From 33845896be887ed2e41fd68b0f3aadde23c63b1d Mon Sep 17 00:00:00 2001
From: Angelos Chatzimparmpas <angelos.chatzimparmpas@gmail.com>
Date: Tue, 19 Nov 2019 08:56:29 +0100
Subject: [PATCH] joblib

---
 __pycache__/tsneGrid.cpython-37.pyc           | Bin 9951 -> 10365 bytes
 .../metadata.json                             |   1 +
 .../output.pkl                                | Bin 0 -> 1224849 bytes
 .../metadata.json                             |   1 +
 .../output.pkl                                | Bin 0 -> 6169349 bytes
 .../tsneGrid/wrapGetResults/func_code.py      |   5 +++
 css/style.css                                 |   6 +--
 css/w3.css                                    |   2 +-
 js/tsne_vis.js                                |   2 +-
 tsneGrid.py                                   |  41 ++++++++++++++----
 10 files changed, 44 insertions(+), 14 deletions(-)
 create mode 100644 cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/metadata.json
 create mode 100644 cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/output.pkl
 create mode 100644 cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/metadata.json
 create mode 100644 cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/output.pkl
 create mode 100644 cachedir/joblib/tsneGrid/wrapGetResults/func_code.py

diff --git a/__pycache__/tsneGrid.cpython-37.pyc b/__pycache__/tsneGrid.cpython-37.pyc
index 483d44105223259ca1952484f915566a90824728..f9d8666c3832f56d625f97a35b95603e9a35c22b 100644
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diff --git a/cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/metadata.json b/cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/metadata.json
new file mode 100644
index 0000000..417b1b6
--- /dev/null
+++ b/cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/metadata.json
@@ -0,0 +1 @@
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1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 10, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 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1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n    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3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n    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3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 10, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 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1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n    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3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 10, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n    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2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 10, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 10, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n    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2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n    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2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n      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, 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n    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3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 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1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n    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3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 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0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n    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3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n    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3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n    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2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 20, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n    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3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 30, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 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1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n    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2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 30, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n    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2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 30, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n    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2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 30, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n    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3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n    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3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 30, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 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1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n    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2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 40, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 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2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 40, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 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3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 40, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 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2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n    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1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n    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3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 40, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 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2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 40, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 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3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 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1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 50, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 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2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 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   [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 50, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n      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3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n    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(array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       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4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n    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3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n    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3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 50, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 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1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n    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3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 60, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n    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2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 60, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n    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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 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2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 60, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 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3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 60, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 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1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 60, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 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2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 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1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 70, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 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2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 70, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 70, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n    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3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 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2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 80, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 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1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 90, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 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1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n    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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 90, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 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1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n    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3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 90, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 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2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 90, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n      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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n    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3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n    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, 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 100, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 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3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 100, -1, True, False, 100), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n    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3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n    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3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 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2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 10, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       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1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n    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3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 20, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 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2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 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2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n    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3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 40, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 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1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 60, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 60, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n      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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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 [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 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3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 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1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n    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3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 80, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 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1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n    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2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 80, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n    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1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 90, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 90, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 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1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 100, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 100, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n    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2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 100, -1, True, False, 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3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 100, -1, True, False, 150), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 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1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n    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1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 10, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 10, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n      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3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n    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3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 10, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 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1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 20, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 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],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       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2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 20, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 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2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 30, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 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3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 30, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n    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2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 30, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 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2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n    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2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 30, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 40, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 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3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n    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3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 50, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n    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2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 50, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n    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3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n    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1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 60, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 60, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 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3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 60, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 60, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n    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2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 80, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 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1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 90, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 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2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n    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3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 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2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 100, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 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2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 100, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n    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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 100, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n    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1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 100, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 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1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n    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1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n    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3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 100, -1, True, False, 200), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 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0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n    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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n    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2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 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1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 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3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n    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2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 10, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 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1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 20, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 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1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n    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3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n    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[5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n    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 [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 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2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n    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2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 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1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 40, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 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2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 40, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 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3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 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1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 50, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 50, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 50, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. 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1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n    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3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 50, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 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2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 60, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. 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1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 60, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n    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3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 60, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n    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1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 60, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 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3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 60, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 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2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 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3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n    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2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 70, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n    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3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 70, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n    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2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 70, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 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1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n    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3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n    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2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 80, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 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2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 80, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 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2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n    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1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n    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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 90, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n    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2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 90, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n    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1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n    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2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 90, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 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3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 100, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 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2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 100, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n    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3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 100, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n     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, 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 100, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n    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2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 100, -1, True, False, 250), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 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1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 10, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 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2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n    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3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 10, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n    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2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 10, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 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1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 10, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 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3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 10, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 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2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n    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2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 20, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n    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2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 20, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n    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1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n    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3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 20, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 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2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 30, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 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3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n    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3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 30, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 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1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n    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2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 30, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 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0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n    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2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 30, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 40, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n    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2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 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3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 40, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 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2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 40, -1, True, False, 350), (array([[5.1, 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3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 40, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 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2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 10, 50, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n    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3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 50, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n      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, 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 50, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n    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3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n    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3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 50, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 50, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n    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2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n    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2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n    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3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n    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3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 60, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n    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2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 60, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n    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2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n    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2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 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1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n    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3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 80, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 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1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n    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2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 40, 80, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 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0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n    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2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 45, 80, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 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2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 5, 90, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 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2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n    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2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 15, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 20, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n       [5.5, 4.2, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5. , 3.2, 1.2, 0.2],\n       [5.5, 3.5, 1.3, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [4.4, 3. , 1.3, 0.2],\n       [5.1, 3.4, 1.5, 0.2],\n       [5. , 3.5, 1.3, 0.3],\n       [4.5, 2.3, 1.3, 0.3],\n       [4.4, 3.2, 1.3, 0.2],\n       [5. , 3.5, 1.6, 0.6],\n       [5.1, 3.8, 1.9, 0.4],\n       [4.8, 3. , 1.4, 0.3],\n       [5.1, 3.8, 1.6, 0.2],\n       [4.6, 3.2, 1.4, 0.2],\n       [5.3, 3.7, 1.5, 0.2],\n       [5. , 3.3, 1.4, 0.2],\n       [7. , 3.2, 4.7, 1.4],\n       [6.4, 3.2, 4.5, 1.5],\n       [6.9, 3.1, 4.9, 1.5],\n       [5.5, 2.3, 4. , 1.3],\n       [6.5, 2.8, 4.6, 1.5],\n       [5.7, 2.8, 4.5, 1.3],\n       [6.3, 3.3, 4.7, 1.6],\n       [4.9, 2.4, 3.3, 1. ],\n       [6.6, 2.9, 4.6, 1.3],\n       [5.2, 2.7, 3.9, 1.4],\n       [5. , 2. , 3.5, 1. ],\n       [5.9, 3. , 4.2, 1.5],\n       [6. , 2.2, 4. , 1. ],\n       [6.1, 2.9, 4.7, 1.4],\n       [5.6, 2.9, 3.6, 1.3],\n       [6.7, 3.1, 4.4, 1.4],\n       [5.6, 3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n    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3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 25, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 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3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 28, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 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2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 32, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 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3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n       [6.3, 2.8, 5.1, 1.5],\n       [6.1, 2.6, 5.6, 1.4],\n       [7.7, 3. , 6.1, 2.3],\n       [6.3, 3.4, 5.6, 2.4],\n       [6.4, 3.1, 5.5, 1.8],\n       [6. , 3. , 4.8, 1.8],\n       [6.9, 3.1, 5.4, 2.1],\n       [6.7, 3.1, 5.6, 2.4],\n       [6.9, 3.1, 5.1, 2.3],\n       [5.8, 2.7, 5.1, 1.9],\n       [6.8, 3.2, 5.9, 2.3],\n       [6.7, 3.3, 5.7, 2.5],\n       [6.7, 3. , 5.2, 2.3],\n       [6.3, 2.5, 5. , 1.9],\n       [6.5, 3. , 5.2, 2. ],\n       [6.2, 3.4, 5.4, 2.3],\n       [5.9, 3. , 5.1, 1.8]]), 2, 4, 35, 100, -1, True, False, 350), (array([[5.1, 3.5, 1.4, 0.2],\n       [4.9, 3. , 1.4, 0.2],\n       [4.7, 3.2, 1.3, 0.2],\n       [4.6, 3.1, 1.5, 0.2],\n       [5. , 3.6, 1.4, 0.2],\n       [5.4, 3.9, 1.7, 0.4],\n       [4.6, 3.4, 1.4, 0.3],\n       [5. , 3.4, 1.5, 0.2],\n       [4.4, 2.9, 1.4, 0.2],\n       [4.9, 3.1, 1.5, 0.1],\n       [5.4, 3.7, 1.5, 0.2],\n       [4.8, 3.4, 1.6, 0.2],\n       [4.8, 3. , 1.4, 0.1],\n       [4.3, 3. , 1.1, 0.1],\n       [5.8, 4. , 1.2, 0.2],\n       [5.7, 4.4, 1.5, 0.4],\n       [5.4, 3.9, 1.3, 0.4],\n       [5.1, 3.5, 1.4, 0.3],\n       [5.7, 3.8, 1.7, 0.3],\n       [5.1, 3.8, 1.5, 0.3],\n       [5.4, 3.4, 1.7, 0.2],\n       [5.1, 3.7, 1.5, 0.4],\n       [4.6, 3.6, 1. , 0.2],\n       [5.1, 3.3, 1.7, 0.5],\n       [4.8, 3.4, 1.9, 0.2],\n       [5. , 3. , 1.6, 0.2],\n       [5. , 3.4, 1.6, 0.4],\n       [5.2, 3.5, 1.5, 0.2],\n       [5.2, 3.4, 1.4, 0.2],\n       [4.7, 3.2, 1.6, 0.2],\n       [4.8, 3.1, 1.6, 0.2],\n       [5.4, 3.4, 1.5, 0.4],\n       [5.2, 4.1, 1.5, 0.1],\n    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3. , 4.5, 1.5],\n       [5.8, 2.7, 4.1, 1. ],\n       [6.2, 2.2, 4.5, 1.5],\n       [5.6, 2.5, 3.9, 1.1],\n       [5.9, 3.2, 4.8, 1.8],\n       [6.1, 2.8, 4. , 1.3],\n       [6.3, 2.5, 4.9, 1.5],\n       [6.1, 2.8, 4.7, 1.2],\n       [6.4, 2.9, 4.3, 1.3],\n       [6.6, 3. , 4.4, 1.4],\n       [6.8, 2.8, 4.8, 1.4],\n       [6.7, 3. , 5. , 1.7],\n       [6. , 2.9, 4.5, 1.5],\n       [5.7, 2.6, 3.5, 1. ],\n       [5.5, 2.4, 3.8, 1.1],\n       [5.5, 2.4, 3.7, 1. ],\n       [5.8, 2.7, 3.9, 1.2],\n       [6. , 2.7, 5.1, 1.6],\n       [5.4, 3. , 4.5, 1.5],\n       [6. , 3.4, 4.5, 1.6],\n       [6.7, 3.1, 4.7, 1.5],\n       [6.3, 2.3, 4.4, 1.3],\n       [5.6, 3. , 4.1, 1.3],\n       [5.5, 2.5, 4. , 1.3],\n       [5.5, 2.6, 4.4, 1.2],\n       [6.1, 3. , 4.6, 1.4],\n       [5.8, 2.6, 4. , 1.2],\n       [5. , 2.3, 3.3, 1. ],\n       [5.6, 2.7, 4.2, 1.3],\n       [5.7, 3. , 4.2, 1.2],\n       [5.7, 2.9, 4.2, 1.3],\n       [6.2, 2.9, 4.3, 1.3],\n       [5.1, 2.5, 3. , 1.1],\n       [5.7, 2.8, 4.1, 1.3],\n       [6.3, 3.3, 6. , 2.5],\n       [5.8, 2.7, 5.1, 1.9],\n       [7.1, 3. , 5.9, 2.1],\n       [6.3, 2.9, 5.6, 1.8],\n       [6.5, 3. , 5.8, 2.2],\n       [7.6, 3. , 6.6, 2.1],\n       [4.9, 2.5, 4.5, 1.7],\n       [7.3, 2.9, 6.3, 1.8],\n       [6.7, 2.5, 5.8, 1.8],\n       [7.2, 3.6, 6.1, 2.5],\n       [6.5, 3.2, 5.1, 2. ],\n       [6.4, 2.7, 5.3, 1.9],\n       [6.8, 3. , 5.5, 2.1],\n       [5.7, 2.5, 5. , 2. ],\n       [5.8, 2.8, 5.1, 2.4],\n       [6.4, 3.2, 5.3, 2.3],\n       [6.5, 3. , 5.5, 1.8],\n       [7.7, 3.8, 6.7, 2.2],\n       [7.7, 2.6, 6.9, 2.3],\n       [6. , 2.2, 5. , 1.5],\n       [6.9, 3.2, 5.7, 2.3],\n       [5.6, 2.8, 4.9, 2. ],\n       [7.7, 2.8, 6.7, 2. ],\n       [6.3, 2.7, 4.9, 1.8],\n       [6.7, 3.3, 5.7, 2.1],\n       [7.2, 3.2, 6. , 1.8],\n       [6.2, 2.8, 4.8, 1.8],\n       [6.1, 3. , 4.9, 1.8],\n       [6.4, 2.8, 5.6, 2.1],\n       [7.2, 3. , 5.8, 1.6],\n       [7.4, 2.8, 6.1, 1.9],\n       [7.9, 3.8, 6.4, 2. ],\n       [6.4, 2.8, 5.6, 2.2],\n    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diff --git a/cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/output.pkl b/cachedir/joblib/tsneGrid/wrapGetResults/0159e56a20dd841c1a46e0a4adec1857/output.pkl
new file mode 100644
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diff --git a/cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/metadata.json b/cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/metadata.json
new file mode 100644
index 0000000..e75f1e1
--- /dev/null
+++ b/cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/metadata.json
@@ -0,0 +1 @@
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(array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 20, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 20, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 20, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 30, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 40, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 50, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 60, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 70, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 80, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 90, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 100, -1, True, False, 100), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 10, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 20, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 30, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 40, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 50, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 60, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 70, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 80, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 90, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 100, -1, True, False, 150), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 10, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 20, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 30, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 40, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 50, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 60, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 70, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 80, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 90, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 100, -1, True, False, 200), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 10, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 20, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 30, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 40, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 50, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 60, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 70, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 80, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 90, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 100, -1, True, False, 250), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 10, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 20, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 30, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 40, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 50, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 60, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 70, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 80, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 45, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 50, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 55, 90, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 10, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 15, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 20, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 25, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 30, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 35, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   ],\n       [  1.   , 126.   ,  60.   , ...,  30.1  ,   0.349,  47.   ],\n       [  1.   ,  93.   ,  70.   , ...,  30.4  ,   0.315,  23.   ]]), 2, 8, 40, 100, -1, True, False, 350), (array([[  6.   , 148.   ,  72.   , ...,  33.6  ,   0.627,  50.   ],\n       [  1.   ,  85.   ,  66.   , ...,  26.6  ,   0.351,  31.   ],\n       [  8.   , 183.   ,  64.   , ...,  23.3  ,   0.672,  32.   ],\n       ...,\n       [  5.   , 121.   ,  72.   , ...,  26.2  ,   0.245,  30.   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\ No newline at end of file
diff --git a/cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/output.pkl b/cachedir/joblib/tsneGrid/wrapGetResults/64ff4533f4d63a2f09e20b91dcce737c/output.pkl
new file mode 100644
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HcmV?d00001

diff --git a/cachedir/joblib/tsneGrid/wrapGetResults/func_code.py b/cachedir/joblib/tsneGrid/wrapGetResults/func_code.py
new file mode 100644
index 0000000..98c88f6
--- /dev/null
+++ b/cachedir/joblib/tsneGrid/wrapGetResults/func_code.py
@@ -0,0 +1,5 @@
+# first line: 198
+def wrapGetResults(listofParamsPlusData):
+    pool = Pool()
+    
+    return pool.map(multi_run_wrapper, listofParamsPlusData)
diff --git a/css/style.css b/css/style.css
index 7b8beab..7e973ee 100755
--- a/css/style.css
+++ b/css/style.css
@@ -508,11 +508,11 @@ ul {
   border: 16px solid #f3f3f3;
   border-radius: 50%;
   border-top: 16px solid #3498db;
-  width: 120px;
-  height: 120px;
+  width: 140px;
+  height: 140px;
   -webkit-animation: spin 2s linear infinite; /* Safari */
   animation: spin 2s linear infinite;
-  margin-left: 375px;
+  margin-left: 1025px;
   margin-top: 500px;
   margin-bottom: 500px;
 }
diff --git a/css/w3.css b/css/w3.css
index 26837ef..181280e 100755
--- a/css/w3.css
+++ b/css/w3.css
@@ -89,7 +89,7 @@ hr{border:0;border-top:1px solid #eee;margin:20px 0}
 .w3-hide-small{display:none!important}.w3-mobile{display:block;width:100%!important}.w3-bar-item.w3-mobile,.w3-dropdown-hover.w3-mobile,.w3-dropdown-click.w3-mobile{text-align:center}
 .w3-dropdown-hover.w3-mobile,.w3-dropdown-hover.w3-mobile .w3-btn,.w3-dropdown-hover.w3-mobile .w3-button,.w3-dropdown-click.w3-mobile,.w3-dropdown-click.w3-mobile .w3-btn,.w3-dropdown-click.w3-mobile .w3-button{width:100%}}
 @media (max-width:768px){.w3-modal-content{width:500px}.w3-modal{padding-top:50px}}
-@media (min-width:993px){.w3-modal-content{width:900px}.w3-hide-large{display:none!important}.w3-sidebar.w3-collapse{display:block!important}}
+@media (min-width:993px){.w3-modal-content{width:2200px}.w3-hide-large{display:none!important}.w3-sidebar.w3-collapse{display:block!important}}
 @media (max-width:992px) and (min-width:601px){.w3-hide-medium{display:none!important}}
 @media (max-width:992px){.w3-sidebar.w3-collapse{display:none}.w3-main{margin-left:0!important;margin-right:0!important}.w3-auto{max-width:100%}}
 .w3-top,.w3-bottom{position:fixed;width:100%;z-index:1}.w3-top{top:0}.w3-bottom{bottom:0}
diff --git a/js/tsne_vis.js b/js/tsne_vis.js
index ec5b191..de0ab19 100755
--- a/js/tsne_vis.js
+++ b/js/tsne_vis.js
@@ -1028,7 +1028,7 @@ if (optionMetric == 1) {
 
 }
 
-  var width = 900 // interactive visualization
+  var width = 2200 // interactive visualization
   var height = 1150 // interactive visualization
   document.getElementById("confirmModal").disabled = true;
 
diff --git a/tsneGrid.py b/tsneGrid.py
index 2640d12..15c8ec4 100644
--- a/tsneGrid.py
+++ b/tsneGrid.py
@@ -16,6 +16,8 @@ from sklearn.model_selection import GridSearchCV, train_test_split
 from sklearn.neighbors import KNeighborsClassifier
 from scipy import spatial
 from scipy import stats
+from joblib import Memory
+
 
 import numpy as np
 import pandas as pd
@@ -161,7 +163,6 @@ def multi_run_wrapper(args):
     embedding_array = bhtsne.run_bh_tsne(*args)
     return embedding_array
 
-
 def procrustesFun(projections):
     similarityList = []
     for proj1 in projections:
@@ -191,6 +192,15 @@ def Clustering(similarity):
 
     return clusterIndex
 
+location = './cachedir'
+memory = Memory(location, verbose=0)
+
+def wrapGetResults(listofParamsPlusData):
+    pool = Pool()
+    
+    return pool.map(multi_run_wrapper, listofParamsPlusData)
+
+wrapGetResults = memory.cache(wrapGetResults)
 
 @app.route('/receiver', methods = ['POST'])
 def calculateGrid():
@@ -209,9 +219,24 @@ def calculateGrid():
     EMPTY_SEED = -1
     VERBOSE = True
     DEFAULT_USE_PCA = False
-    perplexity = [25,30] # 10 perplexity
-    learning_rate = [10,20,30,40,50,60] # 15 learning rate
-    n_iter = [200,250,300,350] # 7 iterations
+
+    # all other data sets
+    perplexity = [5,10,15,20,25,30,35,40,45,50] # 10 perplexity
+
+    # iris data set
+    if (labels[0] == 'Iris-setosa'):
+        perplexity = [5,10,15,20,25,28,32,35,40,45] # 10 perplexity
+
+     # breast cancer data set
+    if (labels[0] == 'Benign'):
+        perplexity =[30,35,40,45,50,55,60,65,70,75] # 10 perplexity
+
+    # diabetes data set
+    if (labels[0] == 1):
+        perplexity = [10,15,20,25,30,35,40,45,50,55] # 10 perplexity
+
+    learning_rate = [10,20,30,40,50,60,70,80,90,100] # 10 learning rate
+    n_iter = [100,150,200,250,350] # 5 iterations
 
     global overalProjectionsNumber
     overalProjectionsNumber = 0
@@ -219,18 +244,16 @@ def calculateGrid():
     
     global projectionsAll
 
-    pool = Pool()
     listofParamsPlusData = []
     listofParamsAll= []
     for k in n_iter:
         for j in learning_rate:
             for i in perplexity:
                 listofParamsPlusData.append((dataProc,DEFAULT_NO_DIMS,length,i,j,EMPTY_SEED,VERBOSE,DEFAULT_USE_PCA,k))
-                listofParamsAll.append((i,j,k))         
-    projectionsAll = pool.map(multi_run_wrapper, listofParamsPlusData)
-    pool.close()
-    pool.join()
+                listofParamsAll.append((i,j,k)) 
 
+    projectionsAll = wrapGetResults(listofParamsPlusData)
+    
     global SelectedListofParams
     SelectedListofParams = []
     global SelectedProjectionsReturn