upstream/ipython Files · tools/tests/inline_figshow.py

`AssertionError`: `assert _xterm_term_title_saved` in WSL (#14480)...

`AssertionError`: `assert _xterm_term_title_saved` in WSL (#14480) `AssertionError`: `assert _xterm_term_title_saved` In some (unknown) situation, it is possible that the `_xterm_term_title_saved` is unset, but the code would make a call to `_restore_term_title_xterm`, resulting in `AssertionError`. At least on replicatable reproduction is returning from `ipython` to `pudb` via `^D^D` on an empty cell. See more details in https://github.com/ipython/ipython/pull/14480 Signed-off-by: Stavros Ntentos <133706+stdedos@users.noreply.github.com> <details> <summary><em>was:</em></summary> In some (unknown) situation, it is possible that the `_xterm_term_title_saved` is unset, but the code would make a call to `_restore_term_title_xterm`, resulting in `AssertionError`. As title stacking does not seem to be getting traction (https://github.com/microsoft/terminal/issues/14575), do not set the `xterm` variants of `_set_term_title` / `_restore_term_title`. WSL detection: https://superuser.com/a/1749811/533196 Additionally, almost-`black` the file. </details>

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      """Manual test for figure.show() in the inline matplotlib backend.

      This script should be loaded for interactive use (via %load) into a qtconsole

      or notebook initialized with the inline backend.

      Expected behavior: only *one* copy of the figure is shown.

      For further details:

      https://github.com/ipython/ipython/issues/1612

      https://github.com/matplotlib/matplotlib/issues/835

      """

      import numpy as np

      import matplotlib.pyplot as plt

      plt.ioff()

      x = np.random.uniform(-5, 5, size=(100))

      y = np.random.uniform(-5, 5, size=(100))

      f = plt.figure()

      plt.scatter(x, y)

      plt.plot(y)

      f.show()

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				"""Manual test for figure.show() in the inline matplotlib backend.

				This script should be loaded for interactive use (via %load) into a qtconsole
				or notebook initialized with the inline backend.

				Expected behavior: only one copy of the figure is shown.


				For further details:
				https://github.com/ipython/ipython/issues/1612
				https://github.com/matplotlib/matplotlib/issues/835
				"""

				import numpy as np
				import matplotlib.pyplot as plt

				plt.ioff()
				x = np.random.uniform(-5, 5, size=(100))
				y = np.random.uniform(-5, 5, size=(100))
				f = plt.figure()
				plt.scatter(x, y)
				plt.plot(y)
				f.show()