From 7338ff33a27bcf0303b2fdc4ecdbeb7f5cd2f835 Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.fritz.box>
Date: Tue, 30 Jul 2024 19:13:50 +0200
Subject: [PATCH 1/8] some simulations

---
 pyrasa/irasa.py                               |   2 +-
 ...m__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy | Bin 0 -> 240128 bytes
 simulations/sim4tests/sim_knees.py            |  32 ++++++++++++++++++
 3 files changed, 33 insertions(+), 1 deletion(-)
 create mode 100644 simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
 create mode 100644 simulations/sim4tests/sim_knees.py

diff --git a/pyrasa/irasa.py b/pyrasa/irasa.py
index 6780d48..8109e2f 100644
--- a/pyrasa/irasa.py
+++ b/pyrasa/irasa.py
@@ -312,7 +312,7 @@ def irasa_sprint(  # noqa PLR0915 C901
         fs=fs,
         irasa_fun=_compute_sgramm,
         hset=hset,
-        irasa_kwargs=dict(irasa_kwargs),
+        irasa_kwargs=irasa_kwargs,
         time=time,
     )
 
diff --git a/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy b/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
new file mode 100644
index 0000000000000000000000000000000000000000..f4507be965dd6bad9267f9dafcaeb13938ced4ee
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diff --git a/simulations/sim4tests/sim_knees.py b/simulations/sim4tests/sim_knees.py
new file mode 100644
index 0000000..6e0beb0
--- /dev/null
+++ b/simulations/sim4tests/sim_knees.py
@@ -0,0 +1,32 @@
+#%%
+from neurodsp.sim import sim_combined, sim_knee
+import numpy as np
+from os.path import join
+
+n_secs=60
+fs_list=[500, 750, 1000]
+exp1=0
+exp2_list=[-1., -1.5, -2.0]
+knee_freq=[10, 15, 25]
+osc_list = [5, 10, 20]
+
+for fs in fs_list:
+    for exp2 in exp2_list:
+        for osc_freq in osc_list:
+            #% generate and save knee osc
+            knee = knee_freq ** np.abs(exp2)
+            components = {'sim_knee': {'exponent1': exp1, 'exponent2': exp2, 'knee': knee}, 
+                        'sim_oscillation': {'freq': osc_freq}
+                        }
+            cmb_sim = sim_combined(n_seconds=n_secs, fs=fs, components=components)
+
+            fname = f'cmb_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}__osc_freq_{osc_freq}_.npy'
+            np.save(join('knee_osc_data', fname), cmb_sim)
+
+            #% generate and save knee
+            knee_sim = sim_knee(n_seconds=n_secs, fs=fs, exponent1=exp1, exponent2=exp2, knee=knee)
+
+            fname = f'knee_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}_.npy'
+            np.save(join('knee_data', fname), knee_sim)
+
+# %%

From 03c0e6331bbec07ea9da05f7c7212f5b06f5b1ac Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.fritz.box>
Date: Tue, 30 Jul 2024 19:13:50 +0200
Subject: [PATCH 2/8] some simulations

---
 ...m__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy | Bin 0 -> 240128 bytes
 simulations/sim4tests/sim_knees.py            |  32 ++++++++++++++++++
 2 files changed, 32 insertions(+)
 create mode 100644 simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
 create mode 100644 simulations/sim4tests/sim_knees.py

diff --git a/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy b/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
new file mode 100644
index 0000000000000000000000000000000000000000..f4507be965dd6bad9267f9dafcaeb13938ced4ee
GIT binary patch
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HcmV?d00001

diff --git a/simulations/sim4tests/sim_knees.py b/simulations/sim4tests/sim_knees.py
new file mode 100644
index 0000000..6e0beb0
--- /dev/null
+++ b/simulations/sim4tests/sim_knees.py
@@ -0,0 +1,32 @@
+#%%
+from neurodsp.sim import sim_combined, sim_knee
+import numpy as np
+from os.path import join
+
+n_secs=60
+fs_list=[500, 750, 1000]
+exp1=0
+exp2_list=[-1., -1.5, -2.0]
+knee_freq=[10, 15, 25]
+osc_list = [5, 10, 20]
+
+for fs in fs_list:
+    for exp2 in exp2_list:
+        for osc_freq in osc_list:
+            #% generate and save knee osc
+            knee = knee_freq ** np.abs(exp2)
+            components = {'sim_knee': {'exponent1': exp1, 'exponent2': exp2, 'knee': knee}, 
+                        'sim_oscillation': {'freq': osc_freq}
+                        }
+            cmb_sim = sim_combined(n_seconds=n_secs, fs=fs, components=components)
+
+            fname = f'cmb_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}__osc_freq_{osc_freq}_.npy'
+            np.save(join('knee_osc_data', fname), cmb_sim)
+
+            #% generate and save knee
+            knee_sim = sim_knee(n_seconds=n_secs, fs=fs, exponent1=exp1, exponent2=exp2, knee=knee)
+
+            fname = f'knee_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}_.npy'
+            np.save(join('knee_data', fname), knee_sim)
+
+# %%

From 1584fc423355950e3591c3663ba417bb23a0068d Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.fritz.box>
Date: Tue, 30 Jul 2024 19:48:23 +0200
Subject: [PATCH 3/8] generated and added data to git_lfs

---
 .gitattributes                                |  2 ++
 simulations/sim4tests/sim_knees.py            | 29 ++++++++++---------
 ...__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy |  3 ++
 ...__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy |  3 ++
 ...__fs_1000__exp1_0__exp2_1.0_knee_25.0_.npy |  3 ++
 ..._fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy |  3 ++
 ...__fs_1000__exp1_0__exp2_1.5_knee_32.0_.npy |  3 ++
 ...__fs_1000__exp1_0__exp2_1.5_knee_58.0_.npy |  3 ++
 ..._fs_1000__exp1_0__exp2_2.0_knee_100.0_.npy |  3 ++
 ..._fs_1000__exp1_0__exp2_2.0_knee_225.0_.npy |  3 ++
 ..._fs_1000__exp1_0__exp2_2.0_knee_625.0_.npy |  3 ++
 ...m__fs_500__exp1_0__exp2_1.0_knee_10.0_.npy |  3 ++
 ...m__fs_500__exp1_0__exp2_1.0_knee_15.0_.npy |  3 ++
 ...m__fs_500__exp1_0__exp2_1.0_knee_25.0_.npy |  3 ++
 ...__fs_500__exp1_0__exp2_1.5_knee_125.0_.npy |  3 ++
 ...m__fs_500__exp1_0__exp2_1.5_knee_32.0_.npy |  3 ++
 ...m__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy |  3 ++
 ...__fs_500__exp1_0__exp2_2.0_knee_100.0_.npy |  3 ++
 ...__fs_500__exp1_0__exp2_2.0_knee_225.0_.npy |  3 ++
 ...__fs_500__exp1_0__exp2_2.0_knee_625.0_.npy |  3 ++
 ...m__fs_750__exp1_0__exp2_1.0_knee_10.0_.npy |  3 ++
 ...m__fs_750__exp1_0__exp2_1.0_knee_15.0_.npy |  3 ++
 ...m__fs_750__exp1_0__exp2_1.0_knee_25.0_.npy |  3 ++
 ...__fs_750__exp1_0__exp2_1.5_knee_125.0_.npy |  3 ++
 ...m__fs_750__exp1_0__exp2_1.5_knee_32.0_.npy |  3 ++
 ...m__fs_750__exp1_0__exp2_1.5_knee_58.0_.npy |  3 ++
 ...__fs_750__exp1_0__exp2_2.0_knee_100.0_.npy |  3 ++
 ...__fs_750__exp1_0__exp2_2.0_knee_225.0_.npy |  3 ++
 ...__fs_750__exp1_0__exp2_2.0_knee_625.0_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_10.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_15.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_25.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_125.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_100.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_225.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_10.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_15.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_25.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_125.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_100.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_225.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_10.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_10.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_15.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_15.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.0_knee_25.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.0_knee_25.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_1.5_knee_125.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_125.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_32.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_5_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_10_.npy |  3 ++
 ...p1_0__exp2_1.5_knee_58.0__osc_freq_20_.npy |  3 ++
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_100.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_100.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_225.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_225.0__osc_freq_5_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_10_.npy |  3 ++
 ...1_0__exp2_2.0_knee_625.0__osc_freq_20_.npy |  3 ++
 ...p1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy |  3 ++
 110 files changed, 342 insertions(+), 13 deletions(-)
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_25.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_32.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_58.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_2.0_knee_100.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_2.0_knee_225.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_2.0_knee_625.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.0_knee_10.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.0_knee_15.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.0_knee_25.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.5_knee_125.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.5_knee_32.0_.npy
 create mode 100644 tests/test_data/knee_data/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
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diff --git a/.gitattributes b/.gitattributes
index 07fe41c..cd5b36d 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -1,2 +1,4 @@
 # GitHub syntax highlighting
 pixi.lock linguist-language=YAML linguist-generated=true
+tests/test_data/knee_data/*.npy filter=lfs diff=lfs merge=lfs -text
+tests/test_data/knee_osc_data/*.npy filter=lfs diff=lfs merge=lfs -text
diff --git a/simulations/sim4tests/sim_knees.py b/simulations/sim4tests/sim_knees.py
index 6e0beb0..332d350 100644
--- a/simulations/sim4tests/sim_knees.py
+++ b/simulations/sim4tests/sim_knees.py
@@ -7,26 +7,29 @@
 fs_list=[500, 750, 1000]
 exp1=0
 exp2_list=[-1., -1.5, -2.0]
-knee_freq=[10, 15, 25]
+knee_freq_list=[10, 15, 25]
 osc_list = [5, 10, 20]
 
+base_folder = '/Users/fabian.schmidt/git/pyrasa/tests/test_data/'
+
 for fs in fs_list:
     for exp2 in exp2_list:
         for osc_freq in osc_list:
-            #% generate and save knee osc
-            knee = knee_freq ** np.abs(exp2)
-            components = {'sim_knee': {'exponent1': exp1, 'exponent2': exp2, 'knee': knee}, 
-                        'sim_oscillation': {'freq': osc_freq}
-                        }
-            cmb_sim = sim_combined(n_seconds=n_secs, fs=fs, components=components)
+            for knee_freq in knee_freq_list:
+                #% generate and save knee osc
+                knee = knee_freq ** np.abs(exp2)
+                components = {'sim_knee': {'exponent1': exp1, 'exponent2': exp2, 'knee': knee}, 
+                            'sim_oscillation': {'freq': osc_freq}
+                            }
+                cmb_sim = sim_combined(n_seconds=n_secs, fs=fs, components=components)
 
-            fname = f'cmb_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}__osc_freq_{osc_freq}_.npy'
-            np.save(join('knee_osc_data', fname), cmb_sim)
+                fname = f'cmb_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}__osc_freq_{osc_freq}_.npy'
+                np.save(join(base_folder + 'knee_osc_data', fname), cmb_sim)
 
-            #% generate and save knee
-            knee_sim = sim_knee(n_seconds=n_secs, fs=fs, exponent1=exp1, exponent2=exp2, knee=knee)
+                #% generate and save knee
+                knee_sim = sim_knee(n_seconds=n_secs, fs=fs, exponent1=exp1, exponent2=exp2, knee=knee)
 
-            fname = f'knee_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}_.npy'
-            np.save(join('knee_data', fname), knee_sim)
+                fname = f'knee_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}_.npy'
+                np.save(join(base_folder + 'knee_data', fname), knee_sim)
 
 # %%
diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy
new file mode 100644
index 0000000..d66d2c5
--- /dev/null
+++ b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy
@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:04f3890046308058979450689c4fd9dd684938d2d12772b1f4ff28b6c853e4e4
+size 480128
diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy
new file mode 100644
index 0000000..d0c4052
--- /dev/null
+++ b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy
@@ -0,0 +1,3 @@
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diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_25.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_25.0_.npy
new file mode 100644
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+++ b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_25.0_.npy
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diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy
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+++ b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy
@@ -0,0 +1,3 @@
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+++ b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_32.0_.npy
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diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_58.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.5_knee_58.0_.npy
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@@ -0,0 +1,3 @@
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new file mode 100644
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@@ -0,0 +1,3 @@
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new file mode 100644
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@@ -0,0 +1,3 @@
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From 44f3376ea2bbf9943c89bbfc9a276981a3f17a5e Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.fritz.box>
Date: Tue, 30 Jul 2024 22:41:50 +0200
Subject: [PATCH 4/8] knee testing improved

---
 tests/conftest.py        | 14 +++++++-
 tests/settings.py        | 16 +++++++--
 tests/test_irasa_knee.py | 72 ++++++++++++++++++++++++++++++++++++++++
 3 files changed, 99 insertions(+), 3 deletions(-)
 create mode 100644 tests/test_irasa_knee.py

diff --git a/tests/conftest.py b/tests/conftest.py
index 28c46ed..1c2f066 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -24,7 +24,19 @@ def fixed_aperiodic_signal(exponent, fs):
 
 @pytest.fixture(scope='session')
 def knee_aperiodic_signal(exponent, fs, knee_freq):
-    yield sim_knee(n_seconds=N_SECONDS, fs=fs, exponent1=0, exponent2=exponent, knee=knee_freq ** np.abs(exponent))
+    yield sim_knee(n_seconds=N_SECONDS, fs=fs, exponent1=0, exponent2=exponent, knee=knee_freq ** np.abs(exponent))  # noqa: E501
+
+
+@pytest.fixture(scope='session')
+def load_knee_aperiodic_signal(exponent, fs, knee):
+    base_dir = 'tests/test_data/knee_data/'
+    yield np.load(base_dir + f'knee_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}_.npy')
+
+
+@pytest.fixture(scope='session')
+def load_knee_cmb_signal(exponent, fs, knee, osc_freq):
+    base_dir = 'tests/test_data/knee_osc_data/'
+    yield np.load(base_dir + f'cmb_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}__osc_freq_{osc_freq}_.npy')  # noqa: E501
 
 
 @pytest.fixture(scope='session')
diff --git a/tests/settings.py b/tests/settings.py
index a29d159..c5ce829 100644
--- a/tests/settings.py
+++ b/tests/settings.py
@@ -6,9 +6,21 @@
 FS = [500, 750, 1000]
 OSC_FREQ = [5, 10, 20]
 MANY_OSC_FREQ = np.arange(2, 30, 1)
-EXPONENT = [-0.5, -1.0, -2.0]
+EXPONENT = [-1, -1.5, -2.0]
 KNEE_FREQ = 15
-TOLERANCE = 0.2
+EXP_KNEE_COMBO = [  # (1.0, 10.0), (1.0, 15.0), (1., 25.0),
+    # TODO: -> figure out why we get systemic knee errors when slope < 1
+    # My guess it has to do with this knee ** exp and knee ** (1/exp),
+    # where slight values below 1 result in weird knee freqs even if
+    # the gof and model looks objectively good (I checked this in my simulations).
+    (1.5, 125.0),
+    (1.5, 32.0),
+    (1.5, 58.0),
+    (2.0, 100.0),
+    (2.0, 225.0),
+    (2.0, 625.0),
+]
+TOLERANCE = 0.15
 KNEE_TOLERANCE = 3
 MIN_R2 = 0.8  # seems like a sensible minimum
 MIN_R2_SPRINT = 0.7
diff --git a/tests/test_irasa_knee.py b/tests/test_irasa_knee.py
new file mode 100644
index 0000000..121751e
--- /dev/null
+++ b/tests/test_irasa_knee.py
@@ -0,0 +1,72 @@
+import numpy as np
+import pytest
+import scipy.signal as dsp
+
+from pyrasa import irasa
+from pyrasa.utils.aperiodic_utils import compute_slope
+from pyrasa.utils.peak_utils import get_peak_params
+
+from .settings import EXP_KNEE_COMBO, FS, KNEE_TOLERANCE, MIN_CORR_PSD_CMB, OSC_FREQ, TOLERANCE
+
+# Estimate periodic and aperiodic components with IRASA
+# These tests should cover the basic functionality of the IRASA workflow
+
+
+# knee model
+@pytest.mark.parametrize('exponent, knee', EXP_KNEE_COMBO, scope='session')
+@pytest.mark.parametrize('fs', FS, scope='session')
+def test_irasa_knee_peakless(load_knee_aperiodic_signal, fs, exponent, knee):
+    f_range = [1, 100]
+    freqs_rasa, psd_ap, psd_pe = irasa(load_knee_aperiodic_signal, fs, f_range, psd_kwargs={'nperseg': 4 * fs})
+    # test the shape of the output
+    assert freqs_rasa.shape[0] == psd_ap.shape[1] == psd_pe.shape[1]
+    freqs_psd, psd = dsp.welch(load_knee_aperiodic_signal, fs, nperseg=int(4 * fs))
+    psd_cmb = psd_ap[0, :] + psd_pe[0, :]
+    freq_logical = np.logical_and(freqs_psd >= f_range[0], freqs_psd <= f_range[1])
+    r = np.corrcoef(psd[freq_logical], psd_cmb)[0, 1]
+    assert r > MIN_CORR_PSD_CMB
+    ap_params_k, gof_k = compute_slope(psd_ap, freqs_rasa, fit_func='knee')
+    ap_params_f, gof_f = compute_slope(psd_ap, freqs_rasa, fit_func='fixed')
+    # test whether we can get the first exponent correctly
+    assert bool(np.isclose(ap_params_k['Exponent_1'][0], 0, atol=TOLERANCE))
+    # test whether we can get the second exponent correctly
+    assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
+    # test whether we can get the knee correctly
+    knee_hat = ap_params_k['Knee'][0] ** (1 / ap_params_k['Exponent_2'][0])
+    knee_real = knee ** (1 / np.abs(exponent))
+    assert bool(np.isclose(knee_hat, knee_real, atol=KNEE_TOLERANCE))
+    # test bic/aic -> should be better for knee
+    assert gof_k['AIC'][0] < gof_f['AIC'][0]
+    assert gof_k['BIC'][0] < gof_f['BIC'][0]
+
+
+# knee model
+@pytest.mark.parametrize('exponent, knee', EXP_KNEE_COMBO, scope='session')
+@pytest.mark.parametrize('fs', FS, scope='session')
+@pytest.mark.parametrize('osc_freq', OSC_FREQ, scope='session')
+def test_irasa_knee_cmb(load_knee_cmb_signal, fs, exponent, knee, osc_freq):
+    f_range = [1, 100]
+    freqs_rasa, psd_ap, psd_pe = irasa(load_knee_cmb_signal, fs, f_range, psd_kwargs={'nperseg': 4 * fs})
+    # test the shape of the output
+    assert freqs_rasa.shape[0] == psd_ap.shape[1] == psd_pe.shape[1]
+    freqs_psd, psd = dsp.welch(load_knee_cmb_signal, fs, nperseg=int(4 * fs))
+    psd_cmb = psd_ap[0, :] + psd_pe[0, :]
+    freq_logical = np.logical_and(freqs_psd >= f_range[0], freqs_psd <= f_range[1])
+    r = np.corrcoef(psd[freq_logical], psd_cmb)[0, 1]
+    assert r > MIN_CORR_PSD_CMB
+    ap_params_k, gof_k = compute_slope(psd_ap, freqs_rasa, fit_func='knee')
+    ap_params_f, gof_f = compute_slope(psd_ap, freqs_rasa, fit_func='fixed')
+    # test whether we can get the first exponent correctly
+    assert bool(np.isclose(ap_params_k['Exponent_1'][0], 0, atol=TOLERANCE))
+    # test whether we can get the second exponent correctly
+    assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
+    # test whether we can get the knee correctly
+    knee_hat = ap_params_k['Knee'][0] ** (1 / ap_params_k['Exponent_2'][0])
+    knee_real = knee ** (1 / np.abs(exponent))
+    assert bool(np.isclose(knee_hat, knee_real, atol=KNEE_TOLERANCE))
+    # test bic/aic -> should be better for knee
+    assert gof_k['AIC'][0] < gof_f['AIC'][0]
+    assert gof_k['BIC'][0] < gof_f['BIC'][0]
+    # test whether we can reconstruct the peak frequency correctly
+    pe_params = get_peak_params(psd_pe, freqs_rasa)
+    assert bool(np.isclose(np.round(pe_params['cf'], 0), osc_freq))

From 9d483acbedd7deb8c59d37d71d67a0ff145bc975 Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.fritz.box>
Date: Tue, 30 Jul 2024 22:59:32 +0200
Subject: [PATCH 5/8] fixing numpy load issues

---
 tests/conftest.py | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/tests/conftest.py b/tests/conftest.py
index 1c2f066..414b149 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -30,13 +30,15 @@ def knee_aperiodic_signal(exponent, fs, knee_freq):
 @pytest.fixture(scope='session')
 def load_knee_aperiodic_signal(exponent, fs, knee):
     base_dir = 'tests/test_data/knee_data/'
-    yield np.load(base_dir + f'knee_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}_.npy')
+    yield np.load(base_dir + f'knee_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}_.npy', allow_pickle=True)
 
 
 @pytest.fixture(scope='session')
 def load_knee_cmb_signal(exponent, fs, knee, osc_freq):
     base_dir = 'tests/test_data/knee_osc_data/'
-    yield np.load(base_dir + f'cmb_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}__osc_freq_{osc_freq}_.npy')  # noqa: E501
+    yield np.load(
+        base_dir + f'cmb_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}__osc_freq_{osc_freq}_.npy', allow_pickle=True
+    )  # noqa: E501
 
 
 @pytest.fixture(scope='session')

From 67c02ae1a3bae0761c6d55356e7b342e191b223c Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.wlan.sbg.ac.at>
Date: Wed, 31 Jul 2024 09:49:59 +0200
Subject: [PATCH 6/8] fixing numpy.load issues in testing

---
 ...im__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy | Bin 240128 -> 0 bytes
 simulations/sim4tests/sim_knees.py             |   4 ++--
 tests/conftest.py                              |   9 ++++++---
 ...m__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy |   2 +-
 ...m__fs_1000__exp1_0__exp2_1.0_knee_15.0_.npy |   2 +-
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 ...__fs_1000__exp1_0__exp2_1.5_knee_125.0_.npy |   2 +-
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 ...m__fs_1000__exp1_0__exp2_1.5_knee_58.0_.npy |   2 +-
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 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_20_.npy |   2 +-
 ...exp1_0__exp2_1.5_knee_32.0__osc_freq_5_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_20_.npy |   2 +-
 ...exp1_0__exp2_1.5_knee_58.0__osc_freq_5_.npy |   2 +-
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 ...p1_0__exp2_2.0_knee_225.0__osc_freq_10_.npy |   2 +-
 ...p1_0__exp2_2.0_knee_225.0__osc_freq_20_.npy |   2 +-
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 ...p1_0__exp2_2.0_knee_625.0__osc_freq_20_.npy |   2 +-
 ...xp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy |   2 +-
 ...xp1_0__exp2_1.0_knee_10.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.0_knee_10.0__osc_freq_20_.npy |   2 +-
 ...exp1_0__exp2_1.0_knee_10.0__osc_freq_5_.npy |   2 +-
 ...xp1_0__exp2_1.0_knee_15.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.0_knee_15.0__osc_freq_20_.npy |   2 +-
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 ...xp1_0__exp2_1.0_knee_25.0__osc_freq_10_.npy |   2 +-
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 ...p1_0__exp2_1.5_knee_125.0__osc_freq_10_.npy |   2 +-
 ...p1_0__exp2_1.5_knee_125.0__osc_freq_20_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_125.0__osc_freq_5_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_32.0__osc_freq_20_.npy |   2 +-
 ...exp1_0__exp2_1.5_knee_32.0__osc_freq_5_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_10_.npy |   2 +-
 ...xp1_0__exp2_1.5_knee_58.0__osc_freq_20_.npy |   2 +-
 ...exp1_0__exp2_1.5_knee_58.0__osc_freq_5_.npy |   2 +-
 ...p1_0__exp2_2.0_knee_100.0__osc_freq_10_.npy |   2 +-
 ...p1_0__exp2_2.0_knee_100.0__osc_freq_20_.npy |   2 +-
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 ...p1_0__exp2_2.0_knee_225.0__osc_freq_10_.npy |   2 +-
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 ...xp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy |   2 +-
 111 files changed, 116 insertions(+), 113 deletions(-)
 delete mode 100644 simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy

diff --git a/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy b/simulations/sim4tests/knee_sim__fs_500__exp1_0__exp2_1.5_knee_58.0_.npy
deleted file mode 100644
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diff --git a/simulations/sim4tests/sim_knees.py b/simulations/sim4tests/sim_knees.py
index 332d350..29d6359 100644
--- a/simulations/sim4tests/sim_knees.py
+++ b/simulations/sim4tests/sim_knees.py
@@ -24,12 +24,12 @@
                 cmb_sim = sim_combined(n_seconds=n_secs, fs=fs, components=components)
 
                 fname = f'cmb_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}__osc_freq_{osc_freq}_.npy'
-                np.save(join(base_folder + 'knee_osc_data', fname), cmb_sim)
+                np.save(join(base_folder + 'knee_osc_data', fname), cmb_sim, allow_pickle=False)
 
                 #% generate and save knee
                 knee_sim = sim_knee(n_seconds=n_secs, fs=fs, exponent1=exp1, exponent2=exp2, knee=knee)
 
                 fname = f'knee_sim__fs_{fs}__exp1_{np.abs(exp1)}__exp2_{np.abs(exp2)}_knee_{np.round(knee, 0)}_.npy'
-                np.save(join(base_folder + 'knee_data', fname), knee_sim)
+                np.save(join(base_folder + 'knee_data', fname), knee_sim, allow_pickle=False)
 
 # %%
diff --git a/tests/conftest.py b/tests/conftest.py
index 414b149..f431cb9 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -30,15 +30,18 @@ def knee_aperiodic_signal(exponent, fs, knee_freq):
 @pytest.fixture(scope='session')
 def load_knee_aperiodic_signal(exponent, fs, knee):
     base_dir = 'tests/test_data/knee_data/'
-    yield np.load(base_dir + f'knee_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}_.npy', allow_pickle=True)
+    yield np.load(
+        base_dir + f'knee_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}_.npy',
+    )  # allow_pickle=True)
 
 
 @pytest.fixture(scope='session')
 def load_knee_cmb_signal(exponent, fs, knee, osc_freq):
     base_dir = 'tests/test_data/knee_osc_data/'
     yield np.load(
-        base_dir + f'cmb_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}__osc_freq_{osc_freq}_.npy', allow_pickle=True
-    )  # noqa: E501
+        base_dir + f'cmb_sim__fs_{fs}__exp1_0__exp2_{exponent}_knee_{knee}__osc_freq_{osc_freq}_.npy',
+    )  # allow_pickle=True)
+    # noqa: E501
 
 
 @pytest.fixture(scope='session')
diff --git a/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy b/tests/test_data/knee_data/knee_sim__fs_1000__exp1_0__exp2_1.0_knee_10.0_.npy
index d66d2c5..63b79d4 100644
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index d0c4052..47d6178 100644
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index bce14af..aab526b 100644
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+++ b/tests/test_data/knee_osc_data/cmb_sim__fs_750__exp1_0__exp2_2.0_knee_625.0__osc_freq_20_.npy
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7461618935a7e18101312fd72407d3f7ed16016724b8e88c141aed0446176763
+oid sha256:47af6f2b316e4c33e7aed77572bf0a0090554d951556e23ebda3c494e10bd53e
 size 360128
diff --git a/tests/test_data/knee_osc_data/cmb_sim__fs_750__exp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy b/tests/test_data/knee_osc_data/cmb_sim__fs_750__exp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy
index 518f6d6..d7ec17b 100644
--- a/tests/test_data/knee_osc_data/cmb_sim__fs_750__exp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy
+++ b/tests/test_data/knee_osc_data/cmb_sim__fs_750__exp1_0__exp2_2.0_knee_625.0__osc_freq_5_.npy
@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b7fa1fe0236dfffe2d5487dba2fa07578522615a0169af52591ae90725c8a2cc
+oid sha256:8a9b67b937b9812481f756e7d33da0c1304ebba589854ced10ce4c2f29b8655c
 size 360128

From 00142038a8019f5fe4221c042f777871750807da Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.wlan.sbg.ac.at>
Date: Wed, 31 Jul 2024 10:47:57 +0200
Subject: [PATCH 7/8] try again np.load

---
 pixi.lock                   |  2 +-
 tests/settings.py           | 19 ++++++++------
 tests/test_compute_slope.py | 49 ++++++++++++++-----------------------
 tests/test_irasa_knee.py    |  8 +++---
 4 files changed, 34 insertions(+), 44 deletions(-)

diff --git a/pixi.lock b/pixi.lock
index 1f007db..f9729fc 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -28539,7 +28539,7 @@ packages:
   name: pyrasa
   version: 0.1.0.dev0
   path: .
-  sha256: 4654050ff12a55c80a925ef9847396f3fc6b4ed766c259d48f724409bff7679f
+  sha256: be3bb8dc71703f61f5ebe96399791305ea95ca48b8f56dfdb4eb24655e185172
   requires_dist:
   - numpy
   - pandas
diff --git a/tests/settings.py b/tests/settings.py
index c5ce829..e6d9e30 100644
--- a/tests/settings.py
+++ b/tests/settings.py
@@ -8,20 +8,23 @@
 MANY_OSC_FREQ = np.arange(2, 30, 1)
 EXPONENT = [-1, -1.5, -2.0]
 KNEE_FREQ = 15
-EXP_KNEE_COMBO = [  # (1.0, 10.0), (1.0, 15.0), (1., 25.0),
-    # TODO: -> figure out why we get systemic knee errors when slope < 1
-    # My guess it has to do with this knee ** exp and knee ** (1/exp),
-    # where slight values below 1 result in weird knee freqs even if
-    # the gof and model looks objectively good (I checked this in my simulations).
+# There seems to be a higher error in knee fits for knee and exponent estimates when
+# the difference in pre and post knee exponent is low. This kinda makes sense
+# TODO: Test this systematically -> see whether this is an issue with irasa or slope fitting in general
+
+EXP_KNEE_COMBO = [
+    (1.0, 10.0),
+    (1.0, 15.0),
+    (1.0, 25.0),
     (1.5, 125.0),
     (1.5, 32.0),
     (1.5, 58.0),
     (2.0, 100.0),
     (2.0, 225.0),
     (2.0, 625.0),
-]
-TOLERANCE = 0.15
-KNEE_TOLERANCE = 3
+]  # we test exp + knee combined as both relate to each other
+TOLERANCE = 0.3  # 0.15
+KNEE_TOLERANCE = 5
 MIN_R2 = 0.8  # seems like a sensible minimum
 MIN_R2_SPRINT = 0.7
 MIN_CORR_PSD_CMB = 0.99
diff --git a/tests/test_compute_slope.py b/tests/test_compute_slope.py
index db0e4b1..02c3f3f 100644
--- a/tests/test_compute_slope.py
+++ b/tests/test_compute_slope.py
@@ -4,7 +4,7 @@
 
 from pyrasa.utils.aperiodic_utils import compute_slope
 
-from .settings import EXPONENT, FS, KNEE_FREQ, KNEE_TOLERANCE, MIN_R2, TOLERANCE
+from .settings import EXPONENT, FS, MIN_R2, TOLERANCE
 
 
 # Test slope fitting functionality
@@ -67,35 +67,22 @@ def test_slope_fitting_settings(
 
 
 # Takes too long need to pregenerate
-@pytest.mark.parametrize('exponent, fs, knee_freq', [(-1, 500, 15)], scope='session')
-def test_slope_fitting_knee(knee_aperiodic_signal, fs, exponent):
-    f_range = [1, 200]
-    # test whether recombining periodic and aperiodic spectrum is equivalent to the original spectrum
-    freqs, psd = dsp.welch(knee_aperiodic_signal, fs, nperseg=int(4 * fs))
-    freq_logical = np.logical_and(freqs >= f_range[0], freqs <= f_range[1])
-    freqs, psd = freqs[freq_logical], psd[freq_logical]
-    # test whether we can reconstruct the exponent correctly
-    ap_params_k, gof_k = compute_slope(psd, freqs, fit_func='knee')
-    ap_params_f, gof_f = compute_slope(psd, freqs, fit_func='fixed')
-    # assert pytest.approx(ap_params_k['Exponent_1'][0], abs=TOLERANCE) == 0
-    assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
-    assert bool(np.isclose(ap_params_k['Knee Frequency (Hz)'][0], KNEE_FREQ, atol=KNEE_TOLERANCE))
-    # test goodness of fit
-    assert gof_k['r_squared'][0] > MIN_R2
-    assert gof_k['r_squared'][0] > gof_f['r_squared'][0]  # r2 for knee model should be higher than knee if knee
-    # bic and aic for knee model should be better if knee
-    assert gof_k['AIC'][0] < gof_f['AIC'][0]
-    assert gof_k['BIC'][0] < gof_f['BIC'][0]
-
-
-# #pytest.mark.usefixtures(['exponent', 'fs'], [EXPONENT[0], FS[0]], scope='session')
-# @pytest.mark.parametrize('exponent', EXPONENT, scope='session')
-# @pytest.mark.parametrize('fs', FS, scope='session')
-# def test_slope_fitting_settings(fixed_aperiodic_signal, fs, exponent):
-#     f_range = [0, 100]
+# @pytest.mark.parametrize('exponent, fs, knee_freq', [(-1, 500, 15)], scope='session')
+# def test_slope_fitting_knee(knee_aperiodic_signal, fs, exponent):
+#     f_range = [1, 200]
 #     # test whether recombining periodic and aperiodic spectrum is equivalent to the original spectrum
-#     freqs, psd = dsp.welch(fixed_aperiodic_signal, 500, nperseg=int(4 * 500))
+#     freqs, psd = dsp.welch(knee_aperiodic_signal, fs, nperseg=int(4 * fs))
 #     freq_logical = np.logical_and(freqs >= f_range[0], freqs <= f_range[1])
-#     ap_params, gof = compute_slope(psd, freqs, fit_func='fixed')
-#     ap_params, gof = compute_slope(psd, freqs, fit_func='fixed', fit_bound=(0, 40))
-#     ap_params, gof = compute_slope(psd, freqs, fit_func='fixed', fit_bound=(-1, 500))
+#     freqs, psd = freqs[freq_logical], psd[freq_logical]
+#     # test whether we can reconstruct the exponent correctly
+#     ap_params_k, gof_k = compute_slope(psd, freqs, fit_func='knee')
+#     ap_params_f, gof_f = compute_slope(psd, freqs, fit_func='fixed')
+#     # assert pytest.approx(ap_params_k['Exponent_1'][0], abs=TOLERANCE) == 0
+#     assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
+#     assert bool(np.isclose(ap_params_k['Knee Frequency (Hz)'][0], KNEE_FREQ, atol=KNEE_TOLERANCE))
+#     # test goodness of fit
+#     assert gof_k['r_squared'][0] > MIN_R2
+#     assert gof_k['r_squared'][0] > gof_f['r_squared'][0]  # r2 for knee model should be higher than knee if knee
+#     # bic and aic for knee model should be better if knee
+#     assert gof_k['AIC'][0] < gof_f['AIC'][0]
+#     assert gof_k['BIC'][0] < gof_f['BIC'][0]
diff --git a/tests/test_irasa_knee.py b/tests/test_irasa_knee.py
index 121751e..90c24ea 100644
--- a/tests/test_irasa_knee.py
+++ b/tests/test_irasa_knee.py
@@ -16,7 +16,7 @@
 @pytest.mark.parametrize('exponent, knee', EXP_KNEE_COMBO, scope='session')
 @pytest.mark.parametrize('fs', FS, scope='session')
 def test_irasa_knee_peakless(load_knee_aperiodic_signal, fs, exponent, knee):
-    f_range = [1, 100]
+    f_range = [0.1, 100]
     freqs_rasa, psd_ap, psd_pe = irasa(load_knee_aperiodic_signal, fs, f_range, psd_kwargs={'nperseg': 4 * fs})
     # test the shape of the output
     assert freqs_rasa.shape[0] == psd_ap.shape[1] == psd_pe.shape[1]
@@ -32,7 +32,7 @@ def test_irasa_knee_peakless(load_knee_aperiodic_signal, fs, exponent, knee):
     # test whether we can get the second exponent correctly
     assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
     # test whether we can get the knee correctly
-    knee_hat = ap_params_k['Knee'][0] ** (1 / ap_params_k['Exponent_2'][0])
+    knee_hat = ap_params_k['Knee'][0] ** (1 / (2 * ap_params_k['Exponent_1'][0] + ap_params_k['Exponent_2'][0]))
     knee_real = knee ** (1 / np.abs(exponent))
     assert bool(np.isclose(knee_hat, knee_real, atol=KNEE_TOLERANCE))
     # test bic/aic -> should be better for knee
@@ -45,7 +45,7 @@ def test_irasa_knee_peakless(load_knee_aperiodic_signal, fs, exponent, knee):
 @pytest.mark.parametrize('fs', FS, scope='session')
 @pytest.mark.parametrize('osc_freq', OSC_FREQ, scope='session')
 def test_irasa_knee_cmb(load_knee_cmb_signal, fs, exponent, knee, osc_freq):
-    f_range = [1, 100]
+    f_range = [0.1, 100]
     freqs_rasa, psd_ap, psd_pe = irasa(load_knee_cmb_signal, fs, f_range, psd_kwargs={'nperseg': 4 * fs})
     # test the shape of the output
     assert freqs_rasa.shape[0] == psd_ap.shape[1] == psd_pe.shape[1]
@@ -61,7 +61,7 @@ def test_irasa_knee_cmb(load_knee_cmb_signal, fs, exponent, knee, osc_freq):
     # test whether we can get the second exponent correctly
     assert bool(np.isclose(ap_params_k['Exponent_2'][0], np.abs(exponent), atol=TOLERANCE))
     # test whether we can get the knee correctly
-    knee_hat = ap_params_k['Knee'][0] ** (1 / ap_params_k['Exponent_2'][0])
+    knee_hat = ap_params_k['Knee'][0] ** (1 / (2 * ap_params_k['Exponent_1'][0] + ap_params_k['Exponent_2'][0]))
     knee_real = knee ** (1 / np.abs(exponent))
     assert bool(np.isclose(knee_hat, knee_real, atol=KNEE_TOLERANCE))
     # test bic/aic -> should be better for knee

From 97d10c6d3825994d8b30ea673d57a270e43aca45 Mon Sep 17 00:00:00 2001
From: Schmidt Fabian <fabian.schmidt@psy25331.wlan.sbg.ac.at>
Date: Wed, 31 Jul 2024 11:07:09 +0200
Subject: [PATCH 8/8] simplified mne testing

---
 tests/conftest.py | 22 +++-------------------
 tests/test_mne.py | 18 +++++++-----------
 2 files changed, 10 insertions(+), 30 deletions(-)

diff --git a/tests/conftest.py b/tests/conftest.py
index f431cb9..80a1df9 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -83,20 +83,8 @@ def gen_mne_data_raw():
 
     meg_path = data_path / 'MEG' / 'sample'
     raw_fname = meg_path / 'sample_audvis_raw.fif'
-
-    raw = mne.io.read_raw_fif(raw_fname)
-    picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, exclude='bads')
-    raw.pick(picks)
-
-    yield raw
-
-
-@pytest.fixture(scope='session')
-def gen_mne_data_epoched():
-    data_path = sample.data_path()
-
-    meg_path = data_path / 'MEG' / 'sample'
-    raw_fname = meg_path / 'sample_audvis_raw.fif'
+    event_fname = meg_path / 'sample_audvis_filt-0-40_raw-eve.fif'
+    events = mne.read_events(event_fname)
 
     raw = mne.io.read_raw_fif(raw_fname)
     picks = mne.pick_types(raw.info, meg='mag', eeg=False, stim=False, eog=False, exclude='bads')
@@ -113,19 +101,15 @@ def gen_mne_data_epoched():
     tmax = 0.5
 
     # Load real data as the template
-    event_fname = meg_path / 'sample_audvis_filt-0-40_raw-eve.fif'
-    events = mne.read_events(event_fname)
-
     epochs = mne.Epochs(
         raw,
         events,
         event_id,
         tmin,
         tmax,
-        # picks=picks,
         baseline=None,
         preload=True,
         verbose=False,
     )
 
-    yield epochs
+    yield raw, epochs
diff --git a/tests/test_mne.py b/tests/test_mne.py
index d8508da..aad426c 100644
--- a/tests/test_mne.py
+++ b/tests/test_mne.py
@@ -8,21 +8,17 @@
 
 @pytest.mark.filterwarnings('ignore:RuntimeWarning')
 @pytest.mark.filterwarnings('ignore:UserWarning')
-def test_mne_raw(gen_mne_data_raw):
+def test_mne(gen_mne_data_raw):
+    mne_data, epochs = gen_mne_data_raw
+
+    # test raw
     aperiodic_mne, periodic_mne = irasa_raw(
-        gen_mne_data_raw, band=(0.25, 50), duration=2, hset_info=(1.0, 2.0, 0.05), as_array=False
+        mne_data, band=(0.25, 50), duration=2, hset_info=(1.0, 2.0, 0.05), as_array=False
     )
     aperiodic_mne.get_slopes(fit_func='fixed')
-    # aperiodic_mne.get_slopes(fit_func='knee', scale=True)
     periodic_mne.get_peaks(smoothing_window=2)
 
-
-@pytest.mark.filterwarnings('ignore:RuntimeWarning')
-@pytest.mark.filterwarnings('ignore:UserWarning')
-def test_mne_epoched(gen_mne_data_epoched):
-    aperiodic, periodic = irasa_epochs(gen_mne_data_epoched, band=(0.5, 50), hset_info=(1.0, 2.0, 0.05), as_array=False)
-
-    # aperiodic.get_slopes(fit_func='knee', scale=True)
+    # test epochs
+    aperiodic, periodic = irasa_epochs(epochs, band=(0.5, 50), hset_info=(1.0, 2.0, 0.05), as_array=False)
     aperiodic.get_slopes(fit_func='fixed', scale=True)
-
     periodic.get_peaks(smoothing_window=2)