docs(v2.0.0-alpha.3): inline plot injection across the entire doc tree
Add scripts/inject_doc_plots.py that scans every .md and .rst page under docs/source/, executes each Python code-block in an isolated namespace with a non-interactive matplotlib backend, captures every figure produced, and inserts an inline image directive immediately after the code-block. Markers AUTO-PLOT-BEGIN/END make the injection idempotent on re-runs. Blocks that fail to execute or produce no figure are left untouched. Add a transparent __getattr__ fallback in python/optimizr/__init__.py that forwards any unresolved top-level attribute to the compiled _core extension. This lets all v1.x and v2.0 doc samples that use 'from optimizr import X' (estimate_ou_params_py, linear_bsde_constant_coeffs, mmd_gaussian, ...) execute as written. Augment the OU Parameter Estimation example (docs/source/algorithms/optimal_control.md) with a two-panel visualization (simulated path plus empirical/theoretical autocorrelation). Net effect: 14 doc pages now display matplotlib plots inline directly under the code that produced them -- including the OU page, point processes, Grid Search, HMM, MCMC, plus the 8 v2.0 RST pages.
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@@ -41,6 +41,16 @@ Interacting-particle Euler scheme for $dX_t = θ(\bar X_t - X_t) dt + σ dW_t$ (
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ax.set_title('Mean-reverting McKean–Vlasov — 200 particles')
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fig.tight_layout(); plt.show()
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.. AUTO-PLOT-BEGIN
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.. image:: ../_static/auto/algorithms__mckean_vlasov/block_03_fig_01.png
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:align: center
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:width: 80%
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.. AUTO-PLOT-END
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.. image:: ../_static/v2/mckean_vlasov/plot_01.png
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:align: center
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:width: 80%
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@@ -54,6 +64,16 @@ Interacting-particle Euler scheme for $dX_t = θ(\bar X_t - X_t) dt + σ dW_t$ (
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ax.set_title('Marginal density at t = 0 and t = T')
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fig.tight_layout(); plt.show()
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.. AUTO-PLOT-BEGIN
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.. image:: ../_static/auto/algorithms__mckean_vlasov/block_04_fig_01.png
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:align: center
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:width: 80%
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.. AUTO-PLOT-END
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.. image:: ../_static/v2/mckean_vlasov/plot_02.png
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:align: center
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:width: 80%
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