Feat/array api

[wilsonrljr]

Introducing experimental, opt-in Array API standard support. The strongest automated coverage in this release is for NumPy, PyTorch (CPU and CUDA), and array_api_strict, while CuPy and JAX are exposed as experimental compatibility targets through the same dispatch layer. This is a major architectural milestone that brings backend flexibility and GPU-capable execution to supported backend-native paths without changing the NumPy default behavior.

[codacy-production]

Not up to standards ⛔

🔴 Issues 51 high

Alerts:
⚠ 51 issues (≤ 0 issues of at least minor severity)

Results:
51 new issues

Category	Results
Security	51 high

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🟢 Metrics 319 complexity · 11 duplication

Metric	Results
Complexity	319
Duplication	11

View in Codacy

🟢 Coverage 97.80% diff coverage · -0.20% coverage variation

Metric	Results
Coverage variation	✅ -0.20% coverage variation (-1.00%)
Diff coverage	✅ 97.80% diff coverage

View coverage diff in Codacy

Coverage variation details

	Coverable lines	Covered lines	Coverage
Common ancestor commit (12859ba)	4621	4583	99.18%
Head commit (aa96e64)	5269 (+648)	5215 (+632)	98.98% (-0.20%)

Coverage variation is the difference between the coverage for the head and common ancestor commits of the pull request branch: <coverage of head commit> - <coverage of common ancestor commit>

Diff coverage details

	Coverable lines	Covered lines	Diff coverage
Pull request (#228)	1135	1110	97.80%

Diff coverage is the percentage of lines that are covered by tests out of the coverable lines that the pull request added or modified: <covered lines added or modified>/<coverable lines added or modified> * 100%

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