threeML.utils package

Subpackages

• threeML.utils.OGIP package
  • Submodules
    • threeML.utils.OGIP.pha module
      • PHAII
        • PHAII.from_fits_file()
        • PHAII.from_time_series()
        • PHAII.instrument
      • PHAWrite
        • PHAWrite.write()
      • SPECTRUM
    • threeML.utils.OGIP.response module
      • EBOUNDS
      • GapInCoverageIntervals
      • InstrumentResponse
        • InstrumentResponse.arf_filename
        • InstrumentResponse.clone()
        • InstrumentResponse.convolve()
        • InstrumentResponse.coverage_interval
        • InstrumentResponse.create_dummy_response()
        • InstrumentResponse.ebounds
        • InstrumentResponse.energy_to_channel()
        • InstrumentResponse.first_channel
        • InstrumentResponse.matrix
        • InstrumentResponse.monte_carlo_energies
        • InstrumentResponse.plot_matrix()
        • InstrumentResponse.replace_matrix()
        • InstrumentResponse.rsp_filename
        • InstrumentResponse.set_function()
        • InstrumentResponse.to_fits()
      • InstrumentResponseSet
        • InstrumentResponseSet.ebounds
        • InstrumentResponseSet.from_rsp2_file()
        • InstrumentResponseSet.monte_carlo_energies
        • InstrumentResponseSet.reference_time
        • InstrumentResponseSet.weight_by_counts()
        • InstrumentResponseSet.weight_by_exposure()
      • IntervalOfInterestNotCovered
      • MATRIX
      • NoCoverageIntervals
      • NoMatrixForInterval
      • NonContiguousCoverageIntervals
      • OGIPResponse
        • OGIPResponse.arf
        • OGIPResponse.arf_filename
        • OGIPResponse.first_channel
        • OGIPResponse.rmf
        • OGIPResponse.rsp_filename
      • RMF
      • RSP
      • SPECRESP_MATRIX
  • Module contents
• threeML.utils.data_builders package
  • Subpackages
    • threeML.utils.data_builders.fermi package
      • Submodules
        • threeML.utils.data_builders.fermi.gbm_data module
          • GBMCdata
            • GBMCdata.det_name
            • GBMCdata.energies
            • GBMCdata.mission
            • GBMCdata.n_channels
            • GBMCdata.trigger_time
            • GBMCdata.tstart
            • GBMCdata.tstop
          • GBMTTEFile
            • GBMTTEFile.arrival_times
            • GBMTTEFile.deadtime
            • GBMTTEFile.det_name
            • GBMTTEFile.energies
            • GBMTTEFile.mission
            • GBMTTEFile.n_channels
            • GBMTTEFile.trigger_time
            • GBMTTEFile.tstart
            • GBMTTEFile.tstop
        • threeML.utils.data_builders.fermi.lat_data module
          • LLEFile
            • LLEFile.arrival_times
            • LLEFile.energies
            • LLEFile.energy_edges
            • LLEFile.instrument
            • LLEFile.is_in_gti()
            • LLEFile.livetime
            • LLEFile.livetime_start
            • LLEFile.livetime_stop
            • LLEFile.mission
            • LLEFile.n_channels
            • LLEFile.trigger_time
            • LLEFile.tstart
            • LLEFile.tstop
        • threeML.utils.data_builders.fermi.lat_transient_builder module
          • LATLikelihoodParameter
            • LATLikelihoodParameter.display()
            • LATLikelihoodParameter.get_disp_value()
            • LATLikelihoodParameter.is_set
            • LATLikelihoodParameter.name
            • LATLikelihoodParameter.value
          • LATObservation
            • LATObservation.event_file
            • LATObservation.exposure_map
            • LATObservation.ft2_file
            • LATObservation.liketype
            • LATObservation.livetime_cube
            • LATObservation.to_LATLike()
            • LATObservation.triggername
            • LATObservation.tstart
            • LATObservation.tstop
          • TransientLATDataBuilder
            • TransientLATDataBuilder.display()
            • TransientLATDataBuilder.from_saved_configuration()
            • TransientLATDataBuilder.run()
            • TransientLATDataBuilder.save_configuration()
            • TransientLATDataBuilder.to_LATLike()
        • threeML.utils.data_builders.fermi.test module
      • Module contents
  • Submodules
    • threeML.utils.data_builders.time_series_builder module
      • BinningMethodError
      • TimeSeriesBuilder
        • TimeSeriesBuilder.background_counts_per_interval
        • TimeSeriesBuilder.background_poly_order
        • TimeSeriesBuilder.bins
        • TimeSeriesBuilder.create_time_bins()
        • TimeSeriesBuilder.fit_polynomial()
        • TimeSeriesBuilder.from_gbm_cspec_or_ctime()
        • TimeSeriesBuilder.from_gbm_tte()
        • TimeSeriesBuilder.from_konus_pha()
        • TimeSeriesBuilder.from_lat_lle()
        • TimeSeriesBuilder.from_phaII()
        • TimeSeriesBuilder.from_polar_polarization()
        • TimeSeriesBuilder.from_polar_spectrum()
        • TimeSeriesBuilder.get_background_parameters()
        • TimeSeriesBuilder.read_bins()
        • TimeSeriesBuilder.save_background()
        • TimeSeriesBuilder.set_active_time_interval()
        • TimeSeriesBuilder.set_background_interval()
        • TimeSeriesBuilder.significance_per_interval
        • TimeSeriesBuilder.time_series
        • TimeSeriesBuilder.to_polarlike()
        • TimeSeriesBuilder.to_spectrumlike()
        • TimeSeriesBuilder.total_counts_per_interval
        • TimeSeriesBuilder.tstart
        • TimeSeriesBuilder.tstop
        • TimeSeriesBuilder.view_lightcurve()
        • TimeSeriesBuilder.write_pha_from_binner()
  • Module contents
    • TimeSeriesBuilder
      • TimeSeriesBuilder.background_counts_per_interval
      • TimeSeriesBuilder.background_poly_order
      • TimeSeriesBuilder.bins
      • TimeSeriesBuilder.create_time_bins()
      • TimeSeriesBuilder.fit_polynomial()
      • TimeSeriesBuilder.from_gbm_cspec_or_ctime()
      • TimeSeriesBuilder.from_gbm_tte()
      • TimeSeriesBuilder.from_konus_pha()
      • TimeSeriesBuilder.from_lat_lle()
      • TimeSeriesBuilder.from_phaII()
      • TimeSeriesBuilder.from_polar_polarization()
      • TimeSeriesBuilder.from_polar_spectrum()
      • TimeSeriesBuilder.get_background_parameters()
      • TimeSeriesBuilder.read_bins()
      • TimeSeriesBuilder.save_background()
      • TimeSeriesBuilder.set_active_time_interval()
      • TimeSeriesBuilder.set_background_interval()
      • TimeSeriesBuilder.significance_per_interval
      • TimeSeriesBuilder.time_series
      • TimeSeriesBuilder.to_polarlike()
      • TimeSeriesBuilder.to_spectrumlike()
      • TimeSeriesBuilder.total_counts_per_interval
      • TimeSeriesBuilder.tstart
      • TimeSeriesBuilder.tstop
      • TimeSeriesBuilder.view_lightcurve()
      • TimeSeriesBuilder.write_pha_from_binner()
    • TransientLATDataBuilder
      • TransientLATDataBuilder.display()
      • TransientLATDataBuilder.from_saved_configuration()
      • TransientLATDataBuilder.run()
      • TransientLATDataBuilder.save_configuration()
      • TransientLATDataBuilder.to_LATLike()
• threeML.utils.data_download package
  • Subpackages
    • threeML.utils.data_download.Fermi_GBM package
      • Submodules
        • threeML.utils.data_download.Fermi_GBM.download_GBM_data module
          • cleanup_downloaded_GBM_data()
          • download_GBM_daily_data()
          • download_GBM_trigger_data()
      • Module contents
    • threeML.utils.data_download.Fermi_LAT package
      • Submodules
        • threeML.utils.data_download.Fermi_LAT.download_LAT_data module
          • DivParser
            • DivParser.handle_data()
            • DivParser.handle_endtag()
            • DivParser.handle_starttag()
          • LAT_dataset
            • LAT_dataset.extract_events()
            • LAT_dataset.make_LAT_dataset()
          • download_LAT_data()
          • merge_LAT_data()
        • threeML.utils.data_download.Fermi_LAT.download_LLE_data module
          • cleanup_downloaded_LLE_data()
          • download_LLE_trigger_data()
      • Module contents
  • Module contents
• threeML.utils.fitted_objects package
  • Submodules
    • threeML.utils.fitted_objects.fitted_point_sources module
      • DifferentialFluxConversion
      • FittedPointSourceSpectralHandler
        • FittedPointSourceSpectralHandler.components
        • FittedPointSourceSpectralHandler.is_dimensionless
      • FluxConversion
        • FluxConversion.conversion_factor
        • FluxConversion.is_dimensionless
        • FluxConversion.model
      • IntegralFluxConversion
      • InvalidUnitError
      • NotCompositeModelError
      • trap_integral()
    • threeML.utils.fitted_objects.fitted_source_handler module
      • GenericFittedSourceHandler
        • GenericFittedSourceHandler.average
        • GenericFittedSourceHandler.lower_error
        • GenericFittedSourceHandler.median
        • GenericFittedSourceHandler.samples
        • GenericFittedSourceHandler.update_tag()
        • GenericFittedSourceHandler.upper_error
        • GenericFittedSourceHandler.values
      • VariatesContainer
        • VariatesContainer.average
        • VariatesContainer.lower_error
        • VariatesContainer.median
        • VariatesContainer.samples
        • VariatesContainer.upper_error
        • VariatesContainer.values
      • transform()
  • Module contents
• threeML.utils.photometry package
  • Submodules
    • threeML.utils.photometry.filter_library module
      • FilterLibrary
        • FilterLibrary.instruments
      • ObservatoryNode
      • get_photometric_filter_library()
      • get_speclite_filter_library()
      • get_speclite_filter_path()
    • threeML.utils.photometry.filter_set module
      • FilterSet
        • FilterSet.ab_magnitudes()
        • FilterSet.effective_wavelength
        • FilterSet.filter_names
        • FilterSet.n_bands
        • FilterSet.native_filter_names
        • FilterSet.plot_filters()
        • FilterSet.set_model()
        • FilterSet.speclite_filters
        • FilterSet.wavelength_bounds
        • FilterSet.waveunits
      • NotASpeclikeFilter
    • threeML.utils.photometry.photometric_observation module
      • PhotometericObservation
        • PhotometericObservation.from_dict()
        • PhotometericObservation.from_hdf5()
        • PhotometericObservation.from_kwargs()
        • PhotometericObservation.get_mask_from_filter_sequence()
        • PhotometericObservation.is_compatible_with_filter_set()
        • PhotometericObservation.items()
        • PhotometericObservation.keys()
        • PhotometericObservation.to_hdf5()
  • Module contents
• threeML.utils.polarization package
  • Submodules
    • threeML.utils.polarization.binned_polarization module
      • BinnedModulationCurve
        • BinnedModulationCurve.INTERVAL_TYPE
        • BinnedModulationCurve.abounds
        • BinnedModulationCurve.clone()
        • BinnedModulationCurve.from_time_series()
      • ScatteringChannel
        • ScatteringChannel.channel_width
      • ScatteringChannelSet
        • ScatteringChannelSet.INTERVAL_TYPE
        • ScatteringChannelSet.channels_widths
        • ScatteringChannelSet.from_instrument_response()
  • Module contents
• threeML.utils.spectrum package
  • Submodules
    • threeML.utils.spectrum.binned_spectrum module
      • BinnedSpectrum
        • BinnedSpectrum.INTERVAL_TYPE
        • BinnedSpectrum.add_inverse_variance_weighted()
        • BinnedSpectrum.clone()
        • BinnedSpectrum.count_errors
        • BinnedSpectrum.counts
        • BinnedSpectrum.exposure
        • BinnedSpectrum.from_pandas()
        • BinnedSpectrum.from_time_series()
        • BinnedSpectrum.instrument
        • BinnedSpectrum.is_poisson
        • BinnedSpectrum.mission
        • BinnedSpectrum.n_channel
        • BinnedSpectrum.n_channels
        • BinnedSpectrum.quality
        • BinnedSpectrum.rate_errors
        • BinnedSpectrum.rates
        • BinnedSpectrum.scale_factor
        • BinnedSpectrum.sys_errors
        • BinnedSpectrum.to_pandas()
        • BinnedSpectrum.total_count
        • BinnedSpectrum.total_count_error
        • BinnedSpectrum.total_rate
        • BinnedSpectrum.total_rate_error
        • BinnedSpectrum.tstart
        • BinnedSpectrum.tstop
      • BinnedSpectrumWithDispersion
        • BinnedSpectrumWithDispersion.clone()
        • BinnedSpectrumWithDispersion.from_time_series()
        • BinnedSpectrumWithDispersion.response
      • Channel
        • Channel.channel_width
      • ChannelSet
        • ChannelSet.INTERVAL_TYPE
        • ChannelSet.channels_widths
        • ChannelSet.from_instrument_response()
      • Quality
        • Quality.bad
        • Quality.create_all_good()
        • Quality.from_ogip()
        • Quality.get_slice()
        • Quality.good
        • Quality.n_elements
        • Quality.to_ogip()
        • Quality.warn
    • threeML.utils.spectrum.binned_spectrum_set module
      • BinnedSpectrumSet
        • BinnedSpectrumSet.count_errors_per_bin
        • BinnedSpectrumSet.counts_per_bin
        • BinnedSpectrumSet.exposure_per_bin
        • BinnedSpectrumSet.n_channels
        • BinnedSpectrumSet.quality_per_bin
        • BinnedSpectrumSet.rate_errors_per_bin
        • BinnedSpectrumSet.rates_per_bin
        • BinnedSpectrumSet.reference_time
        • BinnedSpectrumSet.sort()
        • BinnedSpectrumSet.sys_errors_per_bin
        • BinnedSpectrumSet.time_intervals
        • BinnedSpectrumSet.time_to_index()
    • threeML.utils.spectrum.pha_spectrum module
      • PHASpectrum
        • PHASpectrum.ancillary_file
        • PHASpectrum.background_file
        • PHASpectrum.clone()
        • PHASpectrum.filename
        • PHASpectrum.from_dispersion_spectrum()
        • PHASpectrum.grouping
        • PHASpectrum.response_file
        • PHASpectrum.scale_factor
        • PHASpectrum.set_ogip_grouping()
        • PHASpectrum.to_binned_spectrum()
      • PHASpectrumSet
        • PHASpectrumSet.ancillary_file
        • PHASpectrumSet.background_file
        • PHASpectrumSet.clone()
        • PHASpectrumSet.filename
        • PHASpectrumSet.from_dispersion_spectrum()
        • PHASpectrumSet.grouping
        • PHASpectrumSet.response_file
        • PHASpectrumSet.scale_factor
        • PHASpectrumSet.set_ogip_grouping()
    • threeML.utils.spectrum.share_spectrum module
      • ShareSpectrum
        • ShareSpectrum.base_plugin_key
        • ShareSpectrum.data_ebin_connect
        • ShareSpectrum.data_ein_edges
    • threeML.utils.spectrum.spectrum_likelihood module
      • BinnedStatistic
        • BinnedStatistic.get_current_value()
        • BinnedStatistic.get_randomized_background_counts()
        • BinnedStatistic.get_randomized_background_errors()
        • BinnedStatistic.get_randomized_source_counts()
        • BinnedStatistic.get_randomized_source_errors()
      • GaussianObservedGaussianBackgroundStatistic
      • GaussianObservedStatistic
        • GaussianObservedStatistic.get_current_value()
        • GaussianObservedStatistic.get_randomized_source_counts()
        • GaussianObservedStatistic.get_randomized_source_errors()
      • NotAvailableStatistic
      • PoissonObservedGaussianBackgroundStatistic
        • PoissonObservedGaussianBackgroundStatistic.get_current_value()
        • PoissonObservedGaussianBackgroundStatistic.get_randomized_background_counts()
        • PoissonObservedGaussianBackgroundStatistic.get_randomized_background_errors()
        • PoissonObservedGaussianBackgroundStatistic.get_randomized_source_counts()
      • PoissonObservedIdealBackgroundStatistic
        • PoissonObservedIdealBackgroundStatistic.get_current_value()
        • PoissonObservedIdealBackgroundStatistic.get_randomized_background_counts()
        • PoissonObservedIdealBackgroundStatistic.get_randomized_source_counts()
      • PoissonObservedModeledBackgroundStatistic
        • PoissonObservedModeledBackgroundStatistic.get_current_value()
        • PoissonObservedModeledBackgroundStatistic.get_randomized_background_errors()
        • PoissonObservedModeledBackgroundStatistic.get_randomized_source_counts()
        • PoissonObservedModeledBackgroundStatistic.synthetic_background_plugin
      • PoissonObservedNoBackgroundStatistic
        • PoissonObservedNoBackgroundStatistic.get_current_value()
        • PoissonObservedNoBackgroundStatistic.get_randomized_source_counts()
      • PoissonObservedPoissonBackgroundStatistic
        • PoissonObservedPoissonBackgroundStatistic.get_current_value()
        • PoissonObservedPoissonBackgroundStatistic.get_randomized_background_counts()
        • PoissonObservedPoissonBackgroundStatistic.get_randomized_source_counts()
  • Module contents
• threeML.utils.statistics package
  • Submodules
    • threeML.utils.statistics.gammaln module
    • threeML.utils.statistics.likelihood_functions module
      • half_chi2()
      • poisson_log_likelihood_ideal_bkg()
      • poisson_observed_gaussian_background()
      • poisson_observed_poisson_background()
      • poisson_observed_poisson_background_xs()
      • regularized_log()
      • xlogy()
      • xlogy_one()
    • threeML.utils.statistics.stats_tools module
      • PoissonResiduals
        • PoissonResiduals.significance_one_side()
      • Significance
        • Significance.Noff
        • Significance.Non
        • Significance.alpha
        • Significance.expected
        • Significance.gaussian_background()
        • Significance.known_background()
        • Significance.li_and_ma()
        • Significance.li_and_ma_equivalent_for_gaussian_background()
        • Significance.net
      • aic()
      • bic()
      • dic()
      • sqrt_sum_of_squares()
      • waic()
  • Module contents
• threeML.utils.time_series package
  • Submodules
    • threeML.utils.time_series.binned_spectrum_series module
      • BinnedSpectrumSeries
        • BinnedSpectrumSeries.binned_spectrum_set
        • BinnedSpectrumSeries.bins
        • BinnedSpectrumSeries.count_per_channel_over_interval()
        • BinnedSpectrumSeries.counts_over_interval()
        • BinnedSpectrumSeries.dead_time_over_interval()
        • BinnedSpectrumSeries.exposure_over_interval()
        • BinnedSpectrumSeries.set_active_time_intervals()
        • BinnedSpectrumSeries.view_lightcurve()
    • threeML.utils.time_series.event_list module
      • EventList
        • EventList.arrival_times
        • EventList.bin_by_bayesian_blocks()
        • EventList.bin_by_constant()
        • EventList.bin_by_custom()
        • EventList.bin_by_significance()
        • EventList.bins
        • EventList.count_per_channel_over_interval()
        • EventList.counts_over_interval()
        • EventList.measurement
        • EventList.n_events
        • EventList.set_active_time_intervals()
        • EventList.view_lightcurve()
      • EventListWithDeadTime
        • EventListWithDeadTime.exposure_over_interval()
      • EventListWithDeadTimeFraction
        • EventListWithDeadTimeFraction.exposure_over_interval()
      • EventListWithLiveTime
        • EventListWithLiveTime.exposure_over_interval()
      • OverLappingIntervals
      • ReducingNumberOfSteps
      • ReducingNumberOfThreads
      • ceildiv()
    • threeML.utils.time_series.polynomial module
      • Polynomial
        • Polynomial.coefficients
        • Polynomial.covariance_matrix
        • Polynomial.degree
        • Polynomial.error
        • Polynomial.from_previous_fit()
        • Polynomial.integral()
        • Polynomial.integral_error()
        • Polynomial.set_covariace_matrix()
      • polyfit()
      • unbinned_polyfit()
    • threeML.utils.time_series.time_series module
      • OverLappingIntervals
      • ReducingNumberOfSteps
      • ReducingNumberOfThreads
      • TimeSeries
        • TimeSeries.bins
        • TimeSeries.bkg_intervals
        • TimeSeries.count_per_channel_over_interval()
        • TimeSeries.counts_over_interval()
        • TimeSeries.exposure_over_interval()
        • TimeSeries.fit_polynomial()
        • TimeSeries.get_information_dict()
        • TimeSeries.get_poly_info()
        • TimeSeries.get_total_poly_count()
        • TimeSeries.get_total_poly_error()
        • TimeSeries.n_channels
        • TimeSeries.poly_fit_exists
        • TimeSeries.poly_order
        • TimeSeries.polynomials
        • TimeSeries.restore_fit()
        • TimeSeries.save_background()
        • TimeSeries.set_active_time_intervals()
        • TimeSeries.set_background_interval()
        • TimeSeries.set_polynomial_fit_interval()
        • TimeSeries.time_intervals
        • TimeSeries.view_lightcurve()
      • ceildiv()
  • Module contents

Submodules

• threeML.utils.bayesian_blocks module
  • bayesian_blocks()
  • bayesian_blocks_not_unique()
• threeML.utils.binner module
  • NotEnoughData
  • Rebinner
    • Rebinner.get_new_start_and_stop()
    • Rebinner.grouping
    • Rebinner.n_bins
    • Rebinner.rebin()
    • Rebinner.rebin_errors()
  • TemporalBinner
    • TemporalBinner.bin_by_bayesian_blocks()
    • TemporalBinner.bin_by_constant()
    • TemporalBinner.bin_by_custom()
    • TemporalBinner.bin_by_significance()
• threeML.utils.cartesian module
• threeML.utils.differentiation module
  • CannotComputeHessian
  • ParameterOnBoundary
  • get_hessian()
  • get_jacobian()
• threeML.utils.fermi_relative_mission_time module
  • compute_fermi_relative_mission_times()
• threeML.utils.histogram module
  • Histogram
    • Histogram.INTERVAL_TYPE
    • Histogram.bin_entries()
    • Histogram.contents
    • Histogram.display()
    • Histogram.errors
    • Histogram.from_entries()
    • Histogram.from_numpy_histogram()
    • Histogram.is_poisson
    • Histogram.sys_errors
    • Histogram.total
    • Histogram.total_error
• threeML.utils.interval module
  • Interval
    • Interval.intersect()
    • Interval.merge()
    • Interval.mid_point
    • Interval.new()
    • Interval.overlaps_with()
    • Interval.start
    • Interval.stop
    • Interval.to_string()
  • IntervalSet
    • IntervalSet.INTERVAL_TYPE
    • IntervalSet.absolute_start
    • IntervalSet.absolute_stop
    • IntervalSet.argsort()
    • IntervalSet.bin_stack
    • IntervalSet.containing_bin()
    • IntervalSet.containing_interval()
    • IntervalSet.edges
    • IntervalSet.extend()
    • IntervalSet.from_list_of_edges()
    • IntervalSet.from_starts_and_stops()
    • IntervalSet.from_strings()
    • IntervalSet.is_contiguous()
    • IntervalSet.is_sorted
    • IntervalSet.merge_intersecting_intervals()
    • IntervalSet.mid_points
    • IntervalSet.new()
    • IntervalSet.new_interval()
    • IntervalSet.pop()
    • IntervalSet.sort()
    • IntervalSet.starts
    • IntervalSet.stops
    • IntervalSet.to_string()
    • IntervalSet.widths
  • IntervalsDoNotOverlap
  • IntervalsNotContiguous
• threeML.utils.numba_utils module
  • Vector()
  • VectorComplex128
  • VectorComplex64
  • VectorFloat32
  • VectorFloat64
  • VectorInt16
  • VectorInt32
  • VectorInt64
  • VectorInt8
  • VectorUint16
  • VectorUint32
  • VectorUint64
  • VectorUint8
  • nb_sum()
• threeML.utils.power_of_two_utils module
  • is_power_of_2()
  • next_power_of_2()
• threeML.utils.progress_bar module
  • tqdm()
  • trange()
• threeML.utils.step_parameter_generator module
  • step_generator()
• threeML.utils.string_utils module
  • dash_separated_string_to_tuple()
• threeML.utils.time_interval module
  • TimeInterval
    • TimeInterval.duration
    • TimeInterval.half_time
    • TimeInterval.start_time
    • TimeInterval.stop_time
  • TimeIntervalSet
    • TimeIntervalSet.INTERVAL_TYPE
    • TimeIntervalSet.absolute_start_time
    • TimeIntervalSet.absolute_stop_time
    • TimeIntervalSet.display()
    • TimeIntervalSet.start_times
    • TimeIntervalSet.stop_times
    • TimeIntervalSet.time_edges
• threeML.utils.unique_deterministic_tag module
  • get_unique_deterministic_tag()

Module contents