delete file which is not actually used and is a throwaway

examples/dict_to_flat.py

-# %%
-import numpy as np
-from codes.kwant_helper import utils
-from codes import kwant_examples
-
-# %%
-# Example hopping dictionary to use:
-graphene_builder, int_builder = kwant_examples.graphene_extended_hubbard()
-h_0 = utils.builder2h_0(graphene_builder)
-
-
-# %%
-def hop_dict_to_flat(hop_dict):
-    sorted_vals = np.array(list(hop_dict.values()))[
-        np.lexsort(np.array(list(hop_dict.keys())).T)
-    ]
-    flat = sorted_vals[..., *np.triu_indices(sorted_vals.shape[-1])].flatten()
-    return flat
-
-
-def flat_to_hop_dict(flat, shape, hop_dict_keys):
-
-    matrix = np.zeros(shape, dtype=complex)
-    matrix[..., *np.triu_indices(shape[-1])] = flat.reshape(*shape[:-2], -1)
-    indices = np.arange(shape[-1])
-    diagonal = matrix[..., indices, indices]
-    matrix += np.moveaxis(matrix[-1::-1], -1, -2).conj()
-    matrix[..., indices, indices] -= diagonal
-
-    hop_dict_keys = np.array(list(hop_dict_keys))
-    sorted_keys = hop_dict_keys[np.lexsort(hop_dict_keys.T)]
-    hop_dict = dict(zip(map(tuple, sorted_keys), matrix))
-    return hop_dict
-
-
-# %%
-flat = hop_dict_to_flat(h_0)
-shape = (len(h_0.keys()), *list(h_0.values())[0].shape)
-hop_dict = flat_to_hop_dict(flat, shape, h_0.keys())
-
-# %%