def __eq__(self, other):
if isinstance(other, GriddedField4) and \
self.fieldname == other.fieldname and \
self.gridnames == other.gridnames and \
self.grids == other.grids and \
self.data == other.data:
return True
else:
return False
def __bool__(self):
return bool(self.data)
exec(array_base(GriddedField4))
lib.createGriddedField4.restype = c.c_void_p
lib.createGriddedField4.argtypes = []
lib.deleteGriddedField4.restype = None
lib.deleteGriddedField4.argtypes = [c.c_void_p]
lib.printGriddedField4.restype = None
lib.printGriddedField4.argtypes = [c.c_void_p]
lib.xmlreadGriddedField4.restype = c.c_long
lib.xmlreadGriddedField4.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveGriddedField4.restype = c.c_long
lib.xmlsaveGriddedField4.argtypes = [
self.analytical == other.analytical and \
self.perturbation == other.perturbation and \
self.grids == other.grids and \
self.quantumidentity == other.quantumidentity and \
self.transformation_func == other.transformation_func and \
self.t_func_parameters == other.t_func_parameters and \
self.transformation == other.transformation and \
self.offset == other.offset and \
self.type == other.type and \
self.integration == other.integration:
return True
else:
return False
exec(array_base(RetrievalQuantity))
lib.createRetrievalQuantity.restype = c.c_void_p
lib.createRetrievalQuantity.argtypes = []
lib.deleteRetrievalQuantity.restype = None
lib.deleteRetrievalQuantity.argtypes = [c.c_void_p]
lib.printRetrievalQuantity.restype = None
lib.printRetrievalQuantity.argtypes = [c.c_void_p]
lib.xmlreadRetrievalQuantity.restype = c.c_long
lib.xmlreadRetrievalQuantity.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveRetrievalQuantity.restype = c.c_long
lib.xmlsaveRetrievalQuantity.argtypes = [
def __rmul__(self, val):
return Tensor5(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Tensor5(np.array(val) / self.data)
def __rpow__(self, val):
return Tensor5(np.array(val)**self.data)
# ArrayOfTensor5
exec(array_base(Tensor5))
# ArrayOfArrayOfTensor5
# exec(array_base(ArrayOfTensor5))
lib.createTensor5.restype = c.c_void_p
lib.createTensor5.argtypes = []
lib.deleteTensor5.restype = None
lib.deleteTensor5.argtypes = [c.c_void_p]
lib.printTensor5.restype = None
lib.printTensor5.argtypes = [c.c_void_p]
lib.xmlreadTensor5.restype = c.c_long
lib.xmlreadTensor5.argtypes = [c.c_void_p, c.c_char_p]
clobber:
Allow clobbering files? (any boolean)
"""
if lib.xmlsaveCIARecord(self.__data__, *correct_save_arguments(file, type, clobber)):
raise OSError("Cannot save {}".format(file))
def __eq__(self, other):
if isinstance(other, CIARecord) and self.specs == other.specs and self.data == other.data:
return True
else:
return False
exec(array_base(CIARecord))
lib.createCIARecord.restype = c.c_void_p
lib.createCIARecord.argtypes = []
lib.deleteCIARecord.restype = None
lib.deleteCIARecord.argtypes = [c.c_void_p]
lib.printCIARecord.restype = None
lib.printCIARecord.argtypes = [c.c_void_p]
lib.xmlreadCIARecord.restype = c.c_long
lib.xmlreadCIARecord.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveCIARecord.restype = c.c_long
raise OSError("Cannot save {}".format(file))
def __eq__(self, other):
if isinstance(other, JacobianTarget) and \
self.type == other.type and\
self.subtype == other.subtype and \
(self.perturbation == other.perturbation or (isnan(self.perturbation) and isnan(other.perturbation))) and \
self.quantumidentity == other.quantumidentity and \
self.string_key == other.string_key and \
self.specieslist == other.specieslist:
return True
else:
return False
exec(array_base(JacobianTarget))
lib.createJacobianTarget.restype = c.c_void_p
lib.createJacobianTarget.argtypes = []
lib.deleteJacobianTarget.restype = None
lib.deleteJacobianTarget.argtypes = [c.c_void_p]
lib.printJacobianTarget.restype = None
lib.printJacobianTarget.argtypes = [c.c_void_p]
lib.xmlreadJacobianTarget.restype = c.c_long
lib.xmlreadJacobianTarget.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveJacobianTarget.restype = c.c_long
correct_read_arguments(file)):
raise OSError("Cannot read {}".format(file))
def savexml(self, file, type="ascii", clobber=True):
""" Saves the class to XML file
Input:
file:
Filename to writable file (str)
type:
Filetype (str)
clobber:
Allow clobbering files? (any boolean)
"""
if lib.xmlsaveQuantumIdentifier(
self.__data__, *correct_save_arguments(file, type, clobber)):
raise OSError("Cannot save {}".format(file))
BasicInterfaceCAPI(lib, "QuantumIdentifier")
VoidStructGetterCAPI(lib, "QuantumIdentifier", "isotopologue_index")
VoidStructGetterCAPI(lib, "QuantumIdentifier", "val")
lib.fromstringQuantumIdentifier.restype = c.c_long
lib.fromstringQuantumIdentifier.argtypes = [c.c_void_p, c.c_char_p]
# Generate ArrayOfQuantumIdentifier
exec(array_base(QuantumIdentifier))
def __rmul__(self, val):
return Matrix(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Matrix(np.array(val) / self.data)
def __rpow__(self, val):
return Matrix(np.array(val) ** self.data)
# ArrayOfMatrix
exec(array_base(Matrix))
# ArrayOfArrayOfMatrix
exec(array_base(ArrayOfMatrix))
lib.createMatrix.restype = c.c_void_p
lib.createMatrix.argtypes = []
lib.deleteMatrix.restype = None
lib.deleteMatrix.argtypes = [c.c_void_p]
lib.printMatrix.restype = None
lib.printMatrix.argtypes = [c.c_void_p]
self.end_los == other.end_los and \
self.end_lstep == other.end_lstep and \
self.nreal == other.nreal and \
self.ngroup == other.ngroup and \
self.gp_p == other.gp_p and \
self.gp_lat == other.gp_lat and \
self.gp_lon == other.gp_lon:
return True
else:
return False
def __bool__(self):
return not self.np <= 0
exec(array_base(Ppath))
lib.createPpath.restype = c.c_void_p
lib.createPpath.argtypes = []
lib.deletePpath.restype = None
lib.deletePpath.argtypes = [c.c_void_p]
lib.printPpath.restype = None
lib.printPpath.argtypes = [c.c_void_p]
lib.xmlreadPpath.restype = c.c_long
lib.xmlreadPpath.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsavePpath.restype = c.c_long
lib.xmlsavePpath.argtypes = [c.c_void_p, c.c_char_p, c.c_long, c.c_long]
def __eq__(self, other):
if isinstance(other, XsecRecord) and \
self.spec == other.spec and \
self.coeffs == other.coeffs and \
self.ref_pressure == other.ref_pressure and \
self.ref_temperature == other.ref_temperature and \
self.fgrids == other.fgrids and \
self.xsecs == other.xsecs and \
self.temperature_slope == other.temperature_slope and \
self.temperature_intersect == other.temperature_intersect:
return True
else:
return False
exec(array_base(XsecRecord))
lib.createXsecRecord.restype = c.c_void_p
lib.createXsecRecord.argtypes = []
lib.deleteXsecRecord.restype = None
lib.deleteXsecRecord.argtypes = [c.c_void_p]
lib.printXsecRecord.restype = None
lib.printXsecRecord.argtypes = [c.c_void_p]
lib.xmlreadXsecRecord.restype = c.c_long
lib.xmlreadXsecRecord.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveXsecRecord.restype = c.c_long
lib.xmlsaveXsecRecord.argtypes = [c.c_void_p, c.c_char_p, c.c_long, c.c_long]
return Sparse(np.array(val) - self.data)
def __rmul__(self, val):
return Sparse(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Sparse(np.array(val) / self.data)
def __rpow__(self, val):
return Sparse(np.array(val)**self.data)
exec(array_base(Sparse))
lib.createSparse.restype = c.c_void_p
lib.createSparse.argtypes = []
lib.deleteSparse.restype = None
lib.deleteSparse.argtypes = [c.c_void_p]
lib.printSparse.restype = None
lib.printSparse.argtypes = [c.c_void_p]
lib.xmlreadSparse.restype = c.c_long
lib.xmlreadSparse.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveSparse.restype = c.c_long
lib.xmlsaveSparse.argtypes = [c.c_void_p, c.c_char_p, c.c_long, c.c_long]
self.pos = other.pos
self.lx = other.lx
self.dlx = other.dlx
else:
raise TypeError("Expects LagrangeInterpolation")
def __eq__(self, other):
if isinstance(
other, LagrangeInterpolation
) and self.pos == other.pos and self.lx == other.lx and self.dlx == other.dlx:
return True
else:
return False
exec(array_base(LagrangeInterpolation))
lib.createLagrangeInterpolation.restype = c.c_void_p
lib.createLagrangeInterpolation.argtypes = []
lib.deleteLagrangeInterpolation.restype = None
lib.deleteLagrangeInterpolation.argtypes = [c.c_void_p]
lib.printLagrangeInterpolation.restype = None
lib.printLagrangeInterpolation.argtypes = [c.c_void_p]
lib.getposLagrangeInterpolation.restype = c.c_void_p
lib.getposLagrangeInterpolation.argtypes = [c.c_void_p]
lib.getlxLagrangeInterpolation.restype = c.c_void_p
lib.getlxLagrangeInterpolation.argtypes = [c.c_void_p]
"""
if lib.xmlsaveTransmissionMatrix(
self.__data__, *correct_save_arguments(file, type, clobber)):
raise OSError("Cannot save {}".format(file))
def __eq__(self, other):
if isinstance(other, Sized) and len(other) == len(self):
for i in range(len(self)):
if (self[i] != other[i]).any():
return False
return True
else:
return False
exec(array_base(TransmissionMatrix))
exec(array_base(ArrayOfTransmissionMatrix))
lib.createTransmissionMatrix.restype = c.c_void_p
lib.createTransmissionMatrix.argtypes = []
lib.deleteTransmissionMatrix.restype = None
lib.deleteTransmissionMatrix.argtypes = [c.c_void_p]
lib.printTransmissionMatrix.restype = None
lib.printTransmissionMatrix.argtypes = [c.c_void_p]
lib.xmlreadTransmissionMatrix.restype = c.c_long
lib.xmlreadTransmissionMatrix.argtypes = [c.c_void_p, c.c_char_p]
def __rmul__(self, val):
return Tensor7(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Tensor7(np.array(val) / self.data)
def __rpow__(self, val):
return Tensor7(np.array(val)**self.data)
# ArrayOfTensor7
exec(array_base(Tensor7))
# ArrayOfArrayOfTensor7
# exec(array_base(ArrayOfTensor7))
lib.createTensor7.restype = c.c_void_p
lib.createTensor7.argtypes = []
lib.deleteTensor7.restype = None
lib.deleteTensor7.argtypes = [c.c_void_p]
lib.printTensor7.restype = None
lib.printTensor7.argtypes = [c.c_void_p]
lib.xmlreadTensor7.restype = c.c_long
lib.xmlreadTensor7.argtypes = [c.c_void_p, c.c_char_p]
if isinstance(other, StokesVector) and \
self.frequencies == other.frequencies and \
self.stokes == other.stokes and \
self.zeniths == other.zeniths and \
self.azimuths == other.azimuths and \
self.data == other.data:
return True
else:
return False
def __bool__(self):
return self.OK and bool(self.data)
# ArrayOfStokesVector
exec(array_base(StokesVector))
# ArrayOfArrayOfStokesVector
exec(array_base(ArrayOfStokesVector))
lib.createStokesVector.restype = c.c_void_p
lib.createStokesVector.argtypes = []
lib.deleteStokesVector.restype = None
lib.deleteStokesVector.argtypes = [c.c_void_p]
lib.printStokesVector.restype = None
lib.printStokesVector.argtypes = [c.c_void_p]
lib.xmlreadStokesVector.restype = c.c_long
lib.xmlreadStokesVector.argtypes = [c.c_void_p, c.c_char_p]
self.population == other.population and \
self.normalization == other.normalization and \
self.lineshapetype == other.lineshapetype and \
self.t0 == other.t0 and \
self.cutofffreq == other.cutofffreq and \
self.linemixinglimit == other.linemixinglimit and \
self.quantumidentity == other.quantumidentity and \
self.broadeningspecies == other.broadeningspecies and \
self.lines == other.lines:
return True
else:
return False
# Generate ArrayOfAbsorptionLines
exec(array_base(AbsorptionLines))
# Generate ArrayOfArrayOfAbsorptionLines
exec(array_base(ArrayOfAbsorptionLines))
lib.createAbsorptionLines.restype = c.c_void_p
lib.createAbsorptionLines.argtypes = []
lib.deleteAbsorptionLines.restype = None
lib.deleteAbsorptionLines.argtypes = [c.c_void_p]
lib.printAbsorptionLines.restype = None
lib.printAbsorptionLines.argtypes = [c.c_void_p]
lib.xmlreadAbsorptionLines.restype = c.c_long
lib.xmlreadAbsorptionLines.argtypes = [c.c_void_p, c.c_char_p]
if isinstance(other, AbsorptionSingleLine) and \
(self.f0 == other.f0 or (isnan(self.f0 and isnan(other.f0)))) and \
(self.i0 == other.i0 or (isnan(self.i0 and isnan(other.i0)))) and \
(self.e0 == other.e0 or (isnan(self.e0 and isnan(other.e0)))) and \
(self.gl == other.gl or (isnan(self.gl and isnan(other.gl)))) and \
(self.gu == other.gu or (isnan(self.gu and isnan(other.gu)))) and \
(self.a == other.a or (isnan(self.a and isnan(other.a)))) and \
self.zeeman == other.zeeman and \
self.lsm == other.lsm and \
self.localquanta == other.localquanta:
return True
else:
return False
exec(array_base(AbsorptionSingleLine))
lib.createAbsorptionSingleLine.restype = c.c_void_p
lib.createAbsorptionSingleLine.argtypes = []
lib.deleteAbsorptionSingleLine.restype = None
lib.deleteAbsorptionSingleLine.argtypes = [c.c_void_p]
lib.printAbsorptionSingleLine.restype = None
lib.printAbsorptionSingleLine.argtypes = [c.c_void_p]
VoidStructGetterCAPI(lib, "AbsorptionSingleLine", "F0")
VoidStructGetterCAPI(lib, "AbsorptionSingleLine", "I0")
VoidStructGetterCAPI(lib, "AbsorptionSingleLine", "E0")
VoidStructGetterCAPI(lib, "AbsorptionSingleLine", "glow")
VoidStructGetterCAPI(lib, "AbsorptionSingleLine", "gupp")
def __eq__(self, other):
return self.val == str(other)
def __iadd__(self, val):
self.val += str(val)
return self
def __add__(self, val):
return String(self.val + str(val))
def __radd__(self, val):
return String(str(val) + self.val)
exec(array_base(Index))
exec(array_base(ArrayOfIndex))
exec(array_base(String))
exec(array_base(ArrayOfString))
lib.createIndex.restype = c.c_void_p
lib.createIndex.argtypes = []
lib.deleteIndex.restype = None
lib.deleteIndex.argtypes = [c.c_void_p]
lib.printIndex.restype = None
lib.printIndex.argtypes = [c.c_void_p]
if isinstance(other, SingleScatteringData) and \
self.ptype == other.ptype and \
self.description == other.description and \
self.f_grid == other.f_grid and \
self.T_grid == other.T_grid and \
self.za_grid == other.za_grid and \
self.aa_grid == other.aa_grid and \
self.pha_mat_data == other.pha_mat_data and \
self.ext_mat_data == other.ext_mat_data and \
self.abs_vec_data == other.abs_vec_data:
return True
else:
return False
exec(array_base(SingleScatteringData))
exec(array_base(ArrayOfSingleScatteringData))
lib.createSingleScatteringData.restype = c.c_void_p
lib.createSingleScatteringData.argtypes = []
lib.deleteSingleScatteringData.restype = None
lib.deleteSingleScatteringData.argtypes = [c.c_void_p]
lib.printSingleScatteringData.restype = None
lib.printSingleScatteringData.argtypes = [c.c_void_p]
lib.xmlreadSingleScatteringData.restype = c.c_long
lib.xmlreadSingleScatteringData.argtypes = [c.c_void_p, c.c_char_p]
def __rmul__(self, val):
return Vector(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Vector(np.array(val) / self.data)
def __rpow__(self, val):
return Vector(np.array(val) ** self.data)
# ArrayOfVector
exec(array_base(Vector))
# ArrayOfArrayOfVector
exec(array_base(ArrayOfVector))
lib.createVector.restype = c.c_void_p
lib.createVector.argtypes = []
lib.deleteVector.restype = None
lib.deleteVector.argtypes = [c.c_void_p]
lib.printVector.restype = None
lib.printVector.argtypes = [c.c_void_p]
def __eq__(self, other):
if isinstance(other, SpeciesTag) and \
self.type == other.type and \
self.spec == other.spec and \
self.isot == other.isot and \
self.cia_second == other.cia_second and \
self.cia_dataset == other.cia_dataset and \
self.lf == other.lf and \
self.uf == other.uf:
return True
else:
return False
# Generate ArrayOfSpeciesTag
exec(array_base(SpeciesTag))
# Generate ArrayOfArrayOfSpeciesTag
exec(array_base(ArrayOfSpeciesTag))
lib.createSpeciesTag.restype = c.c_void_p
lib.createSpeciesTag.argtypes = []
lib.deleteSpeciesTag.restype = None
lib.deleteSpeciesTag.argtypes = [c.c_void_p]
lib.printSpeciesTag.restype = None
lib.printSpeciesTag.argtypes = [c.c_void_p]
if isinstance(other, Time):
return other.sec - self.sec
else:
return Time(self.sec - other)
def todatetime(self):
""" Return self as datetime """
return datetime.fromtimestamp(self.sec)
def fromdatetime(self, dt: datetime):
""" Sets self from datetime """
self.sec = dt.timestamp()
# ArrayOfTime
exec(array_base(Time))
def TimeGrid(ts):
""" Return an array of datetimes from an ArrayOfTime or list of Time
Helps to make calls to matplotlib look decent
Example:
>>> import numpy as np
>>> import matplotlib.pyplot as plt
>>> ts = [Time.now() + 3600*i for i in range(60*24)] # Hourly time stamps for 60 days from now
>>> y = [np.sin(4*np.pi * t.sec / (3600*60*24)) for t in ts] # 2 Waves
>>> plt.plot(TimeGrid(ts), y), plt.gcf().autofmt_xdate() # Formatted plots
Input:
def __rmul__(self, val):
return Tensor4(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Tensor4(np.array(val) / self.data)
def __rpow__(self, val):
return Tensor4(np.array(val)**self.data)
# ArrayOfTensor4
exec(array_base(Tensor4))
# ArrayOfArrayOfTensor4
# exec(array_base(ArrayOfTensor4))
lib.createTensor4.restype = c.c_void_p
lib.createTensor4.argtypes = []
lib.deleteTensor4.restype = None
lib.deleteTensor4.argtypes = [c.c_void_p]
lib.printTensor4.restype = None
lib.printTensor4.argtypes = [c.c_void_p]
lib.xmlreadTensor4.restype = c.c_long
lib.xmlreadTensor4.argtypes = [c.c_void_p, c.c_char_p]
if isinstance(
other,
GridPos) and self.idx == other.idx and self.fd == other.fd:
return True
else:
return False
@property
def OK(self):
return bool(self)
def __bool__(self):
return self.idx >= 0
exec(array_base(GridPos))
lib.createGridPos.restype = c.c_void_p
lib.createGridPos.argtypes = []
lib.deleteGridPos.restype = None
lib.deleteGridPos.argtypes = [c.c_void_p]
lib.printGridPos.restype = None
lib.printGridPos.argtypes = [c.c_void_p]
lib.xmlreadGridPos.restype = c.c_long
lib.xmlreadGridPos.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveGridPos.restype = c.c_long
lib.xmlsaveGridPos.argtypes = [c.c_void_p, c.c_char_p, c.c_long, c.c_long]
if isinstance(other, PropagationMatrix) and \
self.frequencies == other.frequencies and \
self.stokes == other.stokes and \
self.zeniths == other.zeniths and \
self.azimuths == other.azimuths and \
self.data == other.data:
return True
else:
return False
def __bool__(self):
return self.OK and bool(self.data)
# ArrayOfPropagationMatrix
exec(array_base(PropagationMatrix))
# ArrayOfArrayOfPropagationMatrix
exec(array_base(ArrayOfPropagationMatrix))
lib.createPropagationMatrix.restype = c.c_void_p
lib.createPropagationMatrix.argtypes = []
lib.deletePropagationMatrix.restype = None
lib.deletePropagationMatrix.argtypes = [c.c_void_p]
lib.printPropagationMatrix.restype = None
lib.printPropagationMatrix.argtypes = [c.c_void_p]
lib.xmlreadPropagationMatrix.restype = c.c_long
lib.xmlreadPropagationMatrix.argtypes = [c.c_void_p, c.c_char_p]
def __rmul__(self, val):
return Tensor6(np.array(val) * self.data)
def __rmatmul__(self, val):
return np.array(val) @ self.data
def __rtruediv__(self, val):
return Tensor6(np.array(val) / self.data)
def __rpow__(self, val):
return Tensor6(np.array(val) ** self.data)
# ArrayOfTensor6
exec(array_base(Tensor6))
# ArrayOfArrayOfTensor6
exec(array_base(ArrayOfTensor6))
lib.createTensor6.restype = c.c_void_p
lib.createTensor6.argtypes = []
lib.deleteTensor6.restype = None
lib.deleteTensor6.argtypes = [c.c_void_p]
lib.printTensor6.restype = None
lib.printTensor6.argtypes = [c.c_void_p]
def __eq__(self, other):
if isinstance(other, ScatteringMetaData) and \
self.description == other.description and \
self.source == other.source and \
self.refr_index == other.refr_index and \
self.mass == other.mass and \
self.diameter_max == other.diameter_max and \
self.diameter_volume_equ == other.diameter_volume_equ and \
self.diameter_area_equ_aerodynamical == other.diameter_area_equ_aerodynamical:
return True
else:
return False
exec(array_base(ScatteringMetaData))
exec(array_base(ArrayOfScatteringMetaData))
lib.createScatteringMetaData.restype = c.c_void_p
lib.createScatteringMetaData.argtypes = []
lib.deleteScatteringMetaData.restype = None
lib.deleteScatteringMetaData.argtypes = [c.c_void_p]
lib.printScatteringMetaData.restype = None
lib.printScatteringMetaData.argtypes = [c.c_void_p]
lib.xmlreadScatteringMetaData.restype = c.c_long
lib.xmlreadScatteringMetaData.argtypes = [c.c_void_p, c.c_char_p]
Input:
file:
Filename to writable file (str)
type:
Filetype (str)
clobber:
Allow clobbering files? (any boolean)
"""
if lib.xmlsaveAgenda(self.__data__,
*correct_save_arguments(file, type, clobber)):
raise OSError("Cannot save {}".format(file))
exec(array_base(Agenda))
lib.createAgenda.restype = c.c_void_p
lib.createAgenda.argtypes = []
lib.deleteAgenda.restype = None
lib.deleteAgenda.argtypes = [c.c_void_p]
lib.printAgenda.restype = None
lib.printAgenda.argtypes = [c.c_void_p]
lib.xmlreadAgenda.restype = c.c_long
lib.xmlreadAgenda.argtypes = [c.c_void_p, c.c_char_p]
lib.xmlsaveAgenda.restype = c.c_long
lib.xmlsaveAgenda.argtypes = [c.c_void_p, c.c_char_p, c.c_long, c.c_long]
def __eq__(self, other):
if isinstance(other, GriddedField3) and \
self.fieldname == other.fieldname and \
self.gridnames == other.gridnames and \
self.grids == other.grids and \
self.data == other.data:
return True
else:
return False
def __bool__(self):
return bool(self.data)
exec(array_base(GriddedField3))
exec(array_base(ArrayOfGriddedField3))
lib.createGriddedField3.restype = c.c_void_p
lib.createGriddedField3.argtypes = []
lib.deleteGriddedField3.restype = None
lib.deleteGriddedField3.argtypes = [c.c_void_p]
lib.printGriddedField3.restype = None
lib.printGriddedField3.argtypes = [c.c_void_p]
lib.xmlreadGriddedField3.restype = c.c_long
lib.xmlreadGriddedField3.argtypes = [c.c_void_p, c.c_char_p]
lib.printSpecies.argtypes = [c.c_void_p]
lib.getSpeciesShortName.restype = c.c_void_p
lib.getSpeciesShortName.argtypes = [c.c_void_p]
lib.setSpeciesShortName.restype = c.c_int
lib.setSpeciesShortName.argtypes = [c.c_void_p, c.c_void_p]
lib.getSpeciesLongName.restype = c.c_void_p
lib.getSpeciesLongName.argtypes = [c.c_void_p]
lib.setSpeciesLongName.restype = c.c_int
lib.setSpeciesLongName.argtypes = [c.c_void_p, c.c_void_p]
# Generate ArrayOfSpecies
exec(array_base(Species))
class SpeciesIsotopeRecord:
""" ARTS isotopologues
Properties:
spec:
Species species (const Species)
isotname:
Species isotopologue (const String)
mass:
Mass of isotope (const Numeric)
Requires that spec_ind >= 0
"""
if lib.xmlsaveRadiationVector(
self.__data__, *correct_save_arguments(file, type, clobber)):
raise OSError("Cannot save {}".format(file))
def __eq__(self, other):
if isinstance(other, Sized) and len(other) == len(self):
for i in range(len(self)):
if (self[i] != other[i]).any():
return False
return True
else:
return False
exec(array_base(RadiationVector))
exec(array_base(ArrayOfRadiationVector))
lib.createRadiationVector.restype = c.c_void_p
lib.createRadiationVector.argtypes = []
lib.deleteRadiationVector.restype = None
lib.deleteRadiationVector.argtypes = [c.c_void_p]
lib.printRadiationVector.restype = None
lib.printRadiationVector.argtypes = [c.c_void_p]
lib.xmlreadRadiationVector.restype = c.c_long
lib.xmlreadRadiationVector.argtypes = [c.c_void_p, c.c_char_p]
