152 lines
13 KiB
Markdown
152 lines
13 KiB
Markdown
---
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name: simplecadapi
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description: Thin SimpleCAD SDK reference skill focused on the public API surface, core types, and current modeling workflows.
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license: AGPL-3.0
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compatibility: Documentation/reference bundle for current SimpleCADAPI surfaces.
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metadata:
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project: simplecadapi
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version: 2.0.2
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package-name: simplecadapi
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package-version: 2.0.2
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---
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# SimpleCAD SDK Skill
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## Philosophy
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- This is a thin SDK reference skill: docs only.
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- SDK source code is not bundled in this skill.
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## Working From Repo Root
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- Tool calls run from the repo root.
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- Use one explicit skill root: `./skills/simplecadapi/` or `./workspace/skills/simplecadapi/`.
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- Main doc paths:
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- `<skill_root>/SKILL.md`
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- `<skill_root>/references/docs/api/README.md`
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- `<skill_root>/references/docs/api/<api_name>.md`
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- `<skill_root>/references/docs/stdlib/README.md`
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- `<skill_root>/references/docs/stdlib/<stdlib_api_name>.md`
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- `<skill_root>/references/docs/core/<type_name>.md`
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- `<skill_root>/references/SDK_OVERVIEW.md`
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- `<skill_root>/references/SDK_SURFACES.md`
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- `<skill_root>/references/MODELING_WORKFLOWS.md`
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- `<skill_root>/references/inverse_engineer/brep-reverse-engineering.md`
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## MUST Requirements
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1. Read `SKILL.md`, `references/docs/api/README.md`, and `references/docs/stdlib/README.md` before choosing APIs.
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2. Read the exact API Markdown page for every API you use.
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3. Read the needed `core/` or exact `api/` docs when an API needs `Edge`, `Face`, `Wire`, `Solid`, `GraphSession`, `Sketch`, or expression types.
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4. Prefer the standard parts library for standard parts before hand-modeling with core geometry APIs.
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5. Follow the documented API signatures exactly.
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6. When calling any SimpleCAD public API or standard-library function, use keyword arguments for every documented parameter; do not use positional arguments.
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7. Use one `@model` entry point for replayable tasks, `@requires_session` for child builders, `capture_result(...)` for explicit outputs, and the returned `ModelResult` for model/session JSON and replay.
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8. Use geometry APIs for integrated parts: profiles, features, booleans, transforms, tagging, QL inspection, serialization, and exports.
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9. Use tags through `apply_tag(shape=..., tag=...)`, `apply_tag_rselection(scope=..., targets=..., tag=...)`, `list_tags(shape=..., scope=...)`, and `explain_tag(shape=..., tag=..., scope=...)`; do not call shape member tag mutators.
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10. Build and validate incrementally. Each step MUST include a small grounding `print`, and grounding MUST use QL where possible.
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11. For inspection/debugging, query geometry with QL and print only the queried facts you need; do not print whole solids or full model objects.
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12. Boolean operations return a single `Solid`.
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13. Use `union_rsolid(...)` for boolean union.
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14. For automated example/test harnesses, prefer the repo-local examples in `examples/` and avoid scratch scripts in `sandbox/`.
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15. If union cannot produce exactly one merged solid, it fails explicitly; do not silently pick one piece.
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16. If a single merged solid is required and union fails, slightly adjust part placement so intended bodies overlap/embed, then recompute.
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17. If a task depends on model replay or interchange, prefer `ModelResult.model_json` or `export_model_json()` output over hand-written payloads.
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18. For STEP/BREP reverse engineering, geometry reconstruction, topology matching, feature-history inference, or target/candidate CAD comparison, read `references/inverse_engineer/brep-reverse-engineering.md` completely before inspecting or modeling.
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19. In BREP reverse engineering, geometry equality and topology equality are hard requirements. Use engineering prior only to choose among processes that satisfy both; do not accept visual, volume, area, or topology-count similarity as completion.
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## Task Router
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- **Standard mechanical part**: read `references/docs/stdlib/README.md`, then the exact stdlib API page.
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- **General integrated modeling**: read `references/MODELING_WORKFLOWS.md` and each exact API page used.
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- **STEP/BREP reverse engineering or exact target comparison**: read `references/inverse_engineer/brep-reverse-engineering.md`; use `simplecadapi.inverse_engineer.brep` for inspection, strict comparison, views, and slice XOR diagnostics.
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- **Sketch and constraints**: read the relevant sketch API pages and `references/docs/core/declarative_constraints.md` when needed.
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- **Model JSON, graph replay, or translation**: read the graph/serialization API pages and the relevant translator documentation.
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## Standard Parts Library
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- SimpleCAD includes a standard library for parameterized mechanical parts.
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- When the user needs a standard part and does not require complex custom geometry changes, use a standard-library function first.
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- Current package-level standard-library surfaces include `scad.std.gear` for gears and racks, `scad.std.bearing` for ball bearing assemblies, `scad.std.chain` for roller-chain sprockets, and `scad.std.fastener` for bolts and nuts.
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- Read `references/docs/stdlib/README.md` to discover standard-library functions.
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- Read `references/docs/stdlib/<function_name>.md` before calling a standard-library function.
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- Standard-library functions return normal SimpleCAD shapes or product assemblies that can be transformed, tagged, assembled, exported, and used with graph/model JSON workflows.
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## Boolean result discipline
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- `union_rsolid(...)`, `cut_rsolid(...)`, and `intersect_rsolid(...)` accept mixed inputs: standalone `Solid`, lists of `Solid`, and nested sequences.
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- They return a single `Solid`.
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- `union_rsolid(...)` already applies the package's default glue mode and a conservative internal tolerance.
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- If a union cannot produce exactly one merged solid, it fails explicitly instead of returning multiple pieces.
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- If a single merged solid is required but union fails, slightly move the parts so they overlap instead of merely touching, then recompute the union.
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## Modeling Mental Model
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- Start with intent: identify the part, its reference axes, critical profiles, and the features that produce the final solid.
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- Build from lower-dimensional geometry to higher-dimensional geometry: `Vertex` / `Edge` / `Wire` / `Face` profiles first, then `Solid` features such as extrude, revolve, loft, and sweep.
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- Keep modeling operations functional. Create new values from public functions such as `make_circle_rface(...)`, `extrude_rsolid(...)`, `cut_rsolid(...)`, and `fillet_rsolid(...)`.
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- Use keyword arguments for all SimpleCAD function calls, for example `make_box_rsolid(width=10.0, height=20.0, depth=3.0)` instead of positional arguments.
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- Use `@model` when the top-level model should be replayable, inspectable, exported as model JSON, or translated to another CAD system. It owns one `GraphSession`; reusable graph-producing builders use `@requires_session`.
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- Treat model JSON as the interchange boundary. Prefer `ModelResult.model_json` and `ModelResult.replay()` for top-level models; use `export_model_json(session=...)` for lower-level direct sessions and `replay_model_json(json_str=...)` for standalone payloads.
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- Use QL for precise grounding. Query faces, edges, centers, normals, areas, lengths, curve types, and tags; print only the facts needed to validate the current step.
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- Use `get_edges(index)`, `get_faces(index)`, `get_wires(index)`, or `get_vertices(index)` when an indexed topology pick is intentional; these picks are preserved as geo select nodes in replayable graph workflows.
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- Use tags for topology identity, semantic intent, and selection anchors, such as `housing.face.top`, `role.mounting_surface`, `anchor.datum.primary`, or `group.fasteners`.
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- Keep numeric and geometric facts in metadata or graph payloads, not in tags.
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- When a QL-selected face or edge is used by a later feature, expect the graph/model workflow to preserve that selection as a stable geo select node.
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- For FreeCAD translation, prefer canonical model JSON generated from a `GraphSession`; selected profiles and detail-feature selections should come from the graph rather than ad hoc object lookup.
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## Tagging Mental Model
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- Public tag attachment is `apply_tag(shape=..., tag=...)`.
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- Multi-entity or explicitly propagated attachment is `apply_tag_rselection(scope=..., targets=..., tag=..., topology_propagation=..., lineage_policy=...)`; it returns an independent semantic shape view.
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- Public tag inspection is `list_tags(shape=..., scope=...)`, which returns a stable sorted list. Use `explain_tag(...)` when producer and evidence matter.
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- Tags are normalized lowercase dot-separated semantic tokens, for example `role.mounting_surface`, `anchor.datum.primary`, `group.fasteners`, `face.top`, or `solid.boolean.cut`.
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- Do not encode numeric dimensions or descriptive geometry payloads in tags; store them in metadata such as `shape.get_metadata("geo")` or `shape.set_metadata(...)`.
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- Direct user assignments default to local topology propagation regardless of tag text. Constructor-generated topology-identity Face tags may use downward propagation so boundary Edges expose the Face tag; use `TopologyPropagation.DOWNWARD` explicitly for the same behavior in `apply_tag_rselection(...)`.
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- `effective` includes local and inherited bindings but excludes lineage. Use `scope=TagScope.LINEAGE` only when complete topology-history evidence is available.
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- Operation events, source roles, and feature output roles are typed `metadata["track"]`, not flat tags. Query them with `ql.operation_event(...)`, `ql.origin_role(...)`, and `ql.output_role(...)`; unknown correspondence remains partial/unknown.
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- `extrude_rsolid`, `revolve_rsolid`, `fillet_rsolid`, `chamfer_rsolid`, `shell_rsolid`, `loft_rsolid`, `sweep_rsolid`, and `twisted_sweep_rsolid` accept strict role-specific tag arguments. Requested roles must have complete kernel evidence and satisfy their documented cardinality or the whole call fails.
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- Role-specific tag arguments and `result_tag` lower to canonical `apply_tag_rselection` nodes in a `GraphSession`; they are semantic assignments, not geometry parameters. There is one public argument per target role; do not use a generic role-to-tag mapping.
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- Topology identity and user semantics use the same `TagBinding`, `list_tags(...)`, `explain_tag(...)`, and `ql.tag(...)` surfaces. One topology object may carry multiple tags for different purposes.
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- Geometry constructors and features use `tag_prefix` to create topology-identity tags such as `housing.face.top`; profile APIs use `edge_tag` or `edge_tags` for local Edge tag segments. These bindings carry `topology_name` evidence and project only across exact kernel-proven correspondence.
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- Role-specific `*_tag` arguments and `result_tag` create tags with operation-role or result evidence. Tag text alone does not determine evidence or projection policy.
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- Query proven source projection with `ql.source_binding(...)` or `ql.source_topology(...)`. These predicates inspect canonical local binding evidence, never tag text or geometric similarity.
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- When a tagged profile entity must feed a later feature, pass the semantic view returned by `apply_tag_rselection(...)` into that feature. Tagging a detached branch and then using the original profile does not create hidden graph coupling.
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- Prefer scoped QL tag predicates (`ql.tag("role.*", scope="effective")`, `ql.select(...).where(...)`) for inspection and grounding.
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## SDK Focus
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- This skill is intended to describe the public CAD Python SDK surface.
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- Prefer the generated API, stdlib, and core docs over environment/bootstrap instructions.
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- API docs include an `Import Surface` section that distinguishes top-level exports, submodule APIs, and translator backend APIs under `simplecadapi.translator.<backend>`.
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- Stdlib docs include an `Import Surface` section that identifies the package-level `simplecadapi.std.gear` module export.
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- Use `references/SDK_OVERVIEW.md` for the package-level map.
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- Use `references/SDK_SURFACES.md` for the main public surfaces.
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- Use `references/MODELING_WORKFLOWS.md` for graph/model-oriented patterns.
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## Example SDK usage
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```python
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import simplecadapi as scad
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from simplecadapi import ModelResult, capture_result, model, requires_session
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```
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Typical replayable usage in a Python script:
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```python
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import simplecadapi as scad
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@scad.model(graph_id="box")
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def build_box():
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shape = scad.make_box_rsolid(width=10.0, height=20.0, depth=30.0)
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scad.capture_result(value=shape)
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return shape
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result = build_box()
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rebuilt = result.replay()
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print(len(rebuilt))
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```
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Use the graph/model JSON workflow when the task needs reproducibility, interchange, or replayable outputs.
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## References
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- `references/SDK_OVERVIEW.md`
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- `references/SDK_SURFACES.md`
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- `references/MODELING_WORKFLOWS.md`
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- `references/SDK_PACKAGE_SUMMARY.md`
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- `references/docs/api/`
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- `references/docs/stdlib/`
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- `references/docs/core/`
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- `references/inverse_engineer/brep-reverse-engineering.md`
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