diff --git a/orcasong/file_to_hits.py b/orcasong/file_to_hits.py
index 4cd53c40fb01ccc6c7d1cc283ecb9151e2c47ac9..47a6f5c5b3abf16b30417992340b247fd4f76dff 100644
--- a/orcasong/file_to_hits.py
+++ b/orcasong/file_to_hits.py
@@ -135,17 +135,15 @@ def get_tracks(event_blob, file_particle_type, event_hits, prod_ident):
"""
# parse EventInfo and Header information
event_id = event_blob['EventInfo'].event_id[0]
- run_id = event_blob['Header'].start_run.run_id.astype('float32')
-
- # if 'Header' in event_blob: # if Header exists in file, take run_id from it.
- # run_id = event_blob['Header'].start_run.run_id.astype('float32')
- # else:
- # if file_particle_type == 'muon':
- # run_id = event_blob['RawHeader'][1][0].astype('float32')
- # elif file_particle_type == 'undefined': # currently used with random_noise files
- # run_id = event_blob['EventInfo'].run_id
- # else:
- # run_id = event_blob['RawHeader'][0][0].astype('float32')
+
+ if 'Header' in event_blob: # if Header exists in file, take run_id from it.
+ run_id = event_blob['Header'].start_run.run_id.astype('float32')
+ else:
+ if file_particle_type == 'undefined': # currently used with random_noise files
+ run_id = event_blob['EventInfo'].run_id
+ else:
+ raise InputError('The run_id could not be read from the EventInfo or the Header, '
+ 'please check the source code in get_tracks().')
# collect all event_track information, dependent on file_particle_type
@@ -191,15 +189,6 @@ def get_tracks(event_blob, file_particle_type, event_hits, prod_ident):
hits_time, triggered = event_hits[:, 3], event_hits[:, 4]
time_residual_vertex = get_time_residual_nu_interaction_mean_triggered_hits(time_interaction, hits_time, triggered)
- if event_id == 12627:
- print(time_interaction)
- hits_time_triggered = hits_time[triggered == 1]
- print(hits_time_triggered)
- t_mean_triggered = np.mean(hits_time_triggered, dtype=np.float64)
- print(t_mean_triggered)
- time_residual_vertex = t_mean_triggered - time_interaction
- print(time_residual_vertex)
-
track = {'event_id': event_id, 'particle_type': particle_type, 'energy': energy, 'is_cc': is_cc,
'bjorkeny': bjorkeny, 'dir_x': dir_x, 'dir_y': dir_y, 'dir_z': dir_z,
'time_interaction': time_interaction, 'run_id': run_id, 'vertex_pos_x': vertex_pos_x,
diff --git a/orcasong/tests/generator_speed_test_w_compression/evaluate_generator_IO_speed.py b/orcasong/tests/generator_speed_test_w_compression/evaluate_generator_IO_speed.py
deleted file mode 100644
index 4cfbfef0b43e1d0a3484eca23aea777087a30c52..0000000000000000000000000000000000000000
--- a/orcasong/tests/generator_speed_test_w_compression/evaluate_generator_IO_speed.py
+++ /dev/null
@@ -1,80 +0,0 @@
-#!/usr/bin/env python
-# -*- coding: utf-8 -*-
-"""Placeholder"""
-
-import numpy as np
-import h5py
-import timeit
-import cProfile
-
-def generate_batches_from_hdf5_file():
-
- #filepath = './JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yz_NO_COMPRESSION_NOT_CHUNKED.h5' #2D, no compression
- #filepath = './JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yz_LZF_CHUNKED.h5' #2D, LZF
-
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_NO_COMPRESSION_NOT_CHUNKED.h5' #3D, no compression
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_NO_COMPRESSION_CHUNKED.h5' #3D, no compression, chunked
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_LARGE_NO_COMPRESSION_CHUNKED.h5' #3D, no compression, chunked, LARGE
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_LZF_CHUNKED.h5' #3D, LZF
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_LZF_LARGE.h5' #3D, LZF, LARGE, Shuffle True
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_LZF_SHUFFLETRUE.h5' #3D, LZF, Shuffle=True
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_GZIP_COMPROPT_1.h5' #3D, GZIP
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_456_yzt_GZIP_COMPROPT_1_CHUNKSIZE_16.h5' #3D, GZIP, chunksize=16
-
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_yzt_no_compression.h5' #3D, no compression
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_yzt_gzip_1.h5' # 3D, gzip, compression_opts=1
-
-
- # 4d
- filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_no_compression_chunked.h5' # 4D, (11x13x18x50)), no compression. chunksize=32 --> 1011 ms
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_lzf.h5' # 4D, (11x13x18x50), lzf --> 2194 ms
- #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_gzip_1.h5' # 4D, (11x13x18x50), gzip, compression_opts=1 --> 1655 ms
-
-
- #print 'Testing generator on file ' + filepath
- #batchsize = 16
- batchsize = 32
-
- #dimensions = (batchsize, 13, 18, 1) # 2D
- #dimensions = (batchsize, 13, 18, 50, 1) # 3D
- dimensions = (batchsize, 11, 13, 18, 50) # 4D
-
- f = h5py.File(filepath, "r")
- filesize = len(f['y'])
- print(filesize)
-
- n_entries = 0
- while n_entries < (filesize - batchsize):
- xs = f['x'][n_entries : n_entries + batchsize]
- xs = np.reshape(xs, dimensions).astype(np.float32)
-
- y_values = f['y'][n_entries:n_entries+batchsize]
- y_values = np.reshape(y_values, (batchsize, y_values.shape[1]))
- ys = np.zeros((batchsize, 2), dtype=np.float32)
-
- for c, y_val in enumerate(y_values):
- ys[c] = y_val[0:2] # just for testing
-
- n_entries += batchsize
- #print n_entries
- yield (xs, ys)
- f.close()
-
-
-number = 20
-#t = timeit.timeit(generate_batches_from_hdf5_file, number = number)
-#t = timeit.Timer(stmt="list(generate_batches_from_hdf5_file())", setup="from __main__ import generate_batches_from_hdf5_file")
-#print t.timeit(number) / number
-#print str(number) + 'loops, on average ' + str(t.timeit(number) / number *1000) + 'ms'
-
-pr = cProfile.Profile()
-pr.enable()
-
-t = timeit.Timer(stmt="list(generate_batches_from_hdf5_file())", setup="from __main__ import generate_batches_from_hdf5_file")
-print(str(number) + 'loops, on average ' + str(t.timeit(number) / number *1000) + 'ms')
-
-pr.disable()
-
-pr.print_stats(sort='time')
-
-# TODO check with blosc
\ No newline at end of file
diff --git a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-c.toml b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-c.toml
index c6dc7b5accf742281c095c7e5ecd9ed5fe438ebd..afe026df86dfd4f61af38b4745a825f9d13e7082 100644
--- a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-c.toml
+++ b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-c.toml
@@ -36,7 +36,7 @@
--timecut_mode = 'trigger_cluster'
--timecut_timespan = 'tight-0'
--prod_ident = 3 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
---o = '/home/woody/capn/mppi033h/orcasong_output'
+--o = '/home/woody/capn/mppi033h'
--chunksize = 32
--complib = 'zlib'
---complevel = '1'
\ No newline at end of file
+--complevel = 1
\ No newline at end of file
diff --git a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-t.toml b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-t.toml
index 1d6b6fbffe178bd8054597c9dbc32d1f430f67ff..cc7a7761c0a0d4754c9c6420d5306d222bd708c6 100644
--- a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-t.toml
+++ b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-t.toml
@@ -36,7 +36,7 @@
--timecut_mode = 'trigger_cluster'
--timecut_timespan = 'tight-0'
--prod_ident = 3 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
---o = '/home/woody/capn/mppi033h/orcasong_output'
+--o = '/home/woody/capn/mppi033h'
--chunksize = 32
--complib = 'zlib'
---complevel = '1'
\ No newline at end of file
+--complevel = 1
\ No newline at end of file
diff --git a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-c.toml b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-c.toml
index 2f070c2699e446712b4fb59de2c290cd1efffd92..79d51c18c6401c5c39b7adb750647203ffca6570 100644
--- a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-c.toml
+++ b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-c.toml
@@ -1,8 +1,11 @@
-# A config file for OrcaSong with multiple configurations.
-# Outcomment the config that you want to use!
+# A config file for OrcaSong with a list of all configuration options.
# More info about the .toml format at https://github.com/toml-lang/toml
### All available options with some dummy values
+# --o = '/home/woody/capn/mppi033h/orcasong_output'
+# --chunksize = 32
+# --complib = 'zlib'
+# --complevel = '1'
# --n_bins = '11,13,18,60'
# --det_geo = 'Orca_115l_23m_h_9m_v'
# --do2d = false
@@ -32,4 +35,8 @@
--do4d_mode = 'channel_id'
--timecut_mode = 'trigger_cluster'
--timecut_timespan = 'tight-0'
---prod_ident = 4 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
\ No newline at end of file
+--prod_ident = 4 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
+--o = '/home/woody/capn/mppi033h'
+--chunksize = 32
+--complib = 'zlib'
+--complevel = 1
\ No newline at end of file
diff --git a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-t.toml b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-t.toml
index 9a0940d46cfaaec585e9b3b4c633e7c47153b3a5..812a39baeb7db72d35a96be2e48ab49b94a9f508 100644
--- a/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-t.toml
+++ b/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-t.toml
@@ -1,8 +1,11 @@
-# A config file for OrcaSong with multiple configurations.
-# Outcomment the config that you want to use!
+# A config file for OrcaSong with a list of all configuration options.
# More info about the .toml format at https://github.com/toml-lang/toml
### All available options with some dummy values
+# --o = '/home/woody/capn/mppi033h/orcasong_output'
+# --chunksize = 32
+# --complib = 'zlib'
+# --complevel = '1'
# --n_bins = '11,13,18,60'
# --det_geo = 'Orca_115l_23m_h_9m_v'
# --do2d = false
@@ -32,4 +35,8 @@
--do4d_mode = 'time'
--timecut_mode = 'trigger_cluster'
--timecut_timespan = 'tight-0'
---prod_ident = 4 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
\ No newline at end of file
+--prod_ident = 4 # for neutrinos: 1: 3-100 GeV prod, 2: 1-5 GeV prod ; mupage: 3 ; random_noise: 4
+--o = '/home/woody/capn/mppi033h'
+--chunksize = 32
+--complib = 'zlib'
+--complevel = 1
\ No newline at end of file
diff --git a/orcasong/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx b/user/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
similarity index 100%
rename from orcasong/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
rename to user/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
diff --git a/user/job_submission_scripts/submit_data_to_images.sh b/user/job_submission_scripts/submit_data_to_images.sh
index b246b7deb5e06217f6d8d7a11bfbe450f3a7fe00..a4ea8636ce0dd97aeb308f9a27af4bae76ce8983 100644
--- a/user/job_submission_scripts/submit_data_to_images.sh
+++ b/user/job_submission_scripts/submit_data_to_images.sh
@@ -1,7 +1,7 @@
#!/bin/bash
#
-#PBS -l nodes=1:ppn=4:sl32g,walltime=06:00:00
-#PBS -o /home/woody/capn/mppi033h/logs/submit_data_to_images_${PBS_JOBID}_${PBS_ARRAYID}.out -e /home/woody/capn/mppi033h/logs/submit_data_to_images_${PBS_JOBID}_${PBS_ARRAYID}.err
+#PBS -l nodes=1:ppn=4:sl32g,walltime=15:00:00
+#PBS -o /home/woody/capn/mppi033h/logs/orcasong_submit_data_to_images_${PBS_JOBID}_${PBS_ARRAYID}.out -e /home/woody/capn/mppi033h/logs/orcasong/submit_data_to_images_${PBS_JOBID}_${PBS_ARRAYID}.err
# first non-empty non-comment line ends PBS options
# Submit with 'qsub -t 1-10 submit_data_to_images.sh'
@@ -20,18 +20,18 @@
# load env, only working for conda env as of now
python_env_folder=/home/hpc/capn/mppi033h/.virtualenv/python_3_env/
-code_folder=/home/woody/capn/mppi033h/Code/OrcaSong
+job_logs_folder=/home/woody/capn/mppi033h/logs/orcasong/cout
-detx_filepath=${code_folder}/orcasong/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
-config_file=${code_folder}/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_random_noise_xyz-c.toml
+detx_filepath=/home/woody/capn/mppi033h/Code/OrcaSong/user/detx_files/orca_115strings_av23min20mhorizontal_18OMs_alt9mvertical_v1.detx
+config_file=/home/woody/capn/mppi033h/Code/OrcaSong/user/config/orca_115l_mupage_rn_neutr_classifier/conf_ORCA_115l_mupage_xyz-c.toml
-particle_type=random_noise
-mc_prod=random_noise
+particle_type=mupage
+mc_prod=mupage
# total number of files per job, e.g. 10 jobs for 600: 600/10 = 60. For neutrin
# For neutrinos and random_noise n=60 with PBS -l nodes=1:ppn=4:sl32g,walltime=3:00:00
# For mupage: n=1000 with PBS -l nodes=1:ppn=4:sl32g,walltime=15:00:00
-files_per_job=50
+files_per_job=1000
#--- USER INPUT ---#
@@ -39,7 +39,6 @@ files_per_job=50
n=${PBS_ARRAYID}
source activate ${python_env_folder}
-cd ${code_folder}
declare -A filename_arr
declare -A folder_ip_files_arr
@@ -83,10 +82,10 @@ do
thread3=$((${file_no_loop_start} + 2))
thread4=$((${file_no_loop_start} + 3))
- (time taskset -c 0 python ${code_folder}/orcasong/data_to_images.py -c ${config_file} ${folder}/${filename}.${thread1}.h5 ${detx_filepath} > ${code_folder}/user/job_logs/cout/${filename}.${thread1}.txt) &
- (time taskset -c 1 python ${code_folder}/orcasong/data_to_images.py -c ${config_file} ${folder}/${filename}.${thread2}.h5 ${detx_filepath} > ${code_folder}/user/job_logs/cout/${filename}.${thread2}.txt) &
- (time taskset -c 2 python ${code_folder}/orcasong/data_to_images.py -c ${config_file} ${folder}/${filename}.${thread3}.h5 ${detx_filepath} > ${code_folder}/user/job_logs/cout/${filename}.${thread3}.txt) &
- (time taskset -c 3 python ${code_folder}/orcasong/data_to_images.py -c ${config_file} ${folder}/${filename}.${thread4}.h5 ${detx_filepath} > ${code_folder}/user/job_logs/cout/${filename}.${thread4}.txt) &
+ (time taskset -c 0 make_nn_images -c ${config_file} ${folder}/${filename}.${thread1}.h5 ${detx_filepath} > ${job_logs_folder}/${filename}.${thread1}.txt) &
+ (time taskset -c 1 make_nn_images -c ${config_file} ${folder}/${filename}.${thread2}.h5 ${detx_filepath} > ${job_logs_folder}/${filename}.${thread2}.txt) &
+ (time taskset -c 2 make_nn_images -c ${config_file} ${folder}/${filename}.${thread3}.h5 ${detx_filepath} > ${job_logs_folder}/${filename}.${thread3}.txt) &
+ (time taskset -c 3 make_nn_images -c ${config_file} ${folder}/${filename}.${thread4}.h5 ${detx_filepath} > ${job_logs_folder}/${filename}.${thread4}.txt) &
wait
done
diff --git a/orcasong/tests/timecut_test/__init__.py b/utilities/__init__.py
similarity index 100%
rename from orcasong/tests/timecut_test/__init__.py
rename to utilities/__init__.py
diff --git a/utilities/evaluate_generator_IO_speed.py b/utilities/evaluate_generator_IO_speed.py
new file mode 100644
index 0000000000000000000000000000000000000000..5c9859bec981598e41e484264237ed7d5d54e5d3
--- /dev/null
+++ b/utilities/evaluate_generator_IO_speed.py
@@ -0,0 +1,54 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-
+"""Code for testing the readout speed of orcasong .hdf5 files."""
+
+import numpy as np
+import h5py
+import timeit
+import cProfile
+
+def generate_batches_from_hdf5_file():
+ # 4d
+ #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_no_compression_chunked.h5' # 4D, (11x13x18x50)), no compression. chunksize=32 --> 1011 ms
+ #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_lzf.h5' # 4D, (11x13x18x50), lzf --> 2194 ms
+ #filepath = 'JTE_KM3Sim_gseagen_muon-CC_3-100GeV-9_1E7-1bin-3_0gspec_ORCA115_9m_2016_9_xyzt_gzip_1.h5' # 4D, (11x13x18x50), gzip, compression_opts=1 --> 1655 ms
+
+ # With new km3pipe structure
+ filepath = '/home/woody/capn/mppi033h/orcasong_output/4dTo4d/xyzc/JTE_ph_ph_mupage_ph_ph_ph_ORCA115_9m_2016_9_xyzc.h5'
+
+ print('Testing generator on file ' + filepath)
+ batchsize = 32
+ dimensions = (batchsize, 11, 13, 18, 31) # 4D
+
+ f = h5py.File(filepath, "r")
+ filesize = len(f['y'])
+ print(filesize)
+
+ n_entries = 0
+ while n_entries < (filesize - batchsize):
+ xs = f['x'][n_entries : n_entries + batchsize]
+ xs = np.reshape(xs, dimensions).astype(np.float32)
+
+ y_values = f['y'][n_entries:n_entries+batchsize]
+ ys = y_values[['run_id', 'event_id']]
+
+ n_entries += batchsize
+ yield (xs, ys)
+ f.close()
+
+
+number = 20
+#t = timeit.timeit(generate_batches_from_hdf5_file, number = number)
+#t = timeit.Timer(stmt="list(generate_batches_from_hdf5_file())", setup="from __main__ import generate_batches_from_hdf5_file")
+#print t.timeit(number) / number
+#print str(number) + 'loops, on average ' + str(t.timeit(number) / number *1000) + 'ms'
+
+pr = cProfile.Profile()
+pr.enable()
+
+t = timeit.Timer(stmt="list(generate_batches_from_hdf5_file())", setup="from __main__ import generate_batches_from_hdf5_file")
+print(str(number) + 'loops, on average ' + str(t.timeit(number) / number *1000) + 'ms')
+
+pr.disable()
+
+pr.print_stats(sort='time')
\ No newline at end of file
diff --git a/utilities/timecut_test/__init__.py b/utilities/timecut_test/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/orcasong/tests/timecut_test/plots/elec-CC/.gitkeep b/utilities/timecut_test/plots/elec-CC/.gitkeep
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rename from orcasong/tests/timecut_test/plots/elec-CC/.gitkeep
rename to utilities/timecut_test/plots/elec-CC/.gitkeep
diff --git a/orcasong/tests/timecut_test/plots/muon-CC/.gitkeep b/utilities/timecut_test/plots/muon-CC/.gitkeep
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rename from orcasong/tests/timecut_test/plots/muon-CC/.gitkeep
rename to utilities/timecut_test/plots/muon-CC/.gitkeep
diff --git a/orcasong/tests/timecut_test/plots/mupage/.gitkeep b/utilities/timecut_test/plots/mupage/.gitkeep
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rename from orcasong/tests/timecut_test/plots/mupage/.gitkeep
rename to utilities/timecut_test/plots/mupage/.gitkeep
diff --git a/orcasong/tests/timecut_test/plots/random_noise/.gitkeep b/utilities/timecut_test/plots/random_noise/.gitkeep
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rename from orcasong/tests/timecut_test/plots/random_noise/.gitkeep
rename to utilities/timecut_test/plots/random_noise/.gitkeep
diff --git a/orcasong/tests/timecut_test/plots/tau-CC/.gitkeep b/utilities/timecut_test/plots/tau-CC/.gitkeep
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rename from orcasong/tests/timecut_test/plots/tau-CC/.gitkeep
rename to utilities/timecut_test/plots/tau-CC/.gitkeep
diff --git a/orcasong/tests/timecut_test/timecut_test.py b/utilities/timecut_test/timecut_test.py
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rename from orcasong/tests/timecut_test/timecut_test.py
rename to utilities/timecut_test/timecut_test.py