<jupyter_start><jupyter_text>This is a test notebook<jupyter_code>## __init__
a = 5
print('I am inside loaded_notebook!')
print((3, a))
print((lambda: (4, a))())
## create_b
b = 10
## add_one
a += 1
##block __init__
import numpy as np
import matplotlib.pyplot as plt
print('in __init__')
cycles = 1
n = 50
##lastblock
print('I should still be in __init__')
## raises_exception __skip__
raise Exception('This cell should be skipped.')<jupyter_output><empty_output><jupyter_text>Data<jupyter_code>print('Ran Data (heading 1)')<jupyter_output>Ran Data (heading 1)<jupyter_text>Data 1<jupyter_code>x = np.arange(n)
x
print('Ran Data 1 (heading 2)')<jupyter_output>Ran Data 1 (heading 2)<jupyter_text>Data 2<jupyter_code>y = np.sin(cycles * 2 * np.pi * np.arange(n) / n)
y
print('Ran Data 2 (heading 2)')<jupyter_output>Ran Data 2 (heading 2)<jupyter_text>Plot Plot 1<jupyter_code>print('Ran Plot 1 (heading 2)')
plt.plot(x, label='plot 1');<jupyter_output><empty_output><jupyter_text>Plot 2<jupyter_code>print('Ran Plot 2 (heading 2)')
cycles
plt.plot(y, label='plot 2')
plt.title('adfasdff')
plt.legend();<jupyter_output><empty_output>
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{'chain_length': '6', 'dir': 'jupyter-structured-clean-dedup', 'id': '80043', 'license': 'MIT', 'n_tokens_mistral': 501, 'n_tokens_neox': 459, 'n_words': 108, 'path': 'tutorial/test.ipynb', 'repo_name': 'post2web/nbloader', 'size': '1132'}