perda.core_data_structures.single_run_data

pydantic model perda.core_data_structures.single_run_data.SingleRunData

Bases: BaseModel

Pydantic model to store parsed CSV data with dictionary-like lookup.

Config:

• arbitrary_types_allowed: bool = True

Fields:

• concat_boundaries (List[int])

• cpp_name_to_id (Dict[str, int])

• data_end_time (int)

• data_start_time (int)

• id_to_cpp_name (Dict[int, str])

• id_to_descript (Dict[int, str])

• id_to_instance (Dict[int, perda.core_data_structures.data_instance.DataInstance])

• timestamp_unit (perda.units.Timescale)

• total_data_points (int)

field id_to_instance: Dict[int, DataInstance] [Required]

Mapping from variable ID to DataInstance

field cpp_name_to_id: Dict[str, int] [Required]

Mapping from variable name to variable ID

field id_to_cpp_name: Dict[int, str] [Required]

Mapping from variable ID to variable name

field id_to_descript: Dict[int, str] [Required]

Mapping from variable ID to variable description

field total_data_points: int [Required]

Total number of data points across all variables

field data_start_time: int [Required]

Start timestamp in log timestamp unit

field data_end_time: int [Required]

End timestamp in log timestamp unit

field timestamp_unit: Timescale = Timescale.MS

Timestamp logging unit for this run (ms/us)

field concat_boundaries: List[int] [Optional]

Timestamps where concatenated runs begin (post-shift)

add(cpp_name, di)

Insert a new derived DataInstance using a synthetic negative ID.

Parameters:

• cpp_name (str) – C++ variable name key for the new variable.

• di (DataInstance) – DataInstance to insert.

Return type:

None

replace(cpp_name, di)

Overwrite the values of an existing variable in-place.

Parameters:

• cpp_name (str) – C++ variable name of the variable to replace.

• di (DataInstance) – DataInstance whose value_np that replaces the stored one.

Return type:

None