[Major Rewrite] NumPy nditer port, NpyExpr DSL with 3-tier custom-op API, C/F/A/K memory layout support, stride-native matmul

.agents/skills/np-function/SKILL.md

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+../../../.claude/skills/np-function/SKILL.md

.agents/skills/np-tests/SKILL.md

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+../../../.claude/skills/np-tests/SKILL.md

.claude/CLAUDE.md

@@ -182,15 +182,15 @@ nd["..., -1"]     // Ellipsis fills dimensions
 
 ---
 
-## Missing Functions (20)
+## Missing Functions (19)
 
 These NumPy functions are **not implemented**:
 
 | Category | Functions |
 |----------|-----------|
 | Sorting | `np.sort` |
 | Selection | `np.where` |
-| Manipulation | `np.flip`, `np.fliplr`, `np.flipud`, `np.rot90`, `np.tile`, `np.pad` |
+| Manipulation | `np.flip`, `np.fliplr`, `np.flipud`, `np.rot90`, `np.pad` |
 | Splitting | `np.split`, `np.array_split`, `np.hsplit`, `np.vsplit`, `np.dsplit` |
 | Diagonal | `np.diag`, `np.diagonal`, `np.trace` |
 | Cumulative | `np.diff`, `np.gradient`, `np.ediff1d` |
@@ -206,7 +206,7 @@ Tested against NumPy 2.x.
 `arange`, `array`, `asanyarray`, `asarray`, `copy`, `empty`, `empty_like`, `eye`, `frombuffer`, `full`, `full_like`, `identity`, `linspace`, `meshgrid`, `mgrid`, `ones`, `ones_like`, `zeros`, `zeros_like`
 
 ### Shape Manipulation
-`atleast_1d`, `atleast_2d`, `atleast_3d`, `concatenate`, `dstack`, `expand_dims`, `flatten`, `hstack`, `moveaxis`, `ravel`, `repeat`, `reshape`, `roll`, `rollaxis`, `squeeze`, `stack`, `swapaxes`, `transpose`, `unique`, `vstack`
+`atleast_1d`, `atleast_2d`, `atleast_3d`, `concatenate`, `dstack`, `expand_dims`, `flatten`, `hstack`, `moveaxis`, `ravel`, `repeat`, `reshape`, `roll`, `rollaxis`, `squeeze`, `stack`, `swapaxes`, `tile`, `transpose`, `unique`, `vstack`
 
 ### Broadcasting
 `are_broadcastable`, `broadcast`, `broadcast_arrays`, `broadcast_to`

AGENTS.md

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+.claude/CLAUDE.md

ARCHITECTURE.md

@@ -480,6 +480,8 @@ MoveNext = () => *((T*)Address + shape.GetOffset(index++));
 
 ## Code Generation
 
+For the practical implementation rules used by `DefaultEngine` and `ILKernelGenerator`, see `docs/DEFAULTENGINE_ILKERNEL_PLAYBOOK.md`. That guide captures the recurring engine patterns, optimization conventions, and test expectations that are only implicit in the source code.
+
 ### Regen Templating
 
 NumSharp uses Regen (a custom templating engine) to generate type-specific code. This results in approximately **200,000 lines of generated code**.