[BUG] Issue with slices and numpy

[maxim-masterov]

AST converts the following snippet of the code:

        for i, dims in enumerate(self.text_range_tuples):
            mod = int(dims[0].split("_", 1)[-1])
            # Left is up along the 0th dimension
            if dims[0].startswith("left"):
                self.adjacency_matrix[i, mod:, :] = 0
            # Right is down along the 0th dimension
            elif dims[0].startswith("right"):
                print(dims[0], i, mod)
                self.adjacency_matrix[i, :mod, :] = 0

into the following:

        for (i, dims) in enumerate(self.text_range_tuples):
            mod = int(dims[0].split('_', 1)[(- 1)])
            if dims[0].startswith('left'):
                self.adjacency_matrix[(i, mod:, :)] = 0
            elif dims[0].startswith('right'):
                print(dims[0], i, mod)
                self.adjacency_matrix[(i, :mod, :)] = 0

where adjacency_matrix is an n-dimensional numpy array (np.ndarray).

Basically, AST creates a tuple of indexing dimensions for the numpy array, but you cannot have slice indices (:) when using a tuple for indexing. The issue can be avoided if a user uses slice(0, mod) and slice(0, len(data)) instead, but it's better to do this things automatically on a background.