def testLsHdf(self):
'''
Creates 1..n files depending upon the number of arkouda_server locales, invokes the
ls_hdf method on an explicit file name reads the files and confirms the expected
message was returned.
:return: None
:raise: AssertionError if the h5ls output does not match expected value
'''
self._create_file(columns=self.dict_single_column,
prefix_path='{}/iotest_single_column'.format(
IOTest.io_test_dir))
message = ak.ls_hdf('{}/iotest_single_column_LOCALE0000'.format(
IOTest.io_test_dir))
self.assertIn('int_tens_pdarray', message)
with self.assertRaises(RuntimeError) as cm:
ak.ls_hdf('{}/not-a-file_LOCALE0000'.format(IOTest.io_test_dir))
self.assertIn('is not an HDF5 file', cm.exception.args[0])
def testLsHdf(self):
'''
Creates 1..n files depending upon the number of arkouda_server locales, invokes the
ls_hdf method on an explicit file name reads the files and confirms the expected
message was returned.
:return: None
:raise: AssertionError if the h5ls output does not match expected value
'''
self._create_file(columns=self.dict_single_column,
path_prefix='/tmp/iotest_single_column')
message = ak.ls_hdf('/tmp/iotest_single_column_LOCALE0')
self.assertIn('int_tens_pdarray Dataset', message)
def testLsHdfEmpty(self):
# Test filename empty/whitespace-only condition
with self.assertRaises(ValueError):
ak.ls_hdf("")
with self.assertRaises(ValueError):
ak.ls_hdf(" ")
with self.assertRaises(ValueError):
ak.ls_hdf(" \n\r\t ")
