[FIX] Fix cap value precision: show 4 decimal places in absolute cap inputs and displays across tab2, tab4, and data_utils

tabs/tab2_constraints.py

@@ -324,9 +324,9 @@ def render_method(m, cols, i, cost_sliders_norm):
                 f"Max cap ({CO2_UNIT}/yr)",
                 min_value=0.0,
                 value=None,
-                format="%.2f",
+                format="%.4f",
                 key=f"manual_{m}",
-                placeholder="0.00",
+                placeholder="0.0000",
                 on_change=_make_manual_cb(m),
             )
 
@@ -378,7 +378,7 @@ def build_summary_df():
         if c["cap_type"] == "percent":
             rows[display_m] = {"Cap value": f"{int(c['cap_value'])}%"}
         elif c["cap_type"] == "absolute":
-            rows[display_m] = {"Cap value": f"{c['cap_value']:,.2f} {CO2_UNIT}/yr"}
+            rows[display_m] = {"Cap value": f"{c['cap_value']:,g} {CO2_UNIT}/yr"}
         else:
             rows[display_m] = {"Cap value": f"⚠️ Invalid type ({c['cap_type']!r}) — fix in Tab 2"}
     return pd.DataFrame.from_dict(rows, orient="index") if rows else None

tabs/tab4_optimization.py

@@ -983,7 +983,7 @@ def export_scenario():
             alloc_df["Total share (%)"] = (alloc_df[f"{CO2_UNIT} removed"] / alloc_total * 100).round(2)
         method_constraints_export = scenario.get("method_constraints", {})
         alloc_df["Cap constraint"] = pd.Series({
-            m: (f"{c['cap_value']:,.2f} {CO2_UNIT}/yr" if c.get("cap_type") == "absolute"
+            m: (f"{c['cap_value']:,g} {CO2_UNIT}/yr" if c.get("cap_type") == "absolute"
                 else f"{int(c.get('cap_value', 100))}% of potential")
             for m, c in method_constraints_export.items()
         })
@@ -1410,7 +1410,7 @@ def render_tab():
     )
     df_display = df_result.copy()
     df_display[f"{CO2_UNIT} removed"] = df_display[f"{CO2_UNIT} removed"].map(
-        lambda x: f"{x:,.4f}" if pd.notna(x) else x
+        lambda x: f"{x:,g}" if pd.notna(x) else x
     )
 
     with tab_results:

utils/data_utils.py

@@ -596,7 +596,7 @@ def build_results_df(allocations: dict, method_constraints: dict | None = None)
         for m in df.index:
             c = method_constraints.get(m, {})
             if c.get("cap_type") == "absolute":
-                caps[m] = f"{c['cap_value']:,.2f} {CO2_UNIT}/yr"
+                caps[m] = f"{c['cap_value']:,g} {CO2_UNIT}/yr"
             elif c.get("cap_type") == "percent":
                 caps[m] = f"{int(c.get('cap_value', 100))}% of potential"
             else: