Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Add tests using mocker to main.py #141

Closed
wants to merge 5 commits into from

Conversation

sweep-nightly[bot]
Copy link

@sweep-nightly sweep-nightly bot commented Oct 28, 2023

Description

This PR adds tests using mocker to the main.py file in order to ensure the correctness of the PyTorch model for MNIST digit classification. The tests are implemented in a new test_main.py file and cover the initialization and forward methods of the Net class.

Summary of Changes

  • Created a new file, test_main.py, in the src directory to contain the test cases for main.py.
  • Added a test case to check the initialization of the Net class, using mocker to mock the nn.Module class and verify the super() method call.
  • Added a test case to check the forward method of the Net class, using mocker to mock the input tensor and nn.functional methods and verify the correct method calls and order.

Please review and merge this PR to ensure the accuracy and reliability of the MNIST digit classification model.

Fixes #10.


🎉 Latest improvements to Sweep:

  • Sweep can now passively improve your repository! Check out Rules to learn more.

💡 To get Sweep to edit this pull request, you can:

  • Comment below, and Sweep can edit the entire PR
  • Comment on a file, Sweep will only modify the commented file
  • Edit the original issue to get Sweep to recreate the PR from scratch

@sweep-nightly
Copy link
Author

sweep-nightly bot commented Oct 28, 2023

Sandbox Executions

  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/2 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/2 ❌ (`1`)
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


  ISSUES  
src/test_main.py:13:0
 13:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 14:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 15:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 22:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 38:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
Checked 1 file
✖ 5 new issues
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/4 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/4 ✓
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
if [[ $(echo "src/test_main.py" | grep 'test.*\.py$') ]]; then PYTHONPATH=. python src/test_main.py; else exit 0; fi 3/4 ✓
0.3%
0.7%
1.0%
1.3%
1.7%
2.0%
2.3%
2.6%
3.0%
3.3%
3.6%
4.0%
4.3%
4.6%
5.0%
5.3%
5.6%
6.0%
6.3%
6.6%
6.9%
7.3%
7.6%
7.9%
8.3%
8.6%
8.9%
9.3%
9.6%
9.9%
10.2%
10.6%
10.9%
11.2%
11.6%
11.9%
12.2%
12.6%
12.9%
13.2%
13.6%
13.9%
14.2%
14.5%
14.9%
15.2%
15.5%
15.9%
16.2%
16.5%
16.9%
17.2%
17.5%
17.9%
18.2%
18.5%
18.8%
19.2%
19.5%
19.8%
20.2%
20.5%
20.8%
21.2%
21.5%
21.8%
22.1%
22.5%
22.8%
23.1%
23.5%
23.8%
24.1%
24.5%
24.8%
25.1%
25.5%
25.8%
26.1%
26.4%
26.8%
27.1%
27.4%
27.8%
28.1%
28.4%
28.8%
29.1%
29.4%
29.8%
30.1%
30.4%
30.7%
31.1%
31.4%
31.7%
32.1%
32.4%
32.7%
33.1%
33.4%
33.7%
34.0%
34.4%
34.7%
35.0%
35.4%
35.7%
36.0%
36.4%
36.7%
37.0%
37.4%
37.7%
38.0%
38.3%
38.7%
39.0%
39.3%
39.7%
40.0%
40.3%
40.7%
41.0%
41.3%
41.7%
42.0%
42.3%
42.6%
43.0%
43.3%
43.6%
44.0%
44.3%
44.6%
45.0%
45.3%
45.6%
45.9%
46.3%
46.6%
46.9%
47.3%
47.6%
47.9%
48.3%
48.6%
48.9%
49.3%
49.6%
49.9%
50.2%
50.6%
50.9%
51.2%
51.6%
51.9%
52.2%
52.6%
52.9%
53.2%
53.6%
53.9%
54.2%
54.5%
54.9%
55.2%
55.5%
55.9%
56.2%
56.5%
56.9%
57.2%
57.5%
57.9%
58.2%
58.5%
58.8%
59.2%
59.5%
59.8%
60.2%
60.5%
60.8%
61.2%
61.5%
61.8%
62.1%
62.5%
62.8%
63.1%
63.5%
63.8%
64.1%
64.5%
64.8%
65.1%
65.5%
65.8%
66.1%
66.4%
66.8%
67.1%
67.4%
67.8%
68.1%
68.4%
68.8%
69.1%
69.4%
69.8%
70.1%
70.4%
70.7%
71.1%
71.4%
71.7%
72.1%
72.4%
72.7%
73.1%
73.4%
73.7%
74.0%
74.4%
74.7%
75.0%
75.4%
75.7%
76.0%
76.4%
76.7%
77.0%
77.4%
77.7%
78.0%
78.3%
78.7%
79.0%
79.3%
79.7%
80.0%
80.3%
80.7%
81.0%
81.3%
81.7%
82.0%
82.3%
82.6%
83.0%
83.3%
83.6%
84.0%
84.3%
84.6%
85.0%
85.3%
85.6%
85.9%
86.3%
86.6%
86.9%
87.3%
87.6%
87.9%
88.3%
88.6%
88.9%
89.3%
89.6%
89.9%
90.2%
90.6%
90.9%
91.2%
91.6%
91.9%
92.2%
92.6%
92.9%
93.2%
93.6%
93.9%
94.2%
94.5%
94.9%
95.2%
95.5%
95.9%
96.2%
96.5%
96.9%
97.2%
97.5%
97.9%
98.2%
98.5%
98.8%
99.2%
99.5%
99.8%
100.0%

100.0%

2.0%
4.0%
6.0%
7.9%
9.9%
11.9%
13.9%
15.9%
17.9%
19.9%
21.9%
23.8%
25.8%
27.8%
29.8%
31.8%
33.8%
35.8%
37.8%
39.7%
41.7%
43.7%
45.7%
47.7%
49.7%
51.7%
53.7%
55.6%
57.6%
59.6%
61.6%
63.6%
65.6%
67.6%
69.6%
71.5%
73.5%
75.5%
77.5%
79.5%
81.5%
83.5%
85.5%
87.4%
89.4%
91.4%
93.4%
95.4%
97.4%
99.4%
100.0%

100.0%
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./MNIST/raw/train-images-idx3-ubyte.gz
Extracting ./MNIST/raw/train-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./MNIST/raw/train-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/train-labels-idx1-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./MNIST/raw/t10k-images-idx3-ubyte.gz
Extracting ./MNIST/raw/t10k-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./MNIST/raw/t10k-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/t10k-labels-idx1-ubyte.gz to ./MNIST/raw
if [[ "src/test_main.py" == *test*.py ]]; then PYTHONPATH=. pytest src/test_main.py; else exit 0; fi 4/4 ❌ (`1`)
============================= test session starts ==============================
platform linux -- Python 3.10.12, pytest-7.4.2, pluggy-1.3.0
rootdir: /repo
plugins: anyio-3.7.1
collected 3 items
src/test_main.py FEE                                                     [100%]
==================================== ERRORS ====================================
______________________ ERROR at setup of test_net_forward ______________________
file /repo/src/test_main.py, line 18
  def test_net_forward(mocker, net):
E       fixture 'mocker' not found
>       available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, doctest_namespace, monkeypatch, net, pytestconfig, record_property, record_testsuite_property, record_xml_attribute, recwarn, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory
>       use 'pytest --fixtures [testpath]' for help on them.
/repo/src/test_main.py:18
_____________________ ERROR at setup of test_training_loop _____________________
file /repo/src/test_main.py, line 25
  def test_training_loop(mocker):
E       fixture 'mocker' not found
>       available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, doctest_namespace, monkeypatch, net, pytestconfig, record_property, record_testsuite_property, record_xml_attribute, recwarn, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory
>       use 'pytest --fixtures [testpath]' for help on them.
/repo/src/test_main.py:25
=================================== FAILURES ===================================
________________________________ test_net_init _________________________________
net = Net(
  (fc1): Linear(in_features=784, out_features=128, bias=True)
  (fc2): Linear(in_features=128, out_features=64, bias=True)
  (fc3): Linear(in_features=64, out_features=10, bias=True)
)
    def test_net_init(net):
>       pytest.assume(isinstance(net.fc1, torch.nn.Linear))
src/test_main.py:13: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
name = 'assume'
    def __getattr__(name: str) -> object:
        if name == "Instance":
            # The import emits a deprecation warning.
            from _pytest.python import Instance
    
            return Instance
>       raise AttributeError(f"module {__name__} has no attribute {name}")
E       AttributeError: module pytest has no attribute assume
/usr/local/lib/python3.10/dist-packages/pytest/__init__.py:171: AttributeError
=============================== warnings summary ===============================
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:242
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:242: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
    interpolation: int = Image.BILINEAR,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:288
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:288: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
    interpolation: int = Image.NEAREST,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:304
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:304: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
    interpolation: int = Image.NEAREST,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:321
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:321: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
    interpolation: int = Image.BICUBIC,
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED src/test_main.py::test_net_init - AttributeError: module pytest has no...
ERROR src/test_main.py::test_net_forward
ERROR src/test_main.py::test_training_loop
============== 1 failed, 4 warnings, 2 errors in 86.52s (0:01:26) ==============
  • Check requirements.txt
Run requirements.txt through the sandbox.
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/2 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/2 ❌ (`1`)
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


  ISSUES  
src/test_main.py:13:0
 13:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 14:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 15:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 22:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 38:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
Checked 1 file
✖ 5 new issues
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/3 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/3 ✓
Checked 1 file
✔ No issues
if [[ $(echo "src/test_main.py" | grep 'test.*\.py$') ]]; then PYTHONPATH=. python src/test_main.py; else exit 0; fi 3/3 ❌ (`1`)
0.3%
0.7%
1.0%
1.3%
1.7%
2.0%
2.3%
2.6%
3.0%
3.3%
3.6%
4.0%
4.3%
4.6%
5.0%
5.3%
5.6%
6.0%
6.3%
6.6%
6.9%
7.3%
7.6%
7.9%
8.3%
8.6%
8.9%
9.3%
9.6%
9.9%
10.2%
10.6%
10.9%
11.2%
11.6%
11.9%
12.2%
12.6%
12.9%
13.2%
13.6%
13.9%
14.2%
14.5%
14.9%
15.2%
15.5%
15.9%
16.2%
16.5%
16.9%
17.2%
17.5%
17.9%
18.2%
18.5%
18.8%
19.2%
19.5%
19.8%
20.2%
20.5%
20.8%
21.2%
21.5%
21.8%
22.1%
22.5%
22.8%
23.1%
23.5%
23.8%
24.1%
24.5%
24.8%
25.1%
25.5%
25.8%
26.1%
26.4%
26.8%
27.1%
27.4%
27.8%
28.1%
28.4%
28.8%
29.1%
29.4%
29.8%
30.1%
30.4%
30.7%
31.1%
31.4%
31.7%
32.1%
32.4%
32.7%
33.1%
33.4%
33.7%
34.0%
34.4%
34.7%
35.0%
35.4%
35.7%
36.0%
36.4%
36.7%
37.0%
37.4%
37.7%
38.0%
38.3%
38.7%
39.0%
39.3%
39.7%
40.0%
40.3%
40.7%
41.0%
41.3%
41.7%
42.0%
42.3%
42.6%
43.0%
43.3%
43.6%
44.0%
44.3%
44.6%
45.0%
45.3%
45.6%
45.9%
46.3%
46.6%
46.9%
47.3%
47.6%
47.9%
48.3%
48.6%
48.9%
49.3%
49.6%
49.9%
50.2%
50.6%
50.9%
51.2%
51.6%
51.9%
52.2%
52.6%
52.9%
53.2%
53.6%
53.9%
54.2%
54.5%
54.9%
55.2%
55.5%
55.9%
56.2%
56.5%
56.9%
57.2%
57.5%
57.9%
58.2%
58.5%
58.8%
59.2%
59.5%
59.8%
60.2%
60.5%
60.8%
61.2%
61.5%
61.8%
62.1%
62.5%
62.8%
63.1%
63.5%
63.8%
64.1%
64.5%
64.8%
65.1%
65.5%
65.8%
66.1%
66.4%
66.8%
67.1%
67.4%
67.8%
68.1%
68.4%
68.8%
69.1%
69.4%
69.8%
70.1%
70.4%
70.7%
71.1%
71.4%
71.7%
72.1%
72.4%
72.7%
73.1%
73.4%
73.7%
74.0%
74.4%
74.7%
75.0%
75.4%
75.7%
76.0%
76.4%
76.7%
77.0%
77.4%
77.7%
78.0%
78.3%
78.7%
79.0%
79.3%
79.7%
80.0%
80.3%
80.7%
81.0%
81.3%
81.7%
82.0%
82.3%
82.6%
83.0%
83.3%
83.6%
84.0%
84.3%
84.6%
85.0%
85.3%
85.6%
85.9%
86.3%
86.6%
86.9%
87.3%
87.6%
87.9%
88.3%
88.6%
88.9%
89.3%
89.6%
89.9%
90.2%
90.6%
90.9%
91.2%
91.6%
91.9%
92.2%
92.6%
92.9%
93.2%
93.6%
93.9%
94.2%
94.5%
94.9%
95.2%
95.5%
95.9%
96.2%
96.5%
96.9%
97.2%
97.5%
97.9%
98.2%
98.5%
98.8%
99.2%
99.5%
99.8%
100.0%

100.0%

2.0%
4.0%
6.0%
7.9%
9.9%
11.9%
13.9%
15.9%
17.9%
19.9%
21.9%
23.8%
25.8%
27.8%
29.8%
31.8%
33.8%
35.8%
37.8%
39.7%
41.7%
43.7%
45.7%
47.7%
49.7%
51.7%
53.7%
55.6%
57.6%
59.6%
61.6%
63.6%
65.6%
67.6%
69.6%
71.5%
73.5%
75.5%
77.5%
79.5%
81.5%
83.5%
85.5%
87.4%
89.4%
91.4%
93.4%
95.4%
97.4%
99.4%
100.0%

100.0%
E.EDownloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./MNIST/raw/train-images-idx3-ubyte.gz
Extracting ./MNIST/raw/train-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./MNIST/raw/train-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/train-labels-idx1-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./MNIST/raw/t10k-images-idx3-ubyte.gz
Extracting ./MNIST/raw/t10k-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./MNIST/raw/t10k-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/t10k-labels-idx1-ubyte.gz to ./MNIST/raw
======================================================================
ERROR: test_net_forward (__main__.TestNet)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/repo/src/test_main.py", line 22, in test_net_forward
    output = self.net(mock_tensor)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/repo/src/main.py", line 28, in forward
    x = nn.functional.relu(self.fc1(x))
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py", line 1471, in relu
    result = torch.relu(input)
TypeError: relu(): argument 'input' (position 1) must be Tensor, not Mock
======================================================================
ERROR: test_training_loop (__main__.TestNet)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/repo/src/test_main.py", line 34, in test_training_loop
    output = model(images)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/repo/src/main.py", line 28, in forward
    x = nn.functional.relu(self.fc1(x))
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py", line 114, in forward
    return F.linear(input, self.weight, self.bias)
TypeError: linear(): argument 'input' (position 1) must be Tensor, not Mock
----------------------------------------------------------------------
Ran 3 tests in 0.036s
FAILED (errors=2)
  • Check src/test_main.py
Sandbox logs for
pip install -r requirements.txt 1/1 ❌ (`1`)
Looking in links: https://download.pytorch.org/whl/torch_stable.html
DEPRECATION: The HTML index page being used (https://download.pytorch.org/whl/torch_stable.html) is not a proper HTML 5 document. This is in violation of PEP 503 which requires these pages to be well-formed HTML 5 documents. Please reach out to the owners of this index page, and ask them to update this index page to a valid HTML 5 document. pip 22.2 will enforce this behaviour change. Discussion can be found at https://github.com/pypa/pip/issues/10825
Collecting annotated-types==0.6.0
  Downloading annotated_types-0.6.0-py3-none-any.whl (12 kB)
Collecting anyio==3.7.1
  Downloading anyio-3.7.1-py3-none-any.whl (80 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 80.9/80.9 KB 2.2 MB/s eta 0:00:00
Collecting astroid==3.0.1
  Downloading astroid-3.0.1-py3-none-any.whl (275 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 275.2/275.2 KB 14.6 MB/s eta 0:00:00
Collecting certifi==2022.12.7
  Downloading certifi-2022.12.7-py3-none-any.whl (155 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.3/155.3 KB 15.8 MB/s eta 0:00:00
Collecting charset-normalizer==2.1.1
  Downloading charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Requirement already satisfied: click==8.1.7 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (8.1.7)
Collecting dill==0.3.
  Downloading dill-0.3.0.tar.gz (151 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 151.4/151.4 KB 15.5 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
ERROR: Could not find a version that satisfies the requirement distutils (from versions: none)
ERROR: No matching distribution found for distutils
  • Check requirements.txt
Run requirements.txt through the sandbox.
  • Check src/test_main.py
Sandbox logs for
pip install -r requirements.txt 1/1 ❌ (`1`)
Looking in links: https://download.pytorch.org/whl/torch_stable.html
DEPRECATION: The HTML index page being used (https://download.pytorch.org/whl/torch_stable.html) is not a proper HTML 5 document. This is in violation of PEP 503 which requires these pages to be well-formed HTML 5 documents. Please reach out to the owners of this index page, and ask them to update this index page to a valid HTML 5 document. pip 22.2 will enforce this behaviour change. Discussion can be found at https://github.com/pypa/pip/issues/10825
Collecting annotated-types==0.6.0
  Downloading annotated_types-0.6.0-py3-none-any.whl (12 kB)
Collecting anyio==3.7.1
  Downloading anyio-3.7.1-py3-none-any.whl (80 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 80.9/80.9 KB 2.2 MB/s eta 0:00:00
Collecting astroid==3.0.1
  Downloading astroid-3.0.1-py3-none-any.whl (275 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 275.2/275.2 KB 14.6 MB/s eta 0:00:00
Collecting certifi==2022.12.7
  Downloading certifi-2022.12.7-py3-none-any.whl (155 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 155.3/155.3 KB 15.8 MB/s eta 0:00:00
Collecting charset-normalizer==2.1.1
  Downloading charset_normalizer-2.1.1-py3-none-any.whl (39 kB)
Requirement already satisfied: click==8.1.7 in /usr/local/lib/python3.10/dist-packages (from -r requirements.txt (line 7)) (8.1.7)
Collecting dill==0.3.
  Downloading dill-0.3.0.tar.gz (151 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 151.4/151.4 KB 15.5 MB/s eta 0:00:00
  Preparing metadata (setup.py): started
  Preparing metadata (setup.py): finished with status 'done'
ERROR: Could not find a version that satisfies the requirement distutils (from versions: none)
ERROR: No matching distribution found for distutils
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/3 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/3 ✓
Checked 1 file
✔ No issues
if [[ $(echo "src/test_main.py" | grep 'test.*\.py$') ]]; then PYTHONPATH=. python src/test_main.py; else exit 0; fi 3/3 ❌ (`1`)
0.3%
0.7%
1.0%
1.3%
1.7%
2.0%
2.3%
2.6%
3.0%
3.3%
3.6%
4.0%
4.3%
4.6%
5.0%
5.3%
5.6%
6.0%
6.3%
6.6%
6.9%
7.3%
7.6%
7.9%
8.3%
8.6%
8.9%
9.3%
9.6%
9.9%
10.2%
10.6%
10.9%
11.2%
11.6%
11.9%
12.2%
12.6%
12.9%
13.2%
13.6%
13.9%
14.2%
14.5%
14.9%
15.2%
15.5%
15.9%
16.2%
16.5%
16.9%
17.2%
17.5%
17.9%
18.2%
18.5%
18.8%
19.2%
19.5%
19.8%
20.2%
20.5%
20.8%
21.2%
21.5%
21.8%
22.1%
22.5%
22.8%
23.1%
23.5%
23.8%
24.1%
24.5%
24.8%
25.1%
25.5%
25.8%
26.1%
26.4%
26.8%
27.1%
27.4%
27.8%
28.1%
28.4%
28.8%
29.1%
29.4%
29.8%
30.1%
30.4%
30.7%
31.1%
31.4%
31.7%
32.1%
32.4%
32.7%
33.1%
33.4%
33.7%
34.0%
34.4%
34.7%
35.0%
35.4%
35.7%
36.0%
36.4%
36.7%
37.0%
37.4%
37.7%
38.0%
38.3%
38.7%
39.0%
39.3%
39.7%
40.0%
40.3%
40.7%
41.0%
41.3%
41.7%
42.0%
42.3%
42.6%
43.0%
43.3%
43.6%
44.0%
44.3%
44.6%
45.0%
45.3%
45.6%
45.9%
46.3%
46.6%
46.9%
47.3%
47.6%
47.9%
48.3%
48.6%
48.9%
49.3%
49.6%
49.9%
50.2%
50.6%
50.9%
51.2%
51.6%
51.9%
52.2%
52.6%
52.9%
53.2%
53.6%
53.9%
54.2%
54.5%
54.9%
55.2%
55.5%
55.9%
56.2%
56.5%
56.9%
57.2%
57.5%
57.9%
58.2%
58.5%
58.8%
59.2%
59.5%
59.8%
60.2%
60.5%
60.8%
61.2%
61.5%
61.8%
62.1%
62.5%
62.8%
63.1%
63.5%
63.8%
64.1%
64.5%
64.8%
65.1%
65.5%
65.8%
66.1%
66.4%
66.8%
67.1%
67.4%
67.8%
68.1%
68.4%
68.8%
69.1%
69.4%
69.8%
70.1%
70.4%
70.7%
71.1%
71.4%
71.7%
72.1%
72.4%
72.7%
73.1%
73.4%
73.7%
74.0%
74.4%
74.7%
75.0%
75.4%
75.7%
76.0%
76.4%
76.7%
77.0%
77.4%
77.7%
78.0%
78.3%
78.7%
79.0%
79.3%
79.7%
80.0%
80.3%
80.7%
81.0%
81.3%
81.7%
82.0%
82.3%
82.6%
83.0%
83.3%
83.6%
84.0%
84.3%
84.6%
85.0%
85.3%
85.6%
85.9%
86.3%
86.6%
86.9%
87.3%
87.6%
87.9%
88.3%
88.6%
88.9%
89.3%
89.6%
89.9%
90.2%
90.6%
90.9%
91.2%
91.6%
91.9%
92.2%
92.6%
92.9%
93.2%
93.6%
93.9%
94.2%
94.5%
94.9%
95.2%
95.5%
95.9%
96.2%
96.5%
96.9%
97.2%
97.5%
97.9%
98.2%
98.5%
98.8%
99.2%
99.5%
99.8%
100.0%

100.0%

2.0%
4.0%
6.0%
7.9%
9.9%
11.9%
13.9%
15.9%
17.9%
19.9%
21.9%
23.8%
25.8%
27.8%
29.8%
31.8%
33.8%
35.8%
37.8%
39.7%
41.7%
43.7%
45.7%
47.7%
49.7%
51.7%
53.7%
55.6%
57.6%
59.6%
61.6%
63.6%
65.6%
67.6%
69.6%
71.5%
73.5%
75.5%
77.5%
79.5%
81.5%
83.5%
85.5%
87.4%
89.4%
91.4%
93.4%
95.4%
97.4%
99.4%
100.0%

100.0%
E.EDownloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./MNIST/raw/train-images-idx3-ubyte.gz
Extracting ./MNIST/raw/train-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./MNIST/raw/train-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/train-labels-idx1-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./MNIST/raw/t10k-images-idx3-ubyte.gz
Extracting ./MNIST/raw/t10k-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./MNIST/raw/t10k-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/t10k-labels-idx1-ubyte.gz to ./MNIST/raw
======================================================================
ERROR: test_net_forward (__main__.TestNet)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/repo/src/test_main.py", line 22, in test_net_forward
    output = self.net(mock_tensor)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/repo/src/main.py", line 28, in forward
    x = nn.functional.relu(self.fc1(x))
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/functional.py", line 1471, in relu
    result = torch.relu(input)
TypeError: relu(): argument 'input' (position 1) must be Tensor, not Mock
======================================================================
ERROR: test_training_loop (__main__.TestNet)
----------------------------------------------------------------------
Traceback (most recent call last):
  File "/repo/src/test_main.py", line 34, in test_training_loop
    output = model(images)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/repo/src/main.py", line 28, in forward
    x = nn.functional.relu(self.fc1(x))
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl
    return self._call_impl(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1527, in _call_impl
    return forward_call(*args, **kwargs)
  File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/linear.py", line 114, in forward
    return F.linear(input, self.weight, self.bias)
TypeError: linear(): argument 'input' (position 1) must be Tensor, not Mock
----------------------------------------------------------------------
Ran 3 tests in 0.036s
FAILED (errors=2)
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/2 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/2 ❌ (`1`)
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


  ISSUES  
src/test_main.py:13:0
 13:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 14:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 15:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 22:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 38:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
Checked 1 file
✖ 5 new issues
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/4 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/4 ✓
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
if [[ $(echo "src/test_main.py" | grep 'test.*\.py$') ]]; then PYTHONPATH=. python src/test_main.py; else exit 0; fi 3/4 ✓
0.3%
0.7%
1.0%
1.3%
1.7%
2.0%
2.3%
2.6%
3.0%
3.3%
3.6%
4.0%
4.3%
4.6%
5.0%
5.3%
5.6%
6.0%
6.3%
6.6%
6.9%
7.3%
7.6%
7.9%
8.3%
8.6%
8.9%
9.3%
9.6%
9.9%
10.2%
10.6%
10.9%
11.2%
11.6%
11.9%
12.2%
12.6%
12.9%
13.2%
13.6%
13.9%
14.2%
14.5%
14.9%
15.2%
15.5%
15.9%
16.2%
16.5%
16.9%
17.2%
17.5%
17.9%
18.2%
18.5%
18.8%
19.2%
19.5%
19.8%
20.2%
20.5%
20.8%
21.2%
21.5%
21.8%
22.1%
22.5%
22.8%
23.1%
23.5%
23.8%
24.1%
24.5%
24.8%
25.1%
25.5%
25.8%
26.1%
26.4%
26.8%
27.1%
27.4%
27.8%
28.1%
28.4%
28.8%
29.1%
29.4%
29.8%
30.1%
30.4%
30.7%
31.1%
31.4%
31.7%
32.1%
32.4%
32.7%
33.1%
33.4%
33.7%
34.0%
34.4%
34.7%
35.0%
35.4%
35.7%
36.0%
36.4%
36.7%
37.0%
37.4%
37.7%
38.0%
38.3%
38.7%
39.0%
39.3%
39.7%
40.0%
40.3%
40.7%
41.0%
41.3%
41.7%
42.0%
42.3%
42.6%
43.0%
43.3%
43.6%
44.0%
44.3%
44.6%
45.0%
45.3%
45.6%
45.9%
46.3%
46.6%
46.9%
47.3%
47.6%
47.9%
48.3%
48.6%
48.9%
49.3%
49.6%
49.9%
50.2%
50.6%
50.9%
51.2%
51.6%
51.9%
52.2%
52.6%
52.9%
53.2%
53.6%
53.9%
54.2%
54.5%
54.9%
55.2%
55.5%
55.9%
56.2%
56.5%
56.9%
57.2%
57.5%
57.9%
58.2%
58.5%
58.8%
59.2%
59.5%
59.8%
60.2%
60.5%
60.8%
61.2%
61.5%
61.8%
62.1%
62.5%
62.8%
63.1%
63.5%
63.8%
64.1%
64.5%
64.8%
65.1%
65.5%
65.8%
66.1%
66.4%
66.8%
67.1%
67.4%
67.8%
68.1%
68.4%
68.8%
69.1%
69.4%
69.8%
70.1%
70.4%
70.7%
71.1%
71.4%
71.7%
72.1%
72.4%
72.7%
73.1%
73.4%
73.7%
74.0%
74.4%
74.7%
75.0%
75.4%
75.7%
76.0%
76.4%
76.7%
77.0%
77.4%
77.7%
78.0%
78.3%
78.7%
79.0%
79.3%
79.7%
80.0%
80.3%
80.7%
81.0%
81.3%
81.7%
82.0%
82.3%
82.6%
83.0%
83.3%
83.6%
84.0%
84.3%
84.6%
85.0%
85.3%
85.6%
85.9%
86.3%
86.6%
86.9%
87.3%
87.6%
87.9%
88.3%
88.6%
88.9%
89.3%
89.6%
89.9%
90.2%
90.6%
90.9%
91.2%
91.6%
91.9%
92.2%
92.6%
92.9%
93.2%
93.6%
93.9%
94.2%
94.5%
94.9%
95.2%
95.5%
95.9%
96.2%
96.5%
96.9%
97.2%
97.5%
97.9%
98.2%
98.5%
98.8%
99.2%
99.5%
99.8%
100.0%

100.0%

2.0%
4.0%
6.0%
7.9%
9.9%
11.9%
13.9%
15.9%
17.9%
19.9%
21.9%
23.8%
25.8%
27.8%
29.8%
31.8%
33.8%
35.8%
37.8%
39.7%
41.7%
43.7%
45.7%
47.7%
49.7%
51.7%
53.7%
55.6%
57.6%
59.6%
61.6%
63.6%
65.6%
67.6%
69.6%
71.5%
73.5%
75.5%
77.5%
79.5%
81.5%
83.5%
85.5%
87.4%
89.4%
91.4%
93.4%
95.4%
97.4%
99.4%
100.0%

100.0%
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./MNIST/raw/train-images-idx3-ubyte.gz
Extracting ./MNIST/raw/train-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./MNIST/raw/train-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/train-labels-idx1-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./MNIST/raw/t10k-images-idx3-ubyte.gz
Extracting ./MNIST/raw/t10k-images-idx3-ubyte.gz to ./MNIST/raw
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz
Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./MNIST/raw/t10k-labels-idx1-ubyte.gz
Extracting ./MNIST/raw/t10k-labels-idx1-ubyte.gz to ./MNIST/raw
if [[ "src/test_main.py" == *test*.py ]]; then PYTHONPATH=. pytest src/test_main.py; else exit 0; fi 4/4 ❌ (`1`)
============================= test session starts ==============================
platform linux -- Python 3.10.12, pytest-7.4.2, pluggy-1.3.0
rootdir: /repo
plugins: anyio-3.7.1
collected 3 items
src/test_main.py FEE                                                     [100%]
==================================== ERRORS ====================================
______________________ ERROR at setup of test_net_forward ______________________
file /repo/src/test_main.py, line 18
  def test_net_forward(mocker, net):
E       fixture 'mocker' not found
>       available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, doctest_namespace, monkeypatch, net, pytestconfig, record_property, record_testsuite_property, record_xml_attribute, recwarn, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory
>       use 'pytest --fixtures [testpath]' for help on them.
/repo/src/test_main.py:18
_____________________ ERROR at setup of test_training_loop _____________________
file /repo/src/test_main.py, line 25
  def test_training_loop(mocker):
E       fixture 'mocker' not found
>       available fixtures: anyio_backend, anyio_backend_name, anyio_backend_options, cache, capfd, capfdbinary, caplog, capsys, capsysbinary, doctest_namespace, monkeypatch, net, pytestconfig, record_property, record_testsuite_property, record_xml_attribute, recwarn, tmp_path, tmp_path_factory, tmpdir, tmpdir_factory
>       use 'pytest --fixtures [testpath]' for help on them.
/repo/src/test_main.py:25
=================================== FAILURES ===================================
________________________________ test_net_init _________________________________
net = Net(
  (fc1): Linear(in_features=784, out_features=128, bias=True)
  (fc2): Linear(in_features=128, out_features=64, bias=True)
  (fc3): Linear(in_features=64, out_features=10, bias=True)
)
    def test_net_init(net):
>       pytest.assume(isinstance(net.fc1, torch.nn.Linear))
src/test_main.py:13: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
name = 'assume'
    def __getattr__(name: str) -> object:
        if name == "Instance":
            # The import emits a deprecation warning.
            from _pytest.python import Instance
    
            return Instance
>       raise AttributeError(f"module {__name__} has no attribute {name}")
E       AttributeError: module pytest has no attribute assume
/usr/local/lib/python3.10/dist-packages/pytest/__init__.py:171: AttributeError
=============================== warnings summary ===============================
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:242
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:242: DeprecationWarning: BILINEAR is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BILINEAR instead.
    interpolation: int = Image.BILINEAR,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:288
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:288: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
    interpolation: int = Image.NEAREST,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:304
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:304: DeprecationWarning: NEAREST is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.NEAREST or Dither.NONE instead.
    interpolation: int = Image.NEAREST,
../usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:321
  /usr/local/lib/python3.10/dist-packages/torchvision/transforms/_functional_pil.py:321: DeprecationWarning: BICUBIC is deprecated and will be removed in Pillow 10 (2023-07-01). Use Resampling.BICUBIC instead.
    interpolation: int = Image.BICUBIC,
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
=========================== short test summary info ============================
FAILED src/test_main.py::test_net_init - AttributeError: module pytest has no...
ERROR src/test_main.py::test_net_forward
ERROR src/test_main.py::test_training_loop
============== 1 failed, 4 warnings, 2 errors in 86.52s (0:01:26) ==============
  • Check src/test_main.py
Sandbox logs for
trunk fmt src/test_main.py || exit 0 1/2 ✓
 ✔ Formatted src/test_main.py
Re-checking autofixed files...

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


Checked 1 file
✔ No issues
Run trunk upgrade to upgrade 1 linter
trunk check --fix --print-failures src/test_main.py 2/2 ❌ (`1`)
 ✔ Auto-fixed src/test_main.py
Re-checking autofixed files...

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


  ISSUES  
src/test_main.py:13:0
 13:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 14:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 15:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 22:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
 38:0  low  Use of assert detected. The enclosed code will be removed when compiling to optimised byte       bandit/B101
            code.                                                                                                       
Checked 1 file
✖ 5 new issues
  • Check src/test_main.py
Run src/test_main.py through the sandbox.
  • Check src/test_main.py
Run src/test_main.py through the sandbox.

@sweep-nightly
Copy link
Author

sweep-nightly bot commented Oct 28, 2023

Apply Sweep Rules to your PR?

  • Apply: All docstrings and comments should be up to date.
  • Apply: Code should be properly formatted and indented.
  • Apply: Variable and function names should be descriptive and follow a consistent naming convention.
  • Apply: Imports should be organized and grouped together.
  • Apply: There should be no unused imports or variables.
  • Apply: Code should be properly commented and include docstrings for functions and classes.

@sweep-nightly sweep-nightly bot added the sweep label Oct 28, 2023
@sweep-nightly sweep-nightly bot closed this Oct 29, 2023
@sweep-nightly sweep-nightly bot deleted the sweep/add-tests-using-mocker_19 branch October 29, 2023 09:02
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
Projects
None yet
Development

Successfully merging this pull request may close these issues.

Sweep: add tests using mocker to main.py
0 participants