Sweep: add comments and docstrings to main.py and api.py

[wwzeng1]

Details

No response

Checklist

• Modify src/main.py ✓ 79c5051
• Ran sandbox for src/main.py. ✗
• Modify src/main.py ✓ daebccc
• Ran sandbox for src/main.py. ✗
• Modify src/main.py ✓ 129646e
• Ran sandbox for src/main.py. ✗
• Modify src/main.py ✓ a411ef7
• Ran sandbox for src/main.py. ✗
• Modify src/main.py ✓ fccd851
• Ran sandbox for src/main.py. ✓ 9909d51
• Ran sandbox for src/main.py. ✓
• Ran sandbox for src/main.py. ✓
• Ran sandbox for src/main.py. ⋯
• Ran sandbox for src/main.py. ▶
• Modify src/api.py ▶

[sweep-nightly]

💎 Sweep Pro: I'm using GPT-4. You have unlimited GPT-4 tickets. (tracking ID: f1d7a25312)

---

Actions (click)

• ↻ Restart Sweep

Sandbox Execution ✓

Here are the sandbox execution logs prior to making any changes:

Sandbox logs for 7284908

trunk fmt src/main.py || exit 0 1/2 ✓

  NOTICES  
 src/main.py  ignored empty file [black]
 Hint: use --force to check ignored files
Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ✓

  NOTICES  
 src/main.py  ignored empty file [black]
 Hint: use --force to check ignored files
Checked 1 file
✔ No issues

Sandbox passed on the latest main, so sandbox checks will be enabled for this issue.

---

Step 1: 🔎 Searching

I found the following snippets in your repository. I will now analyze these snippets and come up with a plan.

Some code snippets I looked at (click to expand). If some file is missing from here, you can mention the path in the ticket description.

evals/src/api.py

Lines 1 to 27 in 7284908

	from fastapi import FastAPI, UploadFile, File
	from PIL import Image
	import torch
	from torchvision import transforms
	from main import Net # Importing Net class from main.py
	# Load the model
	model = Net()
	model.load_state_dict(torch.load("mnist_model.pth"))
	model.eval()
	# Transform used for preprocessing the image
	transform = transforms.Compose([
	transforms.ToTensor(),
	transforms.Normalize((0.5,), (0.5,))
	])
	app = FastAPI()
	@app.post("/predict/")
	async def predict(file: UploadFile = File(...)):
	image = Image.open(file.file).convert("L")
	image = transform(image)
	image = image.unsqueeze(0) # Add batch dimension
	with torch.no_grad():
	output = model(image)
	_, predicted = torch.max(output.data, 1)

evals/src/main.py

Lines 1 to 46 in 7284908

	from PIL import Image
	import torch
	import torch.nn as nn
	import torch.optim as optim
	from torchvision import datasets, transforms
	from torch.utils.data import DataLoader
	import numpy as np
	# Step 1: Load MNIST Data and Preprocess
	transform = transforms.Compose([
	transforms.ToTensor(),
	transforms.Normalize((0.5,), (0.5,))
	])
	trainset = datasets.MNIST('.', download=True, train=True, transform=transform)
	trainloader = DataLoader(trainset, batch_size=64, shuffle=True)
	# Step 2: Define the PyTorch Model
	class Net(nn.Module):
	def __init__(self):
	super().__init__()
	self.fc1 = nn.Linear(28 * 28, 128)
	self.fc2 = nn.Linear(128, 64)
	self.fc3 = nn.Linear(64, 10)
	def forward(self, x):
	x = x.view(-1, 28 * 28)
	x = nn.functional.relu(self.fc1(x))
	x = nn.functional.relu(self.fc2(x))
	x = self.fc3(x)
	return nn.functional.log_softmax(x, dim=1)
	# Step 3: Train the Model
	model = Net()
	optimizer = optim.SGD(model.parameters(), lr=0.01)
	criterion = nn.NLLLoss()
	# Training loop
	epochs = 3
	for epoch in range(epochs):
	for images, labels in trainloader:
	optimizer.zero_grad()
	output = model(images)
	loss = criterion(output, labels)
	loss.backward()
	optimizer.step()

evals/requirements.txt

Lines 1 to 15 in 7284908

	annotated-types==0.6.0
	anyio==3.7.1
	astroid==3.0.1
	certifi==2022.12.7
	charset-normalizer==2.1.1
	click==8.1.7
	dill==0.3.7
	exceptiongroup==1.1.3
	fastapi==0.104.0
	filelock==3.9.0
	fsspec==2023.4.0
	h11==0.14.0
	idna==3.4
	iniconfig==2.0.0
	isort==5.12.0

---

Step 2: ⌨️ Coding

• Modify src/main.py ✓ 79c5051

Modify src/main.py with contents:
• Add a module-level docstring at the top of the file explaining the purpose of the script, which is to define and train a PyTorch model for digit recognition using the MNIST dataset.
• Add a class-level docstring to the Net class explaining its purpose and its methods. The docstring should explain that the class defines a simple feed-forward neural network with three layers, and that the forward method implements the forward pass of the network.
• Add comments above each significant block of code explaining what it does. For example, add comments above the code that loads the data, defines the model, and trains the model, explaining each step in detail.

• Ran sandbox for src/main.py. ✗

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...


  FAILURES  
 black  src/main.py  .trunk/out/gZiT6.yaml
 black  src/main.py  .trunk/out/WAEJO.yaml
  NOTICES  
 Some tools failed to run. You can open the details yaml files for more information.
Checked 1 file
✖ No issues, 2 failures
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

  ISSUES  
src/main.py:21:1
 21:1  high  SyntaxError: Expected 'Indent', but got 'trainloader'  ruff/E999
  FAILURES  
 black  src/main.py  .trunk/out/zhNAa.yaml
  NOTICES  
 A tool failed to run. You can open the details yaml file for more information.
Checked 1 file
✖ 1 new issue
# .trunk/out/zhNAa.yaml
trunk_cli_version: 1.17.2
title: black exited with exit_code=123
report:
  - black exited with exit_code=123
  - linter:
      command: |
        /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py
      stdin_path: (none)
      run_from: /tmp/trunk-0/ApxtYx
      timeout: 10m
      rerun: (cd /tmp/trunk-0/ApxtYx; env -i PATH=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin:/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/Scripts:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e/bin:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e HOME=/root VIRTUAL_ENV=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d PYTHONUTF8=1 /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py)
      affects_cache:
        []
      direct_configs:
        []
      exit_status: exited
      exit_code: 123
      stdout: (none)
      stderr: |
        error: cannot format src/main.py: Cannot parse: 21:0: trainloader = DataLoader(trainset, batch_size=64, shuffle=True)
    parser: |
      (none)

• Modify src/main.py ✓ daebccc

Modify src/main.py with contents: Remove the second definition of 'trainloader' which is located just before the class definition of 'Net'. This is unnecessary as 'trainloader' is already defined earlier in the code.

Next, correct the indentation of the code following the class definition of 'Net'. The code inside the class should be indented properly to indicate that it belongs to the class. The code after the class definition should be aligned with the class definition to indicate that it is not part of the class.

Finally, remove the duplicate lines of code at the end of the file. The lines for calculating the loss, performing backpropagation, stepping the optimizer, and saving the model state are repeated. Only one set of these lines is necessary for the training loop.

• Ran sandbox for src/main.py. ✗

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...


  FAILURES  
 black  src/main.py  .trunk/out/11VLF.yaml
 black  src/main.py  .trunk/out/hTFTf.yaml
  NOTICES  
 Some tools failed to run. You can open the details yaml files for more information.
Checked 1 file
✖ No issues, 2 failures
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

  ISSUES  
src/main.py:51:1
 51:1  high  SyntaxError: Unexpected token Indent  ruff/E999
  FAILURES  
 black  src/main.py  .trunk/out/U5E3I.yaml
  NOTICES  
 A tool failed to run. You can open the details yaml file for more information.
Checked 1 file
✖ 1 new issue
# .trunk/out/U5E3I.yaml
trunk_cli_version: 1.17.2
title: black exited with exit_code=123
report:
  - black exited with exit_code=123
  - linter:
      command: |
        /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py
      stdin_path: (none)
      run_from: /tmp/trunk-0/3YLPKp
      timeout: 10m
      rerun: (cd /tmp/trunk-0/3YLPKp; env -i PATH=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin:/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/Scripts:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e/bin:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e PYTHONUTF8=1 HOME=/root VIRTUAL_ENV=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py)
      affects_cache:
        []
      direct_configs:
        []
      exit_status: exited
      exit_code: 123
      stdout: (none)
      stderr: |
        error: cannot format src/main.py: Cannot parse: 51:0:         loss = criterion(output, labels)
    parser: |
      (none)

• Modify src/main.py ✓ 129646e

Modify src/main.py with contents: Remove the repeated lines of code and fix the indentation. Specifically, remove the duplicate lines of code that save the model state and the lines of code that calculate the loss, perform backpropagation, and update the model parameters. Ensure that the indentation is correct for the remaining lines of code.

• Ran sandbox for src/main.py. ✗

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...

 ✔ Formatted src/main.py
Re-checking autofixed files...


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

 ✔ Auto-fixed src/main.py
Re-checking autofixed files...


  ISSUES  
src/main.py:40:27
  1:17  high  `numpy` imported but unused                              ruff/F401
 39:5   high  Loop control variable `epoch` not used within loop body  ruff/B007
 40:27  high  Undefined name `trainloader`                             ruff/F821
Checked 1 file
2 existing issues (2 auto-fixable)
✖ 1 new issue

• Modify src/main.py ✓ a411ef7

Modify src/main.py with contents: Remove the import statement for the numpy library as it is not used in the code. Add the 'trainloader' variable back into the code, which is used to load the training data for the model. This variable should be defined before the training loop where it is used. In the training loop, remove the 'epoch' variable as it is not used within the loop body. Instead, use a simple for loop without a control variable to iterate over the epochs.

• Ran sandbox for src/main.py. ✗

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...


  FAILURES  
 black  src/main.py  .trunk/out/34gAQ.yaml
 black  src/main.py  .trunk/out/ZMEEA.yaml
  NOTICES  
 Some tools failed to run. You can open the details yaml files for more information.
Checked 1 file
✖ No issues, 2 failures
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

  ISSUES  
src/main.py:18:1
 18:1  high  SyntaxError: Expected 'Indent', but got 'trainloader'  ruff/E999
  FAILURES  
 black  src/main.py  .trunk/out/pDxgr.yaml
  NOTICES  
 A tool failed to run. You can open the details yaml file for more information.
Checked 1 file
✖ 1 new issue
# .trunk/out/pDxgr.yaml
trunk_cli_version: 1.17.2
title: black exited with exit_code=123
report:
  - black exited with exit_code=123
  - linter:
      command: |
        /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py
      stdin_path: (none)
      run_from: /tmp/trunk-0/LDTJGO
      timeout: 10m
      rerun: (cd /tmp/trunk-0/LDTJGO; env -i PATH=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin:/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/Scripts:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e/bin:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e HOME=/root PYTHONUTF8=1 VIRTUAL_ENV=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py)
      affects_cache:
        []
      direct_configs:
        []
      exit_status: exited
      exit_code: 123
      stdout: (none)
      stderr: |
        error: cannot format src/main.py: Cannot parse: 18:0: trainloader = DataLoader(trainset, batch_size=64, shuffle=True)
    parser: |
      (none)

• Modify src/main.py ✓ fccd851

Modify src/main.py with contents: Move the 'trainloader' variable definition so that it is not indented under the 'Net' class definition. It should be at the same level of indentation as the class definition itself. This will correct the SyntaxError and allow the file to be parsed correctly.

• Ran sandbox for src/main.py. ✓ 9909d51

Sandbox logs for https://github.com/sweepai/evals/commit/9909d51393e9b13a3ca4a53a3b5d8b06e57f220a

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...

 ✔ Formatted src/main.py
Re-checking autofixed files...


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ✓

 ✔ Auto-fixed src/main.py
Re-checking autofixed files...


Checked 1 file
✔ No issues

• Ran sandbox for src/main.py. ✓

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ✓

Checked 1 file
✔ No issues

• Ran sandbox for src/main.py. ✓

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ✓

Checked 1 file
✔ No issues

• Ran sandbox for src/main.py. ⋯

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...


  FAILURES  
 black  src/main.py  .trunk/out/11VLF.yaml
 black  src/main.py  .trunk/out/hTFTf.yaml
  NOTICES  
 Some tools failed to run. You can open the details yaml files for more information.
Checked 1 file
✖ No issues, 2 failures
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

  ISSUES  
src/main.py:51:1
 51:1  high  SyntaxError: Unexpected token Indent  ruff/E999
  FAILURES  
 black  src/main.py  .trunk/out/U5E3I.yaml
  NOTICES  
 A tool failed to run. You can open the details yaml file for more information.
Checked 1 file
✖ 1 new issue
# .trunk/out/U5E3I.yaml
trunk_cli_version: 1.17.2
title: black exited with exit_code=123
report:
  - black exited with exit_code=123
  - linter:
      command: |
        /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py
      stdin_path: (none)
      run_from: /tmp/trunk-0/3YLPKp
      timeout: 10m
      rerun: (cd /tmp/trunk-0/3YLPKp; env -i PATH=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin:/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/Scripts:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e/bin:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e PYTHONUTF8=1 HOME=/root VIRTUAL_ENV=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py)
      affects_cache:
        []
      direct_configs:
        []
      exit_status: exited
      exit_code: 123
      stdout: (none)
      stderr: |
        error: cannot format src/main.py: Cannot parse: 51:0:         loss = criterion(output, labels)
    parser: |
      (none)

• Ran sandbox for src/main.py. ▶

Sandbox logs for

trunk fmt src/main.py || exit 0 1/2 ✓

 ✔ Formatted src/main.py
Re-checking autofixed files...


  FAILURES  
 black  src/main.py  .trunk/out/gZiT6.yaml
 black  src/main.py  .trunk/out/WAEJO.yaml
  NOTICES  
 Some tools failed to run. You can open the details yaml files for more information.
Checked 1 file
✖ No issues, 2 failures
Run trunk upgrade to upgrade 1 linter

trunk check --fix --print-failures src/main.py 2/2 ❌ (`1`)

  ISSUES  
src/main.py:21:1
 21:1  high  SyntaxError: Expected 'Indent', but got 'trainloader'  ruff/E999
  FAILURES  
 black  src/main.py  .trunk/out/zhNAa.yaml
  NOTICES  
 A tool failed to run. You can open the details yaml file for more information.
Checked 1 file
✖ 1 new issue
# .trunk/out/zhNAa.yaml
trunk_cli_version: 1.17.2
title: black exited with exit_code=123
report:
  - black exited with exit_code=123
  - linter:
      command: |
        /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py
      stdin_path: (none)
      run_from: /tmp/trunk-0/ApxtYx
      timeout: 10m
      rerun: (cd /tmp/trunk-0/ApxtYx; env -i PATH=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin:/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/Scripts:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e/bin:/root/.cache/trunk/tools/python/3.10.8-b6e96641f2c120698c300f1bdd98bc0e HOME=/root VIRTUAL_ENV=/root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d PYTHONUTF8=1 /root/.cache/trunk/tools/black/23.9.1-183c0e64783085e12d1052afd073c73d/bin/black -q src/main.py)
      affects_cache:
        []
      direct_configs:
        []
      exit_status: exited
      exit_code: 123
      stdout: (none)
      stderr: |
        error: cannot format src/main.py: Cannot parse: 21:0: trainloader = DataLoader(trainset, batch_size=64, shuffle=True)
    parser: |
      (none)

• Modify src/api.py ▶

Modify src/api.py with contents:
• Add a module-level docstring at the top of the file explaining the purpose of the script, which is to provide an API endpoint for making predictions using the trained model.
• Add a function-level docstring to the predict function explaining its purpose, its parameters, and its return value. The docstring should explain that the function takes an uploaded image file, preprocesses it, passes it through the model to make a prediction, and returns the predicted digit.
• Add comments above each significant block of code explaining what it does. For example, add comments above the code that loads the model, defines the transform, and defines the FastAPI app, explaining each step in detail.

• Ran sandbox for src/api.py. ▶

Run `src/api.py` through the sandbox.

---

Step 3: 🔁 Code Review

Working on it...

---

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---

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