from enum import Enum
from functools import partial
from typing import TYPE_CHECKING, Any, Dict, Optional, Set, Union
import numpy as np
try:
from pydantic.v1 import Field, constr, validator
except ImportError: # Will also trap ModuleNotFoundError
from pydantic import Field, constr, validator
from ..util import provenance_stamp
from .basemodels import ProtoModel, qcschema_draft
from .basis import BasisSet
from .common_models import ComputeError, DriverEnum, Model, Provenance, qcschema_input_default, qcschema_output_default
from .molecule import Molecule
from .types import Array
if TYPE_CHECKING:
try:
from pydantic.v1.typing import ReprArgs
except ImportError: # Will also trap ModuleNotFoundError
from pydantic.typing import ReprArgs
[docs]class AtomicResultProperties(ProtoModel):
r"""
Named properties of quantum chemistry computations following the MolSSI QCSchema.
All arrays are stored flat but must be reshapable into the dimensions in attribute ``shape``, with abbreviations as follows:
* nao: number of atomic orbitals = :attr:`~qcelemental.models.AtomicResultProperties.calcinfo_nbasis`
* nmo: number of molecular orbitals = :attr:`~qcelemental.models.AtomicResultProperties.calcinfo_nmo`
"""
# Calcinfo
calcinfo_nbasis: Optional[int] = Field(None, description="The number of basis functions for the computation.")
calcinfo_nmo: Optional[int] = Field(None, description="The number of molecular orbitals for the computation.")
calcinfo_nalpha: Optional[int] = Field(None, description="The number of alpha electrons in the computation.")
calcinfo_nbeta: Optional[int] = Field(None, description="The number of beta electrons in the computation.")
calcinfo_natom: Optional[int] = Field(None, description="The number of atoms in the computation.")
# Canonical
nuclear_repulsion_energy: Optional[float] = Field(None, description="The nuclear repulsion energy.")
return_energy: Optional[float] = Field(
None,
description=f"The energy of the requested method, identical to :attr:`~qcelemental.models.AtomicResult.return_result` for :attr:`~qcelemental.models.AtomicInput.driver`\\ =\\ :attr:`~qcelemental.models.DriverEnum.energy` computations.",
)
return_gradient: Optional[Array[float]] = Field(
None,
description=f"The gradient of the requested method, identical to :attr:`~qcelemental.models.AtomicResult.return_result` for :attr:`~qcelemental.models.AtomicInput.driver`\\ =\\ :attr:`~qcelemental.models.DriverEnum.gradient` computations.",
units="E_h/a0",
)
return_hessian: Optional[Array[float]] = Field(
None,
description=f"The Hessian of the requested method, identical to :attr:`~qcelemental.models.AtomicResult.return_result` for :attr:`~qcelemental.models.AtomicInput.driver`\\ =\\ :attr:`~qcelemental.models.DriverEnum.hessian` computations.",
units="E_h/a0^2",
)
# SCF Keywords
scf_one_electron_energy: Optional[float] = Field(
None,
description="The one-electron (core Hamiltonian) energy contribution to the total SCF energy.",
units="E_h",
)
scf_two_electron_energy: Optional[float] = Field(
None,
description="The two-electron energy contribution to the total SCF energy.",
units="E_h",
)
scf_vv10_energy: Optional[float] = Field(
None,
description="The VV10 functional energy contribution to the total SCF energy.",
units="E_h",
)
scf_xc_energy: Optional[float] = Field(
None,
description="The functional (XC) energy contribution to the total SCF energy.",
units="E_h",
)
scf_dispersion_correction_energy: Optional[float] = Field(
None,
description="The dispersion correction appended to an underlying functional when a DFT-D method is requested.",
units="E_h",
)
scf_dipole_moment: Optional[Array[float]] = Field(
None,
description="The SCF X, Y, and Z dipole components",
units="e a0",
)
scf_quadrupole_moment: Optional[Array[float]] = Field(
None,
description="The quadrupole components (redundant; 6 unique).",
shape=[3, 3],
units="e a0^2",
)
scf_total_energy: Optional[float] = Field(
None,
description="The total electronic energy of the SCF stage of the calculation.",
units="E_h",
)
scf_total_gradient: Optional[Array[float]] = Field(
None,
description="The total electronic gradient of the SCF stage of the calculation.",
units="E_h/a0",
)
scf_total_hessian: Optional[Array[float]] = Field(
None,
description="The total electronic Hessian of the SCF stage of the calculation.",
units="E_h/a0^2",
)
scf_iterations: Optional[int] = Field(None, description="The number of SCF iterations taken before convergence.")
# MP2 Keywords
mp2_same_spin_correlation_energy: Optional[float] = Field(
None,
description="The portion of MP2 doubles correlation energy from same-spin (i.e. triplet) correlations, without any user scaling.",
units="E_h",
)
mp2_opposite_spin_correlation_energy: Optional[float] = Field(
None,
description="The portion of MP2 doubles correlation energy from opposite-spin (i.e. singlet) correlations, without any user scaling.",
units="E_h",
)
mp2_singles_energy: Optional[float] = Field(
None,
description="The singles portion of the MP2 correlation energy. Zero except in ROHF.",
units="E_h",
)
mp2_doubles_energy: Optional[float] = Field(
None,
description="The doubles portion of the MP2 correlation energy including same-spin and opposite-spin correlations.",
units="E_h",
)
mp2_correlation_energy: Optional[float] = Field(
None,
description="The MP2 correlation energy.",
units="E_h",
)
mp2_total_energy: Optional[float] = Field(
None,
description="The total MP2 energy (MP2 correlation energy + HF energy).",
units="E_h",
)
mp2_dipole_moment: Optional[Array[float]] = Field(
None,
description="The MP2 X, Y, and Z dipole components.",
shape=[3],
units="e a0",
)
# CCSD Keywords
ccsd_same_spin_correlation_energy: Optional[float] = Field(
None,
description="The portion of CCSD doubles correlation energy from same-spin (i.e. triplet) correlations, without any user scaling.",
units="E_h",
)
ccsd_opposite_spin_correlation_energy: Optional[float] = Field(
None,
description="The portion of CCSD doubles correlation energy from opposite-spin (i.e. singlet) correlations, without any user scaling.",
units="E_h",
)
ccsd_singles_energy: Optional[float] = Field(
None,
description="The singles portion of the CCSD correlation energy. Zero except in ROHF.",
units="E_h",
)
ccsd_doubles_energy: Optional[float] = Field(
None,
description="The doubles portion of the CCSD correlation energy including same-spin and opposite-spin correlations.",
units="E_h",
)
ccsd_correlation_energy: Optional[float] = Field(
None,
description="The CCSD correlation energy.",
units="E_h",
)
ccsd_total_energy: Optional[float] = Field(
None,
description="The total CCSD energy (CCSD correlation energy + HF energy).",
units="E_h",
)
ccsd_dipole_moment: Optional[Array[float]] = Field(
None,
description="The CCSD X, Y, and Z dipole components.",
shape=[3],
units="e a0",
)
ccsd_iterations: Optional[int] = Field(None, description="The number of CCSD iterations taken before convergence.")
# CCSD(T) keywords
ccsd_prt_pr_correlation_energy: Optional[float] = Field(
None,
description="The CCSD(T) correlation energy.",
units="E_h",
)
ccsd_prt_pr_total_energy: Optional[float] = Field(
None,
description="The total CCSD(T) energy (CCSD(T) correlation energy + HF energy).",
units="E_h",
)
ccsd_prt_pr_dipole_moment: Optional[Array[float]] = Field(
None,
description="The CCSD(T) X, Y, and Z dipole components.",
shape=[3],
units="e a0",
)
# CCSDT keywords
ccsdt_correlation_energy: Optional[float] = Field(
None,
description="The CCSDT correlation energy.",
units="E_h",
)
ccsdt_total_energy: Optional[float] = Field(
None,
description="The total CCSDT energy (CCSDT correlation energy + HF energy).",
units="E_h",
)
ccsdt_dipole_moment: Optional[Array[float]] = Field(
None,
description="The CCSDT X, Y, and Z dipole components.",
shape=[3],
units="e a0",
)
ccsdt_iterations: Optional[int] = Field(
None, description="The number of CCSDT iterations taken before convergence."
)
# CCSDTQ keywords
ccsdtq_correlation_energy: Optional[float] = Field(
None,
description="The CCSDTQ correlation energy.",
units="E_h",
)
ccsdtq_total_energy: Optional[float] = Field(
None,
description="The total CCSDTQ energy (CCSDTQ correlation energy + HF energy).",
units="E_h",
)
ccsdtq_dipole_moment: Optional[Array[float]] = Field(
None,
description="The CCSDTQ X, Y, and Z dipole components.",
shape=[3],
units="e a0",
)
ccsdtq_iterations: Optional[int] = Field(
None, description="The number of CCSDTQ iterations taken before convergence."
)
class Config(ProtoModel.Config):
force_skip_defaults = True
def __repr_args__(self) -> "ReprArgs":
return [(k, v) for k, v in self.dict().items()]
@validator(
"scf_dipole_moment",
"mp2_dipole_moment",
"ccsd_dipole_moment",
"ccsd_prt_pr_dipole_moment",
"scf_quadrupole_moment",
)
def _validate_poles(cls, v, values, field):
if v is None:
return v
if field.name.endswith("_dipole_moment"):
order = 1
elif field.name.endswith("_quadrupole_moment"):
order = 2
shape = tuple([3] * order)
return np.asarray(v).reshape(shape)
@validator(
"return_gradient",
"return_hessian",
"scf_total_gradient",
"scf_total_hessian",
)
def _validate_derivs(cls, v, values, field):
if v is None:
return v
nat = values.get("calcinfo_natom", None)
if nat is None:
raise ValueError(f"Please also set ``calcinfo_natom``!")
if field.name.endswith("_gradient"):
shape = (nat, 3)
elif field.name.endswith("_hessian"):
shape = (3 * nat, 3 * nat)
try:
v = np.asarray(v).reshape(shape)
except (ValueError, AttributeError):
raise ValueError(f"Derivative must be castable to shape {shape}!")
return v
[docs] def dict(self, *args, **kwargs):
# pure-json dict repr for QCFractal compliance, see https://github.com/MolSSI/QCFractal/issues/579
# Sep 2021: commenting below for now to allow recomposing AtomicResult.properties for qcdb.
# This will break QCFractal tests for now, but future qcf will be ok with it.
# kwargs["encoding"] = "json"
return super().dict(*args, **kwargs)
[docs]class WavefunctionProperties(ProtoModel):
r"""Wavefunction properties resulting from a computation. Matrix quantities are stored in column-major order. Presence and contents configurable by protocol."""
# Class properties
_return_results_names: Set[str] = {
"orbitals_a",
"orbitals_b",
"density_a",
"density_b",
"fock_a",
"fock_b",
"eigenvalues_a",
"eigenvalues_b",
"occupations_a",
"occupations_b",
}
# The full basis set description of the quantities
basis: BasisSet = Field(..., description=str(BasisSet.__doc__))
restricted: bool = Field(
...,
description=str(
"If the computation was restricted or not (alpha == beta). If True, all beta quantities are skipped."
),
)
# Core Hamiltonian
h_core_a: Optional[Array[float]] = Field(
None, description="Alpha-spin core (one-electron) Hamiltonian in the AO basis.", shape=["nao", "nao"]
)
h_core_b: Optional[Array[float]] = Field(
None, description="Beta-spin core (one-electron) Hamiltonian in the AO basis.", shape=["nao", "nao"]
)
h_effective_a: Optional[Array[float]] = Field(
None, description="Alpha-spin effective core (one-electron) Hamiltonian in the AO basis.", shape=["nao", "nao"]
)
h_effective_b: Optional[Array[float]] = Field(
None, description="Beta-spin effective core (one-electron) Hamiltonian in the AO basis", shape=["nao", "nao"]
)
# SCF Results
scf_orbitals_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin orbitals in the AO basis.", shape=["nao", "nmo"]
)
scf_orbitals_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin orbitals in the AO basis.", shape=["nao", "nmo"]
)
scf_density_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin density matrix in the AO basis.", shape=["nao", "nao"]
)
scf_density_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin density matrix in the AO basis.", shape=["nao", "nao"]
)
scf_fock_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin Fock matrix in the AO basis.", shape=["nao", "nao"]
)
scf_fock_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin Fock matrix in the AO basis.", shape=["nao", "nao"]
)
scf_eigenvalues_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin orbital eigenvalues.", shape=["nmo"]
)
scf_eigenvalues_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin orbital eigenvalues.", shape=["nmo"]
)
scf_occupations_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin orbital occupations.", shape=["nmo"]
)
scf_occupations_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin orbital occupations.", shape=["nmo"]
)
# BELOW from qcsk
scf_coulomb_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin Coulomb matrix in the AO basis.", shape=["nao", "nao"]
)
scf_coulomb_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin Coulomb matrix in the AO basis.", shape=["nao", "nao"]
)
scf_exchange_a: Optional[Array[float]] = Field(
None, description="SCF alpha-spin exchange matrix in the AO basis.", shape=["nao", "nao"]
)
scf_exchange_b: Optional[Array[float]] = Field(
None, description="SCF beta-spin exchange matrix in the AO basis.", shape=["nao", "nao"]
)
# Localized-orbital SCF wavefunction quantities
localized_orbitals_a: Optional[Array[float]] = Field(
None,
description="Localized alpha-spin orbitals in the AO basis. All nmo orbitals are included, even if only a subset were localized.",
shape=["nao", "nmo"],
)
localized_orbitals_b: Optional[Array[float]] = Field(
None,
description="Localized beta-spin orbitals in the AO basis. All nmo orbitals are included, even if only a subset were localized.",
shape=["nao", "nmo"],
)
localized_fock_a: Optional[Array[float]] = Field(
None,
description="Alpha-spin Fock matrix in the localized molecular orbital basis. All nmo orbitals are included, even if only a subset were localized.",
shape=["nmo", "nmo"],
)
localized_fock_b: Optional[Array[float]] = Field(
None,
description="Beta-spin Fock matrix in the localized molecular orbital basis. All nmo orbitals are included, even if only a subset were localized.",
shape=["nmo", "nmo"],
)
# ABOVE from qcsk
# Return results, must be defined last
orbitals_a: Optional[str] = Field(None, description="Index to the alpha-spin orbitals of the primary return.")
orbitals_b: Optional[str] = Field(None, description="Index to the beta-spin orbitals of the primary return.")
density_a: Optional[str] = Field(None, description="Index to the alpha-spin density of the primary return.")
density_b: Optional[str] = Field(None, description="Index to the beta-spin density of the primary return.")
fock_a: Optional[str] = Field(None, description="Index to the alpha-spin Fock matrix of the primary return.")
fock_b: Optional[str] = Field(None, description="Index to the beta-spin Fock matrix of the primary return.")
eigenvalues_a: Optional[str] = Field(
None, description="Index to the alpha-spin orbital eigenvalues of the primary return."
)
eigenvalues_b: Optional[str] = Field(
None, description="Index to the beta-spin orbital eigenvalues of the primary return."
)
occupations_a: Optional[str] = Field(
None, description="Index to the alpha-spin orbital occupations of the primary return."
)
occupations_b: Optional[str] = Field(
None, description="Index to the beta-spin orbital occupations of the primary return."
)
class Config(ProtoModel.Config):
force_skip_defaults = True
@validator("scf_eigenvalues_a", "scf_eigenvalues_b", "scf_occupations_a", "scf_occupations_b")
def _assert1d(cls, v, values):
try:
v = v.reshape(-1)
except (ValueError, AttributeError):
raise ValueError("Vector must be castable to shape (-1, )!")
return v
@validator("scf_orbitals_a", "scf_orbitals_b")
def _assert2d_nao_x(cls, v, values):
bas = values.get("basis", None)
# Do not raise multiple errors
if bas is None:
return v
try:
v = v.reshape(bas.nbf, -1)
except (ValueError, AttributeError):
raise ValueError("Matrix must be castable to shape (nbf, -1)!")
return v
@validator(
"h_core_a",
"h_core_b",
"h_effective_a",
"h_effective_b",
# SCF
"scf_density_a",
"scf_density_b",
"scf_fock_a",
"scf_fock_b",
)
def _assert2d(cls, v, values):
bas = values.get("basis", None)
# Do not raise multiple errors
if bas is None:
return v
try:
v = v.reshape(bas.nbf, bas.nbf)
except (ValueError, AttributeError):
raise ValueError("Matrix must be castable to shape (nbf, nbf)!")
return v
@validator(
"orbitals_a",
"orbitals_b",
"density_a",
"density_b",
"fock_a",
"fock_b",
"eigenvalues_a",
"eigenvalues_b",
"occupations_a",
"occupations_b",
)
def _assert_exists(cls, v, values):
if values.get(v, None) is None:
raise ValueError(f"Return quantity {v} does not exist in the values.")
return v
class WavefunctionProtocolEnum(str, Enum):
r"""Wavefunction to keep from a computation."""
all = "all"
orbitals_and_eigenvalues = "orbitals_and_eigenvalues"
occupations_and_eigenvalues = "occupations_and_eigenvalues"
return_results = "return_results"
none = "none"
class ErrorCorrectionProtocol(ProtoModel):
r"""Configuration for how QCEngine handles error correction
WARNING: These protocols are currently experimental and only supported by NWChem tasks
"""
default_policy: bool = Field(
True, description="Whether to allow error corrections to be used " "if not directly specified in `policies`"
)
# TODO (wardlt): Consider support for common policies (e.g., 'only increase iterations') as strings (see #182)
policies: Optional[Dict[str, bool]] = Field(
None,
description="Settings that define whether specific error corrections are allowed. "
"Keys are the name of a known error and values are whether it is allowed to be used.",
)
def allows(self, policy: str):
if self.policies is None:
return self.default_policy
return self.policies.get(policy, self.default_policy)
class NativeFilesProtocolEnum(str, Enum):
r"""CMS program files to keep from a computation."""
all = "all"
input = "input"
none = "none"
[docs]class AtomicResultProtocols(ProtoModel):
r"""Protocols regarding the manipulation of computational result data."""
wavefunction: WavefunctionProtocolEnum = Field(
WavefunctionProtocolEnum.none, description=str(WavefunctionProtocolEnum.__doc__)
)
stdout: bool = Field(True, description="Primary output file to keep from the computation")
error_correction: ErrorCorrectionProtocol = Field(
default_factory=ErrorCorrectionProtocol, description="Policies for error correction"
)
native_files: NativeFilesProtocolEnum = Field(
NativeFilesProtocolEnum.none,
description="Policies for keeping processed files from the computation",
)
class Config:
force_skip_defaults = True
### Primary models
[docs]class AtomicResult(AtomicInput):
r"""Results from a CMS program execution."""
schema_name: constr(strip_whitespace=True, regex="^(qc_?schema_output)$") = Field( # type: ignore
qcschema_output_default,
description=(
f"The QCSchema specification this model conforms to. Explicitly fixed as {qcschema_output_default}."
),
)
properties: AtomicResultProperties = Field(..., description=str(AtomicResultProperties.__doc__))
wavefunction: Optional[WavefunctionProperties] = Field(None, description=str(WavefunctionProperties.__doc__))
return_result: Union[float, Array[float], Dict[str, Any]] = Field(
...,
description="The primary return specified by the :attr:`~qcelemental.models.AtomicInput.driver` field. Scalar if energy; array if gradient or hessian; dictionary with property keys if properties.",
) # type: ignore
stdout: Optional[str] = Field(
None,
description="The primary logging output of the program, whether natively standard output or a file. Presence vs. absence (or null-ness?) configurable by protocol.",
)
stderr: Optional[str] = Field(None, description="The standard error of the program execution.")
native_files: Dict[str, Any] = Field({}, description="DSL files.")
success: bool = Field(..., description="The success of program execution. If False, other fields may be blank.")
error: Optional[ComputeError] = Field(None, description=str(ComputeError.__doc__))
provenance: Provenance = Field(..., description=str(Provenance.__doc__))
@validator("schema_name", pre=True)
def _input_to_output(cls, v):
r"""If qcschema_input is passed in, cast it to output, otherwise no"""
if v.lower().strip() in [qcschema_input_default, qcschema_output_default]:
return qcschema_output_default
raise ValueError(
"Only {0} or {1} is allowed for schema_name, "
"which will be converted to {0}".format(qcschema_output_default, qcschema_input_default)
)
@validator("return_result")
def _validate_return_result(cls, v, values):
if values["driver"] == "gradient":
v = np.asarray(v).reshape(-1, 3)
elif values["driver"] == "hessian":
v = np.asarray(v)
nsq = int(v.size**0.5)
v.shape = (nsq, nsq)
return v
@validator("wavefunction", pre=True)
def _wavefunction_protocol(cls, value, values):
# We are pre, gotta do extra checks
if value is None:
return value
elif isinstance(value, dict):
wfn = value.copy()
elif isinstance(value, WavefunctionProperties):
wfn = value.dict()
else:
raise ValueError("wavefunction must be None, a dict, or a WavefunctionProperties object.")
# Do not propagate validation errors
if "protocols" not in values:
raise ValueError("Protocols was not properly formed.")
# Handle restricted
restricted = wfn.get("restricted", None)
if restricted is None:
raise ValueError("`restricted` is required.")
if restricted:
for k in list(wfn.keys()):
if k.endswith("_b"):
wfn.pop(k)
# Handle protocols
wfnp = values["protocols"].wavefunction
return_keep = None
if wfnp == "all":
pass
elif wfnp == "none":
wfn = None
elif wfnp == "return_results":
return_keep = [
"orbitals_a",
"orbitals_b",
"density_a",
"density_b",
"fock_a",
"fock_b",
"eigenvalues_a",
"eigenvalues_b",
"occupations_a",
"occupations_b",
]
elif wfnp == "orbitals_and_eigenvalues":
return_keep = ["orbitals_a", "orbitals_b", "eigenvalues_a", "eigenvalues_b"]
elif wfnp == "occupations_and_eigenvalues":
return_keep = ["occupations_a", "occupations_b", "eigenvalues_a", "eigenvalues_b"]
else:
raise ValueError(f"Protocol `wavefunction:{wfnp}` is not understood.")
if return_keep is not None:
ret_wfn = {"restricted": restricted}
if "basis" in wfn:
ret_wfn["basis"] = wfn["basis"]
for rk in return_keep:
key = wfn.get(rk, None)
if key is None:
continue
ret_wfn[rk] = key
ret_wfn[key] = wfn[key]
return ret_wfn
else:
return wfn
@validator("stdout")
def _stdout_protocol(cls, value, values):
# Do not propagate validation errors
if "protocols" not in values:
raise ValueError("Protocols was not properly formed.")
outp = values["protocols"].stdout
if outp is True:
return value
elif outp is False:
return None
else:
raise ValueError(f"Protocol `stdout:{outp}` is not understood")
@validator("native_files")
def _native_file_protocol(cls, value, values):
ancp = values["protocols"].native_files
if ancp == "all":
return value
elif ancp == "none":
return {}
elif ancp == "input":
return_keep = ["input"]
if value is None:
files = {}
else:
files = value.copy()
else:
raise ValueError(f"Protocol `native_files:{ancp}` is not understood")
ret = {}
for rk in return_keep:
ret[rk] = files.get(rk, None)
return ret
[docs]class ResultProperties(AtomicResultProperties):
"""QC Result Properties Schema.
.. deprecated:: 0.12
Use :py:func:`qcelemental.models.AtomicResultProperties` instead.
"""
def __init__(self, *args, **kwargs):
from warnings import warn
warn(
"ResultProperties has been renamed to AtomicResultProperties and will be removed as soon as v0.13.0",
DeprecationWarning,
)
super().__init__(*args, **kwargs)
class ResultProtocols(AtomicResultProtocols):
"""QC Result Protocols Schema.
.. deprecated:: 0.12
Use :py:func:`qcelemental.models.AtomicResultProtocols` instead.
"""
def __init__(self, *args, **kwargs):
from warnings import warn
warn(
"ResultProtocols has been renamed to AtomicResultProtocols and will be removed as soon as v0.13.0",
DeprecationWarning,
)
super().__init__(*args, **kwargs)
[docs]class Result(AtomicResult):
"""QC Result Schema.
.. deprecated:: 0.12
Use :py:func:`qcelemental.models.AtomicResult` instead.
"""
def __init__(self, *args, **kwargs):
from warnings import warn
warn("Result has been renamed to AtomicResult and will be removed as soon as v0.13.0", DeprecationWarning)
super().__init__(*args, **kwargs)