regen test

jupyter · Dec 24, 2023 · 3f9e29d · 3f9e29d
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diff --git a/papyri/tests/expected/numpy:einsum.expected b/papyri/tests/expected/numpy:einsum.expected
@@ -74,7 +74,7 @@ output : ndarray
 ## Notes
 
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-│ (i): versionadded 1.6.0                                                      │
+│ |?|: versionadded 1.6.0                                                      │
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 The Einstein summation convention can be used to compute many
 multi-dimensional, linear algebraic array operations. `einsum` provides a
@@ -149,15 +149,15 @@ implicit mode, otherwise it will be performed explicitly. The examples below
 have corresponding `einsum` calls with the two parameter methods.
 
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-│ (i): versionadded 1.10.0                                                     │
+│ |?|: versionadded 1.10.0                                                     │
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 Views returned from einsum are now writeable whenever the input array is
 writeable. For example, np.einsum('ijk...->kji...', a) will now have the same
 effect as np.swapaxes(a, 0, 2) <numpy.swapaxes> and np.einsum('ii->i', a) will
 return a writeable view of the diagonal of a 2D array.
 
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-│ (i): versionadded 1.12.0                                                     │
+│ |?|: versionadded 1.12.0                                                     │
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 Added the optimize argument which will optimize the contraction order of an
 einsum expression. For a contraction with three or more operands this can

diff --git a/papyri/tests/expected/numpy:linspace.expected b/papyri/tests/expected/numpy:linspace.expected
@@ -12,13 +12,13 @@ Returns num evenly spaced samples, calculated over the interval [`start`, stop
 The endpoint of the interval can optionally be excluded.
 
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-┃ (i): versionchanged 1.16.0                                                   ┃
+┃ |?|: versionchanged 1.16.0                                                   ┃
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 │ Non-scalar start and stop are now supported.                                 │
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-┃ (i): versionchanged 1.20.0                                                   ┃
+┃ |?|: versionchanged 1.20.0                                                   ┃
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 │ Values are rounded towards -inf instead of 0 when an integer dtype is        │
 │ specified. The old behavior can still be obtained with np.linspace(start,    │
@@ -52,15 +52,15 @@ dtype : dtype, optional
   `float` is chosen even if the arguments would produce an array of integers.
 
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-  │ (i): versionadded 1.9.0                                                    │
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 axis : int, optional
   The axis in the result to store the samples.  Relevant only if start or stop
   are array-like.  By default (0), the samples will be along a new axis
   inserted at the beginning. Use -1 to get an axis at the end.
 
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-  │ (i): versionadded 1.16.0                                                   │
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 ## Returns