88 lines
2.1 KiB
Python
88 lines
2.1 KiB
Python
import numpy as np
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import os
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import argh
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# mouse:int = 0, 1, 2, 3, 4
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def loader(mouse: int = 0, fpath: str = "/data_1/hendrik/gevi") -> None:
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mouse_name = [
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"M_Sert_Cre_41",
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"M_Sert_Cre_42",
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"M_Sert_Cre_45",
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"M_Sert_Cre_46",
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"M_Sert_Cre_49",
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]
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n_tris = [
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[
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15,
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15,
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30,
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30,
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30,
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30,
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], # 0 in cond 7
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[
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15,
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15,
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30,
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30,
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30,
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30,
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], # 0 in cond 7
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[
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15,
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15,
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30,
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30,
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30,
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30,
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], # 0 in cond 7
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[
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20,
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40,
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20,
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20,
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], # 0, 0, 0 in cond 5-7
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[
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20,
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40,
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20,
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20,
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], # 0, 0, 0 in cond 5-7
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]
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n_exp = len(n_tris[mouse])
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for i_exp in range(n_exp):
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n_tri = n_tris[mouse][i_exp]
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for i_tri in range(n_tri):
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experiment_name: str = f"Exp{i_exp + 1:03d}_Trial{i_tri + 1:03d}"
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tmp_fname = os.path.join(
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fpath,
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"output_" + mouse_name[mouse],
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experiment_name + "_acceptor_donor.npz",
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)
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print(f'Processing file "{tmp_fname}"...')
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tmp = np.load(tmp_fname)
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tmp_data_sequence = tmp["data_donor"]
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tmp_light_signal = tmp["data_acceptor"]
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if (i_exp == 0) and (i_tri == 0):
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mask = tmp["mask"]
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new_shape = [n_exp, *tmp_data_sequence.shape]
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data_sequence = np.zeros(new_shape)
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light_signal = np.zeros(new_shape)
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data_sequence[i_exp] += tmp_data_sequence / n_tri
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light_signal[i_exp] += tmp_light_signal / n_tri
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np.save("dsq_" + mouse_name[mouse], data_sequence)
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np.save("lsq_" + mouse_name[mouse], light_signal)
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np.save("msq_" + mouse_name[mouse], mask)
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if __name__ == "__main__":
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argh.dispatch_command(loader)
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