Add .gitignore and commit pending changes

- Add comprehensive .gitignore for Python, Flask, IDE, and project-specific files
- Include test_optimizer.py
- Update Claude settings and windings preset configuration

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>

test_optimizer.py

@@ -0,0 +1,90 @@
+from model import TransformerModel
+from optimizer import TransformerOptimizer
+
+# Create the same transformer as in app.py
+primary_taps = [0, 75, 75]
+secondary_taps = [0, 100, 150, 150, 150]
+
+primary_Rp_per_turn = [0.01, 0.01]
+secondary_Rs_per_turn = [0.004, 0.024, 0.024, 0.024]
+
+tf = TransformerModel(
+    Ae_mm2=354.0,
+    Ve_mm3=43900.0,
+    use_core_loss_model=True,
+    Np_total=150,
+    Ns_total=250,
+    primary_taps=primary_taps,
+    secondary_taps=secondary_taps,
+    primary_Rp_per_turn=primary_Rp_per_turn,
+    secondary_Rs_per_turn=secondary_Rs_per_turn,
+)
+
+# Test case: 300Hz, 10ohm, 25W target
+print("Testing with B_max_T=0.3T:")
+opt = TransformerOptimizer(tf)
+result = opt.optimize(
+    load_ohms=10.0,
+    target_power_W=25.0,
+    freq_hz=300.0,
+    Vp_min=5.0,
+    Vp_max=50.0,
+    Vp_step=0.5,
+    B_max_T=0.3,
+    Vs_max=200.0,
+    core_loss_W=0.0,
+    power_tolerance_percent=2.0,
+)
+
+if result:
+    print(f"Optimizer result:")
+    print(f"  Primary tap: {result.primary_tap}, Secondary tap: {result.secondary_tap}")
+    print(f"  Vp_rms: {result.Vp_rms:.2f}V")
+    print(f"  Efficiency: {result.efficiency*100:.2f}%")
+    print(f"  Power out: {result.P_out_W:.2f}W")
+    print(f"  B_peak: {result.B_peak_T:.4f}T")
+    print()
+
+print("\nTesting with B_max_T=0.35T:")
+result2 = opt.optimize(
+    load_ohms=10.0,
+    target_power_W=25.0,
+    freq_hz=300.0,
+    Vp_min=5.0,
+    Vp_max=50.0,
+    Vp_step=0.5,
+    B_max_T=0.35,
+    Vs_max=200.0,
+    core_loss_W=0.0,
+    power_tolerance_percent=2.0,
+)
+
+if result2:
+    print(f"Optimizer result:")
+    print(f"  Primary tap: {result2.primary_tap}, Secondary tap: {result2.secondary_tap}")
+    print(f"  Vp_rms: {result2.Vp_rms:.2f}V")
+    print(f"  Efficiency: {result2.efficiency*100:.2f}%")
+    print(f"  Power out: {result2.P_out_W:.2f}W")
+    print(f"  B_peak: {result2.B_peak_T:.4f}T")
+    print()
+
+    # Now try manual settings to see what 85% efficiency looks like
+    print("Manual test - trying different tap combinations:")
+    for p_tap in [1, 2]:
+        for s_tap in [1, 2, 3, 4]:
+            for Vp in range(5, 51, 1):  # 5V to 50V in 1V steps
+                try:
+                    sim = tf.simulate(
+                        primary_tap=p_tap,
+                        secondary_tap=s_tap,
+                        Vp_rms=Vp,
+                        freq_hz=300.0,
+                        load_ohms=10.0,
+                    )
+                    eff_pct = sim['efficiency'] * 100
+                    if sim['P_out_W'] >= 20 and sim['P_out_W'] <= 30:  # Close to target
+                        print(f"  p={p_tap}, s={s_tap}, Vp={Vp}V: Pout={sim['P_out_W']:.1f}W, eff={eff_pct:.1f}%, B={sim['B_peak_T']:.4f}T, Pcore={sim['P_core_W']:.2f}W, Pcu={sim['P_cu_W']:.2f}W")
+                except Exception as e:
+                    pass
+else:
+    print("No solution found!")