pre-commit: Add codespell and other checks (#263)

pyscriptjs/examples/fractals.py

@@ -1,5 +1,3 @@
-from typing import Tuple
-
 import numpy as np
 from numpy.polynomial import Polynomial
 
@@ -14,7 +12,7 @@ def mandelbrot(
     max_iterations: int = 100
 ) -> np.array:
     """
-    From https://www.learnpythonwithrune.org/numpy-compute-mandelbrot-set-by-vectorization/.
+    https://www.learnpythonwithrune.org/numpy-compute-mandelbrot-set-by-vectorization
     """
     # To make navigation easier we calculate these values
     x_width, y_height = 1.5, 1.5 * height / width
@@ -56,7 +54,7 @@ def julia(
     max_iterations: int = 100
 ) -> np.array:
     """
-    From https://www.learnpythonwithrune.org/numpy-calculate-the-julia-set-with-vectorization/.
+    https://www.learnpythonwithrune.org/numpy-calculate-the-julia-set-with-vectorization
     """
     # To make navigation easier we calculate these values
     x_width, y_height = 1.5, 1.5 * height / width
@@ -84,7 +82,7 @@ def julia(
     return div_time
 
 
-Range = Tuple[float, float]
+Range = tuple[float, float]
 
 
 def newton(
@@ -96,7 +94,7 @@ def newton(
     xr: Range = (-2.5, 1),
     yr: Range = (-1, 1),
     max_iterations: int = 100
-) -> (np.array, np.array):
+) -> tuple[np.array, np.array]:
     """ """
     # To make navigation easier we calculate these values
     x_from, x_to = xr

pyscriptjs/examples/micrograd_ai.html

@@ -42,7 +42,7 @@
             <p>
                 Currently the <code>&gt;</code> symbol is being imported incorrectly as <code>&ampgt;</code> into the REPL's.
                 In this app the <code>&gt;</code> symbol has been replaced with <code>().__gt__()</code> so you can run the code
-                without issue. Ex: intead of <code>a &gt; b</code>, you will see <code>(a).__gt__(b)</code> instead. <br>
+                without issue. Ex: instead of <code>a &gt; b</code>, you will see <code>(a).__gt__(b)</code> instead. <br>
             </p>
             <p>
                 <py-script>import js; js.document.getElementById('python-status').innerHTML = 'Python is now ready. You may proceed.'</py-script>

pyscriptjs/examples/micrograd_ai.py

@@ -8,7 +8,7 @@ import numpy as np
 
 # cell
 from micrograd.engine import Value
-from micrograd.nn import MLP, Layer, Neuron
+from micrograd.nn import MLP
 
 print_statements = []
 
@@ -43,7 +43,8 @@ def micrograd_demo(*args, **kwargs):
     random.seed(1337)
 
     # cell
-    # An adaptation of sklearn's make_moons function https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
+    # An adaptation of sklearn's make_moons function
+    # https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_moons.html
     def make_moons(n_samples=100, noise=None):
         n_samples_out, n_samples_in = n_samples, n_samples
 
@@ -102,7 +103,7 @@ def micrograd_demo(*args, **kwargs):
         data_loss = sum(losses) * (1.0 / len(losses))
         # L2 regularization
         alpha = 1e-4
-        reg_loss = alpha * sum((p * p for p in model.parameters()))
+        reg_loss = alpha * sum(p * p for p in model.parameters())
         total_loss = data_loss + reg_loss
 
         # also get accuracy
@@ -120,7 +121,7 @@ def micrograd_demo(*args, **kwargs):
     for k in range(20):  # was 100
 
         # forward
-        total_loss, acc = loss()
+        total_loss, _ = loss()
 
         # backward
         model.zero_grad()
@@ -146,7 +147,7 @@ def micrograd_demo(*args, **kwargs):
     Z = np.array([(s.data).__gt__(0) for s in scores])
     Z = Z.reshape(xx.shape)
 
-    fig = plt.figure()
+    _ = plt.figure()
     plt.contourf(xx, yy, Z, cmap=plt.cm.Spectral, alpha=0.8)
     plt.scatter(X[:, 0], X[:, 1], c=y, s=40, cmap=plt.cm.Spectral)
     plt.xlim(xx.min(), xx.max())

pyscriptjs/examples/todo.py

@@ -1,6 +1,5 @@
 from datetime import datetime as dt
 
-from js import console
 from utils import add_class, remove_class
 
 tasks = []
@@ -27,7 +26,8 @@ def add_task(*ags, **kws):
 
     tasks.append(task)
 
-    # add the task element to the page as new node in the list by cloning from a template
+    # add the task element to the page as new node in the list by cloning from a
+    # template
     task_html = task_template.clone(task_id, to=task_list)
     task_html_content = task_html.select("p")
     task_html_content.element.innerText = task["content"]