def flip_photons(
data: pd.DataFrame,
edges_of_lines_dim: np.array,
lines: np.array,
num_of_pixels: int,
):
"""
Receives {data} and flips every odd line by finding the mean time diff between the first 256 lines of {data},
and subtracting that mean from the odd lines.
"""
# add each photon bin in the lines dimension
idx = np.searchsorted(edges_of_lines_dim, data["abs_time"], side="right")
data["bin_of_dim0"] = idx - 1
mean_line_diff = lines.diff().iloc[:num_of_pixels].mean().astype(int)
odd_lines = data.loc[data["bin_of_dim0"] % 2 == 1, "time_rel_line"]
data.loc[data["bin_of_dim0"] % 2 == 1,
"time_rel_line"] = mean_line_diff - odd_lines
# clean up
data.drop(columns=["bin_of_dim0"])
return data
