source/test_dataset_transforms.py
def instanciate_sut_transform(self, args, file_count=0, out_file=None, in_file=None):
        """Call the sut transform funtion with predef'd parameters for testing purpose """
        if in_file is None:
            in_file = self.input_ds_path
        if out_file is None:
            out_file = self.output_ds_path

        self.file_count, dataset = dcm_transform.transform(file_count, args, '', in_file, out_file)
        return self.file_count, dataset
Call the sut transform funtion with predef'd parameters for testing purpose 
Call the sut transform funtion with predef'd parameters for testing purpose
Call the sut transform funtion with predef ' d parameters for testing purpose
def instanciate_sut_transform(self, args, file_count=0, out_file=None, in_file=None):
        if in_file is None:
            in_file = self.input_ds_path
        if out_file is None:
            out_file = self.output_ds_path
        self.file_count, dataset = dcm_transform.transform(file_count, args, '', in_file, out_file)
        return self.file_count, dataset
def instanciate_sut_transform ( self , args , file_count = 0 , out_file = None , in_file = None ) : if in_file is None : in_file = self . input_ds_path if out_file is None : out_file = self . output_ds_path self . file_count , dataset = dcm_transform . transform ( file_count , args , '' , in_file , out_file ) return self . file_count , dataset
Call the sut transform funtion with predef'd parameters for testing purpose
Call the sut transform funtion with predef ' d parameters for testing purpose
"""Call the sut transform funtion with predef'd parameters for testing purpose """
self
args
file_count
out_file
in_file