metawards.utils.Profiler¶
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class
metawards.utils.
Profiler
(name: Optional[str] = None, parent=None)[source]¶ This is a simple profiling class that supports manual instrumenting of the code. It is used for sub-function profiling.
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__init__
(name: Optional[str] = None, parent=None)[source]¶ Initialize self. See help(type(self)) for accurate signature.
Methods
__delattr__
(name, /)Implement delattr(self, name).
__dir__
()Default dir() implementation.
__eq__
(value, /)Return self==value.
__format__
(format_spec, /)Default object formatter.
__ge__
(value, /)Return self>=value.
__getattribute__
(name, /)Return getattr(self, name).
__gt__
(value, /)Return self>value.
__hash__
()Return hash(self).
__init__
([name, parent])Initialize self.
__init_subclass__
This method is called when a class is subclassed.
__le__
(value, /)Return self<=value.
__lt__
(value, /)Return self<value.
__ne__
(value, /)Return self!=value.
__new__
(**kwargs)Create and return a new object.
__reduce__
()Helper for pickle.
__reduce_ex__
(protocol, /)Helper for pickle.
__repr__
()Return repr(self).
__setattr__
(name, value, /)Implement setattr(self, name, value).
__sizeof__
()Size of object in memory, in bytes.
__str__
()Return the results of profiling as a report
__subclasshook__
Abstract classes can override this to customize issubclass().
_to_string
()Used to write the results of profiling as a report
Return the sum of time spent in the child profilers
is_null
()Return whether this is a null profiler
name
()Return the name of this profiler
start
(name)Start profiling the section called ‘name’.
stop
()Stop profiling.
total
()Return the amount of time that was recorded for this profiler in milliseconds (accurate to ~nanoseconds)
Attributes
__dict__
__doc__
__module__
__weakref__
list of weak references to the object (if defined)
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__init__
(name: Optional[str] = None, parent=None)[source]¶ Initialize self. See help(type(self)) for accurate signature.
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start
(name: str)[source]¶ Start profiling the section called ‘name’. This returns the updated profiler, e.g.
p = Profiler()
p = p.start(“long_loop”)
# run some code
p = p.end()
print(p)
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