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fix: use reshape instead of raw shape assignment for numpy arrays #539

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fix: use reshape instead of raw shape assignment for numpy arrays #539

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2 changes: 1 addition & 1 deletion dm_control/mujoco/index.py
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Original file line number Diff line number Diff line change
Expand Up @@ -372,7 +372,7 @@ def convert_key_item(self, key_item):
key_item = np.array([self._names_to_offsets[util.to_native_string(k)]
for k in key_item.flat])
# Ensure the output shape is the same as that of the input.
key_item.shape = original_shape
key_item.reshape(original_shape)

return key_item

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2 changes: 1 addition & 1 deletion dm_control/mujoco/index_test.py
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Expand Up @@ -348,7 +348,7 @@ def testReadWrite_(self, field):
# Don't write to non-float fields since these might contain pointers.
if np.issubdtype(old_contents.dtype, np.floating):
new_contents = np.arange(old_contents.size, dtype=old_contents.dtype)
new_contents.shape = old_contents.shape
new_contents.reshape(old_contents.shape)
field[:] = new_contents
np.testing.assert_array_equal(new_contents, field[:])

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2 changes: 1 addition & 1 deletion dm_control/mujoco/wrapper/core_test.py
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Expand Up @@ -553,7 +553,7 @@ def _write_unique_values(self, attr_name, target_array):
and not np.issubdtype(target_array.dtype, np.integer)
and not np.issubdtype(target_array.dtype, np.bool_)):
new_contents = np.arange(target_array.size, dtype=target_array.dtype)
new_contents.shape = target_array.shape
new_contents.reshape(target_array.shape)
target_array[:] = new_contents
np.testing.assert_array_equal(new_contents, target_array[:])

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