Remove trade feature

src/muse/agents/agent.py

@@ -475,8 +475,6 @@ def retirement_profile(
             lifetime,
             investment_year=investment_year,
         )
-        if "dst_region" in investments.coords:
-            investments = investments.reindex_like(profile, method="ffill")
 
         # Apply the retirement profile to the investments
         new_assets = (investments * profile).rename(replacement="asset")

src/muse/agents/factories.py

@@ -193,10 +193,6 @@ def agents_factory(
 
     if regions and "region" in capacity.dims:
         capacity = capacity.sel(region=regions)
-    if regions and "dst_region" in capacity.dims:
-        capacity = capacity.sel(dst_region=regions)
-        if capacity.dst_region.size == 1:
-            capacity = capacity.squeeze("dst_region", drop=True)
     result = []
 
     retrofit_present = False

src/muse/constraints.py

@@ -362,9 +362,6 @@ def max_capacity_expansion(
 
     if b.region.dims == ():
         capa = 1
-    elif "dst_region" in b.dims:
-        b = b.rename(region="src_region")
-        capa = search_space.agent.region == b.src_region
 
     return xr.Dataset(
         dict(b=b, capacity=capa),
@@ -385,8 +382,6 @@ def demand(
 
     enduse = technologies.commodity.sel(commodity=is_enduse(technologies.comm_usage))
     b = demand.sel(commodity=demand.commodity.isin(enduse))
-    if "region" in b.dims and "dst_region" in technologies.dims:
-        b = b.rename(region="dst_region")
     assert "year" not in b.dims
     return xr.Dataset(
         dict(b=b, production=1), attrs=dict(kind=ConstraintKind.LOWER_BOUND)
@@ -451,18 +446,6 @@ def max_production(
         capa = capa.expand_dims(asset=search_space.asset)
     production = ones_like(capa)
     b = zeros_like(production)
-    # Include maxaddition constraint in max production to match region-dst_region
-    if "dst_region" in technologies.dims:
-        b = b.expand_dims(dst_region=technologies.dst_region)
-        capa = capa.rename(region="src_region")
-        production = production.rename(region="src_region")
-        maxadd = technologies.max_capacity_addition.rename(region="src_region")
-        maxadd = maxadd.rename(technology="replacement")
-        maxadd = maxadd.where(maxadd == 0, 0.0)
-        maxadd = maxadd.where(maxadd > 0, -1.0)
-        capa = capa * broadcast_timeslice(maxadd, level=timeslice_level)
-        production = production * broadcast_timeslice(maxadd, level=timeslice_level)
-        b = b.rename(region="src_region")
     return xr.Dataset(
         dict(capacity=-cast(np.ndarray, capa), production=production, b=b),
         attrs=dict(kind=ConstraintKind.UPPER_BOUND),