Python Dataset.file_meta方法代码示例

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
 def test_save_as(self):
     """Test Dataset.save_as"""
     fp = DicomBytesIO()
     ds = Dataset()
     ds.PatientName = 'CITIZEN'
     # Raise AttributeError if is_implicit_VR or is_little_endian missing
     self.assertRaises(
         AttributeError,
         ds.save_as,
         fp,
         write_like_original=False)
     ds.is_implicit_VR = True
     self.assertRaises(
         AttributeError,
         ds.save_as,
         fp,
         write_like_original=False)
     ds.is_little_endian = True
     del ds.is_implicit_VR
     self.assertRaises(
         AttributeError,
         ds.save_as,
         fp,
         write_like_original=False)
     ds.is_implicit_VR = True
     ds.file_meta = Dataset()
     ds.file_meta.MediaStorageSOPClassUID = '1.1'
     ds.file_meta.MediaStorageSOPInstanceUID = '1.2'
     ds.file_meta.TransferSyntaxUID = '1.3'
     ds.file_meta.ImplementationClassUID = '1.4'
     ds.save_as(fp, write_like_original=False)

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
 def new_data_set(tags):
     """ Create a DICOM data set with the given attributes """
     tags = tags or {}
     data_set = Dataset()
     for tag_name, value in tags.items():
         setattr(data_set, tag_name, value)
     data_set.file_meta = Dataset()
     data_set.is_implicit_VR = False
     data_set.is_little_endian = True
     return data_set

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
 def test_is_uncompressed_transfer_syntax(self):
     """Test Dataset._is_uncompressed_transfer_syntax"""
     ds = Dataset()
     with pytest.raises(AttributeError):
         ds._is_uncompressed_transfer_syntax()
     ds.file_meta = Dataset()
     with pytest.raises(AttributeError):
         ds._is_uncompressed_transfer_syntax()
     ds.file_meta.TransferSyntaxUID = ImplicitVRLittleEndian
     assert ds._is_uncompressed_transfer_syntax()
     ds.file_meta.TransferSyntaxUID = JPEGBaseLineLossy8bit
     assert not ds._is_uncompressed_transfer_syntax()

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
    def test_endianness_not_set(self):
        """Test for #704, Dataset.is_little_endian unset."""
        ds = Dataset()
        ds.file_meta = Dataset()
        ds.file_meta.TransferSyntaxUID = ExplicitVRLittleEndian
        ds.Rows = 10
        ds.Columns = 10
        ds.BitsAllocated = 16
        ds.PixelRepresentation = 0
        ds.SamplesPerPixel = 1
        arr = np.ones((10, 10), dtype='uint16')
        ds.PixelData = arr.tobytes()

        assert ds.pixel_array.max() == 1

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
    def testAttributeErrorInProperty(self):
        """Dataset: AttributeError in property raises actual error message.."""
        # This comes from bug fix for issue 42
        # First, fake enough to try the pixel_array property
        ds = Dataset()
        ds.file_meta = Dataset()
        ds.PixelData = 'xyzlmnop'

        def callable_pixel_array():
            ds.pixel_array

        msg = "AttributeError in pixel_array property: " + \
            "'Dataset' object has no attribute 'TransferSyntaxUID'"
        self.failUnlessExceptionArgs(msg, PropertyError, callable_pixel_array)

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
    def testAttributeErrorInProperty(self):
        """Dataset: AttributeError in property raises actual error message.."""
        # This comes from bug fix for issue 42
        # First, fake enough to try the pixel_array property
        ds = Dataset()
        ds.file_meta = Dataset()
        ds.PixelData = "xyzlmnop"

        def callable_pixel_array():
            ds.pixel_array

        attribute_error_msg = (
            "AttributeError in pixel_array property: " + "Dataset does not have attribute 'TransferSyntaxUID'"
        )
        self.failUnlessExceptionArgs(attribute_error_msg, PropertyError, callable_pixel_array)

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
 def testAttributeErrorInProperty(self):
     """Dataset: AttributeError in property raises actual error message.."""
     # This comes from bug fix for issue 42
     # First, fake enough to try the pixel_array property
     ds = Dataset()
     ds.file_meta = Dataset()
     ds.PixelData = 'xyzlmnop'
     msg_from_gdcm = r"'Dataset' object has no attribute 'filename'"
     msg_from_numpy = (r"'Dataset' object has no attribute "
                       "'TransferSyntaxUID'")
     msg_from_pillow = (r"'Dataset' object has no attribute "
                        "'PixelRepresentation'")
     msg = "(" + "|".join(
         [msg_from_gdcm, msg_from_numpy, msg_from_pillow]) + ")"
     with self.assertRaisesRegexp(AttributeError, msg):
         ds.pixel_array

# 需要导入模块: from pydicom.dataset import Dataset [as 别名]
# 或者: from pydicom.dataset.Dataset import file_meta [as 别名]
def _create_temporary_dataset(shape=(100, 1024, 1024, 3), bit_depth=16):
    """Function to create a temporary dataset for use in testing.

    Parameters
    ----------
    shape : 4-tuple
        The (frames, rows, columns, channels) of the test dataset.
    bit_depth : int
        The BitsAllocated value to use for the dataset, one of 8, 16, 32, 64.

    Returns
    -------
    tempfile.TemporaryFile
        A created DICOM File Format conformant dataset.
    """
    ds = Dataset()
    ds.is_little_endian = True
    ds.is_implicit_VR = False
    ds.file_meta = Dataset()
    ds.file_meta.TransferSyntaxUID = ExplicitVRLittleEndian
    ds.SOPClassUID = '1.2.3.4'
    ds.SOPInstanceUID = generate_uid()
    ds.BitsAllocated = bit_depth
    ds.PixelRepresentation = 0
    ds.PlanarConfiguration = 0
    ds.Rows = shape[1]
    ds.Columns = shape[2]
    ds.NumberOfFrames = shape[0]
    ds.SamplesPerPixel = shape[3]
    if shape[3] == 1:
        ds.PhotometricInterpretation = 'MONOCHROME2'
    elif shape[3] == 3:
        ds.PhotometricInterpretation = 'RGB'

    arr = np.zeros(shape, dtype='uint{}'.format(bit_depth))
    ds.PixelData = arr.tobytes()

    if len(ds.PixelData) % 2:
        ds.PixelData += b'\x00'

    tfile = TemporaryFile(mode='w+b')
    ds.save_as(tfile, write_like_original=False)
    tfile.seek(0)

    return tfile