Sourcery Code Quality Report

✅ Merging this PR will increase code quality in the affected files by 0.22%.

Quality metrics	Before	After	Change
Complexity	7.34 ⭐	7.28 ⭐	-0.06 👍
Method Length	68.90 🙂	68.36 🙂	-0.54 👍
Working memory	12.15 😞	12.10 😞	-0.05 👍
Quality	60.33% 🙂	60.55% 🙂	0.22% 👍

Other metrics	Before	After	Change
Lines	2866	2876	10

Changed files	Quality Before	Quality After	Quality Change
train.py	29.04% 😞	29.04% 😞	0.00%
datasets/custom_transforms.py	65.68% 🙂	65.68% 🙂	0.00%
datasets/dataset_loading_hub.py	69.79% 🙂	69.79% 🙂	0.00%
models/auto_builder_models.py	63.30% 🙂	63.30% 🙂	0.00%
models/densenet.py	69.80% 🙂	69.80% 🙂	0.00%
models/wresnet.py	65.83% 🙂	65.55% 🙂	-0.28% 👎
test/auto_builder_models_test.py	77.21% ⭐	77.21% ⭐	0.00%
test/test_data_loader.py	57.27% 🙂	62.25% 🙂	4.98% 👍
utils/arg_parsing.py	70.50% 🙂	70.50% 🙂	0.00%
utils/cinic_utils.py	43.44% 😞	43.44% 😞	0.00%
utils/gpu_selection_utils.py	68.77% 🙂	68.77% 🙂	0.00%
utils/metric_tracking.py	56.53% 🙂	56.55% 🙂	0.02% 👍
utils/pretty_progress_reporting.py	52.74% 🙂	52.74% 🙂	0.00%
utils/storage.py	68.14% 🙂	68.14% 🙂	0.00%
utils/script_generation_utils/config_utils.py	71.39% 🙂	75.32% ⭐	3.93% 👍

Here are some functions in these files that still need a tune-up:

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
utils/cinic_utils.py	extend_cinic_10	55 ⛔	257 ⛔	14 😞	17.36% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. Extract out complex expressions
models/auto_builder_models.py	BatchRelationalModule.forward	13 🙂	373 ⛔	15 😞	31.20% 😞	Try splitting into smaller methods. Extract out complex expressions
models/auto_builder_models.py	BatchRelationalModule.build	13 🙂	451 ⛔	14 😞	31.54% 😞	Try splitting into smaller methods. Extract out complex expressions
utils/metric_tracking.py	MetricTracker.refresh_best_n_epoch_models	10 🙂	142 😞	18 ⛔	43.22% 😞	Try splitting into smaller methods. Extract out complex expressions
models/wresnet.py	WideResNet.__init__	5 ⭐	228 ⛔	14 😞	44.93% 😞	Try splitting into smaller methods. Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

The 👍 and 👎 indicate whether the quality has improved or gotten worse with this pull request.

Please see our documentation here for details on how these metrics are calculated.

We are actively working on this report - lots more documentation and extra metrics to come!

Let us know what you think of it by mentioning @sourcery-ai in a comment.