gh-actions(deps): bump tektronix/python-package-ci-cd from 1.7.5 to 1.7.6 in the gh-actions-dependencies group by dependabot[bot] · Pull Request #104 · tektronix/tm_data_types

dependabot · 2025-07-15T03:57:21Z

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nfelt14 · 2025-07-15T06:21:34Z

@dependabot recreate

--- updated-dependencies: - dependency-name: tektronix/python-package-ci-cd dependency-version: 1.7.6 dependency-type: direct:production update-type: version-update:semver-patch dependency-group: gh-actions-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>

codecov · 2025-07-15T06:23:34Z

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 87.08%. Comparing base (4bb6b15) to head (30132e5).
⚠️ Report is 16 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #104   +/-   ##
=======================================
  Coverage   87.08%   87.08%           
=======================================
  Files          28       28           
  Lines        1828     1828           
  Branches      189      189           
=======================================
  Hits         1592     1592           
  Misses        173      173           
  Partials       63       63

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github-actions · 2025-07-15T06:27:17Z

Test Results (macos)

path	passed	skipped	xfailed	subtotal
tests/test_tm_data_types.py	18	1	2	21
TOTAL	18	1	2	21

tests/test_tm_data_types.py

tmp_path = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_iq0')

    @pytest.mark.xfail(reason="IQ waveforms are broken")
    def test_iq(tmp_path: Path) -> None:
        """Test to see if IQ waveforms will return the same data when saved and loaded."""
        temp_waveform = "test_iq."
        waveform_data = "iq_data.npy"
        waveform_name = "iq_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
    
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
            FileExtensions.MAT.value,
        ]
        file_types = [WaveformFileWFMIQ]
        for extension, _ in zip(extensions, file_types):
            temporary_path = tmp_path / (temp_waveform + extension)
>           read_write_read(
                "interleaved_iq_axis_values",
                waveform_path + extension,
                data_path,
                temporary_path.as_posix(),
            )

_          = <class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>
data_path  = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
extension  = 'wfm'
extensions = ['wfm', 'csv', 'mat']
file_types = [<class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>]
temp_waveform = 'test_iq.'
temporary_path = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm')
tmp_path   = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_iq0')
waveform_data = 'iq_data.npy'
waveform_dir = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms'
waveform_name = 'iq_waveform.'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.'

tests/test_tm_data_types.py:228: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

vertical_data = 'interleaved_iq_axis_values'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.wfm'
data_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
temp_path = '/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'interleaved_iq_axis_values'

data_path  = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x107c01270>
temp_path  = '/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm'
vertical_data = 'interleaved_iq_axis_values'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.wfm'

tests/test_tm_data_types.py:144: AttributeErrortmp_path = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_digital0')

    @pytest.mark.xfail(reason="Digital waveforms are broken")
    def test_digital(tmp_path: Path) -> None:
        """Test to see if digital waveforms will return the same data when saved and loaded."""
        waveform_data = "digital_data.npy"
        waveform_name = "digital_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
        ]
        for known_extension in extensions:
            for temporary_extension in extensions:
                temp_waveform = (
                    f"test_digital_{known_extension}_to_{temporary_extension}.{temporary_extension}"
                )
                temporary_path = tmp_path / temp_waveform
>               read_write_read(
                    "y_axis_byte_values",
                    waveform_path + known_extension,
                    data_path,
                    temporary_path.as_posix(),
                )

data_path  = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
extensions = ['wfm', 'csv']
known_extension = 'wfm'
temp_waveform = 'test_digital_wfm_to_wfm.wfm'
temporary_extension = 'wfm'
temporary_path = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm')
tmp_path   = PosixPath('/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_digital0')
waveform_data = 'digital_data.npy'
waveform_dir = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms'
waveform_name = 'digital_waveform.'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.'

tests/test_tm_data_types.py:254: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

vertical_data = 'y_axis_byte_values'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.wfm'
data_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
temp_path = '/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'y_axis_byte_values'. Did you mean: 'y_axis_values'?

data_path  = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x107c000f0>
temp_path  = '/private/var/folders/y6/nj790rtn62lfktb1sh__79hc0000gn/T/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'
vertical_data = 'y_axis_byte_values'
waveform_path = '/Users/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.wfm'

tests/test_tm_data_types.py:144: AttributeError('/Users/runner/work/tm_data_types/tm_data_types/tests/test_tm_data_types.py', 551, 'Skipped: Skipping 1G test in GitHub Actions environment')

Link to workflow run

github-actions · 2025-07-15T06:27:21Z

Test Results (windows)

path	passed	skipped	xfailed	subtotal
tests\test_tm_data_types.py	18	1	2	21
TOTAL	18	1	2	21

tests\test_tm_data_types.py

tmp_path = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_iq0')

    @pytest.mark.xfail(reason="IQ waveforms are broken")
    def test_iq(tmp_path: Path) -> None:
        """Test to see if IQ waveforms will return the same data when saved and loaded."""
        temp_waveform = "test_iq."
        waveform_data = "iq_data.npy"
        waveform_name = "iq_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
    
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
            FileExtensions.MAT.value,
        ]
        file_types = [WaveformFileWFMIQ]
        for extension, _ in zip(extensions, file_types):
            temporary_path = tmp_path / (temp_waveform + extension)
>           read_write_read(
                "interleaved_iq_axis_values",
                waveform_path + extension,
                data_path,
                temporary_path.as_posix(),
            )

_          = <class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>
data_path  = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_data.npy'
extension  = 'wfm'
extensions = ['wfm', 'csv', 'mat']
file_types = [<class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>]
temp_waveform = 'test_iq.'
temporary_path = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_iq0/test_iq.wfm')
tmp_path   = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_iq0')
waveform_data = 'iq_data.npy'
waveform_dir = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms'
waveform_name = 'iq_waveform.'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_waveform.'

tests\test_tm_data_types.py:228: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

vertical_data = 'interleaved_iq_axis_values'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_waveform.wfm'
data_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_data.npy'
temp_path = 'C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_iq0/test_iq.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'interleaved_iq_axis_values'

data_path  = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x000002A4DC862990>
temp_path  = 'C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_iq0/test_iq.wfm'
vertical_data = 'interleaved_iq_axis_values'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/iq_waveform.wfm'

tests\test_tm_data_types.py:144: AttributeErrortmp_path = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_digital0')

    @pytest.mark.xfail(reason="Digital waveforms are broken")
    def test_digital(tmp_path: Path) -> None:
        """Test to see if digital waveforms will return the same data when saved and loaded."""
        waveform_data = "digital_data.npy"
        waveform_name = "digital_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
        ]
        for known_extension in extensions:
            for temporary_extension in extensions:
                temp_waveform = (
                    f"test_digital_{known_extension}_to_{temporary_extension}.{temporary_extension}"
                )
                temporary_path = tmp_path / temp_waveform
>               read_write_read(
                    "y_axis_byte_values",
                    waveform_path + known_extension,
                    data_path,
                    temporary_path.as_posix(),
                )

data_path  = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_data.npy'
extensions = ['wfm', 'csv']
known_extension = 'wfm'
temp_waveform = 'test_digital_wfm_to_wfm.wfm'
temporary_extension = 'wfm'
temporary_path = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm')
tmp_path   = WindowsPath('C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_digital0')
waveform_data = 'digital_data.npy'
waveform_dir = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms'
waveform_name = 'digital_waveform.'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_waveform.'

tests\test_tm_data_types.py:254: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

vertical_data = 'y_axis_byte_values'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_waveform.wfm'
data_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_data.npy'
temp_path = 'C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'y_axis_byte_values'. Did you mean: 'y_axis_values'?

data_path  = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x000002A4DC863CD0>
temp_path  = 'C:/Users/runneradmin/AppData/Local/Temp/pytest-of-unknown/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'
vertical_data = 'y_axis_byte_values'
waveform_path = 'D:\\a\\tm_data_types\\tm_data_types\\tests/waveforms/digital_waveform.wfm'

tests\test_tm_data_types.py:144: AttributeError('D:\\a\\tm_data_types\\tm_data_types\\tests\\test_tm_data_types.py', 551, 'Skipped: Skipping 1G test in GitHub Actions environment')

Link to workflow run

github-actions · 2025-07-15T06:27:21Z

Test Results (ubuntu)

path	passed	skipped	xfailed	subtotal
tests/test_tm_data_types.py	18	1	2	21
TOTAL	18	1	2	21

tests/test_tm_data_types.py

tmp_path = PosixPath('/tmp/pytest-of-runner/pytest-0/test_iq0')

    @pytest.mark.xfail(reason="IQ waveforms are broken")
    def test_iq(tmp_path: Path) -> None:
        """Test to see if IQ waveforms will return the same data when saved and loaded."""
        temp_waveform = "test_iq."
        waveform_data = "iq_data.npy"
        waveform_name = "iq_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
    
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
            FileExtensions.MAT.value,
        ]
        file_types = [WaveformFileWFMIQ]
        for extension, _ in zip(extensions, file_types):
            temporary_path = tmp_path / (temp_waveform + extension)
>           read_write_read(
                "interleaved_iq_axis_values",
                waveform_path + extension,
                data_path,
                temporary_path.as_posix(),
            )

_          = <class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>
data_path  = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
extension  = 'wfm'
extensions = ['wfm', 'csv', 'mat']
file_types = [<class 'tm_data_types.files_and_formats.wfm.data_formats.iq.WaveformFileWFMIQ'>]
temp_waveform = 'test_iq.'
temporary_path = PosixPath('/tmp/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm')
tmp_path   = PosixPath('/tmp/pytest-of-runner/pytest-0/test_iq0')
waveform_data = 'iq_data.npy'
waveform_dir = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms'
waveform_name = 'iq_waveform.'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.'

tests/test_tm_data_types.py:228: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

vertical_data = 'interleaved_iq_axis_values'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.wfm'
data_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
temp_path = '/tmp/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'interleaved_iq_axis_values'

data_path  = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x7f5eaa0be570>
temp_path  = '/tmp/pytest-of-runner/pytest-0/test_iq0/test_iq.wfm'
vertical_data = 'interleaved_iq_axis_values'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/iq_waveform.wfm'

tests/test_tm_data_types.py:144: AttributeErrortmp_path = PosixPath('/tmp/pytest-of-runner/pytest-0/test_digital0')

    @pytest.mark.xfail(reason="Digital waveforms are broken")
    def test_digital(tmp_path: Path) -> None:
        """Test to see if digital waveforms will return the same data when saved and loaded."""
        waveform_data = "digital_data.npy"
        waveform_name = "digital_waveform."
        waveform_dir = f"{Path(__file__).parent}/waveforms"
        waveform_path = f"{waveform_dir}/{waveform_name}"
        data_path = f"{waveform_dir}/{waveform_data}"
        extensions = [
            FileExtensions.WFM.value,
            FileExtensions.CSV.value,
        ]
        for known_extension in extensions:
            for temporary_extension in extensions:
                temp_waveform = (
                    f"test_digital_{known_extension}_to_{temporary_extension}.{temporary_extension}"
                )
                temporary_path = tmp_path / temp_waveform
>               read_write_read(
                    "y_axis_byte_values",
                    waveform_path + known_extension,
                    data_path,
                    temporary_path.as_posix(),
                )

data_path  = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
extensions = ['wfm', 'csv']
known_extension = 'wfm'
temp_waveform = 'test_digital_wfm_to_wfm.wfm'
temporary_extension = 'wfm'
temporary_path = PosixPath('/tmp/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm')
tmp_path   = PosixPath('/tmp/pytest-of-runner/pytest-0/test_digital0')
waveform_data = 'digital_data.npy'
waveform_dir = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms'
waveform_name = 'digital_waveform.'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.'

tests/test_tm_data_types.py:254: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

vertical_data = 'y_axis_byte_values'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.wfm'
data_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
temp_path = '/tmp/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'

    def read_write_read(
        vertical_data: str,
        waveform_path: str,
        data_path: str,
        temp_path: str,
    ):
        """Read a file, then write the waveform from the file, then read it again.
    
        Args:
            vertical_data: The name of the data attribute for vertical data.
            data_path: The path for a saved numpy file for data that should be retrieved from the file.
            waveform_path: The path of a saved waveform.
            temp_path: The path of a temporarily saved waveform.
        """
        read_wfm: Waveform = read_file(waveform_path)
>       read_wfm_values = getattr(read_wfm, vertical_data)
                          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E       AttributeError: 'AnalogWaveform' object has no attribute 'y_axis_byte_values'. Did you mean: 'y_axis_values'?

data_path  = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_data.npy'
read_wfm   = <tm_data_types.datum.waveforms.analog_waveform.AnalogWaveform object at 0x7f5ea9f7dd30>
temp_path  = '/tmp/pytest-of-runner/pytest-0/test_digital0/test_digital_wfm_to_wfm.wfm'
vertical_data = 'y_axis_byte_values'
waveform_path = '/home/runner/work/tm_data_types/tm_data_types/tests/waveforms/digital_waveform.wfm'

tests/test_tm_data_types.py:144: AttributeError('/home/runner/work/tm_data_types/tm_data_types/tests/test_tm_data_types.py', 551, 'Skipped: Skipping 1G test in GitHub Actions environment')

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dependabot Bot added dependencies gh-actions labels Jul 15, 2025

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nfelt14 merged commit b08c874 into main Jul 15, 2025
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gh-actions(deps): bump tektronix/python-package-ci-cd from 1.7.5 to 1.7.6 in the gh-actions-dependencies group#104

gh-actions(deps): bump tektronix/python-package-ci-cd from 1.7.5 to 1.7.6 in the gh-actions-dependencies group#104
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