Data Types and Dictionary Mapping

Introduction

Since most of the backend of Analysis-G is built in C++ and interfaced via Cython, multiple data types were used to simplify passing arguments between layers. Luckily, Cython and C++ can share py:type:struct types, which can be mapped into dictionaries and back. This section of the documentation outlines these types with their respective key and value pairs.

code_t
Variables:

  • input_params (list[str]) –

  • co_vars (list[str]) –

  • param_space (dict[str, str]) –

  • trace (dict[str, list[str]]) –

  • extern_imports (dict[str, list[str]]) –

  • dependency_hashes (list[str]) –

  • function_name (str) –

  • class_name (str) –

  • hash (str) –

  • source_code (str) –

  • object_code (str) –

  • defaults (str) –

  • is_class (bool) –

  • is_function (bool) –

  • is_callable (bool) –

  • is_initialized (bool) –

  • has_param_variable (bool) –

leaf_t
Variables:

  • requested (str) –

  • matched (str) –

  • branch_name (str) –

  • tree_name (str) –

  • path (str) –

branch_t
Variables:

  • requested (str) –

  • matched (str) –

  • tree_name (str) –

  • leaves (list[leaf_t]) –

tree_t
Variables:

  • size (int) –

  • requested (str) –

  • matched (str) –

  • branches (list[branch_t]) –

  • leaves (list[leaf_t]) –

meta_t
Variables:

  • hash (str) –

  • original_input (str) –

  • original_path (str) –

  • original_name (str) –

  • req_trees (list[str]) –

  • req_branches (list[str]) –

  • req_leaves (list[str]) –

  • mis_trees (list[str]) –

  • mis_branches (list[str]) –

  • mis_leaves (list[str]) –

  • dsid (int) –

  • AMITag (str) –

  • generators (str) –

  • isMC (bool) –

  • derivationFormat (str) –

  • inputrange (dict[int, int]) –

  • inputfiles (dict[int, str]) –

  • config (dict[str, str]) –

  • eventNumber (int) –

  • event_index (int) –

  • found (bool) –

  • DatasetName (str) –

  • ecmEnergy (float) –

  • genFiltEff (float) –

  • completion (float) –

  • beam_energy (float) –

  • crossSection (float) –

  • crossSection_mean (float) –

  • totalSize (float) –

  • nFiles (int) –

  • run_number (int) –

  • totalEvents (int) –

  • datasetNumber (int) –

  • identifier (str) –

  • prodsysStatus (str) –

  • dataType (str) –

  • version (str) –

  • PDF (str) –

  • AtlasRelease (str) –

  • principalPhysicsGroup (str) –

  • physicsShort (str) –

  • generatorName (str) –

  • geometryVersion (str) –

  • conditionsTag (str) –

  • generatorTune (str) –

  • amiStatus (str) –

  • beamType (str) –

  • productionStep (str) –

  • projectName (str) –

  • statsAlgorithm (str) –

  • genFilterNames (str) –

  • file_type (str) –

  • sample_name (str) –

  • keywords (list[str]) –

  • weights (list[str]) –

  • keyword (list[str]) –

  • LFN (dict[str, int]) –

  • fileGUID (list[st]) –

  • events (list[int]) –

  • fileSize (list[float]) –

particle_t
Variables:

  • e (float) –

  • mass (float) –

  • px (float) –

  • py (float) –

  • pz (float) –

  • pt (float) –

  • eta (float) –

  • phi (float) –

  • cartesian (bool) –

  • polar (bool) –

  • charge (float) –

  • pdgid (int) –

  • index (int) –

  • type (str) –

  • hash (str) –

  • symbol (str) –

  • lepdef (list[int]) –

  • nudef (list[int]) –

event_t
Variables:

  • event_name (str) –

  • commit_hash (str) –

  • code_hash (str) –

  • deprecated (bool) –

  • cached (bool) –

  • weight (float) –

  • event_index (int) –

  • event_hash (str) –

  • event_tagging (str) –

  • event_tree (str) –

  • event_root (str) –

  • pickled_data (str) –

  • graph (bool) –

  • selection (bool) –

  • event (bool) –

graph_t
Variables:

  • event_name (str) –

  • code_hash (str) –

  • errors (dict[str, str]) –

  • presel (dict[str, int]) –

  • cached (bool) –

  • event_index (int) –

  • weight (float) –

  • event_hash (str) –

  • event_tagging (str) –

  • event_tree (str) –

  • event_root (str) –

  • pickled_data (str) –

  • train (bool) –

  • evaluation (bool) –

  • validation (bool) –

  • empty_graph (bool) – bool

  • skip_graph (bool) – bool

  • src_dst (dict[str, list[int]]) –

  • hash_particle (dict[str, int]) –

  • self_loops (bool) –

  • graph_feature (dict[str, str]) –

  • node_feature (dict[str, str]) –

  • edge_feature (dict[str, str]) –

  • pre_sel_feature (dict[str, str]) –

  • topo_hash (str) –

  • graph (bool) –

  • selection (bool) –

  • event (bool) –

selection_t
Variables:

  • event_name (str) –

  • code_hash (str) –

  • errors (dict[str, int]) –

  • cached (bool) –

  • event_index (int) –

  • weight (float) –

  • event_hash (str) –

  • event_tagging (str) –

  • event_tree (str) –

  • event_root (str) –

  • pickled_data (str) –

  • pickled_strategy_data (str) –

  • strat_merge (dict[str, str]) –

  • data_merge (dict[str, str]) –

  • cutflow (dict[str, int]) –

  • timestats (list[float]) –

  • all_weights (list[float]) –

  • selection_weights (list[float]) –

  • allow_failure (bool) –

  • _params_ (str) –

  • graph (bool) –

  • selection (bool) –

  • event (bool) –

batch_t
Variables:

  • events (dict[str, event_t]) –

  • graphs (dict[str, graph_t]) –

  • selections (dict[str, selection_t]) –

  • code_hashes (dict[str, code_t]) –

  • meta (meta_t) –

  • hash (str) –

folds_t
Variables:

  • test (bool) –

  • train (bool) –

  • evaluation (bool) –

  • kfold (int) –

  • event_hash (str) –

data_t
Variables:

  • name (str) – str

  • truth (list[list[float]]) –

  • pred (list[list[float]]) –

  • index (list[list[float]]) –

  • nodes (list[list[float]]) –

  • loss (list[list[float]]) –

  • accuracy (list[list[float]]) –

  • mass_truth (map[int, list[list[float]]]) –

  • mass_pred (map[int, list[list[float]]]) –

metric_t
Variables:

  • truth (dict[str, list[list[float]]) –

  • pred (dict[str, list[list[float]]) –

  • acc_average (dict[str, float]) –

  • loss_average (dict[str, float]) –

  • num_nodes (dict[str, int]) –

root_t
Variables:

  • batches (dict[str, batch_t]) –

  • n_events (dict[str, int]) –

  • n_graphs (dict[str, int]) –

  • n_selections (dict[str, int]) –

tracer_t
Variables:

  • root_names (dict[str, root_t]) –

  • root_meta (dict[str, meta_t]) –

  • hashed_code (dict[str, code_t]) –

  • event_trees (dict[str, int ]) –

  • link_event_code (dict[str, str]) –

  • link_graph_code (dict[str, str]) –

export_t
Variables:

  • root_meta (dict[str, meta_t]) – dict[str, meta_t]

  • hashed_code (dict[str, code_t]) – dict[str, code_t]

  • link_event_code (dict[str, str]) – dict[str, str]

  • link_graph_code (dict[str, str]) – dict[str, str]

  • link_selection_code (dict[str, str]) – dict[str, str]

  • event_name_hash (dict[str, list[str]]) –

  • graph_name_hash (dict[str, list[str]]) –

  • selection_name_hash (dict[str, list[str]]) –

  • event_dir (dict[str, str]) –

  • graph_dir (dict[str, str]) –

  • selection_dir (dict[str, str]) –

settings_t
Variables:

  • projectname (str) –

  • outputdirectory (str) –

  • files (dict[str, list[str]]) –

  • samplemap (dict[str, list[str]]) –

  • verbose (int) –

  • chunks (int) –

  • threads (int) –

  • enable_pyami (bool) –

  • tree (str) –

  • eventname (str) –

  • graphname (str) –

  • selectionname (str) –

  • event_start (int) –

  • event_stop (int) –

  • training_name (str) –

  • run_name (str) –

  • device (str) –

  • optimizer_name (str) –

  • optimizer_params (dict[str, str]) –

  • scheduler_name (str) –

  • scheduler_params (dict[str, str]) –

  • kfolds (int) –

  • batch_size (int) –

  • epochs (int) –

  • epoch (dict[int, int]) –

  • kfold (list[int]) –

  • model (code_t) –

  • model_params (dict[str, str]) –

  • kinematic_map (dict[str, str]) –

  • debug_mode (bool) –

  • continue_training (bool) –

  • runplotting (bool) –

  • sort_by_nodes (bool) –

  • enable_reconstruction (bool) –

  • kinematic_map –

  • getgraph (bool) –

  • getevent (bool) –

  • getselection (bool) –

  • eventcache (bool) –

  • graphcache (bool) –

  • search (list[str]) –

  • get_all (bool) –

  • hashed_code (dict[str, code_t]) –

  • link_event_code (dict[str, str]) –

  • link_graph_code (dict[str, str]) –

  • link_selection_code (dict[str, str]) –