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[str]
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
skip_graph – 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, graphs_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
truth – list[list[float]]
pred – list[list[float]]
index – list[list[float]]
nodes – list[list[float]]
loss – list[list[float]]
accuracy – 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]
hashed_code – dict[str, code_t]
link_event_code – dict[str, str]
link_graph_code – dict[str, str]
link_selection_code – dict[str, str]
event_name_hash – dict[str, dict[str]]
graph_name_hash – dict[str, dict[str]]
selection_name_hash – dict[str, dict[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
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]