fasttrips.Performance

class fasttrips.Performance[source]

Performance class. Keeps track of performance information (time spent, number of labeling iterations, etc) related to pathfinding in Fast-Trips and for the the bigger loops.

__init__()[source]: Constructor. Initialize empty dataframe for performance info.

Methods

`__init__`()	Constructor.
`add_info`(iteration, pathfinding_iteration, ...)	Add this row to the performance dict of arrays.
`record_step_end`(iteration, ...)	Explicitly ends whatever step was happening at this level.
`record_step_start`(iteration, ...)	Records the step start.
`write`(output_dir)	Writes the results to OUTPUT_PERFORMANCE_FILE as a csv.
`write_pathfinding`(output_dir, append)	Writes the pathfinding results to OUTPUT_PERFORMANCE_PF_FILE as a csv.

Attributes

`OUTPUT_PERFORMANCE_FILE`	File to write performance results
`OUTPUT_PERFORMANCE_PF_FILE`	File to write performance results
`PERFORMANCE_COL_END_MEM_MB`
`PERFORMANCE_COL_END_TIME`
`PERFORMANCE_COL_ITERATION`	Performance column: Iteration.
`PERFORMANCE_COL_PATHFINDING_ITERATION`	Performance column: Pathfinding Iteration.
`PERFORMANCE_COL_SIMULATION_ITERATION`	Performance column: Simulation Iteration.
`PERFORMANCE_COL_START_MEM_MB`
`PERFORMANCE_COL_START_TIME`	Performance column: step start time
`PERFORMANCE_COL_STEP_DURATION`
`PERFORMANCE_COL_STEP_NAME`	For general performance (not pathfinding) Performance column: Step name (e.g.
`PERFORMANCE_PF_COL_ITERATION`	Performance column: Iteration
`PERFORMANCE_PF_COL_LABEL_ITERATIONS`	Performance column: Number of label iterations
`PERFORMANCE_PF_COL_MAX_STOP_PROCESS_COUNT`	Performance column: Maximum number of times a stop was processed
`PERFORMANCE_PF_COL_MEM_TIMESTAMP`	Performance column: Timestamp of memory query, in a datetime.datetime
`PERFORMANCE_PF_COL_NUM_LABELED_STOPS`	Performance column: Number of labeled stops
`PERFORMANCE_PF_COL_PATHFINDING_ITERATION`	Performance column: Pathfinding Iteration
`PERFORMANCE_PF_COL_PATHFINDING_STATUS`	Performance column: Pathfinding status
`PERFORMANCE_PF_COL_PERSON_ID`	Performance column: Person ID
`PERFORMANCE_PF_COL_PERSON_TRIP_ID`	Performance column: Person Trip ID
`PERFORMANCE_PF_COL_PRIVATE_USAGE_BYTES`	Performance column: Private usage in memory, in bytes
`PERFORMANCE_PF_COL_PROCESS_NUM`	Performance column: Process number
`PERFORMANCE_PF_COL_TIME_ENUMERATING`	Performance column: Time spent enumerating (timedelta)
`PERFORMANCE_PF_COL_TIME_ENUMERATING_MS`	Performance column: Time spent enumerating (milliseconds)
`PERFORMANCE_PF_COL_TIME_LABELING`	Performance column: Time spent labeling (timedelta)
`PERFORMANCE_PF_COL_TIME_LABELING_MS`	Performance column: Time spent labeling (milliseconds)
`PERFORMANCE_PF_COL_TRACED`	Performance column: Traced, since this affects performance
`PERFORMANCE_PF_COL_WORKING_SET_BYTES`	Performance column: Working set in memory, in bytes