How to use the nbresuse.config.PSUtilMetric function in nbresuse
To help you get started, we’ve selected a few nbresuse examples, based on popular ways it is used in public projects.
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yuvipanda / nbresuse / nbresuse / config.py View on Github 
"""
Holds server-side configuration for nbresuse
"""
process_memory_metrics = List(
trait=PSUtilMetric(),
default_value=[{"name": "memory_info", "attribute": "rss"}],
)
system_memory_metrics = List(
trait=PSUtilMetric(),
default_value=[{"name": "virtual_memory", "attribute": "total"}],
)
process_cpu_metrics = List(
trait=PSUtilMetric(),
default_value=[{"name": "cpu_percent", "kwargs": {"interval": 0.05}}],
)
system_cpu_metrics = List(
trait=PSUtilMetric(), default_value=[{"name": "cpu_count"}]
)
mem_warning_threshold = Float(
default_value=0.1,
help="""
Warn user with flashing lights when memory usage is within this fraction
memory limit.
For example, if memory limit is 128MB, `mem_warning_threshold` is 0.1,
we will start warning the user when they use (128 - (128 * 0.1)) MB.
nbresuse
Simple Jupyter extension to show how much resources (RAM) your notebook is using
