breakpoint()
The built-in breakpoint()
function inserts breakpoints into your code, allowing you to enter a debugging session at the point where the function is called. This function provides a flexible and intuitive way to integrate debugging into your workflow, using the default Python debugger pdb
or any other debugger configured via the PYTHONBREAKPOINT
environment variable:
division.py
def divide(a, b):
breakpoint() # Pause here to inspect arguments
return a / b
# Usage
a, b = 0, 1
print(divide(a, b))
$ python3 division.py
> /home/rp/division.py(2)divide()
-> breakpoint() # Pause here to inspect arguments
(Pdb)
breakpoint()
Signature
breakpoint(*args, **kws)
Arguments
Argument | Description |
---|---|
*args |
Positional arguments passed to the debugging hook. |
**kws |
Keyword arguments passed to the debugging hook. |
Return Value
- By default,
breakpoint()
doesn’t return any value as it callspdb.set_trace()
, entering an interactive debugging session. - The return value can vary if a custom debugger or function is used via the
PYTHONBREAKPOINT
environment variable.
breakpoint()
Examples
With the default configuration:
area.py
def calculate_area(length, width):
area = length * width
breakpoint() # Pause here to inspect variables
return area
# Usage
result = calculate_area(5, 3)
print(f"The area is: {result}")
breakpoint()
Common Use Cases
The most common use cases for the breakpoint()
function include:
- Debugging code to identify errors or unexpected behavior
- Customizing the debugging environment by specifying different debuggers
- Integrating debugging into continuous integration or development pipelines
breakpoint()
Real-World Example
Consider a scenario where you’re debugging a function that calculates the reciprocal of a number but sometimes encounters a division by zero error. You can use breakpoint()
to investigate:
reciprocal.py
def reciprocal(value):
breakpoint() # Inspect the input value
return 1 / value
# Usage
print(reciprocal(2))
print(reciprocal(0))
By running this code, you’ll enter the debugger right before the division occurs, allowing you to inspect the argument and the program’s state. This helps you identify and fix issues like division by zero.
Related Resources
Tutorial
Python Debugging With Pdb
In this hands-on tutorial, you'll learn the basics of using pdb, Python's interactive source code debugger. Pdb is a great tool for tracking down hard-to-find bugs and allows you to fix faulty code more quickly.
For additional information on related topics, take a look at the following resources:
- Find & Fix Code Bugs in Python: Debug With IDLE (Tutorial)
- Python 3.7: Cool New Features for You to Try (Tutorial)
- Debugging in Python With pdb (Course)
- Python Basics: Finding and Fixing Code Bugs (Course)