Added mre MAT-203 stuff #2
This commit is contained in:
parent
bd1c9f8db8
commit
d9b5e5c861
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@ -2,7 +2,7 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 278,
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"execution_count": 304,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -22,7 +22,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 279,
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"execution_count": 305,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -32,7 +32,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 280,
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"execution_count": 306,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -49,7 +49,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 281,
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"execution_count": 307,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -59,7 +59,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 282,
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"execution_count": 308,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -70,7 +70,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 283,
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"execution_count": 309,
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"metadata": {},
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"outputs": [
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{
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@ -79,7 +79,7 @@
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"['Iceland', 'India', 'Indonesia', 'Iraq', 'Ireland', 'Israel', 'Italy']"
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]
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},
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"execution_count": 283,
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"execution_count": 309,
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"metadata": {},
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"output_type": "execute_result"
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@ -92,7 +92,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 284,
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"execution_count": 310,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -106,7 +106,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 285,
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"execution_count": 311,
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"metadata": {},
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"outputs": [
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{
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@ -283,7 +283,7 @@
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"max 0.590000 0.948000 0.843000 0.516000 "
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]
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},
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"execution_count": 285,
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"execution_count": 311,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -294,7 +294,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 286,
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"execution_count": 312,
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"metadata": {},
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"outputs": [
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{
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@ -571,7 +571,7 @@
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"[121 rows x 13 columns]"
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]
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},
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"execution_count": 286,
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"execution_count": 312,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -582,7 +582,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 287,
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"execution_count": 313,
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"metadata": {},
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"outputs": [
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{
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@ -656,7 +656,7 @@
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"0 Asia "
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]
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},
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"execution_count": 287,
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"execution_count": 313,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -667,7 +667,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 288,
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"execution_count": 314,
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"metadata": {},
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"outputs": [
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{
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@ -741,7 +741,7 @@
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"35 Northern Europe Europe "
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]
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},
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"execution_count": 288,
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"execution_count": 314,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -752,7 +752,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 289,
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"execution_count": 315,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -761,7 +761,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 290,
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"execution_count": 316,
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"metadata": {},
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"outputs": [
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{
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@ -778,7 +778,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 291,
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"execution_count": 317,
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"metadata": {},
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"outputs": [
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{
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@ -787,7 +787,7 @@
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"np.float64(0.231)"
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]
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},
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"execution_count": 291,
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"execution_count": 317,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -801,7 +801,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 292,
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"execution_count": 318,
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"metadata": {},
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"outputs": [
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{
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@ -810,7 +810,7 @@
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"array([4.6125, 5.42 , 6.3215])"
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]
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},
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"execution_count": 292,
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"execution_count": 318,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -822,7 +822,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 293,
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"execution_count": 319,
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"metadata": {},
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"outputs": [
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{
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@ -855,7 +855,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 294,
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"execution_count": 320,
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"metadata": {},
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"outputs": [
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{
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@ -892,7 +892,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 295,
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"execution_count": 321,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -908,7 +908,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 296,
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"execution_count": 322,
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"metadata": {},
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"outputs": [
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{
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@ -929,7 +929,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 297,
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"execution_count": 323,
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"metadata": {},
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"outputs": [
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{
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@ -961,7 +961,7 @@
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},
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"cell_type": "code",
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"execution_count": 298,
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"execution_count": 324,
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"outputs": [],
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@ -974,7 +974,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 299,
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"execution_count": 325,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -984,7 +984,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 300,
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"execution_count": 326,
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"metadata": {},
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"outputs": [
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{
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@ -993,7 +993,7 @@
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"(np.float64(-0.6037), np.float64(-0.6037))"
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]
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},
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"execution_count": 300,
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"execution_count": 326,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -1004,7 +1004,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 301,
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"execution_count": 327,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1014,7 +1014,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 302,
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"execution_count": 328,
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"metadata": {},
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"outputs": [
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{
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@ -1023,7 +1023,7 @@
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"(np.float64(-0.6113), np.float64(-0.6113))"
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]
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},
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"execution_count": 302,
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"execution_count": 328,
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"metadata": {},
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"output_type": "execute_result"
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}
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@ -1034,7 +1034,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 329,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1052,7 +1052,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 330,
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"metadata": {},
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"outputs": [],
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"source": [
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@ -1062,17 +1062,18 @@
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 331,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(np.float64(4.8753), np.float64(4.8753))"
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"(np.float64(3.0748), np.float64(3.0748))"
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]
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},
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"execution_count": 331,
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"metadata": {},
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"output_type": "display_data"
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"output_type": "execute_result"
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}
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],
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"source": [
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@ -1081,21 +1082,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 303,
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"execution_count": 332,
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'k4' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[303], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m G2_byhand \u001b[38;5;241m=\u001b[39m \u001b[43mk4\u001b[49m\u001b[38;5;241m/\u001b[39mk2\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m3\u001b[39m\n\u001b[1;32m 2\u001b[0m G2 \u001b[38;5;241m=\u001b[39m kurtosis(ll, fisher\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m, bias\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
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"\u001b[0;31mNameError\u001b[0m: name 'k4' is not defined"
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]
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}
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],
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"outputs": [],
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"source": [
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"G2_byhand = k4/k2**2 + 3\n",
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"G2 = kurtosis(ll, fisher=False, bias=False)"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 333,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(np.float64(7.2795), np.float64(7.2795))"
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"(np.float64(3.1292), np.float64(3.1292))"
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]
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},
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"execution_count": 333,
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"metadata": {},
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"output_type": "display_data"
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"output_type": "execute_result"
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}
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],
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 334,
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"metadata": {},
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"outputs": [
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{
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"ename": "NameError",
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"evalue": "name 'g2_byhand' is not defined",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[251], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m g2_excess_byhand \u001b[38;5;241m=\u001b[39m \u001b[43mg2_byhand\u001b[49m \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m3\u001b[39m\n\u001b[1;32m 2\u001b[0m g2_excess \u001b[38;5;241m=\u001b[39m kurtosis(ll)\n",
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"\u001b[0;31mNameError\u001b[0m: name 'g2_byhand' is not defined"
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]
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}
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],
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"outputs": [],
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"source": [
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"g2_excess_byhand = g2_byhand - 3\n",
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"g2_excess = kurtosis(ll)"
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 335,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(np.float64(1.8753), np.float64(1.8753))"
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"(np.float64(0.0748), np.float64(0.0748))"
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]
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},
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"execution_count": 335,
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"metadata": {},
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"output_type": "display_data"
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"output_type": "execute_result"
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}
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],
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"source": [
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},
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"execution_count": null,
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"metadata": {},
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"source": [
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"execution_count": 337,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"(np.float64(4.2795), np.float64(4.2795))"
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"(np.float64(0.1292), np.float64(0.1292))"
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]
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},
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"execution_count": 337,
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"metadata": {},
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"output_type": "display_data"
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"output_type": "execute_result"
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}
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],
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"source": [
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