From 593084cce9ac78a6fd155a7473b035f31c7fecc1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 15:26:21 -0400
Subject: [PATCH 01/22] Removing output PNG from version control.

---
 notebooks/thesis/duration_distribution.png | Bin 11071 -> 0 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)
 delete mode 100644 notebooks/thesis/duration_distribution.png

diff --git a/notebooks/thesis/duration_distribution.png b/notebooks/thesis/duration_distribution.png
deleted file mode 100644
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From 0094e8aafa3c879e5f1c1b2c81355ccd947a0496 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 16:33:34 -0400
Subject: [PATCH 02/22] Modifying sonifyencoding.

---
 misc/sonifyencoding.py | 14 ++++++++++++--
 1 file changed, 12 insertions(+), 2 deletions(-)

diff --git a/misc/sonifyencoding.py b/misc/sonifyencoding.py
index e146f572..20e49c80 100644
--- a/misc/sonifyencoding.py
+++ b/misc/sonifyencoding.py
@@ -2,8 +2,18 @@
 import argparse
 from AugmentedNet.score_parser import parseScore
 
+noteoctaves = {
+    "C": 4,
+    "E": 4,
+    "G": 4,
+    "B": 4,
+    "D": 5,
+    "F": 5,
+    "A": 5,
+}
+
 if __name__ == "__main__":
-    f = "/mnt/c/Users/nesto/OneDrive/Desktop/langscoreonly-encoding.mxl"
+    f = "/mnt/d/thesis_figures/claraschumann.mxl"
     parser = argparse.ArgumentParser()
     parser.add_argument(
         "input_musicxml", help="An input file to encode/sonify."
@@ -14,7 +24,7 @@
     chromaPart = music21.stream.Part()
     for n in df.s_notes:
         bass = f"{n[0][:-1]}3"
-        chroma = list(dict.fromkeys([f"{x[:-1]}4" for x in n]))
+        chroma = list(dict.fromkeys([f"{x[:-1]}{noteoctaves[x[0]]}" for x in n]))
         bassPart.append(music21.note.Note(bass, quarterLength=0.125))
         chromaPart.append(music21.chord.Chord(chroma, quarterLength=0.125))
         print(bass, chroma)

From a6119f64b444b7d9cd6fdd8510e3ebbd14140fa1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 16:33:53 -0400
Subject: [PATCH 03/22] Modifying notebook.

---
 .../thesis/Ch5-DurationDistribution.ipynb     | 649 ++++++++++--------
 1 file changed, 344 insertions(+), 305 deletions(-)

diff --git a/notebooks/thesis/Ch5-DurationDistribution.ipynb b/notebooks/thesis/Ch5-DurationDistribution.ipynb
index 607f6c2d..2c520e78 100644
--- a/notebooks/thesis/Ch5-DurationDistribution.ipynb
+++ b/notebooks/thesis/Ch5-DurationDistribution.ipynb
@@ -16,7 +16,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "/home/napulen/AugmentedNet-Copy\n"
+      "/home/napulen/AugmentedNet\n"
      ]
     }
    ],
@@ -26,7 +26,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,36 +66,6 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "dataset/training/bps-02-op002-no2-1.tsv\n",
-      "dataset/training/bps-03-op002-no3-1.tsv\n",
-      "dataset/training/bps-04-op007-1.tsv\n",
-      "dataset/training/bps-05-op010-no1-1.tsv\n",
-      "dataset/training/bps-09-op014-no1-1.tsv\n",
-      "dataset/training/bps-11-op022-1.tsv\n",
-      "dataset/training/bps-12-op026-1.tsv\n",
-      "dataset/training/bps-13-op027-no1-1.tsv\n",
-      "dataset/training/bps-17-op031-no2-1.tsv\n",
-      "dataset/training/bps-18-op031-no3-1.tsv\n",
-      "dataset/training/bps-21-op053-1.tsv\n",
-      "dataset/training/bps-22-op054-1.tsv\n",
-      "dataset/training/bps-24-op078-1.tsv\n",
-      "dataset/training/bps-27-op090-1.tsv\n",
-      "dataset/training/bps-28-op101-1.tsv\n",
-      "dataset/training/bps-30-op109-1.tsv\n",
-      "dataset/training/bps-31-op110-1.tsv\n",
-      "dataset/training/bps-32-op111-1.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-1.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-2.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-4.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-5.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-6.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-10.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-13.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-14.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-19.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-20.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-21.tsv\n",
-      "dataset/training/wirwtc-bach-wtc-i-23.tsv\n",
       "dataset/training/abc-op131-3.tsv\n",
       "dataset/training/abc-op95-4.tsv\n",
       "dataset/training/abc-op132-2.tsv\n",
@@ -146,6 +116,78 @@
       "dataset/training/abc-op132-3.tsv\n",
       "dataset/training/abc-op130-3.tsv\n",
       "dataset/training/abc-op131-5.tsv\n",
+      "dataset/training/bps-02-op002-no2-1.tsv\n",
+      "dataset/training/bps-03-op002-no3-1.tsv\n",
+      "dataset/training/bps-04-op007-1.tsv\n",
+      "dataset/training/bps-05-op010-no1-1.tsv\n",
+      "dataset/training/bps-09-op014-no1-1.tsv\n",
+      "dataset/training/bps-11-op022-1.tsv\n",
+      "dataset/training/bps-12-op026-1.tsv\n",
+      "dataset/training/bps-13-op027-no1-1.tsv\n",
+      "dataset/training/bps-17-op031-no2-1.tsv\n",
+      "dataset/training/bps-18-op031-no3-1.tsv\n",
+      "dataset/training/bps-21-op053-1.tsv\n",
+      "dataset/training/bps-22-op054-1.tsv\n",
+      "dataset/training/bps-24-op078-1.tsv\n",
+      "dataset/training/bps-27-op090-1.tsv\n",
+      "dataset/training/bps-28-op101-1.tsv\n",
+      "dataset/training/bps-30-op109-1.tsv\n",
+      "dataset/training/bps-31-op110-1.tsv\n",
+      "dataset/training/bps-32-op111-1.tsv\n",
+      "dataset/training/haydnop20-no6-3.tsv\n",
+      "dataset/training/haydnop20-no1-1.tsv\n",
+      "dataset/training/haydnop20-no4-1.tsv\n",
+      "dataset/training/haydnop20-no4-3.tsv\n",
+      "dataset/training/haydnop20-no1-3.tsv\n",
+      "dataset/training/haydnop20-no6-2.tsv\n",
+      "dataset/training/haydnop20-no3-1.tsv\n",
+      "dataset/training/haydnop20-no5-1.tsv\n",
+      "dataset/training/haydnop20-no1-4.tsv\n",
+      "dataset/training/haydnop20-no2-3.tsv\n",
+      "dataset/training/haydnop20-no5-4.tsv\n",
+      "dataset/training/haydnop20-no3-2.tsv\n",
+      "dataset/training/haydnop20-no4-4.tsv\n",
+      "dataset/training/haydnop20-no2-1.tsv\n",
+      "dataset/training/haydnop20-no4-2.tsv\n",
+      "dataset/training/haydnop20-no6-1.tsv\n",
+      "dataset/training/mps-k279-2.tsv\n",
+      "dataset/training/mps-k280-1.tsv\n",
+      "dataset/training/mps-k280-2.tsv\n",
+      "dataset/training/mps-k280-3.tsv\n",
+      "dataset/training/mps-k281-1.tsv\n",
+      "dataset/training/mps-k281-2.tsv\n",
+      "dataset/training/mps-k281-3.tsv\n",
+      "dataset/training/mps-k282-1.tsv\n",
+      "dataset/training/mps-k282-2.tsv\n",
+      "dataset/training/mps-k283-1.tsv\n",
+      "dataset/training/mps-k283-2.tsv\n",
+      "dataset/training/mps-k283-3.tsv\n",
+      "dataset/training/mps-k284-3.tsv\n",
+      "dataset/training/mps-k309-3.tsv\n",
+      "dataset/training/mps-k310-2.tsv\n",
+      "dataset/training/mps-k310-3.tsv\n",
+      "dataset/training/mps-k311-1.tsv\n",
+      "dataset/training/mps-k311-2.tsv\n",
+      "dataset/training/mps-k311-3.tsv\n",
+      "dataset/training/mps-k330-1.tsv\n",
+      "dataset/training/mps-k330-2.tsv\n",
+      "dataset/training/mps-k331-1.tsv\n",
+      "dataset/training/mps-k331-2.tsv\n",
+      "dataset/training/mps-k331-3.tsv\n",
+      "dataset/training/mps-k332-1.tsv\n",
+      "dataset/training/mps-k332-3.tsv\n",
+      "dataset/training/mps-k333-1.tsv\n",
+      "dataset/training/mps-k333-2.tsv\n",
+      "dataset/training/mps-k333-3.tsv\n",
+      "dataset/training/mps-k457-1.tsv\n",
+      "dataset/training/mps-k533-1.tsv\n",
+      "dataset/training/mps-k533-2.tsv\n",
+      "dataset/training/mps-k533-3.tsv\n",
+      "dataset/training/mps-k570-1.tsv\n",
+      "dataset/training/mps-k570-2.tsv\n",
+      "dataset/training/mps-k570-3.tsv\n",
+      "dataset/training/mps-k576-2.tsv\n",
+      "dataset/training/mps-k576-3.tsv\n",
       "dataset/training/tavern-mozart-k353-a.tsv\n",
       "dataset/training/tavern-mozart-k353-b.tsv\n",
       "dataset/training/tavern-mozart-k265-a.tsv\n",
@@ -184,22 +226,6 @@
       "dataset/training/tavern-mozart-k354-b.tsv\n",
       "dataset/training/tavern-beethoven-woo-71-a.tsv\n",
       "dataset/training/tavern-beethoven-woo-71-b.tsv\n",
-      "dataset/training/haydnop20-no6-3.tsv\n",
-      "dataset/training/haydnop20-no1-1.tsv\n",
-      "dataset/training/haydnop20-no4-1.tsv\n",
-      "dataset/training/haydnop20-no4-3.tsv\n",
-      "dataset/training/haydnop20-no1-3.tsv\n",
-      "dataset/training/haydnop20-no6-2.tsv\n",
-      "dataset/training/haydnop20-no3-1.tsv\n",
-      "dataset/training/haydnop20-no5-1.tsv\n",
-      "dataset/training/haydnop20-no1-4.tsv\n",
-      "dataset/training/haydnop20-no2-3.tsv\n",
-      "dataset/training/haydnop20-no5-4.tsv\n",
-      "dataset/training/haydnop20-no3-2.tsv\n",
-      "dataset/training/haydnop20-no4-4.tsv\n",
-      "dataset/training/haydnop20-no2-1.tsv\n",
-      "dataset/training/haydnop20-no4-2.tsv\n",
-      "dataset/training/haydnop20-no6-1.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer.tsv\n",
@@ -306,7 +332,19 @@
       "dataset/training/wir-variations-and-grounds-bach-b-minor-mass-bwv232-crucifixus.tsv\n",
       "dataset/training/wir-variations-and-grounds-purcell-sonata-z807.tsv\n",
       "dataset/training/wir-variations-and-grounds-purcell-chacony-z730.tsv\n",
-      "dataset/training/wir-orchestral-haydn-symphony-104-1.tsv\n"
+      "dataset/training/wir-orchestral-haydn-symphony-104-1.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-1.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-2.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-4.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-5.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-6.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-10.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-13.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-14.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-19.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-20.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-21.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-23.tsv\n"
      ]
     }
    ],
@@ -375,123 +413,123 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>0.000</td>\n",
-       "      <td>0.500</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>['A3', 'A4', 'A5']</td>\n",
-       "      <td>['P1', 'P1']</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.00</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>['B3', 'D4', 'F#4']</td>\n",
+       "      <td>['m3', 'P5']</td>\n",
        "      <td>[True, True, True]</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>2.0</td>\n",
        "      <td>0.0</td>\n",
-       "      <td>0.5</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>I</td>\n",
+       "      <td>i</td>\n",
        "      <td>...</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
        "      <td>1</td>\n",
        "      <td>None</td>\n",
        "      <td>False</td>\n",
-       "      <td>['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', ...</td>\n",
+       "      <td>['B', 'D', 'F#', 'B', 'D', 'F#', 'B', 'D', 'F#...</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.67</td>\n",
-       "      <td>0.44</td>\n",
        "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>0.500</td>\n",
-       "      <td>1.000</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>1.00</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>['E3', 'E4', 'E5']</td>\n",
-       "      <td>['P1', 'P1']</td>\n",
-       "      <td>[True, True, True]</td>\n",
+       "      <td>['A#3', 'C#4', 'F#4', 'C#5']</td>\n",
+       "      <td>['m3', 'm6', 'm3']</td>\n",
+       "      <td>[True, True, True, True]</td>\n",
        "      <td>1.0</td>\n",
        "      <td>2.0</td>\n",
        "      <td>1.0</td>\n",
-       "      <td>I</td>\n",
+       "      <td>V</td>\n",
        "      <td>...</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
-       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
        "      <td>False</td>\n",
-       "      <td>['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.33</td>\n",
-       "      <td>0.18</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.00</td>\n",
+       "      <td>0.00</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>2.000</td>\n",
-       "      <td>0.125</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>['E3', 'E4']</td>\n",
-       "      <td>['P1']</td>\n",
-       "      <td>[True, True]</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>4.50</td>\n",
+       "      <td>0.25</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>I</td>\n",
+       "      <td>['F#4']</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[True]</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>V</td>\n",
        "      <td>...</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
-       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
        "      <td>False</td>\n",
-       "      <td>['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.33</td>\n",
-       "      <td>0.18</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.88</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>2.125</td>\n",
-       "      <td>0.125</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>['D3', 'D4']</td>\n",
-       "      <td>['P1']</td>\n",
-       "      <td>[True, True]</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>4.75</td>\n",
+       "      <td>0.25</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>I</td>\n",
+       "      <td>['G#4']</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[True]</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>V</td>\n",
        "      <td>...</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
-       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
        "      <td>False</td>\n",
-       "      <td>['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.33</td>\n",
-       "      <td>0.18</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.88</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>2.250</td>\n",
-       "      <td>0.125</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>['C#3', 'C#4']</td>\n",
-       "      <td>['P1']</td>\n",
-       "      <td>[True, True]</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>5.00</td>\n",
+       "      <td>0.50</td>\n",
        "      <td>2.0</td>\n",
-       "      <td>1.0</td>\n",
-       "      <td>I</td>\n",
+       "      <td>['A#4']</td>\n",
+       "      <td>[]</td>\n",
+       "      <td>[True]</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>V</td>\n",
        "      <td>...</td>\n",
-       "      <td>A</td>\n",
-       "      <td>A</td>\n",
-       "      <td>1</td>\n",
+       "      <td>b</td>\n",
+       "      <td>b</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
        "      <td>False</td>\n",
-       "      <td>['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...</td>\n",
-       "      <td>0.09</td>\n",
-       "      <td>0.33</td>\n",
-       "      <td>0.18</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...</td>\n",
+       "      <td>0.21</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>0.05</td>\n",
+       "      <td>0.88</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -518,223 +556,223 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225458</th>\n",
-       "      <td>1167.000</td>\n",
-       "      <td>0.500</td>\n",
-       "      <td>292.0</td>\n",
-       "      <td>['D2', 'F#4', 'F#5']</td>\n",
-       "      <td>['M3', 'M3']</td>\n",
-       "      <td>[True, True, True]</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>448.0</td>\n",
-       "      <td>I</td>\n",
+       "      <th>266511</th>\n",
+       "      <td>73.00</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>['F#2', 'E3', 'C#4', 'A#4']</td>\n",
+       "      <td>['m7', 'P5', 'M3']</td>\n",
+       "      <td>[False, True, False, True]</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>V7</td>\n",
        "      <td>...</td>\n",
-       "      <td>D</td>\n",
-       "      <td>D</td>\n",
-       "      <td>1</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
-       "      <td>True</td>\n",
-       "      <td>['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...</td>\n",
-       "      <td>0.00</td>\n",
+       "      <td>False</td>\n",
+       "      <td>['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225459</th>\n",
-       "      <td>1167.500</td>\n",
-       "      <td>0.500</td>\n",
-       "      <td>292.0</td>\n",
-       "      <td>['D3', 'F#4', 'F#5']</td>\n",
-       "      <td>['M3', 'M3']</td>\n",
-       "      <td>[True, False, False]</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>448.0</td>\n",
-       "      <td>I</td>\n",
+       "      <th>266512</th>\n",
+       "      <td>73.25</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>['F#2', 'C#3', 'C#4', 'A#4']</td>\n",
+       "      <td>['P5', 'P5', 'M3']</td>\n",
+       "      <td>[False, True, False, False]</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>V7</td>\n",
        "      <td>...</td>\n",
-       "      <td>D</td>\n",
-       "      <td>D</td>\n",
-       "      <td>1</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
-       "      <td>True</td>\n",
-       "      <td>['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...</td>\n",
-       "      <td>0.00</td>\n",
+       "      <td>False</td>\n",
+       "      <td>['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225460</th>\n",
-       "      <td>1168.000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>293.0</td>\n",
-       "      <td>['D2', 'D3', 'D4', 'D5']</td>\n",
-       "      <td>['P1', 'P1', 'P1']</td>\n",
-       "      <td>[True, True, True, True]</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>448.0</td>\n",
-       "      <td>I</td>\n",
+       "      <th>266513</th>\n",
+       "      <td>73.50</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>['F#2', 'D#3', 'C#4', 'A#4']</td>\n",
+       "      <td>['M6', 'P5', 'M3']</td>\n",
+       "      <td>[False, True, False, False]</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>V7</td>\n",
        "      <td>...</td>\n",
-       "      <td>D</td>\n",
-       "      <td>D</td>\n",
-       "      <td>1</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
-       "      <td>True</td>\n",
-       "      <td>['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...</td>\n",
-       "      <td>0.00</td>\n",
+       "      <td>False</td>\n",
+       "      <td>['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225461</th>\n",
-       "      <td>1170.000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>293.0</td>\n",
-       "      <td>['D2', 'D3', 'D4', 'D5']</td>\n",
-       "      <td>['P1', 'P1', 'P1']</td>\n",
-       "      <td>[True, True, True, True]</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>448.0</td>\n",
-       "      <td>I</td>\n",
+       "      <th>266514</th>\n",
+       "      <td>73.75</td>\n",
+       "      <td>0.25</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>['F#2', 'E3', 'C#4', 'A#4']</td>\n",
+       "      <td>['m7', 'P5', 'M3']</td>\n",
+       "      <td>[False, True, False, False]</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>65.0</td>\n",
+       "      <td>V7</td>\n",
        "      <td>...</td>\n",
-       "      <td>D</td>\n",
-       "      <td>D</td>\n",
-       "      <td>1</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
+       "      <td>5</td>\n",
        "      <td>None</td>\n",
-       "      <td>True</td>\n",
-       "      <td>['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...</td>\n",
-       "      <td>0.00</td>\n",
+       "      <td>False</td>\n",
+       "      <td>['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...</td>\n",
+       "      <td>0.06</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>225462</th>\n",
-       "      <td>1172.000</td>\n",
-       "      <td>2.000</td>\n",
-       "      <td>294.0</td>\n",
-       "      <td>['D2', 'D3', 'D4', 'D5']</td>\n",
-       "      <td>['P1', 'P1', 'P1']</td>\n",
-       "      <td>[True, True, True, True]</td>\n",
-       "      <td>290.0</td>\n",
-       "      <td>4.0</td>\n",
-       "      <td>448.0</td>\n",
+       "      <th>266515</th>\n",
+       "      <td>74.00</td>\n",
+       "      <td>2.00</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>['B2', 'D#3', 'B3', 'F#4', 'B4']</td>\n",
+       "      <td>['M3', 'P1', 'P5', 'P1']</td>\n",
+       "      <td>[True, True, True, True, True]</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>66.0</td>\n",
        "      <td>I</td>\n",
        "      <td>...</td>\n",
-       "      <td>D</td>\n",
-       "      <td>D</td>\n",
+       "      <td>B</td>\n",
+       "      <td>B</td>\n",
        "      <td>1</td>\n",
        "      <td>None</td>\n",
-       "      <td>True</td>\n",
-       "      <td>['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>['B', 'D#', 'B', 'F#', 'B', 'B', 'D#', 'B', 'F...</td>\n",
        "      <td>0.00</td>\n",
+       "      <td>0.0</td>\n",
        "      <td>0.00</td>\n",
        "      <td>0.00</td>\n",
-       "      <td>0.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>225463 rows × 30 columns</p>\n",
+       "<p>266516 rows × 30 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "        j_offset  s_duration  s_measure                   s_notes  \\\n",
-       "0          0.000       0.500        0.0        ['A3', 'A4', 'A5']   \n",
-       "1          0.500       1.000        1.0        ['E3', 'E4', 'E5']   \n",
-       "2          2.000       0.125        1.0              ['E3', 'E4']   \n",
-       "3          2.125       0.125        1.0              ['D3', 'D4']   \n",
-       "4          2.250       0.125        1.0            ['C#3', 'C#4']   \n",
-       "...          ...         ...        ...                       ...   \n",
-       "225458  1167.000       0.500      292.0      ['D2', 'F#4', 'F#5']   \n",
-       "225459  1167.500       0.500      292.0      ['D3', 'F#4', 'F#5']   \n",
-       "225460  1168.000       2.000      293.0  ['D2', 'D3', 'D4', 'D5']   \n",
-       "225461  1170.000       2.000      293.0  ['D2', 'D3', 'D4', 'D5']   \n",
-       "225462  1172.000       2.000      294.0  ['D2', 'D3', 'D4', 'D5']   \n",
+       "        j_offset  s_duration  s_measure                           s_notes  \\\n",
+       "0           1.00        1.00        1.0               ['B3', 'D4', 'F#4']   \n",
+       "1           2.00        1.00        1.0      ['A#3', 'C#4', 'F#4', 'C#5']   \n",
+       "2           4.50        0.25        2.0                           ['F#4']   \n",
+       "3           4.75        0.25        2.0                           ['G#4']   \n",
+       "4           5.00        0.50        2.0                           ['A#4']   \n",
+       "...          ...         ...        ...                               ...   \n",
+       "266511     73.00        0.25       19.0       ['F#2', 'E3', 'C#4', 'A#4']   \n",
+       "266512     73.25        0.25       19.0      ['F#2', 'C#3', 'C#4', 'A#4']   \n",
+       "266513     73.50        0.25       19.0      ['F#2', 'D#3', 'C#4', 'A#4']   \n",
+       "266514     73.75        0.25       19.0       ['F#2', 'E3', 'C#4', 'A#4']   \n",
+       "266515     74.00        2.00       19.0  ['B2', 'D#3', 'B3', 'F#4', 'B4']   \n",
        "\n",
-       "               s_intervals                 s_isOnset  a_measure  a_duration  \\\n",
-       "0             ['P1', 'P1']        [True, True, True]        0.0         0.5   \n",
-       "1             ['P1', 'P1']        [True, True, True]        1.0         2.0   \n",
-       "2                   ['P1']              [True, True]        1.0         2.0   \n",
-       "3                   ['P1']              [True, True]        1.0         2.0   \n",
-       "4                   ['P1']              [True, True]        1.0         2.0   \n",
-       "...                    ...                       ...        ...         ...   \n",
-       "225458        ['M3', 'M3']        [True, True, True]      290.0         4.0   \n",
-       "225459        ['M3', 'M3']      [True, False, False]      290.0         4.0   \n",
-       "225460  ['P1', 'P1', 'P1']  [True, True, True, True]      290.0         4.0   \n",
-       "225461  ['P1', 'P1', 'P1']  [True, True, True, True]      290.0         4.0   \n",
-       "225462  ['P1', 'P1', 'P1']  [True, True, True, True]      290.0         4.0   \n",
+       "                     s_intervals                       s_isOnset  a_measure  \\\n",
+       "0                   ['m3', 'P5']              [True, True, True]        1.0   \n",
+       "1             ['m3', 'm6', 'm3']        [True, True, True, True]        1.0   \n",
+       "2                             []                          [True]        2.0   \n",
+       "3                             []                          [True]        2.0   \n",
+       "4                             []                          [True]        2.0   \n",
+       "...                          ...                             ...        ...   \n",
+       "266511        ['m7', 'P5', 'M3']      [False, True, False, True]       19.0   \n",
+       "266512        ['P5', 'P5', 'M3']     [False, True, False, False]       19.0   \n",
+       "266513        ['M6', 'P5', 'M3']     [False, True, False, False]       19.0   \n",
+       "266514        ['m7', 'P5', 'M3']     [False, True, False, False]       19.0   \n",
+       "266515  ['M3', 'P1', 'P5', 'P1']  [True, True, True, True, True]       19.0   \n",
        "\n",
-       "        a_annotationNumber a_romanNumeral  ...  a_localKey a_tonicizedKey  \\\n",
-       "0                      0.0              I  ...           A              A   \n",
-       "1                      1.0              I  ...           A              A   \n",
-       "2                      1.0              I  ...           A              A   \n",
-       "3                      1.0              I  ...           A              A   \n",
-       "4                      1.0              I  ...           A              A   \n",
-       "...                    ...            ...  ...         ...            ...   \n",
-       "225458               448.0              I  ...           D              D   \n",
-       "225459               448.0              I  ...           D              D   \n",
-       "225460               448.0              I  ...           D              D   \n",
-       "225461               448.0              I  ...           D              D   \n",
-       "225462               448.0              I  ...           D              D   \n",
+       "        a_duration  a_annotationNumber a_romanNumeral  ...  a_localKey  \\\n",
+       "0              2.0                 0.0              i  ...           b   \n",
+       "1              2.0                 1.0              V  ...           b   \n",
+       "2              2.0                 2.0              V  ...           b   \n",
+       "3              2.0                 2.0              V  ...           b   \n",
+       "4              2.0                 2.0              V  ...           b   \n",
+       "...            ...                 ...            ...  ...         ...   \n",
+       "266511         1.0                65.0             V7  ...           B   \n",
+       "266512         1.0                65.0             V7  ...           B   \n",
+       "266513         1.0                65.0             V7  ...           B   \n",
+       "266514         1.0                65.0             V7  ...           B   \n",
+       "266515         2.0                66.0              I  ...           B   \n",
        "\n",
-       "       a_degree1 a_degree2 measureMisalignment  \\\n",
-       "0              1      None               False   \n",
-       "1              1      None               False   \n",
-       "2              1      None               False   \n",
-       "3              1      None               False   \n",
-       "4              1      None               False   \n",
-       "...          ...       ...                 ...   \n",
-       "225458         1      None                True   \n",
-       "225459         1      None                True   \n",
-       "225460         1      None                True   \n",
-       "225461         1      None                True   \n",
-       "225462         1      None                True   \n",
+       "       a_tonicizedKey a_degree1 a_degree2 measureMisalignment  \\\n",
+       "0                   b         1      None               False   \n",
+       "1                   b         5      None               False   \n",
+       "2                   b         5      None               False   \n",
+       "3                   b         5      None               False   \n",
+       "4                   b         5      None               False   \n",
+       "...               ...       ...       ...                 ...   \n",
+       "266511              B         5      None               False   \n",
+       "266512              B         5      None               False   \n",
+       "266513              B         5      None               False   \n",
+       "266514              B         5      None               False   \n",
+       "266515              B         1      None               False   \n",
        "\n",
        "                                        qualityScoreNotes  \\\n",
-       "0       ['A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', 'A', ...   \n",
-       "1       ['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...   \n",
-       "2       ['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...   \n",
-       "3       ['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...   \n",
-       "4       ['E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', 'E', ...   \n",
+       "0       ['B', 'D', 'F#', 'B', 'D', 'F#', 'B', 'D', 'F#...   \n",
+       "1       ['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...   \n",
+       "2       ['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...   \n",
+       "3       ['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...   \n",
+       "4       ['A#', 'C#', 'F#', 'C#', 'A#', 'C#', 'F#', 'C#...   \n",
        "...                                                   ...   \n",
-       "225458  ['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...   \n",
-       "225459  ['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...   \n",
-       "225460  ['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...   \n",
-       "225461  ['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...   \n",
-       "225462  ['D', 'D', 'F#', 'A', 'D', 'D', 'D', 'F#', 'A'...   \n",
+       "266511  ['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...   \n",
+       "266512  ['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...   \n",
+       "266513  ['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...   \n",
+       "266514  ['F#', 'E', 'C#', 'A#', 'F#', 'E', 'C#', 'A#',...   \n",
+       "266515  ['B', 'D#', 'B', 'F#', 'B', 'B', 'D#', 'B', 'F...   \n",
        "\n",
        "       qualityNonChordTones  qualityMissingChordTones qualitySquaredSum  \\\n",
-       "0                      0.00                      0.67              0.44   \n",
-       "1                      0.09                      0.33              0.18   \n",
-       "2                      0.09                      0.33              0.18   \n",
-       "3                      0.09                      0.33              0.18   \n",
-       "4                      0.09                      0.33              0.18   \n",
+       "0                      0.00                       0.0              0.00   \n",
+       "1                      0.00                       0.0              0.00   \n",
+       "2                      0.21                       0.0              0.05   \n",
+       "3                      0.21                       0.0              0.05   \n",
+       "4                      0.21                       0.0              0.05   \n",
        "...                     ...                       ...               ...   \n",
-       "225458                 0.00                      0.00              0.00   \n",
-       "225459                 0.00                      0.00              0.00   \n",
-       "225460                 0.00                      0.00              0.00   \n",
-       "225461                 0.00                      0.00              0.00   \n",
-       "225462                 0.00                      0.00              0.00   \n",
+       "266511                 0.06                       0.0              0.00   \n",
+       "266512                 0.06                       0.0              0.00   \n",
+       "266513                 0.06                       0.0              0.00   \n",
+       "266514                 0.06                       0.0              0.00   \n",
+       "266515                 0.00                       0.0              0.00   \n",
        "\n",
        "       incongruentBass  \n",
-       "0                  0.0  \n",
-       "1                  1.0  \n",
-       "2                  1.0  \n",
-       "3                  1.0  \n",
-       "4                  1.0  \n",
+       "0                 0.00  \n",
+       "1                 0.00  \n",
+       "2                 0.88  \n",
+       "3                 0.88  \n",
+       "4                 0.88  \n",
        "...                ...  \n",
-       "225458             0.0  \n",
-       "225459             0.0  \n",
-       "225460             0.0  \n",
-       "225461             0.0  \n",
-       "225462             0.0  \n",
+       "266511            0.00  \n",
+       "266512            0.00  \n",
+       "266513            0.00  \n",
+       "266514            0.00  \n",
+       "266515            0.00  \n",
        "\n",
-       "[225463 rows x 30 columns]"
+       "[266516 rows x 30 columns]"
       ]
      },
      "execution_count": 6,
@@ -748,7 +786,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -757,20 +795,18 @@
        "<AxesSubplot:xlabel='Duration in quarter notes', ylabel='Counts'>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 9,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1440x360 with 1 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -778,9 +814,10 @@
     "# durations\n",
     "rows = len(df.index)\n",
     "durcounts = df.s_duration.value_counts().to_dict()\n",
-    "durcounts = {k: (v/rows) for k, v in durcounts.items() if v > (rows * 0.001)}\n",
+    "durcounts = {k: (v/rows) for k, v in durcounts.items() if v > (rows * 0.005)}\n",
     "durcounts[\"others\"] = 1.0 - sum(durcounts.values())\n",
     "dfrn = pd.DataFrame({\"Duration in quarter notes\": list(durcounts.keys()), \"Counts\": list(durcounts.values())})\n",
+    "sns.set(font_scale = 1.5)\n",
     "sns.barplot(x=\"Duration in quarter notes\", y=\"Counts\", data=dfrn)"
    ]
   },
@@ -793,9 +830,6 @@
   }
  ],
  "metadata": {
-  "interpreter": {
-   "hash": "d86b22397e54ce83d9f8021bd82846a50cb845db5e55c6ede46bf989c7558c43"
-  },
   "kernelspec": {
    "display_name": "Python 3.8.10 ('.env': venv)",
    "language": "python",
@@ -813,7 +847,12 @@
    "pygments_lexer": "ipython3",
    "version": "3.8.10"
   },
-  "orig_nbformat": 4
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
  },
  "nbformat": 4,
  "nbformat_minor": 2

From 21b2307a1a7af4f46155ea013bf1c2572dd9470b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 16:37:28 -0400
Subject: [PATCH 04/22] Adding pngs to gitignore.

---
 .gitignore | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/.gitignore b/.gitignore
index dc5293cc..9366609d 100644
--- a/.gitignore
+++ b/.gitignore
@@ -144,3 +144,5 @@ defaults.json
 
 # Ignore memmap files
 *.mmap
+
+notebooks/**/*.png

From 2fa363ab469c91f79c6eeb1cb0b2dd4e6290b642 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 16:38:59 -0400
Subject: [PATCH 05/22] Adding noteboks.

---
 notebooks/thesis/Ch5-LowestNoteEncoding.ipynb | 237 ++++++++++++++++++
 notebooks/thesis/Ch5-SATBEncoding.ipynb       | 223 ++++++++++++++++
 2 files changed, 460 insertions(+)
 create mode 100644 notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
 create mode 100644 notebooks/thesis/Ch5-SATBEncoding.ipynb

diff --git a/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb b/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
new file mode 100644
index 00000000..6bdf83fb
--- /dev/null
+++ b/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd ../.."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.rcParams[\"figure.figsize\"] = (15, 5)\n",
+    "\n",
+    "from AugmentedNet.score_parser import parseScore\n",
+    "from AugmentedNet.input_representations import Bass19, Chromagram19, Bass35, Chromagram35, Duration14"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def _plot_array(arr):\n",
+    "    plt.pcolor(arr.T, edgecolors=\"k\", linewidth=1, cmap=\"tab20\")\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score = \"claraschumann-simple.mxl\"\n",
+    "df = parseScore(score)\n",
+    "df = df.iloc[:100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bass19 = Bass19(df)\n",
+    "bass35 = Bass35(df)\n",
+    "chroma19 = Chromagram19(df)\n",
+    "chroma35 = Chromagram35(df)\n",
+    "duration14 = Duration14(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 890
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(bass19.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 306,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(bass35.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 890
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(chroma19.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 306,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(chroma35.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 306,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(duration14.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/thesis/Ch5-SATBEncoding.ipynb b/notebooks/thesis/Ch5-SATBEncoding.ipynb
new file mode 100644
index 00000000..c9130f0d
--- /dev/null
+++ b/notebooks/thesis/Ch5-SATBEncoding.ipynb
@@ -0,0 +1,223 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd ../.."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.rcParams[\"figure.figsize\"] = (15, 5)\n",
+    "\n",
+    "from AugmentedNet.annotation_parser import parseAnnotation\n",
+    "from AugmentedNet.output_representations import Bass35, Tenor35, Alto35, Soprano35"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def _plot_array(arr):\n",
+    "    plt.pcolor(arr.T, edgecolors=\"k\", linewidth=1, cmap=\"tab20\")\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score = \"claraschumann.rntxt\"\n",
+    "df = parseAnnotation(score)\n",
+    "df = df.iloc[:100]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def one_hot(array):\n",
+    "    arr = array.reshape(-1)\n",
+    "    n_values = np.max(arr) + 1\n",
+    "    return np.eye(n_values)[array.reshape(-1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bass35 = Bass35(df)\n",
+    "tenor35 = Tenor35(df)\n",
+    "alto35 = Alto35(df)\n",
+    "soprano35 = Soprano35(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(one_hot(bass35.array))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(one_hot(tenor35.array))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(one_hot(alto35.array))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1080x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 880
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(one_hot(soprano35.array))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From c07f2337c482ef93ee5d9cd1a21d8c751a7f8724 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 17:19:32 -0400
Subject: [PATCH 06/22] Adding MeterDistribution plot.

---
 notebooks/MeterDistribution.ipynb | 158 ++++++++++++++++++++++++++++++
 1 file changed, 158 insertions(+)
 create mode 100644 notebooks/MeterDistribution.ipynb

diff --git a/notebooks/MeterDistribution.ipynb b/notebooks/MeterDistribution.ipynb
new file mode 100644
index 00000000..cfee58cc
--- /dev/null
+++ b/notebooks/MeterDistribution.ipynb
@@ -0,0 +1,158 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd ../"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from collections import Counter\n",
+    "import matplotlib.pyplot as plt\n",
+    "import re\n",
+    "import seaborn as sns\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "from AugmentedNet.common import ANNOTATIONSCOREDUPLES"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "abc-op131-4 9/4\n",
+      "abc-op135-4 3/2\n",
+      "abc-op135-4 3/2\n",
+      "tavern-mozart-k398-a 7/4\n",
+      "tavern-mozart-k398-a 11/4\n",
+      "tavern-mozart-k398-a 12/4\n",
+      "tavern-mozart-k398-b 7/4\n",
+      "tavern-mozart-k398-b 11/4\n",
+      "tavern-mozart-k398-b 12/4\n",
+      "tavern-mozart-k573-a 19/8\n",
+      "tavern-mozart-k573-b 19/8\n",
+      "tavern-mozart-k613-a 13/8\n",
+      "tavern-mozart-k613-b 13/8\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-2-nun-seh-ich-wohl-warum-so-dunkle-flammen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen 3/2\n",
+      "wir-openscore-liedercorpus-wolf-eichendorff-lieder-20-waldmadchen 4/16\n",
+      "wir-variations-and-grounds-bach-b-minor-mass-bwv232-crucifixus 3/2\n",
+      "wirwtc-bach-wtc-i-8 3/2\n",
+      "wirwtc-bach-wtc-i-13 12/16\n",
+      "677 time signatures\n"
+     ]
+    }
+   ],
+   "source": [
+    "allts = []\n",
+    "weirdones = [\"9/4\", \"3/2\", \"7/4\", \"11/4\", \"12/4\", \"19/8\", \"13/8\", \"4/16\", \"12/16\"]\n",
+    "\n",
+    "for nick, (a, s) in ANNOTATIONSCOREDUPLES.items():\n",
+    "    with open(a) as fd:\n",
+    "        rntxt = fd.read()\n",
+    "    ts = re.findall(r\"Time [S|s]ignature: (\\d+/\\d+)\", rntxt)\n",
+    "    for t in ts:\n",
+    "        if t in weirdones:\n",
+    "            print(nick, t)\n",
+    "        allts.append(t) \n",
+    "\n",
+    "cnt = Counter(allts)\n",
+    "print(f\"{sum(cnt.values())} time signatures\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:>"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1440x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.rcParams[\"figure.figsize\"] = (20, 5)\n",
+    "sns.barplot(x=list(cnt.keys()), y=list(cnt.values()))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 0463e7a712b61d897ed59333a89ffddee75970c8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 23:11:35 -0400
Subject: [PATCH 07/22] Adding notebook for obtaining meterdistribution.

---
 notebooks/AggregateTsvs.ipynb     | 631 ++++++++++++++++++++++++++
 notebooks/DatasetSummary.ipynb    | 708 ++++++++++++++++++++++++++++++
 notebooks/MeterDistribution.ipynb |  28 +-
 notebooks/PlotInput.ipynb         | 210 +++++++++
 4 files changed, 1574 insertions(+), 3 deletions(-)
 create mode 100644 notebooks/AggregateTsvs.ipynb
 create mode 100644 notebooks/DatasetSummary.ipynb
 create mode 100644 notebooks/PlotInput.ipynb

diff --git a/notebooks/AggregateTsvs.ipynb b/notebooks/AggregateTsvs.ipynb
new file mode 100644
index 00000000..c864598d
--- /dev/null
+++ b/notebooks/AggregateTsvs.ipynb
@@ -0,0 +1,631 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd .."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.rcParams[\"figure.figsize\"] = (10, 5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summary = \"dataset/dataset_summary.tsv\"\n",
+    "dfsummary = pd.read_csv(summary, sep=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "training = dfsummary[dfsummary.split == \"training\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "dataset/training/bps-02-op002-no2-1.tsv\n",
+      "dataset/training/bps-03-op002-no3-1.tsv\n",
+      "dataset/training/bps-04-op007-1.tsv\n",
+      "dataset/training/bps-05-op010-no1-1.tsv\n",
+      "dataset/training/bps-09-op014-no1-1.tsv\n",
+      "dataset/training/bps-11-op022-1.tsv\n",
+      "dataset/training/bps-12-op026-1.tsv\n",
+      "dataset/training/bps-13-op027-no1-1.tsv\n",
+      "dataset/training/bps-17-op031-no2-1.tsv\n",
+      "dataset/training/bps-18-op031-no3-1.tsv\n",
+      "dataset/training/bps-21-op053-1.tsv\n",
+      "dataset/training/bps-22-op054-1.tsv\n",
+      "dataset/training/bps-24-op078-1.tsv\n",
+      "dataset/training/bps-27-op090-1.tsv\n",
+      "dataset/training/bps-28-op101-1.tsv\n",
+      "dataset/training/bps-30-op109-1.tsv\n",
+      "dataset/training/bps-31-op110-1.tsv\n",
+      "dataset/training/bps-32-op111-1.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-1.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-2.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-4.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-5.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-6.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-10.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-13.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-14.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-19.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-20.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-21.tsv\n",
+      "dataset/training/wirwtc-bach-wtc-i-23.tsv\n",
+      "dataset/training/abc-op131-3.tsv\n",
+      "dataset/training/abc-op95-4.tsv\n",
+      "dataset/training/abc-op132-2.tsv\n",
+      "dataset/training/abc-op95-2.tsv\n",
+      "dataset/training/abc-op130-1.tsv\n",
+      "dataset/training/abc-op95-1.tsv\n",
+      "dataset/training/abc-op127-3.tsv\n",
+      "dataset/training/abc-op18-no6-2.tsv\n",
+      "dataset/training/abc-op127-4.tsv\n",
+      "dataset/training/abc-op130-2.tsv\n",
+      "dataset/training/abc-op18-no5-3.tsv\n",
+      "dataset/training/abc-op59-no1-2.tsv\n",
+      "dataset/training/abc-op59-no1-3.tsv\n",
+      "dataset/training/abc-op18-no4-4.tsv\n",
+      "dataset/training/abc-op18-no5-1.tsv\n",
+      "dataset/training/abc-op132-1.tsv\n",
+      "dataset/training/abc-op74-2.tsv\n",
+      "dataset/training/abc-op18-no5-2.tsv\n",
+      "dataset/training/abc-op127-1.tsv\n",
+      "dataset/training/abc-op18-no3-2.tsv\n",
+      "dataset/training/abc-op18-no2-4.tsv\n",
+      "dataset/training/abc-op131-6.tsv\n",
+      "dataset/training/abc-op135-4.tsv\n",
+      "dataset/training/abc-op135-3.tsv\n",
+      "dataset/training/abc-op18-no2-3.tsv\n",
+      "dataset/training/abc-op18-no6-4.tsv\n",
+      "dataset/training/abc-op59-no3-2.tsv\n",
+      "dataset/training/abc-op59-no3-4.tsv\n",
+      "dataset/training/abc-op59-no2-1.tsv\n",
+      "dataset/training/abc-op18-no3-4.tsv\n",
+      "dataset/training/abc-op18-no4-1.tsv\n",
+      "dataset/training/abc-op131-7.tsv\n",
+      "dataset/training/abc-op18-no2-2.tsv\n",
+      "dataset/training/abc-op130-6.tsv\n",
+      "dataset/training/abc-op130-5.tsv\n",
+      "dataset/training/abc-op18-no4-3.tsv\n",
+      "dataset/training/abc-op18-no3-1.tsv\n",
+      "dataset/training/abc-op59-no2-2.tsv\n",
+      "dataset/training/abc-op59-no2-4.tsv\n",
+      "dataset/training/abc-op18-no4-2.tsv\n",
+      "dataset/training/abc-op135-1.tsv\n",
+      "dataset/training/abc-op18-no1-4.tsv\n",
+      "dataset/training/abc-op132-4.tsv\n",
+      "dataset/training/abc-op18-no5-4.tsv\n",
+      "dataset/training/abc-op130-4.tsv\n",
+      "dataset/training/abc-op131-2.tsv\n",
+      "dataset/training/abc-op74-1.tsv\n",
+      "dataset/training/abc-op132-3.tsv\n",
+      "dataset/training/abc-op130-3.tsv\n",
+      "dataset/training/abc-op131-5.tsv\n",
+      "dataset/training/tavern-mozart-k353-a.tsv\n",
+      "dataset/training/tavern-mozart-k353-b.tsv\n",
+      "dataset/training/tavern-mozart-k265-a.tsv\n",
+      "dataset/training/tavern-mozart-k265-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-73-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-73-b.tsv\n",
+      "dataset/training/tavern-beethoven-op34-a.tsv\n",
+      "dataset/training/tavern-beethoven-op34-b.tsv\n",
+      "dataset/training/tavern-mozart-k025-a.tsv\n",
+      "dataset/training/tavern-mozart-k025-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-63-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-63-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-68-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-68-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-66-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-66-b.tsv\n",
+      "dataset/training/tavern-mozart-k398-a.tsv\n",
+      "dataset/training/tavern-mozart-k398-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-69-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-69-b.tsv\n",
+      "dataset/training/tavern-mozart-k573-a.tsv\n",
+      "dataset/training/tavern-mozart-k573-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-76-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-76-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-72-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-72-b.tsv\n",
+      "dataset/training/tavern-mozart-k613-a.tsv\n",
+      "dataset/training/tavern-mozart-k613-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-65-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-65-b.tsv\n",
+      "dataset/training/tavern-beethoven-op76-a.tsv\n",
+      "dataset/training/tavern-beethoven-op76-b.tsv\n",
+      "dataset/training/tavern-mozart-k179-a.tsv\n",
+      "dataset/training/tavern-mozart-k179-b.tsv\n",
+      "dataset/training/tavern-mozart-k354-a.tsv\n",
+      "dataset/training/tavern-mozart-k354-b.tsv\n",
+      "dataset/training/tavern-beethoven-woo-71-a.tsv\n",
+      "dataset/training/tavern-beethoven-woo-71-b.tsv\n",
+      "dataset/training/haydnop20-no6-3.tsv\n",
+      "dataset/training/haydnop20-no1-1.tsv\n",
+      "dataset/training/haydnop20-no4-1.tsv\n",
+      "dataset/training/haydnop20-no4-3.tsv\n",
+      "dataset/training/haydnop20-no1-3.tsv\n",
+      "dataset/training/haydnop20-no6-2.tsv\n",
+      "dataset/training/haydnop20-no3-1.tsv\n",
+      "dataset/training/haydnop20-no5-1.tsv\n",
+      "dataset/training/haydnop20-no1-4.tsv\n",
+      "dataset/training/haydnop20-no2-3.tsv\n",
+      "dataset/training/haydnop20-no5-4.tsv\n",
+      "dataset/training/haydnop20-no3-2.tsv\n",
+      "dataset/training/haydnop20-no4-4.tsv\n",
+      "dataset/training/haydnop20-no2-1.tsv\n",
+      "dataset/training/haydnop20-no4-2.tsv\n",
+      "dataset/training/haydnop20-no6-1.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-16-letzte-hoffnung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-02-der-traurige-wanderer.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-23-die-nebensonnen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-05-der-lindenbaum.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-11-ein-jungling-liebt-ein-madchen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-15-unfall.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-1-ich-stand-in-dunklen-traumen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-4-mayenlied.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-1-seit-ich-ihn-gesehen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-chausson-7-melodies-op-2-7-le-colibri.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-09-ihr-bild.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-chaminade-amoroso.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-3-lieder-1-sehnsucht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-13-der-scholar.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-14-der-greise-kopf.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-09-hier-liegt-ein-spielmann-begraben.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-05-ich-will-meine-seele-tauchen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-04-das-standchen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-24-der-leiermann-spatere-fassung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-05-betteley-der-vogel.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-17-im-dorfe.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-03-fruhlingssehnsucht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-lang-6-lieder-op-25-4-lied-immer-sich-rein-kindlich-erfreun.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-9-2-ferne.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-20-der-wegweiser.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-14-die-taubenpost.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-6-die-stille-lotosblume.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-15-die-kraehe.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-08-ruckblick.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-4-im-herbste.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-franz-6-gesange-op-14-5-liebesfruhling.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-03-die-rose-die-lilie.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-2-vorwurf.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-21-das-wirthshaus.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-06-in-der-ferne.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-07-ich-grolle-nicht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-11-die-stadt.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-1-nach-suden.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-10-rast-spatere-fassung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-20-waldmadchen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-deutsche-und-italianische-romantische-gesange-10-ida-aus-ariels-offenbarungen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-08-und-wusstens-die-blumen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-04-erstarrung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-06-wasserfluth.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-die-gute-nacht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-06-im-rhein-im-heiligen-strome.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-jaell-4-melodies-1-a-toi.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-lieder-op-12-04-liebst-du-um-schonheit.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-01-gute-nacht.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-5-morgenstandchen.tsv\n",
+      "dataset/training/wir-openscore-liedercorpus-brahms-7-lieder-op-48-3-liebesklage-des-madchens.tsv\n",
+      "dataset/training/wir-bach-chorales-6.tsv\n",
+      "dataset/training/wir-bach-chorales-18.tsv\n",
+      "dataset/training/wir-bach-chorales-3.tsv\n",
+      "dataset/training/wir-bach-chorales-9.tsv\n",
+      "dataset/training/wir-bach-chorales-12.tsv\n",
+      "dataset/training/wir-bach-chorales-7.tsv\n",
+      "dataset/training/wir-bach-chorales-5.tsv\n",
+      "dataset/training/wir-bach-chorales-20.tsv\n",
+      "dataset/training/wir-bach-chorales-1.tsv\n",
+      "dataset/training/wir-bach-chorales-17.tsv\n",
+      "dataset/training/wir-bach-chorales-13.tsv\n",
+      "dataset/training/wir-bach-chorales-8.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-14.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-6.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-11.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-19.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-8.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-3.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-4-11.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-4-12.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-5-4.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-4-19.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-4-13.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-4-10.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-5-8.tsv\n",
+      "dataset/training/wir-monteverdi-madrigals-book-3-1.tsv\n",
+      "dataset/training/wir-variations-and-grounds-bach-b-minor-mass-bwv232-crucifixus.tsv\n",
+      "dataset/training/wir-variations-and-grounds-purcell-sonata-z807.tsv\n",
+      "dataset/training/wir-variations-and-grounds-purcell-chacony-z730.tsv\n",
+      "dataset/training/wir-orchestral-haydn-symphony-104-1.tsv\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = None\n",
+    "for nickname in training.file:\n",
+    "    tsvpath = os.path.join(\"dataset\", \"training\", f\"{nickname}.tsv\")\n",
+    "    print(tsvpath)\n",
+    "    dffile = pd.read_csv(tsvpath, sep=\"\\t\")\n",
+    "    dffile = dffile[dffile.a_harmonicRhythm == 0]\n",
+    "    if df is None:\n",
+    "        df = dffile\n",
+    "    else:\n",
+    "        df = pd.concat([df, dffile], ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>j_offset</th>\n",
+       "      <th>s_duration</th>\n",
+       "      <th>s_measure</th>\n",
+       "      <th>s_notes</th>\n",
+       "      <th>s_intervals</th>\n",
+       "      <th>s_isOnset</th>\n",
+       "      <th>a_measure</th>\n",
+       "      <th>a_duration</th>\n",
+       "      <th>a_annotationNumber</th>\n",
+       "      <th>a_romanNumeral</th>\n",
+       "      <th>...</th>\n",
+       "      <th>a_localKey</th>\n",
+       "      <th>a_tonicizedKey</th>\n",
+       "      <th>a_degree1</th>\n",
+       "      <th>a_degree2</th>\n",
+       "      <th>measureMisalignment</th>\n",
+       "      <th>qualityScoreNotes</th>\n",
+       "      <th>qualityNonChordTones</th>\n",
+       "      <th>qualityMissingChordTones</th>\n",
+       "      <th>qualitySquaredSum</th>\n",
+       "      <th>incongruentBass</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>0 rows × 30 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "Empty DataFrame\n",
+       "Columns: [j_offset, s_duration, s_measure, s_notes, s_intervals, s_isOnset, a_measure, a_duration, a_annotationNumber, a_romanNumeral, a_harmonicRhythm, a_pitchNames, a_bass, a_tenor, a_alto, a_soprano, a_root, a_inversion, a_quality, a_pcset, a_localKey, a_tonicizedKey, a_degree1, a_degree2, measureMisalignment, qualityScoreNotes, qualityNonChordTones, qualityMissingChordTones, qualitySquaredSum, incongruentBass]\n",
+       "Index: []\n",
+       "\n",
+       "[0 rows x 30 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[(df.a_romanNumeral == \"N\") & (df.a_pcset == (1, 5, 8))]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Roman numeral</th>\n",
+       "      <th>Counts</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>N</td>\n",
+       "      <td>235</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Roman numeral  Counts\n",
+       "18             N     235"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# roman numerals\n",
+    "rncounts = df.a_romanNumeral.value_counts().to_dict()\n",
+    "dfrn = pd.DataFrame({\"Roman numeral\": list(rncounts.keys()), \"Counts\": list(rncounts.values())})\n",
+    "sns.barplot(x=\"Roman numeral\", y=\"Counts\", data=dfrn)\n",
+    "dfrn[dfrn[\"Roman numeral\"] == \"N\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Bass\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Tenor\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Alto\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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gq6q7gOcl+TngGa34o1X1ic5bJkmSJGDE32GrqquAqzpuiyRJkqYx8tMKJEmStDQMbJIkST1nYJMkSeo5A5skSVLPGdgkSZJ6zsAmSZLUcwY2SZKknjOwSZIk9ZyBTZIkqecMbJIkST1nYJMkSeo5A5skSVLPGdgkSZJ6zsAmSZLUcwY2SZKknusssCX5gSSfTvK5JDcmeVMrPyjJNUm2Jflgkr1a+aNa/7Y2fO1QXW9o5V9KckxXbZYkSeqjLs+wfRs4sqqeBRwCHJvkCOBtwFlV9RTgXuDUNv6pwL2t/Kw2HkmeDpwM/DhwLPDuJHt02G5JkqRe6Syw1cA3Wu/3t1cBRwIXtfJNwAmte33rpw0/Kkla+QVV9e2q+gqwDTisq3ZLkiT1TaffYUuyR5LrgbuBLcCXga9X1QNtlO3Amta9BrgdoA2/D3jicPk00wx/1sYkW5Ns3blzZwdzI0mStDT27LLyqvoucEiSvYFLgad1+FnnAOcArFu3rrr6HGlUb7tgvK9b/v7JV0yoJZKk5W5R7hKtqq8DVwHPBfZOMhUU9wd2tO4dwAEAbfgTgHuGy6eZRpIk6RGvy7tEV7UzayR5NPALwM0MgtuJbbQNwGWte3Prpw3/RFVVKz+53UV6EHAw8Omu2i1JktQ3XV4S3Q/Y1O7o/D7gwqr6SJKbgAuSvAX4LHBuG/9c4H1JtgG7GNwZSlXdmORC4CbgAeC0dqlVkiRpRegssFXVDcCzpym/lWnu8qyq/wReNkNdZwJnTrqNkiRJy4FPOpAkSeo5A5skSVLPGdgkSZJ6zsAmSZLUcwY2SZKknjOwSZIk9ZyBTZIkqecMbJIkST1nYJMkSeq5Lh9NJWmCXnPxsWNN/46XfnxCLZEkLTbPsEmSJPWcgU2SJKnnDGySJEk9Z2CTJEnqOQObJElSzxnYJEmSes7AJkmS1HMGNkmSpJ4zsEmSJPWcgU2SJKnnDGySJEk9Z2CTJEnqOQObJElSz3UW2JIckOSqJDcluTHJa1r5vkm2JLmlve/TypPknUm2JbkhyaFDdW1o49+SZENXbZYkSeqjLs+wPQD8XlU9HTgCOC3J04HXA1dW1cHAla0f4Djg4PbaCJwNg4AHnA4cDhwGnD4V8iRJklaCzgJbVd1RVZ9p3f8B3AysAdYDm9pom4ATWvd64PwauBrYO8l+wDHAlqraVVX3AluAY7tqtyRJUt8synfYkqwFng1cA6yuqjvaoDuB1a17DXD70GTbW9lM5ZIkSStC54EtyWOBi4HXVtX9w8OqqoCa0OdsTLI1ydadO3dOokpJkqRe6DSwJfl+BmHt/VV1SSu+q13qpL3f3cp3AAcMTb5/K5up/GGq6pyqWldV61atWjXZGZEkSVpCXd4lGuBc4Oaq+pOhQZuBqTs9NwCXDZW/st0tegRwX7t0egVwdJJ92s0GR7cySZKkFWHPDuv+KeCXgc8nub6V/W/grcCFSU4FbgNOasMuB44HtgHfAl4FUFW7krwZuLaNd0ZV7eqw3ZIkSb3SWWCrqn8CMsPgo6YZv4DTZqjrPOC8ybVOkiRp+fBJB5IkST3X5SVRST123GXjPTTkY+s3zT2SJGkiPMMmSZLUcwY2SZKknjOwSZIk9ZyBTZIkqecMbJIkST1nYJMkSeo5A5skSVLPGdgkSZJ6zsAmSZLUcwY2SZKknvPRVJIm4vhL37jgaS9/8cKnlaSVwDNskiRJPWdgkyRJ6jkDmyRJUs8Z2CRJknrOwCZJktRz3iUqqXdeeMnbx5r+oy957UTaIUl94Rk2SZKknjOwSZIk9ZyBTZIkqecMbJIkST1nYJMkSeq5zgJbkvOS3J3kC0Nl+ybZkuSW9r5PK0+SdybZluSGJIcOTbOhjX9Lkg1dtVeSJKmvujzD9l7g2N3KXg9cWVUHA1e2foDjgIPbayNwNgwCHnA6cDhwGHD6VMiTJElaKToLbFX1D8Cu3YrXA5ta9ybghKHy82vgamDvJPsBxwBbqmpXVd0LbOF7Q6AkSdIj2mJ/h211Vd3Ruu8EVrfuNcDtQ+Ntb2UzlUuSJK0YS3bTQVUVUJOqL8nGJFuTbN25c+ekqpUkSVpyix3Y7mqXOmnvd7fyHcABQ+Pt38pmKv8eVXVOVa2rqnWrVq2aeMMlSZKWymIHts3A1J2eG4DLhspf2e4WPQK4r106vQI4Osk+7WaDo1uZJEnSitHZw9+TfAB4AfCkJNsZ3O35VuDCJKcCtwEntdEvB44HtgHfAl4FUFW7krwZuLaNd0ZV7X4jgyRJ0iNaZ4Gtqk6ZYdBR04xbwGkz1HMecN4EmyZJkrSs+KQDSZKknjOwSZIk9ZyBTZIkqec6+w6bJPXFCy9+z1jTf/Slr55QSyRpYQxskjRPv3jR+8ea/iMnvmJCLZG0UnhJVJIkqecMbJIkST1nYJMkSeo5A5skSVLPGdgkSZJ6zsAmSZLUcwY2SZKknjOwSZIk9ZyBTZIkqecMbJIkST1nYJMkSeo5A5skSVLPGdgkSZJ6bs+lboAkrXS/dNGlY03/4RNfPKGWSOorA5skPcKsv+iKsaa/7MRjJtQSSZPiJVFJkqSeM7BJkiT1nIFNkiSp5wxskiRJPbdsbjpIcizwDmAP4D1V9dYlbpIkrQgvufhfxpr+kpc+72H9J138xbHqu/ClTxtremk5WhaBLckewLuAXwC2A9cm2VxVNy1tyyRJS+30S/99rOnf9OIfmlBLpO4sl0uihwHbqurWqvoOcAGwfonbJEmStCiWxRk2YA1w+1D/duDwJWqLJOkRbNMlO8eafsNLVj2s/2Mf/NpY9R338ic9rP/q9949Vn1H/MqTH9b/r++6a6z6nnra6rGm12hSVUvdhjklORE4tqpe3fp/GTi8qn5raJyNwMbW+2PAl0ao+knAeHuS9Vmf9S1FfX1um/VZn/Ut3/qWqm0/XFWrZhthuZxh2wEcMNS/fyt7UFWdA5wzn0qTbK2qdeM3z/qsz/oWs74+t836rM/6lm99fW7bcvkO27XAwUkOSrIXcDKweYnbJEmStCiWxRm2qnogyW8BVzD4WY/zqurGJW6WJEnSolgWgQ2gqi4HLp9wtfO6hGp91md9vamvz22zPuuzvuVbX2/btixuOpAkSVrJlst32CRJklasFRnYkqxO8tdJbk1yXZJPJXnxAuv6bpLrk9yY5HNJfi/JWMt1qM6p1+vHqa/VeUKSSjL2M12S/JckFyT5clt+lyd56hj17T6/aydQ1+eSfCbJ8+aeqtu65pq/JFcl+YEkb0/y3DHqnfd2Mte6TPKBdrPPa5OcMs+6x97mRtlXR11+o+6rC1kfkz4OTPgYNeN6mO/6nWubS3JMkjcl2TfJx0asa8b9a6Hb30KPUePuq0l+LcmrkhyS5M8X+jkLmae5ltUo62aUdTJL+8beV+dafnNtfwsx2/4xyzQTOZaMur08qKpW1AsI8Cng14fKfhj47QXW942h7icDfwe8acw2fmOc6Weo84PAP06gbdMtv2cBP92H+d1tfRwDfHKp65pt/oBHA1e27n8Gvn+xltso6xL4VHu/FFizmNvcKPvqfJbfKPvqQtfHJI8DHRyjZlwP812/c21zwFuAoxg8ieYP5rHMpt2/FrL9jXOMGndfBf4K+FHgNcArFrocFzJPcy2rUdbNKOtkodvsJJbffJfbiG2f93FqUseSUbeXB8ef9Mz3/dU22AX/EZ9rAwJ+BLiH9v3ASdQ5gTY+lsHv1j0V+NKYdR0J/MOE29dVYHsZ8DdLXddM8wdcBWwD7gI+D9wPXA8cvxjLbbZ1CbwfuAm4t7Xpm+391Yu1zc21r853+c21r46zPiZ5HJjkMWqm9bDQ9TvLtvzyNv39bdnd3Zbl5lHq2n3/Gmf7G+cYtdB9Ffjd3dr59db+P5vP5yxknuZaVvNZN7Otk3G22Uktv/kut4XuH/PdTpjnsWS+28uDnzPJmV8OL+B3gLMmWN/3bEBt4a8eo87vtpU49Xr5mG18BXBu6/4X4Dl9WX7TzO+lE6rri8B9Y87rROqabf6A1wEvBX4W+KPF3E7mWpcMDti/x+A/5Q8t9jY3yrY2n+U3yr660PUxyePAJPex2dbDQtbvbNscg7Ms/9K6rwQeN2Jd0+5fC93+xll+4+yrwCrgw6370wv9nIXM01zLatR1M9c6GWeZT2L5zbb9LXB9L+g4Ncr+PsntZeq1bH7WoytJ3gU8H/hOVf3kUren+b9VdcgE6zsFeEfrvqD1XzfB+sc1yfl9sK72nYHzkzyj2l6xRHXNNn+HMriEcRzwuQnWOwmHMji4P5P5t23i29wM++o4y286k65vbGMeo2ZbDwtZv7Ntc08Fbm3dj6mq/xi1rhn2r3G2v4UaZ189FPhckscz+OO90M9ZiLmW1ajrZiLHvAXuq6Msv+X0t3GS28vAOOl0Ob6Y5tQtg2d9fXWB9fX6kiiwL/At4Dbgq8DtwL8ttH1t+S2LS6Kt/y7gyZOsCziT9h/eQucPeHWr4xvtfRdwM/D+cZYbcDgP/ff5ooWsS+D4Nv19DE7n3wl8GbhqzG3uilbve+axrU27ry5k+c22r467Puao+y9bnZdPYL5HrmuW9fDCha7f6ba5Vr61fcZ2Hn55bsbvjU2zzKb2r3G3v5m26zn32+nmb65to7X5euDfGYSiqUth1wM/Oo/PmXHdzjJPcy6r+aybWdbJg8uOwY/XT3WfMe6+Op/lN8Nye9gxb5T1PMf+8eBxave6R9zfJ769PPg5o+wAj6RXW6DXAL8xVHYgEwhsDE5x/i09uukA2Aj8+W5lnwR+Zszlt3Go7JnT7fxLNL/D6+NpDB66u8dS1jXT/LUdd3PrHumU+CSX22zrksFB+Z9b2ZXA4xd7m5trX53v8ptrXx1nfUzyODCpY9Rs62Gh63e2bQ54F/Ac4FeA35znMnvY/jXm9rfgY9Q4+yrwEQYh5Y3M8b3H+e674+6ro66b2dbJONvspJbffJfbHG1e8HFqEseS+WwvU68V97MeNVhSJwA/m+QrST4NbAJ+f4FVPnrq9l4Gd4r8LfCmMZs5VefU661j1HUKg9Oywy5u5fPWlt+LgZ9vt5ffCPwhg//s+uDBZcfg7p8NVfXdHtQ1nZ8B/inJAQz+y1tw+xayncyxLp/N4HT9Xgzubrp/HlVPZJsbYV+d7/Kba18dZ31M7DgwwWPUbOthoet3tm3uUNqZGwZ/+Eaui+/dvxa8/XV0jJp120iyB/DEqvoa8Dzgn8b4rO8xgX111HWzoGPeuPvqPJZfX/42jnUsWej24pMOJEmSem7FnWGTJElabgxskiRJPWdgkyRJ6jkDmyRJUs8Z2CRJknrOwCZJQ5KckKSSPK31r03yhdZ9SJLjl7aFklYiA5skPdwpDH4XabrfYzqEwa/LS9KiMrBJUpPksQyegXgqcPJuw/YCzgBe3n408+VJ9k3yN0luSHJ1kmcuQbMlrQAr/uHvkjRkPfDxqvrXJPckeQ6DZwRSVd9J8n+AdVX1WwBJ/hT4bFWdkORI4HwGZ+EkaaI8wyZJDzkFuKB1X8Dcj6l5PvA+gKr6BPDEJI/vrnmSVirPsEkSkGRf4EjgJ5IUg4dqF4MHZ0vSkvIMmyQNnAi8r6p+uKrWVtUBwFeAA4bG+Q/gcUP9/wi8AiDJC4CvzedB5ZI0KgObJA2cAly6W9nFwBuG+q8Cnj510wHwRuA5SW4A3gpsWIyGSlp5UlVL3QZJkiTNwjNskiRJPWdgkyRJ6jkDmyRJUs8Z2CRJknrOwCZJktRzBjZJkqSeM7BJkiT1nIFNkiSp5/4/cB9c/RYwFSAAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Soprano\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Quality\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Root\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# note distribution\n",
+    "for voice in [\"Bass\", \"Tenor\", \"Alto\", \"Soprano\", \"Quality\", \"Root\"]:\n",
+    "    print(voice)\n",
+    "    notecounts = df[f\"a_{voice.lower()}\"].value_counts().to_dict()\n",
+    "    dfbass = pd.DataFrame({voice: list(notecounts.keys()), \"Counts\": list(notecounts.values())})\n",
+    "    sns.barplot(x=voice, y=\"Counts\", data=dfbass)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pcsets\n",
+    "rncounts = df.a_pcset.value_counts().to_dict()\n",
+    "dfrn = pd.DataFrame({\"Roman numeral\": list(rncounts.keys()), \"Counts\": list(rncounts.values())})\n",
+    "sns.barplot(x=\"Roman numeral\", y=\"Counts\", data=dfrn)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/DatasetSummary.ipynb b/notebooks/DatasetSummary.ipynb
new file mode 100644
index 00000000..c05e228e
--- /dev/null
+++ b/notebooks/DatasetSummary.ipynb
@@ -0,0 +1,708 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet-Copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd .."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.rcParams[\"figure.figsize\"] = (20, 10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "summary = \"dataset/dataset_summary.tsv\"\n",
+    "dfsummary = pd.read_csv(summary, sep=\"\\t\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# training = dfsummary[dfsummary.split == \"training\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "test dataset/test/bps-01-op002-no1-1.tsv\n",
+      "test dataset/test/bps-14-op027-no2-moonlight-1.tsv\n",
+      "test dataset/test/bps-23-op057-appassionata-1.tsv\n",
+      "test dataset/test/bps-15-op028-pastorale-1.tsv\n",
+      "test dataset/test/bps-10-op014-no2-1.tsv\n",
+      "test dataset/test/bps-25-op079-sonatina-1.tsv\n",
+      "test dataset/test/bps-07-op010-no3-1.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-3.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-8.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-12.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-15.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-22.tsv\n",
+      "test dataset/test/wirwtc-bach-wtc-i-24.tsv\n",
+      "test dataset/test/abc-op74-3.tsv\n",
+      "test dataset/test/abc-op127-2.tsv\n",
+      "test dataset/test/abc-op95-3.tsv\n",
+      "test dataset/test/abc-op18-no6-3.tsv\n",
+      "test dataset/test/abc-op59-no1-1.tsv\n",
+      "test dataset/test/abc-op18-no1-3.tsv\n",
+      "test dataset/test/abc-op135-2.tsv\n",
+      "test dataset/test/abc-op59-no2-3.tsv\n",
+      "test dataset/test/abc-op18-no1-1.tsv\n",
+      "test dataset/test/abc-op74-4.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-77-a.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-77-b.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-75-a.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-75-b.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-78-a.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-78-b.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-70-a.tsv\n",
+      "test dataset/test/tavern-beethoven-woo-70-b.tsv\n",
+      "test dataset/test/haydnop20-no2-2.tsv\n",
+      "test dataset/test/haydnop20-no3-4.tsv\n",
+      "test dataset/test/haydnop20-no5-3.tsv\n",
+      "test dataset/test/haydnop20-no6-4.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-die-schone-mullerin-d-795-12-pause.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-08-der-atlas.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-16-die-alten-bosen-lieder.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-10-hor-ich-das-liedchen-klingen.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-04-wenn-ich-in-deine-augen-seh.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-winterreise-d-911-03-gefrorne-thranen.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-wolf-eichendorff-lieder-19-die-nacht.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-reichardt-sechs-lieder-von-novalis-op-4-5-noch-ein-bergmannslied.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-hensel-6-lieder-op-9-1-die-ersehnte.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-02-aus-meinen-tranen-spriessen.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-05-aufenthalt.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh.tsv\n",
+      "test dataset/test/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen.tsv\n",
+      "test dataset/test/wir-bach-chorales-19.tsv\n",
+      "test dataset/test/wir-bach-chorales-4.tsv\n",
+      "test dataset/test/wir-bach-chorales-10.tsv\n",
+      "test dataset/test/wir-monteverdi-madrigals-book-3-9.tsv\n",
+      "test dataset/test/wir-monteverdi-madrigals-book-5-7.tsv\n",
+      "test dataset/test/wir-monteverdi-madrigals-book-5-5.tsv\n",
+      "validation dataset/validation/bps-08-op013-pathetique-1.tsv\n",
+      "validation dataset/validation/bps-19-op049-no1-1.tsv\n",
+      "validation dataset/validation/bps-29-op106-hammerklavier-1.tsv\n",
+      "validation dataset/validation/bps-16-op031-no1-1.tsv\n",
+      "validation dataset/validation/bps-26-op081a-les-adieux-1.tsv\n",
+      "validation dataset/validation/bps-06-op010-no2-1.tsv\n",
+      "validation dataset/validation/bps-20-op049-no2-1.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-7.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-9.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-11.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-16.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-17.tsv\n",
+      "validation dataset/validation/wirwtc-bach-wtc-i-18.tsv\n",
+      "validation dataset/validation/abc-op131-1.tsv\n",
+      "validation dataset/validation/abc-op59-no3-1.tsv\n",
+      "validation dataset/validation/abc-op59-no1-4.tsv\n",
+      "validation dataset/validation/abc-op18-no1-2.tsv\n",
+      "validation dataset/validation/abc-op18-no2-1.tsv\n",
+      "validation dataset/validation/abc-op131-4.tsv\n",
+      "validation dataset/validation/abc-op132-5.tsv\n",
+      "validation dataset/validation/abc-op18-no6-1.tsv\n",
+      "validation dataset/validation/abc-op59-no3-3.tsv\n",
+      "validation dataset/validation/abc-op18-no3-3.tsv\n",
+      "validation dataset/validation/tavern-mozart-k501-a.tsv\n",
+      "validation dataset/validation/tavern-mozart-k501-b.tsv\n",
+      "validation dataset/validation/tavern-beethoven-woo-64-a.tsv\n",
+      "validation dataset/validation/tavern-beethoven-woo-64-b.tsv\n",
+      "validation dataset/validation/tavern-mozart-k455-a.tsv\n",
+      "validation dataset/validation/tavern-mozart-k455-b.tsv\n",
+      "validation dataset/validation/tavern-beethoven-woo-80-a.tsv\n",
+      "validation dataset/validation/tavern-beethoven-woo-80-b.tsv\n",
+      "validation dataset/validation/haydnop20-no1-2.tsv\n",
+      "validation dataset/validation/haydnop20-no2-4.tsv\n",
+      "validation dataset/validation/haydnop20-no3-3.tsv\n",
+      "validation dataset/validation/haydnop20-no5-2.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-hensel-6-lieder-op-9-5-der-maiabend.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-brahms-6-songs-op-3-3-liebe-und-fruhling-ii.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-wolf-eichendorff-lieder-08-nachtzauber.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-hensel-6-lieder-op-9-4-die-fruhen-graber.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-mahler-kindertotenlieder-2-nun-seh-ich-wohl-warum-so-dunkle-flammen.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schumann-6-lieder-op-13-3-liebeszauber.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-4-lieder-op-96-1-die-sterne-d-939.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-07-abschied.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-winterreise-d-911-22-muth.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-01-im-wunderschonen-monat-mai.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-winterreise-d-911-18-der-stuermische-morgen.tsv\n",
+      "validation dataset/validation/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-13-der-doppelganger.tsv\n",
+      "validation dataset/validation/wir-bach-chorales-2.tsv\n",
+      "validation dataset/validation/wir-bach-chorales-14.tsv\n",
+      "validation dataset/validation/wir-bach-chorales-16.tsv\n",
+      "validation dataset/validation/wir-monteverdi-madrigals-book-3-10.tsv\n",
+      "validation dataset/validation/wir-monteverdi-madrigals-book-3-15.tsv\n",
+      "validation dataset/validation/wir-monteverdi-madrigals-book-3-13.tsv\n",
+      "training dataset/training/bps-02-op002-no2-1.tsv\n",
+      "training dataset/training/bps-03-op002-no3-1.tsv\n",
+      "training dataset/training/bps-04-op007-1.tsv\n",
+      "training dataset/training/bps-05-op010-no1-1.tsv\n",
+      "training dataset/training/bps-09-op014-no1-1.tsv\n",
+      "training dataset/training/bps-11-op022-1.tsv\n",
+      "training dataset/training/bps-12-op026-1.tsv\n",
+      "training dataset/training/bps-13-op027-no1-1.tsv\n",
+      "training dataset/training/bps-17-op031-no2-1.tsv\n",
+      "training dataset/training/bps-18-op031-no3-1.tsv\n",
+      "training dataset/training/bps-21-op053-1.tsv\n",
+      "training dataset/training/bps-22-op054-1.tsv\n",
+      "training dataset/training/bps-24-op078-1.tsv\n",
+      "training dataset/training/bps-27-op090-1.tsv\n",
+      "training dataset/training/bps-28-op101-1.tsv\n",
+      "training dataset/training/bps-30-op109-1.tsv\n",
+      "training dataset/training/bps-31-op110-1.tsv\n",
+      "training dataset/training/bps-32-op111-1.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-1.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-2.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-4.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-5.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-6.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-10.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-13.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-14.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-19.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-20.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-21.tsv\n",
+      "training dataset/training/wirwtc-bach-wtc-i-23.tsv\n",
+      "training dataset/training/abc-op131-3.tsv\n",
+      "training dataset/training/abc-op95-4.tsv\n",
+      "training dataset/training/abc-op132-2.tsv\n",
+      "training dataset/training/abc-op95-2.tsv\n",
+      "training dataset/training/abc-op130-1.tsv\n",
+      "training dataset/training/abc-op95-1.tsv\n",
+      "training dataset/training/abc-op127-3.tsv\n",
+      "training dataset/training/abc-op18-no6-2.tsv\n",
+      "training dataset/training/abc-op127-4.tsv\n",
+      "training dataset/training/abc-op130-2.tsv\n",
+      "training dataset/training/abc-op18-no5-3.tsv\n",
+      "training dataset/training/abc-op59-no1-2.tsv\n",
+      "training dataset/training/abc-op59-no1-3.tsv\n",
+      "training dataset/training/abc-op18-no4-4.tsv\n",
+      "training dataset/training/abc-op18-no5-1.tsv\n",
+      "training dataset/training/abc-op132-1.tsv\n",
+      "training dataset/training/abc-op74-2.tsv\n",
+      "training dataset/training/abc-op18-no5-2.tsv\n",
+      "training dataset/training/abc-op127-1.tsv\n",
+      "training dataset/training/abc-op18-no3-2.tsv\n",
+      "training dataset/training/abc-op18-no2-4.tsv\n",
+      "training dataset/training/abc-op131-6.tsv\n",
+      "training dataset/training/abc-op135-4.tsv\n",
+      "training dataset/training/abc-op135-3.tsv\n",
+      "training dataset/training/abc-op18-no2-3.tsv\n",
+      "training dataset/training/abc-op18-no6-4.tsv\n",
+      "training dataset/training/abc-op59-no3-2.tsv\n",
+      "training dataset/training/abc-op59-no3-4.tsv\n",
+      "training dataset/training/abc-op59-no2-1.tsv\n",
+      "training dataset/training/abc-op18-no3-4.tsv\n",
+      "training dataset/training/abc-op18-no4-1.tsv\n",
+      "training dataset/training/abc-op131-7.tsv\n",
+      "training dataset/training/abc-op18-no2-2.tsv\n",
+      "training dataset/training/abc-op130-6.tsv\n",
+      "training dataset/training/abc-op130-5.tsv\n",
+      "training dataset/training/abc-op18-no4-3.tsv\n",
+      "training dataset/training/abc-op18-no3-1.tsv\n",
+      "training dataset/training/abc-op59-no2-2.tsv\n",
+      "training dataset/training/abc-op59-no2-4.tsv\n",
+      "training dataset/training/abc-op18-no4-2.tsv\n",
+      "training dataset/training/abc-op135-1.tsv\n",
+      "training dataset/training/abc-op18-no1-4.tsv\n",
+      "training dataset/training/abc-op132-4.tsv\n",
+      "training dataset/training/abc-op18-no5-4.tsv\n",
+      "training dataset/training/abc-op130-4.tsv\n",
+      "training dataset/training/abc-op131-2.tsv\n",
+      "training dataset/training/abc-op74-1.tsv\n",
+      "training dataset/training/abc-op132-3.tsv\n",
+      "training dataset/training/abc-op130-3.tsv\n",
+      "training dataset/training/abc-op131-5.tsv\n",
+      "training dataset/training/tavern-mozart-k353-a.tsv\n",
+      "training dataset/training/tavern-mozart-k353-b.tsv\n",
+      "training dataset/training/tavern-mozart-k265-a.tsv\n",
+      "training dataset/training/tavern-mozart-k265-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-73-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-73-b.tsv\n",
+      "training dataset/training/tavern-beethoven-op34-a.tsv\n",
+      "training dataset/training/tavern-beethoven-op34-b.tsv\n",
+      "training dataset/training/tavern-mozart-k025-a.tsv\n",
+      "training dataset/training/tavern-mozart-k025-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-63-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-63-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-68-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-68-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-66-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-66-b.tsv\n",
+      "training dataset/training/tavern-mozart-k398-a.tsv\n",
+      "training dataset/training/tavern-mozart-k398-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-69-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-69-b.tsv\n",
+      "training dataset/training/tavern-mozart-k573-a.tsv\n",
+      "training dataset/training/tavern-mozart-k573-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-76-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-76-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-72-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-72-b.tsv\n",
+      "training dataset/training/tavern-mozart-k613-a.tsv\n",
+      "training dataset/training/tavern-mozart-k613-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-65-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-65-b.tsv\n",
+      "training dataset/training/tavern-beethoven-op76-a.tsv\n",
+      "training dataset/training/tavern-beethoven-op76-b.tsv\n",
+      "training dataset/training/tavern-mozart-k179-a.tsv\n",
+      "training dataset/training/tavern-mozart-k179-b.tsv\n",
+      "training dataset/training/tavern-mozart-k354-a.tsv\n",
+      "training dataset/training/tavern-mozart-k354-b.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-71-a.tsv\n",
+      "training dataset/training/tavern-beethoven-woo-71-b.tsv\n",
+      "training dataset/training/haydnop20-no6-3.tsv\n",
+      "training dataset/training/haydnop20-no1-1.tsv\n",
+      "training dataset/training/haydnop20-no4-1.tsv\n",
+      "training dataset/training/haydnop20-no4-3.tsv\n",
+      "training dataset/training/haydnop20-no1-3.tsv\n",
+      "training dataset/training/haydnop20-no6-2.tsv\n",
+      "training dataset/training/haydnop20-no3-1.tsv\n",
+      "training dataset/training/haydnop20-no5-1.tsv\n",
+      "training dataset/training/haydnop20-no1-4.tsv\n",
+      "training dataset/training/haydnop20-no2-3.tsv\n",
+      "training dataset/training/haydnop20-no5-4.tsv\n",
+      "training dataset/training/haydnop20-no3-2.tsv\n",
+      "training dataset/training/haydnop20-no4-4.tsv\n",
+      "training dataset/training/haydnop20-no2-1.tsv\n",
+      "training dataset/training/haydnop20-no4-2.tsv\n",
+      "training dataset/training/haydnop20-no6-1.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-16-letzte-hoffnung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-02-der-traurige-wanderer.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-23-die-nebensonnen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-05-der-lindenbaum.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-11-ein-jungling-liebt-ein-madchen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-15-unfall.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-1-ich-stand-in-dunklen-traumen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-4-mayenlied.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-1-seit-ich-ihn-gesehen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-chausson-7-melodies-op-2-7-le-colibri.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-09-ihr-bild.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-chaminade-amoroso.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-3-lieder-1-sehnsucht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-13-der-scholar.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-14-der-greise-kopf.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-09-hier-liegt-ein-spielmann-begraben.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-05-ich-will-meine-seele-tauchen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-04-das-standchen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-24-der-leiermann-spatere-fassung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-05-betteley-der-vogel.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-17-im-dorfe.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-03-fruhlingssehnsucht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-lang-6-lieder-op-25-4-lied-immer-sich-rein-kindlich-erfreun.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-9-2-ferne.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-20-der-wegweiser.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-14-die-taubenpost.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-6-die-stille-lotosblume.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-15-die-kraehe.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-08-ruckblick.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-4-im-herbste.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-franz-6-gesange-op-14-5-liebesfruhling.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-03-die-rose-die-lilie.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-mahler-kindertotenlieder-4-oft-denk-ich-sie-sind-nur-ausgegangen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-2-vorwurf.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-21-das-wirthshaus.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-06-in-der-ferne.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-07-ich-grolle-nicht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-11-die-stadt.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-5-lieder-op-10-1-nach-suden.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-10-rast-spatere-fassung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-wolf-eichendorff-lieder-20-waldmadchen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-deutsche-und-italianische-romantische-gesange-10-ida-aus-ariels-offenbarungen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-08-und-wusstens-die-blumen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-04-erstarrung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-06-wasserfluth.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-die-gute-nacht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-06-im-rhein-im-heiligen-strome.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-jaell-4-melodies-1-a-toi.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-lieder-op-12-04-liebst-du-um-schonheit.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-01-gute-nacht.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-hensel-6-lieder-op-1-5-morgenstandchen.tsv\n",
+      "training dataset/training/wir-openscore-liedercorpus-brahms-7-lieder-op-48-3-liebesklage-des-madchens.tsv\n",
+      "training dataset/training/wir-bach-chorales-6.tsv\n",
+      "training dataset/training/wir-bach-chorales-18.tsv\n",
+      "training dataset/training/wir-bach-chorales-3.tsv\n",
+      "training dataset/training/wir-bach-chorales-9.tsv\n",
+      "training dataset/training/wir-bach-chorales-12.tsv\n",
+      "training dataset/training/wir-bach-chorales-7.tsv\n",
+      "training dataset/training/wir-bach-chorales-5.tsv\n",
+      "training dataset/training/wir-bach-chorales-20.tsv\n",
+      "training dataset/training/wir-bach-chorales-1.tsv\n",
+      "training dataset/training/wir-bach-chorales-17.tsv\n",
+      "training dataset/training/wir-bach-chorales-13.tsv\n",
+      "training dataset/training/wir-bach-chorales-8.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-14.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-6.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-11.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-19.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-8.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-3.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-4-11.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-4-12.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-5-4.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-4-19.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-4-13.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-4-10.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-5-8.tsv\n",
+      "training dataset/training/wir-monteverdi-madrigals-book-3-1.tsv\n",
+      "training dataset/training/wir-variations-and-grounds-bach-b-minor-mass-bwv232-crucifixus.tsv\n",
+      "training dataset/training/wir-variations-and-grounds-purcell-sonata-z807.tsv\n",
+      "training dataset/training/wir-variations-and-grounds-purcell-chacony-z730.tsv\n",
+      "training dataset/training/wir-orchestral-haydn-symphony-104-1.tsv\n"
+     ]
+    }
+   ],
+   "source": [
+    "df = None\n",
+    "for nickname in dfsummary.file:\n",
+    "    split = dfsummary[dfsummary.file == nickname].split.to_list()[0]\n",
+    "    collection = dfsummary[dfsummary.file == nickname].collection.to_list()[0]\n",
+    "    tsvpath = os.path.join(\"dataset\", split, f\"{nickname}.tsv\")\n",
+    "    print(split, tsvpath)\n",
+    "    dffile = pd.read_csv(tsvpath, sep=\"\\t\")\n",
+    "    dffile = dffile[dffile.a_harmonicRhythm == 0]\n",
+    "    dffile[\"a_isTonicization\"] = dffile.a_localKey != dffile.a_tonicizedKey\n",
+    "    dffile[\"collection\"] = collection\n",
+    "    dffile[\"split\"] = split\n",
+    "    dffile[\"file\"] = nickname\n",
+    "    if df is None:\n",
+    "        df = dffile\n",
+    "    else:\n",
+    "        df = pd.concat([df, dffile], ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "haydn = df[(df.collection == \"haydnop20\")]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[63.0, 104.0, 85.0, 95.0, 65.0, 162.0, 113.0, 100.0, 42.0, 109.0, 302.0, 36.0, 96.0, 79.0, 270.0, 161.0, 160.0, 84.0, 184.0, 87.0, 130.0, 106.0, 122.0, 166.0] 24\n",
+      "2921.0\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/tmp/ipykernel_1553/2201667993.py:3: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "  measures.append(haydn[(df.file == f)].s_measure.max())\n"
+     ]
+    }
+   ],
+   "source": [
+    "measures = []\n",
+    "for f in haydn.file.unique():\n",
+    "    measures.append(haydn[(df.file == f)].s_measure.max())\n",
+    "print(measures, len(measures))\n",
+    "print(sum(measures))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "localKey\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tonicizedKey\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "romanNumeral\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for feature in [\"localKey\", \"tonicizedKey\", \"romanNumeral\"]: #\"Bass\", \"Tenor\", \"Alto\", \"Soprano\", \"Quality\", \"Root\", \"Key\"]:\n",
+    "    print(feature)\n",
+    "    notecounts = df[f\"a_{feature}\"].value_counts().to_dict()\n",
+    "    dfbass = pd.DataFrame({feature: list(notecounts.keys()), \"Counts\": list(notecounts.values())})\n",
+    "    sns.swarmplot(y=\"Counts\", x=feature, data=dfbass)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "isTonicization\n",
+      "bps\n",
+      "wirwtc\n",
+      "abc\n",
+      "tavern\n",
+      "haydnop20\n",
+      "wir\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "localKey\n",
+      "bps\n",
+      "wirwtc\n",
+      "abc\n",
+      "tavern\n",
+      "haydnop20\n",
+      "wir\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "tonicizedKey\n",
+      "bps\n",
+      "wirwtc\n",
+      "abc\n",
+      "tavern\n",
+      "haydnop20\n",
+      "wir\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# key distribution\n",
+    "for feature in [\"isTonicization\", \"localKey\", \"tonicizedKey\"]:\n",
+    "    print(feature)\n",
+    "    dffeature = None\n",
+    "    for collection in df.collection.unique(): #\"Bass\", \"Tenor\", \"Alto\", \"Soprano\", \"Quality\", \"Root\", \"Key\"]:\n",
+    "        print(collection)\n",
+    "        dfcollection = df[df.collection == collection]\n",
+    "        notecounts = dfcollection[f\"a_{feature}\"].value_counts().to_dict()\n",
+    "        dffeat = pd.DataFrame({feature: list(notecounts.keys()), \"Counts\": list(notecounts.values()), \"collection\": collection})\n",
+    "        if dffeature is None:\n",
+    "            dffeature = dffeat\n",
+    "        else:\n",
+    "            dffeature = pd.concat([dffeature, dffeat], ignore_index=True)\n",
+    "    sns.lineplot(x=feature, y=\"Counts\", hue=\"collection\", data=dffeature)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<AxesSubplot:xlabel='Roman numeral', ylabel='Counts'>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# pcsets\n",
+    "rncounts = df.a_pcset.value_counts().to_dict()\n",
+    "dfrn = pd.DataFrame({\"Roman numeral\": list(rncounts.keys()), \"Counts\": list(rncounts.values())})\n",
+    "sns.barplot(x=\"Roman numeral\", y=\"Counts\", data=dfrn)"
+   ]
+  }
+ ],
+ "metadata": {
+  "interpreter": {
+   "hash": "d86b22397e54ce83d9f8021bd82846a50cb845db5e55c6ede46bf989c7558c43"
+  },
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/notebooks/MeterDistribution.ipynb b/notebooks/MeterDistribution.ipynb
index cfee58cc..bf9535ec 100644
--- a/notebooks/MeterDistribution.ipynb
+++ b/notebooks/MeterDistribution.ipynb
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -73,6 +73,9 @@
    "source": [
     "allts = []\n",
     "weirdones = [\"9/4\", \"3/2\", \"7/4\", \"11/4\", \"12/4\", \"19/8\", \"13/8\", \"4/16\", \"12/16\"]\n",
+    "interestingones = [\"3/4\", \"6/8\", \"3/8\"]\n",
+    "\n",
+    "interestingfiles = []\n",
     "\n",
     "for nick, (a, s) in ANNOTATIONSCOREDUPLES.items():\n",
     "    with open(a) as fd:\n",
@@ -81,6 +84,8 @@
     "    for t in ts:\n",
     "        if t in weirdones:\n",
     "            print(nick, t)\n",
+    "        if t in interestingones:\n",
+    "            interestingfiles.append(nick)\n",
     "        allts.append(t) \n",
     "\n",
     "cnt = Counter(allts)\n",
@@ -89,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -98,7 +103,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 45,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -120,6 +125,23 @@
     "sns.barplot(x=list(cnt.keys()), y=list(cnt.values()))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "['abc-op18-no1-1', 'abc-op18-no1-3', 'abc-op18-no2-2', 'abc-op18-no2-2', 'abc-op18-no2-3', 'abc-op18-no3-3', 'abc-op18-no3-4', 'abc-op18-no4-2', 'abc-op18-no4-3', 'abc-op18-no5-1', 'abc-op18-no5-2', 'abc-op18-no6-3', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op59-no1-2', 'abc-op59-no2-1', 'abc-op59-no2-3', 'abc-op59-no3-1', 'abc-op59-no3-2', 'abc-op59-no3-3', 'abc-op74-2', 'abc-op74-3', 'abc-op95-3', 'abc-op95-4', 'abc-op127-1', 'abc-op127-1', 'abc-op127-1', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-4', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-4', 'abc-op130-5', 'abc-op131-2', 'abc-op131-4', 'abc-op131-6', 'abc-op132-2', 'abc-op132-2', 'abc-op132-3', 'abc-op132-3', 'abc-op132-5', 'abc-op135-2', 'abc-op135-3', 'bps-04-op007-1', 'bps-05-op010-no1-1', 'bps-12-op026-1', 'bps-13-op027-no1-1', 'bps-15-op028-pastorale-1', 'bps-18-op031-no3-1', 'bps-22-op054-1', 'bps-25-op079-sonatina-1', 'bps-27-op090-1', 'bps-28-op101-1', 'bps-30-op109-1', 'bps-30-op109-1', 'bps-31-op110-1', 'haydnop20-no1-2', 'haydnop20-no1-3', 'haydnop20-no2-3', 'haydnop20-no2-4', 'haydnop20-no3-2', 'haydnop20-no3-3', 'haydnop20-no4-1', 'haydnop20-no4-3', 'haydnop20-no5-2', 'haydnop20-no5-3', 'haydnop20-no6-1', 'haydnop20-no6-3', 'mps-k279-2', 'mps-k280-1', 'mps-k280-2', 'mps-k280-3', 'mps-k281-2', 'mps-k282-2', 'mps-k283-1', 'mps-k283-3', 'mps-k284-2', 'mps-k284-3', 'mps-k309-2', 'mps-k310-2', 'mps-k311-3', 'mps-k311-3', 'mps-k330-2', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-2', 'mps-k332-1', 'mps-k332-3', 'mps-k333-2', 'mps-k457-3', 'mps-k533-2', 'mps-k545-2', 'mps-k570-1', 'mps-k576-1', 'mps-k576-2', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-b', 'tavern-beethoven-op76-b', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-68-a', 'tavern-beethoven-woo-68-b', 'tavern-beethoven-woo-69-a', 'tavern-beethoven-woo-69-b', 'tavern-beethoven-woo-70-a', 'tavern-beethoven-woo-70-b', 'tavern-beethoven-woo-71-a', 'tavern-beethoven-woo-71-b', 'tavern-beethoven-woo-72-a', 'tavern-beethoven-woo-72-b', 'tavern-beethoven-woo-73-a', 'tavern-beethoven-woo-73-b', 'tavern-beethoven-woo-75-a', 'tavern-beethoven-woo-75-a', 'tavern-beethoven-woo-75-b', 'tavern-beethoven-woo-75-b', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-78-a', 'tavern-beethoven-woo-78-a', 'tavern-beethoven-woo-78-b', 'tavern-beethoven-woo-78-b', 'tavern-beethoven-woo-80-a', 'tavern-beethoven-woo-80-b', 'tavern-mozart-k179-a', 'tavern-mozart-k179-b', 'tavern-mozart-k265-a', 'tavern-mozart-k265-b', 'tavern-mozart-k353-a', 'tavern-mozart-k353-a', 'tavern-mozart-k353-b', 'tavern-mozart-k353-b', 'tavern-mozart-k354-a', 'tavern-mozart-k354-b', 'tavern-mozart-k398-a', 'tavern-mozart-k398-a', 'tavern-mozart-k398-a', 'tavern-mozart-k398-b', 'tavern-mozart-k398-b', 'tavern-mozart-k398-b', 'tavern-mozart-k455-a', 'tavern-mozart-k455-a', 'tavern-mozart-k455-b', 'tavern-mozart-k455-b', 'tavern-mozart-k573-a', 'tavern-mozart-k573-a', 'tavern-mozart-k573-b', 'tavern-mozart-k573-b', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'wir-bach-chorales-1', 'wir-bach-chorales-7', 'wir-bach-chorales-12', 'wir-bach-chorales-17', 'wir-openscore-liedercorpus-chaminade-amoroso', 'wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-4-mayenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-2-ferne', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein', 'wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-06-in-der-ferne', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-08-der-atlas', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-11-die-stadt', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-13-der-doppelganger', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-05-der-lindenbaum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-06-wasserfluth', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-08-ruckblick', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-14-der-greise-kopf', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-16-letzte-hoffnung', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-23-die-nebensonnen', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-24-der-leiermann-spatere-fassung', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-1-ich-stand-in-dunklen-traumen', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-6-die-stille-lotosblume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-04-wenn-ich-in-deine-augen-seh', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es', 'wir-openscore-liedercorpus-schumann-die-gute-nacht', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-1-seit-ich-ihn-gesehen', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-04-das-standchen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-08-nachtzauber', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber', 'wir-variations-and-grounds-purcell-chacony-z730', 'wirwtc-bach-wtc-i-3', 'wirwtc-bach-wtc-i-17', 'wirwtc-bach-wtc-i-18']\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(interestingfiles)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
diff --git a/notebooks/PlotInput.ipynb b/notebooks/PlotInput.ipynb
new file mode 100644
index 00000000..0a5ceb67
--- /dev/null
+++ b/notebooks/PlotInput.ipynb
@@ -0,0 +1,210 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "/home/napulen/AugmentedNet\n"
+     ]
+    }
+   ],
+   "source": [
+    "%cd .."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "plt.rcParams[\"figure.figsize\"] = (10, 5)\n",
+    "\n",
+    "from AugmentedNet.score_parser import parseScore\n",
+    "from AugmentedNet.input_representations import Bass19, Chromagram19, Bass35, Chromagram35"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def _plot_array(arr):\n",
+    "    plt.pcolor(arr.T, edgecolors=\"k\", linewidth=1, cmap=\"tab20\")\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "score = \"langscoreonly-encoding.mxl\"\n",
+    "df = parseScore(score)\n",
+    "df = df.iloc[:48]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bass19 = Bass19(df)\n",
+    "bass35 = Bass35(df)\n",
+    "chroma19 = Chromagram19(df)\n",
+    "chroma35 = Chromagram35(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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nlpXfSAa3Zc4hR2dgyWGtZm974O4MP/pgZi06MPMOP77V7OGtm7Jt9TeTWbOz4OnPaTU7Sbas+Nckic530XkznY+TrfNGOh9L5810Pk62zhvpfKzp6vyk01+Y+Yva/X/Ot994Q7Zv2ZIjTzgphx71lFazv3/Ht7L23tVZcsihefozT241e/Ojj+bOf/uq43w3+8JxrvNddN6s251/LcnenWDVz7cZPkbvbYF/npFh1osysWHWI73bJePcv3P7+ie2uuSgl74pc5Ye+URjHuOeKy7M4LrVWXzKy7P45OWtZq+95vJsvOVTmf/UZ+aQc97aava2NSuy5qqLMnvhkhz6M7/danaSrHr7K5LhIZ2PovNmOm+m82Y6H0vnzXTeTOfNdD7WdHX+mkv/IMuOObbV7IuXn5k1d6/I2T//upx1/pg3mTwhV196ca796FU58bQz8sZ3vr/V7JW335bLzlvuON/NvnCc63wXnTfrdOfvOC8Z2rFX+7byaYYterB3u2iCj7+zdztm/FhKGUhyTJLB7Ho7IwAAAAAdNtOGWaf3bic6fLq2d9s02nxRRq51daNPMgQAAADYN0z7MKuUckopZczzllLOTvJrvW+v3u2+JaWUE0sph++228eTPJTk/FLKc0Y9fn6S3+t9e3lriwcAAACgr1q5ZlYp5dwk5/a+Xda7fX4p5crenx+qtb6l9+d3JjmulHJjktW9bc9M8pLen3+71nrjbk9xXpK/THJVktft3FhrfbSU8oaMDLW+WEr5WJJ1Sc5JckJv+18/wR8PAAAAgBmirQvAn5zktbtte3rvK0lWJdk5zPpIRoZTz03yE0nmJLk/yd8keV+t9YbJPHGt9ZOllDOT/GaSn0kyP8mKJP8jyXtqrXt3aXwAAAAAZpxWhlm11kuSXDLBx34oyYcmmX9lkiv3cP+Xk7xsMpkAAAAAdM9MuwA8AAAAAIzLMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgM0qttd9rmNFKKTclOaXMmZeUdmd/dfvWJDWZPZAye0672Tu2J3UoKbNS5sxrN3t4KBncniQpcxe0mp0kdfuWkWyd78rWeXO2zsfJ1nljvs7HZuu8OVvn42TrvDFf52Ozp6nzuQsWpMxqt/Ptmzen1pqBOXMze267ne/Yui3DQ4OZNXt25syf32r28NBQdmzdmsRx/pjsfeA41/mobJ03Z3e/85trradOdl/DrMexc5jV73UAAAAA7GP2apg1MBUr2Rcd+nN/lDkHHN5q5pq/+o0MrV+TA858XRb98ItbzX74ug9n8+2fz4LjTsvSH/uVVrO3P7gqD/7t25IF++fI17+31ewkuefy1yd1WOej6LyZzpvpvJnOx9J5M50303kznY+l82Y6b6bzZjs7/59/9fc55ClPazX7j37+p/Pg91fllW/9zTz/nJ9uNfvv3vlHufETf5tn/+cfzwW/8wetZq/+zrfzrl/8ecf5bjp9nH/gF5Phwb3a1zBrggYWHZiBxQe1mllmjdQ/a/5+rWfPmjty6nIZmN969tCmh5Mks2cPtJ6dJCklqTofTefNdD5OtM6b6XwMnTfT+TjROm+m8zF03kzn40TrvFmv8/0POjgHHras1ejZAyNvc1u4eP/Ws+cvXJgkmTt/QevZjzz0YBLH+e46f5zvJReABwAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzhjo9wK6YstdX8/2++9uNbNu35wk2b7mu9l0x6JWswfX35skGXr0gWy644aWs9ckSeqOba1njwTXJDp/bLbOm+h8nGidN9N5Q7bOm+h8nGidN9N5Q7bOm+h8nGidN+t1fut11+b7d9zeavTWjRuSJCu/eWu+9ul/bDX7/lUrkyRr713devaDP/h+Esf57rp9nA/v9a6l9v6B0ayUclOSU/q9DgAAAIB9zM211lMnu5MzsyZo1qIDU2bNbjVzaMO6JMMp8xZm1tyF7WZv2ZAMbktmz8nshUtaza5DOzK8+ZGklBx42LJWs5Pk4TX3JUn2P/iQzB5o9xBd/8D9qcPDWbB4ceYv2q/V7E3r12f71i0ZmDsvi5cubTV7aMeOPLr2oSnvfNbCA1Jmt9t554/zlMxefFCr2UkytOGhJDofTefjZOt8nGydN9H5WDofJ1vn42TrvInOx9L5ONk6Hydb5012dr43DLMmaNnP/VHmLD2y1cx7rrgwg+tW58Cz/ksWn7y81ey111yejbd8KguPPyOHnPPWVrO3rVmRNVddlCWHHJo/uf7rrWYnyRue8bQMDQ7mf37077LsmGNbzb54+ZlZc/eKvOqtv5Wzzr+g1eyrL7041370qpz60p/IG9/5/lazV95+Wy47b/mUd77s5//Ycd6z8zifvd+BOepXrmw1O0lWvf0VyfCQzkfReTOdN9N5M52PpfNmOm+m82Y6H0vnzXTeTOfNVr3jvGRox17t6wLwAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ3RyjCrlPLKUsp7Syk3lFIeLaXUUsrV4zz2uFLKb5RSri2l/KCUsr2Ucn8p5R9KKS+e5PMe3Xuu8b4+1sbPBwAAAMDMMNBSzm8leVaSjUlWJzlxD4/93SSvTvKtJJ9Osi7JCUnOSXJOKeW/11rfM8nn//ckn2zY/s1J5gAAAAAwg7U1zPq1jAyxViQ5M8kX9vDYzyb541rrLaM3llLOTPLPSd5eSvnbWut9k3j+b9RaL5nckgEAAADomlbeZlhr/UKt9bu11jqBx165+yCrt/26JF9MMjfJGW2sCwAAAIB9S1tnZrVlR+92cJL7HVFKeWOSg5KsTfKVWuutra4MAAAAgL6bMcOsUsrTkpydZHOS6ye5+4/1vkbnfTHJa2ut35/g8980zl17uv4XAAAAANOolbcZPlGllHlJPppkXpJLaq0PT3DXzRm5oPypSQ7sfe28ZtdZST5fSlnU+oIBAAAA6Iu+n5lVSpmd5CNJXpDkr5O8Y6L71lofSPK23TZfX0p5aZIvJTktyS8l+dMJZJ06zvpuSnLKRNcEAAAAwNTp65lZvUHW1UleleRvklwwkYvIP55a62CSP+99+6InmgcAAADAzNC3YVYpZU6S/5Pk/CR/leTnekOotjzYu/U2QwAAAIB9RF/eZlhKmZuRM7FekeTDSV5fax1u+WlO793e3XIuAAAAAH0y7Wdm9S72/omMDLI+lAkMskopS0opJ5ZSDt9t+ymllDE/Qynl7CS/1vv26nZWDgAAAEC/tXJmVinl3CTn9r5d1rt9finlyt6fH6q1vqX35w8keVmSh5Lck+RtpZTdI79Ya/3iqO/PS/KXSa5K8rpR29+Z5LhSyo1JVve2PTPJS3p//u1a64178zMBAAAAMPO09TbDk5O8drdtT+99JcmqJDuHWcf0bg/O2E8iHO2LE3jej2Rk0PXcJD+RZE6S+zPyFsb31VpvmEAGAAAAAB3RyjCr1npJkksm+Niz9iL/yiRXNmz/UEbeqggAAADAk0DfPs0QAAAAACbLMAsAAACAzjDMAgAAAKAzDLMAAAAA6IxSa+33Gma0UspNSU6Zd+RJKXPmt5q9bfW3Uge3Zc5BT8nsxQe3mr3joR9kaONDmbXogMw95JjH32EShrdtyvb7vpOBOXNzwvNObzU7SW6/8Yak1vzQKc/JvAULW83+7k3/lu1bt+TwY4/L0mWHt5p9713fzcNr7sv+Bx+Sp5xwUqvZWzZsyN233jLlnTvOd9l5nGf2QOY/5UdbzU6SrSu/kUTno+m8mc6b6byZzsfSeTOdN9N5M52PpfNmOm+m82a9zm+utZ462X0Nsx7HzmFWv9cBAAAAsI/Zq2HWwFSsZF+0+DmvyKyFS1rNfPRrn0jduiHzf+i0zDvihFazN3/nq9mx5jsZOORpWXTSma1mD21cl403/99kzrwsef6rW81Okkeu/3ASnY+m82bT0fm8hQvzkxf+aqvZSfL37/rjpNa89PW/nP0OXNpq9uf+4oPZtP7hnHz2j+fpz3p2q9m3/Mvn8r1bb8lRx5+Q5738vFaz1z+wJtdefeWUd+4438XvlmY6b6bzZjofS+fNdN5M5810PpbOm3W68xuuTurwXu1rmDVBi5/9ssxZemSrmZu+eW0Gt27IwmOfm8UnL281e2jD2uxY853MPfjoHPD8n201e9uaFdl48//N7HmLWs9Okke+9NFkeEjno+i82XR0Pn+/xXn5hf+t1ewk+Yf3vCNDg4M56/wLsuyYY1vNvvGTH8+m9Q/nmWe+JGedf0Gr2evvvy/fu/WWHHn8Sa33svL223Lt1VdOeeeO8138bmmm82Y6b6bzsXTeTOfNdN5M52PpvFmnO//y/0mG9m6Y5QLwAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ1hmAUAAABAZxhmAQAAANAZhlkAAAAAdIZhFgAAAACdYZgFAAAAQGcYZgEAAADQGYZZAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ1hmAUAAABAZxhmAQAAANAZhlkAAAAAdIZhFgAAAACdYZgFAAAAQGcYZgEAAADQGQP9XkBXDG1cmzIwp9XMOjyUJBne8mgGH32g3eztW0Zud2xtPXto08Mj2cNDrWc/5nl0/h90Pk72NHQ+PDiYtffe02p2ktTe7foH7s+cefNbzR4a3JEk2bT+4dbXvmXTpiTJti2bW89+9MGRf4ZT3bnjfBe/W8bJ1nkjnT/O8+j8P+h8nGydN9L54zyPzv+DzsfJ7nLntT7+Y8ZR6hPY+cmglHJTklP6vQ4AAACAfczNtdZTJ7uTM7MmqpQkpd3MOrwzvJc/FdlJSsvvJp3K7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7NH5Op+e7N3zJ8kwa4KO+KUPZM7SI1vNvOeKCzO4bnWW/vibsvjk5a1mr73m8my85VNZeNKZOeSct7aavW3Niqy56qLM3m9pjnrTh1vNTpJVb39FMjyk81F03kznzXTeTOdj6byZzpvpvJnOx9J5M50303kznY+l82ad7vwd5yVDO/ZqXxeABwAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOaGWYVUp5ZSnlvaWUG0opj5ZSainl6sfZ54xSyqdLKetKKVtKKbeWUi4qpczei+d/Rinlb0opD5RStpZS7iylXFpKWbD3PxUAAAAAM81ASzm/leRZSTYmWZ3kxD09uJTyiiR/l2Rrkr9Osi7JTyV5V5IXJHnVRJ+4lHJakmuTzEny8SQ/SPKSJG9LcnYp5exa67ZJ/jwAAAAAzEBtvc3w15Icn2T/JP91Tw8speyf5IokQ0nOqrX+Yq31rUlOTvKVJK8spZw/kSftncX1l0kWJnllrfXnaq2/keS0jAzLXtBbGwAAAAD7gFaGWbXWL9Rav1trrRN4+CuTHJLkY7XWr4/K2JqRM7ySxxmIjXJmkpOSXF9r/cdRWcNJ/t/etxeWUsoE8wAAAACYwfpxAfiX9G4/23Df9Uk2JzmjlDLviWTVWu9O8p0kT0vy9L1YJwAAAAAzTFvXzJqME3q339n9jlrrYCnle0l+OCMDqDv2Nqvnuxl5++PxSe7aU1Ap5aZx7joxSTbc9I+ZNX//x1nO5AxveSRJsmXFv2Zow9pWs7fdd2eSZMeD38v6Gz7aavbgxpG1Dm/b3Hp2kqQOJ9H5aDpvpvNmOh+HzsfQeTOdN9P5OHQ+hs6b6byZzseh8zF03qzTnQ8P7fWuZWLvDJxEYClnJflCko/WWi9ouP87SY5LclytdUXD/V9OckaSM2qtX3mc57omyY8l+bFa67803P/RJD+X5Odqrf/ncbL2NMxauKd9AQAAAJi0m2utp052p36cmTUjjVdeb8h1ytzDj08ZmMg7Hydu273fToZ2ZOCAwzN78cGtZu9YtzrDmx7OrPmLM+eQo1vNHt6+OTvuvyuZNTvzjnxGq9lJsu0HtyVJdL6LzpvpfJxsnTfS+Vg7O581MJDjTnluq9lJcufXRv6f1DHPPDlz5y9oNfvuf785O7Zty6FPOzoHHnZ4q9lrvndXHnnwgex3wIE58vg9fkDzpG3dtDGrbr9tyjt3nO/id0sznY+TrfNGOh9L5810Pk62zhtt+8E3k+zdCVb9GGY90rtdMs79O7evn+asPTr45b+eOUuPfKIxj3HPFRdmcN3q7H/az2TxyctbzV57zeXZeMunMv+YU3LIOW9tNXvbmhVZc9VFmb1wSZb93B+2mp0kq97+imR4SOej6LyZzpvpvJnOx9rZ+eKlB+U3rv54q9lJ8oZnPC1Dg4N5w9vfk2XHHNtq9sXLz8yau1dk+S/+15x1/pgTwZ+Qqy+9ONd+9Kr88AvPzBvf+f5Ws1feflsuO2/5lHfuON/F75ZmOm+m82Y6H0vnzXTeTOfNVr3jvGRox17t248LwN/Zuz1+9ztKKQNJjkkymOTuJ5LVc1zvdrxragEAAADQIf0YZl3bu20aR74oI9enurHWuu2JZJVSnp6RIdeqTGwwBgAAAMAM149h1seTPJTk/FLKc3ZuLKXMT/J7vW8vH71DKWVhKeXEUspTd8u6LiOfePiiUso5ox4/K8kf9779QG37KvcAAAAA9EUr18wqpZyb5Nzet8t6t88vpVzZ+/NDtda3JEmt9dFSyhsyMtT6YinlY0nWJTknyQm97X+921M8LyOfkHhdkrN2bqy1DpVSXp+RM7Q+Xkr5eJLvJzk7yXOSfDnJu9r4GQEAAADov7YuAH9yktfutu3pva9k5K1+b9l5R631k6WUM5P8ZpKfSTI/yYok/yPJeyZzJlWt9V9LKc9NcmmSlyZZ3Hu+y5L80QTfrggAAABAB7QyzKq1XpLkkknu8+UkL5vgY7+YpOzh/m8ledVknh8AAACA7unHNbMAAAAAYK8YZgEAAADQGYZZAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ1hmAUAAABAZxhmAQAAANAZhlkAAAAAdIZhFgAAAACdYZgFAAAAQGcYZgEAAADQGYZZAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0Rqm19nsNM1op5aYkp8xauCRl1uxWs4c2rU/qcMq8RZk1Z16r2cNbN6UObksZmJtZ8/drN3toMHXLo0lKZu93YKvZSTK0cV2SROejsnXeSOfjZOu8kc4bsnudl1Ky5JDDWs1OkvUPrEmSLF56UGYPzGk1+9G1D2Z4aCgLFu+feQsWtpq9ecMj2b5lS+bMm59FSw5oNXtwx/ZsfHjdlHfuOB+V7XdLI52Pk63zRjpvyNZ5I52Pk63zRr3Ob661njrZfQ2zHsfOYVa/1wEAAACwj9mrYdbAVKxkX3Twuf8rA/sf2mrmA5/8www/+kD2P/1VWXj8Ga1mP/KvH8+WO7+c+ceckgP+02tazd6+bnXW/d8/SeYvzrKfvazV7CRZ8+H/kaTqfBSdN9N5M5030/lYOm+m82Y6b6bzsXTeTOfNdN5M52PpvFmnO7/6Lcnw0F7ta5g1QXMPOTpzlh7ZauasgbkZTjKw5LDMO/y4VrNnLzxg5DnmL249O6WMPMfAnPazk2TWrGR4SOej6byRzseJ1nkznY+l80Y6Hyda5810PpbOG+l8nGidN9P5WDpv1OnOy6wkezfMcgF4AAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADojIF+L6Artn7/tgw+fF+rmXXHliTJjodWZctdX281e+iRB0ZuN65tPXvH+pEe6uD21rNHgmsSnY+m82Y6Hyda5810PobOm+l8nGidN9P5GDpvpvNxonXeTOdj6LxZtzsf3utdS+39A6NZKeWmJKf0ex0AAAAA+5iba62nTnYnZ2ZNUJm3X8qsdt+VObzl0ZHsgXkpc+a1m71tczI8mMyanVnzFrWaXYeHUrdtSpLMWrB/q9nJqF7mLUqZNXtqsnX+GDofS+fjZOt8z9k6fwydj6XzcbKnqfP9DlzaanaSbHx4XZJk4f5LMmt2u51vXP9wUmvmLliQufMXtJq9ddPGDG7fntkDA1mwuN1jcWhwMFs2jBwvU9m543wXv1vGydb5nrN1/hg6H2u6Ot8bhlkTdPgv/EnmLD2y1cx7rrgwg+tW58Cz35DFJy9vNXvtNZdn4y2fysITXphDznlrq9nb1qzImqsuyuz9luaoN3241ewkWfX2VyTDQzn8F96p8x6dN9N5M5030/lYOm+m82Zd73zJoYflXV+6udXsJHnDM56WocHB/Nbf/lOWHXNsq9kXLz8za+5ekfP/1yU56/wLWs2++tKLc+1Hr8pzlr88b3zn+1vNXnn7bbnsvOVT3rnjfBe/W5rpvJnOm+l8rCnv/B3nJUM79mpfF4AHAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6Iy+DLNKKa8rpdTH+RqaYNbKPWSsmeqfBQAAAIDpM9Cn5/1GkkvHue8/JXlJks9MIu+RJO9u2L5xUqsCAAAAYEbryzCr1vqNjAy0xiilfKX3xz+bROT6WuslT2xVAAAAAMx0M+qaWaWUH01yepJ7knyqz8sBAAAAYIbp19sMx/PLvdsP1VondM2snnmllAuSPDXJpiS3Jrl+khkAAAAAzHAzZphVSlmQ5IIkQ0n+fJK7L0vykd22fa+U8vpa63UTfP6bxrnrxEmuBQAAAIApMpPeZvizSQ5I8tla6w8msd9fJjk7IwOtRUl+NMkHkxyd5DOllGe1u0wAAAAA+mXGnJmVXW8x/OBkdqq17v6piN9McmEpZWOSX09ySZLzJpBzatP23hlbp0xmTQAAAABMjRlxZlYp5YeTnJFkdZJPtxT7gd7ti1rKAwAAAKDPZsQwK3t/4fc9ebB3u6ilPAAAAAD6rO/DrFLK/CSvyciF3z/UYvTpvdu7W8wEAAAAoI/6PsxK8qokByb5zHgXfi+lzCmlnFhKOXa37SeVUsaceVVKOTrJ+3rfXt3yegEAAADok5lwAfidbzH8sz085sgkdyRZlZFPKdzp1Ul+vZRyfe++DUmOTfKTSeZn5Ppb72h5vQAAAAD0SV+HWaWUk5K8MHt/4fcvJDkhybOTvCAj18dan+RLST6S5CO11trKYgEAAADou74Os2qtdyQpE3jcyqbH1VqvS3Jd+ysDAAAAYCaaCdfMAgAAAIAJMcwCAAAAoDMMswAAAADoDMMsAAAAADqj+LC/PSul3JTklPlHPzuz5i5oNXvL925J3bElcw87NgNLDms1e9sDd2Vo/f2ZvfjgzDv8+Fazh7duzNbv35rMnpOFxz631ewk2fydrySp0fkuOm+m82Y6b6bzsXTeTOfNut75wNx5edaLz241O0luvuYzqbXmh194ZuYvWtRq9je/dF22bdqUpz7jR3LIU57aavb3v3V7HvzBqhy47PA8/VnPbjV78yOP5I6vfnnKO3ec7+J3SzOdN9N5M52PNU2d31xrPXWy+xpmPY6dw6x+rwMAAABgH7NXw6yBqVjJvmjRj/znzFqwX6uZG2/959RtmzLvqc/K3MOOaTV7y8pbMvjgqgwccEQWHPe8VrOHNq3P5m99MRmYm8XPflmr2Umy4d8+mUTno+m8mc6b6byZzsfSeTOdN9N5M52PpfNm09H53Pnz8+L/5xdazU6Sz115RVJrXvAzr85++y9pNfv6j38sWzY8mpOe/8I89cRntJp9+403ZPWdd+TQo4/Js1/8Y61mP/LQQ/nqP/39lHfuON/Fcd6sy8f5NVf9eerw8F7ta5g1QUue/6rMWXpkq5lb7vp6BrdtyqKT/lMWn7y81ey111yejQ+uytzDj8vSl/xSq9nb1qzI5m99MbPn79d6dpJsuOmfkuEhnY+i82Y6b6bzZjofS+fNdN5M5810PpbOm01H5wv2X5JX/6/faTU7Sf7lI3+RocHB/OQvvynLjjm21ex/v+7abNnwaJ77Ez+Vs86/oNXsqy+9OKvvvCPH/MizWu9l5e235av/9PdT3rnjfBfHebMuH+ef/+iVGdy+fa/2dQF4AAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADojIF+L6ArhrdtzvDWje2G1uGRmx3bWs+ug9tH/jC0o/3sbVtGbutw+52MovNR2TpvjtZ5M53vkc5HZeu8OVrnzXS+Rzofla3z5ujp6Hx4OJsffaTV7NG2bNzYen4dGkqSbN+6pfXsHdtGOh/csb317K0bR/4ZTnXnjvNR2Y7zRp0+zuve71pqfQJ7PwmUUm5Kckq/1wEAAACwj7m51nrqZHfyNkMAAAAAOsPbDCfoDz53fZYdc2yrmRcvPzNr7l6RX7jsj3PW+Re0mn31pRfn2o9eldNefm7e+M73t5q98vbbctl5yzN7v6U56k0fbjU7SVa9/RXJ8FCOeMMHM2fpka1m33PFhRlctzpLf/zNWXzy8laz115zeTbe8qksPOnMHHLOW1vN3rZmRdZcddGUd+4438Vx3sxx3sxx3sxxPpbjvJnjvJnjvJnOx9J5M50303kznY815Z2/47xkaMde7evMLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADojL4Ns0opK0spdZyvNZPMOqqU8hellHtLKdt62e8upRw4VesHAAAAYPoN9Pn5H0ny7obtGycaUEo5NsmNSQ5N8g9Jvp3keUn+e5LlpZQX1FrXPvGlAgAAANBv/R5mra+1XvIEM/6/jAyyfrXW+t6dG0sp70zya0l+P8mFT/A5AAAAAJgBOn3NrN5ZWS9NsjLJ+3e7+3eSbErymlLKomleGgAAAABToN9nZs0rpVyQ5KkZGTzdmuT6WuvQBPd/ce/2mlrr8Og7aq0bSilfzsiw6/Qkn29pzQAAAAD0Sb+HWcuSfGS3bd8rpby+1nrdBPY/oXf7nXHu/25GhlnH5wkOs274+MeyeOlBTyRijE3rH06S3P7l67J104QvEzYhq771zSTJfXd9N5/90AdazV635t4kyfD2LXnkX/++1ewkSa1Jko23XpNZC5a0Gj28ZUOSZOv3bs7wts2tZm+//64kyY61P2i9l6ENDyWZ+s4d57s4zps5zps5zsfhOB/Dcd7Mcd7McT4OnY+h82Y6b6bzceh8jCnvfHii5zGNVWrvH9h0K6X8TpIbktyeZEOSpyd5c5JfTrI1yfNrrf/+OBl/luQNSd5Qa/3zhvt/P8nFSS6utf7h42TdNM5dJyZZuOefBgAAAIBJurnWeupkd+rbmVm11kt32/TNJBeWUjYm+fUklyQ5b7rXNZ6Bg5+aWbPntpq5/cGVyfBgZi8+OLMXHtBq9o5H7k/duiFl7sLMOfCIVrOHB7dmcO3qpMzK3EOf3mp2kmy/f0USnY+m82Y6Hydb5410PpbOm+l8nGydN9L5WNPV+ZHHnZA58+a1mv2DO7+doR3bs3TZEdn/4INbzX7onh9k48MPZ8F+i3PY0ce0mr1ty5bcd9d3Hee72ReOc53vovNm+0Lne6PfbzNs8oGMDLNeNIHHPtK7He8cwJ3b1z9e0HiTwN4ZW6ccet5vZs7SIyewpIm754oLM7hudZaccX4Wn7y81ey111yejbd8KguOfW4OOeetrWZvW7Mia666KLMXHZDDX/fuVrOTZNXbX5EMD0Xnu+i8mc6b6byZzsfSeTOdN9N5M52PNV2dv+l9V2TZMce2mn3x8jOz5u4Vefmv/Pecdf4FrWZffenFufajV+WZZ52dN75z98+uemJW3n5bLjtvueN8N/vCca7zXXTerNOdv+O8ZGjHXu07Ez/N8MHe7UQ+gfDO3u3x49x/XO92vGtqAQAAANAhM3GYdXrv9u4JPPYLvduXllIe87OUUhYneUGSzUm+2t7yAAAAAOiXvgyzSiknlVLGnHlVSjk6yft63149avucUsqJpZTHnEdca70ryTVJjk7ypt3iLs3I2V0fqbVuam/1AAAAAPRLv66Z9eokv15KuT7Jqox8muGxSX4yyfwkn07yjlGPPzLJHb3HHr1b1q8kuTHJe0opZ/ced1qSF2fk7YW/OWU/BQAAAADTql/DrC8kOSHJszPyVsBFGblI+5eSfCQjZ1PViQTVWu8qpTwnyWVJlid5WZL7kvxpkktrrQ+3vnoAAAAA+qIvw6xa63VJrpvE41cmKXu4/wdJXv/EVwYAAADATDYTLwAPAAAAAI0MswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6o9Ra+72GGa2UclOSUwaWHJbMntNq9uD6+5LhocxadEBmzduv1eyhTQ+nbtuUMndBZu93UKvZdXBbhh59MCmzMnDgEa1mJ8ngutVJEp3vovNmOh8nW+eNdD6WzpvpfJxsnTfS+VjT1fnBRz01A3Pa7fzBH3w/Q4M7sv/Bh2Th4v1bzX7koQezZcOjmb9ovxxw6GGtZm/ftjXr7r3Hcb6bfeE41/kuOm+2D3R+c6311Mnua5j1OHYOs/q9DgAAAIB9zF4NswamYiX7oqUvfVNm739wq5lrP/u+DG9cm/2e/ZNZcOxzWs3ecPOns/Xuf8vcI384S57/ylazdzx8X9Z//s+yYPH+eeOfvK/V7CR59xtfl9Th/MJlf5ylyw5vNfvKt/1G1q+5Ly/5+dflmWe+pNXsa//qqtz6xc/nuOc8Lz/5y29uNfv+76/M//m9t015547zXXYe55m7MIec89ZWs5PkwY9flqTqfBSdN9N5M5030/lYOm+m82Y6b6bzsaarc38n2mXn34kc54/V6eP8738vGR7aq30NsyZo/tOemTlLj2w18+G5CzKcZO6hx2Thsc9tNXvLXV9Pkgzsf3Dr2dvWrEiSzF2wIM886+xWs5Nk9uxZGRoczomnPT/Ljjm21ez5CxclSY464aTW137rdZ9PkixddkTr2Stvvy3J1HfuON9l53E+e+781rOTJLNmJcNDOh9F58103kzn49D5GDpvpvNmOh+HzseYrs79nWiXnX8ncpw/VqeP8zIryd4Ns1wAHgAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOmOg3wvoiu1rVmRo8yOtZtbBbUmSwYfvzdbV32o1e2jjuiTJ8OZHWs/esXb1yHNs357v3vRvrWYnSa01SbLy9tuyYd26VrN3bN2SJHng+ytbX/v6Bx5IkmxYt7b17PvuXpFk6jt3nO+y8zivQ4OtZ48E63x3Om+m83Gidd5M52PovJnOx4nWeTOdjzFdnfs70S47/07kOH+sbh/nw3u9a9n5l1ialVJuSnJKv9cBAAAAsI+5udZ66mR3cmbWBJU585NSWs2s20cm4pk9kDJ7TrvZO7aNTDnLrJQ589rNHhpKhrYnScrcBa1mJ7t6KXPmJaXdd8LqfJx8nY/NHtX5/EWLWs1Okq2bNiVJ5i5YkFmz2u18Z/bAnLkZmNtu59u3bs3w0FBmzZqVuQvaPRaHBoeyY9vWJFPbueN8VLbfLc3ZOt9jts53y9f52GydN2frfI/ZOt8tX+djs3XenL0PdL43DLMm6PDX/WnmLD2y1cx7rrgwg+tWZ+l/vjCLT17eavbaay7Pxls+lYUn/qcccs5bW83etmZF1lx1UWbvtzRHvenDrWYnyaq3vyIZHsrhr3uPznt03mw6Ol9y6GF515dubjU7Sd7wjKdlaHAwl3zyc1l2zLGtZl+8/MysuXtFfu63fzdnnX9Bq9lXX3pxrv3oVXnuy87JG9/5/lazV95+Wy47b/mUd+4438XvlmY6b6bzZjofS+fNdN5M5810PpbOm3W683eclwzt2Kt9XQAeAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDP6MswqpRxUSvmlUsonSikrSilbSimPlFK+VEr5xVLKhNdVSllZSqnjfK2Zyp8DAAAAgOk10KfnfVWSy5Pcl+QLSb6f5LAkP53kz5P8RCnlVbXWOsG8R5K8u2H7xie+VAAAAABmin4Ns76T5Jwkn6q1Du/cWEq5OMnXkvxMRgZbfzfBvPW11kvaXiQAAAAAM0tf3mZYa7221vpPowdZve1rknyg9+1Z074wAAAAAGa0fp2ZtSc7ereDk9hnXinlgiRPTbIpya1Jrq+1DrW9OAAAAAD6Z0YNs0opA0l+offtZyex67IkH9lt2/dKKa+vtV43wee+aZy7TpzEOgAAAACYQn15m+Ee/FGSH0ny6Vrr5ya4z18mOTsjA61FSX40yQeTHJ3kM6WUZ03BOgEAAADogxlzZlYp5VeT/HqSbyd5zUT3q7Veutumbya5sJSysZd3SZLzJpBz6jjruinJKRNdDwAAAABTZ0acmVVKeXOSP03yrSQvrrWuayF254XkX9RCFgAAAAAzQN+HWaWUi5K8NyNnVL2494mGbXiwd7uopTwAAAAA+qyvw6xSym8keVeSb2RkkPVAi/Gn927vbjETAAAAgD7q2zCrlPLbGbng+01Jzq61PrSHx84ppZxYSjl2t+0nlVLGnHlVSjk6yft6317d3qoBAAAA6Ke+XAC+lPLaJJclGUpyQ5JfLaXs/rCVtdYre38+MskdSVZl5FMKd3p1kl8vpVzfu29DkmOT/GSS+Uk+neQdU/JDAAAAADDt+vVphsf0bmcnuWicx1yX5MrHyflCkhOSPDvJCzJyfaz1Sb6U5CNJPlJrrU9sqQAAAADMFH0ZZtVaL0lyySQevzLJmFO3aq3XZWToBQAAAMCTQN8/zRAAAAAAJsowCwAAAIDOMMwCAAAAoDMMswAAAADojOLD/vaslHJTklMWHP/8zJq7qNXszd+5MXX75sw74sQMLD2q1ext996RwXX3ZGDJYZn3lB9tNXtoy6PZetfXUgbmZuGJL2o1O0k2ffPzSWp0vovOm01H53Pmzc/zfvKcVrOT5MZP/G1qrTnlx34iCxYvbjX75ms+ky0bN+TYZ5+aZccc22r2XbfclDXfuysHH/XUnPC801vN3vjww/n3L/zzlHfuON/F75ZmOm+m82Y6H0vnzXTeTOfNdD6Wzpt1uvPbP5/UenOt9dTJ7muY9Th2DrP6vQ4AAACAfcxeDbMGpmIl+6IFx5+RWfMWtpq56dtfTnZsydwjTsicg57SavbW1Xdk6OF7Mnv/QzL/ac9qNXt486PZctfXktlzsugZZ7aanSSbbvuXJDofTefNdD5Ots4b6XysnZ0PzJ2X03/qvFazk+RLf/exJMmpL31ZFizev9Xsr3/u/2brxo059uRTcvixx7ea/d2bv5b7v3d3DjriqJz0/Be2mr3x4XX5xrXXTHnnjvNd/G5ppvNxsnXeSOdj6byZzsfJ1nmjTd/8fLKXJ1gZZk3QgWe+NnOWHtlq5rZ7vp3Bdauz34/+WBafvLzV7LXXXJ6ND9+TeUc+Iwe/7KJWs7etWZEtd30tsxcsbj07STbd/oVkeEjno+i8mc6b6byZzsfa2fmiAw7If/nDP2k1O0m+8g8fz9DgYH7m1/9n6295XXHL17Nm44q84KdfnbPOv6DV7KsvvTj3f+/u/NApz2m9l5W335ZvXHvNlHfuON/F75ZmOm+m82Y6H0vnzXTeTOfNNn3rumRox17t6wLwAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ1hmAUAAABAZxhmAQAAANAZhlkAAAAAdIZhFgAAAACdYZgFAAAAQGcYZgEAAADQGYZZAAAAAHSGYRYAAAAAnWGYBQAAAEBnGGYBAAAA0BmGWQAAAAB0hmEWAAAAAJ1hmAUAAABAZxhmAQAAANAZhlkAAAAAdIZhFgAAAACdYZgFAAAAQGcYZgEAAADQGQP9XkBnDA+nDg+1HFp7Nx3LrsO92zoF6x5F56OidT7t2Tqf/mydT3/2qM6Hh6au8+Gh4fbza+3dtJ9dd2YPT0H2zn+GU9y543x0tN8t056t8+nP1vn0Z+t8+rN1Pv3ZU9553es9y87/YKNZKeWmJKf0ex0AAAAA+5iba62nTnYnbzMEAAAAoDO8zXCCjnjDBzNn6ZGtZt5zxYUZXLc6S3/8zVl88vJWs9dec3k23vKpLDzpzBxyzltbzd62ZkXWXHVRZu+3NEe96cOtZifJqre/Ihke0vkoOm+m82Y6b6bzsXTeTOfNut75kkMPy7u+dHOr2Unyhmc8LUODg/mDz12fZccc22r2xcvPzJq7V+QXLvvjnHX+Ba1mX33pxbn2o1fltJefmze+8/2tZq+8/bZcdt7yKe/ccb6L3y3NdN5M5810PtaUd/6O85KhHXu1rzOzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6Iy+DrNKKUeVUv6ilHJvKWVbKWVlKeXdpZQDJ5mztLffyl7Ovb3co6Zq7QAAAABMv4F+PXEp5dgkNyY5NMk/JPl2kucl+e9JlpdSXlBrXTuBnIN6OccnuTbJx5KcmOT1SX6ylPL8WuvdU/NTAAAAADCd+nlm1v+XkUHWr9Zaz621/s9a60uSvCvJCUl+f4I5f5CRQdY7a61n93LOzchQ7NDe8wAAAACwD+jLMKt3VtZLk6xM8v7d7v6dJJuSvKaUsuhxcvZL8pre4y/Z7e73JVmV5MdLKU9/4qsGAAAAoN/69TbDF/dur6m1Do++o9a6oZTy5YwMu05P8vk95JyeZEEvZ8NuOcOllM8l+eXe8z2htxpuuuP6zF40qUt5Pa7hbRuTJNt+8M1Wc5Nkx0OrkiSD6+/Nhm98ttXswUcfSJIMb9/aenaSpNYkOh9N58103kzn49D5GDpvpvNmXe98++bN+eLHrm41O0mGh0f+U/Zrn/7H7H/QIa1mb370kSTJd77+r63mJsnq796ZJHlg1crWe1l33z1Jpr5zx/kufrc003kznY9D52NMeefDQ3u9a6m9f2DTqZTy9iRvSfKWWuufNNz/viRvSvIrtdbL95DzpoycgfW+Wut/a7j/LUnenuR/11p/43HWdNM4dz0ryew97QsAAADApK2rtR402Z36dWbWkt7tI+Pcv3P7AdOUsyezkgwl+fcnkAFMnRN7t9/u6yqAJl6fMLN5jcLM5fXJk8HRSR7dmx379mmGM02t9dSm7TvP2BrvfqC/vEZh5vL6hJnNaxRmLq9P2LN+fZrhzjOmloxz/87t66cpBwAAAIAO6Ncw687e7fHj3H9c7/Y705QDAAAAQAf0a5j1hd7tS0spj1lDKWVxkhck2Zzkq4+T89UkW5K8oLff6JxZGflExNHPBwAAAECH9WWYVWu9K8k1GbnY15t2u/vSJIuSfKTWumnnxlLKiaWUE0c/sNa6MclHeo+/ZLecN/fyP1drvbvF5QMAAADQJ/28APyvJLkxyXtKKWcnuSPJaUlenJG3Bf7mbo+/o3dbdtt+cZKzkvyPUsrJSb6W5KQkr0jyQMYOywAAAADoqFJr7d+Tl/KUJJclWZ7koCT3JflEkktrrQ/v9tiaJLXW3YdZKaUsTfI7Sc5NcniStUk+k+RttdbVU/gjAAAAADCN+jrMAgAAAIDJ6NcF4AEAAABg0gyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMOscZRSjiql/EUp5d5SyrZSyspSyrtLKQf2e23wZFBKeWUp5b2llBtKKY+WUmop5erH2eeMUsqnSynrSilbSim3llIuKqXMnq51w5NBKeWgUsovlVI+UUpZ0Xu9PVJK+VIp5RdLKY3/feE1CtOjlPLHpZTPl1J+0HutrSul3FJK+Z1SykHj7OP1CX1SSrmg99+6tZTyS+M85uWllC/2/n27sZTyr6WU1073WmGmKLXWfq9hximlHJvkxiSHJvmHJN9O8rwkL05yZ5IX1FrX9m+FsO8rpXwjybOSbEyyOsmJST5aa71gnMe/IsnfJdma5K+TrEvyU0lOSPLxWuurpmHZ8KRQSrkwyeVJ7kvyhSTfT3JYkp9OsiQjr8VX1VH/keE1CtOnlLI9yc1JvpXkgSSLkpye5DlJ7k1yeq31B6Me7/UJfVJKeUqS25LMTrJfkjfUWv98t8e8Ocl7k6zNyGt0e5JXJjkqyZ/UWt8yrYuGGcAwq0Ep5XNJXprkV2ut7x21/Z1Jfi3JB2utF/ZrffBkUEp5cUaGWCuSnJmRvzA3DrNKKfv3HrckI8Pmr/e2z09ybZLnJ/l/aq0fm6blwz6tlPKSjPzl+FO11uFR25cl+VqSpyR5Za3173rbvUZhGpVS5tdatzZs//0kFye5vNb6K71tXp/QJ6WUkuSfkxyT5O+TvCW7DbNKKUdn5OSKTUlOrbWu7G0/MMm/JTk2yRm11q9M6+Khz7zNcDe9s7JemmRlkvfvdvfvZOSXyGtKKYumeWnwpFJr/UKt9bt1YhP3VyY5JMnHdv5HeC9ja5Lf6n37X6dgmfCkVGu9ttb6T6MHWb3ta5J8oPftWaPu8hqFadQ0yOr5m97tcaO2eX1C//xqkpckeX1G/p7Z5L8kmZfkfTsHWUlSa304yR/0vnWiBU86hlljvbh3e03Df6RvSPLlJAszcqo2MDO8pHf72Yb7rk+yOckZpZR507ckeNLa0bsdHLXNaxRmhp/q3d46apvXJ/RBKeWkJH+U5E9rrdfv4aF7eo1+ZrfHwJOGYdZYJ/RuvzPO/d/t3R4/DWsBJmbc122tdTDJ95IMJHn6dC4KnmxKKQNJfqH37ej/6PYahT4opbyllHJJKeVdpZQbkvxuRgZZfzTqYV6fMM16/778SEauOXnx4zx8T6/R+zJyRtdRpZSFrS4SZriBfi9gBlrSu31knPt3bj9g6pcCTJDXLcwMf5TkR5J8utb6uVHbvUahP96SkQ9n2OmzSV5Xa31w1DavT5h+b0vy7CQvrLVueZzHTuQ1uqj3uM3tLA9mPmdmAQBPWCnlV5P8ekYuUvuaPi8HSFJrXVZrLUmWZeTTRp+e5JZSyin9XRk8eZVSTsvI2Vh/4qLtsPcMs8baOfFeMs79O7evn/qlABPkdQt91PvI8D9N8q0kL661rtvtIV6j0Ee11vtrrZ/IyIccHZTkw6Pu9vqEadJ7e+GHM/KWwd+e4G4TfY2Od+YW7JMMs8a6s3c73jWxdn76y3jX1AKm37iv295/NByTkYtR3z2di4Ing1LKRUnem+SbGRlkrWl4mNcozAC11lUZGTr/cCnl4N5mr0+YPvtl5LV2UpKtpZS68yvJ7/Qec0Vv27t73+/pNXp4Rt5iuLrW6i2GPKkYZo31hd7tS0spj+mnlLI4yQsy8l7kr073woBxXdu7Xd5w34sy8gmkN9Zat03fkmDfV0r5jSTvSvKNjAyyHhjnoV6jMHMc0bsd6t16fcL02ZbkQ+N83dJ7zJd63+98C+KeXqM/sdtj4EnDMGs3tda7klyT5Ogkb9rt7kszMvn+SK110zQvDRjfx5M8lOT8Uspzdm4spcxP8nu9by/vx8JgX1VK+e2MXPD9piRn11of2sPDvUZhmpRSji+ljHk7UillVinl95McmpHh1MO9u7w+YZrUWrfUWn+p6SvJP/YedlVv21/3vv/LjAzB3lxKOXpnVinlwOz6JMQPTNfPADNFqbX2ew0zTinl2CQ3ZuRf9v+Q5I4kpyV5cUbeXnhGrXVt/1YI+75SyrlJzu19uyzJj2fkLQ439LY9VGt9y26P/3iSrUk+lmRdknMy8nHGH0/ys9UvPGhFKeW1Sa7MyJkd703zdTpW1lqvHLXPufEahSnXe+vvH2bk7I7vJVmbkU80PDMjF4Bfk5EB9LdG7XNuvD6hr0opl2TkrYZvqLX++W73/bck78nI6/mvk2xP8sokR2XkQvJvCTzJGGaNo5TylCSXZeR0zoOS3JfkE0kuHfV/soApMupf6ONZVWs9erd9XpDkN5M8P8n8JCuS/EWS99Rah8YkAHtlAq/PJLmu1nrWbvt5jcIUK6X8SJILk7wwI3/RPSDJpoz8D9lPZeT1tvuHNHh9Qp/taZjVu/+nkrwlySkZeYfVt5K8r9Z61XSuE2YKwywAAAAAOsM1swAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6AzDLAAAAAA6wzALAAAAgM4wzAIAAACgMwyzAAAAAOgMwywAAAAAOsMwCwAAAIDOMMwCAAAAoDMMswAAAADoDMMsAAAAADrDMAsAAACAzjDMAgAAAKAzDLMAAAAA6Iz/H/Ol099soXIQAAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 601
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(bass19.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 306,
+       "width": 592
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(bass35.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 302,
+       "width": 601
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(chroma19.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 720x360 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 306,
+       "width": 592
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "_plot_array(chroma35.array)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3.8.10 ('.env': venv)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.10"
+  },
+  "orig_nbformat": 4,
+  "vscode": {
+   "interpreter": {
+    "hash": "a52a358eae3e51af662b02193f9bc7647da22fcd152427ee064e67420f0b729e"
+   }
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From cc702a761ce3fb1e819f9d49eaf14ca458af38a7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 23:13:23 -0400
Subject: [PATCH 08/22] Updating texturize_example.

---
 misc/texturize_example.py | 57 ++++++++++++++++++++++++++++++++-------
 1 file changed, 47 insertions(+), 10 deletions(-)

diff --git a/misc/texturize_example.py b/misc/texturize_example.py
index 0ed6f77e..f3fe265a 100644
--- a/misc/texturize_example.py
+++ b/misc/texturize_example.py
@@ -1,30 +1,67 @@
-from common import ANNOTATIONSCOREDUPLES
-from score_parser import (
+import random
+
+import music21
+
+from AugmentedNet.common import ANNOTATIONSCOREDUPLES
+from AugmentedNet.score_parser import (
     _m21Parse,
     _initialDataFrame,
     _texturizeAnnotationScore,
 )
-from score_parser import parseAnnotationAsScore
-import music21
+from AugmentedNet.score_parser import parseAnnotationAsScore
 
 
-def _engraveScore(df):
+interesting = [
+    "abc-op18-no1-1",
+    "bps-22-op054-1",
+    "bps-25-op079-sonatina-1",
+    "haydnop20-no2-3",
+    "haydnop20-no4-1",
+    "tavern-beethoven-woo-69-b",
+    "tavern-beethoven-woo-70-a",
+    "tavern-beethoven-woo-70-b",
+    "tavern-beethoven-woo-71-a",
+    "wir-bach-chorales-12",
+    "wir-bach-chorales-17",
+    "wir-openscore-liedercorpus-chaminade-amoroso",
+    "wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen",
+    "wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne",
+    "wir-openscore-liedercorpus-schubert-winterreise-d-911-05-der-lindenbau",
+]
+
+
+def _engraveScore(df, ts):
     """Useful for debugging _texturizeAnnotationScore."""
     chords = music21.stream.Stream()
+    offset = 0.0
     for row in df.itertuples():
+        if offset in ts:
+            chords.append(music21.meter.TimeSignature(ts[offset]))
         if row.s_measure == 0:
+            offset += row.s_duration
             continue
         pitches = row.s_notes
         duration = row.s_duration
         chord = music21.chord.Chord(pitches, quarterLength=duration)
         chords.append(chord)
+        offset += duration
     return chords
 
 
-f = "bps-01-op002-no1-1"
-
-annotation, score = ANNOTATIONSCOREDUPLES[f]
+def get_ts(score):
+    s = music21.converter.parse(score)
+    tss = {
+        ts.offset: ts.ratioString
+        for ts in s.flat.getElementsByClass("TimeSignature")
+    }
+    return tss
 
-df = parseAnnotationAsScore(annotation, texturize=True, eventBased=True)
 
-_engraveScore(df).show()
+if __name__ == "__main__":
+    random.shuffle(interesting)
+    nickname = interesting[0]
+    print(nickname)
+    annotation, score = ANNOTATIONSCOREDUPLES[nickname]
+    tss = get_ts(score)
+    df = parseAnnotationAsScore(annotation, texturize=True, eventBased=True)
+    _engraveScore(df, tss).show()

From 71c6e4cc195528a4a29eccf968459ca802f05651 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Wed, 22 Jun 2022 19:06:36 -0400
Subject: [PATCH 09/22] Adding Duration14 as a default input representation.

---
 AugmentedNet/cli.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/AugmentedNet/cli.py b/AugmentedNet/cli.py
index 66c1325d..b0cb0c59 100644
--- a/AugmentedNet/cli.py
+++ b/AugmentedNet/cli.py
@@ -31,7 +31,7 @@ class DefaultArguments(object):
         "dataAugmentation": True,
         "collections": ["bps"],
         "testCollections": ["bps"],
-        "inputRepresentations": ["Bass19", "Chromagram19"],
+        "inputRepresentations": ["Bass19", "Chromagram19", "Duration14"],
         "outputRepresentations": [
             "Alto35",
             "Bass35",

From 720e2c45ba3fc6519f7f13936f1fe6f71d1f2367 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Wed, 22 Jun 2022 19:15:57 -0400
Subject: [PATCH 10/22] Abstracting (annotation, score) pairs to
 getAnnotationScoreDataset

---
 AugmentedNet/common.py        | 10 ++--------
 AugmentedNet/data/__init__.py | 16 ++++++++++++++++
 2 files changed, 18 insertions(+), 8 deletions(-)

diff --git a/AugmentedNet/common.py b/AugmentedNet/common.py
index ee68ef26..c8e44f12 100644
--- a/AugmentedNet/common.py
+++ b/AugmentedNet/common.py
@@ -1,6 +1,6 @@
 """Common hardcoded variables throughout the code."""
 
-from .data import available_collections
+from .data import getAnnotationScoreDataset
 
 # Number of decimals to the right of the decimal point
 FLOATSCALE = 4
@@ -11,10 +11,4 @@
 
 DATASETSUMMARYFILE = "dataset_summary.tsv"
 
-ANNOTATIONSCOREDUPLES = {}
-DATASPLITS = {"training": [], "validation": [], "test": []}
-
-for module in available_collections.values():
-    ANNOTATIONSCOREDUPLES.update(module.annotation_score_duples)
-    for split in DATASPLITS:
-        DATASPLITS[split].extend(module.splits[split])
+ANNOTATIONSCOREDUPLES, DATASPLITS = getAnnotationScoreDataset()
diff --git a/AugmentedNet/data/__init__.py b/AugmentedNet/data/__init__.py
index 1e18f43f..2813b001 100644
--- a/AugmentedNet/data/__init__.py
+++ b/AugmentedNet/data/__init__.py
@@ -9,3 +9,19 @@
     "wir": wir,
     "wirwtc": wirwtc,
 }
+
+
+def getAnnotationScoreDataset(collections=[]):
+    """Return the available (annotation, score) pairs in the dataset."""
+    allCollections = list(available_collections.keys())
+    collections = collections or allCollections
+    duples = {}
+    splits = {"training": [], "validation": [], "test": []}
+    for collection in collections:
+        if collection not in allCollections:
+            raise KeyError()
+        module = available_collections[collection]
+        duples.update(module.annotation_score_duples)
+        for split in splits:
+            splits[split].extend(module.splits[split])
+    return duples, splits

From 6b3cceb9c7842147d1b591590231aa30dc9c14c7 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Wed, 22 Jun 2022 19:44:56 -0400
Subject: [PATCH 11/22] Renaming LocalKey38 and TonicizedKey38.

---
 AugmentedNet/cli.py                              |  4 ++--
 AugmentedNet/inference.py                        |  4 ++--
 AugmentedNet/output_representations.py           |  8 ++++----
 AugmentedNet/train.py                            | 12 ++++++------
 misc/evaluate_batch.py                           |  4 ++--
 notebooks/AugmentedNet.ipynb                     | 12 ++++++------
 notebooks/DebuggingResults.ipynb                 |  6 +++---
 notebooks/MeterDistribution.ipynb                | 14 +++++++-------
 .../{haydnLocalKey35.out => haydnLocalKey38.out} |  0
 ...onicizedKey35.out => haydnTonicizedKey38.out} |  0
 test/test_output_representations.py              | 16 ++++++++--------
 11 files changed, 40 insertions(+), 40 deletions(-)
 rename test/auxiliary_files/output_representations/{haydnLocalKey35.out => haydnLocalKey38.out} (100%)
 rename test/auxiliary_files/output_representations/{haydnTonicizedKey35.out => haydnTonicizedKey38.out} (100%)

diff --git a/AugmentedNet/cli.py b/AugmentedNet/cli.py
index b0cb0c59..1a0172a4 100644
--- a/AugmentedNet/cli.py
+++ b/AugmentedNet/cli.py
@@ -39,14 +39,14 @@ class DefaultArguments(object):
             # "ChordRoot35",
             "HarmonicRhythm7",
             # "Inversion4",
-            "LocalKey35",
+            "LocalKey38",
             "PitchClassSet121",
             # "PrimaryDegree22",
             "RomanNumeral31",
             # "SecondaryDegree22",
             "Soprano35",
             "Tenor35",
-            "TonicizedKey35",
+            "TonicizedKey38",
         ],
         "sequenceLength": 640,
         "scrutinizeData": False,
diff --git a/AugmentedNet/inference.py b/AugmentedNet/inference.py
index e3129e1e..55d854f1 100644
--- a/AugmentedNet/inference.py
+++ b/AugmentedNet/inference.py
@@ -177,8 +177,8 @@ def predict(model, inputPath):
         if not notes:
             continue
         bass = sorted(notes, key=lambda n: n[1])[0][0]
-        thiskey = analysis.LocalKey35
-        tonicizedKey = analysis.TonicizedKey35
+        thiskey = analysis.LocalKey38
+        tonicizedKey = analysis.TonicizedKey38
         pcset = analysis.PitchClassSet121
         rn2, chordLabel = resolveRomanNumeral(
             analysis.Bass35,
diff --git a/AugmentedNet/output_representations.py b/AugmentedNet/output_representations.py
index c1f13aa6..3ee641ec 100644
--- a/AugmentedNet/output_representations.py
+++ b/AugmentedNet/output_representations.py
@@ -142,13 +142,13 @@ class SecondaryDegree22(OutputRepresentationTI):
     dfFeature = "a_degree2"
 
 
-class LocalKey35(OutputRepresentation):
+class LocalKey38(OutputRepresentation):
     classList = KEYS
     dfFeature = "a_localKey"
     transpositionFn = staticmethod(TransposeKey)
 
 
-class TonicizedKey35(OutputRepresentation):
+class TonicizedKey38(OutputRepresentation):
     classList = KEYS
     dfFeature = "a_tonicizedKey"
     transpositionFn = staticmethod(TransposeKey)
@@ -180,10 +180,10 @@ class PitchClassSet121(OutputRepresentation):
     "ChordRoot35": ChordRoot35,
     "HarmonicRhythm7": HarmonicRhythm7,
     "Inversion4": Inversion4,
-    "LocalKey35": LocalKey35,
+    "LocalKey38": LocalKey38,
     "PitchClassSet121": PitchClassSet121,
     "PrimaryDegree22": PrimaryDegree22,
     "RomanNumeral31": RomanNumeral31,
     "SecondaryDegree22": SecondaryDegree22,
-    "TonicizedKey35": TonicizedKey35,
+    "TonicizedKey38": TonicizedKey38,
 }
diff --git a/AugmentedNet/train.py b/AugmentedNet/train.py
index 7fb5bd1f..2ef31045 100644
--- a/AugmentedNet/train.py
+++ b/AugmentedNet/train.py
@@ -163,14 +163,14 @@ def evaluate(modelHdf5, X_test, y_true):
         summary["Degree"] = df.Degree.mean().round(3)
         print(f"Degree: {summary['Degree']}")
     if (
-        "LocalKey35" in df
+        "LocalKey38" in df
         and "ChordQuality11" in df
         and "ChordRoot35" in df
         and "Inversion4" in df
         and "Degree" in df
     ):
         df["RomanNumeral"] = (
-            df.LocalKey35
+            df.LocalKey38
             & df.ChordQuality11
             & df.ChordRoot35
             & df.Inversion4
@@ -179,9 +179,9 @@ def evaluate(modelHdf5, X_test, y_true):
         summary["RomanNumeral"] = df.RomanNumeral.mean().round(3)
         print(f"RomanNumeral: {summary['RomanNumeral']}")
     # The alternative approach proposed in Napoles Lopez et al. (2021)
-    if "RomanNumeral31" in df and "LocalKey35" in df and "Inversion4" in df:
+    if "RomanNumeral31" in df and "LocalKey38" in df and "Inversion4" in df:
         df["AltRomanNumeral"] = (
-            df.RomanNumeral31 & df.LocalKey35 & df.Inversion4
+            df.RomanNumeral31 & df.LocalKey38 & df.Inversion4
         )
         summary["AltRomanNumeral"] = df.AltRomanNumeral.mean().round(3)
         print(f"AltRomanNumeral: {summary['AltRomanNumeral']}")
@@ -191,10 +191,10 @@ def evaluate(modelHdf5, X_test, y_true):
         and "Tenor35" in df
         and "Alto35" in df
         and "Soprano35" in df
-        and "LocalKey35" in df
+        and "LocalKey38" in df
     ):
         df["satbRomanNumeral"] = (
-            df.Bass35 & df.Tenor35 & df.Alto35 & df.Soprano35 & df.LocalKey35
+            df.Bass35 & df.Tenor35 & df.Alto35 & df.Soprano35 & df.LocalKey38
         )
         summary["satbRomanNumeral"] = df.satbRomanNumeral.mean().round(3)
         print(f"satbRomanNumeral: {summary['satbRomanNumeral']}")
diff --git a/misc/evaluate_batch.py b/misc/evaluate_batch.py
index d712aef0..63935fa1 100644
--- a/misc/evaluate_batch.py
+++ b/misc/evaluate_batch.py
@@ -13,7 +13,7 @@
 
 
 OUTPUTS = [
-    "LocalKey35",
+    "LocalKey38",
     "ChordQuality15",
     "Inversion4",
     "ChordRoot35",
@@ -50,7 +50,7 @@ def evaluate(modelHdf5, X_test, y_true):
     # Some custom features
     df["Degree"] = df.PrimaryDegree22 & df.SecondaryDegree22
     df["RomanNumeral"] = (
-        df.LocalKey35
+        df.LocalKey38
         & df.ChordQuality15
         & df.ChordRoot35
         & df.Inversion4
diff --git a/notebooks/AugmentedNet.ipynb b/notebooks/AugmentedNet.ipynb
index 10393d8e..a1073fdf 100644
--- a/notebooks/AugmentedNet.ipynb
+++ b/notebooks/AugmentedNet.ipynb
@@ -138,12 +138,12 @@
             "Alto35 (1, 640, 35)\n",
             "Bass35 (1, 640, 35)\n",
             "HarmonicRhythm7 (1, 640, 7)\n",
-            "LocalKey35 (1, 640, 38)\n",
+            "LocalKey38 (1, 640, 38)\n",
             "PitchClassSet121 (1, 640, 121)\n",
             "RomanNumeral31 (1, 640, 31)\n",
             "Soprano35 (1, 640, 35)\n",
             "Tenor35 (1, 640, 35)\n",
-            "TonicizedKey35 (1, 640, 38)\n",
+            "TonicizedKey38 (1, 640, 38)\n",
             "/home/napulen/AugmentedNet-Copy/notebooks/AugmentedNet/AugmentedNet/inference.py:55: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
             "  return df.dropna()[df.HarmonicRhythm7 == 0]\n",
             "Composer: J.S. Bach\n",
@@ -216,12 +216,12 @@
               "      <th>Alto35</th>\n",
               "      <th>Bass35</th>\n",
               "      <th>HarmonicRhythm7</th>\n",
-              "      <th>LocalKey35</th>\n",
+              "      <th>LocalKey38</th>\n",
               "      <th>PitchClassSet121</th>\n",
               "      <th>RomanNumeral31</th>\n",
               "      <th>Soprano35</th>\n",
               "      <th>Tenor35</th>\n",
-              "      <th>TonicizedKey35</th>\n",
+              "      <th>TonicizedKey38</th>\n",
               "      <th>offset</th>\n",
               "      <th>measure</th>\n",
               "    </tr>\n",
@@ -398,7 +398,7 @@
               "</div>"
             ],
             "text/plain": [
-              "     Unnamed: 0 Alto35 Bass35  HarmonicRhythm7 LocalKey35 PitchClassSet121  \\\n",
+              "     Unnamed: 0 Alto35 Bass35  HarmonicRhythm7 LocalKey38 PitchClassSet121  \\\n",
               "0             0      E      A                0          A        (1, 4, 9)   \n",
               "1             1      E      A                1          A        (1, 4, 9)   \n",
               "2             2      E      A                2          A        (1, 4, 9)   \n",
@@ -411,7 +411,7 @@
               "638         638    C--    C--                6          A     (0, 1, 5, 8)   \n",
               "639         639    C--    C--                6          A     (0, 1, 5, 8)   \n",
               "\n",
-              "    RomanNumeral31 Soprano35 Tenor35 TonicizedKey35  offset  measure  \n",
+              "    RomanNumeral31 Soprano35 Tenor35 TonicizedKey38  offset  measure  \n",
               "0                I         A      C#              A   0.000      0.0  \n",
               "1                I         A      C#              A   0.125      0.0  \n",
               "2                I         A      C#              A   0.250      0.0  \n",
diff --git a/notebooks/DebuggingResults.ipynb b/notebooks/DebuggingResults.ipynb
index 5d615c75..1afa0181 100644
--- a/notebooks/DebuggingResults.ipynb
+++ b/notebooks/DebuggingResults.ipynb
@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "metrics = ['LocalKey35', 'PrimaryDegree22', 'SecondaryDegree22', 'ChordQuality15', 'Inversion4', 'ChordRoot35']\n",
+    "metrics = ['LocalKey38', 'PrimaryDegree22', 'SecondaryDegree22', 'ChordQuality15', 'Inversion4', 'ChordRoot35']\n",
     "df6t[\"simultaneousCorrect\"] = 0\n",
     "df6tsynth[\"simultaneousCorrect\"] = 0\n",
     "for metric in metrics:\n",
@@ -61,7 +61,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "LocalKey35 - 6t: 0.978, 6tsynth: 0.9\n",
+      "LocalKey38 - 6t: 0.978, 6tsynth: 0.9\n",
       "PrimaryDegree22 - 6t: 0.697, 6tsynth: 0.746\n",
       "SecondaryDegree22 - 6t: 0.948, 6tsynth: 0.938\n",
       "ChordQuality15 - 6t: 0.672, 6tsynth: 0.726\n",
@@ -71,7 +71,7 @@
     }
    ],
    "source": [
-    "# metrics = ['LocalKey35', 'Degree', 'ChordQuality15', 'Inversion4', 'ChordRoot35', 'RomanNumeral']\n",
+    "# metrics = ['LocalKey38', 'Degree', 'ChordQuality15', 'Inversion4', 'ChordRoot35', 'RomanNumeral']\n",
     "samples = 2000\n",
     "for metric in metrics:\n",
     "    print(f\"{metric} - 6t: {df6t[metric][:samples].mean().round(3)}, 6tsynth: {df6tsynth[metric][:samples].mean().round(3)}\")"
diff --git a/notebooks/MeterDistribution.ipynb b/notebooks/MeterDistribution.ipynb
index bf9535ec..e30e462a 100644
--- a/notebooks/MeterDistribution.ipynb
+++ b/notebooks/MeterDistribution.ipynb
@@ -19,7 +19,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
    "source": [
     "allts = []\n",
     "weirdones = [\"9/4\", \"3/2\", \"7/4\", \"11/4\", \"12/4\", \"19/8\", \"13/8\", \"4/16\", \"12/16\"]\n",
-    "interestingones = [\"3/4\", \"6/8\", \"3/8\"]\n",
+    "interestingones = [\"6/8\", \"3/8\"]\n",
     "\n",
     "interestingfiles = []\n",
     "\n",
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -103,7 +103,7 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 47,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -127,14 +127,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['abc-op18-no1-1', 'abc-op18-no1-3', 'abc-op18-no2-2', 'abc-op18-no2-2', 'abc-op18-no2-3', 'abc-op18-no3-3', 'abc-op18-no3-4', 'abc-op18-no4-2', 'abc-op18-no4-3', 'abc-op18-no5-1', 'abc-op18-no5-2', 'abc-op18-no6-3', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op59-no1-2', 'abc-op59-no2-1', 'abc-op59-no2-3', 'abc-op59-no3-1', 'abc-op59-no3-2', 'abc-op59-no3-3', 'abc-op74-2', 'abc-op74-3', 'abc-op95-3', 'abc-op95-4', 'abc-op127-1', 'abc-op127-1', 'abc-op127-1', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-3', 'abc-op127-4', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-1', 'abc-op130-4', 'abc-op130-5', 'abc-op131-2', 'abc-op131-4', 'abc-op131-6', 'abc-op132-2', 'abc-op132-2', 'abc-op132-3', 'abc-op132-3', 'abc-op132-5', 'abc-op135-2', 'abc-op135-3', 'bps-04-op007-1', 'bps-05-op010-no1-1', 'bps-12-op026-1', 'bps-13-op027-no1-1', 'bps-15-op028-pastorale-1', 'bps-18-op031-no3-1', 'bps-22-op054-1', 'bps-25-op079-sonatina-1', 'bps-27-op090-1', 'bps-28-op101-1', 'bps-30-op109-1', 'bps-30-op109-1', 'bps-31-op110-1', 'haydnop20-no1-2', 'haydnop20-no1-3', 'haydnop20-no2-3', 'haydnop20-no2-4', 'haydnop20-no3-2', 'haydnop20-no3-3', 'haydnop20-no4-1', 'haydnop20-no4-3', 'haydnop20-no5-2', 'haydnop20-no5-3', 'haydnop20-no6-1', 'haydnop20-no6-3', 'mps-k279-2', 'mps-k280-1', 'mps-k280-2', 'mps-k280-3', 'mps-k281-2', 'mps-k282-2', 'mps-k283-1', 'mps-k283-3', 'mps-k284-2', 'mps-k284-3', 'mps-k309-2', 'mps-k310-2', 'mps-k311-3', 'mps-k311-3', 'mps-k330-2', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-2', 'mps-k332-1', 'mps-k332-3', 'mps-k333-2', 'mps-k457-3', 'mps-k533-2', 'mps-k545-2', 'mps-k570-1', 'mps-k576-1', 'mps-k576-2', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-b', 'tavern-beethoven-op76-b', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-68-a', 'tavern-beethoven-woo-68-b', 'tavern-beethoven-woo-69-a', 'tavern-beethoven-woo-69-b', 'tavern-beethoven-woo-70-a', 'tavern-beethoven-woo-70-b', 'tavern-beethoven-woo-71-a', 'tavern-beethoven-woo-71-b', 'tavern-beethoven-woo-72-a', 'tavern-beethoven-woo-72-b', 'tavern-beethoven-woo-73-a', 'tavern-beethoven-woo-73-b', 'tavern-beethoven-woo-75-a', 'tavern-beethoven-woo-75-a', 'tavern-beethoven-woo-75-b', 'tavern-beethoven-woo-75-b', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-78-a', 'tavern-beethoven-woo-78-a', 'tavern-beethoven-woo-78-b', 'tavern-beethoven-woo-78-b', 'tavern-beethoven-woo-80-a', 'tavern-beethoven-woo-80-b', 'tavern-mozart-k179-a', 'tavern-mozart-k179-b', 'tavern-mozart-k265-a', 'tavern-mozart-k265-b', 'tavern-mozart-k353-a', 'tavern-mozart-k353-a', 'tavern-mozart-k353-b', 'tavern-mozart-k353-b', 'tavern-mozart-k354-a', 'tavern-mozart-k354-b', 'tavern-mozart-k398-a', 'tavern-mozart-k398-a', 'tavern-mozart-k398-a', 'tavern-mozart-k398-b', 'tavern-mozart-k398-b', 'tavern-mozart-k398-b', 'tavern-mozart-k455-a', 'tavern-mozart-k455-a', 'tavern-mozart-k455-b', 'tavern-mozart-k455-b', 'tavern-mozart-k573-a', 'tavern-mozart-k573-a', 'tavern-mozart-k573-b', 'tavern-mozart-k573-b', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-a', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'tavern-mozart-k613-b', 'wir-bach-chorales-1', 'wir-bach-chorales-7', 'wir-bach-chorales-12', 'wir-bach-chorales-17', 'wir-openscore-liedercorpus-chaminade-amoroso', 'wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-4-mayenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-2-ferne', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-holmes-les-heures-4-lheure-dazur', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein', 'wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-06-in-der-ferne', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-08-der-atlas', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-11-die-stadt', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-13-der-doppelganger', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-05-der-lindenbaum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-06-wasserfluth', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-08-ruckblick', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-14-der-greise-kopf', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-16-letzte-hoffnung', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-23-die-nebensonnen', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-24-der-leiermann-spatere-fassung', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-1-ich-stand-in-dunklen-traumen', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-6-die-stille-lotosblume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-04-wenn-ich-in-deine-augen-seh', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-14-allnachtlich-im-traume', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es', 'wir-openscore-liedercorpus-schumann-die-gute-nacht', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-1-seit-ich-ihn-gesehen', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-04-das-standchen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-08-nachtzauber', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber', 'wir-variations-and-grounds-purcell-chacony-z730', 'wirwtc-bach-wtc-i-3', 'wirwtc-bach-wtc-i-17', 'wirwtc-bach-wtc-i-18']\n"
+      "['abc-op18-no3-4', 'abc-op18-no4-2', 'abc-op18-no5-1', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op59-no1-2', 'abc-op59-no2-1', 'abc-op59-no3-2', 'abc-op74-2', 'abc-op95-4', 'abc-op127-4', 'abc-op130-4', 'abc-op131-2', 'abc-op131-4', 'abc-op132-3', 'abc-op132-3', 'abc-op135-3', 'bps-04-op007-1', 'bps-12-op026-1', 'bps-13-op027-no1-1', 'bps-28-op101-1', 'haydnop20-no1-3', 'haydnop20-no2-4', 'haydnop20-no5-3', 'haydnop20-no6-1', 'mps-k280-2', 'mps-k280-3', 'mps-k281-2', 'mps-k283-3', 'mps-k311-3', 'mps-k311-3', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k332-3', 'mps-k576-1', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-b', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-70-a', 'tavern-beethoven-woo-70-b', 'tavern-beethoven-woo-71-a', 'tavern-beethoven-woo-71-b', 'tavern-beethoven-woo-73-a', 'tavern-beethoven-woo-73-b', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-76-b', 'tavern-mozart-k353-a', 'tavern-mozart-k353-a', 'tavern-mozart-k353-b', 'tavern-mozart-k353-b', 'tavern-mozart-k455-a', 'tavern-mozart-k455-a', 'tavern-mozart-k455-b', 'tavern-mozart-k455-b', 'wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein', 'wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber', 'wirwtc-bach-wtc-i-3', 'wirwtc-bach-wtc-i-18']\n"
      ]
     }
    ],
diff --git a/test/auxiliary_files/output_representations/haydnLocalKey35.out b/test/auxiliary_files/output_representations/haydnLocalKey38.out
similarity index 100%
rename from test/auxiliary_files/output_representations/haydnLocalKey35.out
rename to test/auxiliary_files/output_representations/haydnLocalKey38.out
diff --git a/test/auxiliary_files/output_representations/haydnTonicizedKey35.out b/test/auxiliary_files/output_representations/haydnTonicizedKey38.out
similarity index 100%
rename from test/auxiliary_files/output_representations/haydnTonicizedKey35.out
rename to test/auxiliary_files/output_representations/haydnTonicizedKey38.out
diff --git a/test/test_output_representations.py b/test/test_output_representations.py
index 70fee1a1..c4104f54 100644
--- a/test/test_output_representations.py
+++ b/test/test_output_representations.py
@@ -10,12 +10,12 @@
     Bass35,
     Inversion4,
     RomanNumeral31,
-    LocalKey35,
+    LocalKey38,
     PrimaryDegree22,
     SecondaryDegree22,
     ChordQuality11,
     ChordRoot35,
-    TonicizedKey35,
+    TonicizedKey38,
     HarmonicRhythm7,
     PitchClassSet121,
 )
@@ -102,9 +102,9 @@ class TestHarmonicRhythm7(TestBass35):
     dfFeature = "a_harmonicRhythm"
 
 
-class TestTonicizedKey35(TestBass35):
-    clas = TonicizedKey35
-    encodingGT = aux.haydnTonicizedKey35
+class TestTonicizedKey38(TestBass35):
+    clas = TonicizedKey38
+    encodingGT = aux.haydnTonicizedKey38
     dfFeature = "a_tonicizedKey"
 
 
@@ -135,9 +135,9 @@ class TestRomanNumeral31(TestBass35):
     dfFeature = "a_romanNumeral"
 
 
-class TestLocalKey35(TestBass35):
-    clas = LocalKey35
-    encodingGT = aux.haydnLocalKey35
+class TestLocalKey38(TestBass35):
+    clas = LocalKey38
+    encodingGT = aux.haydnLocalKey38
     dfFeature = "a_localKey"
 
 

From 375cc5aba768e903763c9cbde56d771b6f3f7833 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 11:00:09 -0400
Subject: [PATCH 12/22] Renaming MeasureNoteOnset14 and introducing
 intermediate representations.

---
 AugmentedNet/cli.py                           |   2 +-
 AugmentedNet/input_representations.py         | 142 ++++++------------
 notebooks/thesis/Ch5-LowestNoteEncoding.ipynb |   4 +-
 ... => haydnMeasureNoteOnset14DecodedGT.json} |   0
 ...14GT.out => haydnMeasureNoteOnset14GT.out} |   0
 test/test_input_representations.py            |  14 +-
 6 files changed, 54 insertions(+), 108 deletions(-)
 rename test/auxiliary_files/input_representations/{haydnDuration14DecodedGT.json => haydnMeasureNoteOnset14DecodedGT.json} (100%)
 rename test/auxiliary_files/input_representations/{haydnDuration14GT.out => haydnMeasureNoteOnset14GT.out} (100%)

diff --git a/AugmentedNet/cli.py b/AugmentedNet/cli.py
index 1a0172a4..225ba66d 100644
--- a/AugmentedNet/cli.py
+++ b/AugmentedNet/cli.py
@@ -31,7 +31,7 @@ class DefaultArguments(object):
         "dataAugmentation": True,
         "collections": ["bps"],
         "testCollections": ["bps"],
-        "inputRepresentations": ["Bass19", "Chromagram19", "Duration14"],
+        "inputRepresentations": ["Bass19", "Chromagram19", "MeasureNoteOnset14"],
         "outputRepresentations": [
             "Alto35",
             "Bass35",
diff --git a/AugmentedNet/input_representations.py b/AugmentedNet/input_representations.py
index e8ef9d4f..62e0185d 100644
--- a/AugmentedNet/input_representations.py
+++ b/AugmentedNet/input_representations.py
@@ -18,96 +18,12 @@
     FeatureRepresentationTI,
 )
 
-# NOTENAMEDEFAULTCLASS = {
-#     "C": 0,
-#     "D": 2,
-#     "E": 4,
-#     "F": 5,
-#     "G": 7,
-#     "A": 9,
-#     "B": 11,
-# }
-# def _solvePitchSpelling(noteNames, pitchClasses):
-#     if len(noteNames) != len(pitchClasses):
-#         raise Exception
-#     if not noteNames:
-#         return
-#     elif len(noteNames) == 1:
-#     note = noteNames[0]
-#     default = NOTENAMEDEFAULTCLASS[note]
-#     bestMatch = 999999
-#     for pc in pitchClasses:
-#         diff = pc -
-
-
-class Duration14(FeatureRepresentationTI):
-    features = 2 * len(NOTEDURATIONS)
-    pattern = [
-        [1, 0, 0, 0, 0, 0, 0],
-        [0, 1, 0, 0, 0, 0, 0],
-        [0, 0, 1, 0, 0, 0, 0],
-        [0, 1, 1, 0, 0, 0, 0],
-        [0, 0, 0, 1, 0, 0, 0],  # eight
-        [0, 1, 0, 1, 0, 0, 0],
-        [0, 0, 1, 1, 0, 0, 0],
-        [0, 1, 1, 1, 0, 0, 0],
-        [0, 0, 0, 0, 1, 0, 0],  # quarter
-        [0, 1, 0, 0, 1, 0, 0],
-        [0, 0, 1, 0, 1, 0, 0],
-        [0, 1, 1, 0, 1, 0, 0],
-        [0, 0, 0, 1, 1, 0, 0],
-        [0, 1, 0, 1, 1, 0, 0],
-        [0, 0, 1, 1, 1, 0, 0],
-        [0, 1, 1, 1, 1, 0, 0],
-        [0, 0, 0, 0, 0, 1, 0],  # half
-        [0, 1, 0, 0, 0, 1, 0],
-        [0, 0, 1, 0, 0, 1, 0],
-        [0, 1, 1, 0, 0, 1, 0],
-        [0, 0, 0, 1, 0, 1, 0],
-        [0, 1, 0, 1, 0, 1, 0],
-        [0, 0, 1, 1, 0, 1, 0],
-        [0, 1, 1, 1, 0, 1, 0],
-        [0, 0, 0, 0, 1, 1, 0],
-        [0, 1, 0, 0, 1, 1, 0],
-        [0, 0, 1, 0, 1, 1, 0],
-        [0, 1, 1, 0, 1, 1, 0],
-        [0, 0, 0, 1, 1, 1, 0],
-        [0, 1, 0, 1, 1, 1, 0],
-        [0, 0, 1, 1, 1, 1, 0],
-        [0, 1, 1, 1, 1, 1, 0],
-        [0, 0, 0, 0, 0, 0, 1],  # whole
-        [0, 1, 0, 0, 0, 0, 1],
-        [0, 0, 1, 0, 0, 0, 1],
-        [0, 1, 1, 0, 0, 0, 1],
-        [0, 0, 0, 1, 0, 0, 1],
-        [0, 1, 0, 1, 0, 0, 1],
-        [0, 0, 1, 1, 0, 0, 1],
-        [0, 1, 1, 1, 0, 0, 1],
-        [0, 0, 0, 0, 1, 0, 1],
-        [0, 1, 0, 0, 1, 0, 1],
-        [0, 0, 1, 0, 1, 0, 1],
-        [0, 1, 1, 0, 1, 0, 1],
-        [0, 0, 0, 1, 1, 0, 1],
-        [0, 1, 0, 1, 1, 0, 1],
-        [0, 0, 1, 1, 1, 0, 1],
-        [0, 1, 1, 1, 1, 0, 1],
-        [0, 0, 0, 0, 0, 1, 1],
-        [0, 1, 0, 0, 0, 1, 1],
-        [0, 0, 1, 0, 0, 1, 1],
-        [0, 1, 1, 0, 0, 1, 1],
-        [0, 0, 0, 1, 0, 1, 1],
-        [0, 1, 0, 1, 0, 1, 1],
-        [0, 0, 1, 1, 0, 1, 1],
-        [0, 1, 1, 1, 0, 1, 1],
-        [0, 0, 0, 0, 1, 1, 1],
-        [0, 1, 0, 0, 1, 1, 1],
-        [0, 0, 1, 0, 1, 1, 1],
-        [0, 1, 1, 0, 1, 1, 1],
-        [0, 0, 0, 1, 1, 1, 1],
-        [0, 1, 0, 1, 1, 1, 1],
-        [0, 0, 1, 1, 1, 1, 1],
-        [0, 1, 1, 1, 1, 1, 1],
-    ]
+
+class MeasureOnset7(FeatureRepresentationTI):
+    features = len(NOTEDURATIONS)
+    pattern = [list(reversed(f"{x:06b}0")) for x in range(64)]
+    pattern = [[int(n) for n in arr] for arr in pattern]
+    pattern[0][0] = 1
 
     def run(self, transposition=None):
         array = np.zeros(self.shape, dtype=self.dtype)
@@ -118,14 +34,30 @@ def run(self, transposition=None):
                 idx = 0
                 prev_measure = measure
             pattern = self.pattern[idx]
-            array[frame, 0:7] = pattern
+            array[frame] = pattern
             idx = min(idx + 1, len(self.pattern) - 1)
+        return array
+
+    @classmethod
+    def decode(cls, array):
+        if len(array.shape) != 2 or array.shape[1] != cls.features:
+            raise IndexError("Strange array shape.")
+        ret = []
+        for manyhot in array:
+            measureOnset = [NOTEDURATIONS[x] for x in np.nonzero(manyhot)[0]]
+            ret.append(measureOnset)
+        return ret
+
+
+class NoteOnset7(MeasureOnset7):
+    def run(self, transposition=None):
+        array = np.zeros(self.shape, dtype=self.dtype)
         idx = 0
         for frame, onset in enumerate(self.df.s_isOnset):
             if sum(onset) > 0:
                 idx = 0
             pattern = self.pattern[idx]
-            array[frame, 7:] = pattern
+            array[frame] = pattern
             idx = min(idx + 1, len(self.pattern) - 1)
         return array
 
@@ -135,14 +67,28 @@ def decode(cls, array):
             raise IndexError("Strange array shape.")
         ret = []
         for manyhot in array:
-            measureOnset = [
-                NOTEDURATIONS[x] for x in np.nonzero(manyhot[:7])[0]
-            ]
-            noteOnset = [NOTEDURATIONS[x] for x in np.nonzero(manyhot[7:])[0]]
-            ret.append((tuple(measureOnset), tuple(noteOnset)))
+            noteOnset = [NOTEDURATIONS[x] for x in np.nonzero(manyhot)[0]]
+            ret.append(noteOnset)
         return ret
 
 
+class MeasureNoteOnset14(FeatureRepresentationTI):
+    features = MeasureOnset7.features + NoteOnset7.features
+    pattern = MeasureOnset7.pattern
+
+    def run(self, transposition=None):
+        self.measure7 = MeasureOnset7(self.df).run(transposition)
+        self.note7 = NoteOnset7(self.df).run(transposition)
+        array = np.concatenate((self.measure7, self.note7), axis=1)
+        return array
+
+    @classmethod
+    def decode(cls, array):
+        measure7 = MeasureOnset7.decode(array[:, : MeasureOnset7.features])
+        note7 = NoteOnset7.decode(array[:, NoteOnset7.features :])
+        return [(tuple(mm), tuple(n)) for mm, n in zip(measure7, note7)]
+
+
 class Bass19(FeatureRepresentation):
     features = len(NOTENAMES) + len(PITCHCLASSES)
 
@@ -371,7 +317,7 @@ def decode(cls, array):
     "Bass35": Bass35,
     "Chromagram19": Chromagram19,
     "Chromagram35": Chromagram35,
-    "Duration14": Duration14,
+    "MeasureNoteOnset14": MeasureNoteOnset14,
     "Intervals39": Intervals39,
     "Intervals19": Intervals19,
     "BassChromagram38": BassChromagram38,
diff --git a/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb b/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
index 6bdf83fb..53a65cff 100644
--- a/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
+++ b/notebooks/thesis/Ch5-LowestNoteEncoding.ipynb
@@ -31,7 +31,7 @@
     "plt.rcParams[\"figure.figsize\"] = (15, 5)\n",
     "\n",
     "from AugmentedNet.score_parser import parseScore\n",
-    "from AugmentedNet.input_representations import Bass19, Chromagram19, Bass35, Chromagram35, Duration14"
+    "from AugmentedNet.input_representations import Bass19, Chromagram19, Bass35, Chromagram35, MeasureNoteOnset14"
    ]
   },
   {
@@ -66,7 +66,7 @@
     "bass35 = Bass35(df)\n",
     "chroma19 = Chromagram19(df)\n",
     "chroma35 = Chromagram35(df)\n",
-    "duration14 = Duration14(df)"
+    "duration14 = MeasureNoteOnset14(df)"
    ]
   },
   {
diff --git a/test/auxiliary_files/input_representations/haydnDuration14DecodedGT.json b/test/auxiliary_files/input_representations/haydnMeasureNoteOnset14DecodedGT.json
similarity index 100%
rename from test/auxiliary_files/input_representations/haydnDuration14DecodedGT.json
rename to test/auxiliary_files/input_representations/haydnMeasureNoteOnset14DecodedGT.json
diff --git a/test/auxiliary_files/input_representations/haydnDuration14GT.out b/test/auxiliary_files/input_representations/haydnMeasureNoteOnset14GT.out
similarity index 100%
rename from test/auxiliary_files/input_representations/haydnDuration14GT.out
rename to test/auxiliary_files/input_representations/haydnMeasureNoteOnset14GT.out
diff --git a/test/test_input_representations.py b/test/test_input_representations.py
index f7259ce3..c3d423f5 100644
--- a/test/test_input_representations.py
+++ b/test/test_input_representations.py
@@ -10,7 +10,7 @@
     BassChromagram38,
     BassChromagram70,
     BassIntervals58,
-    Duration14,
+    MeasureNoteOnset14,
     Intervals19,
 )
 from AugmentedNet.joint_parser import J_LISTTYPE_COLUMNS
@@ -39,7 +39,7 @@ def _save(arr):
     np.savetxt("tmp.txt", arr, fmt="%i", delimiter=" ")
 
 
-class TestDuration14(unittest.TestCase):
+class TestMeasureNoteOnset14(unittest.TestCase):
     def setUp(self):
         self.maxDiff = None
         self.df = _load_dfgt(aux.haydn)
@@ -47,8 +47,8 @@ def setUp(self):
         self.transpositions = ["m2", "M6", "P5", "d7"]
 
     def test_encoding(self):
-        encoding = Duration14(self.df).array
-        encodingGT = np.loadtxt(aux.haydnDuration14GT, dtype="i1")
+        encoding = MeasureNoteOnset14(self.df).array
+        encodingGT = np.loadtxt(aux.haydnMeasureNoteOnset14GT, dtype="i1")
         for timestep in range(self.timesteps):
             with self.subTest(timestep=timestep):
                 ar = np.nonzero(encoding[timestep])
@@ -56,9 +56,9 @@ def test_encoding(self):
                 self.assertEqual(tuple(ar[0]), tuple(arGT[0]))
 
     def test_decoding(self):
-        encoding = Duration14(self.df).array
-        decoded = Duration14.decode(encoding)
-        decodedGT = aux.haydnDuration14DecodedGT
+        encoding = MeasureNoteOnset14(self.df).array
+        decoded = MeasureNoteOnset14.decode(encoding)
+        decodedGT = aux.haydnMeasureNoteOnset14DecodedGT
         decodedGT = [(tuple(t[0]), tuple(t[1])) for t in decodedGT]
         for timestep in range(self.timesteps):
             with self.subTest(timestep=timestep):

From 0bc8a23c453297a9dd015f4de3e260ad8aeb5d6a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 11:11:26 -0400
Subject: [PATCH 13/22] Adding more options for experiment names

---
 AugmentedNet/cli.py | 16 ++++++++++++++--
 1 file changed, 14 insertions(+), 2 deletions(-)

diff --git a/AugmentedNet/cli.py b/AugmentedNet/cli.py
index 225ba66d..bc764fff 100644
--- a/AugmentedNet/cli.py
+++ b/AugmentedNet/cli.py
@@ -31,7 +31,11 @@ class DefaultArguments(object):
         "dataAugmentation": True,
         "collections": ["bps"],
         "testCollections": ["bps"],
-        "inputRepresentations": ["Bass19", "Chromagram19", "MeasureNoteOnset14"],
+        "inputRepresentations": [
+            "Bass19",
+            "Chromagram19",
+            "MeasureNoteOnset14",
+        ],
         "outputRepresentations": [
             "Alto35",
             "Bass35",
@@ -183,7 +187,15 @@ def train():
     parser = ArgumentParser(description=train_description, parents=parents)
     parser.add_argument(
         "experiment_name",
-        choices=["testset", "validationset", "prototyping", "debug"],
+        choices=[
+            "local",
+            "computecanada",
+            "colab",
+            "ablation",
+            "validationset",
+            "testset",
+            "debug",
+        ],
         help="A short name for this experiment.",
     )
     parser.add_argument(

From db37cc5cfd80f12ce354255f22fc63488ed7b23e Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 13:22:15 -0400
Subject: [PATCH 14/22] Reverse logic of transposition arg.

---
 AugmentedNet/cli.py                   | 6 +++---
 AugmentedNet/dataset_npz_generator.py | 8 ++++----
 2 files changed, 7 insertions(+), 7 deletions(-)

diff --git a/AugmentedNet/cli.py b/AugmentedNet/cli.py
index bc764fff..692c5ff9 100644
--- a/AugmentedNet/cli.py
+++ b/AugmentedNet/cli.py
@@ -28,7 +28,7 @@ class DefaultArguments(object):
     npz = {
         "synthetic": False,
         "texturizeEachTransposition": False,
-        "dataAugmentation": True,
+        "noTransposition": False,
         "collections": ["bps"],
         "testCollections": ["bps"],
         "inputRepresentations": [
@@ -121,9 +121,9 @@ def npz(is_parent_parser=False):
         help="Include training files from a specific corpus/collection.",
     )
     parser.add_argument(
-        "--dataAugmentation",
+        "--noTransposition",
         action="store_true",
-        help="Perform data augmentation on the training set.",
+        help="Disable transposition data augmentation on the training set.",
     )
     parser.add_argument(
         "--inputRepresentations",
diff --git a/AugmentedNet/dataset_npz_generator.py b/AugmentedNet/dataset_npz_generator.py
index f5a55412..3f8afa53 100644
--- a/AugmentedNet/dataset_npz_generator.py
+++ b/AugmentedNet/dataset_npz_generator.py
@@ -68,7 +68,7 @@ def correctSplit(split, testSetOn):
 def generateDataset(
     synthetic,
     texturizeEachTransposition,
-    dataAugmentation,
+    noTransposition,
     collections,
     testCollections,
     inputRepresentations,
@@ -108,11 +108,11 @@ def generateDataset(
         df = joint_parser.from_tsv(tsvlocation)
         if scrutinizeData and split == "training":
             df = scrutinize(df)
-        if dataAugmentation and split == "training":
+        if noTransposition or split != "training":
+            transpositions = ["P1"]
+        else:
             transpositions = _getTranspositions(df, transpositionKeys)
             print("\t", transpositions)
-        else:
-            transpositions = ["P1"]
         if synthetic:
             if not texturizeEachTransposition:
                 # once per file

From edf7a80d60fd2519310b4ca1dfccad822a225663 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 13:59:51 -0400
Subject: [PATCH 15/22] Changing version to 1.8.0

---
 AugmentedNet/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/AugmentedNet/__init__.py b/AugmentedNet/__init__.py
index e1e165f1..7bb3afc2 100644
--- a/AugmentedNet/__init__.py
+++ b/AugmentedNet/__init__.py
@@ -4,7 +4,7 @@
 import glob
 
 __author__ = "Néstor Nápoles López"
-__version__ = "1.7.1"
+__version__ = "1.8.0"
 modules = glob.glob(join(dirname(__file__), "*.py"))
 __all__ = [
     basename(f)[:-3]

From 0754f8b7e0ed02fd8a4b9a2d5e570b79f345ec78 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 14:00:09 -0400
Subject: [PATCH 16/22] Simplifying list comprehension in models.

---
 AugmentedNet/models.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/AugmentedNet/models.py b/AugmentedNet/models.py
index f481edba..e720e400 100644
--- a/AugmentedNet/models.py
+++ b/AugmentedNet/models.py
@@ -24,7 +24,7 @@ def AugmentedNet(inputs, outputs, blocks=6):
             xi = layers.Concatenate()([xi, h])
         xprime.append(xi)
     if len(x) > 1:
-        inputs = layers.Concatenate()([xi for xi in xprime])
+        inputs = layers.Concatenate()(xprime)
     else:
         inputs = xprime[0]
     h = layers.Dense(64)(inputs)

From d2bca99c9109783e017fd988471e0ecc95f14282 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 14:17:20 -0400
Subject: [PATCH 17/22] Formatting with black.

---
 misc/sonifyencoding.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/misc/sonifyencoding.py b/misc/sonifyencoding.py
index 20e49c80..9a2c7c3b 100644
--- a/misc/sonifyencoding.py
+++ b/misc/sonifyencoding.py
@@ -24,7 +24,9 @@
     chromaPart = music21.stream.Part()
     for n in df.s_notes:
         bass = f"{n[0][:-1]}3"
-        chroma = list(dict.fromkeys([f"{x[:-1]}{noteoctaves[x[0]]}" for x in n]))
+        chroma = list(
+            dict.fromkeys([f"{x[:-1]}{noteoctaves[x[0]]}" for x in n])
+        )
         bassPart.append(music21.note.Note(bass, quarterLength=0.125))
         chromaPart.append(music21.chord.Chord(chroma, quarterLength=0.125))
         print(bass, chroma)

From 294bc83469f088d39c047db750359e9c7ee7a890 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Tue, 21 Jun 2022 23:10:56 -0400
Subject: [PATCH 18/22] Adding the fix to the existing texturization patterns
 for 3/4 and 6/8-like meters.

---
 AugmentedNet/score_parser.py                  |   9 +-
 AugmentedNet/texturizers.py                   | 114 +++++++++-
 .../score_parser/texturizedHaydnOp20No4i.krn  | 208 +++++++++++-------
 test/test_score_parser.py                     |   3 +-
 test/test_texturizers.py                      |   2 +-
 5 files changed, 245 insertions(+), 91 deletions(-)

diff --git a/AugmentedNet/score_parser.py b/AugmentedNet/score_parser.py
index 71cf0f57..e63b49d7 100644
--- a/AugmentedNet/score_parser.py
+++ b/AugmentedNet/score_parser.py
@@ -9,6 +9,7 @@
 from music21.pitch import Pitch
 from music21.chord import Chord
 from music21.note import Rest
+from music21.meter import TimeSignature
 import numpy as np
 import pandas as pd
 
@@ -144,16 +145,22 @@ def _reindexDataFrame(df, fixedOffset=FIXEDOFFSET):
     return df
 
 
-def _engraveScore(df):
+def _engraveScore(df, timeSignatures=None):
     """Useful for debugging _texturizeAnnotationScore."""
+    tss = timeSignatures or {0.0: "4/4"}
     chords = music21.stream.Stream()
+    offset = 0.0
     for row in df.itertuples():
+        if offset in tss:
+            chords.append(TimeSignature(tss[offset]))
         if row.s_measure == 0:
+            offset += row.s_duration
             continue
         pitches = row.s_notes
         duration = Fraction(row.s_duration).limit_denominator(2048)
         chord = Chord(pitches, quarterLength=duration)
         chords.append(chord)
+        offset += row.s_duration
     return chords
 
 
diff --git a/AugmentedNet/texturizers.py b/AugmentedNet/texturizers.py
index 2410d012..0ab94a34 100644
--- a/AugmentedNet/texturizers.py
+++ b/AugmentedNet/texturizers.py
@@ -6,7 +6,7 @@
 class TextureTemplate(object):
     """The base class for texturization templates."""
 
-    supported_durations = [4.0, 2.0, 1.0]
+    supported_durations = [4.0, 3.0, 2.0, 1.5, 1.0]
     supported_number_of_notes = [3, 4]
 
     def __init__(self, duration, notes, intervals):
@@ -29,9 +29,37 @@ def __init__(self, duration, notes, intervals):
             self.template = self.templateSeventh
 
     def templateTriad(self):
+        if self.duration == 3.0:
+            return self.templateTriadDottedHalf()
+        elif self.duration == 1.5:
+            return self.templateTriadDottedQuarter()
+        else:
+            return self.templateTriadBinary()
+
+    def templateTriadDottedHalf(self):
+        raise NotImplementedError()
+
+    def templateTriadDottedQuarter(self):
+        raise NotImplementedError()
+
+    def templateTriadBinary(self):
         raise NotImplementedError()
 
     def templateSeventh(self):
+        if self.duration == 3.0:
+            return self.templateSeventhDottedHalf()
+        elif self.duration == 1.5:
+            return self.templateSeventhDottedQuarter()
+        else:
+            return self.templateSeventhBinary()
+
+    def templateSeventhDottedHalf(self):
+        raise NotImplementedError()
+
+    def templateSeventhDottedQuarter(self):
+        raise NotImplementedError()
+
+    def templateSeventhBinary(self):
         raise NotImplementedError()
 
     def __str__(self):
@@ -48,20 +76,58 @@ class BassSplit(TextureTemplate):
     the bass note in isolation during the first half,
     followed by the remaining upper notes."""
 
-    def templateTriad(self):
+    def templateTriadBinary(self):
         dur = self.duration / 2
         return f"""\
 0.0,{dur},,['{self.notes[0]}'],[],[True]
 {dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
 """
 
-    def templateSeventh(self):
+    def templateTriadDottedHalf(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+{dur*2},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+{dur*3},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+{dur*4},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+{dur*5},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+"""
+
+    def templateTriadDottedQuarter(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+{dur*2},{dur},,"['{self.notes[1]}', '{self.notes[2]}']",['{self.intervals[2]}'],"[True, True]"
+"""
+
+    def templateSeventhBinary(self):
         dur = self.duration / 2
         return f"""\
 0.0,{dur},,['{self.notes[0]}'],[],[True]
 {dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
 """
 
+    def templateSeventhDottedHalf(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+{dur*2},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+{dur*3},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+{dur*4},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+{dur*5},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+"""
+
+    def templateSeventhDottedQuarter(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+{dur*2},{dur},,"['{self.notes[1]}', '{self.notes[2]}', '{self.notes[3]}']","['{self.intervals[3]}', '{self.intervals[4]}']","[True, True, True]"
+"""
+
 
 class Alberti(TextureTemplate):
     """An Alberti-bass-like texturization of a chord.
@@ -69,7 +135,7 @@ class Alberti(TextureTemplate):
     A  4-note  melodic  pattern with the contour
     lowest, highest, middle, highest."""
 
-    def templateTriad(self):
+    def templateTriadBinary(self):
         dur = self.duration / 4
         return f"""\
 0.0,{dur},,['{self.notes[0]}'],[],[True]
@@ -78,7 +144,26 @@ def templateTriad(self):
 {dur*3},{dur},,['{self.notes[2]}'],[],[True]
 """
 
-    def templateSeventh(self):
+    def templateTriadDottedHalf(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,['{self.notes[2]}'],[],[True]
+{dur*2},{dur},,['{self.notes[1]}'],[],[True]
+{dur*3},{dur},,['{self.notes[2]}'],[],[True]
+{dur*4},{dur},,['{self.notes[1]}'],[],[True]
+{dur*5},{dur},,['{self.notes[2]}'],[],[True]
+"""
+
+    def templateTriadDottedQuarter(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,['{self.notes[2]}'],[],[True]
+{dur*2},{dur},,['{self.notes[1]}'],[],[True]
+"""
+
+    def templateSeventhBinary(self):
         dur = self.duration / 4
         return f"""\
 0.0,{dur},,['{self.notes[0]}'],[],[True]
@@ -87,6 +172,25 @@ def templateSeventh(self):
 {dur*3},{dur},,['{self.notes[2]}'],[],[True]
 """
 
+    def templateSeventhDottedHalf(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,['{self.notes[0]}'],[],[True]
+{dur},{dur},,['{self.notes[3]}'],[],[True]
+{dur*2},{dur},,['{self.notes[1]}'],[],[True]
+{dur*3},{dur},,['{self.notes[2]}'],[],[True]
+{dur*4},{dur},,['{self.notes[1]}'],[],[True]
+{dur*5},{dur},,['{self.notes[2]}'],[],[True]
+"""
+
+    def templateSeventhDottedQuarter(self):
+        dur = 0.5
+        return f"""\
+0.0,{dur},,"['{self.notes[0]}', '{self.notes[3]}']",['{self.intervals[2]}'],[True]
+{dur},{dur},,['{self.notes[1]}'],[],[True]
+{dur*2},{dur},,['{self.notes[2]}'],[],[True]
+"""
+
 
 class Syncopation(TextureTemplate):
     """A syncopated pattern to separate the upper voice from the rest.
diff --git a/test/auxiliary_files/score_parser/texturizedHaydnOp20No4i.krn b/test/auxiliary_files/score_parser/texturizedHaydnOp20No4i.krn
index 989ee105..f54e2f00 100644
--- a/test/auxiliary_files/score_parser/texturizedHaydnOp20No4i.krn
+++ b/test/auxiliary_files/score_parser/texturizedHaydnOp20No4i.krn
@@ -1,123 +1,165 @@
+!!!COM: Music21
+!!!OTL: Music21 Fragment
 **kern
 *clefG2
 *k[]
-*M4/4
+*M3/4
 =1
 2.a 2.cc 2.ee
-[4a [4cc [4ee
 =2
-2a] 2cc] 2ee]
-[2dd#X [2ff [2aa [2ccc
+8aL
+8ccJ 8ee
+8ccL 8ee
+8ccJ 8ee
+8ccL 8ee
+8ccJ 8ee
 =3
-4dd#] 4ff] 4aa] 4ccc]
 2.dd#X 2.ff 2.aa 2.ccc
 =4
+2.dd#X 2.ff 2.aa 2.ccc
+=5
 8bb
 4ee
 8gg#X
-4dd#X 4ff#X 4aa
-[4ee [4gg# [4bb
-=5
-4ee] 4gg#] 4bb]
-8ddnL
-8eeJ 8gg#X 8bb
-[2cc#X [2ee [2aa
+8dd#XL
+8ff#XJ 8aa
 =6
-4cc#] 4ee] 4aa]
-2.ee 2.gg#X 2.bb
-=7
-16aLL
+4ee
+4gg#X 4bb
+16ddnLL
+16bb
 16ee
-16cc#X
-16eeJJ
-8ddL
-8ff#XJ 8aa
-4dd#X 4ff# 4aa
-[4ee [4gg#X [4bb
+16gg#JJ
+=7
+8cc#XL
+8aaJ
+8eeL
+8aaJ
+8eeL
+8aaJ
+!!linebreak:original
 =8
-2ee] 2gg#] 2bb]
-[2a [2cc#X [2ee
-=9
-4a] 4cc#] 4ee]
-2.b 2.dd 2.ff#X
-=10
-8bb
-4dd 4ee 4gg#X
-8dd 8ee 8gg#
-4cc#X 4ee 4aa
 8eeL
-8dddJ
-=11
+8bbJ
 8gg#XL
 8bbJ
+8gg#L
+8bbJ
+=9
 16aLL
 16ee
 16cc#X
 16eeJJ
+4dd 4ff#X 4aa
+4dd#X 4ff# 4aa
+=10
+2.ee 2.gg#X 2.bb
+=11
+8aL
+8eeJ
+8cc#XL
+8eeJ
+8cc#L
+8eeJ
+=12
+8bL
+8ff#XJ
+8ddL
+8ff#J
+8ddL
+8ff#J
+=13
+2dd 2ee 2gg#X 2bb
+4cc#X 4ee 4aa
+!!linebreak:original
+=14
+4ee
+16gg#XLL
+16ddd
+16bb
+16dddJJ
+4a 4cc#X 4ee
+=15
 8bbL
 16ddL
-16gg#JJ
+16gg#XJJ
 16eeLL
 16gg#J
 8ddJ 8ee 8gg#
-=12
-16cc#XLL
-16aa
-16ee
-16aaJJ
-2ee 2gg#X 2bb 2ddd
-4a 4cc# 4ee
-=13
-2.dd 2.ff#X 2.aa 2.bb
-[4dd [4ee [4gg#X [4bb
-=14
-2dd] 2ee] 2gg#] 2bb]
-[2cc#X [2ee [2aa
-=15
-4cc#] 4ee] 4aa]
-2.dd 2.ff#X 2.aa
+8cc#XL
+8eeJ 8aa
 =16
-2.dd 2.ff#X 2.bb
-[4cc#X [4ee [4aa
+2ee 2gg#X 2bb 2ddd
+4a 4cc#X 4ee
 =17
-2cc#] 2ee] 2aa]
-[2cc#X [2ee [2aa
+2.dd 2.ff#X 2.aa 2.bb
 =18
-4cc#] 4ee] 4aa]
-2.cc#X 2.ee 2.aa
+8ddL
+8bbJ
+8eeL
+8gg#XJ
+8eeL
+8gg#J
 =19
-2.b 2.dd 2.ee 2.gg#X
-[4b [4dd [4ee [4gg#
-=20
-2b] 2dd] 2ee] 2gg#]
-[2cc#X [2ee [2aa
-=21
-4cc#] 4ee] 4aa]
 8cc#XL
 8aaJ
 8eeL
 8aaJ
-16cc#LL
-16aa
-16ee
-16aaJJ
+8eeL
+8aaJ
+=20
+2.dd 2.ff#X 2.aa
+!!linebreak:original
+=21
+8ddL
+8ff#XJ 8bb
+8ff#L 8bb
+8ff#J 8bb
+8ff#L 8bb
+8ff#J 8bb
 =22
-8gg#X
-4b 4dd 4ee
-8b 8dd 8ee
-8aL
-8cc#XJ 8ee
-8bbL
-[8ddJ
+2.cc#X 2.ee 2.aa
 =23
-8ddL]
-8ff#XJ
-16eeLL
-16ddd
-16gg#X
-16bbJJ
-[2a [2cc#X [2ee
+8cc#XL
+8aaJ
+8eeL
+8aaJ
+8eeL
+8aaJ
 =24
-4a] 4cc#] 4ee]
+8cc#XL
+8eeJ 8aa
+8eeL 8aa
+8eeJ 8aa
+8eeL 8aa
+8eeJ 8aa
+=25
+2.b 2.dd 2.ee 2.gg#X
+=26
+2.b 2.dd 2.ee 2.gg#X
+=27
+8cc#XL
+8aaJ
+8eeL
+8aaJ
+8eeL
+8aaJ
+!!linebreak:original
+=28
+8aa
+4cc#X
+8ee
+8cc#L
+8eeJ 8aa
+=29
+2b 2dd 2ee 2gg#X
+4a 4cc#X 4ee
+=30
+4dd
+4ff#X 4bb
+8eeL
+8gg#XJ 8bb 8ddd
+=31
+2.a 2.cc#X 2.ee
 ==
 *-
diff --git a/test/test_score_parser.py b/test/test_score_parser.py
index a56e3a67..4f77e459 100644
--- a/test/test_score_parser.py
+++ b/test/test_score_parser.py
@@ -58,7 +58,8 @@ def test_parse_annotation_as_score(self):
         )
         # This test is somewhat cheating, but I prefer the higher coverage
         # render the df into a m21 score, then compare scores (gt, generated)
-        s = score_parser._engraveScore(df)
+        timeSignatures = {0.0: "3/4"}
+        s = score_parser._engraveScore(df, timeSignatures)
         s = s.makeNotation()
         gt = music21.converter.parse(
             aux.texturizedHaydnOp20No4i, format="humdrum"
diff --git a/test/test_texturizers.py b/test/test_texturizers.py
index 5fb261aa..4eedbd96 100644
--- a/test/test_texturizers.py
+++ b/test/test_texturizers.py
@@ -68,7 +68,7 @@ def test_available_number_of_notes(self):
         self.assertEqual(available_number_of_notes, GT)
 
     def test_available_durations(self):
-        GT = [4.0, 2.0, 1.0]
+        GT = [4.0, 3.0, 2.0, 1.5, 1.0]
         self.assertEqual(available_durations, GT)
 
     def test_available_templates(self):

From bb00a6501d6f0756f7cd962403f0be607b2612da Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Thu, 23 Jun 2022 15:40:18 -0400
Subject: [PATCH 19/22] Adding MeasureOnset7 and NoteOnset7 to
 available_input_representations.

---
 AugmentedNet/input_representations.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/AugmentedNet/input_representations.py b/AugmentedNet/input_representations.py
index 62e0185d..0fad2e30 100644
--- a/AugmentedNet/input_representations.py
+++ b/AugmentedNet/input_representations.py
@@ -317,6 +317,8 @@ def decode(cls, array):
     "Bass35": Bass35,
     "Chromagram19": Chromagram19,
     "Chromagram35": Chromagram35,
+    "MeasureOnset7": MeasureOnset7,
+    "NoteOnset7": NoteOnset7,
     "MeasureNoteOnset14": MeasureNoteOnset14,
     "Intervals39": Intervals39,
     "Intervals19": Intervals19,

From 27766929d68b2d8ae4a22f2db2f8922fb88d1cbd Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Sat, 25 Jun 2022 09:48:08 -0400
Subject: [PATCH 20/22] Adding pretrained model for v1.8.0.

---
 AugmentedNet.hdf5 | Bin 1790416 -> 1790504 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/AugmentedNet.hdf5 b/AugmentedNet.hdf5
index f985a643e82b3f2e1270eb7040af7416bdc6f56f..6c79477613e9b392083ccf3155c91ac7ed4a03c3 100644
GIT binary patch
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From e454b90b9e7a5263c4a187921bca1a1546eb5d65 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Sat, 25 Jun 2022 09:49:21 -0400
Subject: [PATCH 21/22] Removing padding from evaluation.

---
 AugmentedNet/train.py | 23 +++++++++++++----------
 1 file changed, 13 insertions(+), 10 deletions(-)

diff --git a/AugmentedNet/train.py b/AugmentedNet/train.py
index 2ef31045..1028f511 100644
--- a/AugmentedNet/train.py
+++ b/AugmentedNet/train.py
@@ -117,7 +117,6 @@ def on_epoch_end(self, epoch, logs={}):
             "ChordRoot35",
             "Inversion4",
             "PrimaryDegree22",
-            "RomanNumeral31",
             "SecondaryDegree22",
         ]
         monitored = [a for a in monitored if a not in nonMonitored]
@@ -136,6 +135,8 @@ def on_epoch_end(self, epoch, logs={}):
 def evaluate(modelHdf5, X_test, y_true):
     model = keras.models.load_model(modelHdf5)
     X = [xi.array for xi in X_test]
+    padding = np.sum(X[0], axis=2) == -X[0].shape[2]
+    padding = padding.reshape(-1, 1)
     X = X if len(X) > 1 else X[0]
     y_preds = model.predict(X)
     dfdict = {}
@@ -144,17 +145,19 @@ def evaluate(modelHdf5, X_test, y_true):
     for y, ypred in zip(y_true, y_preds):
         name = y.name.replace("validation_y_", "")
         features.append(name)
-        dfdict["true_" + name] = []
-        dfdict["pred_" + name] = []
-        for true, preds in zip(y.array, ypred):
-            predsCategorical = np.argmax(preds, axis=1).reshape(-1, 1)
-            decodedTrue = availableOutputs[name].decode(true)
-            dfdict["true_" + name].extend(decodedTrue)
-            decodedPreds = availableOutputs[name].decode(predsCategorical)
-            dfdict["pred_" + name].extend(decodedPreds)
+        dfdict[f"true_{name}"] = []
+        dfdict[f"pred_{name}"] = []
+        true = y.array.reshape(-1, 1)[~padding]
+        ypred = ypred.reshape(-1, ypred.shape[2])
+        predsCategorical = np.argmax(ypred, axis=1).reshape(-1, 1)
+        predsCategorical = predsCategorical[~padding]
+        decodedTrue = availableOutputs[name].decode(true)
+        dfdict[f"true_{name}"].extend(decodedTrue)
+        decodedPreds = availableOutputs[name].decode(predsCategorical)
+        dfdict[f"pred_{name}"].extend(decodedPreds)
     df = pd.DataFrame(dfdict)
     for feature in features:
-        df[feature] = df["true_" + feature] == df["pred_" + feature]
+        df[feature] = df[f"true_{feature}"] == df[f"pred_{feature}"]
         summary[feature] = df[feature].mean().round(3)
         print(f"{feature}: {summary[feature]}")
     # Some custom features, all optional depending on outputs

From 08f4a4c7fc6f1cf6c7c30b7a7eb93fdea683b6d1 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?N=C3=A9stor=20N=C3=A1poles=20L=C3=B3pez?=
 <napulen@gmail.com>
Date: Sat, 25 Jun 2022 09:51:04 -0400
Subject: [PATCH 22/22] Renaming haydnop20 to haydnsun

---
 AugmentedNet/data/__init__.py                 |      2 +-
 AugmentedNet/data/haydnsun.py                 |     96 +-
 AugmentedNet/results.csv                      | 214639 +++++++++++++++
 AugmentedNet/summary.txt                      |     10 +
 misc/texturize_example.py                     |      4 +-
 notebooks/AggregateTsvs.ipynb                 |     32 +-
 notebooks/DatasetSummary.ipynb                |     56 +-
 notebooks/MeterDistribution.ipynb             |      2 +-
 notebooks/VisualizingFilters.ipynb            |      2 +-
 .../thesis/Ch5-DurationDistribution.ipynb     |     32 +-
 .../dataset_tsv_generator/dataset_gt.tsv      |     48 +-
 .../dataset_tsv_generator/hashes.json         |     48 +-
 12 files changed, 214810 insertions(+), 161 deletions(-)
 create mode 100644 AugmentedNet/results.csv
 create mode 100644 AugmentedNet/summary.txt

diff --git a/AugmentedNet/data/__init__.py b/AugmentedNet/data/__init__.py
index 2813b001..0e817999 100644
--- a/AugmentedNet/data/__init__.py
+++ b/AugmentedNet/data/__init__.py
@@ -3,7 +3,7 @@
 available_collections = {
     "abc": abc_dcml,
     "bps": bps,
-    "haydnop20": haydnsun,
+    "haydnsun": haydnsun,
     "mps": mps,
     "tavern": tavern,
     "wir": wir,
diff --git a/AugmentedNet/data/haydnsun.py b/AugmentedNet/data/haydnsun.py
index b5c9cc9a..20e9b4a9 100644
--- a/AugmentedNet/data/haydnsun.py
+++ b/AugmentedNet/data/haydnsun.py
@@ -1,97 +1,97 @@
 annotation_score_duples = {
-    "haydnop20-no1-1": (
+    "haydnsun-no1-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/1/i/op20n1-01.krn",
     ),
-    "haydnop20-no1-2": (
+    "haydnsun-no1-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/1/ii/op20n1-02.krn",
     ),
-    "haydnop20-no1-3": (
+    "haydnsun-no1-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/1/iii/op20n1-03.krn",
     ),
-    "haydnop20-no1-4": (
+    "haydnsun-no1-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/1/iv/op20n1-04.krn",
     ),
-    "haydnop20-no2-1": (
+    "haydnsun-no2-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/2/i/op20n2-01.krn",
     ),
-    "haydnop20-no2-2": (
+    "haydnsun-no2-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/2/ii/op20n2-02.krn",
     ),
-    "haydnop20-no2-3": (
+    "haydnsun-no2-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/2/iii/op20n2-03.krn",
     ),
-    "haydnop20-no2-4": (
+    "haydnsun-no2-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/2/iv/op20n2-04.krn",
     ),
-    "haydnop20-no3-1": (
+    "haydnsun-no3-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/3/i/op20n3-01.krn",
     ),
-    "haydnop20-no3-2": (
+    "haydnsun-no3-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/3/ii/op20n3-02.krn",
     ),
-    "haydnop20-no3-3": (
+    "haydnsun-no3-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/3/iii/op20n3-03.krn",
     ),
-    "haydnop20-no3-4": (
+    "haydnsun-no3-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/3/iv/op20n3-04.krn",
     ),
-    "haydnop20-no4-1": (
+    "haydnsun-no4-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/4/i/op20n4-01.krn",
     ),
-    "haydnop20-no4-2": (
+    "haydnsun-no4-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/4/ii/op20n4-02.krn",
     ),
-    "haydnop20-no4-3": (
+    "haydnsun-no4-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/4/iii/op20n4-03.krn",
     ),
-    "haydnop20-no4-4": (
+    "haydnsun-no4-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/4/iv/op20n4-04.krn",
     ),
-    "haydnop20-no5-1": (
+    "haydnsun-no5-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/5/i/op20n5-01.krn",
     ),
-    "haydnop20-no5-2": (
+    "haydnsun-no5-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/5/ii/op20n5-02.krn",
     ),
-    "haydnop20-no5-3": (
+    "haydnsun-no5-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/5/iii/op20n5-03.krn",
     ),
-    "haydnop20-no5-4": (
+    "haydnsun-no5-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/5/iv/op20n5-04.krn",
     ),
-    "haydnop20-no6-1": (
+    "haydnsun-no6-1": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/1/analysis.txt",
         "rawdata/haydn_op20_harm/op20/6/i/op20n6-01.krn",
     ),
-    "haydnop20-no6-2": (
+    "haydnsun-no6-2": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/2/analysis.txt",
         "rawdata/haydn_op20_harm/op20/6/ii/op20n6-02.krn",
     ),
-    "haydnop20-no6-3": (
+    "haydnsun-no6-3": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/3/analysis.txt",
         "rawdata/haydn_op20_harm/op20/6/iii/op20n6-03.krn",
     ),
-    "haydnop20-no6-4": (
+    "haydnsun-no6-4": (
         "rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/4/analysis.txt",
         "rawdata/haydn_op20_harm/op20/6/iv/op20n6-04.krn",
     ),
@@ -99,33 +99,33 @@
 
 splits = {
     "training": [
-        "haydnop20-no6-3",
-        "haydnop20-no1-1",
-        "haydnop20-no4-1",
-        "haydnop20-no4-3",
-        "haydnop20-no1-3",
-        "haydnop20-no6-2",
-        "haydnop20-no3-1",
-        "haydnop20-no5-1",
-        "haydnop20-no1-4",
-        "haydnop20-no2-3",
-        "haydnop20-no5-4",
-        "haydnop20-no3-2",
-        "haydnop20-no4-4",
-        "haydnop20-no2-1",
-        "haydnop20-no4-2",
-        "haydnop20-no6-1",
+        "haydnsun-no6-3",
+        "haydnsun-no1-1",
+        "haydnsun-no4-1",
+        "haydnsun-no4-3",
+        "haydnsun-no1-3",
+        "haydnsun-no6-2",
+        "haydnsun-no3-1",
+        "haydnsun-no5-1",
+        "haydnsun-no1-4",
+        "haydnsun-no2-3",
+        "haydnsun-no5-4",
+        "haydnsun-no3-2",
+        "haydnsun-no4-4",
+        "haydnsun-no2-1",
+        "haydnsun-no4-2",
+        "haydnsun-no6-1",
     ],
     "validation": [
-        "haydnop20-no1-2",
-        "haydnop20-no2-4",
-        "haydnop20-no3-3",
-        "haydnop20-no5-2",
+        "haydnsun-no1-2",
+        "haydnsun-no2-4",
+        "haydnsun-no3-3",
+        "haydnsun-no5-2",
     ],
     "test": [
-        "haydnop20-no2-2",
-        "haydnop20-no3-4",
-        "haydnop20-no5-3",
-        "haydnop20-no6-4",
+        "haydnsun-no2-2",
+        "haydnsun-no3-4",
+        "haydnsun-no5-3",
+        "haydnsun-no6-4",
     ],
 }
diff --git a/AugmentedNet/results.csv b/AugmentedNet/results.csv
new file mode 100644
index 00000000..4901a7d1
--- /dev/null
+++ b/AugmentedNet/results.csv
@@ -0,0 +1,214639 @@
+,true_Alto35,pred_Alto35,true_Bass35,pred_Bass35,true_HarmonicRhythm7,pred_HarmonicRhythm7,true_LocalKey38,pred_LocalKey38,true_PitchClassSet121,pred_PitchClassSet121,true_RomanNumeral31,pred_RomanNumeral31,true_Soprano35,pred_Soprano35,true_Tenor35,pred_Tenor35,true_TonicizedKey38,pred_TonicizedKey38,Alto35,Bass35,HarmonicRhythm7,LocalKey38,PitchClassSet121,RomanNumeral31,Soprano35,Tenor35,TonicizedKey38,satbRomanNumeral
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+1899,F#,F#,B,B,2,2,A,A,"(2, 6, 11)","(2, 6, 11)",ii,V7,B,G,D,D,A,D,True,True,True,True,True,False,False,True,False,False
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+1905,G#,B,D,D,1,1,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1906,G#,B,D,D,2,2,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1907,G#,B,D,D,2,2,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1908,G#,B,D,D,3,3,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1909,G#,B,D,D,3,3,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1910,G#,B,D,D,3,3,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1911,G#,B,D,D,3,3,A,f#,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,B,B,F,F,a,f#,False,True,True,False,True,True,True,True,False,False
+1912,B,G,E#,C#,0,0,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,viio7,C#,B,G#,E,F#,D,False,False,True,False,False,False,False,False,False,False
+1913,B,G,E#,C#,1,1,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1914,B,G,E#,C#,2,2,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1915,B,G,E#,C#,2,2,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1916,B,G,E#,C#,3,3,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1917,B,G,E#,C#,3,3,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1918,B,G,E#,C#,3,3,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,D,False,False,True,False,False,True,False,False,False,False
+1919,B,G,E#,C#,3,3,A,f#,"(1, 5, 8, 11)","(1, 4, 7, 10)",V7,V7,C#,B,G#,E,F#,b,False,False,True,False,False,True,False,False,False,False
+1920,A#,B,E,E,0,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,D,G,G#,b,A,False,True,False,True,False,False,False,False,False,False
+1921,A#,B,E,E,1,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,D,G,G#,b,A,False,True,False,True,False,False,False,False,False,False
+1922,A#,B,E,E,2,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,D,G,G#,b,A,False,True,False,True,False,False,False,False,False,False
+1923,A#,B,E,E,2,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,D,G,G#,b,A,False,True,False,True,False,False,False,False,False,False
+1924,A#,C#,E,E,3,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,C#,G,G#,b,A,False,True,False,True,False,False,True,False,False,False
+1925,A#,C#,E,E,3,1,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,C#,G,G#,b,A,False,True,False,True,False,False,True,False,False,False
+1926,A#,C#,E,E,3,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,C#,G,G#,b,A,False,True,False,True,False,False,True,False,False,False
+1927,A#,C#,E,E,3,4,A,A,"(1, 4, 7, 10)","(2, 4, 8, 11)",viio7,V7,C#,C#,G,G#,b,A,False,True,False,True,False,False,True,False,False,False
+1928,A#,C#,E,E,0,0,A,A,"(1, 4, 7, 10)","(4, 8, 11)",viio7,I,C#,C#,G,G#,b,A,False,True,True,True,False,False,True,False,False,False
+1929,A#,C#,E,E,1,1,A,A,"(1, 4, 7, 10)","(4, 8, 11)",viio7,I,C#,C#,G,G#,b,A,False,True,True,True,False,False,True,False,False,False
+1930,A#,C#,E,E,2,2,A,A,"(1, 4, 7, 10)","(4, 8, 11)",viio7,I,C#,C#,G,G#,b,A,False,True,True,True,False,False,True,False,False,False
+1931,A#,C#,E,E,2,2,A,A,"(1, 4, 7, 10)","(4, 8, 11)",viio7,I,C#,C#,G,G#,b,A,False,True,True,True,False,False,True,False,False,False
+1932,B,B,D,E,0,0,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,I,B,D,F#,G#,A,A,True,False,True,True,False,False,False,False,True,False
+1933,B,B,D,E,1,1,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,I,B,D,F#,G#,A,A,True,False,True,True,False,False,False,False,True,False
+1934,B,B,D,E,2,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,I,B,D,F#,G#,A,A,True,False,False,True,False,False,False,False,True,False
+1935,B,B,D,E,2,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,I,B,D,F#,G#,A,A,True,False,False,True,False,False,False,False,True,False
+1936,C#,C#,E,E,0,4,A,A,"(1, 4, 8)","(4, 8, 11)",iii,I,C#,C#,G#,G#,A,A,True,True,False,True,False,False,True,True,True,True
+1937,C#,C#,E,E,1,4,A,A,"(1, 4, 8)","(4, 8, 11)",iii,I,C#,C#,G#,G#,A,A,True,True,False,True,False,False,True,True,True,True
+1938,C#,C#,E,E,2,4,A,A,"(1, 4, 8)","(1, 4, 8)",iii,I,C#,E,G#,G#,A,A,True,True,False,True,True,False,False,True,True,False
+1939,C#,C#,E,E,2,4,A,A,"(1, 4, 8)","(1, 4, 8)",iii,I,C#,E,G#,G#,A,A,True,True,False,True,True,False,False,True,True,False
+1940,D,D,F#,F#,0,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+1941,D,D,F#,F#,1,1,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+1942,D,D,F#,F#,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+1943,D,D,F#,F#,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+1944,D,D,G#,G#,0,0,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,E,E,B,B,A,A,True,True,True,True,True,True,True,True,True,True
+1945,D,D,G#,G#,1,1,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,E,E,B,B,A,A,True,True,True,True,True,True,True,True,True,True
+1946,D,D,G#,G#,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,E,E,B,B,A,A,True,True,True,True,True,True,True,True,True,True
+1947,D,D,G#,G#,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,E,E,B,B,A,A,True,True,True,True,True,True,True,True,True,True
+1948,E,E,A,A,0,0,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,D,C#,C#,A,A,True,True,True,True,True,True,False,True,True,False
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+1951,E,E,A,A,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,D,C#,C#,A,A,True,True,True,True,True,True,False,True,True,False
+1952,A,A,D,D,0,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+1953,A,A,D,D,1,1,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+1954,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+1955,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+1956,B,B,E,E,0,0,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,A,A,True,True,True,True,False,False,False,True,True,False
+1957,B,B,E,E,1,1,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,A,A,True,True,True,True,False,False,False,True,True,False
+1958,B,B,E,E,2,2,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,A,A,True,True,True,True,False,False,False,True,True,False
+1959,B,B,E,E,2,2,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,A,A,True,True,True,True,False,False,False,True,True,False
+1960,E,C#,A#,E,0,0,A,A,"(1, 4, 10)","(1, 4, 10)",viio,V7,A#,E,C#,G#,b,A,False,False,True,True,True,False,False,False,False,False
+1961,E,C#,A#,E,1,1,A,A,"(1, 4, 10)","(1, 4, 10)",viio,V7,A#,E,C#,G#,b,A,False,False,True,True,True,False,False,False,False,False
+1962,E,C#,A#,E,2,2,A,A,"(1, 4, 10)","(1, 4, 10)",viio,V7,A#,E,C#,G#,b,A,False,False,True,True,True,False,False,False,False,False
+1963,E,C#,A#,E,2,2,A,A,"(1, 4, 10)","(1, 4, 10)",viio,V7,A#,E,C#,G#,b,A,False,False,True,True,True,False,False,False,False,False
+1964,E,B,A#,E,3,3,A,A,"(1, 4, 10)","(2, 4, 8, 11)",viio,V7,A#,D,C#,F#,b,A,False,False,True,True,False,False,False,False,False,False
+1965,E,B,A#,E,3,3,A,A,"(1, 4, 10)","(2, 4, 8, 11)",viio,V7,A#,D,C#,F#,b,A,False,False,True,True,False,False,False,False,False,False
+1966,E,B,A#,E,3,3,A,A,"(1, 4, 10)","(2, 4, 8, 11)",viio,V7,A#,D,C#,F#,b,A,False,False,True,True,False,False,False,False,False,False
+1967,E,B,A#,E,3,3,A,A,"(1, 4, 10)","(2, 4, 8, 11)",viio,V7,A#,D,C#,F#,b,A,False,False,True,True,False,False,False,False,False,False
+1968,E,B,G#,E,0,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1969,E,B,G#,E,1,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1970,E,B,G#,E,2,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1971,E,B,G#,E,2,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1972,E,B,G#,E,3,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1973,E,B,G#,E,3,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1974,E,B,G#,E,3,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1975,E,B,G#,E,3,4,A,A,"(1, 4, 8)","(2, 4, 8, 11)",iii,V7,C#,D,C#,F#,A,A,False,False,False,True,False,False,False,False,True,False
+1976,B,B,E,E,0,0,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1977,B,B,E,E,1,5,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+1978,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1979,B,B,E,E,2,5,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+1980,C#,B,E,E,0,0,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,V7,A,D,A,G#,A,A,False,True,True,True,False,False,False,False,True,False
+1981,C#,B,E,E,1,1,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,V7,A,D,A,G#,A,A,False,True,True,True,False,False,False,False,True,False
+1982,C#,B,E,E,2,2,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,V7,A,D,A,G#,A,A,False,True,True,True,False,False,False,False,True,False
+1983,C#,B,E,E,2,2,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,V7,A,D,A,G#,A,A,False,True,True,True,False,False,False,False,True,False
+1984,B,B,E,E,0,0,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1985,B,B,E,E,1,1,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1986,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1987,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1988,B,B,E,E,3,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1989,B,B,E,E,3,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1990,B,B,E,E,3,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1991,B,B,E,E,3,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+1992,E,A,A,D,0,0,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,E,A,A,False,False,True,True,True,True,True,False,True,False
+1993,E,A,A,D,1,1,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,E,A,A,False,False,True,True,True,True,True,False,True,False
+1994,E,A,A,D,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,E,A,A,False,False,True,True,True,True,True,False,True,False
+1995,E,A,A,D,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,E,A,A,False,False,True,True,True,True,True,False,True,False
+1996,E,A,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,False,True,True,True,True,True,True,True,True,False
+1997,E,A,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,False,True,True,True,True,True,True,True,True,False
+1998,E,A,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,False,True,True,True,True,True,True,True,True,False
+1999,E,A,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,False,True,True,True,True,True,True,True,True,False
+2000,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+2001,E,E,A,A,4,1,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,False,True,True,True,True,True,True,True
+2002,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+2003,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+2004,E,E,A,A,4,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,False,True,True,True,True,True,True,True
+2005,E,E,A,A,4,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,False,True,True,True,True,True,True,True
+2006,E,E,A,A,4,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,False,True,True,True,True,True,True,True
+2007,E,E,A,A,4,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,False,True,True,True,True,True,True,True
+2008,F#,E,B#,A,0,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2009,F#,E,B#,A,1,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2010,F#,E,B#,A,2,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2011,F#,E,B#,A,2,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2012,F#,E,B#,A,3,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2013,F#,E,B#,A,3,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2014,F#,E,B#,A,3,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2015,F#,E,B#,A,3,5,A,A,"(0, 3, 6, 9)","(1, 4, 9)",viio7,I,A,A,D#,C#,c#,A,False,False,False,True,False,False,True,False,False,False
+2016,F#,D,B#,F#,4,0,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2017,F#,D,B#,F#,4,1,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2018,F#,D,B#,F#,4,2,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2019,F#,D,B#,F#,4,2,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2020,F#,D,B#,F#,4,3,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2021,F#,D,B#,F#,4,3,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2022,F#,D,B#,F#,4,3,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2023,F#,D,B#,F#,4,3,A,A,"(0, 3, 6, 9)","(2, 6, 9)",viio7,I,A,D,D#,A,c#,A,False,False,False,True,False,False,False,False,False,False
+2024,A,A,D,D,0,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2025,A,A,D,D,1,1,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2026,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2027,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2028,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2029,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2030,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2031,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2032,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2033,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2034,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2035,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2036,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+2037,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+2038,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+2039,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+2040,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2041,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2042,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2043,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2044,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2045,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2046,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2047,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2048,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2049,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2050,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2051,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2052,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2053,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2054,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2055,A,A,D,D,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+2056,E,D#,A,A,0,0,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2057,E,A,A,A,1,1,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2058,E,D#,A,A,2,2,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2059,E,D#,A,A,2,2,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2060,E,A,A,A,3,3,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2061,E,A,A,A,3,3,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2062,E,A,A,A,3,3,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2063,E,A,A,A,3,3,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,F#,A,c#,False,True,True,True,False,False,True,False,False,False
+2064,E,E,A,A,4,4,A,A,"(1, 4, 9)","(0, 3, 6, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,False,False,True,True,True,True
+2065,E,E,A,A,4,1,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,False,True,True,False,True,True,True,True
+2066,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+2067,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+2068,E,E,A,A,4,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,False,True,True,False,True,True,True,True
+2069,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+2070,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+2071,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,viio7,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+2072,F#,D#,B#,A,0,0,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,A,False,False,True,True,True,True,False,False,False,False
+2073,F#,D#,B#,A,1,1,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2074,F#,D#,B#,A,2,2,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2075,F#,D#,B#,A,2,2,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2076,F#,D#,B#,A,3,3,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2077,F#,D#,B#,A,3,3,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2078,F#,D#,B#,A,3,3,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2079,F#,D#,B#,A,3,3,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2080,F#,D#,B#,A,4,4,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2081,F#,D#,B#,A,4,4,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2082,F#,D#,B#,A,4,4,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2083,F#,D#,B#,A,4,4,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,True,True,True,True,False,False,True,False
+2084,F#,D#,B#,A,4,5,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,False,True,True,True,False,False,True,False
+2085,F#,D#,B#,A,4,5,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,False,True,True,True,False,False,True,False
+2086,F#,D#,B#,A,4,5,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,False,True,True,True,False,False,True,False
+2087,F#,D#,B#,A,4,5,A,A,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,F#,D#,C,c#,c#,False,False,False,True,True,True,False,False,True,False
+2088,E,E,G#,G#,0,0,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2089,E,E,G#,G#,1,1,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2090,E,E,G#,G#,2,2,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2091,E,E,G#,G#,2,2,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2092,E,E,G#,G#,3,3,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2093,E,E,G#,G#,3,3,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2094,E,E,G#,G#,3,3,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2095,E,E,G#,G#,3,3,A,A,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,A,A,True,True,True,True,False,False,True,True,True,True
+2096,D,D,G#,G#,0,4,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,E,E,B,B,A,A,True,True,False,True,True,True,True,True,True,True
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+3589,F#,F#,B#,B#,3,3,c#,f#,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,D#,D#,c#,c#,True,True,True,False,True,True,True,True,True,False
+3590,F#,F#,B#,B#,3,3,c#,f#,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,D#,D#,c#,c#,True,True,True,False,True,True,True,True,True,False
+3591,F#,F#,B#,B#,3,3,c#,f#,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,D#,D#,c#,c#,True,True,True,False,True,True,True,True,True,False
+3592,E,F#,A,B#,0,0,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3593,E,F#,A,B#,1,1,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3594,E,F#,A,B#,2,2,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3595,E,F#,A,B#,2,2,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3596,E,F#,A,B#,3,3,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3597,E,F#,A,B#,3,3,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3598,E,F#,A,B#,3,3,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3599,E,F#,A,B#,3,3,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3600,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3601,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3602,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3603,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3604,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3605,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3606,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3607,E,F#,A,B#,4,4,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3608,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,f#,False,False,True,False,False,True,False,False,False,False
+3609,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3610,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3611,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3612,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3613,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3614,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3615,E,G#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3616,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3617,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3618,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3619,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3620,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3621,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3622,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3623,E,F#,A,B#,5,5,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3624,G#,G#,C#,C#,0,0,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3625,G#,G#,C#,C#,1,1,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3626,G#,G#,C#,C#,2,2,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3627,G#,G#,C#,C#,2,2,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3628,G#,G#,C#,C#,3,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3629,G#,G#,C#,C#,3,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3630,G#,G#,C#,C#,3,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3631,G#,G#,C#,C#,3,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,True,False,True,True,True,True,False,False
+3632,G#,G#,C#,C#,4,0,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,False,False,True,True,True,True,True,False
+3633,G#,G#,C#,C#,4,1,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,False,False,True,True,True,True,True,False
+3634,G#,G#,C#,C#,4,2,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,False,False,True,True,True,True,True,False
+3635,G#,G#,C#,C#,4,4,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,True,False,True,True,True,True,True,False
+3636,G#,G#,C#,C#,4,3,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,False,False,True,True,True,True,True,False
+3637,G#,G#,C#,C#,4,3,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,False,False,True,True,True,True,True,False
+3638,G#,G#,C#,C#,4,4,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,True,False,True,True,True,True,True,False
+3639,G#,G#,C#,C#,4,4,c#,f#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,True,False,True,True,True,True,True,False
+3640,G#,G#,C#,C#,5,0,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,V,C#,C#,E#,E#,C#,f#,True,True,False,False,True,False,True,True,False,False
+3641,G#,G#,C#,C#,5,1,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3642,G#,G#,C#,C#,5,2,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3643,G#,G#,C#,C#,5,2,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3644,G#,G#,C#,C#,5,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3645,G#,G#,C#,C#,5,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3646,G#,G#,C#,C#,5,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3647,G#,G#,C#,C#,5,3,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,f#,True,True,False,False,True,True,True,True,False,False
+3648,E,F#,A,B#,0,0,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3649,E,F#,A,B#,1,1,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3650,E,F#,A,B#,2,2,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3651,E,F#,A,B#,2,2,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3652,E,F#,A,B#,3,3,c#,f#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3653,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3654,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3655,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3656,E,F#,A,B#,0,0,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3657,E,F#,A,B#,1,1,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3658,E,F#,A,B#,2,2,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3659,E,F#,A,B#,2,2,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3660,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3661,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3662,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3663,E,F#,A,B#,3,3,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3664,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3665,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3666,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3667,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3668,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3669,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3670,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3671,E,F#,A,B#,4,4,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,c#,False,False,True,False,False,True,False,False,True,False
+3672,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,V7,F##,G#,C#,D,c#,C#,False,False,True,False,False,False,False,False,False,False
+3673,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3674,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3675,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3676,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3677,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3678,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3679,E,G#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 3, 8)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3680,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3681,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3682,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3683,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3684,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3685,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,A,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3686,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3687,E,F#,A,B#,5,5,c#,C#,"(1, 4, 7, 9)","(0, 2, 6, 9)",Ger7,Ger7,F##,G#,C#,D,c#,C#,False,False,True,False,False,True,False,False,False,False
+3688,G#,G#,C#,C#,0,0,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,True,False,True,True,True,True,True,False
+3689,G#,G#,C#,C#,1,1,c#,C#,"(1, 5, 8)","(1, 5, 8)",I,I,C#,C#,E#,E#,C#,C#,True,True,True,False,True,True,True,True,True,False
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+8780,F-,F,B-,B,4,4,D-,c,"(1, 4, 7, 10)","(2, 5, 8, 11)",viio7,viio7,G,A-,D-,D,a-,c,False,False,True,False,False,True,False,False,False,False
+8781,F-,F,B-,B,4,4,D-,c,"(1, 4, 7, 10)","(2, 5, 8, 11)",viio7,viio7,G,A-,D-,D,a-,c,False,False,True,False,False,True,False,False,False,False
+8782,F-,F,B-,B,4,4,D-,c,"(1, 4, 7, 10)","(2, 5, 8, 11)",viio7,viio7,G,A-,D-,D,a-,c,False,False,True,False,False,True,False,False,False,False
+8783,F-,F,B-,B,4,4,D-,c,"(1, 4, 7, 10)","(2, 5, 8, 11)",viio7,viio7,G,A-,D-,D,a-,c,False,False,True,False,False,True,False,False,False,False
+8784,F,B,B,F,0,0,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8785,F,B,B,F,1,1,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8786,F,B,B,F,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8787,F,B,B,F,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8788,F,B,B,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8789,F,B,B,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8790,F,B,B,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8791,F,B,B,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8792,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8793,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8794,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8795,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8796,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8797,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8798,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8799,F,B,B,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,D,D,A-,c,c,False,False,True,True,True,True,False,False,True,False
+8800,C,C,E-,F,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8801,C,C,E-,F,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8802,C,C,E-,F,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8803,C,C,E-,F,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8804,C,C,E-,F,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8805,C,C,E-,F,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8806,C,C,E-,F,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,V7,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8807,C,C,E-,F,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,A-,c,c,True,False,True,True,True,False,False,False,True,False
+8808,C,C,E-,E-,0,4,c,c,"(0, 3, 7)","(3, 7, 10)",i,I,C,E-,G,G,c,c,True,True,False,True,False,False,False,True,True,False
+8809,C,C,E-,E-,1,4,c,c,"(0, 3, 7)","(3, 7, 10)",i,I,C,E-,G,G,c,c,True,True,False,True,False,False,False,True,True,False
+8810,C,C,E-,E-,2,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8811,C,C,E-,E-,2,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8812,C,C,E-,E-,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8813,C,C,E-,E-,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8814,C,C,E-,E-,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8815,C,C,E-,E-,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,I,C,E-,G,G,c,c,True,True,False,True,True,False,False,True,True,False
+8816,A,G,D,E-,0,0,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8817,A,G,D,E-,1,1,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8818,A,G,D,E-,2,2,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8819,A,G,D,E-,2,2,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8820,A,G,D,E-,3,3,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,E-,C,c,False,False,True,True,False,False,False,False,False,False
+8821,A,G,D,E-,3,3,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8822,A,G,D,E-,3,3,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,E-,C,c,False,False,True,True,False,False,False,False,False,False
+8823,A,G,D,E-,3,3,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,E-,F,G,C,c,False,False,True,True,False,False,False,False,False,False
+8824,A,G,D,E-,0,4,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,D,F,F,C,c,False,False,False,True,False,False,True,True,False,False
+8825,A,G,D,E-,1,4,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,D,F,F,C,c,False,False,False,True,False,False,True,True,False,False
+8826,A,G,D,E-,2,4,c,c,"(2, 5, 9)","(0, 3, 7)",ii,V,D,D,F,F,C,c,False,False,False,True,False,False,True,True,False,False
+8827,A,G,D,E-,2,4,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,D,F,F,C,c,False,False,False,True,False,False,True,True,False,False
+8828,A,G,D,D,3,4,c,c,"(2, 5, 9)","(0, 3, 7)",ii,V,D,D,F,F,C,c,False,True,False,True,False,False,True,True,False,False
+8829,A,G,D,D,3,4,c,c,"(2, 5, 9)","(0, 3, 7)",ii,V,D,D,F,F,C,c,False,True,False,True,False,False,True,True,False,False
+8830,A,G,D,D,3,4,c,c,"(2, 5, 9)","(0, 3, 7)",ii,V,D,D,F,F,C,c,False,True,False,True,False,False,True,True,False,False
+8831,A,G,D,D,3,4,c,c,"(2, 5, 9)","(3, 7, 10)",ii,V,D,D,F,F,C,c,False,True,False,True,False,False,True,True,False,False
+8832,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,viio,C,C,E-,E-,c,c,True,True,True,True,True,False,True,True,True,True
+8833,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,viio,C,C,E-,E-,c,c,True,True,True,True,True,False,True,True,True,True
+8834,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,viio,C,C,E-,E-,c,c,True,True,True,True,True,False,True,True,True,True
+8835,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8836,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8837,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8838,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8839,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8840,G,G,C,C,0,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8841,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8842,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8843,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8844,G,G,C,C,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8845,G,G,C,C,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8846,G,G,C,C,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8847,G,G,C,C,3,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8848,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8849,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8850,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8851,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8852,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8853,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8854,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8855,G,G,C,C,4,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
+8856,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8857,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8858,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8859,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8860,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8861,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8862,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8863,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+8864,F#,E-,C,C,0,0,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,False,True,True,True,False,False,False,True,False,False
+8865,F#,G-,C,C,1,1,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,False,True,True,True,False,False,False,True,False,False
+8866,F#,F#,C,C,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8867,F#,F#,C,C,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8868,F#,F#,C,C,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8869,F#,F#,C,C,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8870,F#,F#,C,C,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8871,F#,F#,C,C,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 8)",viio7,V7,A,A-,E-,E-,g,c,True,True,True,True,False,False,False,True,False,False
+8872,E-,E-,A-,A-,0,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8873,E-,E-,A-,A-,1,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8874,E-,E-,A-,A-,2,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8875,E-,E-,A-,A-,2,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8876,E-,E-,A-,A-,3,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8877,E-,E-,A-,A-,3,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8878,E-,E-,A-,A-,3,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8879,E-,E-,A-,A-,3,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,A-,C,C,c,c,True,True,False,True,True,False,False,True,True,False
+8880,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8881,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8882,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8883,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8884,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8885,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8886,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8887,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+8888,C,D,F#,A-,0,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8889,C,D,F#,A-,1,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8890,C,D,F#,A-,2,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8891,C,D,F#,A-,2,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8892,C,D,F#,A-,3,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8893,C,D,F#,A-,3,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8894,C,D,F#,A-,3,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8895,C,D,F#,A-,3,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,False,True,True,False,False,False,True,False
+8896,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8897,D,D,G,A-,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,False,True,True,True,True,True,True,True,False
+8898,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8899,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8900,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8901,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8902,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8903,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8904,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8905,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8906,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8907,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8908,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8909,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8910,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8911,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8912,D,D,G,G,0,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8913,D,D,G,G,1,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8914,D,D,G,G,2,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8915,D,D,G,G,2,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8916,D,D,G,G,3,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8917,D,D,G,G,3,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8918,D,D,G,G,3,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8919,D,D,G,G,3,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8920,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8921,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8922,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8923,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8924,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8925,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8926,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8927,D,D,G,G,4,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+8928,C,D,F#,G,0,0,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8929,C,D,F#,G,1,1,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8930,C,D,F#,G,2,2,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8931,C,D,F#,G,2,2,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8932,C,D,F#,G,3,3,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8933,C,D,F#,G,3,3,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8934,C,D,F#,G,3,3,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8935,C,D,F#,G,3,3,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,True,True,False,False,False,False,True,False
+8936,C,D,F#,A-,4,0,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8937,C,D,F#,A-,4,1,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8938,C,D,F#,A-,4,2,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8939,C,D,F#,A-,4,2,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8940,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8941,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8942,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8943,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8944,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8945,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8946,C,D,F#,A-,5,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8947,C,D,F#,A-,5,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8948,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8949,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8950,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8951,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8952,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8953,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8954,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8955,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8956,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8957,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8958,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8959,C,D,F#,A-,5,5,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,True,True,True,True,False,False,True,False
+8960,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V7,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8961,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V7,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8962,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V7,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8963,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V7,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8964,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8965,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8966,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8967,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8968,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8969,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8970,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8971,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8972,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8973,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8974,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8975,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+8976,C,D,F#,G,0,5,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V,D,G,A-,B,c,c,False,False,False,True,False,False,False,False,True,False
+8977,C,D,F#,G,1,5,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V,D,G,A-,B,c,c,False,False,False,True,False,False,False,False,True,False
+8978,C,D,F#,G,2,5,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,False,True,False,False,False,False,True,False
+8979,C,D,F#,G,2,5,c,c,"(0, 2, 6, 8)","(2, 7, 11)",Fr7,V7,D,G,A-,B,c,c,False,False,False,True,False,False,False,False,True,False
+8980,C,D,F#,A-,3,0,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8981,C,D,F#,A-,3,1,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8982,C,D,F#,A-,3,2,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8983,C,D,F#,A-,3,2,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8984,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8985,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8986,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8987,C,D,F#,A-,4,3,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Fr7,D,F#,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+8988,C,D,F#,A-,4,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,True,True,True,False,False,False,True,False
+8989,C,D,F#,A-,4,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,True,True,True,False,False,False,True,False
+8990,C,D,F#,A-,4,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,True,True,True,False,False,False,True,False
+8991,C,D,F#,A-,4,4,c,c,"(0, 2, 6, 8)","(0, 2, 6, 8)",Fr7,Ger7,D,F#,A-,C,c,c,False,False,True,True,True,False,False,False,True,False
+8992,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8993,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+8994,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
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+13059,G,A-,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,False,True,True,True,True,True,True,True,True,False
+13060,G,A-,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,False,True,True,True,True,True,True,True,True,False
+13061,G,A-,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,False,True,True,True,True,True,True,True,True,False
+13062,G,A-,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,False,True,True,True,True,True,True,True,True,False
+13063,G,A-,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,False,True,True,True,True,True,True,True,True,False
+13064,B,B,D,D,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13065,B,B,D,D,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13066,B,B,D,D,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13067,B,B,D,D,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13068,B,B,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13069,B,B,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13070,B,B,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13071,B,B,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13072,C,C,E-,E-,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13073,C,C,E-,E-,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13074,C,C,E-,E-,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13075,C,C,E-,E-,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13076,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13077,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13078,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13079,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+13080,B,G,D,D,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,C,G,G,c,c,False,True,True,True,True,True,False,True,True,False
+13081,B,G,D,D,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,C,G,G,c,c,False,True,True,True,True,True,False,True,True,False
+13082,B,G,D,D,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,C,G,G,c,c,False,True,True,True,True,True,False,True,True,False
+13083,B,G,D,D,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,C,G,G,c,c,False,True,True,True,True,True,False,True,True,False
+13084,B,G,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,False,True,True,True,True,True,True,True,True,False
+13085,B,G,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,False,True,True,True,True,True,True,True,True,False
+13086,B,G,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,False,True,True,True,True,True,True,True,True,False
+13087,B,G,D,D,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,G,G,c,c,False,True,True,True,True,True,True,True,True,False
+13088,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13089,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13090,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13091,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13092,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13093,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13094,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13095,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+13096,E-,G,B-,B-,0,0,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,E-,A-,A-,False,True,True,True,True,True,True,False,True,False
+13097,E-,G,B-,B-,1,1,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,E-,A-,A-,False,True,True,True,True,True,True,False,True,False
+13098,E-,G,B-,B-,2,2,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,E-,A-,A-,False,True,True,True,True,True,True,False,True,False
+13099,E-,G,B-,B-,2,2,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,E-,A-,A-,False,True,True,True,True,True,True,False,True,False
+13100,E-,G,B-,B-,3,3,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,D-,A-,A-,False,True,True,True,True,True,True,True,True,False
+13101,E-,G,B-,B-,3,3,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,D-,A-,A-,False,True,True,True,True,True,True,True,True,False
+13102,E-,G,B-,B-,3,3,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,D-,A-,A-,False,True,True,True,True,True,True,True,True,False
+13103,E-,G,B-,B-,3,3,c,c,"(1, 3, 7, 10)","(1, 3, 7, 10)",V7,V7,G,G,D-,D-,A-,A-,False,True,True,True,True,True,True,True,True,False
+13104,E-,E-,A-,A-,0,0,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13105,E-,E-,A-,A-,1,1,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13106,E-,E-,A-,A-,2,2,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13107,E-,E-,A-,A-,2,2,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13108,E-,E-,A-,A-,3,3,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13109,E-,E-,A-,A-,3,3,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13110,E-,E-,A-,A-,3,3,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13111,E-,E-,A-,A-,3,3,c,c,"(0, 3, 8)","(0, 3, 8)",VI,I,A-,A-,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+13112,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13113,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13114,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13115,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13116,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13117,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13118,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13119,E-,E-,A-,A-,4,4,c,c,"(0, 3, 8)","(0, 3, 8)",VI,VI,A-,A-,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13120,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13121,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13122,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13123,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13124,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13125,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13126,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13127,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13128,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13129,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13130,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13131,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13132,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13133,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13134,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13135,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,True,True,True,True,True,False
+13136,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13137,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13138,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13139,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13140,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13141,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13142,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13143,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+13144,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13145,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13146,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13147,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13148,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13149,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13150,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13151,E-,D,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 2, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,False,True,True,True,False,True,True,True,True,False
+13152,E,E,G,G,0,0,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,G,C,C,True,True,True,True,True,True,True,False,True,False
+13153,E,E,G,G,1,1,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,True,True,True,True,True,True,True,False,True,False
+13154,E,E,G,G,2,2,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,True,True,True,True,True,True,True,False,True,False
+13155,E,E,G,G,2,2,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,True,True,True,True,True,True,True,False,True,False
+13156,E,E,G,G,3,3,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,True,True,True,True,True,True,True,False,True,False
+13157,E,E,G,G,3,3,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,True,True,True,True,True,True,True,False,True,False
+13158,E,G,G,G,3,3,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13159,E,G,G,G,3,3,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13160,E,G,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13161,E,G,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13162,E,G,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13163,E,G,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13164,E,C,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13165,E,C,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13166,E,C,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13167,E,C,G,G,4,4,C,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,C,E,C,C,False,True,True,True,True,True,True,False,True,False
+13168,C,C,F,F,0,0,C,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,A,A,C,C,True,True,True,True,True,True,True,True,True,True
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+15857,A-,A-,D-,D-,1,1,f,F,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,False,True,True,True,True,True,False
+15858,A-,A-,D-,D-,2,2,f,F,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,False,True,True,True,True,True,False
+15859,A-,A-,D-,D-,2,2,f,F,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,False,True,True,True,True,True,False
+15860,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15861,A-,A-,D-,D-,3,3,f,F,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,False,True,True,True,True,True,False
+15862,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15863,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15864,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15865,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15866,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15867,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15868,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15869,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15870,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15871,A-,A-,D-,D-,4,4,f,f,"(1, 5, 8)","(1, 5, 8)",VI,VI,D-,D-,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15872,A-,A-,D-,D-,0,0,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15873,A-,A-,D-,D-,1,1,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15874,A-,A-,D-,D-,2,2,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15875,A-,A-,D-,D-,2,2,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15876,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15877,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15878,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15879,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,f,True,True,True,True,True,True,True,True,True,True
+15880,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15881,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15882,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15883,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15884,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15885,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15886,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15887,A-,G,D-,D-,4,4,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,True,True,False,True,True,True,False
+15888,A-,A-,D-,D-,0,0,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15889,A-,A-,D-,D-,1,1,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15890,A-,A-,D-,D-,2,2,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15891,A-,A-,D-,D-,2,2,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15892,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15893,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15894,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15895,A-,A-,D-,D-,3,3,f,f,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,True,True,True,True,True,False,True,True,True,True
+15896,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,False,True,False,True,True,True,False
+15897,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,False,True,False,True,True,True,False
+15898,A-,G,D-,D-,4,2,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,False,False,True,False,True,True,True,False
+15899,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,f,False,True,True,False,True,False,True,True,True,False
+15900,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,G,F,F,f,f,False,True,True,False,True,False,False,True,True,False
+15901,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,G,F,F,f,f,False,True,True,False,True,False,False,True,True,False
+15902,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,G,F,F,f,f,False,True,True,False,True,False,False,True,True,False
+15903,A-,G,D-,D-,4,4,f,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,G,F,F,f,f,False,True,True,False,True,False,False,True,True,False
+15904,A,C,C,C,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,V,F,F,F,C,F,F,False,True,True,True,True,False,True,False,True,False
+15905,A,F,C,C,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,False,True,True,True,True,True,True,True,True,False
+15906,A,C,C,C,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,False,True,True,True,True,True,True,True,True,False
+15907,A,C,C,C,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,False,True,True,True,True,True,True,True,True,False
+15908,A,C,C,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15909,A,C,C,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15910,A,C,C,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15911,A,C,C,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15912,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15913,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15914,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15915,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15916,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15917,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15918,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15919,A,C,C,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,A,F,F,False,False,True,True,True,True,True,False,True,False
+15920,F,F,B-,B-,0,0,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15921,F,F,B-,B-,1,1,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15922,F,F,B-,B-,2,2,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15923,F,F,B-,B-,2,2,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15924,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15925,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15926,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15927,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15928,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15929,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15930,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15931,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15932,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15933,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15934,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15935,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,IV,B-,B-,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+15936,C,C,G,G,0,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15937,C,C,G,G,1,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15938,C,C,G,G,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15939,C,C,G,G,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15940,C,C,G,G,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15941,C,C,G,G,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15942,C,C,G,G,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15943,C,C,G,G,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15944,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15945,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15946,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15947,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15948,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15949,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15950,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15951,C,C,G,G,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,E,E,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+15952,C,B-,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,V7,F,F,A,B-,F,F,False,True,True,True,True,False,True,False,True,False
+15953,C,B-,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,V7,F,F,A,A,F,F,False,True,True,True,True,False,True,True,True,False
+15954,C,B-,F,E,2,2,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,B-,F,F,False,False,True,True,False,False,False,False,True,False
+15955,C,B-,F,E,2,2,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,B-,F,F,False,False,True,True,False,False,False,False,True,False
+15956,C,B-,F,C,3,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,B-,A,A,F,F,False,False,False,True,True,True,False,True,True,False
+15957,C,B-,F,C,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,B-,A,A,F,F,False,False,True,True,True,True,False,True,True,False
+15958,C,B-,F,C,3,3,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,E,F,F,False,False,True,True,False,False,False,False,True,False
+15959,C,B-,F,C,3,2,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,A,F,F,False,False,False,True,False,False,False,True,True,False
+15960,C,C,F,C,4,0,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,I,F,B-,A,A,F,F,True,False,False,True,False,True,False,True,True,False
+15961,C,C,F,C,4,3,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,I,F,B-,A,A,F,F,True,False,False,True,False,True,False,True,True,False
+15962,C,C,F,C,4,4,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,I,F,B-,A,A,F,F,True,False,True,True,False,True,False,True,True,False
+15963,C,C,F,C,4,4,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,I,F,B-,A,A,F,F,True,False,True,True,False,True,False,True,True,False
+15964,C,C,F,C,4,4,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,B-,F,F,True,False,True,True,False,False,False,False,True,False
+15965,C,C,F,C,4,4,F,F,"(0, 5, 9)","(0, 4, 7, 10)",I,V7,F,B-,A,B-,F,F,True,False,True,True,False,False,False,False,True,False
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+17907,E,E,A,A,2,2,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
+17908,E,E,A,A,3,3,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
+17909,E,E,A,A,3,3,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
+17910,E,E,A,A,3,3,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
+17911,E,E,A,A,3,3,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
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+17913,E,E,A,A,4,4,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
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+17915,E,E,A,A,4,4,d,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,True,True,True,True,True,True,True
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+17925,B-,A,D,D,1,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,D,F,F,d,d,False,True,False,True,False,False,False,True,True,False
+17926,B-,A,D,D,2,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,D,F,F,d,d,False,True,False,True,False,False,False,True,True,False
+17927,B-,A,D,D,2,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,D,F,F,d,d,False,True,False,True,False,False,False,True,True,False
+17928,B-,B-,D,D,3,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,B-,F,F,d,d,True,True,False,True,False,False,True,True,True,True
+17929,B-,B-,D,D,3,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,B-,F,F,d,d,True,True,False,True,False,False,True,True,True,True
+17930,B-,B-,D,D,3,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,B-,F,F,d,d,True,True,False,True,False,False,True,True,True,True
+17931,B-,B-,D,D,3,4,d,d,"(2, 5, 10)","(2, 5, 9)",VI,i,B-,B-,F,F,d,d,True,True,False,True,False,False,True,True,True,True
+17932,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17933,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17934,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17935,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17936,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17937,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17938,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
+17939,B-,B-,D,D,4,5,d,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,F,F,d,d,True,True,False,True,True,False,True,True,True,True
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+17941,A-,G,D-,D-,1,1,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,iiø7,B,B,F,F,F,d,False,True,True,False,False,False,True,True,False,False
+17942,A-,G,D-,D-,2,2,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,iiø7,B,B,F,F,F,d,False,True,True,False,False,False,True,True,False,False
+17943,A-,G,D-,D-,2,2,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,iiø7,B,B,F,F,F,d,False,True,True,False,False,False,True,True,False,False
+17944,A-,G,D-,D-,3,3,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B,F,F,F,G-,False,True,True,False,False,False,True,True,False,False
+17945,A-,G,D-,D-,3,3,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B,F,F,F,G-,False,True,True,False,False,False,True,True,False,False
+17946,A-,G,D-,D-,3,3,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B,F,F,F,G-,False,True,True,False,False,False,True,True,False,False
+17947,A-,G,D-,D-,3,3,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B,F,F,F,G-,False,True,True,False,False,False,True,True,False,False
+17948,A-,G,D-,D-,4,4,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B-,F,F,F,G-,False,True,True,False,False,False,False,True,False,False
+17949,A-,G,D-,D-,4,4,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B-,F,F,F,G-,False,True,True,False,False,False,False,True,False,False
+17950,A-,G,D-,D-,4,4,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B-,F,F,F,G-,False,True,True,False,False,False,False,True,False,False
+17951,A-,G,D-,D-,4,4,F,d,"(1, 5, 8, 11)","(1, 5, 7, 11)",Ger7,Fr7,B,B-,F,F,F,G-,False,True,True,False,False,False,False,True,False,False
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+17956,G,G,C,C,3,3,F,d,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,False,True,True,True,True,True,False
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+18002,C,C,F,F,2,2,F,b-,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,E-,E-,A,A,B-,b-,True,True,True,False,True,True,True,True,False,False
+18003,C,C,F,F,2,2,F,b-,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,E-,E-,A,A,B-,b-,True,True,True,False,True,True,True,True,False,False
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+18006,C,C,F,F,3,3,F,b-,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,E-,E-,A,A,B-,b-,True,True,True,False,True,True,True,True,False,False
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+18465,E,A,A,A,4,4,F,F,"(1, 4, 9)","(1, 4, 9)",V,I,A,D,C#,A,d,d,False,True,True,True,True,False,False,False,True,False
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+18467,E,A,A,A,4,4,F,F,"(1, 4, 9)","(1, 4, 9)",V,I,A,D,C#,A,d,d,False,True,True,True,True,False,False,False,True,False
+18468,A,A,D,D,0,0,F,F,"(2, 5, 9)","(2, 5, 9)",vi,vi,D,D,F,A,F,F,True,True,True,True,True,True,True,False,True,False
+18469,A,A,D,D,1,1,F,F,"(2, 5, 9)","(2, 5, 9)",vi,vi,D,D,F,A,F,F,True,True,True,True,True,True,True,False,True,False
+18470,A,A,D,D,2,2,F,F,"(2, 5, 9)","(2, 5, 9)",vi,vi,D,D,F,A,F,F,True,True,True,True,True,True,True,False,True,False
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+18475,A,A,D,A,3,3,F,F,"(2, 5, 9)","(2, 5, 9)",vi,vi,D,D,F,A,F,F,True,False,True,True,True,True,True,False,True,False
+18476,A,G,D,A,4,0,F,F,"(2, 5, 9)","(2, 7, 10)",vi,viio,D,G,F,A,F,F,False,False,False,True,False,False,False,False,True,False
+18477,A,G,D,A,4,4,F,F,"(2, 5, 9)","(2, 7, 10)",vi,viio,D,G,F,A,F,F,False,False,True,True,False,False,False,False,True,False
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+18480,D,D,G,G,0,0,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
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+18484,D,D,G,G,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18485,D,D,G,G,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18486,D,D,G,G,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18487,D,D,G,G,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18488,D,D,G,G,4,4,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18489,D,D,G,G,4,4,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
+18490,D,D,G,G,4,4,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,B-,B-,F,F,True,True,True,True,True,True,True,True,True,True
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+18494,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18495,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18496,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18497,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
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+18499,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18500,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18501,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
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+18529,G-,G-,B-,B-,1,1,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18530,G-,G-,B-,B-,2,2,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18531,G-,G-,B-,B-,2,2,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18532,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18533,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18534,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18535,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18536,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18537,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18538,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
+18539,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,IV,G-,G-,D-,D-,F,F,True,True,True,True,True,False,True,True,True,True
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+18541,A-,G,D-,D-,1,1,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,F,False,True,True,True,False,False,True,True,True,False
+18542,A-,G,D-,D-,2,2,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18543,A-,G,D-,D-,2,2,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18544,A-,G,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18545,A-,G,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18546,A-,G,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18547,A-,G,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18548,A-,G,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18549,A-,G,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18550,A-,G,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18551,A-,G,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18552,G,G,C,C,0,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18553,G,G,C,C,1,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18554,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18555,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18556,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18557,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18558,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18559,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18560,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18561,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18562,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18563,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18564,C,C,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18565,C,C,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18566,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18567,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18568,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18569,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18570,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18571,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18572,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18573,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18574,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18575,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18576,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18577,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18578,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18579,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18580,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18581,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18582,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18583,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18584,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18585,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18586,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18587,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18588,F,F,B-,B-,0,0,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18589,F,F,B-,B-,1,1,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18590,F,F,B-,B-,2,2,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18591,F,F,B-,B-,2,2,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18592,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18593,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18594,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18595,F,F,B-,B-,3,3,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18596,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18597,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,V7,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18598,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18599,F,F,B-,B-,4,4,F,F,"(2, 5, 10)","(2, 5, 10)",IV,I,B-,B-,D,D,F,F,True,True,True,True,True,False,True,True,True,True
+18600,B-,B-,E-,E-,0,0,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,B-,True,True,True,True,True,False,True,True,True,True
+18601,B-,B-,E-,E-,1,1,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18602,B-,B-,E-,E-,2,2,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,B-,True,True,True,True,True,False,True,True,True,True
+18603,B-,B-,E-,E-,2,2,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18604,B-,B-,E-,E-,3,3,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,B-,True,True,True,True,True,False,True,True,True,True
+18605,B-,B-,E-,E-,3,3,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18606,B-,B-,E-,E-,3,3,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18607,B-,B-,E-,E-,3,3,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18608,B-,B-,E-,E-,4,4,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18609,B-,B-,E-,E-,4,4,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,B-,True,True,True,True,True,False,True,True,True,True
+18610,B-,B-,E-,E-,4,4,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,B-,True,True,True,True,True,False,True,True,True,True
+18611,B-,B-,E-,E-,4,4,F,F,"(3, 7, 10)","(3, 7, 10)",IV,V,E-,E-,G,G,B-,F,True,True,True,True,True,False,True,True,False,True
+18612,E-,E-,A,A,0,0,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18613,E-,E-,A,A,1,1,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18614,E-,E-,A,A,2,2,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18615,E-,E-,A,A,2,2,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18616,E-,E-,A,A,3,3,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18617,E-,E-,A,A,3,3,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18618,E-,E-,A,A,3,3,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18619,E-,E-,A,A,3,3,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18620,E-,E-,A,A,4,4,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18621,E-,E-,A,A,4,4,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18622,E-,E-,A,A,4,4,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18623,E-,E-,A,A,4,4,F,F,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,G-,G-,C,C,b-,b-,True,True,True,True,True,True,True,True,True,True
+18624,E-,E-,A,A,0,0,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18625,E-,E-,A,A,1,1,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18626,E-,E-,A,A,2,2,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18627,E-,E-,A,A,2,2,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18628,E-,E-,A,A,3,3,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18629,E-,E-,A,A,3,3,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18630,E-,E-,A,A,3,3,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18631,E-,E-,A,A,3,3,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18632,E-,E-,A,A,4,4,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18633,E-,E-,A,A,4,4,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18634,E-,E-,A,A,4,4,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18635,E-,E-,A,A,4,4,F,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",V7,V7,F,F,C,C,B-,b-,True,True,True,True,True,True,True,True,False,True
+18636,F,F,B-,B-,0,0,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18637,F,F,B-,B-,1,1,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18638,F,F,B-,B-,2,2,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18639,F,F,B-,B-,2,2,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18640,F,F,B-,B-,3,3,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18641,F,F,B-,B-,3,3,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,True,True,True,True,True,False,True,True,True,True
+18642,F,B-,B-,B-,3,3,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,False,True,True,True,True,False,True,True,True,False
+18643,F,B-,B-,B-,3,3,F,F,"(1, 5, 10)","(1, 5, 10)",iv,i,B-,B-,D-,D-,f,f,False,True,True,True,True,False,True,True,True,False
+18644,F,B-,B-,B-,4,4,F,F,"(1, 5, 10)","(1, 4, 7, 10)",iv,viio7,B-,B-,D-,B-,f,f,False,True,True,True,False,False,True,False,True,False
+18645,F,B-,B-,B-,4,4,F,F,"(1, 5, 10)","(1, 4, 7, 10)",iv,viio7,B-,B-,D-,B-,f,f,False,True,True,True,False,False,True,False,True,False
+18646,F,B-,B-,B-,4,4,F,F,"(1, 5, 10)","(1, 4, 7, 10)",iv,viio7,B-,B-,D-,B-,f,f,False,True,True,True,False,False,True,False,True,False
+18647,F,B-,B-,B-,4,4,F,F,"(1, 5, 10)","(1, 4, 7, 10)",iv,viio7,B-,B-,D-,B-,f,f,False,True,True,True,False,False,True,False,True,False
+18648,B-,B-,E,E,0,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,f,True,True,True,True,True,True,True,True,False,True
+18649,B-,B-,E,E,1,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18650,B-,B-,E,E,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18651,B-,B-,E,E,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18652,B-,B-,E,E,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18653,B-,B-,E,E,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18654,B-,B-,E,E,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18655,B-,B-,E,E,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,C,G,G,F,F,True,True,True,True,True,True,True,True,True,True
+18656,B-,G,E,C,4,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,B-,G,E,F,F,False,False,False,True,True,True,False,False,True,False
+18657,B-,G,E,C,4,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,B-,G,E,F,F,False,False,False,True,True,True,False,False,True,False
+18658,B-,G,E,C,4,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,B-,G,E,F,F,False,False,False,True,True,True,False,False,True,False
+18659,B-,G,E,C,4,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,C,B-,G,E,F,F,False,False,False,True,True,True,False,False,True,False
+18660,C,C,F,F,0,0,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18661,C,C,F,F,1,1,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18662,C,C,F,F,2,2,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18663,C,C,F,F,2,2,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18664,C,C,F,F,3,3,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18665,C,C,F,F,3,3,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18666,C,C,F,F,3,3,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18667,C,C,F,F,3,3,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18668,C,C,F,F,4,4,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18669,C,C,F,F,4,4,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18670,C,C,F,F,4,4,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18671,C,C,F,F,4,4,F,F,"(0, 5, 8)","(0, 5, 8)",i,i,F,F,A-,A-,f,f,True,True,True,True,True,True,True,True,True,True
+18672,G-,G-,B-,B-,0,0,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18673,G-,G-,B-,B-,1,1,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18674,G-,G-,B-,B-,2,2,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18675,G-,G-,B-,B-,2,2,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18676,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18677,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18678,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18679,G-,G-,B-,B-,3,3,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18680,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18681,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18682,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18683,G-,G-,B-,B-,4,4,F,F,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,D-,F,f,True,True,True,True,True,False,True,True,False,True
+18684,A-,G,D-,D-,0,0,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,V7,B,B,F,F,F,f,False,True,True,True,False,False,True,True,False,False
+18685,A-,G,D-,D-,1,1,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,False,True,True,True,False,True,True,True,False,False
+18686,A-,G,D-,D-,2,2,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,False,True,True,True,False,True,True,True,False,False
+18687,A-,G,D-,D-,2,2,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,False,True,True,True,False,True,True,True,False,False
+18688,A-,A-,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,False,True,True,True,False,True
+18689,A-,A-,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,False,True,True,True,False,True
+18690,A-,A-,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,False,True,True,True,False,True
+18691,A-,A-,D-,D-,3,3,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,False,True,True,True,False,True
+18692,A-,A-,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,False,True,True,True,False,True
+18693,A-,A-,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,True,True,True,True,False,True
+18694,A-,A-,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,True,True,True,True,False,True
+18695,A-,A-,D-,D-,4,4,F,F,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,F,f,True,True,True,True,True,True,True,True,False,True
+18696,G,G,C,C,0,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18697,G,G,C,C,1,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18698,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18699,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18700,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18701,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18702,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18703,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18704,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18705,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18706,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18707,G,G,C,C,4,4,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+18708,C,C,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18709,C,C,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18710,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18711,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18712,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18713,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18714,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18715,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18716,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18717,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18718,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18719,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18720,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18721,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18722,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18723,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18724,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18725,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18726,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18727,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18728,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18729,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18730,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18731,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18732,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18733,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18734,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18735,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18736,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18737,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18738,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18739,C,C,F,F,5,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+18740,C,C,F,F,6,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,False,True,True,True,True,True,True,True
+18741,C,C,F,F,6,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,False,True,True,True,True,True,True,True
+18742,C,C,F,F,6,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,False,True,True,True,True,True,True,True
+18743,C,C,F,F,6,5,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,False,True,True,True,True,True,True,True
+18744,G,B-,B-,E,0,0,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18745,G,B-,B-,E,1,1,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18746,G,B-,B-,E,2,2,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18747,G,B-,B-,E,2,2,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18748,G,B-,B-,E,3,3,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18749,G,B-,B-,E,3,3,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18750,G,B-,B-,E,3,3,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18751,G,B-,B-,E,3,3,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18752,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18753,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18754,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18755,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18756,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
+18757,G,B-,B-,E,4,4,F,F,"(4, 7, 10)","(4, 7, 10)",viio,viio,E,E,E,B-,F,F,False,False,True,True,True,True,True,False,True,False
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+20260,C#,D,F#,F#,3,3,D,D,"(1, 6, 10)","(1, 6, 10)",V,I,F#,D,A#,A#,b,D,False,True,True,True,True,False,False,True,False,False
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+20263,C#,D,F#,F#,3,3,D,D,"(1, 6, 10)","(1, 6, 10)",V,I,F#,D,A#,A#,b,D,False,True,True,True,True,False,False,True,False,False
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+20265,C#,D,F#,F#,4,4,D,D,"(1, 6, 10)","(2, 6, 11)",V,I,F#,D,A#,D,b,D,False,True,True,True,False,False,False,False,False,False
+20266,C#,D,F#,F#,4,4,D,D,"(1, 6, 10)","(2, 6, 11)",V,I,F#,D,A#,D,b,D,False,True,True,True,False,False,False,False,False,False
+20267,C#,D,F#,F#,4,4,D,D,"(1, 6, 10)","(2, 6, 11)",V,I,F#,D,A#,D,b,D,False,True,True,True,False,False,False,False,False,False
+20268,F#,F#,B,B,0,0,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+20269,F#,F#,B,B,1,1,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+20270,F#,F#,B,B,2,2,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+20271,F#,F#,B,B,2,2,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+20272,F#,F#,B,B,3,5,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+20273,F#,F#,B,B,3,5,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+20274,F#,F#,B,B,3,5,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+20275,F#,F#,B,B,3,5,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+20276,F#,D,B,G,4,0,D,D,"(2, 6, 11)","(4, 7, 11)",vi,ii,B,E,D,B,D,D,False,False,False,True,False,False,False,False,True,False
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+20279,F#,D,B,G,4,2,D,D,"(2, 6, 11)","(2, 6, 11)",vi,vi,B,B,D,B,D,D,False,False,False,True,True,True,True,False,True,False
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+20282,B,B,E,E,2,2,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20283,B,B,E,E,2,2,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20284,B,B,E,E,3,3,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20285,B,B,E,E,3,3,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20286,B,B,E,E,3,3,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20287,B,B,E,E,3,3,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,E,G,G,D,D,True,True,True,True,True,True,True,True,True,True
+20288,B,B,E,E,4,4,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,G,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+20289,B,B,E,E,4,4,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,G,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+20290,B,B,E,E,4,4,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,G,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+20291,B,B,E,E,4,4,D,D,"(4, 7, 11)","(4, 7, 11)",ii,ii,E,G,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+20292,E,E,A,A,0,0,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20293,E,E,A,A,1,1,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20294,E,E,A,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20295,E,E,A,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20296,E,E,A,A,3,3,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20297,E,E,A,A,3,3,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20298,E,E,A,A,3,3,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20299,E,E,A,A,3,3,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20300,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20301,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20302,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20303,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20304,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20305,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20306,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20307,E,E,A,A,4,4,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20308,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20309,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20310,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20311,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20312,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20313,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20314,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+20315,E,E,A,A,5,5,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
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+20317,F#,F,B,B-,1,1,D,D,"(3, 6, 11)","(2, 5, 10)",V,I,B,B-,D#,D,e,d,False,False,True,True,False,False,False,False,False,False
+20318,F#,F,B,B-,2,2,D,D,"(3, 6, 11)","(2, 5, 10)",V,I,B,B-,D#,D,e,d,False,False,True,True,False,False,False,False,False,False
+20319,F#,F,B,B-,2,2,D,D,"(3, 6, 11)","(2, 5, 10)",V,I,B,B-,D#,D,e,d,False,False,True,True,False,False,False,False,False,False
+20320,F#,F,B,B-,3,3,D,D,"(3, 6, 11)","(2, 5, 10)",V,I,B,B-,D#,D,e,d,False,False,True,True,False,False,False,False,False,False
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+20329,E-,E-,G,G,1,1,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20330,E-,E-,G,G,2,2,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20331,E-,E-,G,G,2,2,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20332,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20333,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20334,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20335,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
+20336,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
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+20338,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,d,True,True,True,False,True,True,True,True,False,False
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+20342,F,F,B-,B-,2,2,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,It,G#,G#,D,D,D,d,True,True,True,False,False,False,True,True,False,False
+20343,F,F,B-,B-,2,2,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,It,G#,G#,D,D,D,d,True,True,True,False,False,False,True,True,False,False
+20344,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20345,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20346,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20347,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20348,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20349,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20350,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20351,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20352,E,E,A,A,0,0,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20353,E,E,A,A,1,1,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20354,E,E,A,A,2,2,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20355,E,E,A,A,2,2,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20356,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20357,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20358,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20359,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20360,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20361,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20362,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20363,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,d,True,True,True,False,True,True,True,True,False,False
+20364,A,A,D,D,0,0,D,d,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,False,True,True,True,True,True,False
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+20474,E-,E-,G,G,2,2,D,g,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20475,E-,E-,G,G,2,2,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20476,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20477,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20478,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20479,E-,E-,G,G,3,3,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20480,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20481,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20482,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20483,E-,E-,G,G,4,4,D,d,"(3, 7, 10)","(3, 7, 10)",N,N,E-,E-,B-,B-,D,g,True,True,True,False,True,True,True,True,False,False
+20484,F,F,B-,B-,0,0,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,False,True,True,True,False,False
+20485,F,F,B-,B-,1,1,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,False,True,True,True,False,False
+20486,F,F,B-,B-,2,2,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,False,True,True,True,False,False
+20487,F,F,B-,B-,2,2,D,d,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,False,True,True,True,False,False
+20488,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20489,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20490,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20491,F,F,B-,B-,3,3,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20492,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20493,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20494,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20495,F,F,B-,B-,4,4,D,d,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,False,True,True,True,True,False,False
+20496,E,E,A,A,0,0,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20497,E,E,A,A,1,1,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20498,E,E,A,A,2,2,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20499,E,E,A,A,2,2,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20500,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20501,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20502,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20503,E,E,A,A,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20504,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20505,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20506,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20507,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
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+20511,A,A,D,D,2,2,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+20512,F#,A,A,D,0,3,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20513,F#,A,A,D,1,3,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20514,F#,A,A,D,2,3,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20515,F#,A,A,D,2,3,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20516,F#,A,A,D,3,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20517,F#,A,A,D,3,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20518,F#,A,A,D,3,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20519,F#,A,A,D,3,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20520,F#,A,A,D,4,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20521,F#,A,A,D,4,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20522,F#,A,A,D,4,4,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
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+20524,F#,A,A,D,4,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20525,F#,A,A,D,4,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20526,F#,A,A,D,4,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20527,F#,A,A,D,4,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,False,True,True,True,True,False,True,False
+20528,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20529,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20530,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20531,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20532,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20533,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
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+20536,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
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+20538,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20539,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
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+20541,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20542,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
+20543,F#,A,A,D,5,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,D,F#,D,D,False,False,True,True,True,True,True,False,True,False
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+20545,E,E,A,G,1,1,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,False,True,False,True,True,True,True,True,False
+20546,E,E,A,G,2,2,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,False,True,False,True,True,True,True,True,False
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+20548,E,E,A,G,3,3,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,False,True,False,True,True,True,True,True,False
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+20552,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
+20553,E,E,A,A,4,4,D,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,False,True,True,True,True,True,False
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+23912,A,A,D,D,4,4,G,G,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,G,G,True,True,True,True,True,True,True,True,True,True
+23913,A,A,D,D,4,4,G,G,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,G,G,True,True,True,True,True,True,True,True,True,True
+23914,D,D,G,G,0,0,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23915,D,D,G,G,1,1,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23916,D,D,G,G,2,2,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23917,D,D,G,G,2,2,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23918,D,D,G,G,3,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23919,D,D,G,G,3,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23920,D,D,G,G,3,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23921,D,D,G,G,3,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,B,G,G,True,True,True,True,True,True,True,True,True,True
+23922,D,G,G,B,4,0,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23923,D,G,G,B,4,1,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23924,D,G,G,B,4,2,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23925,D,G,G,B,4,2,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23926,D,G,G,B,4,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23927,D,G,G,B,4,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23928,D,G,G,B,4,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23929,D,G,G,B,4,3,G,G,"(2, 7, 11)","(2, 7, 11)",I,I,G,G,B,D,G,G,False,False,False,True,True,True,True,False,True,False
+23930,A,A,D,D,0,0,G,G,"(2, 5, 9)","(2, 5, 9)",ii,I,D,D,F,F,C,C,True,True,True,True,True,False,True,True,True,True
+23931,A,B,D,D,1,1,G,G,"(2, 5, 9)","(2, 5, 9)",ii,I,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23932,A,B,D,D,2,2,G,G,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23933,A,B,D,D,2,2,G,G,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23934,A,B,D,D,3,3,G,G,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23935,A,B,D,D,3,3,G,G,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23936,A,B,D,D,3,3,G,G,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23937,A,B,D,D,3,3,G,G,"(2, 5, 9)","(2, 5, 9)",ii,I,D,D,F,F,C,C,False,True,True,True,True,False,True,True,True,False
+23938,A,D,D,F,4,0,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,False,True,True,False,True,False,True,False
+23939,A,D,D,F,4,1,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,False,True,True,False,True,False,True,False
+23940,A,D,D,F,4,2,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,False,True,True,False,True,False,True,False
+23941,A,D,D,F,4,2,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,False,True,True,False,True,False,True,False
+23942,A,D,D,F,4,4,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,True,True,True,False,True,False,True,False
+23943,A,D,D,F,4,4,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,True,True,True,False,True,False,True,False
+23944,A,D,D,F,4,4,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,True,True,True,False,True,False,True,False
+23945,A,D,D,F,4,4,G,G,"(2, 5, 9)","(2, 5, 9)",ii,viio,D,D,F,B,C,C,False,False,True,True,True,False,True,False,True,False
+23946,E,E,A,A,0,0,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,C,True,True,True,False,False,False,True,True,False,False
+23947,E,E,A,A,1,1,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23948,E,E,A,A,2,2,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23949,E,E,A,A,2,2,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23950,E,E,A,A,3,3,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23951,E,E,A,A,3,3,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23952,E,E,A,A,3,3,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23953,E,E,A,A,3,3,G,e,"(0, 4, 9)","(0, 5, 9)",ii,IV,A,A,C,C,G,e,True,True,True,False,False,False,True,True,False,False
+23954,E,A,A,C,4,0,G,e,"(0, 4, 9)","(0, 4, 9)",ii,ii,A,A,C,E,G,e,False,False,False,False,True,True,True,False,False,False
+23955,E,A,A,C,4,1,G,e,"(0, 4, 9)","(0, 4, 9)",ii,ii,A,A,C,E,G,e,False,False,False,False,True,True,True,False,False,False
+23956,E,A,A,C,4,2,G,e,"(0, 4, 9)","(0, 4, 9)",ii,ii,A,A,C,E,G,e,False,False,False,False,True,True,True,False,False,False
+23957,E,A,A,C,4,2,G,e,"(0, 4, 9)","(0, 4, 9)",ii,ii,A,A,C,E,G,e,False,False,False,False,True,True,True,False,False,False
+23958,E,A,A,C,4,3,G,e,"(0, 4, 9)","(0, 4, 9)",ii,iv,A,A,C,E,G,e,False,False,False,False,True,False,True,False,False,False
+23959,E,A,A,C,4,4,G,e,"(0, 4, 9)","(0, 4, 9)",ii,ii,A,A,C,E,G,e,False,False,True,False,True,True,True,False,False,False
+23960,E,A,A,C,4,4,G,e,"(0, 4, 9)","(0, 4, 9)",ii,iv,A,A,C,E,G,e,False,False,True,False,True,False,True,False,False,False
+23961,E,A,A,C,4,4,G,e,"(0, 4, 9)","(0, 4, 9)",ii,iv,A,A,C,E,G,e,False,False,True,False,True,False,True,False,False,False
+23962,B,C,E,E,0,0,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23963,B,C,E,E,1,1,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23964,B,C,E,E,2,2,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23965,B,C,E,E,2,2,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23966,B,C,E,E,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23967,B,C,E,E,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23968,B,C,E,E,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23969,B,C,E,E,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,I,E,E,G,G,e,e,False,True,True,True,True,False,True,True,True,False
+23970,E,E,G,G,0,0,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23971,E,E,G,G,1,1,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23972,E,E,G,G,2,2,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23973,E,E,G,G,2,2,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23974,E,E,G,G,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23975,E,E,G,G,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23976,E,E,G,G,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23977,E,E,G,G,3,3,e,e,"(4, 7, 11)","(4, 7, 11)",i,i,E,E,B,B,e,e,True,True,True,True,True,True,True,True,True,True
+23978,F#,F#,B,B,0,0,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23979,F#,F#,B,B,1,1,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23980,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23981,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23982,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23983,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23984,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23985,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23986,G,G,C,C,0,0,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23987,G,G,C,C,1,1,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23988,G,G,C,C,2,2,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23989,G,G,C,C,2,2,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23990,G,G,C,C,3,3,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23991,G,G,C,C,3,3,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23992,G,G,C,C,3,3,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23993,G,G,C,C,3,3,e,e,"(0, 4, 7)","(0, 4, 7)",VI,I,C,C,E,E,e,e,True,True,True,True,True,False,True,True,True,True
+23994,F#,F#,B,B,0,0,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23995,F#,F#,B,B,1,1,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23996,F#,F#,B,B,2,2,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23997,F#,F#,B,B,2,2,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23998,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+23999,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24000,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24001,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24002,G,G,C,C,0,0,e,e,"(0, 4, 7, 10)","(0, 4, 7, 11)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24003,G,G,C,C,1,1,e,e,"(0, 4, 7, 10)","(0, 4, 7, 11)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24004,G,G,C,C,2,2,e,e,"(0, 4, 7, 10)","(0, 4, 7, 11)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24005,G,G,C,C,2,2,e,e,"(0, 4, 7, 10)","(0, 4, 7, 11)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24006,G,G,C,C,3,0,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,False,True,True,True,True,True,True,True
+24007,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24008,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24009,G,G,C,C,3,2,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,False,True,True,True,True,True,True,True
+24010,F#,F#,B,B,0,0,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V,A,A,D#,D#,e,e,True,True,True,True,True,False,True,True,True,True
+24011,F#,F#,B,B,1,1,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V,A,A,D#,D#,e,e,True,True,True,True,True,False,True,True,True,True
+24012,F#,F#,B,B,2,2,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24013,F#,F#,B,B,2,2,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24014,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24015,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24016,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24017,F#,F#,B,B,3,3,e,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24018,G,G,C,C,0,0,e,e,"(0, 4, 7, 10)","(0, 4, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24019,G,G,C,C,1,1,e,e,"(0, 4, 7, 10)","(0, 4, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24020,G,G,C,C,2,2,e,e,"(0, 4, 7, 10)","(0, 4, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24021,G,G,C,C,2,2,e,e,"(0, 4, 7, 10)","(0, 4, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,False,True,True,True,True,True
+24022,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24023,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24024,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24025,G,G,C,C,3,3,e,e,"(0, 4, 7, 10)","(0, 4, 7, 10)",Ger7,Ger7,A#,A#,E,E,e,e,True,True,True,True,True,True,True,True,True,True
+24026,F#,F#,B,B,0,0,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24027,F#,F#,B,B,1,1,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24028,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24029,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24030,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24031,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24032,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24033,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24034,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24035,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24036,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24037,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24038,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24039,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24040,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24041,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24042,F#,F#,B,B,0,0,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24043,F#,F#,B,B,1,1,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24044,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24045,F#,F#,B,B,2,2,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
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+24048,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24049,F#,F#,B,B,3,3,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24050,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24051,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24052,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24053,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24054,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24055,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24056,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+24057,F#,F#,B,B,4,4,e,e,"(3, 6, 11)","(3, 6, 11)",V,V,B,B,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
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+24059,B,B,E,E,1,1,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24060,B,B,E,E,2,2,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24061,B,B,E,E,2,2,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24062,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24063,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24064,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24065,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24066,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24067,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24068,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24069,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24070,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24071,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24072,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24073,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24074,B,B,E,E,0,0,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24075,B,B,E,E,1,1,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24076,B,B,E,E,2,2,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24077,B,B,E,E,2,2,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24078,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24079,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24080,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24081,B,B,E,E,3,3,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24082,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24083,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24084,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24085,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24086,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24087,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24088,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24089,B,B,E,E,4,4,e,E,"(4, 8, 11)","(4, 8, 11)",V,I,E,E,G#,G#,a,E,True,True,True,False,True,False,True,True,False,False
+24090,E,E,A,A,0,0,e,E,"(0, 4, 9)","(4, 8, 11)",iv,I,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24091,E,E,A,A,1,1,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24092,E,E,A,A,2,2,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24093,E,E,A,A,2,2,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24094,E,E,A,A,3,3,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24095,E,E,A,A,3,3,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24096,E,E,A,A,3,3,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24097,E,E,A,A,3,3,e,E,"(0, 4, 9)","(4, 8, 11)",iv,V7,A,E,C,B,e,E,True,True,True,False,False,False,False,False,False,False
+24098,E,F#,A,F#,4,0,e,E,"(0, 4, 9)","(3, 6, 9, 11)",iv,V7,A,F#,C,A,e,E,False,False,False,False,False,False,False,False,False,False
+24099,E,F#,A,F#,4,1,e,E,"(0, 4, 9)","(3, 6, 9, 11)",iv,V7,A,F#,C,A,e,E,False,False,False,False,False,False,False,False,False,False
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+24102,F#,F#,B,F#,0,3,e,E,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,F#,D#,A,e,E,True,False,False,False,True,True,False,False,False,False
+24103,F#,F#,B,F#,1,3,e,E,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,F#,D#,A,e,E,True,False,False,False,True,True,False,False,False,False
+24104,F#,F#,B,F#,2,3,e,E,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,F#,D#,A,e,E,True,False,False,False,True,True,False,False,False,False
+24105,F#,F#,B,F#,2,3,e,E,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,F#,D#,A,e,E,True,False,False,False,True,True,False,False,False,False
+24106,F#,F#,B,B,0,0,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24107,F#,F#,B,B,1,1,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24108,F#,F#,B,B,2,2,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24109,F#,F#,B,B,2,2,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24110,F#,F#,B,B,3,3,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24111,F#,F#,B,B,3,3,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24112,F#,F#,B,B,3,3,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24113,F#,F#,B,B,3,3,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
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+24118,F#,F#,B,B,4,4,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24119,F#,F#,B,B,4,4,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24120,F#,F#,B,B,4,4,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
+24121,F#,F#,B,B,4,4,e,E,"(3, 6, 9, 11)","(3, 6, 11)",V7,V,A,B,D#,D#,e,E,True,True,True,False,False,False,False,True,False,False
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+26535,G,A,C#,C#,4,5,A,A,"(1, 4, 7, 9)","(1, 4, 9)",V7,I,A,A,E,E,D,A,False,True,False,True,False,False,True,True,False,False
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+26538,A,A,D,D,0,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+26539,A,A,D,D,1,1,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,F#,F#,A,A,True,True,True,True,True,True,True,True,True,True
+26540,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
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+34533,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,C,a,a,True,True,True,True,True,True,True,False,True,False
+34534,A,E,C,A,0,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,E,E,C,a,a,False,False,False,True,True,True,False,False,True,False
+34535,A,E,C,A,1,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,E,E,C,a,a,False,False,False,True,True,True,False,False,True,False
+34536,A,E,C,A,2,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,E,E,C,a,a,False,False,False,True,True,True,False,False,True,False
+34537,A,E,C,A,2,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,E,E,C,a,a,False,False,False,True,True,True,False,False,True,False
+34538,C,C,F,F,0,0,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,i,E,A,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+34539,C,C,F,F,1,1,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34540,C,C,F,F,2,2,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34541,C,C,F,F,2,2,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34542,C,C,F,F,3,3,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34543,C,C,F,F,3,3,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34544,C,C,F,F,3,3,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34545,C,C,F,F,3,3,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34546,C,C,F,F,4,4,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34547,C,C,F,F,4,4,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34548,C,C,F,F,4,4,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34549,C,C,F,F,4,4,a,a,"(0, 4, 5, 9)","(0, 4, 5, 9)",VI7,VI7,E,A,A,A,a,a,True,True,True,True,True,True,False,True,True,False
+34550,C,A,F,C,4,0,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,False,True,False,False,False,True,True,False
+34551,C,A,F,C,4,1,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,False,True,False,False,False,True,True,False
+34552,C,A,F,C,4,2,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,False,True,False,False,False,True,True,False
+34553,C,A,F,C,4,2,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,E,a,a,False,False,False,True,False,False,False,False,True,False
+34554,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34555,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34556,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34557,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34558,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34559,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34560,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34561,C,A,F,C,5,5,a,a,"(0, 4, 5, 9)","(0, 4, 9)",VI7,i,E,A,A,A,a,a,False,False,True,True,False,False,False,True,True,False
+34562,G#,E,B,B,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,E,D,a,a,False,True,True,True,True,True,True,False,True,False
+34563,G#,E,B,B,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,E,D,a,a,False,True,True,True,True,True,True,False,True,False
+34564,G#,E,B,B,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,E,D,a,a,False,True,True,True,True,True,True,False,True,False
+34565,G#,E,B,B,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,E,D,a,a,False,True,True,True,True,True,True,False,True,False
+34566,D#,E,F,B,0,3,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,D#,a,a,False,False,False,True,False,False,False,False,True,False
+34567,D#,E,F,B,1,3,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,D#,a,a,False,False,False,True,False,False,False,False,True,False
+34568,D#,E,F,B,2,3,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,D#,a,a,False,False,False,True,False,False,False,False,True,False
+34569,D#,E,F,B,2,3,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,D#,a,a,False,False,False,True,False,False,False,False,True,False
+34570,E,E,G#,G#,0,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,False,True,True,True,True,True,True,True
+34571,E,E,G#,G#,1,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,False,True,True,True,True,True,True,True
+34572,E,E,G#,G#,2,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,False,True,True,True,True,True,True,True
+34573,E,E,G#,G#,2,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,False,True,True,True,True,True,True,True
+34574,D#,E,F,A,0,0,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,B,a,a,False,False,True,True,False,False,False,False,True,False
+34575,D#,E,F,A,1,1,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,B,a,a,False,False,True,True,False,False,False,False,True,False
+34576,D#,E,F,A,2,2,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,B,a,a,False,False,True,True,False,False,False,False,True,False
+34577,D#,E,F,A,2,2,a,a,"(3, 5, 9)","(4, 8, 11)",It,V7,D#,A,A,B,a,a,False,False,True,True,False,False,False,False,True,False
+34578,E,E,G#,G#,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34579,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34580,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34581,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34582,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34583,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34584,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34585,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34586,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34587,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34588,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34589,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34590,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34591,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34592,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34593,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34594,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34595,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34596,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34597,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+34598,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+34599,B,G#,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,False,True,True,True,False,True,True,True,True,False
+34600,B,G#,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,D,G#,G#,a,a,False,True,True,True,False,True,False,True,True,False
+34601,B,G#,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,D,G#,G#,a,a,False,True,True,True,False,True,False,True,True,False
+34602,B,G#,E,E,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,False,True,True,True,False,False,False,True,True,False
+34603,B,G#,E,E,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,False,True,True,True,False,False,False,True,True,False
+34604,B,G#,E,E,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,False,True,True,True,False,False,False,True,True,False
+34605,B,G#,E,E,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,False,True,True,True,False,False,False,True,True,False
+34606,B,G#,E,E,5,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,A,G#,G#,a,a,False,True,False,True,False,False,False,True,True,False
+34607,B,G#,E,E,5,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,A,G#,G#,a,a,False,True,False,True,False,False,False,True,True,False
+34608,B,G#,E,E,5,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,A,G#,G#,a,a,False,True,False,True,False,False,False,True,True,False
+34609,B,G#,E,E,5,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,A,G#,G#,a,a,False,True,False,True,False,False,False,True,True,False
+34610,E,E,A,A,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34611,E,E,A,A,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34612,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34613,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34614,C,E,F,A,0,3,a,a,"(0, 3, 5, 9)","(0, 4, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,False,True,False,False,False,False,True,False
+34615,C,E,F,A,1,3,a,a,"(0, 3, 5, 9)","(0, 4, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,False,True,False,False,False,False,True,False
+34616,C,E,F,A,2,3,a,a,"(0, 3, 5, 9)","(0, 4, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,False,True,False,False,False,False,True,False
+34617,C,E,F,A,2,3,a,a,"(0, 3, 5, 9)","(0, 4, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,False,True,False,False,False,False,True,False
+34618,E,E,G#,G#,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34619,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34620,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34621,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+34622,C,E,F,A,0,0,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,True,True,True,False,False,False,True,False
+34623,C,E-,F,A,1,1,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,True,True,True,False,False,False,True,False
+34624,C,E-,F,A,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,True,True,True,False,False,False,True,False
+34625,C,E-,F,A,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,F,A,C,a,a,False,False,True,True,True,False,False,False,True,False
+34626,E,E,G#,G#,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,C,a,a,True,True,True,True,True,True,True,False,True,False
+34627,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,C,a,a,True,True,True,True,True,True,True,False,True,False
+34628,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,C,a,a,True,True,True,True,True,True,True,False,True,False
+34629,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,C,a,a,True,True,True,True,True,True,True,False,True,False
+34630,E,E,A,A,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34631,E,E,A,A,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34632,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34633,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+34634,E,D,G#,G#,0,0,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
+34635,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
+34636,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
+34637,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
+34638,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
+34639,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
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+34641,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,True,True,True,True,False,False,True,True,True,True
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+35524,C,C,E,E,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35525,C,C,E,E,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35526,C,C,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35527,C,C,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35528,C,C,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35529,C,C,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35530,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35531,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
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+35533,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35534,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35535,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35536,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35537,C,C,E,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35538,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
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+35540,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35541,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35542,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
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+35544,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35545,C,C,E,E,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+35546,C,C,E,E,0,0,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,C,a,a,True,True,True,True,False,False,True,False,True,False
+35547,C,A,E,E,1,1,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,C,a,a,False,True,True,True,False,False,True,False,True,False
+35548,C,A,E,E,2,2,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35549,C,A,E,E,2,2,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35550,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35551,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35552,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35553,C,B,E,E,3,3,a,a,"(0, 4, 9)","(0, 3, 6, 9)",Cad,viio7,A,A,A,G#,a,a,False,True,True,True,False,False,True,False,True,False
+35554,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35555,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35556,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35557,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35558,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35559,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35560,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35561,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,True,False,True,True,True,True
+35562,G#,G#,D,D,0,0,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,D,E,E,a,a,True,True,True,True,True,True,False,True,True,False
+35563,G#,G#,D,D,1,1,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35564,G#,G#,D,D,2,2,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35565,G#,G#,D,D,2,2,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35566,G#,G#,D,D,3,3,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35567,G#,G#,D,D,3,3,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35568,G#,G#,D,D,3,3,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35569,G#,G#,D,D,3,3,a,a,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,B,B,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+35570,E,G,A#,C#,0,0,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35571,E,G,A#,C#,1,1,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35572,E,G,A#,C#,2,2,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35573,E,G,A#,C#,2,2,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35574,E,G,A#,C#,3,3,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35575,E,G,A#,C#,3,3,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35576,E,G,A#,C#,3,3,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35577,E,G,A#,C#,3,3,a,a,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,B-,C#,E,b,d,False,False,True,True,True,True,False,False,False,False
+35578,A,A,D,D,0,0,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35579,A,A,D,D,1,1,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35580,A,A,D,D,2,2,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35581,A,A,D,D,2,2,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35582,A,A,D,D,3,3,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35583,A,A,D,D,3,3,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35584,A,A,D,D,3,3,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35585,A,A,D,D,3,3,a,a,"(2, 6, 9)","(2, 6, 9)",IV,V,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+35586,F,F,C,C,0,0,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,viio7,A-,A-,D,F,c,a,True,True,True,True,False,False,True,False,False,False
+35587,F,F,C,C,1,1,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35588,F,F,C,C,2,2,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35589,F,F,C,C,2,2,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35590,F,F,C,C,3,3,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35591,F,F,C,C,3,3,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35592,F,F,C,C,3,3,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35593,F,F,C,C,3,3,a,a,"(0, 2, 5, 8)","(2, 5, 8, 11)",iiø7,iiø7,A-,A-,D,D,c,a,True,True,True,True,False,True,True,True,False,True
+35594,F,F,B,B,0,0,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35595,F,F,B,B,1,1,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35596,F,F,B,B,2,2,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35597,F,F,B,B,2,2,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35598,F,F,B,B,3,3,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35599,F,F,B,B,3,3,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35600,F,F,B,B,3,3,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35601,F,F,B,B,3,3,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,G#,A-,D,D,a,a,True,True,True,True,True,True,False,True,True,False
+35602,G,G,C,C,0,0,a,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,C,True,True,True,True,True,False,True,True,True,True
+35603,G,G,C,C,1,1,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35604,G,G,C,C,2,2,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35605,G,G,C,C,2,2,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35606,G,G,C,C,3,3,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35607,G,G,C,C,3,3,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35608,G,G,C,C,3,3,a,a,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,True,True,True,True,True,True,True
+35609,G,G,C,C,3,3,a,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,C,True,True,True,True,True,False,True,True,True,True
+35610,E,G,B,C,0,0,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35611,E,G,B,C,1,1,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35612,E,G,B,C,2,2,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35613,E,G,B,C,2,2,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35614,E,G,B,C,3,3,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35615,E,G,B,C,3,3,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35616,E,G,B,C,3,3,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35617,E,G,B,C,3,3,a,a,"(0, 4, 7, 11)","(0, 4, 7)",I7,V,G,C,C,E,C,C,False,False,True,True,False,False,False,False,True,False
+35618,E,E,A,A,0,0,a,a,"(0, 4, 7, 9)","(0, 4, 9)",i7,V7,G,G,C,C,a,a,True,True,True,True,False,False,True,True,True,True
+35619,E,E,A,A,1,1,a,a,"(0, 4, 7, 9)","(0, 4, 9)",i7,V7,G,G,C,C,a,C,True,True,True,True,False,False,True,True,False,True
+35620,E,E,A,A,2,2,a,a,"(0, 4, 7, 9)","(0, 4, 9)",i7,V7,G,G,C,C,a,C,True,True,True,True,False,False,True,True,False,True
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+35931,E,F,B,B,1,1,a,a,"(2, 4, 8, 11)","(2, 5, 9, 11)",V7,V7,G#,A,D,D,a,a,False,True,True,True,False,True,False,True,True,False
+35932,E,F,B,B,2,2,a,a,"(2, 4, 8, 11)","(2, 5, 9, 11)",V7,V7,G#,A,D,D,a,a,False,True,True,True,False,True,False,True,True,False
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+37396,F,F,B-,B-,2,2,d,d,"(2, 5, 10)","(2, 5, 10)",VI,VI,B-,B-,D,D,d,d,True,True,True,True,True,True,True,True,True,True
+37397,F,F,B-,B-,2,2,d,d,"(2, 5, 10)","(2, 5, 10)",VI,VI,B-,B-,D,D,d,d,True,True,True,True,True,True,True,True,True,True
+37398,D,F,G,B-,0,3,d,d,"(2, 5, 7, 10)","(2, 5, 9)",iv7,VI,F,G,B-,D,d,d,False,False,False,True,False,False,False,False,True,False
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+38239,E,D,G#,G#,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
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+38280,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
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+38291,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
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+38298,E,E,G#,G#,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38299,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38300,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38301,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38302,E,E,G#,A,3,0,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38303,E,E,G#,A,3,1,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38304,E,E,G#,A,3,2,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38305,E,E,G#,A,3,2,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38306,C,E,F,A,0,0,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38307,C,E,F,A,1,1,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38308,C,E,F,A,2,2,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38309,C,E,F,A,2,2,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38310,C,E,F,A,3,3,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38311,C,E,F,A,3,3,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38312,C,E,F,A,3,3,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38313,C,E,F,A,3,3,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38314,C,E,F,A,4,4,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38315,C,E,F,A,4,4,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
+38316,C,E,F,A,4,4,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
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+38318,C,E,F,A,4,4,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
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+38329,C,E,F,A,5,5,a,a,"(0, 5, 9)","(0, 4, 9)",VI,i,F,A,A,C,a,a,False,False,True,True,False,False,False,False,True,False
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+38348,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38349,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
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+38357,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38358,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38359,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38360,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38361,E,E,G#,G#,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38362,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38363,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38364,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38365,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+38366,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,False,True,True,True,True,True
+38367,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,False,True,True,True,True,True
+38368,E,E,G#,G#,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,B,B,a,a,True,True,True,True,False,True,True,True,True,True
+38369,E,D,G#,G#,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,B,B,a,a,False,True,True,True,False,True,True,True,True,False
+38370,E,D,G#,G#,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
+38371,E,D,G#,G#,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
+38372,E,D,G#,G#,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
+38373,E,D,G#,G#,5,5,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,B,B,a,a,False,True,True,True,False,False,True,True,True,False
+38374,E,E,G#,A,5,0,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38375,E,E,G#,A,5,1,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38376,E,E,G#,A,5,2,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
+38377,E,E,G#,A,5,2,a,a,"(4, 8, 11)","(0, 4, 9)",V,i,E,A,B,C,a,a,True,False,False,True,False,False,False,False,True,False
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+38380,A,E,C,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,C,a,a,False,False,True,True,True,True,True,False,True,False
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+38382,F#,E,A,A,0,3,a,a,"(0, 6, 9)","(0, 4, 9)",iio,i,F#,A,C,C,e,a,False,True,False,True,False,False,False,True,False,False
+38383,F#,E,A,A,1,3,a,a,"(0, 6, 9)","(0, 4, 9)",iio,i,F#,A,C,C,e,a,False,True,False,True,False,False,False,True,False,False
+38384,F#,E,A,A,2,3,a,a,"(0, 6, 9)","(0, 4, 9)",iio,i,F#,A,C,C,e,a,False,True,False,True,False,False,False,True,False,False
+38385,F#,E,A,A,2,3,a,a,"(0, 6, 9)","(0, 4, 9)",iio,i,F#,A,C,C,e,a,False,True,False,True,False,False,False,True,False,False
+38386,E,E,G#,G#,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,i,E,E,B,C,a,a,True,True,True,True,True,False,True,False,True,False
+38387,E,E,G#,G#,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,i,E,E,B,C,a,a,True,True,True,True,True,False,True,False,True,False
+38388,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,i,E,E,B,C,a,a,True,True,True,True,True,False,True,False,True,False
+38389,E,E,G#,G#,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,i,E,E,B,C,a,a,True,True,True,True,True,False,True,False,True,False
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+38398,D#,E,G#,A,0,0,a,a,"(3, 6, 8, 11)","(0, 3, 6, 9)",iii7,viio7,F#,F#,B,C,E,a,False,False,True,True,False,False,True,False,False,False
+38399,D#,E,G#,A,1,4,a,a,"(3, 6, 8, 11)","(0, 3, 6, 9)",iii7,viio7,F#,F#,B,C,E,a,False,False,False,True,False,False,True,False,False,False
+38400,D#,E,G#,A,2,2,a,a,"(3, 6, 8, 11)","(0, 3, 6, 8)",iii7,viio7,F#,F#,B,C,E,a,False,False,True,True,False,False,True,False,False,False
+38401,D#,E,G#,A,2,4,a,a,"(3, 6, 8, 11)","(0, 3, 6, 8)",iii7,viio7,F#,F#,B,C,E,a,False,False,False,True,False,False,True,False,False,False
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+38407,D,D,G,G,3,3,a,a,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,True,False,False,False,True,True,False
+38408,D,D,G,G,3,3,a,a,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,True,False,False,False,True,True,False
+38409,D,D,G,G,3,3,a,a,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,True,False,False,False,True,True,False
+38410,D,D,G,G,4,4,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,False,False,False,False,True,True,False
+38411,D,D,G,G,4,4,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,False,False,False,False,True,True,False
+38412,D,D,G,G,4,4,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,False,False,False,False,True,True,False
+38413,D,D,G,G,4,4,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V,F,G,B,B,C,C,True,True,True,False,False,False,False,True,True,False
+38414,D,D,G,G,4,0,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V7,F,G,B,C,C,c,True,True,False,False,False,True,False,False,False,False
+38415,D,D,G,A-,4,1,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V7,F,G,B,C,C,c,True,False,False,False,False,True,False,False,False,False
+38416,D,D,G,A-,4,2,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V7,F,F,B,C,C,c,True,False,False,False,False,True,True,False,False,False
+38417,D,D,G,A-,4,2,a,C,"(2, 5, 7, 11)","(2, 7, 11)",V7,V7,F,F,B,C,C,c,True,False,False,False,False,True,True,False,False,False
+38418,D,D,G,G,5,0,a,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,C,C,True,True,False,False,True,True,True,True,True,False
+38419,D,D,G,G,5,1,a,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,C,C,True,True,False,False,True,True,True,True,True,False
+38420,D,D,G,G,5,2,a,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,C,C,True,True,False,False,True,True,True,True,True,False
+38421,D,D,G,G,5,2,a,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,C,C,True,True,False,False,True,True,True,True,True,False
+38422,E,E,G,G,0,0,a,C,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,C,C,C,C,True,True,True,False,True,False,True,True,True,False
+38423,E,E,G,G,1,1,a,C,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,C,C,C,C,True,True,True,False,True,False,True,True,True,False
+38424,E,E,G,G,2,2,a,C,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,C,C,C,C,True,True,True,False,True,False,True,True,True,False
+38425,E,E,G,G,2,2,a,C,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,C,C,C,C,True,True,True,False,True,False,True,True,True,False
+38426,G,G,C,C,0,0,a,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,False,True,True,True,True,True,False
+38427,G,G,C,C,1,1,a,C,"(0, 4, 7)","(0, 4, 7)",I,I,C,C,E,E,C,C,True,True,True,False,True,True,True,True,True,False
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+38676,F,C,B,F,4,4,a,a,"(2, 5, 9, 11)","(0, 2, 5, 9)",iiø7,ii7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
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+38680,F,C,B,F,4,4,a,a,"(2, 5, 9, 11)","(0, 2, 5, 9)",iiø7,ii7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38681,F,C,B,F,4,4,a,a,"(2, 5, 9, 11)","(0, 2, 5, 9)",iiø7,ii7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38682,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38683,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
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+38685,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38686,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38687,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38688,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38689,F,C,B,F,5,5,a,a,"(2, 5, 9, 11)","(0, 5, 9)",iiø7,V7,A,D,D,A,a,a,False,False,True,True,False,False,False,False,True,False
+38690,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+38691,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+38692,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+38693,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+38694,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+38695,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
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+38698,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
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+38700,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
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+38732,F,C,A,F,2,5,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,False,True,True,False,True,False,True,False
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+38734,F,C,A,F,3,5,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,False,True,True,False,True,False,True,False
+38735,F,C,A,F,3,5,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,False,True,True,False,True,False,True,False
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+38737,F,C,A,F,3,5,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,False,True,True,False,True,False,True,False
+38738,C,C,F,F,0,0,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38739,C,C,F,F,1,1,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38740,C,C,F,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38741,C,C,F,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38742,C,C,F,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38743,C,C,F,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38744,C,C,F,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38745,C,C,F,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38746,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38747,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38748,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38749,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38750,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38751,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38752,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38753,C,C,F,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,i,F,F,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38754,E,C,A,F,0,5,a,a,"(0, 4, 9)","(0, 5, 9)",i,I,A,F,C,A,a,a,False,False,False,True,False,False,False,False,True,False
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+38756,E,C,A,F,2,5,a,a,"(0, 4, 9)","(0, 5, 9)",i,I,A,F,C,A,a,a,False,False,False,True,False,False,False,False,True,False
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+38758,E,C,A,F,3,5,a,a,"(0, 4, 9)","(0, 5, 9)",i,I,A,F,C,A,a,a,False,False,False,True,False,False,False,False,True,False
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+38763,D,D,F,F,1,1,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
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+38767,D,D,F,F,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38768,D,D,F,F,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38769,D,D,F,F,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38770,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38771,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38772,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38773,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38774,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38775,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38776,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38777,D,D,F,F,4,4,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+38778,F,D,A,F,0,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38779,F,D,A,F,1,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38780,F,D,A,F,2,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38781,F,D,A,F,2,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38782,F,D,A,F,3,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38783,F,D,A,F,3,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38784,F,D,A,F,3,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38785,F,D,A,F,3,5,a,a,"(0, 5, 9)","(2, 5, 9)",VI,i,F,D,C,A,a,a,False,False,False,True,False,False,False,False,True,False
+38786,F,D,B-,F,0,0,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38787,F,D,B-,F,1,1,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38788,F,D,B-,F,2,2,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38789,F,D,B-,F,2,2,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38790,F,D,B-,F,3,3,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38791,F,D,B-,F,3,3,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38792,F,D,B-,F,3,3,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38793,F,D,B-,F,3,3,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38794,F,D,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38795,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38796,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38797,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38798,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38799,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38800,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38801,F,C,B-,F,4,4,a,a,"(1, 5, 8, 10)","(2, 5, 8, 10)",iv7,I,A-,F,D-,A-,f,a,False,False,True,True,False,False,False,False,False,False
+38802,F,C,A,F,0,0,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38803,F,C,A,F,1,1,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38804,F,C,A,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38805,F,C,A,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38806,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38807,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38808,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38809,F,C,A,F,3,5,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,False,True,True,False,True,False,True,False
+38810,F,C,A,F,0,0,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38811,F,C,A,F,1,1,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38812,F,C,A,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38813,F,C,A,F,2,2,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38814,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38815,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38816,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38817,F,C,A,F,3,3,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38818,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38819,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38820,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38821,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38822,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38823,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38824,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38825,F,C,A,F,4,4,a,a,"(0, 5, 9)","(0, 5, 9)",VI,I,F,F,C,A,a,a,False,False,True,True,True,False,True,False,True,False
+38826,E,C,A,F,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38827,E,C,A,F,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38828,E,C,A,F,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38829,E,C,A,F,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38830,E,C,A,E,3,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,False,True,True,True,True,False,True,False
+38831,E,C,A,F,3,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,False,True,True,True,True,False,True,False
+38832,E,C,A,E,3,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,False,True,True,True,True,False,True,False
+38833,E,C,A,E,3,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,False,True,True,True,True,False,True,False
+38834,E,C,A,E,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38835,E,C,A,E,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38836,E,C,A,E,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38837,E,C,A,E,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38838,E,C,A,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38839,E,C,A,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38840,E,C,A,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38841,E,C,A,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38842,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38843,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38844,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38845,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38846,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38847,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38848,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38849,E,C,A,E,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,A,a,a,False,False,True,True,True,True,True,False,True,False
+38850,F,A,A,D,0,0,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,D,F,a,a,False,False,True,True,True,False,True,False,True,False
+38851,F,A,A,D,1,1,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,D,F,a,a,False,False,True,True,True,False,True,False,True,False
+38852,F,A,A,D,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,D,F,a,a,False,False,True,True,True,False,True,False,True,False
+38853,F,A,A,D,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,D,D,F,a,a,False,False,True,True,True,False,True,False,True,False
+38854,F,A,A,D,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,C,D,F,a,a,False,False,True,True,True,False,False,False,True,False
+38855,F,A,A,D,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,C,D,F,a,a,False,False,True,True,True,False,False,False,True,False
+38856,F,A,A,D,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,C,D,F,a,a,False,False,True,True,True,False,False,False,True,False
+38857,F,A,A,D,3,3,a,a,"(2, 5, 9)","(2, 5, 9)",iv,i,D,C,D,F,a,a,False,False,True,True,True,False,False,False,True,False
+38858,F,A,A,D,0,0,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,i,D,B,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38859,F,A,A,D,1,1,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38860,F,A,A,D,2,2,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38861,F,A,A,D,2,2,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38862,F,A,A,D,3,3,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38863,F,A,A,D,3,3,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
+38864,F,A,A,D,3,3,a,a,"(2, 5, 9)","(0, 2, 5, 9)",iv,iiø7,D,C,D,F,a,a,False,False,True,True,False,False,False,False,True,False
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+40915,E,B,G#,G#,1,1,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,A,A,False,True,True,True,True,True,True,True,True,False
+40916,E,B,G#,G#,2,2,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,A,A,False,True,True,True,True,True,True,True,True,False
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+40918,E,B,G#,G#,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,A,A,False,True,True,True,True,True,True,True,True,False
+40919,E,B,G#,G#,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,A,A,False,True,True,True,True,True,True,True,True,False
+40920,E,B,G#,G#,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,B,B,A,A,False,True,True,True,True,True,True,True,True,False
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+42005,C#,C#,E,E,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",Cad,I,A,A,A,A,A,A,True,True,True,True,True,False,True,True,True,True
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+54590,D,D,F#,F#,4,4,D,D,"(2, 6, 10)","(2, 6, 9)",V+,I,D,D,A#,A#,G,g,True,True,True,True,False,False,True,True,False,True
+54591,D,D,F#,F#,4,4,D,D,"(2, 6, 10)","(2, 6, 9)",V+,I,D,D,A#,A#,G,g,True,True,True,True,False,False,True,True,False,True
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+54593,D,D,F#,F#,4,4,D,D,"(2, 6, 10)","(2, 6, 9)",V+,I,D,D,A#,A#,G,g,True,True,True,True,False,False,True,True,False,True
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+54619,D,D,G,F#,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,F#,B,B,D,b,True,False,False,True,True,False,False,True,False,False
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+54627,D,D,G,G,1,1,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54628,D,D,G,G,2,2,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54629,D,D,G,G,2,2,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54630,D,D,G,G,3,3,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
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+54632,D,D,G,G,3,3,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
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+54637,D,D,G,G,4,4,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54638,D,D,G,G,4,4,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54639,D,D,G,G,4,4,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54640,D,D,G,G,4,4,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
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+54642,D,D,G,G,5,5,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
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+54647,D,D,G,G,5,5,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54648,D,D,G,G,5,5,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
+54649,D,D,G,G,5,5,D,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,Ger7,E#,E#,B,B,b,b,True,True,True,False,True,True,True,True,True,False
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+54651,C#,C#,F#,F#,1,1,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+54652,C#,C#,F#,F#,2,2,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+54653,C#,C#,F#,F#,2,2,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
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+54655,C#,C#,F#,F#,3,3,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+54656,C#,C#,F#,F#,3,3,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
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+54658,C#,C#,F#,F#,4,4,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
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+54673,C#,C#,F#,F#,5,5,D,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+54674,C#,C#,F#,F#,0,0,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54675,C#,C#,F#,F#,1,1,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54676,C#,C#,F#,F#,2,2,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54677,C#,C#,F#,F#,2,2,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54678,C#,C#,F#,F#,3,3,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54679,C#,C#,F#,F#,3,3,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54680,C#,C#,F#,F#,3,3,D,F#,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54681,C#,C#,F#,F#,3,3,D,G,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,A#,A#,b,F#,True,True,True,False,True,True,True,True,False,False
+54682,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54683,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54684,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54685,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54686,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54687,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54688,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54689,C#,E,F#,A#,4,4,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54690,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54691,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54692,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54693,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54694,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54695,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
+54696,C#,E,F#,A#,5,5,D,D,"(1, 6, 10)","(1, 4, 7, 10)",V,V,F#,G,A#,C#,b,b,False,False,True,True,False,True,False,False,True,False
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+58602,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58603,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58604,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58605,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58606,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58607,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58608,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58609,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58610,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58611,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58612,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58613,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58614,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58615,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58616,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58617,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58618,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58619,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58620,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58621,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58622,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58623,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58624,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58625,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58626,C,C,F#,F#,0,0,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58627,C,C,F#,F#,1,1,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58628,C,C,F#,F#,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58629,C,C,F#,F#,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58630,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58631,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58632,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58633,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58634,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58635,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58636,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58637,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58638,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58639,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58640,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58641,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+58642,D,D,G,G,0,0,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58643,D,D,G,G,1,1,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58644,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58645,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58646,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58647,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58648,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58649,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58650,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58651,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58652,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58653,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58654,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58655,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58656,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58657,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58658,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58659,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58660,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58661,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58662,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58663,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58664,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58665,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58666,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58667,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58668,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58669,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58670,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58671,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58672,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58673,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+58674,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,True,True,True,True,False,True
+58675,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,True,True,True,True,False,True
+58676,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58677,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58678,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58679,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58680,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58681,G,G,C,C,5,5,c,c,"(0, 3, 7)","(0, 4, 7)",i,i,C,C,E-,E-,c,f,True,True,True,True,False,True,True,True,False,True
+58682,G,G,B-,C,0,0,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,True,True,False,False,False,True,True,False
+58683,G,G,B-,C,1,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58684,G,G,B-,C,2,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58685,G,G,B-,C,2,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58686,G,G,B-,C,3,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58687,G,G,B-,C,3,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58688,G,G,B-,C,3,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58689,G,G,B-,C,3,5,c,c,"(4, 7, 10)","(0, 4, 7, 10)",viio,V7,E,B-,E,E,f,f,True,False,False,True,False,False,False,True,True,False
+58690,F,A-,A-,C,0,0,c,f,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,A-,c,f,False,False,True,False,True,False,True,False,False,False
+58691,F,A-,A-,C,1,1,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,F,c,f,False,False,True,True,True,False,True,False,False,False
+58692,F,A-,A-,C,2,2,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,F,c,f,False,False,True,True,True,False,True,False,False,False
+58693,F,A-,A-,C,2,2,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,F,c,f,False,False,True,True,True,False,True,False,False,False
+58694,F,A-,A-,C,3,3,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,E,c,f,False,False,True,True,True,False,True,False,False,False
+58695,F,A-,A-,C,3,3,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,E,c,f,False,False,True,True,True,False,True,False,False,False
+58696,F,A-,A-,C,3,3,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,E,c,f,False,False,True,True,True,False,True,False,False,False
+58697,F,G,A-,C,3,3,c,c,"(0, 5, 8)","(0, 5, 8)",iv,i,F,F,C,E,c,f,False,False,True,True,True,False,True,False,False,False
+58698,B-,G,E,C,0,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58699,B-,G,E,C,1,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58700,B-,G,E,C,2,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58701,B-,G,E,C,2,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58702,B-,G,E,C,3,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58703,B-,G,E,C,3,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58704,B-,G,E,C,3,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58705,B-,G,E,C,3,4,c,c,"(4, 7, 10)","(0, 4, 7)",viio,i,E,C,G,E,f,f,False,False,False,True,False,False,False,False,True,False
+58706,C,A-,F,C,0,0,c,c,"(0, 5, 8)","(0, 5, 8)",iv,iv,F,F,A-,F,c,c,False,False,True,True,True,True,True,False,True,False
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+58817,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,c,c,True,True,True,True,True,True,True,True,True,True
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+58867,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58868,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58869,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58870,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58871,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58872,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58873,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58874,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58875,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58876,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58877,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58878,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58879,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58880,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+58881,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
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+58906,C,C,F#,F#,5,5,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
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+58915,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58916,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58917,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58918,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58919,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58920,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
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+58922,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58923,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58924,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58925,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58926,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58927,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58928,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58929,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58930,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58931,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58932,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58933,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58934,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58935,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58936,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58937,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58938,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58939,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58940,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58941,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58942,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58943,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58944,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58945,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+58946,E-,G,G,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58947,E-,G,G,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58948,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58949,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58950,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58951,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58952,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58953,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58954,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58955,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58956,E-,G,G,C,4,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,False,True,True,True,True,False,True,False
+58957,E-,G,G,C,4,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,False,True,True,True,True,False,True,False
+58958,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58959,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58960,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58961,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58962,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58963,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58964,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58965,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58966,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58967,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58968,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58969,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58970,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58971,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58972,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58973,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58974,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58975,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58976,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58977,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+58978,G,G,D,D,0,0,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58979,G,G,D,D,1,1,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58980,G,G,D,D,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58981,G,G,D,D,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58982,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58983,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58984,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58985,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58986,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+58987,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
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+58993,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
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+58995,G,G,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+58996,G,D,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,True,True,True,True,True,False,True,True,False
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+59005,G,D,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,True,True,True,True,True,False,True,True,False
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+59007,G,D,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,True,True,True,True,True,False,True,True,False
+59008,G,D,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,True,True,True,True,True,False,True,True,False
+59009,G,D,D,D,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,True,True,True,True,True,False,True,True,False
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+59012,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59013,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59014,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59015,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59016,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59017,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59018,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59019,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59020,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59021,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59022,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59023,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59024,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59025,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59026,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59027,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59028,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59029,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59030,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59031,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59032,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59033,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59034,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59035,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59036,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59037,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59038,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59039,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59040,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59041,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59042,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59043,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59044,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59045,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59046,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59047,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59048,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59049,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59050,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59051,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59052,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59053,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59054,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59055,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59056,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59057,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59058,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59059,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59060,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59061,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59062,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59063,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59064,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59065,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59066,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59067,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59068,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59069,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59070,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59071,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59072,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59073,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+59074,E-,G,G,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59075,E-,G,G,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59076,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59077,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59078,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59079,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59080,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59081,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59082,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59083,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59084,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59085,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59086,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59087,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59088,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59089,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59090,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59091,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59092,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59093,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59094,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59095,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59096,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59097,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59098,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59099,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59100,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59101,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59102,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59103,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59104,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59105,E-,G,G,C,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59106,G,G,D,D,0,0,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59107,G,G,D,D,1,1,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59108,G,G,D,D,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59109,G,G,D,D,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59110,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59111,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59112,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59113,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V,B,G,F,F,c,c,True,True,True,True,True,False,False,True,True,False
+59114,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59115,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59116,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59117,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59118,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59119,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59120,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59121,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+59122,G,G,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,False,True,True,True,True,False,True,True,False
+59123,G,G,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,True,False,True,True,True,True,False,True,True,False
+59124,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59125,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59126,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59127,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59128,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59129,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59130,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59131,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59132,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59133,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59134,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59135,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59136,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59137,G,D,D,G,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,G,F,F,c,c,False,False,True,True,True,True,False,True,True,False
+59138,E-,G,G,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59139,E-,G,G,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59140,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59141,E-,G,G,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59142,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59143,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59144,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59145,E-,G,G,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59146,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59147,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59148,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59149,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59150,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59151,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59152,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59153,E-,G,G,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,E-,c,c,False,False,True,True,True,True,True,False,True,False
+59154,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59155,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59156,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59157,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59158,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59159,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59160,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59161,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+59162,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+59163,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+59164,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+59165,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+59166,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+59167,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+59168,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+59169,E-,E-,A-,A-,4,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,V7,F#,F#,C,C,c,c,True,True,False,True,True,False,True,True,True,True
+59170,D,D,G,G,0,0,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59171,D,D,G,G,1,1,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59172,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59173,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59174,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59175,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59176,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59177,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59178,C,D,F#,G,0,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59179,C,D,F#,G,1,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59180,C,D,F#,G,2,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59181,C,D,F#,G,2,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59182,C,D,F#,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59183,C,D,F#,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59184,C,D,F#,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59185,C,D,F#,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59186,D,D,G,G,0,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59187,D,D,G,G,1,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59188,D,D,G,G,2,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59189,D,D,G,G,2,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59190,D,D,G,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59191,D,D,G,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59192,D,D,G,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59193,D,D,G,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,False,False,True,False,True,True,False,False
+59194,C,D,F#,G,0,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59195,C,D,F#,G,1,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59196,C,D,F#,G,2,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59197,C,D,F#,G,2,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59198,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59199,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59200,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59201,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,C,G,c,False,False,False,False,False,False,False,False,False,False
+59202,D,D,G,G,0,0,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59203,D,D,G,G,1,1,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59204,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59205,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59206,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59207,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59208,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59209,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59210,A,D,C,G,0,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59211,A,D,C,G,1,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59212,A,D,C,G,2,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59213,A,D,C,G,2,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59214,A,D,C,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59215,A,D,C,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59216,A,D,C,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59217,A,D,C,G,3,4,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,F#,B,G,c,False,False,False,False,False,False,False,False,False,False
+59218,G,D,B,G,0,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59219,G,D,B,G,1,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59220,G,D,B,G,2,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59221,G,D,B,G,2,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59222,G,D,B,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59223,G,D,B,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59224,G,D,B,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59225,G,D,B,G,3,5,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,D,B,G,c,False,False,False,False,True,False,True,False,False,False
+59226,C,D,F#,G,0,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59227,C,D,F#,G,1,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59228,C,D,F#,G,2,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59229,C,D,F#,G,2,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59230,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59231,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59232,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59233,C,D,F#,G,3,5,G,c,"(0, 6, 9)","(2, 7, 11)",viio,V,F#,G,A,B,G,c,False,False,False,False,False,False,False,False,False,False
+59234,D,D,G,G,0,0,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59235,D,D,G,G,1,1,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59236,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59237,D,D,G,G,2,2,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59238,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59239,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59240,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59241,D,D,G,G,3,3,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59242,D,D,G,G,4,4,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59243,D,D,G,G,4,4,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59244,D,D,G,G,4,4,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
+59245,D,D,G,G,4,4,G,c,"(2, 7, 11)","(2, 7, 11)",I,V,G,G,B,B,G,c,True,True,True,False,True,False,True,True,False,False
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+64440,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,c,c,True,True,True,True,True,True,True,True,True,True
+64441,G,G,D,D,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64442,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64443,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64444,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64445,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64446,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64447,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64448,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64449,G,G,D,D,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,C,F,F,c,c,True,True,True,True,True,True,False,True,True,False
+64450,C,C,E-,E-,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64451,C,C,E-,E-,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64452,C,C,E-,E-,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64453,C,C,E-,E-,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64454,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64455,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64456,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64457,C,C,E-,E-,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64458,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64459,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64460,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64461,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64462,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64463,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64464,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64465,C,C,E-,E-,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,G,G,c,c,True,True,True,True,True,True,True,True,True,True
+64466,D,D,F,F,0,0,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64467,D,D,F,F,1,1,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64468,D,D,F,F,2,2,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64469,D,D,F,F,2,2,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64470,D,D,F,F,3,3,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64471,D,D,F,F,3,3,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64472,D,D,F,F,3,3,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64473,D,D,F,F,3,3,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64474,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64475,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64476,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64477,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64478,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64479,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64480,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iio,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+64481,D,D,F,F,4,4,c,c,"(2, 5, 8)","(2, 5, 8)",iio,iv,D,D,A-,A-,c,c,True,True,True,True,True,False,True,True,True,True
+64482,E-,E-,G,G,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64483,E-,E-,G,G,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64484,E-,E-,G,G,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64485,E-,E-,G,G,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64486,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64487,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64488,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64489,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64490,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64491,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64492,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64493,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64494,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64495,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64496,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64497,E-,E-,G,G,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64498,E-,E-,A-,A-,0,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64499,E-,E-,A-,A-,1,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64500,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64501,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64502,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64503,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64504,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64505,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64506,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64507,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64508,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64509,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64510,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64511,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64512,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+64513,E-,E-,A-,A-,4,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,F#,C,C,c,c,True,True,True,True,True,False,True,True,True,True
+64514,C,C,F#,F#,0,0,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64515,C,C,F#,F#,1,1,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64516,C,C,F#,F#,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64517,C,C,F#,F#,2,2,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64518,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64519,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64520,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64521,C,C,F#,F#,3,3,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64522,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64523,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64524,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64525,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64526,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64527,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64528,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64529,C,C,F#,F#,4,4,c,c,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,g,g,True,True,True,True,True,True,True,True,True,True
+64530,D,D,G,G,0,0,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64531,D,D,G,G,1,1,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64532,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64533,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64534,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64535,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64536,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64537,D,D,G,G,3,3,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64538,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64539,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64540,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64541,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64542,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+64543,D,D,G,G,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,True,True,True,True,True,True,True
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+65088,G,G,C,C,5,5,f,f,"(0, 4, 7)","(0, 4, 7)",V,V,C,C,E,E,f,f,True,True,True,True,True,True,True,True,True,True
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+66052,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 7, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66053,E-,E-,A-,A-,2,2,c,c,"(0, 3, 6, 8)","(0, 3, 7, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66054,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66055,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 7, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66056,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66057,E-,E-,A-,A-,3,3,c,c,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,i,F#,G,C,C,c,c,True,True,True,True,False,False,False,True,True,False
+66058,E-,E-,A-,A-,4,0,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66059,E-,E-,A-,A-,4,1,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66060,E-,E-,A-,A-,4,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66061,E-,E-,A-,A-,4,2,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66062,E-,E-,A-,A-,4,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66063,E-,E-,A-,A-,4,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66064,E-,E-,A-,A-,4,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66065,E-,E-,A-,A-,4,3,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66066,E-,E-,A-,A-,5,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66067,E-,E-,A-,A-,5,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66068,E-,E-,A-,A-,5,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66069,E-,E-,A-,A-,5,4,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,False,True,True,True,False,True,True,False
+66070,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66071,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66072,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66073,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66074,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66075,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66076,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66077,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,G-,C,C,c,c,True,True,True,True,True,True,False,True,True,False
+66078,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66079,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66080,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66081,E-,E-,A-,A-,5,5,c,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,Ger7,F#,F#,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66082,E-,E-,G,G,0,0,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66083,E-,E-,G,G,1,1,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66084,E-,E-,G,G,2,0,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,False,True,False,True,False,True,True,False
+66085,E-,E-,G,G,2,2,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66086,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66087,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66088,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66089,E-,E-,G,G,3,3,c,c,"(0, 3, 7)","(0, 3, 7, 8)",i,i,C,G,C,C,c,c,True,True,True,True,False,True,False,True,True,False
+66090,E-,E-,G,G,4,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66091,E-,E-,G,G,4,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66092,E-,E-,G,G,4,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66093,E-,E-,G,G,4,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66094,E-,E-,G,G,4,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66095,E-,E-,G,G,4,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66096,E-,E-,G,G,4,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66097,E-,E-,G,G,4,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66098,E-,E-,G,G,5,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66099,E-,E-,G,G,5,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66100,E-,E-,G,G,5,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66101,E-,E-,G,G,5,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,False,True,True,True,True,True,True,True
+66102,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66103,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66104,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66105,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66106,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66107,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66108,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66109,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66110,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66111,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66112,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66113,E-,E-,G,G,5,5,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,C,C,c,c,True,True,True,True,True,True,True,True,True,True
+66114,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66115,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66116,D,D,G,G,2,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,False,True,True,False,True,True,True,True
+66117,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66118,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66119,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66120,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66121,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,i,G,G,B,B,c,c,True,True,True,True,True,False,True,True,True,True
+66122,D,D,G,G,4,0,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+66123,D,D,G,G,4,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+66124,D,D,G,G,4,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+66125,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66126,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66127,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66128,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66129,D,D,G,G,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66130,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66131,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66132,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66133,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66134,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66135,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66136,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66137,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66138,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66139,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66140,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66141,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66142,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66143,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66144,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66145,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+66146,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66147,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66148,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66149,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66150,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66151,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66152,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66153,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66154,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66155,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66156,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66157,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66158,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66159,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+66160,G,G,C,C,4,4,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
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+69467,A,A,D,D,3,3,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
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+69471,A,A,D,D,4,4,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+69472,A,A,D,D,4,4,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+69473,A,A,D,D,4,4,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
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+69475,A,A,D,D,4,4,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+69476,A,A,D,D,4,4,g,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,C,C,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
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+69480,B-,B-,D,D,2,2,g,g,"(2, 7, 10)","(2, 7, 10)",i,i,G,G,G,G,g,g,True,True,True,True,True,True,True,True,True,True
+69481,B-,B-,D,D,2,2,g,g,"(2, 7, 10)","(2, 7, 10)",i,i,G,G,G,G,g,g,True,True,True,True,True,True,True,True,True,True
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+85126,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85127,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85128,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85129,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85130,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85131,A,A,D,D,4,4,d,B-,"(2, 5, 9)","(2, 5, 9)",i,V7,D,D,F,F,d,d,True,True,True,False,True,False,True,True,True,False
+85132,E,A,A,D,0,0,d,B-,"(1, 4, 7, 9)","(2, 5, 9)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85133,E,A,A,D,1,1,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85134,E,A,A,D,2,2,d,B-,"(1, 4, 7, 9)","(2, 5, 9)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85135,E,A,A,D,2,2,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85136,E,A,A,D,3,3,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85137,E,A,A,D,3,3,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85138,E,A,A,D,3,3,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85139,E,A,A,D,3,3,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85140,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85141,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85142,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85143,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85144,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85145,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85146,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85147,E,A,A,D,4,4,d,B-,"(1, 4, 7, 9)","(2, 5, 10)",V7,V7,G,B-,C#,A,d,d,False,False,True,False,False,True,False,False,True,False
+85148,C,A,F#,D,0,0,g,B-,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,False,False,True,False,True,True,False
+85149,C,A,F#,D,1,1,g,B-,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,D,A,A,g,g,False,False,True,False,False,True,True,True,True,False
+85150,C,A,F#,D,2,2,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,D,A,A,g,g,False,False,True,True,False,True,True,True,True,False
+85151,C,A,F#,D,2,2,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,D,A,A,g,g,False,False,True,True,False,True,True,True,True,False
+85152,C,A,F#,D,3,3,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85153,C,A,F#,D,3,3,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85154,C,A,F#,D,3,3,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85155,C,A,F#,D,3,3,g,g,"(0, 2, 6, 9)","(1, 4, 7, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85156,C,A,F#,D,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85157,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85158,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85159,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85160,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85161,C,A,F#,A,4,4,g,B-,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,False,False,True,False,True,True,False
+85162,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85163,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85164,C,A,F#,A,0,0,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85165,C,A,F#,A,1,1,g,B-,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,False,False,True,False,True,True,False
+85166,C,A,F#,A,2,2,g,g,"(0, 2, 6, 9)","(0, 3, 6, 9)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85167,C,A,F#,A,2,2,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85168,C,A,F#,A,3,3,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85169,C,A,F#,A,3,3,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85170,C,A,F#,A,3,3,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85171,C,A,F#,A,3,3,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85172,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85173,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85174,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85175,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,B-,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85176,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,G,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85177,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,G,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85178,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,G,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85179,C,A,F#,A,4,4,g,g,"(0, 2, 6, 9)","(2, 7, 10)",V7,V7,D,G,A,A,g,g,False,False,True,True,False,True,False,True,True,False
+85180,D,A,G,A,0,0,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85181,D,A,G,A,1,1,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85182,D,A,G,A,2,2,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85183,D,G,G,A,2,2,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85184,D,G,G,A,3,3,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85185,D,G,G,A,3,3,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85186,D,G,G,A,3,3,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85187,D,G,G,A,3,3,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85188,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85189,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85190,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85191,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85192,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85193,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85194,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85195,D,G,G,A,4,4,g,g,"(2, 7, 10)","(2, 7, 10)",i,V7,G,G,B-,A,g,g,False,False,True,True,True,False,True,False,True,False
+85196,G,G,C#,A,0,0,g,g,"(1, 4, 7, 9)","(2, 7, 10)",V7,V7,A,G,E,E,D,g,True,False,True,True,False,True,False,True,False,False
+85197,G,G,C#,A,1,1,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85198,G,G,C#,A,2,2,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85199,G,G,C#,A,2,2,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85200,G,G,C#,A,3,3,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85201,G,G,C#,A,3,3,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85202,G,G,C#,A,3,3,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85203,G,G,C#,A,3,3,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,A,G,E,E,D,g,True,False,True,True,True,True,False,True,False,False
+85204,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,G,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85205,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,G,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85206,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,G,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85207,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,G,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85208,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,C#,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85209,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,C#,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85210,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,C#,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85211,G,G,C#,C#,4,4,g,g,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,viio7,A,C#,E,E,D,d,True,True,True,True,True,False,False,True,False,False
+85212,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85213,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85214,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85215,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85216,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85217,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85218,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85219,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85220,B-,A,E-,G,0,4,g,g,"(1, 3, 7, 10)","(2, 7, 10)",Ger7,V7,C#,C#,G,B-,g,g,False,False,False,True,False,False,True,False,True,False
+85221,B-,A,E-,B-,1,4,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V7,C#,C#,G,B-,g,g,False,False,False,True,False,False,True,False,True,False
+85222,B-,B-,E-,G,2,2,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V7,C#,C#,G,B-,g,g,True,False,True,True,False,False,True,False,True,False
+85223,B-,B-,E-,G,2,4,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V7,C#,C#,G,B-,g,g,True,False,False,True,False,False,True,False,True,False
+85224,B-,B-,E-,B-,3,4,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,viio7,C#,C#,G,G,g,g,True,False,False,True,True,False,True,True,True,False
+85225,B-,B-,E-,B-,3,4,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,viio7,C#,C#,G,G,g,g,True,False,False,True,True,False,True,True,True,False
+85226,B-,B-,E-,C#,3,4,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,viio7,C#,C#,G,G,g,g,True,False,False,True,True,False,True,True,True,False
+85227,B-,B-,E-,C#,3,4,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,viio7,C#,C#,G,G,g,g,True,False,False,True,True,False,True,True,True,False
+85228,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85229,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85230,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85231,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85232,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85233,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85234,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85235,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V7,D,D,F#,A,g,g,True,True,True,True,True,False,True,False,True,False
+85236,B-,G,E-,G,0,0,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,i,C#,C#,G,B-,g,g,False,False,True,True,False,False,True,False,True,False
+85237,B-,G,E-,G,1,1,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,i,C#,C#,G,B-,g,g,False,False,True,True,True,False,True,False,True,False
+85238,B-,C#,E-,G,2,2,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,C#,C#,G,B-,g,g,False,False,True,True,True,False,True,False,True,False
+85239,B-,C#,E-,G,2,2,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,True,False,True,True,True,False
+85240,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,True,False,True,True,True,False
+85241,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,True,False,True,True,True,False
+85242,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,viio7,C#,C#,G,G,g,g,False,False,True,True,True,False,True,True,True,False
+85243,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,True,False,True,True,True,False
+85244,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85245,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85246,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85247,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85248,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85249,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85250,A,A,D,D,3,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,False,True,True,True,True,False,True,False
+85251,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,A,g,g,True,True,True,True,True,True,True,False,True,False
+85252,B-,B-,E-,G,0,0,g,g,"(1, 3, 7, 10)","(2, 7, 10)",Ger7,V,C#,G,G,B-,g,g,True,False,True,True,False,False,False,False,True,False
+85253,B-,B-,E-,G,1,1,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V,C#,G,G,B-,g,g,True,False,True,True,False,False,False,False,True,False
+85254,B-,B-,E-,G,2,2,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V,C#,G,G,B-,g,g,True,False,True,True,False,False,False,False,True,False
+85255,B-,B-,E-,G,2,2,g,g,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V,C#,E-,G,B-,g,g,True,False,True,True,False,False,False,False,True,False
+85256,B-,B-,E-,E-,3,3,g,B-,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V,C#,E-,G,G,g,g,True,True,True,False,False,False,False,True,True,False
+85257,B-,B-,E-,E-,3,3,g,B-,"(1, 3, 7, 10)","(3, 7, 10)",Ger7,V,C#,E-,G,G,g,g,True,True,True,False,False,False,False,True,True,False
+85258,B-,G,E-,C#,3,2,g,D,"(1, 3, 7, 10)","(1, 4, 9)",Ger7,V7,C#,D,G,D,g,D,False,False,False,False,False,False,False,False,False,False
+85259,B-,D,E-,C#,3,2,g,D,"(1, 3, 7, 10)","(1, 4, 9)",Ger7,V7,C#,D,G,D,g,D,False,False,False,False,False,False,False,False,False,False
+85260,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85261,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85262,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85263,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85264,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85265,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85266,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85267,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85268,B-,A,E-,C#,0,0,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,False,False,True,True,True,False
+85269,B-,C#,E-,C#,1,4,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,G,g,g,False,False,False,True,False,False,True,True,True,False
+85270,B-,C#,E-,C#,2,2,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,False,False,True,True,True,False
+85271,B-,C#,E-,C#,2,2,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,G,g,g,False,False,True,True,False,False,True,True,True,False
+85272,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,I,C#,C#,G,C#,g,g,False,False,True,True,False,False,True,False,True,False
+85273,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,C#,g,g,False,False,True,True,False,False,True,False,True,False
+85274,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,C#,g,g,False,False,True,True,False,False,True,False,True,False
+85275,B-,C#,E-,C#,3,3,g,g,"(1, 3, 7, 10)","(1, 4, 7, 9)",Ger7,V7,C#,C#,G,C#,g,g,False,False,True,True,False,False,True,False,True,False
+85276,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,I,D,D,F#,F#,g,g,True,True,True,True,True,False,True,True,True,True
+85277,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85278,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85279,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85280,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85281,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85282,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85283,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85284,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85285,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85286,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85287,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85288,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85289,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85290,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85291,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85292,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85293,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85294,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85295,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85296,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85297,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85298,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85299,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85300,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85301,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85302,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85303,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85304,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85305,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85306,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85307,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85308,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85309,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85310,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85311,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85312,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85313,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85314,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85315,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85316,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85317,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85318,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85319,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85320,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85321,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85322,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85323,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85324,A,A,D,D,0,0,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85325,A,A,D,D,1,1,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85326,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85327,A,A,D,D,2,2,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85328,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85329,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85330,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85331,A,A,D,D,3,3,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85332,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85333,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85334,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85335,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85336,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85337,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
+85338,A,A,D,D,4,4,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,True,True,True,True,True,True,True,True
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+90231,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,C,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90232,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,C,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90233,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,C,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90234,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,C,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90235,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,C,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90236,F#,A,C,C,0,0,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90237,F#,A,C,C,1,1,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90238,F#,A,C,C,2,2,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90239,F#,A,C,C,2,2,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90240,F#,A,C,C,3,3,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90241,F#,A,C,C,3,3,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90242,F#,A,C,C,3,3,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90243,F#,A,C,C,3,3,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90244,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90245,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90246,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90247,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90248,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90249,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90250,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90251,F#,A,C,C,4,4,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90252,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90253,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90254,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90255,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90256,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90257,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90258,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90259,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90260,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90261,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90262,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90263,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90264,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90265,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90266,F#,A,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90267,F#,F,C,C,5,5,E-,g,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,A,G,D,D,g,g,False,True,True,False,True,True,False,True,True,False
+90268,G-,G-,C-,C-,0,0,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90269,G-,G-,C-,C-,1,1,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90270,G-,G-,C-,C-,2,2,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90271,G-,G-,C-,C-,2,2,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90272,G-,G-,C-,C-,3,3,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90273,G-,G-,C-,C-,3,3,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90274,G-,G-,C-,C-,3,3,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90275,G-,G-,C-,C-,3,3,E-,g,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,False,True,True,True,True,False,False
+90276,G-,A,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,True,True,True,True,True,False,False
+90277,G-,A,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,True,True,True,True,True,False,False
+90278,G-,A,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,True,True,True,True,True,False,False
+90279,G-,A,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,True,True,True,True,True,False,False
+90280,G-,A,C-,E-,4,4,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,G-,E-,e,False,False,True,False,True,True,True,False,False,False
+90281,G-,A,C-,E-,4,4,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,G-,E-,e,False,False,True,False,True,True,True,False,False,False
+90282,G-,A,C-,E-,4,4,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,G-,E-,e,False,False,True,False,True,True,True,False,False,False
+90283,G-,A,C-,E-,4,4,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,G-,E-,e,False,False,True,False,True,True,True,False,False,False
+90284,G-,A,C-,E-,5,5,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,False,True,True,True,True,False,False
+90285,G-,A,C-,E-,5,5,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,False,True,True,True,True,False,False
+90286,G-,A,C-,E-,5,5,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,False,True,True,True,True,False,False
+90287,G-,A,C-,E-,5,5,E-,e,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,False,True,True,True,True,False,False
+90288,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,False,True,False,True,True,True,True,False,False
+90289,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90290,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90291,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90292,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90293,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90294,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90295,G-,A,C-,E-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,V7,A,A,E-,E-,E-,e,False,False,True,False,True,False,True,True,False,False
+90296,G-,A,C-,C-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,True,True,False,True,True,True,True,False,False
+90297,G-,A,C-,C-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,True,True,False,True,True,True,True,False,False
+90298,G-,A,C-,C-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,True,True,False,True,True,True,True,False,False
+90299,G-,A,C-,C-,5,5,E-,e-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,False,True,True,False,True,True,True,True,False,False
+90300,G-,G-,C-,C-,0,0,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90301,G-,G-,C-,C-,1,1,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90302,G-,G-,C-,C-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90303,G-,G-,C-,C-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90304,G-,G-,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90305,G-,G-,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90306,G-,G-,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90307,G-,G-,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90308,G-,G-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90309,G-,G-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90310,G-,G-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90311,G-,G-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,A,E-,E-,E-,e,True,True,True,True,True,True,True,True,False,True
+90312,G-,E-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,True,True,True,True,True,False,True,False,False
+90313,G-,E-,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,True,True,True,True,True,False,True,False,False
+90314,G-,E-,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90315,G-,E-,C-,E-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90316,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90317,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90318,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90319,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90320,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90321,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90322,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90323,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90324,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90325,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90326,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90327,G-,E-,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90328,G-,A,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90329,G-,A,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90330,G-,A,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90331,G-,A,C-,E-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,Ger7,A,E-,E-,E-,E-,e,False,False,True,True,True,True,False,True,False,False
+90332,G-,F,C-,C-,0,0,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90333,G-,F,C-,C-,1,1,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90334,G-,F,C-,C-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90335,G-,F,C-,C-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90336,G-,F,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90337,G-,F,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90338,G-,F,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90339,G-,F,C-,C-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90340,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90341,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90342,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90343,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90344,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90345,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90346,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90347,G-,F,C-,C-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90348,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90349,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90350,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90351,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90352,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90353,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90354,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90355,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90356,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90357,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90358,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90359,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90360,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90361,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90362,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90363,G-,F,C-,C-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,E-,E-,E-,E-,e-,False,True,True,True,True,False,False,True,False,False
+90364,G-,F,C-,B-,0,0,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90365,G-,F,C-,B-,1,1,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90366,G-,F,C-,B-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90367,G-,F,C-,B-,2,2,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90368,G-,F,C-,B-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90369,G-,F,C-,B-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90370,G-,F,C-,B-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90371,G-,F,C-,B-,3,3,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90372,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90373,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90374,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90375,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90376,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90377,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90378,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90379,G-,F,C-,B-,4,4,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90380,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90381,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90382,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90383,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90384,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90385,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90386,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90387,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(3, 6, 9, 11)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,True,False,False,True,False,False
+90388,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90389,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90390,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90391,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90392,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90393,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90394,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90395,G-,F,C-,B-,5,5,E-,E-,"(3, 6, 9, 11)","(2, 5, 10)",Ger7,i,A,B-,E-,E-,E-,e-,False,False,True,True,False,False,False,True,False,False
+90396,F,F,B-,B-,0,0,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90397,F,F,B-,B-,1,1,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90398,F,F,B-,B-,2,2,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90399,F,F,B-,B-,2,2,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90400,F,F,B-,B-,3,3,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90401,F,F,B-,B-,3,3,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90402,F,F,B-,B-,3,3,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,e-,True,True,True,False,True,True,True,True,False,False
+90403,F,F,B-,B-,3,3,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90404,F,F,B-,B-,4,4,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90405,F,F,B-,B-,4,4,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90406,F,F,B-,B-,4,4,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90407,F,F,B-,B-,4,4,E-,e-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+90408,F,F,B-,B-,4,4,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90409,F,F,B-,B-,4,4,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90410,F,F,B-,B-,4,4,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90411,F,F,B-,B-,4,4,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90412,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90413,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90414,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90415,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90416,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90417,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90418,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90419,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90420,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,D,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90421,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,True,True,True,True,True,True,True
+90422,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,True,True,True,True,True,True,True
+90423,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90424,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90425,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,D,E-,e-,True,True,True,True,True,True,False,True,False,False
+90426,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90427,F,F,B-,B-,5,5,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,D,E-,E-,True,True,True,True,True,True,False,True,True,False
+90428,F,A-,B-,D,0,0,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90429,F,A-,B-,D,1,1,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90430,F,A-,B-,D,2,2,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90431,F,A-,B-,D,2,2,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90432,F,A-,B-,D,3,3,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90433,F,A-,B-,D,3,3,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
+90434,F,A-,B-,D,3,3,E-,E-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,B-,D,F,E-,e-,False,False,True,True,True,True,False,False,False,False
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+95961,G,G,B-,B-,1,1,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95962,G,G,B-,B-,2,2,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95963,G,G,B-,B-,2,2,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95964,G,G,B-,B-,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95965,G,G,B-,B-,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95966,G,G,B-,B-,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95967,G,G,B-,B-,3,3,F,F,"(2, 7, 10)","(2, 7, 10)",ii,ii,G,G,D,D,F,F,True,True,True,True,True,True,True,True,True,True
+95968,A,A,C,C,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95969,A,A,C,C,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95970,A,A,C,C,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95971,A,A,C,C,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95972,A,A,C,C,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95973,A,A,C,C,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95974,A,A,C,C,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95975,A,A,C,C,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,F,F,F,F,True,True,True,True,True,True,True,True,True,True
+95976,G,G,C,C,0,0,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95977,G,G,C,C,1,1,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95978,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95979,G,G,C,C,2,2,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95980,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95981,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95982,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95983,G,G,C,C,3,3,F,F,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,B-,B-,E,E,F,F,True,True,True,True,True,True,True,True,True,True
+95984,C,C,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95985,C,C,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95986,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95987,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95988,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95989,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95990,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95991,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95992,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95993,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95994,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95995,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95996,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95997,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95998,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+95999,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96000,C,C,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96001,C,C,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96002,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96003,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96004,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96005,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96006,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96007,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96008,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96009,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96010,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96011,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96012,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96013,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96014,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96015,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96016,C,C,F,F,0,0,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96017,C,C,F,F,1,1,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96018,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96019,C,C,F,F,2,2,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96020,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96021,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96022,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96023,C,C,F,F,3,3,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96024,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96025,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96026,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96027,C,C,F,F,4,4,F,F,"(0, 5, 9)","(0, 5, 9)",I,I,F,F,A,A,F,F,True,True,True,True,True,True,True,True,True,True
+96028,C,C,F,F,0,0,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,F,True,True,True,False,True,True,False,True,False,False
+96029,C,C,F,F,1,1,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,F,True,True,True,False,True,True,False,True,False,False
+96030,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,True,False,True,True,False,True,False,False
+96031,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,True,False,True,True,False,True,False,False
+96032,C,C,F,F,0,0,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96033,C,C,F,F,1,1,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96034,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96035,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96036,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96037,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96038,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96039,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96040,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96041,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96042,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96043,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96044,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96045,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96046,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96047,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96048,C,C,F,F,0,0,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,F,True,True,True,False,True,False,False,True,False,False
+96049,C,C,F,F,1,1,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,F,True,True,True,False,True,False,False,True,False,False
+96050,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96051,C,C,F,F,2,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96052,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96053,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96054,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96055,C,C,F,F,3,3,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96056,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96057,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96058,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96059,C,C,F,F,4,4,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,A,B-,True,True,True,False,True,False,False,True,False,False
+96060,C,C,F,F,4,0,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,False,False,True,True,False,True,False,False
+96061,C,C,F,F,4,1,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,False,False,True,True,False,True,False,False
+96062,C,C,F,F,4,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,False,False,True,True,False,True,False,False
+96063,C,C,F,F,4,2,A,F,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,B-,True,True,False,False,True,True,False,True,False,False
+96064,B,B,E,E,0,0,A,F,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,a,True,True,True,False,True,True,True,True,False,False
+96065,B,B,E,E,1,1,A,F,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,a,True,True,True,False,True,True,True,True,False,False
+96066,B,B,E,E,2,2,A,F,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,a,True,True,True,False,True,True,True,True,False,False
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+105348,E-,C,A,F,0,0,C,a,"(0, 3, 9)","(0, 3, 5, 9)",viio,V7,A,E-,C,A,B-,a,False,False,True,False,False,False,False,False,False,False
+105349,E-,C,A,F,1,1,C,a,"(0, 3, 9)","(0, 3, 5, 9)",viio,V7,A,E-,C,A,B-,a,False,False,True,False,False,False,False,False,False,False
+105350,E-,C,A,F,2,2,C,a,"(0, 3, 9)","(0, 3, 5, 9)",viio,V7,A,E-,C,A,B-,a,False,False,True,False,False,False,False,False,False,False
+105351,E-,C,A,F,2,2,C,a,"(0, 3, 9)","(0, 3, 5, 9)",viio,V7,A,E-,C,A,B-,a,False,False,True,False,False,False,False,False,False,False
+105352,F,F,B-,B-,0,0,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105353,F,F,B-,B-,1,1,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105354,F,F,B-,B-,2,2,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105355,F,F,B-,B-,2,2,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105356,F,F,B-,B-,3,3,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105357,F,F,B-,B-,3,3,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105358,F,F,B-,B-,3,3,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105359,F,F,B-,B-,3,3,C,a,"(2, 5, 10)","(2, 7, 10)",IV,N,B-,D,D,D,F,g,True,True,True,False,False,False,False,True,False,False
+105360,C,F,F#,B-,0,4,C,a,"(0, 6, 8)","(2, 7, 10)",It,N,F#,D,A-,D,c,g,False,False,False,False,False,False,False,False,False,False
+105361,C,F,F#,B-,1,4,C,a,"(0, 6, 8)","(2, 7, 10)",It,N,F#,D,A-,D,c,g,False,False,False,False,False,False,False,False,False,False
+105362,C,F,F#,B-,2,4,C,a,"(0, 6, 8)","(2, 7, 10)",It,N,F#,D,A-,D,c,g,False,False,False,False,False,False,False,False,False,False
+105363,C,F,F#,B-,2,4,C,a,"(0, 6, 8)","(2, 7, 10)",It,N,F#,D,A-,D,c,g,False,False,False,False,False,False,False,False,False,False
+105364,D,D,G,B-,0,4,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,False,False,False,False,False,True,False,False,False
+105365,D,D,G,B-,1,4,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,False,False,False,False,False,True,False,False,False
+105366,D,D,G,B-,2,4,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,False,False,False,False,False,True,False,False,False
+105367,D,D,G,B-,2,4,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,False,False,False,False,False,True,False,False,False
+105368,D,D,G,G,3,0,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,True,False,False,False,False,True,False,False,False
+105369,D,D,G,G,3,1,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,True,False,False,False,False,True,False,False,False
+105370,D,D,G,G,3,3,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,True,True,False,False,False,True,False,False,False
+105371,D,D,G,G,3,3,C,a,"(2, 7, 11)","(2, 7, 10)",V,N,G,G,B,D,C,a,True,True,True,False,False,False,True,False,False,False
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+105373,F,F,B,B,1,1,C,a,"(2, 5, 11)","(2, 5, 7, 11)",viio,V7,B,G,D,D,C,a,True,True,True,False,False,False,False,True,False,False
+105374,F,F,B,B,2,2,C,a,"(2, 5, 11)","(2, 5, 7, 11)",viio,V7,B,G,D,D,C,a,True,True,True,False,False,False,False,True,False,False
+105375,F,F,B,B,2,2,C,a,"(2, 5, 11)","(2, 5, 7, 11)",viio,V7,B,G,D,D,C,a,True,True,True,False,False,False,False,True,False,False
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+105377,G,G,C,C,1,1,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105378,G,G,C,C,2,2,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105379,G,G,C,C,2,2,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105380,G,G,C,C,3,3,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105381,G,G,C,C,3,3,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105382,G,G,C,C,3,3,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105383,G,G,C,C,3,3,C,a,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+105384,D,G,G#,C,0,4,C,a,"(2, 8, 10)","(0, 4, 7)",It,V,G#,B-,B-,E,d,F,False,False,False,False,False,False,False,False,False,False
+105385,D,G,G#,C,1,4,C,a,"(2, 8, 10)","(0, 4, 7)",It,V,G#,B-,B-,E,d,F,False,False,False,False,False,False,False,False,False,False
+105386,D,G,G#,C,2,4,C,a,"(2, 8, 10)","(0, 4, 7)",It,V,G#,B-,B-,E,d,F,False,False,False,False,False,False,False,False,False,False
+105387,D,G,G#,C,2,4,C,a,"(2, 8, 10)","(0, 4, 7)",It,V,G#,B-,B-,E,d,F,False,False,False,False,False,False,False,False,False,False
+105388,E,E,A,C,0,0,C,a,"(1, 4, 9)","(0, 4, 9)",V,V,A,A,C#,E,d,d,True,False,True,False,False,True,True,False,True,False
+105389,E,E,A,C,1,1,C,a,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C,d,d,True,False,True,False,True,True,True,False,True,False
+105390,E,E,A,C,2,2,C,a,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C,d,d,True,False,True,False,True,True,True,False,True,False
+105391,E,E,A,C,2,2,C,a,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C,d,d,True,False,True,False,True,True,True,False,True,False
+105392,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,A,C#,C,d,d,True,True,True,False,False,False,True,False,True,False
+105393,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,A,C#,C,d,d,True,True,True,False,False,False,True,False,True,False
+105394,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,A,C#,C,d,d,True,True,True,False,False,False,True,False,True,False
+105395,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,A,C#,C,d,d,True,True,True,False,False,False,True,False,True,False
+105396,E,E,A,A,0,0,C,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105397,E,E,A,A,1,4,C,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,A,C#,C#,d,d,True,True,False,False,True,True,False,True,True,False
+105398,E,E,A,A,2,2,C,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105399,E,E,A,A,2,4,C,d,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,d,d,True,True,False,False,True,True,True,True,True,False
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+105401,F,F,B-,B-,1,1,C,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,True,False,True,True,True,False
+105402,F,F,B-,B-,2,2,C,d,"(2, 5, 10)","(2, 5, 10)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,True,False,True,True,True,False
+105403,F,F,B-,B-,2,2,C,d,"(2, 5, 10)","(2, 5, 10)",VI,IV,B-,B-,D,D,d,d,True,True,True,False,True,False,True,True,True,False
+105404,F,F,B-,B-,3,3,C,d,"(2, 5, 10)","(2, 5, 9)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,False,False,True,True,True,False
+105405,F,F,B-,B-,3,3,C,d,"(2, 5, 10)","(2, 5, 9)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,False,False,True,True,True,False
+105406,F,F,B-,B-,3,3,C,d,"(2, 5, 10)","(2, 5, 9)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,False,False,True,True,True,False
+105407,F,F,B-,B-,3,3,C,d,"(2, 5, 10)","(2, 5, 9)",VI,iv,B-,B-,D,D,d,d,True,True,True,False,False,False,True,True,True,False
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+105409,C,C,F#,A-,1,1,C,F,"(0, 6, 8)","(0, 3, 6, 8)",It,V7,F#,F#,A-,C,c,g,True,False,True,False,False,False,True,False,False,False
+105410,C,C,F#,A-,2,2,C,a,"(0, 6, 8)","(0, 3, 6, 8)",It,V7,F#,F#,A-,C,c,g,True,False,True,False,False,False,True,False,False,False
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+105416,D,D,G,G,3,0,C,C,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,C,C,True,True,False,True,True,True,True,True,True,True
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+105420,D,F,G,B,4,0,C,a,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,B,B,B,C,C,False,False,False,False,False,False,False,True,True,False
+105421,D,F,G,B,4,1,C,a,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,B,B,B,C,C,False,False,False,False,False,False,False,True,True,False
+105422,D,F,G,B,4,2,C,a,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,B,B,B,C,C,False,False,False,False,False,False,False,True,True,False
+105423,D,F,G,B,4,2,C,a,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,B,B,B,C,C,False,False,False,False,False,False,False,True,True,False
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+105427,G,G,C,C,2,2,C,a,"(0, 4, 7)","(0, 4, 8)",I,V,C,C,E,E,C,a,True,True,True,False,False,False,True,True,False,False
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+105430,E,G,B,C,2,3,C,a,"(2, 4, 8, 11)","(0, 4, 8)",V7,IV,G#,A-,D,E,a,a,False,False,False,False,False,False,False,False,True,False
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+105433,D,F,G#,B-,1,4,C,d,"(2, 8, 10)","(2, 4, 8, 11)",It,V7,G#,A-,B-,D,d,a,False,False,False,False,False,False,False,False,False,False
+105434,D,F,G#,B-,2,4,C,d,"(2, 8, 10)","(2, 4, 8, 11)",It,V7,G#,A-,B-,D,d,a,False,False,False,False,False,False,False,False,False,False
+105435,D,F,G#,B-,2,4,C,d,"(2, 8, 10)","(2, 4, 8, 11)",It,V7,G#,A-,B-,D,d,a,False,False,False,False,False,False,False,False,False,False
+105436,E,E,A,A,0,0,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105437,E,E,A,A,1,1,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105438,E,E,A,A,2,2,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105439,E,E,A,A,2,2,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105440,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105441,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105442,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105443,E,E,A,A,3,3,C,d,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,d,d,True,True,True,False,True,True,True,True,True,False
+105444,G,E,C#,C#,0,4,C,d,"(1, 4, 7)","(1, 4, 7, 9)",viio,V7,C#,A,E,E,d,d,False,True,False,False,False,False,False,True,True,False
+105445,G,E,C#,C#,1,4,C,d,"(1, 4, 7)","(1, 4, 7, 9)",viio,V7,C#,A,E,E,d,d,False,True,False,False,False,False,False,True,True,False
+105446,G,E,C#,C#,2,4,C,d,"(1, 4, 7)","(1, 4, 7, 9)",viio,V7,C#,A,E,E,d,d,False,True,False,False,False,False,False,True,True,False
+105447,G,E,C#,C#,2,4,C,d,"(1, 4, 7)","(1, 4, 7, 9)",viio,V7,C#,A,E,E,d,d,False,True,False,False,False,False,False,True,True,False
+105448,A,A,D,D,0,0,C,d,"(2, 5, 9)","(2, 5, 9)",ii,iv,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105449,A,A,D,D,1,1,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105450,A,A,D,D,2,2,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105451,A,A,D,D,2,2,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105452,A,A,D,D,3,3,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105453,A,A,D,D,3,3,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
+105454,A,A,D,D,3,3,C,d,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,F,F,C,d,True,True,True,False,True,False,True,True,False,False
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+107081,G,B-,C#,E-,1,1,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107082,G,B-,C#,E-,2,2,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107083,G,B-,C#,E-,2,2,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107084,G,B-,C#,E-,3,3,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
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+107086,G,B-,C#,E-,3,3,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107087,G,B-,C#,E-,3,3,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
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+107091,G,B-,C#,E-,4,4,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107092,G,B-,C#,E-,4,4,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
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+107094,G,B-,C#,E-,4,4,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107095,G,B-,C#,E-,4,4,g,d,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,D-,E-,G,g,d,False,False,True,False,True,False,False,False,False,False
+107096,G,B-,C#,E-,5,5,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,A,E-,G,g,g,False,False,True,True,True,False,False,False,True,False
+107097,G,B-,C#,E-,5,1,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,V7,B-,A,E-,G,g,g,False,False,False,True,True,False,False,False,True,False
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+109879,D,D,G#,G#,4,4,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109880,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109881,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109882,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109883,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109884,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109885,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109886,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109887,D,D,G#,G#,5,5,a,a,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,F,F,B,B,a,a,True,True,True,True,True,True,True,True,True,True
+109888,E,E,A,A,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109889,E,E,A,A,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109890,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109891,E,E,A,A,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109892,E,E,A,A,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109893,E,E,A,A,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109894,E,E,A,A,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109895,E,E,A,A,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109896,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109897,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109898,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109899,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109900,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109901,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109902,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109903,E,E,A,A,4,4,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109904,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109905,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109906,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109907,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109908,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109909,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109910,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109911,E,E,A,A,5,5,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,C,C,a,a,True,True,True,True,True,True,True,True,True,True
+109912,A,C,D#,F,0,0,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,e,False,False,True,True,True,True,False,False,False,False
+109913,A,C,D#,F,1,1,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109914,A,C,D#,F,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109915,A,C,D#,F,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109916,A,C,D#,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109917,A,C,D#,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109918,A,C,D#,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109919,A,C,D#,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109920,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109921,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109922,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109923,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109924,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109925,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109926,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109927,A,C,D#,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109928,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109929,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109930,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109931,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109932,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109933,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109934,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109935,A,C,D#,F,5,5,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,C,D#,F,A,a,a,False,False,True,True,True,True,False,False,True,False
+109936,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109937,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109938,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109939,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109940,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109941,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109942,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109943,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109944,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109945,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109946,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109947,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109948,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109949,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109950,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109951,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109952,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109953,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109954,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109955,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109956,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109957,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109958,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109959,B,B,E,E,5,5,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109960,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109961,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109962,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109963,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109964,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109965,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109966,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109967,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109968,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109969,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109970,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109971,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109972,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109973,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109974,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109975,B,B,E,E,4,4,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+109976,D,B,G,E,0,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109977,D,B,G,E,1,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109978,D,B,G,E,2,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109979,D,B,G,E,2,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109980,D,B,G,E,3,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109981,D,B,G,E,3,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,V,G,E,B,G#,C,a,False,False,False,True,False,True,False,False,False,False
+109982,D,B,G,E,3,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,I,G,E,B,G#,C,a,False,False,False,True,False,False,False,False,False,False
+109983,D,B,G,E,3,5,a,a,"(2, 7, 11)","(4, 8, 11)",V,I,G,E,B,G#,C,a,False,False,False,True,False,False,False,False,False,False
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+117861,D#,C,F,F,1,1,a,a,"(3, 5, 9)","(0, 3, 5, 9)",It,Ger7,D#,F,A,A,a,a,False,True,True,True,False,False,False,True,True,False
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+119729,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+119730,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+119731,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+119732,G,B,B,D,5,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,G,D,D,False,False,False,True,True,False,True,False,True,False
+119733,G,B,B,D,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,G,D,D,False,False,False,True,True,False,True,False,True,False
+119734,G,B,B,D,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,G,D,D,False,False,False,True,True,False,True,False,True,False
+119735,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+119736,G,B,B,D,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+119737,G,B,B,D,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+119738,G,B,B,D,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+119739,G,B,B,D,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+119740,G,G,B,B,5,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119741,G,G,B,B,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119742,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119743,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119744,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119745,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119746,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119747,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+119748,F,F,B-,B-,0,0,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119749,F,F,B-,B-,1,1,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119750,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119751,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119752,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119753,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119754,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119755,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+119756,F,D,B-,F,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,True,True,False,True,False,True,False,False
+119757,F,D,B-,F,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,True,True,False,True,False,True,False,False
+119758,F,D,B-,F,4,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119759,F,D,B-,F,4,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119760,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119761,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119762,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119763,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+119764,F,G#,B-,D,5,0,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,viio7,G#,G#,D,D,D,d,False,False,False,True,True,False,True,True,False,False
+119765,F,G#,B-,D,5,1,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119766,F,G#,B-,D,5,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119767,F,G#,B-,D,5,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119768,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119769,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119770,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119771,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,False,True,True,True,False,False
+119772,F,F,B-,B-,5,0,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119773,F,F,B-,B-,5,1,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119774,F,F,B-,B-,5,2,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119775,F,F,B-,B-,5,2,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119776,F,F,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119777,F,F,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,False,True,False,True,True,True,False,True
+119778,F,D,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+119779,F,D,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+119780,E,E,A,A,0,0,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119781,E,E,A,A,1,1,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119782,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119783,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119784,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119785,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119786,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119787,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119788,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119789,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119790,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119791,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119792,D,A,F#,A,0,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+119793,D,A,F#,A,1,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+119794,D,A,F#,A,2,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+119795,D,A,F#,A,2,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+119796,A,A,E,E,0,0,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+119797,A,A,E,E,1,1,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+119798,A,A,E,E,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+119799,A,A,E,E,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,G,D,D,True,True,True,True,True,True,False,True,True,False
+119800,A,A,D,D,0,0,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119801,A,A,D,D,1,1,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119802,A,A,D,D,2,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,False,True,True,True,True,True,True,True
+119803,A,A,D,D,2,2,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119804,A,A,C#,A,0,0,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,E,D,D,True,False,True,True,True,True,True,True,True,False
+119805,A,A,C#,A,1,1,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,E,D,D,True,False,True,True,True,True,True,True,True,False
+119806,A,A,C#,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,E,D,D,True,False,True,True,True,True,True,True,True,False
+119807,A,A,C#,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,E,D,D,True,False,True,True,True,True,True,True,True,False
+119808,F#,A,B,D,0,0,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,D,D,D,False,False,True,True,False,False,True,True,True,False
+119809,F#,A,B,D,1,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,D,D,D,False,False,False,True,False,False,True,True,True,False
+119810,F#,A,B,D,2,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,D,D,D,False,False,False,True,False,False,True,True,True,False
+119811,F#,A,B,D,2,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,D,D,D,False,False,False,True,False,False,True,True,True,False
+119812,E,E,A,A,0,0,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119813,E,E,A,A,1,1,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119814,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119815,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+119816,F#,E,B,A,0,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,C#,D,D,False,False,False,True,False,False,True,False,True,False
+119817,F#,E,B,A,1,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,C#,D,D,False,False,False,True,False,False,True,False,True,False
+119818,F#,E,B,A,2,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,C#,D,D,False,False,False,True,False,False,True,False,True,False
+119819,F#,E,B,A,2,3,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,C#,D,D,False,False,False,True,False,False,True,False,True,False
+119820,A,E,C#,A,0,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,False,False,False,True,True,True,True,False,True,False
+119821,A,E,C#,A,1,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,False,False,False,True,True,True,True,False,True,False
+119822,A,E,C#,A,2,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,False,False,False,True,True,True,True,False,True,False
+119823,A,E,C#,A,2,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,False,False,False,True,True,True,True,False,True,False
+119824,A,A,D,D,0,0,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119825,A,A,D,D,1,1,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119826,A,A,D,D,2,2,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119827,A,A,D,D,2,2,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+119828,A,A,E,A,0,0,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,G,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+119829,A,A,E,A,1,1,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,G,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+119830,A,A,E,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,G,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+119831,A,A,E,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,G,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+119832,A,A,C#,A,0,3,D,D,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,G,E,C#,D,D,True,False,False,True,False,False,False,False,True,False
+119833,A,A,C#,A,1,3,D,D,"(1, 4, 9)","(1, 4, 7, 9)",V,V7,A,G,E,C#,D,D,True,False,False,True,False,False,False,False,True,False
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+120270,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120271,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120272,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+120273,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+120274,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+120275,D,D,F#,F#,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,A,A,A,A,True,True,True,True,True,False,True,True,True,True
+120276,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120277,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120278,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120279,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120280,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120281,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120282,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120283,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120284,D,D,F#,F#,5,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,False,True,True,True,True,True,True,True
+120285,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120286,D,D,F#,F#,5,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,False,True,True,True,True,True,True,True
+120287,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120288,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120289,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120290,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120291,D,D,F#,F#,5,5,A,A,"(2, 6, 9)","(2, 6, 9)",IV,IV,D,D,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120292,C,C,F,F,0,0,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120293,C,C,F,F,1,1,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120294,C,C,F,F,2,2,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120295,C,C,F,F,2,2,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120296,C,C,F,F,3,3,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120297,C,C,F,F,3,3,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120298,C,C,F,F,3,3,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120299,C,C,F,F,3,3,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120300,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120301,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120302,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120303,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120304,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120305,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120306,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120307,C,C,F,F,4,4,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,A,True,True,True,True,True,True,True,True,True,True
+120308,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120309,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120310,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120311,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120312,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120313,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120314,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120315,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120316,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120317,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120318,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120319,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120320,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120321,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120322,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,D#,A,A,A,a,True,True,True,True,True,True,True,True,False,True
+120323,C,C,F,F,5,5,A,A,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,Ger7,D#,E-,A,A,A,a,True,True,True,True,True,True,False,True,False,False
+120324,B,B,E,E,0,0,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120325,B,B,E,E,1,1,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120326,B,B,E,E,2,2,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120327,B,B,E,E,2,2,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120328,B,B,E,E,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120329,B,B,E,E,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120330,B,B,E,E,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120331,B,B,E,E,3,3,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120332,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120333,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120334,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120335,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120336,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120337,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120338,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120339,B,B,E,E,4,4,A,A,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120340,F#,B,A#,E,0,0,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,E,C#,G#,b,A,False,False,True,True,False,False,False,False,False,False
+120341,F#,B,A#,E,1,1,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,G#,b,A,False,False,True,True,False,False,False,False,False,False
+120342,F#,B,A#,E,2,2,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,G#,b,A,False,False,True,True,False,False,False,False,False,False
+120343,F#,C#,A#,E,2,5,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,F#,b,A,False,False,False,True,False,False,False,False,False,False
+120344,F#,B,A#,E,0,5,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,F#,b,A,False,False,False,True,False,False,False,False,False,False
+120345,F#,B,A#,E,1,5,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,F#,b,A,False,False,False,True,False,False,False,False,False,False
+120346,F#,B,A#,E,2,5,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,C#,C#,F#,b,A,False,False,False,True,False,False,False,False,False,False
+120347,F#,B,A#,E,2,5,A,A,"(1, 6, 10)","(1, 4, 6, 10)",V,V7,F#,E,C#,F#,b,A,False,False,False,True,False,False,False,False,False,False
+120348,F#,B,B,E,0,0,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120349,F#,B,B,E,1,1,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120350,F#,B,B,E,2,2,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120351,F#,B,B,E,2,2,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120352,F#,B,B,E,3,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120353,F#,B,B,E,3,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120354,F#,B,B,E,3,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120355,F#,B,B,E,3,3,A,A,"(2, 6, 11)","(2, 4, 8, 11)",ii,V7,B,D,D,G#,A,A,False,False,True,True,False,False,False,False,True,False
+120356,B,B,E,E,0,0,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120357,B,B,E,E,1,1,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120358,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120359,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+120360,B,B,E,E,0,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+120361,B,B,E,E,1,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+120362,B,B,E,E,2,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+120363,B,B,E,E,2,3,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,False,True,True,True,True,True,True,True
+120364,E,C#,A,E,0,4,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,False,True,False,True,True,False,True,False
+120365,E,C#,A,E,1,1,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,True,True,False,True,True,False,True,False
+120366,E,C#,A,E,2,2,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,True,True,False,True,True,False,True,False
+120367,E,C#,A,E,2,4,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,False,True,False,True,True,False,True,False
+120368,E,C#,A,E,3,3,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,True,True,False,True,True,False,True,False
+120369,E,C#,A,E,3,3,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,A,A,A,False,False,True,True,False,True,True,False,True,False
+120370,E,C#,A,E,3,3,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,True,True,False,True,True,False,True,False
+120371,E,C#,A,E,3,4,A,A,"(1, 4, 9)","(2, 4, 8, 11)",I,I,A,A,C#,G#,A,A,False,False,False,True,False,True,True,False,True,False
+120372,D,B,F#,E,0,0,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,True,True,False,False,True,False,True,False
+120373,D,B,F#,E,1,5,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,False,True,False,False,True,False,True,False
+120374,D,B,F#,E,2,5,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,False,True,False,False,True,False,True,False
+120375,D,B,F#,E,2,5,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,False,True,False,False,True,False,True,False
+120376,D,B,F#,E,3,5,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,False,True,False,False,True,False,True,False
+120377,D,B,F#,E,3,5,A,A,"(2, 6, 9)","(2, 4, 8, 11)",IV,V7,D,D,A,G#,A,A,False,False,False,True,False,False,True,False,True,False
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+121977,D,F#,A,C,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,A,C,D,G,G,False,False,False,True,True,True,False,False,True,False
+121978,D,F#,A,C,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,A,C,D,G,G,False,False,False,True,True,True,False,False,True,False
+121979,D,F#,A,C,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,A,C,D,G,G,False,False,False,True,True,True,False,False,True,False
+121980,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121981,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,D,C,D,G,G,False,True,False,True,True,True,False,False,True,False
+121982,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,D,C,D,G,G,False,True,False,True,True,True,False,False,True,False
+121983,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121984,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121985,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121986,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121987,D,F#,A,A,5,4,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V7,F#,F#,C,D,G,G,False,True,False,True,True,True,True,False,True,False
+121988,G,G,B,B,0,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121989,G,G,B,B,1,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121990,G,G,B,B,2,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121991,G,G,B,B,2,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121992,G,G,B,B,3,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121993,G,G,B,B,3,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121994,G,G,B,B,3,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121995,G,G,B,B,3,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,True,True,True,True,True,True,True,True
+121996,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+121997,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+121998,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+121999,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+122000,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+122001,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+122002,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+122003,G,D,B,G,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,B,D,D,False,False,True,True,True,True,True,False,True,False
+122004,G,B,B,D,5,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+122005,G,B,B,D,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,False,True,True,False,True,False,True,False
+122006,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122007,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122008,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122009,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122010,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122011,G,B,B,D,5,5,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,B,D,D,False,False,True,True,True,False,True,False,True,False
+122012,G,G,B,B,5,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122013,G,G,B,B,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122014,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122015,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122016,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122017,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122018,G,B,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,False,True,False,True,True,True,True,True,True,False
+122019,G,B,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,False,True,False,True,True,True,True,True,True,False
+122020,F,F,B-,B-,0,0,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122021,F,F,B-,B-,1,1,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122022,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122023,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122024,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122025,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122026,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122027,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122028,F,D,B-,D,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,D,D,D,D,d,False,False,True,True,True,True,False,True,False,False
+122029,F,D,B-,D,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,D,D,D,D,d,False,False,True,True,True,True,False,True,False,False
+122030,F,D,B-,D,4,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+122031,F,D,B-,D,4,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+122032,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+122033,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+122034,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,False,True,False,True,False,False
+122035,F,D,B-,D,4,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,D,D,D,D,d,False,False,False,True,True,True,False,True,False,False
+122036,F,G#,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,True,True,True,True,False,False
+122037,F,G#,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,True,True,True,True,False,False
+122038,F,G#,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,True,True,True,True,False,False
+122039,F,G#,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,True,True,True,True,False,False
+122040,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,True,True,True,True,False,False
+122041,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,True,True,True,True,False,False
+122042,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,True,True,True,True,False,False
+122043,F,G#,B-,D,5,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,False,True,True,True,True,True,False,False
+122044,F,G#,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,True,True,True,True,False,False
+122045,F,D,B-,D,5,5,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,False,True,True,False,True,True,True,False,False
+122046,F,D,B-,B-,5,2,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+122047,F,D,B-,B-,5,2,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+122048,F,D,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+122049,F,D,B-,B-,5,3,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,False,True,False,True,True,True,False,False
+122050,F,D,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,True,True,False,True,True,True,False,False
+122051,F,D,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,False,True,True,True,False,True,True,True,False,False
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+122053,E,E,A,A,1,1,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122054,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122055,E,E,A,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122056,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122057,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122058,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122059,E,E,A,A,3,3,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122060,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122061,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122062,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122063,E,E,A,A,4,4,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+122064,D,E,F#,A,0,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+122065,D,E,F#,A,1,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+122066,D,E,F#,A,2,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+122067,D,E,F#,A,2,4,D,D,"(2, 6, 9)","(1, 4, 9)",I,V,D,A,A,C#,D,D,False,False,False,True,False,False,False,False,True,False
+122068,A,A,E,A,0,0,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+122069,A,A,E,A,1,1,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+122070,A,A,E,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+122071,A,A,E,A,2,2,D,D,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,C#,D,G,C#,D,D,True,False,True,True,True,True,False,False,True,False
+122072,A,A,D,D,0,0,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,True,True,True,True,True,True,True,True
+122073,A,A,D,D,1,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,False,True,True,True,True,True,True,True
+122074,A,A,D,D,2,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,False,True,True,True,True,True,True,True
+122075,A,A,D,D,2,5,D,D,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,F#,F#,D,D,True,True,False,True,True,True,True,True,True,True
+122076,A,A,C#,A,0,0,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,True,False,True,True,True,True,True,False,True,False
+122077,A,A,C#,A,1,1,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,True,False,True,True,True,True,True,False,True,False
+122078,A,A,C#,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,True,False,True,True,True,True,True,False,True,False
+122079,A,A,C#,A,2,2,D,D,"(1, 4, 9)","(1, 4, 9)",V,V,A,A,E,C#,D,D,True,False,True,True,True,True,True,False,True,False
+122080,F#,A,B,A,0,5,D,D,"(2, 6, 9, 11)","(1, 4, 9)",vi7,V,A,A,D,D,D,D,False,False,False,True,False,False,True,True,True,False
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+122519,D,E,G,G,5,2,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122520,D,E,G,G,5,3,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122521,D,E,G,G,5,3,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122522,D,E,G,G,5,3,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122523,D,E,G,G,5,3,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122524,D,E,G,G,5,0,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122525,D,E,G,G,5,1,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122526,D,E,G,G,5,2,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122527,D,E,G,G,5,2,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122528,D,E,G,G,5,4,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122529,D,E,G,G,5,4,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122530,D,E,G,G,5,4,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,ii,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122531,D,E,G,G,5,4,D,D,"(2, 4, 7, 11)","(4, 7, 11)",ii7,IV,E,E,B,B,D,D,False,True,False,True,False,False,True,True,True,False
+122532,D,D,A,A,0,0,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122533,D,D,A,A,1,1,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122534,D,D,A,A,2,2,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122535,D,D,A,A,2,2,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122536,D,D,A,A,3,3,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122537,D,D,A,A,3,3,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122538,D,D,A,A,3,3,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122539,D,D,A,A,3,3,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122540,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122541,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122542,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122543,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122544,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122545,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122546,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122547,D,D,A,A,4,4,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V7,F#,D,C,D,G,D,True,True,True,True,False,True,False,False,False,False
+122548,D,F#,A,A,5,0,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,False,False,True,True,True,False
+122549,D,F#,A,A,5,1,D,D,"(0, 2, 6, 9)","(2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,False,False,True,True,True,False
+122550,D,F#,A,A,5,2,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122551,D,F#,A,A,5,2,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122552,D,F#,A,A,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122553,D,F#,A,A,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122554,D,F#,A,A,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122555,D,F#,A,A,5,3,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,False,True,True,False,True,True,True,False
+122556,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122557,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122558,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122559,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122560,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122561,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122562,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122563,D,F#,A,A,5,5,D,D,"(0, 2, 6, 9)","(0, 2, 6, 9)",V7,V,F#,F#,C,C,G,G,False,True,True,True,True,False,True,True,True,False
+122564,G,G,B,B,0,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,vi,G,G,D,D,D,D,True,True,True,True,True,False,True,True,True,True
+122565,G,G,B,B,1,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,True,True,True,False,True,True,True,True
+122566,G,G,B,B,2,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,True,True,True,False,True,True,True,True
+122567,G,G,B,B,2,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,True,True,True,False,True,True,True,True
+122568,G,F#,B,B,3,3,D,D,"(2, 7, 11)","(2, 6, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122569,G,F#,B,B,3,3,D,D,"(2, 7, 11)","(2, 6, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122570,G,F#,B,B,3,3,D,D,"(2, 7, 11)","(2, 6, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122571,G,F#,B,B,3,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,True,False,True,True,True,False
+122572,G,G,B,B,4,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,False,True,True,False,True,True,True,True
+122573,G,G,B,B,4,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,False,True,True,False,True,True,True,True
+122574,G,G,B,B,4,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,False,True,True,False,True,True,True,True
+122575,G,G,B,B,4,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,I,G,G,D,D,D,D,True,True,False,True,True,False,True,True,True,True
+122576,G,F#,B,B,4,4,D,D,"(2, 7, 11)","(2, 6, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122577,G,F#,B,B,4,4,D,D,"(2, 7, 11)","(2, 6, 11)",IV,vi,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122578,G,F#,B,B,4,4,D,D,"(2, 7, 11)","(2, 6, 11)",IV,V+,G,G,D,D,D,D,False,True,True,True,False,False,True,True,True,False
+122579,G,F#,B,B,4,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,V+,G,G,D,D,D,D,False,True,True,True,True,False,True,True,True,False
+122580,G,G,B,B,5,0,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122581,G,G,B,B,5,1,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122582,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122583,G,G,B,B,5,2,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122584,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122585,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122586,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122587,G,G,B,B,5,3,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122588,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122589,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122590,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122591,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122592,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122593,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122594,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122595,G,G,B,B,5,4,D,D,"(2, 7, 11)","(2, 7, 11)",IV,IV,G,G,D,D,D,D,True,True,False,True,True,True,True,True,True,True
+122596,F,F,B-,B-,0,0,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122597,F,F,B-,B-,1,1,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122598,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122599,F,F,B-,B-,2,2,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122600,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122601,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122602,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122603,F,F,B-,B-,3,3,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122604,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122605,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122606,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122607,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122608,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122609,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122610,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122611,F,F,B-,B-,4,4,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122612,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122613,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122614,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122615,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122616,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122617,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122618,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122619,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122620,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122621,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122622,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
+122623,F,F,B-,B-,5,5,D,D,"(2, 5, 8, 10)","(2, 5, 8, 10)",Ger7,Ger7,G#,G#,D,D,D,d,True,True,True,True,True,True,True,True,False,True
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+124533,A,A,D,D,1,1,f#,A,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,False,True,False,True,True,True,False
+124534,A,A,D,D,2,2,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
+124535,A,A,D,D,2,2,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
+124536,A,A,D,D,3,3,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
+124537,A,A,D,D,3,3,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
+124538,A,A,D,D,3,3,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
+124539,A,A,D,D,3,3,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,V7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,False,True,True,True,True
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+124541,A,A,D,D,4,4,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124542,A,A,D,D,4,4,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124543,A,A,D,D,4,4,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124544,A,A,D,D,4,4,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
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+124547,A,A,D,D,4,4,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
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+124550,A,A,D,D,5,5,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124551,A,A,D,D,5,5,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124552,A,A,D,D,5,5,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
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+124554,A,A,D,D,5,5,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
+124555,A,A,D,D,5,5,f#,f#,"(0, 2, 6, 9)","(0, 2, 6, 9)",Ger7,Ger7,B#,B#,F#,F#,f#,f#,True,True,True,True,True,True,True,True,True,True
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+124589,D,A,F#,D,1,4,D,A,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,A,F#,D,D,False,False,False,False,True,True,True,False,True,False
+124590,D,A,F#,D,2,4,D,A,"(2, 6, 9)","(2, 6, 9)",I,I,D,D,A,F#,D,D,False,False,False,False,True,True,True,False,True,False
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+131142,D,D,G,G,2,2,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131143,D,D,G,G,2,2,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131144,D,D,G,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131145,D,D,G,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131146,D,D,G,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131147,D,D,G,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,True,False,True,True,True,True,True,False
+131148,B,D,F,G,0,0,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131149,B,D,F,G,1,1,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131150,B,D,F,G,2,2,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131151,B,D,F,G,2,2,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131152,B,D,F,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131153,B,D,F,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
+131154,B,D,F,G,3,3,c,g,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,D,F,G,B,c,c,False,False,True,False,True,True,False,False,True,False
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+131199,B-,B-,E-,E-,2,5,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,Ger7,C#,B-,G,G,g,g,True,True,False,True,True,True,False,True,True,False
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+131203,B-,B-,E-,E-,3,5,g,g,"(1, 3, 7, 10)","(1, 3, 7, 10)",Ger7,Ger7,C#,G,G,G,g,g,True,True,False,True,True,True,False,True,True,False
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+131221,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131222,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131223,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131224,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131225,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131226,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
+131227,A,A,D,D,4,5,g,g,"(2, 6, 9)","(2, 6, 9)",V,V,D,D,F#,F#,g,g,True,True,False,True,True,True,True,True,True,True
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+131231,F#,A,C,C,2,2,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131232,F#,A,C,C,3,3,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131233,F#,A,C,C,3,3,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131234,F#,A,C,C,3,3,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131235,F#,A,C,C,3,3,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131236,F#,A,C,C,4,4,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
+131237,F#,A,C,C,4,4,g,g,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,A,A,E-,E-,g,g,False,True,True,True,True,True,True,True,True,False
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+132428,C,C,E,E,0,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132429,C,C,E,E,1,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132430,C,C,E,E,2,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132431,C,C,E,E,2,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132432,C,C,E,E,3,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132433,C,C,E,E,3,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132434,C,C,E,E,3,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132435,C,C,E,E,3,4,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,I,A,C,A,G,a,a,True,True,False,True,True,False,False,False,True,False
+132436,C,C,E,E,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132437,C,C,E,E,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132438,C,A,E,E,2,0,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,False,True,False,True,True,False,True,True,True,False
+132439,C,A,E,E,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,A,a,a,False,True,True,True,True,False,True,True,True,False
+132440,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,ii,A,A,A,A,a,a,False,True,True,True,True,False,True,True,True,False
+132441,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,ii,A,A,A,A,a,a,False,True,True,True,True,False,True,True,True,False
+132442,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,ii,A,A,A,A,a,a,False,True,True,True,True,False,True,True,True,False
+132443,C,A,E,E,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,ii,A,A,A,A,a,a,False,True,True,True,True,False,True,True,True,False
+132444,B,B,E,D,0,0,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132445,B,B,E,D,1,1,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132446,B,B,E,D,2,2,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132447,B,B,E,D,2,2,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132448,B,B,E,D,3,3,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132449,B,B,E,D,3,3,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132450,B,B,E,D,3,3,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132451,B,B,E,D,3,3,a,a,"(2, 4, 8, 11)","(2, 5, 11)",V7,viio,D,B,G#,F,a,a,True,False,True,True,False,False,False,False,True,False
+132452,B,B,E,E,0,0,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132453,B,B,E,E,1,1,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132454,B,B,E,E,2,2,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132455,B,B,E,E,2,2,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132456,B,B,E,E,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132457,B,B,E,E,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132458,B,B,E,E,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132459,B,B,E,E,3,3,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132460,A,A,C,C,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132461,A,A,C,C,1,1,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132462,A,A,C,C,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132463,A,A,C,C,2,2,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132464,A,A,C,C,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132465,A,A,C,C,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132466,A,A,C,C,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132467,A,A,C,C,3,3,a,a,"(0, 4, 9)","(0, 4, 9)",i,i,A,A,E,E,a,a,True,True,True,True,True,True,True,True,True,True
+132468,B-,B-,D,D,0,0,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132469,B-,B-,D,D,1,1,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132470,B-,B-,D,D,2,2,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132471,B-,B-,D,D,2,2,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132472,B-,B-,D,D,3,3,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132473,B-,B-,D,D,3,3,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132474,B-,B-,D,D,3,3,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132475,B-,B-,D,D,3,3,a,a,"(2, 5, 10)","(2, 5, 10)",N,IV,B-,B-,F,F,a,a,True,True,True,True,True,False,True,True,True,True
+132476,C#,B-,E,E,0,0,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132477,C#,B-,E,E,1,1,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132478,C#,B-,E,E,2,2,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132479,C#,B-,E,E,2,2,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132480,C#,B-,E,E,3,3,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132481,C#,B-,E,E,3,3,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132482,C#,B-,E,E,3,3,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132483,C#,B-,E,E,3,3,a,a,"(1, 4, 7)","(1, 4, 7, 10)",viio,viio7,C#,C#,G,G,d,d,False,True,True,True,False,False,True,True,True,False
+132484,D,D,F,F,0,0,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132485,D,D,F,F,1,1,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132486,D,D,F,F,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132487,D,D,F,F,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,A,A,a,a,True,True,True,True,True,False,True,True,True,True
+132488,A,A,C#,F,0,3,a,a,"(1, 4, 9)","(2, 5, 9)",V,ii,A,D,E,A,d,d,True,False,False,True,False,False,False,False,True,False
+132489,A,A,C#,F,1,3,a,a,"(1, 4, 9)","(2, 5, 9)",V,ii,A,D,E,A,d,d,True,False,False,True,False,False,False,False,True,False
+132490,A,A,C#,F,2,3,a,a,"(1, 4, 9)","(2, 5, 9)",V,ii,A,D,E,A,d,d,True,False,False,True,False,False,False,False,True,False
+132491,A,A,C#,F,2,3,a,a,"(1, 4, 9)","(2, 5, 9)",V,V,A,D,E,A,d,d,True,False,False,True,False,True,False,False,True,False
+132492,A,A,D,D,0,0,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,F,F,a,d,True,True,True,True,True,False,True,True,False,True
+132493,A,A,D,D,1,1,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,F,F,a,d,True,True,True,True,True,False,True,True,False,True
+132494,A,A,D,D,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,F,F,a,d,True,True,True,True,True,False,True,True,False,True
+132495,A,A,D,D,2,2,a,a,"(2, 5, 9)","(2, 5, 9)",iv,ii,D,D,F,F,a,d,True,True,True,True,True,False,True,True,False,True
+132496,C,A,E,F,0,0,a,a,"(0, 4, 9)","(2, 5, 9)",i,i,A,D,A,A,a,a,False,False,True,True,False,True,False,True,True,False
+132497,C,A,E,F,1,1,a,a,"(0, 4, 9)","(2, 5, 9)",i,i,A,D,A,A,a,a,False,False,True,True,False,True,False,True,True,False
+132498,C,A,E,F,2,2,a,a,"(0, 4, 9)","(2, 5, 9)",i,i,A,D,A,A,a,a,False,False,True,True,False,True,False,True,True,False
+132499,C,A,E,F,2,2,a,a,"(0, 4, 9)","(2, 5, 9)",i,i,A,D,A,A,a,a,False,False,True,True,False,True,False,True,True,False
+132500,C,C,F,F,0,0,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,i,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132501,C,C,F,F,1,1,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,iv,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132502,C,C,F,F,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,i,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132503,C,C,F,F,2,2,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,i,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132504,C,C,F,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132505,C,C,F,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132506,C,C,F,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132507,C,C,F,F,3,3,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,V7,D#,E-,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132508,C,C,F,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,VI,D#,F,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132509,C,C,F,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,VI,D#,F,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132510,C,C,F,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,VI,D#,F,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132511,C,C,F,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,VI,D#,F,A,A,a,a,True,True,True,True,True,False,False,True,True,False
+132512,C,C,F,F,4,0,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,viio7,D#,E-,A,A,a,a,True,True,False,True,True,False,False,True,True,False
+132513,C,C,F,F,4,1,a,a,"(0, 3, 5, 9)","(0, 3, 5, 9)",Ger7,viio7,D#,E-,A,A,a,a,True,True,False,True,True,False,False,True,True,False
+132514,C,C,F,F,4,4,a,a,"(0, 3, 5, 9)","(0, 3, 6, 9)",Ger7,viio7,D#,E-,A,A,a,a,True,True,True,True,False,False,False,True,True,False
+132515,C,C,F,F,4,2,a,a,"(0, 3, 5, 9)","(0, 3, 6, 9)",Ger7,viio7,D#,E-,A,A,a,a,True,True,False,True,False,False,False,True,True,False
+132516,B,B,E,E,0,0,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132517,B,B,E,E,1,1,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132518,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132519,B,B,E,E,2,2,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132520,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132521,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132522,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132523,B,B,E,E,3,3,a,a,"(4, 8, 11)","(4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,True,True,True,True,True,True
+132524,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132525,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132526,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132527,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132528,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V,E,E,G#,G#,a,a,True,True,True,True,False,True,True,True,True,True
+132529,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,E,G#,G#,a,a,True,True,True,True,False,False,True,True,True,True
+132530,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,True,True,True,True,False,False,False,True,True,False
+132531,B,B,E,E,4,4,a,a,"(4, 8, 11)","(2, 4, 8, 11)",V,V7,E,D,G#,G#,a,a,True,True,True,True,False,False,False,True,True,False
+132532,C,C,E,E,0,0,a,a,"(0, 4, 9)","(0, 4, 9)",Cad,i,A,A,A,G#,a,a,True,True,True,True,True,False,True,False,True,False
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+161151,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+161152,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+161153,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+161154,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+161155,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+161156,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161157,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161158,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161159,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161160,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161161,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161162,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161163,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,N,F,F,C,C,C,c,True,True,True,True,True,False,True,True,False,True
+161164,F,E-,A,A-,0,0,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161165,F,E-,A,A-,1,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161166,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161167,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161168,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161169,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161170,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161171,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161172,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161173,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161174,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161175,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161176,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161177,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161178,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161179,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161180,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161181,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161182,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161183,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161184,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161185,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161186,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161187,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+161188,C,E-,F,G,0,0,c,c,"(0, 5, 8)","(0, 3, 7)",iv,i,F,C,A-,C,c,c,False,False,True,True,False,False,False,False,True,False
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+166482,D,D,G,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,D,c,c,True,False,True,True,True,True,True,False,True,False
+166483,D,D,G,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,D,c,c,True,False,True,True,True,True,True,False,True,False
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+166485,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166486,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166487,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166488,D,D,G,G,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166489,D,D,G,G,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+166490,D,D,G,G,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+166491,D,D,G,G,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,False,True,True,True,True,True,True,True
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+166494,G-,B-,B-,D-,2,2,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
+166495,G-,B-,B-,D-,2,2,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
+166496,G-,B-,B-,D-,3,3,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
+166497,G-,B-,B-,D-,3,3,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
+166498,G-,B-,B-,D-,3,3,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
+166499,G-,B-,B-,D-,3,3,c,c,"(1, 6, 10)","(1, 6, 10)",N,VI,G-,G-,D-,G,f,f,False,False,True,True,True,False,True,False,True,False
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+166502,G-,B-,B-,D-,4,4,c,c,"(1, 6, 10)","(1, 6, 10)",N,N,G-,G-,D-,G-,f,b-,False,False,True,True,True,True,True,False,False,False
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+166504,G-,B-,B-,D-,4,4,c,c,"(1, 6, 10)","(1, 6, 10)",N,V7,G-,G-,D-,G-,f,b-,False,False,True,True,True,False,True,False,False,False
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+166506,G-,B-,B-,D-,4,4,c,c,"(1, 6, 10)","(1, 6, 10)",N,V7,G-,G-,D-,G-,f,b-,False,False,True,True,True,False,True,False,False,False
+166507,G-,B-,B-,D-,4,4,c,c,"(1, 6, 10)","(1, 6, 10)",N,V7,G-,G-,D-,G-,f,b-,False,False,True,True,True,False,True,False,False,False
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+166553,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
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+166558,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+166559,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
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+166563,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
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+166568,C,G,F,C,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
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+166674,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166675,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166676,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166677,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166678,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166679,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166680,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166681,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166682,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166683,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+166684,E,E,B-,B-,0,0,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166685,E,E,B-,B-,1,1,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166686,E,E,B-,B-,2,2,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166687,E,E,B-,B-,2,2,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166688,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166689,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166690,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166691,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166692,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166693,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166694,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166695,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166696,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166697,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166698,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166699,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+166700,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+166701,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+166702,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+166703,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+166704,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+166705,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
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+166707,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
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+166709,F,E,A,A,1,1,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+166710,F,E,A,A,2,2,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+166711,F,E,A,A,2,2,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+166712,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,IV,F,A,C,C,C,C,False,True,True,False,False,True,False,True,True,False
+166713,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+166714,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,F,C,C,C,C,False,True,True,False,False,False,True,True,True,False
+166715,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,IV,F,F,C,C,C,C,False,True,True,False,False,True,True,True,True,False
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+166733,F,E-,A,A-,1,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166734,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166735,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166736,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166737,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166738,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
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+166742,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166743,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166744,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
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+166754,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+166755,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
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+166757,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166758,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166759,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166760,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166761,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166762,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166763,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,B,B,c,c,True,True,True,True,True,True,True,True,True,True
+166764,B,B,F,F,0,0,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166765,B,B,F,F,1,1,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166766,B,B,F,F,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166767,B,B,F,F,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166768,B,B,F,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166769,B,B,F,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166770,B,B,F,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166771,B,B,F,F,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166772,B,B,F,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166773,B,B,F,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166774,B,B,F,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+166775,B,B,F,F,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
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+167607,C,A-,F,D,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,V7,D,C,A-,F,c,c,False,False,True,True,True,False,False,False,True,False
+167608,C,A-,F,D,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,V7,D,C,A-,F,c,c,False,False,True,True,True,False,False,False,True,False
+167609,C,A-,F,D,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,V7,D,C,A-,F,c,c,False,False,True,True,True,False,False,False,True,False
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+168253,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168254,G,G,B,B,4,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,False,True,True,True,True,True,True,True
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+168256,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168257,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168258,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168259,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168260,G,G,B,B,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,False,True,True,True,True,True,True,True
+168261,G,G,B,B,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,False,True,True,True,True,True,True,True
+168262,G,G,B,B,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,False,True,True,True,True,True,True,True
+168263,G,G,B,B,5,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,False,True,True,True,True,True,True,True
+168264,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168265,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168266,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+168267,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
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+173046,G,G,B,B,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173047,G,G,B,B,2,2,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173048,G,G,B,B,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173049,G,G,B,B,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173050,G,G,B,B,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173051,G,G,B,B,3,3,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173052,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173053,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173054,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173055,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173056,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173057,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173058,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173059,G,G,B,B,4,4,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173060,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173061,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173062,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173063,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173064,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173065,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173066,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173067,G,G,B,B,5,5,c,c,"(2, 7, 11)","(2, 7, 11)",V,V,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+173068,E,E,B-,B-,0,0,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173069,E,E,B-,B-,1,1,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173070,E,E,B-,B-,2,2,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173071,E,E,B-,B-,2,2,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173072,E,E,B-,B-,3,3,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173073,E,E,B-,B-,3,3,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173074,E,E,B-,B-,3,3,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173075,E,E,B-,B-,3,3,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173076,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173077,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173078,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173079,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173080,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173081,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173082,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173083,E,E,B-,B-,4,4,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173084,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173085,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173086,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173087,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173088,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173089,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173090,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
+173091,E,E,B-,B-,5,5,c,c,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,viio7,G,G,D-,D-,f,f,True,True,True,True,True,True,True,True,True,True
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+173093,F,F,A,A,1,1,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173094,F,F,A,A,2,2,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173095,F,F,A,A,2,2,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173096,F,F,A,A,3,3,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173097,F,F,A,A,3,3,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173098,F,F,A,A,3,3,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173099,F,F,A,A,3,3,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173100,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173101,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173102,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173103,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173104,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173105,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173106,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173107,F,F,A,A,4,4,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173108,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
+173109,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
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+173111,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
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+173113,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,V,F,F,C,C,C,C,True,True,True,True,True,False,True,True,True,True
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+173117,F,E-,A,A-,1,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173118,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173119,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173120,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173121,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173122,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173123,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173124,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173125,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173126,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173127,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173128,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173129,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173130,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173131,F,E-,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173132,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173133,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173134,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173135,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173136,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173137,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173138,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173139,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+173140,C,C,F,G,0,0,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,B,c,c,True,False,True,True,False,False,False,False,True,False
+173141,C,C,F,G,1,1,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,B,c,c,True,False,True,True,False,False,False,False,True,False
+173142,C,C,F,G,2,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173143,C,C,F,G,2,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173144,C,C,F,G,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173145,C,C,F,G,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173146,C,C,F,G,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173147,C,C,F,G,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,C,c,c,True,False,True,True,False,False,False,False,True,False
+173148,C,C,F,F,4,0,c,c,"(0, 2, 5, 8)","(0, 5, 8)",iiø7,iv,D,F,A-,A-,c,c,True,True,False,True,False,False,False,True,True,False
+173149,C,C,F,F,4,1,c,c,"(0, 2, 5, 8)","(0, 5, 8)",iiø7,iv,D,F,A-,A-,c,c,True,True,False,True,False,False,False,True,True,False
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+173892,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173893,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173894,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173895,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173896,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173897,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173898,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173899,C,E-,F,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,C,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173900,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,E-,C,c,False,False,True,True,False,False,False,False,False,False
+173901,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173902,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173903,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173904,C,E-,F,A-,5,0,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,False,True,False,False,False,False,False,False
+173905,C,E-,F,A-,5,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,False,True,False,False,False,False,False,False
+173906,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173907,C,E-,F,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,A-,A,C,C,c,False,False,True,True,False,False,False,False,False,False
+173908,C,E-,F,C,0,0,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173909,C,G,F,C,1,1,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173910,C,G,F,C,2,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173911,C,G,F,C,2,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173912,C,G,F,C,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173913,C,G,F,C,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173914,C,G,F,C,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173915,C,G,F,C,3,3,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,True,True,False,False,False,False,True,False
+173916,C,G,F,C,4,0,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,False,True,False,False,False,False,True,False
+173917,C,G,F,C,4,1,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,False,True,False,False,False,False,True,False
+173918,C,G,F,C,4,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,False,True,False,False,False,False,True,False
+173919,C,G,F,C,4,2,c,c,"(0, 2, 5, 8)","(0, 3, 7)",iiø7,i,D,C,A-,E-,c,c,False,False,False,True,False,False,False,False,True,False
+173920,C,C,F,F,4,0,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173921,C,C,F,F,4,1,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173922,C,C,F,F,4,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173923,C,C,F,F,4,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173924,C,C,F,F,5,0,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,ii,D,D,A-,A-,c,c,True,True,False,True,True,False,True,True,True,True
+173925,C,C,F,F,5,1,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,ii,D,D,A-,A-,c,c,True,True,False,True,True,False,True,True,True,True
+173926,C,C,F,F,5,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,ii,D,D,A-,A-,c,c,True,True,False,True,True,False,True,True,True,True
+173927,C,C,F,F,5,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173928,C,D,F,F,5,0,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,False,True,False,True,True,True,True,True,True,False
+173929,C,C,F,F,5,1,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,False,True,True,True,True,True,True,True
+173930,C,D,F,F,5,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,viio7,D,D,A-,A-,c,c,False,True,False,True,True,False,True,True,True,False
+173931,C,D,F,F,5,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,False,True,False,True,True,True,True,True,True,False
+173932,C,C,F,C,0,0,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,ii,D,D,A-,D,c,c,True,False,True,True,True,False,True,False,True,False
+173933,C,C,F,C,1,1,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,D,c,c,True,False,True,True,True,True,True,False,True,False
+173934,C,C,F,C,2,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,D,c,c,True,False,True,True,True,True,True,False,True,False
+173935,C,C,F,F,2,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,D,c,c,True,True,True,True,True,True,True,False,True,False
+173936,C,C,F,F,3,3,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+173937,C,C,F,F,3,3,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+173938,C,C,F,F,3,3,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+173939,C,C,F,F,3,3,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,D,A-,A-,c,c,True,True,True,True,True,True,True,True,True,True
+173940,C,C,F,F,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,A-,c,c,True,True,True,True,True,True,False,True,True,False
+173941,C,C,F,F,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,A-,c,c,True,True,True,True,True,True,False,True,True,False
+173942,C,C,F,F,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,A-,c,c,True,True,True,True,True,True,False,True,True,False
+173943,C,C,F,F,4,4,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,A-,c,c,True,True,True,True,True,True,False,True,True,False
+173944,C,D,F,A-,4,0,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,B,c,c,False,False,False,True,True,True,False,False,True,False
+173945,C,D,F,A-,4,1,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,C,c,c,False,False,False,True,True,True,False,False,True,False
+173946,C,D,F,A-,4,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,B,c,c,False,False,False,True,True,True,False,False,True,False
+173947,C,D,F,A-,4,2,c,c,"(0, 2, 5, 8)","(0, 2, 5, 8)",iiø7,iiø7,D,F,A-,B,c,c,False,False,False,True,True,True,False,False,True,False
+173948,D,D,G,G,0,0,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173949,D,D,G,G,1,1,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173950,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173951,D,D,G,G,2,2,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173952,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173953,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173954,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173955,D,D,G,G,3,3,c,c,"(2, 7, 11)","(2, 5, 7, 11)",V,V7,G,F,B,B,c,c,True,True,True,True,False,False,False,True,True,False
+173956,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173957,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173958,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173959,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173960,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173961,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173962,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173963,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173964,D,D,G,G,0,0,c,c,"(2, 5, 7, 11)","(2, 5, 8, 11)",V7,viio7,F,F,B,B,c,c,True,True,True,True,False,False,True,True,True,True
+173965,D,D,G,G,1,1,c,c,"(2, 5, 7, 11)","(2, 5, 8, 11)",V7,viio7,F,F,B,B,c,c,True,True,True,True,False,False,True,True,True,True
+173966,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 8, 11)",V7,viio7,F,F,B,B,c,c,True,True,True,True,False,False,True,True,True,True
+173967,D,D,G,G,2,2,c,c,"(2, 5, 7, 11)","(2, 5, 8, 11)",V7,viio7,F,F,B,B,c,c,True,True,True,True,False,False,True,True,True,True
+173968,D,D,G,G,3,0,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+173969,D,D,G,G,3,1,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+173970,D,D,G,G,3,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+173971,D,D,G,G,3,2,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,F,F,B,B,c,c,True,True,False,True,True,True,True,True,True,True
+173972,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173973,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173974,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173975,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173976,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173977,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173978,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173979,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173980,G,G,C,C,0,0,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173981,G,G,C,C,1,1,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173982,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173983,G,G,C,C,2,2,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
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+173986,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173987,G,G,C,C,3,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,True,True,True,True,True,True,True,True
+173988,G,G,C,D,4,0,c,c,"(0, 3, 7)","(2, 5, 7, 11)",i,V7,C,B,E-,F,c,c,True,False,False,True,False,False,False,False,True,False
+173989,G,G,C,D,4,1,c,c,"(0, 3, 7)","(2, 5, 7, 11)",i,V7,C,B,E-,F,c,c,True,False,False,True,False,False,False,False,True,False
+173990,G,G,C,D,4,2,c,c,"(0, 3, 7)","(2, 5, 7, 11)",i,V7,C,B,E-,F,c,c,True,False,False,True,False,False,False,False,True,False
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+173992,G,G,C,D,4,3,c,c,"(0, 3, 7)","(2, 5, 7, 11)",i,V7,C,B,E-,F,c,c,True,False,False,True,False,False,False,False,True,False
+173993,G,G,C,D,4,3,c,c,"(0, 3, 7)","(2, 5, 7, 11)",i,V7,C,B,E-,F,c,c,True,False,False,True,False,False,False,False,True,False
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+174001,G,G,C,C,5,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
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+174003,G,G,C,C,5,3,c,c,"(0, 3, 7)","(0, 3, 7)",i,i,C,C,E-,E-,c,c,True,True,False,True,True,True,True,True,True,True
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+174005,F,F,B,B,1,1,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174006,F,F,B,B,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174007,F,F,B,B,2,2,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174008,F,F,B,B,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174009,F,F,B,B,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174010,F,F,B,B,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174011,F,F,B,B,3,3,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174012,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174013,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174014,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174015,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174016,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174017,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174018,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174019,F,F,B,B,4,4,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174020,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174021,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174022,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174023,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174024,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174025,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174026,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174027,F,F,B,B,5,5,c,c,"(2, 5, 8, 11)","(2, 5, 8, 11)",viio7,viio7,A-,A-,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174028,E,E,B-,B-,0,0,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174029,E,E,B-,B-,1,1,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174030,E,E,B-,B-,2,2,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174031,E,E,B-,B-,2,2,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174032,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174033,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174034,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174035,E,E,B-,B-,3,3,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174036,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174037,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174038,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174039,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174040,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174041,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174042,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174043,E,E,B-,B-,4,4,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,f,True,True,True,True,True,True,True,True,False,True
+174044,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174045,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174046,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174047,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174048,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174049,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174050,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174051,E,E,B-,B-,5,5,c,c,"(0, 4, 7, 10)","(0, 4, 7, 10)",V7,V7,G,G,C,C,F,F,True,True,True,True,True,True,True,True,True,True
+174052,F,E,A,A,0,0,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+174053,F,E,A,A,1,1,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+174054,F,E,A,A,2,2,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+174055,F,E,A,A,2,2,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+174056,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,IV,F,A,C,C,C,C,False,True,True,False,False,True,False,True,True,False
+174057,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,A,C,C,C,C,False,True,True,False,False,False,False,True,True,False
+174058,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,I,F,F,C,C,C,C,False,True,True,False,False,False,True,True,True,False
+174059,F,E,A,A,3,3,c,C,"(0, 5, 9)","(0, 4, 9)",IV,IV,F,F,C,C,C,C,False,True,True,False,False,True,True,True,True,False
+174060,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174061,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174062,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174063,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174064,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174065,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174066,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174067,F,F,A,A,4,4,c,C,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,False,True,True,True,True,True,False
+174068,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174069,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174070,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174071,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174072,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174073,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174074,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174075,F,F,A,A,5,5,c,c,"(0, 5, 9)","(0, 5, 9)",IV,IV,F,F,C,C,C,C,True,True,True,True,True,True,True,True,True,True
+174076,F,E-,A,A-,0,0,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174077,F,E-,A,A-,1,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174078,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174079,F,E-,A,A-,2,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174080,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174081,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174082,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174083,F,E-,A,A-,3,3,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174084,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174085,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174086,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174087,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174088,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174089,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174090,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174091,F,D,A,A-,4,4,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174092,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174093,F,E-,A,A-,5,1,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,False,True,False,False,False,True,False,False
+174094,F,E-,A,A-,5,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,False,True,False,False,False,True,False,False
+174095,F,E-,A,A-,5,2,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,False,True,False,False,False,True,False,False
+174096,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
+174097,F,E-,A,A-,5,5,c,c,"(0, 5, 9)","(0, 3, 6, 8)",IV,Ger7,F,F#,C,C,C,c,False,False,True,True,False,False,False,True,False,False
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+174833,F,F,B,B,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174834,F,F,B,B,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174835,F,F,B,B,4,4,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174836,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174837,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174838,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174839,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174840,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174841,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174842,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
+174843,F,F,B,B,5,5,c,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,G,G,D,D,c,c,True,True,True,True,True,True,True,True,True,True
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+177810,F,F,A-,A-,3,3,B-,b-,"(0, 5, 8)","(0, 5, 8)",ii,i,F,F,C,C,E-,f,True,True,True,False,True,False,True,True,False,False
+177811,F,F,A-,A-,3,3,B-,b-,"(0, 5, 8)","(0, 5, 8)",ii,i,F,F,C,C,E-,f,True,True,True,False,True,False,True,True,False,False
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+177813,D-,D,G,G,1,1,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177814,D-,D,G,G,2,2,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177815,D-,D,G,G,2,2,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177816,D-,D,G,G,3,3,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177817,D-,D,G,G,3,3,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177818,D-,D,G,G,3,3,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
+177819,D-,D,G,G,3,3,B-,f,"(1, 5, 7, 10)","(2, 5, 7, 10)",iiø7,viio,F,F,B-,B-,f,f,False,True,True,False,False,False,True,True,True,False
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+177821,D-,C,G-,G,1,1,B-,b-,"(1, 4, 6, 10)","(0, 4, 7, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,False,False,True,True,False,False
+177822,D-,C,G-,G,2,2,B-,b-,"(1, 4, 6, 10)","(0, 4, 7, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,False,False,True,True,False,False
+177823,D-,C,G-,G,2,2,B-,b-,"(1, 4, 6, 10)","(0, 4, 7, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,False,False,True,True,False,False
+177824,D-,C,G-,G,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,True,False,True,True,False,False
+177825,D-,C,G-,G,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,True,False,True,True,False,False
+177826,D-,C,G-,G,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,True,False,True,True,False,False
+177827,D-,C,G-,G,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,f,False,False,True,False,True,False,True,True,False,False
+177828,D-,C,G-,G-,4,0,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,b-,False,True,False,False,True,False,True,True,False,False
+177829,D-,C,G-,G-,4,1,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,b-,False,True,False,False,True,False,True,True,False,False
+177830,D-,C,G-,G-,4,2,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,b-,False,True,False,False,True,False,True,True,False,False
+177831,D-,C,G-,G-,4,4,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,V7,E,E,B-,B-,B-,b-,False,True,True,False,True,False,True,True,False,False
+177832,D-,C,G-,G-,4,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,False,True,False,False,True,True,True,True,False,False
+177833,D-,C,G-,G-,4,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,False,True,False,False,True,True,True,True,False,False
+177834,D-,C,G-,G-,4,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,False,True,False,False,True,True,True,True,False,False
+177835,D-,C,G-,G-,4,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,False,True,False,False,True,True,True,True,False,False
+177836,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177837,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177838,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177839,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177840,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177841,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177842,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177843,D-,D-,G-,G-,5,5,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177844,D-,D-,G-,G-,0,0,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177845,D-,D-,G-,G-,1,1,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177846,D-,D-,G-,G-,2,2,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177847,D-,D-,G-,G-,2,2,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177848,D-,D-,G-,G-,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177849,D-,D-,G-,G-,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177850,D-,D-,G-,G-,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177851,D-,D-,G-,G-,3,3,B-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",Ger7,Ger7,E,E,B-,B-,B-,b-,True,True,True,False,True,True,True,True,False,False
+177852,C,D-,G-,G-,0,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,Ger7,E-,E-,A,B-,b-,b-,False,True,False,False,True,False,True,False,True,False
+177853,C,D-,G-,G-,1,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,Ger7,E-,E-,A,B-,b-,b-,False,True,False,False,True,False,True,False,True,False
+177854,C,D-,G-,G-,2,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,Ger7,E-,E-,A,B-,b-,b-,False,True,False,False,True,False,True,False,True,False
+177855,C,D-,G-,G-,2,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,Ger7,E-,E-,A,B-,b-,b-,False,True,False,False,True,False,True,False,True,False
+177856,C,C,G-,G-,3,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,b-,b-,True,True,False,False,True,True,True,True,True,False
+177857,C,C,G-,G-,3,4,B-,b-,"(0, 3, 6, 9)","(0, 3, 6, 9)",viio7,viio7,E-,E-,A,A,b-,b-,True,True,False,False,True,True,True,True,True,False
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+177871,D-,D-,G-,G-,2,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,viio7,F-,E,B-,B-,C-,b-,True,True,False,False,True,False,False,True,False,False
+177872,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,viio7,F-,E,B-,B-,C-,b-,True,True,True,False,True,False,False,True,False,False
+177873,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b-,True,True,True,False,True,False,False,True,False,False
+177874,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,viio7,F-,E,B-,B-,C-,b-,True,True,True,False,True,False,False,True,False,False
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+177876,D-,D-,G-,G-,0,0,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b-,True,True,True,False,True,False,False,True,False,False
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+177878,D-,D-,G-,G-,2,2,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177879,D-,D-,G-,G-,2,2,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
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+177881,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177882,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177883,D-,D-,G-,G-,3,3,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
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+177885,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177886,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
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+177888,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177889,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177890,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177891,D-,D-,G-,G-,4,4,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177892,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177893,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177894,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177895,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177896,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177897,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177898,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177899,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177900,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177901,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177902,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177903,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177904,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177905,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177906,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
+177907,D-,D-,G-,G-,5,5,C-,b-,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,Ger7,F-,E,B-,B-,C-,b,True,True,True,False,True,False,False,True,False,False
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+181825,C,E-,G,E-,5,5,c,A-,"(0, 3, 7, 8)","(0, 3, 8)",VI7,V,E-,A-,A-,C,c,g,False,False,True,False,False,False,False,False,False,False
+181826,C,E-,G,E-,5,5,c,A-,"(0, 3, 7, 8)","(0, 3, 8)",VI7,V,E-,A-,A-,C,c,g,False,False,True,False,False,False,False,False,False,False
+181827,C,E-,G,E-,5,5,c,A-,"(0, 3, 7, 8)","(0, 3, 8)",VI7,V,E-,A-,A-,C,c,g,False,False,True,False,False,False,False,False,False,False
+181828,E-,E-,A-,E-,0,0,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181829,E-,E-,A-,E-,1,1,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181830,E-,E-,A-,E-,2,2,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181831,E-,E-,A-,E-,2,2,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181832,E-,E-,A-,E-,3,3,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,A-,True,False,True,False,False,False,False,True,False,False
+181833,E-,E-,A-,E-,3,3,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,A-,True,False,True,False,False,False,False,True,False,False
+181834,E-,E-,A-,E-,3,3,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,A-,True,False,True,False,False,False,False,True,False,False
+181835,E-,E-,A-,E-,3,3,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,A-,True,False,True,False,False,False,False,True,False,False
+181836,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181837,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181838,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181839,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181840,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181841,E-,E-,A-,E-,4,4,c,A-,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181842,E-,E-,A-,E-,4,4,c,g,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181843,E-,E-,A-,E-,4,4,c,g,"(0, 3, 6, 8)","(0, 3, 8)",Ger7,I,F#,A-,C,C,c,g,True,False,True,False,False,False,False,True,False,False
+181844,E-,A,A-,E-,5,0,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181845,E-,A,A-,E-,5,1,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181846,E-,A,A-,E-,5,2,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181847,E-,A,A-,E-,5,2,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181848,E-,A,A-,E-,5,3,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181849,E-,A,A-,E-,5,3,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181850,E-,A,A-,E-,5,3,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181851,E-,A,A-,E-,5,3,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181852,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181853,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181854,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181855,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181856,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181857,E-,A,A-,E-,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181858,E-,A,A-,D,5,4,c,g,"(0, 3, 6, 8)","(0, 3, 6, 9)",Ger7,viio7,F#,C,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181859,E-,A,A-,D,5,4,c,g,"(0, 3, 6, 8)","(0, 2, 6, 9)",Ger7,viio7,F#,D,C,F#,c,g,False,False,False,False,False,False,False,False,False,False
+181860,A-,D,D,D,0,0,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,D,F,D,E-,E-,False,True,True,False,True,True,False,False,True,False
+181861,A-,A-,D,D,1,1,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,D,F,F,E-,E-,True,True,True,False,True,True,False,True,True,False
+181862,A-,A-,D,D,2,2,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,D,F,F,E-,E-,True,True,True,False,True,True,False,True,True,False
+181863,A-,A-,D,D,2,2,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181864,A-,A-,D,D,3,3,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181865,A-,A-,D,D,3,3,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181866,A-,A-,D,D,3,3,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181867,A-,A-,D,D,3,3,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181868,A-,B-,D,D,4,4,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181869,A-,B-,D,D,4,4,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
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+181871,A-,B-,D,D,4,4,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181872,A-,B-,D,D,4,4,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181873,A-,B-,D,D,4,4,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181874,A-,B-,D,D,4,4,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181875,A-,B-,D,D,4,4,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181876,A-,B-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181877,A-,B-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181878,A-,A-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181879,A-,B-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181880,A-,A-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181881,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181882,A-,A-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181883,A-,B-,D,D,5,5,E-,g,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,False,True,True,False,True,True,True,True,True,False
+181884,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181885,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181886,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181887,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181888,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181889,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181890,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181891,A-,A-,D,D,5,5,E-,A-,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,B-,B-,F,F,E-,E-,True,True,True,False,True,True,True,True,True,False
+181892,C,E-,G,G,0,0,E-,A-,"(0, 3, 7, 10)","(3, 7, 10)",vi7,I,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181893,C,E-,G,G,1,1,E-,A-,"(0, 3, 7, 10)","(3, 7, 10)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181894,C,E-,G,G,2,2,E-,A-,"(0, 3, 7, 10)","(3, 7, 10)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181895,C,E-,G,G,2,2,E-,A-,"(0, 3, 7, 10)","(3, 7, 10)",vi7,I,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181896,C,E-,G,G,3,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181897,C,E-,G,G,3,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181898,C,E-,G,G,3,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181899,C,E-,G,G,3,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
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+181902,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181903,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181904,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181905,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181906,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181907,C,E-,G,G,4,4,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,E-,B-,B-,E-,A-,False,True,True,False,False,False,True,True,False,False
+181908,C,E-,G,C,5,0,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,A-,B-,E-,E-,c,False,False,False,False,False,False,False,False,False,False
+181909,C,E-,G,C,5,1,E-,G,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,A-,B-,E-,E-,c,False,False,False,False,False,False,False,False,False,False
+181910,C,E-,G,C,5,2,E-,G,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,A-,B-,E-,E-,c,False,False,False,False,False,False,False,False,False,False
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+181913,C,E-,G,C,5,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,A-,B-,E-,E-,c,False,False,False,False,False,False,False,False,False,False
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+181915,C,E-,G,C,5,3,E-,A-,"(0, 3, 7, 10)","(0, 3, 8)",vi7,V7,E-,A-,B-,E-,E-,c,False,False,False,False,False,False,False,False,False,False
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+181920,A-,E-,C,C,3,4,E-,A-,"(0, 3, 8)","(0, 3, 8)",IV,IV,A-,A-,E-,E-,E-,A-,False,True,False,False,True,True,True,True,False,False
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+182027,A-,A-,D-,D-,3,3,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182028,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182029,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182030,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182031,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182032,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182033,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182034,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182035,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182036,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182037,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182038,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182039,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182040,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182041,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182042,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182043,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182044,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182045,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182046,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182047,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182048,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182049,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(0, 1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182050,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,F,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182051,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,I,B,C,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182052,A-,A-,D-,D-,0,0,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182053,A-,A-,D-,D-,1,1,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182054,A-,A-,D-,D-,2,2,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182055,A-,A-,D-,D-,2,2,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182056,A-,A-,D-,D-,3,3,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182057,A-,A-,D-,D-,3,3,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182058,A-,A-,D-,D-,3,3,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182059,A-,A-,D-,D-,3,3,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182060,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182061,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182062,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182063,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182064,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182065,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182066,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182067,A-,A-,D-,D-,4,4,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182068,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182069,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182070,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182071,A-,A-,D-,D-,5,5,C,f,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182072,A-,A-,D-,D-,5,5,C,F,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182073,A-,A-,D-,D-,5,5,C,F,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182074,A-,A-,D-,D-,5,5,C,F,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182075,A-,A-,D-,D-,5,5,C,F,"(1, 5, 8, 11)","(1, 5, 8)",Ger7,VI,B,D-,F,F,F,f,True,True,True,False,False,False,False,True,False,False
+182076,C#,A-,F,D-,0,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182077,C#,A-,F,D-,1,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182078,C#,A-,F,D-,2,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182079,C#,A-,F,D-,2,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182080,C#,A,F,D-,3,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182081,C#,A,F,D-,3,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182082,C#,A,F,D-,3,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182083,C#,A,F,D-,3,5,C,F,"(1, 5, 9)","(1, 5, 8)",III+,VI,F,D-,A,F,d,f,False,False,False,False,False,False,False,False,False,False
+182084,G,G,C,C,0,0,C,F,"(0, 4, 7)","(0, 4, 7)",I,V,C,C,E,E,C,F,True,True,True,False,True,False,True,True,False,False
+182085,G,G,C,C,1,1,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182086,G,G,C,C,2,2,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182087,G,G,C,C,2,2,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182088,G,G,C,C,3,3,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182089,G,G,C,C,3,3,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182090,G,G,C,C,3,3,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182091,G,G,C,C,3,3,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182092,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182093,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182094,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182095,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182096,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182097,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182098,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182099,G,G,C,C,4,4,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,A,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182100,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182101,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182102,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182103,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182104,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182105,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182106,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182107,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182108,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182109,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182110,G,G,C,C,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,True,True,False,True,False,False,True,False,False
+182111,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182112,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182113,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182114,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182115,G,G,C,G,5,5,C,F,"(0, 4, 7)","(0, 4, 7)",I,V7,C,E,E,E,C,F,True,False,True,False,True,False,False,True,False,False
+182116,E,F,A,A,0,0,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182117,E,F,A,A,1,1,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182118,E,F,A,A,2,2,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182119,E,F,A,A,2,2,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182120,E,F,A,A,3,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182121,E,F,A,A,3,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182122,E,F,A,A,3,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182123,E,F,A,A,3,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,I,A,F,C,C,C,F,False,True,True,False,False,False,False,True,False,False
+182124,E,F,A,C,4,0,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,False,False,False,False,False,True,False,False
+182125,E,C,A,C,4,4,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,True,False,False,False,False,True,False,False
+182126,E,C,A,C,4,2,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,False,False,False,False,False,True,False,False
+182127,E,C,A,C,4,4,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,True,False,False,False,False,True,False,False
+182128,E,C,A,C,4,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,False,False,False,False,False,True,False,False
+182129,E,C,A,C,4,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,False,False,False,False,False,True,False,False
+182130,E,C,A,C,4,3,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,False,False,False,False,False,True,False,False
+182131,E,C,A,C,4,4,C,F,"(0, 4, 9)","(0, 5, 9)",vi,V7,A,F,C,C,C,F,False,False,True,False,False,False,False,True,False,False
+182132,C,C,G,G,0,0,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182133,C,C,G,G,1,1,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182134,C,C,G,G,2,2,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182135,C,C,G,G,2,2,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182136,C,C,G,G,3,3,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182137,C,C,G,G,3,3,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182138,C,C,G,G,3,3,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182139,C,C,G,G,3,3,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182140,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182141,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182142,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182143,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182144,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182145,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182146,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 9)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182147,C,C,G,G,4,4,C,F,"(0, 4, 7, 9)","(0, 4, 7)",vi7,V7,E,E,A,A,C,F,True,True,True,False,False,False,True,True,False,False
+182148,A,A,D,D,0,0,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182149,A,A,D,D,1,1,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182150,A,A,D,D,2,2,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182151,A,A,D,D,2,2,C,F,"(0, 2, 5, 9)","(0, 4, 7)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182152,A,A,D,D,3,3,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182153,A,A,D,D,3,3,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182154,A,A,D,D,3,3,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,i,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182155,A,A,D,D,3,3,C,F,"(0, 2, 5, 9)","(0, 4, 9)",ii7,I,C,C,F,C,C,F,True,True,True,False,False,False,True,False,False,False
+182156,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182157,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182158,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182159,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,I,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182160,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,i,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182161,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,i,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182162,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,i,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182163,A,A,D,D,4,4,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,i,C,C,F,F,C,F,True,True,True,False,False,False,True,True,False,False
+182164,A,A,D,A,5,0,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,I,C,F,F,C,C,F,True,False,False,False,False,False,False,False,False,False
+182165,A,F,D,A,5,1,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,F,F,C,C,F,False,False,False,False,False,False,False,False,False,False
+182166,A,F,D,A,5,2,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182167,A,F,D,A,5,2,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182168,A,F,D,A,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182169,A,F,D,A,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182170,A,F,D,A,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182171,A,F,D,A,5,3,C,F,"(0, 2, 5, 9)","(0, 5, 9)",ii7,I,C,F,F,C,C,a,False,False,False,False,False,False,False,False,False,False
+182172,A,F,D,B,5,0,C,F,"(0, 2, 5, 9)","(2, 5, 11)",ii7,viio7,C,F,F,D,C,f#,False,False,False,False,False,False,False,False,False,False
+182173,A,F,D,B,5,1,C,F,"(0, 2, 5, 9)","(2, 5, 11)",ii7,viio7,C,B,F,D,C,d,False,False,False,False,False,False,False,False,False,False
+182174,A,F,D,B,5,2,C,F,"(0, 2, 5, 9)","(2, 5, 11)",ii7,viio7,C,B,F,D,C,a,False,False,False,False,False,False,False,False,False,False
+182175,A,F,D,B,5,2,C,F,"(0, 2, 5, 9)","(2, 5, 8, 11)",ii7,viio7,C,B,F,D,C,a,False,False,False,False,False,False,False,False,False,False
+182176,A,F,D,B,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 8, 11)",ii7,viio7,C,F,F,D,C,d,False,False,False,False,False,False,False,False,False,False
+182177,A,F,D,B,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 8, 11)",ii7,viio7,C,B,F,D,C,d,False,False,False,False,False,False,False,False,False,False
+182178,A,F,D,B,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 8, 11)",ii7,viio7,C,F,F,D,C,d,False,False,False,False,False,False,False,False,False,False
+182179,A,F,D,B,5,3,C,F,"(0, 2, 5, 9)","(2, 5, 8, 11)",ii7,V7,C,F,F,D,C,d,False,False,False,False,False,False,False,False,False,False
+182180,C#,D,F,F,0,0,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,False,True,True,False,True,False,False,True,True,False
+182181,C#,C#,F,F,1,1,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,E,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182182,C#,C#,F,F,2,2,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182183,C#,C#,F,F,2,2,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182184,C#,C#,F,F,3,3,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182185,C#,C#,F,F,3,3,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182186,C#,C#,F,F,3,3,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182187,C#,C#,F,F,3,3,C,F,"(1, 5, 9)","(1, 5, 9)",III+,V,F,D,A,A,d,d,True,True,True,False,True,False,False,True,True,False
+182188,C#,D,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,False,True,True,False,True,True,False,True,True,False
+182189,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182190,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182191,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182192,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182193,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182194,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182195,C#,C#,F,F,4,4,C,F,"(1, 5, 9)","(1, 5, 9)",III+,III+,F,D,A,A,d,d,True,True,True,False,True,True,False,True,True,False
+182196,D,D,F,F,0,0,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182197,D,D,F,F,1,1,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182198,D,D,F,F,2,2,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182199,D,D,F,F,2,2,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182200,D,D,F,F,3,3,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182201,D,D,F,F,3,3,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182202,D,D,F,F,3,3,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182203,D,D,F,F,3,3,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182204,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182205,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182206,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182207,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,a,True,True,True,False,True,False,True,True,False,False
+182208,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,A,True,True,True,False,True,False,True,True,False,False
+182209,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,d,True,True,True,False,True,False,True,True,False,False
+182210,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,i,D,D,A,A,C,d,True,True,True,False,True,False,True,True,False,False
+182211,D,D,F,F,4,4,C,F,"(2, 5, 9)","(2, 5, 9)",ii,iiø7,D,D,A,A,C,A,True,True,True,False,True,False,True,True,False,False
+182212,F,F,B-,B-,0,0,C,F,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182213,F,F,B-,B-,1,1,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182214,F,F,B-,B-,2,2,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182215,F,F,B-,B-,2,2,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182216,F,F,B-,B-,3,3,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182217,F,F,B-,B-,3,3,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182218,F,F,B-,B-,3,3,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182219,F,F,B-,B-,3,3,C,A,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,V7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182220,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182221,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182222,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182223,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182224,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182225,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182226,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182227,F,F,B-,B-,4,4,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,A-,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182228,F,F,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182229,F,F,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,True,True,True,False,False,False,False,True,False,False
+182230,F,D,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,True,True,False,False,False,False,True,False,False
+182231,F,D,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,True,True,False,False,False,False,True,False,False
+182232,F,D,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,True,True,False,False,False,False,True,False,False
+182233,F,D,B-,B-,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,True,True,False,False,False,False,True,False,False
+182234,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182235,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 5, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182236,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182237,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182238,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182239,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
+182240,F,D,B-,F,5,5,C,a,"(2, 5, 8, 10)","(2, 4, 8, 11)",Ger7,viio7,G#,D,D,D,d,a,False,False,True,False,False,False,False,True,False,False
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+182768,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182769,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182770,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182771,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182772,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182773,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182774,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182775,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182776,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182777,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182778,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182779,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182780,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182781,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182782,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182783,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182784,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182785,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182786,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182787,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+182788,G,G,D,D,0,0,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182789,G,G,D,D,1,1,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182790,G,G,D,D,2,2,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182791,G,G,D,D,2,2,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182792,G,G,D,D,3,3,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182793,G,G,D,D,3,3,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182794,G,G,D,D,3,3,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182795,G,G,D,D,3,3,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182796,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182797,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182798,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182799,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182800,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182801,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182802,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182803,G,G,D,D,4,4,C,c,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,False,True,True,True,True,True,False
+182804,A-,G,D-,D-,0,0,E-,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,True,True,False,False,False,True,True,False,False
+182805,A-,G,D-,D-,1,1,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182806,A-,G,D-,D-,2,2,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182807,A-,G,D-,D-,2,2,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182808,A-,G,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182809,A-,G,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182810,A-,G,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182811,A-,G,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182812,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182813,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182814,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182815,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182816,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182817,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182818,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182819,A-,G,D-,D-,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,False,True,True,False,True,True,True,True,False,False
+182820,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182821,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182822,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182823,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182824,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182825,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182826,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182827,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182828,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182829,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182830,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182831,A-,A-,D-,D-,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,True,False,True,True,True,True,False,False
+182832,A-,A-,D-,D-,5,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,False,False,True,True,True,True,False,False
+182833,A-,A-,D-,D-,5,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,False,False,True,True,True,True,False,False
+182834,A-,A-,D-,D-,5,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,False,False,True,True,True,True,False,False
+182835,A-,A-,D-,D-,5,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,Ger7,B,B,F,F,f,c,True,True,False,False,True,True,True,True,False,False
+182836,A-,A-,D-,D-,0,0,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182837,A-,A-,D-,D-,1,1,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182838,A-,A-,D-,D-,2,2,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182839,A-,A-,D-,D-,2,2,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182840,A-,A-,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182841,A-,A-,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182842,A-,A-,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182843,A-,A-,D-,D-,3,3,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,True,True,False,True,False,True,True,False,False
+182844,A-,A-,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,True,False,True,False,True,False,True,True,False,False
+182845,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182846,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182847,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182848,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182849,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182850,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182851,A-,G,D-,G,4,4,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182852,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,F,f,c,False,False,True,False,True,False,False,True,False,False
+182853,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182854,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182855,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182856,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182857,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182858,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182859,A-,G#,D-,G,5,5,E-,c,"(1, 5, 8, 11)","(1, 5, 8, 11)",Ger7,V7,B,F,F,B,f,c,False,False,True,False,True,False,False,False,False,False
+182860,F,G#,A,G,0,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182861,F,G#,A,G,1,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182862,F,G#,A,G,2,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182863,F,G#,A,G,2,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182864,F,G#,A,G,3,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182865,F,G#,A,G,3,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182866,F,G#,A,G,3,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182867,F,G#,A,C#,3,5,E-,c,"(0, 5, 9)","(1, 5, 8, 11)",V,V7,F,F,C,A,B-,c,False,False,False,False,False,False,True,False,False,False
+182868,F,F,B-,B-,0,0,E-,c,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+182869,F,F,B-,B-,1,1,E-,c,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
+182870,F,F,B-,B-,2,2,E-,c,"(2, 5, 8, 10)","(2, 5, 8, 10)",V7,V7,A-,A-,D,D,E-,E-,True,True,True,False,True,True,True,True,True,False
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+183824,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183825,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183826,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183827,G,G,D,D,5,5,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183828,G,G,D,D,0,0,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183829,G,G,D,D,1,1,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183830,G,G,D,D,2,2,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183831,G,G,D,D,2,2,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183832,G,G,D,D,3,3,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183833,G,G,D,D,3,3,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183834,G,G,D,D,3,3,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183835,G,G,D,D,3,3,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183836,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183837,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183838,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183839,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183840,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183841,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183842,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183843,G,G,D,D,4,4,C,C,"(2, 5, 7, 11)","(2, 5, 7, 11)",V7,V7,B,B,F,F,C,C,True,True,True,True,True,True,True,True,True,True
+183844,A-,G,D-,D-,0,0,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,C,False,True,True,True,False,False,True,True,False,False
+183845,A-,G,D-,D-,1,1,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,C,False,True,True,True,False,False,True,True,False,False
+183846,A-,G,D-,D-,2,2,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,C,False,True,True,True,False,False,True,True,False,False
+183847,A-,G,D-,D-,2,2,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,C,False,True,True,True,False,False,True,True,False,False
+183848,A-,G,D-,D-,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,C,False,True,True,True,False,False,False,True,False,False
+183849,A-,G,D-,D-,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,C,False,True,True,True,False,False,False,True,False,False
+183850,A-,G,D-,D-,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,C,False,True,True,True,False,False,False,True,False,False
+183851,A-,G,D-,D-,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,C,False,True,True,True,False,False,False,True,False,False
+183852,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183853,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183854,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183855,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183856,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183857,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183858,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183859,A-,G,D-,D-,4,4,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,False,True,True,True,False,False,False,True,False,False
+183860,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183861,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183862,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183863,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183864,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183865,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183866,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183867,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183868,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183869,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183870,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183871,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183872,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183873,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183874,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183875,A-,A-,D-,D-,5,5,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183876,A-,A-,D-,D-,0,0,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,True,True,True,False,False,False,True,False,False
+183877,A-,A-,D-,G,1,1,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183878,A-,A-,D-,G,2,2,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183879,A-,A-,D-,G,2,2,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183880,A-,A-,D-,G,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183881,A-,A-,D-,G,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183882,A-,A-,D-,G,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183883,A-,A-,D-,G,3,3,C,C,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,F,F,F,f,c,True,False,True,True,False,False,False,True,False,False
+183884,A-,A-,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,True,False,True,False,False,False,True,True,False,False
+183885,A-,A-,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,True,False,True,False,False,False,True,True,False,False
+183886,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183887,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183888,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183889,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183890,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183891,A-,G,D-,D,4,4,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183892,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183893,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183894,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183895,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183896,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 7, 11)",Ger7,V7,B,C,F,F,f,c,False,False,True,False,False,False,False,True,False,False
+183897,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183898,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,F,f,c,False,False,True,False,False,False,False,True,False,False
+183899,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,F,f,c,False,False,True,False,False,False,False,True,False,False
+183900,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183901,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,B,F,F,f,c,False,False,True,False,False,False,True,True,False,False
+183902,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,F,f,c,False,False,True,False,False,False,False,True,False,False
+183903,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,F,f,c,False,False,True,False,False,False,False,True,False,False
+183904,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,D,f,c,False,False,True,False,False,False,False,False,False,False
+183905,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,D,f,c,False,False,True,False,False,False,False,False,False,False
+183906,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,V7,B,C,F,D,f,c,False,False,True,False,False,False,False,False,False,False
+183907,A-,G,D-,D,5,5,C,c,"(1, 5, 8, 11)","(2, 5, 8, 11)",Ger7,Ger7,B,C,F,D,f,c,False,False,True,False,False,True,False,False,False,False
+183908,E-,F#,A-,C,0,0,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183909,E-,F#,A-,C,1,1,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183910,E-,F#,A-,C,2,2,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183911,E-,F#,A-,C,2,2,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183912,E-,F#,A-,C,3,3,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183913,E-,F#,A-,C,3,3,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183914,E-,F#,A-,C,3,3,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183915,E-,F#,A-,C,3,3,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183916,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183917,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183918,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183919,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183920,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183921,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183922,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183923,E-,F#,A-,C,4,4,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183924,E-,F#,A-,C,5,5,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183925,E-,F#,A-,C,5,5,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
+183926,E-,F#,A-,C,5,5,C,c,"(0, 3, 6, 8)","(0, 3, 6, 8)",Ger7,viio7,F#,A-,C,E-,C,c,False,False,True,False,True,False,False,False,False,False
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+196763,B,B,D,D,3,3,A,A,"(2, 6, 11)","(1, 2, 6, 9)",ii,ii7,B,B,F#,F#,A,A,True,True,True,True,False,False,True,True,True,True
+196764,B,B,D,D,3,3,A,A,"(2, 6, 11)","(1, 2, 6, 9)",ii,ii7,B,B,F#,F#,A,A,True,True,True,True,False,False,True,True,True,True
+196765,B,B,D,D,3,3,A,A,"(2, 6, 11)","(1, 2, 6, 9)",ii,ii7,B,B,F#,F#,A,A,True,True,True,True,False,False,True,True,True,True
+196766,B,F#,D,B,4,0,A,A,"(2, 6, 11)","(2, 6, 11)",ii,ii,B,G#,F#,D,A,A,False,False,False,True,True,True,False,False,True,False
+196767,B,F#,D,B,4,1,A,A,"(2, 6, 11)","(2, 6, 11)",ii,ii,B,G#,F#,D,A,A,False,False,False,True,True,True,False,False,True,False
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+196769,B,F#,D,B,4,2,A,A,"(2, 6, 11)","(2, 6, 11)",ii,ii,B,G#,F#,D,A,A,False,False,False,True,True,True,False,False,True,False
+196770,B,B,E,E,0,0,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+196771,B,B,E,E,1,1,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+196772,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+196773,B,B,E,E,2,2,A,A,"(2, 4, 8, 11)","(2, 4, 8, 11)",V7,V7,D,D,G#,G#,A,A,True,True,True,True,True,True,True,True,True,True
+196774,E,E,A,A,0,0,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196775,E,E,A,A,1,1,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196776,E,E,A,A,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196777,E,E,A,A,2,2,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196778,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196779,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196780,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196781,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196782,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,V,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+196783,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,V,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
+196784,E,E,A,A,4,4,A,A,"(1, 4, 9)","(1, 4, 9)",I,V,A,A,C#,C#,A,A,True,True,True,True,True,False,True,True,True,True
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+196803,C#,C#,F#,F#,3,3,A,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+196804,C#,C#,F#,F#,3,3,A,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
+196805,C#,C#,F#,F#,3,3,A,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,False,True,True,True,True,True,False
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+196808,F#,F#,B,B,2,2,A,b,"(2, 6, 11)","(2, 6, 11)",ii,i,B,B,D,D,A,b,True,True,True,False,True,False,True,True,False,False
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+196818,F#,F#,B,B,4,4,A,D,"(2, 6, 11)","(2, 6, 11)",ii,i,B,B,D,D,A,b,True,True,True,False,True,False,True,True,False,False
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+196827,G,G,B-,B-,3,3,A,D,"(2, 7, 10)","(2, 7, 10)",iv,iv,G,G,D,D,d,d,True,True,True,False,True,True,True,True,True,False
+196828,G,G,B-,B-,3,3,A,D,"(2, 7, 10)","(2, 7, 10)",iv,iv,G,G,D,D,d,d,True,True,True,False,True,True,True,True,True,False
+196829,G,G,B-,B-,3,3,A,D,"(2, 7, 10)","(2, 7, 10)",iv,iv,G,G,D,D,d,d,True,True,True,False,True,True,True,True,True,False
+196830,E,E,A,A,0,0,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196831,E,E,A,A,1,1,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196832,E,E,A,A,2,2,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196833,E,E,A,A,2,2,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196834,E,E,A,A,3,3,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196835,E,E,A,A,3,3,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196836,E,E,A,A,3,3,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196837,E,E,A,A,3,3,A,A,"(1, 4, 7, 9)","(1, 4, 7, 9)",V7,V7,G,G,C#,C#,D,D,True,True,True,True,True,True,True,True,True,True
+196838,A,A,D,D,0,0,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196839,A,A,D,D,1,1,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196840,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196841,A,A,D,D,2,2,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196842,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196843,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196844,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196845,A,A,D,D,3,3,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,D,True,True,True,True,True,False,True,True,False,True
+196846,A,A,D,D,4,0,A,f#,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,False,False,True,False,True,True,True,False
+196847,A,A,D,D,4,4,A,A,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,A,True,True,True,True,True,False,True,True,True,True
+196848,A,A,D,D,4,4,A,f#,"(2, 6, 9)","(2, 6, 9)",IV,I,D,D,F#,F#,A,f#,True,True,True,False,True,False,True,True,False,False
+196849,A,A,D,D,4,4,A,f#,"(2, 6, 9)","(2, 6, 9)",IV,V7,D,D,F#,F#,A,f#,True,True,True,False,True,False,True,True,False,False
+196850,A,B,D,D,4,4,A,f#,"(2, 6, 9)","(2, 6, 9)",IV,V7,D,D,F#,F#,A,f#,False,True,True,False,True,False,True,True,False,False
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+196955,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196956,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
+196957,E,E,A,A,3,3,A,A,"(1, 4, 9)","(1, 4, 9)",I,I,A,A,C#,C#,A,A,True,True,True,True,True,True,True,True,True,True
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+198033,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198034,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198035,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198036,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198037,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198038,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198039,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(3, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,False,False,True,False,True,False
+198040,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(3, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,False,False,True,False,True,False
+198041,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(3, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,False,False,True,False,True,False
+198042,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198043,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198044,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198045,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,I,B,B,D,D#,b,b,True,True,True,True,True,False,True,False,True,False
+198046,F#,F#,A#,A#,0,0,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198047,F#,F#,A#,A#,1,1,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198048,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198049,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198050,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198051,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198052,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198053,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198054,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198055,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198056,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198057,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198058,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198059,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198060,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198061,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198062,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198063,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198064,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198065,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198066,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198067,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198068,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198069,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198070,B,B,D,D,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198071,B,B,D,D,1,1,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198072,B,B,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198073,B,B,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198074,B,B,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198075,B,B,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198076,B,B,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198077,B,B,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198078,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198079,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198080,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198081,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198082,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198083,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198084,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198085,B,B,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198086,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198087,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198088,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198089,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198090,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198091,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198092,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198093,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
+198094,A#,C#,C#,C#,0,0,b,b,"(1, 6, 10)","(1, 6, 10)",V,i,F#,F#,F#,F#,b,b,False,True,True,True,True,False,True,True,True,False
+198095,A#,C#,C#,C#,1,1,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198096,A#,C#,C#,C#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198097,A#,C#,C#,C#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198098,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198099,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198100,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198101,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198102,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198103,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198104,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198105,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198106,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198107,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198108,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198109,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198110,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198111,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198112,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198113,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198114,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198115,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198116,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198117,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198118,F#,F#,B,B,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198119,F#,F#,B,B,1,1,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198120,F#,F#,B,B,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198121,F#,F#,B,B,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198122,F#,F#,B,B,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198123,F#,F#,B,B,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198124,F#,F#,B,B,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198125,F#,F#,B,B,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D#,b,b,True,True,True,True,True,True,True,False,True,False
+198126,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198127,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198128,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198129,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198130,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198131,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198132,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198133,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198134,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198135,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198136,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198137,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198138,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198139,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198140,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198141,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198142,F#,F#,A,A,0,0,b,b,"(1, 6, 9)","(1, 6, 9)",iii,i,F#,F#,C#,C#,D,D,True,True,True,True,True,False,True,True,True,True
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+198469,F#,F#,C,C,4,4,b,b,"(0, 4, 6, 10)","(1, 4, 6, 10)",Fr7,V7,A#,A#,E,E,e,b,True,True,True,True,False,False,True,True,False,True
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+198475,F#,F#,C,C,5,5,b,b,"(0, 4, 6, 10)","(1, 4, 6, 10)",Fr7,V7,A#,A#,E,E,e,b,True,True,True,True,False,False,True,True,False,True
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+198480,F#,F#,B,B,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+198485,F#,F#,B,B,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+198489,F#,F#,B,B,4,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,False,True,True,True,True,True,True,True
+198490,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198491,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198492,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198493,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198494,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198495,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198496,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198497,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198498,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198499,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198500,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198501,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+198503,F#,F#,A#,A#,1,1,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198504,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198505,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198506,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198507,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198508,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198509,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198510,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198511,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198512,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198513,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198514,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198515,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198516,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198517,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198518,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198519,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198520,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198521,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198522,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198523,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198524,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+198525,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
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+198527,B,A,D,D,1,1,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198528,B,A,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198529,B,A,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198530,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198531,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198532,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198533,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+198534,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,D,F#,F#,b,b,False,True,True,True,True,True,False,True,True,False
+198535,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,D,F#,F#,b,b,False,True,True,True,True,True,False,True,True,False
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+198538,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,D,F#,F#,b,b,False,True,True,True,True,True,False,True,True,False
+198539,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,D,F#,F#,b,b,False,True,True,True,True,True,False,True,True,False
+198540,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,D,F#,F#,b,b,False,True,True,True,True,True,False,True,True,False
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+198542,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
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+198544,B,B,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,F#,F#,b,b,True,True,True,True,True,True,True,True,True,True
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+198555,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198556,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198557,A#,C#,C#,C#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198558,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198559,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198560,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198561,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198562,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198563,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,F#,b,b,False,True,True,True,True,True,True,True,True,False
+198564,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198565,A#,C#,C#,C#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198566,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198567,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198568,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198569,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198570,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198571,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198572,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198573,A#,C#,C#,C#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,F#,A#,b,b,False,True,True,True,True,True,True,False,True,False
+198574,F#,F#,B,B,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198575,F#,F#,B,B,1,1,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+198576,F#,F#,B,B,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+198870,E#,E#,A#,A#,4,4,d#,d#,"(2, 5, 10)","(2, 5, 10)",V,V,A#,A#,C##,C##,d#,d#,True,True,True,True,True,True,True,True,True,True
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+198893,D,D,G,G,3,3,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
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+198895,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
+198896,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
+198897,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
+198898,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
+198899,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
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+198901,D,D,G,G,4,4,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,f#,True,True,True,True,True,False,True,True,False,True
+198902,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198903,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198904,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198905,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198906,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198907,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,F,B,B,b,b,True,True,True,True,True,False,False,True,True,False
+198908,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,F,B,B,b,b,True,True,True,True,True,False,False,True,True,False
+198909,D,D,G,G,5,5,b,b,"(2, 5, 7, 11)","(2, 5, 7, 11)",Ger7,V7,E#,E#,B,B,b,b,True,True,True,True,True,False,True,True,True,True
+198910,D,D,F#,F#,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198911,D,D,F#,F#,1,1,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198912,D,D,F#,F#,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198913,D,D,F#,F#,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198914,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198915,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198916,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198917,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198918,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198919,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198920,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198921,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198922,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198923,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198924,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198925,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198926,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198927,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198928,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198929,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198930,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198931,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198932,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198933,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198934,D,D,F#,F#,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198935,D,D,F#,F#,1,1,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198936,D,D,F#,F#,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198937,D,D,F#,F#,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198938,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198939,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198940,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198941,D,D,F#,F#,3,3,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198942,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198943,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198944,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198945,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198946,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198947,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198948,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198949,D,D,F#,F#,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198950,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198951,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198952,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198953,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198954,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198955,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198956,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198957,D,D,F#,F#,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,B,B,b,b,True,True,True,True,True,True,True,True,True,True
+198958,A#,C#,E,G,0,0,b,b,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,True,False,False,True,True,False
+198959,A#,C#,E,G,1,1,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,False,False,False,True,True,False
+198960,A#,C#,E,G,2,2,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,False,False,False,True,True,False
+198961,A#,C#,E,G,2,2,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,False,False,False,True,True,False
+198962,A#,C#,E,G,3,3,b,b,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,True,False,False,True,True,False
+198963,A#,C#,E,G,3,3,b,b,"(1, 4, 7, 10)","(1, 4, 7, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,True,False,False,True,True,False
+198964,A#,C#,E,G,3,3,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,False,False,False,True,True,False
+198965,A#,C#,E,G,3,3,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,G,b,b,False,False,True,True,False,False,False,True,True,False
+198966,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198967,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198968,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198969,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198970,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198971,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198972,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198973,A#,C#,E,F#,4,4,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198974,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198975,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198976,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198977,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198978,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198979,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198980,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198981,A#,C#,E,F#,5,5,b,b,"(1, 4, 7, 10)","(1, 4, 6, 10)",viio7,V7,C#,E,G,A#,b,b,False,False,True,True,False,False,False,False,True,False
+198982,C#,C#,F#,F#,0,0,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198983,C#,C#,F#,F#,1,1,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198984,C#,C#,F#,F#,2,2,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198985,C#,C#,F#,F#,2,2,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198986,C#,C#,F#,F#,3,3,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198987,C#,C#,F#,F#,3,3,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198988,C#,C#,F#,F#,3,3,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198989,C#,C#,F#,F#,3,3,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198990,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198991,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198992,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198993,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198994,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198995,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198996,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198997,C#,C#,F#,F#,4,4,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198998,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+198999,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199000,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199001,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199002,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199003,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199004,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199005,C#,C#,F#,F#,5,5,b,b,"(1, 4, 6, 10)","(1, 4, 6, 10)",V7,V7,E,E,A#,A#,b,b,True,True,True,True,True,True,True,True,True,True
+199006,F#,F#,B,B,0,0,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199008,F#,F#,B,B,2,2,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199016,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199019,F#,F#,B,B,4,4,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199023,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199025,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+199026,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+199027,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+199028,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
+199029,F#,F#,B,B,5,5,b,b,"(2, 6, 11)","(2, 6, 11)",i,i,B,B,D,D,b,b,True,True,True,True,True,True,True,True,True,True
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+199031,F#,F#,A#,A#,1,1,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199032,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199033,F#,F#,A#,A#,2,2,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199034,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199035,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199036,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199037,F#,F#,A#,A#,3,3,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199038,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199039,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199040,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199041,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199042,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199043,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199044,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199045,F#,F#,A#,A#,4,4,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199046,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199047,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199048,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199049,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199050,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199051,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199052,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
+199053,F#,F#,A#,A#,5,5,b,b,"(1, 6, 10)","(1, 6, 10)",V,V,F#,F#,C#,C#,b,b,True,True,True,True,True,True,True,True,True,True
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+199055,B,A,D,D,1,1,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199056,B,A,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199057,B,A,D,D,2,2,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199058,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199059,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199060,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199061,B,A,D,D,3,3,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199062,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199063,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199064,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199065,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199066,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199067,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199068,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199069,B,A,D,D,4,4,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199070,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199071,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199072,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199073,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199074,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199075,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199076,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
+199077,B,A,D,D,5,5,b,b,"(2, 6, 11)","(2, 6, 9)",i,I,B,D,F#,F#,b,b,False,True,True,True,False,False,False,True,True,False
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+199079,G,G,C,C,1,1,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199080,G,G,C,C,2,2,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199081,G,G,C,C,2,2,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199082,G,G,C,C,3,3,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199083,G,G,C,C,3,3,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199084,G,G,C,C,3,3,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199085,G,G,C,C,3,3,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199086,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199087,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199088,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199089,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199090,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199091,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199092,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199093,G,G,C,C,4,4,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199094,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199095,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199096,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199097,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199098,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199099,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199100,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199101,G,G,C,C,5,5,b,b,"(0, 4, 7)","(0, 4, 7)",N,N,C,C,E,E,b,e,True,True,True,True,True,True,True,True,False,True
+199102,F#,F#,B,B,0,0,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199103,F#,F#,B,B,1,1,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199104,F#,F#,B,B,2,2,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199105,F#,F#,B,B,2,2,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199106,F#,F#,B,B,3,3,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199107,F#,F#,B,B,3,3,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199108,F#,F#,B,B,3,3,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199109,F#,F#,B,B,3,3,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199110,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199111,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199112,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199113,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199114,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199115,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
+199116,F#,F#,B,B,4,4,b,b,"(3, 6, 9, 11)","(3, 6, 9, 11)",V7,V7,A,A,D#,D#,e,e,True,True,True,True,True,True,True,True,True,True
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+214602,F##,G#,C#,C#,0,4,g#,c#,"(1, 4, 7, 10)","(1, 4, 8)",viio7,viio7,A#,C#,E,E,g#,G#,False,True,False,False,False,True,False,True,False,False
+214603,F##,G#,C#,C#,1,4,g#,c#,"(1, 4, 7, 10)","(1, 4, 8)",viio7,viio7,A#,C#,E,E,g#,G#,False,True,False,False,False,True,False,True,False,False
+214604,F##,G#,C#,C#,2,4,g#,c#,"(1, 4, 7, 10)","(1, 4, 8)",viio7,viio7,A#,C#,E,E,g#,G#,False,True,False,False,False,True,False,True,False,False
+214605,F##,G#,C#,C#,2,4,g#,c#,"(1, 4, 7, 10)","(1, 4, 8)",viio7,viio7,A#,C#,E,E,g#,G#,False,True,False,False,False,True,False,True,False,False
+214606,F##,G#,C#,C#,3,5,g#,c#,"(1, 4, 7, 10)","(0, 3, 8)",viio7,I,A#,G#,E,E,g#,G#,False,True,False,False,False,False,False,True,False,False
+214607,F##,G#,C#,C#,3,5,g#,c#,"(1, 4, 7, 10)","(0, 3, 8)",viio7,I,A#,G#,E,E#,g#,G#,False,True,False,False,False,False,False,False,False,False
+214608,F##,G#,C#,C#,3,5,g#,c#,"(1, 4, 7, 10)","(0, 3, 8)",viio7,I,A#,G#,E,E#,g#,G#,False,True,False,False,False,False,False,False,False,False
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+214636,D#,D#,G#,G#,5,6,g#,c#,"(0, 3, 8)","(0, 3, 8)",I,I,G#,G#,B#,B#,G#,c#,True,True,False,False,True,True,True,True,False,False
+214637,D#,D#,G#,G#,5,5,g#,c#,"(0, 3, 8)","(0, 3, 8)",I,I,G#,G#,B#,B#,G#,c#,True,True,True,False,True,True,True,True,False,False
diff --git a/AugmentedNet/summary.txt b/AugmentedNet/summary.txt
new file mode 100644
index 00000000..068cec78
--- /dev/null
+++ b/AugmentedNet/summary.txt
@@ -0,0 +1,10 @@
+Alto35: 0.724
+Bass35: 0.773
+HarmonicRhythm7: 0.82
+LocalKey38: 0.798
+PitchClassSet121: 0.777
+RomanNumeral31: 0.653
+Soprano35: 0.766
+Tenor35: 0.748
+TonicizedKey38: 0.809
+satbRomanNumeral: 0.478
diff --git a/misc/texturize_example.py b/misc/texturize_example.py
index f3fe265a..4db3e804 100644
--- a/misc/texturize_example.py
+++ b/misc/texturize_example.py
@@ -15,8 +15,8 @@
     "abc-op18-no1-1",
     "bps-22-op054-1",
     "bps-25-op079-sonatina-1",
-    "haydnop20-no2-3",
-    "haydnop20-no4-1",
+    "haydnsun-no2-3",
+    "haydnsun-no4-1",
     "tavern-beethoven-woo-69-b",
     "tavern-beethoven-woo-70-a",
     "tavern-beethoven-woo-70-b",
diff --git a/notebooks/AggregateTsvs.ipynb b/notebooks/AggregateTsvs.ipynb
index c864598d..9f28f16e 100644
--- a/notebooks/AggregateTsvs.ipynb
+++ b/notebooks/AggregateTsvs.ipynb
@@ -177,22 +177,22 @@
       "dataset/training/tavern-mozart-k354-b.tsv\n",
       "dataset/training/tavern-beethoven-woo-71-a.tsv\n",
       "dataset/training/tavern-beethoven-woo-71-b.tsv\n",
-      "dataset/training/haydnop20-no6-3.tsv\n",
-      "dataset/training/haydnop20-no1-1.tsv\n",
-      "dataset/training/haydnop20-no4-1.tsv\n",
-      "dataset/training/haydnop20-no4-3.tsv\n",
-      "dataset/training/haydnop20-no1-3.tsv\n",
-      "dataset/training/haydnop20-no6-2.tsv\n",
-      "dataset/training/haydnop20-no3-1.tsv\n",
-      "dataset/training/haydnop20-no5-1.tsv\n",
-      "dataset/training/haydnop20-no1-4.tsv\n",
-      "dataset/training/haydnop20-no2-3.tsv\n",
-      "dataset/training/haydnop20-no5-4.tsv\n",
-      "dataset/training/haydnop20-no3-2.tsv\n",
-      "dataset/training/haydnop20-no4-4.tsv\n",
-      "dataset/training/haydnop20-no2-1.tsv\n",
-      "dataset/training/haydnop20-no4-2.tsv\n",
-      "dataset/training/haydnop20-no6-1.tsv\n",
+      "dataset/training/haydnsun-no6-3.tsv\n",
+      "dataset/training/haydnsun-no1-1.tsv\n",
+      "dataset/training/haydnsun-no4-1.tsv\n",
+      "dataset/training/haydnsun-no4-3.tsv\n",
+      "dataset/training/haydnsun-no1-3.tsv\n",
+      "dataset/training/haydnsun-no6-2.tsv\n",
+      "dataset/training/haydnsun-no3-1.tsv\n",
+      "dataset/training/haydnsun-no5-1.tsv\n",
+      "dataset/training/haydnsun-no1-4.tsv\n",
+      "dataset/training/haydnsun-no2-3.tsv\n",
+      "dataset/training/haydnsun-no5-4.tsv\n",
+      "dataset/training/haydnsun-no3-2.tsv\n",
+      "dataset/training/haydnsun-no4-4.tsv\n",
+      "dataset/training/haydnsun-no2-1.tsv\n",
+      "dataset/training/haydnsun-no4-2.tsv\n",
+      "dataset/training/haydnsun-no6-1.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung.tsv\n",
       "dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer.tsv\n",
diff --git a/notebooks/DatasetSummary.ipynb b/notebooks/DatasetSummary.ipynb
index c05e228e..ecb0f304 100644
--- a/notebooks/DatasetSummary.ipynb
+++ b/notebooks/DatasetSummary.ipynb
@@ -90,10 +90,10 @@
       "test dataset/test/tavern-beethoven-woo-78-b.tsv\n",
       "test dataset/test/tavern-beethoven-woo-70-a.tsv\n",
       "test dataset/test/tavern-beethoven-woo-70-b.tsv\n",
-      "test dataset/test/haydnop20-no2-2.tsv\n",
-      "test dataset/test/haydnop20-no3-4.tsv\n",
-      "test dataset/test/haydnop20-no5-3.tsv\n",
-      "test dataset/test/haydnop20-no6-4.tsv\n",
+      "test dataset/test/haydnsun-no2-2.tsv\n",
+      "test dataset/test/haydnsun-no3-4.tsv\n",
+      "test dataset/test/haydnsun-no5-3.tsv\n",
+      "test dataset/test/haydnsun-no6-4.tsv\n",
       "test dataset/test/wir-openscore-liedercorpus-schubert-die-schone-mullerin-d-795-12-pause.tsv\n",
       "test dataset/test/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-08-der-atlas.tsv\n",
       "test dataset/test/wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber.tsv\n",
@@ -146,10 +146,10 @@
       "validation dataset/validation/tavern-mozart-k455-b.tsv\n",
       "validation dataset/validation/tavern-beethoven-woo-80-a.tsv\n",
       "validation dataset/validation/tavern-beethoven-woo-80-b.tsv\n",
-      "validation dataset/validation/haydnop20-no1-2.tsv\n",
-      "validation dataset/validation/haydnop20-no2-4.tsv\n",
-      "validation dataset/validation/haydnop20-no3-3.tsv\n",
-      "validation dataset/validation/haydnop20-no5-2.tsv\n",
+      "validation dataset/validation/haydnsun-no1-2.tsv\n",
+      "validation dataset/validation/haydnsun-no2-4.tsv\n",
+      "validation dataset/validation/haydnsun-no3-3.tsv\n",
+      "validation dataset/validation/haydnsun-no5-2.tsv\n",
       "validation dataset/validation/wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet.tsv\n",
       "validation dataset/validation/wir-openscore-liedercorpus-hensel-6-lieder-op-9-5-der-maiabend.tsv\n",
       "validation dataset/validation/wir-openscore-liedercorpus-brahms-6-songs-op-3-3-liebe-und-fruhling-ii.tsv\n",
@@ -289,22 +289,22 @@
       "training dataset/training/tavern-mozart-k354-b.tsv\n",
       "training dataset/training/tavern-beethoven-woo-71-a.tsv\n",
       "training dataset/training/tavern-beethoven-woo-71-b.tsv\n",
-      "training dataset/training/haydnop20-no6-3.tsv\n",
-      "training dataset/training/haydnop20-no1-1.tsv\n",
-      "training dataset/training/haydnop20-no4-1.tsv\n",
-      "training dataset/training/haydnop20-no4-3.tsv\n",
-      "training dataset/training/haydnop20-no1-3.tsv\n",
-      "training dataset/training/haydnop20-no6-2.tsv\n",
-      "training dataset/training/haydnop20-no3-1.tsv\n",
-      "training dataset/training/haydnop20-no5-1.tsv\n",
-      "training dataset/training/haydnop20-no1-4.tsv\n",
-      "training dataset/training/haydnop20-no2-3.tsv\n",
-      "training dataset/training/haydnop20-no5-4.tsv\n",
-      "training dataset/training/haydnop20-no3-2.tsv\n",
-      "training dataset/training/haydnop20-no4-4.tsv\n",
-      "training dataset/training/haydnop20-no2-1.tsv\n",
-      "training dataset/training/haydnop20-no4-2.tsv\n",
-      "training dataset/training/haydnop20-no6-1.tsv\n",
+      "training dataset/training/haydnsun-no6-3.tsv\n",
+      "training dataset/training/haydnsun-no1-1.tsv\n",
+      "training dataset/training/haydnsun-no4-1.tsv\n",
+      "training dataset/training/haydnsun-no4-3.tsv\n",
+      "training dataset/training/haydnsun-no1-3.tsv\n",
+      "training dataset/training/haydnsun-no6-2.tsv\n",
+      "training dataset/training/haydnsun-no3-1.tsv\n",
+      "training dataset/training/haydnsun-no5-1.tsv\n",
+      "training dataset/training/haydnsun-no1-4.tsv\n",
+      "training dataset/training/haydnsun-no2-3.tsv\n",
+      "training dataset/training/haydnsun-no5-4.tsv\n",
+      "training dataset/training/haydnsun-no3-2.tsv\n",
+      "training dataset/training/haydnsun-no4-4.tsv\n",
+      "training dataset/training/haydnsun-no2-1.tsv\n",
+      "training dataset/training/haydnsun-no4-2.tsv\n",
+      "training dataset/training/haydnsun-no6-1.tsv\n",
       "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse.tsv\n",
       "training dataset/training/wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung.tsv\n",
       "training dataset/training/wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer.tsv\n",
@@ -440,7 +440,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "haydn = df[(df.collection == \"haydnop20\")]"
+    "haydn = df[(df.collection == \"haydnsun\")]"
    ]
   },
   {
@@ -559,7 +559,7 @@
       "wirwtc\n",
       "abc\n",
       "tavern\n",
-      "haydnop20\n",
+      "haydnsun\n",
       "wir\n"
      ]
     },
@@ -584,7 +584,7 @@
       "wirwtc\n",
       "abc\n",
       "tavern\n",
-      "haydnop20\n",
+      "haydnsun\n",
       "wir\n"
      ]
     },
@@ -609,7 +609,7 @@
       "wirwtc\n",
       "abc\n",
       "tavern\n",
-      "haydnop20\n",
+      "haydnsun\n",
       "wir\n"
      ]
     },
diff --git a/notebooks/MeterDistribution.ipynb b/notebooks/MeterDistribution.ipynb
index e30e462a..80864047 100644
--- a/notebooks/MeterDistribution.ipynb
+++ b/notebooks/MeterDistribution.ipynb
@@ -134,7 +134,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "['abc-op18-no3-4', 'abc-op18-no4-2', 'abc-op18-no5-1', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op59-no1-2', 'abc-op59-no2-1', 'abc-op59-no3-2', 'abc-op74-2', 'abc-op95-4', 'abc-op127-4', 'abc-op130-4', 'abc-op131-2', 'abc-op131-4', 'abc-op132-3', 'abc-op132-3', 'abc-op135-3', 'bps-04-op007-1', 'bps-12-op026-1', 'bps-13-op027-no1-1', 'bps-28-op101-1', 'haydnop20-no1-3', 'haydnop20-no2-4', 'haydnop20-no5-3', 'haydnop20-no6-1', 'mps-k280-2', 'mps-k280-3', 'mps-k281-2', 'mps-k283-3', 'mps-k311-3', 'mps-k311-3', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k332-3', 'mps-k576-1', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-b', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-70-a', 'tavern-beethoven-woo-70-b', 'tavern-beethoven-woo-71-a', 'tavern-beethoven-woo-71-b', 'tavern-beethoven-woo-73-a', 'tavern-beethoven-woo-73-b', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-76-b', 'tavern-mozart-k353-a', 'tavern-mozart-k353-a', 'tavern-mozart-k353-b', 'tavern-mozart-k353-b', 'tavern-mozart-k455-a', 'tavern-mozart-k455-a', 'tavern-mozart-k455-b', 'tavern-mozart-k455-b', 'wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein', 'wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber', 'wirwtc-bach-wtc-i-3', 'wirwtc-bach-wtc-i-18']\n"
+      "['abc-op18-no3-4', 'abc-op18-no4-2', 'abc-op18-no5-1', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op18-no6-4', 'abc-op59-no1-2', 'abc-op59-no2-1', 'abc-op59-no3-2', 'abc-op74-2', 'abc-op95-4', 'abc-op127-4', 'abc-op130-4', 'abc-op131-2', 'abc-op131-4', 'abc-op132-3', 'abc-op132-3', 'abc-op135-3', 'bps-04-op007-1', 'bps-12-op026-1', 'bps-13-op027-no1-1', 'bps-28-op101-1', 'haydnsun-no1-3', 'haydnsun-no2-4', 'haydnsun-no5-3', 'haydnsun-no6-1', 'mps-k280-2', 'mps-k280-3', 'mps-k281-2', 'mps-k283-3', 'mps-k311-3', 'mps-k311-3', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k331-1', 'mps-k332-3', 'mps-k576-1', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-a', 'tavern-beethoven-op34-b', 'tavern-beethoven-op34-b', 'tavern-beethoven-op76-a', 'tavern-beethoven-op76-b', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-a', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-65-b', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-a', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-66-b', 'tavern-beethoven-woo-70-a', 'tavern-beethoven-woo-70-b', 'tavern-beethoven-woo-71-a', 'tavern-beethoven-woo-71-b', 'tavern-beethoven-woo-73-a', 'tavern-beethoven-woo-73-b', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-a', 'tavern-beethoven-woo-76-b', 'tavern-beethoven-woo-76-b', 'tavern-mozart-k353-a', 'tavern-mozart-k353-a', 'tavern-mozart-k353-b', 'tavern-mozart-k353-b', 'tavern-mozart-k455-a', 'tavern-mozart-k455-a', 'tavern-mozart-k455-b', 'tavern-mozart-k455-b', 'wir-openscore-liedercorpus-coleridge-taylor-oh-the-summer', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-3-abendbild', 'wir-openscore-liedercorpus-hensel-5-lieder-op-10-5-bergeslust', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-1-schwanenlied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-3-warum-sind-denn-die-rosen-so-blass', 'wir-openscore-liedercorpus-hensel-6-lieder-op-1-6-gondellied', 'wir-openscore-liedercorpus-hensel-6-lieder-op-9-3-der-rosenkranz', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-01-fruhlingsblumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-03-die-blume-der-blumen', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-04-wachtelwacht', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-07-die-wiese', 'wir-openscore-liedercorpus-reichardt-zwolf-gesange-op-3-08-kaeuzlein', 'wir-openscore-liedercorpus-schubert-op-59-3-du-bist-die-ruh', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-02-kriegers-ahnung', 'wir-openscore-liedercorpus-schubert-schwanengesang-d-957-10-das-fischermadchen', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-02-die-wetterfahne', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-09-irrlicht', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-11-fruhlingstraum', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-13-die-post', 'wir-openscore-liedercorpus-schubert-winterreise-d-911-19-tauschung', 'wir-openscore-liedercorpus-schumann-6-lieder-op-13-2-sie-liebten-sich-beide', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-09-das-ist-ein-floten-und-geigen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-12-am-leuchtenden-sommermorgen', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet', 'wir-openscore-liedercorpus-schumann-dichterliebe-op-48-15-aus-alten-marchen-winkt-es', 'wir-openscore-liedercorpus-schumann-frauenliebe-und-leben-op-42-3-ich-kanns-nicht-fassen', 'wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber', 'wirwtc-bach-wtc-i-3', 'wirwtc-bach-wtc-i-18']\n"
      ]
     }
    ],
diff --git a/notebooks/VisualizingFilters.ipynb b/notebooks/VisualizingFilters.ipynb
index 82dec71b..78390793 100644
--- a/notebooks/VisualizingFilters.ipynb
+++ b/notebooks/VisualizingFilters.ipynb
@@ -45,7 +45,7 @@
     "# modelPath = \".model_checkpoint/validationset/bps-augmentednet-rmsproplr01-210526T143649/94-4.336-0.7938.hdf5\" # best accuracy\n",
     "# modelPath = \".model_checkpoint/prototyping/dropout-210528T215602/82-4.383-0.7917.hdf5\" # with dropout\n",
     "# modelPath = \".model_checkpoint/validationset/rmsprop-lr0001-200epochs-210529T090623/171-4.237-0.7809.hdf5\" # low learning rate, 200 epochs\n",
-    "# modelPath = \".model_checkpoint/testset/haydnop20-augmentednet-alldata-210513T195252/23-3.821-0.8027.hdf5\" # all data, evaluated on haydn\n",
+    "# modelPath = \".model_checkpoint/testset/haydnsun-augmentednet-alldata-210513T195252/23-3.821-0.8027.hdf5\" # all data, evaluated on haydn\n",
     "# modelPath = \".model_checkpoint/validationset/rmsprop-learningschedule-piecewise-210530T101943/55-4.175-0.7928.hdf5\" # piecewise learning schedule\n",
     "# modelPath = \".model_checkpoint/validationset/rmsprop-learningschedule-piecewise-stair-210530T170008/44-4.311-0.7949.hdf5\" # piecewise stair\n",
     "# modelPath = \".model_checkpoint/validationset/wirwtc-rotatinglrschedule-210530T215055/55-5.002-0.7453.hdf5\" # wirwtc rotating lr\n",
diff --git a/notebooks/thesis/Ch5-DurationDistribution.ipynb b/notebooks/thesis/Ch5-DurationDistribution.ipynb
index 2c520e78..a1c2f23b 100644
--- a/notebooks/thesis/Ch5-DurationDistribution.ipynb
+++ b/notebooks/thesis/Ch5-DurationDistribution.ipynb
@@ -134,22 +134,22 @@
       "dataset/training/bps-30-op109-1.tsv\n",
       "dataset/training/bps-31-op110-1.tsv\n",
       "dataset/training/bps-32-op111-1.tsv\n",
-      "dataset/training/haydnop20-no6-3.tsv\n",
-      "dataset/training/haydnop20-no1-1.tsv\n",
-      "dataset/training/haydnop20-no4-1.tsv\n",
-      "dataset/training/haydnop20-no4-3.tsv\n",
-      "dataset/training/haydnop20-no1-3.tsv\n",
-      "dataset/training/haydnop20-no6-2.tsv\n",
-      "dataset/training/haydnop20-no3-1.tsv\n",
-      "dataset/training/haydnop20-no5-1.tsv\n",
-      "dataset/training/haydnop20-no1-4.tsv\n",
-      "dataset/training/haydnop20-no2-3.tsv\n",
-      "dataset/training/haydnop20-no5-4.tsv\n",
-      "dataset/training/haydnop20-no3-2.tsv\n",
-      "dataset/training/haydnop20-no4-4.tsv\n",
-      "dataset/training/haydnop20-no2-1.tsv\n",
-      "dataset/training/haydnop20-no4-2.tsv\n",
-      "dataset/training/haydnop20-no6-1.tsv\n",
+      "dataset/training/haydnsun-no6-3.tsv\n",
+      "dataset/training/haydnsun-no1-1.tsv\n",
+      "dataset/training/haydnsun-no4-1.tsv\n",
+      "dataset/training/haydnsunno4-3.tsv\n",
+      "dataset/training/haydnsun-no1-3.tsv\n",
+      "dataset/training/haydnsun-no6-2.tsv\n",
+      "dataset/training/haydnsun-no3-1.tsv\n",
+      "dataset/training/haydnsun-no5-1.tsv\n",
+      "dataset/training/haydnsun-no1-4.tsv\n",
+      "dataset/training/haydnsun-no2-3.tsv\n",
+      "dataset/training/haydnsun-no5-4.tsv\n",
+      "dataset/training/haydnsun-no3-2.tsv\n",
+      "dataset/training/haydnsun-no4-4.tsv\n",
+      "dataset/training/haydnsun-no2-1.tsv\n",
+      "dataset/training/haydnsun-no4-2.tsv\n",
+      "dataset/training/haydnsun-no6-1.tsv\n",
       "dataset/training/mps-k279-2.tsv\n",
       "dataset/training/mps-k280-1.tsv\n",
       "dataset/training/mps-k280-2.tsv\n",
diff --git a/test/auxiliary_files/dataset_tsv_generator/dataset_gt.tsv b/test/auxiliary_files/dataset_tsv_generator/dataset_gt.tsv
index b7939e8c..ba491f95 100644
--- a/test/auxiliary_files/dataset_tsv_generator/dataset_gt.tsv
+++ b/test/auxiliary_files/dataset_tsv_generator/dataset_gt.tsv
@@ -30,10 +30,10 @@
 28	tavern-beethoven-woo-78-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_78/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B078.mxl	tavern	test	0.0	0.16	0.44
 29	tavern-beethoven-woo-70-a	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_70/analysis_A.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B070.mxl	tavern	test	0.0	0.1	0.43
 30	tavern-beethoven-woo-70-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_70/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B070.mxl	tavern	test	0.0	0.11	0.42
-31	haydnop20-no2-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/2/analysis.txt	rawdata/haydn_op20_harm/op20/2/ii/op20n2-02.krn	haydnop20	test	0.0	0.1	0.43
-32	haydnop20-no3-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/4/analysis.txt	rawdata/haydn_op20_harm/op20/3/iv/op20n3-04.krn	haydnop20	test	0.0	0.08	0.43
-33	haydnop20-no5-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/3/analysis.txt	rawdata/haydn_op20_harm/op20/5/iii/op20n5-03.krn	haydnop20	test	0.0	0.04	0.12
-34	haydnop20-no6-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/4/analysis.txt	rawdata/haydn_op20_harm/op20/6/iv/op20n6-04.krn	haydnop20	test	0.0	0.18	0.32
+31	haydnsun-no2-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/2/analysis.txt	rawdata/haydn_op20_harm/op20/2/ii/op20n2-02.krn	haydnsun	test	0.0	0.1	0.43
+32	haydnsun-no3-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/4/analysis.txt	rawdata/haydn_op20_harm/op20/3/iv/op20n3-04.krn	haydnsun	test	0.0	0.08	0.43
+33	haydnsun-no5-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/3/analysis.txt	rawdata/haydn_op20_harm/op20/5/iii/op20n5-03.krn	haydnsun	test	0.0	0.04	0.12
+34	haydnsun-no6-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/4/analysis.txt	rawdata/haydn_op20_harm/op20/6/iv/op20n6-04.krn	haydnsun	test	0.0	0.18	0.32
 35	wir-openscore-liedercorpus-schubert-die-schone-mullerin-d-795-12-pause	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Die_schöne_Müllerin,_D.795/12_Pause/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Die_schöne_Müllerin,_D.795/12_Pause/score.mxl	wir	test	0.0	0.02	0.09
 36	wir-openscore-liedercorpus-schubert-schwanengesang-d-957-08-der-atlas	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Schwanengesang,_D.957/08_Der_Atlas/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Schwanengesang,_D.957/08_Der_Atlas/score.mxl	wir	test	0.04	0.05	0.32
 37	wir-openscore-liedercorpus-wolf-eichendorff-lieder-14-der-verzweifelte-liebhaber	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Wolf,_Hugo/Eichendorff-Lieder/14_Der_verzweifelte_Liebhaber/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Wolf,_Hugo/Eichendorff-Lieder/14_Der_verzweifelte_Liebhaber/score.mxl	wir	test	0.0	0.03	0.27
@@ -86,10 +86,10 @@
 84	tavern-mozart-k455-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Mozart,_Wolfgang_Amadeus/_/K455/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Mozart/scores/K455.mxl	tavern	validation	0.0	0.19	0.3
 85	tavern-beethoven-woo-80-a	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_80/analysis_A.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B080.mxl	tavern	validation	0.0	0.16	0.52
 86	tavern-beethoven-woo-80-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_80/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B080.mxl	tavern	validation	0.0	0.17	0.52
-87	haydnop20-no1-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/2/analysis.txt	rawdata/haydn_op20_harm/op20/1/ii/op20n1-02.krn	haydnop20	validation	0.02	0.17	0.23
-88	haydnop20-no2-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/4/analysis.txt	rawdata/haydn_op20_harm/op20/2/iv/op20n2-04.krn	haydnop20	validation	0.0	0.44	0.43
-89	haydnop20-no3-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/3/analysis.txt	rawdata/haydn_op20_harm/op20/3/iii/op20n3-03.krn	haydnop20	validation	0.0	0.05	0.33
-90	haydnop20-no5-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/2/analysis.txt	rawdata/haydn_op20_harm/op20/5/ii/op20n5-02.krn	haydnop20	validation	0.0	0.12	0.24
+87	haydnsun-no1-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/2/analysis.txt	rawdata/haydn_op20_harm/op20/1/ii/op20n1-02.krn	haydnsun	validation	0.02	0.17	0.23
+88	haydnsun-no2-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/4/analysis.txt	rawdata/haydn_op20_harm/op20/2/iv/op20n2-04.krn	haydnsun	validation	0.0	0.44	0.43
+89	haydnsun-no3-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/3/analysis.txt	rawdata/haydn_op20_harm/op20/3/iii/op20n3-03.krn	haydnsun	validation	0.0	0.05	0.33
+90	haydnsun-no5-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/2/analysis.txt	rawdata/haydn_op20_harm/op20/5/ii/op20n5-02.krn	haydnsun	validation	0.0	0.12	0.24
 91	wir-openscore-liedercorpus-schumann-dichterliebe-op-48-13-ich-hab-im-traum-geweinet	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schumann,_Robert/Dichterliebe,_Op.48/13_Ich_hab’_im_Traum_geweinet/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schumann,_Robert/Dichterliebe,_Op.48/13_Ich_hab’_im_Traum_geweinet/score.mxl	wir	validation	0.0	0.27	0.25
 92	wir-openscore-liedercorpus-hensel-6-lieder-op-9-5-der-maiabend	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Hensel,_Fanny_(Mendelssohn)/6_Lieder,_Op.9/5_Der_Maiabend/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Hensel,_Fanny_(Mendelssohn)/6_Lieder,_Op.9/5_Der_Maiabend/score.mxl	wir	validation	0.0	0.03	0.13
 93	wir-openscore-liedercorpus-brahms-6-songs-op-3-3-liebe-und-fruhling-ii	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Brahms,_Johannes/6_Songs,_Op.3/3_Liebe_und_Frühling_II/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Brahms,_Johannes/6_Songs,_Op.3/3_Liebe_und_Frühling_II/score.mxl	wir	validation	0.0	0.13	0.18
@@ -229,22 +229,22 @@
 227	tavern-mozart-k354-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Mozart,_Wolfgang_Amadeus/_/K354/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Mozart/scores/K354.mxl	tavern	training	0.0	0.09	0.29
 228	tavern-beethoven-woo-71-a	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_71/analysis_A.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B071.mxl	tavern	training	0.0	0.19	0.37
 229	tavern-beethoven-woo-71-b	rawdata/When-in-Rome/Corpus/Variations_and_Grounds/Beethoven,_Ludwig_van/_/WoO_71/analysis_B.txt	rawdata/functional-harmony-micchi/data/Tavern/Beethoven/scores/B071.mxl	tavern	training	0.0	0.17	0.35
-230	haydnop20-no6-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/3/analysis.txt	rawdata/haydn_op20_harm/op20/6/iii/op20n6-03.krn	haydnop20	training	0.0	0.13	0.29
-231	haydnop20-no1-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/1/analysis.txt	rawdata/haydn_op20_harm/op20/1/i/op20n1-01.krn	haydnop20	training	0.0	0.16	0.46
-232	haydnop20-no4-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/1/analysis.txt	rawdata/haydn_op20_harm/op20/4/i/op20n4-01.krn	haydnop20	training	0.01	0.18	0.26
-233	haydnop20-no4-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/3/analysis.txt	rawdata/haydn_op20_harm/op20/4/iii/op20n4-03.krn	haydnop20	training	0.0	0.1	0.25
-234	haydnop20-no1-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/3/analysis.txt	rawdata/haydn_op20_harm/op20/1/iii/op20n1-03.krn	haydnop20	training	0.0	0.12	0.26
-235	haydnop20-no6-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/2/analysis.txt	rawdata/haydn_op20_harm/op20/6/ii/op20n6-02.krn	haydnop20	training	0.0	0.11	0.23
-236	haydnop20-no3-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/1/analysis.txt	rawdata/haydn_op20_harm/op20/3/i/op20n3-01.krn	haydnop20	training	0.0	0.25	0.28
-237	haydnop20-no5-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/1/analysis.txt	rawdata/haydn_op20_harm/op20/5/i/op20n5-01.krn	haydnop20	training	0.0	0.11	0.52
-238	haydnop20-no1-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/4/analysis.txt	rawdata/haydn_op20_harm/op20/1/iv/op20n1-04.krn	haydnop20	training	0.0	0.16	0.33
-239	haydnop20-no2-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/3/analysis.txt	rawdata/haydn_op20_harm/op20/2/iii/op20n2-03.krn	haydnop20	training	0.02	0.41	0.39
-240	haydnop20-no5-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/4/analysis.txt	rawdata/haydn_op20_harm/op20/5/iv/op20n5-04.krn	haydnop20	training	0.0	0.11	0.29
-241	haydnop20-no3-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/2/analysis.txt	rawdata/haydn_op20_harm/op20/3/ii/op20n3-02.krn	haydnop20	training	0.01	0.23	0.24
-242	haydnop20-no4-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/4/analysis.txt	rawdata/haydn_op20_harm/op20/4/iv/op20n4-04.krn	haydnop20	training	0.0	0.13	0.34
-243	haydnop20-no2-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/1/analysis.txt	rawdata/haydn_op20_harm/op20/2/i/op20n2-01.krn	haydnop20	training	0.0	0.35	0.44
-244	haydnop20-no4-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/2/analysis.txt	rawdata/haydn_op20_harm/op20/4/ii/op20n4-02.krn	haydnop20	training	0.02	0.1	0.29
-245	haydnop20-no6-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/1/analysis.txt	rawdata/haydn_op20_harm/op20/6/i/op20n6-01.krn	haydnop20	training	0.0	1.04	0.65
+230	haydnsun-no6-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/3/analysis.txt	rawdata/haydn_op20_harm/op20/6/iii/op20n6-03.krn	haydnsun	training	0.0	0.13	0.29
+231	haydnsun-no1-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/1/analysis.txt	rawdata/haydn_op20_harm/op20/1/i/op20n1-01.krn	haydnsun	training	0.0	0.16	0.46
+232	haydnsun-no4-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/1/analysis.txt	rawdata/haydn_op20_harm/op20/4/i/op20n4-01.krn	haydnsun	training	0.01	0.18	0.26
+233	haydnsun-no4-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/3/analysis.txt	rawdata/haydn_op20_harm/op20/4/iii/op20n4-03.krn	haydnsun	training	0.0	0.1	0.25
+234	haydnsun-no1-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/3/analysis.txt	rawdata/haydn_op20_harm/op20/1/iii/op20n1-03.krn	haydnsun	training	0.0	0.12	0.26
+235	haydnsun-no6-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/2/analysis.txt	rawdata/haydn_op20_harm/op20/6/ii/op20n6-02.krn	haydnsun	training	0.0	0.11	0.23
+236	haydnsun-no3-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/1/analysis.txt	rawdata/haydn_op20_harm/op20/3/i/op20n3-01.krn	haydnsun	training	0.0	0.25	0.28
+237	haydnsun-no5-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/1/analysis.txt	rawdata/haydn_op20_harm/op20/5/i/op20n5-01.krn	haydnsun	training	0.0	0.11	0.52
+238	haydnsun-no1-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No1/4/analysis.txt	rawdata/haydn_op20_harm/op20/1/iv/op20n1-04.krn	haydnsun	training	0.0	0.16	0.33
+239	haydnsun-no2-3	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/3/analysis.txt	rawdata/haydn_op20_harm/op20/2/iii/op20n2-03.krn	haydnsun	training	0.02	0.41	0.39
+240	haydnsun-no5-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No5/4/analysis.txt	rawdata/haydn_op20_harm/op20/5/iv/op20n5-04.krn	haydnsun	training	0.0	0.11	0.29
+241	haydnsun-no3-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No3/2/analysis.txt	rawdata/haydn_op20_harm/op20/3/ii/op20n3-02.krn	haydnsun	training	0.01	0.23	0.24
+242	haydnsun-no4-4	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/4/analysis.txt	rawdata/haydn_op20_harm/op20/4/iv/op20n4-04.krn	haydnsun	training	0.0	0.13	0.34
+243	haydnsun-no2-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No2/1/analysis.txt	rawdata/haydn_op20_harm/op20/2/i/op20n2-01.krn	haydnsun	training	0.0	0.35	0.44
+244	haydnsun-no4-2	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No4/2/analysis.txt	rawdata/haydn_op20_harm/op20/4/ii/op20n4-02.krn	haydnsun	training	0.02	0.1	0.29
+245	haydnsun-no6-1	rawdata/When-in-Rome/Corpus/Quartets/Haydn,_Franz_Joseph/Op20_No6/1/analysis.txt	rawdata/haydn_op20_harm/op20/6/i/op20n6-01.krn	haydnsun	training	0.0	1.04	0.65
 246	wir-openscore-liedercorpus-schubert-winterreise-d-911-07-auf-dem-flusse	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Winterreise,_D.911/07_Auf_dem_Flusse/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Winterreise,_D.911/07_Auf_dem_Flusse/score.mxl	wir	training	0.05	0.02	0.29
 247	wir-openscore-liedercorpus-schubert-winterreise-d-911-12-einsamkeit-urspruengliche-fassung	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Winterreise,_D.911/12_Einsamkeit_(Urspruengliche_Fassung)/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Winterreise,_D.911/12_Einsamkeit_(Urspruengliche_Fassung)/score.mxl	wir	training	0.04	0.05	0.34
 248	wir-openscore-liedercorpus-schubert-schwanengesang-d-957-12-am-meer	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Schwanengesang,_D.957/12_Am_Meer/analysis.txt	rawdata/When-in-Rome/Corpus/OpenScore-LiederCorpus/Schubert,_Franz/Schwanengesang,_D.957/12_Am_Meer/score.mxl	wir	training	0.0	0.03	0.14
diff --git a/test/auxiliary_files/dataset_tsv_generator/hashes.json b/test/auxiliary_files/dataset_tsv_generator/hashes.json
index 1cf45f7b..0a83db96 100644
--- a/test/auxiliary_files/dataset_tsv_generator/hashes.json
+++ b/test/auxiliary_files/dataset_tsv_generator/hashes.json
@@ -407,99 +407,99 @@
         "7adf65c5045650537d253fc11bb2266d1a87b0b0f3cfeeecaaa3405ca2e9cea8",
         "7ea164addd7002df8efb18e01d5a76f0fd3c760a2daa419d566c728dbdee21a8"
     ],
-    "haydnop20-no1-1": [
+    "haydnsun-no1-1": [
         "7aa1d448f9cbbecae0c93264de8372e50c6ca598d08a306fef97e496d62b7388",
         "93a60038d92b9b647af7301689726ed6d1178ba98471eb6a88f6c3a0ca674cff"
     ],
-    "haydnop20-no1-2": [
+    "haydnsun-no1-2": [
         "b65e51cae1b3e7e121f32868fb015275fe67257d96586384e2dfa1e9f4c5ed31",
         "aa8c53110d6a4b9f875f0f436a0d8dc647805402645acfe181c2134cd201c834"
     ],
-    "haydnop20-no1-3": [
+    "haydnsun-no1-3": [
         "feed6b60127773e0210c4737a86770a828ad072460ed27e16008bea8e10f6cc3",
         "5d6832019f68054eeff1025223ccb1a497cef4e18206fef4ad2c00459db0455a"
     ],
-    "haydnop20-no1-4": [
+    "haydnsun-no1-4": [
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         "ffd534d4747d77253b6940305d93950c57f72c4d955c890727b671e37097e4d6"
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-    "haydnop20-no2-1": [
+    "haydnsun-no2-1": [
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         "11c7bc9e24724037ec7e26df686769804d463cb89814cc46e8d689d29482a0a3"
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-    "haydnop20-no2-2": [
+    "haydnsun-no2-2": [
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-    "haydnop20-no2-3": [
+    "haydnsun-no2-3": [
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-    "haydnop20-no2-4": [
+    "haydnsun-no2-4": [
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-    "haydnop20-no3-1": [
+    "haydnsun-no3-1": [
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         "47c16ba808b78330f96327ff4ea058c44011772e8608dfad240a40028cfa174b"
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-    "haydnop20-no3-2": [
+    "haydnsun-no3-2": [
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         "2934d7cc93f658fdfd4d6770f6023e9ce46b84bd8f218afd6678c1406a0d3740"
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-    "haydnop20-no3-3": [
+    "haydnsun-no3-3": [
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-    "haydnop20-no3-4": [
+    "haydnsun-no3-4": [
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         "2006d6d15d6e3d210ee206b12f8204ae36dda7278123586583e6101150ec01c8"
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-    "haydnop20-no4-1": [
+    "haydnsun-no4-1": [
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