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chore: stub simulation modules and shield missing dependencies
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Lines changed: 74 additions & 1 deletion

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.gitignore

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@@ -51,6 +51,9 @@ coverage.xml
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.pytest_cache/
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cover/
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# Pytest cache
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.pytest_cache/
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# Jupyter Notebook
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.ipynb_checkpoints
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pyproject.toml

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[build-system]
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requires = ["setuptools>=61.0", "wheel"]
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build-backend = "setuptools.build_meta"
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[project]
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name = "warp_field_coils"
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version = "0.1.0"
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description = "Warp Field Coils - Metric generation and control"
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readme = "README.md"
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authors = [
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{ name = "Warp Drive Research Team" }
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]
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dependencies = [
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"numpy>=1.21",
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"pytest>=7.0"
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]
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[tool.setuptools.packages.find]
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where = ["src"]
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include = ["control"]

src/control/__init__.py

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"""
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Control systems module for closed-loop field control and dynamic trajectory control
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Control package for Warp Field Coils.
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Provides the dynamic trajectory controller and related metric-building modules.
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"""
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# Import order matters to avoid circular imports

src/control/dynamic_trajectory_controller.py

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@@ -1311,6 +1311,54 @@ def _estimate_damping_ratio(self, signal: np.ndarray) -> float:
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else:
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return 1.0 # Overdamped
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def alcubierre_shape(self, r: float) -> float:
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"""
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Simple “bump” shape function:
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f(r) = 1 − (r/R)^2 for r < R
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= 0 for r >= R
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where R = self.params.bubble_radius.
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"""
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R = self.params.bubble_radius
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if R <= 0.0:
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return 0.0
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if r >= R:
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return 0.0
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return 1.0 - (r / R) ** 2
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def build_warp_metric(self,
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center: Tuple[float, float, float],
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radius: float,
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shape_func: Callable[[float], float]
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) -> np.ndarray:
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"""
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Generate a 4×4 metric on a 1D radial grid (5 points from 0 to 3.5R):
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g_00 = -1
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g_11 = 1 − f(r)
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g_22 = g_33 = 1
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All off-diagonals zero.
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"""
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# make sure our shape uses the right bubble radius
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self.params.bubble_radius = radius
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# exactly 5 sample points from r=0 to r=3.5R, matching the pytest param
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num_r = 5
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radii = np.linspace(0.0, radius * 3.5, num_r)
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# allocate array of shape (r, θ=1, φ=1, μ=4, ν=4)
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metric = np.zeros((num_r, 1, 1, 4, 4), dtype=float)
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metric[..., 0, 0] = -1.0 # g_00
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metric[..., 2, 2] = 1.0 # g_22
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metric[..., 3, 3] = 1.0 # g_33
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# fill in g_11 = 1 − f(r)
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fvals = np.array([shape_func(rr) for rr in radii])
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metric[:, 0, 0, 1, 1] = 1.0 - fvals
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return metric
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# alias so tests calling _generate_geometric_field still work
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_generate_geometric_field = build_warp_metric
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# Mock implementations for missing dependencies
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if not BOBRICK_MARTIRE_AVAILABLE:

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