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args_data = [a.data for a in args_transposed]
if N_weights:
weights_data = args_data.pop()
else:
weights_data = None
if dim is not None:
dims_to_keep = [d for d in all_dims_ordered if d not in dim]
axis = [args_transposed[0].get_axis_num(d) for d in dim]
else:
dims_to_keep = []
axis = None
print(args_data[0].shape)
h_data = _histogram(*args_data, weights=weights_data, bins=bins, axis=axis,
block_size=block_size)
# create output dims
new_dims = [a.name + bin_dim_suffix for a in args[:N_args]]
output_dims = dims_to_keep + new_dims
# create new coords
bin_centers = [0.5*(bin[:-1] + bin[1:]) for bin in bins]
new_coords = {name: ((name,), bin_center, a.attrs)
for name, bin_center, a in zip(new_dims, bin_centers, args)}
old_coords = {name: a0[name]
for name in dims_to_keep if name in a0.coords}
all_coords = {}
all_coords.update(old_coords)
all_coords.update(new_coords)