Fix numpy serialization

[tvt173]

Fixes serialization of numpy arrays such that they are retained as numeric types (this was also the old, gdsfactory 5.x behaviour). Increases the default maximum # of digits retained when serializing arrays from 3 to 8 (this could cause side effects if not enough digits are retained, and 8 should still be plenty to ensure consistency across machines... 1e-8 is the default atol threshold in np.isclose()).

[sourcery-ai]

Sourcery Code Quality Report

❌  Merging this PR will decrease code quality in the affected files by 1.05%.

Quality metrics	Before	After	Change
Complexity	17.10 🙂	19.96 😞	2.86 👎
Method Length	75.43 🙂	79.71 🙂	4.28 👎
Working memory	14.44 😞	14.21 😞	-0.23 👍
Quality	44.10% 😞	43.05% 😞	-1.05% 👎

Other metrics	Before	After	Change
Lines	107	113	6

Changed files	Quality Before	Quality After	Quality Change
gdsfactory/serialization.py	44.10% 😞	43.05% 😞	-1.05% 👎

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

File	Function	Complexity	Length	Working Memory	Quality	Recommendation
gdsfactory/serialization.py	clean_value_json	31 😞	365 ⛔	20 ⛔	14.96% ⛔	Refactor to reduce nesting. Try splitting into smaller methods. 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!

[sonarcloud]

Kudos, SonarCloud Quality Gate passed!   

0 Bugs
0 Vulnerabilities
0 Security Hotspots
0 Code Smells

No Coverage information
2.2% Duplication

[tvt173]

i think tests are failing on CI for this PR because a cell name changed and results in a changed filename in gdslib. I believe it should all pass once that file gets updated in gdslib. please take a look @joamatab