diff --git a/pineappl_py/tests/test_evolution.py b/pineappl_py/tests/test_evolution.py index cf25086e..f5627ad3 100644 --- a/pineappl_py/tests/test_evolution.py +++ b/pineappl_py/tests/test_evolution.py @@ -13,15 +13,16 @@ from pineappl.grid import Grid, Order from pineappl.interpolation import Interp from pineappl.pids import PidBasis +from typing import List class TestEvolution: def fake_grid( self, - channels: list[Channel], - orders: list[Order], - convolutions: list[Conv], - bins: list[float] = [1e-7, 1e-3, 1], + channels: List[Channel], + orders: List[Order], + convolutions: List[Conv], + bins: List[float] = [1e-7, 1e-3, 1], ) -> Grid: kinematics = [ Kinematics(0), # Scale diff --git a/pineappl_py/tests/test_fk_table.py b/pineappl_py/tests/test_fk_table.py index 4be4e278..cec07f7e 100644 --- a/pineappl_py/tests/test_fk_table.py +++ b/pineappl_py/tests/test_fk_table.py @@ -12,15 +12,16 @@ from pineappl.import_subgrid import ImportSubgridV1 from pineappl.interpolation import Interp from pineappl.pids import PidBasis +from typing import List class TestFkTable: def fake_grid( self, - channels: list[Channel], - orders: list[Order], - convolutions: list[Conv], - bins: list[float] = [1e-7, 1e-3, 1], + channels: List[Channel], + orders: List[Order], + convolutions: List[Conv], + bins: List[float] = [1e-7, 1e-3, 1], ) -> Grid: kinematics = [ Kinematics(0), # Scale diff --git a/pineappl_py/tests/test_grid.py b/pineappl_py/tests/test_grid.py index f56cbfe3..49a4a26f 100644 --- a/pineappl_py/tests/test_grid.py +++ b/pineappl_py/tests/test_grid.py @@ -1,5 +1,6 @@ import numpy as np import pytest + from pineappl.bin import BinRemapper from pineappl.boc import Channel, Kinematics from pineappl.convolutions import Conv, ConvType @@ -7,6 +8,7 @@ from pineappl.import_subgrid import ImportSubgridV1 from pineappl.interpolation import Interp from pineappl.pids import PidBasis +from typing import List # Construct the type of convolutions and the convolution object # We assume unpolarized proton PDF @@ -22,9 +24,9 @@ class TestGrid: def fake_grid( self, - channels: list[Channel] = CHANNELS, - orders: list[Order] = ORDERS, - bins: list[float] = [1e-7, 1e-3, 1], + channels: List[Channel] = CHANNELS, + orders: List[Order] = ORDERS, + bins: List[float] = [1e-7, 1e-3, 1], ) -> Grid: # We assume symmetrical proton-proton in the initial state convolutions = [CONVOBJECT, CONVOBJECT]