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gem/oq-engine
openquake/hazardlib/gsim/bindi_2017.py
BindiEtAl2017Rjb._get_distance_scaling
def _get_distance_scaling(self, C, dists, mag): """ Implements the distance scaling function F(M, R) presented in equations 2 and 3. In the case of Joyner-Boore distance then the fixed-depth term h is required """ r_h = self._get_rh(C, dists) return (C["c1"] + C["...
python
def _get_distance_scaling(self, C, dists, mag): r_h = self._get_rh(C, dists) return (C["c1"] + C["c2"] * (mag - self.CONSTANTS["mref"])) *\ np.log(r_h / self.CONSTANTS["rref"]) +\ C["c3"] * (r_h - self.CONSTANTS["rref"])
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Implements the distance scaling function F(M, R) presented in equations 2 and 3. In the case of Joyner-Boore distance then the fixed-depth term h is required
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gem/oq-engine
openquake/hazardlib/gsim/munson_thurber_1997.py
MunsonThurber1997.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ # Distance term R = np.sqrt(dists.rjb ** 2 + 11.29 ** 2) ...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): R = np.sqrt(dists.rjb ** 2 + 11.29 ** 2) M = rup.mag - 6 S = np.zeros(R.shape) S[sites.vs30 <= 200] = 1 mean = (0.518 + 0.387*M - np.log10(R) -...
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gem/oq-engine
openquake/hazardlib/gsim/munson_thurber_1997.py
MunsonThurber1997Hawaii.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ # assign constant log10e = np.log10(np.e) # Distance...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): log10e = np.log10(np.e) R = np.sqrt(dists.rjb ** 2 + 11.29 ** 2) M = rup.mag - 6 S = np.zeros(R.shape) S[sites.vs30 <= 200] = 1 ...
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ # extracting dictionary of coefficients specific to required #...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): C = self.COEFFS[imt] imean = (self._compute_magnitude(rup, C) + self._compute_distance(rup, dists, C) + self._get_site_amplification(sites, C) + self._comp...
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013._compute_distance
def _compute_distance(self, rup, dists, C): """ equation 3 pag 1960: ``c31 * logR + c32 * (R-Rref)`` """ rref = 1.0 c31 = -1.7 return (c31 * np.log10(dists.rhypo) + C['c32'] * (dists.rhypo - rref))
python
def _compute_distance(self, rup, dists, C): rref = 1.0 c31 = -1.7 return (c31 * np.log10(dists.rhypo) + C['c32'] * (dists.rhypo - rref))
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equation 3 pag 1960: ``c31 * logR + c32 * (R-Rref)``
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013._compute_magnitude
def _compute_magnitude(self, rup, C): """ equation 3 pag 1960: c1 + c2(M-5.5) """ m_h = 5.5 return C['c1'] + (C['c2'] * (rup.mag - m_h))
python
def _compute_magnitude(self, rup, C): m_h = 5.5 return C['c1'] + (C['c2'] * (rup.mag - m_h))
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equation 3 pag 1960: c1 + c2(M-5.5)
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013._get_site_amplification
def _get_site_amplification(self, sites, C): """ Compute the fourth term of the equation 3: The functional form Fs in Eq. (1) represents the site amplification and it is given by FS = c61*S + c62*SS , where c61 and c62 are the coefficients to be determined through the regression ...
python
def _get_site_amplification(self, sites, C): S, SS = self._get_site_type_dummy_variables(sites) return (C['c61'] * S) + (C['c62'] * SS)
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Compute the fourth term of the equation 3: The functional form Fs in Eq. (1) represents the site amplification and it is given by FS = c61*S + c62*SS , where c61 and c62 are the coefficients to be determined through the regression analysis, while S and SS are dummy variables used to deno...
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013._get_site_type_dummy_variables
def _get_site_type_dummy_variables(self, sites): """ Get site type dummy variables, three different site classes, based on the shear wave velocity intervals in the uppermost 30 m, Vs30, according to the NEHRP: class A-B: Vs30 > 760 m/s class C: Vs30 = 360 − 760 m/s ...
python
def _get_site_type_dummy_variables(self, sites): S = np.zeros(len(sites.vs30)) SS = np.zeros(len(sites.vs30)) idx = (sites.vs30 < 360.0) SS[idx] = 1.0 idx = (sites.vs30 >= 360.0) & (sites.vs30 < 760) S[idx] = 1.0 return S, SS
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gem/oq-engine
openquake/hazardlib/gsim/skarlatoudis_2013.py
SkarlatoudisEtAlSSlab2013._compute_forearc_backarc_term
def _compute_forearc_backarc_term(self, C, sites, dists, rup): """ Compute back-arc term of Equation 3 """ # flag 1 (R < 335 & R >= 205) flag1 = np.zeros(len(dists.rhypo)) ind1 = np.logical_and((dists.rhypo < 335), (dists.rhypo >= 205)) flag1[ind1] = 1.0 ...
python
def _compute_forearc_backarc_term(self, C, sites, dists, rup): flag1 = np.zeros(len(dists.rhypo)) ind1 = np.logical_and((dists.rhypo < 335), (dists.rhypo >= 205)) flag1[ind1] = 1.0 flag2 = np.zeros(len(dists.rhypo)) ind2 = (dists.rhypo >= 335) f...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
AmplificationTable._build_data
def _build_data(self, amplification_group): """ Creates the numpy array tables from the hdf5 tables """ # Determine shape of the tables n_levels = len(amplification_group) # Checks the first group in the amplification group and returns the # shape of the SA array ...
python
def _build_data(self, amplification_group): n_levels = len(amplification_group) level = next(iter(amplification_group)) n_d, n_p, n_m = amplification_group[level]["IMLs/SA"].shape assert n_d == len(self.distances), (n_d, len(self.distances)) ...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
AmplificationTable.get_amplification_factors
def get_amplification_factors(self, imt, sctx, rctx, dists, stddev_types): """ Returns the amplification factors for the given rupture and site conditions. :param imt: Intensity measure type as an instance of the :class: `openquake.hazardlib.imt` :param s...
python
def get_amplification_factors(self, imt, sctx, rctx, dists, stddev_types): dist_level_table = self.get_mean_table(imt, rctx) sigma_tables = self.get_sigma_tables(imt, rctx, stddev_types) mean_interpolator = interp1d(self.values, numpy.log10(dist_leve...
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Returns the amplification factors for the given rupture and site conditions. :param imt: Intensity measure type as an instance of the :class: `openquake.hazardlib.imt` :param sctx: SiteCollection instance :param rctx: Rupture instance ...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
AmplificationTable.get_mean_table
def get_mean_table(self, imt, rctx): """ Returns amplification factors for the mean, given the rupture and intensity measure type. :returns: amplification table as an array of [Number Distances, Number Levels] """ # Levels by Distances if ...
python
def get_mean_table(self, imt, rctx): if imt.name in 'PGA PGV': interpolator = interp1d(self.magnitudes, numpy.log10(self.mean[imt.name]), axis=2) output_table = 10.0 ** ( interpolator(rctx.mag).reshape(self.shape[0], s...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
AmplificationTable.get_sigma_tables
def get_sigma_tables(self, imt, rctx, stddev_types): """ Returns modification factors for the standard deviations, given the rupture and intensity measure type. :returns: List of standard deviation modification tables, each as an array of [Number Distances, Numbe...
python
def get_sigma_tables(self, imt, rctx, stddev_types): output_tables = [] for stddev_type in stddev_types: if imt.name in 'PGA PGV': interpolator = interp1d(self.magnitudes, self.sigma[stddev_type][imt.name], ...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable.init
def init(self, fle=None): """ Executes the preprocessing steps at the instantiation stage to read in the tables from hdf5 and hold them in memory. """ if fle is None: fname = self.kwargs.get('gmpe_table', self.GMPE_TABLE) if fname is None: ...
python
def init(self, fle=None): if fle is None: fname = self.kwargs.get('gmpe_table', self.GMPE_TABLE) if fname is None: raise ValueError('You forgot to set GMPETable.GMPE_TABLE!') elif os.path.isabs(fname): self.GMPE_TABLE = fname ...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._setup_standard_deviations
def _setup_standard_deviations(self, fle): """ Reads the standard deviation tables from hdf5 and stores them in memory :param fle: HDF5 Tables as instance of :class:`h5py.File` """ # Load in total standard deviation self.stddevs = {} self.stdde...
python
def _setup_standard_deviations(self, fle): self.stddevs = {} self.stddevs[const.StdDev.TOTAL] = hdf_arrays_to_dict(fle["Total"]) self.DEFINED_FOR_STANDARD_DEVIATION_TYPES = set( self.DEFINED_FOR_STANDARD_DEVIATION_TYPES) for stddev_type in [const.St...
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Reads the standard deviation tables from hdf5 and stores them in memory :param fle: HDF5 Tables as instance of :class:`h5py.File`
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._setup_amplification
def _setup_amplification(self, fle): """ If amplification data is specified then reads into memory and updates the required rupture and site parameters """ self.amplification = AmplificationTable(fle["Amplification"], self.m_w, ...
python
def _setup_amplification(self, fle): self.amplification = AmplificationTable(fle["Amplification"], self.m_w, self.distances) if self.amplification.element == "Sites": self.REQUIRES_SITES_...
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gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._supported_imts
def _supported_imts(self): """ Updates the list of supported IMTs from the tables """ imt_list = [] for key in self.imls: if "SA" in key: imt_list.append(imt_module.SA) elif key == "T": continue else: ...
python
def _supported_imts(self): imt_list = [] for key in self.imls: if "SA" in key: imt_list.append(imt_module.SA) elif key == "T": continue else: try: factory = getattr(imt_module, key) ...
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Updates the list of supported IMTs from the tables
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https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L382-L398
gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable.get_mean_and_stddevs
def get_mean_and_stddevs(self, sctx, rctx, dctx, imt, stddev_types): """ Returns the mean and standard deviations """ # Return Distance Tables imls = self._return_tables(rctx.mag, imt, "IMLs") # Get distance vector for the given magnitude idx = numpy.searchsorted(...
python
def get_mean_and_stddevs(self, sctx, rctx, dctx, imt, stddev_types): imls = self._return_tables(rctx.mag, imt, "IMLs") idx = numpy.searchsorted(self.m_w, rctx.mag) dists = self.distances[:, 0, idx - 1] mean = self._get_mean(imls, dctx, dists) s...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L400-L425
gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._get_mean
def _get_mean(self, data, dctx, dists): """ Returns the mean intensity measure level from the tables :param data: The intensity measure level vector for the given magnitude and IMT :param key: The distance type :param distances: The distance ve...
python
def _get_mean(self, data, dctx, dists): interpolator_mean = interp1d(dists, data, bounds_error=False, fill_value=-999.) mean = interpolator_mean(getattr(dctx, self.distance_type)) ...
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Returns the mean intensity measure level from the tables :param data: The intensity measure level vector for the given magnitude and IMT :param key: The distance type :param distances: The distance vector for the given magnitude and IMT
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L427-L452
gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._get_stddevs
def _get_stddevs(self, dists, mag, dctx, imt, stddev_types): """ Returns the total standard deviation of the intensity measure level from the tables. :param fle: HDF5 data stream as instance of :class:`h5py.File` :param distances: The distance vector for ...
python
def _get_stddevs(self, dists, mag, dctx, imt, stddev_types): stddevs = [] for stddev_type in stddev_types: if stddev_type not in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES: raise ValueError("Standard Deviation type %s not supported" % ...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L454-L480
gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable._return_tables
def _return_tables(self, mag, imt, val_type): """ Returns the vector of ground motions or standard deviations corresponding to the specific magnitude and intensity measure type. :param val_type: String indicating the type of data {"IMLs", "Total", "Inter" etc} """ ...
python
def _return_tables(self, mag, imt, val_type): if imt.name in 'PGA PGV': if val_type == "IMLs": iml_table = self.imls[imt.name][:] else: iml_table = self.stddevs[val_type][imt.name][:] n_d, n_s, n_m = iml_table.shape ...
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Returns the vector of ground motions or standard deviations corresponding to the specific magnitude and intensity measure type. :param val_type: String indicating the type of data {"IMLs", "Total", "Inter" etc}
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L482-L518
gem/oq-engine
openquake/hazardlib/gsim/gmpe_table.py
GMPETable.apply_magnitude_interpolation
def apply_magnitude_interpolation(self, mag, iml_table): """ Interpolates the tables to the required magnitude level :param float mag: Magnitude :param iml_table: Intensity measure level table """ # do not allow "mag" to exceed maximum table magni...
python
def apply_magnitude_interpolation(self, mag, iml_table): if mag > self.m_w[-1]: mag = self.m_w[-1] if mag < self.m_w[0] or mag > self.m_w[-1]: raise ValueError("Magnitude %.2f outside of supported range " "(%.2f to %.2f)" %...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/gmpe_table.py#L520-L542
gem/oq-engine
openquake/hazardlib/gsim/sadigh_1997.py
SadighEtAl1997.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ assert all(stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES ...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): assert all(stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES for stddev_type in stddev_types) is_reverse = (45 <= rup.rake <= 135) stddevs = [numpy.zeros_like(sites.vs30) ...
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train
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gem/oq-engine
openquake/hazardlib/gsim/sadigh_1997.py
SadighEtAl1997._get_mean_deep_soil
def _get_mean_deep_soil(self, mag, rake, rrup, is_reverse, imt): """ Calculate and return the mean intensity for deep soil sites. Implements an equation from table 4. """ if mag <= self.NEAR_FIELD_SATURATION_MAG: c4 = self.COEFFS_SOIL_IMT_INDEPENDENT['c4lowmag'] ...
python
def _get_mean_deep_soil(self, mag, rake, rrup, is_reverse, imt): if mag <= self.NEAR_FIELD_SATURATION_MAG: c4 = self.COEFFS_SOIL_IMT_INDEPENDENT['c4lowmag'] c5 = self.COEFFS_SOIL_IMT_INDEPENDENT['c5lowmag'] else: c4 = self.COEFFS_SOIL_IMT_INDEPENDENT['c4himag...
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train
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gem/oq-engine
openquake/hazardlib/gsim/sadigh_1997.py
SadighEtAl1997._get_mean_rock
def _get_mean_rock(self, mag, _rake, rrup, is_reverse, imt): """ Calculate and return the mean intensity for rock sites. Implements an equation from table 2. """ if mag <= self.NEAR_FIELD_SATURATION_MAG: C = self.COEFFS_ROCK_LOWMAG[imt] else: C = ...
python
def _get_mean_rock(self, mag, _rake, rrup, is_reverse, imt): if mag <= self.NEAR_FIELD_SATURATION_MAG: C = self.COEFFS_ROCK_LOWMAG[imt] else: C = self.COEFFS_ROCK_HIMAG[imt] mag = 8.5 if mag > 8.5 else mag mean = ( C['c1'] + ...
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train
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gem/oq-engine
openquake/hazardlib/gsim/sadigh_1997.py
SadighEtAl1997._get_stddev_rock
def _get_stddev_rock(self, mag, imt): """ Calculate and return total standard deviation for rock sites. Implements formulae from table 3. """ C = self.COEFFS_ROCK_STDDERR[imt] if mag > C['maxmag']: return C['maxsigma'] else: return C['sigm...
python
def _get_stddev_rock(self, mag, imt): C = self.COEFFS_ROCK_STDDERR[imt] if mag > C['maxmag']: return C['maxsigma'] else: return C['sigma0'] + C['magfactor'] * mag
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train
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gem/oq-engine
openquake/hazardlib/gsim/sadigh_1997.py
SadighEtAl1997._get_stddev_deep_soil
def _get_stddev_deep_soil(self, mag, imt): """ Calculate and return total standard deviation for deep soil sites. Implements formulae from the last column of table 4. """ # footnote from table 4 says that stderr for magnitudes over 7 # is equal to one of magnitude 7. ...
python
def _get_stddev_deep_soil(self, mag, imt): if mag > 7: mag = 7 C = self.COEFFS_SOIL[imt] return C['sigma0'] + C['magfactor'] * mag
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gem/oq-engine
openquake/commands/zip.py
zip
def zip(what, archive_zip='', risk_file=''): """ Zip into an archive one or two job.ini files with all related files """ if os.path.isdir(what): oqzip.zip_all(what) elif what.endswith('.xml') and '<logicTree' in open(what).read(512): # hack to see if the NRML file is of kind logicTre...
python
def zip(what, archive_zip='', risk_file=''): if os.path.isdir(what): oqzip.zip_all(what) elif what.endswith('.xml') and '<logicTree' in open(what).read(512): oqzip.zip_source_model(what, archive_zip) elif what.endswith('.xml') and '<exposureModel' in open(what).read(512): ...
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Zip into an archive one or two job.ini files with all related files
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gem/oq-engine
openquake/commands/reduce.py
reduce
def reduce(fname, reduction_factor): """ Produce a submodel from `fname` by sampling the nodes randomly. Supports source models, site models and exposure models. As a special case, it is also able to reduce .csv files by sampling the lines. This is a debugging utility to reduce large computations to...
python
def reduce(fname, reduction_factor): if fname.endswith('.csv'): with open(fname) as f: line = f.readline() if csv.Sniffer().has_header(line): header = line all_lines = f.readlines() else: header = None ...
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Produce a submodel from `fname` by sampling the nodes randomly. Supports source models, site models and exposure models. As a special case, it is also able to reduce .csv files by sampling the lines. This is a debugging utility to reduce large computations to small ones.
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gem/oq-engine
openquake/hmtk/faults/mfd/youngs_coppersmith.py
YoungsCoppersmithExponential.get_mfd
def get_mfd(self, slip, area, shear_modulus=30.0): ''' Calculates activity rate on the fault :param float slip: Slip rate in mm/yr :param area: Width of the fault (km) :param float shear_modulus: Shear modulus of the fault (GPa) :re...
python
def get_mfd(self, slip, area, shear_modulus=30.0): moment_rate = (shear_modulus * 1.E9) * (area * 1.E6) * (slip / 1000.) moment_mag = _scale_moment(self.mmax, in_nm=True) beta = self.b_value * log(10.) mag = np.arange(self.mmin - (self.bin_width / 2.),...
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gem/oq-engine
openquake/hmtk/faults/mfd/youngs_coppersmith.py
YoungsCoppersmithExponential.cumulative_value
def cumulative_value(self, mag_val, moment_rate, beta, moment_mag): ''' Calculates the cumulative rate of events with M > m0 using equation 11 of Youngs & Coppersmith (1985) :param float mag_val: Magnitude :param float moment_rate: Moment rate on fault (...
python
def cumulative_value(self, mag_val, moment_rate, beta, moment_mag): exponent = exp(-beta * (self.mmax - mag_val)) return (moment_rate * (D_VALUE - self.b_value) * (1. - exponent)) /\ (self.b_value * moment_mag * exponent)
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Calculates the cumulative rate of events with M > m0 using equation 11 of Youngs & Coppersmith (1985) :param float mag_val: Magnitude :param float moment_rate: Moment rate on fault (in Nm) from slip rate :param float beta: Exponent (b log(10) ...
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train
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gem/oq-engine
openquake/hmtk/faults/mfd/youngs_coppersmith.py
YoungsCoppersmithCharacteristic.get_mfd
def get_mfd(self, slip, area, shear_modulus=30.0): ''' Calculates activity rate on the fault :param float slip: Slip rate in mm/yr :param area: Area of the fault (km) :param float shear_modulus: Shear modulus of the fault (GPa) :ret...
python
def get_mfd(self, slip, area, shear_modulus=30.0): moment_rate = (shear_modulus * 1.E9) * (area * 1.E6) * (slip / 1000.) self.model = YoungsCoppersmith1985MFD.from_total_moment_rate( self.mmin - (self.bin_width / 2.), self.b_value, ...
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train
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gem/oq-engine
openquake/hazardlib/gsim/can15/sinter.py
SInterCan15Mid.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ mean = self._get_mean(sites, rup, dists, imt, stddev_types) st...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): mean = self._get_mean(sites, rup, dists, imt, stddev_types) stddevs = [np.ones(len(dists.rrup))*get_sigma(imt)] return mean, stddevs
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See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values.
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train
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gem/oq-engine
openquake/hazardlib/gsim/can15/sinter.py
SInterCan15Mid._get_mean
def _get_mean(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ # Zhao et al. 2006 - Vs30 + Rrup mean_zh06, stds1 = super().get_mean_and_...
python
def _get_mean(self, sites, rup, dists, imt, stddev_types): mean_zh06, stds1 = super().get_mean_and_stddevs(sites, rup, dists, imt, stddev_types) gmpe = AtkinsonMacias2009() mean_am09, stds2 = gmpe.get_mea...
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See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values.
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/gsim/can15/sinter.py#L58-L87
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
_find_turning_points
def _find_turning_points(mesh, tol=1.0): """ Identifies the turning points in a rectangular mesh based on the deviation in the azimuth between successive points on the upper edge. A turning point is flagged if the change in azimuth change is greater than the specified tolerance (in degrees) :pa...
python
def _find_turning_points(mesh, tol=1.0): assert isinstance(mesh, RectangularMesh) azimuths = geodetic.azimuth(mesh.lons[0, :-1], mesh.lats[0, :-1], mesh.lons[0, 1:], mesh.lats[0, 1:]) naz = len(azimuths) azim = azimuths[0] idx = [0] for i in range(1, naz...
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Identifies the turning points in a rectangular mesh based on the deviation in the azimuth between successive points on the upper edge. A turning point is flagged if the change in azimuth change is greater than the specified tolerance (in degrees) :param mesh: Mesh for downsampling as instance o...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L29-L61
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
downsample_mesh
def downsample_mesh(mesh, tol=1.0): """ Returns a mesh sampled at a lower resolution - if the difference in azimuth is larger than the specified tolerance a turn is assumed :returns: Downsampled mesh as instance of :class: openquake.hazardlib.geo.mesh.RectangularMesh """ idx = _...
python
def downsample_mesh(mesh, tol=1.0): idx = _find_turning_points(mesh, tol) if mesh.depths is not None: return RectangularMesh(lons=mesh.lons[:, idx], lats=mesh.lats[:, idx], depths=mesh.depths[:, idx]) else: return Rectangular...
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Returns a mesh sampled at a lower resolution - if the difference in azimuth is larger than the specified tolerance a turn is assumed :returns: Downsampled mesh as instance of :class: openquake.hazardlib.geo.mesh.RectangularMesh
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L64-L80
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
downsample_trace
def downsample_trace(mesh, tol=1.0): """ Downsamples the upper edge of a fault within a rectangular mesh, retaining node points only if changes in direction on the order of tol are found :returns: Downsampled edge as a numpy array of [long, lat, depth] """ idx = _find_turning_points(mes...
python
def downsample_trace(mesh, tol=1.0): idx = _find_turning_points(mesh, tol) if mesh.depths is not None: return numpy.column_stack([mesh.lons[0, idx], mesh.lats[0, idx], mesh.depths[0, idx]]) else: return numpy.column_s...
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Downsamples the upper edge of a fault within a rectangular mesh, retaining node points only if changes in direction on the order of tol are found :returns: Downsampled edge as a numpy array of [long, lat, depth]
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L83-L97
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_ry0_distance
def get_ry0_distance(self, mesh): """ Compute the minimum distance between each point of a mesh and the great circle arcs perpendicular to the average strike direction of the fault trace and passing through the end-points of the trace. :param mesh: :class:`~openquake...
python
def get_ry0_distance(self, mesh): top_edge = self.mesh[0:1] mean_strike = self.get_strike() dst1 = geodetic.distance_to_arc(top_edge.lons[0, 0], top_edge.lats[0, 0], (mean_strike + 90.) % 360, ...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L148-L180
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_rx_distance
def get_rx_distance(self, mesh): """ Compute distance between each point of mesh and surface's great circle arc. Distance is measured perpendicular to the rupture strike, from the surface projection of the updip edge of the rupture, with the down dip direction being posi...
python
def get_rx_distance(self, mesh): top_edge = self.mesh[0:1] dists = [] if top_edge.lons.shape[1] < 3: i = 0 p1 = Point( top_edge.lons[0, i], top_edge.lats[0, i], top_edge.depths[0, i] ) p2 =...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L182-L266
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_top_edge_depth
def get_top_edge_depth(self): """ Return minimum depth of surface's top edge. :returns: Float value, the vertical distance between the earth surface and the shallowest point in surface's top edge in km. """ top_edge = self.mesh[0:1] if top_edge.de...
python
def get_top_edge_depth(self): top_edge = self.mesh[0:1] if top_edge.depths is None: return 0 else: return numpy.min(top_edge.depths)
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Return minimum depth of surface's top edge. :returns: Float value, the vertical distance between the earth surface and the shallowest point in surface's top edge in km.
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L268-L280
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_area
def get_area(self): """ Compute area as the sum of the mesh cells area values. """ mesh = self.mesh _, _, _, area = mesh.get_cell_dimensions() return numpy.sum(area)
python
def get_area(self): mesh = self.mesh _, _, _, area = mesh.get_cell_dimensions() return numpy.sum(area)
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Compute area as the sum of the mesh cells area values.
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L290-L297
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_bounding_box
def get_bounding_box(self): """ Compute surface bounding box from surface mesh representation. That is extract longitudes and latitudes of mesh points and calls: :meth:`openquake.hazardlib.geo.utils.get_spherical_bounding_box` :return: A tuple of four items. These it...
python
def get_bounding_box(self): mesh = self.mesh return utils.get_spherical_bounding_box(mesh.lons, mesh.lats)
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Compute surface bounding box from surface mesh representation. That is extract longitudes and latitudes of mesh points and calls: :meth:`openquake.hazardlib.geo.utils.get_spherical_bounding_box` :return: A tuple of four items. These items represent western, eastern, nort...
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train
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gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_surface_boundaries
def get_surface_boundaries(self): """ Returns the boundaries in the same format as a multiplanar surface, with two one-element lists of lons and lats """ mesh = self.mesh lons = numpy.concatenate((mesh.lons[0, :], mesh.lons[1:, -1], ...
python
def get_surface_boundaries(self): mesh = self.mesh lons = numpy.concatenate((mesh.lons[0, :], mesh.lons[1:, -1], mesh.lons[-1, :-1][::-1], mesh.lons[:-1, 0][::-1])) lats = numpy.concate...
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Returns the boundaries in the same format as a multiplanar surface, with two one-element lists of lons and lats
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/geo/surface/base.py#L326-L340
gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_resampled_top_edge
def get_resampled_top_edge(self, angle_var=0.1): """ This methods computes a simplified representation of a fault top edge by removing the points that are not describing a change of direction, provided a certain tolerance angle. :param float angle_var: Number represe...
python
def get_resampled_top_edge(self, angle_var=0.1): mesh = self.mesh top_edge = [Point(mesh.lons[0][0], mesh.lats[0][0], mesh.depths[0][0])] for i in range(len(mesh.triangulate()[1][0]) - 1): v1 = numpy.asarray(mesh.triangulate()[1][0][i]) v2 = numpy.asarray(mesh.t...
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This methods computes a simplified representation of a fault top edge by removing the points that are not describing a change of direction, provided a certain tolerance angle. :param float angle_var: Number representing the maximum deviation (in degrees) admitted without...
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train
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gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_hypo_location
def get_hypo_location(self, mesh_spacing, hypo_loc=None): """ The method determines the location of the hypocentre within the rupture :param mesh: :class:`~openquake.hazardlib.geo.mesh.Mesh` of points :param mesh_spacing: The desired distance between two adjacent...
python
def get_hypo_location(self, mesh_spacing, hypo_loc=None): mesh = self.mesh centroid = mesh.get_middle_point() if hypo_loc is None: return centroid total_len_y = (len(mesh.depths) - 1) * mesh_spacing y_distance = hypo_loc[1] * total_len_y y_node = int...
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The method determines the location of the hypocentre within the rupture :param mesh: :class:`~openquake.hazardlib.geo.mesh.Mesh` of points :param mesh_spacing: The desired distance between two adjacent points in source's ruptures' mesh, in km. Mainly this parameter a...
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train
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gem/oq-engine
openquake/hazardlib/geo/surface/base.py
BaseSurface.get_azimuth
def get_azimuth(self, mesh): """ This method computes the azimuth of a set of points in a :class:`openquake.hazardlib.geo.mesh` instance. The reference used for the calculation of azimuth is the middle point and the strike of the rupture. The value of azimuth computed corresponds...
python
def get_azimuth(self, mesh): strike = self.get_strike() hypocenter = self.get_middle_point() azim = geodetic.azimuth(hypocenter.longitude, hypocenter.latitude, mesh.lons, mesh.lats) rel_azi = (azim - strike) % 3...
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train
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gem/oq-engine
openquake/calculators/export/risk.py
export_avg_losses
def export_avg_losses(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ dskey = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() name, value, tags = _get_data(dstore, dskey, oq.hazard_stats().items()) writer = writers.Csv...
python
def export_avg_losses(ekey, dstore): dskey = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() name, value, tags = _get_data(dstore, dskey, oq.hazard_stats().items()) writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) assets = get_assets(dstore) for tag, values in zip(tags, value.transpo...
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:param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object
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train
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gem/oq-engine
openquake/calculators/export/risk.py
export_agg_losses
def export_agg_losses(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ dskey = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() name, value, tags = _get_data(dstore, dskey, oq.hazard_stats().items()) writer = writers.Csv...
python
def export_agg_losses(ekey, dstore): dskey = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() name, value, tags = _get_data(dstore, dskey, oq.hazard_stats().items()) writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) expvalue = dstore['exposed_value'].value tagcol = dstore['assetcol/t...
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:param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object
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train
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gem/oq-engine
openquake/calculators/export/risk.py
export_avg_losses_ebrisk
def export_avg_losses_ebrisk(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ name = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() value = dstore[name].value # shape (A, L) writer = writers.CsvWriter(fmt=writers.FIVE...
python
def export_avg_losses_ebrisk(ekey, dstore): name = ekey[0] oq = dstore['oqparam'] dt = oq.loss_dt() value = dstore[name].value writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) assets = get_assets(dstore) dest = dstore.build_fname(name, 'mean', 'csv') array = numpy.zeros(len(valu...
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:param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object
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train
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gem/oq-engine
openquake/calculators/export/risk.py
export_losses_by_asset
def export_losses_by_asset(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ loss_dt = dstore['oqparam'].loss_dt(stat_dt) losses_by_asset = dstore[ekey[0]].value rlzs = dstore['csm_info'].get_rlzs_assoc().realizations assets ...
python
def export_losses_by_asset(ekey, dstore): loss_dt = dstore['oqparam'].loss_dt(stat_dt) losses_by_asset = dstore[ekey[0]].value rlzs = dstore['csm_info'].get_rlzs_assoc().realizations assets = get_assets(dstore) writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) for rlz in rlzs: loss...
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:param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object
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gem/oq-engine
openquake/calculators/export/risk.py
export_losses_by_event
def export_losses_by_event(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ oq = dstore['oqparam'] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) dest = dstore.build_fname('losses_by_event', '', 'csv') if oq.calculation_...
python
def export_losses_by_event(ekey, dstore): oq = dstore['oqparam'] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) dest = dstore.build_fname('losses_by_event', '', 'csv') if oq.calculation_mode.startswith('scenario'): dtlist = [('eid', U64)] + oq.loss_dt_list() arr = dstore['losses...
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gem/oq-engine
openquake/calculators/export/risk.py
export_losses_by_asset_npz
def export_losses_by_asset_npz(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ fname = dstore.export_path('%s.%s' % ekey) savez(fname, **dict(extract(dstore, 'losses_by_asset'))) return [fname]
python
def export_losses_by_asset_npz(ekey, dstore): fname = dstore.export_path('%s.%s' % ekey) savez(fname, **dict(extract(dstore, 'losses_by_asset'))) return [fname]
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gem/oq-engine
openquake/calculators/export/risk.py
export_maxloss_ruptures
def export_maxloss_ruptures(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ oq = dstore['oqparam'] mesh = get_mesh(dstore['sitecol']) rlzs_by_gsim = dstore['csm_info'].get_rlzs_by_gsim_grp() num_ses = oq.ses_per_logic_tree_...
python
def export_maxloss_ruptures(ekey, dstore): oq = dstore['oqparam'] mesh = get_mesh(dstore['sitecol']) rlzs_by_gsim = dstore['csm_info'].get_rlzs_by_gsim_grp() num_ses = oq.ses_per_logic_tree_path fnames = [] for loss_type in oq.loss_dt().names: ebr = getters.get_maxloss_rupture(dstor...
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gem/oq-engine
openquake/calculators/export/risk.py
export_agg_losses_ebr
def export_agg_losses_ebr(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ if 'ruptures' not in dstore: logging.warning('There are no ruptures in the datastore') return [] name, ext = export.keyfunc(ekey) agg_los...
python
def export_agg_losses_ebr(ekey, dstore): if 'ruptures' not in dstore: logging.warning('There are no ruptures in the datastore') return [] name, ext = export.keyfunc(ekey) agg_losses = dstore['losses_by_event'] has_rup_data = 'ruptures' in dstore extra_list = [('magnitude', F32),...
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gem/oq-engine
openquake/calculators/export/risk.py
export_dmg_by_event
def export_dmg_by_event(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ damage_dt = build_damage_dt(dstore, mean_std=False) dt_list = [('event_id', numpy.uint64), ('rlzi', numpy.uint16)] + [ (f, damage_dt.fields[f][0]) for ...
python
def export_dmg_by_event(ekey, dstore): damage_dt = build_damage_dt(dstore, mean_std=False) dt_list = [('event_id', numpy.uint64), ('rlzi', numpy.uint16)] + [ (f, damage_dt.fields[f][0]) for f in damage_dt.names] all_losses = dstore[ekey[0]].value events_by_rlz = group_array(dstore['events...
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gem/oq-engine
openquake/calculators/export/risk.py
get_loss_maps
def get_loss_maps(dstore, kind): """ :param dstore: a DataStore instance :param kind: 'rlzs' or 'stats' """ oq = dstore['oqparam'] name = 'loss_maps-%s' % kind if name in dstore: # event_based risk return _to_loss_maps(dstore[name].value, oq.loss_maps_dt()) name = 'loss_curves-%...
python
def get_loss_maps(dstore, kind): oq = dstore['oqparam'] name = 'loss_maps-%s' % kind if name in dstore: return _to_loss_maps(dstore[name].value, oq.loss_maps_dt()) name = 'loss_curves-%s' % kind if name in dstore: loss_curves = dstore[name] loss_maps = scien...
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gem/oq-engine
openquake/calculators/export/risk.py
get_paths
def get_paths(rlz): """ :param rlz: a logic tree realization (composite or simple) :returns: a dict {'source_model_tree_path': string, 'gsim_tree_path': string} """ dic = {} if hasattr(rlz, 'sm_lt_path'): # composite realization dic['source_model_tree_path'] = '_'.join(r...
python
def get_paths(rlz): dic = {} if hasattr(rlz, 'sm_lt_path'): dic['source_model_tree_path'] = '_'.join(rlz.sm_lt_path) dic['gsim_tree_path'] = '_'.join(rlz.gsim_lt_path) else: dic['source_model_tree_path'] = '' dic['gsim_tree_path'] = '_'.join(rlz.lt_path) return d...
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gem/oq-engine
openquake/calculators/export/risk.py
export_by_tag_csv
def export_by_tag_csv(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ token, tag = ekey[0].split('/') data = extract(dstore, token + '/' + tag) fnames = [] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) for stat, ar...
python
def export_by_tag_csv(ekey, dstore): token, tag = ekey[0].split('/') data = extract(dstore, token + '/' + tag) fnames = [] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) for stat, arr in data: tup = (ekey[0].replace('/', '-'), stat, ekey[1]) path = '%s-%s.%s' % tup f...
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gem/oq-engine
openquake/calculators/export/risk.py
export_aggregate_by_csv
def export_aggregate_by_csv(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ token, what = ekey[0].split('/', 1) aw = extract(dstore, 'aggregate/' + what) fnames = [] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) pa...
python
def export_aggregate_by_csv(ekey, dstore): token, what = ekey[0].split('/', 1) aw = extract(dstore, 'aggregate/' + what) fnames = [] writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) path = '%s.%s' % (sanitize(ekey[0]), ekey[1]) fname = dstore.export_path(path) writer.save(aw.to_table(...
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gem/oq-engine
openquake/calculators/export/risk.py
export_asset_risk_csv
def export_asset_risk_csv(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) path = '%s.%s' % (sanitize(ekey[0]), ekey[1]) fname = dstore.export_path(path) md = extract(dstore...
python
def export_asset_risk_csv(ekey, dstore): writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) path = '%s.%s' % (sanitize(ekey[0]), ekey[1]) fname = dstore.export_path(path) md = extract(dstore, 'exposure_metadata') tostr = {'taxonomy': md.taxonomy} for tagname in md.tagnames: tostr[ta...
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gem/oq-engine
openquake/calculators/export/risk.py
export_agg_risk_csv
def export_agg_risk_csv(ekey, dstore): """ :param ekey: export key, i.e. a pair (datastore key, fmt) :param dstore: datastore object """ writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) path = '%s.%s' % (sanitize(ekey[0]), ekey[1]) fname = dstore.export_path(path) writer.save(dstore['a...
python
def export_agg_risk_csv(ekey, dstore): writer = writers.CsvWriter(fmt=writers.FIVEDIGITS) path = '%s.%s' % (sanitize(ekey[0]), ekey[1]) fname = dstore.export_path(path) writer.save(dstore['agg_risk'].value, fname) return [fname]
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gem/oq-engine
openquake/engine/tools/viewlog.py
viewlog
def viewlog(calc_id, host='localhost', port=8000): """ Extract the log of the given calculation ID from the WebUI """ base_url = 'http://%s:%s/v1/calc/' % (host, port) start = 0 psize = 10 # page size try: while True: url = base_url + '%d/log/%d:%d' % (calc_id, start, st...
python
def viewlog(calc_id, host='localhost', port=8000): base_url = 'http://%s:%s/v1/calc/' % (host, port) start = 0 psize = 10 try: while True: url = base_url + '%d/log/%d:%d' % (calc_id, start, start + psize) rows = json.load(urlopen(url)) for row in rows: ...
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gem/oq-engine
openquake/hazardlib/gsim/megawati_2003.py
MegawatiEtAl2003.get_mean_and_stddevs
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): """ See :meth:`superclass method <.base.GroundShakingIntensityModel.get_mean_and_stddevs>` for spec of input and result values. """ # Check that the GSIM supports the standard deviations requested ...
python
def get_mean_and_stddevs(self, sites, rup, dists, imt, stddev_types): assert all(stddev_type in self.DEFINED_FOR_STANDARD_DEVIATION_TYPES for stddev_type in stddev_types) coe = self.COEFFS[imt] mean = (self._get_magnitude_scaling(coe, rup.mag) + ...
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gem/oq-engine
openquake/hazardlib/gsim/megawati_2003.py
MegawatiEtAl2003._get_distance_scaling
def _get_distance_scaling(self, coe, rhypo): """ Returns the distance scaling term """ return coe["a3"] * np.log(rhypo) + coe["a4"] * rhypo
python
def _get_distance_scaling(self, coe, rhypo): return coe["a3"] * np.log(rhypo) + coe["a4"] * rhypo
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gem/oq-engine
openquake/hazardlib/gsim/megawati_2003.py
MegawatiEtAl2003._get_azimuth_correction
def _get_azimuth_correction(self, coe, azimuth): """ This is the azimuth correction defined in the functional form (see equation 3 at page 2256) """ term1 = abs(np.cos(np.radians(2.*azimuth))) term2 = abs(np.sin(np.radians(2.*azimuth)))*coe['a5'] return np.log(np....
python
def _get_azimuth_correction(self, coe, azimuth): term1 = abs(np.cos(np.radians(2.*azimuth))) term2 = abs(np.sin(np.radians(2.*azimuth)))*coe['a5'] return np.log(np.max(np.hstack((term1, term2))))
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gem/oq-engine
openquake/baselib/parallel.py
get_pickled_sizes
def get_pickled_sizes(obj): """ Return the pickled sizes of an object and its direct attributes, ordered by decreasing size. Here is an example: >> total_size, partial_sizes = get_pickled_sizes(Monitor('')) >> total_size 345 >> partial_sizes [('_procs', 214), ('exc', 4), ('mem', 4), ('s...
python
def get_pickled_sizes(obj): sizes = [] attrs = getattr(obj, '__dict__', {}) for name, value in attrs.items(): sizes.append((name, len(Pickled(value)))) return len(Pickled(obj)), sorted( sizes, key=lambda pair: pair[1], reverse=True)
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Return the pickled sizes of an object and its direct attributes, ordered by decreasing size. Here is an example: >> total_size, partial_sizes = get_pickled_sizes(Monitor('')) >> total_size 345 >> partial_sizes [('_procs', 214), ('exc', 4), ('mem', 4), ('start_time', 4), ('_start_time', 4), ...
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gem/oq-engine
openquake/baselib/parallel.py
pickle_sequence
def pickle_sequence(objects): """ Convert an iterable of objects into a list of pickled objects. If the iterable contains copies, the pickling will be done only once. If the iterable contains objects already pickled, they will not be pickled again. :param objects: a sequence of objects to pickl...
python
def pickle_sequence(objects): cache = {} out = [] for obj in objects: obj_id = id(obj) if obj_id not in cache: if isinstance(obj, Pickled): cache[obj_id] = obj else: cache[obj_id] = Pickled(obj) out.append(cache[obj_id]...
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gem/oq-engine
openquake/baselib/parallel.py
check_mem_usage
def check_mem_usage(soft_percent=None, hard_percent=None): """ Display a warning if we are running out of memory """ soft_percent = soft_percent or config.memory.soft_mem_limit hard_percent = hard_percent or config.memory.hard_mem_limit used_mem_percent = psutil.virtual_memory().percent if u...
python
def check_mem_usage(soft_percent=None, hard_percent=None): soft_percent = soft_percent or config.memory.soft_mem_limit hard_percent = hard_percent or config.memory.hard_mem_limit used_mem_percent = psutil.virtual_memory().percent if used_mem_percent > hard_percent: raise MemoryError('Using ...
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gem/oq-engine
openquake/baselib/parallel.py
safely_call
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python
def safely_call(func, args, task_no=0, mon=dummy_mon): isgenfunc = inspect.isgeneratorfunction(func) if hasattr(args[0], 'unpickle'): args = [a.unpickle() for a in args] if mon is dummy_mon: assert not isgenfunc, func return Result.new(func, args, mon) mon = mon....
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gem/oq-engine
openquake/baselib/parallel.py
save_task_info
def save_task_info(self, res, mem_gb=0): """ :param self: an object with attributes .hdf5, .argnames, .sent :parent res: a :class:`Result` object :param mem_gb: memory consumption at the saving time (optional) """ mon = res.mon name = mon.operation[6:] # strip 'total ' if self.hdf5: ...
python
def save_task_info(self, res, mem_gb=0): mon = res.mon name = mon.operation[6:] if self.hdf5: mon.hdf5 = self.hdf5 t = (mon.task_no, mon.weight, mon.duration, len(res.pik), mem_gb) data = numpy.array([t], task_info_dt) hdf5.extend3(self.hdf5.filename, 'task_info/' + ...
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:param self: an object with attributes .hdf5, .argnames, .sent :parent res: a :class:`Result` object :param mem_gb: memory consumption at the saving time (optional)
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gem/oq-engine
openquake/baselib/parallel.py
init_workers
def init_workers(): """Waiting function, used to wake up the process pool""" setproctitle('oq-worker') # unregister raiseMasterKilled in oq-workers to avoid deadlock # since processes are terminated via pool.terminate() signal.signal(signal.SIGTERM, signal.SIG_DFL) # prctl is still useful (on Li...
python
def init_workers(): setproctitle('oq-worker') signal.signal(signal.SIGTERM, signal.SIG_DFL) try: import prctl except ImportError: pass else: prctl.set_pdeathsig(signal.SIGKILL)
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gem/oq-engine
openquake/baselib/parallel.py
sequential_apply
def sequential_apply(task, args, concurrent_tasks=cpu_count * 3, weight=lambda item: 1, key=lambda item: 'Unspecified'): """ Apply sequentially task to args by splitting args[0] in blocks """ chunks = split_in_blocks(args[0], concurrent_tasks or 1, weight, key) task_args = [(ch,...
python
def sequential_apply(task, args, concurrent_tasks=cpu_count * 3, weight=lambda item: 1, key=lambda item: 'Unspecified'): chunks = split_in_blocks(args[0], concurrent_tasks or 1, weight, key) task_args = [(ch,) + args[1:] for ch in chunks] return itertools.starmap(task, task_args)
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train
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gem/oq-engine
openquake/baselib/parallel.py
Result.get
def get(self): """ Returns the underlying value or raise the underlying exception """ val = self.pik.unpickle() if self.tb_str: etype = val.__class__ msg = '\n%s%s: %s' % (self.tb_str, etype.__name__, val) if issubclass(etype, KeyError): ...
python
def get(self): val = self.pik.unpickle() if self.tb_str: etype = val.__class__ msg = '\n%s%s: %s' % (self.tb_str, etype.__name__, val) if issubclass(etype, KeyError): raise RuntimeError(msg) else: raise etype(msg)...
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gem/oq-engine
openquake/baselib/parallel.py
Result.new
def new(cls, func, args, mon, count=0): """ :returns: a new Result instance """ try: with mon: val = func(*args) except StopIteration: res = Result(None, mon, msg='TASK_ENDED') except Exception: _etype, exc, tb = sys.exc...
python
def new(cls, func, args, mon, count=0): try: with mon: val = func(*args) except StopIteration: res = Result(None, mon, msg='TASK_ENDED') except Exception: _etype, exc, tb = sys.exc_info() res = Result(exc, mon, ''.join(trac...
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gem/oq-engine
openquake/baselib/parallel.py
IterResult.sum
def sum(cls, iresults): """ Sum the data transfer information of a set of results """ res = object.__new__(cls) res.received = [] res.sent = 0 for iresult in iresults: res.received.extend(iresult.received) res.sent += iresult.sent ...
python
def sum(cls, iresults): res = object.__new__(cls) res.received = [] res.sent = 0 for iresult in iresults: res.received.extend(iresult.received) res.sent += iresult.sent name = iresult.name.split(' if hasattr(res, 'name'): ...
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Sum the data transfer information of a set of results
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.apply
def apply(cls, task, args, concurrent_tasks=cpu_count * 3, maxweight=None, weight=lambda item: 1, key=lambda item: 'Unspecified', distribute=None, progress=logging.info): r""" Apply a task to a tuple of the form (sequence, \*other_args) by first splittin...
python
def apply(cls, task, args, concurrent_tasks=cpu_count * 3, maxweight=None, weight=lambda item: 1, key=lambda item: 'Unspecified', distribute=None, progress=logging.info): r arg0 = args[0] mon = args[-1] args = args[1:-1] if maxweight: ...
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r""" Apply a task to a tuple of the form (sequence, \*other_args) by first splitting the sequence in chunks, according to the weight of the elements and possibly to a key (see :func: `openquake.baselib.general.split_in_blocks`). :param task: a task to run in parallel :pa...
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.log_percent
def log_percent(self): """ Log the progress of the computation in percentage """ done = self.total - self.todo percent = int(float(done) / self.total * 100) if not hasattr(self, 'prev_percent'): # first time self.prev_percent = 0 self.progress('Se...
python
def log_percent(self): done = self.total - self.todo percent = int(float(done) / self.total * 100) if not hasattr(self, 'prev_percent'): self.prev_percent = 0 self.progress('Sent %s of data in %d %s task(s)', humansize(self.sent.sum())...
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.submit
def submit(self, *args, func=None, monitor=None): """ Submit the given arguments to the underlying task """ monitor = monitor or self.monitor func = func or self.task_func if not hasattr(self, 'socket'): # first time self.__class__.running_tasks = self.tasks ...
python
def submit(self, *args, func=None, monitor=None): monitor = monitor or self.monitor func = func or self.task_func if not hasattr(self, 'socket'): self.__class__.running_tasks = self.tasks self.socket = Socket(self.receiver, zmq.PULL, 'bind').__enter__() ...
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train
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.submit_all
def submit_all(self): """ :returns: an IterResult object """ for args in self.task_args: self.submit(*args) return self.get_results()
python
def submit_all(self): for args in self.task_args: self.submit(*args) return self.get_results()
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.get_results
def get_results(self): """ :returns: an :class:`IterResult` instance """ return IterResult(self._loop(), self.name, self.argnames, self.sent, self.monitor.hdf5)
python
def get_results(self): return IterResult(self._loop(), self.name, self.argnames, self.sent, self.monitor.hdf5)
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gem/oq-engine
openquake/baselib/parallel.py
Starmap.reduce
def reduce(self, agg=operator.add, acc=None): """ Submit all tasks and reduce the results """ return self.submit_all().reduce(agg, acc)
python
def reduce(self, agg=operator.add, acc=None): return self.submit_all().reduce(agg, acc)
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gem/oq-engine
openquake/hazardlib/gsim/can15/utils.py
_get_equivalent_distances_east
def _get_equivalent_distances_east(wid, lng, mag, repi, focal_depth=10., ab06=False): """ Computes equivalent values of Joyner-Boore and closest distance to the rupture given epoicentral distance. The procedure is described in Atkinson (2012) - Appendix A (page 32). ...
python
def _get_equivalent_distances_east(wid, lng, mag, repi, focal_depth=10., ab06=False): dtop = focal_depth - 0.5*wid if ab06: ztor_ab06 = 21-2.5*mag dtop = np.max([ztor_ab06, dtop]) ztor = max(0, dtop) dsurf = np.max([repi-0.3*lng, 0.1*np.o...
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gem/oq-engine
openquake/hazardlib/gsim/can15/utils.py
get_equivalent_distance_inslab
def get_equivalent_distance_inslab(mag, repi, hslab): """ :param float mag: Magnitude :param repi: A :class:`numpy.ndarray` instance containing repi values :param float hslab: Depth of the slab """ area = 10**(-3.225+0.89*mag) radius = (area / scipy.constants.pi)**0.5...
python
def get_equivalent_distance_inslab(mag, repi, hslab): area = 10**(-3.225+0.89*mag) radius = (area / scipy.constants.pi)**0.5 rjb = np.max([repi-radius, np.zeros_like(repi)], axis=0) rrup = (rjb**2+hslab**2)**0.5 return rjb, rrup
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gem/oq-engine
openquake/hazardlib/probability_map.py
get_shape
def get_shape(pmaps): """ :param pmaps: a set of homogenous ProbabilityMaps :returns: the common shape (N, L, I) """ for pmap in pmaps: if pmap: sid = next(iter(pmap)) break else: raise AllEmptyProbabilityMaps(pmaps) return (len(pmap),) + pmap[sid].arr...
python
def get_shape(pmaps): for pmap in pmaps: if pmap: sid = next(iter(pmap)) break else: raise AllEmptyProbabilityMaps(pmaps) return (len(pmap),) + pmap[sid].array.shape
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gem/oq-engine
openquake/hazardlib/probability_map.py
combine
def combine(pmaps): """ :param pmaps: a set of homogenous ProbabilityMaps :returns: the combined map """ shape = get_shape(pmaps) res = ProbabilityMap(shape[1], shape[2]) for pmap in pmaps: res |= pmap return res
python
def combine(pmaps): shape = get_shape(pmaps) res = ProbabilityMap(shape[1], shape[2]) for pmap in pmaps: res |= pmap return res
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https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/probability_map.py#L370-L379
gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityCurve.convert
def convert(self, imtls, idx=0): """ Convert a probability curve into a record of dtype `imtls.dt`. :param imtls: DictArray instance :param idx: extract the data corresponding to the given inner index """ curve = numpy.zeros(1, imtls.dt) for imt in imtls: ...
python
def convert(self, imtls, idx=0): curve = numpy.zeros(1, imtls.dt) for imt in imtls: curve[imt] = self.array[imtls(imt), idx] return curve[0]
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.build
def build(cls, shape_y, shape_z, sids, initvalue=0., dtype=F64): """ :param shape_y: the total number of intensity measure levels :param shape_z: the number of inner levels :param sids: a set of site indices :param initvalue: the initial value of the probability (default 0) ...
python
def build(cls, shape_y, shape_z, sids, initvalue=0., dtype=F64): dic = cls(shape_y, shape_z) for sid in sids: dic.setdefault(sid, initvalue, dtype) return dic
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:param shape_y: the total number of intensity measure levels :param shape_z: the number of inner levels :param sids: a set of site indices :param initvalue: the initial value of the probability (default 0) :returns: a ProbabilityMap dictionary
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/probability_map.py#L128-L139
gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.from_array
def from_array(cls, array, sids): """ :param array: array of shape (N, L) or (N, L, I) :param sids: array of N site IDs """ n_sites = len(sids) n = len(array) if n_sites != n: raise ValueError('Passed %d site IDs, but the array has length %d' ...
python
def from_array(cls, array, sids): n_sites = len(sids) n = len(array) if n_sites != n: raise ValueError('Passed %d site IDs, but the array has length %d' % (n_sites, n)) if len(array.shape) == 2: array = array.reshape(array.s...
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/probability_map.py#L142-L157
gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.setdefault
def setdefault(self, sid, value, dtype=F64): """ Works like `dict.setdefault`: if the `sid` key is missing, it fills it with an array and returns the associate ProbabilityCurve :param sid: site ID :param value: value used to fill the returned ProbabilityCurve :param dtyp...
python
def setdefault(self, sid, value, dtype=F64): try: return self[sid] except KeyError: array = numpy.empty((self.shape_y, self.shape_z), dtype) array.fill(value) pc = ProbabilityCurve(array) self[sid] = pc return pc
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.array
def array(self): """ The underlying array of shape (N, L, I) """ return numpy.array([self[sid].array for sid in sorted(self)])
python
def array(self): return numpy.array([self[sid].array for sid in sorted(self)])
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/hazardlib/probability_map.py#L187-L191
gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.nbytes
def nbytes(self): """The size of the underlying array""" try: N, L, I = get_shape([self]) except AllEmptyProbabilityMaps: return 0 return BYTES_PER_FLOAT * N * L * I
python
def nbytes(self): try: N, L, I = get_shape([self]) except AllEmptyProbabilityMaps: return 0 return BYTES_PER_FLOAT * N * L * I
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.convert
def convert(self, imtls, nsites, idx=0): """ Convert a probability map into a composite array of length `nsites` and dtype `imtls.dt`. :param imtls: DictArray instance :param nsites: the total number of sites :param idx: index on the z...
python
def convert(self, imtls, nsites, idx=0): curves = numpy.zeros(nsites, imtls.dt) for imt in curves.dtype.names: curves_by_imt = curves[imt] for sid in self: curves_by_imt[sid] = self[sid].array[imtls(imt), idx] return curves
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train
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.convert2
def convert2(self, imtls, sids): """ Convert a probability map into a composite array of shape (N,) and dtype `imtls.dt`. :param imtls: DictArray instance :param sids: the IDs of the sites we are interested in :returns: an array of cur...
python
def convert2(self, imtls, sids): assert self.shape_z == 1, self.shape_z curves = numpy.zeros(len(sids), imtls.dt) for imt in curves.dtype.names: curves_by_imt = curves[imt] for i, sid in numpy.ndenumerate(sids): try: pcurve = s...
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train
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.filter
def filter(self, sids): """ Extracs a submap of self for the given sids. """ dic = self.__class__(self.shape_y, self.shape_z) for sid in sids: try: dic[sid] = self[sid] except KeyError: pass return dic
python
def filter(self, sids): dic = self.__class__(self.shape_y, self.shape_z) for sid in sids: try: dic[sid] = self[sid] except KeyError: pass return dic
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train
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gem/oq-engine
openquake/hazardlib/probability_map.py
ProbabilityMap.extract
def extract(self, inner_idx): """ Extracts a component of the underlying ProbabilityCurves, specified by the index `inner_idx`. """ out = self.__class__(self.shape_y, 1) for sid in self: curve = self[sid] array = curve.array[:, inner_idx].reshape(-...
python
def extract(self, inner_idx): out = self.__class__(self.shape_y, 1) for sid in self: curve = self[sid] array = curve.array[:, inner_idx].reshape(-1, 1) out[sid] = ProbabilityCurve(array) return out
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train
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gem/oq-engine
openquake/commands/compare.py
get_diff_idxs
def get_diff_idxs(array, rtol, atol): """ Given an array with (C, N, L) values, being the first the reference value, compute the relative differences and discard the one below the tolerance. :returns: indices where there are sensible differences. """ C, N, L = array.shape diff_idxs = set() ...
python
def get_diff_idxs(array, rtol, atol): C, N, L = array.shape diff_idxs = set() for c in range(1, C): for n in range(N): if not numpy.allclose(array[c, n], array[0, n], rtol, atol): diff_idxs.add(n) return numpy.fromiter(diff_idxs, int)
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train
https://github.com/gem/oq-engine/blob/8294553a0b8aba33fd96437a35065d03547d0040/openquake/commands/compare.py#L53-L65
gem/oq-engine
openquake/commands/compare.py
compare
def compare(what, imt, calc_ids, files, samplesites=100, rtol=.1, atol=1E-4): """ Compare the hazard curves or maps of two or more calculations """ sids, imtls, poes, arrays = getdata(what, calc_ids, samplesites) try: levels = imtls[imt] except KeyError: sys.exit( '%s...
python
def compare(what, imt, calc_ids, files, samplesites=100, rtol=.1, atol=1E-4): sids, imtls, poes, arrays = getdata(what, calc_ids, samplesites) try: levels = imtls[imt] except KeyError: sys.exit( '%s not found. The available IMTs are %s' % (imt, list(imtls))) imt2idx = {i...
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gem/oq-engine
openquake/hmtk/plotting/seismicity/catalogue_plots.py
build_filename
def build_filename(filename, filetype='png', resolution=300): """ Uses the input properties to create the string of the filename :param str filename: Name of the file :param str filetype: Type of file :param int resolution: DPI resolution of the output figure """ fil...
python
def build_filename(filename, filetype='png', resolution=300): filevals = os.path.splitext(filename) if filevals[1]: filetype = filevals[1][1:] if not filetype: filetype = 'png' filename = filevals[0] + '.' + filetype if not resolution: resolution = 300 return filena...
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gem/oq-engine
openquake/hmtk/plotting/seismicity/catalogue_plots.py
_save_image
def _save_image(fig, filename, filetype='png', resolution=300): """ If filename is specified, saves the image :param str filename: Name of the file :param str filetype: Type of file :param int resolution: DPI resolution of the output figure """ if filename: fi...
python
def _save_image(fig, filename, filetype='png', resolution=300): if filename: filename, filetype, resolution = build_filename(filename, filetype, resolution) fig.savefig(filename, dpi=...
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If filename is specified, saves the image :param str filename: Name of the file :param str filetype: Type of file :param int resolution: DPI resolution of the output figure
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gem/oq-engine
openquake/hmtk/plotting/seismicity/catalogue_plots.py
_get_catalogue_bin_limits
def _get_catalogue_bin_limits(catalogue, dmag): """ Returns the magnitude bins corresponing to the catalogue """ mag_bins = np.arange( float(np.floor(np.min(catalogue.data['magnitude']))) - dmag, float(np.ceil(np.max(catalogue.data['magnitude']))) + dmag, dmag) counter = np.h...
python
def _get_catalogue_bin_limits(catalogue, dmag): mag_bins = np.arange( float(np.floor(np.min(catalogue.data['magnitude']))) - dmag, float(np.ceil(np.max(catalogue.data['magnitude']))) + dmag, dmag) counter = np.histogram(catalogue.data['magnitude'], mag_bins)[0] idx = np.where(co...
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Returns the magnitude bins corresponing to the catalogue
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train
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