From what I have read, there are two ways to debug code in Python:
With a traditional debugger such as pdb or ipdb. This supports commands such as c for continue, n for step-over, s for step-into etc.), but you don't have direct access to an IPython shell which can be extremely useful for object inspection.
Using IPython by embedding an IPython shell in your code. You can do from IPython import embed, and then use embed() in your code. When your program/script hits an embed() statement, you are dropped into an IPython shell. This allows the full inspection of objects and testing of Python code using all the IPython goodies. However, when using embed() you can't step-by-step through the code anymore with handy keyboard shortcuts.
Is there any way to combine the best of both worlds? I.e.
Be able to step-by-step through your code with handy pdb/ipdb keyboard shortcuts.
At any such step (e.g. on a given statement), have access to a full-fledged IPython shell.
IPython debugging as in MATLAB:
An example of this type of "enhanced debugging" can be found in MATLAB, where the user always has full access to the MATLAB engine/shell, and she can still step-by-step through her code, define conditional breakpoints, etc. From what I have discussed with other users, this is the debugging feature that people miss the most when moving from MATLAB to IPython.
IPython debugging in Emacs and other editors:
I don't want to make the question too specific, but I work mostly in Emacs, so I wonder if there is any way to bring this functionality into it. Ideally, Emacs (or the editor) would allow the programmer to set breakpoints anywhere on the code and communicate with the interpreter or debugger to have it stop in the location of your choice, and bring to a full IPython interpreter on that location.
What about ipdb.set_trace() ? In your code :
import ipdb; ipdb.set_trace()
update: now in Python 3.7, we can write breakpoint(). It works the same, but it also obeys to the PYTHONBREAKPOINT environment variable. This feature comes from this PEP.
This allows for full inspection of your code, and you have access to commands such as c (continue), n (execute next line), s (step into the method at point) and so on.
See the ipdb repo and a list of commands. IPython is now called (edit: part of) Jupyter.
ps: note that an ipdb command takes precedence over python code. So in order to write list(foo) you'd need print(list(foo)), or !list(foo) .
Also, if you like the ipython prompt (its emacs and vim modes, history, completions,…) it's easy to get the same for your project since it's based on the python prompt toolkit.
You can use IPython's %pdb magic. Just call %pdb in IPython and when an error occurs, you're automatically dropped to ipdb. While you don't have the stepping immediately, you're in ipdb afterwards.
This makes debugging individual functions easy, as you can just load a file with %load and then run a function. You could force an error with an assert at the right position.
%pdb is a line magic. Call it as %pdb on, %pdb 1, %pdb off or %pdb 0. If called without argument it works as a toggle.
(Update on May 28, 2016) Using RealGUD in Emacs
For anyone in Emacs, this thread shows how to accomplish everything described in the OP (and more) using
a new important debugger in Emacs called RealGUD which can operate with any debugger (including ipdb).
The Emacs package isend-mode.
The combination of these two packages is extremely powerful and allows one to recreate exactly the behavior described in the OP and do even more.
More info on the wiki article of RealGUD for ipdb.
Original answer:
After having tried many different methods for debugging Python, including everything mentioned in this thread, one of my preferred ways of debugging Python with IPython is with embedded shells.
Defining a custom embedded IPython shell:
Add the following on a script to your PYTHONPATH, so that the method ipsh() becomes available.
import inspect
# First import the embed function
from IPython.terminal.embed import InteractiveShellEmbed
from IPython.config.loader import Config
# Configure the prompt so that I know I am in a nested (embedded) shell
cfg = Config()
prompt_config = cfg.PromptManager
prompt_config.in_template = 'N.In <\\#>: '
prompt_config.in2_template = ' .\\D.: '
prompt_config.out_template = 'N.Out<\\#>: '
# Messages displayed when I drop into and exit the shell.
banner_msg = ("\n**Nested Interpreter:\n"
"Hit Ctrl-D to exit interpreter and continue program.\n"
"Note that if you use %kill_embedded, you can fully deactivate\n"
"This embedded instance so it will never turn on again")
exit_msg = '**Leaving Nested interpreter'
# Wrap it in a function that gives me more context:
def ipsh():
ipshell = InteractiveShellEmbed(config=cfg, banner1=banner_msg, exit_msg=exit_msg)
frame = inspect.currentframe().f_back
msg = 'Stopped at {0.f_code.co_filename} at line {0.f_lineno}'.format(frame)
# Go back one level!
# This is needed because the call to ipshell is inside the function ipsh()
ipshell(msg,stack_depth=2)
Then, whenever I want to debug something in my code, I place ipsh() right at the location where I need to do object inspection, etc. For example, say I want to debug my_function below
Using it:
def my_function(b):
a = b
ipsh() # <- This will embed a full-fledged IPython interpreter
a = 4
and then I invoke my_function(2) in one of the following ways:
Either by running a Python program that invokes this function from a Unix shell
Or by invoking it directly from IPython
Regardless of how I invoke it, the interpreter stops at the line that says ipsh(). Once you are done, you can do Ctrl-D and Python will resume execution (with any variable updates that you made). Note that, if you run the code from a regular IPython the IPython shell (case 2 above), the new IPython shell will be nested inside the one from which you invoked it, which is perfectly fine, but it's good to be aware of. Eitherway, once the interpreter stops on the location of ipsh, I can inspect the value of a (which be 2), see what functions and objects are defined, etc.
The problem:
The solution above can be used to have Python stop anywhere you want in your code, and then drop you into a fully-fledged IPython interpreter. Unfortunately it does not let you add or remove breakpoints once you invoke the script, which is highly frustrating. In my opinion, this is the only thing that is preventing IPython from becoming a great debugging tool for Python.
The best you can do for now:
A workaround is to place ipsh() a priori at the different locations where you want the Python interpreter to launch an IPython shell (i.e. a breakpoint). You can then "jump" between different pre-defined, hard-coded "breakpoints" with Ctrl-D, which would exit the current embedded IPython shell and stop again whenever the interpreter hits the next call to ipsh().
If you go this route, one way to exit "debugging mode" and ignore all subsequent breakpoints, is to use ipshell.dummy_mode = True which will make Python ignore any subsequent instantiations of the ipshell object that we created above.
You can start IPython session from pudb and go back to the debugging session as you like.
BTW, ipdb is using IPython behind the scenes and you can actually use IPython functionality such as TAB completion and magic commands (the one starts with %). If you are OK with ipdb you can start it from IPython using commands such as %run and %debug. ipdb session is actually better than plain IPython one in the sense you can go up and down in the stack trace etc. What is missing in ipdb for "object inspection"?
Also, python.el bundled with Emacs >= 24.3 has nice ipdb support.
Looks like the approach in #gaborous's answer is deprecated.
The new approach seems to be:
from IPython.core import debugger
debug = debugger.Pdb().set_trace
def buggy_method():
debug()
Prefixing an "!" symbol to commands you type in pdb seems to have the same effect as doing something in an IPython shell. This works for accessing help for a certain function, or even variable names. Maybe this will help you to some extent. For example,
ipdb> help(numpy.transpose)
*** No help on (numpy.transpose)
But !help(numpy.transpose) will give you the expected help page on numpy.transpose. Similarly for variable names, say you have a variable l, typing "l" in pdb lists the code, but !l prints the value of l.
You can start IPython from within ipdb.
Induce the ipdb debugger1:
import idpb; ipdb.set_trace()
Enter IPython from within in the ipdb> console2:
from IPython import embed; embed()
Return to the ipdb> console from within IPython:
exit
If you're lucky enough to be using Emacs, things can be made even more convenient.
This requires using M-x shell. Using yasnippet and bm, define the following snippet. This will replace the text ipdb in the editor with the set-trace line. After inserting the snippet, the line will be highlighted so that it is easily noticeable and navigable. Use M-x bm-next to navigate.
# -*- mode: snippet -*-
# name: ipdb
# key: ipdb
# expand-env: ((yas-after-exit-snippet-hook #'bm-toggle))
# --
import ipdb; ipdb.set_trace()
1 All on one line for easy deletion. Since imports only happen once, this form ensures ipdb will be imported when you need it with no extra overhead.
2 You can save yourself some typing by importing IPython within your .pdbrc file:
try:
from IPython import embed
except:
pass
This allows you to simply call embed() from within ipdb (of course, only when IPython is installed).
Did you try this tip?
Or better still, use ipython, and call:
from IPython.Debugger import Tracer; debug_here = Tracer()
then you can just use
debug_here()
whenever you want to set a breakpoint
the right, easy, cool, exact answer for the question is to use %run macro with -d flag.
In [4]: run -d myscript.py
NOTE: Enter 'c' at the ipdb> prompt to continue execution.
> /cygdrive/c/Users/mycodefolder/myscript.py(4)<module>()
2
3
----> 4 a=1
5 b=2
One option is to use an IDE like Spyder which should allow you to interact with your code while debugging (using an IPython console, in fact). In fact, Spyder is very MATLAB-like, which I presume was intentional. That includes variable inspectors, variable editing, built-in access to documentation, etc.
If you type exit() in embed() console the code continue and go to the next embed() line.
The Pyzo IDE has similar capabilities as the OP asked for. You don't have to start in debug mode. Similarly to MATLAB, the commands are executed in the shell. When you set up a break-point in some source code line, the IDE stops the execution there and you can debug and issue regular IPython commands as well.
It does seem however that step-into doesn't (yet?) work well (i.e. stopping in one line and then stepping into another function) unless you set up another break-point.
Still, coming from MATLAB, this seems the best solution I've found.
From python 3.2, you have the interact command, which gives you access to the full python/ipython command space.
Running from inside Emacs' IPython-shell and breakpoint set via pdb.set_trace() should work.
Checked with python-mode.el, M-x ipython RET etc.
Developing New Code
Debugging inside IPython
Use Jupyter/IPython cell execution to speed up experiment iterations
Use %%debug for step through
Cell Example:
%%debug
...: for n in range(4):
...: n>2
Debugging Existing Code
IPython inside debugging
Debugging a broken unit test: pytest ... --pdbcls=IPython.terminal.debugger:TerminalPdb --pdb
Debugging outside of test case: breakpoint(), python -m ipdb, etc.
IPython.embed() for full IPython functionality where needed while in the debugger
Thoughts on Python
I agree with the OP that many things MATLAB does nicely Python still does not have and really should since just about everything in the language favors development speed over production speed. Maybe someday I will contribute more than trivial bug fixes to CPython.
https://github.com/ipython/ipython/commit/f042f3fea7560afcb518a1940daa46a72fbcfa68
See also Is it possible to run commands in IPython with debugging?
If put import ipdb; ipdb.set_trace() at cell outside function, it will occur error.
Using %pdb or %debug, you can only see the filnal error result. You cannot see the code doing step by step.
I use following skill:
%%writefile temp.py
.....cell code.....
save the code of cell to file temp.py.
and then
%run -i -d temp.py, it will run the cell code by pdb .
-i: run the file in IPython’s namespace instead of an empty one.
-d: run your program under the control of pdb, the Python debugger.
Related
I suspect that I have issue in one of my loops, so I setup a break points with pdb.set_trace()
import pdb
for i in range(100):
print("a")
pdb.set_trace()
print("b")
after check variable in this loop for a few times, I decide continue this programming without further breaks. So I try to get the break number with b command, no breaks listed. I guess this line of code don't setup a break point. but How Do I get ride of this "break points" without stopping the program and change the code?
to my knowledge, you could not bypass set_trace, but you could neutralize it, once debugger stopped, type:
pdb.set_trace = lambda: 1
then continue, it wont break again.
Setting a breakpoint (requires Python 3.7):
breakpoint()
Disabling breakpoints set with the breakpoint() function:
import os
os.environ["PYTHONBREAKPOINT"] = "0"
Long story:
In the 3.7 version of Python, the breakpoint() built-in function for setting breakpoints was introduced. By default, it will call pdb.set_trace(). Also, since the 3.7 version of Python the PYTHONBREAKPOINT environment variable is available. It is considered when the breakpoint() function is used.
So, in order to disable these breakpoints (set with the breakpoint() function), one can just set the PYTHONBREAKPOINT environment variable like this:
import os
os.environ["PYTHONBREAKPOINT"] = "0"
It may be useful to mention here sys.breakpointhook() which was also added in the 3.7 version of Python and allows to customize breakpoints behavior.
Unfortunately pdb is missing a bunch of functionality (even basic stuff like display lists), and you've found another example of that here. The good news is that pdb++ is a great drop-in replacement for pdb, and one of the things it solves is exactly the problem of disabling set_trace. So you can simply do:
pip install pdbpp
and then at the (Pdb++) prompt, type
pdb.disable()
Easy! And you will get lots of other useful goodies on top of that.
It is possible to start a Python script without PDB control but then hit a stray set_trace() left there. To prevent breaking into debugger every time set_trace() is encountered, a similar trick as above (changing the symbol's reference to point to a harmless function) can be applied.
However, the namespace of the debuggee has to be modified, not one of the debugger itself. Simply overwriting pdb.set_trace = lambda:1 or set_trace = lambda:1 did not work for me.
The following trick worked from the pdb prompt:
pdb> globals()['set_trace'] = lambda:1
This line first calls globals() to get access to a dict of the program under debugging, and then modifies the reference of set_trace there.
One way around this is to not write the breakpoints in the script itself, but rather set breakpoints when you start python with python -m pdb my_script.py
You then get into a prompt first, before execution of the script starts, and you can write for example
(Pdb) b 321
to set a breakpoint on line 321 (you can also specify file and specify conditions b 321, i == 50)
Then
(Pdb) c
(for continue) to start the execution of the actual script. The breakpoints you set in this way, you can clear when you're done with them with:
(Pdb) cl
(for clear)
As I know, %debug magic can do debug within one cell.
However, I have function calls across multiple cells.
For example,
In[1]: def fun1(a)
def fun2(b)
# I want to set a breakpoint for the following line #
return do_some_thing_about(b)
return fun2(a)
In[2]: import multiprocessing as mp
pool=mp.Pool(processes=2)
results=pool.map(fun1, 1.0)
pool.close()
pool.join
What I tried:
I tried to set %debug in the first line of cell-1. But it enter into debug mode immediately, even before executing cell-2.
I tried to add %debug in the line right before the code return do_some_thing_about(b). But then the code runs forever, never stops.
What is the right way to set a break point within the ipython notebook?
You can use ipdb inside jupyter with:
from IPython.core.debugger import Tracer; Tracer()()
Edit: the functions above are deprecated since IPython 5.1. This is the new approach:
from IPython.core.debugger import set_trace
Add set_trace() where you need a breakpoint. Type help for ipdb commands when the input field appears.
Use ipdb
Install it via
pip install ipdb
Usage:
In[1]: def fun1(a):
def fun2(a):
import ipdb; ipdb.set_trace() # debugging starts here
return do_some_thing_about(b)
return fun2(a)
In[2]: fun1(1)
For executing line by line use n and for step into a function use s and to exit from debugging prompt use c.
For complete list of available commands: https://appletree.or.kr/quick_reference_cards/Python/Python%20Debugger%20Cheatsheet.pdf
In Python 3.7 you can use breakpoint() function. Just enter
breakpoint()
wherever you would like runtime to stop and from there you can use the same pdb commands (r, c, n, ...) or evaluate your variables.
Your return function is in line of def function(main function), you must give one tab to it.
And Use
%%debug
instead of
%debug
to debug the whole cell not only line. Hope, maybe this will help you.
You can always add this in any cell:
import pdb; pdb.set_trace()
and the debugger will stop on that line. For example:
In[1]: def fun1(a):
def fun2(a):
import pdb; pdb.set_trace() # debugging starts here
return fun2(a)
In[2]: fun1(1)
After you get an error, in the next cell just run %debug and that's it.
The %pdb magic command is good to use as well. Just say %pdb on and subsequently the pdb debugger will run on all exceptions, no matter how deep in the call stack. Very handy.
If you have a particular line that you want to debug, just raise an exception there (often you already are!) or use the %debug magic command that other folks have been suggesting.
Just type import pdb in jupyter notebook, and then use this cheatsheet to debug. It's very convenient.
c --> continue, s --> step, b 12 --> set break point at line 12 and so on.
Some useful links:
Python Official Document on pdb, Python pdb debugger examples for better understanding how to use the debugger commands.
Some useful screenshots:
I just discovered PixieDebugger. Even thought I have not yet had the time to test it, it really seems the most similar way to debug the way we're used in ipython with ipdb
It also has an "evaluate" tab
A native debugger is being made available as an extension to JupyterLab. Released a few weeks ago, this can be installed by getting the relevant extension, as well as xeus-python kernel (which notably comes without the magics well-known to ipykernel users):
jupyter labextension install #jupyterlab/debugger
conda install xeus-python -c conda-forge
This enables a visual debugging experience well-known from other IDEs.
Source: A visual debugger for Jupyter
In VsCode
File -> Preferances -> Settings ->
Open Settings (JSON) [small page icon on the upper right]
Paste this line of code to the end of it
"jupyter.experimental.debugging": true
Now you should see debug option at the top navigation bar
I often have the case that I'll be writing a script, and I'm up to a part of the script where I want to play around with some of the variables interactively. Getting to that part requires running a large part of the script I've already written.
In this case it isn't trivial to run this program from inside the shell. I would have to recreate the conditions of that function somehow.
What I want to do is call a function, like runshell(), which will run the python shell at that point in the program, keeping all variables in scope, allowing me to poke around in it.
How would I go about doing that?
import code
code.interact(local=locals())
But using the Python debugger is probably more what you want:
import pdb
pdb.set_trace()
By far the most convenient method that I have found is:
import IPython
IPython.embed()
You get all your global and local variables and all the creature comforts of IPython: tab completion, auto indenting, etc.
You have to install the IPython module to use it of course:
pip install ipython
For practicality I'd like to add that you can put the debugger trace in a one liner:
import pdb; pdb.set_trace()
Which is a nice line to add to an editor that supports snippets, like TextMate or Vim+SnipMate. I have it set up to expand "break" into the above one liner.
You can use the python debugger (pdb) set_trace function.
For example, if you invoke a script like this:
def whatever():
x = 3
import pdb
pdb.set_trace()
if __name__ == '__main__':
whatever()
You get the scope at the point when set_trace is called:
$ python ~/test/test.py
--Return--
> /home/jterrace/test/test.py(52)whatever()->None
-> pdb.set_trace()
(Pdb) x
3
(Pdb)
Not exactly a perfect source but I've written a few manhole's before, here is one I wrote for an abandoned pet project http://code.google.com/p/devdave/source/browse/pymethius/trunk/webmud/handlers/konsole.py
And here is one from the Twisted Library http://twistedmatrix.com/trac/browser/tags/releases/twisted-8.1.0/twisted/manhole/telnet.py the console logic is in Shell.doCommand
I'm not sure if what I'm asking is possible at all, but since python is an interpreter it might be. I'm trying to make changes in an open-source project but because there are no types in python it's difficult to know what the variables have as data and what they do. You can't just look up the documentation on the var's type since you can't be sure what type it is. I want to drop to the terminal so I can quickly examine the types of the variables and what they do by typing help(var) or print(var). I could do this by changing the code and then re-running the program each time but that would be much slower.
Let's say I have a program:
def foo():
a = 5
my_debug_shell()
print a
foo()
my_debug_shell is the function I'm asking about. It would drop me to the '>>>' shell of the python interpreter where I can type help(a), and it would tell me that a is an integer. Then I type 'a=7', and some 'continue' command, and the program goes on to print 7, not 5, because I changed it.
http://docs.python.org/library/pdb.html
import pdb
pdb.set_trace()
Here is a solution that doesn't require code changes:
python -m pdb prog.py <prog_args>
(pdb) b 3
Breakpoint 1 at prog.py:3
(pdb) c
...
(pdb) p a
5
(pdb) a=7
(pdb) ...
In short:
start your program under debugger control
set a break point at a given line of code
let the program run up to that point
you get an interactive prompt that let's you do what you want (type 'help' for all options)
Python 3.7 has a new builtin way of setting breakpoints.
breakpoint()
The implementation of breakpoint() will import pdb and call pdb.set_trace().
Remember to include the braces (), since breakpoint is a function, not a keyword.
A one-line partial solution is simply to put 1/0 where you want the breakpoint: this will raise an exception, which will be caught by the debugger. Two advantages of this approach are:
Breakpoints set this way are robust against code modification (no dependence on a particular line number);
One does not need to import pdb in every program to be debugged; one can instead directly insert "breakpoints" where needed.
In order to catch the exception automatically, you can simply do python -m pdb prog.py… and then type c(ontinue) in order to start the program. When the 1/0 is reached, the program exits, but variables can be inspected as usual with the pdb debugger (p my_var). Now, this does not allow you to fix things and keep running the program. Instead you can try to fix the bug and run the program again.
If you want to use the powerful IPython shell, ipython -pdb prog.py… does the same thing, but leads to IPython's better debugger interface. Alternatively, you can do everything from within the IPython shell:
In IPython, set up the "debug on exception" mode of IPython (%pdb).
Run the program from IPython with %run prog.py…. When an exception occurs, the debugger is automatically activated and you can inspect variables, etc.
The advantage of this latter approach is that (1) the IPython shell is almost a must; and (2) once it is installed, debugging can easily be done through it (instead of directly through the pdb module). The full documentation is available on the IPython pages.
You can run the program using pdb, and add breakpoints before starting execution.
In reality though, it's usually just as fast to edit the code and put in the set_trace() call, as another user stated.
Not sure what the real question is. Python gives you the 'pdb' debugger (google yourself) and in addition you can add logging and debug output as needed.
Hey I was wondering... I am using the pydev with eclipse and I'm really enjoying the powerful debugging features, but I was wondering:
Is it possible to set a breakpoint in eclipse and jump into the interactive python interpreter during execution?
I think that would be pretty handy ;)
edit: I want to emphasize that my goal is not to jump into a debugger. pydev/eclipse have a great debugger, and I can just look at the traceback and set break points.
What I want is to execute a script and jump into an interactive python interpreter during execution so I can do things like...
poke around
check the values of things
manipulate variables
figure out some code before I add it to the app
I know you can do this all with a debugger, but I can do it faster in the interactive interpreter because I can try something, see that it didn't work, and try something else without having get the app back to the point of executing that code again.
So roughly a year on from the OP's question, PyDev has this capability built in. I am not sure when this feature was introduced, but all I know is I've spent the last ~2hrs Googling... configuring iPython and whatever (which was looking like it would have done the job), but only to realise Eclipse/PyDev has what I want ootb.
As soon as you hit a breakpoint in debug mode, the console is right there ready and waiting!
I only didn't notice this as there is no prompt or blinking cursor; I had wrongly assumed it was a standard, output-only, console... but it's not. It even has code-completion.
Great stuff, see http://pydev.org/manual_adv_debug_console.html for more details.
This is from an old project, and I didn't write it, but it does something similar to what you want using ipython.
'''Start an IPython shell (for debugging) with current environment.
Runs Call db() to start a shell, e.g.
def foo(bar):
for x in bar:
if baz(x):
import ipydb; ipydb.db() # <-- start IPython here, with current value of x (ipydb is the name of this module).
.
'''
import inspect,IPython
def db():
'''Start IPython shell with callers environment.'''
# find callers
__up_frame = inspect.currentframe().f_back
eval('IPython.Shell.IPShellEmbed([])()', # Empty list arg is
# ipythons argv later args to dict take precedence, so
# f_globals() shadows globals(). Need globals() for IPython
# module.
dict(globals().items() + __up_frame.f_globals.items()),
__up_frame.f_locals)
edit by Jim Robert (question owner): If you place the above code into a file called my_debug.py for the sake of this example. Then place that file in your python path, and you can insert the following lines anywhere in your code to jump into a debugger (as long as you execute from a shell):
import my_debug
my_debug.db()
I've long been using this code in my sitecustomize.py to start a debugger on an exception. This can also be triggered by Ctrl+C. It works beautifully in the shell, don't know about eclipse.
import sys
def info(exception_type, value, tb):
if hasattr(sys, 'ps1') or not sys.stderr.isatty() or not sys.stdin.isatty() or not sys.stdout.isatty() or type==SyntaxError:
# we are in interactive mode or we don't have a tty-like
# device, so we call the default hook
sys.__excepthook__(exception_type, value, tb)
else:
import traceback
import pdb
if exception_type != KeyboardInterrupt:
try:
import growlnotify
growlnotify.growlNotify("Script crashed", sticky = False)
except ImportError:
pass
# we are NOT in interactive mode, print the exception...
traceback.print_exception(exception_type, value, tb)
print
# ...then start the debugger in post-mortem mode.
pdb.pm()
sys.excepthook = info
Here's the source and more discussion on StackOverflow.
You can jump into an interactive session using code.InteractiveConsole as described here; however I don't know how to trigger this from Eclipse.
A solution might be to intercept Ctrl+C to jump into this interactive console (using the signal module: signal.signal(signal.SIGINT, my_handler)), but it would probably change the execution context and you probably don't want this.
If you are already running in debug mode you can set an additional breakpoint if the program execution is currently paused (e.g. because you are already at a breakpoint). I just tried it out now with the latest Pydev - it works just fine.
If you are running normally (i.e. not in debug mode) all breakpoints will be ignored. No changes to breakpoints will alter the way a non-debug run works.