diff --git a/_sources/install.md.txt b/_sources/install.md.txt
index adc6b6e23..7b0ed729c 100644
--- a/_sources/install.md.txt
+++ b/_sources/install.md.txt
@@ -9,7 +9,7 @@ You may want `graphnet` to be able to interface with IceTray, e.g., when convert
 To achieve this, we recommend running the following commands in a clean bash shell:
 ```bash
 $ eval `/cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/setup.sh`
-$ /cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/Ubuntu_20.04_x86_64/metaprojects/icetray/v1.5.1/env-shell.sh
+$ /cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/RHEL_7_x86_64/metaprojects/icetray/v1.5.1/env-shell.sh
 ```
 Optionally, you can alias these commands or save them as a bash script for convenience, as you will have to run these commands every time you want to use IceTray (with `graphnet`) in a clean shell.
 
diff --git a/install.html b/install.html
index b3947e8f4..fa6e7827c 100644
--- a/install.html
+++ b/install.html
@@ -390,7 +390,7 @@ <h2 id="installing-with-icetray">Installing with IceTray<a class="headerlink" hr
 <p>You may want <code class="docutils literal notranslate"><span class="pre">graphnet</span></code> to be able to interface with IceTray, e.g., when converting I3 files to an intermediate file format for training GNN models (e.g., SQLite or parquet),[^1] or when running GNN inference as part of an IceTray chain. In these cases, you need to install <code class="docutils literal notranslate"><span class="pre">graphnet</span></code> in a Python runtime that has IceTray installed.</p>
 <p>To achieve this, we recommend running the following commands in a clean bash shell:</p>
 <div class="highlight-bash notranslate"><div class="highlight"><pre><span></span>$<span class="w"> </span><span class="nb">eval</span><span class="w"> </span><span class="sb">`</span>/cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/setup.sh<span class="sb">`</span>
-$<span class="w"> </span>/cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/Ubuntu_20.04_x86_64/metaprojects/icetray/v1.5.1/env-shell.sh
+$<span class="w"> </span>/cvmfs/icecube.opensciencegrid.org/py3-v4.2.1/RHEL_7_x86_64/metaprojects/icetray/v1.5.1/env-shell.sh
 </pre></div>
 </div>
 <p>Optionally, you can alias these commands or save them as a bash script for convenience, as you will have to run these commands every time you want to use IceTray (with <code class="docutils literal notranslate"><span class="pre">graphnet</span></code>) in a clean shell.</p>
diff --git a/searchindex.js b/searchindex.js
index aa1289921..4df38d653 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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"module-graphnet.data.sqlite.sqlite_utilities"], [37, "module-graphnet.data.utilities"], [38, "module-graphnet.data.utilities.parquet_to_sqlite"], [39, "module-graphnet.data.utilities.random"], [40, "module-graphnet.data.utilities.string_selection_resolver"], [41, "module-graphnet.deployment"], [74, "module-graphnet.pisa"], [75, "module-graphnet.pisa.fitting"], [76, "module-graphnet.pisa.plotting"], [77, "module-graphnet.training"], [82, "module-graphnet.training.weight_fitting"], [83, "module-graphnet.utilities"], [84, "module-graphnet.utilities.argparse"], [92, "module-graphnet.utilities.decorators"], [93, "module-graphnet.utilities.filesys"], [94, "module-graphnet.utilities.imports"], [95, "module-graphnet.utilities.logging"]], "graphnet.constants": [[2, "module-graphnet.constants"]], "graphnet.data": [[3, "module-graphnet.data"]], "deepcore (graphnet.data.constants.features attribute)": [[4, "graphnet.data.constants.FEATURES.DEEPCORE"]], "deepcore (graphnet.data.constants.truth 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"name (graphnet.data.extractors.i3extractor.i3extractor property)": [[15, "graphnet.data.extractors.i3extractor.I3Extractor.name"]], "set_files() (graphnet.data.extractors.i3extractor.i3extractor method)": [[15, "graphnet.data.extractors.i3extractor.I3Extractor.set_files"]], "set_files() (graphnet.data.extractors.i3extractor.i3extractorcollection method)": [[15, "graphnet.data.extractors.i3extractor.I3ExtractorCollection.set_files"]], "i3featureextractor (class in graphnet.data.extractors.i3featureextractor)": [[16, "graphnet.data.extractors.i3featureextractor.I3FeatureExtractor"]], "i3featureextractoricecube86 (class in graphnet.data.extractors.i3featureextractor)": [[16, "graphnet.data.extractors.i3featureextractor.I3FeatureExtractorIceCube86"]], "i3featureextractoricecubedeepcore (class in graphnet.data.extractors.i3featureextractor)": [[16, "graphnet.data.extractors.i3featureextractor.I3FeatureExtractorIceCubeDeepCore"]], "i3featureextractoricecubeupgrade (class in graphnet.data.extractors.i3featureextractor)": [[16, "graphnet.data.extractors.i3featureextractor.I3FeatureExtractorIceCubeUpgrade"]], "i3pulsenoisetruthflagicecubeupgrade (class in graphnet.data.extractors.i3featureextractor)": [[16, "graphnet.data.extractors.i3featureextractor.I3PulseNoiseTruthFlagIceCubeUpgrade"]], "graphnet.data.extractors.i3featureextractor": [[16, "module-graphnet.data.extractors.i3featureextractor"]], "i3genericextractor (class in graphnet.data.extractors.i3genericextractor)": [[17, "graphnet.data.extractors.i3genericextractor.I3GenericExtractor"]], "graphnet.data.extractors.i3genericextractor": [[17, "module-graphnet.data.extractors.i3genericextractor"]], "i3galacticplanehybridrecoextractor (class in graphnet.data.extractors.i3hybridrecoextractor)": [[18, "graphnet.data.extractors.i3hybridrecoextractor.I3GalacticPlaneHybridRecoExtractor"]], "graphnet.data.extractors.i3hybridrecoextractor": [[18, "module-graphnet.data.extractors.i3hybridrecoextractor"]], "i3ntmuonlabelextractor (class in graphnet.data.extractors.i3ntmuonlabelsextractor)": [[19, "graphnet.data.extractors.i3ntmuonlabelsextractor.I3NTMuonLabelExtractor"]], "graphnet.data.extractors.i3ntmuonlabelsextractor": [[19, "module-graphnet.data.extractors.i3ntmuonlabelsextractor"]], "i3particleextractor (class in graphnet.data.extractors.i3particleextractor)": [[20, "graphnet.data.extractors.i3particleextractor.I3ParticleExtractor"]], "graphnet.data.extractors.i3particleextractor": [[20, "module-graphnet.data.extractors.i3particleextractor"]], "i3pisaextractor (class in graphnet.data.extractors.i3pisaextractor)": [[21, "graphnet.data.extractors.i3pisaextractor.I3PISAExtractor"]], "graphnet.data.extractors.i3pisaextractor": [[21, "module-graphnet.data.extractors.i3pisaextractor"]], "i3quesoextractor (class in graphnet.data.extractors.i3quesoextractor)": [[22, "graphnet.data.extractors.i3quesoextractor.I3QUESOExtractor"]], "graphnet.data.extractors.i3quesoextractor": [[22, "module-graphnet.data.extractors.i3quesoextractor"]], "i3retroextractor (class in graphnet.data.extractors.i3retroextractor)": [[23, "graphnet.data.extractors.i3retroextractor.I3RetroExtractor"]], "graphnet.data.extractors.i3retroextractor": [[23, "module-graphnet.data.extractors.i3retroextractor"]], "i3splinempeicextractor (class in graphnet.data.extractors.i3splinempeextractor)": [[24, "graphnet.data.extractors.i3splinempeextractor.I3SplineMPEICExtractor"]], "graphnet.data.extractors.i3splinempeextractor": [[24, "module-graphnet.data.extractors.i3splinempeextractor"]], "i3truthextractor (class in graphnet.data.extractors.i3truthextractor)": [[25, "graphnet.data.extractors.i3truthextractor.I3TruthExtractor"]], "graphnet.data.extractors.i3truthextractor": [[25, "module-graphnet.data.extractors.i3truthextractor"]], "i3tumextractor (class in graphnet.data.extractors.i3tumextractor)": [[26, "graphnet.data.extractors.i3tumextractor.I3TUMExtractor"]], "graphnet.data.extractors.i3tumextractor": [[26, "module-graphnet.data.extractors.i3tumextractor"]], "graphnet.data.extractors.utilities": [[27, "module-graphnet.data.extractors.utilities"]], "flatten_nested_dictionary() (in module graphnet.data.extractors.utilities.collections)": [[28, "graphnet.data.extractors.utilities.collections.flatten_nested_dictionary"]], "graphnet.data.extractors.utilities.collections": [[28, "module-graphnet.data.extractors.utilities.collections"]], "serialise() (in module graphnet.data.extractors.utilities.collections)": [[28, "graphnet.data.extractors.utilities.collections.serialise"]], "transpose_list_of_dicts() (in module graphnet.data.extractors.utilities.collections)": [[28, "graphnet.data.extractors.utilities.collections.transpose_list_of_dicts"]], "frame_is_montecarlo() (in module graphnet.data.extractors.utilities.frames)": [[29, "graphnet.data.extractors.utilities.frames.frame_is_montecarlo"]], "frame_is_noise() (in module graphnet.data.extractors.utilities.frames)": [[29, "graphnet.data.extractors.utilities.frames.frame_is_noise"]], "get_om_keys_and_pulseseries() (in module graphnet.data.extractors.utilities.frames)": [[29, "graphnet.data.extractors.utilities.frames.get_om_keys_and_pulseseries"]], "graphnet.data.extractors.utilities.frames": [[29, "module-graphnet.data.extractors.utilities.frames"]], "break_cyclic_recursion() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.break_cyclic_recursion"]], "cast_object_to_pure_python() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.cast_object_to_pure_python"]], "cast_pulse_series_to_pure_python() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.cast_pulse_series_to_pure_python"]], "get_member_variables() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.get_member_variables"]], "graphnet.data.extractors.utilities.types": [[30, "module-graphnet.data.extractors.utilities.types"]], "is_boost_class() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.is_boost_class"]], "is_boost_enum() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.is_boost_enum"]], "is_icecube_class() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.is_icecube_class"]], "is_method() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.is_method"]], "is_type() (in module graphnet.data.extractors.utilities.types)": [[30, "graphnet.data.extractors.utilities.types.is_type"]], "graphnet.data.parquet": [[31, "module-graphnet.data.parquet"]], "parquetdataconverter (class in graphnet.data.parquet.parquet_dataconverter)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter"]], "file_suffix (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter attribute)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.file_suffix"]], "graphnet.data.parquet.parquet_dataconverter": [[32, "module-graphnet.data.parquet.parquet_dataconverter"]], "merge_files() (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter method)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.merge_files"]], "save_data() (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter method)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.save_data"]], "graphnet.data.sqlite": [[34, "module-graphnet.data.sqlite"]], "sqlitedataconverter (class in graphnet.data.sqlite.sqlite_dataconverter)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter"]], "any_pulsemap_is_non_empty() 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"graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.merge_files"]], "save_data() (graphnet.data.sqlite.sqlite_dataconverter.sqlitedataconverter method)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.save_data"]], "attach_index() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.attach_index"]], "create_table() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.create_table"]], "create_table_and_save_to_sql() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.create_table_and_save_to_sql"]], "database_exists() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.database_exists"]], "database_table_exists() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.database_table_exists"]], "graphnet.data.sqlite.sqlite_utilities": [[36, 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"graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter"]], "file_suffix (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter attribute)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.file_suffix"]], "graphnet.data.parquet.parquet_dataconverter": [[32, "module-graphnet.data.parquet.parquet_dataconverter"]], "merge_files() (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter method)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.merge_files"]], "save_data() (graphnet.data.parquet.parquet_dataconverter.parquetdataconverter method)": [[32, "graphnet.data.parquet.parquet_dataconverter.ParquetDataConverter.save_data"]], "graphnet.data.sqlite": [[34, "module-graphnet.data.sqlite"]], "sqlitedataconverter (class in graphnet.data.sqlite.sqlite_dataconverter)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter"]], "any_pulsemap_is_non_empty() (graphnet.data.sqlite.sqlite_dataconverter.sqlitedataconverter method)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.any_pulsemap_is_non_empty"]], "construct_dataframe() (in module graphnet.data.sqlite.sqlite_dataconverter)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.construct_dataframe"]], "file_suffix (graphnet.data.sqlite.sqlite_dataconverter.sqlitedataconverter attribute)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.file_suffix"]], "graphnet.data.sqlite.sqlite_dataconverter": [[35, "module-graphnet.data.sqlite.sqlite_dataconverter"]], "is_mc_tree() (in module graphnet.data.sqlite.sqlite_dataconverter)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.is_mc_tree"]], "is_pulse_map() (in module graphnet.data.sqlite.sqlite_dataconverter)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.is_pulse_map"]], "merge_files() (graphnet.data.sqlite.sqlite_dataconverter.sqlitedataconverter method)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.merge_files"]], "save_data() (graphnet.data.sqlite.sqlite_dataconverter.sqlitedataconverter method)": [[35, "graphnet.data.sqlite.sqlite_dataconverter.SQLiteDataConverter.save_data"]], "attach_index() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.attach_index"]], "create_table() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.create_table"]], "create_table_and_save_to_sql() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.create_table_and_save_to_sql"]], "database_exists() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.database_exists"]], "database_table_exists() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.database_table_exists"]], "graphnet.data.sqlite.sqlite_utilities": [[36, "module-graphnet.data.sqlite.sqlite_utilities"]], "run_sql_code() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.run_sql_code"]], "save_to_sql() (in module graphnet.data.sqlite.sqlite_utilities)": [[36, "graphnet.data.sqlite.sqlite_utilities.save_to_sql"]], "graphnet.data.utilities": [[37, "module-graphnet.data.utilities"]], "parquettosqliteconverter (class in graphnet.data.utilities.parquet_to_sqlite)": [[38, "graphnet.data.utilities.parquet_to_sqlite.ParquetToSQLiteConverter"]], "graphnet.data.utilities.parquet_to_sqlite": [[38, "module-graphnet.data.utilities.parquet_to_sqlite"]], "run() (graphnet.data.utilities.parquet_to_sqlite.parquettosqliteconverter method)": [[38, "graphnet.data.utilities.parquet_to_sqlite.ParquetToSQLiteConverter.run"]], "graphnet.data.utilities.random": [[39, "module-graphnet.data.utilities.random"]], "pairwise_shuffle() (in module graphnet.data.utilities.random)": [[39, "graphnet.data.utilities.random.pairwise_shuffle"]], "stringselectionresolver (class in graphnet.data.utilities.string_selection_resolver)": [[40, "graphnet.data.utilities.string_selection_resolver.StringSelectionResolver"]], "graphnet.data.utilities.string_selection_resolver": [[40, "module-graphnet.data.utilities.string_selection_resolver"]], "resolve() (graphnet.data.utilities.string_selection_resolver.stringselectionresolver method)": [[40, "graphnet.data.utilities.string_selection_resolver.StringSelectionResolver.resolve"]], "graphnet.deployment": [[41, "module-graphnet.deployment"]], "graphnet.pisa": [[74, "module-graphnet.pisa"]], "contourfitter (class in graphnet.pisa.fitting)": [[75, "graphnet.pisa.fitting.ContourFitter"]], "weightfitter (class in graphnet.pisa.fitting)": [[75, "graphnet.pisa.fitting.WeightFitter"]], "config_updater() (in module graphnet.pisa.fitting)": [[75, "graphnet.pisa.fitting.config_updater"]], "fit_1d_contour() (graphnet.pisa.fitting.contourfitter method)": [[75, "graphnet.pisa.fitting.ContourFitter.fit_1d_contour"]], "fit_2d_contour() (graphnet.pisa.fitting.contourfitter method)": [[75, "graphnet.pisa.fitting.ContourFitter.fit_2d_contour"]], "fit_weights() (graphnet.pisa.fitting.weightfitter method)": [[75, "graphnet.pisa.fitting.WeightFitter.fit_weights"]], "graphnet.pisa.fitting": [[75, "module-graphnet.pisa.fitting"]], "graphnet.pisa.plotting": [[76, "module-graphnet.pisa.plotting"]], "plot_1d_contour() (in module graphnet.pisa.plotting)": [[76, "graphnet.pisa.plotting.plot_1D_contour"]], "plot_2d_contour() (in module graphnet.pisa.plotting)": [[76, "graphnet.pisa.plotting.plot_2D_contour"]], "read_entry() (in module graphnet.pisa.plotting)": [[76, "graphnet.pisa.plotting.read_entry"]], "graphnet.training": [[77, "module-graphnet.training"]], "bjoernlow (class in graphnet.training.weight_fitting)": [[82, "graphnet.training.weight_fitting.BjoernLow"]], "uniform (class in graphnet.training.weight_fitting)": [[82, "graphnet.training.weight_fitting.Uniform"]], "weightfitter (class in graphnet.training.weight_fitting)": [[82, "graphnet.training.weight_fitting.WeightFitter"]], "fit() (graphnet.training.weight_fitting.weightfitter method)": [[82, "graphnet.training.weight_fitting.WeightFitter.fit"]], "graphnet.training.weight_fitting": [[82, "module-graphnet.training.weight_fitting"]], "graphnet.utilities": [[83, "module-graphnet.utilities"]], "argumentparser (class in graphnet.utilities.argparse)": [[84, "graphnet.utilities.argparse.ArgumentParser"]], "options (class in graphnet.utilities.argparse)": [[84, "graphnet.utilities.argparse.Options"]], "contains() (graphnet.utilities.argparse.options method)": [[84, "graphnet.utilities.argparse.Options.contains"]], "graphnet.utilities.argparse": [[84, "module-graphnet.utilities.argparse"]], "pop_default() (graphnet.utilities.argparse.options method)": [[84, "graphnet.utilities.argparse.Options.pop_default"]], "standard_arguments (graphnet.utilities.argparse.argumentparser attribute)": [[84, "graphnet.utilities.argparse.ArgumentParser.standard_arguments"]], "with_standard_arguments() (graphnet.utilities.argparse.argumentparser method)": [[84, "graphnet.utilities.argparse.ArgumentParser.with_standard_arguments"]], "graphnet.utilities.decorators": [[92, "module-graphnet.utilities.decorators"]], "find_i3_files() (in module graphnet.utilities.filesys)": [[93, "graphnet.utilities.filesys.find_i3_files"]], "graphnet.utilities.filesys": [[93, "module-graphnet.utilities.filesys"]], "has_extension() (in module graphnet.utilities.filesys)": [[93, "graphnet.utilities.filesys.has_extension"]], "is_gcd_file() (in module graphnet.utilities.filesys)": [[93, "graphnet.utilities.filesys.is_gcd_file"]], "is_i3_file() (in module graphnet.utilities.filesys)": [[93, "graphnet.utilities.filesys.is_i3_file"]], "graphnet.utilities.imports": [[94, "module-graphnet.utilities.imports"]], "has_icecube_package() (in module graphnet.utilities.imports)": [[94, "graphnet.utilities.imports.has_icecube_package"]], "has_pisa_package() (in module graphnet.utilities.imports)": [[94, "graphnet.utilities.imports.has_pisa_package"]], "has_torch_package() (in module graphnet.utilities.imports)": [[94, "graphnet.utilities.imports.has_torch_package"]], "requires_icecube() (in module graphnet.utilities.imports)": [[94, "graphnet.utilities.imports.requires_icecube"]], "logger (class in graphnet.utilities.logging)": [[95, "graphnet.utilities.logging.Logger"]], "repeatfilter (class in graphnet.utilities.logging)": [[95, "graphnet.utilities.logging.RepeatFilter"]], "critical() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.critical"]], "debug() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.debug"]], "error() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.error"]], "file_handlers (graphnet.utilities.logging.logger property)": [[95, "graphnet.utilities.logging.Logger.file_handlers"]], "filter() (graphnet.utilities.logging.repeatfilter method)": [[95, "graphnet.utilities.logging.RepeatFilter.filter"]], "graphnet.utilities.logging": [[95, "module-graphnet.utilities.logging"]], "handlers (graphnet.utilities.logging.logger property)": [[95, "graphnet.utilities.logging.Logger.handlers"]], "info() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.info"]], "nb_repeats_allowed (graphnet.utilities.logging.repeatfilter attribute)": [[95, "graphnet.utilities.logging.RepeatFilter.nb_repeats_allowed"]], "setlevel() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.setLevel"]], "stream_handlers (graphnet.utilities.logging.logger property)": [[95, "graphnet.utilities.logging.Logger.stream_handlers"]], "warning() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.warning"]], "warning_once() (graphnet.utilities.logging.logger method)": [[95, "graphnet.utilities.logging.Logger.warning_once"]]}})
\ No newline at end of file