Format all files using pre-commit hooks

examples/cpp/fill-grid-v1.cpp

@@ -1,7 +1,7 @@
 ////////////////////////////////////////////////////////////////////////////
 // Exactly the same as `fill-grid.cpp` but using the generalization features
 // introduced by v1. This in particular concerns the following functions:
-// 
+//
 // - pineappl_add_channel
 // - pineappl_grid_new2
 // - pineappl_grid_fill2
@@ -129,7 +129,7 @@ int main() {
     auto* channels = pineappl_lumi_new();
 
     // Specify the dimension of the channel, ie the number of convolutions required
-    std::size_t nb_convolutions = 2; 
+    std::size_t nb_convolutions = 2;
 
     // photon-photon initial state, where `22` is the photon (PDG MC ids)
     int32_t pids1[] = { 22, 22 };

examples/fortran/lhapdf_example_v1.f90

@@ -53,7 +53,7 @@ program lhapdf_example
     call lhapdf_initpdfset_byname(1, "nCTEQ15FullNuc_208_82")
 
     ! write(*, *) "xfx_test1: ", xfx_test1(0, 0.5_dp, 100.0_dp, c_null_ptr)
-    
+
     ! calling pineappl_grid_convolve without any flags
     xfx = pineappl_xfx(xfx_test1)
     alphas = pineappl_alphas(alphas_test1)
@@ -75,7 +75,7 @@ function xfx_test1(pdg_id, x, q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         integer(c_int32_t), value, intent(in) :: pdg_id
         real(c_double), value, intent(in)     :: x, q2
         type(c_ptr), value, intent(in)        :: state
@@ -88,7 +88,7 @@ function xfx_test2(pdg_id, x, q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         integer(c_int32_t), value, intent(in) :: pdg_id
         real(c_double), value, intent(in)     :: x, q2
         type(c_ptr), value, intent(in)        :: state
@@ -105,7 +105,7 @@ function alphas_test1(q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         real(c_double), value, intent(in) :: q2
         type(c_ptr), value, intent(in)    :: state
         real(c_double)                    :: alphas_test1
@@ -117,7 +117,7 @@ function alphas_test2(q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         real(c_double), value, intent(in) :: q2
         type(c_ptr), value, intent(in)    :: state
         real(c_double)                    :: alphas_test2

examples/fortran/test_v1.f90

@@ -1,7 +1,7 @@
 program test_pineappl
     use pineappl
     use iso_c_binding
-    
+
     implicit none
 
     integer, parameter :: dp = kind(0.0d0)
@@ -24,7 +24,7 @@ program test_pineappl
 
     channels = pineappl_channels_new()
     call pineappl_channels_add(channels, 3, 2, [0, 0, 1, -1, 2, -2], [1.0_dp, 1.0_dp, 1.0_dp])
-    
+
     if (pineappl_lumi_count(channels) /= 1) then
         write(*, *) "pineappl_lumi_count(): ", pineappl_lumi_count(channels)
         error stop "error: pineappl_lumi_count"
@@ -190,7 +190,7 @@ function xfx1_test(pdg_id, x, q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         integer(c_int32_t), value, intent(in) :: pdg_id
         real(c_double), value, intent(in)     :: x, q2
         type(c_ptr), value, intent(in)        :: state
@@ -203,7 +203,7 @@ function xfx2_test(pdg_id, x, q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         integer(c_int32_t), value, intent(in) :: pdg_id
         real(c_double), value, intent(in)     :: x, q2
         type(c_ptr), value, intent(in)        :: state
@@ -216,7 +216,7 @@ function alphas_test(q2, state) bind(c)
         use iso_c_binding
 
         implicit none
-        
+
         real(c_double), value, intent(in) :: q2
         type(c_ptr), value, intent(in)    :: state
         real(c_double)                    :: alphas_test

pineappl_py/tests/conftest.py

@@ -109,9 +109,7 @@ def grid_with_generic_convolution(
 
         # Construct the `Scales` object
         fragmentation_scale = (
-            ScaleFuncForm.Scale(0)
-            if nb_convolutions >= 3
-            else ScaleFuncForm.NoScale(0)
+            ScaleFuncForm.Scale(0) if nb_convolutions >= 3 else ScaleFuncForm.NoScale(0)
         )
         scale_funcs = Scales(
             ren=ScaleFuncForm.Scale(0),

pineappl_py/tests/test_bin.py

@@ -37,9 +37,7 @@ def test_binremapper(self, fake_grids):
         bin_dims = g.bin_dimensions()
         bin_limits = [
             (left, right)
-            for left, right in zip(
-                g.bin_left(bin_dims - 1), g.bin_right(bin_dims - 1)
-            )
+            for left, right in zip(g.bin_left(bin_dims - 1), g.bin_right(bin_dims - 1))
         ]
         normalizations = [10.0 for _ in g.bin_normalizations()]
 

pineappl_py/tests/test_grid.py

@@ -253,9 +253,7 @@ def test_incosistent_convolutions(
                 xfxs=[pdf.polarized_pdf],  # Requires ONE single PDF
                 alphas=pdf.alphasQ,
             )
-        assert "called `Option::unwrap()` on a `None` value" == str(
-            err_func.value
-        )
+        assert "called `Option::unwrap()` on a `None` value" == str(err_func.value)
 
     @pytest.mark.parametrize("params,expected", TESTING_SPECS)
     def test_toy_convolution(self, fake_grids, params, expected):
@@ -440,9 +438,7 @@ def test_many_convolutions(self, fake_grids, pdf, nb_convolutions: int = 3):
         _q2grid = np.geomspace(1e3, 1e5, 5)
         _xgrid = np.geomspace(1e-5, 1, 4)
         comb_nodes = [_q2grid] + [_xgrid for _ in range(nb_convolutions)]
-        ntuples = [
-            np.array(list(kins)) for kins in itertools.product(*comb_nodes)
-        ]
+        ntuples = [np.array(list(kins)) for kins in itertools.product(*comb_nodes)]
         obs = [rndgen.uniform(binning[0], binning[-1]) for _ in ntuples]
         for pto in range(len(ORDERS)):
             for channel_id in range(len(channels)):

pineappl_py/tests/test_subgrid.py

@@ -73,7 +73,9 @@ def fake_grid(self, fake_grids) -> Grid:
             convolutions=[CONVOBJECT],
         )
 
-    def fake_importonlysubgrid(self, nb_xdim: int = 1) -> Tuple[ImportSubgridV1, OperatorInfo]:
+    def fake_importonlysubgrid(
+        self, nb_xdim: int = 1
+    ) -> Tuple[ImportSubgridV1, OperatorInfo]:
         x_grids = [np.linspace(0.1, 1, 2) for _ in range(nb_xdim)]
         xgrid_size = [x.size for x in x_grids]
         Q2s = np.linspace(10, 20, 2)