Use default line length for Python

Author: cschwan

.pre-commit-config.yaml

@@ -18,7 +18,8 @@ repos:
         args: [--fix]
         exclude: ^pineappl_cli/src/plot.py
       - id: ruff-format
-        args: [--line-length=80]
+        args: []
+        # TODO: remove this exclusion once we've merged this into master
         exclude: ^pineappl_cli/src/plot.py
   - repo: local
     hooks:

examples/python/positivity.py

@@ -38,9 +38,7 @@ def main(filename, Q2):
         )
         grid.set_subgrid(0, bin_, 0, subgrid.into())
     # set the correct observables
-    normalizations = np.array(
-        [1.0] * bins
-    )  # `normalizations` has to be `np.ndarray`
+    normalizations = np.array([1.0] * bins)  # `normalizations` has to be `np.ndarray`
     remapper = pineappl.bin.BinRemapper(normalizations, limits)
     grid.set_remapper(remapper)
 

pineappl_cli/src/subgrid-pull-plot.py

@@ -19,9 +19,7 @@
 
 xi = np.linspace(sym_min, sym_max, (nrap // 2) * 2 + 1)
 yi = np.logspace(log10(np.min(y)), log10(np.max(y)), nmass)
-zi = griddata(
-    (x, y), z, (xi[None, :], yi[:, None]), method="linear", rescale=True
-)
+zi = griddata((x, y), z, (xi[None, :], yi[:, None]), method="linear", rescale=True)
 
 # print(xi.shape)
 # print(yi.shape)
@@ -54,9 +52,7 @@
     (x1, x2), z, (x1i[None, :], x2i[:, None]), method="linear", rescale=True
 )
 
-mesh = axes[1].pcolormesh(
-    x1i, x2i, z12i, shading="nearest", linewidth=0, snap=True
-)
+mesh = axes[1].pcolormesh(x1i, x2i, z12i, shading="nearest", linewidth=0, snap=True)
 axes[1].set_xscale("log")
 axes[1].set_yscale("log")
 axes[1].scatter(x1, x2, marker="*", s=5)

pineappl_cli/tests/plot.rs

@@ -443,9 +443,7 @@ sym_max = max(fabs(np.min(x)), fabs(np.max(x)))
 
 xi = np.linspace(sym_min, sym_max, (nrap // 2) * 2 + 1)
 yi = np.logspace(log10(np.min(y)), log10(np.max(y)), nmass)
-zi = griddata(
-    (x, y), z, (xi[None, :], yi[:, None]), method="linear", rescale=True
-)
+zi = griddata((x, y), z, (xi[None, :], yi[:, None]), method="linear", rescale=True)
 
 # print(xi.shape)
 # print(yi.shape)
@@ -478,9 +476,7 @@ z12i = griddata(
     (x1, x2), z, (x1i[None, :], x2i[:, None]), method="linear", rescale=True
 )
 
-mesh = axes[1].pcolormesh(
-    x1i, x2i, z12i, shading="nearest", linewidth=0, snap=True
-)
+mesh = axes[1].pcolormesh(x1i, x2i, z12i, shading="nearest", linewidth=0, snap=True)
 axes[1].set_xscale("log")
 axes[1].set_yscale("log")
 axes[1].scatter(x1, x2, marker="*", s=5)

pineappl_py/docs/source/advanced.ipynb

@@ -414,9 +414,7 @@
     "edges = np.arange(0.0, 2.4, 0.1)\n",
     "\n",
     "ax.step(edges, nbins, where=\"post\", color=\"C1\")\n",
-    "plt.fill_between(\n",
-    "    np.arange(0.0, 2.4, 0.1), nbins, step=\"post\", color=\"C1\", alpha=0.2\n",
-    ")\n",
+    "plt.fill_between(np.arange(0.0, 2.4, 0.1), nbins, step=\"post\", color=\"C1\", alpha=0.2)\n",
     "ax.set_xlabel(\"$|y_{\\ell\\ell}|$\")\n",
     "ax.set_ylabel(\"$\\mathrm{d} \\sigma / \\mathrm{d} |y_{\\ell\\ell}|$ [pb]\")\n",
     "ax.grid(True, alpha=0.5)\n",

pineappl_py/docs/source/introduction.ipynb

@@ -258,9 +258,7 @@
     ")\n",
     "\n",
     "# Normalization for each bin. See Section below for more details.\n",
-    "bin_norm = np.array(\n",
-    "    [0.125 for _ in range(predictions.size - 2)] + [0.250, 0.250]\n",
-    ")\n",
+    "bin_norm = np.array([0.125 for _ in range(predictions.size - 2)] + [0.250, 0.250])\n",
     "\n",
     "fig, ax = plt.subplots(figsize=(5.6, 3.9))\n",
     "# Factor of `1e3` takes into account the unit conversion into `fb`\n",
@@ -633,9 +631,7 @@
     "# Extract the left & right bin limits\n",
     "bin_limits = [\n",
     "    (left, right)\n",
-    "    for left, right in zip(\n",
-    "        grid.bin_left(bin_dims - 1), grid.bin_right(bin_dims - 1)\n",
-    "    )\n",
+    "    for left, right in zip(grid.bin_left(bin_dims - 1), grid.bin_right(bin_dims - 1))\n",
     "]\n",
     "\n",
     "# Multiply the normalization by a factor of `2`\n",
@@ -705,9 +701,7 @@
    ],
    "source": [
     "# Load our modified grids\n",
-    "grid_nrm = pineappl.grid.Grid.read(\n",
-    "    \"./LHCB_DY_8TEV_custom_normalizations.pineappl.lz4\"\n",
-    ")\n",
+    "grid_nrm = pineappl.grid.Grid.read(\"./LHCB_DY_8TEV_custom_normalizations.pineappl.lz4\")\n",
     "df_nbins = pl.DataFrame({\"bin normalization\": grid_nrm.bin_normalizations()})\n",
     "df_nbins.with_row_index()"
    ]

pineappl_py/tests/test_fk_table.py

@@ -7,9 +7,7 @@ class TestFkTable:
     def fake_grid(self, bins=None):
         channels = [pineappl.boc.Channel([(1, 21, 1.0)])]
         orders = [pineappl.grid.Order(0, 0, 0, 0)]
-        bin_limits = np.array(
-            [1e-7, 1e-3, 1] if bins is None else bins, dtype=float
-        )
+        bin_limits = np.array([1e-7, 1e-3, 1] if bins is None else bins, dtype=float)
         subgrid_params = pineappl.subgrid.SubgridParams()
         g = pineappl.grid.Grid(channels, orders, bin_limits, subgrid_params)
         return g

pineappl_py/tests/test_grid.py

@@ -17,9 +17,7 @@ class TestGrid:
     def fake_grid(self, bins=None):
         channels = [pineappl.boc.Channel([(1, 21, 0.1)])]
         orders = [pineappl.grid.Order(3, 0, 0, 0)]
-        bin_limits = np.array(
-            [1e-7, 1e-3, 1] if bins is None else bins, dtype=float
-        )
+        bin_limits = np.array([1e-7, 1e-3, 1] if bins is None else bins, dtype=float)
         subgrid_params = pineappl.subgrid.SubgridParams()
         g = pineappl.grid.Grid(channels, orders, bin_limits, subgrid_params)
         return g