[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
zincware · Nov 11, 2024 · c89002b · c89002b
1 parent 02e7449
commit c89002b
Show file tree

Hide file tree

Showing 2 changed files with 17 additions and 16 deletions.
diff --git a/examples/dataclasses_for_parameters.ipynb b/examples/dataclasses_for_parameters.ipynb
@@ -25,11 +25,12 @@
    },
    "outputs": [],
    "source": [
+    "import dataclasses\n",
     "import pathlib\n",
     "\n",
-    "from zntrack import config\n",
     "import znjson\n",
-    "import dataclasses\n",
+    "\n",
+    "from zntrack import config\n",
     "\n",
     "config.nb_name = \"dataclasses_for_parameters.ipynb\""
    ]
@@ -102,8 +103,9 @@
    },
    "outputs": [],
    "source": [
-    "from zntrack import Node, zn, Project\n",
-    "import random"
+    "import random\n",
+    "\n",
+    "from zntrack import Node, Project, zn"
    ]
   },
   {

diff --git a/examples/estimate_pi_with_mc.ipynb b/examples/estimate_pi_with_mc.ipynb
@@ -64,9 +64,10 @@
    },
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
     "import matplotlib.patches as patches\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
     "import zntrack"
    ]
   },
@@ -85,8 +86,7 @@
    "outputs": [],
    "source": [
     "class MCPi(zntrack.Node):\n",
-    "    \"\"\"\n",
-    "    A class to study Monte Carlo sampling as applied to\n",
+    "    \"\"\"A class to study Monte Carlo sampling as applied to\n",
     "    the computation of Pi.\n",
     "\n",
     "    Attributes\n",
@@ -97,6 +97,7 @@
     "            Number of points in the circle\n",
     "    n_points : int\n",
     "            Total number of points.\n",
+    "\n",
     "    \"\"\"\n",
     "\n",
     "    n_points: int = zntrack.zn.params()\n",
@@ -105,8 +106,7 @@
     "    n_circle_points = zntrack.zn.outs()\n",
     "\n",
     "    def run(self):\n",
-    "        \"\"\"\n",
-    "        Draw N points from a normal distribution.\n",
+    "        \"\"\"Draw N points from a normal distribution.\n",
     "\n",
     "        N : int\n",
     "                Number of points to draw.\n",
@@ -115,20 +115,19 @@
     "        self._circle_points()  # compute the number of points in the circle.\n",
     "\n",
     "    def _circle_points(self):\n",
-    "        \"\"\"\n",
-    "        Compute the number of points in the circle.\n",
+    "        \"\"\"Compute the number of points in the circle.\n",
     "        \"\"\"\n",
     "        radial_values = np.linalg.norm(self.coordinates, axis=1)\n",
     "        self.n_circle_points = len(list(filter(lambda x: x <= 1, radial_values)))\n",
     "\n",
     "    def plot_image(self, axs=None):\n",
-    "        \"\"\"\n",
-    "        Plot the circle, square, and points.\n",
+    "        \"\"\"Plot the circle, square, and points.\n",
     "\n",
     "        Parameters\n",
     "        ----------\n",
     "        axs : mpl.axis\n",
     "                An axis object to plot to if desired.\n",
+    "\n",
     "        \"\"\"\n",
     "        circle = plt.Circle((0, 0), 1, fill=False)\n",
     "        square = patches.Rectangle((0, 0), 1, 1, fill=False)\n",
@@ -150,13 +149,13 @@
     "        plt.show()\n",
     "\n",
     "    def plot_sampling(self, axs=None, show: bool = False):\n",
-    "        \"\"\"\n",
-    "        Plot the result of the sampling.\n",
+    "        \"\"\"Plot the result of the sampling.\n",
     "\n",
     "        Parameters\n",
     "        ----------\n",
     "        axs : mpl.axis\n",
     "                An axis object to plot to if desired.\n",
+    "\n",
     "        \"\"\"\n",
     "        coordinates = np.array(self.coordinates)\n",
     "        circle = plt.Circle((0, 0), 1, fill=False, linewidth=3, edgecolor=\"k\", zorder=10)\n",