def get_matching_rows(self, local=None, remote=None, status=None):
"""
Returns a list of rows that match a `search_dict`.
`search_dict` is a dictionary with a subset of the keys in a row.
"""
test_row = {'local': local, 'remote': remote, 'status': status}
test_row = filter_dict(lambda x: x is not None, test_row)
test_row = construct_row_values(test_row)
return [row for row in self.rows if subdict_matches(row, test_row)]
def get_matching_rows(self, local=None, remote=None, status=None):
"""
Returns a list of rows that match a `search_dict`.
`search_dict` is a dictionary with a subset of the keys in a row.
"""
credless_remote = UncDirectory(remote.get_path()) if isinstance(remote, UncDirectory) else remote
test_row = construct_row_values(
remove_nones_in_dict({"local": local, "remote": credless_remote, "status": status})
)
return [row for row in self.rows if subdict_matches(row, test_row)]
def get_matching_rows(self, local=None, remote=None, status=None):
"""
Returns a list of rows that match a `search_dict`.
`search_dict` is a dictionary with a subset of the keys in a row.
"""
credless_remote = UncDirectory(remote.get_path()) if isinstance(
remote, UncDirectory) else remote
test_row = construct_row_values(
remove_nones_in_dict({
'local': local,
'remote': credless_remote,
'status': status
}))
return [row for row in self.rows if subdict_matches(row, test_row)]
