fix style

minitorch · Dec 6, 2021 · 18dfa5c · 18dfa5c
1 parent 4063fab
commit 18dfa5c
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Showing 2 changed files with 6 additions and 7 deletions.
diff --git a/project/sentiment_interface.py b/project/sentiment_interface.py
@@ -83,7 +83,9 @@ def render_run_sentiment_interface():
  "Learning rate", value=0.01, step=0.001, format="%.3f"
  )
  n_training_data = col1.number_input("N datapoints from training data", value=450)
- n_validation_data = col2.number_input("N datapoints from validation data", value=100)
+ n_validation_data = col2.number_input(
+ "N datapoints from validation data", value=100
+ )
  batch_size = st.number_input("Batch size", value=10)
 
  if st.button("Train model"):

diff --git a/tests/test_nn.py b/tests/test_nn.py
@@ -9,20 +9,17 @@
 def test_avg(t):
  out = minitorch.avgpool2d(t, (2, 2))
  assert_close(
- out[0, 0, 0, 0],
- sum([t[0, 0, i, j] for i in range(2) for j in range(2)]) / 4.0
+ out[0, 0, 0, 0], sum([t[0, 0, i, j] for i in range(2) for j in range(2)]) / 4.0
  )
 
  out = minitorch.avgpool2d(t, (2, 1))
  assert_close(
- out[0, 0, 0, 0],
- sum([t[0, 0, i, j] for i in range(2) for j in range(1)]) / 2.0
+ out[0, 0, 0, 0], sum([t[0, 0, i, j] for i in range(2) for j in range(1)]) / 2.0
  )
 
  out = minitorch.avgpool2d(t, (1, 2))
  assert_close(
- out[0, 0, 0, 0],
- sum([t[0, 0, i, j] for i in range(1) for j in range(2)]) / 2.0
+ out[0, 0, 0, 0], sum([t[0, 0, i, j] for i in range(1) for j in range(2)]) / 2.0
  )
  minitorch.grad_check(lambda t: minitorch.avgpool2d(t, (2, 2)), t)