genpy

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Python 3.11 compatibility with unittest methods

1

The deprecated unittest aliases were removed in python/cpython#28268 . The following replacements can be made for Python 3.11 compatibility. assertEquals -> assertEqual failIf -> assertFalse ``` test/test_genpy_rostime.py: self.assertEquals(0, v.secs) test/test_genpy_rostime.py:...

tirkarthi

gbiggs

Results: https://github.com/cclauss/genpy/actions https://flake8.pycqa.org/en/latest/user/error-codes.html On the flake8 test selection, this PR does _not_ focus on "_style violations_" (the majority of flake8 error codes that [__psf/black__](https://github.com/psf/black) can autocorrect). Instead, these tests focus...

cclauss

Given you have some message definition like the following (`SomeMessage.msg`): ``` # \brief Some description # \note Something I really want to stress float64 x ``` ... genpy will not...

benjaminsoellner

Adding new argument to generate_dynamic: tmp_dir_path and tmp_file_name

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For Issue: #124

jimwelagu

generate_dynamic creates millions of tmp directories

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I'm creating an application that reads in ros messages from a ros bag. During the process of reading messages, `generate_dynamic(core_type, msg_cat)` is being called to get the message type definition....

jimwelagu

Support for special float values

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I think [this genmsg issue](https://github.com/ros/genmsg/issues/85) is more appropriate here. > In cases where constants in messages are set to special floats, for example: > > ```python > float32 a =...

glennib

added support for buffer / memoryview data

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Before testing, I rather get feedback if this is a sane / valid solution... (i.e. first trying with an exception handler), also it might fail on non trivial layouts (not...

tzickel

memoryview / buffer inputs should be accepted as serializable data

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Let's say I have a large numpy array that represents an std_msgs/Image.data Today if I try to publish such a message it will fail in this part of the serialize...

tzickel

Use numpy.array's "offset" param instead of slicing

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Passing an offset into numpy.array instead of slicing should prevent an additional copy of the data being created by the slice operation. This is important for really big message types...

abencz