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app.py

@@ -57,7 +57,7 @@ def calculate_metrics(a, b, c, d, price_control=None):
         Q_supplied_at_pc = (price_control - a) / b
 
         # The actual quantity traded is the minimum of Qd and Qs at the controlled price,
-        # ensuring it\'s non-negative (cannot trade negative quantity).
+        # ensuring it's non-negative (cannot trade negative quantity).
         Q_traded = min(max(0, Q_demanded_at_pc), max(0, Q_supplied_at_pc))
 
         # Calculate DWL if trade is restricted from equilibrium
@@ -104,7 +104,7 @@ col1, col2 = st.columns([1, 2])
 with col1:
     st.header("📈 Economic Metrics")
     if Q_eq == 0 and P_eq == 0 and CS == 0: # Indicates invalid parameters from calculate_metrics
-        st.error("Invalid parameters: Please adjust \'c\' to be greater than \'a\' to ensure a valid equilibrium.")
+        st.error("Invalid parameters: Please adjust 'c' to be greater than 'a' to ensure a valid equilibrium.")
     else:
         st.metric("Equilibrium Quantity (Qe)", f"{Q_eq:.2f}")
         st.metric("Equilibrium Price (Pe)", f"${P_eq:.2f}")
@@ -122,7 +122,7 @@ with col1:
             else:
                 st.info("No Deadweight Loss with current enforced price (or price is ineffective).")
         else:
-            st.info("Set \'Enforced Price\' to calculate Deadweight Loss.")
+            st.info("Set 'Enforced Price' to calculate Deadweight Loss.")
 
 
 with col2:
@@ -141,16 +141,16 @@ with col2:
     P_supply = a + b * Q_values
 
     # Filter out negative prices/quantities for plotting realism
-    P_demand[P_demand < 0] = np.nan # Don\'t plot negative prices
-    P_supply[P_supply < 0] = np.nan # Don\'t plot negative prices
-    Q_values[Q_values < 0] = np.nan # Don\'t plot negative quantities
+    P_demand[P_demand < 0] = np.nan # Don't plot negative prices
+    P_supply[P_supply < 0] = np.nan # Don't plot negative prices
+    Q_values[Q_values < 0] = np.nan # Don't plot negative quantities
 
-    ax.plot(Q_values, P_demand, label=f\'Demand: P = {c:.1f} - {d:.1f}Q\', color=\'blue\', linewidth=2)
-    ax.plot(Q_values, P_supply, label=f\'Supply: P = {a:.1f} + {b:.1f}Q\', color=\'red\', linewidth=2)
+    ax.plot(Q_values, P_demand, label=f'Demand: P = {c:.1f} - {d:.1f}Q', color='blue', linewidth=2)
+    ax.plot(Q_values, P_supply, label=f'Supply: P = {a:.1f} + {b:.1f}Q', color='red', linewidth=2)
 
     # Plot Equilibrium Point and lines
     if Q_eq > 0 and P_eq > 0:
-        ax.plot(Q_eq, P_eq, 'go', markersize=8, label=f\'Equilibrium (Q={Q_eq:.2f}, P=${P_eq:.2f})\')
+        ax.plot(Q_eq, P_eq, 'go', markersize=8, label=f'Equilibrium (Q={Q_eq:.2f}, P=${P_eq:.2f})')
         ax.vlines(Q_eq, 0, P_eq, linestyle=':', color='gray', linewidth=1)
         ax.hlines(P_eq, 0, Q_eq, linestyle=':', color='gray', linewidth=1)
 
@@ -166,7 +166,7 @@ with col2:
 
     # Plot Price Control and Deadweight Loss
     if price_control > 0 and Q_traded < Q_eq:
-        ax.hlines(pc_used, 0, Q_traded, linestyle='--', color='purple', label=f\'Enforced Price (${pc_used:.2f})\', linewidth=1.5)
+        ax.hlines(pc_used, 0, Q_traded, linestyle='--', color='purple', label=f'Enforced Price (${pc_used:.2f})', linewidth=1.5)
         ax.vlines(Q_traded, 0, pc_used, linestyle='--', color='purple', linewidth=1.5)
 
         # Identify the points for the DWL triangle
@@ -185,8 +185,8 @@ with col2:
         ax.fill_between(Q_dwl_fill, P_supply_dwl_fill, P_demand_dwl_fill, color='red', alpha=0.5, label='Deadweight Loss')
 
         # Mark points relevant to price control
-        # ax.plot(Q_traded, c - d * Q_traded, 'kx', markersize=8, label=f\'Demand at PC ({Q_traded:.2f})\')
-        # ax.plot(Q_traded, a + b * Q_traded, 'bx', markersize=8, label=f\'Supply at PC ({Q_traded:.2f})\')
+        # ax.plot(Q_traded, c - d * Q_traded, 'kx', markersize=8, label=f'Demand at PC ({Q_traded:.2f})')
+        # ax.plot(Q_traded, a + b * Q_traded, 'bx', markersize=8, label=f'Supply at PC ({Q_traded:.2f})')
 
     ax.set_xlabel("Quantity (Q)", fontsize=12)
     ax.set_ylabel("Price (P)", fontsize=12)