
         Returns:
             A Structure.
@@ -100,8 +99,7 @@ def get_structure_by_formula(self, formula: str, **kwargs) -> list[dict[str, str
 
         Args:
             formula (str): Chemical formula.
-            kwargs: All kwargs supported by
-                :func:`pymatgen.core.structure.Structure.from_str`.
+            kwargs: All kwargs supported by Structure.from_str.
 
         Returns:
             A list of dict of the format [{"structure": Structure, "cod_id": int, "sg": "P n m a"}]

pymatgen/io/ase.py

@@ -183,7 +183,7 @@ def get_structure(atoms: Atoms, cls: type[Structure] = Structure, **cls_kwargs)
             **cls_kwargs: Any additional kwargs to pass to the cls
 
         Returns:
-            Equivalent pymatgen.core.structure.Structure
+            Structure: Equivalent pymatgen Structure
         """
         symbols = atoms.get_chemical_symbols()
         positions = atoms.get_positions()

pymatgen/io/cp2k/utils.py

@@ -120,7 +120,7 @@ def atoi(t):
     return [atoi(c) for c in re.split(r"_(\d+)", text)]
 
 
-def get_unique_site_indices(structure: Structure | Molecule):
+def get_unique_site_indices(struct: Structure | Molecule):
     """
     Get unique site indices for a structure according to site properties. Whatever site-property
     has the most unique values is used for indexing.
@@ -147,31 +147,27 @@ def get_unique_site_indices(structure: Structure | Molecule):
         "aux_basis",
     }
 
-    for site in structure:
+    for site in struct:
         for sp in site.species:
             oxi_states.append(getattr(sp, "oxi_state", 0))
             spins.append(getattr(sp, "_properties", {}).get("spin", 0))
 
-    structure.add_site_property("oxi_state", oxi_states)
-    structure.add_site_property("spin", spins)
-    structure.remove_oxidation_states()
+    struct.add_site_property("oxi_state", oxi_states)
+    struct.add_site_property("spin", spins)
+    struct.remove_oxidation_states()
     items = [
         (
             site.species_string,
-            *[
-                structure.site_properties[k][i]
-                for k in structure.site_properties
-                if k.lower() in parsable_site_properties
-            ],
+            *[struct.site_properties[k][i] for k in struct.site_properties if k.lower() in parsable_site_properties],
         )
-        for i, site in enumerate(structure)
+        for i, site in enumerate(struct)
     ]
     unique_itms = list(set(items))
     _sites: dict[tuple, list] = {u: [] for u in unique_itms}
     for i, itm in enumerate(items):
         _sites[itm].append(i)
     sites = {}
-    nums = {s: 1 for s in structure.symbol_set}
+    nums = {s: 1 for s in struct.symbol_set}
     for s in _sites:
         sites[f"{s[0]}_{nums[s[0]]}"] = _sites[s]
         nums[s[0]] += 1

pymatgen/io/jarvis.py

@@ -22,7 +22,7 @@ def get_atoms(structure):
         Returns JARVIS Atoms object from pymatgen structure.
 
         Args:
-            structure: pymatgen.core.structure.Structure
+            structure: pymatgen Structure
 
         Returns:
             JARVIS Atoms object
@@ -49,7 +49,7 @@ def get_structure(atoms):
             atoms: JARVIS Atoms object
 
         Returns:
-            Equivalent pymatgen.core.structure.Structure
+            Equivalent pymatgen Structure
         """
         return Structure(
             lattice=atoms.lattice_mat, species=atoms.elements, coords=atoms.frac_coords, coords_are_cartesian=False

pymatgen/io/zeopp.py

@@ -219,7 +219,7 @@ def get_voronoi_nodes(structure, rad_dict=None, probe_rad=0.1):
     Calls Zeo++ for Voronoi decomposition.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         rad_dict (optional): Dictionary of radii of elements in structure.
             If not given, Zeo++ default values are used.
             Note: Zeo++ uses atomic radii of elements.
@@ -228,10 +228,9 @@ def get_voronoi_nodes(structure, rad_dict=None, probe_rad=0.1):
             0.1 A
 
     Returns:
-        voronoi nodes as pymatgen.core.structure.Structure within the
-        unit cell defined by the lattice of input structure
-        voronoi face centers as pymatgen.core.structure.Structure within the
-        unit cell defined by the lattice of input structure
+        voronoi nodes as pymatgen Structure within the unit cell defined by the lattice of
+        input structure voronoi face centers as pymatgen Structure within the unit cell
+        defined by the lattice of input structure
     """
     with ScratchDir("."):
         name = "temp_zeo1"
@@ -306,7 +305,7 @@ def get_high_accuracy_voronoi_nodes(structure, rad_dict, probe_rad=0.1):
     Calls Zeo++ for Voronoi decomposition.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         rad_dict (optional): Dictionary of radii of elements in structure.
             If not given, Zeo++ default values are used.
             Note: Zeo++ uses atomic radii of elements.
@@ -315,9 +314,9 @@ def get_high_accuracy_voronoi_nodes(structure, rad_dict, probe_rad=0.1):
             Default is 0.1 A
 
     Returns:
-        voronoi nodes as pymatgen.core.structure.Structure within the
+        voronoi nodes as pymatgen Structure within the
         unit cell defined by the lattice of input structure
-        voronoi face centers as pymatgen.core.structure.Structure within the
+        voronoi face centers as pymatgen Structure within the
         unit cell defined by the lattice of input structure
     """
     with ScratchDir("."):
@@ -368,7 +367,7 @@ def get_free_sphere_params(structure, rad_dict=None, probe_rad=0.1):
     Calls Zeo++ for Voronoi decomposition.
 
     Args:
-        structure: pymatgen.core.structure.Structure
+        structure: pymatgen Structure
         rad_dict (optional): Dictionary of radii of elements in structure.
             If not given, Zeo++ default values are used.
             Note: Zeo++ uses atomic radii of elements.
@@ -377,9 +376,9 @@ def get_free_sphere_params(structure, rad_dict=None, probe_rad=0.1):
             0.1 A
 
     Returns:
-        voronoi nodes as pymatgen.core.structure.Structure within the
+        voronoi nodes as pymatgen Structure within the
         unit cell defined by the lattice of input structure
-        voronoi face centers as pymatgen.core.structure.Structure within the
+        voronoi face centers as pymatgen Structure within the
         unit cell defined by the lattice of input structure
     """
     with ScratchDir("."):

pymatgen/symmetry/analyzer.py

@@ -56,7 +56,7 @@ def _get_symmetry_dataset(cell, symprec, angle_tolerance):
 
 
 class SpacegroupAnalyzer:
-    """Takes a pymatgen.core.structure.Structure object and a symprec.
+    """Takes a pymatgen Structure object and a symprec.
 
     Uses spglib to perform various symmetry finding operations.
     """

pymatgen/transformations/standard_transformations.py

@@ -181,9 +181,7 @@ def apply_transformation(self, structure):
         Returns:
             Non-oxidation state decorated Structure.
         """
-        struct = structure.copy()
-        struct.remove_oxidation_states()
-        return struct
+        return structure.copy().remove_oxidation_states()
 
     @property
     def inverse(self):
@@ -611,25 +609,25 @@ def apply_transformation(self, structure: Structure, return_ranked_list: bool |
         num_atoms = sum(structure.composition.values())
 
         for output in ewald_m.output_lists:
-            s_copy = struct.copy()
+            struct_copy = struct.copy()
             # do deletions afterwards because they screw up the indices of the
             # structure
             del_indices = []
             for manipulation in output[1]:
                 if manipulation[1] is None:
                     del_indices.append(manipulation[0])
                 else:
-                    s_copy[manipulation[0]] = manipulation[1]
-            s_copy.remove_sites(del_indices)
+                    struct_copy[manipulation[0]] = manipulation[1]
+            struct_copy.remove_sites(del_indices)
 
             if self.no_oxi_states:
-                s_copy.remove_oxidation_states()
+                struct_copy.remove_oxidation_states()
 
             self._all_structures.append(
                 {
                     "energy": output[0],
                     "energy_above_minimum": (output[0] - lowest_energy) / num_atoms,
-                    "structure": s_copy.get_sorted_structure(),
+                    "structure": struct_copy.get_sorted_structure(),
                 }
             )
 

tests/analysis/test_local_env.py

@@ -1226,10 +1226,9 @@ def test_weighted_cn_no_oxid(self):
             3.3897, 3.2589, 3.1207, 3.1924, 3.1915, 3.1207, 3.2598, 3.3897,
         ]
         # fmt: on
-        s = self.lifepo4.copy()
-        s.remove_oxidation_states()
-        for idx in range(len(s)):
-            cn_array.append(cnn.get_cn(s, idx, use_weights=True))
+        struct = self.lifepo4.copy().remove_oxidation_states()
+        for idx in range(len(struct)):
+            cn_array.append(cnn.get_cn(struct, idx, use_weights=True))
 
         assert_allclose(expected_array, cn_array, 2)