pandora2d.profiling

Contains functions for profiling pandora2d

Attributes

`THREAD_TIMEOUT`
`expert_mode_config`
`data`

Classes

`ExpertModeConfig`	Expert mode config class
`Data`	Data class
`MemProf`	MemProf
`PerformanceSummaryItem`	Item of a Performance Summary.
`PerformanceSummary`	Performance Summary.

Functions

`get_current_memory`(→ float)	Get current memory of process
`mem_time_profile`([name, interval])	Pandora2d profiling decorator
`generate_barh_figure`(→ matplotlib.figure.Figure)	Barh figure.
`generate_box_figure`(→ matplotlib.figure.Figure)	Box figure.
`generate_summary`(→ None)	Generate graphs referencing memory management and time for each step.

Module Contents

pandora2d.profiling.THREAD_TIMEOUT = 2[source]

class pandora2d.profiling.ExpertModeConfig[source]

Expert mode config class

enable: bool = False[source]

class pandora2d.profiling.Data[source]

Data class

_data: list[Any] = [][source]

property timestamp: str[source]

append(line)[source]

reset() → None[source]

pandora2d.profiling.expert_mode_config[source]

pandora2d.profiling.data[source]

pandora2d.profiling.get_current_memory() → float[source]

Get current memory of process

Returns:: memory

class pandora2d.profiling.MemProf(pid, pipe, interval=0.1)[source]

Bases: threading.Thread

MemProf

Profiling thread with time and memory performances in seconds and MiB

pipe[source]

interval = 0.1[source]

cpu_interval = 0.1[source]

process[source]

run() → None[source]: Run

pandora2d.profiling.mem_time_profile(name=None, interval=0.1)[source]

Pandora2d profiling decorator

Param:: func: function to monitor

pandora2d.profiling.generate_barh_figure(series: pandas.Series, values: Any, title: str = '') → matplotlib.figure.Figure[source]

Barh figure.

Parameters:

series – Series containing the data
values – Values for bar chart
title – Title of the chart

Returns:

Performance graph

pandora2d.profiling.generate_box_figure(dataframe: pandas.DataFrame, title: str = '', xlabel: str = '', ylabel: str = '') → matplotlib.figure.Figure[source]