From f1083d4e7aaaea7d472a5961d12dbe290634ff88 Mon Sep 17 00:00:00 2001
From: Wojciech Jarmosz <wojciech@jarmosz.com>
Date: Fri, 14 May 2021 04:01:11 +0200
Subject: [PATCH] Add evaluation

---
 Jenkins_eval                                  |  42 +++
 Jenkinsfile                                   |   2 +-
 Jenkinsfile_train                             |   8 +-
 create_chart.py                               |  20 ++
 evaluation.py                                 |  28 ++
 linear_regression.h5                          | Bin 0 -> 49808 bytes
 linear_regression/keras_metadata.pb           |   8 -
 linear_regression/saved_model.pb              | Bin 138849 -> 0 bytes
 .../variables/variables.data-00000-of-00001   | Bin 14806 -> 0 bytes
 linear_regression/variables/variables.index   | Bin 2215 -> 0 bytes
 requirements.txt                              |   5 +
 results.txt                                   | 331 ------------------
 training.py                                   |  19 +-
 13 files changed, 115 insertions(+), 348 deletions(-)
 create mode 100644 Jenkins_eval
 create mode 100644 create_chart.py
 create mode 100644 evaluation.py
 create mode 100644 linear_regression.h5
 delete mode 100644 linear_regression/keras_metadata.pb
 delete mode 100644 linear_regression/saved_model.pb
 delete mode 100644 linear_regression/variables/variables.data-00000-of-00001
 delete mode 100644 linear_regression/variables/variables.index
 delete mode 100644 results.txt

diff --git a/Jenkins_eval b/Jenkins_eval
new file mode 100644
index 0000000..4f29a84
--- /dev/null
+++ b/Jenkins_eval
@@ -0,0 +1,42 @@
+pipeline {
+    agent {
+        dockerfile true
+    } 
+    parameters {
+        buildSelector(defaultSelector: lastSuccessful(), description: 'Use latest build training', name: 'BUILD_SELECTOR_TRAINING'),
+        gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'branchName', type: 'PT_BRANCH',
+        
+    }
+    stages {
+        stage("Copy artifacts"){
+            steps {
+                copyArtifacts fingerprintArtifacts: true, projectName: 's434704-training/${params.branchName}', selector: buildParameter('BUILD_SELECTOR')
+                copyArtifacts fingerprintArtifacts: true, projectName: 's434704-evaluation', selector: buildParameter(lastSuccessful(), optional: true)
+                copyArtifacts fingerprintArtifacts: true, projectName: 's434704-create-dataset', selector: buildParameter(lastSuccessful())
+            }
+        }
+        stage("Run evaluation"){
+            steps {
+                sh "python3 evaluation.py"
+            }
+        }
+        stage('Archive single metrics') {
+			steps{
+				archiveArtifacts 'single_metrics.txt'
+			}
+		}
+        stage('Save metrics to bulk file & create chart') {
+            steps{
+                sh "if [ -f "single_metrics.txt" ]; "${env.BUILD_ID} ${cat single_metrics.txt}" >> bulk_metrics.txt fi"
+                archiveArtifacts 'bulk_metrics.txt'
+                sh "python3 create_chart.py"
+                archiveArtifacts 'chart.png'
+            }
+        }
+    }
+    post {
+        always {
+            mail body: "EVALUATION - ${currentBuild.currentResult}", subject: 's434704', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+    }
+}
\ No newline at end of file
diff --git a/Jenkinsfile b/Jenkinsfile
index 318dfcb..6c9f70a 100644
--- a/Jenkinsfile
+++ b/Jenkinsfile
@@ -28,7 +28,7 @@ stages {
      post {
       success {
          build job: 's434704-training/master', parameters: [
-                string(name: 'options', value: "-shuffle=true")
+                string(name: 'options', value: "verpose=0 epochs=100")
                 ], wait: false
       }
    }       
diff --git a/Jenkinsfile_train b/Jenkinsfile_train
index d835ce4..26b73c5 100644
--- a/Jenkinsfile_train
+++ b/Jenkinsfile_train
@@ -3,6 +3,7 @@ pipeline {
         dockerfile true
     } 
     parameters {
+        gitParameter branchFilter: 'origin/(.*)', defaultValue: 'master', name: 'BRANCH', type: 'PT_BRANCH'
         string(name: 'options', description: 'Trainig script options')
         buildSelector(defaultSelector: lastSuccessful(), description: 'Use latest build', name: 'BUILD_SELECTOR')
     }
@@ -25,7 +26,12 @@ pipeline {
     }
     post {
         always {
-            mail body: "${currentBuild.currentResult}", subject: 's434704', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+            mail body: "TRAINING - ${currentBuild.currentResult}", subject: 's434704', to: '26ab8f35.uam.onmicrosoft.com@emea.teams.ms'
+        }
+        success {
+            build job: 's434704-evaluation/master', parameters: [
+                    string(name: 'branchName', value: "${params.BRANCH}")
+                    ], wait: false
         }
     }
 }
\ No newline at end of file
diff --git a/create_chart.py b/create_chart.py
new file mode 100644
index 0000000..6e9bfa3
--- /dev/null
+++ b/create_chart.py
@@ -0,0 +1,20 @@
+import sys
+import os.path
+
+import matplotlib
+from matplotlib import pyplot as plt
+
+x = []
+y = []
+
+if os.path.exists('bulk_metrics.txt'):
+    with open('bulk_metrics.txt') as file:
+        for line in file.readlines():
+            single_x, single_y = line.split(" ")
+            x.append(single_x)
+            y.append(single_y)
+
+plt.plot(x, y)
+plt.xlabel('Jobs')
+plt.ylabel('RMSE')
+plt.savefig('chart.png')
diff --git a/evaluation.py b/evaluation.py
new file mode 100644
index 0000000..8e13373
--- /dev/null
+++ b/evaluation.py
@@ -0,0 +1,28 @@
+import sys
+import pandas as pd
+import numpy as np
+import tensorflow as tf
+import os.path
+
+from tensorflow import keras
+from tensorflow.keras import layers
+from tensorflow.keras.layers.experimental import preprocessing
+
+# Wczytanie danych
+test_data = pd.read_csv("./MoviesOnStreamingPlatforms_updated.test")
+
+columns_to_use = ['Year', 'Runtime', 'Netflix']
+test_X = tf.convert_to_tensor(test_data[columns_to_use])
+test_Y = tf.convert_to_tensor(test_data[["IMDb"]])
+
+model = tf.keras.models.load_model('linear_regression.h5')
+
+scores = model.evaluate(x=test_X, 
+                    y=test_Y)    
+
+with open('single_metrics.txt', 'w') as file:
+    for idx, score in enumerate(scores):
+        if idx == 0:
+            file.write("Recall: " + str(score) + "\n")
+        if idx == 1:
+            file.write("RMSE: " + str(score) + "\n")
diff --git a/linear_regression.h5 b/linear_regression.h5
new file mode 100644
index 0000000000000000000000000000000000000000..e15841a0210b79f5e439c8f5463898f894da0d77
GIT binary patch
literal 49808
zcmeHwcR&<L)AzE7BBCIYL{LCfKqT)@&n(-bpkl_1q5=XcN)Cz{5EMm%7{H7fQH&_N
zvuvZDo}5ZBp=UTT=N!-Y?e0u_vWUEo&)t2#FYF)Gbazd4^>3=Ht7`%aJluOW*D%uH
z$bahUoJJgN#UcLlnf+xPW@>O5xBIdODlAQAX)c#JP~kM;$lDCrdTmy|sVY-3kv(zf
z;2u3VGEOWXQ}(nk0<fGf^$iF00s)U6-8|(3^<qbB&(ads&e$R+BrG5>*k@{B(1eN6
zQL@Ug@aUkBpy`2;U)9NZvAtU26KkO@S$kEsYfX-aY_7=VwBYD+)H#y_BmJU$rUXVt
z1%-vm>RYR*D9)76CZ;cSMGv@NHF=4tQnYJwTv>VQ3VGxF{3i#72Gl7>F>zTrawz`N
ztGPlBgNJ`u==h)s@-AD;6p-swn_dQTS*$$y6#Yw{wnAQXq+d{IQ0N37R%BiBw#o<0
z%9G>8^sG3j_D6-&Sb+nc-`G!hv}V};r+%WsnBljqCcU9hUl36C6M!A~)5g^i2nY;~
z3Y1kTsE-3n9a-wc2@Q)3@e2-`?ibC>XFP9BtBd(kQjyJGIghga8n$Iva#&7f{p9md
z{>x~>Q2ZC`hx_%w4SzH3<u<UNq7POP+@Hcf$@+4%<=NWHD0Z_<pupio%kT?}93LDu
zl~IUY&N&MIA*-5U?jP(I73CA^7ZPYrnVJs?jED&gjSlh)Hn%Y~XPk$ueug<_h^odA
z>^Dv3N@Wb*%7S`_hQ~zrlQ$~~8s``7KhY;h-s}@K(Jx%yt#@claIlT3(->Kw0nyVG
zb>=dq{i2;5<)=r5`$a~{8OQqtM+M3%BK;;z2n_hD0;|W!bugbb%SNVj^|1~3+E$db
z!sl1BCpnM8k@}4bmiHbV86)rfM@HZm8>E1#i^G_2spc*>^IB9=m{={Ud<(3Y(4c5}
zUrzQiUH$x{gQh4ZhpfgtGB7wsE-5A|&}UqbpPY*wlWbiKl`Y7!HA8;w<qNT_O&P#m
z!C{eM(ZfQ6#><dY(l#nkaXsW0Qa(U)x%fK7jS7qmi>fY0aVo1zWZ;CDV82LK7sf&u
zvEOV_j5H{En$I^|S(!3}j#6CFXxZ?-7Fna=hpv*3!w+01hlcC)*Twjku9L#6d}C^V
zZ$3Hl8s^iNN%JpVC#N5oPc<%6a8PKVpJE+qaD4v*$0u8%6nh+b#Gu$0DB^_RuqgR@
zVIC6b7wY3TE-EZICOXh3FfuYsfow=%bYzgfVvVa23k(hmi|#KwZAe6nUu0lF4}8uy
z!iz{5tB<0KD2Dm39%{_ZS+mB-0|sUj85kft4XeO<cDc%UKlzu7`D?5BRsYo^g>C_U
z%Ig~r5O7nl%%T(<tVq9Td2C>BYj5vh&-|PTXOeK{IXKC*3kdZ0o5r-uO5*~f{bY-T
zoE?ygAHjFv0S9MC2i)qYXqC0eWjQzk!kKUHB$pHz9u*WE7Ak9Y2<&1{$ZGsTq9#Q8
zeF=kR$*voY2XUCn#LbSfT^sYOUhgE!`h2V20dEDr$is1NQ<lFuORL38vN{}hVyYZ}
zHe=7jdg8cMldZ>8(Vv|>h@j+QEeH44g5_h{880N~!1b6i<97HWL5n?)4WIFT!VXKo
z_0`XJ{BnNFZ=Ub?<$N8sz54l1U(Rp!&GVhUoUhBa<Lluc784pR8<-wjkMW!$3yAze
z{R0_PI2?Vp9baGh)RDItu=V(Sx!Kx%4Vv8)g$TS4!uoy1CkLP9lI0^<d06gWd_E5B
zAQZetwe~CH`$}S)+T~$T74q0L!5199>X*4VtcE7F%flcmIN5F9x8yMwi<Q@|c6nd)
z3y~pc%JS93*@x9n&c)%F)h_RgesWIp+U2qOG4k5iF7M0rkaJqpE|0w)jJyskUu|~4
zaB(;tYn6wsfZ^=K^5OZexNbqwfsqO{*hU$##~azdsv3^IfxwUf1Km|*yL&c8$4O?A
zbZpL&!`aQ2D_BQ>=XKmzMi_=Umo1n0exs9mP=)iv%6MsVve~?@rYwJI$WbIV6j>2@
zcKSQ{SXus9{=@4Tri%57y;$-!Q&G>B<wW7<*|Plj>$05p>$3ck)}D9%ex6vdZm|8x
zkN?UO*Om|ezPzu;!OU&Ea>|5%^{eYXQ7r2aS=GKev*EBlAi(%DwJ-k6Lt*gv9*oSN
zv4KQ5TaT^G(w0F7`!i3r94=pEWk2lq-U6nK`AkWs>?&ZWDML6VeVGHy_mnMb4`Avo
zS-$My)%gyx<ti_h;r|o);?I=u(&S8J{h9p!k|BrLB>m;kYP}!C`ZJtI##9m4vXfQr
z+Z1s+TV`T*e1)n5p(0zM<k;ftg7vM!ftVS?UzfkAU;~~8e^DLZ`chK9A7jc6+?2H+
zj04`!;WFMq;`z<G1>9UGW&D)N7e6Ip?H0>Zw&OYl)>8(2-xvq1DjdeMs&E-3@qH=m
z7HXCa6{of|ZO7)OOy&2m4Cb(S%2yJ(BrcZ`sLpyERTaYy3=6(9&6IT5D=I(7vV4s%
zN9Hg8%^!~Ev0pUo^8Mbi-#dsmh~H<gH?64#IWTmGE6h6MAw1VV6?vRpDI7t(lp6Gn
zL$B!qv|!eIY2TY}E*g7pp+-G3QNpVA$iku!2@(nD6)_WnzC08#<uKG<k%iQcY=xUc
zq^P`47qrLQ9TJZ>!rpGh(oft9w6(-Ucqnow0?X$K!~0A?PEVE!2Z{T^J!&J74IzQ?
zsz*_-T^ia>E<}@#X9-{rO`)|GlFsDZM{D#ONjL62g$6A3DhkN6gl9kapkE$Jg_Ye3
zkyF-6*sSq2>2pgC>^-p@4NFXdv)6Wkhprc*^)LdOsumWFj5I^0lIGB)ECqJ&R)UIz
zw6OEA9q5fZr}%2>257!!AS}(dfEFXI;O1fT(X3}1VG|<~8bobEX<k|IL4+X;ojyx?
zF?zn#x#f14cTZn>_D%v+eOCyFY+vs(<60toU{{0==1fCCd`o&SG#*)Zy^gj%o(@-U
zJ`59fc1FaR$F$?#0O5%vS;7>u5xnW!N?2?<TH2w}d}-#w9_UKz{?hl)W=gwTbQYd^
zEkOE}y^vuK5~X|oR;1OfyHv>4bD7hz9V(jg*=5$KFrmkV&r*lY>jmx8&q=p!Iw1Vm
zVy(-VLEgfpQ~iXtZ_|r-w))cE^OK4SbsD2Xzb}OA+Yg3rvsKV<uRV%8c&eh6&gJl!
zwiaCTJ_voVTY)~t6iVZtG)JBT%8E)`4nVpudmx9YO`w?2kVg1NqMe%@CE4*|E>SBx
z!!525@#oJ$UHRI@nr57$)aAFNpY?>Wa9(5N808DSH@8Hwc`aaqp%7*EcqzQRbS_F=
z(Az~XZ$50VnFzCWPYTUnng}QI(vfp0g(6*Yr5^f@P$eZ9O7v!;Ye$9)jW1jj9>3YV
zxV-BNm*PtwT$UPn6lIS*fO1zaK%;stL!)w*!#!g*!gbdTQE|>-6sz@7dLfLKJ}8?C
zjm9;Cn-^!I#`jXBJv5fUm-i1zx%M}Oe!+{21kKwP1O8<A$lDT`ZqIZ1M4v!&4JJuH
zI>*8Dh7#2J4*`61X163(uPJmp!Ize=(SlPeN`+0k=fFFolF^a(k*K(04B8~kffd3<
z(tUlmAm^ELg@IesrJNK{bRxY3rEZiKodk2?k&@-;&F8DIgVzdl^TqU{y~AG!SM1J5
zQ5T9~>+~*?afc2{J+5>>cf#XP^Jj<QyY@?ksYlur=j3H0&M=YivQ;wDZnj5QnqY&D
z4GTb9ymtyGwpxqg^Mg>Qp5|T8wtpt|{nQAm5A#6fi;qc#m)D@nNB@)#E#HQ^X1Jpn
z1Crp|nbV{f?kqz4*X<A*d+DKPOHK-(uk=OjuFip`?~_p@V<`+V-VM+6w?@{ME76`w
zX|TC|HZ<}Pqx0|Y7gf%SK{q#$LQfApnA6n^E=kNq16uEf=H0hJ)pp)!j=F`gg-RBj
zwD7Ui^UykU>&+VBJD*X)icM`?CMFf3imX87*kK*|G@=VUuI2^1Z@Y(@pDch{*#+pf
zmL}X7wq1JDZ4J!SsDRBLv@X`2)DMn0ZzH|=z#EqRc>v95mkc!zWx}z3)@Z>>Pt>;M
zM3`5aCT&U`LM~gXpx>5u#aHLfhPQK8!#R8WrE{hc!d(}xONXa-hLz*Dqi3QR>8M6m
zU|5^+!ed8MP|S87@+P-SCkCb#S!XSlzF3|Hk0qx=<LQZLd2$i7w2~sNMJdu@gEORU
zJ+-7ZsVY(}w_nh@4Jp#MiyVY&Z#Q;1GI0U?VBiV;kNgJXBmH1t_!QJDIM2niLWrIu
zpO$ViT?LyAS&b?Kj-lIw{H2vc4hUa1n}&AJ2tmVUTL`x;GJvb%7faU#uM>WrzY}Jg
z_Cw&!PU)e7qwr|5J~HuI0qFsIVVPiwu$$Kfsfyk;WbsZD&gd14Ugo(%pP?<GflWNr
zcAJKZ)|^ITE-gZ+zZQI=GX$w^+zivVY=wp^4WPpqv9RCO4roeY98}Ydce&a$7ZqeW
z!xizQ%a8&icr!m%NSNL%+GKVNj<?l?W%oCr<ea5N?&8)+H2WUXiOEDudM%X_2|m&g
z%^>K~Z!k(bz84;gGes8`mLXliLiFpfXw+tClj1@CF{tDD6lvNqYe><#aQh{Zv@Cs0
zQ5F~pHMeD>LA`EDwGLiFD;oEK!+XTJ+?xnt<b_<c@`f8qYW#;Vy;VL6l}-?5KSffT
zBdeqx=kE~`F<j^#t&eW*M8XX^zY8P8ZH4oKdJ88UNhwMxzaYFC-a>jQ^OevpWSh`&
zTocG$pbMYfd?PF=7fDrD?GkFYxhjlZ+!8il-3N^~KP)xjHA5v$?-%KI-XV-|wUZvv
ze<v(+REK8+^Q8+j?n>WWeIea&e!n!++eSKbb-FaOa4^h0*h#wF^RzJ2KR|f<@iLf2
z^@D3}cZDm>0?;n^6yd=9Bf`c_UEq>VE6_B9=~9#3w@{d_9-6B?4wi-mqCEW<P&Ff0
zX!=`kw7!oWsu&cF2InHw>p%%Ab>5A*(>T!m*LUtcbc^6F&(+Y##mmk1S*hTu?MUd!
z-n0ldWx^4$#X9=jYb$~2fY*|)q9l5Az#;lRGAR0RY##Yxv!_Jeha>sLLXYb|eq~Y0
zZ^@vO)jJS6ri$FCmO(E4xCg{s<OxQ8I!FaSx=8jKw3J+Vs<cbZxRQyeRM>qijwdly
zmBoefnD0N2BjecAcWkxTs%9Kny}cUqzfh>{`L?@kek6z0p|1V5hcm;7<IaCU^@c8f
zA_SE8+c>+E!P*g4mA%i3w{^0ot^d0p&JQW)_5SXBmSQ}tam()wf1Te_94nr@t~r+4
z@>#nb7~TpehSoK|a`+5i!~Cj=aeb&!o?oWypr5k#gE9E0^I6HP-7;AiS>9dAj<FsM
zv^oMc;|@y&1I}mRcmqGTp<Mp)IOHuGhu}Myj9xY4kcrh5{)bD-`K-Id_dCRXFN61e
zzWUZ$)2^z=v)G<6{c$_W?aW}y*e%AnrXBs9@vMlwkC($LUe|hS*p*?#c8AB?K<ftr
z%IhtTXMI^a!YDBDtmEGv&nn-4{wL#E`Ll{&$Fs~>@rdzA8CqLB8|T8b=Rk(mHNV2U
zF?<d4i@~A3{Z*b{rYrylS^L3w{L}HQ7i+gTo>jJEtVaW_jzG=0gNX}pJd5KE{2Z`y
z`N!iBQFlg@yZDx`qF6HynOI%nf4HO^&x-ndzeDWzd|kiKSKnGMChn8YKYB?hO6mX?
zSfwL%%~X`?=7n~4IRy`Hm{w%k*%UqQlLB7^&w^GLu0XZqJJR<i1JLuA0A0Fkf*z-5
z!Zt5@!rPJ2QVZcVq4zya6gq4>yw5X{t`6J|!=7!0t93S_tV`K&u3;#g);$*v={*8E
zx2=Sc8wMhy>%YNcP2UQmB^uJ8sZFGPKUPXB`y@cko(1UOMV%toyCG2I=8b$b(uL}#
ze<HJEIjF^OAJoEL8)<=8Ld{RxWcmN)&=$nQ&kvWP=SSX1Z?;@2ys^&`PLB13*G5i9
zXRS+w<c5R7k8e!iu0OO;@2m6Cu<$}^?7a$9;yn-T-@Xy*4;>DTPAn4IefB|)2h`!p
z<}0KrXC4<V2tA8RMsuaFUd@C112;nQ4@Yz~a~!<7Vk|6<xC@Pb^?_$YlA!hQ5%B!g
zM7T>|=wdo*Kiah11Rk}_7LM3cj;1HCMAI+j!q3*>$hB#KFm`ALx|(qSX3RbA67=wc
zG_XJni8u4n-q-74m;8=Mr3*)xA2}7-Z4Q9_q&yT_EW3Z}6eoQgF-N#$lb3MVggiK+
z<sr1+VIM5kZ-$yp?hi-5+6GgDO{pG(=fbclYoWAtdC`WspHcMEZ0VIN+tH8#7RAdQ
zDWUCzm2hwgM>;sVyYTJXN|%L`I>HT6K~S$<EBLNa3cL`@LpJ#j;ncDF5ViGw(X~O-
zUDV(E!_rW)IC`9#ppC0j(VacVk@hd!;3?jDBwf}6F8gyZd?IZPyD#nz?^N_dsU6p&
zD?`tsw+3bC$cA5G@sI;(lVLV|z4k3RMDHwY(_uR7__zpZB<_T7Q(j9dy+2Ad7xYB~
zd*s85k7uJy+p}nCk}sMhy$*dkI>LRv?a{Co4zOv<qYxD*xt!~COX~h9SGZ$bZ=tRr
z3MI9!k|tVr6}lBqhHLoYMWxpB(eB2cMco?BLAO2+lf-rC1g&+uK%J~&G^yMbCK~gQ
zx!FCJxPjg-St@JctJqP(qp>m2J#Q);pO7LPEIb6;!z;-8RvucgeGEFoB~kJD5SZtl
zFPwWT8a~|X1PjxqqU5kjc;eG$2)f2gV~8sF=Z&=}xYb%=Y34pS>Gf_H(Y08bXqJym
z)Ncx>zT?3=TXrC`TV0{S>mDxm&QC!TUw4z{&-vAbo}1{B9@q|E53ohXSp$T_bceWn
zT(nvmIAE7FzAO}0+8jY6nkB-@&m~azgqo1cUx|J@nFb3?N@1?oIU(nruds2bFWMW=
zgURa_BExnq;dA39&^#y=X*WIO!WoBz`ZqGDym$}Vq}?uw=4e7N<6}CNob`$7sdbw6
zooOOD*{De388d_m?qMadw{kC>Nh8TJ*Qd0`>rT{LyVG<o)l}f-7fl<UFBC+JOeDnG
z%T)AQj*IJ*IduGMe`>bgF-rJ4R&Y2hRY1LTlDzfqKu>>cCmH|QPI7xFpgHGTQGXt9
zN&i;4kzSwNMo>2VwAlCDLwa}j^P=O%=g139yd(=JUKXbWnM$T4CD4C(o~GUuFQ;7}
zL;;;GW#afd>Vm4$0;-dV8+|eRHmPscSWxz%uY_1kP-%TviosGh@tekJG)F&Qyl9V`
z<Z(1XSETL(_qF0AZ9WVZL`<$CEskbTw}PA{<2pB!WOK#zr1xuRz05SpJ3BL~<HB{4
zn+XqTgJcznXK^^GE(#G`G@MVb^xZ8uSQ;d7t(q@3p6@Q;d=8UvXXa32TD#L7`0;{1
zx#I*07kfy`oSsqigJg+^eF|mVWTe>7F-dTV$dFvmPou6bJwgZ0TTB|CHW2Jt*i2A)
zydOQ;>Laz~c?50!s)ZnHog-;K%1FS`pG?2p7)9=$wnZHKY$qLgW0J&l<a=_;*c)_S
z?^FR-eT2lY?3DQ8!Cc9#7kQGn6R&u2E>{VoyNQCvu3D1Wj@sN{wfA(7+d(wPp+GX!
zF-G#I^?1qKaz~0|b(&tN_nrpf$0c`NX476Ri@>ydzX)`;YjbCw%90dlXmdq<b&7Tl
zs}S3j*$6<dgM!LCB?8k-6S3KSU2fYKX_BR7B~;r%trMz3Ptlim-J!PZUnJRhZ@J{@
z$XDX1O~n*v)A0kTcb<ul6$m6rZ6;A}t$R@%pQeT5o3~83Jn1NP?2Tc9)^7(TPcQTk
zkD1g?uzIM7%qdEzw|rVJIOJxKa6QCB;IhdS+_8Ji4~ty^mT1f-JLhYF&xLJBhl*&h
zFn~v1*hi29%yNheXfMcZJqwsO?m+hLdI4C5pCGm`(*Vo+>ydqKJt78XCy^;zkAuN|
zPk`~Ae8|$_Az;L{u4K!->7XjCIoWkk1lihoF`!<y0w;&IAo(c<<fNE5Vn%!fuvMKx
z?%NRv9yn(Mlg|%`PoHVv<)}ekyQT+Lq(SgHcoFeQ<qhD^vID!SDu6}X4Isj|9ciR8
z3Y>a;njE{W5*VlygKgJh$tLmkq|e}WWc=|}z?k<ds2EgCj+$u?Iv*$o!*vo#%3v&5
z9lo6i<EVp&rk-STfe5VbFdbwX8Ud>}5bWCdlGw6qI~aL=DCjkHCGoNI8nVr4RgiL{
zl%VPPK;vvL^4B59!K*v%sX=k=$=st`2)7s=Dkfw!(EUA~e6&3docw4Ht}M18qck>w
zQ3cNA>@DV`nzo@(9_!SME34<Ta6F0WkH?V}Y(6WXT8LFMj{G_ES;+$!wR2eQ>)LPM
z9mFu=xRX7tfz%TOl=s^>yJOGV5r%=uXF2`t`7Gu4B>u^Kmi(Q>uk%^VyS8}5c%%%i
zEuZB%kZBKR=S^Mn%XKKj-!Q+b<6B=!%Ja*V9e4(7KNyF9I-h09+AYp!DcdpDqk&dO
zpk~}*sbIkQEF5oOT$Rf|9)~#FFq+gAhfJ)l@IPEq&SxbL`+kSm@7WLeK3{!nt!Y=)
z<5_G^nEtpOWwUm~zSzwI{l6ui^%}`2yqnd#uJzW?n_>L+s?G{&Apd6(P+o5tZ!H@x
zYe#tC`1>Zx-$B9OOTqKb9-mML#m^fmzt5}5iT$tMpT##bFjah(fpx0#Z?-7zpRi^5
zw?n>u-=Fyw%(rJkUH%96_ZR)q=bcxx{)c(H7sL3o`5$IoQ{|Yl3Wkrtntq$&bxnQL
zx7%?oM&EZduKB-B|2@0P{a;~MHSu692m2RQ+4I5jV{KVA)8eWyklNovEnvruEs(LN
zn)4}xY52+h*7jb3s~@9i1`AAG>wHEa!(SbRpKP!V>ilB}D6jL_&))T|-lhC|QSur*
z-#n@}|Hmb~&MSZaNR#8GB9E|DWM7#3k?&;4pS6<zFl{C;u*Tg<cBuF+7+aP<xGT?P
z;dc3p>5A{EvF+_;<*)fIl-lLrB>TGERH@xesa^i6_}BdMzP|2XzH|AyfB7ExYkv7B
zMZRutqtq_{Hrv<j@^7$xeLnNdGrq#I#;<<0<>}szW0(wCKT(%IxjTX3XCeHmhla!Y
zfPk_;v1bPjSo^^k;7`vf^5L>d{N56N-cvbGZi!E<g)(vHU*83(VC@$BD`h*bMNGY~
z{`=#sqW{%#7GqaxU*0~m4`NIN+m#nvj-AZZGubEE*Gr~W=gVNryQeYrrVQcaq*muE
zVas>ZnR;yZ7dBSs<7{Herdt?_{q2SEO!;T~Tig1gj9*>r%kI$X<Nevj*`Uuqi-7X_
zg6CT{JO6O+%zYpZNB+Gjc^#gwu9)FJq_x?vVK5^Iuy$FO{i;VW{NIkk{zIi2*#Fld
zP@DaFvG#)pgun00d=>h?w_kj}3EQ1#B-0a~7qM(PJDRD->&a7gUSU3Ed&m0L7g{qu
zVpeE;9~0+!@%yDU%Rid`&FRTt{BwRc4cp7xu<u&}wm<E?-{-4ut+lN$%JZ_W^~H1w
zgB-@WzTsHk$6MR_B4YhI#^>)|Uuycr>i6NXKg9IM@58HmFk^_tLs8J0dHd?^)tLW<
z0$y*iU(}BIey4c8n(q5PUwvz>%`YnNr|a^IcV{xl;p<V~aIEj+t<5i1u=yB_&%d>A
z^qkK07|z;dUH0qBepna#39N4etse-~X1^J%{a_US?sXlnW7zJJlbN3IesDKiu2{&_
zWB+Q&+BfD?ws)*=eW5kuBTL25@xBqqMfg2#<?@fmOUZEz#y{uxiLkxc&;Gt8VEeN#
z_&#5KYb}&+5bN(hLY)|)D)F3^DR$?$@vPflBJHh()c73<q`GT?nB%R(%`5j2XPwNT
z)B_;hc=36vlg>WTlv_#Eqf%Xp9y36cG^q=fw_BTg!N!cfLo^~&Y???$zj`8WvmjHv
zuKN(lSivER@@h@*xW}R87>6`>qu+dLE+|ZLm&7Cwl?+^~N#~_CEgE;Xk>r6&AIU8X
zU5T7;%a(ECy&BpHH@)tQdp<^#Yq!4i?knA?qJm3QVQ35h^ZS$DbSrMv`gVo38HQY|
zu0TAx(=oDTk{uo57*BI%_5$LCPYT<nL;<<H^kYXwYge}BQcZQmBE5Vu<uI5YIl8-K
zLUxsy|8R|1@Tnak=kuHPQ7orMk31<$_XTv1*o)#VX|}ZJm6UwC{)u>x<vCE~+mh=P
zZ!IqGl|Tmk)|Fn5me3R4r-{!r9U@u0;huPHax6V1v$JBni&B>=B6C}(=zSyY=23mx
zREn?XPN9-@v%!Jk%L@aBEg)U@8E}(byNR#ox8}~%?Mts{l}WGhE~P!opGYkFZxXxt
z&!NpGT9I<S@{2>o#2^DMXJi+C#JsKa3a=*g`l;~}HH{eZ1d%{{&z_>t-?7U)k(}Q(
z#6lGJVVP)oz&!fuqjnNAcuG9{nyz?fk4_3))_GMa_`xDKs;q1!T^aRE-10#jJ=;Hp
z9G1tSc^{G#e1BTZ7VTY`NG&UIp*=4fQNyNdb6>WgMJ7Tu@pQ8#VD{$8<VTfu+#?f@
zi@W|ZT6EGzo9=twm~x+bNW|a1oEj8iEa=_oBN#izS1}HwIqenrn49sa6H69Td!kCk
zcP%ebqg#)nhA)<ijjr{juEgqb7Zm&|&Q9bLEk8D*`@N5+iVhLtXFe~f<lWwalSBKF
z2lNjr<UKi%O(!PjlGL1XGCVVv)S2um&V9d-yv$Fb7CtPX=ico}+0WGD-rbQ`sJdEA
zI3CI_ym_*tplxwS`eJT#!QBhbsU~X%0@q(|k#nE7<8Jyar0wzzxEBx1r^X9^p(8Hd
z5UZsW(yh)-rsm}@q&2)~1upZ7Pl#r!7;uBL)ajgQZK*a7Qs^7MsY$FtkCAtV`-@Ls
zK?=U)*)K$W_&2DC&nM~V4))?u!&Y3wD--BK!$dm0_Z3n4$$R1qFKzDn-Pz*hcCV?d
zUv(vM+w=jtV8mTCH9#DD;3lw)_yiIMJrJLJ-<I1yuL=D}_#<cEm_2lk(*P2dn9>(a
z0wpWs%cy9h!{VHh@rr(3*LS7^&4yFWD^qCw_3o0$T@JLG{WVE4pQ3l`+DW{V3TSi7
zcHGPUTg5vg$5Z87Z6%9(t)e51gyQA%!X&Qai@;<3k@S$rDT?c5+=o)w%S|E?RQ8xl
zb3cUA?=5>u67IF9?Sc&G1*NLw)+hShm%F557o$H3FBgCQDD$?0hsOKG{U56cTvCFm
z`)AX|PoH~JTD=XpfpHz^SqrC81<QNU{ReHLv!2F_yQe})u0$R9rk$n-xtP*%3k|q)
zm%az@d-@aa#NnV(#(i>e%SGVXmU+OF{F68n9SkNVrGU$&`r!8=gF)ik&fsb5p=5<g
zQ!r9!4<0?O1UEEqfTbRrK-8ODl2#o-Zg1ZbR9$>Q&Jk3C6mLzc>FM8rG<iFCGVBQH
z9?}CWo3S3a!rA1(XM9TaeQ$?z$4`^_oq~Y>>A`{(=YOSaI`5=5tvW}Yoc0Ik_j(73
zf`(9nWw}H)nMk-^@S+Ai_Hyi+H=bId)6aRYriM%9dNp$9MIEY-QFqF>>Njf7r_<Cb
zp#v|!QG0>a=+oqaDe(>`n-vIF?dMQ0TN=4IEvE#1csB&TYfY#b0acXAlQ4k>?<pB2
z>Pj3*xKI26%E?&;)(*`Zog?SIE_MpM>gW=?y%{y``~|Y`HbwfuOv>-_JJK?ItJA$<
za}{$$?hhJ%4G72)s4YLD9GBO%zw}zf;ECg`26XEe0=4ZgpR)TpjK<%+zpS}0GE{Vh
zzZZ}9Lzw>fKIjPh91^qd!sGeb^Tr-2SkrG)JYQX<-)^t3wYB+0<>#yF@{6WR7zFV?
zwZ7t6U&mdWUsTVij>x~2H%?~z&CO)`ugiX8moa?UPgK{sq4a+pf!gf1gtZ?${=a)&
zSI!$BT+8%?^TBu7vif?a9{X2c*1j>Hvb|${>kF+JA2IO@&Ku*ns5J|Sa{0&OrGv{E
zkw52mK(W0{T>5=Wz<$pYeV?zswbIKTi}i0Ba&zXaBpn0Zh`N#9lv_7FYRq0uia5B4
zHcmb-no6dT>*GI@MMLaq<mpz}vg)XKe6B9nw@-h1k(WNVG;a@eTJ0REyTq8RiaIKC
ziE*H}o>)PbjW^=1xpANNXyFgu`RZ|XP5vZ$sU;Fa2J8WoCPjco9DiW4|Bgtf-6rDT
zs%M0o-&o+Gp~v+|)Z@N+V#1YQi-?qcAfmB8*R)WJ6c1{C;FBsz1n(Rm$~Vps9oAh*
ztT!{{3OX2avwJs_Brh`Jic4eYs^_igNpEc>(>gw;XWCWK9>xnm+JY#0@B=q`gU?0U
zHiILkb&a^RMk<x%WW?=pj+9)Qq@8e8nkp%CyaZ+hHWs`MQ56)-X(9NO-;9h1Yr}P(
zc$~H<cuwVM8FHUeanw`uw`7SmPhfobHB~OTOWCy8LkF(5rc_Nh)E}u!#Fh@pblfk^
zL7S$l#b+PO^4dX_lyPI71gEG>!PV9&;G`o*qVq&Z-x@ob&MbG896r>NTXH;#9x=ik
zRFvs*Kb`4AzPR6!(09?MT!W90MYlvG_3@%OyL=?Ed!3L}54s8*R7?`o%d`_jhlDgI
zxgA$%ZwuC*H%Zu37DQcW)}DMkUAwTX@mBGR!Pmuo(wB=q4{gIOx3!|3qY}k7v8}ka
zgZOk}n>?}iPOfA_#U8rb`7N|(uBGTYRHGOC;!Ovgcb8=EoI)oLTqw49*@v9uYr+jY
zw}IZPqn+SxG*proVlUn>DwooFv6JfW*-;QpRMH!_7;#6trit5f(`nk$h<mimkWQa}
zTHMO*5Bir;S@f2Xsr12jMB(rl0c~^kjhOmyi>?~qi>@*==YKjqUoiMlD{iDnTOy(K
zxWh}FC85ptgZ8fvlP{l|2u58wLk)b~Oz^>=6?dm(z2sRl9r~AHM%>s=afJu_cNcqU
z4-#3-&=N%tRuOGW=te(m+D07RV+P16ek(He7(<IxwM1HB<>D-31Ma9*f%Ne6trEhU
z=ZjvHFD5m9y$)h8{VqC^nFa1>m(z>4$?PI^Jsml>g?Q`}9qwC|7osL%yF}{ecZw%o
z3lT^EI##@?d>e2lw}{M+aK+}X67i?Q6?;X`G!=Q;&k?#@FU^ID+-eKe7IfdHWkf==
z@#J1f5Sepv1)1YfRVcUbrE~~+>t&k+yCP$*hnr5qnJIb+c}98(=g#OSEOawTa9^Ou
z^_|u>LC%|e&L|-<*nn$ptEZS7*&aIF%zJu@wnf_*Y8PkBb!~6VjTzF8TX?6Pf={=d
z3Af#tUWBk!OMBX?fWK;;5$}0#XP{=4N36TIl!%(WjyO4YA1`b63Vz9|Bw|~eCPaSp
zafjhH)A+|>2Zz*nccO0_6{jZsAA+Ef65jfaknk_DCMKM?OT1kFiYVz{>a=~KIassC
z--&nC!*;x@wet$6o=!2+ZM>xuOnFVaYw}W!n)6OK%5c)Wtm}MG^}Tbm6;`%7U3S<_
z5Sw?Fk8Qf63C}J)+D?DKSpK-CT>Hkcubr-`-FFt<7|G-8D{}16Hq>Fy1W$+X_s$@;
z=ddo7KCg+_r^oU~zlb4U{(2Ye^*sT$FFgnBAH3vm4Lwif9WMZvydLm;E<Uw8Tp%UR
z3J!O9A3g<y9~$A{|Jjsk6x5CwlcWJ&o*oWTKADii=UgT@L$n>w4Av*ro(&{ZUoYu=
zcHT%}w8WP%8TUImIjleFvEGS{EuBK9pV~}}$Z8G5Y39VKkP(C+`58ZY_n!p+?8Yu`
zCxgh#U5xBTyQfi{&bRqHj@Xj-f<@q?&uH*?r#W>#!qGNk35S}SqT@VfL7E-cW-+hN
zRtv|6oR&n3ZhriZ@51;FIR$)CyIGDUA7=A9Z|%XGbVg#oNwBNSpM{wOcgG@!Zam8Q
z&GTHxkD-Xrzi7vszAVP6^s*bjqpyhn#x$MRW`Mg>tX@B2vUe-;`ISMoc3TF4UT=mH
z<`t(%qD@ay2)mG*N-lzg4S9s>j8DYi+2!C`@14ZWRfT*5-&@Y-=f>N@dnDO^#t=K6
z{{qT-T_}HKcP@GFdLwd*eK#^IYYo}7<3{^C-bcW-ft!J8fPa_YZ7oU9<P!e$*16P%
z>qeCNZ4Js|aZjpX*i>RVw-veG=NKuv<3d=h_H%yTSVHxxa<U)5I}ZxSBsd<|A1#<w
zvI|K2=Ygi93&|&b{ivrFs?@f~flhGCCaOF(iE!RPTQ$Ghf{2CFdF7|mfZC_V0DgQx
z<T$H<7kw*v_Z^<{FYP-<G;^{cL;)R~V4fd%baJ-!BlpF`VM!;uF{%P`WO+w^MDKi}
zWN$HHVM&09;h8|^d4%nx8$H1NCZqXANVRjvRGN3|?Ez=g85Cg~x0_$3v66qd{~^9p
zFC$*s+9AACpSAf!t2GWQPEB!^+bwreBb!{G48?y9`=tGnc+(X)N2Pb+PhK#A-$*=x
zU-?l}aUW7GBAqYZKF?}R$Oy~!J5(&6b@c6cCvvKFz{E1E8wvZZ2Dxsv^c<xte-)XN
z6`s_I3=FaCC7o?0FBc4$XLaD$U5exV3tSZQ#ig&GbrZuptIeeotdk#{vzGIHw((T(
z$dCW0zuNL6%5iyJ`^$_COpiFu`k(gS!1sRxf!g+$mh8R`kMi%{U)J0gRnHsa{Sc-<
zz7LA?V8#%DhoYcAd)_!s3IA%!%L;hD`W7p<)bDa_eo^^-+q(Rs*ER-6yicv)sMf#H
z*X9>p+4r?EBL7z2_#oSFRW8$WUG}?sJHv<l1lG5K)(-?~vtJJD*Dwly_qwi}H-5W=
z=?Uk9P4k(u>n?_3|C-I(H|A5ecdT!Hp*7<pOU2M}-WbP47%%1WkH<?lJs6DZikBw-
ztCs@X6}Fe0yzh69{a*ON@AK8S*4pAD<#}1x`ckr+K@Q_w-*Bw&<E?Fd@n!uw#^>)|
zUuycr>ib6Q4>A35KlqS+-l!2Cih};^`$mxx{?(M174UqGJEYuFzsoi4s``3c^E(g>
zUTs;}e%#JHdNU$^uJ1zB#H0E=!{f&E$HxznnDNK5NHXMSn`brgsBRw^2Ymltx%}h!
zxb9~V`MKWz(u%3zdu}lRz|{+QTsq?{d9>E?!O*ef@Z)XBbB{*@$3YsPkJG4*S4{o*
zn(KxTYLnH$=(C|9?nF2*X}B60eJ2Qvntg?Dx5XapTrj0ee7`^V<tvu)kKOr|Fyrsy
z0nH_RJHZMvJC7h2&vyqeep#f*$6wb=2X`yF0Pcy$q^INx(B9RWaJun<JXe)V&R=Xq
z_WolskmD6)Me&^WZ?j!;YdZgI@87_%579tnO$^yDo<rszSj_92+LRczA<+7SPO@{K
zsE*bhUrp!7AFm=_jYuRWUoZ#zOCAzMGduC)$t#Nc1)cRZ_-lJ+SRu^=#9-g!#4huA
zBDtR#P**VkHrWG+>&JFD$oqXhzJ)^1{edKyqC1Zm{d_Cm+jS%H>Y_TZshmipy#>xH
zdS@)2s_x?J&(q=!S8WQ?OEn2WQ!73s_#g;ABCJAY5y4AaD(+3#2PHYm<zDOB$Pt|}
z1pQX5Cfr`V1x^P2K+H8mr{>yPL~Q3-Hi;|kiHlY79eRb_22;;(2Hlqhfvr2{kinZN
zvirw*VA{Ojo#b*Z4eCO0CL7t!xit^8-<m;edewq>F)9KqAL0ovg}x#@<Gb_Zd`EMd
zDf&+txQ7@ibO#2VuM*AuNDy~>I5=PGL(GYU3VF}G4HV<`8a5o{FU=rkH@m>M*D4~s
zuC@U-b2EuiTDA(l-!E?E*%o&sZg<Kf0MCecac-R5sBL$MR?T)2!;A9xSr$T~Tz60B
zQ)c&hf9UOSKGJh4|I<=c!tvQ0{*k6>V1ADt;LP6sMCHke3cZ4toKVoSPO}JJY%=(i
z{+i$Zp*=bN`9knv(Omwa*ayVQQ~hl+G<5kcqjx#kkh%Pbo|VK9&tZhs>=H0IFcSz0
zXA$1n3lwq&n`(d!HmjYdn7;!=%O)gs{|fKruCZjrP!8E?K`G%D8~~iBJ?w1IBHp<*
z;pp@+X`l0$=MTZVb>l!I(Iqlyv>ExKw+26Dy$v`wgY0rCWGfLEeWJ^w@<Tv9?llpn
zbBK@5js+t;qd-Z|D#GV}r2=Ok<7nQ&q9E(6_FlxZ&WS*xY5_V==aRoK-wdQt@A;1t
zb}0CC`lRt=&T+sLi_KujjTiifqYm14Xtf=b&tC)<Zq6dY`|Ti7eG{$15|8i)RCWUa
zRym+#)hj;tcd`B1`+dkgsygJNz`kHvnl(7E_k3p}lH|WW7i1qDS4e~j1Bktoh7wDS
zoyoQS2xPTbL+sEtQs5H!+8+pe`|#fmT|@4BxC_KgpGf?%EQLJRa{w7?b^+WmoJ-8K
zFtc<Ye}kV`oIotrbppXp()pGvUh#Z7$C1lc8Izl-!Qjuyr3yPij<*zY2fP~rB&VAJ
zQ-_7bXqCC(f?5*jVDlT%CHb23m}hG&AM6$K*DgzP*s#WjH}maru%LWAQDM87yu79e
z4ER*VGgI>iqx<*k(%khj(Rt1y{>po;$in$fV7OyT{>-Z1!2pNt;N|A#Kx<ZS!n#kH
z;y#<)t{Z+02s9w@-y={n9;zN6;y4J?ACG^Y{;zoNqb45J<3o%C&eJKEe;l9OmCV)r
zxt{Z^iAQz&z&K#~<Ky4W?jP#PS61I&{P#29Ka)@skLvb;alm;C<?@f?qdSk$v@U!m
e{$~UFFS%>tQQbZ;4w(M<_;>eVRQ<X0IR6jhkdP+;

literal 0
HcmV?d00001

diff --git a/linear_regression/keras_metadata.pb b/linear_regression/keras_metadata.pb
deleted file mode 100644
index a412059..0000000
--- a/linear_regression/keras_metadata.pb
+++ /dev/null
@@ -1,8 +0,0 @@
-
-È+root"_tf_keras_sequential*£+{"name": "sequential", "trainable": true, "expects_training_arg": true, "dtype": "float32", "batch_input_shape": null, "must_restore_from_config": false, "class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}}, {"class_name": "Normalization", "config": {"name": "normalization", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "dtype": "float32", "axis": {"class_name": "__tuple__", "items": [-1]}}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 30, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 25, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}, "shared_object_id": 14, "build_input_shape": {"class_name": "TensorShape", "items": [null, 3]}, "is_graph_network": true, "save_spec": {"class_name": "TypeSpec", "type_spec": "tf.TensorSpec", "serialized": [{"class_name": "TensorShape", "items": [null, 3]}, "float32", "input_1"]}, "keras_version": "2.5.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "dtype": "float32", "sparse": false, "ragged": false, "name": "input_1"}, "shared_object_id": 0}, {"class_name": "Normalization", "config": {"name": "normalization", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "dtype": "float32", "axis": {"class_name": "__tuple__", "items": [-1]}}, "shared_object_id": 1}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 30, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 2}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 3}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 4}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 5}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 6}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 7}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 25, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 8}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 9}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 10}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 11}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 12}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 13}]}}, "training_config": {"loss": "mean_absolute_error", "metrics": null, "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}2


-¬
root.layer_with_weights-0"_tf_keras_layer*õ{"name": "normalization", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "stateful": true, "must_restore_from_config": true, "class_name": "Normalization", "config": {"name": "normalization", "trainable": true, "batch_input_shape": {"class_name": "__tuple__", "items": [null, 3]}, "dtype": "float32", "axis": {"class_name": "__tuple__", "items": [-1]}}, "shared_object_id": 1, "build_input_shape": [null, 3]}2


-¿root.layer_with_weights-1"_tf_keras_layer*ˆ{"name": "dense", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 30, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 2}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 3}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 4, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 3}}, "shared_object_id": 15}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 3]}}2


-Åroot.layer_with_weights-2"_tf_keras_layer*Ž{"name": "dense_1", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 10, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 5}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 6}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 7, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 30}}, "shared_object_id": 16}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 30]}}2


-Æroot.layer_with_weights-3"_tf_keras_layer*�{"name": "dense_2", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 25, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 8}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 9}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 10, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 10}}, "shared_object_id": 17}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 10]}}2


-Éroot.layer_with_weights-4"_tf_keras_layer*’{"name": "dense_3", "trainable": true, "expects_training_arg": false, "dtype": "float32", "batch_input_shape": null, "stateful": false, "must_restore_from_config": false, "class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 1, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}, "shared_object_id": 11}, "bias_initializer": {"class_name": "Zeros", "config": {}, "shared_object_id": 12}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}, "shared_object_id": 13, "input_spec": {"class_name": "InputSpec", "config": {"dtype": null, "shape": null, "ndim": null, "max_ndim": null, "min_ndim": 2, "axes": {"-1": 25}}, "shared_object_id": 18}, "build_input_shape": {"class_name": "TensorShape", "items": [null, 25]}}2


-¹
Jroot.keras_api.metrics.0"_tf_keras_metric*‚
{"class_name": "Mean", "name": "loss", "dtype": "float32", "config": {"name": "loss", "dtype": "float32"}, "shared_object_id": 19}2


\ No newline at end of file
diff --git a/linear_regression/saved_model.pb b/linear_regression/saved_model.pb
deleted file mode 100644
index 375bc469461c15f04b1f6882f3fb078056cbc346..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 138849
zcmeIbZEze(mKcUY<D-!TNgzp(K!OBG@EbEEx~uWMd%Ht$IYZ8pLmtTCe%-RK2^7g5
zHoCFh4UnAG>SKT0$Lc;pd(ug_agt6rTX(nTvqG{?cG&BctdM0%)~$4k^G8@-hvVc3
zSt~`XPYU^$BhD|YDyuT9US?G{njCNkGckkes?3)!-$&-lmoHytE&4CNlO<mtqW|n5
zStdhQ8jbSf>itr^TzXh>Zg0>*lC3+9+Gc&#89hu7klw9QWz(7LU2DGBa3=Q??}7I4
zpFd++<WG|R<#MTUWo?ZTQP{di2T0FDcs*&|WBW*7ZL_(t*@PdHCkcFXD=&?ZL-w%M
zo$2ZA%MR=t+<#!09y)S#@)Fs%R%(`tk81VxQj_*In)Pz^G3%o}?_K}g)ujVu(0hXa
zU%mc0vOs#T)~byrI~X+M<9g6XhxRp{YNJ+<AWtrn?2R?2+AKF;aMa6H4@DK<fdF6f
z71DRB)V#G>p?$<EL1*~ihrEY_q<^DcTiaZ9yLgoBYt~EE#zw8-6ic+{VXanS-50th
zl@AY<4*^jI39+*W4gpyPvXp#^^xrByFRyQ|^R}M*ZNA`b!tW2^@8o!Z;L;E|U=Q-T
zeZ851p5Y@$i9_fur~cTvZ(n`ltUleSm8;DLJxUI(20x1%b>~s}xziZ!r$-1~a~jQZ
zwbU%vs{WVJerV(1np1I_PO(;5E3TF6jR1Lz%RnFLd9QYRgWMuLcS@^IL2CM3sp0IO
zvffiEI!LVdXa*3uVCAgIkiL@#Ne}e3;eKP?qg~`G*>|T>T6La4t4=-6U{x3=50l=;
zlhTGmy+5pHse9BSZ;=BlPH9ai;VfCg-y;10q4JsXmX-;}Lncr%WFO#6=;<5o%^W$(
z*?5igtT>fTx}RhpIi=<%C>Uqq5ZPB+ZI-uOYV$Xf$3i&6<e<IZ(~f}y!=M=Z$d@=G
zUKc^9e4z%(0YP`)PWIh%|ElzsD9ngo!qY(3oy#l%?`#k@QX>NZyjiP*uz))Bd13)V
zF+>Kvri#_lx+^A!$&lMlu~c0vHY(*+{+11sey?1^?sEr=#^fmRpD3x68_f%R%(%$e
z&V{Bz`tFvt+H8%s+S;d~H4x#|CNN=OwN_m#a}ggUoTXfA`Co@KMH#I^+L7zz;N2&s
z`kJ%$cDdqkQt+YjVX5Ih1Dyt3F4WgXGa&z@y18BiBGuO#qZt?<vXA^qqy6L(>ACxr
zI*e?dMsrQ(8a+7@GM|vF-N%Ipgy*{!IeNEQYC4ZLD|bqD7_I<uXYFdKQla}mW$KR`
zcIIBW3X<%Pvv$ut7;q;K5&l{wJt&F$G4dAr`H1#B+N`cZfj%J5qw?cm<n5+ilZ*^{
zZ(&fVHEYVZakAfe?yPQt>=ZeN<&T`vZ;`_s|MKdJ^VoU*_GYC5!|3W0PB3@O1=#_4
z^QMSVG6|gBC^ef-y($2a_XxS`&I0ek00s=~bL)Z7@xdjm+drv}El0^f!`Ud+OMsbx
z#h^FjlO%I@^Pyk>|EmnCT5SehhC%h0EwT@Wlj|V;e8%M54QEUk<hgh?OXaGgG&(s(
z_Hlu5)?7W3@rg`KlQ1Mf$zULxJWUP)vun?w>YB5~)r}6i`s7WG7g;yy0zyyrHk|sF
zGc{mep1qvARA0^8Y)d@nE*0i3J<hG=7jm;DXU)kiSoGKazdrJlq-WhJRjJ&gsUze-
z(c=e~;SFf7hjcG>P3;r2e|OHB5~B|7Tk4_R+04{Pq=VFjOuj%yc?;8g6n6h74aJe6
znYlHlSgiRh5sk<wkS8R&#VwcWs?&)ML^wof0G*V`G0{@0js!K+cjf`<U9D|an=SWb
zfb+!@7|x_4DjWK#2bO$}jJfbr;qTQ+BM1YeNe01;YB<wRL1!HplqBUy1Hqa)B=9Fo
zSuRTO-^A2$wI2tl(h6B8C*@XC^-6&-H4zgtFuo)N6j7@X;x)&u+BUiv(Uys+akYDc
zRDut7+eFw}s;)`34I($8s4#g>4!F$}^Bv>e1n`bbolrYBL?i8hEj_8WoT`%%C<YFC
zXeb=q@Wm85+Zi4borwA^kg_kL{_j*>^hDIJVc;auaMJD=Ckb$JOv_2pPRL2|CRI0m
zPKr7PPI_qIoU}W{$uTV_y%s`FdcRY3(dVRB!@$Wg4JQj7<K!4{($aELv=eetyh+tf
zpOd1Ffs-B@I427o;-sbJq}M{oN$+>6F8ZAGY8W_ashoU72Cl4?)~Cy0%eFjYL?(5n
z4ygNR2$~eh@t~bl{R!))nVtv82V|eyz(WVzGWnLf;*uq_PmZZw*-vHQWR;wd+Dg?O
zxqg}sS!##um)Rj(?U3DShwOA6dP0axwKZq8^kS#|iCZQiY%qi;!e6O+BVm@VGtUWi
zo2WRYdKFxMMOeVKW8cF_6H47_Rq75?qzxDW&&69#)ky?ey3T^t->fxD?O4r9|Ke7^
z3zl2`?nA0xc&Ma9{2}RgmlHc55Jpwj3{U|W9A4vo8>!G2_0o0V>lQiWi*mSlnO<*0
zd(h>}8MRj<6l;upm7GU#NYz^mo?-U&7FEjZ`ym;Y8s|oFTiuT>Z6?*OAENPQNQ0b>
zwVkTlaae{KIkMjQDT|DRt%8y5tytUYb%g2Og5#Xp^P?1Rj{GTd5yc}F1#p-K)+39d
zKPk(;Sf8{b`w`}oDU;j>4UuQE+y}2ybzhSEprSzpA`7L62#5tpCq%$osTf5dY%U@K
z;fGW-kVPP@Y7hZr6{U)Rzp&|m2#lFUKr|E)0r5Ij_hk_f6%8T~Sz$#)K&)IkAp+hK
z$0!0}a}f~;Kcu38ECOLwg9sqYFI5Em6;TI7z%q+~Xec5A;&rO-%OW5u8blznG{fiq
ztyeksZ{c(QR;#@ibJ&)F_37sRcDf%K{wJoA=l(5h?oZe4*xbKmV0p^9znxz1VD8_F
zXnkOVq@#eW^<h;5>(kEt?T{hD{B(2wRz&MPZ|ros?#o&)DjGx}<=o#+-y<T>%G@6n
zfnWkpM*~>|!m0)lNIUnpLxzY5q?`MrBH&Nq>AEkAfT(B?fs}K9JAIFcKr3^9R0M(v
zJRJ>W5eTaqL?G?l-wqifB9LzGkBWdlg{SMjECQmUK?EXm|DYGF1mR;mWa&4i{rEBJ
zg^^9}pZ50Hm#*G<e<_#7mC!%+hnGdD+5dWZ`G2~c?WbMK-@8oyb~hQ#TJ&(G^unnZ
zpOu?WiqD+#<0s9=r5xD@U;5oI@MARFjTXy8v2IZ;55+QQF&m0yL@^tR^`ONHP^?E3
zD?qVcwAc(3>lMXj$o^~}9jI+I%j@M2ojMtV-i_3q$D0+{dH>K06sy!44W~hlX0!AV
zguX%i7{n45-3@biXaI--Iw1cfbO4s#rAD!|Q6>kn`zYa2h+bqA`7;*0g8k6qQ^(mT
z@{lkxl-*AUix4}pxe6h5{LM)A03DX!6xU0Qr{r+<ARQ_`tk+6wtEEQM3tu4F?2sRf
zFqj>dcJ(2iL+p<4&mNL-0*7k$FzxgF15kei0^Yzs0=++?@BL9-??=_%k40NzQcL4O
zOULvr9oMxqp|*4)+R{m>rBgvmllqoU>smUawsbby(mAQ6^Fd1&^etV~wKS!+^oHEh
zKevE6Z_*yV#{w+7MEkr=3V6QkKigy=J576C*Eku@=IDOKvCR5`(boFtZFm^r4|m{!
z@rNIWhjIR}0uLwo!(Dhd#UJj$!#V!&K0KV~5BK2#;B1Y44jur`*68Qq0pM(negPf;
z&erG`;Q`=mjeZFp0M6FvPrw7f*&6*aJOG@n(Fdf9hqQ87IrsyR^6&@X*zgCS6yOiQ
zn1Me4VHW;C{W<spwdWyFsux7vtvT$~q+U$`$7=#OUK7CangEX11aR~42f*=$0o)?#
z1908>9Qhp!D3%9`xg*%R13_4;4RRuD({b+=J`fnji1BQJ9<4%fDK<`M2N05-p?z+P
z4H%qeX}>@vGO~05^}K)Iqc_Qc`&U+OTv@((t$6>+&G)Z)LjarcFjt4;X*Wda@|An{
zR&Ff6fA8AeX|*o7Pw&Ox1wlS+0fiYv3>o0wq3^}udcikr76t0X@E9O=k<ZinF_=o|
z3!6hg2g?Zq?0a-223d+cL22vT=?17>1R~xPiI4tv<!~-8hx18ts2#1xvkN9U)C}b$
zyC})wk}QYH82?53`52ud!7C^a0(;&-Eld)Xs1cM4zNu`0>u~{w20re<(2#ezBL8-|
z@QFAVKAFS??MybF{V@|4G}9c(eoErPr)4fE^PhnWg3u@z0+ZT6Edv)kQlnh(tyKeD
zj|(s)b1uM;>~TT<?Q-F*I2W!YaX~xFk7t)nT+o;RBzslj!e?YID7Jxt3xd!n7iNTK
z%Rnsy7d%p<T$pi#O{NWSJubjh$hiPBtH%ZTx66fVaW1@_#09MdG@gCO#08CcM6%Z<
zF5Hm0px8~<>D#dpDU1VQ7Xt&|4OcPI<|chN21yRVU~h!5JY#GJ(CipA+XU@hdOe1l
z6o0^`LeyM)&;$#UTV$J`*&$5Dur$HuHp&Qy7GkTNhS!!Sc-@`}m+?%v9?yj9<tAJ|
z6nd8z66Q|Q-x)B1KTEy+eR#YXE_-gN*7bX`b$y%OijmWU!DfQ>8<<Y6SvZ}W_96`o
zdiCS<b_}4{wZ}mwnmgQ7_^d~-o19(;VYR9B>8tcbtWC*-AV!&Wwqi7jZr{0g<JOHY
zURx>Ny?OiIbjb8|6QiHe%~<0xFZMcvV@@#_fv}s}YxryQtFeY<w^3m2;r$l#<MieB
zntwr`#hRCh9&FsAJr}l0drc?xJm?zUb1^5qte*Rw!+9?3gO}6uplf)~!wI*&=975t
zcMk8ln3LOUI;D<pwX5S>JJ#_nRMHc5+}LoEqz5{V_d8Goy^b53PvW=Oph0_{sN=?_
zlX@O>4exoN2rsGUe&=wWC+hf)dLDEQ?|BLxH#VQdbH8(V&l7dr*z||wC_mrE147rF
zN2Se5v*;cJ<N=7%G2yB6v12`O(0pl_?#uqM_{V~P_>2;)J#|b3i(*B|Kg#IOVCoKM
zG99|!DK{2+k5u1`>`#gM4Agag<PZh(zk1TgB7ynhtH&YO*KiMqg0*DtvknLUOzrp2
zhxU?;ZSiROqs7%)g&&+PZ#m#&ua+LeUPgJXLE+G0T3TCEZxRO1`qEmlR;|2%CojQ(
z$G`@hmmOrpJL}w^9UxPeBBxD{({V6)Gq58wWbuc0;GxUzez$AE`nuIM^#(t^dT!+m
znJfatM^4>=1A)b0N1^zvUfS3ItQQw%76}-j4LEjOFNzbns`R8d`q<AUCx|R2zdA_9
zH0N_cG_}$Z!GdWINiyTfL#98}#}W_7v4m4*EX5%$zZGH8A*VbAlweTC%6PaI{gD$Z
z;o}kva99~1ia!crCCo=9SkmDGxd0l>&l1ApS;`1=rVra@rl4q+HlCQJi@#;*16Adw
zg*dEZ;Y<q5Kq~N}Qg?)K;00wo0~x`K$}oLVNh~OqiRcb>oR)Yo8OP8#LrEm#C=4mI
zpbRshCEmOYQ<x};Faug9!xWQ03e($OpPKgOoeSigeWu^C1}y)d;6c3b{`RXAQh(Bf
zq#M3Z8s{HAm9;qMoab}S<jP4hA<sE{S8ElH>GK(;n9tdT1@gl_{q$g`pB~(k@siEp
z?-6|jrUM&rL)ZC^D^vV_(hr--UN_8Z=DU#s=a1wZ5URG$5KoE5hapuDh8`xD4OC;D
z$z^>tSXashBCnPeLxl`L;JOvZbxVO6s=HiW;Hs7laNSbM3YAsh2Dqwag(^;6_Vn#M
zIcuNp56nF6!){f#DXwm3S5A{tn7V;I$rIOr#ua9B^zZ+_z2pZ2<llCai*n(H^Oa4W
z?Wt5Ldfv8GNUBkMR4p#f&%hZ#((kV(MlCu*`ZudjtF>p<(ZfqwaL2j{E+B8xfd9If
zQ$CD`AM)^F5NZT@4CGq2RBHlk+5lWZs^vy(%C%;sT12ijE7fv?{N!45Qmrw$*1S~9
zjSG`&El9O2p4p@f$MkuItWln`XWP=6v)^xLg(OJM1i4v2kzDwg4<GIDu@FAagpae~
z<6QVSA3iSpNUeNsakaR<@;3QQvZV85O?3y7PgP+>=jT7-y5Poc6&L3gXY4WUDwq8N
z1lk1I(t;;;QnT_|^3umF<=E&0O_8a7p6`ffl1aH@hY*+$hsooiY|>$YS<vj%1v0|B
z2^n%AD;rN{#*^|m&ztlh-T(9&U&O9Ju9fn-Gqpta`;G*6P1m3o$$7+Gu+$a**S56;
z)6VQmcd}g&o07868FGpoE^dP3quAJRR?CmdB7YDZlk^8H^2`0?&s*fYECOC~jY4Fk
z%jaN(<jKAK{7DualSeu+ZpB6gd9-V3RQRLr)(OOX?65&$>VP+$!Ty(>0k?%ZU3Jb~
zamHvaLdrDOZFRS5GQP`|_1el+awUON37R@Pm-~2X>Qq!yVZ4fK>KND4wlwoLXy#|r
zYUUU@snN_V^(C16oAcza^>$`#R<!mL<WiMq$E=6|Trhxmo-WtLCgN;s8-brqn$$D&
z$H+8ZIiITfF+UL!%oy{s+2WotqNCDRZk`C^X@X7!>34WdZfA($#xr;z!<?TH2)-}K
zBMu4c+Wec`s%Q2Db=~iByJKP90<SB#>kV^3UH*MhZWkNrj=MNcYo@eq>xAEj#1eL5
ziGsew8HItc+;+L|F1zmsnOwK6b7(PGb8yF4Sdjf4i==``qv_gOlR`s?zUqv(&!xkM
z{aK5QqkWwA+_S#VL7z{qTiyi7fOEmic1sU0QwXT%R)6<o*6Ql&%D{j2abs(oj3X#E
zRHW@>Z=&BL{8(~xr-JFEVT#+g(9#LaD1AONcfZ3vszHx^$08|3B_;u_4khVj06at}
zvEt(UixxSqEBaF8;6y@ujHm3>U=+&2Wlag4G-%1ut~|i(sX>ALG{k+Y-x`oFlPAp#
ztg{LAyFUgYVwu*`wGSa}vab@VHsq#GbrYzvlj;{Ag<>8-B1tz6W6iK<Q40CVn5SR(
zr-jlS53(RJra!C<E)#GKbWQdAg}?hh7q|_lb|8Sxel<3fh&0e5A2d6n*5zbbdI5t*
zgeU>bHi!}%FnnO_FUQb>WtOuB36e#oWEL3-L41}z1nkCCtbKs|Q_IW2OngA|v0&fK
z5c5Q>U7bY{^dY*qdmFQ0CCnFC_&ob+)+7^fq~5fJ+UA<%I$x7qUAaO&9bc13Ub3VW
z3AnmpP&C>`?6)!`$vV=r<(v_AAlqV-JI}eaApcs(y&698L(ngQPo}kFUS8!Vamt>z
zPbKn!{dT}Bt(~gp)rABbIL0l{su$eyZ1`8hEq-446?4mOg<CT-A-A-gkhrB?GbD0L
z3q8gyZyhDL<*k}t4Y&Bw;#bTq#e<flTi}-obW6(#_Ak0aFD4B=slL`|>xF!ncwih1
z*-7s^7|NPuYEVMU^q_<m9d`DCI+f##P<9?K7PI18p8j{CH~3QtQy?|ZkoI!oz)X{7
z&=7`}w*rQ?KnO$2eE~yTz`mJo2~Ra^T-8Hi-$}a|q}o-I3UR3=UtcDLukT+EkRPPp
zaa@?6Q5<@E8;;!9f;rr@8;<{bI~$IMt%Y!laBsg+8)@0W{l?k3`H$x=#;e|M?D$C6
zsa*|_0A&!|9lIK{`FIFNxT`Un=erO1uEwk_?=Hl5HD(L)?t;3jF*_3v<_LBsU_~@L
z!^1X2yXvmS?3|2od{<+3PR1D<WX*QT-mZpeZ!Nt?dv8}`)7jhANNJ$5y<H91&<+;8
z;qoxalOOY{2ipRByBgDcmtb#KBeFNKx2pm7lrDnZ6YOe$mGf#mdV9MX{OSRXn=Tmq
zgs&BLHNeJ{e--w2HJk>g%I@6N0IObb%d_EMjaKdLYB1lMuJv)obPM(|U>zm6<^Fm_
zW8mJd#%2?i1$(<1JW6YCR|C7}INXuYDzw;<&=v?`Xg4hc3~hmr->$|VzDa(+n;esa
zLrQC<4M?opgxtLOT&^&~ufgVr0r@S<qlfw3*Wy<(KRQCslJU|SKY3DG!y}V>AUSXs
z6g#RfBK%$%dY+6$irHwCvwK)+=t_ep0SF^qw=EidRm@{A?QQGe4ZlzCIL-Iq;K;TW
ziGJO-hSWVJ4l4Qz08!|EB&Lu31B*oA)94EpP!;Zq?JKTUN{t3wdk*JUDz(+6w*-;X
zo}S4}og@3zOPw`&F-FLsUyk4A-JotNh;AF2j*x^kNY7QsvP|9ovtyCZORKf@4Y;bj
z+H6307a={LX*9h9Kk$6FzRI7wQ=@M~gcEO!eZwLX>$P<b*2~)JriFIT_>|#T6Tclh
zG45AM37&x{K0iQj|1wXc?e0Y_SzR`q?lrf>{+vYy<s!7_7Tk5svK&)49PhmRbvlM>
zV27l3aKOFWkUJZcZ>_uzNjNT8He}C`8)1Kf92URtHftO2)Jtn+pcWmJf3Xo!hG)KQ
z9S!>k-U|Ec78w(u?|x;IUwHnR@*_Vf2OW;Rl4x~2s3)O~pq4tKbliXn`=&)EMT73h
z1W7~U4C<IHL3Wbl*4W>&$WXMHFH<3PqEvOG6W@qdi}wW~Wr8;?E^IW8AN$iVnu*qd
zzmD^vL;L-QL^;z3=kpuo2OAzdPugK5VxX2V5=EM0KLY{Fk#~@MB|svONWo}?6m1{^
z5zDbg*?rP`mv0zQ?@uV-p^EF9>V_3!7DnG9A9`VY9I)Z2n+uLr$<RBc<`buW-=6OD
zKnGln!e&27_6P5H%6*{;x)cl2)q<HRDn`_S<$f4ZyZC4dxrP*g?6=`esdz(!Cw9Q?
zZ@?ioCd!Czho6oFpE!oWdw#0po{MvLF2gB$PY{g%-cS1PZItRIK78f|4Er~(F)mtQ
zpI0x6Fx68}mFQ*{;Otd?LKPtQ+^N^rsQZ65ELse@!w$IRg5N@r26W-)e6HjWVJbkZ
zkJup&lYypdLhj;#4dL^Ml~W`ccuRY)tgYR**?x{u&<Doi6~w`p<o>}x0M*&&NFSeQ
zLDN0cKy5-}a_Fg+72w#9`%ktHxF1?`gVb>=CK;p+!$N;7NS=7uyM}`IZ1ZQ)e@jPv
zdmsSD?m{lA&4<&^TToBzL_$~BpZ+u-Yg}0DHp#$)ci`iI`zmDIJ}D+X8B^dC)Mrf+
zv7Tc>s5Ac!dKNh~HWY0G<Ri1bS)rL*n-z9MHP(f!v3@{LJ%6AdoijFc2OzQ%>4iTa
zcP{AB$Rv<ND^ml&0v9s7LwZ5zpb1}n`r)-Z(GR%a)1wR!T|n$PiLOraFM$g%m8g_1
z=2_8|D^9MvAPb|>?*T6cTtr*y8gLI9043O{J=^iI9603n7FPln77PLzc%Yd(wP$R=
zZO5hm0rzXb<4^@mYz4W2YV5-paqJii^b6edst{*_&6&W-YYTyjvcV46&=07#!~_>E
zgUd&_Xxg4qxV*GoinXR<z6Q7mbE*S8S8B9M)~3|hFg);{LMZZ1k8`<l17ore4FGcy
z;_`k+$c{&eA-_b6(&LFF$oZ<r!-C);ix5RR`^E;`wp!+6fvtFaEJ%DTxO~J%ev{by
zymVo5A(;_~yMvfV6Zg?=Ae|}!OcxaUbyzD!-8nS&hUq327Rn7f_&^<#*l^@UF+X)U
zmRFRg4U?>1%LcWJBE<fZ1=ra}{7@hn@q&82_b{Dtc@RU)PJ<ZOXK@_Zw=mRf1T~X^
z$b@ag4m|+AL_A%|$hpR23^}`n1TM#;X(0v)33IjBXW~qWchSCpQHUZ`LrdC7N!y-`
zdCX!?K5#K57)Bg_RXDlyMBgB#fRT|>Hpe~ABZ|CRx&XN_z-6IHaY1O{oLqVfj<kM~
zXjX-3AdqkN6L7|ym7UDq5i;onBIM};Z}Uuw>@{8@3QexAiB@u2{qVKSUbE|CDj-5j
z6Y;PcvP@0bFD1)Vy4*FHSChLY&3TsJB;=1Q@|IC4%?IK@UuV^0E;;b0mzvy2tUJ2x
zAdwZuQ{zkI1iyEYPx$&OVtWWv?jy@k{Yq?J+O|e+m72FUE0Ot%{X86PN591E^n|V$
zZexvK$IXwjqpiXgOP}|F`hSB249C$5!iW!Tsg&OG2^-uW9!U0c7SYfxMujBy7}hN6
z1>N?ju1y9Pg7*7tq~d`MdAKfZfL94pyzvMEoYgy^2$=LfOzxvwaVneC{XZM>Un6#W
zYI1{*jzeUB5znkg`NyRa&%5qkvI=`>?C1l$i|oh)R2bS2f{%Rg%jv{`YDCh$tkE5c
zt5oNY{{6f2WV;h-zUJo_)jXuT<3!B-tbDE|n&)eNPCnJ5=J}d;Po9VoJ$@o)eooHS
zrJjhHpOagS=lPnSm)liO#LO$1$>Jws=I7;h_fEt_Cc)SsznACB&9UTV72C`6RRvqj
zB}h@5GSD#XN4)lXdA|5%>9;q8nZmROgj|v%7DvJ!emu`qcp`>xo2zLYz~k!qTSazR
zwwLG&_GooGaf<(MFVR<Z8sx|IQ~oF<`U1lzI1&S9&Z`OD-}UaB-InMJj7$->4+mtx
zq<l4e+Dr5$4q0gP3<YzQ;13*v0kdBIHUEmVYVSyl;FdN(KE^FL1Op2x!7caKE7GmK
zBQbkNV%)nL_m0Hq4u^)vS+oi*j<aYBgfO%xUIYwnfn9$j<`rJIp`>>7HY^uXY*@yw
z?ok|Dt!!Anp4V->26OZ7-m)C~D7P%#P>Yv;-3IA+3ckffCHvG~3ckG*e6Pc0#~n<;
zw|C`N(e<gm^eewQo`Uapuap07f6~>X^dQ;CFS#ym)SXA==cE1fG&#X<Cf%}&{Lr5p
zQ4tBNfXffhlhb}7aac-I@C-TW7hJ8uU215l0s00x@0apox}G}qs^bNK#M{0|&MJi;
zLhuF(*P@rmMWtxIXoMU^BVTL*w%r<RyA{}l)?gP*urH7^K26||_Ii;Y5k{#uK&Qw#
zx#UBqS@Jh?;!MHH@>ADvo4Xp51HuzB(8XZQSuOGF-m#*2a!E#^;*{#ua`kZ$4w8Ep
zS;e7;64$IX;qF2l@HsN+1NP+7+oXy^v&m%{0YyC5HL!E!&3GMGl5{m@NG@I@5LR6+
z6gOXHb#>5|0@2mgLR<1BSXT#aDG+2`Ewm+Ho?EKpEBaQ;Jkr%b`xEd;R}1Zr&m&zO
zw55PYx>{&UK96*D(3S!o>1v@Z`8?9q8G=)~-mKzYxH;O-cn%0qCw^}%<bddRlQGa+
zPW`cS-@f|9S$(=uE5q@9p5yQ^4+Sl+t~igK=WlOTDiFuC`h=oynLL|K?w?+Bw&1k?
z($zcfFHLFp=fJGrC^caqtWpSCe$Xf^O;2B*;-}ZKhWP;t_pGIVnl5cC(kXy`Kt;+X
z&`-OTdoROr(<VPy<em4dkbd_80=d06Z8bA4nxV@>S>6mOHl6j2X}2wiT=SdYm!$RG
zbt=wkllp(zajfs5|2J~nlnwcyf)Y`D{VT|L*AEoc91}gH8*XES&_WLdI0#7YHtR6X
zzY8KjrDuh^?4VcN)Z%-zd$e2IBAfvT+hJcMq`JAzt-bo%P7g9$Hoy*{u|Gvd?sB-!
z+S_1kRZHs*j}xiGxmTBLDy?!lgyoH7{P;A4h@$QAj0*=NUug6NI}}nQAS#=PRPzuI
zzaI*_8N5u{AAU$b0-gPtL*&q17%AWYd(){lYV{(gmf%Meu>M@pX_;94Q@<1(Hvd_=
z{8JQkfv;pwFVA?#2cDIiPm0f+^5ZAX#-*H>GUW1=d-qmuEWdy6+TH2<S5|IZS-yF#
zc>l`H_pdE4ptXc4JZ-2si`H~)5L2}|q*`!WyrDU)d--W@i?rHWaNm53t@#(y8){*F
z3vR48)WiDbUukcsg|#*_?O6*ZnqaNXBvSHXZ3FI)E`R9Mr@5hRYT%8qsAp-nQrI>X
zo(dtmwzjFP9hOy$ZBv~YpdKv2N*iTR92mD(8`HUI*Z6L^R-z)T7!~36oqIQK-T30Q
zmEzr-x9?4deOWhQatDR!DM@<}F)Tv`Y7ZucrBJT+AYxdCiq{@Y3`?Pu?Low_3>CIL
zm>8BqncIViVHpn4T9{iMmrEl=49gU9X@rT<GEpv#5HT!M$fXe`hGn8$8X;m>rjSb`
zObp9JximsNR=j%s+SSkAxqaikd#(X<d->gKSML?yS-EoOx(&(Q5L=6V53Z*5-#6TA
z4fq+ZMny`S*0vq?1+gHxv;1CQgmo=<;9vKm7|(EwBF(<NAJ!J`H(1`de;JDyo=e;d
z%1uo;LURluN?_ZvlN!>5C6XMdERFM&B|1)7TBj*X=P+gIou!ec^^VdA%)pC*c;zB6
z^$yYq%)nof3{&qIWvQH^ETuyfDTg{k1ICygp{zA0XdpRS2PjM7{A4XUK3PjnPu8--
z6T`>k?8I6K#1C~PVl9}QoLCEiFs5$7<lMwCGC4N2JV4!Y82)C5CWep6nTfR!@BqgN
zkvfwT6Kf&hLFyJv&P%2^E~674p70}2`qsR>sOQO9`?O^ZSpGl3gLvWn?RULj-pur0
zTjX5a4?4XX_(c7^I&g~g+$pU-HBM#y54_nbiZ^)UxNpo7r$74*hjA=O36T;b_SYa?
zNE~^Jykpbxa#$zBX;tsq&EY9Tc*?nWBdm_zttvx@G$rwR2nl(1TD?P4Iws533Aqt?
zyQLdlhsE2ln^@Z+n{?h&@HYxj#r)(c*||;+g<pbZrv9T9O^NcaEb@O^kX(R!#xnl@
zyOy&27yLKjzL{`;yQehW-^BgxMyI*I$K2oUX-fAuhbRBLQ)oM_-^J6L#CeMe=+ae4
zZ}MrPAvig!Nqe%N%96Bn5;C70BYHn&21;}%lsE<qfRpdI-+bvzwueFz;@DT7;U*;4
z$!xE&l?i~;XN2Q1{UliJrv4CslQqKegyke;^ftj6131J8#}l%X*?mSh*3z-;pn-bF
zvipr+4;a55G=3d2ejPS`rG~F(vWJY6@znKX_OOvMoZ}-#ID+FxjBq%|j~d|!j*lAQ
zaE^}|;Rud1BOD9hj2qzy`W!RD;q*Cfgd^xPVT8l!bHWHm(C4HP4yVs4BOF1WNh2Jt
z5vTRiMLLzKU?D%ZD>D@=%C~67G8HV!cWA1a3Knua=vtqtU?FEq_iw713Knv5t1iQ-
ze0S$UPHtDtRIrej+jW^7)`cTC3wgQSy-WprnF_MqlUWNAPG;ag`#2d_k8k@&yZ15`
zls|N{=0J#$=P}&NRB#lP6o^6T_l1UC)|7}S-Cm{wsuGIds!4m?yERX$UxG{v;o8iP
zm9Y%@!T71S3}4`?!1gZh%<w#EDpB?>@8p+v&M(e}nF<!?U(E^ly-WoyUfu~trZ`Ov
znF_$9d^LR9%TyrFzPFUA0L*&9Ey!B{M*OSc)@yJY@)SAY1<Pws7PH^Zh%(xf!&I9E
zww=p6VId{B<t>|D4Y&3(73^gy*vnJ^^B~-!ph@Z+W*N{97b44mwm=9&Kb-hulD5Fd
zFjK*|3Hc8eS&rv$Rx%YNW^rC@KZ~>H4QnZj^B9uxK$H6QBhBLMc1?~%w{}4m=do9w
z#d%C6!LG~VJjO4}TK1BFcRY*p7{6(4*JW|u1^FO$Sr+Fs*(3gVj{LBnd`2ED8xGt)
z3CGyrsHqo6zFMkOistchadBZ@Ni6YECUKr4XFN-Ny|uLa1#;G_$0OxaCf}zE<eXP2
zUrgPcyUj*t$$3#TeS;)y5YDrw?VmRx1r2)fN9lSv7B*N&-=Mdr6Ex_BBc*E)+wM8$
z5^CBX&?27MZEM{745ujLcN=V56F!x-)sKq;W&m~)0DIaDppXQhpaXD5b^nR|jukj!
ze!o;Nd%1MCEo~BAwII*soC@MzO6<LjrikcFE0Vak(d6#4vG2n90);RzMEN^#ug6By
zPwP`+_m!&~n{aG>FC+F|M(k3>-(jAP-Rc|Jp?b9$vHz+?Og2Dl9!q5(8ulvPARBcF
z2tf%3D}-N&I4FM)E;fp!441AMW~b!}5u-<JM~gUGYbx~>JO@-v*k7@T(Y}gNFP)Wa
zh`)~9fiz)mpZy91_Ijl74Z!d|q$4tkq+5|Z25aoC9ncPLb5}579}wcbknTzHk@As6
zHo;S~3L;)Z=<GkWh}l$)aVq7~#31SJQbm<?kqRB0pQydd{<1|5xM&9@0%;!&yA!$P
z$rmaO%(huZY`7p>MTY$+7D-qW#0Z&orDhO%qEZn8oCR9=vWA~LI2b7s3cg3kfWVUI
z3!Zmc_z6#L5y6LT_+tqmA}K(C+>TX%*kZKuTac7Mv)qdD&L>FHa@n8+h|@Dr0u2@n
zrX*kPM2SENn4ltZ*_p2fqE4qq{jpFD1ZYVObSv8!DSb6a^dA`1AmTX<)If)Wqy|Be
zm>P&a#nm9F(>Y28Y7oE<)xbv7ASl-UOfVLzf!Bhh1{$Y9jCZ~oBsp;mYT!C`)KM%@
z0}U3E8i*26HSjuw&jzASr<iAjY9K&MYM}Ga#7OC@L84d7pazyo$3P8qI7n&`6p5*U
z=u=z`f;yd}WS|BCZ1$ZDdJxT@4uW!l9<bvN+@Vl2Rk36KXWYy<;eCaPK{J6)1O?0h
z0tJl_hY0{;c!_=&7z90w77zdgW1`>BK0v(&(PHQEV(yeEdjMNr3|KEGhxStRAl^lC
zercHQ%ep}W{C{q+r*e+YKT~Ia(!3a;#-)nAWL$+&(-O^oE6F0G6Jp}V1<w9dl6`JA
z-$M*^5-BjyeGf6vh%EIn(0mRt(22CbK=(bwKqK=41I_1MAFt5ytj51V$p2%JPs=-S
zo|vWIe4EYZl+Cxj8>ho_qUt=mcjL6Z>tYoqUS_Pq#IB50n0Pt!?o@Q%g&RCH^RB(i
zVihteZo2q`tK>HZ$O(C*EIzB3Ha48K;(Bcj@~bb-L@$$mn=DB242rcCY+ms+J8r5=
zxRSKC!C%)l>#L4*^f5!PlchvB+S67Fq$^}vg5(YL>uERgz0;kag6!I1kcJ21VGA(}
zS4lorzvb|Sw}_1ZNsk7h7#c}l8X%=Ouj&OgU}z-zCnSc9p=cznk|i{}PzMZ+#Py+s
z1{U>jKBO<Cedfn5aJv&W{$nN470<SHF<MZ&dfK)wAZ1g7)mf+*SdB4?VXHGcF|Zm7
zbK8>iPu<Rjb(gzq8(DvCTavoqHDXIK_P<!Np5wJ5?Zo^HZ4X@r$3x^I>U_&sa!-UT
zZ_1b&P|&5LpA6c7O}A{GWu}gcWO|2}DWnMDd0XUzzmT;@l1W3u><=xtrXv_4aq5RV
z^YckXBa9Ne5iD7fTsi~}k8pvm&u-$KgPcsppMBqw$8o%qF~N)p*$(D417jm%R%ioL
z?&FllAe7(Gzn3CvQ|X&#Kd|8LjRawnPaH2M7uE?}nt`ZYkvo&77worSw^)mR{2q0A
z!a*5`=tj!z(Toin$0k(Rufm3@wt#eg`3-HMAdCk=Gf9QPH?D>2o@)Milic`6e5YTC
zK~$41NghBg-CgV^)&>o+e`Fdo{bICVoIO5e?A+1|NIR;hYtU#LbTti)0=a)|>Pjqj
zML$)DFqSjg&iXC#>)*rCJ+%az`r@O>{+>GDdX^w+h{eWsX?`lES!ozHe~^$DbvicS
z#r^@r$4L~Fiw4_4dJ@YqF_$%9Gy`VKEScb0cQtLWziYv@Ug1FRbpyA_W2|U-#b%gX
zBk?ofT~CP>`|m9>sw*3AC&{WU^Ge!Rk|fKxHW8*$8;oFjRQdHTBe8x+5eV@f_-sPP
zo0Q5r!4Ep2ZL)u;8Y(Wyz%WUtqtcY_>uAza+@PgMxQ=Sc7;$4TY>q{{7<44i)YH)-
zpnR3h$PTU~@1B4Ja5|-`#2z<b%SBx_K19b;s%sm*4THi)Vt?Lf0W<b{7GY6>11<f2
zgi0IZN<eT)Z6#p~xPnupZN()vWI@y;%>EoQ7XYe~@?t&NvHB8hVE5a_6<Fhzh>h$L
zO??GUa$*@27zs7P6j*~B`yVj{7KH-^K8vs?l?n?;ol@a3RE0$=xC-k$OEJF0RXEWv
zXi(uu+!Ch3I?Qkt4oaI;SdhY~!U3etu?17%pc!0+mC&cS3J0~@pMl3v74`$7&^cJ+
z0*r}DT!oVyzy=jY!lW=2*5HP#uqbR$VKj~^J_`#-osty`RbkNzuEIJmZj3K+6;AZ2
z8&o(FbA_p}4l`VZgVH7y7Njt$Z~&=uY{67GXomf64;rc!*V~{<pttP8gXsJrtdR)z
z?0mc=Y811nSi#W5i2}Wdl}!yc7>81T6{ByoD1vQ3rf69NTOkqAqB*%^sIx3u!%nQ>
zS~x#yF=8vJ7rZp>%Gkc6>@CQv-U!jDya!<@XWwtZ%BSg<D)v3aH7(XPr~**ge{L*^
zVyn{?1Y2EE6kCm6A=qk4qS)$G5W!Yg6vbAft_Zf8lJ>)vH`%D{Ur93**pJ%SVWE=U
zlXClL=?>f>aFe9;nPkW*&7}eZwBJ2fTFjFl43K}@O)kn|9pU^Ur=WOLEiTS3=F}YA
zaMkf<^=Y;CtSarMXXsHf;J+^NT+>;&w7|Uuf{uqD^3pE87g!<Hk~2_G$h8VmEiaLS
zRBJ|Ri^#R&$+D$db5gA_xfV~MEy5kVI0LEHf>a9&AJAr+`+f#)LxT&bokyFMJ8(yH
zxmm7Nowciw=0l&JPOys!a<h=Y;bT60w8O_j_&5_j&W4Y3;p2SxxB%A%XYRp;$#Ck<
z-e(;S{+ZfOdhWrE%e0qdY|Dae<D<pZT7}>CT;6gZOGUNx*r^xGaO-h5=}LPt(wcgc
zFo^ystrct4%8MWlsOTMlrf?F85vx1X)7#gd9UxPe$lz+N`l$REuCJ*zYxFp9uAgM!
zX6_-2KfD7EU3T}oT?^LNt*)tC#Ck-pue{xXWGl0C^X}zvI1kw`Sg37xQp5Amup51#
zDblj{b{7Vg+pP=zOBn2a1>9f%_aSmh9_@<FdTAA6*dXw%S*t@*xm;m32SP7jyE58O
zPm_^Sqfvfbm15P_osv54T_oeNLiwV&$XOaOGIWxR#){gYN1N3ql<R@(OuA^EoQRbv
z_+BpW-Y#i`^2X3N$njW}8NbRy2vU=9n4kr6Dpq(laD&HM@Wxw6tQM;@7gUP0LC`kl
z{o>;8E~yt@SQ*yFLQpBv#u(bhqF-Fx-X*o+jpdig$yh(~xu9005sRKjD4Wk0-K+Na
zWz5ik$F++Hf%3Lj(7TG+EouRS(V_*ZD4z#=VD{{y7sx~$-5IZ_dku3?GDptEOU`;F
zl}ng|8mGxvyvAJ7z3(q5bQY8Cc~4@Cd@}d&TqNh?uoeWKJZqzW<J>w_5woi&yO04Y
zUUgBf%9&E+6@^7HK|et*#wyu4xl(Wko!p`)%a9@|UfJiVZ?G3*Z4$gqpTk}?A=xgn
zqL-d*qiy;;7nNgej^S+v{O5EPlCHGr$vWDmFA`pxo@Ym)twk|j+H*2(eO_**;-x(=
zS9SZyD<<$#k)42-a*GCDD$*ma7L?k=d09~8C*Y;rrk<AtMSeV|cTw&q&dY)#KLIc0
zHubzLDDva;Qf|{?Frk%!)nIPEC>CZ%`+vr=wymKn?vy5Hv7*se#r(E)DE=~szQxPh
zXxRe#b_RVri@u#h-_E0N7tpth+g7~8D7rS<VH@qRjYB{?Y@;2v(GJ^ahi$aOHrinu
z?J$a10qt-B?Qj9@Z~@@PsSEv$zl83_UqWx=FQK#Xm(bVv%SHCnhsY6#A>(G<eS5kI
zLEN=^kzdN(@WZ;IcQESj)jKUmdi78J5*4wsKTDT?iUwCt&v?hio|T(ViqD+#<0s9=
zrQ9^P6HPa>FQB!A*=VXci`I0lNK>^rq*{2r{FQt6R&Ff6fA8Ae>HAk!Zn*b+-@kJ6
z{cFou_wv(xByY8~@S6D6S`$~n>uX_s3$J_E*TecIu5{Pe!deTjZP(YsS`$~Z>uX)C
zZ8Xd4<qw_uG&ea-M1LbJ>KUD_6t+!;r$WfC;b|&shh-Jh(^O{$j0!OGN*iTRoMyee
z+L+EwyS8Y{wGtI!#i$6k@7%j_>&6$atrYLxynSyv?8~|dlRGF(Pf6N?h+!EjP<t>j
zEQNBl2NA<ERJ`_JVps~LY!4!aWvH<2!Njl>%G@4A49jqU*23KCxLg_`Vpyh-OCwB-
zmWgs{got68LN1LkF)S11(g+d5GKE|kVPaS&%B2zFvEtS1*RFo{&g~oT-E-}N+sp4>
zyLzwq&dQZL*ZJXQ+}vV+0AY0DC-;nmo71{cDX;F_8vBAU#_lY?7novQ%N_WaN7L!?
zX5a571Hoq+J~G*P$W8=B6dN@3{GJXAL`f4Aikhn1km0HbUU<k3T68Nl=r3C2=d2~T
zg?+dDH`T_)_4_1>vd5?^{ZK%zCC{dBEajr)39h^wjgbk`=W_zdhrrpNw@7R)Ok-~t
z?gD1<Ti2uL9FAeZw?_7n-nHh74F|4$w`>~6fIXFOVVACXM<|ewHkpC~$|djY*DMlW
zMCB1Gn0(v}yBt1>S_*2wO@wiugF+A6Ob<KSs85f9DZNC<^ssp%#W)T&LJzGYUm}LB
zRpdls4Df3iW5lo(Vie58C}@abr6fjy=jn>$P(X+g-yBePEF_u~+NX(y(xjl!WX4RB
znH|z(hQSaVr^yUL6Z4jgM3I?JQ)EV=$gG(nvpb~7Ec@#iMP?C-B=0*(RGIBGRb~~c
z%$cb&w?nGT;kq-2P$jNA>c*NxletdQWKN;UyqPBRJEX}xE-CW}P2!Rg-9413GT&*c
z%qvt`FjHk=hg4a>C1nAjN?cOZ?NNy)3!SFPf<lu;GfftENRvfeQWg=K#3d!V2P{!#
zvC~vpWL2{7hS*_&lweu$gB_0BtNC^e*8NHY>^Cif?aLsPN!;jWhXt|_{;(6ujG!o~
zq{%0cMrX;IEH{NTd7irfAq{5B#;0a^PhX}>zJ0n3*eG4{DqUoQ784nrMQbwR6uQ{#
zH&D7@Hf?->Q9~GH%Iv_lwQ$PVDrIEr7Nbl%=B+}Rf`&5b4BWgDu_04tM;0zBGX<40
zvW<&TrX3?!q09^)e-T~6%-n<k6`3$QGIUYG%&3HsO<jyI?bx~sVP@HXjuHm5c2maV
z$OPJv&5IIfRwa;Z^<o5S$Lv)IG{;jFA(Dd`zWVSZnI=23c~P3osWg$TUW_K~n7s;3
z=Gm{KG{FpC#LE&yTgg<}k<E)zWnQI<Z1rMPX~*nUsItKR21*so@Quf7<&^*-5nLuy
zXh#+>N}&anLb45vQK%gwSfS7&`yG@*m>HZdhEAr>j%;C+KB_TnCm6%_PK{wZ$NnZp
zA80u4!%ZJ9DACC7xK#`|%L@iO!78?OR&iSE&(7mo1`Wq)6xT9aiE8sB>DFZm?Z7_9
ztw6w7p-_T-Z12=Qwr!0RVfHa1MM?l)5HzUJsN<G0;H=On!BVz&YAM?VjTB*)G9pDv
zoT48asZgln7BgV1P$<D-ws&eV+cO#|!YpP)iZmg;vZi(1cm|vm8YLLd_D+pwdsZVw
znDLBA5gNHHQ>f$CGhnPxD8YKRcWOP`a~cX^)-ysOG)P;fP{(a)z*wPBf-P<D)RwmA
zahu4-Z0Wd7gvFxE^y#=&4frbbNwBKzom$oQf@U1TtZHN&QmpDQ>|Ul($L(ssS)oya
zU2X5wuC^C7T87!xh?b$J3uFp)+_DCYWeOD%EbGEfE$f2DvWAA^R%2X>bO$LU8WlQj
zSp&`rjS?*D!cHygg2u8gq_eE?^CB{ZI&N75#tMZJEbGEfE$f2DvM!{vtaV3YWEyqc
zvId+L8YNiPg`HZ~1&w80NM~8&CxB!Mb=<NBj2B7Id$rpe)ct>Srw<Km;TMAND(s*1
zNxNAE*(z6J=Y}6dBVX8|*sEfm9Y$W}(6@M58!cNv-_D?KXVJHF=-YYp?E?CC5$iCD
zF1QpBGQct#dy7LrI}FPM3<BC=Faxo&Xoq3C$I7A|MiGON9svNO8}=6MFvu_>PBYlc
zS?uK;_HrJ3xq!V~WW5i#Hbhm&k5%i36b#WI&mPjf)Md-w!NLstZxv-ymT$qvZXsMY
zvOTRrg$xyuJ*}!Zw>OHflU9j@87cK=cJj1xIF^Rd5QWf_F!hD#{Z7}(+t?+Ft-rI+
z#AAQs_O*Qh2{+8scnD(Np29ZXaunH(%i(47SXm8R8!Kz$a0^)30$z3oD?5XioyE$|
z;$`QsvU7OZd93U_UUmU1yMUKn#L6zB9JUb-<J5)ijyQ*HoWtPuN6O+HwlNOd8XPbV
z+c<}9jKen0VH@MHjdR$>IBeq_26quc2b{w;#$g-hu#Iup#yMO-IE+&amfdk|3pj^i
z`H7UpISdOiq%6*1SdbuP3#jbQAU&HwOU@!CXVH>#NXa?0<UCSx9xb_mlw3edE+Qot
zm##uuwoem{u}02nvas!^@=}NV79s!MB3I<xL|$%=yqt!uROP9Pnw#}1q+Y46x!J=?
zm13pVXgCeX&;|lcNS~K9Yt*8xTt*t?_u*$%OKZHHq^tP|8zkAXAN4qDxk)9CEJO7x
zYip6rjoa1;nkA9JMJ)K2SVG!~b>mHahOEGD*VOYiAN^&d#LkjFk0$KrETW-Xj0z_b
z*kj1S8_9&f>n<ZDFY_`|vMVnmCGt76$>X6m(fFydsS9L;YkdRmWPxORHFpSTI?tQ*
zAl?7;8c(~o0{O$r>&{fV%Sb1<t-9MTBb`Wb8R_>1$bYcNa(t{Tq#rBuxqQCR_F(BH
z<AFqF3EC(n8^Y2=YLxyX9W33h?Y6<vdgX&<Bw_ik8!Rn(u>1>n*2y7%E)HVX+0h61
z^vsStK&NN1mbOwS^86?Vw6WbdppB&%(EfOi{II_R$w?Py)FJH?<dTxWn5VgXQrd7*
z*mfEEV?@nM98^ws*YX@W;~B7Kvkl7~=haI;v`)|ka!y#wshbND$BCNh8zf<aN%zf2
z{R^_jc?~Ash$2lMV_}0yw_`{R1}Wpb1{3dZkQ&5ht79%0&3yyg*0}c>9Y?mU2@i+h
z@}$`M;J7GY2B1rJzHRvcG-=BN40QR&0|1&#;@j34MVFuht}ewoat<vPy9|K+9gC!b
z7+V6grqhN6LFA&?bLsHm7r>39eSA6B!5%lZ#>qH>ViVpm{3iN6!Z>m17Sk}rWp*%=
zh7)7bRiv=eM4M;dfx9KqFELSxNkFRub9xzodnME1#30|uaa~cDR^swheOkTNZlH!c
zU5)Lr@51e7ni8QbT-KD(NrRRg?aBk(aj8Lp{j^1f)o;P2zP?X~O{m}fF$fXMw6_G<
zhmbbeR|!=cl5XrhsebWMD28z=>2(8ATd2U?yLq2QDHPmTD@01;Yg1M&y8C!z^ber(
zJBuT_>VFGw-aQh>*S&5xLX-d|!kLx_3?CRzNfJRXcAIYGySPGkOvTy<*yg>tu>nn7
zmit#>UNG1Iu~96QeQ0p&A=l!<Tw%a~{UwVG%HM-4y&?pXZ@oP&SI~?Sp~R<Dy9pa^
zG>`$azXErAdoS=6T8w&U-O_G?YJ<1dF!D!kvV{x1P3^N^vB-X<KzQ-i5%0ZcxJh?y
zc?{MVjAFiRgLZHyg@OtDfDrG6bd#lzluu1W4^y)W5(9<M`RQ`AsT$){%B6`x(h&zX
z%!V#fU@V{pGaoGus3ihv9}T+`xjEJsDh<rGSw`%kC^9_TMZ%gOM#%Gie|8}B5g+);
zBpmoL)`NnKzAS};?-4R!fh78Z=baXQVh_jgVH^Hf;u?;XP1?iNfCb3ySOrKhTKO$V
zN}yS8#dzlvBx$*9Py%=PtW5ECpadE$7)(jN5{MFk5-`D4<n~ox4Md$zjrwDu8VJym
z8t7KGF;e<!kmx@!jQx=tRRcB9;UK9&P$Z@XqEB%(2<mi>l7SioutPOau0!?JASl-U
zOfVLzfq(I7I2UM~1~K0GYLMi_F{lCJpAXbPgN399qC`{;&>KvBH4t?=#XKui0|8o6
z1D$^+MoM1|61`dmHHbL*12xd$AgMu6B&G(UPjNK}>U55hff@v`*>^H%-b`N)f^vZ#
zu;ULrdjK~)*)jh!Zf2bDzQV+ysXh@DFarn_G(sFE0Epow`dwfU^ekFH01%9cen0y_
zT^`|%J-AR6E#^*%KWevpe$u=cpvI+wy<}X4QPUF5ek;i$qZ4A{#s$v)RDxwp&4zP`
zfleX?2D<Md1{#qS7-&9+80bV=V4(XRVxW<Efq~|;eKVaam}-2bD-b#qUMs`zcTJ}{
zG-bJ^+YoZ~+4MJIp47x(WvTC1Bi|h$|5rDeltT*mb#EmIwQ`Ej>ZOehxYTfQVP<jf
z22A(D&tls*VE$KoH(-)OOT%<u_K(Fs7VXZy<Qp(A@Eb5subd($WD)lzd#$)$TXQPK
z#hLlVy~{0Of4l*A^PP|LD1!y}+q>g(%ikN&#E-TR6SX)ym)i@83RCKX<8LVox``~g
zKKl64y^yHb5V{u<6`NLG+mNVV?k8|9!+CkO^6h>(#uKh3&*yS;YSh!1d@Z@Se$$Kg
zk*@HTuO`O=*>%@+vp?!?{WfDJ_HU6Jyr&L$H*NQmUONLfZNHoww#n2P;|<$zGMjZ<
z-L2lN{VumFuB}|{z{!POZh7p2Q0;asjh0qQX@al6O*FyREgVz<ot>X)+tTn<xuxK1
zOu=_!@HMj0_t9G#dnZ+*md4&mmA#WH*))Tt_EeuOTQNze`exc6E4`TGmd47l*W^?m
zvLF1>kCkJu{Gdu?D|go&R2h?3WuGT*Y=R%55IdjJaxBo;t~}K@_E8>!A-nMq3`sr&
zGufN{r@cdi>?Rp%l(xXz{-|7W_;uY&IXZr~S!z0uHY;~Zb-2SG&OSP8S4))&1fAyC
znC_#!&^>vA9OBS~hjYDDt`=(>6pr3{nW&~d1&1n&a*=Yi+~h^h($l(6#Lr>{_XtjX
z8{&f+PJOFfeOz2~9+fsLP5R3g`2^{APhl7Ha0q)WQlRL6TFMPsEVg9NP^j#!bql<*
zrh9m0i!tw3#7C9dvuVHG>5aOxR$gr`{R>DW{?9Ly(X2%eBli^N$UgYe?|!+IgJRui
zu{;#(7RB;VEQ1!ap;$%~v!PfITC4!YdPK1T6zfHc%|NkUQEZ0n&-T%Q;7VpP1{Z&h
z)Sbthl~TR@VaYum>m7<GN3&Uas96WbmmXG}qI<78JTw5r03DEj5;_oEK1~i}_fZmT
z0X4{Ywn&c(4!Z(V48D@V>`&5cvAD`bvPh<~C3?<%mL_)oDSl*s^6$R^TT{(PMX%w8
z^Oa2pj_{T$v?ptUaQylkU!CMSFu8PcGW<CC=E=#RNAQV<tHLYi`G&LFY!uy3TpmmH
z$KhA^u1O9DB%{=XtbS1AVX3+L#Fs`lo*lkdH!BtRw7%JB@)KXp8f<_)s@K*z_K(UO
z;G<Hd!P{G{lp2kqK<{pVJBJ(;*5U68Sp%Sb>8lYyH>z-}>CMs$ryc=>VH>SnEH*bc
zfXzi-7j8*kcbo9~RQU4O;3Y<f#zv{$;6xT(tCt=>cGjd9qL;qrPJRtQMcaO_R$nhw
zeDRCmF6t}$pu7yi$Cua7((^K>M-*|KXqWO|{u<WJ&p1_}70zRK*wS<hBm5=|wj85E
z4&asGRQr~zyYObR4l#@z(q_YP<2~V>FX#R(4}72oO(}l}f)el3JC$0!)_lKOegs^J
zVB2t9-g2qn9h`g!DJwt=OyIug)N2hDj9b;mB^Y{KTznOB!J=Q>o|c<0K*9VWORnd`
z^p5(&xYdO2$sl7N+Tv0%-v*!ZdwdF+@rwB5j?~C7VbUjic2A!IrFlhsDzu|dF*a4o
zRj1_6e0u|5ih=LTeEbH}1q|F`?coPt{}ju7-p<ePaecE~S&NuA(Yfy)%x1OvU4AN_
z^A9x{%8lY<2myLhtUAqSwfa+l?@vX1;ZSUV*#)m+kl}9cyZjS?<@bDxa+A$Rm;F}#
zuVAKo6B)-mW)G#oP_pTSh2l~ML?5O$SWPux%>=+F?aQ;5a~z|GrPZfSl{YvUE*SU+
zFBC+w-#*r69uNePuH47O`onvlM|%IGWfbE5ws&AF;t&fQqCY*Mrr@hHA#ns}+F|u;
zW?AArpY1ra=XN`@=i6fT>t&we%wFg?vln+ev-8*-mN<$RUo#^YXLp{@VC}B@H6Y!|
zVK)!u`NG%0p99zj?m@}M<GxaE3a&e)YO(aNQLAh=ouX5(*W9JZy3?$eS9uBF5An<?
zKYr5WZuRIF4yovUmdXd7+R%#_HJ7ifm7;zc;WQJUDzGxDa>r&Jb^`#J+~r&jLP^|z
zX69!W=VxZ~1?b_Lvs!xLedm03nkAT$c=3fr_n-N>{Om%0#?Fhcw)+*naZq`CVSZ*V
zSKyGGjYhfRTF!arQf?mJl-3)t76@E};34}O`ORK%7Y|YbUR-CR$enCtD7&8yf_rCe
zbJg+QjARecVfjsQz0`P04rdS2q2j}Ot+cjU0+*}nh9%kT5bfd20N3&`&AMLd>Z(Hq
zvXu6&)*#IzxUUb%{^~>7hxA~vv{u?^79VX^-2{=7zt}?#hTdh@<?1_@|6?X}%%<^4
zYJAJWUyAu6I^)J{_&YzqA%D$f@J#z9)D_E*qFWXO5m}bF@{Fu`zvO8x_`k{jkR>F0
znD%)i70B5L?cqiy?4TUc@1Pvj?VyaRJ1AqaL=I+Gl}(Yg)SDvP{W`Jznf_30O}^$1
ziK{=_Nirw|-XMgch$@ANQ>*JH5ZhFtv}2m}(R<Bt`TIC7kbn}N$3^1>a(A<Y8%UaQ
z1z&}TxelmceudQD>mURE$Mw?lV&n~MWBYGxJ}EtS_+<Ol$xD2mE4b4<Ha>WZ8f1is
zPR5Bor>~LU<0A=^Mw0PhBsr!ZNsjAAk_mMrIiZdujxv%wN<EVNrgkLxh3H74UA4Z3
zV~MseLh9sAU@@9}bbCAaX!3Dff$zrAB&QutT#rTvoa{MRn2_)B@#Lg5o}3EClS%z}
za#}Z@oKeS<v+8*ASQ$^Aq#jRxOFN$YVr)FoIYwT`@kG}b(|GdH?Lp$>$;Z;kvkM0l
z@H}xh1ZJOb4`c^+?egw`^80*1IVTM$=Ys*|f_^}`s2fnG)B)uUbwDXA1Ih=f2bBLz
zJD_|sHlXNyZ?EHkqU(!kK;g?<HAd)_ZI)}~_2cPB1Y+#AC67I;9aFqvf5&ScdzKq1
z{|YWz$i7K?AWWbRqst}Q=Xn?5`Lh3PgOhHW_PRbuGMvrP{fgU?^@IDxS|7a)4<r2H
z4m>da@Z<0>&L39b;Us^!3lFFG!##L7#~<E@hx7d5K0E-Nt<lfH1HjoD{X9GXoUPF>
zzyrY98vP<X0GzGSFTn%A*&6)`cmOzCqhE#xfU`CFU~-s*akQRuker;HAV<JWy!zA)
znXQz;FX`t%@k@N3^z!C&@CO>t!yjnchCk470scU<Gw=r*orOQp<Q)8g2ImtYSE1mL
z2YJ|oOg+fZ9ES|eamdgdhYZbe$k5z8{DI~c;14vnNcy0;?tCt>y?@dTOv(e3c)+P}
zXOk0In~r<0f_+&fs@M>4Jf1C3Nby|t;&3BD$J%IQlAWP_Zi@|wbe^UCzGpoermTh<
z8>5n2h(jjlAZB?o8nX=UipUjXlgA)j`LR=lfR)uE1Sr-0pc`K--Xw>zPiZtBesYBD
z4`QXk>kT(X^Wf$bVwNn3ohUK1bO6HMdmzz6#`c`<hnHyZCUm~<U)l#D<6XAzfS*Vp
z#>CPw0K)S}xQU8KE!)rd>-%0umyY<2Ou#ok#jNX#P43iX5OYcY5~aM=^1s8iVlJ)~
z^GRBvbs~>v7ff2A@i3F@qNEi|vQ{Xr=eB*#Aoyz?5d4!%6F#rq6THCBAos4%ZMMWu
zU2q{Ifh0icxEA;gLmnS*VaUs;;&&_MU4DNe&hJkq@muTa8_)ijiQgJOAjy78;`gUz
zek%^b!EBozLE!hJj`G_*g&6YNo{sT*EabP{3cq1e<NSt6EgipGDev<8tvJ80B=KA8
ziW$!?oA|Bq(~#^{iQk`*`K>r`2D5E?Y=GZSI?8W17f{IWLY&`L$nQcc{06gy^Bb(B
zbo_3myvy%vaelv@#Bc3Nc|7}$iQk%KG|66<_<cj>x3az-%(l6p27Z6g0e(Y*Ha^u~
z$k+os_+Z+#_eYiv!4S@0?sH%Ira$`HCY}w!OB1)Ww;(vS#C#akeXFbuq81T9vllVE
zlT8C|7RL?f#2Mo%RI@w@?Dp*LjAwWEcy@O$*xiXh&I6El0Z3xONH^N*XaokbN_hz-
z_AqUgx5<3j#Wei`3s&==rM=Bsvs8h{n_=|LE!7|Rp5zalgu54p!nhl6CFd=A*w?M-
zUh6Fg^WmHSBHGD~#e(0MD@@uzPAsl-vMzp&3@;tzqtMCB1<UsPro8eZjQFDAv)+(!
zGtH!Q3D&AIRT9=mr<YCv62bb&KI9LRaJtZ+RHxU;@uhJn#Leajdsr&K?PmCVcImVa
z!?nBZk+29D*PbZ`#ZD|8_n{EE8Q=a^;JEgj0!Ns13Y;+oj%U{?a9le<fg?->1&*b_
z@$3aCkb*W_X4-6}qs>+lZDcqG+Q@KF+Q@JWw2|SUwAmuxx9tDTO3Y(Q;a<2uYyGVZ
z+^MziZ8+$8rT&;lVL<xc9yk`=pqX!Fy67<JhtN9rci#uz`+cMrUOjzAyGa*4K(hXs
z{)YQ|n2@K>YSqe%5X50}z<Z?>q-0;IT7^M_pG1eozMbisI=7uUO-_BIdm>B?5I_4r
zYLS26ZU3;FT$D54g-5^Tv@wwUZgF-om$oQGHKs1QxR|!+{ESWio<;skAoYI{A$8s-
z^~G;x&Jmz*!>K$X*$+g@W%5B*grf4VJQ|Yj4;jMguQ21N#EgC4%4A9RMi=3w5Uz~G
zxWZXL5w;9jQvief9~t{!W;$~NYbT&A%y$6F{QP1Epe*F)eiRt|UCaJ&;EF9-t4eOL
zY@-P=yAVZOn4#aY$S;8$!_9`uka5(P<AdMIKt|XPvV1X6g1iVuY3=CH!6o#cS@u7*
z$XU4qZUkgxM1Y>aCBWMj`4#91+zYMr<hb9Hk#A*aTq9pue|(+$fo1<|i@as*k(5Cr
z?v3Vbo1J+*I{W*U{k<0QnZ6bb{CAf9Z!EGLXJE^zAYY5_YFVfxbMsQtF1#i>sAZwj
zr$jAWeBHHB$&&7}FrRzfS*Y|WiG}(6Ytr3+Y%TvoE7eUMA_Lc`H3_Mte;($;pN-6i
z%3>g5dk%|*09dR~pScEqr{{DEXeHgpK)*uC(D30AHh%Kdx$`Wyow-EPt|Yk4JDLA>
z<}!IR%qZrqKs?i-Kw~Qq@LtnOf}M1eX6Vo`yRx166q(=7%n<vV-P74VdVD*>$mln^
zN8(^Jqup%qhHp6Wg&1*><K{bz{hgRXeu8$haW=i3d6S&o&P<Y%-{?M0{Iy0LAJ}sB
zFmTI`f1`VpSh;vH*sCM%O7X+=smO1)hX_tLKtMyFmIr7c(8*J&3FP*i%a55ru(@R*
zkb+|{F#>_wK?EldAfO>o%flZK2sA9M1i3v=CJ^Y8fj|n5!L$PeY6lUVKwP1JtrKQ8
zkOzjLwB*U8Q!rN#xhv**+NBK;ryVqK;z0BCcdZVrl3}e)*OifaVLLNRE^lYvNaOSI
zT^VVHq(GoLf;V5??+9;;yI@+v`)_xG-ixrvttj+%C!$N+nW==4p9^L?<n9dG3-dcd
zyLD>+yp`6I2d+f=lL|@O7hzo6_)wG{AMRP)5k3;J^!WT-YWjfxlol2Gv@LQSL1%Gs
oN9d%Y4%lXC?!@~O3Rym}omn86?MxRDwx^$yiY9x%+b~!Ef4dLK1ONa4

diff --git a/linear_regression/variables/variables.data-00000-of-00001 b/linear_regression/variables/variables.data-00000-of-00001
deleted file mode 100644
index 1de6d51341eb93a7787844ec6178072c9a75d2fb..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 14806
zcmcIpc|28H`_DF=jxroW<{>g<IHq&XUVGasG!i9>1|=etR7je2lp-Z54MKyuB#{zl
zAA3<M8YIniHE2|+gy!OR)a~ASQ{B(|et!J1pS}09zTfpc-?g6gY@VR^L++?Ea9F=A
zxGdOjaPItbq|~Vi(2L#c^Uv6pB$WP^#dzNGgYvF4)U&c@$l)$blbj(+9cm2a#`I>M
zy(&bF&-GDf>I+6E+#5}mIf9nuWWkARb(xbxds8`!^5B{4JCSk3Y$inT4lXG-fe+&Z
z&`56;>cX;6wog2z{UH^J_vBX0*m)3U+9aR_(Y4UO<qwp<m5ml>q%h>8V<<t+4Vvv4
z1Wgwof|&II6x;VGQr%ULj=>c$qje>Gpq~d-tNuiT5;Ku}rVi}10mz!z4#Njl!<l#Y
zAy#`J75~~6KAUm_71TMSc}m)dH7lCZR;jKC2`+>8J%=MZS8EjWAq}QEr=zA3d1%nc
zU2vISBX#xqHdHrq3PX<Si}I5;!b@uoprEs9FeS7I)v2=37~M6@yuSO8zN-b=;5vgE
zZnGCwY?wkWsm*|Gt;bMal{388(g82O9*%tDcTpqCB;)(`hRKKIP(%MAsJG^3D&*}l
zv8BQaiacmby?-7kK0GUnh^ty&A$z`++S;V#^veAdNmhxN%|0`zvpe@uCT}k?EmQm%
z%G8k|k`<Bvp0!L#{~L^c{OgKCehaCrAYUpw+qlB`eQ#8^Dv{!6{z*nn>5EKOeG)r*
zOkk`oN>$WbZAWnvI;fdlK~zKf9%{ycNk~s;JF42X6S~Fhgf}q@X2$D0_yJx(A1^7Q
zE`dFKyEL5%m@x=;D$YgGbN4{E`<+guQa;R?^g9)tvV1hpa5Xw2bpTC2DMc;bw*eWS
zX`;5=%y%+sS_eDiD&XN~RY<708tQB-L}v?W=9GkY?Yp;V%&Ip`>eb`Wux2Au`_cqe
zGQm(TG=WL7O+#t#_CmwAc9d#@13ce*Cvs^|W}f(%!fA2Ss7(v^Gv<TFGFWgY)n|D+
z!pGa9(0~*;n_G<vt_hf$soC&_=o}-Xu#{r$lR|B13hZb<4mTfQP^?8IN(_5Jb+`;c
zrSJ04j5m9rg~%Sstz1Lpyc03g*RDp3BDly}<1n0gREOFWdw`tA!eRW8YM8X5kgAGI
zVF+pDRJhL%PMy0H9h>@!3ct0GGCddz>sn{PwVw(g&%_??b4@`x?Ttu2JB@l9C4>BD
zUWJ!B(&4(Z(&F?3C(xiZHz~`N=is%0(&)qZ+l-oCGh_5(2GzIEn~DW?lhBggb?BCC
zChSTm73<dZMwRuN%w4zrRC)i02ugk%-W5U*zXfRiQhjLAuO9jLT92k;<C)pJjTrUk
z9~gQS;S{f(0}U$6P`{_+VWP%F=yD_p?)NE!S1NW;DrsrZ-Mx&dSset8CsrX<Wo5Y7
zkAwQAQb;R3oeIlJK^9ROjLoSyR37dKpRT>?6r1ORu2|ngx%FGounaaDebNm^pC#ae
z)ytVEcQyDtDIb~t`I@<$H4V0q%}C96H*6?$Lo#MnlvZ*Iy7}4=w&@$dR~K86l%XTa
zbr!<sU3XAi#s=h1=b>tRKT1=-;nas5gp`|7=!EoHP+|HqRIOT!UI)5T0<}Z1eb*Ff
z@i;abu{sUyXl`;MU(AE!$4A0<2b-wmAp@N_L@+$Yl7V%btEfX*CY9z9>SXjvQa_Yk
z;Ek6jk!RloCiBn$7-?CBUL55?!o3hKzrGb|Y)L|v&!@pGUOPIEURNlT^2v@x@zCdR
z5aK(&W%{0TfPMUm;Qb><k<dK>w)RznmG5etmJ$^(=Fug__o+KlEwV%H^0|zhw>O*|
zR|H2TR={zWQsIjmd*HFFjwt<cK5EWaq+*^XGaQeR@WQ$x*rZ{PcDpsAuH8}a_`%8W
zbYMOj8NUWK4vS_sIPIXc;vE>>8)b}_!Uohy^ry<qbC|KKRjC)ZMR3QsNT)SQH=Q~k
z4MSsu>6B%^Bg~lt=CGpK7*$;xUa>5)#>sV!HIxfCM$0YrV25@EQ!_CIJw9s=*V`n)
zUEDmlDAWVqt(b`xr<fqSRvXyt@CX%%*P_*i^+>VUo|?8X53XEaNNxTjjk20Pj~X1g
z9oph&81CV6c)WEdHF;DLjFJ{IX-X_;L{CER<O`WbHKodPVUMUzHE9OD@5`i&KaQR&
z4MZ(RYmk@Y6xg>end&Iq0poNnA;+<y;)>n|wA-Z~E@K~Nj=BQKI=BJeWg?MdToSrD
z9Y>2!bHy<ew@^}zI!wi+r%vnFZeYs#7Ey5-Ybm$o_0%NILWX705AMB7Gp->#G-r<n
znzS+(scEOeZ6o5Hp1K1jX=_o%5C;oLj50$Oy{@CN<tCM9ZZC!f&sM;abpt5d=kJ;H
ziUN4?+6Sg+jsv<J77F8Sx4^=OJ5WYs31ylwP@+*^XdqhvgS_fsPVYeEF(V0i-&ApG
zACV6;PLRydt;*0}T?jp~E~>)d95qKH4ZU1Z1M4>3LwBdAA}Gp)XBV!3-1@8V;?^^W
zYxaa{tGqyQ^>U#mO97?nFM~+|1JE66JG|;X7cH(%LK$~9IbCa3Kn3<%6^&EU(N29F
zj=XZIqV2?B=vnfFa+EW5VyoSyK8{R5?N*mjmVXrVk$FRnk=hDjuZ>hfLIdi0=nhZX
z*1+7B#c0QenP^nY6Xvyj9=u;AL@%FLA=jaEVQj+%#2md(8BMA|{`vLH<Ow8dSF1)x
zZ~0QKO{tXE+8vOAweZ1#S!l!M#qiRbL=@fZh}4K-3@<eSB@7>oLOX=8m)>mTZ)yTL
ztWfl^%NH8#-hn#Fb#ST04Qk(pv6b^)vQeK?v2gRENEmsl3MQKNuaus#8m_FcrBdzJ
zRNR;8Q+Ye%C>;B;4xNvdudM5v&2+JCp!?J%6$>>Fz*X`w5R~1bS|(+ned~p2zjrzs
zzR4P;WKTfNX%|pa`xe-0a~Gb_mPRE+Z}@OdJlbqEim~3Sik@%3gwpI03Twa2SR@>U
zVVNFK-;Y35b51Z-&mGXo)K%!c=NYv5&qTDtjt%>?+@}&rb$EMZJhUc!V7s0P)Q@gN
zyk`e0#!PmA!t6chfc#FlW64ZdJVXYKGVww+(gR_3Kn=1yBtUy^$xth|w;+$vcF345
zUAgv%3!J*CR%|zPGxISk8)i<?Ku$68a9ijWxTRz+b)_H>J&0F=!%H&JBKg(uoxlxd
zx~iZ<!KdLAxfA3*nQ3qZzK-eh&H>ijX`zFl6bf@<(8GgQnTq@zm@_?@>arPy24qoa
zvKy;1M7|2fO}K=#j_yLuy2<eT!$LIRQ6@B7bPvXD{F6~jh(*3r&Ed=F!SGG%a>Smd
zTY0{z96B^_fi9~@P-ZV%sS=qgX7S7?411&w%2B$)Xtn9V;xVV0(Ybfvi-fl*=iVvm
z{H^U&U6BU0zMmSEq}>M|J-w7E-X11yS8;X{4c$rITX2yY_C^+Mc3X>@+s-jdc2rh8
zOj?A}({7;MMY7ZYEC`x|NvJ-g%Bj?20ct2qXCBP<g6!J{Oy#vzP*+^;R5QU39lgDb
z8Sj0D3Vgkq+Ggv(bX7f*?EQSkHFO|a|7kykpZ<d>i+aT*9<OrRG+`T+*H}eGyt-d;
zX>KV~a-3nZ=c!X6Mj2Ft^DatXsgP;<aD<u?Tu+JWpH*DAd6}9#yAPuqzKvO|7zDwY
zv2g7ESQIQ;0hLRaplP4>A)Ufc6!(S<a_C57f>v*Xd(C!18<i4D+JQhv$K_WL2KSJv
z?jY!7JP)>{o5A-D0C5&yfmxEh=&-p3RjY4@zB((={HG<z!u%E$Vfdxzo<4p0p!sOo
zpzgcboCIQP`?A5kdJPzwOq?Sp_zWRU)(s^`%ytK9_ChjV!H{fGu%`>9w~>28Mmoif
z>P1)1%oQthyyy$MZKQIWr8vq15vS{p(gUk2iO57L@yQSoIXS|XeDr1`T~*;ik3F`A
zoGP*w-Gj+wVH}U#aVU!D&`2QfluV+Xn_Y<34YO%Og*h~ns4hNuy@tr<n$stCuckHL
zg_ChXq*yMpzc}m7b&>v&am16kr)lQ_{-R!1cgyciDWV<QW|4nH29bI9){@SNtIPLz
zUM6PfxRBLl&**m#O~j8*chYC>_ZP<x9zx@K7UUKWTBN^t6zwm5MBq7h31QfJVDdDA
zzBMq17+`-6k6WWd9(!<>Xz0^QIPFrPL$k{0ST>7L&U!8?*4|I3HI645jU2?<cptI^
z-$D%0s37JmZ6f&-_s~x`$4T7^3-Oe+xun&+N>PS}lGw`kJngmP0CC(}nYJrc6#G2Y
z7Q0Wf7f-R(Ca)>nB;2^IwBOww#DV-$V)WQ$qH9xX2@P66nojf=?YVZCkWqX@56qh>
zJ}y5A=<i!e+^iWTE@?YYoQZx%8@^N~2F>%NujI(kCWgyM*L$vHqWdbMX^0IO5$R8a
z4QVUC07$StBpO)E;E8vXq=U4~Vv**sR8d{L4yO3Ph<@ItiOtj6B^J)J6~ASL&;z(E
zx-#i%xmOcGcb@d8+f%f#s?zsm9Xk!MWW51|#>f()|BU{0^Qr?Pmr^I3GeHNNxlNYT
zZqUYpowEda8QRzh{18zq-5*SHOCv+1gXmQ^%s|d_4yK^dmz={=!v-g6@l9CD*gl(Q
zgjdHW{2r%}9JXf#Jz4Kn`6SaZ^ab{OdgN+Vtg76sJiM+SR_@Ft4vZ-$Oaff!X;)fB
zzQx)^&Pabz)m_ap<HzclSHku3Y!3}=zQZtj#GH@iVKD=Me2^(IwKhRia<#Dh5|X9$
zWOcC8^RK|$Ry}P0omM)brJg>0D3d;YI+AAFI1@*8j+9T;mj>(obg}-){fG^kx|sP|
zb-*WV>AXx`x>Yzu#EI+@C4StXvo6e!Ft1d`q86<Kqy2R;Hy<s5+^*5|RZN`}nikNl
zsFj}jQig7JeNU%R>X>`XI+3Ea3byvWzj*&HL;8-ihS+NtO`AIu(6yP$!YV-&=oBbp
zNpc0m&Z#O`pAJaNw!Nh<gr^f3UAp4+qx6WdVoSQb>y#+wgB~`P-&<6^Sr60MUqpK=
zL1Jq9N}RucBM~nvDxa8ZB-&!&MYkPP!RXAZ;K@);Oq4rT96Z`V%v$r9cC;;_?=0nm
z4Jvy?#o(-HPre$)v|SXPIwR48y-93&z+PM)i_tr3yhS<7IKm>ZRW#Gvh^$_vjGcco
zu6*BnHQ_NWb5eWqJpy}OMLv~QrmrX&(4nFF!dANx#FR}OOlE2bF~V6Bi^=r_4KRs5
z<*r8R2%Bh+#p{8=CSfT{t{47(fG$><s#8Avs5%zE`e@nhTNgydb-l{vrn=z{4_fUz
z3|@$u4W<$U$LV4rD|P{oMH*PqNi8z6u7p^u<4WS=Pl@707l4fTsi@bwQvOC$E$rrN
zM8n#C*qM)+Vm<Z_+Dq=L=u+=eg0GcJ^y_CTD!wNL)J(OplpzhGXL>4FWBFD3{;+I1
z?q;#*S&lIgdTKF#-aDUuHddABu8k!cdgOsC`q=I<t)yVrMw0EfpB$QKMmOqKgEsem
z!sz3LL@!fyOgc7z-^*DY8^7QR2#ek-GM{co8mq0L?<ZM<19M-9WE}g`8X+94ptG8I
zG*=DFKKG93&#EW-2PTVBB*%z+#A<rvYY)17WCQIQ%)u@y>(Vu2bg^7`kj_h6M%=f(
zMqf>IrRz4{rDsTAF70gHNY_s^z~&r{Cnh-RV_8*m#MxHH;wg)JiJu1Qixs8i_!n}r
zL<`rXfcdHF7{1L95U+HE-cz%QW^5&)T#-!}Jhu=nOj|><mklmADGjG}Dzq>qdK=O5
zNE2J{-$3W3+^2^;E}#cE711ju?I<7oN18~wF<;c37eiAcTs>bM<850GOwZ0D984N{
ziYM&A1D-Uo+;SV<;#N~OIZ+F%br?Y;r>kPN+!X|Cq=RS+KU3tsLL@q%T1@jx*A`XP
zrqV|}b+8E|k_o0*3)An-6F)r57W*2%qnnlF#U<R!bp6bu^!gFb0Qb|tZu{wwKF<1B
zpU3No6Af16nU(@_x#mi->5vjpGP6fyp1w;^HMl{9b!lP230lNmYJ^Cdt%KE{T>#c>
zLn1Hf>*X57g?RH(9mnZOv5p-!`C!CL^)h9qjK4KAN3`YogCqM_nbC%`ksu{tJ8^P<
zhbT;v=ldC2*kq6-vNl{U8V;2)bJLxl^WeQlSGe@0mT3OUenOcE2k}3W#3H+=sbxE^
z*7M~vHV6jV>k4%bs|g=IRu;7_Qpbj#ymzEynu<_{#OSseA`u$>5y&iHK4W!7sbVg|
zowS|d1^W1S1v);iw^;L)0T%qR7ts=tK);^3T()_>CvmKLt!U$fH?)7fE$!{Pl~_=_
zwRBX|TG5;tdZM&rSLo-pG;Q*<gScgrCAOX;D>Bp=O0ac}#K%)KG5-!-VTOaQa96yh
z@Kn1FcH+9Guv^cJ_I?<#Sy{M!uol+(Ne3%%;|SA7s0bf4>IhY69W39ipO9I~!NNKW
zgm<KMgl^6%!b?pCSg&|3VbWr4Vev41Z0GhbSd=CQd$@85Vc5KxK53wZ<vn2Ny_5Q3
zmjX^Z=34V;zVNiXulIE@BcYV8*LfgleO@hE<++DmJZtRXgPU%ag_)ia88^s@?qBOD
zSJ>+XbYE$Rk6XM1dyWht*LmKi*^5;%4?8ui=%Tvt>R>J5>LL|v8c$gmC5hq50#%G%
zq$;#Jp^aU2P{)SI7zm}@b%ZsKm4$GVKDH@e3o|QM!S;OA6HY>!!d$VsFpJi}!USqU
z=d-Fpx=9TSt5Fl4TcwJ1=jFBE5kf@p3Fr0;xJtYcF-U=fH5=R)dFf|?N6=XQeALZy
zXKCHCl-#q#ky8(W5&KX2c$%uC41SL;DP2Y+dTta|-N6Je>h+1@$xG-hr{jn#m#T?e
z2PdMYsUNoawF+j>8cezw4<_RZ9qHwjL1crU3TBisO{{X}I&pB2GPYL{&?D0>5(6Sv
zlU~MY1h<#5*z~Y2FT+y4V$7H|gmPFFJsT?{%y09_93#GXy;l-BOj(+CmS0I;<r!dm
zFnw&r!v(bKSSX5Ddx0k#rPJN9ZArDI|BO|j%a(C4@vX_=g_^+;*As{66BSbQ#&PMy
z)(x8-X1uTz?+YH4`<Q);-t#z#?t*>Dp!2)MRal(p6P}G{L>1BnLE6|8$=Q)Nu?PgK
z+0eaehn219HIa7E)Wcp=4xn~#y=d}i1^H&K12I6{No&u1NW?{{mcLr!Lm#-sKO)ml
zPi$VxqLquxM2$D6i9X)B40Ovq#HM~a;K9yKq?6$?dg37tChN(;BBw7P)%}N(Rck+q
zK91KR=frWa+T^8T<NX;#BFdMqP`9IJdm58Y8@0)d^`3<PDJQWZ-pNllF|S~az)8d7
ztHjRyVIudeQu2Mv3-NiG{p3w@3tb$;BmE@jmPUp;HYhodjELJrSL7b2J@PEb*5m5J
z+6|k^9|rr8yROu&oYCS<wj}MP4HHh{>ead8u4~0a&F-rL@AjqS+xGdQ<LxU&f)Z^q
zb<<sX-IjNBUTPA(A)-N?+whK1NYfQon;8h-vs9htCQl{Sq>cqz<HvxPWF3F~?d!Ny
z+g{u_KL;c|O#sT{rW1~ZvY=8k8y61_BWlNG5$0!3fXBWF?+Q%<iE(9sD$B<owCjTc
z%>*EoHUgiO&;+L3PsKeP9EmOGL}16JCHRw+p`dkM5Lorx32*cr2I|j;5k=ES0gvOG
z!J!w21q#m!@Fi|sa6&H?9I-nuso}bW?Cl`@c<>*%B6<YwN6aTIO4@;bzcze{V=5@$
zzk<k)rzHKuPMn!bf=IR=c>PSDFw08@HQsKZbY%o6O}&9f<Q&Cc-N1-b?068@aSp$I
zJqPTT(k3<*ECAOos|!eP9$q_q4=^N>@CEL*AV)`&Nba)$WPh~7OC#CD_&o~5t;TIQ
z?@BSKa<c&Vh{2#}sR`H|Qvg&fSKw3R-9Y8AW`Map0&<T_@Bot{Jls=+ub!ZYr+f+^
zjP}j~FVYh6F%usHIVuAjDe6tQG;9_4uXV@Uj5Wa4r!;;bRh|foT0<1ny~L%BGjO`)
z1bF^1lejvC4SdG<0=7*7;8Z68>(T@;+*AN=EGom77pZ}K+XNy<Z4{VuOA2H^bOEL7
z`hiQV6?n8<4Un7v3bzWLgy$V*fcl~ryi?VRz<w^^h9?-}&owISCa3o%uC@LF)P0?Z
zv(`)Tr4fxhWrNrJlvaP7P~Bptwb};^>(H}(A5{dD)*ZoF*>d=e`OgIP*0K%-L(8lm
z2Mh4<xkI^k=_KA8<>$5`dN1%9e`Mnd`ftHQ=TO0H<7qrsj}Y_x`*!#fO(|R0ztG-&
z^h8?~mI9b4ypA98QY6GfDg*<@8u2HOQV|3wq~Vmmt;O_kA<)}cXuE3Q4G{3*5iV*S
zhVQtpiuZ5x#e?j7^P{Y8^WPGiEH^K6#KVx3mHqUAfV{O3XJiBMK~qlhF>yUUY;TF9
z(lsC4wd5?<@tPKY`8{vD#+_22o%0CKwN3}S)?W~WJid<`wans=EZQunYFo$+@GZuD
zYfoFN$DRYpe*}Pe_Pas75W_oP7VtY`nr+!?5%{~I(0Y+5MNpyn+%D?IUYvI=5_hi1
z0-wCz@jqsz;uQz`^1E)e;oh&{Ko4sH$e6Xqe*NY`5P8)R%(Dbw?m7!ROZTIod0-#=
z&YaWu&CDVjH#}F6y{*jt^)ZC^xgY~pE_@9>l$8jgbl6};u$y3TNS@$6Oc|K-JOnIi
zceRe6uR}Cj4g;fKG~(m^7{LV0AGjp?@gBf?_`A+VuA$2-{_QTd{qTk9;NAWNaF%CG
z7_^1qH!TamfUOsJRocqHYzWS6c~>SVFzRhTPE3QO4?!Sv2b<Wb4siFF%eK{8yLjhJ
zi|{ob?Up_lLhzmMLv7tBj|8dbeQ|S@Q{cL2q988f9zXtE6Zg=FaC~CJQtn={tl<7@
zdwZa>6W>;thBLL5U`VQ|AZ_XZL37DtJInSC-c9WZ+&{HR9@;C-&D2{Xc=fTr;PSJ(
zf{R`scw1u3><$Ek^ZT%h1tDBbo6Q53;ZM5Gaffpoao^a(f~Pu(xbf5>0)vlHAjGeN
zA7MBfuU}Sa`LMSVxIh1uZKRnh;VtV2LYhOttu`bGjW7k%C)V&LKKxT4m*U4=-Z=v|
zuvuUwdy@gSE+!ypW<1#TX1hRPlsYfYLJ4;p{Rr<qk7^@T3A;YBT&1c2Vl8hdi1Zi<
zEGig$AH9RWz4N8*$npz<G0_UP{<&N1+LV{r&VJN@C*8V<pE0fjo9>ngHbko6s}~vx
z*6j}GA26P8m3xH)qAPY=rc`bOlf8@a#+-cuWim!!ZQL%Px*qdS39E7KYdPkn$(dl9
zzP!DDkUa59&KxwXor@0%wa4QMU*M@$D;+VbzF_L;tv1KnkwE6nC;Q<?U*aFm`vO7g
zYcTzSGj3CM$1V+&^LFbE7DQlM%)@2m@Xoc@Z16!d@W?|Ug8PbM!IKe%eCF8){8Qp-
z$Hm%v@e3p0T6cv1$!GcL+dsH@9M=>z;!^kGfRARQpwP087q{gTFQ(O<-<_AxI%Ry*
z{VuEH_OtLo89{>W=N0YOMG5)OVv=y~%jLWq%WMS2fseRs+krT5@IjkZzKg(BFD;Po
zl>iQpI4OvIy%{fC#&$ebcNmwhwdHy|ju#|y57~Ektib6Y8E`LgJy;s>OklFm2F$mf
ziqGsg1)grZXE(+_jM&#1=5TtI33;y$5q|{EC2yJS1M$tOg7Fcb_yK)R^YY6)1Ws~Z
z7DI!4`N#E~`GxD|TVFct$y2#xC75yM27l_BD-I#-0=wdC`gUno#tMcs4C0q-=<#f(
zr17o>?RETvjo}MsO%#-kdnVY+OBQT=U}-t`bh+)VsYd*F<Jo-Xs)AK%z2w_U^7H!q
z7~6+--n@7p6K-4STF2AtGx#9^yX?4gN*p&h&f%HY46u~;VcD+~U*qjOu4FB$O0h3a
zuCsdFS5a_7Zv%fp@<aaYD;b}$bT16Ekyb+Z-0^$yoe!G$85dZfCFP`D19O0XFsB#(
zX;ZoV7JYqzwXCh+%u^@uiVha|1)AcIYzH}DeHY-P`)%fp*q4C!Qyqf4RO{hQN0$K^
zK_;$amL&*v#Q~XNI&jI-DjS!W>sI<G$MV?O)8-+b8!fuyxcg+=z(IkdtrD8D&7NK;
zu{fgN$7-|6Wy{&s8%zeD9x|Z+5?gcYvSjPW3MVXfX+&8LdtPhlHv08|C0h?#>8SCn
zWOwCT&+J@m*^T9(=4?48`Xw%9tPC!e^tCcv9u6#ce24UeUG_%?Pr_9$ui#x=v{8__
zDHAMcTFlQGDi*v`bH{i7na*W~+w!8!{={2nu5pw(zKOTudJ6BMsv0r((hQKSC`SZ4
zWr0JSxi$qk+qm(&=h_IQ)NJ~PJ~j8r-e-M`SYz4duV7WR;-hu!&i$5h>@2Ihecfz=
zRrlBowo$ZN(W!2|xU0lsN9rq^y2WQKk2!9#4liQa+$Ppr)os$S@fjLzz2)?uHr6Ev
zY`V1ie9nue^b&C1*BeaR?vGa%mxJ*aa_z3Ws|kpmg?Kw0=(sLGB#4~8AE>KpgUMab
z1OwKT;1BUc+sAH&_?D_mxYGJ@ynXYK;K8YK-o*XW2wwXcAeMU$YF51kpGFm1x6qiw
zgUdA_*E1Jboi@kI6cvcW>4jF|*XH8nZVX&-T5L1jMi-a0KZWl!=Mt9{BJh5aUItXl
zIxI0AOw1a(QSj`{7W~S2KJYh5#y7Xw5vy~15$kgA3%Fh+5tJoo-WVUpHTKvBW>O>&
z&2R_Xu3QG)I*sEm<Ev_(!h>eAxJom}3)E-pI<hC|5-OpCaMLt4(Co~!-*I;^Xveaw
zm0o(`3UizArgmfebiOB1@a!W9O`XCIxUEENKUQL?=|9$C_%?Yk-|7i|a^o!gm76>8
z7@uX=vAbPzrbE2o_IrnYyZZ^A-@S^rPjm#sI~@fo{)+@dM7!+GUvPos{|$oaSLFrp
zLb2egPd2~s%sUV-bOI*RCxVl*tAUxKvz2#5goEeoPQni!Cyu;SBu4b-lPyLfdyVHl
z_%<y|B5(b0-o<QFQ2siFc=^GW%uvb%BbO%-BhAk_v@B^LY98f*%XKNh*k7OUYzzR|
zCWU0B{9v;7RR%GC=sfbkZey-jk(A?@$IHkUt{7RfN*09j^T?)x4C@gtpZNVHf5$Xv
zR&nUi9z&!B|3QSBjw5&J_!GNh4T1cr5WY|GQ@p>`O5j+LD6pP5mZ%<IjbE2ZAv`b5
zB4pKzK%X)dCwAf^v%s4Zx$#NH)LENjRoo!<VT`TGlH#aE1TF}P3YZ@r6BaN(Bs?@M
zCfeGTtsr?L|M`vNMw5m0=w>Hz!@j!NN!+A+bhDSZNq=>-m$=FF=;k1CllkiAAaRrJ
z(allfCi~URk=>Ui$LT$LPE7c$@P#2!Y%P{NM?ESebY4VYRQSTcnDE(=0THvKqeG(E
z{a7rHYD`pMcw}HuL`Xoa#G%`WmO%98^#1mi&FMWeBq}gEAaG7NTal%}VMm9DMh3>r
zi;{RRmy$f{!(j)^3<;SN5EvI8%~odh<@5=N3JIP!E#%7+b(SJW<=ZC#vjU@Mvej5h
z9OZzZsM&$R(*mPo0;0nL=Y+6XEM<<&tdPJ+b|01shxK_Tk<&uhy;&TN?6leQB4Z>|
zRQ+~NVQe-_jUy+SWMoK$WV|{@CMY~GS`xj+&!g}6v*<Oyk6!CPnY6!Q()pW7_vcJ{
zKV#DWp2^@pnGC;SGWwgT|Ie9>f5v3;J=1{yWHSAR$?R_?^Pe+W{ETVf_e_@GGM$%_
zh-1Z(36GI1O*YG#BNr4B6BuA8v2Fgc?IkjEIkLea(*hT;Ramy1z7ZjTQIX-1p#f2W
zF(KOW5}~DLX^xf{>fMHy#L(_G#z+jEZo^w*7<L;z62qw57%MSMyNz)Y!>rrzl^7D7
zSWQ2PA;F2&94|2>II)@&B!&bhR&%1nkl@5>PLdcBoLEhNi6Oy>)toFbBsj5}Q`o)O
zI9s+G%T{ucAlXSS5*&NUMS|iWxkxY^B^L<-PjZor=Swb<(E|1;iJ|;uq{^3(oG&9K
zaNQ#%aNQ#%aNQ#%aNQ#%a01Ci0@qC}fdgzg2^?l;%Py3XWXw*IvCkE3R!B@#__S!Y
z0n47F^W{;`h2R%8LWkwR=@%)f89mjBpB4}{%aJ4ZnK4>YoOm4huT%Mt%F;`cy)VC`
zI38?8Ul(sT7gvv=0lqFC<A#1I0osmVX8wIS=5|*Hu8qssvEFX3<Hip4;eJ1s?aLYa
z1K!_-L>uoB^J|^?6|NU&)DO5{N|H9ON6^pZ>Q{)p*yB0AKVbF=4vCBo;eIJ-+Wa1%
z?f!cCE9|ix?;nuaUy!@YV~@GD<95IL6>2ZGqGaKHyW;=z{_{HI|F{kXzgvett=2j$
z{8#JnC#9Ut0^h7d;@frjU5%f}8UI6`6hG%F;A@(D)WH5<XwcJ2{GzS|`==_{|4S7l
zrJ=j-NJ@j<XH~wv|EvP}qY6&HQ{ks4nGTEkl?p#O=GZLwjS7RlRpGny?-we3O>~bc
zIQ(xad`WeWd%@vfsvs%J-6}{*@)s4pz5lF&^N%XH{7!|Rp7J^@*I%jdlNNx@8vKn4
zL%vnvyWZdzDtt|Jk19C+Zz_CAb&o1I{!0}kM`5=Ll9Tm|3g6y;R$=ImDh&Ib3P0_D
zbXdcGrNU3zBQ|TqH!8S&tHO7E(+JM6A1YFBm*Buz-0s#%+v4vA|MUH?s<j8l{Rbq4
z&q!ZdFKx?zu)aL`AJFW7K(qf9nmcF24|8LGp4;d4PkZ1$Q~UhjS6Dr*Th3>!@B2sl
ze=xs$@hj}^9z|WUw0h{(j3tkyzAQZKOA9CcrG=CE(!$Ahw{Y?jC--irukFt7u8xu>
zcqB(QW_C<qgv9jt=d;K2`|f(wx83z<j^_{Q{DPtF`1kjlq;>k-7IJO5pW%NMcaMOd
zJDQ#Wf7|SIHwq)aWXq#FTS}4-x$h!c#98n|2&#Xrh<_R)?ksKZU$#V}y~etEx=kGF
z9pK|JdMx)J$!Gm4-1(e&Kai_@L;krjnx*a4BlVZA>Axdh!ddhKvHCy6e>WjNiTms6
z$hG<J=ofJ2|3Lpu(*NpHB;-9s{<Ty2@2Gzl`QM@StoYXx>HjP8zk=&I@~_>&|4-z9
zht_lC{~Wjf9sTb#|0}qjBma6L|98~?a*xOUw|hMHf8OJ<J+AbxUq(NT`j^DNTj^gv
zG`Ky-{r5)r`5ylz{qOYtE4ZE`|Lq?CCH3zj|2wpvBma9N{69thS8zQ?{@XqNKSlm`
bXgx>%FZTE^>3^sBU%~Yp`EU35uc-eILtth=

diff --git a/linear_regression/variables/variables.index b/linear_regression/variables/variables.index
deleted file mode 100644
index b91330644150e8c775fbfc47fe4f66a4454a0eaf..0000000000000000000000000000000000000000
GIT binary patch
literal 0
HcmV?d00001

literal 2215
zcmZQzVB=tvV&Y(Akl~Ma_HcFf4)FK%3vqPvagFzP@^W<!iFXfj4DjG!7h+Ioan-n_
zXIdv`qsd^xmz`RaSR9{Nkg1=WT2hpmT&!=PpPXNsSE8@y7!nfX=@c5`8mu4Y7~}~y
zEX>g-)Rlt~Xvzw44HnZ9b@>nx1-_E}lEfTB8kT@G$Zd6)#bC;tlUSKr6kncMk`Z5?
znwg$aQmjjawVXg}B{Vop4>K$Ih|2TlrY7d$x0FSQiGx{#$235Hj;^S(U|C{OW@27)
zDiN9#c!1i1H`(nLRunSSPs&UzCag(Lp@UhY!ql!xDN@>0$Uh*&)7LY~H7GvV$3H|r
zzn~;DH?u0WNI#btlcq=kO_F}|EW|`csEim54TeAs9K255qKaa`IL%8X5FZ?%paEhz
z1qF>4Os10ds{3S3#mRLv!n8HwAmhYjT;<JV#0j_@p=*X7NLT3%?)kv*HX<^-xfC|=
zYG|0Y&RUX7VR&;X>`?)lbouXOf8xTMOJRjIP{a8PE7cjy#IdAiBYk2cK@J!RTnY^=
z8XGuGxeRAXQy2>n<9eh)##IJh(I+kzAi91Sf^=E#iq-+ff-#Y?AgORbR3pXI`1@Rc
z3S&W1;fxN@Bu2jKMa0E|q{0qopoXxe#;ZjY#fc4YE?|I5D%{}Jc)@O}clg3}3IiNs
z+!Ga$aiVEf?!*N+MArptkgh5|@matCHz6{>85KG}C25<h;Z_O*oKazl9?+!9Kk1>w
z1vsNZgDc4D>at5D6f=^*0B2NKA_k1A+k3+`WlhB>DP|z1ZO{dp*3?vY)J#T<h*Ack
zX^sm}Q-?E?0E0FkqC8GYElG?w#9ziTC`<u``QO*a?_=sUBBXZ)Nbl~qzix6V@TH_C
zCsq>DFbAYzS+$@Qmpor)39!z<Qx}6O#U62Bt=Lq0>k5|!UruUbQC?<VdVEo034xl9
zL16*NqRi8wMhrku&CI}%&Cb98q!<|N)@%y^(TpJCz^8>97#Nug7%mFH#S{}4N?jA+
Ucr3sV62cF{e>Zfil)B#r0JoGr-~a#s

diff --git a/requirements.txt b/requirements.txt
index 9c2f7b9..37bf8a9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -3,6 +3,7 @@ astunparse==1.6.3
 cachetools==4.2.1
 certifi==2020.12.5
 chardet==4.0.0
+cycler==0.10.0
 flatbuffers==1.12
 gast==0.4.0
 google-auth==1.29.0
@@ -15,14 +16,18 @@ joblib==1.0.1
 kaggle==1.5.12
 keras-nightly==2.5.0.dev2021032900
 Keras-Preprocessing==1.1.2
+kiwisolver==1.3.1
 Markdown==3.3.4
+matplotlib==3.4.2
 numpy==1.19.5
 oauthlib==3.1.0
 opt-einsum==3.3.0
 pandas==1.2.4
+Pillow==8.2.0
 protobuf==3.15.8
 pyasn1==0.4.8
 pyasn1-modules==0.2.8
+pyparsing==2.4.7
 python-dateutil==2.8.1
 python-slugify==4.0.1
 pytz==2021.1
diff --git a/results.txt b/results.txt
deleted file mode 100644
index 9a9dc10..0000000
--- a/results.txt
+++ /dev/null
@@ -1,331 +0,0 @@
-0.5936598
-0.5849244
-0.76666903
-0.67934513
-0.64723533
-0.70146203
-0.6212848
-0.69352806
-0.71430266
-0.6349592
-0.6037227
-0.62602526
-0.716088
-0.6527825
-0.61927134
-0.6208715
-0.5705818
-0.5874928
-0.6404664
-0.58791584
-0.67543894
-0.62167656
-0.6206067
-0.64806134
-0.5552458
-0.75341594
-0.6072247
-0.6813532
-0.58791584
-0.60726017
-0.6250376
-0.62341076
-0.5916721
-0.73439735
-0.70303845
-0.6799106
-0.6091962
-0.61927134
-0.8370657
-0.61847275
-0.62586755
-0.68109375
-0.5506313
-0.54138035
-0.59432256
-0.5910602
-0.5725273
-0.61110884
-0.6139354
-0.698549
-0.6325473
-0.6033801
-0.63960016
-0.6930497
-0.6141507
-0.690398
-0.6700437
-0.54408246
-0.54744244
-0.67295927
-0.5979732
-0.67771566
-0.6260898
-0.6237586
-0.6182915
-0.5431411
-0.6237045
-0.56352425
-0.5980723
-0.7263526
-0.61543685
-0.6306595
-0.6136954
-0.6077196
-0.54555225
-0.6265953
-0.6129655
-0.6964393
-0.5952996
-0.76597196
-0.612132
-0.7141346
-0.61887026
-0.62167656
-0.78501934
-0.5870993
-0.622163
-0.7269425
-0.6047483
-0.738512
-0.62428063
-0.5981832
-0.6053737
-0.57737106
-0.6236219
-0.66317254
-0.57937706
-0.7312876
-0.6494799
-0.63968897
-0.5651109
-0.6759594
-0.5775144
-0.5936598
-0.63960016
-0.58682525
-0.71019185
-0.56100094
-0.67674595
-0.6096024
-0.69002897
-0.6200595
-0.57937706
-0.7399035
-0.6408503
-0.6944639
-0.61505663
-0.65129274
-0.62243
-0.60202354
-0.58697325
-0.6366977
-0.6581801
-0.5887744
-0.64327353
-0.5775144
-0.600708
-0.7870045
-0.66495174
-0.73288137
-0.6411598
-0.5922716
-0.82116383
-0.6830768
-0.5775144
-0.5493086
-0.60465336
-0.71464497
-0.63086146
-0.8296491
-0.6182472
-0.5995659
-0.6235519
-0.55489665
-0.6356955
-0.57629323
-0.6342664
-0.64431417
-0.60523593
-0.65745866
-0.684063
-0.7090692
-0.551341
-0.6960265
-0.6134735
-0.6319828
-0.69399494
-0.6586382
-0.6184454
-0.579377
-0.5624325
-0.6291094
-0.5526188
-0.6200053
-0.67691404
-0.64806134
-0.71236795
-0.5982099
-0.7223163
-0.70254266
-0.5769756
-0.6886634
-0.5427406
-0.6079933
-0.69164056
-0.7077326
-0.719109
-0.66267097
-0.579265
-0.69516224
-0.5506313
-0.61759067
-0.62851924
-0.5809279
-0.7018177
-0.7282298
-0.6892376
-0.72701484
-0.5552458
-0.62603444
-0.6191902
-0.64947087
-0.5757011
-0.61934066
-0.6420203
-0.68608767
-0.6914434
-0.5648086
-0.5936598
-0.62404615
-0.58697325
-0.68826014
-0.5743765
-0.62311804
-0.5673747
-0.6645754
-0.6006698
-0.6139312
-0.605672
-0.61527056
-0.61543274
-0.6497899
-0.6445152
-0.6175213
-0.613054
-0.63025105
-0.66208804
-0.56561863
-0.60712475
-0.5769756
-0.6977379
-0.7078162
-0.6081246
-0.6097158
-0.6237586
-0.5988606
-0.6206067
-0.6527825
-0.66423184
-0.6055651
-0.6602301
-0.68199044
-0.5838982
-0.6191426
-0.5835939
-0.5699177
-0.59172297
-0.61360157
-0.5893885
-0.6019349
-0.6636439
-0.6308284
-0.61177546
-0.60210186
-0.6817741
-0.78398675
-0.6113895
-0.6719309
-0.600708
-0.7056101
-0.6404664
-0.57761484
-0.5705818
-0.64431417
-0.6320444
-0.7149821
-0.66350126
-0.6117868
-0.6053978
-0.65883034
-0.6160903
-0.62467444
-0.6141507
-0.56460583
-0.6075608
-0.71549106
-0.59031665
-0.5947179
-0.5578261
-0.68199044
-0.6732133
-0.58061934
-0.75385326
-0.63099474
-0.55258214
-0.6357683
-0.6386257
-0.6683411
-0.617758
-0.8129497
-0.6143774
-0.61251193
-0.67745715
-0.6147938
-0.7365375
-0.6236495
-0.6806918
-0.6894972
-0.6269105
-0.6205633
-0.66388756
-0.6088129
-0.6154119
-0.62330747
-0.62925434
-0.6778992
-0.5844303
-0.6399225
-0.6335639
-0.66535574
-0.54796815
-0.6119701
-0.61533546
-0.72435665
-0.69239396
-0.70170265
-0.6722494
-0.69742507
-0.6009209
-0.615307
-0.6636749
-0.5761081
-0.6136954
-0.57523835
-0.6359734
-0.60489464
-0.6540913
-0.7366513
-0.58649015
-0.6129386
-0.5581885
-0.6212848
-0.5769756
-0.61741394
-0.57121605
-0.6268614
-0.6249659
-0.6359734
-0.660387
-0.7373885
-0.7026211
diff --git a/training.py b/training.py
index 2c722d6..1cf28f9 100644
--- a/training.py
+++ b/training.py
@@ -11,7 +11,9 @@ from tensorflow.keras.layers.experimental import preprocessing
 
 arguments = sys.argv[1:]
 
-activation_func = [command.split('=')[1] for command in arguments if command.split('=')[0] == '--activation_func']
+verbose = [command.split('=')[1] for command in arguments if command.split('=')[0] == 'verbose']
+epochs = [command.split('=')[1] for command in arguments if command.split('=')[0] == 'epochs']
+
 
 pd.set_option("display.max_columns", None)
 
@@ -32,15 +34,18 @@ else:
     model = keras.Sequential([
         keras.Input(shape=(len(columns_to_use),)),
         normalizer,
-        layers.Dense(30, activation='relu' if len(activation_func) == 0 else activation_func[0]),
-        layers.Dense(10, activation='relu' if len(activation_func) == 0 else activation_func[0]),
-        layers.Dense(25, activation='relu' if len(activation_func) == 0 else activation_func[0]),
+        layers.Dense(30, activation='relu'),
+        layers.Dense(10, activation='relu'),
+        layers.Dense(25, activation='relu'),
         layers.Dense(1)
     ])
 
     model.compile(loss='mean_absolute_error',
-                    optimizer=tf.keras.optimizers.Adam(0.001))
+                    optimizer=tf.keras.optimizers.Adam(0.001),
+                    metrics=[tf.keras.metrics.RootMeanSquaredError()])
 
-    model.fit(train_X, train_Y, verbose=0, epochs=100)
+    verbose = 0 if len(verbose) == 0 else verbose[0]
+    epochs = 100 if len(epochs) == 0 else epochs[0]
+    model.fit(train_X, train_Y, verbose=verbose, epochs=epochs)
 
-    model.save('linear_regression')
\ No newline at end of file
+    model.save('linear_regression.h5')
\ No newline at end of file