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reproduction_effort/binning_aligned_process.py

@@ -49,8 +49,6 @@ test_overwrite_with_old_aligned: bool = True
 filename_data_binning_replace: str = "bin_old/Exp001_Trial001_Part001.mat"
 filename_data_aligned_replace: str = "aligned_old/Exp001_Trial001_Part001.mat"
 
-remove_heartbeat: bool = True
-
 data = torch.tensor(np.load(filename_raw).astype(np.float32), dtype=dtype)
 
 with open(filename_raw_json, "r") as file_handle:
@@ -121,7 +119,7 @@ if test_overwrite_with_old_aligned:
 
 # ->
 
-if remove_heartbeat:
+
 mask: torch.Tensor = make_mask(
     filename_mask=filename_mask,
     camera_sequence=camera_sequence,
@@ -182,15 +180,10 @@ if remove_heartbeat:
 
 donor_power_factor = heartbeat_coefficients[channels.index("donor")].clone()
 acceptor_power_factor = heartbeat_coefficients[channels.index("acceptor")].clone()
-    power_factors: None | list[torch.Tensor] = [
-        donor_power_factor,
-        acceptor_power_factor,
-    ]
+
 
 for i in range(0, len(camera_sequence)):
     camera_sequence[i] -= heartbeat_coefficients[i] * volume_heartbeat
-else:
-    power_factors = None
 # <-
 
 data_acceptor, data_donor, mask = preprocessing(
@@ -203,10 +196,8 @@ data_acceptor, data_donor, mask = preprocessing(
     temporal_width=temporal_width,
     target_camera=target_camera,
     regressor_cameras=regressor_cameras,
-    lower_frequency_heartbeat=lower_frequency_heartbeat,
-    upper_frequency_heartbeat=upper_frequency_heartbeat,
-    sample_frequency=sample_frequency,
-    power_factors=power_factors,
+    donor_correction_factor=donor_power_factor,
+    acceptor_correction_factor=acceptor_power_factor,
 )
 
 ratio_sequence: torch.Tensor = data_acceptor / data_donor

reproduction_effort/binning_aligned_process_classic.py

@@ -8,7 +8,7 @@ import scipy.io as sio  # type: ignore
 
 from functions.binning import binning
 from functions.align_cameras import align_cameras
-from functions.preprocessing import preprocessing
+from functions.preprocessing_classic import preprocessing
 from functions.bandpass import bandpass