# Context:
USER: make a test for `cleanup_test_output`
ASSISTANT: To create a test for the `cleanup_test_output` function, we need to create a new test file in the `benchmark/tests` directory. Let's call it `test_benchmark_utils.py`.
In this new file, we will import the `cleanup_test_output` function from `benchmark.py` and write a test function using the `unittest` framework.
Here is the content for the new test file:
```python
benchmark/tests/test_benchmark_utils.py
<<<<<<< ORIGINAL
=======
import unittest
from benchmark.benchmark import cleanup_test_output
class TestCleanupTestOutput(unittest.TestCase):
def test_cleanup_test_output(self):
# Test case with timing info
output = "Ran 5 tests in 0.003s\nOK"
expected = "\nOK"
self.assertEqual(cleanup_test_output(output), expected)
# Test case without timing info
output = "OK"
expected = "OK"
self.assertEqual
^C KeyboardInterrupt
USER: no in test_benchmark.py
ASSISTANT: To add a test for the `cleanup_test_output` function in the `test_benchmark.py` file, we need to import the `cleanup_test_output` function from `benchmark.py` and write a test function using the `unittest` framework.
Here is the content for the updated test file:
```python
benchmark/tests/test_benchmark.py
<<<<<<< ORIGINAL
=======
import unittest
from benchmark.benchmark import cleanup_test_output
class TestCleanupTestOutput(unittest.TestCase):
def test_cleanup_test_output(self):
# Test case with timing info
output = "Ran 5 tests in 0.003s\nOK"
expected = "\nOK"
self.assertEqual(cleanup_test_output(output), expected)
# Test case without timing info
output = "OK"
expected = "OK"
self.assertEqual(cleanup_test_output(output), expected)
>>>>>>> UPDATED
```
Please note that you need to add the above code to the existing `test_benchmark.py` file. The `ORIGINAL` section is empty because it's a new addition to the file.
# Context:
USER: change the `functions` jsonschema so that `original_lines` is a list of strings and so is `update_files`
ASSISTANT: To make the requested changes, we need to modify the `functions` JSON schema in the `EditBlockFunctionCoder` class in the `aider/coders/editblock_func_coder.py` file.
Here is the change:
```python
aider/coders/editblock_func_coder.py
<<<<<<< ORIGINAL
properties=dict(
path=dict(
type="string",
description="Path of file to edit",
),
original_lines=dict(
type="string",
description=(
"Lines from the original file, including all"
" whitespace, newlines, without skipping any lines"
),
),
updated_lines=dict(
type="string",
description="New content to replace the `original_lines` with",
),
),
=======
properties=dict(
path=dict(
type="string",
description="Path of file to edit",
),
original_lines=dict(
type="array",
items=dict(
type="string",
),
description=(
"Lines from the original file, including all"
" whitespace, newlines, without skipping any lines"
),
),
updated_lines=dict(
type="array",
items=dict(
type="string",
),
description="New content to replace the `original_lines` with",
),
),
>>>>>>> UPDATED
```
This change modifies the `original_lines` and `updated_lines` properties to be an array of strings instead of a single string. This allows for multiple lines to be specified in the `original_lines` and `updated_lines` fields.
# Context:
USER: when calling `ChatCompletion`, take a sha1 hash of dict with all the args and append it to a list self.chat_completion_call_hashes
ASSISTANT: To implement this change, we need to modify the `send_with_retries` method in the `Coder` class in the `aider/coders/base_coder.py` file. We will import the `hashlib` module to generate the SHA1 hash. We will also add a new attribute `chat_completion_call_hashes` to the `Coder` class to store the hashes.
Here are the changes:
```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
import json
import os
import sys
import traceback
from json.decoder import JSONDecodeError
from pathlib import Path
=======
import hashlib
import json
import os
import sys
import traceback
from json.decoder import JSONDecodeError
from pathlib import Path
>>>>>>> UPDATED
```
```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
class Coder:
abs_fnames = None
repo = None
last_aider_commit_hash = None
last_asked_for_commit_time = 0
repo_map = None
functions = None
total_cost = 0.0
=======
class Coder:
abs_fnames = None
repo = None
last_aider_commit_hash = None
last_asked_for_commit_time = 0
repo_map = None
functions = None
total_cost = 0.0
chat_completion_call_hashes = []
>>>>>>> UPDATED
```
```python
aider/coders/base_coder.py
<<<<<<< ORIGINAL
def send_with_retries(self, model, messages, functions):
kwargs = dict(
model=model,
messages=messages,
temperature=0,
stream=self.stream,
)
if functions is not None:
kwargs["functions"] = self.functions
res = openai.ChatCompletion.create(**kwargs)
return res
=======
def send_with_retries(self, model, messages, functions):
kwargs = dict(
model=model,
messages=messages,
temperature=0,
stream=self.stream,
)
if functions is not None:
kwargs["functions"] = self.functions
# Generate SHA1 hash of kwargs and append it to chat_completion_call_hashes
hash_object = hashlib.sha1(json.dumps(kwargs, sort_keys=True).encode())
self.chat_completion_call_hashes.append(hash_object.hexdigest())
res = openai.ChatCompletion.create(**kwargs)
return res
>>>>>>> UPDATED
```
# Context:
USER: in `build_docker` check if the image is already built and return
ASSISTANT: To check if the Docker image is already built and return if it exists, we can use the `docker images` command and parse its output. Here's how to modify the `build_docker` function:
```python
benchmark/benchmark.py
<<<<<<< ORIGINAL
def build_docker():
command = [
"docker",
"build",
"--quiet",
"-t",
"benchmark",
"-f",
"benchmark/Dockerfile",
"/dev/null",
]
print(" ".join(command))
try:
result = subprocess.run(
command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
)
res = result.stdout
print(res)
except subprocess.CalledProcessError as e:
res = f"Failed to build Docker image: {e.output}"
return res
=======
def build_docker():
image_name = "benchmark"
check_command = ["docker", "images", "-q", image_name]
check_result = subprocess.run(check_command, stdout=subprocess.PIPE, text=True)
if check_result.stdout.strip():
print(f"Docker image '{image_name}' already exists, skipping build.")
return
command = [
"docker",
"build",
"--quiet",
"-t",
image_name,
"-f",
"benchmark/Dockerfile",
"/dev/null",
]
print(" ".join(command))
try:
result = subprocess.run(
command,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
text=True,
)
res = result.stdout
print(res)
except subprocess.CalledProcessError as e:
res = f"Failed to build Docker image: {e.output}"
return res
>>>>>>> UPDATED
```
This modification adds a check for the existence of the Docker image before attempting to build it. If the image already exists, the function prints a message and returns early.
# Context:
USER: show MM:SS remaining
ASSISTANT: To show the remaining time in MM:SS format, you need to modify the `summarize_results` function in the `scripts/benchmark.py` file. Update the `remaining` variable calculation and its print statement.
```python
scripts/benchmark.py
<<<<<<< ORIGINAL
avg_duration = duration / completed_tests
remaining = (total_tests - completed_tests) * avg_duration
console.print(f"duration: {avg_duration:.1f} sec/test-case, {remaining:.0f} sec remaining")
=======
avg_duration = duration / completed_tests
remaining_seconds = (total_tests - completed_tests) * avg_duration
remaining_minutes, remaining_seconds = divmod(remaining_seconds, 60)
console.print(f"duration: {avg_duration:.1f} sec/test-case, {remaining_minutes:.0f}:{remaining_seconds:02.0f} remaining")
>>>>>>> UPDATED
```
This change will display the remaining time in MM:SS format.
