Re: [Numpy-discussion] better error message possible?

2012-06-07 Thread Travis Vaught

On Jun 7, 2012, at 4:32 AM, Paul Anton Letnes wrote:

> 
> On 7. juni 2012, at 10:30, Thouis (Ray) Jones wrote:
> 
>> I've opened a PR at https://github.com/numpy/numpy/pull/296 for discussion.
>> 
>> A typical result
>> 
> np.zeros((3,3))[[1,2,3]]
>> Traceback (most recent call last):
>> File "", line 1, in 
>> IndexError: index 3 is out of bounds for axis 0: [-3,3)
>> 
>> Ray Jones
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> 
> 
> I would prefer:
> IndexError: index 3 is out of bounds for axis 0: [-3,2]
> as I find the 3) notation a bit weird - after all, indices are not floats, so 
> 2.999 or 2.3 doesn't make sense as an index.

Actually, with slicing, you can attempt indexing using floats (as referred to 
here: 
http://stackoverflow.com/questions/8514547/why-ndarray-allow-floating-point-index),
 so I disagree with the integer notation [-3,2]

I actually prefer the subsequent suggestion of reporting the shape, since 
that's what I always check when debugging index errors anyway -- having it in 
the error message would save me a ton of time.


> 
> An alternative is to not refer to negative indices and say
> IndexError: index 3 is out of bounds for axis 0, shape was: (3,)
> (print more axes when the number of axes is higher.)
> 
> BTW, I'm really glad someone is taking an interest in these error messages, 
> it's a great idea!
> 

… an enthusiastic +1!

> Paul
> 

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Re: [Numpy-discussion] better error message possible?

2012-06-07 Thread Thouis (Ray) Jones
On Thu, Jun 7, 2012 at 11:44 AM, Dave Hirschfeld
 wrote:
> Paul Anton Letnes  gmail.com> writes:
>
>> I would prefer:
>> IndexError: index 3 is out of bounds for axis 0: [-3,2]
>> as I find the 3) notation a bit weird - after all, indices are not floats, so
> 2.999 or 2.3 doesn't make sense as
>> an index.
>>
>> An alternative is to not refer to negative indices and say
>> IndexError: index 3 is out of bounds for axis 0, shape was: (3,)
>> (print more axes when the number of axes is higher.)
>>
>
> +1 for the latter suggestion - if the array shape is available it's a great
> help in debugging the error.

I agree that reporting the shape would be good, but it's usually not
available at the point that the indices are found to be out-of-bounds,
due to (often implicit) flattening.  I think it might be possible to
track and report that the array was flattened, which might help avoid
some confusion when the maximum index reported in the Exception
doesn't match any of the dimensions of the array being indexed due to
flattening.

Another possibility I entertained was to split the too-high vs. too-low cases:
IndexError: index 3 is out of bounds for axis 0: must be < 3
IndexError: index -4 is out of bounds for axis 0: must be >= -3

Ray Jones
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Re: [Numpy-discussion] better error message possible?

2012-06-07 Thread Dave Hirschfeld
Paul Anton Letnes  gmail.com> writes:

> I would prefer:
> IndexError: index 3 is out of bounds for axis 0: [-3,2]
> as I find the 3) notation a bit weird - after all, indices are not floats, so 
2.999 or 2.3 doesn't make sense as
> an index.
> 
> An alternative is to not refer to negative indices and say
> IndexError: index 3 is out of bounds for axis 0, shape was: (3,)
> (print more axes when the number of axes is higher.)
> 

+1 for the latter suggestion - if the array shape is available it's a great 
help in debugging the error.

An alternative wording could be:

IndexError: Index 3 is out of bounds for axis 0 of an array of shape (3,2,4)

-Dave

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Re: [Numpy-discussion] better error message possible?

2012-06-07 Thread Paul Anton Letnes

On 7. juni 2012, at 10:30, Thouis (Ray) Jones wrote:

> I've opened a PR at https://github.com/numpy/numpy/pull/296 for discussion.
> 
> A typical result
> 
 np.zeros((3,3))[[1,2,3]]
> Traceback (most recent call last):
>  File "", line 1, in 
> IndexError: index 3 is out of bounds for axis 0: [-3,3)
> 
> Ray Jones
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> http://mail.scipy.org/mailman/listinfo/numpy-discussion


I would prefer:
IndexError: index 3 is out of bounds for axis 0: [-3,2]
as I find the 3) notation a bit weird - after all, indices are not floats, so 
2.999 or 2.3 doesn't make sense as an index.

An alternative is to not refer to negative indices and say
IndexError: index 3 is out of bounds for axis 0, shape was: (3,)
(print more axes when the number of axes is higher.)

BTW, I'm really glad someone is taking an interest in these error messages, 
it's a great idea!

Paul
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Re: [Numpy-discussion] better error message possible?

2012-06-07 Thread Thouis (Ray) Jones
I've opened a PR at https://github.com/numpy/numpy/pull/296 for discussion.

A typical result

>>> np.zeros((3,3))[[1,2,3]]
Traceback (most recent call last):
  File "", line 1, in 
IndexError: index 3 is out of bounds for axis 0: [-3,3)

Ray Jones
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Re: [Numpy-discussion] better error message possible?

2012-06-05 Thread Thouis Jones
On Tue, Jun 5, 2012 at 12:15 PM, Thouis Jones  wrote:
> On Mon, Jun 4, 2012 at 11:49 PM, Nathaniel Smith  wrote:
>> On Mon, Jun 4, 2012 at 10:00 PM, Thouis (Ray) Jones  wrote:
>>> On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones  wrote:
 I could look into this.  There are only ~10 places the code generates
 this error, so it should be a pretty minor change.
>>>
>>> My initial estimate was low, but not overly so.  An initial pass at
>>> adding index/dimension information to IndexErrors is here:
>>> https://github.com/thouis/numpy/tree/index_error_info
>>
>> Fabulous! I made a few comments there, but also:
>>
>>> A typical result:
>>>
>> numpy.zeros(3)[5]
>>> Traceback (most recent call last):
>>>  File "", line 1, in 
>>> IndexError: index 5 out of bounds in dimension 0
>>
>> I would say "for", not "in".
>>
>> "index 5" is a bit ambiguous too... people might mis-read it as the
>> dimension, like, "the 5th index value I gave"? Not sure how to make it
>> unambiguous. Maybe:
>>
>> "IndexError: dimension 0 index out of bounds: got 5, size is 3"
>>
>> ?
>
> How about:
> IndexError: 5 is out of bounds for dimension 0: must be in [-3, 3).
>
> to be maximally explicit about what values are allowed, and avoid the
> "index" confusion.

Or perhaps "axis" instead of "dimension", since this is how they are
referred to in most numpy argument lists.
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Re: [Numpy-discussion] better error message possible?

2012-06-05 Thread Thouis Jones
On Mon, Jun 4, 2012 at 11:49 PM, Nathaniel Smith  wrote:
> On Mon, Jun 4, 2012 at 10:00 PM, Thouis (Ray) Jones  wrote:
>> On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones  wrote:
>>> I could look into this.  There are only ~10 places the code generates
>>> this error, so it should be a pretty minor change.
>>
>> My initial estimate was low, but not overly so.  An initial pass at
>> adding index/dimension information to IndexErrors is here:
>> https://github.com/thouis/numpy/tree/index_error_info
>
> Fabulous! I made a few comments there, but also:
>
>> A typical result:
>>
> numpy.zeros(3)[5]
>> Traceback (most recent call last):
>>  File "", line 1, in 
>> IndexError: index 5 out of bounds in dimension 0
>
> I would say "for", not "in".
>
> "index 5" is a bit ambiguous too... people might mis-read it as the
> dimension, like, "the 5th index value I gave"? Not sure how to make it
> unambiguous. Maybe:
>
> "IndexError: dimension 0 index out of bounds: got 5, size is 3"
>
> ?

How about:
IndexError: 5 is out of bounds for dimension 0: must be in [-3, 3).

to be maximally explicit about what values are allowed, and avoid the
"index" confusion.

Ray Jones
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Re: [Numpy-discussion] better error message possible?

2012-06-04 Thread Nathaniel Smith
On Mon, Jun 4, 2012 at 10:00 PM, Thouis (Ray) Jones  wrote:
> On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones  wrote:
>> I could look into this.  There are only ~10 places the code generates
>> this error, so it should be a pretty minor change.
>
> My initial estimate was low, but not overly so.  An initial pass at
> adding index/dimension information to IndexErrors is here:
> https://github.com/thouis/numpy/tree/index_error_info

Fabulous! I made a few comments there, but also:

> A typical result:
>
 numpy.zeros(3)[5]
> Traceback (most recent call last):
>  File "", line 1, in 
> IndexError: index 5 out of bounds in dimension 0

I would say "for", not "in".

"index 5" is a bit ambiguous too... people might mis-read it as the
dimension, like, "the 5th index value I gave"? Not sure how to make it
unambiguous. Maybe:

"IndexError: dimension 0 index out of bounds: got 5, size is 3"

?

> I thought it best to have erroring indices report their initial value:
>
 numpy.zeros(3)[-15]
> Traceback (most recent call last):
>  File "", line 1, in 
> IndexError: index -15 out of bounds in dimension 0
>
> This is different from some places in the code where IndexErrors
> already had bad index and dimension information (including the maximum
> value possible for an index in that dimension).  I left these alone,
> though most of them would report that the bad index was -12 instead of
> -15.  For instance:
> https://github.com/thouis/numpy/blob/index_error_info/numpy/core/src/multiarray/mapping.c#L1640

I think this code you link to is actually correct, but yeah, it should
definitely report whatever the user passed in, or it will be a
debugging hindrance rather than a debugging help!

> Also there were a few indexing errors that were throwing ValueErrors.
> I changed these to IndexErrors.
>
> If someone could give this a cursory review before I issue a PR, I'd
> appreciate it.  I don't expect that most of these code paths are
> heavily exercised in the tests (but I could be wrong).

Perhaps the easiest thing would be to just add a test? It should be
about 1 line each per code path... or 2 if you check both the negative
and positive versions.

def test_index_bound_checking():
assert_raises(IndexError, my_array.__getitem__, (0, 100))
assert_raises(IndexError, my_array.__getitem__, (0, -101))
# etc.

- N
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Re: [Numpy-discussion] better error message possible?

2012-06-04 Thread Thouis (Ray) Jones
On Mon, Jun 4, 2012 at 4:27 PM, Thouis (Ray) Jones  wrote:
> On Fri, Jun 1, 2012 at 6:56 PM, Chris Withers  wrote:
>> On 01/06/2012 16:39, Benjamin Root wrote:
>>>
>>>
>>>      > >>> import numpy
>>>      > >>> numpy.zeros(10)[-123]
>>>      > Traceback (most recent call last):
>>>      >   File "", line 1, in 
>>>      > IndexError: index out of bounds
>>>      >
>>>      > ...could say this:
>>>      >
>>>      > >>> numpy.zeros(10)[-123]
>>>      > Traceback (most recent call last):
>>>      >   File "", line 1, in 
>>>      > IndexError: -123 is out of bounds
>>>
>>>     Only that no-one has implemented it, I guess. If you want to then
>>>     that'd be cool :-).
>>>
>>>     To be generally useful for debugging, it would probably be good for
>>>     the error message to also mention which dimension is involved, and/or
>>>     the actual size of the array in that dimension. You can also get such
>>>     error messages from expressions like 'arr[i, j, k]', after all, where
>>>     it's even less obvious what went wrong.
>>>
>>>     -- Nathaniel
>>>
>>>
>>> +1, please!
>>
>> Indeed, sadly I'm not a C developer. It's a pet bugbear of mine that
>> Python's built-in exceptions often tell you what went wrong but not what
>> data caused the error, even when it's easily to hand when raising the
>> exception.
>
> I could look into this.  There are only ~10 places the code generates
> this error, so it should be a pretty minor change.

My initial estimate was low, but not overly so.  An initial pass at
adding index/dimension information to IndexErrors is here:
https://github.com/thouis/numpy/tree/index_error_info

A typical result:

>>> numpy.zeros(3)[5]
Traceback (most recent call last):
  File "", line 1, in 
IndexError: index 5 out of bounds in dimension 0

I thought it best to have erroring indices report their initial value:

>>> numpy.zeros(3)[-15]
Traceback (most recent call last):
  File "", line 1, in 
IndexError: index -15 out of bounds in dimension 0

This is different from some places in the code where IndexErrors
already had bad index and dimension information (including the maximum
value possible for an index in that dimension).  I left these alone,
though most of them would report that the bad index was -12 instead of
-15.  For instance:
https://github.com/thouis/numpy/blob/index_error_info/numpy/core/src/multiarray/mapping.c#L1640

Also there were a few indexing errors that were throwing ValueErrors.
I changed these to IndexErrors.

If someone could give this a cursory review before I issue a PR, I'd
appreciate it.  I don't expect that most of these code paths are
heavily exercised in the tests (but I could be wrong).

Ray Jones
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Re: [Numpy-discussion] better error message possible?

2012-06-04 Thread Paul Anton Letnes

On 4. juni 2012, at 16:27, Thouis (Ray) Jones wrote:

> On Fri, Jun 1, 2012 at 6:56 PM, Chris Withers  wrote:
>> On 01/06/2012 16:39, Benjamin Root wrote:
>>> 
>>> 
>>>  > >>> import numpy
>>>  > >>> numpy.zeros(10)[-123]
>>>  > Traceback (most recent call last):
>>>  >   File "", line 1, in 
>>>  > IndexError: index out of bounds
>>>  >
>>>  > ...could say this:
>>>  >
>>>  > >>> numpy.zeros(10)[-123]
>>>  > Traceback (most recent call last):
>>>  >   File "", line 1, in 
>>>  > IndexError: -123 is out of bounds
>>> 
>>> Only that no-one has implemented it, I guess. If you want to then
>>> that'd be cool :-).
>>> 
>>> To be generally useful for debugging, it would probably be good for
>>> the error message to also mention which dimension is involved, and/or
>>> the actual size of the array in that dimension. You can also get such
>>> error messages from expressions like 'arr[i, j, k]', after all, where
>>> it's even less obvious what went wrong.
>>> 
>>> -- Nathaniel
>>> 
>>> 
>>> +1, please!
>> 
>> Indeed, sadly I'm not a C developer. It's a pet bugbear of mine that
>> Python's built-in exceptions often tell you what went wrong but not what
>> data caused the error, even when it's easily to hand when raising the
>> exception.
> 
> I could look into this.  There are only ~10 places the code generates
> this error, so it should be a pretty minor change.
> 
> Ray Jones

Isn't it useful even if you change it in just one of those locations? Better to 
have the information available when you can, than to never have it.

Paul

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Re: [Numpy-discussion] better error message possible?

2012-06-04 Thread Thouis (Ray) Jones
On Fri, Jun 1, 2012 at 6:56 PM, Chris Withers  wrote:
> On 01/06/2012 16:39, Benjamin Root wrote:
>>
>>
>>      > >>> import numpy
>>      > >>> numpy.zeros(10)[-123]
>>      > Traceback (most recent call last):
>>      >   File "", line 1, in 
>>      > IndexError: index out of bounds
>>      >
>>      > ...could say this:
>>      >
>>      > >>> numpy.zeros(10)[-123]
>>      > Traceback (most recent call last):
>>      >   File "", line 1, in 
>>      > IndexError: -123 is out of bounds
>>
>>     Only that no-one has implemented it, I guess. If you want to then
>>     that'd be cool :-).
>>
>>     To be generally useful for debugging, it would probably be good for
>>     the error message to also mention which dimension is involved, and/or
>>     the actual size of the array in that dimension. You can also get such
>>     error messages from expressions like 'arr[i, j, k]', after all, where
>>     it's even less obvious what went wrong.
>>
>>     -- Nathaniel
>>
>>
>> +1, please!
>
> Indeed, sadly I'm not a C developer. It's a pet bugbear of mine that
> Python's built-in exceptions often tell you what went wrong but not what
> data caused the error, even when it's easily to hand when raising the
> exception.

I could look into this.  There are only ~10 places the code generates
this error, so it should be a pretty minor change.

Ray Jones
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Re: [Numpy-discussion] better error message possible?

2012-06-03 Thread Charles R Harris
On Fri, Jun 1, 2012 at 10:56 AM, Chris Withers wrote:

> On 01/06/2012 16:39, Benjamin Root wrote:
> >
> >
> >  > >>> import numpy
> >  > >>> numpy.zeros(10)[-123]
> >  > Traceback (most recent call last):
> >  >   File "", line 1, in 
> >  > IndexError: index out of bounds
> >  >
> >  > ...could say this:
> >  >
> >  > >>> numpy.zeros(10)[-123]
> >  > Traceback (most recent call last):
> >  >   File "", line 1, in 
> >  > IndexError: -123 is out of bounds
> >
> > Only that no-one has implemented it, I guess. If you want to then
> > that'd be cool :-).
> >
> > To be generally useful for debugging, it would probably be good for
> > the error message to also mention which dimension is involved, and/or
> > the actual size of the array in that dimension. You can also get such
> > error messages from expressions like 'arr[i, j, k]', after all, where
> > it's even less obvious what went wrong.
> >
> > -- Nathaniel
> >
> >
> > +1, please!
>
> Indeed, sadly I'm not a C developer. It's a pet bugbear of mine that
> Python's built-in exceptions often tell you what went wrong but not what
> data caused the error, even when it's easily to hand when raising the
> exception.
>
> Where's the right place to raise an issue that a numpy developer can
> hopefully make the (I suspect) simple change to get this behaviour?
>
>
Hmm, how about I enable github issues for the numpy repository? It looks
like we are headed that way and maybe now is a good time to get started.

Chuck
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Re: [Numpy-discussion] better error message possible?

2012-06-01 Thread Chris Withers
On 01/06/2012 16:39, Benjamin Root wrote:
>
>
>  > >>> import numpy
>  > >>> numpy.zeros(10)[-123]
>  > Traceback (most recent call last):
>  >   File "", line 1, in 
>  > IndexError: index out of bounds
>  >
>  > ...could say this:
>  >
>  > >>> numpy.zeros(10)[-123]
>  > Traceback (most recent call last):
>  >   File "", line 1, in 
>  > IndexError: -123 is out of bounds
>
> Only that no-one has implemented it, I guess. If you want to then
> that'd be cool :-).
>
> To be generally useful for debugging, it would probably be good for
> the error message to also mention which dimension is involved, and/or
> the actual size of the array in that dimension. You can also get such
> error messages from expressions like 'arr[i, j, k]', after all, where
> it's even less obvious what went wrong.
>
> -- Nathaniel
>
>
> +1, please!

Indeed, sadly I'm not a C developer. It's a pet bugbear of mine that 
Python's built-in exceptions often tell you what went wrong but not what 
data caused the error, even when it's easily to hand when raising the 
exception.

Where's the right place to raise an issue that a numpy developer can 
hopefully make the (I suspect) simple change to get this behaviour?

cheers,

Chris

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Re: [Numpy-discussion] better error message possible?

2012-06-01 Thread Chris Barker
>> On Fri, Jun 1, 2012 at 10:46 AM, Chris Withers 

>> > Any reason why this:
>> >
>> >  >>> import numpy
>> >  >>> numpy.zeros(10)[-123]
>> > Traceback (most recent call last):
>> >   File "", line 1, in 
>> > IndexError: index out of bounds
>> >
>> > ...could say this:
>> >
>> >  >>> numpy.zeros(10)[-123]
>> > Traceback (most recent call last):
>> >   File "", line 1, in 
>> > IndexError: -123 is out of bounds
>>
>> Only that no-one has implemented it, I guess. If you want to then
>> that'd be cool :-).

That would be nice, but to be fair, python itself doesn't do it either:

>>> l = range(10)
>>> l[12]
Traceback (most recent call last):
  File "", line 1, in 
IndexError: list index out of range

Though Python's standard error messages are lacking in a lot of places...

-Chris


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Re: [Numpy-discussion] better error message possible?

2012-06-01 Thread Benjamin Root
On Fri, Jun 1, 2012 at 9:14 AM, Nathaniel Smith  wrote:

> On Fri, Jun 1, 2012 at 10:46 AM, Chris Withers 
> wrote:
> > Hi All,
> >
> > Any reason why this:
> >
> >  >>> import numpy
> >  >>> numpy.zeros(10)[-123]
> > Traceback (most recent call last):
> >   File "", line 1, in 
> > IndexError: index out of bounds
> >
> > ...could say this:
> >
> >  >>> numpy.zeros(10)[-123]
> > Traceback (most recent call last):
> >   File "", line 1, in 
> > IndexError: -123 is out of bounds
>
> Only that no-one has implemented it, I guess. If you want to then
> that'd be cool :-).
>
> To be generally useful for debugging, it would probably be good for
> the error message to also mention which dimension is involved, and/or
> the actual size of the array in that dimension. You can also get such
> error messages from expressions like 'arr[i, j, k]', after all, where
> it's even less obvious what went wrong.
>
> -- Nathaniel
>

+1, please!

Ben Root
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Re: [Numpy-discussion] better error message possible?

2012-06-01 Thread Nathaniel Smith
On Fri, Jun 1, 2012 at 10:46 AM, Chris Withers  wrote:
> Hi All,
>
> Any reason why this:
>
>  >>> import numpy
>  >>> numpy.zeros(10)[-123]
> Traceback (most recent call last):
>   File "", line 1, in 
> IndexError: index out of bounds
>
> ...could say this:
>
>  >>> numpy.zeros(10)[-123]
> Traceback (most recent call last):
>   File "", line 1, in 
> IndexError: -123 is out of bounds

Only that no-one has implemented it, I guess. If you want to then
that'd be cool :-).

To be generally useful for debugging, it would probably be good for
the error message to also mention which dimension is involved, and/or
the actual size of the array in that dimension. You can also get such
error messages from expressions like 'arr[i, j, k]', after all, where
it's even less obvious what went wrong.

-- Nathaniel
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[Numpy-discussion] better error message possible?

2012-06-01 Thread Chris Withers
Hi All,

Any reason why this:

 >>> import numpy
 >>> numpy.zeros(10)[-123]
Traceback (most recent call last):
   File "", line 1, in 
IndexError: index out of bounds

...could say this:

 >>> numpy.zeros(10)[-123]
Traceback (most recent call last):
   File "", line 1, in 
IndexError: -123 is out of bounds

cheers,

Chris

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