Drop Python 3.9 support

.github/workflows/test.yml

@@ -27,19 +27,19 @@ jobs:
       matrix:
         # maximize CI coverage of different platforms and python versions while minimizing the
         # total number of jobs. We run all pytest splits with the oldest supported python
-        # version (currently 3.9) on windows (seems most likely to surface errors) and with
+        # version (currently 3.10) on windows (seems most likely to surface errors) and with
         # newest version (currently 3.12) on ubuntu (to get complete coverage on unix).
         config:
           - os: windows-latest
-            python: "3.9"
+            python: "3.10"
             resolution: highest
             extras: ci,optional
           - os: ubuntu-latest
-            python: ">3.9"
+            python: ">3.10"
             resolution: lowest-direct
             extras: ci,optional
           - os: macos-latest
-            python: "3.10"
+            python: "3.11"
             resolution: lowest-direct
             extras: ci # test with only required dependencies installed
 

dev_scripts/update_pt_data.py

@@ -218,7 +218,9 @@ def gen_iupac_ordering():
     ]  # At -> F
 
     order = sum((list(product(x, y)) for x, y in order), [])  # noqa: RUF017
-    iupac_ordering_dict = dict(zip([Element.from_row_and_group(row, group) for group, row in order], range(len(order))))
+    iupac_ordering_dict = dict(
+        zip([Element.from_row_and_group(row, group) for group, row in order], range(len(order)), strict=False)
+    )
 
     # first clean periodic table of any IUPAC ordering
     for el in periodic_table:

pyproject.toml

@@ -3,7 +3,7 @@ requires = [
     "Cython>=0.29.23",
     # Building against NPY2 will support both NPY1 and NPY2
     # https://numpy.org/devdocs/dev/depending_on_numpy.html#build-time-dependency
-    "numpy>=2.0.1",
+    "numpy>=2.1.0",
     "setuptools>=65.0.0",
 ]
 build-backend = "setuptools.build_meta"
@@ -22,7 +22,7 @@ Python Materials Genomics is a robust materials analysis code that defines core
 and molecules with support for many electronic structure codes. It is currently the core analysis code powering the
 Materials Project (https://materialsproject.org)."""
 readme = "README.md"
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 keywords = [
     "ABINIT",
     "VASP",
@@ -49,7 +49,6 @@ classifiers = [
     "Programming Language :: Python :: 3.10",
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
-    "Programming Language :: Python :: 3.9",
     "Topic :: Scientific/Engineering :: Chemistry",
     "Topic :: Scientific/Engineering :: Information Analysis",
     "Topic :: Scientific/Engineering :: Physics",
@@ -106,8 +105,7 @@ optional = [
     "h5py>=3.11.0",
     "jarvis-tools>=2020.7.14",
     "matgl>=1.1.1",
-    # TODO: track https://github.com/matplotlib/matplotlib/issues/28551
-    "matplotlib>=3.8,!=3.9.1",
+    "matplotlib>=3.8",
     "netCDF4>=1.6.5",
     "phonopy>=2.23",
     "seekpath>=2.0.1",
@@ -172,7 +170,7 @@ before-all = "ln -s /usr/lib64/libgfortran.so.5 /usr/lib64/libgfortran.so.3"
 repair-wheel-command = "delocate-wheel --require-archs {delocate_archs} -w {dest_dir} -v {wheel} --ignore-missing-dependencies"
 
 [tool.ruff]
-target-version = "py39"
+target-version = "py310"
 line-length = 120
 output-format = "concise"
 

src/pymatgen/alchemy/filters.py

@@ -177,7 +177,7 @@ def __init__(self, structure_matcher: dict | StructureMatcher | None = None, sym
         """
         self.symprec = symprec
         self.structure_list: dict[str, list[Structure]] = defaultdict(list)
-        if not isinstance(structure_matcher, (dict, StructureMatcher, type(None))):
+        if not isinstance(structure_matcher, dict | StructureMatcher | type(None)):
             raise TypeError(f"{structure_matcher=} must be a dict, StructureMatcher or None")
         if isinstance(structure_matcher, dict):
             self.structure_matcher = StructureMatcher.from_dict(structure_matcher)

src/pymatgen/alchemy/transmuters.py

@@ -18,8 +18,7 @@
 from pymatgen.io.vasp.sets import MPRelaxSet, VaspInputSet
 
 if TYPE_CHECKING:
-    from collections.abc import Sequence
-    from typing import Callable
+    from collections.abc import Callable, Sequence
 
     from typing_extensions import Self
 

src/pymatgen/analysis/adsorption.py

@@ -178,7 +178,7 @@ def find_surface_sites_by_height(self, slab: Slab, height=0.9, xy_tol=0.05):
         surf_sites = [slab.sites[n] for n in np.where(mask)[0]]
         if xy_tol:
             # sort surface sites by height
-            surf_sites = [s for (h, s) in zip(m_projs[mask], surf_sites)]
+            surf_sites = [s for (h, s) in zip(m_projs[mask], surf_sites, strict=False)]
             surf_sites.reverse()
             unique_sites: list = []
             unique_perp_fracs: list = []
@@ -268,7 +268,7 @@ def find_adsorption_sites(
             for v in dt.simplices:
                 if -1 not in v:
                     dots = []
-                    for i_corner, i_opp in zip(range(3), ((1, 2), (0, 2), (0, 1))):
+                    for i_corner, i_opp in zip(range(3), ((1, 2), (0, 2), (0, 1)), strict=False):
                         corner, opp = v[i_corner], [v[o] for o in i_opp]
                         vecs = [mesh[d].coords - mesh[corner].coords for d in opp]
                         vecs = [vec / np.linalg.norm(vec) for vec in vecs]
@@ -701,7 +701,7 @@ def plot_slab(
         ads_sites = asf.find_adsorption_sites()["all"]
         symm_op = get_rot(orig_slab)
         ads_sites = [symm_op.operate(ads_site)[:2].tolist() for ads_site in ads_sites]
-        ax.plot(*zip(*ads_sites), color="k", marker="x", markersize=10, mew=1, linestyle="", zorder=10000)
+        ax.plot(*zip(*ads_sites, strict=False), color="k", marker="x", markersize=10, mew=1, linestyle="", zorder=10000)
     # Draw unit cell
     if draw_unit_cell:
         vertices = np.insert(vertices, 1, lattice_sum, axis=0).tolist()

src/pymatgen/analysis/bond_valence.py

@@ -403,7 +403,7 @@ def _recurse(assigned=None):
         if self._best_vset:
             if structure.is_ordered:
                 assigned = {}
-                for val, sites in zip(self._best_vset, equi_sites):
+                for val, sites in zip(self._best_vset, equi_sites, strict=False):
                     for site in sites:
                         assigned[site] = val
 
@@ -414,7 +414,7 @@ def _recurse(assigned=None):
                 new_best_vset.append([])
             for ival, val in enumerate(self._best_vset):
                 new_best_vset[attrib[ival]].append(val)
-            for val, sites in zip(new_best_vset, equi_sites):
+            for val, sites in zip(new_best_vset, equi_sites, strict=False):
                 for site in sites:
                     assigned[site] = val
 

src/pymatgen/analysis/chemenv/utils/coordination_geometry_utils.py

@@ -14,7 +14,7 @@
 from pymatgen.analysis.chemenv.utils.chemenv_errors import SolidAngleError
 
 if TYPE_CHECKING:
-    from typing import Callable
+    from collections.abc import Callable
 
     from numpy.typing import ArrayLike
     from typing_extensions import Self

src/pymatgen/analysis/chemenv/utils/graph_utils.py

@@ -157,7 +157,7 @@ def __init__(self, nodes, validate=True, ordered=None):
     def _is_valid(self, check_strict_ordering=False):
         """Check if a SimpleGraphCycle is valid.
 
-        This method checks :
+        This method checks:
         - that there are no duplicate nodes,
         - that there are either 1 or more than 2 nodes
 
@@ -180,7 +180,7 @@ def _is_valid(self, check_strict_ordering=False):
                 if "'<' not supported between instances of" in msg:
                     return False, "The nodes are not sortable."
                 raise
-            res = all(i < j for i, j in zip(sorted_nodes, sorted_nodes[1:]))
+            res = all(i < j for i, j in zip(sorted_nodes, sorted_nodes[1:], strict=False))
             if not res:
                 return False, "The list of nodes in the cycle cannot be strictly ordered."
         return True, ""
@@ -266,7 +266,10 @@ def from_edges(cls, edges, edges_are_ordered: bool = True) -> Self:
         """
         if edges_are_ordered:
             nodes = [edge[0] for edge in edges]
-            if not all(e1e2[0][1] == e1e2[1][0] for e1e2 in zip(edges, edges[1:])) or edges[-1][1] != edges[0][0]:
+            if (
+                not all(e1e2[0][1] == e1e2[1][0] for e1e2 in zip(edges, edges[1:], strict=False))
+                or edges[-1][1] != edges[0][0]
+            ):
                 raise ValueError("Could not construct a cycle from edges.")
         else:
             remaining_edges = list(edges)
@@ -368,7 +371,7 @@ def _is_valid(self, check_strict_ordering=False):
                 if "'<' not supported between instances of" in msg:
                     return False, "The nodes are not sortable."
                 raise
-            is_ordered = all(node1 < node2 for node1, node2 in zip(sorted_nodes, sorted_nodes[1:]))
+            is_ordered = all(node1 < node2 for node1, node2 in zip(sorted_nodes, sorted_nodes[1:], strict=False))
             if not is_ordered:
                 return False, "The list of nodes in the cycle cannot be strictly ordered."
         return True, ""

src/pymatgen/analysis/chempot_diagram.py

@@ -213,7 +213,7 @@ def _get_domains(self) -> dict[str, np.ndarray]:
 
         domains: dict[str, list] = {entry.reduced_formula: [] for entry in entries}
 
-        for intersection, facet in zip(hs_int.intersections, hs_int.dual_facets):
+        for intersection, facet in zip(hs_int.intersections, hs_int.dual_facets, strict=False):
             for v in facet:
                 if v < len(entries):
                     this_entry = entries[v]
@@ -578,7 +578,7 @@ def get_chempot_axis_title(element) -> str:
             return f"<br> μ<sub>{element}</sub> - μ<sub>{element}</sub><sup>o</sup> (eV)"
 
         axes_layout = {}
-        for ax, el in zip(axes, elements):
+        for ax, el in zip(axes, elements, strict=False):
             layout = plotly_layouts[layout_name].copy()
             layout["title"] = get_chempot_axis_title(el)
             axes_layout[ax] = layout

src/pymatgen/analysis/diffraction/core.py

@@ -105,7 +105,7 @@ def get_plot(
         xrd = self.get_pattern(structure, two_theta_range=two_theta_range)
         imax = max(xrd.y)
 
-        for two_theta, i, hkls in zip(xrd.x, xrd.y, xrd.hkls):
+        for two_theta, i, hkls in zip(xrd.x, xrd.y, xrd.hkls, strict=False):
             if two_theta_range[0] <= two_theta <= two_theta_range[1]:
                 hkl_tuples = [hkl["hkl"] for hkl in hkls]
                 label = ", ".join(map(str, hkl_tuples))  # 'full' label
@@ -188,7 +188,7 @@ def plot_structures(self, structures, fontsize=6, **kwargs):
         n_rows = len(structures)
         fig, axes = plt.subplots(nrows=n_rows, ncols=1, sharex=True, squeeze=False)
 
-        for i, (ax, structure) in enumerate(zip(axes.ravel(), structures)):
+        for i, (ax, structure) in enumerate(zip(axes.ravel(), structures, strict=False)):
             self.get_plot(structure, fontsize=fontsize, ax=ax, with_labels=i == n_rows - 1, **kwargs)
             spg_symbol, spg_number = structure.get_space_group_info()
             ax.set_title(f"{structure.formula} {spg_symbol} ({spg_number}) ")

src/pymatgen/analysis/diffraction/tem.py

@@ -139,7 +139,7 @@ def get_interplanar_spacings(
         if (0, 0, 0) in points_filtered:
             points_filtered.remove((0, 0, 0))
         interplanar_spacings_val = np.array([structure.lattice.d_hkl(x) for x in points_filtered])
-        return dict(zip(points_filtered, interplanar_spacings_val))
+        return dict(zip(points_filtered, interplanar_spacings_val, strict=False))
 
     def bragg_angles(self, interplanar_spacings: dict[Tuple3Ints, float]) -> dict[Tuple3Ints, float]:
         """Get the Bragg angles for every hkl point passed in (where n = 1).
@@ -153,7 +153,7 @@ def bragg_angles(self, interplanar_spacings: dict[Tuple3Ints, float]) -> dict[Tu
         plane = list(interplanar_spacings)
         interplanar_spacings_val = np.array(list(interplanar_spacings.values()))
         bragg_angles_val = np.arcsin(self.wavelength_rel() / (2 * interplanar_spacings_val))
-        return dict(zip(plane, bragg_angles_val))
+        return dict(zip(plane, bragg_angles_val, strict=False))
 
     def get_s2(self, bragg_angles: dict[Tuple3Ints, float]) -> dict[Tuple3Ints, float]:
         """
@@ -169,7 +169,7 @@ def get_s2(self, bragg_angles: dict[Tuple3Ints, float]) -> dict[Tuple3Ints, floa
         plane = list(bragg_angles)
         bragg_angles_val = np.array(list(bragg_angles.values()))
         s2_val = (np.sin(bragg_angles_val) / self.wavelength_rel()) ** 2
-        return dict(zip(plane, s2_val))
+        return dict(zip(plane, s2_val, strict=False))
 
     def x_ray_factors(
         self, structure: Structure, bragg_angles: dict[Tuple3Ints, float]
@@ -269,7 +269,7 @@ def cell_intensity(self, structure: Structure, bragg_angles: dict[Tuple3Ints, fl
         csf = self.cell_scattering_factors(structure, bragg_angles)
         csf_val = np.array(list(csf.values()))
         cell_intensity_val = (csf_val * csf_val.conjugate()).real
-        return dict(zip(bragg_angles, cell_intensity_val))
+        return dict(zip(bragg_angles, cell_intensity_val, strict=False))
 
     def get_pattern(
         self,

src/pymatgen/analysis/diffraction/xrd.py

@@ -114,7 +114,7 @@ def __init__(self, wavelength="CuKa", symprec: float = 0, debye_waller_factors=N
                 specification of Debye-Waller factors. Note that these
                 factors are temperature dependent.
         """
-        if isinstance(wavelength, (float, int)):
+        if isinstance(wavelength, float | int):
             self.wavelength = wavelength
         elif isinstance(wavelength, str):
             self.radiation = wavelength

src/pymatgen/analysis/elasticity/elastic.py

@@ -619,7 +619,7 @@ def get_tgt(self, temperature: float | None = None, structure: Structure = None,
         points = quad["points"]
         weights = quad["weights"]
         num, denom, c = np.zeros((3, 3)), 0, 1
-        for p, w in zip(points, weights):
+        for p, w in zip(points, weights, strict=False):
             gk = ElasticTensor(self[0]).green_kristoffel(p)
             _rho_wsquareds, us = np.linalg.eigh(gk)
             us = [u / np.linalg.norm(u) for u in np.transpose(us)]
@@ -882,7 +882,7 @@ def diff_fit(strains, stresses, eq_stress=None, order=2, tol: float = 1e-10):
     for _ord in range(1, order):
         cvec, carr = get_symbol_list(_ord + 1)
         svec = np.ravel(dei_dsi[_ord - 1].T)
-        cmap = dict(zip(cvec, np.dot(m[_ord - 1], svec)))
+        cmap = dict(zip(cvec, np.dot(m[_ord - 1], svec), strict=False))
         c_list.append(v_subs(carr, cmap))
     return [Tensor.from_voigt(c) for c in c_list]
 

src/pymatgen/analysis/elasticity/strain.py

@@ -60,7 +60,7 @@ def get_perturbed_indices(self, tol: float = 1e-8):
         """Get indices of perturbed elements of the deformation gradient,
         i. e. those that differ from the identity.
         """
-        return list(zip(*np.where(abs(self - np.eye(3)) > tol)))
+        return list(zip(*np.where(abs(self - np.eye(3)) > tol), strict=False))
 
     @property
     def green_lagrange_strain(self):

src/pymatgen/analysis/eos.py

@@ -431,7 +431,7 @@ def get_rms(x, y):
             return np.sqrt(np.sum((np.array(x) - np.array(y)) ** 2) / len(x))
 
         # list of (energy, volume) tuples
-        e_v = list(zip(self.energies, self.volumes))
+        e_v = list(zip(self.energies, self.volumes, strict=False))
         n_data = len(e_v)
         # minimum number of data points used for fitting
         n_data_min = max(n_data - 2 * min_ndata_factor, min_poly_order + 1)

src/pymatgen/analysis/ewald.py

@@ -332,7 +332,7 @@ def _calc_recip(self):
         s_reals = np.sum(oxi_states[None, :] * np.cos(grs), 1)
         s_imags = np.sum(oxi_states[None, :] * np.sin(grs), 1)
 
-        for g, g2, gr, exp_val, s_real, s_imag in zip(gs, g2s, grs, exp_vals, s_reals, s_imags):
+        for g, g2, gr, exp_val, s_real, s_imag in zip(gs, g2s, grs, exp_vals, s_reals, s_imags, strict=False):
             # Uses the identity sin(x)+cos(x) = 2**0.5 sin(x + pi/4)
             m = np.sin((gr[None, :] + math.pi / 4) - gr[:, None])
             m *= exp_val / g2

src/pymatgen/analysis/ferroelectricity/polarization.py

@@ -307,7 +307,7 @@ def get_same_branch_polarization_data(self, convert_to_muC_per_cm2=True, all_in_
             sites.append(new_site[0])
 
         adjust_pol = []
-        for site, struct in zip(sites, d_structs):
+        for site, struct in zip(sites, d_structs, strict=False):
             adjust_pol.append(np.multiply(site.frac_coords, np.array(struct.lattice.lengths)).ravel())
         return np.array(adjust_pol)
 

src/pymatgen/analysis/graphs.py

@@ -34,8 +34,8 @@
     igraph = None
 
 if TYPE_CHECKING:
-    from collections.abc import Sequence
-    from typing import Any, Callable
+    from collections.abc import Callable, Sequence
+    from typing import Any
 
     from igraph import Graph
     from numpy.typing import ArrayLike

src/pymatgen/analysis/interface_reactions.py

@@ -186,7 +186,7 @@ def get_kinks(self) -> list[tuple[int, float, float, Reaction, float]]:
 
         index_kink = range(1, len(critical_comp) + 1)
 
-        return list(zip(index_kink, x_kink, energy_kink, react_kink, energy_per_rxt_formula))
+        return list(zip(index_kink, x_kink, energy_kink, react_kink, energy_per_rxt_formula, strict=False))
 
     def plot(self, backend: Literal["plotly", "matplotlib"] = "plotly") -> Figure | plt.Figure:
         """
@@ -326,7 +326,7 @@ def _get_elem_amt_in_rxn(self, rxn: Reaction) -> float:
 
     def _get_plotly_figure(self) -> Figure:
         """Get a Plotly figure of reaction kinks diagram."""
-        kinks = map(list, zip(*self.get_kinks()))
+        kinks = map(list, zip(*self.get_kinks(), strict=False))
         _, x, energy, reactions, _ = kinks
 
         lines = Scatter(
@@ -347,7 +347,8 @@ def _get_plotly_figure(self) -> Figure:
         rxn_min = reactions.pop(min_idx)
 
         labels = [
-            f"{htmlify(str(r))} <br>\u0394E<sub>rxn</sub> = {round(e, 3)} eV/atom" for r, e in zip(reactions, energy)
+            f"{htmlify(str(r))} <br>\u0394E<sub>rxn</sub> = {round(e, 3)} eV/atom"
+            for r, e in zip(reactions, energy, strict=False)
         ]
 
         markers = Scatter(
@@ -391,13 +392,13 @@ def _get_matplotlib_figure(self) -> plt.Figure:
         ax = pretty_plot(8, 5)
         plt.xlim([-0.05, 1.05])  # plot boundary is 5% wider on each side
 
-        kinks = list(zip(*self.get_kinks()))
+        kinks = list(zip(*self.get_kinks(), strict=False))
         _, x, energy, reactions, _ = kinks
 
         plt.plot(x, energy, "o-", markersize=8, c="navy", zorder=1)
         plt.scatter(self.minimum[0], self.minimum[1], marker="*", c="red", s=400, zorder=2)
 
-        for x_coord, y_coord, rxn in zip(x, energy, reactions):
+        for x_coord, y_coord, rxn in zip(x, energy, reactions, strict=False):
             products = ", ".join(
                 [latexify(p.reduced_formula) for p in rxn.products if not np.isclose(rxn.get_coeff(p), 0)]
             )
@@ -437,7 +438,7 @@ def _get_xaxis_title(self, latex: bool = True) -> str:
     def _get_plotly_annotations(x: list[float], y: list[float], reactions: list[Reaction]):
         """Get dictionary of annotations for the Plotly figure layout."""
         annotations = []
-        for x_coord, y_coord, rxn in zip(x, y, reactions):
+        for x_coord, y_coord, rxn in zip(x, y, reactions, strict=False):
             products = ", ".join(
                 [htmlify(p.reduced_formula) for p in rxn.products if not np.isclose(rxn.get_coeff(p), 0)]
             )

src/pymatgen/analysis/interfaces/coherent_interfaces.py

@@ -143,7 +143,7 @@ def _find_terminations(self):
         self._terminations = {
             (film_label, sub_label): (film_shift, sub_shift)
             for (film_label, film_shift), (sub_label, sub_shift) in product(
-                zip(film_terminations, film_shifts), zip(sub_terminations, sub_shifts)
+                zip(film_terminations, film_shifts, strict=False), zip(sub_terminations, sub_shifts, strict=False)
             )
         }
         self.terminations = list(self._terminations)