# Aider chat conversation:
USER: I am getting this testing error on Windows: ======================================================================
ERROR: test_get_input_is_a_directory_error (test_io.TestInputOutput.test_get_input_is_a_directory_error)
----------------------------------------------------------------------
Traceback (most recent call last):
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\unittest\mock.py", line 1390, in patched
return func(*newargs, **newkeywargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\a\aider\aider\tests\test_io.py", line 60, in test_get_input_is_a_directory_error
result = io.get_input(root, rel_fnames, addable_rel_fnames, commands)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "D:\a\aider\aider\aider\io.py", line 186, in get_input
self.console.rule(**style)
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\console.py", line 1580, in rule
self.print(rule)
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\console.py", line 1673, in print
with self:
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\console.py", line 865, in __exit__
self._exit_buffer()
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\console.py", line 823, in _exit_buffer
self._check_buffer()
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\console.py", line 2027, in _check_buffer
legacy_windows_render(buffer, LegacyWindowsTerm(self.file))
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\_windows_renderer.py", line 17, in legacy_windows_render
term.write_styled(text, style)
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\_win32_console.py", line 442, in write_styled
self.write_text(text)
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\site-packages\rich\_win32_console.py", line 403, in write_text
self.write(text)
File "C:\hostedtoolcache\windows\Python\3.12.3\x64\Lib\encodings\cp1252.py", line 19, in encode
return codecs.charmap_encode(input,self.errors,encoding_table)[0]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
UnicodeEncodeError: 'charmap' codec can't encode characters in position 0-78: character maps to <undefined>
ASSISTANT: The error you're encountering is due to the `charmap` codec on Windows not being able to encode certain Unicode characters. To fix this, we can set the environment variable `PYTHONIOENCODING` to `utf-8` in the test to ensure that the console output uses UTF-8 encoding.
Let's update the test to set this environment variable:
tests/test_io.py
```python
<<<<<<< SEARCH
# Mock the PromptSession to simulate user input
=======
# Set the environment variable to ensure UTF-8 encoding
os.environ["PYTHONIOENCODING"] = "utf-8"
# Mock the PromptSession to simulate user input
>>>>>>> REPLACE
```
This change will ensure that the console output uses UTF-8 encoding, which should prevent the `UnicodeEncodeError` from occurring.
# Aider chat conversation:
USER: add a test case for this
ASSISTANT: To add a test case for the `get_input` method in the `InputOutput` class, we need to create a new test file. Let's create a new file named `test_io.py` in the `tests` directory and add the necessary test case.
Here is the *SEARCH/REPLACE* block to create the new test file:
tests/test_io.py
```python
<<<<<<< SEARCH
=======
import unittest
from unittest.mock import patch, MagicMock
from aider.io import InputOutput
class TestInputOutput(unittest.TestCase):
@patch('aider.io.PromptSession')
def test_get_input_is_a_directory_error(self, MockPromptSession):
# Mock the PromptSession to simulate user input
mock_session = MockPromptSession.return_value
mock_session.prompt.return_value = "test input"
io = InputOutput()
root = "/"
rel_fnames = ["existing_file.txt"]
addable_rel_fnames = ["new_file.txt"]
commands = MagicMock()
# Simulate IsADirectoryError
with patch('aider.io.open', side_effect=IsADirectoryError):
result = io.get_input(root, rel_fnames, addable_rel_fnames, commands)
self.assertEqual(result, "test input")
if __name__ == '__main__':
unittest.main()
>>>>>>> REPLACE
```
This test case uses the `unittest` framework and mocks the `PromptSession` to simulate user input. It also patches the `open` function to raise an `IsADirectoryError` and verifies that the `get_input` method handles it correctly.
USER: I added these files to the chat: tests/test_io.py.
If you need to propose edits to other existing files not already added to the chat, you *MUST* tell the me their full path names and ask me to *add the files to the chat*. End your reply and wait for my approval. You can keep asking if you then decide you need to edit more files.
ASSISTANT: Let's add the new test case to the existing `tests/test_io.py` file to ensure that the `get_input` method in the `InputOutput` class handles the `IsADirectoryError` exception appropriately.
Here is the *SEARCH/REPLACE* block to add the new test case:
tests/test_io.py
```python
<<<<<<< SEARCH
import os
import unittest
from pathlib import Path
from unittest.mock import patch
from aider.io import AutoCompleter, InputOutput
from aider.utils import ChdirTemporaryDirectory
class TestInputOutput(unittest.TestCase):
def test_no_color_environment_variable(self):
with patch.dict(os.environ, {"NO_COLOR": "1"}):
io = InputOutput()
self.assertFalse(io.pretty)
def test_autocompleter_with_non_existent_file(self):
root = ""
rel_fnames = ["non_existent_file.txt"]
addable_rel_fnames = []
commands = None
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
def test_autocompleter_with_unicode_file(self):
with ChdirTemporaryDirectory():
root = ""
fname = "file.py"
rel_fnames = [fname]
addable_rel_fnames = []
commands = None
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
Path(fname).write_text("def hello(): pass\n")
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames + ["hello"]))
encoding = "utf-16"
some_content_which_will_error_if_read_with_encoding_utf8 = "ÅÍÎÏ".encode(encoding)
with open(fname, "wb") as f:
f.write(some_content_which_will_error_if_read_with_encoding_utf8)
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
=======
import os
import unittest
from pathlib import Path
from unittest.mock import patch, MagicMock
from aider.io import AutoCompleter, InputOutput
from aider.utils import ChdirTemporaryDirectory
class TestInputOutput(unittest.TestCase):
def test_no_color_environment_variable(self):
with patch.dict(os.environ, {"NO_COLOR": "1"}):
io = InputOutput()
self.assertFalse(io.pretty)
def test_autocompleter_with_non_existent_file(self):
root = ""
rel_fnames = ["non_existent_file.txt"]
addable_rel_fnames = []
commands = None
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
def test_autocompleter_with_unicode_file(self):
with ChdirTemporaryDirectory():
root = ""
fname = "file.py"
rel_fnames = [fname]
addable_rel_fnames = []
commands = None
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
Path(fname).write_text("def hello(): pass\n")
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames + ["hello"]))
encoding = "utf-16"
some_content_which_will_error_if_read_with_encoding_utf8 = "ÅÍÎÏ".encode(encoding)
with open(fname, "wb") as f:
f.write(some_content_which_will_error_if_read_with_encoding_utf8)
autocompleter = AutoCompleter(root, rel_fnames, addable_rel_fnames, commands, "utf-8")
self.assertEqual(autocompleter.words, set(rel_fnames))
@patch('aider.io.PromptSession')
def test_get_input_is_a_directory_error(self, MockPromptSession):
# Mock the PromptSession to simulate user input
mock_session = MockPromptSession.return_value
mock_session.prompt.return_value = "test input"
io = InputOutput()
root = "/"
rel_fnames = ["existing_file.txt"]
addable_rel_fnames = ["new_file.txt"]
commands = MagicMock()
# Simulate IsADirectoryError
with patch('aider.io.open', side_effect=IsADirectoryError):
result = io.get_input(root, rel_fnames, addable_rel_fnames, commands)
self.assertEqual(result, "test input")
>>>>>>> REPLACE
```
This will add the new test case to the existing `tests/test_io.py` file.
# Aider chat conversation:
USER: reverse the order of the bars, so they go short->tall
ASSISTANT: To reverse the order of the bars from short to tall, we can reverse the order of the `models` and `pass_rates` lists before plotting:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
models = []
pass_rates = []
for line in lines:
if line.strip():
pass_rate, model = line.split("%")
model = model.strip()
model = model.replace("|", "\n")
models.append(model.strip())
pass_rates.append(float(pass_rate.strip()))
=======
models = []
pass_rates = []
for line in lines:
if line.strip():
pass_rate, model = line.split("%")
model = model.strip()
model = model.replace("|", "\n")
models.insert(0, model.strip())
pass_rates.insert(0, float(pass_rate.strip()))
>>>>>>> REPLACE
```
This change uses `insert(0, ...)` instead of `append()` to add each model and pass rate to the beginning of their respective lists. This will effectively reverse the order, so the bars will be plotted from shortest to tallest.
# Aider chat conversation:
USER: there's no visible difference bwteen the bold and light fonts?
ASSISTANT: To make the bold font more visible, we can increase the font weight. Here are the changes:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
fontweight = "bold" if "Aider" in model else "normal"
=======
fontweight = 800 if "Aider" in model else "normal"
>>>>>>> REPLACE
```
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
label.set_fontweight("bold")
=======
label.set_fontweight(800)
>>>>>>> REPLACE
```
This sets the font weight to 800 for the "Aider" labels, which should make them bolder and more visibly distinct from the other labels.
# Aider chat conversation:
USER: there's no visible difference bwteen the bold and light fonts?
ASSISTANT: To ensure that the bold and light fonts are visibly different, we can use "normal" instead of "light" for the non-Aider bars. This should provide a more noticeable contrast.
Here are the *SEARCH/REPLACE* blocks:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
fontweight = "bold" if "Aider" in model else "light"
=======
fontweight = "bold" if "Aider" in model else "normal"
>>>>>>> REPLACE
```
Let's make this change and see if it improves the visibility of the font differences.
# Aider chat conversation:
USER: make the percentages on top of aiders bars bold. make the aider x labels bold too
ASSISTANT: To make the percentages on top of Aider's bars bold and the Aider x labels bold, we need to modify the text properties in the plotting section.
Here are the *SEARCH/REPLACE* blocks:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
if "Aider" in model:
y = yval + 0.75
va = "bottom"
else:
y = yval - 1.25
va = "top"
ax.text(
bar.get_x() + bar.get_width() / 2,
y,
f"{yval}%",
ha="center",
va=va,
fontsize=14,
# alpha=0.75,
)
=======
y = yval + 0.75 if "Aider" in model else yval - 1.25
va = "bottom" if "Aider" in model else "top"
fontweight = "bold" if "Aider" in model else "normal"
ax.text(
bar.get_x() + bar.get_width() / 2,
y,
f"{yval}%",
ha="center",
va=va,
fontsize=14,
fontweight=fontweight,
)
>>>>>>> REPLACE
```
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
plt.xticks(
# rotation=45,
# ha="center",
fontsize=16,
color=font_color,
)
=======
xticks = plt.xticks(
fontsize=16,
color=font_color,
)
for label in xticks[1]:
if "Aider" in label.get_text():
label.set_fontweight("bold")
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: can we use more alpha for the aider bars and less alpha for the other bars?
ASSISTANT: To adjust the alpha values for the bars, we need to modify the section where the bars are created and set their alpha values based on whether the model name contains "Aider".
Here is the *SEARCH/REPLACE* block:
benchmark/swe_bench_lite.py
```python
<<<<<<< SEARCH
bars = ax.bar(models, pass_rates, color=colors, alpha=0.75, zorder=3)
=======
bars = []
for model, pass_rate, color in zip(models, pass_rates, colors):
alpha = 0.9 if "Aider" in model else 0.5
bar = ax.bar(model, pass_rate, color=color, alpha=alpha, zorder=3)
bars.append(bar[0])
>>>>>>> REPLACE
```
# Aider chat conversation:
USER: do the todo
ASSISTANT: To address the TODO comment, we need to implement a regex to find all URLs in the input string. Here are the changes:
1. Import the `re` module for regular expressions.
2. Implement the `check_for_urls` method to find and process URLs in the input string.
Here are the *SEARCH/REPLACE* blocks:
aider/coders/base_coder.py
```python
<<<<<<< SEARCH
import hashlib
=======
import hashlib
import re
>>>>>>> REPLACE
```
aider/coders/base_coder.py
```python
<<<<<<< SEARCH
# todo use a regex to find all urls in inp
return inp
=======
url_pattern = re.compile(
r'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\\(\\),]|(?:%[0-9a-fA-F][0-9a-fA-F]))+'
)
urls = url_pattern.findall(inp)
if urls:
self.io.tool_output(f"Found URLs: {', '.join(urls)}")
return inp
>>>>>>> REPLACE
```
This will implement the functionality to find all URLs in the input string using a regular expression.
# Aider chat conversation:
USER: proofread this and make corrections. don't change style, but fix problems.
ASSISTANT: _posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider scored 26.3%
on the
[SWE Bench Lite benchmark](https://www.swebench.com), achieving a state of the art result.
The current top leaderboard entry is 20.3%
from Amazon Q Developer Agent.
The best result reported elsewhere online seems to be
=======
Aider scored 26.3% on the [SWE Bench Lite benchmark](https://www.swebench.com), achieving a state-of-the-art result. The current top leaderboard entry is 20.3% from Amazon Q Developer Agent. The best result reported elsewhere online seems to be
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider achieved this result mainly through its focus on static code analysis,
reliable LLM code editing
and pragmatic workflows for interactive pair programming with AI.
Aider intentionally has quite limited and narrow "agentic behavior":
it doesn't require a highly detailed upfront "spec" from
^C KeyboardInterrupt
USER: don't fix formatting like that. linebreaks are fine. it will render properly.
ASSISTANT: Understood. I will only fix grammatical and spelling errors without changing the formatting.
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider scored 26.3%
on the
[SWE Bench Lite benchmark](https://www.swebench.com), achieving a state of the art result.
The current top leaderboard entry is 20.3%
from Amazon Q Developer Agent.
The best result reported elsewhere online seems to be
[22.3% from AutoCodeRover](https://github.com/nus-apr/auto-code-rover).
=======
Aider scored 26.3%
on the
[SWE Bench Lite benchmark](https://www.swebench.com), achieving a state-of-the-art result.
The current top leaderboard entry is 20.3%
from Amazon Q Developer Agent.
The best result reported elsewhere online seems to be
[22.3% from AutoCodeRover](https://github.com/nus-apr/auto-code-rover).
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider achieved this result mainly through its focus on static code analysis,
reliable LLM code editing
and pragmatic workflows for interactive pair programming with AI.
Aider intentionally has quite limited and narrow "agentic behavior":
it doesn't require a highly detailed upfront "spec" from the user,
use RAG or vector search, farm out sub-problems to an army of LLMs,
allow the LLM to use tools
or perform web searches,
=======
Aider achieved this result mainly through its focus on static code analysis,
reliable LLM code editing,
and pragmatic workflows for interactive pair programming with AI.
Aider intentionally has quite limited and narrow "agentic behavior":
it doesn't require a highly detailed upfront "spec" from the user,
use RAG or vector search, farm out sub-problems to an army of LLMs,
allow the LLM to use tools,
or perform web searches,
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
When a user asks aider for a change, they see the edits performed in real-time
and aider may also then offer additional
help like fixing lint or test errors.
In normal use, the user is in full interactive control.
This lets them quickly steer misunderstandings back on course and
=======
When a user asks aider for a change, they see the edits performed in real-time,
and aider may also then offer additional
help like fixing lint or test errors.
In normal use, the user is in full interactive control.
This lets them quickly steer misunderstandings back on course and
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
For the benchmark,
aider was launched in each problem's git repository
with the problem statement
submitted as the opening chat message from "the user".
After that aider runs as normal, with the following modifications:
=======
For the benchmark,
aider was launched in each problem's git repository
with the problem statement
submitted as the opening chat message from "the user."
After that aider runs as normal, with the following modifications:
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
- A simple harness was used to retry the SWE Bench problem if aider produced code which wasn't *plausibly correct*.
=======
- A simple harness was used to retry the SWE Bench problem if aider produced code that wasn't *plausibly correct*.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
- If the solution isn't plausible, the harness launches aider to try again from scratch
=======
- If the solution isn't plausible, the harness launches aider to try again from scratch,
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
- If aider doesn't produce code that lints and tests clean, the user might decide to revert the changes and try again. Maybe with a different LLM this time.
=======
- If aider doesn't produce code that lints and tests clean, the user might decide to revert the changes and try again, maybe with a different LLM this time.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Of course, outside a benchmark setting it's probably
=======
Of course, outside a benchmark setting, it's probably
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Running the entire SWE Bench Lite benchmark using aider with just GPT-4o
achieved a score of 25%.
This was itself a state of the art result, before being surpassed by the main
result being reported here
that used aider with both GPT-4o & Opus.
=======
Running the entire SWE Bench Lite benchmark using aider with just GPT-4o
achieved a score of 25%.
This was itself a state-of-the-art result, before being surpassed by the main
result being reported here
that used aider with both GPT-4o & Opus.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
The table below breaks down the 79 solutions which were ultimately
=======
The table below breaks down the 79 solutions that were ultimately
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
- Aider with GPT-4o immediately found 77% of the valid solutions on the first attempt.
=======
- Aider with GPT-4o immediately found 77% of the valid solutions on the first attempt.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
If we breakdown correct solutions purely by model,
=======
If we break down correct solutions purely by model,
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider instead uses a
[repository map](https://aider.chat/2023/10/22/repomap.html)
to help the LLM understand the
layout, code structure and content of a git repo.
The repo map is created from the code's AST and call graph
to provide a compact and powerful summary of the entire code base.
The map is constantly
tailored to show
repo context that is relevant to the current state of the chat conversation.
This is done by performing a graph optimization on the code's call graph.
=======
Aider instead uses a
[repository map](https://aider.chat/2023/10/22/repomap.html)
to help the LLM understand the
layout, code structure, and content of a git repo.
The repo map is created from the code's AST and call graph
to provide a compact and powerful summary of the entire code base.
The map is constantly
tailored to show
repo context that is relevant to the current state of the chat conversation.
This is done by performing a graph optimization on the code's call graph.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
When the user asks for a change to their code, the LLM uses the repo map
to decide which files to edit.
The LLM simply returns a normal text response explaining which files
it needs to edit and why.
Aider notices when the LLM mentions filenames from the repo,
and asks the user if they should be added to the chat.
Adding a file to the chat allows the LLM to see the full contents
of the file and edit it.
=======
When the user asks for a change to their code, the LLM uses the repo map
to decide which files to edit.
The LLM simply returns a normal text response explaining which files
it needs to edit and why.
Aider notices when the LLM mentions filenames from the repo,
and asks the user if they should be added to the chat.
Adding a file to the chat allows the LLM to see the full contents
of the file and edit it.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider has always had a deep focus on ensuring that LLMs can not just write code,
but reliably *edit* code.
Aider a collection of prompting strategies and code editing backends which have
=======
Aider has always had a deep focus on ensuring that LLMs can not just write code,
but reliably *edit* code.
Aider has a collection of prompting strategies and code editing backends which have
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
[Aider lints code]()
after every LLM edit, and offers to automatically fix
=======
[Aider lints code](https://aider.chat/docs/linting/)
after every LLM edit and offers to automatically fix
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider includes basic linters built with tree-sitter that support
=======
Aider includes basic linters built with tree-sitter that supports
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
This context increases the ability of the LLM to understand the problem and
=======
This context increases the ability of the LLM to understand the problem and
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
A user working on a python project might do that by launching
=======
A user working on a Python project might do that by launching
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
The repositories that are used in the SWE Bench problems are large open
=======
The repositories that are used in the SWE Bench problems are large, open
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
A repo's test suite can be run in three ways:
=======
A repo's test suite can be run in three ways:
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
2. Run tests after aider has modified the repo.
=======
2. Run tests after aider has modified the repo.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
3. Run the final "acceptance tests" to judge if the coding agent has
=======
3. Run the final "acceptance tests" to judge if the coding agent has
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
For the benchmark, aider is configured with a test command that will run the tests
=======
For the benchmark, aider is configured with a test command that will run the tests
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
When aider runs a test command, it checks for a non-zero exit status.
=======
When aider runs a test command, it checks for a non-zero exit status.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
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To be clear, *aider can not run or even see the "acceptance tests"* from the `test_patch`
=======
To be clear, *aider cannot run or even see the "acceptance tests"* from the `test_patch`
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
As aider executes, it notes the outcome of the editing, linting and testing
steps.
When aider completes, it returns their final status as either:
succeeded with no errors remaining,
or ended without resolving all errors.
=======
As aider executes, it notes the outcome of the editing, linting, and testing
steps.
When aider completes, it returns its final status as either:
succeeded with no errors remaining,
or ended without resolving all errors.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
The benchmark harness uses these outcomes to determine if it has a plausible
solution to the current SWE Bench task.
A plausible solution is one where aider
returns saying that it
edited the repo with no outstanding
edit, lint or test errors.
=======
The benchmark harness uses these outcomes to determine if it has a plausible
solution to the current SWE Bench task.
A plausible solution is one where aider
returns saying that it
edited the repo with no outstanding
edit, lint, or test errors.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
If the solution is not plausible, another
instance of aider is launched again from scratch on the same problem.
=======
If the solution is not plausible, another
instance of aider is launched again from scratch on the same problem.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
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<<<<<<< SEARCH
It's worth noting that repositories may have lint or test errors present before aider even starts to edit them. Whether errors are caused by aider or were pre-existing, there will be instances where, after six tries, no plausible solution is obtained.
=======
It's worth noting that repositories may have lint or test errors present before aider even starts to edit them. Whether errors are caused by aider or were pre-existing, there will be instances where, after six tries, no plausible solution is obtained.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
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<<<<<<< SEARCH
If all six attempts fail to produce a plausible solution,
then the "best" solution available is selected as a the
=======
If all six attempts fail to produce a plausible solution,
then the "best" solution available is selected as the
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
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Which of the non-plausible solutions to use is determined
=======
Which of the non-plausible solutions to use is determined
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
The benchmark harness produces one "best" solution for each of the 300
SWE Bench Lite instances, and saves it as a `model_patch`.
A separate evaluation script uses the SWE Bench support code to
test each of these results with the acceptance tests.
=======
The benchmark harness produces one "best" solution for each of the 300
SWE Bench Lite instances and saves it as a `model_patch`.
A separate evaluation script uses the SWE Bench support code to
test each of these results with the acceptance tests.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
These `test_patch` acceptance tests are only ever run outside of aider
and the benchmark harness, and only to compute the number of
correctly resolved instances.
They are never run, used or even visible during the attempts to solve the problems.
=======
These `test_patch` acceptance tests are only ever run outside of aider
and the benchmark harness, and only to compute the number of
correctly resolved instances.
They are never run, used, or even visible during the attempts to solve the problems.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
<source>markdown
<<<<<<< SEARCH
Aider correctly resolved 79 out of 300 SWE Bench Lite instances, or 26.3%.
=======
Aider correctly resolved 79 out of 300 SWE Bench Lite instances, or 26.3%.
>>>>>>> REPLACE
</source>
_posts/2024-05-22-swe-bench-lite.md
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<<<<<<< SEARCH
Much thanks to the team behind the
[SWE Bench](https://www.swebench.com)
family of AI coding benchmarks.
Also thanks to Albert Örwall who has
[dockerized the SWE Bench evaluation scripts](SWE-bench-docker)
making it faster, easier and more reliable to run the acceptance tests.
=======
Much thanks to the team behind the
[SWE Bench](https://www.swebench.com)
family of AI coding benchmarks.
Also thanks to Albert Örwall who has
[dockerized the SWE Bench evaluation scripts](SWE-bench-docker)
making it faster, easier, and more reliable to run the acceptance tests.
>>>>>>> REPLACE
</source>
