analyzer.core.datasets

Classes

SampleType	Create a collection of name/value pairs.
Sample
Dataset
DatasetRepo

Functions

getDatasets(query, client)
getReplicas(dataset, client)
configureConverter(conv)
getDatasetFromPathMTime(path, mtime)

Module Contents

analyzer.core.datasets.getDatasets(query, client)

analyzer.core.datasets.getReplicas(dataset, client)

class analyzer.core.datasets.SampleType(*args, **kwds)

Bases: enum.Enum

Create a collection of name/value pairs.

Example enumeration:

>>> class Color(Enum):
...     RED = 1
...     BLUE = 2
...     GREEN = 3

Access them by:

• attribute access:

  >>> Color.RED
  <Color.RED: 1>
  

• value lookup:

  >>> Color(1)
  <Color.RED: 1>
  

• name lookup:

  >>> Color['RED']
  <Color.RED: 1>
  

Enumerations can be iterated over, and know how many members they have:

>>> len(Color)
3

>>> list(Color)
[<Color.RED: 1>, <Color.BLUE: 2>, <Color.GREEN: 3>]

Methods can be added to enumerations, and members can have their own attributes – see the documentation for details.

MC = 'MC'

Data = 'Data'

class analyzer.core.datasets.Sample

name: str

n_events: int

source: analyzer.core.event_collection.SourceDescription

x_sec: float | None = None

property metadata

analyzer.core.datasets.configureConverter(conv)

class analyzer.core.datasets.Dataset

name: str

title: str

samples: list[Sample]

era: str

sample_type: SampleType

other_data: dict[str, Any]

property metadata

__iter__()

__len__()

__getitem__(sample_name)

analyzer.core.datasets.getDatasetFromPathMTime(path, mtime)

class analyzer.core.datasets.DatasetRepo

datasets: dict[str, Dataset]

metadata: dict[str, Any]

__getitem__(key)

__iter__()

addFromFile(path)

addFromDirectory(path)