[Tutor] Debugging skills (Claude2 experiment)
dn
PythonList at DancesWithMice.info
Mon Jan 15 13:39:10 EST 2024
On 16/01/24 05:16, Mats Wichmann wrote:
...
>> If you come across someone who lands in just such a problem, where
>> his/her mental model is considerably at-odds with the interpreter; it
>> would be very interesting to see if/how an LLM helps them through.
>>
>> Alternately, if you can recall such circumstance, I'll be keen to try
>> to reproduce and to experiment...
>
> Well, I can name one very simple one: if you've programmed only in, for
> example C, your mental model is arrays are pre-allocated (and hopefully
> you remember the fixed size so you don't go out of bounds), so you might
> try to use a Python list the same way - the syntax looks similar, after
> all...
>
> data = []
> for i in range(5):
> data[i] = i
>
> IndexError: list assignment index out of range
>
> Wait, what?
>
> Obviously you then quickly learn, so I'm not sure this was a
> particularly useful example, but the brain wants to follow patterns it
> knows.
From Claude2:-
DN
You are a Master of programming computers in Python. A trainee's code
shows the following error:
```python
data = []
for i in range(5):
data[i] = i
IndexError: list assignment index out of range
```
What is the correct Python idiom to use? Please correct the code.
Claude2
The error occurs because the trainee is trying to assign values to
indexes in the data list that don't exist yet. Python lists need to be
resized first before assigning to an index.
The idiomatic way to build up a list in Python is to use the append()
method:
python
Copy code
data = []
for i in range(5):
data.append(i)
This dynamically grows the list as new elements are added.
The corrected code should use append() instead of directly accessing
indexes that are out of bounds. This avoids the IndexError and builds up
the list correctly.
DN
Please re-express the answer in simple terms to suit someone who is just
starting to learn Python.
Claude2
Here is how I would explain it to a beginning Python learner:
When you create a new list in Python like:
python
Copy code
data = []
It starts out empty. So if you try to store values in the list by
referring to index numbers:
python
Copy code
data[0] = 1
data[1] = 2
Python will give an error because you are trying to store data in slots
that don't exist yet in the empty list.
The right way is to use the append() method which will automatically
grow the list:
python
Copy code
data = []
data.append(1)
data.append(2)
Now data contains [1, 2] even though it started empty.
append() adds each new value to the end of the list, one by one. This
builds up the list dynamically instead of assuming it already has slots
assigned.
So in the original code, use append() inside the loop instead of
directly accessing indexes. This will fix the error and build up the
list properly.
DN
Why aren't the slots assigned, or at least accessible, when create a new
list in Python? Having created the list, why not write data[ 0 ] = 1?
Claude2
Great question! When you create a new list in Python with data = [], it
initializes a data structure that holds references to object values
stored in the list. But since the list is empty, there are no values
referenced yet by any indexes.
The key is that in Python, lists are dynamic arrays under the hood. When
you write data[0], Python checks if a 0th element exists yet to store
that value. If not, it raises the index error.
In languages like C, arrays have fixed pre-allocated sizes, so data[0]
would work there even on a new array, by assuming index 0 exists.
But Python handles sizing and memory allocation for you automatically.
It grows lists dynamically as you append objects. So append() builds out
those referenced slots one by one, while accessing indexes directly
assumes those slots already were set up.
In summary, Python lists start empty and unsupported indexes aren't
pre-created. Appending objects builds out the referenced structure. So
new Python programmers should reach for append() rather than assume
lists have default pre-made slots on creation.
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--
Regards,
=dn
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