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Sourcery refactored Merging branch #1

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@sourcery-ai sourcery-ai bot commented Jan 20, 2022

Branch Merging refactored by Sourcery.

If you're happy with these changes, merge this Pull Request using the Squash and merge strategy.

See our documentation here.

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To manually merge these changes, make sure you're on the Merging branch, then run:

git fetch origin sourcery/Merging
git merge --ff-only FETCH_HEAD
git reset HEAD^

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@sourcery-ai sourcery-ai bot requested a review from artemiszuk January 20, 2022 14:21
if part == first_part:
yield result.bytes[first_part_cut:]
elif part == last_part:
yield result.bytes[:last_part_cut]
else:
yield result.bytes
yield result.bytes[first_part_cut:]
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Function ParallelTransferrer._int_download refactored with the following changes:

Comment on lines -198 to +193
part_size = 1024 * 1024
part_size = 1024**2
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Function ParallelTransferrer.download refactored with the following changes:

Comment on lines 44 to -45
return
await evt.reply(start_message,buttons=keyboard,parse_mode='md')
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Function handle_message refactored with the following changes:

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sourcery-ai bot commented Jan 20, 2022

Sourcery Code Quality Report

✅  Merging this PR will increase code quality in the affected files by 2.57%.

Quality metrics Before After Change
Complexity 4.11 ⭐ 3.09 ⭐ -1.02 👍
Method Length 68.38 🙂 66.08 🙂 -2.30 👍
Working memory 9.03 🙂 8.55 🙂 -0.48 👍
Quality 69.13% 🙂 71.70% 🙂 2.57% 👍
Other metrics Before After Change
Lines 198 191 -7
Changed files Quality Before Quality After Quality Change
tgfilestream/paralleltransfer.py 68.77% 🙂 71.54% 🙂 2.77% 👍
tgfilestream/telegram.py 71.40% 🙂 72.82% 🙂 1.42% 👍

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

File Function Complexity Length Working Memory Quality Recommendation
tgfilestream/paralleltransfer.py ParallelTransferrer._int_download 10 🙂 135 😞 11 😞 52.97% 🙂 Try splitting into smaller methods. Extract out complex expressions
tgfilestream/paralleltransfer.py ParallelTransferrer.download 0 ⭐ 98 🙂 13 😞 64.08% 🙂 Extract out complex expressions

Legend and Explanation

The emojis denote the absolute quality of the code:

  • ⭐ excellent
  • 🙂 good
  • 😞 poor
  • ⛔ very poor

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!

Help us improve this quality report!

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