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A Simple Way to Trace Code in Python - Towards Data …
https://towardsdatascience.com/a-simple-way-to-trace-code-in-python-a15a25cbbf51
Using the @traced decorator — Autologging 1.0.1 documentation
https://pythonhosted.org/Autologging/examples-traced.html
Trace only certain methods of a class¶ The traced decorator accepts a variable number of positional string arguments. As you saw in the previous example, passing a user-defined logger as the first argument allows you to specify the parent logger for tracing. You may also pass a variable number of method names as arguments to traced. Autologging will then trace only the …
GitHub - VCTLabs/python-trace-decorator: python module …
https://github.com/VCTLabs/python-trace-decorator
python-trace-decorator. Python function-tracing module based on the recipe by Kevin L. Sitze. http://code.activestate.com/recipes/577551-trace-decorator-for-debugging/. but modified to work with python 3 (should work with 3.3 or greater). Still compatible with python 2.7, but not with older python versions.
python-trace-decorator/trace_decorator.py at master · …
https://github.com/VCTLabs/python-trace-decorator/blob/master/trace_decorator.py
python module that allows function tracing when using python logger class - python-trace-decorator/trace_decorator.py at master · VCTLabs/python-trace-decorator
opentracing-decorator · PyPI
https://pypi.org/project/opentracing-decorator/
opentracing-decorator - A Python decorator for OpenTracing trace generation. Opentracing Decorator is a small Python library that adds a convenient decorator for generating OpenTracing traces. It works with any client implementation that follows the OpenTracing standard. Note: Opentracing Decorator is in early beta. Use in production at your own risk.
Python Decorator for printing every line executed by a …
https://stackoverflow.com/questions/32163436/python-decorator-for-printing-every-line-executed-by-a-function
import sys class debug_context(): """ Debug context to trace any function calls inside the context """ def __init__(self, name): self.name = name def __enter__(self): print('Entering Debug Decorated func') # Set the trace function to the trace_calls function # So all events are now traced sys.settrace(self.trace_calls) def __exit__(self, *args, **kwargs): # Stop tracing all …
Decorators in Python - GeeksforGeeks
https://www.geeksforgeeks.org/decorators-in-python/
Decorators in Python. Decorators are a very powerful and useful tool in Python since it allows programmers to modify the behaviour of function or class. Decorators allow us to wrap another function in order to extend the behaviour of the wrapped function, without permanently modifying it.
Python Decorators – How to Create and Use Decorators …
https://www.freecodecamp.org/news/python-decorators-explained-with-examples/
Here is the syntax for a basic Python decorator: def my_decorator_func (func): def wrapper_func (): # Do something before the function. func () # Do something after the function. return wrapper_func. To use a decorator ,you attach it to a function like you see in the code below.
Extracting the Wrapped Function from a Decorator by …
https://medium.com/@genexu/extracting-the-wrapped-function-from-a-decorator-on-python-call-stack-2ee2e48cdd8e
The solution seemed simple enough, either using inspect.stack () to get the entire stack, or using sys._getframe ().f_back to get the caller frames one by one. Once I capture the desired frame ...
python - Threads with decorators - Stack Overflow
https://stackoverflow.com/questions/14234547/threads-with-decorators
def run_in_thread (fn): def run (*k, **kw): t = threading.Thread (target=fn, args=k, kwargs=kw) t.start () return t # <-- this is new! return run. i. e., let the wrapper function return the created thread, you can do. c = A () t1 = c.method1 () t1.join () …
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