@@ -2495,7 +2495,7 @@ def read_chemical_shielding(self) -> None:
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List of chemical shieldings in the order of atoms from the OUTCAR. Maryland notation is adopted.
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"""
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header_pattern = (
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- r"\s+CSA tensor \(J\. Mason, Solid State Nucl\. Magn\. Reson\. 2, "
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+ r"\s+CSA tensor \(J\. Mason, Solid State Nucl\. Magn\. Reson\. 2, " # codespell:ignore reson
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r"285 \(1993\)\)\s+"
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r"\s+-{50,}\s+"
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r"\s+EXCLUDING G=0 CONTRIBUTION\s+INCLUDING G=0 CONTRIBUTION\s+"
@@ -3902,23 +3902,23 @@ class Procar(MSONable):
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Attributes:
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data (dict): The PROCAR data of the form below. It should VASP uses 1-based indexing,
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but all indices are converted to 0-based here.
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- { spin: nd .array accessed with (k-point index, band index, ion index, orbital index) }
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- weights (np.array): The weights associated with each k-point as an nd .array of length nkpoints.
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+ { spin: np .array accessed with (k-point index, band index, ion index, orbital index) }
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+ weights (np.array): The weights associated with each k-point as an np .array of length nkpoints.
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phase_factors (dict): Phase factors, where present (e.g. LORBIT = 12). A dict of the form:
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- { spin: complex nd .array accessed with (k-point index, band index, ion index, orbital index) }
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+ { spin: complex np .array accessed with (k-point index, band index, ion index, orbital index) }
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nbands (int): Number of bands.
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nkpoints (int): Number of k-points.
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nions (int): Number of ions.
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nspins (int): Number of spins.
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is_soc (bool): Whether the PROCAR contains spin-orbit coupling (LSORBIT = True) data.
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- kpoints (np.array): The k-points as an nd .array of shape (nkpoints, 3).
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+ kpoints (np.array): The k-points as an np .array of shape (nkpoints, 3).
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occupancies (dict): The occupancies of the bands as a dict of the form:
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- { spin: nd .array accessed with (k-point index, band index) }
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+ { spin: np .array accessed with (k-point index, band index) }
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eigenvalues (dict): The eigenvalues of the bands as a dict of the form:
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- { spin: nd .array accessed with (k-point index, band index) }
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+ { spin: np .array accessed with (k-point index, band index) }
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xyz_data (dict): The PROCAR projections data along the x,y and z magnetisation projection
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directions, with is_soc = True (see VASP wiki for more info).
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- { 'x'/'y'/'z': nd .array accessed with (k-point index, band index, ion index, orbital index) }
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+ { 'x'/'y'/'z': np .array accessed with (k-point index, band index, ion index, orbital index) }
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"""
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def __init__ (self , filename : PathLike | list [PathLike ]):
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