From 90dc43356b36476b3a5f3d0e2d5653d59dd251a1 Mon Sep 17 00:00:00 2001 From: ethanweed Date: Fri, 19 Apr 2024 11:24:53 +0200 Subject: [PATCH] Update documentation --- 04.03-estimation.html | 176 +++++++++--------- ...7d00d4fac2a09b4cc118dacc05a178e1691bf4.png | Bin 0 -> 18903 bytes ...f9579bc1dc69fa8094b46ce17c7c54c7dfb18d.png | Bin 0 -> 19406 bytes ...760e613fa2ad204bbddd225e82ecebb0c74f80.png | Bin 0 -> 16337 bytes ...82aee5f2da77ba7eddaa9300894de289ffca45.png | Bin 0 -> 18383 bytes ...d008f0af87fc9fb061c97a17774331984debed.png | Bin 0 -> 44688 bytes ...65535bc4e6cbfe4f24ba359fb715b1c692cefa.png | Bin 0 -> 18647 bytes ...8ad8220c2643ced168592d281911a5dc3bc727.png | Bin 0 -> 36630 bytes ...259d66931a356fbbc68bbd1c34a440d3469423.png | Bin 0 -> 37468 bytes ...3f53643d5f7b69c55af74fd9274e8f3a6ae328.png | Bin 0 -> 43965 bytes ...8b6424822075e88c7efc96dd1bcdb3067489c2.png | Bin 0 -> 26722 bytes ...3cd92976a804eeed5d6eb780580ce85ba96162.png | Bin 0 -> 60896 bytes ...80ba51025cb178b6ac30ddd53401cbbcdb082e.png | Bin 0 -> 20383 bytes ...6795a9a894a6bb977e6333a42fef7f552f2b75.png | Bin 0 -> 13935 bytes _sources/04.03-estimation.ipynb | 2 +- searchindex.js | 2 +- 16 files changed, 90 insertions(+), 90 deletions(-) create mode 100644 _images/18a613c84d2a62121021c5bc777d00d4fac2a09b4cc118dacc05a178e1691bf4.png create mode 100644 _images/3b531d002a4096785d99b61772f9579bc1dc69fa8094b46ce17c7c54c7dfb18d.png create mode 100644 _images/40affcf665a1aa03d682e04a85760e613fa2ad204bbddd225e82ecebb0c74f80.png create mode 100644 _images/5294d389304b664d35c2d0850582aee5f2da77ba7eddaa9300894de289ffca45.png create mode 100644 _images/5d67480d4ae090f29ba2bbc2c7d008f0af87fc9fb061c97a17774331984debed.png create mode 100644 _images/5e65a846e0af730b84e022268d65535bc4e6cbfe4f24ba359fb715b1c692cefa.png create mode 100644 _images/7325fd9f87e21f7b45a565e6e58ad8220c2643ced168592d281911a5dc3bc727.png create mode 100644 _images/af7e2a301845c0184fd2c21753259d66931a356fbbc68bbd1c34a440d3469423.png create mode 100644 _images/c2dd62e6eb14fe4891579b86603f53643d5f7b69c55af74fd9274e8f3a6ae328.png create mode 100644 _images/c80cce23b577fe8f51c3f2345a8b6424822075e88c7efc96dd1bcdb3067489c2.png create mode 100644 _images/cf611046e2cde6a827614208b43cd92976a804eeed5d6eb780580ce85ba96162.png create mode 100644 _images/dc1b2baff44436df3147e0caf580ba51025cb178b6ac30ddd53401cbbcdb082e.png create mode 100644 _images/de5710abc1af1ae01e1c2751466795a9a894a6bb977e6333a42fef7f552f2b75.png diff --git a/04.03-estimation.html b/04.03-estimation.html index 778c3359..a9212544 100644 --- a/04.03-estimation.html +++ b/04.03-estimation.html @@ -540,7 +540,7 @@

11.1.5. Population parameters and sample
-_images/b59d951d489a29953f1f240211cf33bdf6e441bc8821b9726c0a9bcb25412816.png +_images/c80cce23b577fe8f51c3f2345a8b6424822075e88c7efc96dd1bcdb3067489c2.png

Now suppose I run an experiment. I select 100 people at random and administer an IQ test, giving me a simple random sample from the population. My sample would consist of a collection of numbers like this:

@@ -571,9 +571,9 @@

11.2. The law of large numbers -
10 samples. Mean:  103.53960547224054  Standard deviation:  16.186167782018202
-100 samples. Mean:  101.17191341063791  Standard deviation:  16.86103856998936
-10000 samples. Mean:  100.04894765095658  Standard deviation:  15.098657549401311
+
10 samples. Mean:  102.5083916244877  Standard deviation:  18.72448042232567
+100 samples. Mean:  97.95368145848558  Standard deviation:  17.12238658574764
+10000 samples. Mean:  99.93179094823645  Standard deviation:  14.95182846479696
@@ -607,8 +607,8 @@

11.3.1. Sampling distribution of the mea

-
Simulated data:  [106 125 106  77  98]
-Mean of simulated data:  102
+
Simulated data:  [ 93 118  89  88  79]
+Mean of simulated data:  93
@@ -623,8 +623,8 @@

11.3.1. Sampling distribution of the mea

-
Simulated data:  [ 89 107 121 102  56]
-Mean of simulated data:  95
+
Simulated data:  [ 90 109  91  91 103]
+Mean of simulated data:  96
@@ -683,93 +683,93 @@

11.3.1. Sampling distribution of the mea Replication 1 - 100 - 111 - 92 - 83 - 112 - 99.6 + 99 + 84 + 105 + 102 + 91 + 96.2 Replication 2 - 106 - 102 - 78 + 127 + 127 92 - 96 - 94.8 + 88 + 121 + 111.0 Replication 3 - 112 - 81 - 106 - 109 - 92 - 100.0 + 90 + 114 + 125 + 98 + 99 + 105.2 Replication 4 - 107 - 108 - 95 - 96 - 48 - 90.8 + 115 + 114 + 72 + 122 + 103 + 105.2 Replication 5 - 88 - 94 - 107 - 131 - 105 - 105.0 + 92 + 93 + 98 + 109 + 122 + 102.8 Replication 6 - 118 - 98 - 95 - 102 - 106 - 103.8 + 109 + 92 + 104 + 79 + 105 + 97.8 Replication 7 - 81 - 77 - 87 - 80 - 122 - 89.4 + 91 + 91 + 104 + 61 + 98 + 89.0 Replication 8 - 101 - 103 - 85 - 91 - 96 - 95.2 + 82 + 83 + 73 + 108 + 92 + 87.6 Replication 9 - 119 - 109 - 121 - 120 - 105 - 114.8 + 107 + 84 + 102 + 118 + 95 + 101.2 Replication 10 - 96 - 125 - 96 - 88 - 76 - 96.2 + 77 + 91 + 113 + 108 + 97 + 97.2 @@ -783,7 +783,7 @@

11.3.1. Sampling distribution of the mea

-
[99.6, 94.8, 100.0, 90.8, 105.0, 103.8, 89.4, 95.2, 114.8, 96.2]
+
[96.2, 111.0, 105.2, 105.2, 102.8, 97.8, 89.0, 87.6, 101.2, 97.2]
@@ -839,7 +839,7 @@

11.3.1. Sampling distribution of the mea

-_images/34967f35ee18db03222a750274dea854c2ca237d4d2d4c5947f979022246f78d.png +_images/18a613c84d2a62121021c5bc777d00d4fac2a09b4cc118dacc05a178e1691bf4.png

Sampling distributions are another important theoretical idea in statistics, and they’re crucial for understanding the behaviour of small samples. For instance, when I ran the very first “five IQ scores” experiment, the sample mean turned out to be 95. What the sampling distribution in fig-IQ_samp_dist tells us, though, is that the “five IQ scores” experiment is not very accurate. If I repeat the experiment, the sampling distribution tells me that I can expect to see a sample mean anywhere between 80 and 120.

@@ -898,7 +898,7 @@

11.3.2. Sampling distributions exist for
-_images/dcb6bc54906231381f3944979f12aca8e15ef7c89923f6e1ba9a7dbb4c1fd779.png +_images/5294d389304b664d35c2d0850582aee5f2da77ba7eddaa9300894de289ffca45.png
@@ -964,7 +964,7 @@

11.3.2. Sampling distributions exist for
-_images/896164f9ef06dcf80e44e9ce42da9fda9d59eff50d78f402dcd18ba5a4c2723c.png +_images/c2dd62e6eb14fe4891579b86603f53643d5f7b69c55af74fd9274e8f3a6ae328.png

Okay, so that’s one part of the story. However, there’s something I’ve been glossing over so far. All my examples up to this point have been based on the “IQ scores” experiments, and because IQ scores are roughly normally distributed, I’ve assumed that the population distribution is normal. What if it isn’t normal? What happens to the sampling distribution of the mean? The remarkable thing is this: no matter what shape your population distribution is, as \(N\) increases the sampling distribution of the mean starts to look more like a normal distribution. To give you a sense of this, I ran some simulations using Python. To do this, I wrote a function called plotSamples that produces the “ramped” beta distribution shown in the first histogram below when \(N=1\). You can use the “click to show” button to take a look at the code, if you want to see how it works. The important thing for our purposes is that, as you can see by comparing the triangular shaped histogram to the bell curve plotted by the black line, the population distribution doesn’t look very much like a normal distribution at all. Then I provided the function with increasingly larger numbers of “participants” for each simulated experiment. As the size of \(N\) increases, the sampling distribution of the mean looks increasingly normal, and by the time we reach a sample size of \(N=8\) it’s almost perfectly normal. In other words, as long as your sample size isn’t tiny, the sampling distribution of the mean will be approximately normal no matter what your population distribution looks like!

@@ -1033,7 +1033,7 @@

11.3.2. Sampling distributions exist for
-_images/18daaf72a764216c35f5a6d05ca7d2c91b072dfb575f5bf5416ddfcfb700db12.png +_images/dc1b2baff44436df3147e0caf580ba51025cb178b6ac30ddd53401cbbcdb082e.png
@@ -1043,7 +1043,7 @@

11.3.2. Sampling distributions exist for

-_images/40e60e5572330779c322a9cf97d824e8d1c5fc6865627bdddd4a10bb7eb29b10.png +_images/3b531d002a4096785d99b61772f9579bc1dc69fa8094b46ce17c7c54c7dfb18d.png
@@ -1053,7 +1053,7 @@

11.3.2. Sampling distributions exist for

-_images/460918468a428625499180aa59a8157f85e56e654959763633953a837f72b65e.png +_images/5e65a846e0af730b84e022268d65535bc4e6cbfe4f24ba359fb715b1c692cefa.png
@@ -1063,7 +1063,7 @@

11.3.2. Sampling distributions exist for

-_images/e00c5386b61ef06697993150a21b871675965ba2cb64c425ecafa288f2efed29.png +_images/40affcf665a1aa03d682e04a85760e613fa2ad204bbddd225e82ecebb0c74f80.png

On the basis of these figures, it seems like we have evidence for all of the following claims about the sampling distribution of the mean:

@@ -1166,7 +1166,7 @@

11.4.2. Estimating the population standa
-_images/821ce1f34e583d8a2662e393bdd9766bbf1cade6bdc0c9e1f7629a20becd6394.png +_images/de5710abc1af1ae01e1c2751466795a9a894a6bb977e6333a42fef7f552f2b75.png

This intuition feels right, but it would be nice to demonstrate this somehow. There are in fact mathematical proofs that confirm this intuition, but unless you have the right mathematical background they don’t help very much. Instead, what I’ll do is use Python to simulate the results of some experiments. With that in mind, let’s return to our IQ studies. Suppose the true population mean IQ is 100 and the standard deviation is 15. I can use the rnorm() function to generate the the results of an experiment in which I measure \(N=2\) IQ scores, and calculate the sample standard deviation. If I do this over and over again, and plot a histogram of these sample standard deviations, what I have is the sampling distribution of the standard deviation. I’ve plotted this distribution in fig-sampdistsd. Even though the true population standard deviation is 15, the average of the sample standard deviations is only 8.5. Notice that this is a very different result to what we found in fig-IQ-clm when we plotted the sampling distribution of the mean. If you look at that sampling distribution, what you see is that the population mean is 100, and the average of the sample means is also 100.

@@ -1248,7 +1248,7 @@

11.4.2. Estimating the population standa
-_images/4531874074920abf560164e981a1b1adfaec95dfa97869cca8cd78e571562065.png +_images/7325fd9f87e21f7b45a565e6e58ad8220c2643ced168592d281911a5dc3bc727.png

The fix to this systematic bias turns out to be very simple. Here’s how it works. Before tackling the standard deviation, let’s look at the variance. If you recall from the section on measures of variability, the sample variance is defined to be the average of the squared deviations from the sample mean. That is:

@@ -1471,9 +1471,9 @@

11.5.2. Interpreting a confidence interv
-
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_63592/4220361125.py:39: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
+
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_7964/4220361125.py:39: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
   ci = t.interval(alpha=.95, df=len(simdata)-1, loc=np.mean(simdata), scale=sem(simdata))
-/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_63592/4220361125.py:39: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
+/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_7964/4220361125.py:39: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
   ci = t.interval(alpha=.95, df=len(simdata)-1, loc=np.mean(simdata), scale=sem(simdata))
 

 

@@ -1485,7 +1485,7 @@ 
11.5.2. Interpreting a confidence interv
 
 

 
11.5.3. Calculating confidence intervals in Python#

-
To produce the confidence intervals for the plots of simulated IQ data above, I used the t, sem, and meanfunctions available in the scipy.statspackage. Another option is to use the tconfint_mean  function from the statsmodels package. As you can see, both methods give nearly identical results. Method 1 is good insofar is at requires you to explicitly specify the desired confidence interval, the degrees of freedom, and the standard error of the mean. Method takes care of all of this for us, which makes it easier, but a bit more of a black box.

+
To produce the confidence intervals for the plots of simulated IQ data above, I used the t, sem, and meanfunctions available in the scipy.statspackage. Another option is to use the tconfint_mean  function from the statsmodels package. As you can see, both methods give nearly identical results. Method 1 is good insofar is at requires you to explicitly specify the desired confidence interval, the degrees of freedom, and the standard error of the mean. Method 2 takes care of all of this for us, which makes it easier, but is a bit more of a black box.

 

 

 
# Sample data:
@@ -1511,12 +1511,12 @@ 
11.5.3. Calculating confidence intervals
 

 

 

-
Method 1:  (9.514149929408497, 15.485850070591503)
-Method 2:  (9.514149929408497, 15.485850070591503)
+
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_7964/1339756836.py:7: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
+  ci_1 = t.interval(alpha=0.95,
 

 

-
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_63592/1339756836.py:7: DeprecationWarning: Use of keyword argument 'alpha' for method 'interval' is deprecated and wil be removed in SciPy 1.11.0. Use first positional argument or keyword argument 'confidence' instead.
-  ci_1 = t.interval(alpha=0.95,
+
Method 1:  (9.514149929408497, 15.485850070591503)
+Method 2:  (9.514149929408497, 15.485850070591503)
 

 

 

@@ -1641,14 +1641,14 @@ 
11.5.4. Plotting confidence intervals in
 

 
 

-
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_63592/3591514384.py:9: FutureWarning: 
+
/var/folders/6m/mwt0c30539b1zrk5vf14dpr44pd98r/T/ipykernel_7964/3591514384.py:9: FutureWarning: 
 
 The `ci` parameter is deprecated. Use `errorbar=('ci', 40)` for the same effect.
 
   sns.pointplot(x="time", y="total_bill", hue="smoker",  ci = 40, data=tips, ax=axes[1])
 

 

-_images/836d599b130ba5b08f6e8e9db87c138ea6de81f3fd0d08f3f3205c455851526d.png
+_images/af7e2a301845c0184fd2c21753259d66931a356fbbc68bbd1c34a440d3469423.png
 

 

 
For regression plots, seaborn computes a confidence interval for regression line by default. This can be turned off with ci=None, but I think it is good practice to include it, because it gives a nice visual indication of the strength of the model.

@@ -1673,7 +1673,7 @@ 
11.5.4. Plotting confidence intervals in
 

 
 

-_images/7f2959939539671e8609a07c12cd7f8cbdb2c3981711cee476c39dfff6d9e21b.png
+_images/cf611046e2cde6a827614208b43cd92976a804eeed5d6eb780580ce85ba96162.png
 

 

 
For regression plots with discrete variables on the x-axis, seaborn has options for either showing all datapoints, or showing only the mean with error-bars indicating the confidence interval. There are many more details and options to be found in the seaborn documentation. For more complex or custom figures, like the one in fig-cirep showing confidence intervals for simulated IQ data, you will need to dive into matplotlib, which allows much more customization than is available simply using seaborn.

@@ -1700,7 +1700,7 @@ 
11.5.4. Plotting confidence intervals in
 

 
 

-_images/abd78ed4d2acf7ab45d8cbb4f1fd8b4e64fa685e96df207e8125d920ed4333b7.png
+_images/5d67480d4ae090f29ba2bbc2c7d008f0af87fc9fb061c97a17774331984debed.png
 

 

 

diff --git a/_images/18a613c84d2a62121021c5bc777d00d4fac2a09b4cc118dacc05a178e1691bf4.png b/_images/18a613c84d2a62121021c5bc777d00d4fac2a09b4cc118dacc05a178e1691bf4.png
new file mode 100644
index 0000000000000000000000000000000000000000..24a419afe99b5b6789a5fa7ee8771b6d59eba63e
GIT binary patch
literal 18903
zcmb`vc{G(>_&)xa=W>h@GAAj85R&1Tha{CGLljCGGG$5wj*?K6QW-+M4TvH|<{=u6
zCJ7N0Z|0Or<$LYk&-#4-`u+1=zqQ_Xwaz)udCq?JzV~%s_jO-el7qd40Iwu3MNtA)
zmUKsoVr8Q!mJ)7GyrZ>mHx2)+4KZ^L*%YulB-}H27iH%e66hZg;_tUpHf&e$0l$F#
znk#iyu2z%v4G9T6pr@|B?|&~?84&EF{+5?J5jWupwA^-pq856R|5>iCFY==(E4mfk
z*eN1=tT)_w)2Bi0NqxB^+?IUD8I@)nceZdW-P3fLSM}=6%DTfY*F*P~-po&_dE&CK
zcYDJ9J)bY_Td}~X^zQM>&ng~uN&e|y{tW1B%)TnOA^pIiTgwlfYqGn`
zS=!pt-`w7ncJ7>W*FoH_wYD+~x3&D}%!yatDZBpvd||JoN70gkK0T2(h@4S*7kc;Z
z-N29#kuwYi-BUs~Jt;Yv|JPK@lCFn`)_+Se`8
zbX-(3&{1APD_+s6^YeJf=T|Gvtk^E56VP|;`t|E_!L+nXuJ?jDgq3Y;U)|iEcJboH
ziMx4bCqB-FZ`rb?=Fs+S+XeVXTGMw1US^Tk%t%i^;@OZ;*V`-o
z`E{{HSeW*s%oQh6Qw9BdDrwiQUAwxiNJh%${=X}qd{E6x-@fM9v12*@Z*I3fdD8sz
z>*s;-@f3VpPD#mZrr3-gAE(Ji->s~#zxcq%j=GL4&9ux+PHOV&*QRp6=MEM7cc_T)
z_Qvd3ey=Xd)w!m{;xTvg&Fg1nt%Tmcf4?gBSHx)VeR0ae$0zaGGlygeO->9wVXlC2
z)gfqiTx+tTl2WeO39&`%V+}exJIU>&3?c-hzKt4JM}D0aJ^Xs3ipbTi#WLSU-yA*4
zwJ>jgZqzMb>Cl1jSCEKYq3Fori0_WH4O=xVSM?^%(
zDl2oYi~4rV@!G>vm5$fwPcN;bEndtQ9v-f!tem&4Y`63Mu$z6coV27m4I}S*MXUOA
ztG%981h@|k4ds|7F3=5n&)(D1!#n0vb?@FlW0Ej8H@6Yi;pfcA(bZnfIn@0nw6rvY
zyT-l+%Tetf#j
zMk(8#i(}?n@Y%DI#T#rn#YOQ;Xt2|0v?Iba<^>PjR_=cIg!#Lg7#0do-Za#9nqz6?
z&PQjKEz%27p>j4{Hted7s_3WFogCEI=*sWA@9Z6ZQ?~TQo;62~9$g*K_dv&mezjzo
z2ye#)orQIEbq?2G4!^uE{^!T1CCpOBRf;?;nLAcCwxIbxFS$na1=PH
zmPY>weo^ecWOlsQ)Wf6yz)}l&`9ZJfLw1bewF(v~jn_66_4oJ3*+Ez4xpMY)
zd3j@@-39XI>7^TXzPP$EPl3kVTf#3WaWC}qE6=I-O%5s|jO1iG_7vSB^5*o1_RnGR
zuI0WoY{I3wG+H$;0)}?t)Tx%*!)z>+`=Q@!qGMt>ma6KmU%$S0;1nCzg2o?TK5;CS
z&pS(|-7zaGi<_UH9vP_@9UV=UijgwYti0h8|B@w3t`rsJANcg7wWC8sI*H*Hw=1sI
z(he&)H8m9&7S>!9`q{(NbLz>{k(XVIZ)Nm^oPF^^KhpANu$Y*bbH#q??28v^OO~8k
zwy99$-=_-yE#5Kvi+b^E4}7Gk%#}NiI~G`vd^mVIJ)j}V_1t*gmg`@q9~3+O#TWX`g(G=1I|Km2nfKVKpC`#@qv>?I!^o<%#$YOnwLK6olHFt8R^tlIlZ
z&2ued_@FA2g)yA;{db@F?7;pU`1C0;J6j4^
zw#fT3hkWEZWD$i@U#7g&`dF#3urTM_-bouTh8wwy@N!^Yc(-rgj!&|S^p!P)5SQk%
zYu1PYX{pJG%ZIU}c&ktZtkU{nc-ZD)X1-aAT>2W^@-RWc-*dD1
zmTB_m)8w%&5B`}gH_7Nd$C*>3i8k~dxM@NO-3
z6U|O&{Z)#cL&lwU_AHmXyStWOCtdx2x43w5b6?~^H?RJ&v6I^Sx@FbXPkl&gB{<0Y
z=IiIzGzkeF>YTyB+kKaGmi^Fv&=Nng(yFcE>$jd}51=jumcu=+Z{*ba_Y2|gViF%b
zFevwbBZTjYOSgCvv@|p{Y;A8J{O1@w9&>qB5DVe~HbTXzKm6qwDET};=5eOF`;*N)
zNxZanYNOoGfy5=LSy?;HVu$5Zbv>{E8KJh?Fml8b(f*nCFDK*@=9YJ9~z^O7U%u%=Gk~
zP8Q2TM!RU6uWxBWl!u&ovdEp(
zs_=1FZyz7N$EMyXwx85R(s+3I_)HxggH5p6O_M1y>m)NXGXs7}HJ2yEt@hV0L88FsW1-4+KR)7eQ#*oF{y?FS
zbX;qX|J%C)XVu*kjvi(EIXh8&_S1_$iNDGTFdrO$&D^j3?D%<_f9mDA8!T*`9{;|$
zRv9uPbT{B#$_B$9bjtqP4+S`n5i8n3Gfox*^{kc`le`NbZG1+IUev+#%P5gPon7k+SLPr5)i$joob0
zdLc&fyrO|%&~$Ti$r&HvEQL&#yl~V6;|>*szSh^9_~)2>%WIGls8&gjkLO5OAkEu9
z<(ZJKC^7R%n4oN4cu0ROOJhq*!;>cq>_$
zCZ)WL_4m)OrbzEi328Lo*v#kG3n_6q`N*x9`!xhnSbbE?~7&3
zAcie4mbu;eLBwiGcGW6DdwcsM&r?sI76yT0F_2g+ud0iQ(+Qa!-*IDm#R4i^N=v!B
zl#mGwZmF(7njgSC(sb{u8^&9!kTf$)pt1`RA2EUeS|vT;M8=pvuTK8p|+s
z0Y>@E;lkWRehJoi6FFU)AE+Fmh_!=u9Fix^vFD$IB+qazkTGC@xaCJoy~nmn9M+vl
zmRT2>gO_A~0O1w!{B0nVk!*kID?1lgLvyovpk!p`&6_L06*2hbfAe}CYgNpgcI=-Y
zK2$9z*w>#uZYQe;T-xlyt?a7vUw=9)Jl5s^u12~dVDYyXkLZQR0ZehPZfrXWAk^~j
z61=nLW#{JuOO@Uw%vP@IHM_ax^Vc6Au57vK;`=Oz1%Y1@Hs(U+krmL#;;SWj!?~1|
zTIEqo)%gvFmV1?ha$2S+1oXohT
zrPC_%H9=9)_+!V|ySln^z!CBWpDq5Ena_1xba}#;PfrK25P(4mP=>s%&z|t20u^XF
zAugVs(C37W!o0a%hw4d79o|gF_x{iCxvmEXHL3mbt9EslzAg6?2H{cH=KovBL?#I=
z)|OqqoR8GF*l1=gxfL&RjM>07*tTuk)>Roqa)f!(uDD?(%rpl@h~$RN{`H_^C_1_N
z+s+AXjKzr6CxKB4+S+2O8N8?gfi-;_i`}Yo9Ipuq3m*lVA5Ss$4j}{b`1*GOMqntjPP@p3xP0>HF0h8X7})<
zI5M(^D`HwcuLaNj=Mz?qY#D!lf5AnIRP+{zrq|XQVTJqOH=RIjdyY)>VNCR)@|Mft
zBb^-3CXPIJ@GLDWGd;U<2Nh^xB2P#nH8L{Ng;k`+byc`xe$KE^{(TQ5@Fo(01Pi$U
z;n;-4<8aMUDI)5GyKExw*@_As)y@ALD=*hV7PJGp4q!;sjcsL|wSxi42FucZY*Njr
zTEkWDwL#HGjZHD?b+LO3>H}Vio0nH8JAq$G_xsd8jKqaYnhB{Yk`n@L@K!f4kV;o1
zO2Acz+#|!f-m;>qPPGSv@y`?f@beY+lr^FE2M
zk9C!LRYw2Nz>G{nbUBe?%K5Er>E+tyW==eC{nTI!Se{S}D0x<$v5plPvcBf@?*h%CLe})fDkp_CH?26Fee
zO?^~!@16y6aZOGL6RJYzrMyYC&u80gt!afj}
z=|eD3Q{$&XY&wPfe7MN$fTFe8yShrf9~|6R?z^$qa~J*a;lm}jZ<|C%8`xhqTmfJ;
zF6B=h_1!8p+EuDBIyQ!w^zsY{IF%x;&l)i;BbUyH!Dj$pZn!^`K}xvt$?u&oq$<<>
z`)~DY(GyS_-o70^;dZ64u>Q>(32<3#%w$_!u@R*t-rYITS52UVA7eQl)>4OJ#H7HH
z$KJHryudNn=jkQznXQZ=)VJP)*a=uLE&xf++2=Jnu|GbD_uLQP5GX0%fSvJ%#3Tr|
z!~L**B;DiJ0N$PO!ZQmIB0O34F|=u|bW^JM5BM
z>^UD5#TaJIS!j2a2CE5U*U*3X``cnDfgE6QgO|2?O?+BVW@A^apeI&sjyIVFHsTaQ=p&hQYp~h7{%=@o
zBTmU%TGt3n1bO~gx#x~ch?*)j7PSYYq_wqGFgwBWkTYlN4MH#wVJ0Y>m{+WXnL(``
zDC5|HTShJ}l7yUqLd*bjI*y0^)K*d9MkN#|si9+C;HaZtYscYjkGuFo|MY~MLFH`U
zaLMvr`7RIS3rl-@G5pGU@;TX#k|#M&O0GF_;lc#~VGi7xj
z65AZe{D2f|@Ew}}t%G9xD2jyP1@rQ%YGe-50b@?uvkg
z78VwDeyu%g_4M*^B~_^)mxWSS3e95ASlBZOZZdUo{u-ayt8+!^R{gOgJ92HyW(%{xX;?3
za?JZDZgd5kmHU5Kk9S13rUaH%6w``KF+2vyvYHzyx}2JpmaG5mLTjp|wm$>eM|R!1
z9b2uFY=L`OT4OW*0Nk@nl#gyw5vh8^vR_qp69~WZXXKYE>59rbOO`!OxJou#$yDb0#7(iQPwGiWljDqb`=D8$3VQ*!sN`KKor$*k}}_d}co
z{rPne`@tF@q(cU0rN8{ywM|P!)ZJVICDZRCZ|83+vj02r%9wc2y0ulCT7rdHB>2Xn
zfhW*II(d3FT$CD_$rqd8h)pi#D13p9G7@Da3aQep&-~kf~w0xRY%Q=Wgi=EDlcQ}
zo>fg-hR8fkcI#+s
z;Phe?mbcZEn@0o7g?!5cI8jfA%2
z+_$j-=(~7VN-x9`zxf(qdAelxV@b*gLb0cx-!g4}=3c~PE=VylQ+QIcL^~x>4Nbxe
zU#8*=V}5c!HgR(3p8Xd^8p?6DQcs2(29w-}jGUU05ihxBPY!}LZ}7ot1Xke9p~CxD
z3j1i%N&G~qnw*?8LiGgs22~AnIU<=E6}gXv6iAOR*!%}BRea$pr@7)ya^I$Wd;gd7}zU0G8D4k6o+Ru`eU4{_Z(;eUhx@!El)L*t}znJU_
zadB~y$S5DK)=Kh&j?gvA9%glRv-YSNZFpW2-cVnk!}JB`id>C5xDXCT@UkyzA{WX%
znYj#Pvi|DXz6S80!0(fuSY9_sp2@F>kVRpy8vR95xk&w2uU-+BH{mDm1#VzIf}kU<
z3o6I`VJvb=_2RLp2(W|7L-RFVtLW-b#LWGWH_&4;2YIj!-p7(x^b)lUDHq5@`FF`;
zq7GmesSu%zBF&W3uG`~={dnV9v927GL)CWPw)lKFdtH}Yb4Z}{!$*;$LWbR{JD&V`7qUJ0Fh3UU$zAXV?(yN9}oi|Q>`O}qE3ric^;
z7cMN<6<`V@q@2RWy5rBB5z*DxZ+Q9?`iFe=^p`KD*BlEb-yNFwLv>*3|@mu>Mr%%#&5$*Hfe|Mxa%CEl9Z
z^KOnVk3b2Wop{&s@$m%~3aT4wzt&ad6JLo~QFoLJ%0Umgg!B=2?^fRP;_6{26O0s7
zZ$Z?1$1q|IP0iBS-;pR_0D+deV_JU5X9peS(*+RO7o>qTLZIl!j-NPT3W^HRf_!!{
zCr6gZ)qnj!A*dw~{kdCix$;m%2Dd(=B8M6E%uw0LilU2ka;VHm5#>0~>9n-N
zt*w?+Pf+TR&0OCpH2HS#29PTv+becJh(E@)P$tJDo_BI;iUv;3fYO*3{bM>}vY#dP
z=g3kFvk=2PSF}~iN%hAT#eNSiw3w}2X3kp(z3ncw>2iJT{*sD|#O;qPRFHu#z{e5nZjU;GibZaaP
zH8eB?#l$$NMOwb8;IX6We_Kh;HJ|f#v-4Sd=^o`2sQ)(hmgo~$%6#Y2op}mr{3wz6
zcMmq7Boj{x#`(F2^WcHWw$|3xHQVAKmgXt&F#p-SoMcxLfPhu7eTBQ9dHjKe5+)jyBAzENLfVvYg>48PG
zZSc7q!$|=fTF`9B5Bz(Z2hfQZJ{frpD%U
z73I9xN>^@bk%l)nbVRf~3ypIfJX%xbs5op#)Nyr5t=Xmg4!L?E!-6Z_9&lqn0^TuN
z`O`wc5xjJ*3}i`MAdOtxu?PcH9lK$4*)RtE^S{a*DdACQA;#2bqMVs5s#>JHM%tzV
zTa5E63Vx5GN332MG?;*uy5-Dy^%?0lfk3X1O$s8xS~A*%0+sd(6l8$MgquNkAPs05+n>feCUDsSx;PNRnnP%nLqGulS7n
zFck*-CnipzYbKA6A#96b^n&;X@7NQ2gvSxz
zYqLUit~oF?bPV+*8};$&Wp!Nv!hbuj0|H0x`Yl*u2zDj^CGWTGJ_s8qK**Euv{NH5
z>*M)yw_Kk>+h(9);d-K=-#|Bp3)#@Z%}qvZg$uHF77e$$03V0ijw$2Y46AC>QQ_+4xDVe+^Zd6#
zfy2*o$^Ko;Xtmvj{fn2B%*2iMGKq9Uq!TwO-9U=)N38P0*xy(hjlJN0MxlFQ9{p{fIni76aGjh!6zV~czJL4QyJ!c4~d-cFtANh-jUu*j1@h8FMbC-Z6a?A
z2?^o0!iee#+quVzva(dh@~vWv6D*bgak|EO=+Gf5TRJD4d_06bP4pJZW2iL^0nyfe
zbz?q7K^CqckIxhW^?n1Y*EGXy&Agi18djU_^H$Io~&~%FQWS|ZWJY7HEh`fo7CJbH_V2g!9K3JCF^Bxfi?SsctB1dO>
ztl}LjRTVyw0tFe&m%ib;LoO>`FX(Uc$+#+uonHIr&s+d0O2L<4Nw|ZjoMCm3`6>#5
z6%;n%Kjl>U$gVhE+c`T0GzLJwknI_6jqnMfMZ;P9hJ~~SR8!Fp_IO@sN7Zga3%%%f
z@_yKc#85}t(6E*KJY)^z6Wa`RDW2bbm2_&;=aN9=^eArE!~a%7=5mI
zcIJ(3no?_n*)eO)Xsf~QpwN`X5_t{awiA?_ii4&|)*--DU%v!+@MOU=n^OK~HZgN!
z6{yvWQA;x6IRcOkuOPiwvL~=jUQ6ek-6@eHUKROO^)J~urx&XF-*%YM#zGa^U*x5b
zK{-$(E9=rE&=HHwg$)8d;Dv-?x(@fn71lj`Gnv;Q1j#CVu%K4!qv97lZ?}O6uNuEyLU^F9^OTNIfhZHc7?MGTZu3tQV{{FI_ICpQI`SaXUrA5q$l
zz~n(ZLW_EOd;h9fwc_s4ELQ1&1uqm2R2=HmerygEmvWU;va+Y^$`;jJgt@2w(Iei6
z^MCZA;xE%%KxAtZAh?OCDGQ}wo@@j^AbdEgi!L=yjuDcD_u%jd!+dV=mlZ;hTLL-_
zvqKI&NobMI{%q_TZ^}LPhmw@EbXsa^9D32%-bYILTU}jT&hIaNpCr7rzOT;>T`diE
z$WOgYQ{kodjsM|Snlq>Oeqw?^cZ$Fl=%^DWS|i8!C}(c)hezc7j~!Xylst_ZvR=?n
zs@79*XeAaD6!g<~f{8t;&~(}JuQW4_!JAP~pak#20t!wK?eugq5gT!Te|W?oLmB0p
zpPYom%}7yjb(|iH*3ZB8au5014hRoS=tD?QfpYR-)v4DiD|LI99ft(_c$0{5+ZmJG
zXO9JMp`}%{;j&mZgYF@bDrc3xDrDHfGW{6o$YB*>iApoFJFjJo#P;R)KG}nw5~;cH
z6_C;twFba2lgt!5AU~d<9y$_e^dgVKnqjnC#xR~5fnLzfMy*_^Ym;fUmMH$ZjI)EO4L!i8>KgKZm;jFtn`~?_4
zb8LkzeMS|QISYI%_1rlIF;|30sd}ri?HnaHGQ7O+wvyJ)|=aNC1fqUlYVHis3h7U>4cLXM$ZmR__}
zDX&7q=ZO?abqI{X;|05uch%Y|DJpt&m-|t1u&FiF)ftoZF-u8Fsk*}j1bTFbt3#wc
zPNLISt7_Rglp|;h+Jz{}Yk2nF4^J#ER>zO63hXxmnlRHWpE`4PJOf0c?{bJVTrj}*
zBS}fa7vT$4b9=A|;X=wOc*D5<=W5&N=m+Dga_$}Yl!rnMKB%;9==!kM%#G_)wcxIT
zOO~kX(nf?agto_z%^VyAZWR^L3sQtAtmtUR|~DBeb`TXaT@4)GBqa
zvT|5V16sV~PA@OuMvRBVDmDoT3GM|85}-k0GZ4WT+pIM?6y`Wc+eh&>28bfq%pxzm
zQNx4N{FKZ|B+%NXCXgRBG$I(@9s~99Dm$vQR=QRaFC_wNg0ZW%aUasEO{Usmj1W~}
zWu+iZ;utI?q-5-$Dr^JWP7w(!QFn0-UI=^SbZ=4lfn|*{Cp1E|$~56GBY?GW<3snOpaGqKB714#D0I688PT~qat%ccbg(T8W;5Ipch$BwH8u{5
ziT(Wfx%gloi@XL8r1_?;?lBzwQ%C5C-6O)x>m~e)N{Oce3I$QtFgJy^S@L>9w2g=D
zV6a3}guIPn?Vd?4%}ZjHV@1F_bHsNl9OBS}h#%ToDe(luHW4OgsNny;x_JV^7aVf$
zfr5EnOuorO;tFRnGZV;?Km@$%bWJF1qE7&oD$KczzH=}=5VefdJJ@EV34kc0x8(U?
zXj$kdMo+gbWkCB$5>hI`Oq@~OY#pK|pI7k_U3H8)7kO7V^j{IZ@bP3^%`6>;rNo?`
z&y-bEWanBSWmLMesU&K4f91V<)qf7t>E=%!KNbL@n~?Vp&Br1@&@acz%{ORxD53y|
zI&}<*3hKzP*to2`hB(M%3jz-W`!L>*{`SU4jotjnu3BznJ2}$?57f90su|pTe1mJb
z7_DkQe*Ex6xsP(m`L4eNL3fC4dYPl8{M^b`LgY26sKK#`KL(8odW*cgsunbMVu{Id
zP$`L++Q~1icP8FwRVE9-xgNa+;z9))-f*jygggjdN)xT>@An`^A>0UH(Fm8OGdKHA
z2|+x$M^}mGcc3W?g?iiw)jmfN;5i$L^nVsTsP8Ndi3>j&vL7ko=Z3N8DD-B}x+5G^
z9D+HQ=&ze-Gzm9UkR|?aG^pBB>;Euva%5$~RH*j2!=&K?SFiKK*mclLC0JebZxh&dIj{59`|7;V$I~
zgy@ED>~*}=guF%?nQ-RVg{YOaXgIVIpDVC)0IuB0nHhNMm-dg3uhbKx
zr7?rU!&}H}bT{?G$8$jWh*x;ndH2a(IjNux@5`PVHuTpWg;_HZ{OB(W-Bg$iU4m|2
zY@4M)(p%)r@L>>--gnP?dR&>z4xx4$xu^7{E-nqaf2-{}?#@)~OqFeqgk
zP-gOD50WD$S9jdk4jb)~(>uS-Q{vfacqRFl7)rrjSBrE_TDJHZ(0un0EqVFVpP)?u
z#EFXt0;3t0**tmCVSEQ;W^Ip?frP#QGFLq)Jw+{A7paAQ_Hk@%K6`Vzw;>_5UM(ra
zul$!gaYO{Orp`4OR(?pN_IyO)sq`;lLb0fM0ZK_5FLh)*^*Hy6iEgr%QeDd87MHP1Ij
zK}BpjI00gOb4xy~!HiR8K`t{CdFMzF{uSP_L~%Xn~F!ngAZ56FsHizb?3#i=M+kWF$?a4=F*5+EGy?l^ZC
z+V51VvAn#(5LO>AJe!jx;5uzW&^tVgjUlctY^A(G_`nW}R|bFJB?Cf#%L9={#Q~{E
zivd#sM~P5&Dl%3xiY~kc_hu!&JPO026LA!x3haz#fhL0u8k1+x;8OsKzx-#j>3?1)
zJ$T(TeV%v#UqOe;hZ(5%j9^kFGSi=5Up9mcKQpeF*oumtCM0y^Z-3BN%iEn3C<+G=
zL7=*Z2Da;4ZlWQWaQX5QJa_57x7vSAB3?o?=JtQE6^K;_y`b+ue#oI{CKsbgfhPAU
zh$5otib*NU&iJ<*;VcGmq5bD)_P_!H@JZt#Wy$&!Y@3GX&o_nG%FA~Oc!Al
zP0_3%01r5W2fFt8b79=vBr>vU_?$`WEqdL5LL+dnSpdhaxZw6P
zLobl1420LAjyz`=qX!{02{*`t2{kWYD2)~wW@dBC%tHo+R0&-1J(WRh*!LDt&2U~T
z0sacomAtyWVkHXDqgXFSip#K59-Bxenxy{dxi8lCuLU;^eZAeqw*7xz$4wr3sV+IMyLr8}Hep3X8@O^qvR|lXeFICvL|%2NKZY-1if
z;SktC18DX&p)W=Z(~zLaA_WBnfmCati$K(!9Z7%PYQq6d-jCu?2*7Pc;s+JqAO=?n
z;i+b>tGhc7D@cZhh{b9tsjQ%7X^c%bx@7yMSHO<$f$YC%^-lKv?`lqB4!kf2q%uXT
z5KjLj((E#Vv`iEq5;)jqB%smNVV~zL_Bpf5=;oF|I0350)?jdqq@;u6YEDSvpgphG
z+=l3RAk>I36x_lD-V!F-s^I^FSeYt`f1$0rR!54$LDU5HLQyy-bJhK!Az^{QVbb0X
zJa9m>%8t*ZJr3;x+>>U*VhLHTR0UZ
z?a&h-#R`{lBUFW}LjQF_0L#I(j@{Hy>eUkBzH_0p-Z8Aqh>VYy*HMfC=g!zz`$YB
z*x&Q=pI@ggQwE2+Jp4X6GS-PHt)kJGpP||30ELio?~d!;aXEQHT>U+|ZdKc+FejvQ
zLnPJA&At-cJUn%zzmf4sC47gh!qlkeQG=Qb4BHI2*dcJ?h~=e;pWq8aA3pF{D^>D~
ztZ;D}It5`t1C}Z4VR5g)?u%(C1^83GeDMycEMG-S^F$lg;pv~2g$93~J{-*6QFZ7*
zow$bi(_4Su`>=!i4422Y@veU+Cdt(
zw;EcX0hI?tXlZ^BGEKgWim22+W~CQT=RM`ukxrEpxylb+fHH#NEH^>!dFL%tiyr%f
z)0gLZ@6VaL+7(C7GJUmv{P~^t`O@!j2zLm%jEU8dHH)J=
z-u}uyV$gi9%-}-)s;KH{$?Zk(E0Rj8)^vtu+%i2YNrXy|T|{tawroWz7re_cvq&_Ki@as0FT?9{XNj<{=4-zVi@
zqnv^cHLj=$#R3+l==Ck%SJ
z;vch>gK{Tg$N}Zy58kUajW9NK$l-Ll;sG@_ywLcc7rQre{`o!YPRt-+GAdhcEFvV4
zc#6XBD_VX3cp;$w{d-oVoah;*1>t11jUSgI0TTHMoZS-zD!|7R2ZXA=xKdK5>O+QF
zX^`w2pi_WTLYRFT9%bw{N9d!po(OL_`{JL?e2{bk
zgMy4E0(BXv>e
z>_CLbrJ0!!=+BEGD?|*8aU2}80F8y@hjSwWjN`}aA;>GIxC
z#2M*u5EW7W_O>tIzBMCB5|b=N&SMfs0EWlfAHi@+efBte*X8vc`k|+
z6sYnNA=oJB>N;^~x%6mhFS>7(u_rXvN!ylTSeKr%O
zKQpk=R_>_khqXi(Dr?R24_JcF$bPlxyC#DE85cO>zX3>cq(D=3x=PjlBAd1Ego~?(bFojj(nE`!2vQ
z*eqOPC~~gH;Oltrc2(5Z<){%yFbSO?&jqL@E#0H1;>QgEU8gfMl`k5`xah_FEN3@5
zuOEIZP)9enOIO|7y{q>aple)!LnCc3
zUvB=12f)!s#a<^S{qn}PP0&`;|Jho+
z5>^VecVjr&bY9CZeQ0!44R~OM{@!WQfHn4e{1)O&!9YWz4Y>E|<6I(VV{~e;bD%(dbWrO(DG+J6m)?-7GDrUlP6yyKp4_zcXz+&}X?}LNFs6?|b-G|pq@Ia@VE~3OU
zhSWn&;*kIWSF9s4OMm}leM{_@$2vq{!)aX#B^Ej;g6M=tkH5J7^UUefY&JISCQ-5S
zo$62c1+(HH)75r%3IRqfh)4I9>snNI15jkX2uQfusf|lSYIUh%))};*dXKCP_=XkK=o!X9Qep=KSItvq0QWk+mS!P@F^+<
zbaeo@gI!FK!%DEEkn`a<)kBo0yu3V*y?gnf$Kh{JJQ%!gLXTAXej^FZf8^dw7>#7D
z(iJc22AQzRB0rAB&!W|Ti`}RSvI$?ndJu&n=wQf4*H904B7>`r^;K^VpFTqJYfcFZM2%dK#O>z9SPUeUk9gsHaQ#>H1~}-2l5Zi|DocDVt_w1f*lq;
zF!&T{AKRat0Sw;(XoGc?*zbBn0iuu24j^ZdBR^nh0z$I0n$^j@|#f
zp-j>0h)Hh5z`hOc^C8>d(n)l{8CaadF`TW0ZK`J4M<~sc{0Wm*;+iL#Ar8%=4fLfq
zGdnvORU4$OPbV)uM?FKOUb?hEM@I*R{vaBO>eUly6(oVc^oAnf;4FMGrt)1LMPgHd
z&DnnVnK0&|`(1C}KHTUguj&dKsO$lGmniv=?gPQwdaz58GtD4CIN$B=#Qc!@0$R0ZykhlG1R9uo5JvSV*hWQnpev!~xO@i_8-05D?o{r~^~

literal 0
HcmV?d00001

diff --git a/_images/3b531d002a4096785d99b61772f9579bc1dc69fa8094b46ce17c7c54c7dfb18d.png b/_images/3b531d002a4096785d99b61772f9579bc1dc69fa8094b46ce17c7c54c7dfb18d.png
new file mode 100644
index 0000000000000000000000000000000000000000..2f88863c00e6b7cf8d8feac40d9d39d64288b37b
GIT binary patch
literal 19406
zcmb8XcRZJW`#*fzdxvb^W@dzBkGEBb63NaRp|ajqX0~LfWfjQ^QLbUi-BIbP@SI_C3u9L|uGnXd=tcD%G
zlCAY+PQ*++sK!h^z9XD+hwL$%Q>|Nui|gY!i{+b+%U4S3$IDB7&w0Q4RC(p%&;`qj
z7uPk{)wM3t3oCsb!uu>^AIASOMDbCzujP49`J?wRNF$ynUHPOzO4XUs(?N(
z27{>=WaSErjg5VGl@0z`=`Bu##bSLE9pPu4y%p5-3=Ch++$Vqwl{#e9u~^)~Wm33$
ziL)DFU`WYwVB@X#-QV_n_wL;j>v~@g509|sX0>Qqt~(EGLoD#G_a2||7E;77+Wnp$
zdiZyFJjOXYfYjdJ-ow*V!^7jG(E04U7YmHy5_JTQbt7L&c|x`c+M;Q+^z|vG0v5QI
zrW!eTg4PJ4>39+oI8NV5bWS3fw>AauVLSL4b=n&#I&HLdbTDFKR7FKa#-izenw}5+;C*1}Yn}~DqvccxyL*><
zz~qIFjScty{{BxDGc&VjN$a{N=H)h{^?v0~aM-IBe+#%$D435OYw74HFkwLY3(2of
z)G#=7Bx>8)@n&Xb_BRIlHSGQ@5s{KA-)eYt%K7cc2s6Cz`01ORR#sN@$B)NWPls?I
z9!sOrcaKXGN=izS)6l$UwGA>^{p0qzEXqKrEn6kXYnOy=X17u7Byjel_TK
z&*_Ju8Z>TkEcc}9jWSkeno?1
zraT*N{ayN!-2Huf_gDFPdFTO^uu*1<7M)6DZfHx5wtPvX=oglj-WV(u
zyb~Y4K6GA`V`u+P;e|!|PjEakj
zQfRrAMF^66GtW3|kHNhX1j$VYe=XY_Q#oBSR4GxYppFSj`KvJ0Z=gI#IDmYcUQmi^oNA}LvGfB)(P1t}Y4E63H;C}b)J
zFp|-7wz!oyMvs)3^Gi!JsH&|jg1Z7N%@ia{hi;7Lj_5*O`yJ!
z6in1xAfh__55oKlafb(c9Nb$Q8{s)QJY`n3gCgT;=T$9M4`151^}{DFO*iwDHy`eD
zB{}c?T?SpQ|I>|KjQS$ghskY%5Bw%iHT=gZWH;h)Gn;-HlfCJ_3G6$
zZ`qEV!%g8AmesUkW-s7zLRj)Z7--D#raJIkgYcS
zrv32Y1NcD#U0q#q+a}JZPoH}D`nFfOeLm^<;hs)GZB|y+?Be3(Rq3iLG~fVqrY%d&
z@`{U#2j&O}2>gPUYzmgVy}kML8TStkR=58cWhqYnsZyV8hy|;h13jigomwk+3~6a;
z|Aj2Sm4^$yU%q@ft`?%Ksj0a(={K!WYWBJNlBucbYQ;FHqMzpq
zm`ZmKm&dBw-bPU|u(HPR>n2Y831Ckk1+jK^cDBs6#V{~3dUaTF$X^dLD|tWD8j+Fp
zezc7k!buytpwmQRVDY-4l1}c^s7{eEus$uE_X!sxsT=#I_i^JipZ`KduZZNy+xk
z6n^R8U3_FzRBKNUO<`_1RJlYlLsx+MZr0N`CYx?qF}rVdGm@Y+PLJuPw0r=;~@erjXAo
z@L5xBIY;}>cX`yfnS_mAJYYqlsoAdHTh+q(5TCabU~~d;3~v4y%7*}Owydly^=y9X
zSe2Ww%Aetj7tWqN+qfVkAfTreLz|wNl_dxZaRHY&cwX&5fFN1*Xy3c-HyRGQ-oMWu
z*t&D~?maXNEUrURa1LH4JMpVdHw9{Y;gK%vi5I@Pe@3VPPwhhzdC|w
zmqtp*EnZtwqi1AfbYY=4E1&I@(}ee%pi7t1WkU~xiq7Y#rq2e6pevjO0j2kTdx#QrRgn|tB$_h2{kVSinw8Uhj$yYH=}Kj4YM
z_0wn9SJRkm(Car(`Z!+{h8C03Rqk6#*->Fkf
zidntG0gy9wetc|7TKVeLz?&PEIA`Y!MLGrshDU5M6#r*F^*@jJ|B;0K-)_oZM6kFJ
z2p`+u($0JQp6|Jp6c`XN`^7m&TU|X2avK4{ZX|{4#EBEFAdz^8ICRX+%zi<=M+ehK
zv)>=swy%aB1=iHpXPn_zWGjVtd6O*bpkjDhcA_m
zoqc^|2sO9zaR_2%TMZCVIMqTpk(s%<2wLm9)*h+jUbTb>{kOR|DK%@ysWmLlOZk*K
zZVn=^wA07q0zyKBh^Cg-`d0H17g#RDhCkW$K|5a8zf_WxH~wXpv}uUl-w*QlSxk&!
z2_;WYqpI{PqxU4o;;v?@>*3l&MMY1#3<|(=-gb9W@r3S6qxl2sskIRVC&LET6Yjmx
zI}3&xeIdWS=kD*=qeZ&H5mPD!LW~R<NQCX(>
z)Jy#v)lsDT=a3%Np4F8fQL#}+Ev-VPw=$;TvDR9IG7k^V*0aQwOS{Y!!c+Y
za_O9q-4h7!-Uq>N)&{Nvd-N%eGmi)`VrG_>@jJg4h!E7>zs|gx7SbH;%o47I*D!0B
zQrMY3YTM2~in3}=I)-t3hrZ)FB<(dGvxGrGL2G}<-81(0;VA?xX6SU7U@0{6Xg4yp_iMc`|Bex=q0=2~wCLNxb~#IvX+r#YbdDM#f8VuPDN&c?AT>g^=wAi#-+MRN30Joe>O?d0;T`DgunK|P$@1Y_HGia;DcT&PC@MDwE>L(ty_0!
zh}D;uqRaRT2ocen^BYS@O1eEfO=i5>z2nDF0VJ
z;2B%Urf@sC^Ug$wnO$o*2?QpV%tdqBvg}31GbBazpZRuT`WQw7kK<&%1lx94)5X1m
z(z6m%@3*RR^(qERFjQ>Sy9ewxqz^q$&~PdG$xXPgINqLY-)AWbYyvYs_AOiOb{KcW
z>K^++SxoevlDX^w2V;uKOKN(H6gt&y1X){p)%UiquY6?n^O{Uc&a`!ZaW^5?WaG@Y
z*@O?dK~{J7p6f$h{Lh;iA)=tM7_pmu8x=k@k(C!CB^tlssj_qY!|(FbyNaxWm`Y{H
z!py!xNf0HVAA9GH<^xG4%-EJ|Sx+i282Ia>K{uPRg~9NDA}ln;RTn-rfxK^kI;WjRWBx+&D2eCGFl
zYFwnPi^)|&mCJ5AWKV*Ul9Ha0F??~c{piDKtH!=T$swvGxno}Wlp~JXod$|we`g&s
z4!Et#9(Hbm9}yq@IZ{G^z*3_wxCDn`e9x@D^BLjO)G=1SWOJod-$xUpUQ3NkmE|e;^7eyBn2*KqR!GB
ztwbP*Inx%okrvkPEnIY4K>zJ$+fW(=>c-vR>>E2{lkD6zUi-RbdV09qFWl)DZ*}8Y4;oNY515kTPao1
zjg7Ix2J4|l9=^Xlmn0%Cjs>^_!_TkXA+0!l^MKD>U@?f@m
z+(U?>H2D+~*1Nt_D%4aFAXaB8EIrsUgQyhf9UUD<-;~}gnVvrUTOB_1Ffk%S7~%b8
zpzK;K`YxIegP=li7=Lr4@Wl%(Sj5kWO!_!1
zCaE3P%*a0f{P%VW5;k#kRw@tm0Yb{Tbn(fbmX2m+Nv
z^hBcXMp`#B`3eUC(y1J53}WANQp-`svgj2Iv9Yl4em^Ued-XZT%_7zz;(}9+Ga+<@
zNM+wUt-&9}1$>pZoX_|f7vIG()r1@vs{1@cQs(70By
z4-Ck^^jD`U%9`XeFE)N0$ee%191G$+hl+Etj}m|ZD2)s~*gd~dlI*wrly~}I@D(&0
zBN49P)M$(*KxDte59eWfa88#lU5bs5Cu))LsBf97{-CbS_F8Tve2D%F
zD;UiwC65_IR7?zt)9|UrKnRY~%35_TT|=zN_|E!=0-$Ktum+h^2lTCgvhb#TnJ$j-
z<4^0NA1%50x&4+_}q~M=v$P45ByouYO=!;)wxN@=+lEn
zdC!ZjQ2lFZq=@~9>&sRFj7|I6H4%V_!r8o8hb@Ip|GCPpGrBq-MS8Z1$m(D$SA3P-
z>mnm+E>!4}2R&kWm72*_2P&e=-BMY}yBy;P18KC!n%p|)jR{gLJRXL1QsWh~o>F_n
z&K!o{EYpQf`I)&E;qKA^`fxG?>E-
zC8@fN$r*Fb>q7Zs45GTM5LNhuzbl}tL4_WvfbGAvTSBhj9@dFR7xApFjvYWdq(!Em
zeODskx1^AUWgbIjbf-M@5FT{`_F`gT5!ce9zWHM|QxYvaXAG$2{$RIk5yWw4O=RNfC-_+bxiI7Z#rr5%VKlBVFtHBY=GaKBJS^%gf8y{}qzl)&HkDH2geXTvo0s*TF*KpSZ65dGJX|DY~G)sFJs=
zOx6=1H^zJ;B1#HIPs+Cpl+uj7{zZ!Po8F@|(!vFzFI88w<$dB@Gb8YZ|B3FTF~Ec=
z>+m&fkBkaXv>w^tr8{1g9WoX6Joi|tk+1?y$_>;`D~Afs160CcERw#q^6ngE!u$G*
zQX*WLd@gP#_qw_sV%y(=PryMoa3g5{sc|uJK?N6OK4r)xH-dc2Jbw(<_y*R<_63{)
z0b!9fiHa$H(HYte=@!#2@GI9t6zb7gE@#s7Cf7}W!Y$N|!
zJw0_FA2~>HW|w|SDkk=L(k&sinj|+8NOvCeLWYMs1z&krPYp}Y%=}(3)=*t2P2>9#
zCDN%9dI9WqycK=ZZdZhfi3u!0@<1}$>hZ%)fApqjPo5xZ2b)ZY9k`P4p;5_^QW<0a
zKZM2I=TK)vgD$i(^e99xH4-F+IeF3;&zX^LTs*@)%8)GZ&00Ya-E!1wQpXpll3fmN
z#qllB(6bSNj8k4xKTJAgY@0AGJFSkRMjz#|v*Bn}ho?B3&zO>uk~=r5+zjbQnwatZ
z2VH+)IbpE>iz{hf^qYk|HyU>dOiTm&d$!lOKDaURi5HK
zbZ+>N+^G!F$awSAFl2e>9uE87;PeFD#`?PlIb|~12AC2^oQKcuULxax{z9SYMCGW}
zH%h@Et-V<&b-q0pkT0Pg*7MrNcCfEFLrA<6i#3aYkXZUGN9rUXAg%gK=UYmj5=t5x
z3@bvhJxmGVBU&Q9mbhYPCu+nH0~_sp%}v(0a9H9N4=qP>Bl;;(0Jr287gGY{yf}~-
zv#8+P!C%OPqZ9;{5Yba3YraYMdNEkxy87Ql^j%My@7N6&noLw)MjjcERt=R(BwVbO
zl{PsC3SJf71pZW=6E+-#FVSI7n9Cx1;)KT4tCM5f@S66!wN%Mjwz%zEKi|vVjb%C3
zn^>6jtCxD>qe9Z-Vy{9@Yhqzcr7C(aezBkLTGbU4l3X6I*7XfBY4mh9+#tODV<|@S
zJHnd7dvC#cPG`)8_z$opL1U}338Y745;b`6$gTd^zM^f5i5s9U%F4LBI*E;&i?u(ra*J1uIjd~
z9xI|g6_tak=s(xA@DX;;O_#1LAyU!;uBtYM>cfQMME5(I_tdTKj>k?6r+M6*`&_*B
zb>kh*9bWwS$Hw>WnxGw-duIi?gVr<#JQrD}%MN%!6SH$@$jp<>8d)C*3k9};$eh59
z9#{513FsoMNhLjxszLG7GTqZ65hk$kI^xd<7;dgd-qisOYbBrRb+{|Q!@G(&`y|F9DoD1T?pykl(
zG{B&tTTyjILV-r^nQ_tVP(B^PoAlr~qZ}Lh29Ma54NsS=x$~&nS#6!m~y=%W_Db)|{G&I7v84_y`bTuJ5eC`}>rC(nyHqs*mZ;hoIrg?ehX
zcHcTvj75%x5A{!Wey1$V{P`(#=6*ZYunmj>Yh~MVt1!zwoxlhq;L3QPAXf;@?lmPjj(0iE
zAR)p#l4pFTWuT4h()*pxX1p2X!|~9j9wx4)W9Y=mAnK^X^;}005L{k6R0sQQq%$AZ
zdCr)^HIQJt685sbRE_>adZBg-890DFnbh_4ls3wKvG*hOH_3|_+ff8jw{H(ve0>FK
zA#sjwWFQz7mtqzzz+u`@rD%6N74llA3@foE7toJ+eDsj0)}S6`
z61H|A_$BpaskZy=%wW_1UXq-a7V+&H4)GDAOZ8d*^%ve%QlxpQ%Mg7RB-H~dXrBy0
zMeiRNNM)qe^L^$gMPG6m5~jRzRS$2Dz6W&pS3z@e*e@FTNiOsrc#Rr(PJF19AM@M?i_aa50sE`P8I`T4x87ZAjgR%M5Xm
zpc{4Zje%Q)XcK_Y+}ym?r7+(#vDa9!?#Y{C&e|ejOH)!bp~)|Jfityz(Pg2`rzzzmIiogXZKhf+y=$^N+ugIQ8jB2&Z+=^2pNzjF9_09Nqau@Bd!8&YBr{
zwS0a&h>=XL+Izz!{?7LE>NwdYL4ggh<2*<<;TULaLLU!!PpzNEv4tEYtIu5
zl%qfC>gsB(^pJQ6O>e-n6T4rhg8I$6$l}xtG)R)d(<}jyB|{dco7EZ`8^Lj1
z^z`@>IoL{p^wHA)K)18fxsMykl(M5UHL89itJ)V#8H+%0MZyI1qh9Mi=!wVGw7d6g&W@@vtGjuF}&LW
z@?y-4HZT-=&{pkci>9;`U=%3yMyP1Zb=22M;Reg>i;JE=x2lD^SuG_Cs}|(^5zNz5-~;EM~}QY)N06lA=9%_5R|7*
zQHLDe*H8^R^PPiNfgu;M2VwZH|+i&%acAcG`NLcPT(BO~+VLQ#Kv
z$9X&_M@>{#QbxGu9|I_7V)sLT~aI3Vi@1K0+O&E
z_<@h!Aq=Dy#)vv8=3afy|L5xC861v+@YYBV2NVdJ|6nCDJd*V~zTcrCiUwuPB5c8r
zbCAs=2zY|;I<2X4SOucqcW1qB6yxZkue@MG|BW3)faf7Ne#
zA9bbN;zYR9U%!5RGU7T=YI$0rwgz&0mJcJRk5i@-31qPZ6cvDZ$xuN@o5RW{`SIE1
z-0Anpzezh)(T`0Qi2FrloK}=MNie*8@m~z)dB-`bF3D%lpMM3+6-*Y3!wF1TALK9U
z;aZ_7kt{Y+DAK9nvXZ{1dK7e421LZMLbl`owfnsJBNIq^ul&B!7W?;xT>L!BBK<2oJM?b+DH{iWQSw>{$&2O%4
zZT~`Q_D@dcWP~c!>_$BimtvBec%OWovyVEtXAg)22%^y#0~zHfEI@UITOJ7dTOKei
z*(@VJOSa=+&=wgjmLwN0+Pt-yFaO(O{NkJ5jK#Or~kt9;ajs4(tXBy8zbLvh%32e)bIZu>uh*cSZoWJScO1-4UN=?1sy2uX>Gyog3002f
z#fxGJ%oa)qUY|bqaRaChAH#+UB6E1y)YR;rMww}=+Vy0RCjWjtU8Gf!=9dKVYi`AW
z0?CNN)}MhaiwN2F;Xu;!UV$=+nI=lE{gOwJCnv;Mz)94A#OKlOFhW1Ls?n<7`H6UX
zH?+7e(=qHiN`7n$6lRmT}X7D|F_laj{MXv&KLzAI9bc^9C|enFY}#J)2*
zsdoXM_`^;0pIT5Co9l!M*2L5_5}XhL5=1l({`!sRvrvJMsSS6igGme>(LP^7_C@}#
zStc&a)rzGov5(9tgAZa$chN~z6_{P<Xa%?m!tT4K3fKd00a3uJ
z&pVIS6ux+fFHy5J}8|cCT7fT0^e+}y64A>y_T*$3UNu$g!zz4ZXqYs!4`b~q_
z4L;L{D?wkD5kVi&BWs=fNiAJn`k-p&0Bdqu
zO%NdF=U13PVvcZ;=nuRi+HFDB-Z7nrUen*+)*dD#Ilxs-Aj|0b@mv-tc}rwx2Z}mB
zevH&CdfWUdC;{r8*hH+a!SWJqe%>ijN^cX7GZwHvsCJdyOSRg%%^~9zh}b4GDOh7b$>caK&5iM1JVmJwC06`vxbNg8O$rMRRdT_Ypfd!jy#eBsdrc5+<}bzvX-ngbO~
zdv6vNiD-w6v2FVVs^bN6g#bgaNH1^Nr9@^}hgm2EtHp%6bB&AX2aos=_4ak1C?`Hw
zK*%cDf$9<+6-_wiOV1I#D5*$YWXZ1ddsubYwHOj#S9bK0>ChvUv**qYJk=uezqJQ}
z6|dW5y$gx!Q>cKyIDbX84C>iRcH590L1d<=AUhmwMMW?6Ldb&#C4#VZ_=3$3%Yvyg
z14Q`}^}#-XSEZgoTVvmzWvc&M@U1{L^WrVAH=mBUO5-}|@ylbEV2cAU6m!jvR0u;L
zH#b^>3ShAbRU+}dU(*N@#atD8=TRbvFPw>C(lVyihlv7e+fRUpiBCcM*W_|CU9D!^
z%6X}X|KgzxlNakX@}PBRf?vkmsg#U^PdX24Tik=^r=>96
z0IjkBWjbi1OBe|QYUurLy0nqhF5DugG#lb^B1BA>F;yF&=6F1~r%aVVmc+zFtB{8;
zY+_pH2p&V>BSSpoJf&or^Wh^#Ajf4{_!}1itaRACPLX?wy&iNw$!{3Sm2pl>
zfD=>!;hWsdQBZ&f7;y?@n4C_5&VQz!-hC*2#qWfCeFA__$X5L{>=e$Fi!>=hGhfH^
zli;+b{0gqDdh5
zmUz#-cdhcbmuHx`+_oPJ1+-4u=-@6X>Kf>@4{)KRBKRU32`v`r(&40=w!cyVLpm22
ziB_J;*YEok*sPKNB+fF62WBU9RM2iMj_>sq3DxZxBBTW<0DW;0xL1I*)G2QsM`o%7
z-R(B>nl+$d^6_E!D_a3tkXhu7@i(&oqyfoe{!Rq$w<2{yv_YA=qc&SH(O#>tBFmQ@
z?OcZxE>!8(4)<37VcgI;J3FI!-nk-QS#eFg{VFN^3-*W*4eh##oG6zFUM~f>vW3E}
zUG*|!%+Z5WBAt35b#z*RVyiFokO^4>wj|5#+qcn#Dn_$Nb6mp&35yRr4JP^*3ed
Kh}|cUsYf9#C^JZ@
z1IeKoo2V^-HD0y%_~RB2ZTJ_~^#E;EUIbbDf^62<_c$xdY{?LOD2}^~
z^%#|rwm`Ijr0(LPFfwfTytK5GIWu+%N@EJo@9(&w%+p%_dYe|OhKS)yb)uHAdcGOI
ziVD}S&*c!emgpfh$TBL>`jA+KguSe2j)Lg;-(YaAv9rq*rv@FfYo7(Fk(a>212DHW
zu5$`p@|W*U)*2R5a)s6tG;Xi|69jHPX3rKC++!S+K4xQMQ{%smk-t7u9Er1mrJG$T
zWnp7YB|s)~L#Wd8;%Bhf`x-?T*vg76fRWTkn`{B1wFri>fEN6x%=X`b@CWEVy|<_0uM){t-846>vqn9VjPVeRAS<
z#%Xs-qkrhs2Cl%v>^C)U<9|kVt0yq2go;tF?S;jw{(3+6V=OG}cL-8Wzz%jj%g?v}
z{vjO+3rUiQv?`;|jP0xwIY!yAw^EOU0n7R;4Dm2z#$IQJrG6AEZwLpl*nf`<^F$XF
zrJ2jpXa!1AhY69j4`SuujpQL^F!;y4Qiq&Znws
z1D~V;pM*c(6F^IMK9K++e)B8xW2SOzT`=Ysz*{r#|31JBj_Neo%6LD#?lLr%~JMOa<4
zcML5TV`l6N2*p)rO-vY^K0YKs9xC}sqJ0Vw?2;A^_so9zHZZ0=YQnB)pHM_Br1Voy
z`mI=5)q0U+Df+xsJ6xw5NQr&%>Hq9$O$Gk?>Ng$C>gnl;wm!0h|5~6CPv+6bVUsS>
z3Toq5JrC;<@JpQ^wn>T#mP}%`q$i;R6j`#M2u5TcV71=XTzv4CdRZ~*+_M-BEArz8c@mDdY
zsOacAfH`y;Y01@&PtME~S75NYximH=KT#SphgoW=MGk4r9sx)Feas5Wcn3mDm41CClZo7A4Aul3N||Y
zLeV?OaHV0+jfJod-8O8=$kk6TEVhAW?j}MAZF45B_}D9U6E&WrHJ<#(C`p=je~O_a
zWa7lb$ss34&XyE3|wYJY3H%p84ZFn(43~a5hU51_*i>%d8
zAJ78O0n-JciS$Xp6JM!z}Zw%qSNXHi1OJ-(Q!9&4-h(PL{_j4di`8=9&az{BNd$66nJd??iv!vv4MwsL
zoM@{{$+17#AWnrG?l_|ZF(V@*u?Y#i(KmO-&6iA0Gh`DRm3##V=nLQRIF^-W^6Wcuf{1*2CmNh3kkY
ze9AUiwN^8O$te4Su!5Z6rm5e~AFaax9*VYvuDM26Tqh$aFr+pZ=!^_KH-xOE4b2An
z`;A}NG(H~Z8;8~w#|4Q+{qw>B4V!+oevf}Z7jP}#fCQypOF(z{H0T^;rq
zh5_Pwvy>cwca1XQ2nh-Q8Kn)v$?n(F6mA6_Y`j%wQpXxfyAF$>6Hw?#E?ngC=jSEm
ztqJeNiP}@>BQ`d?1{jLcFO$9)h0?RaV^$OTwtNr*q3?r&Om~>YlC!fDf!nVk>AtV~
z!q(=YGhu9Dk*O#%i^P>km@f?4o{b@=q|`JsW4Y?!K$D}N%>xYrwU9`s^8TmXcq4@ud=vAA^G8RyFi66O^0BXd))79C6yA%yEh0>$h)_pq(gj
zq{OUL6Ew}_!i8|iYtVA$xb#(Gu=eh*XtQVzW(!n8U<5RfM70C&#>CQcE3HBEX$z|1
zK>BxpF14RBl{)rQ(JZMwP`Jnqh92hS@n;9FocWk>nhs(ky8Gy0DvX`YKw$tG0Z_i*
zg270`^y&8Yc5I>nFskit%d*peHAO>j6$1cVM-oqY^{W5sRHO8bFXi!EgBNVv;$jWnj%^t=FhXaj{4iBV#ewv~|1rm;oC(p20KUSDe2BI?;Ok^rv
zfI0Hz>glV1xhVwi$}%!CqW1q!w&m&Bx;EP;4Q>Vc{m+zO2K;XW7AwKb!r~-C3b-8*B2Q&5H+asG`mRnT
zOxF8xWKRRif=++JyoWlZfdj9c&!dxX0|O>ACZlxs3HTvlgEScH>-%Qb7qri+DTwXI
zj~{yH&+Gd7$_wbbZe9T=4b(1va4g_5VIo@L)}Np6&%h8A6HK9_jChn24g)(1ek+`b
zoM*ye(0L9>n|g+ZFeOe3U9z7y^2C8!dF)suFhifhaQfnC1wV|r#XNb!+tvdUMKX^J
zW(K}Mt91Cr*NYYwE;TTh`Q*imj~-$Y655`g6|-i5_JSH=)YN!jNc-ge*u6`&Ft_b+
ztx+ZLFSgvKajk`jt_3DMsCCa`1@2o(>Vi)97o6uojR^_+`t|Dm=FoXqVCL*c7jT4>
zR8%SH=}{0$-gR_LuOAG%$^``n&(6&`Y>&WtpsrY3TRRD4-H92n>zXr4N^Q{U^?0?#
z(-e9CHkiCUXnwLl(STvWkle02R5~>%XuJG(50Z{(TQ@g1lZzKGu09{QW^8S3z3TKa
zU#_vSkpUzyGh;_gM#jNj+BCAez5Vh%Bg15STN@E*_&d;W8kkLwgp}Zxv-!}_5Y2a9
z0DoW#yZ@SObjKB7nYOjIKAkcwHPgz!Fj9Xa{j3Q5IY!x5P8mh$RXedZy}P%YVIXvB
ze{8MUy;)mV*I|Eqz4T!DI>S>(v?ss4)<&nTa}Aq+p%sQ<`!Uv5R`7k4P-|%oZEkKx
z78D4B7-$TKJ37dK^yI`d{aD&hqw#yxDarh&S_@^-d;b6-V=q!-W3LzrrLn0xfXr97
zGa(g(0YP3hwP}y&zmOY>h>B{On54`a+yv?eRP4q!Ha8WdXDvtjmkcmwV4RIt6iyre%JMA#)p?B&V|-DCUkxG(sHP8tdhI#Lo=RprL@ei
zSnsKE?7oDH{6Q1pEw$$QCsV{c~)OY0p?AE%q_V;$!Q
z9NEETrKNJ2SxpC@qpPExYgh3)${5Vsnr4k2-q+N3+2ttnbP^cZT7SwaGqvRG$HiXJ
zd1`!oo_OxMUzlE
z0rck(V3*hFw_SeBdiavK_VhXGtyASzI(mDF(Ro9WL>rWBaWfY@
zc#?av&!hQ`4*zD8AkI$6>FV?O>GI-2btfmG*ee(j5pu7c$#S-20RARd4H=o3fK769
z*bbJ6;|5;|GrXPF%~Q{0jA4T7*)xIdy}jvI77w*tTuz{|@!q{-HMO-AJs85IoQ}S^
zYWTC@K<2++suGfy$@UT^JOshO)Im957z#!ol(^O4LU;Jn*Fn3sZ5X_7g-6Fb|9e_S
zi5L+rEiIbu!x%MImmwS;y0AVDe|}dGDTiF-X&&i8&)UGuRo20n7%bB2pH2GzJaoeu
z#<50rfY%U8L(gg03Qmv+{wue&edEWg
za>3BQx7v3nUe(CF^qkW{VH7m7K#B^ywA*kzgjM6MKZ$+KP)rILpcAy@AY*&5r^~Oe
zF`!2$oDx2rIM02Az67ElpbSI>Mp>2O*hwwP)
zd*-=MH(jpva!kv1cgqRxQ3T(LE$7bG1q2QNOV`5@Vjg9RR{e?y*9F98F4*7hb9GP-}qfnk6V`PLU&J(JSRXTR7
zulmo3K<3HKos!9KLrMXwDk1!YUbP$K`M(oP*JtP
z@FsY8hsqbv`%~xKVGiW!>(?ke_dNF61qqcyv}%OH@a08%?e>UOx~
zM&S^;aw1_vQYSShhpyC&Dm3)yR?^JCnYB*33%aY-{s!i=M2?C
z$Ll|Icf&OQ`G=TX{i<)wS0TNS==MvsybBD*?z@xq0dFd(@P2Qjq6
z=`AmztU*&37;-tSYZ`9{+bZEGmJ@7fU)-k>ziaXVA{u2>?!bA%fPjDm_Lny5>MdM3
z<))&u%gZj0W<}rz#-#n1V!Qi}!nVFOS(%1L#aCi)iOGvxeIJkCIn46la
zOO_uoJU12rMm|%e1Z;29{mOLM-jiPzY)YQtJg+_TI|$tkk^E=R^uUj#n2M&q4*2b464Ni*qjCt2>*7*$@7_H$@aV%SFw>#7
zKov}dQ&ceesmr1Nb+WY`Q_0e*TjFKZFaQ#~IiPz1PErvB)~^cWmxE9j(AWk7T$m4u
z_^m!QkD0LH=Fm|6QnPbhiumNigVoTCGZmh43)}qs{DMfrP4sAlod^zn@1uQp=VeFr
z)W@Ow3w=2c0001NTlj>402V#D=GmP)l&1>h!9DN6NR-H*#Q`m7YNiqr5&d%p&4-U4
zWxZYJ0O2}PIg%XTb++|Rnnv|y!#PyRA!wybpo_M*0APs$Yl~qR*2Mff^!20=+_L^?!NnypAksdS^Xlpu|OAR#SC
zmq_;=%X9AU`R@1Jce8i$|9ODl&e8nR&`IKFFvtn}8+V-$gu(><4=+P5-4a3MWHDD2G#|$=jktMg
zZd4tuZkfg2#9|BH3M^4t39_78+E}1kB
zS6tr8dJj}+`jxy^)Y6VdE@y^tc2SKva?47#7de!FzRe#qc9N?
zo^iS$;numeCpng1FF<+)L0IlxyK4v&EI0#G^CecIgOBQ{VENDO1Mm>!Jj4I-W2&Y1
z;j-OYI)=9c
zekk9#aofb?t@lnFHY+o;Wxg9}qa>m%Jlrg;v7G;&nU$a4594M{wM8$8*X)FLTwal`
z+MUnVjy6}3JD5}3=+n2mYk0lp;b`UEJL#&ud4`|Xzu!@t%lA3Ru0GtzUx=>RPpw`J
zwbM0ZGNwQ7LCvCZD@oSSV{`Fa&C!8f!k}iTyo-xVYjd*%
zEAb5}R^m#SV8!BxwpUS6soUF+Lz!gswnki&$eCq_=e$dY9fOB$OAilLd=~z+UDCOC
z@7;$FAJ&`M!f)VY_kUkW@HyO3zIpR|hWh*UXL9>*dnRf54K6;be@nxoJqxSV($kAO
zMNKVg-Nzdh6_xNOp0vK}W2bEP#||l#)zwwyTeo^e`we=soBFuBT&Wa`PHDxPDO_o7rc(ztW2M}#YD2sC`}g<{
z{60aUp;7FqDJjksUbVh>K|w*do;gx08DB$mo6>H^z6+P#z2Q3MRVuqX%T`=ewElSP
z;ZTX?bbGA(&!@CSHa~>ECS2CZuiA`z@HNh*&P!iU&v~O)XMqR16ZD$*?z>AqJ8cz5
zhkF~f1QZsVi$5xsN`}^9opT|=9bM>-gq{;m{LL`7+gEy;h9*_V$nBb%%*HF2h%<~o
zKmPd%r%d|g<+3YIGabDl^uk4tSMSN}Eq>(Y$0$>Y$?dB6
zu>BL%A?G5Mn7#$k@ceyob0iyQZkqsUaY@PM{DS6#&cs|i0;1VZV+VPyt*zg?x{_%s;zgL@>_iXdCvxVQie;?|x
zQq}J|q;jds?1oTY#e9}(lR>F%0&7c*oR4?9>D1KJ&f($b_jS!@=fRhSJB4;`o9Q}njY+K
z1hP;5Fi(=16a3nrB95&pyx(@_eL+D%&*XCTo-MXYo?Xhp^YnAdxw$#Lj}Jn{YzC5D
zN8OapiP?0uM)9~D9c(RZ)f`pz
z3G1Az+8XV7LLob_w6njF?-N!3vkL;pSJfokaSEoK)yXF7sn#e?FPRH!i8)V6Xt`x%
z422)GcYS$5?NvYjcP)kv4K#65E?GvNtJfqM$gze5M5J9gcRxz?y7b*OxBNZ+S+CqN
zwR&%4WplgoFWHMJR*!yh%6)sOCY!0m?4=23DdX(9bD|FiMam8Mzb46H
z-(L^aP*n8i=HYRHQ^q_E+Z>T
z8N1sZ{p#h*_u^xoAA5%Ps=fA{VWCVjlh)SOYP-XhmX@6Dt6TkETO;YayY5l1UTvol
z@|TU{-#0UxEg7=y`6@n^GuM;8H>E3ok(Cr-{L}juRSpeZ525=uX(}Wn^vhnN=)u>s4Gj$mzYmse7k0PP6Wx{3
z!_LjkUF1BcF#=%*Jf!c#{Wf<`123t2`i{wZDeLMGPh@ES`52mhz$C>m-2}Jk
zSecHm%u>!bXbqhsZOeWV(VRKM&BcXT=+EzmjX-1h*5h`M<#MH!>b*SgjcjaYVWB#+
z_x9Tr4}#<5nhFYjXd9IJ6{o&(t&&fXG?#5$BhMZfn!3TV4=&Lb>jw(VaMPqOsPGAauyC
zW@LMNGMo(42yye*r?JH!A49)<`9d8g>b2`^x;RkCIh+_BZSFb6gIzrsS&YY4dzL%&
z+!CjUfFLk2IT;!&Y<_mAKn_!E`~}VF@-#$sfr2q4DV
zbbos_ux&~RAcMNDuEnrJ6C-E5PBI!S8}COOJ|Jb19zch>9(wlv{`he@0V`|kCwj+?
zIdkNR2b$}ilDI77mRdp3u1>p-5R05)#QzVVyGe~8lt1a{{~N?J$glJ5UqCl!YQvqt
zkOD!7KNvmrgR?s|J)H&rbZr1MWHF8V{{)EtFF4ttYl!%cuRWIDg|MAFKR>TpN^w@?
zhTQ&7iYaF)zARE-8e#%@LcIcGKk(ttwl%cp&Sf)0##YE9_Kji)G@(nc=z&>By?K+}
z+Nul(jqp7`f;X}H_*GI;zKqA_>;m?v;?LTemX=m(Do=2cPyYilcmbUJ5ORbnAQF$I
zj#sbf24F*VZSB`*_zg13$|PuLXfmZI4RSq}Wwms4761}_15k3$B@^)vAW~%Ue_UlG
zvpf49mx7)E2M34hm1|93tY#&J*)eD^hxExIicc(ChfpfK<~PjpIocaj#$diN0+g)V
za=Ksu$32%%zho9*kjifoLgN$gBr8C=dI~vSOvOUpr&sauo^@XD?%hM364MPwf@kAh
zDzQ8r3n@Z%uQy8zf}@6kK|JK%W!sgWf_%lx@0@-;57JgwkJQdLV*JI8r|TzxTz!7D
zlXMixKJsYjVQYK);;Of$o9Qc=!+q6oJjzkjuotFL%JUtUys8vy9+?(Y8n{d)?a
zJ)#0dM4JspvW3;*Qb_pAg3|;6keJQl|N^~>W@zV&@A37Ke#yE)3SQ2)ovHj-(B#w=R
zJ5_Al%9BmuE9(YG9h7mzri^cnU;gu08r==ByfjlMCdsre;6y?qiTw6kbA
zUO!M=xyW%Di;2Ag6+jkPi^=sOFE6jAr)TB-!h*|QzEQF(LVP6z?AFTAC%00$cKY18
zp(U^OY$CmLTRg?%Uusz}f`WolYwf~Xnwlwn(`mlFB(+lL53)XO9BVi73uD8>#JV|}
znpT{hvZDW>X=GPhuqW+c^%WHFfGlSInuYtvNAG$n`a_6z5+-9
z>qo3{>nkoO2p6{2V%kpG4VBz#`LU$W?6bexm_gt33!{>M?0GxMi#i-ZX%_-
z8VipfsGmp9nV2EO!i;;zc0Wj}tF;r=zhY%$FAgW|5=R1PVYeOt5HB+CWP*G+AB^39
zH0yV`=x?olD212zN^NtaK*C2&VK1A_2$qE+BR7kjL3w
z$O)jH0?5HR@+4V&_(`C%6p`<5d3aYdKr78Vci5n!6Etnywq03iePYOw@}TvneMUuv
z-Y3@;ZAkTUtwhFxX(xOI?vam$(+Mg<&Pu56Pl`JJ$!hSZ{2uikc8tnvUdh}Ud}C&q
zO$gx!Z0#>55lvi?*WRWtBZ0g<98`f*Ap#K*i5!^0LQ|#MFg%trI5l)9l<6eIdeNyI
zht*L(eE1MbrKr;b0uhgG%#w3*ZW`r_8#m!mO2fD}p@f}-N+&2hTt`7cp*Cz%nLZ;U
zMpsl^JUb_c_dk!t+#xh=3{iJ>c7{iu2mJ{pFW9D}WI_)q@%0+t78!x`9znbSG1!y~
z{^y8vU(*qDqQg6vk~$=p9S5Jk;M;W_rc@irrd0HBNDRZdjJd6;={)Fh%K3g6sSUWr
z*RNl_J&ce(G{zW1f$+z@3gDg&pzW1MPHO&5qq@0lw{Ce~P81fr*3!}fd9dd-pZ-3&
z$7s-zZ}P@_R{w3z<8a_*G7ngvitW0yl$dYVHS|k?H^*;H>k+}6)(f8sQWCXeo8K#i
zqcN0yF6U#%$yvb@1oGSHt84e4E;>tznk($})pZWj444XmgHpg&QR?XEq*r-tDdQl=
zMBzpbX>N>`Xfw*VYvME^<3Rb|Jh@7^9)sXN1IL$Gd%5%bXMI#m4BabJvBm7J744f|?Uqh7yOwyFvGJm*YQbp|p#Vz{SQ`1HLqTMP_hG6Pc%e|3>WG(7h-<
z0oG*EvUUOcjI=w%KTlm@ai)az12!r4+Ixf<*&=1XKb_eyb@DM|lM<1Y){$FzBCi~G
zf9sO_G`}SvO*}bS-yYPEnt*=8m}IgB26XS=zn__raU(S~6))+`EH^)wR#?VGw;{b>
zk_P!HtnXh@rpTN^w$byUK7AS--%s|S$m?@b<6xGr8j151WY>5P-?)XX1&ey`@+a=j
z$RV63#aC_|ev;RWr~Ks{S}d*d#`33k4_@~o$wy^HlrT`UZ&Wl*oI%SH3594sb3xfD
zT*ZOmTG*l>u<`SGsawVzI*wWFa~FFE$$Ul+Hc}
zZo_@)62-0-A!7qax(Y5#jN#SKhaYpuk%KERUKdmv-vLrdZ`E?vUhn6x>bLZjF<5Jj;XYu92
zGpM_niBU{XPwN@9I50+Y5K-!(j_|>h?zx&J1;L^baR3wSv%i!o^}y5M5fZ-$I8%xd
zl0pK`v$unJB>BA|^+0lX`y4zX2F_JhWu*a5Mu{j)Y%#jDxM9KySw9B07QFmu5wZ+8
zzXp(8y;Iv?F0gZPH*(Pv0k(J!RV8cMWFjH?v-%0EFeeFyYMGO9WtEh~T;RH21}xS5
z^V;vfc(b|k5iIM4S~etMlN~m;P&lW+GY7
z==8{d!QEqE8PDm70!a(aDI-$KOihxrvRWsUk#%5iiK&>voBCfxCnP*{5S4L49c6QA
zh%>y&)Ik(+e*(sM4uvdz;9GdFzLBju?DGPHs&56V0P3dx_I>
z$zEBtIrP3&s1ZyK?=eCE;Jd`N*j!l|0Z$XbWX`u^bAVQmI~qxHPRVSU2y%ybu1JDT
zgfXA}xf-UlEbgVSIPYMA3Bj!Zd15qL)R7WAs>Y3%ZE}T#%l^m#7-p@4XRi##BcuzY
zI%Q27GcioSj!~lMAF3$DlfMkF!QWgN%LfJm^HxyEIMA=;y^^O3LBS>T8>z69Um6^y;JLYHi{n@z6s(?GRnPcdZ!QxfcnNx
zZ$G#==zvR?Zg)W(?K?v-o?A~g
z_<-)>#ft@HxN0YkROR!e$Rh}GHvB0{M4ml_@N5T+5=tLPh0CUh3sa-+5=I8-O^|{@
zD9N`=5GL5a;)eAnYr1q6GJ{{V8+}88FBuC(a~PFPn7-y9vI!DE26P_>_-&E}|FQ>o>fA{{Yz}X4tYanp!Z`GP
zeDqN+>pu!3S8L_ssRKIrZ
zY09R+`08U#4UKo*-5T_P4GkN9KZNZea8*9cJ)=XAd>LMn)}9+|$RAAvwBE)-zjcQ{
zhgD9lhKkCpK_cy&7QE`TX3I=4vI1VYuOt|c-j0>b-ULLBD04%*6V#Cum
zFZ_&6*~R{|M7N$h
z=Q>f?lF@*3vK}N7UJU5~DOfnuo`GJ%KtJ_JZ(IB|JCRKwm`JmUsP49Tpx^t@<1|UH
zEguRZs^FG38E@Yz6c;b8E&QY;if_uhVDZov_fI%UiW2&PJc+O$aW$Gkg)0FmK1y*O)~{Yp>Zb8EM%
zzJW%N^sNmb8a`B1#!slVpsacq6m$}^#76M5k%4}o)Gi4M$y`1nU#Rg4B7s%_@(q|-s9g17
z{SA$uP%HrDB=EDj{Ksnr;hoo|jI?L%C3y21j~K|G-J`~_Gs@{8eNfPfoeD$a=}jB#
z<7Vmqd;|!W#>0k25f-rr(MRl_w;p-=$jMJa(d-Y*kOB%gI&4&eLJ{chh@<15KTirp
z(EvHj=mikVuq8K6t_T>5QEKbxWEU2GgLHZWo)c?VYX#aC*oMNgxY`$Cp?4e|Jy-^c
zt)q(@kOq!ZI4oh1I>FAhcAqB_bMbwc6jlM0U1P1EJ00BDw4GX4M?Dazz(tEft
zgVkQ2!1W>q>gWo{*6ujk+U7wQMpI9ZyIz1duk|R7qIVuk#)nH$lim4(P6ASXNug;I
zIRHhiP$`i0EAdEo0JVMkq_FJW9a_BLMi>d|uetO*`S}==e$_%GlwW-;{Do
z1UoP_Edn70!>>*dbHHF?1+FVbP7{l**`~^CJ8>iR^d>Q{fAjhcGE#k)`sfAmI
zen`vYs;&VUj?L(m1CP
z!lRButJL6Zyz}SaHM;C#6me2{SBYz-U>EO24oF)#rlzRe3&*du`p*X(!f-Bt8-}OD
zNxuMzF@XQ~k33lmArB%87Q!5eAiO9Hgd~rNltgnS)FxTQ#k~_&zRl>Dn(FFrOG?Cm
zZU<=5Ht*=)5gU_}F-r%$bmoT--SdvV&;O25=qA9;{pZltS>m1Ndjh+f12Kq`XI@mg
zGJ`9YyLFvDxAK}@X7lJU4b9)dc;`>UOm4G_Q^ZZ+h>DIr3-IO=JU4@xD@IoCCWCV+
zk@xB96H|T$Lp`OVk1$x?93eSD;Ohc^Un8wIHj@V&A4lHTYz$6G2xHwaG)w@Bg9B6l
zjH0yc?82Aw<2P`FVN9!4Oo)H50HXUP{yd$K*>j*A8hUj(xi4sUd^wHbRUy@V3SS0r
z`A?$h3m{R!js9tc@TT|wpt0-2!)^wSdx6(rYG=`SbTuoFjo`n>Bmb~SyjneYh7#y@iSfACKIEeNE#0_E=
zxY51ZPbB{v9F8QW<~K_7I&f@8#=Pcw0gD4-PuF;%FBeBlz{rt8_S$*B_;2A}iyz=e
z&B1UE1-_pF81NdCKMiM)?4D3wWMhp=#H-~7jMWUCCa-9kQ$%6HN<@!VMsvZw`rxB?
z0Tx9(9IH0Oy^4%{3jsVhyD)sL>rJv_fb%LWJInF`iZ+%7cMb)1JHufu$3AU^KIlThv$Q`x*=zm`MnLrG-#`^$Zl+ERcupfKQ}s
zdY$NsjTMN_RK-uuon~*hVsqqX(xS+ArdLnomN;OW0cZ76-|r(SrIIq
zvJgc$dl#ZD`*os!ABiHYG7lq#rH;b}E7Ud1uRsVOq=iZN!;xMZD7~mg
zw9xTogkBS{V6V|O{A-hyI~D^vZ#moE&`eq+DQ4#6XhPo)_wprQ9w{+agc2X`LD)$%
zb8~Ar1nVc)6*V3tc0UW(x_&({Wip@Dw-(HUrwth@(@U#LlH~Plp}6+KjXN(Jw4Mg;
z?{ChXUK1sxqywj@ZO5AJ?CdDFbVOff8=44GL^qTioY0uD9@zzC^>>E_)@Xmg&hq84
zum5X%Jm``tK$^mwCtZKG6Swr^qY|{4i%RHNLSVtj{DAcAqfdN!7uL&0Y@v9&0cnUO
z0#=E{nixZa3DQtSdw*CaK8rp2Ar;YXr@;#WXi1}IfL)t~5dXPAm(R3v09n*C04cum
z_ki(asjHpCw6^!uMow~|p8-6@(*W)X+NlOOkq7N`!PzGaU(789i=ceYzvn_4osOVf
z%k-E`hz+T^b@~+1?PaNU#phrF3vfJu6D-BTxW&FbEc|`KN>Qi2`s7lsHM2SwH}?lPl+r*m
z5E7p|y`wh&dox=QXj$GoLSi+rJ7Q&Jg|eX-lu{~g2=EK|zDZOEMM_3VNgwL9fLZaA
zCsm(veq+#rJFafB|Bg>)Nx9*jqaej9*y
z1Rm`NW9+vJkk-i~Wyeo}!Qhm6Ya1HoR#Zqqe;@jpdWNb4H*R*~>VMvT_%Ij33t%~7
z9*EnWQhApmA|i|(M1QhLiK+hh0i7a0FwK5WS(z?Q#C!j7FwY4&V7y*A?~4+R0~K4_
zDP}u-5fdlj@U9^$fZ1uV!7~&OWs-gi*U68A*Pt%xt%=3v=jxX#<2t0*ZkF(G3Ja6k
zj8td=_l8;%Am6ysw83WA+bhK$Tec`G5MEWNrxX{*o5w4il9t8|bWNZM(A?WpFz|b5
zFy4@oy%vE>Skb>uduUQ!GHp#Zz79x8?j4rpcYFWqYP?z>un==>P4b0Xab^x2KifPX
zLe4#cv?4b*Al=+7KOU3McPrpOpTtB)LJs1ezc>#4BivcAOel~>sL|(hs)>DrX5~4UDKW&r1^r+V~N*yK}3kPod0#nDu
zDyaT6mVm>-jddJF=oAn_q!LvBEAw&xXVXw0_p^G|xyRHd8XC9;Exfm(kh9Q7)6&vD
z4BSRUfiNXm(E(2DCN=9gT6j>*(h}#Tv`eRwaz$JnL&ho4&xi>=M~g_P!D0Fh=yv>g
zfZw>v1u#E2geo-;g&qLlB(F_+z%%JE+xWDJiF-hZK>e~bT>et!eY;A$
z4OmO!*0g|&w|6zPZr=UNHlNX$+#D>!$%dw
z1htkzI-iB*QqMnb@ArgOEF?0N3b#Kid$jNL5cVAyH)xL(SHwRTezd3yK8b#~x4HBY
z0IeB#bx(o&h83oJdv!7@KHkPbG?Me5R@F=AeRI6z74!|dAW31j++CmRJ9FxDd;jSE
zU1S#c68p2-xq7e_#vE(K;y!1P-7o=U{SJT=F}qP-Oq|%mxQ5=Vd1#9b2S7e+a8M6m
zs3NrqGRx@{w%ab;sR^MJeFOlj*H02GYTGVs0A6y^ENubBE=&z{*`GcEEuvq?)6_EZn-ap_DXes
zH@k01)!;dDIjkLy;?~p$(!O!`ODs^$|Ag=7~*0VS0ANAwOuhhVyqB!_6IGaEb%DUN9
z;7dS^1EnFRS}m#ISy&Z8w1MLb&=`OK4-F@}2K1C?(Gjaaz<^5uodYO3J0`5UsH59b
z;V)&WLtz4YN7xry=vC|6RdHZIbCwOIefqt_kWu#qzCLfn9nk4|-SpQt#n8|JMqn&m
zb)dgJ7KI$eE(_WZe|%_|cSMF@qpOU=P8zt+rNUl9x`%Hu(M4C~x>C%JqlIt_tq
zl8N=VeLwun>x&Yem9NpCo102DY02Xy;GgWIFd_vhSw9~XBvI17I<
z90vK)ovH%u375?u=Ag2J%Bo8V&|Xi#3F==P?i(OT{kv?)+MFijm#|(Ny=Qd%4~2Xl
z-K0Tez!)+hO6&ubA-e+xG+aK9K(43*4OIZwn^3g7|MofB@_|OP)Yh<*C?xyrHU&9U
zu=tWw?RC@SHxM@3xk&o*LDaARRNU!OLd@w~30E-YY#qY`SK=yn~qp0MKiY$>ST
zw{5DswC3O;rpc!S34>`H+6)$9cy#hKot=x8%O=UQ+x(J-L0tqCK{tpK(}Bm!Zo{(y
zD?1k&f5yiwk@WpSI|^j`9OB~rrNogt!bDvVot*9AG*|8aX~S7CkZKujU7T&+kFAEk
zrJQFYXr}N`hE7Vi%>Hd$T-^H8OP&fn>1w4F4C_~1Jx<5)SN>K+jq!|vxev52e3=vl
zY~V2={R2qN@(*Ss0$0j3P6}0o2~UfMgqI?#PF=K3b;y)&;BGc%5!LFXgE)X
zit8DY+_2BlfwHPlHNN8a
z7Jk83gKw^qkdSEIx$_>CR-Mr#9stxr^>A(a>+X`B4-dwDJ~JI81uEh4F%myG0&%~b
zr8Yonjlp^E4UJhrL-sQtWdRk)>0SfdbJ;Zy?Bm=(qci)VjsN9$H+NqqzplO>j=;3G
zOEm_lOw!sq8#G=j+gHAvCuO^7R_-fsGRw4-F%)!0_38^=p;dZnD+Yh8AI0*muhj(<1W^U(jC(<33i`QAT--rEyR$}6ilP&ILCu*}QlgFO*tK7K;0g)*hOz130mOrw5BH?;t$K{KH{{LhFA1uZc4HAk68X@6Dci^r;wCgRgg8
zag<=tjy`^F_A5uAAtZ~rbh(4fGnb5bL4DPmtz$i0<`4(6yGKidG%<>PENrAKzqGWq
z=l8~rs)2DyjmCQ44K$fW%?-ykukugpOWD53)h-@iqw+tkJX!_@Io5gQ*Wr<=Xlx(7
zdHmaQr8zOHS$PwcIxIqS7
zUmH7kVT8AidNgW)Y-m)Y86TpH_u88=i`lNXQb+r18|yu4ki%Q&h5TfL0fLWfLMBE<
zrrrncx!4*bX3yV#qdrGoW9e={*rN!KLS{Vz((1RFnQ%4CmTOCa;79Q34ygrR$%GDB
zxh9b7yhnxFNBc8!qCSV7x!|TyR`-C9h`25r+)9wrx|4SE8~PadG@8>)vrd*=r}IrE
zt-oz*`X24f9qesogKL2|4g%2(_Dlu-5xtxNA%|1?5qM?A;qHRVSJ8e8lz!I?zx^E)
zYih5>+ln1OC6=qiNxM1LBw540#tE7RqG+Ta>tl%C9+2H0C%_5_fZo`mJw~v#t*xiP
zq+Y~kKmb&U+@K9bscz_&+`D()5ASuM2q~|A$xR4KA3p>X^u2NWowqf&EEs6AZ7Y6c
z;|)+~%x7qDP|6F``&p@}*8oBQEh6Q6BW?k(Fcm$;u_HcH+egZ;xu$D}ffv!{uo3gZXWM1bF-U2hhIy
zWP(Yub@FBBoIn=MEh%{yJYkj@onnnoKYb=*r4_6*9|X!)I4ZF
zoQ^ezV3n}x&@Otc^5MgZ1>EM_d+x{CUdpABRJ@FiP9L)UbgOja(Hr*6^76Y$-n*IT
zT^HE0vFAFVmOytDie#*D-am{Rc3yrK1I0tTfB-1eH*pjnsxKTZ%ifLgS>ClwSx86K
zEMw{PYcFp#smZ_^K|qJ@iK3!nm#jmI+04Rit=L3^5)8;Xdb=Ixk6BQ9?@Jom3-L#{
ziNEV*tQSBPfbc?5F|kKyC9SQj{v12z^eVTwcq2f)EbqPZNa%E|&+_BpJ3qPKjHAWN
z{iYHTQUlM`hKlWp;9OojDqh$OKK|%93ZDlqTm{c-(n)sff7)LZ6jXn4rr)pmIsxl>
z{~tWHarlV+c}P|8|6RKJso(uiKtXVBe$Ze(p9!DkG(@yMsW4)8b22~{12Ob;9LI{D
zAt;onJIjVI5f!FG1K-VbOQQ1eIwP!jnu3{NKDWig;d~hCwfJd#Z9oXmA5TYd$frPd
z%ZZV}pUw)@FSVVT$3rBJ!H*Q1u792x9m;F0;BF}E@w`$aZx<^=_#inXG<0enKLB8Y
zqMj=&OR=&4FgceP$IG|a_1OGp|s$=kW&=3O33Y
z$eunY4!|4GaQ#H`Xz`c;l#x*z1eCX@i}3CoLmRXIe6w^cnG^Zk1qbhFcd}Vsg@#|XykNWD7ASa63Z)OTs
z#!_eOO~a4Elpq?Ppr$MI_X5(7hnqXAX=RI>GzVLgsH%tjBk_SG@4oMyUndU$1BlM3
z*jTr2Gb&QxRzUtA0(EarN(#G*bs_#t=Z@21q}ySn=klo;pNg54=t#WFnIQO7Rt_R(
zluG&a%PhO?gj7e;+RQ%N+CJOPFh_@6*Noj#lP7|pa!>@J;{R1A58_)Wa?(L>ldV!n
z_`i(GJiA6wo`{Da<5*U4A^5>Q^eYhg0Km&2y(Wgsg;yp1j??klWE|?yUSJoe9Lq%<
zCa&h*{WzVng)O#~=ER6@$BA{{Hw?a9|X&`f7IFmxIsn
z{iPNnB0&Aei(Z)k28=|b_^=pQ2dI@*;F=!fPrb^=t6a>~sw-YzGDr6AD+`^SqrdXE
zWQLyl>0rII(Cb%lYas(T6i}_+LNTP4y85@J16L@!pk%ayL=8n`9|47QGTa5x_c>fk
zdSX!Sv%ayflW&v@3VcoIEtLR!mJ!TfaRU(I{Fdz#?S+M%H|S=(v8%odH7X{8n=Iro
z{>Y`@FdfZRmnwhz%kC`-AFPJ^XquRqP-bt2S10a4@^JwJE$EN!zJ`K+1JbB95HA%6
zn?vY38Du?mQH+49H?#Mi4S8U(opSM`dti(UHPtKhV#02J%qAgzFFNakG}&RyYsA*-6=_O!qK_-&E7Sc6+M3_4mI~j-)@mTfg+60)Z;lbSOBD3p
z-$u0Qbirz1LAf6L!JwQ(y8Xq6;+e^ob3jyf4kg|26
zbgMed-RW@T#MGAT9c;%)(uzmPS^D3Pr3cF#-t&K2{GeKjee~nLJ5&*$yxNa5d)n6>
zT&mf3d^k{`00|8*TaCh1J9jb4JPbfKvG<`acQlpK!!x%3^1yLy|mRrzxJ2i3Hb(dMf!flPv|&jr_zdX}JFySu;E36q3Me01qRUtb?o
z*q|ZJ@$Fr(gZJm50GSc?rQguikVTm^12(zj;gBGo(=T3A~l;zT3
zv17RbIBKaT46@?2;xSm`<8xz!Y<*@pT{R&Ks{A?FavkW$LHphXtwPXRRY1AKK%#1E
z=gP&Jtqm=f(JdQMA!G3DghN}p#uKFp^M@lNOx(NfhiP!zEqr&U(-!d4r=l{XC=8=G1yvVg<*n(v80cI8uNssKH+
z%3ufk*VG_}r6+l3K@WMXKf!f0Q@BIo3N%bnn&XL91$KRA#%I)RCKFhz(9qE8A<&e9
zj{G9fWQ0XVKJ%UB;-aEl+*xb-y1+lAOeRIt--WH-&?&3j+PGFbx}}1j0IfXgR7kNWpITlWtSeU=&uJ&rS%Rr+VDi`DLLy3Mn1U3gIv;M}>A9RtPtBhh)5^f!>gr#!v#=0=
zgcJhhK_i?$QD9^5hd?8?3?fmk)Kl+;h4LCG(9mI47e97FE?yMq%QLjT87I;bBklG<
zE8SiX!~`J_Ro|DD4MdnpuYRGv4n>H%k&!Lk^=)wEjeXdQ{QQ~GC^_(GS|ZYVfit|i
z#=oYf=vC8uB;ZOxs8+W2&fi<4ra)aKEY~hPH&CG1w1J)`4J8L9hG8_?S~w#NBP7N!f--Va
z_{l)|ZAbV+&RgBo`+}Rjx39J5HSD~#x4Vm*w~LbvpU*W?Ve3?>S
z6XCa(Bp@*KU_K&H^7N+j=j+_$D`viX{qY06mx{T4f^Jk*ecjh7zFC=deS}3s)_pZ(
zQnfWYiaeK`@*QPegNmb3QDLl*$drGB<$muYdLG&%is@dfbyC_%Li7v_iR#HQw5m89
zZnB&n{>eZ^0KfhFt0{R@R1~>5F?>kOLMR|0pmu~R#Jsqz_;OA5rDs1gBH?3V(Tn`G
zxBr}eYEl~at;TIpfeyY-(Ri2$F1O+5gWvytlko3tL&EX!l}0u6IIF)Omi>L^|9a5>
zz8quDC89S>?C&?8o|$nvxSV6q*xpVim8NSYCh&q8#u!@o`FgsdKO?7%Yirv*P6l4y
zgMP2;pPzP>bXc^Urw^E1ICM<_l&y?7EQ
zAyAQj=~=n=f>Gf5TUISSy#b!ou9>px>VbXVpdjV`>s4C~M@>p%*-zSA_2p?Bhz`y~
zYt_KusYOqpW|?Zc*D}!(Nr36;>CKPUE8P0|Jsh6U^!Ba#pJB~-9_zUe8H2SRg4HfV
zp|P>lnCfGVduxlO4U?Zut{(bvicM#ZhhIzkoTSh5y9Ell0;j2TaCW2U=6sTpbXmds
zac!PNfVpM*|3HkBYn`<_f1
zxRfZ6B!ad7`Ki#h5667Oeb$XzGZn=}84~@cE|TJIJxECjUm1C2yR|fAP-Hy+`5Eiv
zDwcx0s9p@(O4W#qC*=}6H95iUhP`p?fyGy?+_&1+omolBKi
zn68TMkOJ#mIHRUUh<>=U<7fQr5=|s6w_1gLxA$*3LPA3K`H%dscYkzg>FB6EI(@@^
zWmqmFh*sbQ7nq4WnsTO6fB-yKvSC+>mRC6zkH_i*C9Yn*iXM3W(doDK0oxxd9Q5<@
z^A~2kV6ANV`TF>)%}l+~ACh3EFYKb5WN2^wnn^9c{#mSJ##7wv1+mJ(Zp9fD
z6^69a=wjJ`Epd%|93m#jOB67;g=mj<7aF;GU_^61p2o9pTho0_r49Rc!6M1^aJaU+;dqFD+Rf9Q$%dw;QEzVl$qhc(&lObq
z;#^w)*mlfU_NboD~^QCC;jo!yNd0_>#2ht@DMx>iyFfyXUss>Y-$
zdz(xpR~zEQEZKUTH+b`6jn&cm-jXW{y&hshqN3!s?QtXq(u-$s#1OOV4P0Er2Z}F~VLLy%
zBuNT-@98W5A|4nRKjb?-b
zU2U)rp|!QL6uNhrs6b=2`=cF4T!t(nEe7{kXJ
z1lXHDD+*0cQCiG!S+Mr`^Kb7SI*MVRo}6b&Z#zC3d~h4q(q-i3q4o83WRVz5;NZtb
zkBT7J__52?xUL7s)Z0&x2L}glE)6kZ$Ak9+(d{6k=87l=?XorO{-DC=Hat8QJ-c|N
z+J${(wEn0p4Ffv|OoRzV&%AISx%tDbRvm#C)G+$sKl^`H2{4Etr;z~`Fq|ziw)rvLiQ)Y>W?@^@lF)YUzxg(>f@!@#!heFz4ombi+ilpfZ%Od{a)Jp#H7GfllJ;8)^{|5o&IEV{fj+?)eoJExfq|`cASCzHodv
z6arz7s2++#`uJ4nZAzP-n-z;fx*C0X}z3_^r@
zJHLPuV4s*OyG}-C7M5JdZ{(DejNI*_7mLjg<>cgG_;4y#O1-nV->qt@EZX@-PCc1(
zON|>&Z4N^(u62C)z>*#jwHXf2fgL7JN=`Pc^SrjX@JSN}J5X+`*JsHiAC4B7i04EbHTZ96?LFI_-D05#ijRd253zT(R=
ze*XUa$Bxk?CMF^$i9;LF`<@mqKyWGa(|;@w!E7|39a|VwR5oGHotz%pr_En
zQ{MXhuu~hIt=*NbIEr$SkTxS4C|cX*l%po@YvX4ituD*Uru5(mh^*Y);sIt%%=bS2
zJIpc|=0{yO--SMsi_b0{N^h%_Q&4ye*#o;PaYjgB1E8$Eev;5GAS0}Ch=7~@vOot+&%LBX&9M*1`g7DB0jhcls&
zmzqaME!{abtgc-P&p8`Oh?Sn^lVXBh8Tj$zN14yEId-7ymF()+=CwFbTpN7w2Asp#
zkg}H`YV(Mc6eBx3d!c!i7`lD0$9uJZaFPrg{5m8kGk3zgCYXk`CyOaPHcBiMM)lBM
zKA^V}q>XosEc)D8;=Torb6=IogS=P~T)rRT^t
z{yy}9eI34n==a46brVc|s=GKgT9=iIAT9sS9bzu!KsL`hF36cI-0jaV-stC%s^c;#
zf#Ag?f@|l`^#qTq0J9XsRKaE^rl!Ei{V#m|+A{Q+rcq@|5BDU}ggwEmZ`WpW32$9n
z>p$MK7hnoV>dnD^K=RAnsm?CZQ&0U~3X0iOWaDr)Xw=d7?x{l}yRUQj_vV72e4M(w
zyN`OlPD;YVhj$@fWuJ|t%@s`fnw)BQy;UMpOq3>3)zHbd>&W=`?_#H8
z!y${#f2)ziBsl5Q#9%j%CJ8xF5u{R4pF24ky!Vs!$HoRp0e|ibGy_I%?t9K(N}5JT
zc>tdZk$gcyMKjUBDP$8_Dn0)5`W!9j98+cY~Vc2XJ+;_<9iGKMr#ml6V?{3^4EVm_-I(hPK
z1b?m(fav5Jc#fT&U1L`l6$H~m+>sbDDQPZLb`W^RUl1flLp7OPgFHmNi{y!Ss*+bh
z+To9Z!BHKx5CgQkdV1OcY!RrwI>*CKcAh`#?p-wvjRMHT(l
zu!~QPCp<$EpI)w!`2MAoE=4E*m>bS69b%=OQk?}~>PE54^I8{GJC2Bso
zAxg*5*K$uU72kdSTpXvajx71_WV6$_$!TdLGBPs8rHvUNUfuq^Nq{YD=i-ETs0i5W
zMN+Ax8??|P;$f*nb@EZR!N8LUpl)mglmpp03|IlUp*%`letv%AP_qMaz(WcKOejV0
z&}l~E%FD*iPHlINK9X>?kdGe?Fbl{8EMTgeem6t>`vO&3T3TSmAgTbpB6S^#?YB@N
zpu7R4?OnKcKcECz1qH#whe==^S-B%SfZj+3|S^M
zm`b5jkm1^Q!i~-8naCs|3ca&-L-13ePHs{`&<)cSK3i&84#mSW{LrHt>Fx%6NU${nxm5Z4Ejuo_ujt4t
zU%Efrt7I6e`C+yNi3}097;usD3-0h@cgG5whY_$7A^DP{=l(Qn~vhh=0~0l`4j
zwQ`akTZI%cK3X3D$kL1lh9Cyqh8kcJsPH46oPPw{Kx$lJe_q;knC*HM2T%YkXd58v
z8use4Zm*1RddiJuK8S#@GPx!q!A=7)W3MZri{yd!#_f2BP}bHtV4n{Fs>HSdNsySC
zN$czDTY2LfEH@+H@#FOS`}-X|J(^o#)PS_bDPh($-O?V8j-XdumdefQBe0%)vJ!30h2Wm6GKlvYlQqjDj2?O
z45W~ajSXLF7Xu@sfIKZb1DS(~sLN7fvOnuK(-b^IDgZ9)N4WrlNE;Rz898{|&Uo5W
z?kRBc~5Q=G6wJj51+6CLF=y8gA4`n9>jEx&X73||P6UlPx4$+H6
zV~n2Rj6+V^e*Y!$$o&B%)!9(QkMy69`y*dg-zu)6;gc^74~Ezg&f|s%r{FfMK!uDLV%TK`}8M
zbbClBq&aD$G>|8Xi;Ksl?cPm$)&bW5j{dSmP4$+DcG4CZBw2wgA796Vq1@TsMU23E
z;LsMX=;~5KIcnwL5cw}l*k=PGS^M!r&E8&kYh?r(f*B04{?mI}@5KRl25so41UW$Q
zYCzZgT_zZ)Rw>Y3h*)v2!+W3G2>J?PA2D3gxF-O(HopTOR2%q93Y?LFi%VRdHZ5^$
z`CH4#2scEf76>)SQT)Y;^GqHt45M5$G-L*0Pz16WDqbPP=24+fU%$j}YHz%uq@#;8
zFNTt}qY{j7)Z$Gb`&>^}q*{)umR1z(K!p6w@5HREtdPLR{}ong(kz61oZU-*k^Jl|
zvLr!HPR_slNToWR*4MA}J!HKeY<6Io?khZ~D76o7;Gg8PAW#?}MC
zg|yuW)T_sjX%wY&!4?Hi-_~Vo+4pfzzyZB=Dl9&}xg7vd6e8;E6N4mv$E9JLb{kfG
zlC_=}O<${=%Uwt0fjg3#Od?odPNmWkg2qP*bHV-!=z}
zOm03*)R!hwDlzU!5RFP)9;I7Wkkb*ee<o*1WwyTPN7{j~PI
zJ{Tyu;%wYSdcZkk)SY)JM`4kSz0cWcvdSpd
z2D4ITy(H(5C23T7#KzG3$&|dX8HL!3efhrlpnXqY53lyHKfa0H*XcNZW|7wo>lBpg
z+quGJYCu@I@9+AHrsyCf0^!>8;kniQ^Sr@z3bL=%oL27)lWn`NewXw6Ei>?Ij!#NN
zu_!?d=f&a+FvXzA=rFkNK7VSLVX>hC*4Ul=3K?vWII*!Sssx*Wvw|Podgxa1g#fFu
z*;4zL7i&E_@$Z(0>%3~c7Z_b!Trcw
zoY!X`xpABpN~Eyj&zAZm&WdOvoqQvAju+mCujF9N4LWCplXKdhWq4RGx|!B_9tPr^
zqSj9J8c=0nYisV9g#_QH$#2gchpeFKRvWNg0->)Bt(}m703k4EYd?RgKf6>6NLK8W
z!zxEvm9MI`H9rvAA`oADt>LL=6n5
z{^3AX$xD63aW~7kJ=B46;5#PApc%)7dQ;GOJbWDHJ(1;Sd>xu%2&fqt&_it~3AjYA
zyEraux4`HSWp`d>wFY#ru-%HErx^~xqm4dUTsiJNZvam6PJd(n^XshWLUPyz9YAN0
z0jTiXFu4IJ+D$KC7KFZ|Lr*3Y#2t>{7)8%b%L#$Sh8nrhtl|kI)R|d8%1{#!VnFOk
zz(%aYk^<395xl!jhFR^bO~7tlOrO2|{K!jO>oe*?X24JMtgK`x9IuW6k&{cg2v{E)
zKtPI6Iv3~wb-+&Yf&L>E6pqvwg4Yn*!T!ZQeEn)3An`uT8{j>$dj#GxJ3AYLMJ5C&
zC3RbWl>Eq?Aqxhqj5qVNVrXAn&AKpRn+4ppwgV;h`Sgs7eSZA_~
z8jRCdg*WthKTarPH0En@7)gO3V@xLQqC5p!W&fHpwnE9B1{MA$
z>0_Hm8RKs_0RP(VMLwSfG(x%4Ct+j~8^({{a$@+(u7Y(@B}65bo5BUK>j)h5KQp1b
z$0-9CU2BeO_%*+YDG|mPzY5fqmN*OHE#dAb$50zoR~QhpmdbONB?3$)?#5guv0X2?
z5e}7LkU9C2JN+EaN;zLTU0r7Mm2dIG`Mj&~usvFA;3B;T``aoQsxS=zF_c?JZE6W8
zKQ>R!Rp1lmibhZ3f+y(!?yshg8&!s^T=1us_Oq*t{KCaM`T9Z+B9Igd&!+Mg`c02
z*~mz0G$$5!)Mfqd*Eok6{L4oqLPC8iFiK%1r7N$tu~aHu&3{=T_`7UyNQ!0ggAs;T
z*C@n5m*k70kEPxKAi(QgSXSQ4|
z*Gm3~8BN7KKE7HGHc1NmQpncrN#H=%!T9-iz@N$H*X;(+s1S;WrS7{M9o>|6(!uJ+
zjqZA~4gmndECaM368f(X*ZCPiItv3JdoYtCF-|{eW7!0>nf$2?XK?-aPP#sPc)No$$OJSivX;U(CV5kS@=Dr
z7c0Z9BV8wuKM_+AI6081si}=4T9YQx4}kxhQXf*xLZQ|WS%EcwnY)~voGG-2uyNQ_
z1h)KM_m{9jWwda+qx&5_Kz}GB#D^hkC#I!E1J#!cr3$(^jm%i8VUY&bA1*d5%Lr^t
z;%GU&Y3av`e;X~z=st1)vo{2ayi|$DU6an1a+#mwP#`g{IoO;+mfEQs+g3eBv!O+l<
z>6<_~EK^r&Q&F;NnFOkz3SJVDUp6iD3k*~t;lH6zw!SuTcIVeG4+pi}xkBT5+F@t1
zGe)ceQ!CuavLnJ93AK~%l$9OF8t+gr`APBjQuQwwR4UlEjTleQc|E|tXR48?R)xBy
z1)3`3$zn$lv{S-v%7~vlU9Dwzw&#UBglA>ZSL+dUBH8=z{_^5!$;}N
z)5OfU|IfB4vqwrYQy*t?n(F@y=elFMuJL8+;85z0p>P@
zNZW|6j#@&tV%xh9O%xEdG@xvNMpr1E@{X#vkU$353q3#&ePJ$8f-qACEiUjL&S3Ke
zm=M~>R{AJfW_-z!4*T!dLV;eFp1&DU2JjNRdppD-+Fu-El7Rvy6Md*-@
zRApc=g$vge!-OolFTzUMMu+akspmmsg2iTKIJaS6BaVxLj*bpYKsUAdD{0X39}JuH
zEx9A49m>S8KnhchijQxHI1ABnZROP}Fe7$9b}bi)>Y6#W-CEBSPksou;{oe!-2Jsd
zfB`RlrvWj+xFQqDAR+cs4{?<>DT)^R
zd6|D^m%-v|J;(V-T_*16LbX~ut2R$h&owYiBGHH3Af|yiq@|`R(2-)`KGCn2$WX?l
zrV3%d45kg$dL-~t*=}QR&?a;1ADHk}80D7n(V1*Vf|nTcixb=H09il!+8@JrCX09p
z3J55{T@421Fsx+h3f;w^Oi&)ow5wS?X>MupSm--k`|_nHy6VM?>ahAptUq2zCAix?
zL&>~N%_;&ayMw*4189gvCstHcz;|cQ2`BSscNt)+yKyQx62=sIIAi5>&C_QAq9An$
z7Z=xY{~vbXP46v>2b36Cf2kv=^pcRn;?0@|BZ*Lg2xL!saQFd8*q;X;MvR5ROVPZ^h+uSs6zm0Ag
zL!j6om5L|a3p=^{b(<7xz40fkMngEcSrwH7wcg%7{kxfTIQ?d3ow|0RK*v_WfaAe~h?WDY81gIAu
zc>6Yqh=2f%GnvEdVgKVOi7!3KCsjzz_KK&6{+-Ir*Z+iLoI*rt!YqVL)i=JK=2E)F
z?BnCJv(`cf>y{h5zABBS`j)B>WIQsEujQEbdIDdpVn2jIf9rZekN%UGbELvxug*Q(
zesdYVwMY3A8H~QlXS;r}#;}WeER<9~U=X)Jy}?ukfeH#t4(Q(wrzCVl{i+`ztCrwN
z=nt=bxeB#;RAzK|Bk|1i^!Vd=WkM`)vsZI%ZH+!XDk@Xm`bNy}oC5-^Rehh%Kc0sY
zELI9`xj7ZDf`nNR^4dYIgGS6+IP`+k?h@s+$_F)z=>xRNkT|020=6aI?EiMg8bQNE
z1Jyl<66V#XJ&%emL)~GrU81=)Vh2CV1edXSvolF$ckS9liiu@Y0{>aKN3Ib#SGcd0
zS0U9!*&6E{a4vmo{^R@r&6=CT)m5~R)~+snOj+PUU)h*KLg%!Wd==+*Nd{0pg>3s8
zC-_15qzNU%t*xbKT5fsNez-Pm{_}9Z%V#3Y-F{F1^*RGPm;)07J9{+LM2%mpQjQuBd4HBxZUGtKKBK@E(^M`QB
z#^u(47Nc>xx@FmzXe2G^WOZkI2d`>~jm
zgEp{caBA58KiqgyNa8DxDbl~HvK^3jOiWJ;$uclpyq}^LEgUvVhFOgKVUHx2nr&A4W#p(
z@NlThqT_Hl`MgTs5MAMxdgnR!sU4sG>qFdF!vF9e0TMk&`EG;T837N`tg!l;DBJM?
z(AfqcYwA0dmXfkX+)@!7-c%5DbWrwXu0fL0O)A?=6V=~shlvD#c8X;2@$(aah0I0Y
z!P&oW_@pZPr(ezTlCaIdF3_)L$5{vky&)>??o7r1#cJy~HGz}%`394pCwR{aCkw8(
z>J2Lgn|ceqFc2r!5C%#gGF^y}Hk)#w>`R|zF?mLYg|vWT)tv@qa*Td&u12vb;f@vm
zaVezAlCXSD4!qC%EEOn?1f&wO6Kcli&1mG(d=1xjz>MrdOvz)lAREuVPb0!i%d7~7
zhlh#5ZOI~4-4Z9%ON{AJ;(!?vcjh0*BRwPZjrhdHbzuyQd1tZ?)P!rAA8#_Jo1fZ#%d46v
z2scKR?|(9GJlOd5Sa4)&YAR$3p}Tzp1Ul_H>L%P=VzV#iuEdndX9^JSi
zn8@KvxbVf+W2r_mAvvvWIaa&Wl$`iCFs0@G8}?AH+Cn=4_%v4T=&0B`!#W`>w#w~s
zr4du3RbG$}Jrr#FjvU|g>u4@fET4l{TS4XN3BOj#!yJOF|eE(Pwit$v|a^rP(;>D&QI$1
z&LodbjL*_whewGQerxXGT7^zFCR5Tp2MOfa2HqfP|
zF#d|?8DDFTH!w|rNvHAe3rm&tDF2}b`6r?Y{rqI1;|^;oAn1@^8B%rOu&IKqpx_Cf
z0u!&xUVTau>}(%ryC0o!9uUVGlMbIVXb8I96y3pmbA=)Fe&wc3d#$U>{`4iv*YcB8
zO9#QL6Tfr1-Jcy2g-5Zo5E99G%~D6ua)a6s1dF6}Jg`e?Pw!WHmvCMdU2U8#f0CxxI|H<{$A_!-K#P~2iz^m1-Gb0+0){9OxN`0o>b$&$SprKHy%~|@uJ!L7
z`fIXNw0))Rla2Zp)_;@5SS`MP_1Ng`TArGcQIRp*aVzXYrVSHAU9|wD@!R5FA_zVsWSp&v{4sXP~Db7yVB}1&~
z>k#+AmR@a^J3;${Akv#TI^N<^*5bss__P^E16Gxg&I@#JAkfAEgt6QW!Qrm))fi>}
z40bqMVj%GAJwf`8Eeq&>xMOsgsX}<(r^_*^?5+`ERttUkNL+_huWuChI3Ir=EagkS
z%)h=v%dB{-(MWZsSuNXkEO6tVPiY7gBC#B&bdUto7aAyMV|ud)rPwJqc&6UJJZLvk
zz1F6deRgB6r(KixHZiud_00{5dy!<$Xy^1|tbL0zF=jDZPdX>F{|>H(I};@dO@O|%
z8DzL**^U8|PM@Ao=&9o#Jn>ny50#a&)fo~HNKHZs
z+18hTjsQao;C4-S=2D-q#&BcQyOz@1ypWqbCgaU&J){{)uje&O0rSgjdHd%@ggro1j<8}E#=w58^yT?pkFRQ?#l;@Keq57w
z8|8wUkcm4cmY(Vi`*X7jQeeeCj~32Dh;#h(2l~0!t{?heE~0Y
zpTl7dZ`<1+gBAegSs>+l^R$_efHW)c2LgvQhUJ*~9WX#EDCeL}%D|nr*)d6Z29o!KW0xcF_`h|N@5*pULxT#!
zMX)kJZA8au;q2%idYNVJrY1dz18UeBh$*BNMUn;(9-%^ZZDXSa4kUy^GqAT;n@;=*
zJUAW{%Q7)7u~7N{BMZwbo_FeDl}eXBl(${f(8!+C^B*Z{QfyL)?R
zf@;MQ%-o6I9ZOWeP13E6_>Sd()(P#v&y9y)63RuHyp;$qGAZSO(;49)ZLP=vV5zEI
zLE1R>?M9bf;nEi@Wsf6!9p5Q?I+!a^?9~L!775>cmIgzBMg;{ZEigVBfRfRn2ZF04
z^-*GcjFQ@=#GxK@kd|I?jOJH%vsJFF(ni247I~t-9Jb^pV3M
zT$W<&Gm}yqkPM;~0FiRl4DxoQ1B069Bb@4~bp8@oL8j3xN_7Sr4M1E)fZ~5*ZK6fi
z|A!DXkGDKPMg!^Cw!n%$3q+d7bAjo9{g8L$8@Di3WAWUx3_m^y`7f;X?px-
zQcOM;8VWAM5;d@nxXhqGJ;~&>M#{JO-2SaJuwMM
z4zQ4pgJt~4!_my+;^G7z!)ZGL2)~CA#)NnRhY025qJZrls&J^PXa~T47Mg6tBBz4Y
zsG7j#kK4azgO+6Ci74;fe>Fa}@7ayao592qBvH@{-XuI+eD%TR7n*G@K7k9+7ZPC{*L(k)dR{j-IZ08FFgBhq!a~qTvg+%sms@VnVn41^Q
zi)ZEcaJ@hy={!=@XtGI3a&8QRUb(K3_IV!By6z2$JGciqd1geIR(%GwTh`OJaVcAp
z!RH=E!`VcTa$xxT_nGS>_&F2}HCJqN=@hAK4a$jJ5nkm2aeCm+gllU*vGfNM4A3jMRVY^zPdNJzj-V>Fd58=|e
zqN$$WW`?hrOU?S)2@fAU|KVAB=VDioq>uRezzt&RG_xhs-FKz#AlNRjykHU-7|55Z
zau5^&hcEM3>pwz$vi|*9>34B95aqJ#85uExcx-EU?*3EyLSr#R#CCNphSRjL0e!&_
zFdRGzDWkaCm)rw?#!Nj^;kvvxx$|9Lz5SBIN#ZB75N6PkGKlr#&>fbK8=Bbp&f0Dg
zEL;8i?fPflv$4hN2X!db-+~>0KW5Fyq4B&nI3G
z0{Wd`GVj{N9l%JU3SE$`M1epbe*61Za(e@EXhxxyZ8IoHwzjsQ|HA;C{QTP%NkW19
zzvkA~*F!QgxREX$lznHcY(8Zh6|F%bpAAC6vWkkcpu}3ANxgb~6$A$^U6YL=MDs%x
zB519WJIf#v+Qg^Yi*Nk+aol4P2Ze8AQxgGT$Xg?ShK&{7T&O51*P6(9vjG!8!bif{
z2s&PL7L_%CCT_W+e!l)sUd>n#C)5UjcF&eiag8OV*tI>7A7SF3MY05s*@rfsj@1mVRUfX@Qr;?G;#&z*d5;fZb&
z{JRVU*y
z0VcMPnPr1^WnsB8Z^cese!+Tg8PX^cml6{bTaCTBjW}TY59t(_FJE5v@|LeoqWA+R
z(DI;zp}65uWq!;*AmALFpc~-n>h4alu&~I3J_?6GZs+&j$C1*vHs@{HkvhKq*X*Mt
zArF_Mg!oG97SiQl*prhdPae)UI#O&|Z~iA8QlGX&>N!|=8B-tI?bY&QodDp3Fe5m{
zBc#ps?SrN@a#jC;5S<*;@lSQOIM@*%>Mgh(IxEzc@E^K
z-9}?UM2Sx7A>A@evfOXoW_gN&f;3ceWefU$9SQG0|%f%X$QGy6kkvv0xEh-7qc^8Y@PeU#{uW=fY};AZL&02PJ|E=
z;N&uwAt_At`gJi3eD~R4yT8A`6Yt}s+hC(?ihjo-d1V`m_11dW>ZVDNfTNN&mVeIg
zi@gTl00d@OWR&lq9BC;Iv=qSXM#vJCGEozQm!Mkp0<3-9sV|R_cW&o_zPULE)bu9;
zwp_fIzaCQXUBRLAdLRo}8f)Oiue4vvNuEY$qS09~==Gh#vcZ#T-6sfxe$B8_^D0~X
zQB2dlv@``Lp}(^os{{OGOh>MiB$Zd_U&KNBJPn95tD#7NigZ_{p28uXadn$FLVqX
zf?WLn?lANNLK_*DNQ-b@_@|x9KfFrf|j%3e28BTBXZp&Jd7Nv*AJZgi}{P^y;>Fd-X0Yk7871
zr8EFzwHyQ090NW;va1aT%GU>;Q{bmATSEP4Aj&Mc%U#e_eriGO-({Pf@1AOp=TBt~4uCUvPM43iU-H#C`2dQw
z5ThdTt#n8^t!-_dudk|JAT6<|3%&Bnr)gxQesGHG+Ye4SCG;Uf0WGrQ!LOYiD>%%G
zfFBm;=5KcS@?+>!_3UvMY?L3{aEj8H1`Sz~T22CRw}-FPd8(V2+l1S>xk>K9c72_D
zpQ&`&)59YXdPn&{JDdZHdVo4DN`X5DR-RKb!0Hu2!O;grG&*H-1P-|USX)bYqMudr
zHzEPellR|$Y)6EJH3<120_sEey*G2g@?klbjB7f8l~YbYGWWsR@_YbdIy9W8?*kYt
zl-TS+>gsAENGAF5D*LsAbcS&^
z7M4d|nGmk^H!uilXeAlHEPvnGnKwB-hyUKG0Gj4RLk>AlA$VWF#U)dK
z0By1CL~tAt_)=toi0te8^eO9)d3bpE4rE!tz8Ew-YU}E9U@3PXG5y>*M4wn>7zM9!
zkn{mXex=J0BWT0nc;F%Q0t6^)|5_MiGT1^=8JQYJl`ZIRw&$wH(6g{0tvWhH3`JMa
z_XkBU;fy#PVA%S4WrhVFNcy^{?+#*&d!XFPz5Qnk$tB?IQ8=yTRhJaHzDl3M|^O||%CdjbR4RJFMz`jRkOSM$8F_v%|{1z#K4Q
z3*i2Tm4iSRQUrxgl7&Pn5{A_SNnvDXm$$VZNyn=L4$uekfOES$$YbD@14&@8RqbF&
zLUk4r`A?o)-?-)Pf9RFc7BG4FsaJ!{j6mLR3;8Aqj;B;Y!D4ieh=H9JZDIQ6_WQ<)
zfh8h1*2Kvf1D{z#{Z;EVM~irmn$cTSnEU#qI=osV2hP+U4%&qYBkCQFZ#c$RxsGta
z0R~99eLT;uHUyPZgIcB;Ixx^gB8EeapoVVl?xukQ$+bSq=HU&l0)59ajkWBi;czA(
zI8c*q_ot9ya3(Y!3UWYEKhsJzfpaEcS9dVczBJ)`h_m~17U4OJ1Mj1
zcqRYc&Ss1`BlRP&MIdgQEQ*JBO8oFr5n*6Qwi%oL>Xm}L?@BBQ6$_t;NWq|OQBjd8
zNcTXJVD{t-H8nLcrUV4^>m;1{Zv+Te4)6fZ@YBF?nwGx|ER?q4#l^?q
z_TNn>xFMJq$b+-+wuX<;Mu1MAl1xQ?y%H^#ECw&m
zfQgZzZV*(+iOI=C4h{|@G_)X~*GO
z8;t!t^M2nsGiT14*|T-I?z-y#tLqMVq9BEZPL7U%fPf|aSV9>A0eJuc0kH)Y1$7-(7;^b=R07H;Bbh5Lub+R%yy6FOQa5T5I;bP@wzcB{5y_Ew0xK^?GpW6vAGJEvrs@(q{-KXLIuS-}>>LK7Q
z-|55u_6?_nW_aFF@T2Nh0JH3*9`V%^E6F^o{InTBqSsPbJsY~dZt*zEKRea?d9OV!
z^7(=71@Y+UC?g|di{R`Ywv&_7Gt*Lu7`vl>_U$u63K8dd(({w-;(3)D5eu_4RSUZb
z3s!8epr!zg!B9q?7|?ELHB(14cYaW9Ds+D6b8&bS7;i!2GhaGdGhljnS|
zyD7crA{STiu9wM}{hiT8nnDG4OsQJ*)lCy`LXR?Shm25CHT`O5d*)4L<=4$e2)equ
zq?D8$9<%!?9jnO-cMdiu{n~?YhEAOG^5}3;<&GsKa)*a$9;`k=&9srCV^5-&#+R9P
zal#JxI6UOzde!|EcB_H6_?&5jRY+cj>@w>(+~=mCq(nwgRaaLy_JqM;ixYCx&%e5gDLbAyGtn2m6t*b82++e@QVs31CnwFXx5dyth
zEEX0PgIcO?@0wHF#!rRIhf&>zp^9fIfu!H)O~>F;F}R+wgFEM(Zira4$n2{`S;JuvqrX))%2UHf?3d>2)FCkKl`6
z2iy(>2v^gu*F$SYn2Qj7p+A8uB(lD)&Tg>-?Z{K)^XTXThW-%}wdd}`r}mvhHH)E4
zyYqfHZCfr&#x%b)i8bUa%C_|MBW~DEy*vvN80IHzt6?yRW3bZJ^#>O)Iz0Jq#rEc^
zU(I^JV5Aas!QAm&6(pdU^SL-fc;T_rNOEyfd=YwaK6fFQKFlbxpD<+LA!&48>moPw=qasW^(ej`3+zTuyWH2@Tw?4rz{L}GyudJu47LN9ou4X>$wK>{T%)DpT^p1>-Oj#p0=&|0{59GSdH2ut%m7fxK|Gv_q
z&fE#Hg{9?QJIy)!UTvl2xQXpUaJm?dJVPVC_YX%0tk_`cRzvjQ1nC7woowE|pflzV
zrfj7oC9fCNu8@0P{F+Ps>8YlMhl-qa3jOTVNDJu}Ezzn}20v9i;?<(eC_9)U9Cr5W
za4D3jsKwTMpThHGB(-Z*s9Ho$hJGCh5lk~T{c@5+JgvEe@(B71Z7A?
zE_RaW%L(YKspaG)9`WI#zN@N&UseEq1uo`re>I89J`K3ncd71=Jd`L1RyoXVwoPv0
zb#c5*gO>#+y+E_^IZsjDdfwgCsS0y~l;`WYWJ9h3Z|wx$CTNm_8_axxi)4&PWvoPX
ztXbaqr$wPY$W_VC^4uQaos;nL@`9^F9h8edj2Z6F{VgkYE0dZ0YV7oevU%@?O*DG&
zLUU!>zMIO-(z5-q=}_2n$78PV;1d{$W^XV@+8%3)Yx0ye#xN{BLV!*dLnP?B-O=iI
zWAA7w(s+Mm;OJz$IU|B7sdL7;gn%^0rs?O50d$KQIJ?oJ?f6PJgbeAr-l
zp(uX;_cKE?b%i0XQ-@>UU8Dc_KULFFd%G~6>pwM)3t!AYD9@NVooz$CKjB{`Pp4sbz>sb-QA&z}J;_Y#&+`7!{p<-1x{(D3&{gD4i(KEEh!|Q?mtb
zI4wi;btVx$=u12$)-q;9AIBIN5ks?-ykdcH$t;E%|;o+K+?a_gj
zgkA#qQ9W*TLL=^|hWdf8gS@YZ0?hIbOw0o=4~VgbGqB?;+j}$jwpfK+T|oJ-W+dVeuC6V0m0Lda}G(Mz|=)MVBsA
z?%~C+P2T%)mWrDx}z!4t*IJhz;s(dA9bzuhN}B<9w5)IOoX%`WwSC;miVK)xHq
z18%_0nEk~ywuAZ3@>|l~>s~g~Bg#QiIv#d5^ict$4F72ZqeMeP`U1K$h(-
z-M+Vk%{IQ@p|WH=oKJy2pSFYXKa*}VwrbR-^VE&q+8P$a>yhb0;taa@3$K{(94!tH-H|#C)+UYcJ
zRByAf2)ll4#ar_}G~TX0!*rxs*L^g_A4AK00iM{qtz?=TdYfGv*IM5%>5LIB&2FsQ
z%j-(d`op6C-5d+3Kubzgpa_kjztsVddSMVx$l?8sY*zXp*!bsI16x_)s!=%e2}jx4
zH0R%SJTd#S*9T%JL(S2AMN_D|Zb?12TQOo>JBm0_-n7o`h9@pw_t`nvU#h_kW)Kk(
zCTz>brfk=5Y(x|sJAqehcm5lCPGo`RpgU+A#B@01W#jQMm8q*QIMM8Y$jb6#1c?+V)-l8XtwJ7CJsf
z&>bfoI%ccRm2AXBfsqO9w6Xz|bPp
zaW9OoGhe7K?rtyh-J6Ip#(&{zr5RA4wDGaTV$F~YAtx|E^etKIvc-{{?EGZJ!wx3`
z*7~TZ?k38AGl8HhL*P;Smr%>j&zKm^Yor~<*1|QoPqHba8Rm5u+=`{GyM
z@*p58HX}IM1ls@;J3kq2N4>H
zUK=`dZLUrGRHxshM8#B82qLHi0~I|N2>|);S{1!GwqlFCEV#kJ--B_HGVrLtWHJiC
zJi+P2Jl$Lt5&HSb9XWdoWgWDR^M=KAZ3ZzcV34^GaA=+U;V0XzbEgGVcw2?F4!pW*
zATNm9z+D0ur(dgiR}8~%zN#4&>$FWeW`Ri-RrjBoG4}fLji-oOG|LE<9~XW
z#FXK|f;+lb9yhp@8}|!WJ=?}+zO3)4Wz1r_DT7!f@|G-eW?wY;ZjbgQ?g!sN8gX{66qk!yD&mceDvXfoUndNOMBt8
zCn{#NduZ+BrmX%6eph#Qsr}L;#!#dY?!5t9ZvxjD=kWsl{g2`}3zqu7v{5vquR2nq
z_7SS@UQWdDhhDSJA3;3Oa1r&%q~Y+g;Cb7fJKsM3d0u>KyhZ2rFGH=O58(87M32#^
z-M`{N3V@k~MOz5Lo!tO7PedSO)Ev%wn4Tuypmswzob&NnTzYWx#g{K%H3hMoi{T&f~Jb{i{@VsR0QC0%7BlE@{fh-H*q42#-IFRahTkFV`*tO
zRmH>TwCsc&6YX$9_RIESt9ilpe8qMbND+hxC9pnXCs)^{v>@t49&Sen_?HVdMEt%W
z=THUmqqciurJa>VDKufXSIn2|!X6SSQf_q?>um+uC=|YDVl7!Zu(aIuwI1E&a}+q~
zG3P()m!!k{P$snO7@FQvrrz~Y1awLI@}}*@fo*h`1rQXB?CjWOnZTEx_o+uY$j1y=
z_SO4aA7Cn0{9H^JM~P}HQ?90R-OTCyRjr=UlJ?9zpifF6$fSDqIaAZ|fNgqF5w^U%
zyxZ||+#b%wF3wR{^HJDuX-D~8ZZ6u8@Zr-%W66cV{S
zoSwcgm&fYs6~dmbEhnyi+DOhSs4uI+kS$*BbH3`+rP1`A$a94&we{mi+`Rn!y<9~v
zbp5k+jq*#HNhgDtG!U4VmuJQ12d35Q%aV(vBs?W6ov-JE99j8uzPebyrJ?{cAN_5O
zr3TBnXP*V1)%X6n7sM>!66xu5LZ`d!(C961B!mX6jNeGMVn$sZxk5GpMDTZ8Zw!C@
z$i7sYmnWt++R^R%;HF9+J;2)lGVTUdz7Ne`e(yma4xqzsJ#QdrFqvWknkluQ!~1F+
z%(5BD*q2nu?AXG_rYq9t)cC3Ua%_#=0#ei7D_aAgfqeV+?SYn-)~90};U7;vVFK=~
zt;O9AIGCiWPE%pLZo45Uu@pn8b-`fjCf>CVHyL!zR0T6GlGIcN?S!t1hU<1lU2Pf4J9}`A@
zDS$BoM%tyjEo3n46dkE-rd81-;bkRtvA-e1GIC_MAB#@a{ExK}F6t{*N~TAIhX>R7
zy{rI1A&NK~#gEVKJw=e9R8++1uj!iXOzfSBC#@yS7*|z7N#Tha(H+HA=4p*Cv0lUD9buZn025tEYtokfwEsv5m2mi
zAkL6OLvnq6ot>N8-_~=90u>nvn#Gr+q?e8sxr8GB_X*;iUD;ClBZ@i`pO%H=+fOcHa6OIU1tIo
z77PotE74h4Soj>iqONajTwN+^c{=o1W{1?<^F0OIVK@WT6cBV8$43|H0y!UJ_Bo&c
zl%6i+aK-7Q9`ig|cWFuc@KFxq&W)E7t|e4}aRjuI;Vr+qlj24w|HMU^6fF#ceG>;5O(3n5YaKTDV2U&7GBCFACb;>A!Y
zg?U41nkQb3-$0V?t}fVHTpBOzJgCD5XAHkQBhZ51IWqbySKnF-Q2P%Be8Ixgsin;T
zLCN7$WMhCj1TZa+D~!--cNZt|DBVf{B1Ddku+3-bnuR~N%7>H$NnF?^;rj
z?5bgyk2E9GyTqi!r=3m&w+ylJY)m}v-Zcg=5x^baTQhuIgfar&)?RlHsy;8QCr0(N
zMG(Kbyt&<4suCuA?vaQNDYWlKZn%W~j2f{BswW|^nDzXJK(?t~8F59RF(@0aSw
zj!UXDvE@fMk$a>dTJT*0@O8i>0i%|P)ksku6s~1C%o>%1n5BK}<;heM;4Nkn;_N2O
zNwu&nhTYR#S_t*doIn1wH}eVxjdF^7H|vz4t7p6-oj{9@03s%SHI;&7poKPR*f&O}
zdo{L-w|Eh6LW^+nP5%csO$?aRTPxs-ng^-2mWL1o66@G(Q-|8Ew+X#G0f08
z#^UleKLE<pCm6txMnIGbsz#lOAIdM%VW?W4J$ZqHk~OW@^ha(LnZL~g+G|0)@A
zM3*vUjB_0T-S27BSt4s;02@w@-`LZ%WJ9^8($1-cG+SAUXn<3JQUw10@?=F$3;&W1&1Y(4f9K5sji|?VYa$miNn$
z8$47Pwrz^U3y0ojjxO^iF=u>$iKq3U)YF-I@R$G7dcpu!J8JLCAR4Ko-=#paREfA-
z=6|TC7E+(MQIhrk=7?;cM-+YQ){`e+%UZWSMDpDeRsVw&_+k8&Mvt5cn)!w!MSQ;7
z`6MwftPH4u>Ohqjs;i}`>s`*o*}y7@u6v)+{l4-)(`O**N`dQpN5qv*=613SKxqTc
zl9E?12U^RGDz&8yK})3tm}V7j8Mw6Syz}Hj8PlZRVESJgp6(uEaXV1lVz$~SQ1#jk
zeUZrQh(lW3q*~>otO|tG`n^!hV&-Q4t-XUju^?+LE7iY5gHg(Jy@ey0A_4(n3|_xC
z(m^BGATUS~&dD6k{ffuXNGc@XK
zEJ;?1mppjqsqXu?tOjg$wfW9XUq0;VZLt_Z#XLu
zcHQNAwXVvm$fr7f7ppxQ(OXsBRR!Bhqek3ZsS6=)=<{zhzF}UIp%sxy-
zkHqeII~0&Kd%_UbD?S!~fVE3ijn7wEj=lTXsrl7`Ui#$}UaH!POF_Y^CG5=Rat;7S
z{74KHIsK7dwUHiXp4*}soA*x(Q76asoz{)Ag$Sz3qn0WQx8!hf*6yMYj1H4vjEHNY
zh@X-8`N;mpTk17ACPwth&4uwKNE|}5V_~Lx6pzvSWY9Njj7?cYN-D{(M=bN?h>U_e
z=+14~C~JqUI{syLW&yp2x*RvUGTaI(NdOh|Hv|aBllsQ?v{sl-vEBf}H_qe(w_mWd
zb`P)Y=*Yf4`}
z{D{f-*=Owv4}fQ8Q865SA)4${7;mcw#GA00BbC+1pGpN%DF6dscuR5bot>E%KK4&V
zs=qhcC)ZSEltPI*4~Rb{|AwMKRnfGcN8*NEdu%=_T)sW+e695lKQ~MGFs|M|J{Y+K
z{aBbc(W$^b_6Afsr^e#MSLRQUrK11^VRUlH@u~YORB5ApFD2TKZQ_8?NW(N2+-bA7
zR}4}rw!1h{#NzC}EIrgp8|ezI=l&}c#dLGGzZ6XtEd-Sn91=)Fv(}aGwItom3p7Je
z2Dyv(Ihd0SqG5yzo8CPKef@uRYDhjdV9qlZQq%@@o^MR}vMNWMKlrpaa4FwV3$DwO
z!3~WLWiOZ3>)6}g30Rj^0pMMr)Pgb!sv)RY4yKe)Z6Tt64@53*QuXa>P?JA?S?-S1
z-|V9B1KQ4%MObNdCiRqsEGgW#UVjB2YE}1@-2}r;(a#}+X}C@*Ek%#b3K%=QJjhEu
zyxgneF7;UR_hiI?f21cSY-K)$Gav&E`?5R>UzTTGwC&m=Y8^`%&gL4*j1Txgrw)C3
zpU=ABULVm_^;+O+htLh}=mQ`r2hoXhu>kYd2za{1Nne?v
zc7!L}c2@Ye&?w+Q{g&KFsvyv0X?=IwJhyuVU=K~*?bq~ZU{wlWr4X7v_o&JY141Za(ZCLoF)jlo7xAV>@VBm>!j-X=?_
zJ_06|kYKY+JX})J$Q4hfEOWHe?N<;^plHk(e!nzc%+?MD!BZ`*n1In`6iN7#Zxv~;
zx8mX|tEPpQd`z!h!or0}vybwKL7e-UnuR}^m>jMYPg9xmAJ4nom^(X_UzbuVa`m8tp58w%(
z^3pLWHFw5K%+ojsN7YWzGzV3;@9pKP!d@_qH2|m$S25Q7UX>o^_0hZC&(Pcsvt&FA
zYO$T0Hmg3v{OF~3`H0+fU1~P1nxC@%KSESGBW7AgnE;NmXhidhcBeld+z!oMzkS~5
zg%C-z)%nP=m2>(7TbcP8nIi(IV&)ec!xBndu+U<;bWD(Qo_|c_-q)h&x@8
z-z1vhbaLh1bY(tqewc>3=51+wP$p-Q)MHs(L93ay{xg6W#FDPupEqgpU5{ViM8qYy
z7;1@v^Qvp(;|)6)#S@R~&m};bI@)K+-y42gne(Hr
ztfFnxKy9)YlH!TKLbDmb&({|3K5xAcf0LF#tbmPNx?>JwNz)7{Je<2Z#JF#c~2^5quR(J4WvUpbhLRY3%JO0!B>1nsm}
zs9*Xe2bHMDno!E~HBaTANqx7M#tKJk98Fm~Q(}1pRo^gtKAtYPr_&0?#BhW2AAgDi
zmV%4hd`)GsDg#iJh;xLh&xEGtv3(?|KIwc~@FUk`@JN9?rS*;m+DXQ&q><}x>zN{y
zo@+vFUp})B!Q%E>tu5_-MUcl7y?*5abo|WYcsgm!esw-DIJj-kgHdJ(?HIp@cfSn{
z-wO#tk`WfUfLOsX18!KgQR3L5HpfV1(u$@;yJFuXrAyL{y
zn``IkG1J*m_Nu}iuXDRq)N?lzWPP_oBDagNb;-gFqbHq;5eJJJTh~5j1;F&;uxM(l
zP-q%Vu+ZQ33DU(=uIqmT5L|P%SwjZvoP{>sJsO5~xMdFcm!z0EjP_Fts?Tz=0!o7;
zekVR|x+d-(-vRf~D-Xdqlt;J1rijWfWq2|KITsg^(`j?=7!P7qdly>Vb^`0hqsVcT
zcS$PaYRU%PRDu?}=hmZrA`kA_G4Ap$ZN)XHX9Z}^UT_98F8`U>SMICfG(PYgAxrOX
zt*a^6ySg&VrNirIqa7#ePOM115y0F?^m;%7{^CyL;Q$ji1!?3WSi(+EDj$-LG@0j4
zMF_f%ErRjNSaK)wRFn0peh4XCuhKF>BGAPKy{%mWB!uBlPXfUhJ;lQkslEp6%-PBw
z+^g|4nVkg9bwlTc!uU94EDRq3u9tnI*;+_POKXNXf!9}=xoQR@AMKf0;-q+avEO~c
z#N;$z^w!yJ4t|d>&RjDKLWB1S>#Xd)z*l$PaE5`dW(j4Molq|SVfem+&+{C@#%1DH
zB580+)C@~|p8aGC^WFr(s-U$BulM?%)UGBtyP!MmUFLj7hs7dY=Nfm%(K1RmHfj9n
zh@n^a~Y5nxfzdVc^C)cbqd2p%XA<_y_vNXY}q5v;GWbXiyoc6w?pm(EfX297^
zQH5c%uS9tGcHb4+&MZ80;MiX?bN`EhxPw$HjRrf+qwUX5I4QR&Yd7V}fj`!69zE>N
z0raUKkkfNJz#=6Wr?IQ7^}&*4P_g
zkAdCa7&F&cEbmROsyLg)rd;dNNcCp9>+iY!6*pz8=0&lO9T$Kiihaf^+ffn%7t5$943n#`eQ;JH9nH
zuLKGYo%PbyUbVh^%;i0t=(>CFm}kl-B2xC3B6b@1Ov4J0=X(_OyF<%~Ox#B;F3Gdr
z^KWTEH>L5LfLQ&^!0Mq9@1V~}*f!%j_iD%I;@43ZZ_}HtW!zzOqER`_pwHpzaQQp_Eg`cUz(_C^
zYAVe`rD-mr9@y|C!-0QlHH=pJTG76wT2^QHklp0c<_bAF#vD+`hH$P#3@>-Pm?jUd
zGL{?0W(b_9S3mV^({!)tun}j+`>>vkA~81)T}_RE<_40l6EJJw{KiHa{ZGhUI+NLG
zkt3WVA%fyoD0;lA4Hi+T?;NeoXMrXQJX3kjwv54p)ZV>R?bXin#E)Es=VgoMlV0+1yk1>whZM@Hls
zLZGaXGojmq@C4|{l&xjFOn+P?!vP6Klbd--nkz|O#g7{s8;?#`MI%j9y@*-kEcNvF
zTdv{Epa0rX^rS>Zexjq3RK$Qk%o)3-E=P+DoIZ%HHMrBpI8DRi@J5y_nd}(dDdPF9
zI3WbVZ_V%Hc*r(4`@&R^wckAghIYCijvb9|^p*w{9y5rcacV
zd=Vq#*Rd6-K`XxabYsHw}9IVN;D>%loDW80@HCX}Myl;YyzDmMO!Ss^5PZirAU
zF)i;NA#8odGkXLrdn92k6TgrzRlp7tBry?QR4&_iy6!|U7c=sd&HVAOA?DBk@e)UC
zNSs`vNfmrsp<>eX%sZGpOH*VXjM{1Azt
zUdl`h_aTnaP`#z6M651Ps(ygNu3|Fdw)D!();9HfE#x{*)Y#vGx}4#{3uNT#oI?{O4z^{uA;OuwV>thAy+ImZ_=KM-@obT#xy57dm)^AZuPr{OZ@6OxT7E;o
zv^mOeKFQZ=4!mX*@+or5ck*BK^;2gsy)>x(AdM*|<%0kPU@BzNk2&Np40-g_vdA!d
z)zg7DV>R30-n%M9jnmuP8zrJBQK30$1yQ%TMyMz_Ww>&?OZ9J1^pzaeU2?0v%FLG|
z;MbrOGWLB9+={3aDY$$0v47W@SB4KF$l}8UQa=Lua!Kxwx
z-IN>#lrzXE6y_6!Q^IFJDCFS&ct&YD`;w*3y?VMkU)ZRs5{jkc2>2EAR~Vhaur6oD
zfMSGxI3lPBH7kjhABTs1L1uA?JkkEaW^e03OTV#)fy?nU_5=}HqIoOBoobfcKk;0k
zbC)kAb0!wAruv8gn;=~%4iFLNk;|ZirVb8Dm$6EOG{S7DAraJdbq(-1s!PuXQM
z7svyEzJuhM-91j#kv2^UsWg>VfYr2?rL@{FFO3B*t?Ep0F)I=b*p~qx_s04*
zYEX8fB&*_P#)dX}Jzd5JBHQMQ0fzy_iYUm%2EkIide@yU(DcEA+cnp$t*tNX+YT_$
zC-ul-Xj9k9!@zj0201RknPk&HIsCzjfM~)3aFJ+vz{DHo6y*&Bszs62Rw&ts{OR{m
z#M7^4Y^Mvkh6(cUUDKp|yYV9J0@lIE5|E&COGXb(24rc%TiPiX*n%$G(;wr2XNHtEq>141*O;KWo*EmB1_9*p=WNqn4}!vX+yCBl1r%O{$2v
z@)C}YL-s+d(m=J>*hR7})mHCSKac7@S+$kcD*$bNz{}!Xu+eB4r$02=yzSFz
zO3gD+0d}C7)dRY?z8{^&HjvvdrS&Pc5M@BvmWlfCA=4*|!43waRXvM3kgNB{K*ai8
z1rU)~bbw`f$E0^H>xJ%{kD5v!5*)Z~F9%Ak438WL0eAfPQEh}Bqza8q@8k6cpElCQ
zVeLWHKu6!QeDbY-pn4#bxzn}TY0@ASmcdP@oj83uuE-q*hziiS7@Y-g%5tJpBJ8S9
z+J{U<0F4kt+^wkI!`A-)>kM3pZ@@emeW1z1pA9x5I7EP`B3A{|%9ERc-H`{2qF-(R
z&Nd|iASyHhL`n+DZKSpvb>V;YEA?2s%$al_bV`uN2d1$X@)bTb@wLwpRdQkGL`sg3$NxOJb(A{P;OlYWV-0cZ
zY-AH6Nd?bs-Hp9(carwfws`mn;-#bfWifiJ%KBTv8N-O5njZv-o+1X}&~yc2QQ)Ue
zl^9+-KTf?M8`t;ok|B}ee#$P{)qoj4CmxTMon823$~c?C02A+tc_
zyP%V)moGbeTBoY$U2rI?kvGfy
z<@3X8JZ`dB0u>Cn?>XOlRkXS9u!#Y|-Y9b!y@ekZBi}$wpWYd4hVn>^+=wUh$scPN4=MRR`H7~GDF~>mXut5#UbkQB3QZ<`2go{DP%c>kW^b^=TY6$m
z5*=;r(8u&h?d%5Som|yD7YA-aDuX|No#pDR(fwzO16w{@FyjT42v>4W#pgTsSSXm#
zwajZV0b2pUKWE*XCMr2nj@Ce{B`_}??9`C#$+Uc^w~Ck9?QyYpJ-H4S`On6N_Lt2;
zP|(0RJR2A(uUZkX8z%fnh9c;x^4T1hQdXWf7`NvoqxL;@0VX1a5cU+z)-G%DIJ*-l
zUvb)YnUi3%R&pQ=7jM|J^pk`8QgYcOFyS}O5G!0>y(_dNG-VAesV~KhJX4dcimOWB
z)qWk!dWUob1eiwD$!3N{Bd$q3|2P&)+0Pr}0g2a_DUz5O%Uf5%`v+K1JDh?gO`?Jw
z1AAb*@o?6u0K|ugAHW%`a_#1f$QQxA4ky@42Ln({!qhVh(%?
z0rP;HWaiT9&Ce}U5+SpD@0Td@LU;Gz&nvi(%E+Hw5qmwbbh0q*qYuc)
z%5t!?zX%OQ2V|-LsQoc2qI8r&qDe0akmW0$+9_z2?FC0<%y?I%{9O9RFN#z;Ip;L_
z3{A%}v@|~r(`QUIAm1|7oka8+v`BDCuTFCU9_$Ku@Ee
zQQ0Z<-(yPdE+{+J*4a+kYYt)DUm;37+jedC8(O`FaJm~LDq(HS0*ICZ4IGx1oqgvg
z6WG1b>zJ%^Kb8S`5HsN8^RdXWB0R_(Dyr57tInqOs`$PDP1ShpZ5Illd2zD$;er)(
z*vU6OVz>llM8->V%w;eV%2xmM{c5qqVi{_``j)mcwb}CATFJ&(XSr;&>B*E
zhL)7yXr{L+?kG++2Cp^sG*(srCSi{_#mU7IS9IO|tyB!P;}$h3lt=)pMCIrw-~hV0
zAcH`4LMhKhVjVu@9F8%olL~I3H?UFwaxz-TZ+#oP3vEJ02;%kaNp3w>n{3Rj3$XROfU?G
zdjTW_a4qM#g`d4FDiFBXsohI&fLRh1v6I8rISW52uzo==3mJ0_*Vl6I-AbRnzr*wi
z1jJ|%AT8;8Y;nt$cYgI3ZuyF;Dx;|?>%00l@$lrG0kb||KFkKh?S%;{pA~*$UgOcG
zU~$Xk28h|v4t|)u;b_ZVic*EVYBW|*h1O6k1K8~lrn})eQ8^X_lI{(bsY_t+RB)o9
zVn%c;i|DmnMRLISy;8xz13~;bZ+%nsjer$r!}WuhL2!eoTst2(m*ezNaGUEVW@oX3
z+TZZ4*zuJ(Z>XRC)W2|E*Lcj0q5kEgj1#y=kzW(Cz}7
zs}_nTyai;whG~LZGe6|~tS!agr=~?7d?kU;5(lDGtI5_X>s7|9UyiKGEH`8qV3shw
z%LaX)M3?EC09?HD&$!S&1sfmwwWFVxX&-7ZA2#1W0GvCu
zMf7Y$)ZPXeHVQeOS6Q8JzkyjW*lozk{tnhxhTL@O^eepl9rBCe;0QL+nTU&q3o6Xl
zBi{~fpSHMSzm**C#C4KwVU^8c*`GJAw*XOm^QyQw7o~v?S>X&bL6W&G2gaPi=S9c{
zBkSoQwCAvz^fKJ0$MrABjTXfRnlFgXkwU!mGF#NV5b6MSIz)nw
zx$E8#z-R|q-|A#|3_80luW8PAgVr=}3^#xZ5bkwj3hW$;siU%E+!t_)ox&m
z8QMMS`^4mB%*T5=Ml~s0ymq_TbO=joS7vS^6xEi~+(BV7O-1}je<(#vf@=X}VASZp
zWwlI((Vn*3&UKve>egLIVG&$VUe$;HuUSR$J_Yycc^Y}Cf2
zLW9OLK=s;CD!JIjgihL6?Hkmlll^hK?g(uwz4F~!qsz#=ehYXuV7fw9s9Sd+WQ9_1
z^a{)Bp1+(R;-`+OwJKq9ctn#F{QXAurm|k?e;q2phpbu;V>P-A9&`drz|5S{I1`IS
zaH!#ayjf2S!hF=USmMzWx#a5Umq}Lf$tuL3Fms-J9`;FTd*BYs#gGWx?7SeHuaIVB
zb28w2zffAGXI043^ULC%8n1o2EoPzVnVI0K)P<(i;C^udb8^n@eM93|5_F$)e7xn@
z9FsPh;oTAA#!F*`N_3k4B`D^tB(q-EXPYaZ>&>ZfF`w2M<3?5<(5rzxvb#mEh-&I<
zv46r6F!~6!K<>pBAofXbX^A+nz4E&ZP*FfG4D^?D=13HMT8Fh1NMKN%`4()Ih{v!h
z{VbfxTd|0#`5~lDN{if<81kh5fhuoy#rx!1+($c)N%i7{@#5v9Zl(dg2>xoy>TeHI
zThWn)=lL)v#>*c#>`Ww6kOL0u^7$8jz3z!n!EIoDCi^
zN2Rv%mn2UtRbQwRSM~VXUJyz0o%PM0~YPv#THRNhXQ&ip=cy{iGqR_qe)AN
zNpW7H>ZU^rYqx3qr1b-K@(Tgr)#bFH3=o#c;)m+i{@OQX#}%KFczmEd#AtM~*=$=a
z-g;2?NrGoGkIocDLx6XL@MtEN7T^(b4Wfmye2w-lUZ8QuWs(sCej~R2d4^rBy)AVx
zykDyayW?6V*mx6Yp=qaZI{nJxHe^V6KQG`lFQ==gTNt{pu>jm2uAqpCsWx)pN!4-Xx6BT1=7!Qe9lfvI_c$(#{MCh$`%*d86eSU%p5@x;=
zn^R3-gGe$tda1BGaTdek!vykFl`7l~CShnT`+3gM;l#20s`JT{fIilRymkD7;{MH>
zOSRv!0zgP7!`dkLqV^4NXU5}dODzj=Sg=H_^i-0g{oeRIuONx6`gxO*%Yc@e&}U17
z3e+L;Jq=!N6KK;Ue@_K6u+LgGzhh4$;DVh7C??Sz9mj!pmsamA8czPOBnXo4`c+lX
zCFMG1@--_=9=>3IZp
zG`XjQ<-+cvwJR|!{>;)j2LkpDg2x-zU*xbp*>X1VB6tC!_)kOmepWmHYv?XB38HjA3qqpjpb4{bX@l
zZ1E8}zN5tihv`P{`UcjiWJFX132p*C5}%4|dz1HCC#D^HiQBlZr-%w44yCRt;w(Ax
z>Y>2^s96J{yW+zeAHVRt9Agy~U<+IoY6kk*utRNS7QO9CLwr^X2$F&O*FeyUqNP30
zl7=&z1-3K`&4nm#>UFEj)6sRT!T|zsS5p_X<^+-I!1lMd90$3tE$;VVQzi%)kN(GN
z&vKUw{jE(!gBca$?P)6MzAVU=9AKZI;n0qMG>BokSL>?(CQYr75_*05?YHR)IOf`HwSgJW%_#SB~HXT!%>n36+)*N)Kd&=DW?AP{13AB*p5LUZaQl=gOe2+$p8%z!YRbhE0vt?PN
zm!|zu?MR&P_>$`Gf~Cc7+Lq-!%VT}bt~^d4r3ISAXsmnfQiUX~}_A-)(Qb_bYSakzW?@cJI#bHmXGR=(HHNb)~zybKSq^M-%aOXOoC
z>bfNm;nJPo1FX!UT10<&cu8dzX+78y+b|gP<pa@k#g$72t;=4%S#UQ&lJd=HxeMe}`#)mDQ|?OB{nN_;Re`
z+{YIeXZ0iO%y>S2&wD7cdnhdKYqe$Dntd2VimUCJkyXS-R$7kDZn#S#1|rwSBkOcv
zcHgenYb4kIrFH|{EM=8j!idfVHZr&Py9w*=LXG0V?=mCpWyoUMLX2U0CRI8D4VL29
zo6df5p>|Q4>2!5EsqHkG$vpS8;J
zUiS@Hfk8D6YJ>U)4=Oo)l<3>jN`6vP&k-AlVszIBsd%Q5Z^}Q@x(qOYd=JXCd*E#%
zKo83^H)KxF_?SE2B>ajwRgoY`zRPrOIN0{=gpgajC95O9j~S6P>jj-Gw1~!y;{ND)
z%hsOf8(ektmQCfM5z(|rno2uz6JH|WKLkna7je)eGj7Vo>(YG
zZViPun!T-Y>k>`{HXH@*=A-LBxj1%hm9**@_)WD|XGz3(97TtGALJEv;z5|d(|wXP
zeZ9N~A3S?BpTZhQB|@S+2IP$ahy!++>%vPwA~P5WZWV<$7UJKSMS_i5c85iE9eb0gv~~wZ
zq=mYG2fhMZ``K4nVK8bbqx+KwC(49bYunyU@#m*W2+yRM^P52)$Z=R6Bg4>o5X)dC
z--kK0`^)p)qzDX^z+cz)D0re%nOvq+sN?Sf`$cV~tW~71;3-gpZ-!XSRt^0(IRNXM
za7Z`5-L&7P<@BpP=g@t3je=a$5dQFgMbyyCF|{LnE;16qPX3$eWYQ!%wO!oTyj2x@{4{wy5&|;d866uOzhLEB((qqDA5M(shhdA_eu@q0eAg8
zT$$H6?hx@264q|+@)0&QDGff~5p8-s;bblj!}H$nq$q2k>&=Sw>P!5d*q%1;xYI;8
z)u&kshAi0gYsF?PDFAHei`8R=WO7U~E*3sQGV9gTqkh5f#h=)+x^=*yL~ECs8;r}%
zV#K$p%X8>57DILVb<0ec0;lK8P~;F95}a_N)Dm<|#L1_MZLzASav~S700qMRW4d%0
zh$(N+H@GprCJr|sgi5S
z7Y^;eI#wZxz8|lpy9p&`YS!|4V{T|un+h>54O!6jnx3LPlE82|>bEn>O0Yo(QZv}H
zl57q)0eS|Ibui#DqpKnhLea{QPhNf^h=+fmfQB#A~-s%_C4u;+=Hz@dE5U1
zcs+;F{RA4ox(4`!+@pXEFj%?w+G_QSa!d^s*;DKDCZn>PnZdJ}+jKIO
zB^E6-V{lL7wSExk26u{+9TXig8bdt44W!SSQlu)vK-hhEhZ}M_GRxx2@H#&f
zC%~?{^`0CU2=h;#nPmlBy`c$u4^P`Xvpnd%r2!1u#|WGE$?z8!eCazy$FML!2t4iV
zl&@+G{>-^BnvUS17GIyBe%8ypB)(x@xLG|VY2<+Wd2DO|7}gZ|4Npi9p29)9R`l2@
zs7CQy9}8zk2Ak0u)uH)l>Udzj-_L`(%-Grui!L@*XfiU*?IJmc(p;W@SUb0^qYw@37UWhsV8QyZck6j+4j4tbG4mzzt
zBGP@WE*`Qx&P%yJzc>B)d6m8%Y6m{;BoH`)*UE#u0j>h2GsL0{WKA)PxSO8}l+2l{
zXa+ox;C^_SKGIZ8a&%qp^NQ3s>AKv~mkt)AqrhG|=!FO4JTaN{6Uxuf0u+E2I(!+7
zT^U$)0pWJA*N&CneeCts8%HP|Qi#EpZm`#%7T8)JSupNv1tLE{U}wfa0xGwdl~#1q
zJyBZdl~mALn^^LlopD4Sqxdb2)KmxVh2yO^{QnnW=N->=-~Rn?q=96MP}!U86=fvZ
zD|=;R&yp>b5rvGeO?FnYvz6>k_ACim*)#6rqw_ki^SXZb@4o*!OONy6o
zo=0~9r?bhB&J_SN3|D6g&Q=AppN+sg(C4RLJGSYC7l>5#!b=Y0mO6Y4&aIbUn>k$o
zDF8f&+vs2>ZyN{9+s3X8}wmPN#3a@d6q2d4US2&5Q@MHucwRDDbjhge|%5
zFwu-INuu@n$;W=)?Ex7gbm*YozvPTjtPlF#~z%4Pygu*
z43B)S8|{rF9eyc>pf?C{yZlf<(<3Mqc+-KBmipN?KNT1=Bgg?xp1qJlU1?0)>;oqdowbp?NgPm~#YKYDig%*KnY^c+;f
z;zGeMF%Mn@{*VDE%xzNf?}q1mVVW>qAAAF#Swd`M_jI3z8fu2-^EJxhl_8cK@+qu-
zj*U4{0s@3*LuvumHpFT0m&u`t{Ztj3F=T=8?AJ3=F3^iWv;ulVedZmoaie50o}=Iw
z4wl{?b^Ypeam_8csJmw2UIBQ2=$3Ij-3g@|l{ObSiUg`EE`++ir4-=-Y4@1ft
z^-Odyz>@o-tUY$6-q7k%Ax;&8OXc`IU5w~NcE6jVHy@6Evqf`MeTub}l9DruA-zp2
zEb;T3%V)4&;Mn8MfFV&(BtegU0+RL`&_=RgrEw*=U>U4Dm6hUUg!jFKsfaD(`wBy+
z;lI02WaaVq|rO}=1do)8pB~vvcqF?rCk07wq`|K2h+^~+?OZ^LLRz*+~
zkQ`@D_xb*g$VcN=F~@JOPK6=>uki|J)RW9i2G6Zr!$v?{B~17cu!k9gq4MXsCQ>pq
zjDXJ@G>C-|ndTQ14Az&uPpn_3fN>FEcYU*$P7D*8%UrmU`{|^Y=?g4;IW+
zy#f>p!bjT(9>kgI-CI2!EpyH9QaB9uXncasDrZ
zJHb@gAGd~DZC8nuD3jVN>DAFF*^en6T-!tmH--WU{HXAQN=jcSZ8;6k?fa+
z?#2D)`+tjvz>C?C^NBvc-%L|k&nTd|wcJZeD)?h^64-`P|4f{#M+MF_5JOm%_+0My
zn2Fma=y|U7U4$Qrk3rB0`ZfIC4r%?K2SNB4Fh1=aot3d3ItRh_{SPg>*yh(U3S~95
z#D1)suTW>V`<+bU7?M2KWuG?~>jCRw!~n1NWuDxpqQ;l}J-9gCwPJzIIv&?A#ZaJI
z34e86AVHijTV_ep1uCGhp~SAna_L&7qtQu?+EaXn#!}!}OC;+`9lLV7ru!L`iKu35
z`$kZZK-6-O7BX0(^tC)cOng2FR|_N1f&myMD`&1866ub`JJTy^gT<6`m0SUL?aKMi
zNmUlPwR$e<$fy*@s0Y&il9ape#Auv8J=jxo+ThRJdyuL$2XDu!+HWwcfj^U9Sw=}x13i4OT_O>03#PjJc
z^V`$|`+|#~-#;tK9UDyZoOo2iye1CY|AK6g-jijG0=#LA?^FH8r1%
z_G`94AcA%&$oZ__3Empj_w#%wLmU@kM>2Vu)JX8hxy`kUdyqi$j=^j4z0|i2+%5~D
zxbYjs&@qsFjo-^QpLt$8{A-Dv@&(_?*IZqC=Vsb+GCFU{`n|RLHk;JzIyU=1Gis)}
zr*#kGD2K(#!%lt(ya3ulf_eb1IBd?V9QKR|=X*N+
z0?bqJ+E4{S
zqGA?L18ZuORN(Fpq2LSc;5y1OTxpJIKH#EGq(G05oL?O)qPQ}l9gMyD?GtwyoE$S!
zI616SZUC@Bcf|fEpg`9@HV_Q%t~m(8efN^d3rr?!cT*Wi=wBp1VM?{bhpk1Z{sE3(vgfeMn`@eW^MMKO(
zNVWL&acxkO!@D_uPf&dO9^VK^#Vwka>^YD;d~s&L
zRAgv>dV_7%s;E`l6fWsR{(G-8M*lIaGq3(uRG5m7I8;uCoYd?+emG?BAFmqV;^Myf
z@ZplCp%M~a|Ij!n_xH3V4hLCmk@$YpqH|z0}uTI^2
zCF1ghV}GllKIP4adc1PlV*9b$s>d?7uY?9NX(H!Jbv54b64%s5pwkOu9VkG68P781m3OF
znMd$xkZ~^d1Qxe&FaEz3TE(Ip&#oL^9g}-Q(#FO9Qs&WVlQVg-I%FIsqNy`e20t4<
zMt9Suf^`{t3EQqJlLCxA=DlfWLCXnUrVmS=`qyaM7?7snk+{8XfRF1+Co&7a2n;xD
zhNsu5dM(K&cq%gA5${Yrq^GuCl!m#|Edu*i8!e5%(B+&)zDF6%+CxTHNedW67Mt54
z@9$JmKvZ>QwZv6}P0t|nZ+D*T$q>;I)|N&){?pyroAmv^+?{1sguQu?Xn{!d4&PN$
z0`#lfyubjusFW-i8Y8w<+B>6+bUS~2UFHj(+=?}Zk&qoScbeUFfCw7?P-ayXDvo~O
z5Q6|@x-F2@90oO7`nyys(8w<=EjtYpvFp_R%1cg0UKtN$Nz7sRSh_J|vAmuJ#ooW_
z0LGlwvOH#gKwHt4u@aG(65Wb5@fUK66pE;7M#E@s!;?-{;%^b%;hvI|ta`)eT`8@y
zOCUB$2AU72!9sxW@@>`E?f#)Q1s`pP@@}PAJK7f@mRg)kXkefKojOtz97NOs7tr+P
zd7h3VrmhM6yR;)Cpj+hdx4f1YckVN3IqgsexY?pK{N(njL27nA9%_L31mlu+1`}QV
z^FSwjZ=HBiBY1p^Rg<|W^3oUa5vx|KjPY+L7Sv|8Q~7GIuiKqJI%G^`hKK>~tiZAl
z@0Y;rMFf7c)n!as9?=?(%PYew!53|E{hKR(l>;K=h$z0a=?~AeXt(Xz5K)~
zrnoGq5f=w<;<^3n4cb6e+oIpx#60)|ozkUG(?L#OJ$dCOWCS`@hx65fJO1Q+8CX#E
z<@3?E|9m=W950;bBlLR`&H4|s++Exgvm87e4eBPi-AQ{1`Z>k-jTruI)_-EB=(Wtj
z{C*}R5$yhhR>Xp&2ILGdS<_o<;~wMA`@%q@qlipTMwC@tM~e2ttc)ZZ`&b+T(LgRc
zmkj`h#-*kxmJ*GCG3Dd}ijB>AU?8ih^voubPl(dt2pfr$W^D
zTSn%G7~zLYD$gklOtQTT4=iF&CBO7)UYU#>ec`1H0?+X7zkbeSbg{g9ran=`+Hr9p
zmu%qn!uwW`3W0}(zBCr>k#=plJxhomq}J=;*Iu^|^+oYRhq7o%?O*NNr}Q{{-b)=;
zUo_N>h?UM)E{yRlIBu3r*a#>bocpMGxGa=4cEUaT57mg@8@Q#5vn3GLGPL!9GC!u6F+?P=Si(XD55zlAC+j
zyu|hjYP{;gw-!I#z^$
zec*cgsMF5NV+B?fI=;`9QWiw&o*(;Wjkod2*!k;mmb*c+}kJT?>*DcE4zx_{kdu->N6
zr`D06Fs5)xhp(7C@)TUZGZsTkN2^z=xc26YOIcWpo_7vRLfSLR{n+51;fU#8zK|&>
z-1c@4-h2TYC}R5n?r9s>wbM^?eAimOJx*Dn#Qu8ITEM{7S#V)EE*t~IDgl=T?y&8}1Jc=5qh--C}=LG(FaBD8>~px@xO=
zFVl^WwR`Az=6iMb!H^v76G->hs$!aRP;>n&0{<<%4^hGHAVP4l9
zASNHV&iMynX$FjtkOL=ruKN7?f`Zk1#APgHHQdhify<*8!eoT~NcnCIqy-PdJ>@!0F;w*YHb~Pwf03
z_O3!cHFu3@;y2AcdpGkc)30LYYP${Yi|!JIul963G!SdOrwoWt5bZ!?RFr=l)&@of5Ett2Bj2Y}_a1GA2HOiZ^_~0J*T2^6)r_?Dj&m
zSWT}kuVrw0F*9>vqW<{0vguX*y^bap9lv|nZU~2}uCn^no`=e$W3gHyyAhZaGlj%RGFpK2t<{-hAVqOt7k=B7DR>SXF2P%yY^WFg7`X
zDdwKK`t#0s0j0f!X5fne6K>AZtOxhz87|Gw*OU@uvgcqtHPfWwYqrrpG{((;x{}(fl7(Ypv%3>jKY#rePw=zD;2(KP
zcS-`~kHw^V_#xGF<>^r$Ji3dYhAGHGjR3~ZmP(t)v4Q~##ApxDPy83igk6x0HR)Wt
zAabzH+BzSXNr4=T>Me`Q*ZW*&y!<;FI52aA^x#XehU3_4&yI_5k`IT<$e$Ho7I^pR
z;!*oMwmd7BKbeZ<8TE;d7L%rjM2zmugttcOUH_=1KEHb;R+7is0G%8m$t)3r^@~6`(k#k!z3$`#+(eOEq0)>lm77579Zra{0Tp=S
zmKd+V?tAC_i(=h05(d|P90^KO5-mrq#hTib0zNQ<0EF(b=cFEe{^7H4oN-Z6v&@~1VZj0fZ^>lOJr-~Y0j(xPEnyqxIq
zET~B%350lJyihe%`mJR_c88o1W>ox3DG&2IJjma$o=9uP)4P;Z)6tobfIBGTspa|8
zslrdM&lE`>oxlmE^I4XiX$d^H<_f;j4h;gf-C_EU09;(*wRRr*=eG@z<}5vq&gBL$
z?Zm-$lQvcuU42?G21OaJ+D#tzn0umv4kEMzkZuAv^?$Pke@M-(%e=Oa~0NHK>oTNM!o&7WPkN`mnAx~g0
z9l~h7c3j+!QF($#10Yq!l3sBue|zf$TOxn#u{mggXTd2kETzStd|3yXc^+?$FQj)L
zFLWUIgCA7Yk3oZLFGm%Z6HHdZ-^B*@o_3_1$Vd}^0uC9LAU%gsv(F{F=LBw1-r@ddo>Fn9gtYuoxrm*kc2@t3?Kf|;^9gApFR&(qg+cXW1@gk)Xos;{F8==6Fp6mzQDmgij_o6fI&Y{pMT>Qlo2te6E>O509
zo5k(mJ5|$Jc%X>8c`?iJP2GQ1AeWLh4&(ZsLeet8NAEDq{kT_Og||-GuK(w^lC!Re
zz%IyYEs=|M^qb2k^$XU6+wBV=JcAY_me(;*cj)b8ZX1@r02>8T*mGBS`~c-_PPJM<
zBo4Ao0Ab@i?v{^ey(x0Y3h3ab9#)GQ%JS}866HdnrER-RUVbB9p=8b~-{mWMcWbbI?g
z!<>u|u*iH`81GyAzO%VYJ;M1tqvEPxhNZcmA;JXHK^Uz5WyJvax4n{2_CVu1srK2j
zQNj;PBk{+4W~8x_zU|b>69Sh(!M00z4b}qPz)F@oaC%F){;_9}5BOzgGd&q6F+)w?
zGyss!B0mb)^k#YoshPrI4TEgQ7gajQJhtCtSH^tQj!U4#m3U3ZRCIa(Kg>vCIv>B8
zK~9WUvk29otABsGucz~_loac*DULZ;CZ}7i1!xv>HTTy(
z1El-*CUdh*(Q_CJ3XTiy=<&#*%AvB{bgQCim~+%C!*~T)y=%KU5^iQrJ55K0OuQTU
z4{!R#et07{wDO8L*%E5&^cR9w>q7bx{SMtMC-ptbI_Z6eTKcLz#1)H#D1Q@6|WJIqzk3?d1Ymx{5WO~nf&Klzp{aO%1d_6i$6+<9mpK!B0MZ0}Yu9drs`R&kvugab4j_rvQ%R#%}qHm#hgP
zOcKihfc$vnZDS72gKrzFQ#!Bwoh}~zc(5F(r#j*SM{C^MR)L1gd4vS9MT_jZfd9BJ
zpnyA4^Gx$M5&kY|J~rGCY4W&?kClB-wK0ojE3t-8fvZn#J?1Z;M&ef5R)SC02xAfP
zlyRw>KByIpqZre`cI4awYF!Na#(|Iso>?{=2c{=A%o#P}>W
z?897Tq=?=0@Ng+(187PcvLfnLHr#d-I*29s(_HKxLpM;`084eU>n4xgdB%FxKFFs=
z|5o!?C(h(zl!eX3snE?2W5wwl?gVQJ9WwsCy8G~kxF^U5&!^OTp-Mk+PHY9OZo
z8gTC*-_z|4Um?~3@MwY~r~$aQOIo@?G@9oA({kaFG1B+Au7|Qsuz!s1iY%7$42flH
zo{Q6#cuHf^73+k=>^=pYk1@VR@=CHAyFfosL*SNja|B8J$9eVdrk@R|Bj{}9qWT~U
zD6C6Ze_cmzbX;V3F}u|0a2INIw+#sggSo`Z+QS=H2IQ;1@C3n(5YDo*oe1Zt;SZJP
z;5D=`(DY|z!6B-0&5RH&T>EUAJL~Dcoi+Mhz5<$B09I7KK=cV_H5E(PZP-+S7C$0S
zo~~b-7t`0m^SK1eOKE6YR$o-A8xMUe#>ciHNIYKVbwRAU=1gPo_{0c<986fkf?!h_
z0sA>5hgxy#N{?H0hi!QOlb1q=km3N|bjAV1C{KbOk@vverozeyQR
z7a8t6P{@rC%lgTnxcMq&%SMz5P)eP9H{ddt`pem55+yLZ@i7xXa|zq!qwLYbCE}1~
z)gVm5ldH7r1!dmSA>e^;cPTi)%s(pby^Ub{w-;$O$OZ!0Qwbn*
zf+Ya}MzX{fI(8I~KB%2j;qE64)FX^MzjhC6IEQAay0-bd
z8&Jwi6xAaV=c(d1y2_ffjULoo>;#*N-eUYCL5Cc@%3?ELeP8yol0^&u9~q`)ay|r`
z3VSEAMYxj*vqu{DC9e82j=Ha1DY!tV5g1K8?AQ#SosaHT>f;i&hoj0r9qZq3`4%|3qd@nr(SN`Lq{oaYo`grm^i&!Q2My{0V}o
z@UNvsvT&Cnwts-Jpxp{hm<;OX)KNj;Uvc{uC`W2i+;h8ns`w25P0z=T{u)WR`Al{4
zXUt$yZAw5k_%Q}AfTp3OL+BWnqqM9e@h!s`hN$G&@5U8P8)4^r
z{Fe*oa?RV!qZIy4&^py$#H~&&UpMLxvcs#Bl)vz>=*vO4CWvy+1CDZn>3R0(LXSyI1+
za@&m(kYCYdT5x6KBDKYAW7k)=#*9_kO!Ia^E}-tdpaaCth15-vu&R
z!RriHtuxGG?eeDpn)=WH7pB6Wq<@QXP>ptnK_z^T<=SaLecp`AX+uqSp17f30W@4z
z_@3^G8+r}=QgS)-fD>rMa)~4!-gAey$1MQSi&Oj1Wz5Zr{9Dz9Q+Z&cgJF+*hH$_X
z6o{ZO1kgTMJ$t>qDesZtbrQW=MaPupht!xLt>uADN9QK+-;dFOw)NA4$wF$#sZTbI
zm7G)QdMnFZ{nXYpQd1R;jAec=o2a|HWPN~){{lhn24$k<}RNNF)zS)ZDzCQ{NW7M
z*rfzyXIMMoxtuc?DpZxRqf}g+TUJw-5S`l04HMbscR(IPtjLdEnaSZH&T&hy4;#d<28IpGmpe>HZ|8qg^LzgXko5Bx7z_x2032TSqE0=w
znV^6HCY+;{s;&te$Je>2`;D|>N`Gr$7~Ohmu3g=pa0VQ&j#gZ!&#x(v;r2g`dAq4b
zSAW{Uit9P-UK-ZX4WDS_a86*BkqRb&e$jp5PaDHF4+>$W6m--Ohjl5!BnBCpn7957
zmoL#ALI}0)?hTifK!oy&=ni-`YCg0l3lzi|11z462{LqppVY6;n#~8LO#BSWYo>lL1?Y;^i3^N
zgB2Q=Vg>ngWd(EMS<48x5xq
zFawEAdi^PT-&Z8FaGBs2LU8BU)0@11(sa0Zp@=mm&rpq
zhJhq~SogPsavBq&nO{(GmhLugc$S5QS}_>>jD5?nxNh>7FL>rB4G^bOU_;Wow`_V}
zxD2I30!%q{Md{*ei)WRYTt;5Wf{QBBJw69p&7GS4rP+Bz8wtqRw#B>Znjij)HD=H7
z;@;aBJDN*8`1kq+a&5xtPanCuUjj9F+Qxmsg;Zw-A0v7npuTiM^G
zE~qD%B5>Y+1&dfxqn;q)uKnQ|j@@c?wF^9jGqau?2__(tsWBn4jrPWU*{z@Q2sAP-
z`N8G-c6sX(+D3fAY_edhUNdyT+Qyn>Pg>
zZU>P{=W}CyZ^yaj)EDS>cuHq~>p#utB^|Qk*$uY5IC(Uk;Ifk^!^r1?jJKQ{>0k(s
zDHXeT^!zo5H?rscr9O;KIJB4LV}~hdt+cuqU@HKEf}sN46fY4Y15k^IK6W|>?ThI{
zEhjCPhN#)$F}={Hpf4pq+KHly;mG0vM>Un?O?9N
z)iz@ph<=6BKw%Ihfm67T131C5`|QVyu)OR_*INUo(ReG5M`!5+O#8j|VRskE-~6vP
z%k#swhJFFw^i42uaJy~gN_CG``YkZ&_0eC>6wXGsfT_;CoEnYTcZGKq0EHO@B-
zEh_M?C*@7O<&1p(iTWGaqWPzd{~Vm%9CC;*;*Y*+{E4qc#f#3g98nVWiO+TA7olpq
zaS2c1w-AS1y~n#8#0!G}yNjAjSmC0@p3tnPmutO
zFQr9m`H@8NlRztn%zJUjdTBsf{}aVu^a*6=^soeP_RkW$-K+^>&=(%rIFqc5Y6K57
zW+N_ss0c78F)q)+NQwYi+BzH68;EC}S}B{1wp_qaPIrwOwveh@+ToVRx!wRc1^oWJ
zcDywKBu!rf`@!F0`3{CL9W{(*Q5QyKQ)aP}sg!y%wI5r2BlnA2UFVvDq%4fuzm{^4
zsXed~Qc>H#XB`4>$F(S)Qf?`92E9fxA%Qd>k+`@cwG#EJT%}zhE8&snhLz_-O?H+!
zw=`QZn6x_H@@zSlcsz|%F0fry#ejKj_!_EXklixK6-V+#bCPEVVc^2r-J-YVUDja*
z&@Py-0H%h?MB2IR;?>C6e|4|DEbM+6E40q8o|8lRp#Eca&)Ny>t2)lY)y_ED|F87}
zrXD(Rj+vwcDn~fEXOhH_CtCyv`Bvp8;|RxgG{Oa6erldz0D&G1D9S&}=Hv&2p;;jY
znnjrdy$*Pt5`xNuLDu3zEp{?c+p1Z+=y_3(FOa7+&_c)!P`tm2
zlYisdSFfGH#>Rf{u>;Bg*a8R)tfHEdNSuEz_VY7SjDNXfpAQ;d>#rN>WsS8xmXg`c
z*H`zlA=Ye?A{S*BZYR}!1!36W33s2tGmqwf+h`dlwrV0__u(T2SsJEXcJ>c8^Rp#j
zCo}y3S%?dL!Pqs}A_3}^=jxbI28`AA
zAWB153Yyf>6Cqwj;WkdL$4=PXAOnZN*hfpXo*RUIRx$V(VRZGDYM?X+dWA)6RdnAh
zatheb)*WpXWO*LK-f(;p5)wi0LqWR_U;WwgS@?i;kR&=80IFD-hdQNIV=2gXm}%NE
zYvmXm%BZiQI>lSq6ro0&{`XKzq3s#!Z{i#Bn3}=0fK*;Ol5cbe5`s8+KT4
zSsEZeh>fGHJ4FLYtW}dlH
z>vADTFZ)6}ykCD>1Cy`3k#b%GdOUNMw>>$uQ1OwrTT#O^j*=>pL;=rW<1q8ML&pF>d&dkL~>wrfV^tzo~8?N=wCrB$zbg!&}S
zjRd=B4v}bHJ0&6b
zICPWUS;hxT!U~i&eJ@@l^4?^=e#r*6Y52^kuQZ<(?&OXcB+nfdhQB;r`SBgK?16V@
zUUT2ky@P>gH>Z9tt%e`fUXbKwV}4yiqL8jm*|LOl3RT}SCl~^h*t9XbDurV6&dQ%L
zTZ=>R=Ijq%)f^Nji!<5pjc44ta?s5*$j-*vu`%x~5WSdGK~%(z$@YDRsiW2mg)*f~
zA@@%R31b_q_4WB#RI=Dqbi^*>;l0EByT8oj#-u$3m}Mk73vjJ(nPunP4%kmnApNDi
zaN$q}0#ofnJEFNem51R%6Dwy?Mks2pO_k-TIzu3`&O3IDmRgqrHLfd^_H`f&3(J|b
zYU;#bsV#f^q%YkU6I5shwxW$x>T|ohS%)6jv8eS#@0E>N$5KSCt~xKCL!lgO&vi~$
zYH?>+(ATthD8|j23+t)9*nZ#l5v-^2c
z&$>Com1<8hN{H>sUP@0%ZzDskmgqw*JNDWvv!T&HSI-B9axZeNTzIt!4xU%W(k?qd;nti*(@Co!<%4wwV)>LvRR)$6Z1PnuWzvNl`s&?jXF`v_!~2In`8>`xb)40>6a}#xHCL4?slZiH>lBx
z=eO+}%-7Y>)?RRt^%9=w$@Cd}BvI$OxWXGawXGc7ihe<_I{G;0R#nKL^-!UEqUB4x>T@zT&X{`_
zWGEjTnerxKn#B2&PI29>%dU7Ex!htxz8)98e8={@?!C6&ZD_B1j75aHk)ET9&R66Pne&Phwm_=@8`U⪚fws|D2)|9PikF-o^Oy=9Mbu1sL0va@)SZk~
zL&1#5#fwH-mn`bIVrqAn>>p06ODPn7C)tT2nOiu*ig-Bp^1AjSD{g}_yno?uqP^PT
zbvvIzeuizNaJu8#>ZmI_hHmDKn&Tl+7|szI%7cH_h~8OESKFNW
zI2t&aYpbqHLqGOfH1k@+ohzU56-K!)=&la%JN-U&6>~e$M%`L;VAgq-{*;&HS3351
zF^1e4>G}uRyx+S=m-tYq9`Wbq^J+482GMtz(eDeG=_1lA@9)}Ew%ZiF
z>F(={xXbI~q_x4?K%pNd#=OXApSU#SoI$BO6SV#=TX8e5mhYWZ+v{#_vla{SZ%1kL
z@4Va9)0W@X@~s%WrXBV}$I$eq+cdu(I-Hl%lnft=BrMCn!<&u6UN~8Yk9wn&aV=SA
zWEYFdhj`oTS3uyO3UiNo@r|L9NyW0CdW-$1;P1X{7otRZN^k2<)(Z1sx&=?QJm=O~T}BT5!o06e
zZq#bdjA)CGk()L}j(%ROQtBN$fABvJFl`%t*Quq
zH|f@Z$GIv|OgST{=w5vES>~2@&Vh^swRh~jO!`P!d1DWpfP2t*9x*nl;8y7dn
zx}BfDVlpMX<>~~ipAOb;zH@KiVpH4Sja;g^oX{@c-$N^xvpL{1m36V3zkPwbzg5|?
zB})daUU=RM9r@#cBd`h{3k8;Hzo-%1_;IqZ75?ox1Hgv-eoC?mqhECO@IBl7|(wFk(s+
zg!$W>8Y1X?G4Z-bC2!>M#^bET?Bu$snVF-xRYk@Ua^8hk^CGwtJUzGl$!D;Ieab{Q
zJm%z!w~qxBBzc-hKB!%VGljN%D>$#F@#BSzqmT2AWE>
zENy3zCb6AETy$)Fad%DHElyl04@>P+Wp=9T&DA&V>}uEQWNsxt8fbpBZGJuC_|W{|$UM`yg}ZM?@CFgeKk2Dx!KZ6ivfMFIT=MvF7feEC(lLv+
z->}8qX|3(jHl?D_C34>=Ux?tC5;Z8eQ!+PVYS7-ZwEnHjESiMg_tf(5UV=!t0uPfW
zG0QNsE^pn^-_XG1VWvv=QXa~KFYslhewgBWNWm5J>aM1mOl4#Lc=vdzwpIX>LADR!Z%dOOkl^U=J#T7leh6Y;J{wBAwIXF@DbOlu4;
zYPCJ@PzZH(JA4u8&%~xL_|I~R_mEIikw(au6^Rgje33(EF7dQ_@A4ttGDM`
z1~HV(?b0ucB~2zTsamHt7s8ovmr$9rDQeC5cq*ALYOa)c-Hmutcimv-yh^rucb20;
zyCAN-V|{L!)ZJEfVO5391P%`?dbN$N9h}S&SOR2k&r+9WSWX8dr8HIZ-
z0f|w+WGwil9wu0k+fD_up{r}v*gf1s;x^cqJtFkKd>p+K+D=IiQCF^;A)auslSqzu
z{o+z{BNr}~7aF7Xp%(hZZ;_BqN8!1f&BoJ|%_=*)gS|2VC{wF#+IL?Z-51~%eak_p
z=GenpXU2jq8t92ruATa}sfu!l9lDzwB-Eq5i$WRAU*mO_<&V}ect?-^GD#F&a$r&8
zLRB!-_#-L0GxoMSL;KSEH?qHH{}xd@Edj1YY{m#{OH{nbA5f4wN#@oMl#!VJwTesGL=laZfC~
zN4RO_ZKk!s7{F)m^a6YROl@8l7p|Wtq;#U%=i4~Q6gD}vmR8}nA}J@~MCsPCnS!Hu
z(5Wo^knh#D*;Do#oLh}sx{xT5Dl!kig$U1%eby^Z`(6t!56VHdXHLbkb~Ua%8HGYg
z5~XOP(`{sIU#JgCLf#vkwK@1gZn>Rf@zFcx!5J;dzRfi(JxC^}
z;gDoS8{iEFZ!OHMm(Cg;H(lGf`_v#d^V*op_l=mlBZ_kiv1m)C*Cl3g3y()%>t|Xz
zNHC*5zy-$Axx+l4mT?AUME6a=)Bhn``O>+zBJyydkhF;C(LS*87<@VEe|0zAJxN<5
zX0De#qCtm?K2MjyPvaq#um6-aGer1WaUPGz3t!Uvj{J;&Qw8`kckbkJb?5pIez2
z4VslM>%Q5GqK`8qAKY~G8zOPot3j_9Y0+>-6x$o?;7v@{^Xy(ccwJ2;`gLV2XAinD_M`0SlUGoN{hxOYMW(U
z9u)_n|A7_0w7i!$3Wek9+9y#&GGt?9K;=feu~l|GNvnk;3e?=EiS
zWJ;r>K9DSrJ}Xj-9(AWO4A#&2NlVr4j5i>yKEGr2bGYY;z(7H;R6iWM!Np~wXyRove(jzI3y&Gl
z7Pk&;ih8kz%I(#g&5u5AcOC{RvrgTKjmkf-`+(Lq
zhoPk7g9Y!1iP7L!cy>+RIMZx%(&4hS3u9LBjT(=#*m*%H-
zS3BqYORga&3qlm?(vkl_ZcbCvZCO=8$`wa>Hc~aV?cRmgukX;Ymg?1tGRD21y`B-&
z7gj4+Cjq(C=I#fnw!x~b%l+}YS8|8eg7a&{y1)0m`Jw4w`i47Cn<(g=htl
zO@C{Oc7iMUHlU#=&~R
z8%`>JsvA>z#|QfXI?i*=m8T!f#or(G$}^}69RiUVXExvDM#`!GOa|SC^zCJoN!LB#
zNfXweTMwd_rhLheS6j$nD!kY6Qq2C~2SR3Xo@NaP<42)TBAYpgCW^>Ynvr-ol|E;fuGasWc{!^laS}*4&G_8Ct)F
z9qE!C@ZrUh;q8Af#cfn8Tkl{MzzEH-aZ`}|I=w~p83Ufk$l?;|$>Nq$w+(aKsapNn
z+1Z*9K)J6U6xbIOOu{cx#{UbcQa1bRNJ>drkqoWA!7)Y(2)+K)b^dUn+etgl!4{ez
zp5nqh$B~ysuPGwEQa|MyCd+SHQ*y6QQu09EmoCt?^YI)2tri+#B4mFZopP2;M^Q_){EM2
zRAA$Z9TJCE*{fCR#P$^H;2Q80lQWFbdBdUF_eY{&hEIfLyw`d{F;|8wL
z$Yw7kMi_mjK2mv2-pqtGF0+tGD5l^qB?etZd@vV}x)KWZRH
zBX<+bPV=x6OXb!r-=9B!(#c9oOJkoN7upt~+-!BBOsxHq8M*v6tGdI4B2GV8kTnf95qLfC0dmRbfzh{3u9-v%w>(2A6%joW4zWh1IsaXnVU_iVKE4Azv_KQVuAXHKckEdHKh^#AqO}wa0rW?+3ky~J
z{D$gG8DdNL>?b$}hU3C4?=l~>T|ZTjedYIBe%nP;e$e*H&mP>s-WMew*|GVszpu2j
zBiz4mv`2DU;MrAbrG@13D+Bh6y1dMkeQ*l68f@^T(`3C4<^mp8*Gfk;T=Uvc$lR%;NlW+JnbAFmI9`)(Lp$9&fEz
zY34EP&ZaoKFHdWG9VBV*_kEIm_vH)#Q~HGd*&M
zvn!LL20jDz@~U%XlvAF2`pZHF;=>uIP$)9og;;Y*m6OsKGMP9%3RPa?TzFBUwFNjJ~AzkN5%M+N3PYsfas0n!?6(KxD9QBzk%;vru18T)bk4Di3Qmv
zl3w2Ip_Z9SHJcuh(I5MHWr}`hT|T(662a4CUJ*B5y3vC5yMK@Z3Yv7+Hgq>PpRJzn
zQL`$)#90)sQm@qAg1X0L-D
zz3KT75+UtIZWZ&30hccMryPogHj!cR7V^IB^Ax`@gh~jO;t|HfEQjywwKcV4IaC;2
z`GrEwnKwl)|N649i;Cgz9j{Th?@!0*F;HAa3caRCn{rGx^ehTRdpTu3m6T^Mbf9
zZAEmBe_l(p4{9x=(#~WqXpS_CD*||S{C(u>Bfq@{;IQJWgw3h=JSOLQwdsmNaTTqN
z9Z^6geitVz@~4rlRKQOfmQ4@7M>cQUaf?Om-51Pir)Yy~lDJcOzjwkn>G17;wg1be
z7+2OHlv#2i*}CD5Pr{v1L?rU0Op^UDsSEE;|9rL{1=Jg6Z;Ws
z@50G(LZys6;!=x@E@)j5?G`&N_duQ~hoFW(?kF>kIVx^Oq$#!Wtr
zhilQOCCrQh{KVr}fS%Y|GzEc3
zAU>;3yh#{i*4l`cy4`GSln|1Tm!;k}&yRjQ1^e)Gmkxm
z^3UdEPe@;w!7g!{iMI;zDj7LW6bKo(GI3AV=nNd>YufeiRi{Sl$W4)(Iy*@@-EwAq
z_RihmGU#m02o_PvoF7BeT8@73)KFq_s!~Ux-i=hZe&w(an&e_IJU+~bKi>fn{`zzC
zOZOydkAAlxkJQ9_AzxoiG7aaD`+_9&9{XG(i>PA#Q+lzyk*_nHHAJCqhqYgHhYzOW
zndzy9yMj~EkRg1KR+Cw<7x#%ERrlAR++_K_1Ko~+r)}?#wl@SUd%vjIMMK*ka+pW|
zr?+blhkEP&Q=J#RhdQToRC22%M>5H!B!+V2I3$s~A$Q|48spLogLBmAken2v7!t}g
z_gts<2!)JG42Bdj!?+xGhS6_*>3yH`d!FC#`906?d7tq<0_4{g;iPtmz#H+2x#E1rsLPq5^UO^1of>EdXn)W3)3yl&+nP
zwQGmHE2ll_*7?v_2nUGH1^aW1?xptn>%e!{s((c4pbEs{DMz#m*GDxudwQqSnJ1mU=FeSU>1d;Fd0ZIo1e58T
z^mFeW*hg+EPpFfmR~+s*3abjDHmv$f1xzF9?Jte8Cxrwl5UU@SU&~o;GA*ykO25{A
z`gQy!VZU1=vkYzI_})<m
z)lkFO5}fvBL+}n
z@LU_z#P351zk0*#xqYX;%=&-XQ^PM`-h%TGM^`5UrHqklQ$}4T0i?SuIRAp@chTdF
zSI_;{MEJHm<`7}?9m-M{elEM`VosrGc-CDhP?GRm%eP7;NyZu2YO}&FWQ*IVrK>*`
zEoo{QITYENWthKHEKb;<&3t<1#f+(!lL>c|M3l_eI~i)^z~Gp%{I$%wr4b6RjVnFj
zrTspe#0`DsUcr2U?Z0IqF}GCNSA#onY!^xJ*Q3Z>qd3i=uM-G5^1Xdpb
zpV0V*8}mcolp2}bBIxOT@wKYR>T%sH+|wep^z4cdoofkt8RtWjs(8m$%EI1zO9SE5
z@`QxFZfZ1}r
zENiG%@_~B!P=l$Ko*NGKg5no$3T%;3ygayhps^;`LuM
za8DA2Qt=*=t;K$g;4Ud^?1BiWG?!UudHM2XcK+kXe@w+eUqTl=PU(CH|H38Prw0%sgeWB8?OY>JqYsZ!VE
zf%VzpV+Nhb>;O~cGZO{&{;d`&=gfz?H2u>JmX|$YE5|)4LUFVwvH8fR#tV<{xhtcu
zp^XWge6Tdd%D$$a2T94QtUyhMyQtsks-L!#(LJ&USbFz>xVX8M)q{@06r+A*p5S0H
zXJ^B?{0Ca8Vr~&X{12Y1FxV~^Zcje%l^ll9z?KgA^PJZ50Fi>hJfuhg?dgazrpod(
zVMSduirx}_RMjEX9h(FD_m^g0V0FsR+>tSe`tdN@68fV){PoxEV$_d;Vw`OVNiU=*
zi)0y$s+Xr{+!6CDS62vN%!@IvQ9wiW!FXYQ$_3nlK1Kxj>wIA)Y`hL|-U_~GR?7`0d;8r#{Vy+I(=+Sl?Xa>+Bb
z%L^$pA^Hss4fsUrU#QgJ%nzKSu~XA~*(AH*F-QFB+^9`mNF~elQ=X!2x&P|*k;a$<
zDsH!zrU!EyqW4u_F`u?7a?(qTrI9D(eR`jtLq_1%_GsMHyfVA8(t3F)jGjtavesJt
zbPu0+&kQhoXEdrljc3y=KpJ6#+Phi_c!kxL-&{Dt(+uihS4LxeJ<=G&-IUZ|suQir
zNaeOrOiWDNlWXdeezKKv@js6@>~pwcXc&#JU9_lZc_W`|k>8oE&BqNAnk4awal~EH
zn7ra*WpfLQiQO9?cKbu-KZFMlPy6=NkmeWG=%3e+5sbB^TR-G%aosA<1ae|@6%`}=tG5((xFz!J%*Um?>T|i
zXGVagcecK@nQ&bNB)iS}`PE-SSL&rF_R&{vBIEDw?#6XI)~mWc`P8^xZnRcDMD&;Yh>LU|R42_n*;u&r`AT8!Qu5r~+yGjR4e5b%
ztEy}&-jj24a&i_R#hVTUtO!NL16Nt)V{ad32XK1~;t;j~{47Ep`NJ=Qb_Kh1vS3ys
zFbu6tK_)UyCg&gEsE$616W#qaq!J|OU2aXy0PrV@!R`X^UNztMn#htNj0o6
z3*+AEphCFenhla_EfuQ|e*h-d6+~adk~F0LTjkSDegZaWgsePgWq!H=d1oAE
zANw@k7SkXM-!K&2_IfYOO*^|X5(FfjA#R5-1-xWg2n`|^U;0Z8Y%B2QuCAFZ*-_0V
z!uQb)185n!!k+BX^B2v3!GI&HOnV8)k=C
zfJ6ob&~}qmadAkWs=S(X=s6C=A(B+#83Scmw?9hkIsW?d)FMVAV^P>ATCW>Q{XCKPm+o|
za@_?`vb|ao6szXj&JLnQURRlA8;{qmO?N>$L{;*FhoapJ6Xf2bN{YZ6MAKe;cnSxu
z3y(|R@Iuz)%*OPL|7SiJfCCr4`R9_~U3q&;%vB_s2zJ4NTU!3A(D1>n5-LsnyvkPb
z|5-ZYINBUv#ZC=|=nphxty3s?P+Yi)AW;#G3itN%_P#%&ehiHcto|Opb=hAl74CiT
zUv}P+bTs_iQ9xAvEhjfuROqWKHa0l`5Us1IsEEy)l-3S~6Dm7`ZIwTc&FrfrX74>=
zpQm#$4e%AUmU^8LEzW)jMlAdYSql{r-7fs{7GbPaY!Fg_@#?kLbtN_Ye*)R<2EfVO
z>F+!hjvezKYfWlnv3%+Iot>tN_BB><{-DYSDa(UZkchPmK+5?XeeF)r0}Gst*s56{
za6fex$S476*#F($?_0Z=fUjG1lLX4{9lbc=Hw1Ip-QJ#-=nz`j!p`V;3bUNkk)h9p
z;O1RiGP2UY7y4>}KNChL4nV7=E^qdfm6rZ+;)JhKog{F?j%vUA<<=R7OH1x_^-K>oXfTsOnI;~Smmi-!xm#=D_vGZ{1s=DsMYZdmFCgOPLRw+YDw{SV
z0oVJySv^J0O{&g~xAVeIK+Bvcq-7b^9ZF7C37LQki#;1O{SMMiWreLohP5;48v!6b
z+?){_r2qBlE7k*qZi{p0&av4(tRC9>8ycsmNveAIIU0BO_gDU0S{(DGVFrs%4)
zF5-gQQ2S2?PW5MkTExMULA223x!L;ayrof57__noS!6l0P14NPBo$yrHekzkGns~Q
zQeo=^{@7`H2ZWGIeTOiTm=G((`~a@{;7U1=co2~TurV)hT?TJsidDfiqw(%zmWpD>
zAsZaEZa!tk11vALajLIGKR-X8JoiRUEp&aQjRhj2V34d8Tn-0hS@n^-xuCw7kPLhA
zt#7E=NKpYh&0mOAhA&al|}?a1XLuXLqL=e6hunc
zN=dgMoVoP42vSmeR*Lnu8qUnE_H2xoLsL_~zh=+SG(LEOP1so?8=6)~-Bf!U4VhIRZ;Pxd%Y
z&KLFh^==dkXr(G)Fqrs4X3o&q*w}VkRvtb+Bk43eK0dyv>;J!hP}^UAyW-Z#>62?x
zZb?c;ro6K}?*3F9W6$gu`Oq8d8d
zRX0Df={yuCn(0jLbPe8M7dU=AFFzljh=|Cv&g<0s_wO+p_4yCa+1vJ{iAV<@)C^m0
z%ncMshaAd9({L|W4R7ARC#Y|`I@Ll-L!+UqOZDOAt2s?fYXxPBZ6f=5YC-+%_Lc~e
zyw6V80zZ6rQ!3kD3Oh$<$CILyEypVKfc)&)v%9!^`liI11A+VFNnH`WnHM5zYHE7o
zkl>UNjg0n5T>GiHV86YaJ|St(%eI*=)&M%z8NrL7&aDSC0-S
zkJ`SJUBfXeE7f98EocgjgY?ZvyxKEv|@cU%r{<7?d^BXDdfZbJ_G5^If)7K7k
zUtU-wWM*;%9;|g{$oZ|?C0BiQuG#37b^ms|+UCdm2Q@#^uAOn6kdynfIhb+wI&tuy
zMXT$3>p$iun-tMg&yw}A+`ho&JB3&L*-7~7OF{}};pUymkmR+Q&bAxk7Hb(?fvd_m
z9L{>WJ
z52Jy-zrMa&TdJOXQzO5JyN86rF%!5Yz0}E)VcMAO>l6!Kqj-Mx6*2nnXe#zI!3VxW
z!^2i*(*?8~oSdA7%jBOudzNzVUc}zUY@79&*NYc0c=~)s#S05gj=x4K=@GI}Mn*<~
zL@s$V|GgjSg`=aRQaQ73(gKe^p13_;cNw3DiJ7@hLF)QDO0v++`J$Y<r-je>ad?2y2d?k#vKsmN`o7J+
z$XG1O&3)V`c4Wl#SfV;SqV?cY-IFIzHm8aFJEhh84ryUaJ6^v^fV8&f4naoUIY)qG1r3M
zq-12oid=g$<DNTVw+G3wNE)6|J(gd?7T1ME
zGF1;keh=oXzGHWtdSGJNa=N@8|JB#KzkWH-dCAo8PA6#U>uZ>r9@D;f(S0_{$5QG8
zCo?l~mfrAmONCik`gl%8#>hgD3ERu^=g%VrwB{h@m2$7ZNk8r*
z%G}_y3|vz~%{Sz5BL|K&Om?}3puB!vyVUQ|X)&=*{gB_r$0&&dx4+txQd7HNdv1tV
z)s)vREG(Q3Ue3rk=C$}`DL&be238lt9ek|m=+6o^GxL|sk53~bq{x|vI;7;}DsaH*
zRta5`6_m7+42+DCvpFGLuJvog@$vBpVimN-^uDL3(yoX3F8lf3t&!5Krj>Z(BE2eq
zEAWTMeQ^m15!!{}0}c>ry6m`Jml`kTG+DRc3!7FTf_jFfirmm#$;(?(VUPiMKaAG3x4;XNTcgxj#ITT#Qe~YMInXKdY-_
zd+^|a?^4z9>gcU>Zf(kKY^TCj%o=Q|Uis%fJ0Nd+^I%u?>Q+`#Mf*%(GA4!vBwD
zga3D|23N~d-NzL{``c37!y_ZH=(cwzb9W9~g^Vvm*5~~BWsl~WUw35H6WKn07haap
zMJ?&$?~Pnf{$5(%*gAQ*eLmykO^9S|Ta~-JzMG4~
zG&|!y+{|K@cdxlNFriCLdGH_#mUsWb1DlPXA2VdUg_dh(lBBHo!TTyJE0=b!y%o>W
zi-B-$btlBql1qY3x0IXTh#Wm8`mzUoFR3a?aTA4
zgA1M2F5~eK<0+Mum6v`8UMXeT+uM7gXn*sjO3`5L@zZpEBs~Z=T$+RWL*@krI8bE=
zhm%}>IJ)8UL61L1qv329;`!NIUxW{KnvSB(g4T3wuT5@lY;0ify~X!e71FWOsIaC^
z$;w*Vy3U{93&_%lR4a9Lt{~aAJN0es#>cGqUkdM{i;9cEx)z<05%
zI@hQKnTns>+={-`US#LHpAy@p3){{(y*HcFDZ5fn@IX5XPMfxR%%jInaY;Yp3?9VB
z5ci`$J2N>)2ZDV3{1#Dp6&19G-G6pkJ
z@zVy}-c91G+gxdKL-ym?`WU;=lcAr7hNiN7Ch(>Xev0Z7J414eLR}6C<-ev7(NNjK
z&l;yG*UQR7Ze3eji(+SDDz?Z|#!mtCY@c8!r=Y+?uvjc#z!9q
z&wzY&ma6}~P>O`sdd}vTl#r8O1WiX1PP5w
z`7j#IJ-*E*>T?q7R#4BLPAd5Afc>T*Mi=+@jcLMH@sSMq0IB@^{IP96NoC$x?hGQN
zSS}^xfd&Is5nU{gx3{f-D1QrxuYPvxG7x`j#sp
zB5c)IZ=5bfk6l6UM+>f8YEn)-B}|b0X+wo|q^gLvFX+wNzwdDU`;Nuoa*f-!MJS00
zUcP)Ow=Gi{M9hCu0zc^l`y)2?nyRygh&6hl^;6+*m+MN$_i4SNwacO#?b(oA=i!^l
z4b*ggG_a|NgM$N#4iMjM#xUVgxS=3LqT9$4SBN~{x-h!n3dg|{LqkJoh5-Dwy}KCI
zd7S^GF#Q|}NM>
zNQ;QAgFxNYcYC6qb+$K4RYe8=T@vRayjf=!qdCKWAt81$~G%qc7cG5?9H|p2u>4bz-|q
zq)qBss*3cKa%5Wh%T+PiZG(iEVC`(V-FrC)Pdfg9t*RH$0Y-||UXIy)O_}U^ZmcZE
zv!iA78H0(R0Noy65}a}#M54g`rD{YpM~o+#G^6yroD`c|Nf(7(vyla!#=VcH%e64e
zZCE@$#n(amcO;~w^6mSwHFX;Txse9m&oc#hALr{jcqL@;QrnV7jXUeN>o7PjVc1kn
z1+_Cat%OjZw>V~Q5ZCSa^fF0@r0z4)?y*D0RK!s%QkV;{L5cPH%D3%GrUWoUbm%gl
zynIQorly8uo~HTD=9hziOIOl)>t>5%Y;gm6v96yVALAjctgHaSnKFNRjHVbwcAUUN
zdUNFXq^antSWtk&f34bu$ZfAUv|8%8Q*swqNwKVP*yy^g4Qp)ib@VE+^@M9s&YO*`
zlle$bh>q`(sfb+X$A@*Fcon2u97zKprwxCgj0W!{10!C
z>1bloQ6pu5m@_nV2?|uCaX(Q~PKxYlo!KQ87G6!3=>Of9^7-iv&;4B&PTXxSlR)gb
zkc!?i`S25ED+aFF`ur)K$_?=@2m`VDJ)skBd(;US0WR%oV1!vpr*l>e;VTHI)Ml4
zF*)Be&&0+|0-m)?p4HzR#V?DS%f`R>gUs~VX^aNke>IEycxn*!Z9#_q`W_3r_%X`Z
z6{Bz$LTL;W3(H$(_PXuSTWX#26?2yJ1|^>z
zUYc2#h_Z0T#E$;`ILcyC)-!_5Bs#;lg}IhH-#
z%Qh4K6>A3}*-y4>yrrK20cT721*JQ8-i%aW$U9&g3hpeAks-irHBAXv
z6aa_GY_Ie&j-a?idcwA-qZk(q#zo7X5{vHN19Rd}gM;oWZfP&blUKqXF_5@z@8aQH
zbXLD+F~{AHXCRFWyris*hgbua3%}=O;Tx!rD2>-@=S(oyCoAEuh2vmXrPo9X4#7k
zlR-BQjqTTgPrbEn&GR5EgMy!6>#2~03T2I^7=|1j&Va
zeGe7*Za!~=#y3{D1~)@&5$TP*v*UQktR4qrW@PLm!2j!K!_0|W^BE9iRy+8=FXCAc
zi{7Qo{LzJA^-%}pz4?ljgqj1P9kI)OlTWyP;_;LOMgaXhZ@~7iFaa&R^L_@*9Bg5^
z6(==Q3ASdRVLEy9DbVN8E34?$|^;#e*@hQjAgWRN{^Chre}3)-79#dQRTD@
zLT4e6OiB1Dn=qYRKc%O+V-W6xB4Ue>-VYxl^@=w9rT7X_o1_b?Tc0Xy6}wAmdP~g3
z-aOzLVQuFE_ELUW$uCmo4|p$My;6H8V8n<%^+4ddwXJRboHQ2$2N#h=wY2H2XND$0
zpS(i=$%6&PQm8+%Mq>y6{WD8&3v-`ip+^k)19tn56Fj@mOtZb?%;(l(ITTsP2%)EIW9@{i7&cA)_vLXNa)?Wl#m81ZR&wo
z=GEb*LC!qjV$O{IYuS+h?z_b+F$=lce-Kv^fSMRflOjk%%_cz#=^OsLQhM1542YavV=Y~z{o&>
zhE1hu?%;g?D|`JpD&_%fy$TBx!2|V#r_nMJ8M>tLdd!@0nw8RU^NhfF>$(2Cey0b6
zeE`r}Z8LjBhjV0?>Z~SSYmyad#|9F?@~pKp=`qy&rayp8$gkf~Ud1
zeB}y&e0)GP!{%rbuw-F=47j1<^EK@^z{4_yeaBv44*qbFIH*YE-Kwpi^s~61c8L;CXHWRt+Au6I^U~X
zkqOQ~A7vM+nfpea*h&8Z&yJ~lsoKlwF7_W_x$gKoom70>_LZh?
zb19w{hhOvv_?j0n&GU)ivi=XIlz?E;TOf*0$1R7S_YmSzh
zQ-*Q1h|r8-RD{{gLi*8j<_tY9Ce9d5Ecg{6R-f+4lP5fXA>L4^;_?2piaFoR@`~p6
zrMq#F249kSz|TYpARPkcW^&ig70LTe@r^YdtS}BNRUkI-xU!kqqbY&uC^gyYa|%Aw
zDFANXx5KZLjExz#m%fo8z$G(fs@EGdyrLY+l*8}-PMaC6>4)AOUElL7r=jc8U!XxV
z;2ud4H>6rd1xb(e*3t!tIgC&ZYa)J)&630B1XYiYs4fdV@XWzSww?}}_({;!vQI|E
z5~i52a7a04ObIkbz`Hr%IPh@dxj1<;QEzwI>+qv1gcy1y1zjGkPf=0P0+nHbN~X_Y
zFPq{I5azW6;fC&sx3dSNG~%sumxzOgd+F@fQx
z*S<$I2t^r!Y)IPb&M|?jpQ1ot?!HIDKV3W0U${wJOX+qawCgeKOnsMA)$~+L1R^co
z&$cHK_W2T##ywp(HohMy;K={8ztiSY%`YTG&P(S%;2x;=*Zp}@IH*l~GwI=M&!X4R
z%oa;|^oaa{_HpUN6~mHCFLV<=6!iccGNOh}5lfw=a4Twk6E#1Bhg4k#BcEu6(4)5A
zrPLJshfr|MB98@D4A+S{O-t_=SHF2?ii34`St())(|Ahaw+d^q%siVGUg*E%tXvX{
z&yGIN{j{{!8{*2PpZSg-Cz5v4^b*KOob
za|Xvngt0_Z-SPDRU`f<0-p^&@-Yed3
z;7P1YwG}={OQfI&FghG4W#v=>0YO221%-(!MZ79eD4mt-+(!O-OjJYnPqwRgz7Kh^
zZ_z`>6QsEVQCH5Hi5bdRRgV#Dz;iCG<7}2UHF0<-cqPgd>vvz*j(qx(9|`>jR^67I
zHKCk=1rrGqaLx)56q;wobq&H<$$fCCz7B5tH(FQP9K@OvJH1cf)k=i~8I}n7qAiI_
zJ|3#2$mnQ35fNQ4j;6eXyU}Lskx!%jA&%zH&=N_&q0-!g;0+EBT`K2eiup#RbZl9q
zNU@@inHyVv^EPo@N)sJJSE?j9QdXi_zZjEs%xSXoa=CmszDF4EFX
z5+DYBoRo2L(XjjoX{+4DP2$-f8EFgm!1Vv~p&n$G!YjM6=oO`#>~+4r@9Jt8uAx9y
z+tSbRK!Okdp(c6j8_*R%Hv|+bwiBu-KTTCt0%{Ivr1^q)N={BP&~gx$4BzyS2Khgo
ziab>2Vy(z7jrPhhxSh8zV;NJ{cTAB#8wFLa}549ZcAz%jz24Q`u(@jNo>
zFr3@eLCFldhXUxcI4bxV6dJ`*&2(N8y8Mchk_PY*V+OhjkqK0_`WXrU^n_&jq{$4e
zQ5->Qd1X!k;_kXIYDS1ws}$&;i6B-D(Yoh$SCwz)>71EwYkuR7Ga3H=lw?TNN=Loj3G?u_O{!&aq>v6R%?dh}3eUueh<=
z?s(p|cYa2n8F_Nm4V;MtYFxN~`4X03ZjJOU9QsE8!Gvtun8Wo8Ul9k5g?v`@cL;MozIxxL0b$BOQygoW=Dqv
zF@2^_uBXCiivG%Z_=N?6Wa;_Xe99G&Hk^uG{>+USn0$oX=rf&($9LYz!9mH;kPeyJ
zn4!+R@Lnro8Q|YgjyzES8ZYyk(eR+Ic(6(U9ii8CXEr&`;!#!2Vl>E4+Em8%6UH=8
zjD&9d=s*vjGW!IN2ftsV(hU{;zr+E4vUZ`$T-4ItK6esTzG}$Y9{ja`ZAXyI+y+j#
zIZhQdW;C3h_eiAlS~)JQHI>>ET5=z3-U3~JyG!-kZGl)^S7>MCd%N6UX9QwY(Pg11
z??em@x4MM|rS=@T~FDWI?u6|lrGNQ
zBsJU#4_3{K7a3spqB<=`T2kQFBIvCn?V1Bxr~MIRp*O4XJ%3y=N+gXbr3#p^LKl=J
z^TcYmUGBssBCTnUK8yug6A>2{7D{{mq3S?tdc{UMA*rPpp
zbVVr|L@3`39n%&^{2T~E#ZM-XP#Gv^hU_4ZxHR8RXwV1SvkNU=MDH1D*Sx>U@;)>Q
za-laX7$X>$ua%b=P(Za5)n`sD^DTzOR9)=}Bp<_*{UD*mq}%$NknX!Wz22
zOs^=MJI5fCrFTh=uL<(hklK2&l9Q7VKsUl7!=$Nx(nyS#YD6vZtTs*F_9ZfpF=EfvsnlSRl-asch+R=
zB_Sqg3N)KvCPqWjjrX+7Gh;$^Z=Nv%=R4USD-#D0!lDAL3Y4IUzUeOy+}hu8WR%2X
zaSW>ZPys+K`Jxag7Q(~B@sZ{(EI*N;;fqyY`@Ltf*G@^3VUNJ&7Q!J!BEkfGQJp)4
zU`|6!u=N(rSiCjSB+5*1@~#jF?cSfDJ^9y#kDaxRoRWBd{I3f?Vp{+lu&xgu$$ITM
ztB3SHASoy)ASyBxEfb}rTa!l+V80-`?+F6kt2ccLf08as9BJ+l=UFkfmSD4~GE-CM
zU#CDn-`*Y3$bZ6)2Wd9?F?Qw|y7}jq(YkxMiGi*v@s<~@cdDE?EeFS#^AF|iTXeRf
ztgQbsVk{{OQ(RX$L>g}uJG?5hFXNcorzp1*3uT*cl}^`qU^5*_~6;
z*E|fMR6c^#J4Ckr=5Vc>z&jfXR)rScoQlhP1h~DY~7`s5GxZ7wiSU&F_32LyOZ?|W3hEIE=e<|
z(cfe7@{>>#fPAt#lia&F5@4r?8^u?6>c^TQkTgPD#e%Nx{{8#8PoEMCRT2N@D#@Se
zKi+D4FW2Z+|Bykl`YSCj4!)+AAF**VO4)M9=yE7^4FFtuovM-|9rxdiDA}YHzFgSf
z>7!v|leakY@ZrPEO|2ocA3+Tzp!$iYurasemd=qr{iJ%vBunYGv)upJt2A+*zK=qS
z32@^5A|>Th0z+vd3K4k7&-V;S=3AC`MRrQAQ;wYZZ{UopjIUoWSd>t%#wmmk8eFs8
zr^Z7}_0n5ysv*DPxZwmwOQ5YsMMV`GAMf$vj)uZ1@jO9^7T%O!y2a%eL}aM3Rz~KAXw5l^riFO`syQHl{gMT+
zeU&)S%GVrh*(17#o}mhwp@y=VGT!7MB8bs0Yy~xpT4!DBikU6yIlDsBL*1eRq1DSF`Yh_lqNtttoWDz^u#o2bH&09*>KRO;d(m*zJ%
za``uK0ni8LZB&belSbEoltWkQU+vaa1g>on1qJg^v7tffp4B_6;!93I4dWxd93u3Y
z(OuPRS&4H((tiCR-3c^V7XbNr0U*Yh@Fr7MQ10f$QoyUHZo89lr$@BiwgPk*=GjE!8%@yd^sK5uCXtaxKKir
z6ha`7C_H>EJkm_wk@XV@>^90=j#|I^x(cEr0tE66?2q>qOg_|Y*+R<33@qGyPOy)L
z?01$%qW~F$cqi9qWg>sZKrl*OkVjgW9s(|4VF9okeTbJ%ZSNA62tR|M*Bx|(nD&$vmH^WVOz-~
zCPwp*Rq+z$%K>aM6km3&8Xwt||E*m11zHUjg)K+b
z7vjx^VWGS^3nj89L=C)`p&FcoOz1@x(}q_tKpF}fNX$Fgp62OOV#;GYGSszKeO1JYt6C~Pe+HQ#1Bxopn0*t7WniVL0o;ZU
zro1hYG;81HqznaGSrS^ZLwDt@tjB8H!|$aObzNit4j>;Ab*yNLK%AWt-t^!(1ejH6
z*U&C#J65ozLQ{g;F^3Oe@5&Ws6;)M8
zF8Tw+i?k1h*nu(xX%O7gs|B@~RmL!SueWY--$9qx4)qMATEga9?iP?BA_#~LUQJ2h
z9C@++Nb{E^+0_`IG*1#$BRPOc$lE(hD$s5K!GcZoHya5yLsL`Im3
z6`vpHk&)9uxh`EchhQ45$LqY2P@A^s@5x7p93ZrKe}^?szmGBVuAFk&0M9cG#f+qt
z&aX53cw<5`^jHI^Ia)i!LGuIFzyvKt&>fKKsbvp+?B_;A@8j{=K``l%1#v**pY3Z%
zuej3t{xW+RB=>3kG3Ep{FrP|L$*!UK2d$4pM5sWUl|Pe`J_ju|z80kWd-Ds6x3GEi
z@phq%`anK|QmRF(>l-~uB0gfNs}v7=6n{dCz9%%i+inUpd@Pxfn$R9Ldd;tqGzEHD
zkg&Ca07R{mSM1_kh{z=;D$uLB(PB$|0U($m-tYau=>3X32hG>yQ?{m!-kE&^(m;YH-~LT^Mjfh$YBv4p;{U*!?U(+
zDQ=*KL2VO3Ky$?i0ec^w39GRG>l~t_VirBZgFClezoCb)G)cwY2Mo$M`{Ciak(YK9
z2oE&9MM2dii%5%|l?&K@4mocE(0lwV&_n_${N(9VJ{@i`8EUedt}juY3=Abnnom-dgqZLzRyDM1MS9G_~s2W2ntBR
z;91oEk&gaJ8A!8VT;5k_=FIpmXfS9RHXf{BM73gIK0&`XVGjd!AiMf+&V@xs6Qe>q
z@NYke)2H4SD`(<64oSTOqyngxA~Yc#OK0H(j*f&%
z-umJuc+m)AgV9|ob}5LS&DLkELFEZHn#^{_8iAYOfqW8F;qghTIDo%Tj;&L!p@Kjs
z$)?Q`Z>Or!s-H-?5KrNhEZ?c{k2l*;O#|XH?wt-kyND~tJ~(Xx$`ma)qdxSEM&8_J
z@6DD^0CnA6PT4D79P94aJCoEvIE%h|``a5})^YA|AJUw_buz?yVW(EY0>lvOuP^QDpM~NBq9CfjTzaMD
zhIk${wKLAxghOx^JfV|;M6`r@&i1;O9u{v2)MAmKX8;N{0)%~_
zHK$`g?*dgns*mEJ*7Cxv+W^0N?A%RCkh>`ytg3>0%Be#u1zV(<8VNFYBvdOsmgNdl
zo-_0;`L1K{OEKELz1v@8A5W#F&@pjC6$Oxe03cDF-5b}*B>2pSEZOt`GXtgRE`;bg
zr|g}nPVNxszNoG&2FL#+V9dXLRu?#i(GcJ^Mq4lJJ2O$2)w;SZ!l16vc`QW*ifL)z
zRUTByK0p^I2VfaL4Pds*n6yKLH@MJbN>Bbo3ONF3u@zK>R8!N#jE1>3thu3=OiX6Y
zu1%#~bD_(OKFE^8y1_9NmzT4!M|VM!{v=PCX(c|0T{VDl1DO=B4E0_us1Esou#}XP
z1mSuVBnTJu2(=nT13_s$mX}heQ+DM#{1d79i4dJ=ylB*XA^1RA>h>rh^5VQ({)<$7
zCUj>3MY24K>Kcc;Ox5rGd<;DN`Ef6XzvVPFQ7qshR2vVkx;AX3p?3k##p}2sZu7l0
z3JDd=_Em9XBbQho9tv1#Ai38qAVrB~ucS0k+5;&b6&O3OYV_34$7tbkkWr6dfx1~T
zlZLoV$tq3=1m{Y_PWDvfUyc#4pt2H`U!Fjwl0y#oP2vkgu`E2PEZq1ANUhm8ePIk@
zU}WT^I3M;~1*Jjr-|38=9xU`AL1s4#I0}LIw`dlqxxJBd#DR7b{MH3PQ-0zkD>eXK
z6FkMyZl@xGpaTccR3{S5S7M^44~Im_h^)d*2~yiXzUVqa-#b#{&JVyVW_8s~Zg(mI
zt{xfy0(x|!0?=-q==J04_F(I@00N+3<(H8G!jjwzhBYc^*^9`{PzFC0Jw56nCrKEHh=Hp?G#CP~i`%jE`@w|tZp|Du9>}86ExGXz
z8MCN4X~95jYpaShhg|u^<+`}%><&D3ef!|sHfDOJ4Z8OuCH^9L`uKpkWO0lHb
zaO0+{*!lbyFZA4u$T8rcM96=1zySQb!JYR+pjPWtJfuq%;H@(Wc|Laa)AZxUda)o(
zxU#i2`3-*cyUj2KGCX|?+r2m8`{9rdZf%JFYTDbA$CqW!*x}Tm7
zn(|#d$T1lTL3MM|jLnZ$4Ew)a7V4ARpv*5QFuZgL_3M=wfd%NOugikv^vUmVAX9xI
zhvxvVpeK1^#c;LtSw8bVqXY{BLj)=h4&Au*$+ps0_JmD(Eop_32|biD-fnPF&z>n@ulIdcM0)1M_*
zzY^X(D!3{;1&e4qi&bD4TvOQWHL1`8ZS>th#4wAPMZ$~d)JOue2t8+9F_3ayVlbgI
zQ`yNyfYfh(x(JZBVhV#PV+ZJqYWk7p>&f!b5ckRSFkaqZMjMbhVfuwEp(C8#r3UZ9
zg$w!obQS~XyP$yql5Eg7}Tt>5Vw%LU~F
zRK)0u?d=#wCMFw@xmSF3&c9A)fu@InLIJJTmEav&bOy@C#%6cX>L?zdUoL=-l@N=&
zbJ>pnTAIdQm-0)sVVG*+bLm-#-_Na@xIBM;Xn~;zS4*~w3eZ)I_^z@vn*ic(M
zteOv9^il$`tp-8Y%3Y2N^cT}bqs+?Q!N}R!ki)KW#mZOagyCB-aeW9?G-vGIGoo7uQ*rNLo`g?^et^jvC*JncGHC1anD?-S
zgR^t{{Zqy%>FKjyb1_SRmsGS;Bf%i)(DMN7e>Uj1SN+l9{zzkx>@Y1)&M>xz(hi;z
z#kNoNbEw~rC&7%s_ri3`>8I)fpywdFUj1!twT)&5^+&`Sgu`GuZ6Fe`}Lf|6D2TqZ*&A8g;#YI)Y$wGhqyxy&Z6S*fy&s(
zU65fX+x4WO@hKK~^Aq?F}WU_dC!z6Cig0L$JWy;4y{3
znmJ#Lf(;0*(YYp=2mqcCwmT+IHD-DySuwipJ1u82K2-32cLlUeYdwy`C}9$eJ<$N6
zjbdN$xWmJpCVl|{j2DKldhWv`f-)FtYMDGb^l|?7h6-ALYL1SlmK$~~DY+FmU=MIi
zBsi#fad#l_nl|`Lf}Yk5gofX#1%@-+=K6W7>zV0#5bs9<
zS|^2sS{KWklHgMLAxDR(I2x)hI(GI1G)tftxhU2U2@^;I?r{f3Ft%vvKYtvJh@e5n
zI6Di&n^FJTT$$vCAlQLk3e+aq>bZI|%
zi=fUGy!|T2+d(h%vy(SfnT!eN4gKRzqP)C#FdRjG_`J~YTM&<{r&=@BhRqB{SsW*1~X
zLTRm3>nbxFsmGviu@-;mwmf!WxD0xvMS58(YHCr7SB#9p-@SWxMbQezE1<1$#(&cR
z9V-Q`aR0oQOSe$D3`pFj)A}?R=U@^B3v-JwnhBEv&}BfEG#R)-1yW*yS6_eCwdU1A
zuLadm);e+9eAtCc0zq{20-wuBDZRy1|Fv!K5ufCdBL!k!u9WLM6+Nv-W&XQS%0J8}>
zr=+9=IB(BCUIR@bAr4i``!BKjG^<01;V|&rV_t*0HS7$?QX$kRF6{D)q-9qU
zK#g}Dri=j~{q6{4(Iene4Ca7RSwx)};NK#fq{KrVn8Jgqfn@3c@13)h)tzT4V}bxo
zAKLNA%ChS#{(0R+TIS@+;H=MnyY#b^Ykm5gnTyw62U=}B9&3Jle*LGeMbV&g(I7fU
z2E)Xp6cif|JtNCL(!@@!@)O1Wcj)48qc>@zq1VJgf(Th6_=Jqbl8S{
zb&me*bo(s+R~V|YjWpt_bXIueSp7|meeM3rEd?QRbA|BH(ejT~_V?dNHv0aE>MCc*
zv$JlEBtvV;E>Z!~SrP-Dd&3;0grM1idMEboT}I9*xmX6$?$f^WJakxS{PH9_-gZ&)
z>XWdP(Zt|DHr#dH>@j<@F#!hC2xNdI__l
zSAN0=%A^fbiVIPt1N3z`Bj(~wiHm#Swb-sEr~ry2t+aPP;Wzu?V=#xnXUgETFOt1N
zXsdcn(oUXm0;@Ub%G1S3-ve
zorJI7HrwA>>1@6Hjh1bkb8A-UY`}Y}V-gMq3HyE7(xkc$0>8GZVizPy^L|T@JolFN
z^b&h*#NV4GO}O=NaOrnLo5zdsip1`FLlB1FHawi$^~;NCR;u1EXQ3Z@jbAR53asTxtj`|$pQ#)#U&-mmoD80fm`Ry
z?Apfe1HS`pg*&03J(!toU4sxp4h1g;^TaLKgcwETFa!2CUo!Ig9>9g0#FMSMJE>Q9
z<%14_&)cJ4Ffi7$qK?kXbu|DJ``@v-|JM(JFDY?9f9C7wC_vPM79@b*87A%~7{Ww@
zt4tO(q~4CBKa)p(r%LR-aJ!1YfT5uUM9vzQE-}7nI`oHV*qh)uUS4o?_;Tr6wJIo!
z`1#vj;mJQQ=$wQxLzqD(K6UC8DST4_1nSkp{gr@IWdYusBP=i(32Z8_urMVA1vE85
zl`>QKdb#TMHz{=96ZlSG`JmqKxSYeFxe~-Ff2icYviPB?;e*9WfPx7zRJ+j-mE|@*
zoEvEfI1h?YbgXR(SnD!{Lm)WOacOK;Rw8hHf75qCvO+urhM}JB@q&WRCb$jyEHHK~
zRsrF0%y%Xc=I+JstV}HZz%369%%sDd7s}@BcIyXE7e2`zcsSDp84R7SL7}kX;V!?z
z?>T;GWi}_2pqD&^7Snb309q9TK2${cCT^H)JR7j>EGFnf12qcDA436e|CWo};eQ@!
zuCizBccb85225km!|0Qf`y>pTJ}JuffA+bvFH6=0_%x-2eRO<(zHafwhN-&#!rWT*
z&Hh~FPbk*$(b$OZ@TUT3)`Sj
zEqMN%(kgI`2)?oby3h)HIEJx1-)>LD3Y+sZ?9@iU8oi_6PVT&R*%Nj#vap~6xV{V-
zrlu)iXIUC>Y-!&G^#94OPEIJ_59(>TwBd0X&x3S-sF0zCb%TP&moHz#`{ynVx58c6
zb#iC|nU(1WUGOorPilgpe5;T@l8_kF#H^A)3jtg&32=g2rG5nemUw+_x}yf@L+HB?
z3=N@^ep7(#x7BZa$DeQL<2=}FC@+v(Yn(OaClG(2{du}CRlwrTCWG|WAucd6cq)W&hGTaO-{nMY7`pTz#Y5Zzi)-p
zi-(~QPN-&s&&wcQzeaWdexVc(TBU)AJ`P~qH28w=TwY8)-Dg3<(EuxZqW1w-0lo`C
zeMQ0d<6#V4y`c7&U>HQZ9<~bMvu7(mciyTp0|CFkaH*iz&s``gMA`^wfwZ=t!(9%a^$=j8(Me;uzuzix>qRXwq~osM-ggONjmK6MSxG(xSeX#E
z23TqQU9mbba9L+<+ex9U&FlEXF6G<|rgJT*_wR7b%y79?G5{RDlP9~bUzN{0*GVIN
zZ4C~r5(?2K1*_44nPdR}VEPp>rZBt&&Zcs7_@@$n0P5oXwSn>cb4Q0zHz))C1TFqz
zBNRN!Wmn)ED|{u&WxaonEG{hMUa1bG09b^G9!7F>!4a3g!vE1w&M&v!I9xa%!&Tum
zZ*=P9NlmlY4%pYAZ#yL@s6kFclb*z_D5{kzAip(a{HZ*6>-6wULPA1eMa7wUpgZmX
zZWa?Ud#y=MPM(TdxnWHIaR_s3TnFi}5O^i!(K_!^kn5cIm@R*8h}X+ZBl!=Y=9JfFW%uFxNI2#FFa7?#
zSY8ObqyVZVf#IxQ@}X
z@8m|UIFDB9X0PmuCd73kkc4`HA8A7l^A2(b3ieZt`;3`fFxbo|Xt@*uG%kV0?
z#l!^flqYc+yNl#_6LUO8>K3`@^Njo}K&I
z+Nq3ZvehAh-d-<(c|OcPUHO0WDRfT%kAFDg#?)&)8hdsRAHHM=(NfdHyil>-UTdBEN?B3%92pH62?@zL)WZj=
zBqV>$k&ql)|NA7o^T_3bIQ&P%Nm|QE&Cb-x)yUx~iGq=ny|tZ_wT1C@m!}Sn7IwD$
z+(O*EoY&2roa`M%d3bF8=Lfj$9L#ve$^H(4i=4K9sO?BXLT-fob1YXf$AW|;>;>w<
zJ$1LFl}T4GHRrvfpRQw>7K4%J-)0rYiU<4ow<+J%z9IDwRj}XG;SU+R*p9xd&v9h_
zWUMbQk)9H^Jw|%!2A}$0)c(iWrCjm?j-Q)kBy7uCFqH)yx4GZByyG@^jNph(a-1(y
zP{Mfyw%g~04dci~mjRH-LIBxyh
zj^E^yMV*)Y4bctdR(Q(~|DG0gU!Rkvhg+Oc{e7qN9aM&1X(L6tonP$Dmxl6oza`pj
z4m{$?Q%DrtUC0QZFgEK=DH<&`^JE(gseICUULi@iSe?uv?gkf^0$h8*_i%$=z-mPP
z3?*k@oS{#i=UP1)SHG2jZP>M39WBlI+`6~Bj3W*zNiHtq8b{9X)V+nduo}u$u^h^c
ztgxN*P!YlE*J@t6shEk(ZC%I8>R&L2asxwoY7|$m7Ch~YZMQxoXcDls-;wtwjjsw?
zFD!0$lwV+!F()n!@BU~ecP1pe){KccExd(kTN<;%X-qeGmsmk&LD{P++o-|9rQ+UV#g4ZmqQA3zcE6#b9=cPEqjd*TXQE
z_C5PO%nS_o>>3X$YMd6oYKC^AD{b{((~0ZoR#^8BWIf{9y`zwDyFW@vBJaeh^HoGQ
zy#}vp58_f*zD7aE^t2(w#mLP27tSl6dC^_}p1!pCYc~85#`wt-eLT1C=O424-kCkg
zVg(NK9b|w1t^DHTx!a~)SF*CR4V)Tal>*X`HS37cEYh(!*d@}4I^~Yw3~?(fD`zA=
zap3CG>3#QAaCPg!Qy$A)2R~csm-;h;=-g(G(TaPhBZJOXOwNb@Y98(48|65+z4x~A
z4C*}+c%KBua_MHXsbw#;MKW6Urw0_gbL!-(G#|)BVek0vF5W!Y98{{AkJV*Dtu-Ds
zh`N3+jEMNBJ5fjpzOnd2bMtW4BdW^uiC_wjp#n4y>8Vr8&E%3p8@-aaaLGfhwYrTS
z>G=kSdAa$yxrGs3J1#yJ-|3R4o!m>;c09IL*ibs9rmqWZdQ-$Lhx20$yonm#8{I-4
zOL;kEJ_jDpdAPrWtO&biVJ>8WhaFcPJSUy;)n5k(25wt_zU90&r4Qfe
zQ0@xDg`85J;`a4)kzu0&W^*n|3CUHRaXfL2jg3rskK(w4U%jf%oglv^e4PzP&{kRB
zP9B|IGlqREg}F>mzh>#VkQStOBy?7)NVifGMx&7-bIzMMj9!8ykgr*k54-*mCPBbT
zbEf=oyYa|bOeRs#X6Ws`6A*!ljfcAh*qWvMM;%v5NUqb1L%zLReeuGDG+0~%*zbLg
zz2Z3#7#4({WEwG-LK-346~TXtSto0p9j{J}!BtQW#QS2k;*D3F^Hfz;Z+mQ-4`cOp
zO-r@m&%Jy16<4MP&Fqod5y16+MF8vyH
z7#sc#?-RXM_$yJLeYfJCq1}J3z$?&
z9)lG@uTA+7DxO%TNw?Y8RL)^uslJEROx2WgpDSzsc5_PsYV%XBz%6GY_GCDDFc_fzJ(FIooxtI0!ZFMo16?@`8clN#z2suqn
zclAA2%XO;k({$GwUP*tujb^Wc*w1el@Er|iruyv;T&Dva+KgjkX9-`S5*n42CmxGr9q7E?Co&~3Tj@sa3Mj&G5h4%
zD{o=(3hbsE^40S&VRYj8u&0+6`ZGLWKQp70BoE4JTvqcHlSLQ%W$86+ZL!(%@##%X
zO~%`8V&i2NgPV|@7N$JchGD-W2~E356Rx1hQ}@F^v(CVQG9*i@6+RcW;!+E{fr6eM
zN5P@FP`^E;mL(TcX3~BUAMpjY696I|q_&=IR(5l%isjT!pYM#L5;ldAV;JoD#lYo~GX!V7YVJ^(g6OF9s`NoW4#l=bPOL$r~RQG$eb
z4dnT}M7suUp2qzWQJ0lm2(nR)2sSP#5LI-(`_H6gm~wi>uM_
zH+5mZVY8fuoLsOd;4yK}E%W(~7|VgoSCwjjvVO4tpIDn0$&AR)|9gau{PzFPp#6Vd
zaz9N@_Tc14Ue(svEGHfblmpaHs9gu|q@(t%}kZxTK
zOdBh=g1npuaE95%0PatF;;4$_JMoRUXT`UkWZiT^gECQhoPP-N6I^
z@C0~|ihl!(ggm|1kLL#N^Au3xs>TSAn_$bgf3bJt6@yI3R(15uHOnx(tnBuvb;U&y
zO=vir5Cl^Jqt63qst%Je)b#v>^RNaw@7e4pW(RC3a;4m5Den35oA^@T;4V2xjbv;o!J_{q8xM+kH@~q7xF9D2422?vj#{F2asih92tj
zl`FaMspV=yN)!{4#E`x6`0?ANk)i_kjc?WBlD?l8kZo$-cRe5|h~w5RWh7@9`W`q>
z;Z3dtnnL@Ot&qqL-vVi8X}r>|I3;oId+k~*6PMPzrs3G6q(Vrj>f6)4zG=Pf9UTMw
zy>~Jo`9ZswZ`=}0bK5)uGVl_mYa0I9_V-En-b8$B@t2hDsI1`6kTk{oyO$bLO9z2E*5F;Mi8ENGNr;z>=4E7*3YXZ;O%SwU
zubssH_+bylQ!dqeOZ)kg1bG$&fqJafZzK3@)LKx$V&DNlK(2rG{x2Pf@`9Dyd<@#D
z`J7O$YL*3<(d%)4EO|g=cit
zWzwCH3>ZLojVP81!>B*pUG8Xa@84V;oZN!s@(9`rq$-${>kPwS>eo9sum`f?bTP0;
zp!A_ta_I5y=Ixa<>NYV4d1FBRZ4q1Q(6
zH(XYd9FVfZf!@s=>7%e?fk`lMQ)72U`EY^R)S}98^^nB7@N7
z4i)JNA$tmh8uwhunv|}euE*$Qy
z;nSr<)NuylNZNr-&2Arhiq7q>goH$bq;G?1*PApbU)r!)d47Z(TE93&KJw#B^KkJK
zS!f`%O3ivlAk7TdI9nYYY)`k;a5FG4KrG_MyFd7oo|&7S&4A5Vdbe(H5x$~+bHcGV
z&#=*F_iG3b^4el&ecp1qp?+X+kY`tP3;JfENv9}@y%qjR-=hPhltTUg8oUFIxPVF9
zKM0_QYBKP(B}BmZgkX2knAYNflN=9M~blCCr+Nd#YCOzvzu4IB_=kWt5uxN(Ehp3y|h4_jjjC$
zktiS&c5Ttp6Ns6!C>bcClRZ1IFf^D@vlRDFt9k;KL-saD(8LEa&B7Eqd47NY;?!$D
zKawZVQWEOub_i4Nj9wH&5t70b+l&h~-#Uvd!6(S}=bCSY%DkqbhV0-dZuj1wl+>Wq
z=*lO6#Ai{TRz^$Dh#Nk`&H@Bo*-C;gh8jlgXd?+3O~%}OLBx=Xgyh$$ZAmI$@t%fL
z>~e~VVUfwnHg{mEWJ*oDC$><0Hy9bu1vP)MeDv_)EiW&xPzZ(EF+eyL4`gMpE-o%&
z1%sN6{tXJcO4uzG5fZ|;_4Ei%d2j1CaO6Db>zI^eF6uD$5s
z{VDp}Ow2dsq<
z6ZN#$#%m6in>SluhJ^{*)~;3@7b%2*Y`f;*;1C)eeVOsrtv?f=txVqd14`0huBtvOpyx5H4-EGTk^m9GjA2i`)$4443kjmKN&DDG#ei
z_Y*1i$wf%$F8$v(;k$G47|7T>kmQt9R8-c9#2DZ);P#nNjYo&IQp;Cjl`M3R)xl}W_!vr2IIIry^#@zyyMSWL08QTrDu7N&JuNK_>6FIZAvfkj8(z6#u;6@W
z@6s>e6*^Wukd6)7!p!dtd$!(Nqh_{-{Lmi$^Ct}Ek$n!oclq*VrqWSP=qN-Szg@0U
zRGsQ;@LI2BD$MnV8T6
zT5ym{kdsqhXv!@^cO2jY#kFgNDdL_r<^nu`5-`>U}*aVid!?bh}NW&#y0G=Br
zz|yXMLt*y!_b=1Y8O%&TqU&gDW9_4(pwKWMudcx!LCxViD-{_T8SovaU1|!knb>YJ
z@b=z|&Gk+m4wwe$-iD#f8qT>ZrQBhYlx)1eO_*+r{peh#Q)G)T@I5+2FacD>ym8xF
z1;rdSE}gPIWH8W!QtT0rlh|i{Ic%NW!M0X&>QyPbPCN@jNL6v**MftCF{9Qa2sih*
z;T9Y2Z#Th$;iZ~vpvxl$7dh8Gk`^JS)IbnJn=W1t+o1x&q3C8|=9LUq5GmH;UsG3aV2#jeh?8
zsZ(wlv#e%>A|&_Dsa_U*Wqbd=za<{4Kj+A#
zqh_h%1b4<8H#T8OsA?pSF3k+ogaP%7tQcVAeBk@d_kaCFDxAyri98wsOTB^OVx^!F6+-14o~lfhK42JI_P|UeYu}{>FU+x-6JG=
zkZO<6y2-9ndA*WHdd)%PaX6e^Btc$LaRiF80MJgasrf$*r$|muw*(D^t3SyVeo-zRH3Z=I!;@cK+-TZ<1rqi@~
zwjQq6B4G%8h11dyn>WOb?J5u$jc+z5uSxpok&ACe0EH9k_PxDFxPyaX7+oQ4@SO%$fBxIIn)3P9%Q^T7
z1))hM*kGR7NJ9f@341`r0X!e*4nvc!(?zhRY8Dn2aZYz;?)OQZ_iJ@p9FRt&Dxk*I
z8-2V*k`--6OQfNZO@|H#VW?5=8*%>z1T3Zn(G5U^KP}eUgbHd703<7R9MC@zVc?N;
zcb@J}E>cT1^40qz7^H%|6p_C7=y3XI5aOil*{sZ@ee*eJPKF{GWj7&Ya-mz?1sdA>
zp8K8c2}i=~YG6T;i{}E%3X0krZ2guF@SL=wP7gWISOgUh)w-^!R)>*G{CbPXKiLXb
zHL!Zx5JU-plU7{zq`mK-Cb{e0dJtaw)qosjIZ;(CvHwHL8`|%D?b2-ERfnsdJwZr!
zPz#1<a+M)827YhS@4Zas*Ju`a|Vz&{_|dTcMqohEPa{=HTck0Gprm$bn6nq&gkCgXB|`@LInKZX1rQKP#5muhy=lmU{dsCRWuDu%KoWfvK1}ii?W_&I_%=eSlt-4wVLk$6Q2ggl|Q*E21SH>}@x`wPHa*W>AL)4C(IKpqe6p
z0+75o(y0n2uKI_c(!0G@bo1DZ+y*2XYDlj9aLZ5rA|<7!3~9+VsITd7^z{W`OKV$f
zg~tj&Mtu6&S}+5^`KQK1BF_`x;Yc-8Xl_0ByKv=-){GtiN`6RY>Tl}-i+tj$ocKD{
zWB7Ch$`0@D_L|+lfq^u~jvbS!w4DrvwW=21UeQQhN3e(tg5ZD`X1spADOaN)_8Ab;
z)WC+^ArOTfV}>2stOJSxKhFkG8QcP7Z~SX-?<%lrGBD)V0DEiaz4P$TAfwuHgn)$A
zi!k9AsHrV}?d(tkbN>mNWutvyi3wikNJ#YZs*b9EEf?EOOJsmrC<7!8LpxVEbQV1?
zU%lcj)GX+SK6w`SA5Qye<16k3g%E|!0R~afM^=?1N#K(PTK_3>?coBnP>SdG>igl<
z2)H9xBNA=yM5nun?j}d
z0AL~ph)Ja@z$$WVx_fSa7x)fxO9te-%C
z!Y3XjKye5KJ|F|u=@W35Wc4Hbrd_w7hMY4rG_1tyecsmf@TlPh-6R9n=JzGhSnK`0
z=_5hKB;hZVu3Ovg4Zwv~Pd*BVgl|4oSABt!(p0NRGXvn}r3!#ZY=SmW^n<@-ALuCol7ow%O)lQbCyLb5+yx`sHS8xlGS*cHiX2tf?%j&^V;K`2JR*hKG+ZTKLR1k{gq^o(_o&w|2^@bOyl+^q8
z?=ztwgRXCEsA*}v(X}=)$%LvOd}m~?JqqM>{c!j~$muA6JM6=FWJJB7WJa&Jh;6%r
zy+U12_1<^TB}%k7p<%EMM-=7E^;#xSmTDlM&pC+-00pq|>1rSYz^b{!;wP=_A|j(i
zVYeTTQQ2o;a2jUQgY%LgJKdL(LeeurXdq-&r5Y)Sc7xn`*S8_Ju-&|wb9e6)y_Y>(
z5Z49d>LA~gxvm*-88%D|iz#B#)6=74VzM9)SBc-`eZXyFh)nap@e@YPs@wTfb(|=-rXXA{GA&5$Re0<#VeQ`{US1LhD_J&3s
zfQ$XOZ?^!x&A8YcxEO2&pb>Mpl;vbidCnk=w2Bjvc;H*f$jN!$*+CkF^ql;g+-2S4
zuDMxr6^&su3M2eV&W3nqdlbi>eaTD22oRbU7lQ=$DNY-)g{GbVt_{zNZT<|V>dP#`=2858RF+P5N
zB9K}J9)WPLKk^~p7a7!#t)3W#!hp<@K^G{JZ&zw^{U=77RqSe41yQQ065c)3urd5f
z7(ssn4-oWD2-BtrT@VVYa$qdCem;~WH=%p*A-*O5GY&um0e*3^>g4%|Km;fw*ew82
zuzwFPs)2K+X`TrTA&+7?BL^2ZUD#nPPX|b;<{+zNK;^EffDBs%J+YkXRGl^OT%}g2
z&;=>i!L8mMRfhb8s2ors*MII1DtIAp4Q4A0f(~8xh8FpR^Lx_j(x9{yartuBwJAa<
zjQuX8mgbYpOiZj0_z+VF&Yj%q1y=)5B?cW}h?aUmv>-iulms)+O3}9yX=^_e)j{69WgU#AxEgBeHtPQB2;O_w6NzItg-l`DL
z6z=TO;a?=kA>gvlEHP|@6rpd=tC$`KlG0swXVYhh5v#@V9t`)46*OYd#B=@tmg=hr
zl8F3Dn1Skh@+tHgM^n5!3naeI5N%lAXoYWIPiALknuDZkYlAc)u$9!V3knILf!%-@
zf5T(}hy)=5fd6~;Y7r7#lN!8afHDR6m6@5DLQ8`PCMwMUGK#wB-*cw1LgxT{sH%=m
zf>kZpcLFG9ncDGqH1I41y5mSzc}9&~hXdr>YydgBkUY7RLkplWK!6j^Q!wHwS5VYm
zcinn72vW>J(oeIsBWMair}jLS2g9CmFe=y40P+Nh2-s2s5TNQ=aujwskQ|2*~VMbCaO}lBtkM=jlKzK0*}YB*h$vxJ-nbhC;zJB2v{0
z!I8D-Pw5O7AgSXL5YRv@MTOd>WRs0%y>tjyi)aqOTpdg8KcmkQm3NoCy7qg`BgznI;2@`@>Erh9zySXkulyXE7oC=X*i;4{1hMZRi60=~
z5KzLsJ9U4GOC=I;7QbCbeh!TP1>E;)!Vn;4Z@?2vleLvVU1Y$>sdnmsxa+j7tfhnX
z-FQ3#V~_)p|51}N;%rh~gP+Zn1(cn6wC;jU$J#}l?SZAAAZ;yZmYg($WZVgB=Nzp9Q{jZZJ
z4b-iHQG+t}h-t*M6vzk^2J$q}ifT8C0n4xdY+sIxfXWSywTrKa+uN?*IK79~E-n=%
zB_+Y32Ol+?Cj{<7lLx);o
zV?wtnNX01VkL4ac;)wiwW~Z7Up8i8?iqS2+3Nyvn)7d2bNKp}3S;%%%im*RPm|2e`
zaJjP3R!n@g5!8(=Mu_c@B1p!O#n2A8h7>`27Fm4ms-RN{U{#~YVuU;ov6-rKk1R%P
zjUhI`>qHg<564vj?JJ?q)(pg*HIXN3s;YX$z|;$ySsNRtbGWocFc3n)GK1sT0&3|V{D@l(S_
zj~MoI)}y!-eix`L*w4U_!AnS%*v|-slZ0H;ulSvcuTMr^AO*K;@pg1dazR<4Ue?ojRsnwW;;8#k
zHoWBGK#M3gQ%vXG%lvTsfC(k`m3GWUSi6|w#PAIkJxp}W?9hkqpot!%w&Z6nFEY;)
zIr2-y?_$ctenyY1iDTK*j#(PwFdU|byC)n{e$E{aVw-ESu|z9(2j9bFoXSirr4OI_vK&^DQ$9GmN}WXvxs{k^gkTY^ZrIj
zD#D#z8e`hh{Agadw>)hTj~}}UWM$uCWWM1f-{LB0RkjP*mwPCOnNgl$*|~e2l6v+G
zmW#e)HDnGPNAg1(orgpET=~^x4%8ymG^IZ(&-i$+P5BlTT(2~mJ}q8to+v8#(ut$(
z^^sR%iQ}2PZ^_M}Vu|p}zD&ZKLuTX7&P3%(|A{lx`+1GDq-XR9>(jb4Rb&pQ!gDNO
z^8~+oS4}Zzpk1vi7ADNSP$e~ncc7TVsFrNbrQ48IButVytnF7RO|OY+&Qzb!ZB_m+
z-J$84Z$-z?s_STCRr!zDV(0C0%m_7P7J2d29#v9Y@!lJzlL;Hm21Qfu>Xn9S8sZ5L
z9$|dMom5>Lixn+Ks{^(;IXZ06XlIJKt(#d(d-|>FlI)+$r>DOzYlia2GbOg51q-wV
zB@IXSyT~>-H2hL=oDD}^WRxpMO4V61|0)O#Q&6^z1!i+CMoWK1S>EWnYZsPOiHm#-qI#9FT
z@fg2gBetU43Pbd$G2cAEX3(s^H_bBr*5-a}_+`X^g$CCNZW6@P1wVdQn{PR>^UI>xwB_X5hl-;)nX^m}OOq3}
z?NsGrF{-6bH@F_LplVZBS?E*i{D(1y;R_*#;jA~>dNm?ScjBGd8CzHN4k_u;&pG>g
zITMGs3#ZIXE9vwr_4PHnt^O@giSd=V^{VKf+~M#_SBmN5oDJAJ!OQviX*Kzlxw?s?
zc-dh_?!s+KWIkhxqcO{TTF)0_sCn*p)l%caDc5vWw
z5svQ-peXUJ&rbm0JO?%3c~C*f0`&ZRo$`DtgA2bWlZsoM1AR&=`mcG4VgEu?>A!Z^ZuBW#xTmS{
z_qy7Hw*ok>wtTXjaYq0B%cdKS9N5YJx&)_BOna(RN!I0xJai;_?QkdD{~=1CYMsVy
zDk(lof_(%!KLy~oGyn|#_M?J`xeG!l#kC}KJUv*U5j!BcB>F4DnM6KkV*M@zBK9Bo}wg7p}Q1woamU@xTEy({&Y#r2}H*CxNMZ&Eg&)GKV
zwb6}m_Gc!|z~}=O41|IP*Fq!{Vnl~-9I6YxQti0TE5g?hY1;^okb8|B5#(ec|4wlS6!Fb8TA&ED0PcYUMO@l{5Y(ip>0{LaL2U}nNy{Q)S
zt_~j+wXA+Wfq^~>Rn9@m2GRtGUZSy>ysnjrI`9hd#WT^Vv@oPTgHUraA&1Dx;oS~HMbVu)G6il>_3fr
z!q+($B^2k+FC?q2tt}^6zaH^yS0r%#{EAt52OiHU6$rR2CMITH6xV{6jWjEK<9M43
zt+U{*%352~P$0=4k;K#>czwd`qpAjWWjzOgXfrooFAm
z)N8@Y^fLe?RCCa&XgHW%t4j?UBnZXJ^X=_+d^L+{kKQJBb;!ppI{n+uG^t#fet&-h
zJNP{#Pc$Ma<1^Xw-~wYb*wgt+9LslmGt6kw>pzJxsl(F(^fIP82^>vKdD_HVc-6(9
zH~F0w)UoU*b@f{X&PqwHNPG(xN!-k?X5gu5T4QpBFZqxz?A6~+lU^bN
zj?vNa+wErZ0eA799}Q*I6b+~AQp@*K3&7D^H=B?d8hW;UF}ip066s#z(~Zu(a!kx@
zv{6OJik0fi#ug%7WJ(N&RG>Uxb=VUO>ixav?mH;3rP!#@xa<-UYLk)uS;zO
zB*OtD1ccl!Z-p
zSsj-td89b_Nvnv`Sgu-Efrw)f4sp+!Q{VM3x;*Sdi2dV_3IHFlOJ$ML(Pvj*Pt
zL6{LnyzSerggk_v3iPXmnpVZey$wRZb#RSVE8;ERnqf&2l9z|hIdjx}m6&vTD0WFH
zuT`TT+vq%U6qA|PdFZ68a$A5OZ$sMqVZ~$16u*>Qdr@t3&=6IVcaIr=NOn&%V3gCn
ze(3mt`WGj=@_hqq3dL=c&b2R;U+uWxvEGZ5Q6cTI+9F2A>s(W|gna*9Z|nPH0g#H$
z-zP?gO~Kg*$FYjwTn1uW`@=4;QeL8^Edq}^yj{`euLpfN^lkd%=YyJw6Ca%5zzX6C
zv#JHlq4ZQH5T%M>7I&~|{rGVKj>-gl0@7R$cu0F2A?we|d)sR~w=2Laf>*(i6~PZ78(Dl|GLR$pnL)p(P47wC1H*n?(PA>A^NnvZ
z-3+*-MsDG$s3<<6OHgd|j(11tW+bRirUQtC)PcO2V
z0l%f96|~2U5^48c{$WLancCACFBUVD*(l>wSn#ls6WE))w$DvfiRxcsFJPF=Gy~5o
zuIZYrXy9E{9F~vF?-tM?NljU~fAZ%EOF?wj_|2*ca`{>X85h&EVq!vtx=h@&n)&<=
zkF4oof>-#Dko=5}6WO&DPaoO`zao{o^q-(9QJ
zAD8|1T3Pc0_Wl#8<{KtQz8mU7d=IBX&Cy@iE>QRvj{TYrV?LxaI$gGmYiHi0Q`tF0
z&!LM0YYa8C`Lkm`c|H*1+A}eTcMo@4ohq33Eu5QT#5NG`F%K_inR&M6S@dPq%kDSw
zA09QmctISwibG+5yL0K;e)&JBmvxC>qWE5KIE6?A2lwS_`WDBA#Ya82L3pVD`ROX+
znFIsq_x?M_+?0GyJufTuNTLq>vO6Q+!I4BOoRXcQkfGnq+Bog3jw_m))wF-q*|A(7
z8>8kHM4Fh2bJ;gUgqg99$_-n~1{
zyVJ|l1q6BTPSDUiI~%jwXmw!v3gPgN7w$n_8iZWgJ-POZCW`-<|7@G`4@}^
z8^`gYgl7sE%LkuL$ltMkoK9bRQ6y>~_N$_tgO%y6+jN36Q=WMgOoSPVY#{gq;0}?(SgVi_e@(x=V4Ob~E7AE}I~We2jk)MzzO%g5Btt
zr9ox7JVrIDgt#bT+-yxLVD(Sl=U_tWF9G(ChDA!gU*nS_v&nleT%92l1PU--R{OHw
zT7F8)N#S+fHUo4QZ6>NJso^?a-s+Y4`T`$%8$U!fw#Wh?nkQ05MbGGNg3*nQ?;~Uc
zs|y#7e(=suT7TPq$k}7L#zMikaO3ju;I=jNfAK}`1r8!!-aR{XD$KX<9=>nUy;or5
z^wOW>-*&vo0M5l%r02qTjpn~M@}()QO1?t*W4n``ezv)9OZ@rn{Iz0UisMfUEaMvI
z??`T9*hzIMDCw>@M;umYM>~aS6^N{fe^}8iF%*M#-oKDkGLk1$yeZxC%P|0hPVC)B
zNoyC<1Vi#Q%Q+@o4!5`SVO~^l>3{&U=sNpb2`}sWG)8B%35g9%(})k(=V14Su!|!JoMV)Ra1Sw@NtILEHki^Y$x;6eoZ9KetQ?#anaO8D2aVu5%MF#`c
zf8te{^+DC1ULzMXw6)Ji>L~8oXqFx?GNsOuWqPQZ6R47}&HJ#N{a}MZL9a|7H|gm-
z)sZ%`Pw`;mkltLN({f8>ZLNLTQYOh!(yyf1d}3HUKY|A7-<8rAEP
zPgX&xx`!Ak5L@-P-c;PZ7bmNUE>W3a4$A|o)MK?APbQ8w5}yNxI{VizH#j12`6bUQ
zhJrvNR>tvop$UFQT|oTM2BN70wZlT|K8*H9ollnQY#&ceDY|E4tS5D-c@Uo)BsrB<
zkUvJ;VYJb2?iW=s%#v#5@2Po%37=2(N*;~J7`64TWJHjZ9!_FocgqVIP;w6y@wHbk
zUbfiAM{JeDFZoDfw$1WjQ6Br2E{EgzgDSs~^Kx_qd>peD#PbyGGng`8uqxku#1fSh
z7#$feRCe39DjFBwF2D(Xo~*fFZMWjp**+Uqi;Q;k^uz+Pryi|7I@_r>wQcFw*w|%i
z2x=u@qJuT4a`VhCN$h3
zw}Jzo$13VlpBmCfaR@SsZKpE$W0sGeS2WcfrApYkC{Fch8mdk8>NYLjx5Exbj4q`L
z4Gnx<_6Qf=IQdIHi%9pZA#I83>M~He3CF+OH|CimG-OUO!fCvguQv@#MeMXZY_TOJ
zd?EW%{@X9_oYm%XH=925P0Z`pJ8ciuE`4=+zvA?MwafRQYn?y!=mal`aGV2PikqF?Zp9Pi
zPThOlyuAIxR`7-#^e&>$zW%GrQw;}3%fZ*#_5`LIe{MS-e3_HM52e`@yGDz$iaaRLou8p$hzq1(qENnoE5TH&9nHKKg67w
z+S9ZjS5@57v3uO3#DH?`LXPkEdTLLRI@vZnxY=98xYsVQ+JG4o{5p8>c4NVr;Vwo?
zVkQz3StNCHzcP#V0K5TF=X=2EADw%1E%;Wa8f8-#
zijIk3i^HRRNoQ})6y6nl`sg;VqpEDg)dP;>iAlji)Jm1q`0L*ZNLuZ9>Spa>@
z?@U~5%1ph
zCeklCQJGC8m(F|Be7qwJ5?9AN
z;DZnw>sX!p2I-_&%y6~;F}t?59%rJZ7&N(+Lbz{Z+c@{D#ML$5<*eF-eDokYhDlbY
zqG9U01f%(zZYUUn=(P$zm>U<%Z~X{|T_&O=_B572&fZmhWry
zz?x@mZaST#=6moz$R@BJu?h=+CMGQo=72|eIZW)kGDtGEHH$28q!KSc-#eeKdTXN#
zCiyZR{FXS_Brp$?!?B5p1<0u`u>RQVsvOFLW5;ZkM7CK)!RskA{dcF*7fM>%f**zs5-gaqWT?2to;`)jBUhKCge@A@EQ%AwAzn
zP$Rr8k;i7XVb;UskY{&KJ+NmRZTvQMZIRAaP+`?G=7Uo2G0#o)?ENkY?1yWhd3tez
zu;9lx?==|r;6W9+O{o?qxRBXhc+azjhoy9=x6JrbawgQQkaJCVX@$GyNXvIyEY6Voi}Aauz5@7zsL_D5CaP|cpnOIoMdlW?~NAcrLfl7x4(+e$q(L6OLrTc
zBVnZrEHpSC$Oo$stu#SME95=Ph+A-}A*u9Pd-il*SbtA}#bRU?#cUz54sK;;TP}WhyIQlUh%{>A0y$u^oMJm;d{o(tOj9GU{S7&!i=_N#-Ud*
zjEu64bfS5`C61%&yfC^oRiGscEy+lpUikCimLHg|B%r}u?_0Uh4#EUlde%v4+&{6|
zyl@`8L_o`!+t=!pBzUVc-)cJ=A^0CeTtvm#v+-KK8+U
zX*|BdP7>|;=WgCcGclPh)U^lcbZOnH!kNkOgqar
z(kjLpJp=`0SR=v;6r^X9SAo&~JKp<{+Fy?MJc+&FpKnus33JOe=B3r?x?hwE(*wfF
z_~EX~`{1H03u9Y9c^98o6sIU&B2hm1-~8|cUvBxn_tfUtlDI8Lx+c)a<74g{P31*u
z_aYe%4Z1FpD98S%M4>FSMRp%g9;nD%f8u#2I0`7%tJzp}fEJc$GF8C3n9K{wOCBQpaMsc<+zSbM
zy$b`qTFk?Ak5$G+Db#aRBUJeu>)ud+{onx{sezyQv3|99kBz;?vKhh&o!!)m{0kRY
zQ3*q}#r{R6l$Ma7uKgL<{J?bB+4>5Pa713~x|YLa(a#ekQ1@i&ow}!AOXA`&671tY
zffLPvpz?AJ&&~c%FFHi^Us`F3t4rDCXKXohc!-FBbLsc)WxWX%d2mIeme{Be6rF7K
z5QBYv8V{mOuEOfy@$zRCNJ;eQ{`=@4)aqdl4p%Gq&Y0ycj*sP7inKJL;eKZU#=0c1
zwvhf=5M>sSJr`aDG%juw{S?&?8U!lIa^ZFP@Ew+k+V*24_UHc_BI+2W;ej)!hN2YG
zkRA{|jah1nca2-XM-2Y^$m#L(H$JY4FTSpWy_kWG(4OJUG6C+PC^p=
zCjt6(rWjqJ`PomoDkra!-1b;}BCUd{pYc4{U3T2Weha&-UCE{S!Wz;1NoQ4sg?k(*9^B`wa!<_dG+C*0)|WU?OQTFW;)xGDk%{A`{j(MZ
zK=S)cBxlAoj%PvAjbn=UmKROHEY3qAV|D*Cez(^~S9HoZa!o-T?>?m{huQb?c9IRr
z_sG@f0)*p^*tq15{ka|;Tu*a9B^SA#AvyCS3~cyGZyV=xwrI7O)nf)d|B(0%Nd11G
zlwYfGa$v(~BVml^QL26|=xqbEKKYcgT8#feeG&sWbi)6nhH!Yu)xnfbjw=-p6N(EaLltilQ=X>{
z-%E@;Xwl{rjdVy}(zn^Jd_7G5#CE8yhsgQ~LRRbdWGQE7W@qQa!7k*XFwec=WB?$R
zQh*mZpq^NL`4BKx?U)14Xjlx8FJ_!d^F~=DRJt@4aP?WniZ^|2DFjo1M3m8$z{)7r
zf@|l4z?+DPilVr9@$0G+Y%#1bxat0r#B@x$;BcT5w1JjT=fPOxQ5@FkJrw|FK-O^M
zxWIlFeKkgTj1$yw$^(ao+hv7mcR5PuNk}5X>5vD5vEt#%aNn0{Xmm{Efr^B$8$Uty
z%{TG9#e~^7@vD$;%@|Pb#3S2WX-I>9rN4#cyVZ!;0w=9<;Vdm-Wl_+5-2^mMdm)Nc-r%uYsr)W*IvEZrx`@LWhlMoG
z&TyNcC}z}&@sIFG7tx7hb8DKK9T!=oO+);j}kaQG8c!r`mR
z@3@ICR!6Dol}&bz!r}Uz-xuMuqiupVG_!0z+H1hx
z5BP5+aLy*xkwQuH*Jj=7&mHkOWbTx&6(W8sl9}|UP)pFp!Ayu{TUqbV&eSWL4i}DI
zzOByCrli7fIHhvS9*-(t@Ur42wca;EC9ZgTdSI@4S7sd
zQ9O)GQ{PPw1
z9_f}{&T*2v@hY}x?PTaI3_Mo_5S8#XjlclJJOVx;Ho)T}kGcJSr+!{rnMcEwN%Rg+
zR=gT+5-grlJOOu-HL(@32kukkVOPlcVK|1N0_!qd?P!L0c~uS8s;K!*k*7(hgXi=z
zShnHe1#EDL9c*vg4qM0-A|@W_!i~%(x@S`5)w=2JmDg
zH~@$|$_hD&iBg5enF*c+G_dLpaw*o^Eb;eQn%ZR*Bn~)hokL~db`M67B0=Vg7vW8|I6;tvfM$0
z;keo-IqM#+!!Q5dbYMYbka-uCAUO4)2X@eYWas@px`UkN0{fs9JY@(uK^To!!@@Jr
zumpIz8|DAe*_X%VnD%eq#$d)+2BpwK%V;6lwaHRa(W;FKQBgK49@Rz
zKQ6dyMepHh^MH`B^`7Ux@t(%(cota8V-17W-)H6QfZ~g_WT;>ChYz{{zY>=|c@hNz
zf?5)Xrc$4hg~w$8O1w&`yIirDu`6CEBVXd;U~43#0JM>k=z#M;)U4A0ZDvFKNw9gL
z7T9H(U<*V8uyr4GF5-&=4~->mY3^itKZcrNVC|JU=q+sp-H`G#cXxMeQc`;Z$XYea
z=>ML&c?L5VDxc%lWcN9|P)dr7`**S7<1$2sd&?j_-kKd$Y9Y0}=m|9Zwd
zeCe)VzwPXq7<-zny$Y3ED3m%~I$&5a7wg5cNiM%V?y@x8
zEhctnbO>-tqC?`3zV8P}!310c=du{#Gt)KQ?yu7@~%!o2TTxe`iWxgg=Jg
zD%T`}tw>xO9LNVCS0{oq#Ij~igq!D)aTJo2JWK%v#|FDv!q>oEwYHuH{PaFFeyFWz
z@3&ro>IH*I`b^80^|g}6np6#+I1ZT&^?W%Bgyb#g{WP^<9Hz(oh;WJ9Y2zL~_4
zz_pA9xA{TA6exFQIOxP2CXpG)CF~=iO~5MSzkdC?v}~g6{OcnfLmB*gJ>8zD`g>}|
z6N0k1b|WA{?d1*V@bOS1+3!a-wWMVKt8iIj{fPy0oOhJ~@`Jy0g}T^Bb;k
zEy>N*RajcO&OZ*vq`;@d1QT)k!b}M+FLTfce(_I9H$h(Vwty1y?~(v+4c18$0zNwHd-3zOPVp
zC_DgQvE3t=)E1F#3mQWPIDELJw871>v5?|g_B*8OhPV@Rjv_vrf(YP+;RI&d-
zTGB^6?=JvOk14v_cQzR-xra0=`G?$kaJBfIpyCZ?IK_ASCK)H5<6zx>IN`&78mOz0
zIoxZZ69^`(9g~{@kx_L>v%w}ML+8>Q(oqSTao&IdM;KtALUjx7dy&ubCStZi-0TwgB1Am`vZw9`uk7WznH7IJ-YvBrWPUIT{Yy`3pzb>c
zjmuSMGrwK&P6eaaw)M^5X`!;iwNP^0V&AP#FCL7Om4Fz75*P`)(hlY(M6N8|pN5GR
zor`Pn@jO8uLCH%2F&K1O05yoEfEh^al@iv`SUY}T$`9Ta|C?!r3a;`vwyuFPsyf7N
z)igAiN_e3E?gBCCjq}t%_-~RVbZHD>$YM|l1)JBmiXVT*G)@2%k$-P!Xi)m5Ww0W>
zNJ?O%K0Cw3uc`7%9T*=GVBTm_DHjE13WV~oF__|_XFp4-#uC9`u^zlcy+aE(@k@z#
zav7qhq(236NHqx|5WEjIAuHpZ+>-Ph#}dlLBcd-np{{NOB1&aHkf;MfLWaxpkPwiR
zk2KR`NH>8kUrE|A5V}IQNGHd~$A`F@3wd|yL$tKd$W5p$-s=n{>V9k-uY9$zVjc>=
zS!3&01HmAmh`8@P?w?-~G?>}tFR}3gH1BRdrwxR+XPq+ueBihon&v+@2^2>Hz#TWo6T#1bBJX08
zzZ!rSsQKY;FgP54fEi3@8Esln*!#Y;=D`tSASS?u5JNKKZRY9!AQVOZCJPU696~OG
zC^jd8+vM6k4ZaII046}fEk32aWyVLGUYwPR0MIrYB(mIKdJEFW>N2e$gX!9>tgJj>
zxeY(6Z|=KN2Rc_Ac=rb>)dGDx8iW~AW1Z1@l&08)q4aU#_PPjghz4>uX68npYEBsL
z$i7E1Oo
z*#1660Cf(MAB@naXNHIY$%z0F3r`YDMwsLoAf01VV_@&V49PB(zzwr4S@P}E6ezYt
ziL9|h6b{Zw&y6azzhsxGw8gOJu$iQu9>`Q-I$-N!L{frnkPxUs+!T2G_I(Oe(3PeJ
zPTV`Z43}%r59+`k3=)U|#SAJ2)WtS;hGju$nDKV+nsn}pRYqJoMPmN$^;S4mTYP@_
zN@)_4%oasK#sxK`bX%Q9EJ*`$46lg%IC!oVY0l7GgAoqn*!=usdeK_tGEpSNE`BXH
zuhiYxUay;!+4FQfIbbu^*(HvoTLCX6WneVYD1|DAZc&;uR+>sY%uDd@H1PF|MM%5L
zw0HmRvtSkx8S!jZ^Kxh+sD>=X%>?}lX=>1iQ%WWwkT7^`+m7%~{kY4jI|LOy65;dC
zV26fFYxsg+-a_X2Qh(`M(!a6+_El6&tYTRlSXc$d0&CYQ0J`-S>Nr&?M`fWBKmxT8
z6~LzJw{!G;($T|)ZUlShIqf0K?@*zP*mB{d`Za)=O+oCZ&=U?chLjQ^T~dv}?hgbI
z?rhAx58Rgy76uvA1`=|SbR4`dU<&6%p(hHM{mrj=YlI~KnuAiNkRT3I8cZA=CR=z+
z`hX+gxv&xk)p4A^&KHLu1u5iEn+u74BDh-hlqhp-E)4E(@iBjS1-}-sG9~G8HmV`u
zejX;l0=R(NI?T_5A12$1JTm|~b4M=1TiJ~C9^YW>nrh+sdi-GsJJ={fGCUn?KxIjR
z_l!r|m?YYu4GbWLBTRoq*D?(}SAZ&7t|+w3`Lvi@k`#(Joct@bnX)PaU-Rel6X_;=
z*qR{I6N^F<$#N4)9NuzGUhlKt%sxDfT&sdi-KBgNX@abyB
z=7jAQ`L>T)k4HyE()UDAau-q8zkhc(^rW=m?-z0Hh=AlH39VNX@$#$s+eN%PlSoYs
zH6++e1hDaVCrwN&`u`p)UvvkPj=?a6za=M0sSqHhq#y;Vrz9Htq$bxjxO#XFx6>tN
z67{y>rbH8NugCperUV-6h;O4%KWZgILyEB=A(GgH5vdiy`Iv(ImT)8^nSwO34sT0w11IQ>{hFSD?
z|6(1zSFk+9l*B#LBSTOD;!Zk9VBoHmI;F{_lQIT)o(5<}YD1D?3pDj)M!sJ4i-so`
z0l62-!geyn(1(Ny#o-(~i^w@y!1Y6(B|Dvak%D_OIOS?Qr1Vha4GI2J!X|KKmZQC}
ze8@iAKcywo`@<(_ZSei1^90g4Y5xR%$Rahbys`E~iik)Md=kPQWGhfdBs~KZfLK9w
z7{`hg@#y?>IKHGhNyBq@!CU-rv<~)AP+l%tadH!T_D`bHYXvte2(OUvSn#Oqq!Bav
z@>f`HTLM_-KZnWk?%HV9QIdBL1Gv2%;uG)D4<}wYsn(L<3JI`hWTu|m2A*I4+>`%V
z)VU`?0mychxK!Q69#-`k{XTLA+Z|lzK280*7P+Kax5JZbbs!2vKp0*fNS3o*1p7p^
zsywKVoJ<=&JK<(^Tqu6^REB0iTU7LaQon<*d+VmG+MB$8|HtgU?u5}Xg9
z@D+4g3|A{jg-91k!XR7H0IZ2v3`7cmE`Z
zLdKJ%kefO>60r~CQBOqX90YNx2;}jk1uE$H6bwN#ye#?)R8F^AH|?(xNz|x!vO*kD
z1!Izoe={Y9AR&sPq)t*J5~qLhj-utx0T0AKf{G;PaCxFnfut84N1KBT9zn!3
zFZ%q!;7#&0Zi6y))bmW??np5f%@A}v>=cW|eA2n?_WP~WdUR1@8M-11Vs@UaE{?kp
z+I!#+%}CLQh84+AA{XE*gZQ>>OV_nRjRUe)HG-ju2yFokt%699KEz+_?jl4%K$thM
zb6P3;H3|iUUP2^#cuREJ9j(O!c1k#f7h~%8dLJj_?n}1Hu~VP)gy588VX_k7TmGph
z(-uA<5y1Yd_X1G0N^6Rv=LVMB_bq`}l8@&=VhjAuDi~MvU9_MK1xCX9^YYzm|PPh)z0d$Sx-l-=O_R(h#J$3Ye~=
zB&D?%e2;UEeVLw$gAEYbxbacJeh-MO-1?BUbF7s=4@Fku?hp?i4D{15^;9`UqB;LL
z1nTq%p8aSbND$3RWxtj3o1Gy#5Y|wsrF{w_rPx~{P~oLm6l`oXr0(ItO%Y><9iX$u
zvkj(?3PM<5EhxF;Rn-nj6ClaRL<`6VQD7McG2aaI`xpTmNRJH?VWjCFIF|MH
z?c4e5#J+cQ9BG;Wh*}FGa8(1@T$6U$*YvqW(KGqF5!Y<7+yRqN^HUdI-P3#DsS1+0
z6h{*(9q;&CC{m;^xYSp~ftE)&WS=p&CpI32oJYc0?$mKB=vf
z*ud#&99|NIp9$yhiXXp1bhW|3K@Hg&l&h-|Y*V?KM43zA6R4Gu
zEFgrJcfqe}95~u9~Sy!%JrJM^}GwQjw9*>1=h^#YLq1G%$uK;eJbn_oR
z6z{@x9vTLacFoPrtRh4r*}}h+IrJwYWW^542*fVK)6|8o8;ZYx9?9aI!7V!_9DlnNZk*61Ec=T>>YVV=r;tp~qUC$n`@#WmANT%F8=
z^gY;w=Il(ZUn#h6s@%?q8+VCZo9BtMpfz%5g=mO}C0
zfBzc)?$#YqVjd~b
z;iPhYH6{lEf=mG@c_WfEqaAtl@@Pzkrj2mVutTBjguG|Q^N#rLg|^PMxsGvkwZ~9i175^epTrfN1#jf;%>Zw6;+%RAF=V4mjL8R>L4m>zQwtdfhLUVb$FWF_
z!~Ba@xUsD;(uz6e%zB5?FyWr!e$Bi`J!Z
zjSduVP1r+#igSHv2b{t%l_1n5F5>GWCW2vxE>8}DR)OM4EJU1yAgIlkXQCork~9iV@|P(#csmu-xXfejq^%n3toyhCLRCkR9Uh?cnmhg(4-DsqoVpR!MR%
zl{Qh5ulWIyJ(3Bmu>;6~D%0np?TSYEzXe!_y7B!q$;SSS(oyDh@meb(i%fPk_>~Ds
zxsJh3BqGObgLq}{Nf9hSuP-jz1+^WB5(LJ;ASPn@lP8fO`V|@VX*=o!OnghYk?;X1
z2xiq^M+{ran^!g&T}?#|WH0z{F-5c5^apTsjjY8$%CV#p>BUU%88jQ$qgV;;6h%K0Rki7)ZaNc$0rG}NdDmb4m*e)obmpAtdI0Ts%D
znd>4@Xh%7a6w#1^A)M_;VwBeGY80kf-l4K*%
zMCsFB$?@u&Wy#qLQD}UvSz|L!aqEV%j!OV3Nm@!DtS+>8iTr9FvvG*#i`nz*OPHbKZ_wPq?Kv!VeyB(Pug&$=$1j|_YAzCs+
zc1_tcO+rCU328xn+B6=P=9)+|pUbjnA_=6>Yp!r%RVUfAYcBjfhyC!DpcN^}i^JXw-KP)Q_8n
z@3FX?9eGy%EEDtrC&$M%})WsR9UU&!n&
zFF=Wk{0*c2(RN`i{0&;C_f6(3ho$>!y^9Iy5-Ns+za_BsJ{Mo=hKy-kXwk?G1mZ5%
zZAjKg`2V8l{ue!;9?ximbY5>0VECBxgpyT&mK;Ct(IB6&H3D|Lvw1|h~yYP;6v;iR;UW)z??rpOxrIH7qyB-*>d80Xr>
zZxcrQQ1b`efVa?k+zK^bq7hQ9JTLT4F_&V+o4%@b03;@?DkZzGuTo~an#TNk&Ts@gk)~=TCH?f`xHeiHA>ThTlKUTm1=8IIrX)W$RgPq_;c=sAO#7|HU
zrQSaK7gS&IPRr!HR6~lgAJuHio|Hs;218$L`1MJ6pEYJK-=h)x0Vx@BJU
z07ZPr{C;HjM@St}Qy0uc)S0&lVvzyDmQ!&1B$KZM$oDqskLs7dTaQY>xEgC`O}uh~
zwniHSxZWYI*Y`nw-T|rAO8g&a9v=J$2-I?t)q*7VlHJbKs9>1^gFwh8T
zWl*H`$Gu|6Cox6ktOc~mNDMM0
zr&U+!J4K}~#ewBl^sT)9Z!OY?8KiZ{5DNwx5!h40lrh+zo#dRmInPkwTHzXuh(Q91
zGjRd@9z6K(td5xx6ps-+aY=+B?cMyowNEwuahV8iIv!e6_&3Us7E&QevP)HjHx~;-
zCW4uFxH2c=G1R=zc&fqzdYIftI3Fa+Yro|=k4oN-4%-xkFMdUIea_Oa~h+H~I14sIR5+#|QiZa9Sp@nFV$4578C(tCQE
zWYP_8p82+$vd;RA2~49M!a_5bxm)x(%wcA1U;AgSIS&BtC&Ri40`W^oG%7P`=2!pZ
z?xU!dy&=WpZ*8X8t6)J2)fSzRl5y78XQt?uS(`7i5XnKwno!*ty{onHI`wz-yIBCD
z=3Qx)cN1J|b3?H`h35WSX_hrkR;ZDH*tu!rgB_9nOvx~|*-T7RgxC1-8g*zT<;1T4
z(ndaY*G6%sqMX_bdAE^{7h{1{2_}Cr9cIyt+i8^C?xE4LPo4FO{|^nUfa9fYAC+uQ
zUXTJb%W@X${)|5a<#Si2`D?d+TfFTeA@I}=FkOkurZctQPAY2P_JcOV^cBgo-a#QV
z{jk#7lS}D`kQi&RR|G<4php4Ftb1Jq;+mN!$cXUz6ngt!5?36+?^>s5-x#wnTLI<}
zuLEf2Ej(ggsFHhmxNNd|;O~$tVaA{{*A>b@MJ0lASRDh~zzj`c_S(i3$-wOEv6ioy
zdK<{qcqn4TjJN?i$r!%;Yj`!gRcV6f3Y;(z04<`Cu;a%_>heI&7mNL^VX(JyUS*W+#KdETJ(xcH7zs1R`=k|hrq2rV38XdTw*pTCi~
z9)&RT_emtb7yt)M^2h|ngy@`VoTK7xStM(ZSqG#n@b1}c#r(-1caPK}5+;dt0JgJt
zZA?y*yuf$RuS)37Xd_;aIrA+?=wm*ZHUv$N96>RHkB@KulOW@i;d9BbaTAke3V)(F
zC;IEmzDr=!$d%|vpxQix$jw8#;2=d2B8N6kBY;=8iAPD~pIUBb=AN-!GP9drF3$08
z10~3Ii{LvdY`b_CFhh+9FNa)Z8Cx^X_-$z-7igRP>mvsMb0QI}T2uP<=geQnmlRxO
z&PrqitP#CDeFW7=GXv2*T7}Hg1VjI47Q)}SlDon6?Id?@*etG_v3*=egzJMk9++{E@IYz#4fy{lZziwuO
zKU%-jIa4H$7PWllVV|cL0>co!(-F8t{2dWmEP8+EofO|;@`PyhW5F)j<{9CMc|{dD`!=%gBEb#+Vu@0DYb4^2Q+>iwt&29(Zjz@ia3IHK)a4NRfpTf`b{
zXc-~ap!rMn`vF~N2vwaMog+c-N$opfW=|=rROI~m>*B>h0+ftG8k+7&^u@n=T@Q4u
zsRA}1qC{1op+II$mxWeheH>Fp0KYnf9tTvZ*HR;g6+jg2V+9bdJZsUd16(=T;##4)
z(h9r)#R182_CZb@ce`!;?1x4_HEF;wx>Ft7-DOLaAdp9r>vhgpwe;NowCcgnXz9~o+DIXpl;tjl{&
ztN5-#HC9xrrmbrW4EL|X8FM6nc_`ucISuZ^7hSq$f<8QyrY;T;$+xl}w8n$>K#D2qm!0pMK&9C0lAA3CZ#;K*HE7=Zl{
z+ULJV5KJ`qt}w4oeUPgTX?tsKT(XU6$dp_tkE&G+aJ%>YPa5pB1qdQVhrCuQ-y&Z#
z_=f-rwXw|Qmv`{~D{ycu$MXj82i0B*duQ7E#@$9M4vu_RmKyePm}S=I`}pgKldK-8
zW>)B43a%Ja&KHMyk2D+f%$hjg8nM1k<7W%y6~2BCa}=%4JiOcC_VW2h`Ih8$FWN$~
z4TkomUOBWh_2~CaapuL#OP6LAR&@v(F3gs-S@pv7%#YbW3XT6-Sp4B<`|W>j^j)YZ
zRS>v4e0*M#{lrQ~)7QfiaVa|1Q#(|h^WL3n9qrxudf*acwGSJ-gYSvy?1uQ$2BS7-
zKIh5WvN4Xi2%$T%I_?MW4$j2w`OEVi?Gz5(5YL{yE2}pFw=FUB%zOL24W9QC30&&kO>w{hiS1hC_O7{+l?QT$?=U$5Mck9W_`&b}>W
zfA-9$C&IQ#`Q_hb^OwvUf6OUmCg+u6yLTQUANsbk3Y3hZ($cnuIrW#ewzqo#(zy??
zrcTU^vwf2P(XH#+u+QE1J0$13?rGS#`uh6TuC6ZU`giX%1N3`L8WXQ=
zu7!6h^HC
zzVD;QUd4QD5g5O7a>A`~s6?1cQ4CC4a
z9NiSX5%f&<$;nw*SRB&H`I(KeKhf7%@0O%oe0y7)J07yNyW1OO=s0gwl$NZ`d3he=
z-K{`R3hVFCtZmVk
zsC|c?yB!fb2>uV}&&(YaTpsJ=<8j=T^LytGhLAGzXE#&Z%^PHscgor>U>y5>p)y7A
z42IiMTF@rBqeqt?vG3W?CezDs(bR+`-lZ~OI{ftZ`If>y)vm?+j)rUCr3Er~r%~aL
z?(5fYi^qOi$c?Z~n2y5QZBIX8NZ6}o`_`&pvHxIR_4#>)3g5dsBez*CWgHV{{@%RD
z>pC_x#cmbB&JJPy#PH)lO{>Geu>~nY&-I43#=~!3-H(mLkm&ufkbCM;fZHG(mZOE<-`dA<)F)9g
z+-urtFs4eK;lgKC3LhyjICx8@FDJ-OVY0Q1`D1lj<~`G!qBgcG=oI}md??QQCk7kS
z0xZ2FefH1+p6w!dSrOMeX*C!O`DnUDxoure{8Quh&K@^X?3kap$$U_U*2OsuUwXc9
zmh+B=Gq0~f*XMi9EwMS-VUI6Z3$u0uH_NHSG;h0J-#u3pZr9^;{krLm
zsAZt+cqr0W{(7da9xs(n#l?L$_J_=62r*x*K<|%GtvEWyZd|k&0=;#$K0EJ7E@d!guYP^L{%QTy
zKG~G68^74=V%<;g=deb-LiI^nS`jn^xL!*S9B^vg%j@BDsq@4m*qy3M24lxUhwuTz
z50%UGmRE{ri`46A220|+p4^-5djzA8oJPx!dZ#!wi&|Akv^)oxlO4TUFN}?j^PbBn
zFfADmIW@h5!THJU%o=;lywb&Fe^O4
zu}`~DNAg0i?}uzpM~7$rMDvD?VEpu)oxTA@Y9j!1Xnx}KtWpVcEy*OUwujm=k+(Yz
zX=-l1|Hb+Krk0q-9(~h?DlvtJ0~g^pJkqq|?hIgkwqthZZHe^l0D&bf(+
zqB}=RRq^1MP!;vKzcuF=rfZpqpSVSXPsaJR_*j?6mF9LF%6{q4Hae`iGD(xZ54zUTE!G|wBrTT$jdQF0%q9o=Sb
zd&OTyPdre%mL|geK4FV)T>tS3(Vf$mm9E;-4{UT3-`)&L6FI4OOYk5aG{)YNhjjRH
z{DtU{A~0J*CkNrlbviJtqwWE+>wk5=>r^7~H}Id>!ZF^@6wiElDzg)VUy3n6fu?YR
z3+hE%u3a~`5N++oBVWd}w`|=iZ)Y*J4p}1Vti!%-5*=@PX5H&l((}
zr%^k@jP>fk?W3PnS6BCaTkO08Ov>ATtZTY0kzx}()c-0Z$oYHjgovwz>KX<0B*Q$(
z!$*!Zg7oK=oSaNUPq5dYL-9^Sp;6#{vcam*(9pg=7dx%CWm7Ri&Dg3^o}&o4c4JNc
zl&v&?%YAu0mo^}X_m^DR^YB7n!w7IKyl8HDf@rsEXxqw_D;uJCCr{_1Y$>lYf7GNx^q@(e)8>}Ix#tZp
z2R;kYDS5n3^pomUelR1`D9}Iyq8NdOM)5aJKqYPf3@l6FkCATs{8eD7T*n{*QQLLi
zR+#DW9J~@949hy*E|lx3>eR4I{pe9%*@W-y@)WyUsw1X4aA@A?szgJo9c=7u3
zk5rl>b^`6#_$bTy8}bG<)*XE+O}~b&kft=i=6x8QCWBMl=y`O)sQm&L^ZD^qAsCK{
zbZ-d|6CR)=t;ZDEgsRF598&h(Ue~XWjg3Wl11wyOcdQ|I#qSvNmQ2N&FVVEDJS5IH
zsuiV94j^^TNJD2BU+;y;tO))1hK&44i$hvkG2Vs3gF{0_s9)U6%ah^bqxJcK(L1=s
zx`
z@_6MK@hfnkL<+#@o%Mij@!EEVoUd>XM^5Ly)Qa!R#P{uuZmZ5-r*&PjWFrKAKRh;8
zwz09{tg=puj9i0lbQS&Qk*P)ynIyYEANneO9`9*L=^AU(Xc~T(zF4Bph8P7oa05sF
zh`jXRo4u7)RRNMq*Y@7@aS}iU>vxP~>v4X0XRB!P)3J7443D0*{*+jD>%9+H1odJF
zT5=)%R0+7g>?5X{Em&nYSZ;wbGL}+M326NIcwro|dx?pO(;v{BG(vW7_05&z4{V$h
z6{6fGd2eC)7Jkot8xSP%dWAKc{Qrzt+wx6v($lvkBqlD4YqZ$9b!&0g@FugW`pny6VfwKK%>dTr2DAd2|dNjA;*5e*Cxs79>8ZZxQAvJJi|LT5L3Z8-075#bN1z
zmz(MIkGu_f8X)<}7xRbeF90eu9-cqZU;YS?drm34GY3FFLo`g=0La~ys5;#E@#6=l
zg!M_M?(^Zww^#NThv3yZ#uSF=tbFM(sA($X^4j6F~aq`>#2jEwEJ
zPuBDR-oNvk`Ma$(`u>Q~;oyx?RVl+-K1OPA1`wZ*=taDBbK~0761XkZ@N)1#|Lc&T
zqj1dZkJpuZ=uDHBD0pMSQuYwyqp%32O=f6@2$31j&O~s?`S~a``|n=GWtKHkfPIl_
z*J;Mf{YD@~j$)@%M8f%tiOjLpa71&}@CfS+b9W$Z@|Q%OKl^3UyajBoTm_75n4f#t
zjgpd*8Va)*$6SJkT>eDr$+-(G0eWp19eM+=PS6%NIM-KiF{jXc371)R@a@mh6*5B8
zCq9b75HEP?Sg=d2WY&T!MV=hRK9>ihE&xfa`OhWa#o&@ZgD2#!ydiH3G@W7*aWXiM
znaFB4(aq&^#jCHT1&R`2yr#UQRNU~KM~6<3IW@G8;MtkC-|#%#`iUojF_l>0JT
zVb53oxN0LV_A@Rvo#;E-!SuxPjSCQ5BlY?JU)ulY#|QJ%el8e3A?Uf4eoawcMJ{>I
Hu`B-zjL)^P

literal 0
HcmV?d00001

diff --git a/_images/af7e2a301845c0184fd2c21753259d66931a356fbbc68bbd1c34a440d3469423.png b/_images/af7e2a301845c0184fd2c21753259d66931a356fbbc68bbd1c34a440d3469423.png
new file mode 100644
index 0000000000000000000000000000000000000000..cf5d5711b97ec9ee55b06ff9773936b74a838bb1
GIT binary patch
literal 37468
zcmbrm1yogQ_b$FkN$Kto=}sjT0cj8rr9lvols{|V<9VJr=Ze(UR3^lu#Y3S`gx6IRbx|nH9ux{~
z5Cxu!`a5&%i_K@O2fk4#lhL#!OoJ|)B3)fowJh&zXZP!FSD(?
zyNlZ;0RhK<-@xyD|E|CfJe)`HCAcmsx7<)DA`9eSw0yZ&b|_TBr|XIedfv~M$9xP2
z^?#gOUn?WLjMK@1!_ORn#~)$DUo+=qKi}}IMnCO#L!Mo7T2fMy0e^m~&8nK6y;Dta
za5eLre9nAc?l)`QYsXfM${#GqAEz>j_{$Bq??~=RiMVy$aIapFT~NVPAeLAB=Y@xD
zdGX($^oGi8mHzq5Ha%re#6Pc$)+`#5zhC`shN5h&f4_XsN89}K3B^8({+NG0@l%R7
z?VnGO$UM3x^3Nx-7T_W|)>Qn)^6`u^=GN9&YHDiktD`h``!e)XB|Mi6RoF?B1e~3n
zbA1jD4pPJ&Y3+v!v2NbH>A(B!E-|KpU2pnjFLOJ)$e`2XD&v~GoSey-csZpf92)RT
z+#5G;c>DTJAMZ^l8yg!RoNmrNPELOK^6I0O=4Ld~NK6cDI7YYv@9nogbNeQ$UD?=4
zah)a_O8TY6Rz6Lz@$wdr_Vx7iv}aw5cG;Z$)TyP80e>cpR1A%!lZZ;kBO&SMF{*N6
zfRFL=@u@L1dT+4SdamHXU5tGHZaLW$Qth#nJV5_?OZ9^Xq7)o|g^M%GUan-G!?rxW(eb=Os3WH+9kg@k(Ry}EA
zAG^ETVrWFPOHE~B=%sXp?sg_}QH$CV!zXp;jRlOWgJlDL%M)X&XUZ}-et#Ph8HsCY
zX<267Mfui#2rr&V?sb#bONV6MTcI+3yXLJA3G>YwWtW$iQK*H!%tu8CTX$#sawI1W)9Eui;bj2A7oZooA9IaC37*$q&Ca(Sdt_uQbY?
z>27L5l^9h8PTf1%88-7?tKSp!UN=X{ySNCRXOzx2R6pMMz*Oxrg`Sn2-SzygjSa`|
zy)_~@+vk_PH0?G93T|9f&yc3M?6u0fwWP0j=MMX?;nH{#HYLt>v)yCn9v*J)P({{|
z1d>y-D~gJGXgp3;l
zP0IOpt}pr6IUY7QH`@-sW>DAAn3|pr_1T(#nV+9OSXbpd5hw2Wy{V-IJvlk~XMgrN
z@VmtM7>3J~@N>2647TsiFT~@jYig!iiR2U&6ha0@LqpLK=UU&`2q`GwT3%V{uW`GJ
zY_*UwF=nx8J?+WKiJ*wc)mU0FRoM4eswUQ_9x-Kku6%#2np^F;LJLmxwbZQiuL*Ea
z<^+|ppwmE96Zn~+)2Jl4am(l^edWDjrHO_B*PUNOc*n<)5fO!N_>A674i?-ntoQXO
zm}zfsm-Jp|#wMiA;Y>jbe*gaRC9l;OuysyL;|14r#2~97U=3uov|Lfi)lJ%eGO~5*
z`l+ky!ILLs1cZcBzkWq6etE^l$ERVZ`Qx2qxkW4XXpP%Bu-Dezl^^}@9F0&-@QbOX
zrRe@_<)=J-Y|3#>pFa}^9PaXcIRY!r3OYRjL+W_v_@gZF*jGC6h&ug}M@y>6UA=iC
zT2UNRQ`3>kdsMO~`&JHPwG<+EdofXxmoLv89c)N1C`}6x<3Yp4C6+{SlLOfHo*7sJW|4jgyN@
zr!6WfDh%u%7ZnD_#XZe)^EJ7_Yhx~Ysr!nO_h%yngHHULM@Nm>u_1BXp
z;laTuv|yC{&!M8HkDoo`c`h4p8(e_Q(#onU{Z&;})#U7~US7?G3l~D8qoY6PTqnzI
zylG&NJUKbZ{MPY@0m5nQ;^p6wpyDqM~m{4`jU8<>wA}6d@gBLYie^W4p=)ImNwsa8OT0O^ply
zgXVKd78Eh0uNRxNMFu6LC>$Xnp(w-Kx6_!DRKtnnjrDbHo!S=bQ
zH#Rol5}ceWD{g0QtMC9D*YU?Y{bIY07#cQ1LqpCUDZkxfl>Ep$$7h{eVA|X$;?;>p
z0UY#UALE6BJ|qaQn7^V)pzKKz!YD5!USyq;DZ*{EIEa({P>eZ`A0?G8>
z#D(>i-y7!N|NXnAxA%O&?`;LhpSj2B@L!kHlYkgnF;%W0h?oT6$`Exw_VnocYBmNQ
zCo)PnekX@KsG_04w|AH+>56Vr>mHJwoy}@vYa0PM-pFnoQssl`Y0DT!8CnQbQ38;{
z+?Pjm=H^)<6|**R9l(MqPR-CZcirJHF-&r%j)CWh7{e4E&8;mGdivt+=dis6b-fWJY;Yt=P72@OInv?b
z;USUqT5)wXwc1nuYuQS%=9ZS|Y;0^PDJjhS{O5;D%>))Eo<~IF+k>}Lou`)!hIo60
zHKES^Bzj(&X66!{fyY5Xs|TaboMnHEN_0m&Q~X@l(-{Q96czD+VL!;v=R|-4O8dR%
z3YF|>kHkb+czAec&`*f&($dnC)6?iE#JLFw2n6r;(km(}TeU@y?9V@QcG+7s87#ha
zW3eN500KJPxwO2dX0O_*CfFi6vol#xMszg(9pTi@6*Y(us_~f)T0LD|ev5}myC<5O
zn%o-;R$AX@FwoJ>9UO|cD+3NarTzD{?HX!oq#!fuZ~DJ6K}Ru4d!wkRsB*8(Zb2+#
z#zCiNV9+0zkd!o>3+O6@eck%m&qhu~HS>rmQ2W#3^`he~pQPQ>()4tO-#bf>dY(yS
z=j31p*I75}7a6SY?C5tt6T3%A$!i#lhJg)u4+94mR{_x7(a{n2_Nf$rC;cbs>9KZS
z@+`p6U0hui02T~<`J!WJh$A0(GV;V@=!wVYCt`yY0|Nt)^~~?xD~doem8sp|J3XC5
zt$2I4Uzus@0gyy|{&?;5`*oX9ZZ#|KL9TWlw^R
zjt)uBWorL`fQ=41XVl}3`)3HGE@Z*f;K}$~K5qoMS4bZm
z?ya=~922u2^j@4O%7W~l@cel(X^`yhZ15;R?Uu2zdfoB&fLkTq<_X|1zMpE@e=WuZ
zM0|R3xE8+f&F%&O19Px>$VwJ~ZE|}HjH+G_Sb1bVjHi=0f7x@n2{Nb7D@}&5hYu|w
z2dKKebNChtzq48#$W`5VM8w2>tP3ey_CN
z!2aAQ#2O)&NqLB@#NZYkUrUUH{B|AMgWTQj-!Frh(XOGEHULm*d7_bti;FAj>+xTI
zkvdE?nAn*j+~&@muxAp^$=^dwNs!cw-~-ngrOJ{+2r|u^b6u_gu?c8|b9Be6iU$MU
z+;eh@18xJ{3LWS`cx2@D@QG}{z14h^_u`?Uq1v#2DQRhzBV`teWTy5Lqc+
z3%v{kOtSP>ADzGU0GklZ*X7qBm;c_F7kEZ{TO^rUz%e16IJ3Ao<>BtijW&efKsK
vc&woz4!neAp6A&lv%(I1vpf>|G{SGA$Icg6D`?hFp>>G@K$gkK?#WuT5`uZ
zZ|0g>TQM>Nc4_AOGUEYhPsK`%%Y&^x{_C$$d@6oG$ytLx!c6bLmg3;ywY*noMc5h-LgM43q;P;Nh$~749(kvZ
zw*sEbR*vuJOyaR{bc_wbIM>qAp=76-DI0*8jJKa(HiQ!#BBBpB%>r_F4TJ#In^@V~
zM*&|eXp?Xn#esyDRNfv<#m3BxLd@#}Q&0?05?
zgm?!F_0<41m#hOW<3Vns;BC3%;H|L6|Bu?DBi8mq1OV5c*Z-?>qr4Vv6UxjC&@q%b0#QFmNc34DRzyUoJlSrr
zO-@R}qNAg`V{IMzzyI-HElJPx|4R(|M?d1I$EMMu)r96Aq`t2JH813J0c7iwGq*;Mq@l<>vzivoSyQ$tftBM@9^nMd5n+QIof|f^7ZLKWKssSGfC^
z@TRMP4AI`e7CC<5FNcNRblZU(Tu80v&d%`=`dKetRPHxz1c6EN(xsNKUn!%h1e9D|
zh330cF(9s0*VbBsj-*=Zwew5A?&SAU)Ue+|y4U0M^pf4<*4Eak$;n`WhJAF@))E48zg2m$C%
zj(JVABf%Va0!kkIX54#*a4=s7!>zD{Sja^@N5p^D?2T-p7L}%Iu!faD!&`Bhuuc?7tHQG~I#2XfAUvG8BpLv`L
z3#0^q`P7mw%%fvtXef;|QJt6{-@aK473vEL3d+N-m0Pysf!a2Gda`zkLIGQAMS#HW
z@+|^}OXQ8GCzm%jH_LpsY#jW1dJiVop{)1?!%d$
z%e8-SfJ9v6_z`#r!PshjvN>NT8ymiAmT2*zkQ$#?3NWyts
zPukPV>uxh56#vAk?&Xm?^GB6t@NMOI#`YSw1((^6BuDG5L@9DXvRAHLLCMce>PIT-
z+N*OsK|^6G1S_&~?bK()0(U`V1H_7a_f`oZq@#k>IUZD0h=7?CZ2B7+8MS9-niM04
zl)#M~(p^N6P9O!~3JR13=vJ_XV9-leASsmYQe6NGF0_H0V)}DaEbQ!<
z2=6j9q$VXLE%V!RlJ;Ilfi6bjTMuGo)8HVvRY!~h$d^E{Luf>7%)v@k7mQKC4<2B|
zG0DaK{Ao)-Cr$u1g$OeMtsfwi1B|eFGkJA6Ev_Mj63!Fh16BDzkvl9;@3dBVez?Z?^OhEI%G#d_AFRxs<
z{wFd*xQ)xdRsjGQ;UhTb&vzgM#Mn3nESzVoZoLg;DiTssbfASK!pNy1udH8fD%}!t
z{`+MEGcR5+OG-*IgZYANtlhQ-q60*X8Q6IRU?P?29LTLBFMW|L%ASm;2?=PZvWkiu
zZFhuelwxVarQGJhf%bAsb+omEL0)a2f$-X?m54YX^4h+gRD%PmeRrA|J{+a;Oh+um
zhCt&HDdaaq4)5H))RoNlAT~C3x~r#0;|3SmpUaUXWE2Wtt3cKQSP>CUSScA9DAcEq<(mAuEMJ0%3-<_rLJ7Y`5pw$sBkxtzSb
zEWnY1!os1z6IMrS9)O@j49GRNAz6<*yt1-#fa>q7lj!(F_~xZD{#VT0Q|cyduI
z%W14ubq1t`D8P17XBVUrR;+A_Jj)4E}>ED=!a8
zO{D?SY2oZ#x=n9oWhE&k^%7#fWzN4V9}3R@Au?Qi>p@Hmf%~sP+}_^as8ZOq=u}Er
zm&{dSOk;KL7y%;XnbTe4_NR}sU4^EEFcm(J9D1yLr+@`%(-_tJiUHqv3|eQx9tRwD
zp=NcjpHP3*-Q;2TCLTEw_#L;tgDR!XT6GMMmq_CDJ0Hu~<)Y
zg;
z{f!w{i1W{-eMmvR9UP&=fIVV0Y4tGu7FjEU+-PB5M4NkMrnKzZ<`{vos=9K;B{6Q9
zco5hqK;Z2FRQm|lYzbi6cDzn1nct)^r2^!2s6DU%KZL}<$sB9gsxwN31=UZK!AQ-RJZJqb`_g{xd#tP1PQS*5)(3I(}A3x|&
zE?e^&|CP|jeV6!(q5J|Ru&*jkh!NICEY-cSI;&CY-I=AZa}V^PrlD#6s4`A3@Z{6y
zDrYk&WnEw70bvX&7QKAQ62~YL1x)u$ZimXn=Q4|{01of*%5jgqvF;)!CPwk_@Iat2
zZwf|>h>X;Up`xIe%8r-4f>a|dEYKjnAkyF7+60x*J=nZs5P81+iO<{)-7#X98ne8H%|vsQ^%hVVyTZ^gyyhYIn95{1$DH{PuMFrIQg0bRK+y6atE0X5TI+x`F*!4nopkiG
zp!E@v6@XLV{Nb6IOyCyaS-}99P{9!YkzHfC`tSvKvF%u`7~&jZj~=nHuqezf12NgA
z8uqdN5RF1i_nL@=k*G%{*B6%Zz}MpIUKKAi1if^l+L7g#NQ^
zu_y+R=iwh*%7=X4v#;l$l74Yz=fTB)h=j>=2TKGITgl*P1cXQ=(0TQj9`q;r8vQ$BL7j^jd1`8CO@T4RPsMY`$i>Z@7
zNEJrVx3sq)s5I*k;Ieaa6op=um1!e(r!p)fRiQR!v3GOT#vI~tgvO_V`!+dhf7~KV
zwaTW4_RgI3eIiuq
zL3>KYjPUkRprS7pRE?2fleB8x80_usz5bLOHY@@Olngd~@BJk(;1p_P5>(p}GIsVF
zpi|D)?G!szky^O1)BJCz#bRts9cygwt6zvL_s=`$J08xZIa}Ejzf@Nl-cU#W;47qn
zT78Hn6olrp7@W%YxlCg6JLzMUw%$0z!&rD4aqc=v^A5Y!O57jR7QYm{R7Yj`3Tfvk
zc7DbYjP3ZewtX*5?NZ9Z&@@KiHg8-2gsur3H%~K9I!9R*IAT
z)lA;~zCmi{%z`~ekc3gs1^pz~^gZ3P1f;X5TZ%#Fi`rvTWol$%VH*A%+6gEZAux<`
zfyD{K7h%E22^mHa2}@U8xPD4$?+$VaVwy9HPJTB?wj}p
zVwZUp`UhTE0tgIAuMA*dr5hl4EHg7RAU&|hlh2$R3bv);cJuB15>0|F?p<}+$=Iy5
zR;TkqqRWmH1eX!1Ts}zTZxbwsT0Bfs|3u-!)rSSAvl~8p0_b}!JTgdKh}Wc+T<&Nc
z1Jr>cVL(A~5X#H}{#N_$a8vT#4#UEyGzYkrlz|UBqOU>p22aqzQSkLeYwmWr)y3HM
zV>+vex1RadT>5Q%xk@7?Wb@g-zFz^`x6}RNL$``lQfP0TeRgp!x9Dx
z(64$-MzSnql>TDP*k3glwm{D9j5#wK-K3|lza7l2LuZ2}RGT8AqI9F6Ld*aq!W&Vb
zYM%#3gd%Cbp)43Jd&A+PkN4rzt?C12Wv+&tMgfkur98R@mqM57g#XT*so(591Et)5
zenvx}-s$ngDOWp|g7!h8;pe7QIwX8mvggfBubB1C>}DHZQ)fj>CUOYXag=UTQ@;rZ
zZ1d-U3m?{ZNld(tx7pm!L<&lX7V5S7ob_wI4%>4nHzm7qpn{WgbI6gz&R>P^ovz;E
zJa;vSP|5Ok1}jGb%8YQg^|OJ8Vz>IE|9ma?aB{F(#hV@vyYquiFZYE2@w
zoi^E{^{Yn^7YyIr!G%I@x!o6zqy3rq6dAvFN^Xe!;5zF2IJPPXx1)ah6_yAF?)un|
z6Y9|x{kCp*0!UgNe@^c&m0+}cs4oMhb~gnp(Xfk?`-aOds3mh&&H+cH4>~!xc(Ol3
zBL2oVSUz?O7_{XmVefmmtGRC%Ua++B4MXD0zYSr9iR+i+g*;oa?odec
zrKHl(Sste(+x~cw7m=#t(eiK1)2De^^+gcgHcOt&X-UcPa70iX6|%E@tvjZW?(8NC
zL+(1WWxd)Dfb%N6-8B5v=q)bDH|3zv
zm45-DLM0yP6f_9XLwyoHB}725??c0UIx7T%Ht^T7%1V9SO8{(C=r3m75b{xz#EZ6$
zN-3!kdZ&(~IP+bc)yBZ%Oz|^bINQXW58$!S)6+>Hw?b7aB3(1d>fSwk5VXs`FvDGa
zjWbs3cw0iHqqpgPIXyibH!zbLhw1J;5|N_s|Evq)_&E#EAThbP`04BM0yQ07MJuw_
zJC9y-SaiI@A@9nd?6$wHTJE9C3}FwvL;}2|w)6I%HRusSX$1rby)%U{f_&GkAwKno
zz{}ax(A4Zoa-)ltO2@a8!F-IWd%ygr6;P$f)2uG~+hzWlR9_ln2X*-Nd)|X@i3NnR
z?*6BF@b=bSTUOcc0az^}SR%u;HY4H%Vx!C5?P@Xq)fSjw;DFokKxzvw=EEn;41Kt#!p|*cb%C1}MqSItikY%FfxTe8=fF<)XUoNZlwe9<7fe3;)iB2vV
zCfdX)-J`X*cCPjSlj3sgE6nzWDG`Y@I^X_tTS=^wBn&&q{%7i2+
zxkR%5rWN3c5!|uR+ULnh+nCXiOYS^nilH!rZtmC_O0$T4X28gM@^x`SgWJz#m2HeV
z=6V;^dLm|?teecD;0M3ZKe6593gToKm$}dPNaE-rfkog*GhwDa`%&bzio@w~!
zJ*>VLE(oKYRvmJ`dvt-j-E6BkvNGGKWpG40r#pf>?qA?gSVo!}EOnXR%BxK#cYkU8
zyrE2%6uwPP#lO9rS$JIh2^RC2PhBTB19H6q9PYb%yQNUmz$Ww;{fYg^(mPA?6(8=s
zyEdtP=Z$Wi7uj8Zi9x20hrB5XPXG0$+!xiDU#gTQZS|sb>lz#J8+^Kml;Ay#=Kn^7
zPTt0R%p32*W)!QAn
zxx6Xo`xn$Rq5RC-yH>gT`<@=0Y#Wc{gIpanuA
zH&(?bhNW_IC0~uftZyI=2m)-yJa=veI1TV#C1^!Sc=7}T1q~(bP`E2MZ$>w+^CkhJ
zr37^(=sdV+^BwU4cnw`qaw1WBjjy11rB>I!V~KEmgKivl)0E7^Zyq|bk{HinVL@*S
z+SJq(BGiG>;R5t9R|>%~w=3<#!@@9uIVwL}L>8$-0}XTp$aUP^MM0MO3@vW{2Xjwt
zN6KDW_5yX>=n`l|q%WvpLzxBh==iu@EiED77cfdwZt;ugtb!_yT`R4@px
zZvlruX@E-T2BkKbsfEsu2-jZrhDyZE?|Iu{xI?`&tPcBs*P0ra~xMHLD
zdjSfJE-o%ja5zX&H@Eypm2)=8S#ztRU4NuZgrFtyiit3_4u?-F*}v00dNMAXvVU79
z;SK9R1NRp@aR6w>HTSWgk&efs4oX8H7lf;Gv_fHHsG+ycXA6oTFZWf|)d%%DA!4@z
zauf9KsnG>E=rZSoja@4BXe5!B@2*l#X6KviN$cwD;0Tp1sL-tMmNtV4_5D74W3Du$
znZ%ifG(kbL#)n94gC{MKmZ-&I6_{MncmisJ^OZU^0EAm}nJV#!5DU
z8~6*>^Hf&7ab2T@*SDiUW-7i_@fixz08px1N-F?PkBp3PHjIvrato=kveq6-QaPWJ
z#_T_mQr*aP7H|G3&N$6}jh$5osRWus8GfYRPXbY=Ydw|EwYy*qNmHv$uDf}?vRS3`tglw)JH|J^*thJw@bAvUT1-aEP9ziT2=
zXcG3}3iZn|)I>x?8Ek-QleodOUT)aU`NqYjmOp&MGGHd~LkESjv$I3`S3s#nLqVq<
z3I*5zbkWEslF*q=`s8^y$x`Ts;CpQn5%I*yM;1LBN>(TI9EGG*Xn<$zZo5Vj(Dk-u
zcS*b=-Wzq)7Wh)1ko^!0*6iNbVg+#2OCG;4@7}%JJ`Ab^h1>4hL_E|lUINEO1w$il
z)~yPgeJEeIt3Hd!{~l4B8EJ7Z3Ezg}A-17N78bsZ;wc-+c3lz=s4wE;;?NvEsgVXT
zO7G{2DDMbejS`*Op5L)d<=Djz7a_RHHSZgWG=0c&AOk(Y?z{eXx85^@d%D(d08
z+y7*?v{BTL27wmmVS;rZE6#ARZXbPblRv5)}48gk@Vt^6c*e93RgjDfcE`I-7_2KSu01H_#
zAQvlzU+R)-vkT8J;Cgx&xsV(gJFX8I1+L$JJK*^niMF&Po|g%&9$ZNoY-7vZyzj~A-B?7$o7;K1_(X->`<QxqBGz4j=yh{3r=}`YTxb(a-TSa0?N{GkG`mNIr+n;TY$#9=~
z$IoM~x6e+r=&W~3y%x9W7!hV6)-ZNdME3D4m%AG%wpj6wP(^<9D>M?ick8-P<5QyF
zhwojUU4R?XSNo8qE4Z^4&B^O?Td<-+usInw#CEpD=uxEU!?XL5vXcrobd{tH3gak@
zp`ld~%!@rI`*R-m-VG~~H^>YL>BQ7WcJ&F`5X;mT5kqeir}rX5mYXhevz@K~ZX&Fo
zNTV$(C<_#W9AU;u9gNH!X9A|Xf%lQh!q9L?*WO0+t{SILp834_h4!!4OZuCdb=$fl
z-0_hDat;~)#XPI21{LFmXD@{fz6@Y)`TjOH-}*ipg=jQG-!mfK@2~fDdFPp8L+#ul
zeUR4U-tCB|)CuR$m`mZ?4^rX#zf=g`nWzLabH>xC1ot~i3syX%a_Fw6I8(r@7%U=F
z-Y-QBq!qj?p*it>^*7K}Q9eVl`hTf&m@9j;CNo8K%;>(e6fd=kzJNgs*`(^MdhAGe
zz3FtNrjWeI>TX=g6ZEOu53oeCqRwDS;d3Bl`*)n#`7h)Z#eBP!GC7kmPCYtGfsOrV
z{cjgX9sO%h({ziSH1HkL$#L$|i6D6?05MXXq=W>cu+sQ8bG45QNhK+yxPro;87kgO
zgvCl#St2+9t*Q3ZX=LMGat!+J=WLM5-?00xBx_o
z(9Oz!`=P|cx9&3r>TvK`cZ+{Zoac$};BKdtGP3GwlOMSSa2u|D2JICSKv;B+@37oD
z_@R0;3uCh+rS^p9uAUprQ}5G
z`5`Y{OU$|EO7|3#Vowd=?;X~2R8v2)T}Rwc#8opUqH)b_gX!iQrh2v{5FD+_@&tF^
z{Z#CT(qEZtJTF7$YrG?%`xASu9NZ&`Xb6T%#F)#C{!E#t9t=cp^r|eyUpvP3{gzPL
zx+JFf5z+SYe?9qx**)P$@q?fJ5B4`xt_(|!e5sPU_;^PqxchKZ&geag?1V&uX@KVJ
zRFsfn6gULtgz62N3Q*pjGZG3(e@-_NLgL9FX98}@`z<_Ale!}Ewb3%luQ3j2H>@bT
zJK48nA15$-Qsz8BPD}bC6urC^Iu5--@JCVG!+T*rytj+
z;<`q>78`WyisIP(qHNNKHYWEZOY}vc|thw!@JTRL=D&&ZMCXK1|bi6ubbKUJ=OA_KK
zAdy{O4NoW;v$*pSixJMKKN_-!V8GHf`bbrssJ$(>=1!JCV=WRp5+pk4Sx8~E?@#R$
z7R$NeU%LPi?woj0tWUkac30G&{V?S~C`wRc#7uvI>PAS9{Y+8SkvAo8Lh_k&&vD?O
zpTEXo^{JVY-FmhtM#BAV3#1tm!#>lnW#o+AwE}f;IULWog2IqA?Of&FIuN2^D9A>N
zc6NRKD#klAUyg_MDBV%!Tw*QVPNvjj9Sj|#m*nC8^*Cz6+f#rNEjV#Ac?hwVolo9&
zCcuClR6Ns&ldd~i2nAkp#c0gn58$y03Zm*>o5MJF@5Z0dI-v0ltDTyOJPN<+OX9TE
z58ufz4YAA#W#&rklxLe44oFaLShsA}oP0HRp&-WZlHqj4No;?f?4R(Eq-+yN(&1Dc
z9F4oEy5V(cu(d7&NC!#enXah2wA)J0d&!0Hq7`F)%&ipa=?AY(sekl7__K4JTx?Z1
z*$?<9?^^<6xxMf^WvreBpo2c@EH1N_mSIADwW;rw)5|i&JmK+I1tPMGV>p`Pe
zb)Rkf1TcsgW2(@fv%I8wOsHTC9Kb(NfJyzAwpLDYgbD*?
zPyTnnk^(!#Zdt$h!CvGtYa@p)I%kz3Yb)i@+|Ti1s~$;0r+wm)ghsfu6EZw+CpVx
zCvUeJ|FP)pu9Zhp$O`sOz1|6D)rxDrW)A(c)7G
zCw)V5u`q|2aMN}#pgm5n;>P
zL~@sk76tiJ^Rb|f{V8wy&1i_7o;$8>uL9_rd*c4sCwJFQjyhr@|LCPf%5UYXl;S|D
z)4)a7K6>jNdF0M4L=HlyoN?SwEaY$ouAa8bG`%`}U0`f?9_8d|V>mcWW#V6Liy)ao
z^@KfP0Jk^;XX+^%#*y$FtV@1d)C47J_2-w<(PyRI4)hf`${Khk2MDOkuwB+k1mp@g
z&%T)LI*rf%(WJ+bhuC%N?zWGp8<&SZfVBVj{a$#Vm=f2&boFtnS#iYmSb{Pqb+x+r
zTWW3Hg$094O%EC61C13It1s!HrhBu>{uCPIUc8-?LlZ=tGY?^a^w+#`I?^jfUDC`j_%p%
z%=C_VM_?VYx^9L1GU)#P4tAlB$|QiEdFo0qIA8ui_^9uhB)ipp?kOVRN;XiSOD`*S
z7t_9{<5*+oi9VzX@tfKd>5Vw+O-+bX1&^Q#GW!5vPQOE)fNMC<=n+=@JJ
zT3J?|De&v->>2K0)sSL1L_HCI^zz02BH!HCJf#s~Az}arpiKrB&u;egsST^p<{X}V
z7t4aPY)eZ(LWEk60gYR^P
zABn^gVJ##D8RH?$odNYl#2o1Kl~-4f8K4KC0n$cwb#)VTnj)ixP_|L*Oo_;MIH^gF
z`P3NBL(#p=r(U*_{*^Z+lIsv{eZkgzLGp!UqkrGdYIf>#l{3v(FP!4($FeDP=~{m`
zJU@Yg43n=73L5k$FE9X=5W10x6Ori*xk5L;`ZIAtSb(JOHYbdu_1F7(&CW{Kzr6#E
z_=Yw2FCZNxFv!sYePU1$zY0Td5vgP(1$)Cu?COWdtWm0%*NT&q$b;&>(2i?<1#61M
z4Xu0c;K58>S$fpxg%oCV4tx?!C!GyJm;aYG-Wf7uOfS|bf1$;;ZQs%>%vzWRN|rjnsPZaA;)|Z>C{kVR3SDYD@Qa
zcMmR`g+~0OIpiN}?Ou7x>~~w>!IMg^cba&L^|zC!FBqg-%b`xvu#6{4FWKB=`lyM9
zrynn-b5_#9uFl{P8?jST)N7ai$lX*dCool#*;ho~9YesLGFr}fa$LsdE8$@SeT?qV
zvUMhXokt!Rj3YnGKl#d_5KAPI<+BC9pcr+EH-U?t!S8$3qUSnJF(mhGWz7a|EhAZiHA?Ny
zz6?8>8B?T!L11~O_cPyJL*XVWLi%C^8Rk#_50Qr&_4qk&ux^{iVq0B
zelfU|4qb|CGi8vLx>C8}!V@O>FKS3)*24;$xZWCCKTMpIQ#
zxHOpEdu?133Uhk-F*2ua8pN2Da!Y5zOo7sUc98v?7o4q{W#{l!rI*jj0Z7tJ)EB#e
z(^NUuWL6PUCpsq-$+G_ak^Cd6;Dk?ZR-{coQ%^lpzN5e96U*RVJcpz(#cjd&C^N>W
zj=1&r+*Y8z#5ga6?7jDG*6m~(re(tsR7#kBN%1D6P5Zzy>Y8fSO>wIZ0;IzKN-Ogr
zOvAIT&dy@WkGswJb6mFrssAw6*O{qt|WiN`0ACE
z86;#**jK|`$P8Ts$O2#-7wJU?e@g0r7CEFAL@(n@-jnvJ?->^_ZyP9-NCh`4L6{_=
zMc|c_<+qo%xhYSxF9c?e&{h_YY!r%7tiW2>5tMIt>;FL8dGhjLCF0wtO_4w4`31Cc
zMG9f0odO1vVP59}JXKNJ2rxfNOrnA(oHqcJugOSRy4BUNrh>*8FKEHTQG71)%@(3*LpRiaC7)_wmZ7
zT|`fCH1udhL?4^0(-HZ9?jie{*TH({W)BW}nOD^B&~Ic1G)?0LO*u25R{Cm?E!DyJ
z3JL{^RSr23%;-Q(91R6c7}rcq8S^yLqo7ljO;C_nIgUOgiQ>IOq{<=Ke$|KRvR@OD
zx!zB{i|;#L;TcJ*cy^t~bkM}coPCYo&r$q+mkLj(vFO&`-XnNS!1{6$OP{weM}mqr
z3<%ocl9DXeLb+t+Wu)PTmMA22y$%d%`$+)DQ!@^HS3HLX#{_*Y-nuo~h%<`65K^8q
zELz@sWAAof<0{hGW80s#nWLttw+JhV3bHJlpVi2%ZhXck9_x%nClZ)nKq2sp-_3z{
zjo)qeOQ5NqV^WPRjFFfvIyXR=SRSvZ>+kPJ#_d59st%*oBrx2*f3(%t4`a8`0$%2k8BtjLAJL>~tA`Ss
z)ZCqpsC#+7U5l?$g9F1U9rb#Zdtz&IKT{;;Gv(;^_@D;AnR|q=nDEQ%+NriY8}MV_zmu?mm<;>EN6JSh<7VMwYCIvP~@(kRHuU%YrBzac4dW5@FnE2~CC-O~`L
zgHG#O)^?^qxmOn2NSb?0EXl?3mMo0p0a*g*FQ3lcsq33n*rr7Cua<30RTISE@F73W1lB%BfNg8q|=)B<|
z`ewV%bf8{Tr;YwsPRQP*4L*AQ7D`d~L~nvXV?9eb1^Vd->3wBuo;*c#=)L{0yh>Haw!%=+dPMJ4g*25?v4yv*IC>+>
zYsa-oi!JS{eOqX1N7?%rclD%iFJ%6%p1>TP4vpVQ@bbkfi6k3%Za|9Iz2s?E8ygO!
zDj{);mGz_1Z!eR&=($H(8=SAStw$$%DAhmvQwloLq1yl{?L_6E3DY
zirzoC=QzZFNR5_U-ElV4eKQLiKzhBl9xDO`T-H_p(mf(HyI4&7l>nq@C^-_|d3Cb3
z{05`Y3fZ#4?rRk=>^qh2HI6(H17>}8T56yz+qCAdv(9Hw%%QZN91c?25BZ5R*0;wQg(}mj#=llvWKo8*<=k2l^9XM^csv_AZ?37jV}~K
zpHGIub)SSl`>G>JAZTbP`yXjj%O6UkpOY+RL8F?#pD5+CzKMs$ATD1Dxwwiveo`1{sv+R>vfDZTck2-r8WEM>3yuLa)HlHgb8Qbc`BIk!v+b{t
zElE4VBUmCj3y~UfU}J>UaMCcLGe|R~*b?C+_%>-e`n6pRj_7xe)>_UzyVTT8ML(sm
z9V6_O*8btc)87j>h5j!Rns@H3Jd|}H%4)UA@E%{LC92RTN_75Z|KP$gU29*D!Qm%;
zDq$Lzt?HxVH`PHXg&rDpY^7i=GoSMA?BgzcGg92B_3gSEUc;7wO6v<8ntD5SmS?9m
zOO<54={zM#aVXDqVt{{>muZmv;V6yv!H9{H?{re1sNX<--fB!a6_i~FQAqot>IRG-
zAdhT8A+wgVb8{BZ_lwj$(J?SwVK@f(0Ze4WfEh*l^GGZ|HWFVW51zc(RH6BXe&VYb
zzg(JgxuoKQBPN2^nI|_KceaX6LMW|5=Ce^e7agsYbB0Z=k(E(EN!@&4UhsL%hBlXM
zu|9*p&9$Dgz}Pp-1W79F
zhHq_2peIhRUoSF(n;kk0Cm3TPhF9rq9+|465W!1XrrzR1NlKCyac~>{=7ZzX6*N^n
zf!o^o6IeJYINqM;2#UIo#T74=2!DlAt7X?eh5OvmMbW(2%al7?bLY^LV!^NY?hjAuL7_7Jbl1GS|gomggrVG!aiG}Bk)agE9XC2@G!gRVB;D0jgA^lNzENXGd
zG8RPlY@c*m);q5j@ZJRT1fg5d1t+TPY;`XO+pvWs&!FD>e(#FUr$sDp8$dNl2Ua-i
za*f(Ej(4Te2lWAlf<+F?{A@D%FSEX-iQOxM=Ssk2jylQGa48e=1QHnDaS^(vc!@{+
z0zUq(5-Yo`hIKbot=xP?+t%g1oZ5>WxO6sOzv=oB(!#s5Wo(3oMi#7ufwH<$lB=wj
z?g9r=%Maa^R^rA@xoz&b`-z%6LRHG()!bx|WBT;-Z4GpFLzDURiLN{KXJG*`Gn3+C
zWp(U=R@uD|mL%@G;!$efqNJ+Bd64`8T0F^{FE`q;HnrHU4rAah4EBk7$Q)fwF@>e}U?miUsg(`|J;@c!ej#=vw>gC&t-=9^1axpeMGDR=y
z6y~d85?e8s9aI{^|6RYex*lYP6tq|_%k1pO9ciCNH=@-L4fPex@yQhxFA_HmD)}9d
z=(`y&kR-fT?c!>S@L;LVNGu>fEqg{~U
z6a5pfq;>|h7xS#t7*;QI`Gb&b=plW6
z=`>ovgJ-_UrgFnoz**98qr3QK@-Zr6Ut|1Ma>k3mj99wQmb{<+Ma>sqRBlJ8#K8kj
z2CTVK4-iF7f@zksood%EY-439DlsX81e5tb)%qU&*fRgK_4pB*$8p?l{mU@8GZ(l4
zHR+c2b}Ve{}3Npj|T0sSyz=|V(MUc4me8l&2
zAEO4<6H$b+D|nJ|>@3
z@27gjn}5dRV4low(=j5#^w-x14p4ofJ&C>{bG1v?J}h;tPOvuia!d_H#q_2~2+xm@
zGD3O##NR&iyYdw}@?Ea-ghXKMib>IM+oVRIRX!}m|EHO=Yuq99Wy!CIl+=vRJFCK3
zsxSJpQknCmDjr6tsNKhp-uMzpx4*N^N1l{_qW)`bE%cz?f6~0CB!wcG9yhGy-0LG;
za+{*eg|D$LQWxmzi2Lk3{M%&wh_a-C_YxDtY>HDY%VzXG@(o
zB+nUx?*oQrY~@oXM3^lxB6=g_?}+o4NG4;I1v6Shzz?S5<9pF5sf^xsUf&#i9?`t-
z%1=YY$?aZ{Pz~KDX*D~fwP`8@h1$-U)C;~#KUZaGpm@6u+$Mrg{`IetY`pUg@=e}8
z&Fc2K^+*4!w6}oDYVG#E7a^dO2$BkjN+}JZvu(kOZJ&I|W`&OYyX&iT$eKE@tnKjYc3?t86u#k}VH|9=xwYw|fz?%2zF
zKGjMJWMGhA+-b9z9_rNl+`L+)RNACX@I|E{kuEF{C9lfEbaefpK=*CxYS9&4wyO*%
zP)J<0C*)wVuQ^SpxBs9kA&CLy;8`M>mglE0Qg3uO`3CvwCwYe6f5I>P6nkfhL;fo*
zRcA+b$a_~q1yHWJ_liHuL($8WMjTW^UvI;5sG*c1Clo}n^AXB5Kdm$m(6ST)L0~
zaNRKZ{3hC*jif3*AJ*C*#F$=KY|x>qY~nUY{I(=gW8;i2;UIZWv;Y-e|M21otbDA;
z7iLOiZOnX)E*HsO<{R3sQgwzqHP$+|06grtH;0@
z@XW1mRf3h%Ai%=I?CtF*TA{*q^54}1{1U~Ut8^URAdl8@#g{ubJN2O`!l8O~rcUih
z&?>llVQYUdtoo^!obKsW-Q++h&X|1a#R$8{$fqZ2;Tbxfa%yh|zC?uELF>U;f4AHy
zDMCzwJ7Yhq?BM;3!9!mim-?zXk33dXXAlxOQx(!9DX>&f@|5v*_BYbQ69hfK>Ps8v
z1F{k=P4=ymN76MNVY23vX6q1x_m`1%&S!Grl3@ph^b;L;zO53wKH}mwpzDzF>>!@p&8eQT@IyWGUi;J$w~je0plM>O5q5
z)8>8)HU9Sni&KUsC4occvN^IT$o^ZN6(NwR`+k?vUK#}k_6|=_f#t)?dn7S4f#D{s
z^DG;*%`fV@T7`u1Jc;q~sIeZ*w`deqZb(!=r!PfZYXx<15y4qcy=far9JL4q$}M9hae@FjCTHh+t$e
zcAp}O?tICt{210uO}&PyniiS$OROsin{FZ!;{$v9AZr@}i4Ms07Mwza-9MqiO^`
zPw*<%_NjWRyH_ilV8V0zLI(FW2V(u@tsuwYLXnHfS!a>`AmxNSG*p0>>crpZ@t+Ev
z(=^_aH|`HTw)AF16LM!{3r&-cTF5l+4!mk)|az_ig~Q1}RV
z{rWV9JgX?iKz@M8sAE(!<*6YOp5BXMxRTgZK?@TzU#_D+Ocm2N=T3VJ?~t%MmwWnY
zrn*nQ@UOF7=7}EmD!#&&95o8j<9qAhHKozzV}c2pQPnlINJ<@WS%q}z(ASd^r6KaB
z+?v9G5BdnW7jU&vxVpN6CiD}4ngEw}knsBipNuRac&h@)Eywa8hc!<7JR`)_UY9g@
zbK~Ps0xA20WC>QsqO$Bc!{SXh4cjV*=rY~OZ*O3SkO$l$-23uh+Ur)F)$KPo0&YfJ
z`_%HJD7lgb-TGU&bzlS>C8junJnRBDJ`y5$8e$`XNgXmLx_##kg)xh{jvb?&3;x_f
z3?)2UIOsv`xb02Y@e^e=>htX?tabzk^Y+!N=}5O`avkKSvJ#}{zmXRf*ocU29RVX3
z=Z$d*@@dhf<>v}jZ5~6Bh|N6hBAj1qixBVr)Tv5tZ1M3;G$$942_+tE#QGdCO9l7s%~Icf
z9*mYTX!$D6BqhEe
zS}!ef`pZ@69DCxV3BsyUQDdvuFxWHtzr$P;J`ZU>rxUc&30H8p+CX#oq7KMOaX(&Y
zptV?$Q>Xnj(6oHFiAR8DaKmJI)#wUvBETek1I+7@FJPKKBVDrAE#^Da-k`^As@nZZ
zw=JE@T_p3Bz5uDyL~vs6TGbB8+DhsfnS83{l|~zP8`$Zxx?w#|1~xPP^P`VybJ88S
zYV?bHWZH@`-52kSwXaC?w?ItQi1VWr+Y!_HVbs*|Ln%=FI*4#*eps
zg50rgb$zjZxi
z?S&cEu+FqVjS!CKbpTjF1TS!0z@BH)o-9}2+FD0vo*s`HFXvPZeR3{pBRF!_-0Ymgs>T)?%aPx12JM91{btRMjk1iyprR
zGpsaOWe0XHm4d_UwSEx=IN+~-20kDl5^pNUi$w-=u}Q)o=B{19uMj)(xY@JoAL>j^
zl|qxrS9nq0QFKim_L+&66J+n{NrhR+bxW;yB-xT5WxRG7Mi%HU9iw9)(^pVX=*_pJ
zBqF0vqE}N;sJ_hNbss=~h#w0!_9}omU}|cHz86x1Q9gEU${bW>MqI*j@41NUE$1
z#-ViydC81->kVWS{5C(Vi8Ylrmbv2xbfx}y66kDb{$|C|(ec~V)I&%&-vI8HqABFp
zz$(vw=1gsc*A_rR9!H+iNe25n*b@C8Jg7OfD;X&7@kr6^u7f@yg&a4FN_%OLPzBTM
zUVf7X?I2gVSM}q-bB?Oeudfv-a^Zkl^0BowN8`}(5
z{ZbY2ki^<<*~t+J_-5K~9LJ9&h|gqgF3Sj4pk)b=;5lBUEDHa>!wSS%Yh
zLlE(^0gOR9@l#dE0Zy>N9|f)ssk
zSs@ONk-X3NY(AdBigvF`x7L$cZ9a!kWHbjd8-c|N^S(KncBSZ}+v79(csz^0Z+p*h`ecI3u
zeKwkMtIu(_t4@nGv92j|w&??JlWoQ$E6l%Eltq*K&HE#P8Qbqj9|=ft($LwTG9nYKFfcehJ(f}_PSrS@
zHe~MP*JFWp;>*vnt$vM1NWwl0lm}pHUl%~B#HUXWu5WGW*!at)>VbA?v0+#q5FR=V
zNXT6$SuRlgAsgpq61_rF{C*z^DL!)@YzYQTRss}OQU`J!JJ6PJjlEl}we}LuPZ?$m
zc2tyvxfq=>aID%R*
zje$eVU&mdIts~@p+y$gv%Q!K?Wcx28R@Ni5iW^3d%u>8rZ_wx@?-av3;{%5t7uxNfeX6tO6Nn-E$A;7auIHFfu%?bT-{PA#Y#XD$fQ_G-R@(
zShQ5SdDC{m#FfE_V%0^+7Kg>Yq1jC>q6AeV$SOQ?4Q|1=W^N
zxf$83+!U@7ZoI@%RpOna>_q8kzGoZdxuxn#RFO%eqA$}f{*51gy*^k*-%WdCvh~$ShiYes
zQw}*uADFB$3ZCX&1QNBK|q0MFr*`ES%tA-^sH1fei8q1y8zWGd|
zl8(A+fM;k?UCp6)W?8#A?&0#2ce&)t6hba`gT8y!96TjrlwAUwLpG#r1Xg>D2bEf{
zem-&NThnh4jP;nR{<#stBv{#sB2YkeIm(Nk0qE&_j~>QM4c7x>BzVc>+i5#H6*EB4a;ZVQX>QgAA{zMdx^-NH
z=~EBU@wFIABXaT+>+?5#R@bsEqQ=W|OPlGZ&(c{*N1%H_`eCutVBH*H36^W?8{p(M
zKQ;Lc)aS*2sn6#Rr(KU2@pUs7zY_h%J3-&pO-C;U=Nm?WlSC4CS=ztdQ(M*?mB=Vh
zX8S~xQ9LL*hQzSfpnKJ4$ow&6QK^Fb;gugf0Sa$Jg^yD{a>q_yg(6#MzR2^{-*QTn
z;#BWE_WhL;_WNx7CntPyyvW$G{STT_{kM<+l7l*e4I4y_x$d$~&Ns(7O)RdVWsrLx
zx{t|AHng#XK!N&~)9RW|_p=-n
zo@f%m#MZhY%3@~Pj>K%`M%71&P{qf&x3Bxo$3N7k^2b2Guq{apNepI~f_p7$lDRpH
za_Oa+EBy*~hc2iG%@)?+aJv@(YSZ{>BE87gvEg@
zSg|>K3UQqP7lzcS54OsQ@$o9iq5+xZ6X38lYe7;1ZcSBV!00V5E>=Mak>6!j
z6GXJgM9gNUtoh-;F%j&`+2-XU8pT2UJ+!T}BXNbDB3G21sr=o{4EgotYyvEp|p
zq=t9L4k?;}_Lo9i16jw&kDQikR{n(EaHMQ!vR-R~WP84)TEQ6fVW?Vj}Uc50c$?AQW84O4Rvuv0|sg=Y+9(
zO{)=lQ5_dO*ycw+N%J8VL)^_h7DMM7>tlu{v1kRzGSk{r&IhrNDY#eZrM)E(R%>}&
z;d5;*g1_l(#Q~R)hK7cd8T#wk9M?(~Y~bUr21ka;TEh#@)7nFi`m%$lkt>52@^@zG
z0jyY2Ydz(!N^k7x;V3CJ6YOp|9_Up%eU9>HnCwFnI@!kLvM$@?dN*U{S)goI!4U-ckqcV&3hfwZ`3zszoDOQ7
zyz6{`_GjpY3)kK@>JG)y>JGNj9WAp7dK$wB3c(5KaeaQ4+KfcY?--nn;e6a%V*O_;
z(I^l(0YrqUEREMs;vxTd;Jz)nsz`hAujv*qfJ4tvg%rUlzMRpr;<#uI8zz;tZX}G_iHYwB
z1&ic3tMfxlSlfH+t0-cH?07+ca?D<+-(`^{o7M;~r~hlw;#d$9CnxAjDUB|lp8lF)
z<2kDHjQIM%@dfTuI+!?}jEhX{(mBo5C{G7J?WAwE7HFk*f0Ssv_PckoP?hZdJ(t7f
z56Y9#IK8G}9&8~eCkKFK|7xcxHU>t<3+z{UWDaVbt(rXr@QnMxX5^V(2vU5col?kQhOz
zxzS+0#re{ON0EZ+nFk&z<<3{$-M%G3u_2cg{}fCROV%ToMu)YZ#Ss3Px9{fR(4?b=
z<}IPIeL6ZB!|E{y>AS|1JY+pfy9
z5+0PxP5{0-NJEoa6B5|CP+3g8?mQwg=pLOSIB8)SAm`=PUQ?%jznOJcmKXP|Ec^5(
z-=B;XX4R`?csjd>;jX>DFd7b8M?tpH^hscSqf;gAZoXJyuW-fT*D7nN18B!R@s8W$
z6@$7~)U&XMt(1m!MmiCiwGdkHrk%6kAFr}x$w=4{;Ki}o*V
zrnIL53Ua|CH272QEdTDX9IKt=Ef=~gap~TMLliPi`+Z#|3miPj_k1Yy
zinN*y!8&D>L-p&4KV^2X6*idRPcD={x=D8^ax}-S`*TjpwU5oRpMzgClqn64e0Y2LXH=9o@v;ycq<%$>
z`1ajBXv{V$M~I>;&10Y#XZcy;4_1K4(RilrkFjAqpUY#)1wkDdn8gWdcEcpFKt8r~
z7%Mf+tLK7APn>fNt%EMMHrA&s6vDP6irUte32FlD=rnr>EuDyj5{TG*olB;f*k^O%tai(UqbCM
z`V3((&;>9I@QxBVN#
z7!2`cE$j<{JYRe;G2p=#8&!N<+VXV{+pDk!la$9=-8%J(75mML4|OTqQom8pHK!jg
z_}5f1#$V(9h#@cE3Nk>%uemMu%THtb=W}~qvD~0}+GeyOiUrCEb$H})>7lBjHYxsM
zrAPpVN1&5<4~`okvmEVR(~O(~!3Y2Mf|9!nE^4~+BC9!yHz;noa2zaTmM?kjosh}X
zW_O~^8WQlo8a#8n02x^Vqob5Ahz>I`%<#s5WP?|tJn(rpT0YNxG4_z46>b}cr
zZ1*bWI(k>~&d6(8DL_Lv`X64?_f8v{=6mnzENzRt1BjFWzR*N!VLlE{eGV_imkw8_
z8jYf9=_Vp7j7XT_G$_>4^d=^e2Nv`v$b@Gd>v_JFe0-%(9}2#eR!=<$G{W?;^ogI7|>xi{_b(SuAS+mKWIa^@8v
z2jA2)M7E4Uz6R1t^&X9N4?Nqts25z9I^X#BHI+1pc@e(f@`a^0^(qAI<&j}JsqGtS
zjVc6eh4n?oQcs}5T5{$u&Dg~1?1Bt@AUYA+Q*Wz>gn$0-nMW#
zQ*VPl?+oGX%s#~>kX9kTW!SsD{7P8Dn8VN1q7o6u&#@7rO%jzJ$Lp5M&!0bY%Y_(?
zzKSgG1U+(;POmvzRpGrcd=EY1RYk{3QlRgueM1Zw896Ve8+N57Z037Op=29aA3F3~
z2JPBAyIv_r;jMq@uNrA7wBw6&H-KXa9NnL0dMDWWZX5fI;Q8k1^%=g{yJk0VS;>r;
zLc~KIBS#Y{twO--E!UV8hbB=M2^tNMXRq*XqP*7=chSN-uip&}e(SS5m2@ocuU#j(
zKEfxRJ@-X#Z6&0|kKLhx@|Wu`j|T`z8z`R$%tDjie&a!}?bSJve|Tf_9U-j-m~VKV
zhAWQmKZ0Xe00_(9{AP<2v&k#mnZvV0ZC(b+b3kX*69oJ9F
zFS-{PQ+^*h*aS)o>$vPR=fg>z5v;naQLLCpdIn!~d7wTk5>s@t@P})ABVu*eb?{`N
z!wPhmVFr=@S-0gAz^z<@5>mF8>iP3{2M#3II{~Vy^HP@VgyT7Zqbc1FIfsUM!88qp
z*`-)Z9x5S^px0*Ks)%Lgj&%uG?(VuoiFDl2mX%FLAKmlE$ixtXhx-J%D>0Go>xS^T
z_dzFg1902`0)7BUcxc>~Yd<9R-eJV>rxWt1B9DlG67;XDT%k7=y)L6&4O*|5ykmf{
z2r68&eH7hCieeaf9$5H&YPPj1Hb5)saJoyG7cQP^2Hh|ak{=k!0RDagMhes)5t7`O
z03fgAg`ipd&^#3(^OXS=Zhgu;nXUx3-P`B?L(ew0u1&HC=$w2yG&|c#Ve)LA;w$%D
z33e0-CxRi%)zsAV3BgHkz%hJ!s8ke70@`)4^UR?N+@@`ToDg&!$$VDFex=K4zV@PW
zFHJyMG9W*JA#p~<>cOOo4Jc9f4hP)8&Xo5-&{G6#(UMnJr-F8p#>U1;G@`=7_m$ZZ
zvhdMAT*cC*|8x~AABAm}Dv|*fr%J|OL|;7he{BqV2}c1uR$T1c5#$8lPVWHBQ07czEY0+W{p6c#LKmD+21y
z^?^&Dn-!~J`LBXyCDs)pWyE#NG#Z
zV3O{y)x@Q1C~rbfqIUTdj8Y0T4-JE=o6--?@Po}@TYC9Pen+uzRH*p6l_($DTssty
zl{aMSfCUIOdU2{hpsPxgB2ghZ!7pWPp6GL11QBWkM<)SsA-jqXM%kUIZv@I>eh-5s
zuTalmzIM^oj-%%{o-6O+m;i$}M^+j9L3}TL0#VkDAE`3P93R!2Z`g0}OQ3Duix$2T
zqFQG$pEyMGedZ%8>GNFYn_MO+!z-Jrge!jP>*n!xw9laKpN82vy%>e6>KG7vL8*3+
zR{_7hieI^Jq#9D=iUO1#PAFZ3vMT0lA%ZSZUKssyk2IKtzNx98`($GiITIIDX9*cq
zlQmmCV^FW%dVl6HSGJ`YJ07t#Ww9hkcE6a@e$Y8TUX;Ma3Dy1f`Q^)PadqMw~mP(lCFJp$l>
zbQ%YZ0isG3t9|-T)M0`I=oP&Wkyb%FT3{e6U$obn8ku%t8PG6Y^J`u$y)gzb^<>Po
zDj0`sZ~n$XW=TSAW_96*?v_!RMp>E%IpJec-^fh)eL`qz1O-Uz?OiY98bCOK^?76L
z!+_#a)gLA%twxylO_Xa6%Rs7T^b=oLV$3|3Mu~@o9TG4F`Zqss3;?rVLDMF^YH{b)sfJf@**)PIvS*{zd&RfDD9`V_=C(G
zF88O&6@)bl6aUVAL}Xqm^DT03iMCwi5ZHU|GX-TI4=MK_2@n!x=B{~IkadrbNI1Z+
z@PGwMk#unVH9W$G{}WsDYwb}GCSG7`zpz)UmlX?=j{Nhi`2c@(AQsoO!Uant72VsgUsY2MteuRurFh3R(o%}L(iX8
z=I&&kGNxMh%B1Eyz3gzSX6%+Bom%tUZ05$FdtSwdV#MCOj6jS<2+>~C5`Ob>;m51T8F!-~7Rsbk${tje_ckU2p&Mj;j3
z;s-9d46Ey#dI@(dSl9JLmKA$lk*`Ux}5Gt@Il(ij_JUhmrj8(jNfQa#=AekKLoM3
zFEn2P$|mUEzQb~V+GQKET2>~pdOV_b?Z7gAF0|JTCpqh5ZL@C5iV~Rb
z)816g%5?pV4q%swdQf%WbnuA+G^dl@SxHSL^D^n>@%tu|$*|c*Kh$xp3
zs2|2_j{fn>ug|&VH?Ne6I(im}HY?*(lu>@(NfE1s@F#Hfc}BbiA6rDjB4|>fTQeyT
z#Zl`c@VO}secX5r32HM73vREyu@Z)}nzRUh_4bT;?2kS2{J^8~_WU99*1s08-&uC;
zr=d9&lps*IS=93jb+bUta*?D3l8KpK!+>=Kpk&Irqm$EDlkPv`#Tr~j&}D$w_A8x3
z++Q?$@V-CWRS}Hved7SZ>EawrKAWsY+7@WF*R
zzkfP=>l+3wx3~;D{ya}osp6GSzX!R$x9v5w3((!33%SmcCtH_KIQ!-dVgz$7aGmUqb%J0c8u9S
z!%Gxz66)PfOBy(E{LFFld0adH?I&f8&4X?mp5YOLPG20pcu_P+{{HUa^E=@IX~YQ?
z6%{~gHWc(2z5of5Mc+Gfy|*MsmV&
zBg53bWaibN^H&u~O)3m)TZl0rs=B?Hw;#j!`J>@~?_adXFl^PwA`0)8|9uM#li4-D
z!+^0wxWeU<7PzB?go(wpFHe@6O_4S*M4fn38opcHH7AHk(Y|DW3yS{ii?v&K$DLfb
zW0%!367i5v?b5F8yWQPzf&~{G6Z$%;!zVG!x5Bcu+pOy_%TD9Ou?1Y~(un_&d`$>%RdG|emHe$t{pv>yg=sBgtY3tdDJ?#FtaQK{g$-IDoiVqb6T
zD`}+g{dV2vKTIt@;PX5NuUaWnvk`jAiT&h@RD5Uv{~@7~MtNj;)|BIn_irCpwWHXo
z?FAtWD;b2q{cCS;G!&6`bGKZ7_IFw971(GgrfFETCJcRw?BLkh8Ja&zi7l-u!>?Dv
zkP&j4Y(75EB4nYQz6SC{VPK}#b4YJA%=13R8Lv;HUl#aEhWQ>C0N4z($6Q|X3(+kC$K_poB5g3lH137LR9uM1zDDX_e*QSFaS^PwT=`~k$R0`Q2Zb&ZN|-3U(w
z2RjcBk3u-~TT8pnI~BlWpCKEBVV6$|6JSYADt`}kXp)-2x3@Uu|1~80s_<=srozJM15dF^o>NEbI
zzh06WlSGDdZyk0^aBsRM-r205{Uk-?8*%JE-x^t_GhW-(+9z33bEdE|6qnq7=tG8a
zywv24YKr7d7Kg53e9-i)5k#I>b#!!Q95HN~ZBqhE65nuVhwuOY@o@g1zxaPV*T4TX
zK(oYmUYj>6;sj&~vTvQlWQ>Fz$LpUdrYS~M->N%&&J_Nf3*Wq@42xMA-Gn#vVlQ7>B(EVZz`0c&w?praGD9OY7c7^{1ZTNG*`QnJ}r)
z;R{woGKnq|kvbOeAN$}?o^W?G2znVEAK9K1b%L%eQ!Kmdm&48A|0*Bt9tBTLhBNF8
zUIFm8GFF!oyE{6EvL?x}&b+&@#S-T1_JC`Sa%|;?sY!Y%+d<$T4)?UCP#>QW#
z+L=gN=nq00^XJgv+YGjhKIjXY;PtC-d-0+4T(8g8&%Ha)E4zE!&}|}ed(Ki?$;-U&mWoT8?h9xKF=Cm(eS6wl1_EiiP&B;?S1%3wZIxBwKG54Lt{si5Zy1
zKa4&)Rf03aYn!UZl3P>K$&qvK^PiwVr0Em)Un6F)diH^mAgBG9t-6$BDUJ$)(ZKX-a%TEQY#fK^yn*jZRZK@g;>0EOaEcn6F2`+|ZAr^Ky6
z_0XjmHJ_5NBOEhliP}n^HBG1*jc|!||M>9g)vJ^+G2zKJT+xWPILz5*NTO*#`?I|5
zZ^Y8|@XFvJos7EPadL{FDr^ScX8TloM6+;;8k4ZqmBtCj^qUX2sA>WJedii%|3_U7
z7^FPcZ%g((481+gw)0)Q2woPPI-I)oERWva%`IfQ;mAd8r_eG2bkdTR^7D5>J_`|;O)!yA10n}&%0LsD2`}c%6j|u3mO%2!L;VkB6g$MQYr#H8|bm=
z2&bPO7Y^7b3kwTjEci4)8-RSc9%qW&YaSIEuX2W2>&Q4DWzL)LFmFD>Fx}Y=xFF42S_${
zm|O+`txtr5Qz~@zNsn_>MDP9xbbKG{W$|1*4@i<{(0$MHb0F1+)efb6x0T7pI8Lkz
zOKBzGZcr9VYSqs(k;83INl#r(+|-;e`SJEd1LW_w!)`-N>kW5V0j?ch*f!D3g*Y=3
zmhmY#>$QTMN(jVmKuF|)_{=MO{FKp#BFxn=n5O1n^4eI-@rj2?F34BDs__K|IkTi1
z=IeJUkytaljcj@adc#J-W&lI>m1!0(5x1Hi8X|t{n+&t(VzqMISpfydA(tL==*`s!
zfv}COtrNuI7O?n3{AcM1-RdoY3AVA(>XQJ2KnMlx;jm6wLfZtra(9<`7$yng3h=(=
z|9l=jKa3MG#>^9$IXP<3M++_}escgcY2o9PKI<1@-m|O3cFvr=dGqGEwa%*^udFca
zi9#Z=Gx19Xeq-n_`2MSVrl#0jA@o^3p#Z@F5hZin$S&?TgT&oi>9<+zt1v9%G`zv1
z_bp^9`R#ghRi)?p52GmnFM}T*RD-4TRv)kA84Rnt4BzQdsU`l-1^6ZjKDZ4S5!J-yhE(@AiG)+P1YVTPxRno#%O+$FU##z8|;0x|$;MD$Z3DMKLQK
zm)E2y##V}=n_IzzKM`E&*@gc|Iv>+_*0M8mzGUinfl@Vfwzsi!wy`|R>w3Y_$FqukNTG6Wa(zP=;XL`{4}>Na?u&fOmykI
z`S+@8@n3?zR37HFS;0vErnJ1D=i6mQ#(fiq4xDbOALM2^?)a-p=}6U#r?+hFC&yAF
zdVD_qvDes|%JA=xR8=r5^S?g|(D8Hr`;$7ovgp4*#WRLk{QHyKN&)N#`NxMnGQir6$o+^fh<4DgJ2jUevnI#H^{T9FUlp$i~i|!o>CEPeP|+~*o~Xm;TGs$~omqexVf?r4bT
zk51NZ{QS&+y_D0Z+o`HisXHH*B&sAO(@|G5dii_I<2+rP`~B8za(pqvK&fwv
zJYe^5EVp_wx|r*rYoj_Rkkp=uwfmXtfwA_idb1jbC_{{Hb!+9Px`i9~UoY
z>E?7ix^N*xHpT5M*Ka$w8V1DMun8xUgw_^`Q?BJR7B{UFL=Yo&Hd18VXjnB
zsyj>Xq*j`mPNm0mBNHPv8(w*NCU$BDud$K5^^Oa|tq7&(Aw1sAZ?nJKOb$E=2nuqk
z_Iy|2F6B0PX4y7+%HGtEg{Lb_Q0t?!l&T_L@@`{eqtoK)6lM0KN_dmxM*f~_%T^cK
z^>)-+aLKOO@05O`9^Xzoq@d&QjhQC3KX!?u!>MGBuKXGj+03@7yU!dx%w6&VPS7
z_tIqX>>e(vrvF)8UCh)>d)mp(|Mglhh?%avR^7avJBcoo)gIO0}=N-;5Ec&i1Pxop8%YO>XuC9-NUwm6^rx&_i)$3dSTEC-W)?L~j9%a8T
zzKjsj8*Yx-xpg1K`zl5@X8*s}TP;niK7?nf&NjN%kEQ!kzvpn%EsByIb}V&n66?13
z@XWv3&E)*~WMn4i?;n*eCFtg!mihXop#G&G9aWXwv8}c0*QY3_RfVo!dyMnsLix)3
z9_~H&JbLQ!N!f+MD~RyJA~G_@iosi2^Uu|LX~g4&R3<8>f)kK~ye|~I`7sn>GMbSV
zt0^!4OmgC7QmCyeclLpIZbz-VAL_(Nxv13BQ?m(o?yOsw&h_q$mAU+*aes?NjSn69yMO=vH``x-
zC3JLX8#~modyM527hd`0*zSPz8g6+>?cbcvyD{AI+<$UD??#RP%k=;Mdp-Go_dua1
zemq_RQBA4;{B!(kU-=Bj#6)*)oMDmGP^Zf8nThV}EQivoJbw#q-FjF&N|ncJHbHMc
zMG5(d#F|$v&RO@_*D_o6mgM8KwX3~67e@7}+k&|cRzxDXidVU*362%LL}BZwynN}H
zqT)`35Gg{z+%lt;H7g9mEadnbUcPLPTbeg--^-_T@X~lkTAWwrJDrc*KIhNso+xu3AMYx5Jid4;$zbls
zND|7i5>5A^QAUgGQm+L!C0F;W&E2daOfd6w<(#D5<~?V8kOgu{u3uW1@Mh*`pu&7b
zVze3@zkaWmUDQyG67SSA@l1L3Dp5J<@O7rqHw9_$yq7!|#xGS*DVs6wP)MW;|JbEwrkcj-RcRhSJ}02KjYip3ebbhgW98>m&&bryNR(ar)iU?qk4MzJIeMRL|A=#D
zUS8fazuNbcavn%VQ`1w8xMj&m@S~4j3h(TmqNCmojtz&cepBL*#Fv5h$K{O@zt}sm
zT>2&}bNYGQ?_y4IoAi3_%PN2qDlMLKBWdg#Ht2px(nwO^R%W3lU8+1{0b)AryrwqS
zJ%2u$;KwaAMIJnyH5?Ww=`~-%C%AX-H;#!DDk{#^JdaGxeW%*
zAziujxparml~yl&wR5Rs*9)6`avuU
zwWpS&MKHy*;7!91*Z4=kUEKCat79n(
zh!dB39sCac`naB;A5Iw$=Zv`3)Si}zWWo26O>R^e3KrqV`)9J$fN1}a}zqS#V
zS(=~1*+jf^ACA$K4H=21eA*_%r*7-Sdrm%CJ~!dLloe%LmQk_9NBL~6a#Rxx(#&BxZFi^Ig(B;2-LE}GJHO7Fcut2WC-$}RSq?RXqkxC=
z8GBB5hP!T|d^T-w+0P<9>GSULgiN2;@2^&UWkuxSGry7lI&k}yCD&3l2j_=+h5&ZD
z2cBGaL8|{8dwIMSWp*0nC`%_xxA)c6dL%z?{K93D7UsSbwA|jZ6lwiXa(Ke7>R0N!
zD^sdULQ~@hDXRb6cj^5AQc7*VC#rL2`n{K;XF35xF8}=U&0{+y_v_coq7%S#q8EEa
z7y6eL;uM0nWPJW?@h1y^tK)c(&k#~jT0;8|suuPSTJ~=){=bLc|7*HDtd}SmqxQAG
z+C(j_-I5w#-}
zb@lm>qh)L2F%L8wMW(e(GjG?kvN}&S9TssJ_LQXKaHuA5hzG)~If3
zn!rbTm!p1bJB=^(rJzREuDtra06j#+$hvoh-b-GcIj8iH$h6R>j7Y4oM`JL)UeSRh
z`C1lPR0T8RNq2zGHe|636)>UqZMI7~X82W=LabJ)9gFQ=GQ
z*m%X1T3vm8+*H-akLQK2P&`lEnX0z$-mSWN!>(5)4ugem-_9Cmo2^*6QUf^HrQ7&Y
z20kVF)W9XQXDosO0_w_EGF&oO(zSVb;?#AjtG?=1F8qAk01VNYsWZJW)1T!s)>S?G
z`qeA-n>TOjxSprNZ#XeuQ96A(cD!_$yK-sqH~XBlhDK{onagU9gFY++(hMfFd-qbG
z2SugF^Hw*u4E54`*E*}!99^|~wabsmtwHX;F2AY$n@{P@rh3t(einh>&rIt&t>VY4
zJr(j_6zSZFO0nbFoa4RpyMKJx{QUWJz!Hx6-cIYTw#C9qHcM*Vv$nRju-I6y7a=5<
zF3#4=;(ofUTDh_{T<>&-|N0%7V_#1SKGa=sI@C4fI68YWs_??xQrKl7{`DrUXrRc?d9+6Om|jl8)sV`h$@?XVA-n%+PxkXeO}c|F_?ot%
zVI=ymgy`rmnzHpH&Lp+dlGC5{D63rj85p9J*?lAMry2l+
z@BGNx!f<677Q?@}dLefo%U50PBah}}W;4s>b~X$39;w~dG4VuC>~~$c%csv?7o)#F
zEbINggCPUJRREY&Qt}PQ7LD!fef9?5s=Y^lysr#U%T93ZK9qhxIZ~?7G(+6$ck{CD
zu|j#>jLa&Qs?5$oldhAicUX6(iKN#CdH)!wW}*f{V%LWKh+(Mqb)JN-zm
z;Kq&DovvSGRt4Sedj4X<;`!}Ob7Lk;nSet*t23?!B#bVr7?AG~zZfTWn$|IrTF(}$
zo%L*3{yBf<%N*}}d|yvX>nJ|X`EH>=`7HTo>6rLuG&Q?x=e*TEIP8_u?l&X!xAW0)DQ=gOIXp5*p_r{z$
ztUCJ^hO2>iBKMdcxggIV9l**wxhJhQA)H5cN5spFvKXdJ*Rj|XFWaK$7dz4?!fDCj
zaniX@=cP~9F;a}TcK3T{7qSA
zV>;Rh0Q)_VUB0o9L*;v5pKa&V#Pm-@kts1+G$laP1d5xz7M4dgzXD4oUmXo3)Q<*6b%q
zr1C)1KZbUgMb=s(s#zeG^`3y}iB43-hSG#n|J@>8?|>WQW1$8Oq^8
z;Xg}}?SBA;E7E?9X65e7S$`-HM||hnHTs#jD3(%%QqG4JU&XGw)EtmTiz~3$NLZ4h7F^|)eAW&3AUv}8>T1v
ztJ^~M0-lpz6diBb*u(OV_7Xx18|97>=it6)jX=%xw90ns&UC6%Q#rd}t5_!kB=ZauYq+PS0TwiVt9-*P7r5pYGaQ+}g
zU8%<(_Kk&A&VC5YL`z;DtW)lKabb{W>5g{cBDSSo+I3gFG>Ieqyfat9tO+S0NVHQt
z-_7;;3MMM+D76(@whMioqNnCV+ecnK7hDSGE86H9csA7f@((w3V0IPXe4jpjDr()e
zt10S0OHw@pb$_PUsYP(-&J*Arx-S;@efl;?7zNTD?c2Y9`a__I$Gn@I0l~+UX%H2``hNf&V_#mIs
zNtx*|9HUM>
z@qjBHUrQ)zVs2P=DPw;A%JkQ_-P@v88Z}P7ukB1Z!9iHQn;fSndmOIPu(I$kK>Qjg
z(}u;iU+=c?oXQDKPIT!8+sP2Jg@GF2aa7~hk`K?c>b1+(3yGr968jf_7SjkNb5&^f
z?k1VqPj=qFqZGS)rIDN3@jnkJwRta2@o-5w|6^UxBuu&?dEtnco{8U{d(cf(FC981
z%OJN-NI<}TskCnB0Los&*d~(NkIBnh07*rPS>NjpL4TADc9I8w@0AZ7Lr1ZlNiNS4
z$t^SEec)KLhU2{7jnyv~zCoV9Q}1DiFY{(XIe?UWmsFo=Sd@wKFY5G3C4?J+eK}Pv
zMo4K@h(DH1ozh&i#i3lEMdPsp%Ix;*JX$?$|FX-KKx9p2yn=6$)%`2I&RP
zNm5k!SW)+BEkFmRwOi6b+HQKe*WwlL^yk*2?(Xg$0E>t;#V3D2A
zYuzOt)f8ijP(y*(8@U{Wy3mWZloMo8b#--?|J>QiEql8Ap|MVy8W&-Uk*&F9xv821
zY$91I**9IQmUFww(SD#QAE~*@;M)%7VstP>wkty`jpSTrE~yUZEkWEeh8Yp4hfXP(k0il{9$5OklUhk!aRV(+JY`Wp=JBsEiT-$k@znFw6?bp&@a+JWK@Tnf_
z-02>NoO7NyDWFjNOh=hje0#o`mJB9}Q_WG>TC@kiR)UAlhbKzXDHSOrQ%EQCbJr<5
zF|PWr!3W3HwY9^#9vWvI3*7J^_&TqGKa)1S-N~Us=drFJ!5C^CAISkvmh&9{-rN&)
zVXwyz3j)jQgSpOSGE=jAt=W2z{;aW^o79|i&z?=REgRXcl>KC70f`v(D?;Y-@;ADJ
zPhC+?3#X&j-9I$>rV6r@Ku~&>oh4;>_i#o(*e8dCBGBp$6R1lG{~I-%Czhz1hTYeUoE7
z*ChxGn$}&}t;pA^^>kEN>%obNZAzdb?njDRp2de0+4dPC4@K0ze}&v`((bS>8E?F*
z2h8rzuW!@R(*>BhrC*QLPk_89jB;b6O4oAAhbjV%LIea24UO@UT~*r!1(o!SU4Ssq
zlZb9+qSUto`Ol%JSa9Ba|bAS5-^)PlFGM)E0*
zzAet>EA5XB4IK>MwRP)O@}7L9ekKeQePGds9&qpMJUn(1O?9NLzsKjf_-pv|K^A&S
zXdL}-H#8mX97D07jeDOuM+b85H@p2|a4;NQ1+riy&Q#u?DNF+lwWj8npp=whYilck
z1$^u=ZrR0zRl^c!6_12(yCf#bGx*emhK44Az%pukLu=4O%{3vx?J^qnd;5B-X2#%v
zH92A|5(n;pT_}6+yO}ShX^q=@EKC7^F6A+M=Xu3^Pod>GDK&p+R*4&S8w%{$p=jduD+TT7zN#hVHIt@(;=Athbz1e++OwuQ
z)64PpRC`yOHAf37jsJDJ>LJP>Ia(CH%Xh87#XM42`+JT?w;`(OQ*%SQx!Y#)+QMl^
z{ls^N@^$`9V7)lrTiVdjurC^~v1xIpdg;ZGW5&t2LslK>cSj^r%z_ktgW#!nBrZV3
zU+Ky@l?HlBKw7%Dvg^KV$w+F{`Qo=l=U=db)@gFy!uS^|XtdgwzRdY-tyO^!6O(;&
zRO&SXH|!={>(J1UWplLTpM3MrkmE>F$RXNC*(8QtU?7Xmo;_RWG_1DU;L$U%s5Qs*
zhaZ5iD?OkvwYheF|m2L1R
zU0Q)X>Z$T9|9jgumrfnM2f{I!cv!7V%{$1U4%K$AyMY1uCLQ@w10pNJ>hgChnmzQ|b=7zeK@A=wxWt
z*+)JqA1@o@Q(C`W_6`UM=>|Tul~Q{^XrKVdafHhR^F;FAVX}~K
zeNkA*Dd+E_4l%(;1fM-jPUgb}iJO}3%=O||>Zx!qNK8r!rx}L)%}mYTc{$`5VWGQe
z$c{(?$PuH!7KSDE2_q7e&lGkHvV_3je?P@b1^WB9vg;Xb_19>bLoHd+xqo`?%oksTig75^c-&GO?vcd--V(W&#9JQ8HSN;JD?gA9XzkR#atN6pIgJEx>
zT(WK6oK;vTx`5o4I>@^MsEJ)Ysq|8s<2{9-xU>jE>&K80Pkg%>yWsBZ!^gaFj~uW(
zQA0m9$5>0Pr3TEqnj(Q=g?8;~w2%BA7!c6*xiyJ@@93s?WcP_&)9d}Sj&*mb!>OA$
zd{
zNNp*2gWdFzbo%sp_S+!A-)N%DrPOXRZ`vpS?b|nqmGQ^{=cU%tlLD{Mi39+a2Y{@HTgnWaa0>)QMR8FApkkld
zw%LuDJZv?Ga2TJCb1gU|BqJ9gU)vaCxy**CbAadG9VkH$XO0Wxn6G?XymxiQG0QD7aZ`|r1xS86+e}@D>um=;7
z9RwJvg<3h0B(SOHjYX+RhOV1UK+kL(9OmM;m){0n(`>B{onocj`oRwtft5U_pup5v
z7FEZ*SzHD2MQ-|IyM9|7H5*PxdDEs%1Q?8LOu6?u-a={^ZCa6e3wMDjMe(ot*h)te
zg&uU%&(9jT2-IE{GQc|L?5Rdj-R$evpTmdpL5lTWS|mujB|)A++49?mI(SB`+LHZ8
z1X5TzxknZYWP{=ve9kxnobEQMGNOrEbqLg2N^cVuR%2McHjGrkJzHO4ohlDazdd?VY`(=9Icl^p|u
z;FNSsMrsx&OCvNmQ59r&Q3D*=QDQP4Kh#lH)}(!l4hv&*8SPLaoeb;%&OmbagKtnr
z5oSkpb?-qF;m=5ypW1;=mhiw}qpx^4!;O*!c-Hh_zaniyEng6f(2Eq;1BX(rm?II!>r4u*I+ZnBBW=<1>_=P0&c>Fm6uRB&UB!=O;VbhywZiZB
zWOsy=7*2bClgw^)?f0CCiD+k#vu|i@>_A%OUp9^~GZ=pGroepXjve*(oQ#|(2yFLu
z8T_4LAtUPDo^uMVBbpTE9dwk@EuHP8Sowy!)!+JS8=sQXr^fdmn5c>~u$3T>YPYAV
zE|`TD29$hx^fD|mGPAeWs43=PH){Vz^3-hl%*!+5zM)~pXma>tcGH82tOZkweuI{b
zyT4g&kP9XR;sk;*K-BJ?bh`t^I{+O|RdX`h+(ta=cfZxb+p7&nZ~!$U&SfVGxn(>y
zs%g1)9WTUA3LZGnZO;jJ4Or(+JP*O1^se%9RPZ3XQ70S2_Xs*ZP=OgUr>Oe$Xs3?4dOVbzC}c~4=aCJPP`c0%Z&VwU=?YU5
zwxwzcfGh^93}E8mX?Lg~DJkIAEm9i`UB+~Q;^mP1SoM=$0kJ0ML{3q`1
zxyVFad4^t;H{xZ=#)%%X-r
zTH0MR>VVxnXVLrZUPt3hz8!Yn|nY*f2QfHdUt|)Oz
zyXC>g#GJObzDL~@{Ws!9jvxMka8fsCXJ>s%?g{1|@|+Vu=i;}Ps|_!&T7Q@Vx)DZw
zvHbOYh{m=qi80%|w#;QLEGo)cf|+70-n8HBI8C^E-mzAxkyI}Tk;FXoUkAPs2M$U9
zuxG(`0JO@@h0|hmLf7z;w@7D>A{cP{wl=yG)%uJ)>{JHchcGZ8kkL%~#E0L#`@TwP
z|M`E`)mkjf)C`M=NP{3A8O$K7=+Bg%E_XsHCk-0u%;4AJ
z{(F3tU=fBZWJqr~??`tZ&I2C<;fO%iuhJk!b%Qv?!eU~Y*0xdVD-zPbplp=d
z0@!!1Nu%=_IJeuXxBQY_-Lq%NE(i60Y@&qfNkb5G@RE?Is5Y{|ey)1+HJqZyQEWDg
z+q^>2SFOLw18^xkFgvbFOMW)D8&vL^v-r_
zbh)QuJz$UbM?b&B$IoACK7@9&-JWxHf2tEbhyB?WGbPQl3-^3OwX1}U%RYmOG$pX*
z5qL{vbG8Cp-t{pZRK%|`z!pbjA=+^o&t18m_#GeUTyHV8Q
zm83{-dwY9$XlTyEV%Zdw&lA(7YcJ|&2K84FX6&TA*jcc39`A2*h@N}C#`ZfUC%Fqq
z;=zLlgyTe)VIdXVG6J}B_S`x67xohN{_ES~16(V;Zm}{;oK)y>Rnk;(ym;){^UZ2n
zzlbp*RdsWYQK=@3l8G?disUOSU&Adudu;-41fqT^PnSaB%gEM0lw{r#i-bVX1}QQ{
z7Js=Ncm&-Z01v1VEjM%8H<|bE-;-9q>i76T2sBZw%tKFSj}1ug__;xKNF|%2MC4u0
zF)_V|MwY;`jDGM-mR>r>Eny%3UbIROT$Rk_pJC2FkF2BAJ-Q~;n)h>M#3~@o2fdJG|dLD6pb({me!>GC~OjO%D4&ul;ob&hvnuwkcVGdZp25
zz@45z*d56GVwZo~$Slqdf)(*;fr;nFwtqtkqnQ$Gh<&sK99PC@Rfl^in)coc#Bd8G$qeFVzMJ^XF)P
zK&`O^6@vy;3;$8A|F&8@Drnk@ieDr2+f3CcXAUB~?x>=QV~(=q!vhA^^$xLz4Z!0L
z`)3)LnBHwoJ?9qPXRC*b&X-?GQEm-LVth(ap!8rCc`v$HTehyS%8T+@{T758J{6AM
zbu-U*2|Orr?L`?TSG?A8;3T;o+Bw~g&WySFsm_`xQs(+mtF)aHhR>V}w*YIR{s&S~
z1LfIMDrnBa@7y^fewzoD@iHhqyE80QCF2XpLl|p4EbhU1s7$+jfQOPBf@N%+<5QT$
z1ueLt;dDI?-zpHADCEH_UA?7F{0^~#EY?k`W7aFeU~jOG&CGbRpS3BnxfD54atrz~
ziZ{>ZU4;RRR60OeAP~<=1^4F*+iu)SQ5@zA!ROcCdz2)9)Ey9k7Q97L^T+Zi)s=#(
zjlSO!f!9h8aDesoBeANU%`t>X&<2r?jqyXfTT)0O1D)S0W@a7y2it!TEp|ARCvbu;
zpI>clcNo|KnUFo`8Lm|47*ky;{RS9ifwf^!%rOLIN-=KCnm2Wp`=!77e6B%(0zBuU
zk;|wncU@xPyAMPfMOKpq#&5r(Yu0v!cm
zTb|ik4rxPD61&)=O}1;pu03SCf^`zHS+Zl+ivGTBNVVG8@+T~<#EM5?TL0Fr8Uo;y>=J>j?>ne<8^vvV(*X-$bXGuB7U!zB+Y1yg+&JX8_d_YGJtFER
z%t^D?K!P5pWu`Kz`G0bh;7dE2WD=SB>Q;K7S8oPGx#(EwLG3$nxhSR}r``ARQ;gfk
z>fCZqSI$-%(jl94Lm&Zw_nG?AQ*;8JRXu(E`w;R?aa^PAX(30B9KoE$S}qBDIdrCb
zxmF$uzH70<114rY++04vDz$U9mO^ndyN)Eh=kV56y_k9DRpROjgz{#!)zsCit#skF
zk!A(9eNtdkdTlmRlUo4@U_lHBUK=YGv-1?v;~xy(Y9YX-EXpWj4bkhS;`07$(OZA2
z*L7R+jeIH8g{KWsHRE9sX2GsSYQN1J%|D?IQrG5w?wjJ7;4xIEeeHX)ckS^_oyN+fVMVqT{2*WzE^m4_yo|I&wI@|{PA5d`m
z#>_~&VnV_$*;5(-<29uqLLS1UCHVK>M_?QRD4IZ@b^?0B+_jVw11qM65
z9ZPWe+S7@rv=*43oGG(tYeC>s;L+4UdR3`kDWNjLxb6!?
zh~JlZ4_FKF3~wSS>sl9DDIIhW#rNyiw54loQ@X8y73Yl`&ESN=gZZ{Iax1K$
zR=CP8{0LpUMIs&@H4sM=7Tyl}hfqZz7NqP4d`2WDH4sjQx*Ej4NnC-JSFVfYgcGRP
zEOcoj*TAN(ZWqK)!$1EJTE3!1s>OMv?HK9`J|uQ_)@`P_r#J6O9d^;e;MiYUw#`Tt
zKHnh)8^Y?qr!0CBUc6MO;@cx$)|FXM*I36A+_|-+G{7e?=6u-JstyU9YA^>QLX=qW
z^qm=6JK7!SH)u)GG4Ag=IwhSI|55t-pBRC61mixHe9DC%vRN;pE|6&-FscKx*&J_4
zu0;xXFM1WxAeToPZj^sE3}%4)xF5Ve&tqnMHyrPPmtzn@QU`06Yb0(JxY%E1{N~LY
z(hj26QmOy834lirG#6OVLfn2ZD>Zg`+>w{`P5P0rKEpOdf?@_j0eT=o40G5=)}THO
zaO+bT{4)?+4wUkPy7wVL@D7K;}$yH5GUy?%T#3K2+r`!3_XZ*Zb$
zwDL+RpEFNCiM^|JXNoxD@9RV8n6M5HENZcC5PreCe3etp2gw@YKu=C=Wqbm#=SqVy
znM%13wD$A6%5p&KHEAoaWCt?wzTSeQS?>B(^Z4;w9zVZWN~zV1p&3t3RK4ET-p-tM
zHFu>L7d06MfDc#Y@pGpaPyfs-;1GkJtF`2u^1UUx%}2H>Co`idEG|4lFeK!jKx^-|
zR#FzA{ciY&i7-73AhXU%DB0&#HG?(O*45o$%|N%p4R;M`=TFnMeUg92jxiY45gSp3
z_V14vyAOq@ZhPXlhn1PGg?mH7tI2|pYhT(MWSx{BuPe`l{m;VfnI!+IyeyOIst+GN
zgvG_>Vh7PGQ-^Y9Ne+IefvFTCgcGqBK#*w6A%kW?GX^Hs;v6-F
zm;ocQs08yBV7aZIqkF55(!%cabl9`@6Kiow?Ps61d|~S4-x#L=Gs|%$&c$I0wgw>)
zkq~AsiZL5FQi(=pINq&cj@2U-9b6LOTR+qVid~ttZ@)XR?cWvd6l%>(RZld&T~u0w
zy9tq=bi_O8ss3kDViEV8Moai$YadD7Cwo9h$Pnu-J#!ZXl@^(=AR{`E=lc$3(8_9!Xpg8#f|dvIdSO9qIA?=Q1r{?j)OmV-F##8e&WF5xZ!
zk?*rwABtacqTuAWZ_!%9{Es~{S+$~cMu&HuP9*at7)qe4;UHulDsgDCPldriMr%WO
z9p^%^A+`YfwDdd=r?klQqQ!Dr4?O;oe3ket6R?L!n)p5}0Hn14zUh_VY3s`hXeJDjw8BrHnDdq*Gp>L8R>
zoo5^75PKEU%;DM*fsTypvPv{o%{LFGj(~OU4M|lEtRhwq2y6qA6FVX6Mzc|kkGhVQ
z6IL5GVg&mmVcYD9be98=Z
zsDWGvIE~eDL2SNXP{%wU@mLVi9Qpvs`FYzpuRVX^`IetO$Ipz=K;L!?`yF+Z5}ix2
zTorW7vD$N_+`IM3bYO?smrAR)B`YOb67R`SZthH^JEV;V0c$9QeC|j)i~g!g=@m-9{&uG9W#;IoqWb@@6^+-gIyfNLhOnP#*L4o4@!&cgg-vpPQnOd*J6<
z-fsq)E1H#RgwEic%ke@=%nTW(OvEC4wHmbogT__0bKLf^SLOYEdCy)Hx>J)%pQ1ZG
z{IqqhhmJ}HQ~eKyeNay_wbFt|Bo2q5%ecB-MC2rqNl<)E&Umswh}-2?YbwF4LawHL
zsgYFa(r}FACVyS4uJp>rqvb;a=b1&RJFj;)b?f*0;iX|K*rdilv6E0A`t&Ii5i;IX
zbw&+WfgSU|;P9=12(X!ZP{VIV-%e_1X$af>>|u!^GwSE&R(~<}4aUdR6ca$ih?7==
zUd!eR*iK_Ie2VcwYa~N->T);Ps|{)mn?Dgw0KkPcDHa%s*EGj(gI@VnU_jsYSr!!R
zOhEu4>IC@Idm<*n{;W-U@(K!>KxBl!U$?QuVDK{NgAI6>Wi#4pT}OBBw^lX>Qlc!t
zGK2qBNA2v)GdeW3mJ!oiX;dfv}_>z*HQnRsXXAM}mc8q$tC7Buh2AOx+?_CPe#Jxsrm
zzk*%3&c)A3fBJCqrVA-NVa|`&9T}ZRiFV!N|ykmm5HQ?!@kZN<#ZROh`T`1}>bi$ybW)WY!LO{8bi
zjsl<)fpTG5_E4Y@)Pg&8x5p7PJ#ZP4iKCmNRZ
z*OB*scFTO}iTm~vpyo4Z6=&j*LL9ofU-hKZQP*yY87JXNf^QX#X5t55a^H-h#$=0>
z^Kk%>F!=ue@EwO&W+yrgJ`ch-1%MQp6h}a1gTgybv)Sre*PUsHzVen@c1GT3AxFto
zWTHIxY(S8Ae$`1bmHbCgq15+f{jdYLW@Tk<^gZmKsh9ikQ&SW?Jw%#EPI~$J^eQ@Q
z$N+?t9DBjN!Biq>so;%GW@MYZVlkTLWmHAxE`CFh006TufBY&&Oa9QPBoAMvkPiGs
zx*}ZWR1C>K05c!)tci1psFu*fb;!ICb_Ja?2iXJze#0X%3cjI?!8gjtIi0{We|~wh
z4UElrUwOoAep6I2WFXhlV4XV=CJ%?-8-WMK5M~z|%OcRc_(F+8A=9tsPlAe@Zaz4X
zCv3PbQT}MnBjv(bsUYSZE4O6tUe5bkU(2Sa*e>_=>(?i|Y@mjti|(BMnZ~B)dx7!4
zx%MNeFZJ$0Z?l-6{T33vm~&4*0O
z3`(yz!i~QJ9r~Qqk(x&eKiNfu=y=x|j3p3HDLxVx^#TcWlS}w6jhxfQg_a!rkxThi
z=0q^HwS99`n(CAjMW@`=hgTBZD(E&%Za_K>Q_XY8~@RfFVUGvU|->B#d
z%Hu#_cE9Rvx1T1vxYk|4^6eknyh%jqz*h|14`#jdH1TYox7jluAGspT(BV>}!&L!o
z3IcG5nAA+jX$-xLKs}o>@0ziNqlDP^qM6_z^z}J+QRo%e#9AeK9)3;)PLAJmw#`er
z74l9}G3b$N{wU1|81VHu_&x*p^&G9pA=79OA#?scWDx-9n*0DTXf06a)}`M+yM7~N
zp>!B|iHqsfW1GD|5WN9$#MOWx%O!;JBbM79YuBRIN}#2Kw8FcNc#}biLDu>-LBKu+
z&y~P}P44c^UbzKpCr7UiDy952oK!h)_8dMl^{ENgYcVbcN~n{@e*!uRaaW=@gbPFa
zju?M;Wa4Tn6_ScI7EKdqrN25YV}zdJ&k;|GA`rsBI1oBu6$^_Va3&ZV3w#v_IEpVf
zR`Cw#Us%l{e)Y-Rq2@SQlRp*;>JFJPkB;8L&(EKMAV?jIzlMyQ_V1CC={}^dTJoaV
zs>{&Er2rAsTGB^}wYAJeGRVcB(YjjGR%ERQHExVJ3jXDp?VFo8!IF3bTHt-co}~|;
zA!l=zU5e;v(R`C&?^no!;V{fUdy_B2q}t1@HeOTy*s+ZNAgF=O+5N|&&FTH7D?duF
zpCz9!&|2XK4uzLY0T4n0a}&sp_k*u1KSgc3atxgeL6!c0wOoBRcUst}L>*R8drmiS
zX!NW2BWLvad*Hz{kXtWT1G{^up!n4!H~;7ORTaZZk0Q8NlaPus31S|MrxB4IgPte}
zjMfUvC9tu#lN3Wn;lY9h(yBc*Xhec87b8oAy?~bWufL1ZUe$GUwF^4)m(P42G^8}O-zuPqg=*w`gd2pU01T)Yc>jd}4~crAJ3KYsdzh`d0K
zR}})rA3y;RWroJ+B1wQbd*&<64eUlq&AX
zKL9d(x3shoELnG+F-OTM;P>s3#=b(72ShwT01$8osk^Yro5R)_b_!!N#J=Q@5H#R@5G3Z4`L~ee;oit1
zlqVE21n^M^e>H4r?HMpBK+;@&zOH3|W5-Gr+}0H;LqDnz|Ii`Q(K6AJky*<7b>}tI
z)z3%>QellkI^Yt}G1CFj`3R16=jy?y0!gDY;plQmBU_EjoHg+2kX;fH+&FF)WDmJ`
z`6=$SB=uGK#1Ri-l1$5EG7J;55GWP`6*2r9fJ)mE>H6fePYv@-HRbRc@9Vz#m~Ri^kDci(c+U_Q+?5x=y)M
zw`wjJ*T9WbbBb`!yYzYex#F)QN5vkzBs`Y5j8|E7wi3mH^uqA-Dk~}N<=XN2#c7xF7@vIOdx579~8BgHH6<6m)sFwUS|(cY|Mghdc&$4sV>SN)2ysO@V;
z2->qUT}SulTJ@RHl5dNS7gCcV7$PEQl&>pe
zs#f$jJKd=bz_duLLu7IrR+f$mcPE4ee^(vzHb%-Vvi7|_$IshtYq{$VaGWtNtbzNj
zS{FepVIDmT=2!55Ik)ah)bVxF_%3|uN0&{WtGaBR
zG&lg)iFY~J0Pv5zKA@`fS$3Dm%gd)jTBMbjuD2jh%g%^KB%3o{HARm*UU*1CSi-z6XwF9I8h7J$WmuH~mmhLz62
zfdi-Bd6r85Bz^W1eRkjm3Gzt-tyh)<+RtvrY1@M3t!XFYL+~t-m4FP!)qP3w5UfOK
z+^oU5lH{zO_{0tZR*rGGE@_nWlndJx+qCaQT_g+5cJucgXh%u{Wnl#jONK(o!TSV2
zz9;sItHr2QS!jc3$*^Z{RJ-2rw83}s6!=6PWO9%v9pDt(9j=`|Z!FK6}xeqWJ*zRBX7V^z(
zA!ZG-;^XB|k#xY#tJFVncU0qwINz>%piet>_}H;yn0eWqBHYHbW@9{9Rx*G=zL`WT
zI2qr8Meh0^GO=H5g<98)7rr11Ai$`Yi9)!?0BpgA`lreyqn8xiv16En=TbuPlLFSU
zqE}B`0>kb;?!#Cy}WftG@;v
zc=u|vU4=vIaNhcW8U3-unAa!#nQDsJMOp{S&t|0w?d^0rnC1%8?cKX~rQk~^PHs5q
zF?>s13xwX>UtN9Vh<<>yJ|V^7rzCSe=r4}?Z=h!T*Hmjlq)PH*vHWqO{{=UC$Sq+gEHITSI{|w&$O2wYZwtwCoY_cC9{$aV20R!I3XNr&g$83=w4|g3l5?
z72xCwzOD&2+pe0qO=q00)`0)54)gqQYs;@vuy(pfl(%70VE)4&*Vz8gn2#6Av~qbd
zqzMBN=#l|K8S|nj!5*1z+gFBQ--A-8EiRsW*a2)LI3W!5f`wrx$>uz}sLq(U#_<(_
z`{!7#dsG#A#L-0$JiXuG|DoB0IL?T*8o!_i11`SM%|>eN8bnt(>0ZLaQ`mRv0xGRa
zl)rA$@LEs%m3EF^S)K2DnXVbW>rg&t1yWzfmk{a*4si&6P());h3KiM?)VadZomJv
zi)&yB#}%PwxUCiUHn>Qb6P)ejF=UQT($D2{a|Y-K9y)=Xp)R@c+wCcXb`QyxSy{we
zO6YP|u(V_Dw)MhcAw@@rN0NU3=e|b6LFi6P##e5n16`Wc)|l&al--7PNdt+`@#LE%
z`RjFa24rmGQ9-G~cXL#x6J4qFI+jltC8Hu<+Iwf)tm~y*<@|M
zm9#e4i0@NVWQGZOk`BLl3Ojgr_YEFXld#XHIf9y&QL`JYlmF6^)G+#XEG|L>13hag
z+2`&|9A^vOY@FW0Yr#8EoY`e(Dn&2+)HpH!=njhK(WQygUwccnT+90^nKtmU@1C>4
z#8;#k?8ww&;~dvMjG@*l4Ok=9O0>)#!0K~QLgT_`r)IWq`}2`&$Bv>pi`r(ZWp8e_=SwU+9q@#;J4x&@Vz<);jE#@IdW9<{M>s?k&C
zd!?v|vkOM^7^4AK3zEY}_EG8xOdE#*`cdM$0p?CY=?KHHI*cYTyGm*#KFPJ|EzzK{
zadV~J|0w0#K5!OH9NVd&2^OmVy|a{HtGyD6lOE9n?IlEE4@0cZCcuxU`~i|@fr88_
z*`1TJ>?C{4iB@9{r{A$&-3EHrbF3;PAS_2GKMu0%XY2c%D}T
zHC(Vtw|V~}^iZ!lq1No1WADpZ$IuT0`b
zb;yMSccR9Q&OmdIQ+fpx9mL8w#oDQvjTMIvqyF9v>J0iih`B-Yizm@dOPIo;a<;b4
zwepG#{StEOFg8Zp1CWvc+bm*Q3x$3Df!5vGU4|77v*+zN%EI_eSvhuObiBjS)o_op
z!t#_%-nKxLVTwFlW~q_RC_U>_$iRVqn?}Qk1nME?N{RG28?UBhTy6GbsXPWEl^j%m
zl%=D5C$0mr1~!5B??Sr(nSKqeY=%0@}ECSY%q8Q6gs}kGBYg>?MNb#rE
zJ!CrBw7Fl(2&4
ztd*_F=z8Ivot4}c`1=!9wjEmCNap1hFUH1;fse{qu-c3Q*XFE{vuR6KuB?7@_`2;@
zMv%s)MH~X^GBbO=>_jJ!l-u}N3PhGh$&4mr7TO3vb@Upkj|i9u$L1tZr76RPPdg#P$
z$;9UX;gaF^8U-H7aA*nd?|X+Ui-d(2^qn$18txW6F)kBfyt8!c(b&J_t<3x6FyUWF
zy|Ww{9O5nEO|&88qbT@VBe5L#P9f#TS2?bwQ{i$c-eKr~LskB)Cc%*dJV1us;qCZI~p^
z^=m+>MyRmlo)^P>xF6c?!rK80ljqu9<7$CT&7LS&E4N&^dXBqtPSPyih
zG@f)PRO&7guB#t;nSf^nW*|0`EAqZCKn-!CFy3tl@CllXIumter3p}@|3$e19wPMu
zt^Fbnlj4t@bp^;XOwG&yh+Hb&Fu;c`WaYa3&T7t7vOgF#=H-QTKF3s#T#M{O2b0jDTBpOONo&lyH
zC=O3B2kisML-ipZsl59{*f03!RSF1-?Una&j5%*=oPJiES&e_n$CJ{r-xb
z!+}&@l6dg}Xz*929-g>)2Q+Z9LeBcoE{>IQ7OuU-0b)iN%#;N95Cx_t@j$@TL^1IQ
zEC!aEGVj+UN2slh9sQA!nVECo$6Uld`PLsZ2L>J;+BJL``YLw<<<)l!3ux${xw5AP
zz7QLRoo0F7d8AN5Ede6?9bub>b55)|%9FAuCJrMAp)HVB;YK6&$T5-7BU3Cuy5J6?
zCn>Sf@MksI37R@m0CV%}W$z|p-n%_l`1#|Xra*OYB@1>ecqL2ejT3bbl}YAoEVRX@
zL8f~|3N#WtjOUSh6WI_I_P|s^QEa+EWg^}lx3)CDPZrsPRTet;6eBD@tttM;V9Inn
zlTI^nC);reyzw^6!r0MrC}5O|KEP@%v>Sq?TTvZ5eiB?stP
z(ac8|w*NZ4ICz>taaQq^&aK$^+s)S|U)EK~14j9}7hOsT-6$`C5F
zHy#RvMe_#fjl$Yz5fi@DJ8r1@JtoCAlXNGjrojnlU$Y^n5fU0uFA-nZv$5%@sYleY
zgU56NW+H??#n$kJYb``2*^{Mk8tebyA8d}>wl6_4CoQc#>BgmumWw8A7V_ZAuFo=y
zk^~ZgLxcSay)X_`v{YMQ%8Wv|-4M!Y^xLpC=fP6Y~>B6{>4C-qvj$H*sxS8}0LwzoOB)u>N^`TtzFSIW`d@`ZuZE0|jRt
z)&nu9pbv|OHc6laF{TOtNa-an@2gW&HjHV5T#ow)N>jTxiZ;oxoTMW)|B$BK*1TRF
zeY)>mMngXb%#Apu+1u;$l^r`9E&$7>web{z9>pAxCA2fj?E#UJARHjpO`{|CNg@uI
zjnFed2w0p?>CC}~L@!%8i9N-#fVqX)^nIHMI2kDG+WStfEoRY%*WCoTjn7Gg3%M#1
zUB4r~DMGpdrSLW4g!(%iQVj_GXO@2GlO8TY2tW!p8!<*mg%oI!h+9T>=f=eGj0_gg!Q
zhY2eD$ay-Fs9@N&PzcXKA}obVi@@Qzo63x5fMRg8xQ6}QB3Cmn_s#mQI#WFts;1P-RsL03jUpZAbt07h@jt$_%J
z*!Guu!M%e_*9n5x)3XD*gnOcginBgm!y_dlz2F0nXs*U?1*X<@$AXs&7-Qz>_Kr^Z
zWW8}42ywyd@C%5ziwQ|VwE)A{gR`+3;RA=c@LHuWyE
z{nnPGuD<32u*|}UtSccz#!AY=iB0Y*JGZ?tOVVug4wWGCFr=nX5XhpHk5DIYXo2T3BLmsu
z6|3QWFq{AwX~^8#toR5MDdak+u!u?wKdN`w2C<=NlTN9<w;tfc>W
z(mUD~I9dSM2s<>pixK3rPv@GshTdiWZSobJ_dhxBbgTPtagph@pmn!hr|nLd(4!B_
z10)Olw@HQ7iXsslRki`&4c8=VS>v^dAs{wge+rE2*Tb%O9gaBA$l=ZqycHAyq+V*&
z1_5ua6^^-P#xvYvToik;QYVSOIsRA80f(1%-q#vXn9v=TcHgEN*L(qKbS`xtBv|_G
z(T71>Cc35*hEq`GWmBk!1B6q3N&%0AQT%E4v|!-U@N&*vxpK^VV8g#WfF#uJeloM<
z?!w^aal8`ERQL&ViS_A1FiZH5|Fc0-R!;XJHo+DbgP7bF_se{@G+ZIw2LvwfiW8ZX
z_TVJEcp{{`5E3bR19HAS1Z!fL_@yqs)0wzF)_R2pj|x8;WM^ab
zbYsOm*Jum42#fM+k4JCyfp2}7G~i(6%xftvxMeW<&EqiHam@b(TPtQXIpa?D2ZO}P
z$B5nvbV8;_#rSo^Q!`^$3v-;e%{V5(#LJ%)cdwU+7Y}li4Xv+JEg|*E419NC*6Nb)
zulIwU*?H4bCXR(|stlGNyenEj86E%Stio+!cefOp_w%P2)wycl7UX1G>}=*>2*9yJ
z&HgSsvq`OWD*~$L2Ef1c?2Bd|MBzXwaXB_4WG;Pwc}z7BOc_>VdJ~SxHQ3STXxVwP#{Gu)K?Z1!L$U
zc1S8dwB4l=2EKxj8Ea+Ssrh=gaCZs{d!##WJWx)WbuGzcufi|qJPuDs>P#E-08a%{!jA^gPNnsX3PtGp
zX)gd@dgFIwEm^<9h;1=gUX}Af%Yz36GdjL*dfU#oCP|uJ>64pux;eIs6N)OTT>lls
z%ns0pkrI89$(}oF<$as=%V0g@womt1Js6tgrvRUI(28Pe5wB>JNM=SxHad(5v;xo2
zAwvA$29}%i)X0T+{d>a4TM#xTCAe&M4KTN30*Umz{C=j6N-W=l|0Z^9Axuzw9|k}})}SjfDb6S%xmFwa0l)#XfwWIsOut+T{&eTvd~$z1;s
zI|w9t)8lZ(hj;AU=?Y8s=+aGWZTF4Toluoeq^e;AQT|)&M0EPZ@Fo-
z)aY;9Cw6lNS*Dl43WF>fs1*jJq3~M$EQpJ~BtTtE1Xq-bO5U$&IqTSsJ7?(J*ur_M(5gk4PaYOW0
zxBVX+b6e5|dxUq+dv$SV-=8%IlKSXUQ>$FlwE*XFuT8+(EU
zkdMIK1DCwilz;)Ik4E$Drb&<4z46gYVDF^|aj4i+H@
zUZt&KC!DcW^N{#SF{v|0>@g@v!0qUbI!OgMRTyYmHry6mzJ6IpJ>4C6-*kaz_f>1w
zaD1fhh)J{$jOS%0vAMJW(qQ4lG$jMmRafnUVUJPX4H06jWbdyugN<9gj!ROYz+%HQ
z>CXaA*#)@|`9i^V2rO5NJ+O4>ReMFY_Xv45WRwWYag*r4@g6%IBUTYVRmQLeWtT61
z?U`5!Fr{!AnqLP)bF9xW1js!CO--UOgRTVKB8$WVTe!&LXC`y%6jtW2f-zhcb2UROoEw~1SrGn
z26=oBm=9{(D;Y5MP-Nu@fcuWm+7H+3rd6hH+xK!O@T*$@;tq}oGOi+_!EA$RGmESH
zP;`{qsch1F-7jjY>h}a@Jd#SWe3{PU`8ImX8LVx_^AAa)4+a}gAQer0MI6IdmiLyf
zvTTeoKPSU@OwFhb`8IF~P;7Z?P+9uz`fJi>0RD9Y2!>Pd8s=zli<0XMTy&TapIzj<
zbfiL%T!L;7*%BiesO5UlO=wN8Acwd;G1gj)Bkl0Ke2#Gm2Z@nFo+$_x_$R^VPy@o#
z3+Kfi%~^5|z@2vnnuFm8%O9OH_wtb%x(xSsBx?EQ((|Hm3|SIWmf+HAf!z~34O@m5
zFu~Zs?nt;rhSAWns=oE_DWH@v?e~u_)CD3RVB}8dV_3N2*7{b@(&(hLi+m*EEqw;e
z6mnz63G<;8hQ|9i>3~%SlF{r`;sL-
z5ejuDh8@Y-6L)fj^Q8N)-Jg+GROJLuPIie)61oI+B`_0!X1riJ#4cR
z?*_S%0fr=W8|e*z=N11^TTn0fi}t-c>c;D=!&~w?1HZJX!F+`5^HJvso6ky9zCHBr
zAep5D_8~7FM0HbV9E!-zS4UIIt1ieW--Yv>w1!{zA%5@_(Xapj&EqJ-{xalP0Q%1x
zqNG_au})~-Jgl>Tgh|=&7u~z!;?_4-t^4ioS?xeT$R&1*m)KPA{Ck!%oABn3t{n!8
z#pBK|
zDerO_^%U}AW{*oUr?oDPzFJfXIdLqW`<-Sa=CQ~sVTk?IN3_zBVjG?9O)qEqGg9^g
zk{SwO#nq;Es0KN2()%z!p#KQcDhTzovFx(Z(Wg!E~20svKd7dW~b_b~`Vz}_~$vQcJKEkMl#L+eP%mi9sR
zeP52Gw;Gt92z<5dkGt5`iU(j$#6Bo1
zy7~U(V)Dtsv*;_uNsUQ3qPItTZ;e#^8P!8S2qr7+GmgVZm>N(?#pZ<%Th3U=+mM1o*Vcx&knYEhZ(U)
zqg?vqr}IgfM7!CxSYP1D_d0rVI*iE8Z|RP>Hr@cfkS&Ram4ZX+Ir?VgZ7Xr#1i8Jx
zzkfo?Rq&D`cd#r$LOnuW?|S21YyII??E7fx4aHi{{vd$*gtQ{09c}lQy#GBZ2*shW*Yf`sZyr`YO-8oXHSZ=3*0p6iiZ$|c5~$|!m;r~
z8g}6SDRv`y&nKRq!wnpS2PeZbK;e>17`>yf!fIF|^=(e+^daZR+MvyO;<$)e
zu)f30>Fet1B}6u@n%WO$?`nnHgV5CGOih_*E&MNKp6Be=M;8w;9Hg6htVc!#MYHO0I#
zgb>CjB@mqoY;SMIHtt>e;>dPlEN}CEq89y8{v3e+}gJays+qb?=`BpA>1(c93xsOXP(uFkN^dcU7{
z*>uK)Gr}~rAmGa|*szKVonXOMD7{fPtR*onGFTkU?L+AAy%m|E4GfKr7(Ny!{ICl?
z)-f>AZtn1mpY`zz8pAo{G6w%XCU5wi>JKO_E>807SkgFYx)ies(ViIR2yMe5$at)x
z2hkzu0qB6}H}MUgM+j)+8Q`Joid@|e$Sw=pF(o{GKP^-PV4Cu1CXt-hq!i
zljSn|a0uw$LoU}a;A1ngqg@O1K-D$UHG+aI->(V6=bN1m&DC@|^($v(H4lW=??dt5#uU!?Yfq2IC7lcuY8a)RH**mrkEPeFVeN6v7%^_#sv>bv(6FM8%2oRzcMV
znhA(x%S3DR>a@!JIzJw(AUP+$Yw~Nr2ld9~O!WPkSQ|Y!(o@(&whMeL6Q9r>!;H4q
zR*<p?baep#T&-yUD2u@-r(Z?RToCNPo2<|!Nw$#5ujDy=7=$Jv_
zFJWV>`)ACX8L^U0ekUp>KuZP0K}Sr3sb8fBgn;At9iu9s%Vt7=vfV-3aAIlBk&z%-zM~iup_J{jT~44
zHheE>oWNTUZJ#c!13RS={7vM0X=who;Zt1F!LFeG2$&LYM076<(i=|h<|d3;T6F6z
z(w5-k=s)%a4lVyXqu}#THeHf9QU!=Rc(6d2A)o;}SYP-vfDqUlrN)q#hts1@-S05z
z6bty3bQlDAti}SF|7X~k*_1jlC=EW0p!r91#Vzc~yA#tRss4oXc{5sN36%MOl1oO=
zf4vBU9Dr2O1UqKa(i?BmL1z%e+S7$dQ^3}5Mf4zckqZ_fuJO({9I-S+48h^9jA~lU
zyue|5l8?hzpb43eyVhwtC}56ny4XO@@P8W&?B{VvQraH|11m$yN%Y|rO;3g
znwy3d5O@(7yfB(Z*jGQn^G3NjoR4Qh=T7v=mi-{?Dq}Tr!K}LX6B}kdRCM8p4&nRF
zg=O*pdqgd8%x^NagW+KCbDg0#5=^2kqGWf3xen7XTzkvKhTe)lfnXR2hER)P|3z>+{KF|?t*2N;s$XdBsa4yh8DvLj-P`joZ3^Fdg7PhM
zgUWxfyet43{dKTAxZvWI<72bu^6}AR}{6aS$3p_QFwwu67XU$^rz_HbkBtm1jHeIDf`&iuTl#|K8cb{iaVM-
z?QLWaPkBM~Nv9!1f$FdT=pgHMqD@D1d`iY)OO8gPel*7IYUE%KP}B2Z^-PRU1kiafKdvxQ}p?SW7HOe7h%Gk||!d&K`l#pi;j4u-DN7w5F-u^*{_=&V5;
zuFg;4wMf6P)z+_L3bP4Ot^kfI)viI}po#V7I4YF)vxY0O*{XZJH-J0c7BFIa!vh)o
z8W`t5>Vv>A
z;Rz&3WKn5jBk2CN^2-|xa3F(dGU$Nn6}k%cQ?#f0E7^cZred&WgQxfcPjIOSzQ)d@
zuGUZVYLQh7dQn=5KO@aNyQg9tY}=rqy;yg7D9TB0LXW%ID_{e%Wfl$A(4Oi9xE`-@)E!ioKT^Dl}J-g@$ybc)|f`aI}Y)5fq(
zJ@hL9<8|WqVZ!y>gMGK7Gic~0U{wJ>0B6%3LF($Vu5qD$WY
zt`V@&Ea`!z2xI&(;74-!Y5R+(t;rcO0
z2M1WB1Xp91QKObn#WJ|+Y|>(5p@V${gM^pnbWX)!m~GI<2CssRhi|>kkV!NR!P?ie
zB!qWX<^YNqH=^yDm?(-(ktvxrKY&ukMor?z4Oy4ChAHXrOPrH1&&u!U54*cYbIZ0dsO7jT=k}ME!h|NoLJ>L}lhC!Dpq`yMr
z7;t`0a^KdYcCd%{s%ZEBoZ#$3o_t|{2kW8RKv`5CHhERCPu*f(~&aKFOz5xjm;KvhB0RS
z=rhN3;XWuqG1{f9hBRtFAwg@kJA51PNZ{z}wmK9$6V8l4bW;MGaO0$b+HUc{ly^i<
zyk7%^{2^4HKn_UrZ0YF7%hnY@#?oqgumFhsvr;cd3U`3ovm9Agz(0qE-Bj3d`=#Qe;@%o_de#OcPx5tE*zOK3%_f0ZkNfV%i<8dQWXR)>_K?|q<=`ln(lmrmtd4on
zlH;Eg4x?9g3fuB2Jc}_ZBXd5SsCrbXaf>9SToSXzM$RGw@Q~AL-%ocI58fS>C`s07
zE6w$r8t|BoP#UpJqv=pBlf`&*RFLv-jBI%$A*+Xp!NeW&6lc^D-;yvm$u63Riy>Y(
zQH5e$hNrj-f1zCnk0G6b2NJY7-%~{idJ=h!(k?^?2!9>efhG0)*mOS3$jd^ZIcY2|
z$@o(Iau=|+B*5JnD7f9x5d3O7tKvJJS0_!BI`@6uu|_q?5jbQS&cH>?KSPKATmp`a;?#;98YaiOBGI@+#~aEghcbpI4}IW+
zssl3>%F|G5ytFy@k6&`vGPL}@TL@R~e-2dzbqC=?mIJwH59SItf(?Ro=%gjwKXduM
zuMLR3B)b7qcyfK4aD32a*g=2x6I*AJ@(GqJ4SJyF1mFe@u_ucGHIXn79#>3Q5fi^`
zGV_jNM3y4or)iCcaNN;|Bs#8efZ*61j={~jwZAO@b@?gtZ)*X<{rJ2T1n6y-zX*K%
zv~jO^QKCbc4{Qo=gBPf#Y09Ch(3(GCB{^FXuXdruC&+_48&{gMwy7%hV
z{z5{7(N3e;kq9U$rSOPixuE~0xkIWLEb
zAAptAzR6BYtMpmIeiO@xi911PI+=x2M|sl3V5a^u(9w-?7OuyNyXM|1PjC}Rg;|aV
zVm!*_Le>$N52YI_Da_M&F>Bh2ix9|DtdZnjv+=y%;X5dqH_bmZ7xl4Tf3~T!M0YhZb+U
zFS2OBSJ!CsFB3ie$D>cTI=$?=ZqT0-?{)W_
zQ;b}v`mm%XPf26z&uEv3Vv$EB4l4|Hg*phhTUp3DuuZWK8V~IE(-3f;h}Oz&Yu^7?7h9KD-0&2=|I&&BO~LqmK1E~
zdlIS>I3`$CRrTP(1AP>YMQF7LZWq5OarR*mjIZ(RX5*e2f-ei|1Y1tExIbL$mQk_?
zNiDQF;p1bQHf5Ra@z|z3+vS;>DQNu9E=N1)>0M%u9bo2u%
z_3Ulu?QTjdOJ2TwS##f4K@@#QL5o|UsK^b-ELtny^uAPLl>f+}Z1B;eUf*7+VKGg^
ztnw9TZ{m7Pcw1UphVigY!0bRmO^qK6@fA4spV{-cZri+B7}V&9*u@*~*3__rM{ysb
zFkh$Hs^Ym@aox3mBKYlY9>De~#$k->VS_=Y5&{qBd|lDKH${;I)=Z3#+Ix5?__`Qm
zOhJ8PU}nY%B}zCVF3wbLP#X2ut&4hg!CH7i;U$O8p^-VL77QI6#6?9#i}v@~J~h-g
z>igLioR_y4)Coi#WA&y7X<%BhBk5Tc5TK2o_({~L?LecVw3diBDJv)_fJwxPd*=7+
zs}K?(&R(|JT_LRkZeS3zGvaj*X@Nd4ZSms8VGo#t_6q?zh9j9@
zC?UZHCiPu}O(?Fpa#l&C-^f6qz(6ELbXpnZBSCzEf)5gnW2LmTgt5hq=?biJg2CI{
z4oO#ebHW3Y_{2m91WKEVK%HH?cVihG#pnBgMBVa4meQSYp(q$TRo2&Yk%&vR0pnuC
zeQgXj$AO^PvPwR#y1JT;GF80F+Ve&e^B89#`ktJrh5&U|OI17?qkd&@
zy;D3qJZOs`OEp4XZ(GRw1d9#(!5BR=FUXB?vpyi#+?5tpwOC$`-OQ|`y`3QVpQ)ioz*MQ(3%;-`3U^H}3x3<1>Mf
z9HAu*r4~}rsc6^FSiO36&MHZ_FwO(O
z&rysLY6p-9V;4TmI}Jt8vg^6%w{pHGLGW5k!(EDpkOSG2B8VWOx&iUCRF$=|KA%&(
zDl=;Dc6p5D0)UGbH$3KJrYIL<80{YJIdf|Aeq;z-w!M84ZB`C6bM7K6w0CxfLUJO6
zhNL6gsnD4CgoF-2VFs3#ykq0zQE_o6z|fmPI|82uZ2u*`p&5=4pU@Q5s@JbYAfi8>
zlOqeC!BCh>UO8f9kcrmpT`1X=K+KGfkKc~dHruX3m(tviA3vIirEGp-prXH$W7n%|
z({*)qv9_iyS+b-E3COm}GqY3@W=*mT|T!S!2j?VIIzFXD)q)LAV9@g{qGrkFzlE=LhGOG89_CFm%%{RcS!IvK89$x5TN2acZI
zD!~MP!J<&`F?Y(N(KYXEPNdHi7}3TFLO9=!cmzt-N}v@{XU+tH()MH3
zEFNncbXOEXz623wK8U&}3JR9O-zNyv>B_fn#b}PzoM}_dIgUW=XOEP?)7!fmZI^J6
zLn(UVKHLLWs2?cDfV}h4)lB9JPy}8@0;kJaC1r_uiqnxA2f@_A9(J6b`}Z5e_ZPdI
z4Hpk=Xev(MXE_sW0&^R@@d#?+%S2rZBCY1!d>fZ
zle}ZxCMG78K;?@t^hNu?0DEQL?+Ea8lt8O2kx$`X_bL0q32S3x1Vb(;2S8y}
ziL-O{o8NE;5X0;}VeIj!F+F~Rdy;)GB^b(_Vp`YU+~2(Ab$j>o9k<;wSPDNEPv_#g
z56V*!XbEFuKk7qIoig^fWYYIA+h@5ODN}PbxPn_HHc}XE8uOq-v(c
z_4n>gMXV59zHbQ*UksYq$SZ)I$$lepV=5j^lydN3VbUB6rUj(xhcTxa32O5_>E_?-FM
zZp}sfSpT)BDRU-BiXk{#-kGi$Jcm+$HYj%n*husoaEjTZwtaDHzd}+{k|G*7gMDrD
z5l|GBIy5?&Ix9IS4x(8W8WvWC#O?dnmnyY^%a3WCbII@9ikE(IjtbZTM^QVCvqX!N>6s+kn%tzz85!Y3OVEac~=
zvE{Y|3jEsh^SSW(Sf@K4Z?gAMcYC7Z6WBe>niD&d|#KN7WAJDRBR$~$Ke
zMnGu{7{8UkD}xZa+;r5{8wV@FoGse*QaK|lOYS;)du%AOz+~fV|L{S=-p7EQF)=aG
zKQwe7pPxVPfYXj0+o2b=xw2z=QgX5q`bCdXr*&H}?*l&&rnK6~$SCaF>C>mNM2sMX
zN3PE4?(QBYE}33&CGS(#uW4IWeeCEs0$^z_MrqEX_=|XNkH=T)*%AEy=xm0KjZGSO
zYoQSl21sBeProXKcZ)sV)zr@LdQp)+-40&fU@-W&pFVxcYiMFHcnRgJBlMYqdV$*W
zwEcq6a}W14aD+4L4BC_)cO#E>FUKEx!4K%DXiHS3|Y}w+|_f8Bd
z0DbT|w!7wxtL$hsQZ0v}&`QoOxG>j)PLQdY-FJl^b
zj_CEUAW0ei{d?hp1q`r`R)Gb1;Jy$~*OCOYsfhK%BO?wdtV{Rz&HL5+HXILip}hQT
zl(9&9zL-{NEdWN^s1L+!Ix8zHx1eAs&WI{xdha_!L*G5Ft(}6BnPcY6Rp#ci;kn}p
zSh%LPwgVQ8v`@&kLzoTGWIG0UVWG02DQ09Yu!_#bX7DojB$Yt
zAZ&w~wLo2cE)-gpCk*|!Nb<$PU?3Q=nN;kfGP>#IM|^FStc=nwzMb-{>YjFy-|sTk}m8H{bT3TB|i)vpRVJ+NF!KtH@sml?UrhE
z?+z$=`S>v>4qK0f!s6A{*7uNsn#|ze#C?x@?$HZ%wNk=7JVEc%S60?o6%?vH+k5%c
zLD~H;O(dEa8-);B#bpIYgB3G`)Eh%X8KLRoX{8*u|CCH~I_Hscu*f7O^4lK{BOG4m
zT~M~-%jnn|Rq^x+i!VL(_)}u;gJ7YgH;H)1&AZZ(%kuDGYI5=m;r5R$__3uU-x@B&
z=Mt%n8=QlE@Mhxv2j!HD)hZtrgoTFsu;3{gp^SN6AdkcGnXVDXh1$^2h_hvD+%A7)
z8W?1D)X>X}oLHl(193>`<3ZKIO`@~b|G4sHx13+pspRH^Y)ihr8f{4
zUsWZQm}2QX@FSho{It2%%V*na`PxlW@Iv?snf&}S+U5TF^S$G^9&vGrIAq)T`T2Y2
z$EBunt$sA1hUw&IAB}5aznvVLwM
z@l0u}>d5Zu-PZfzS;0kv!IKo9Wro_e?t3LBnV)nN2q+$rR1*2f{1zLdDDTsT3m-zW9qL9khBhDQbIN(pTEY_O8`HT)
z^|niG_}ZrT8@syHF1n|~d7F&^P~Sax{4L;wsDzXd`R0w4HFwh=7Z1Go5<1@M=aVwQ
zXZFbD^zC_ZqaQESNxjO;JEQ-!dNevh?N@8-C7aB^L-$6$ym)hIQ||rGUs%uN__l7I
zHO*KwTrd4f$D+7LjZgouX&=b2U0?gISn8={N^ruaTGON9;WN$5%;bFXFEn0jv8usg
z%ER5j^82^KVxIv20ip88f%(6NrDZi3jL5#N!TBcRt@#hUJbsi6e$qS?`hEBOOI%8(
zUT-eG-pEK>X~$N;v3m95np&}Y;Fw&D{o-73!0@Ejs>Fv69xxam_3Gs}-d_6P(CnbT
z6P99^9v;j-etc1S`b0Py*|9yE=-%v|zbe+)Iyq{(#Hj6dKphlya;g`ID{F!)?dj_q
ztHqgIxp|dAhFHE@VbN1=9@i7OT8=(zuA#=H3IIXtWUm7PA%=5>BB@FPmdR^ubAVGx
zVb$a5+igc`xV>5Bq!r$Y^TyCN^Kec8Hu-surv3=-s%`C1Y;+Bp00)rTpk
z@a@!=uJh?i>Ni(a+u`g?Mi_*f09KLn)r`Hz{X@AXiSapeEvJ%nrRNW2r?CXN5C6WD
zQ2q4SkP3l1Kl7OHNiz8BthHZ`#d#sv{Qa`p&UfnH?@gwtH!^HCZ^p(-U-`(dM|sub
zNBEfWak@%)gX$-b;=eoR;^PVZ`=P9aCv538|M}Fq$$U@4jQ(y|1A`3KJ_8C=lV6rc
zCim;#Kk&c!FF&YqIZvd8qh?aoNa^OhKE@rdb5I>f-uB(QPoa0$j;yn3N=_EsOh`D6
z>^SJusaZe+ylA*u;GxHPMMd0zM)^^*+2dExM(gM)tT6KODt3st{DtO}!!mHDyuAFG
zhdW-}Idm{=yt^hfH8m1_8&Mz?FsmR0grFkiOA9a{uh>rD
zM|w18@l=<)+}$U#I7=q*je8uv`L*toW3p_RZ-{S}YQ9PxXUS8+oqS7`lz70nbU{Zd
z>>JR1F?gRwATN-VlDhlyrO=ThM^IEo$yh$8S`S5T)tfh>(9YGO$S*>%Y6b0_lF|Gh
z;Ha~}!2UG-rnK}2aG#?`U@?
zKo*iBDKhL|cP$r!nQ**ug;&L$&(8twDPc|*?`xo@(&VFZtf8Wu5sK19cA~(13sz{I&Uu3
z^wf$dwzK;|Ep$q@#z%Y^mAKP1@P!h^poz~v6ScmlF7uwc_hxyGpn!k?28Np`>}=MM4<`zc_m=1)o+{%A`b|OOkUU^
zF3d3(kL?&ew){g@fmpvb&UN>+F3xKa8ZS^WdT#K#$es=6%cLvKJOogZ!9YaieVv??
zG-uSO5iFP^@V2dLZsr3fRSkfTzz2YaYz=MYP;HTek>A0C)mYuYk0~fn6~q`h-|CKy
zo02jcNf;U;A5J;?&;g|c-ZBPr3WB0NB`x&;^m+_bYe+*E`&Q_F#!RoUFZHR8kkTUC
zzlVaU5we59o>nfDP>ewp1xLqhHGRGiTRqjCOMV*jg;?HF-5FXESr_SRB-CT}(#F}!
zG5LU@T~9>9j>55XAOShNuL*kr6SA=1ffMFZXJdzNaIbVdFE1-EZ-jK3n9~e>5Qsc~
z5A0mBl9ced4!BjygsR(gQX=&;9noypTUL)sP+pHx64?SEb
zA19%zItM;4WRO?)y)3a6C=WmYy#=zeId8sqxtTNOoNYsXE^=0S?NkPG_V-{?*xU(N
zhNS$RU%vd8ox3C%`!
z3LB70YGvDq!6!t;L3aXm4}}6sQJF%zi%H9D;9*TfqP12rt)!)FrP%(s7~X;O7F7b
z6+jAp@c8ku^XJdMzx@FlZn73UG_;K|6355T)Y7^O^UzPDC+>Xu=fWC#aACJ`VQ2o^
zg~^KaJU(Cibc~tW6Va&JNL>*CmhaIHIcZE!hOoKi`)9+8;ONz>D)jc6S!rnutOFMi
zb&o~GL2Rpja5ay}kYk8~5yyH#0Mx@J~!kl$_D|7it0zJ#xq0K*_i=Y-l$2AAFx?Va2nh9bU!~
zbo@A3Z(DyJJ)!&gzg`zTu!jG6UG%_An|ic<>}yqOSbBI{@_LSizX9bXCwVCGEA;}pJBR8+nL+guM`<|^P18{q6uYf$E1r=zWeQ3Q8i`H#~tV7f3@t+puORk<}0^h`#R|fcw|pUx#flWjw~P0Kb8cS
zMGmdtOw+u_<&frbOrOq!UKibaaVR*xKLCI5Wx3UO{zPxz;`zZ}cSFW=L4
zXIr-}LtI^b!*|iYCt_Rduc?LZxI|l92)()I&6{@@;0Yw^R=Y6Dr^Xv+pjGt37RDOE
zmE#RD7h2}85p?+0gl}|n1167%f6l-QEkX(0E3H1xR{tl75*K&0SM~l|uTjlrJ?G!@
z4wo)h^j}l2|9?NQnhnCa0s79SyH>ARQ;Y6L`}_B-6q5_K2;hjW0oq&_a5+6)9Iy-5
zyLaz^5{KNrtwXIY0M&-!Lfkx2mmLchii_`dNM4w$sglFCpvn30*!O8;V`J@~J{?Ez
zyc!rVygTm!UZoBr=40{x`t>Vw-g4;TKvG+%tjvpcoWZ_*>gK7sr-0_VEPV&sEnpd!
zZ@V>@Gk1bPq|}{E)Xvv+pWRgw_CpVwYP8Y04e~-rqvO^Lip6x)g7=sJOaou
z<|IzWxZnPOavX48ya&gUZ|>Z==|DN&L#tx_wF2l58qgPuu3Vvy;{YH-9Nv$z?-0#T
zLJS%XkaNbuW57>R1ff66hHX{RjT-_;4BsOw=}zSk7jF`75ypR|T7=S1erR15Cf5l#
zk=i(5MKIjmdw53)vqGqXpC`}CP|HZf&wFTe_k(<*apxW+PGPXvqlQ)K-cK{ANh&QZ
z&Co}LLhBfi?kpsW4oIgp{rVSR&0giLr{*MJag5qy0D)VHe+jl72LMA+G-%NWJD!{@
zM!yT1O2?*!;^}oYC~FK})o87!!QhXK$yvPxCj6oS#t)q+V901<&f`S5vEw~9V
zEslU{R`xpP)|DD?LSR@0=#cRA7cXB{J$*VG57+Paz#?RMnO^S<39c{sSN74Aty^m4Dkq|iw732p=0F0P`|6c2Fn15pgS~H-mHT~PSqvGpqoR`1k+`^4
z5xa{puR*>w72U5XTwIa7k@zNdu`L#){C}3^fIZ(S6E-|wx_uTF+%Ulp#=sSziW1-}
zpaTjJu0SNHiA73Zfl(63WB3X|p;U_=-=IY}`p(Iub+6+ERzSV9pDPd#+3
zvIM2qFJ81m*N3juDgelE0%W7k1svwluXFp9EGjOZJ11WaA9hW?ib40;>EA<2+`_U~
zB90ef{>j(23PSWPPhg`>4gJsJ_5mj5TBT4i77VWR!X-;MrKHL`&W47{&3B*0!{f@=
z!x^PaaNj>)R@;|T*Lw1cD))cC5B;Ad{r{^U9RI^M;1lhwx&GmL2ELev<_4EnZV&!n
D_}>_4

literal 0
HcmV?d00001

diff --git a/_images/c80cce23b577fe8f51c3f2345a8b6424822075e88c7efc96dd1bcdb3067489c2.png b/_images/c80cce23b577fe8f51c3f2345a8b6424822075e88c7efc96dd1bcdb3067489c2.png
new file mode 100644
index 0000000000000000000000000000000000000000..0ac36ad21c3da355d8beab8e58b625c77bce9151
GIT binary patch
literal 26722
zcmb@u2RN4f`#*lS2U3I(DrALZ?+O{&drM^Ry(teu$jT;rldLGCBq4j;*?ZnrnVG-y
zLeKZ}{r-Oc|8e|}|L;DI=jeX8@9TPx^Zhzsuh)5A{AHy@aW0ZvM4?bP;$p(`DAef=
z6zW9l`Lpnova3l^@DI10h^n1}rGcHJuFW%)l&+nXnWdeX@zWa)&unasEiG7?IGI@P
z+%U4Uv$Ex3W;Xx#15B1ShRg#O&-=keE?9}F*`iRmy2yVgvIH}YQ7FSUap4DwPVtLF
z&UT9HWBb1h@2TD1k+|_Z@BWwS3#T7oXT4Q^_wsRlWw}FfT)vWNsZotd?qXrTNk@OL
ziRlnQu4*aMc|~2-)CG<67hd02#tV}ytEdtD^6H<{4{wC?Ht*O=w_00REb*y*w@-8<
z4Ai~m3nM{Z@v^V`P8_{OS&I52lZBU^Hy+N>yV76R#vne*d=d`RAYSPmAoFc2??eT^T4)H&A4rI@VQZ
z&YfdmVvuv&{KDSoIl)=G-EX9p-6IG4o2(blqRwj)22Mq^
zRZRr*t|7O+i-W4wA@)r^N8u)mE3ozU`lSZ(ww9Kbo-*@+ZCYYfEop+BKZpIiV!md@
z`>tQn(bvfMoMbuT7GHfifjZgsi&|Y?J}gf;S6y9QQAw$1Za0!a#iS{M&Yb`khK*g<
z{^AVQ+V5s&M;9Gc)#zKdZYe4#P@vM7(?+YaODI(b2OWyGaMTqU`MKnPk`~FMMN&t`#nR{-HD~6iNq~dTw>~@ZL|8
z()l*e{o)ti-ZEP(_%zZBfe<>(4(inE4<0<{upD0S;4|r_4Z6ni&~~QPp2F0`q!UwE
z<1u~V1d1ysJzb>v4I^g7FaG;?F)i1{(%Ts)QCqPgg8LupCg!>_85kK`(jX{xtktRe
ze<`pt*X-JeckcdKm2n|Qp)x5M7#(Ag6*l3D7U8J
zDpy`Ua#n*^;^HV&by@>;tnM|Jx%4QW>$Z`G#Re_%ii#0CTQo^-DW}d|iq{oJp(>S?
zl{3mmJT#;;yB26sC<=KEje#+1JG+vky)6JcD
zX~WDfI4G|~2?+`LgZ;gpLLI>~XWX4JCNSq^&jZ&X*X63)8K+=^(b3VDLNN35k`gCT
zE7bf<9l=Q{&bwDzo0&c?q|KZ{wJVtR=EJOBeH?_1ZT63Z9KY6cuhm3r=
zuUIrDCT6KYI#Yp#g@w#PdEkR}>Z2f%9+fL6Py!3T8Ys}Xo?Akj6QiR~7U9F*XL0Va
z5TI%Y){Ut8KQ31fOq`T@%0_~!T@7aJMxnT3ato`~LqkKC8uIh=w_6>nQ_ITA@I8L?
zmzwU}f{z8RX9@FGV+RHXD!_X1R;^>u%V`wnP_=U~i*7B)p`K*6V%0k&d`|EDvylzb
zsqv^>ZRO>??mCm;XgB6V)MQcK%&wN1ocv(9dZ%EzH6fRw@KfijEC?~1rY`P~>)a{(
zdpo(w$)DZL8iL74cFbsn{1?W;T6#8B7`5js5Q&JiayHa3=%oo!8ILQG6d
zPftHT5rINk+B8vi5Hf2ICf_IJw9t$?6N_B2C62SOuE=u_qmvnR8FhIDK5e%$`XDkY
z%8|a^#@2RytxF~@0vk1&dxtPk+j)wBQS*bWuC6ZG@Qf9gqLx;^UIXb*v$E=77{f(=MKN@NdrlNEN=12f>;{)EkyPKYtX4IRf<}&V2qbMu;_W7xEv1C}NQSTQo
zUf7MeZ)Rs@iQ)3Cc(w8_^T9`H@7$4un@GsWpyRo1*CxYdOxEXn3>wa$qVq&Q+MYau
z@#k5hq*zC9QO{rg-_8vG*Hg`ZyCC0upJ7sD{nOAEgD&K_S9yMWMNGnO5^{&$saS@p8q5c7o%!boPH--XHaOM~aAgiIH4Lq8{LH<-z`r>+Xw5yF`p#e3o$BUELST1)A9x@NYZuokGR?H#JG{
z@2zzqF!srLRoZ0Or2QFpWY5w)@bQ91h4;GW#izW=i?jHLkr?R
zc<>6%HGAApm9U&w5i95|Y`|_|=>hJaapFVv`C2p8t|Hk(cS+d%&3Bj4=jZI28Ovvr{m8?*_f=NjydfO2ZR6km72;{Oy=;uS-{w4yY~o0`YwO7V
z2B&#{iFlIxMog=~j+uDpj~G^VhXvIk>jtv-1B-?mXHL3ZrtD~^S^6+>iTd{Kc{srf
z8=8J~$&iL;nwpyAjf}F+Ub>zIYp4WSnXI+>$B%C0P(y4O?QZ>g-)Dww*om=|2
z{H9xgaT<^_qT9pPR*K9Wf^-N?3a9W5vra*_LMHvKTMs!$+*U6nJr0YP&LnqRd61r&
z*=$g3JpR=`!Phd$NCM-&IYbj!Kki{xq^hW+Q#h08+M3X^9#0e7`lnaJa&DoxO<7p@
zpOn;8pig%Y+SWYN_sO}K@Q&)+pFdUCmq&Eq4#k%!1O}(j*HO|@m`xQ&bq$SD{YE@3
zk3UmOM6B{VSUEAQh9zDMFt2Ps_U-E-U$+(36FqaXhf9+8erBg^xd;4L40SAR8
zl@Jqa|LTvw4h*WYP3@yYenIuN$uk23h&oNkrRwjVJjhHZ)Ks_wxmj<>rkPPfQc_V;
z@>N02zDo}poeMNiMaw>Ne0)42EGz{Ax2mqHqx5<$We8vA;@*U?!0w7rg6IC90Dpfu
zm|cccT<@G-b93{0zNPzPV`JlsSXc@*9(!!&{cP?KcbRL~QSC&0*2v*mZsa$FnLv)W
zCo&4Vdi{EyXhQ9foZCE^u`L!Yn&)p&fPQQK?MtD3wzgCovM+FH9Nu~Rxt+S5+
zri4XBF#uB?As%a#?z_Jlc$Pn{R`Rvo#fI!DL*c#_>H$R86mVo4*1N=N?BS;3cgT60
ze=z7mbZ@?feH;HKEs#Fo965!BQB*?^GqK#Z8Hw&2Y5>=B8v~YTAm+$g6zMh0*AwY<
z`{Iz=0U9&#@Thz4PEZV?hpJr53o52b978w%%p_qxpQGpoJX`z0+P1chp6Ptd+>;^_
zSOVdm;JQ?ymADE&nR6Z4N%UCpra+QG0%Y0}Q#6x#-+PfTyGH6Lf302U;zb_kko~XtG6>v+@NYyTr@(pg3PQxy%gogL;^wkd
zD{Rt{yxkJdt*|-lT1aL8p^;+Qhe*2}U9)fBlE|;YT)mYN8yma!oifA-(%klJYKUDc
z_lzCa0q}7&x_X1%eS&nP9cbY?2nNkCzTbN%y_Ob+t2Bawf=E~mBr`XIh*=*|xUD>g
z&2ct{J4qwhA$agdhJU5@6p5h6r+Eyf)VS+5Fs8~j
zI(m9}3yT8e7*JDDWx+IM1pcJmmWoXSu%@M>%dTUu`O{))vcLNWVcLV6O})L!<|EZw
zkp0l*)$5E%7$XoG85^6E1h*m+*tc7zXcIj6gq#`o^<14E0MX3XuP^WYY4hxb>1S<@
zcs_35MT{B0oy%=9_h}j)7kId$!2F~lNDI^J&T&l$t~z~
ztX?HEAO56<>|L2z->r{B1+QPfW)dXI?8=5ToU2~+)CY+NsRSM+*UhD#FFsi8kVf;h
zJ}Lvx1j5)!9i^E9vIi4mm?)>I8NabSQV1850o@w#^5yLB?G=`@qYsb-i6j0EX7ef|
z<2EHP??5z{b;_6>4-SZc-CZ}m$?u^{t0S(<{6b;BAX4l;v^F!>n2Fs>^w>7uECO*<
zXHrTsP;LpCx-(?B86;r16K*O{I$9F>%0DRxf)0+?yUalsbEM#F3Uw2TZAh|{Hs($dmL
z4hjy-g6-j;lH0wGXPCFj-I=}6dg{dj4yn;edN2(~Pxw-k$
z>iqotD@bB`0BZ?}Gh0b9%fLK*TMTRu@=n~hWMF3Iq$0*5Vp>?MmJ!_Rey#s$YdkPv
zcoRf7ao8(RfY*F=uaytl1YRK|?47cmoSeK?Y}h7X94wdmhh|?q~Nw`;q<6xE}3eyATp^6~vDq3l1UWY>fsQwPP)_L{Tu)Uu+lxj*Og+jwKZp
zm0hK0d1)yz5E%B`GKmWUgaic7cDEV?mpW#!Q3mt*u8&lJ9bLF^fu(wH(bAD;xwuV$
zm5P}8)5@0%tPm`{Fz`RqaWs50PBgAVQ!b3f4vXrWMZnUKeT7K+2KYbJfOYXAw)i)S
zgDufb7PP7FfW^oBI@^7W&cQt@VmNJXelt89r5%CH)kb3Xv_1FMFHw9nXdw{_D>CZ1
zRd*MAq7J4s=q=F7Rnc}%Z?**@t0%swa5}_(DpH01
z-o5u-cEK!q-)L!QGMi0-e`VH9jMe!)HlZl8-~E-7lXFRdhZE8X!odCg{okwSU%YUk
zV;!wiSXRcd__HW=N2bgVyKZ(PzA>C8HzVT_7U7-tnu9${kaBBV&f^mkGF%tmF#wV*
zuMic^&Kk8O@TxRNF{@~3XoMskC?YU(?$Y&kd$bl>w?q@T4-*&$`Rb)PU9V^1rX_U~
zFuLz!R5+@pORYH(>8YM;DqOXT&jGG5PT9+Qr-mH$?sPXCPi{j
z|0Osa1dvyjN2qYMM6N${1g4;*_l|C*)o(^Vyk$#fHJ?
zaI_X39UTuQuXr#79}h1gK0eQS;+y?7>*-2Edwb7quy%&WekrMFrGs2&)T&(jC#gA%
z`temFqRa~08HW#oL8P40U`wk_#(8
z*%#6HBh0ATV2q=@N*7jcPL6(&Dol1p06k`9SD`Hdu1Drh@2`D0N(g!Gju`-uyU{N45ke7$png5XTj
zidT*YFkHpM>l|Ag^P_m9dksQ3jH+t)cXK76-Wp_OCBr25GFTY9y>*1^E$HjeqgEvN
zD-7f38a5{r!=s~}zL-iREMI5{2ny87B-}P>fL)~s$HCMlRxi!Z|9L1R
z^wHhjF>hj7=JV&zG`oCSh&>t`O9ETxP$>v@VZ}L4Y;rzT3XiR1pmp|`{Bo0((a(r~
zvcKXd7{AiL!k-7b`m9J5F+ssYQghj!%jB&RWMPp5iw03=vT5LozJGsDDwZv~Yu#l4
zS*7i5m#SaiNSnTYx1wOCrJY@$v2liLQ)M^T?}gZRNpT_sPu|_V3Ssj;SVSh^MD`cy
ziTdTybaoZ0s4zbQeR7qA1OybVcvy>p0=zO;r47^K12LYbB_2QKty->qe(K`Ii}G%6
zyT&>cC_Zx-_eES>G*A`ZD$9v)LC6tvO?zXi6$@bt18s9p#CZM?4I;7coC$dKs(Wv9
zq!1Cx=WxmGLL}mN9SeZ9Wz_lMnl^?}tADUcUaG_}Z8iWSsL(mTUZzmtdA+TaX<#Bm
z(BlhP+|K6mvcP6h19_KT2!F=-_|vNOUJZ!Lk9GhB(t+Zqyvi|+{1cLb)ij&&kWZ3U
zV#6w{1cS)=)tRf-!ocq((s4_M%~q~~{C}04yZ~^bIRdTq?AbH2UTafxb0v6}Dfpd&
zfsRfbu#M(Z4UpZB2d+S7V+GtR`}_M#0H*mt`6K!;4LT#ei^t8!n?Q<6};CLkM^9u{nV2CXZ7vZBmDOp*)
zLj)z~uv2Q?$)@`Hdi6@X?CG|oWdVl{5u!$e;tEFv2kXTMZp-0M3LeAAJmK!$z{*S9
zcO2N+*q}V{{qCzvo9yD-kc{Swvj1e-9B>Vn7Y?D%
zsTrnB!bLgB|I70<9r~X2mzl>cIDFhuH8ssm^xSs_^E<(gu%!t6nQy^lxuO*Aiq_WF
zOCvq*dzFvF_SXwN?VWZ(sAiRxuBUkuPydKXg~SPj!`|5vaZA@&U}c=0otNb72a|Ts
zQFc5D@T2fhMf5-7#fDOfR))02vOgx$c1m9Qv?|@x+iTKaV!SlO-4H@i2m#eP(Pz*S
zo8I0o%c%P9zT=>^A297ix8IG@UFTez=Il&*a+JdQ54LqQHS-)t+*Jxc{SNTOrSSM-
zKdxy}F+~W<$rLV#Xm{YF9^fZ3aB%eUKWtk^zs*eYQ19sI09gv>jb~0rS^AqvsR^9&
z?M4}oTfj1rp~74aeSjIaMN^$FX3sy5wcOWxw)@&VZiAU1xc@6etNJb}ze@@DSNK(X
z8w1F#?Ck8KI1}E!y}|$cJ0+4?3b<{jX9q_1%MiH%|0=`5+6K_HRfj!T^F>AujCzTP
zUZczmVaK<{x0_U|$C>^BsCodlh}%y8=m3Y88t$nBbsX@-J7qk#6*kuqv;-M9JM6lw
z1SHR(EfE3W+3KC8F3y@iQcx)vPjiO+z-HKb9T6+Pe*HqKB>Nx+9Jajc5TgRjlybym
zH!#Qm(=MY1XcA2Vx!rB)seS8DfI-M9Ll7D&H|Y!oA09R~HUgrcK|&NjO@tpD3?8?w
zcLuHT*`@^*k3c6YfWHsRn2Ip>0isw`JKAL@@n&h8wi+VM1UX#C6Kz*pI59AT@Pbdj
zCHAH{Yvdq}5i+W$Ee@1p>Tm`5=4PtEX<$?@5rb@_;NVaOph0T+DH-s)1p+2)M%yvr
z2l4~R*6@SoD&Co&MSAu&Y586WMeo19$pIAb;iJ$x93%A
za-cdODZ{@Wfv_$_%Y&;MRX1j}eAfktveSa?Lkd%
zoVi0wdl%dj17Ts|YhitJ^^2$+9K9k-VI0e0$Y
zfhDS46SRdh5pjqX3RcNoVzwQHm{JG
zz#jGp%_T+kUT!fTL?7gmZIYB=s;*BKcbvv@#QRTMuG
z5g~?C#fs<`QeMX;HYnYKqil=-_9Lj#fxa@Jx_z7E&!0cv5KDLwja6Ou^jhXS#v4$D
zXb(zBxdqvDuDoV1-=b#Ep?Cu2HIkj1s{n98?z+G-La
zv8l9(j!o7*^^_;xv5gvPB#!Bc+HzSkWl@-6PEKQ2wS2->vh2$Yk4aCWwjqLjKmkTL
zu0E_!)8E)$H+>wa?>X%OLKNB{ym0*=H_O?yIu+}o$f2hqIxQg(?I@6b&XbAA${+X(E4^W4!#-#4yrx#srS2D*kh?0x%3!GxJhF7B!QsuYKPDPG#J
ztZSiu`^8EhYoMnq-~s2i8_
z=<~WwF&m9fL&-mxl|0O=8qnDcDVp2phrZSsgE;pj0BlNpRI@@PqY|9#|*$;+667PP&KS;jFyNj3O{`bgl|Z
z`C>QYQ^&W#*Lx$7ywa?M$$i|@WoPwNn-LaF(j#vU5z0kf~{64QCmC9cbX%J{8}!SFU{tht*5Qao0Pg2rTKZ%%jQg&u9?Gu)l$f%
zoFJFgMyCNNFo;*0_qGd=`b^^yUCD`S(}ivW`fNH6CTbMHyE*zENYtFJXO
znKS11#HN@?wMyJ&M>Y#(`)?4~3^tfZILyk4LvEWsbIJ{Xs67x4Wuk@}m3XDKNyZ#y
z&G@Z{_I+CqT&(Sj68FsD*dmtz45Q^X{M5&SN~()By3f3Agn6)-YoVwq{IZ(I;%%Qb
zRcVxS*xLTIcfU@Tk;OISJ1DoS$mJ9F^2EaI*3;~K{M1`;Y!#QhjHJlovp6!7XH*v1
zc`qG)RKR~O{yuY`wsK~hg9`okTUw3|zJ1m_A7DrV16tWcDnuC38Qe(5ue=upkS|P|
znwrZ&P1Wxxjz3wTf<@p+;-P6vutYDl*M6|Ft-C(6JGRG8E1d40*>#Y$78w9PWmm;bqlkOahx40_lmPIoJD8V?CSbr
z!qR30^dxBDyI#R53dND}tiyYRk?{r&RJ9m@+^Q#yMCT@rtWAt;BG5}-&Qo6>Tr53n
z3}MQ#C}`$z9T_sp?IJ7(mbTV_z{SNTe{V=ElG0tJA709~ko4(W0TF
z`H7sG#47fUoAv!LHb=9ZMsXLWe!`TPiajd#KhB4f^}r%H*vV2MJKmSgKsK)vpYlhrt$Hg(V&2N-+<;t?66*uqzl+!N
zqU91at(Di%Ms`=1MHdE~$LV#h3tw*~N>~3alKl-kfRz^yZtbN#X~hK3>mqL|BwaR
zJdluqiLt>wPk-oQ{fsmR3&H3|*gW#>wr}#pzHB%7rB6+KfrxlyFnOEdUU$wOdr-fu
zeCma{Uk0K`(@cBdc&AMS5~Cj~^)vmAQ6t~r(Bd*$%S^2;${B^}V-?N6xUxqr{#byS
z{qF_@;^E9bKgAxTUS6(F7-;8@Tj=L-M}>GRDJb2Br!V~wX}t;{GWl1AGwz9ZroB47
z9#Rw&pWzrE7oKLM@vg~)3`Sx8caQKO+D{z}b!w+*ahZ6*9?7V_Q)0D+>;Q<1}4r0
zo|-Pz?5HUAyCyrHsaSLa{hn-UdwJS>d-&DOqqrTV`ERhht5?Ty`YbZoT}wkB5{-Vg
zyG)vt3VJ_+C$1FxZlak9E#)7G2VLsr*)`adLw0f+`X>I5^l$AlOy**6LX$Cq029QG
zEF3|P0~O%g0zYkJ(bA1~4SX*cg9cRVc@PgnMz$n?yEn!6c_X{(OCQgi
z%L_aNf&1qmz&Lw}RC3=}s}+sijE#tV;&44Amj9_2)m-rqL5^)n^f6p416X7+iYXt8-8;nq1k=L
z1euPG1JU_eYB+Y{cZRf?#CaI_wTrIYyq!5m8h#J|DzS-Deduj-9xGM7v-Lm%;QL;<
z*^G>x3O+#+bjF@IO7AUv#%*ch;xBU9O3s{?9uGHPR3I_L#(D)oeU;>Tnyv3`@vt`*
z44g+nt#dUYHXl|{qLsKXYmyDla@C7aquL8x>iuhTOB?m;hSO)ixfn4)RIWqnQm@>5
z?P2#>7EyFM&=RFA;xofxDGpYSi%Vrg0p!xlS#S*T-z{f{rPgOhsK)u?yyW1OPKvcI
zVcT`n38D{Sqhq1}F)551r2yT*ZuZlPorA+^f%{7xWr_KKasULqm-Zt->{@xWV(Xy3
z+MVa6ANIXe;~u4bHG*vMW|0=Xd%^oh@M)Asa!Sg>pdg&4kIu^aA!of8w5@?k
z?4e+EA%<-_Q+IdmR|lTCfyHQ^pF>_u-8PbR-dJP`pYj?e3=hlxXH64i01EZ?+)q{1
z?3cs<7lgQfHR&k1DQ?if;$uqoVT!k@r+=F57zd_Pgilqzvvb`kh;UW|E|2x&L>$PV
ztEA*9bwP}9!1ay~xFjT8JKetE4LtKlUeZ$$X-`aFx3(A`>_$=SxgdLgv|1Ce*!s+Q
z5mZw%r!D+%i_cs#Pim@kGxTYMrdN2~C4$os&n}{5Vq$M{|CN+bSn7{py_`9rfyZB&
zH+r%vtNV_zA{sf^tpTa21sS+fVf9a0xPvOre(jIw5|r@0>0TLkMDM(6VO-Z6O83!g
zsHCR3agw02r$CpGTivjNHKw||e^VPbg7r@L
zutOcE^dc`4o7j*n-{od~ko@@pkJZoQp{ex~HPT2_?COVNs4L6A2`UdNU!QtngkaM53v!jg$G>=uC9$h3ivx
zB-hWYJ3Ps7xm^=$GDIRsNmDqh
z(b%o->#Nf~>fVYjKa;-%xE%A4cACS_Dd1(^i(HKWM$LYcQo1t=(|DLBN0;HZ@4(q@
z8Zx7|;>jptI*R*R*_4}47W2*8pVwXTQDuych=Kf&G)_`cZX%N&FWoD0Na?l&VW4?R
zK8vYY-_q;p__`tPNA4NO#@~9FpJQy)vEgn1m(ooj_faNi>}WMmX(h)hI%_=M(c#MA
z$a=KuqX)o=QaP&9RA>;
zzpvLMi4TVWzjWE<{d=}NkJ7)<(%(@n4OT{!5jX)yB}k?YEBhd+1t`&CO>jbGYF7*)$snqH>j}WD{23)!mhQLm9
zxH|LRjot`)9Ky;QEW^voD;`#2AQP!R5Pz|(vl&_6s>U&^?-u2bT;F_8cyS|F)J)B|
zZSalZPBdv-%(YOG)N2|$l}2&6-6m%0@qM94T+}=*AFv-tsSkMEY)zq8hpN4fP5PkL
zI)8+nIxsulunDxmWU7v6h8@EC5|8=9QaO_AC{LX5hls78W78i|p!SE62VyYar;mE7
zJs-g$y`PXx$eE8LAb;8u{lFS5ORRzx;$Fhi!XsAUC72>CbiatGEaV|C1EqHI=iRMM
zU)@tF1ds`~r#Z}dWKEAV0pAP46DR7cGu@kXwUu8qitmcbz7`3;H&B!4@He#R9A<=T
z?_$^SY1C5uu|&CJ9RVRHo_7wPHH
z;-*P!V7T)W;`-noAN8Y-vL`*<>ZMcn^B*b5BMZZY(~;c=AZzJ>{q`}Gs=db43!B+Z
zE><r|j_$9*&14kne0CAYJr)5$o-I#(-@;
zeyU1c?I{U(${sG=1g|ia-_eTBHJiOqjC5*jXGxe>_jwl1i
zt*?`8&!0VX`IPtIO)4qxyCVRt-IPoDY?&`mNv=)~(OdET-4pPQ82srH4li*y_<9$k
zX`9HXV<+A7GWdP9_$DN=rF%~js2rx*nkVy4gCBVW99~_=$S2*f`un$jao@JU<&z{Z
z$WAbBhH53@LF1r_lp7?x0>SW59;R9
zLZC(2?=lT8aGfxhH*obYg9*dDrH*`p+PPF=?-8{YMd`v0W*$k%+|RCc_NSN}=QFE*
zSbaxT+?J1%6}=)1PY*2?RIMXSqmZq%Ec
zR|#@Jw-is@*C_}rb3V}R;Vg|kk~v;oNUYi{xELLBhSzBieqABCMpU4jnT%73ntRhgZW@c0jUqgL*kKdkHEYrBK6V8=f8yp%9tRPkHrR
zz(A3K7m>U-`WLvkd~<~dK!IoUg8y=Og?8HrqZQJE_4eBaUzp@zTkQ%O#sw
z*v|*L`~5xNAxLC>kSO_N28W6i8q9~&ZP|}iuK?}O1=M{@D;}JDx@{XnX{V${wF@qe
z3Ngyd*`4{UEr%;ytMb30=09Gb@@n4Y?!L?+Rlf@Gp4F{dJngs<$rU%$D9-m7w6aT#8@;R%}>XZtliL2&V$_c4T8jmq-E|;Gjnqgh|
zM+(cJ;l5Y0xtESre({vLBi3*OWTvlxRAKHi>3_)_F{~+H-Q5xcTukzx7maF*aRTou
z4i~Ey4O=l2smPv_*PDDfS7f4Vyd~H>+$u8OG$3cvj^x-E8|^N-P2!elYBCD>>LM<(
z+cc~$Px8!eKFF~!>R9?sNzyOakN7CeCH5HQ5KT_#cA1--Bd_2SL<#;2$KS7#C^YM
z*=BA(!@=~JqTdiU?*G_>b|kRSMti`j;aT8O(|X_amF>{QOmcwIS4z`aP$+7|d4AJa
zw<(4m*smwj6Z_r_tbb~A3*}YrFCne+(4_$USQLuqiQb7VHc%^9=vV@Zd_d}FK6P{X
z^uqfNeXf00T29BpA!wlD@n8ekRQx&U!n5P6Z-Fvl@qS7zo*Qg&@$kTV0g3mPv5hoR
zcu#jY6Jhbr*whih!!7zmMor?TZ0}xNMv)i(Rg6t1+|dsIWsk@)-i;uOIYs}(_qOPv
z0%n`_FTOWHpdY%S%#pS5uI_jUc3?6IG_yzA+7PC;yGgxb6sDBdqZ0p@CZJ%1cO=+G
zIJk@5wMu%9{f(6qu)g9@cQO~SQVol6vd&7Zro_z_5{Mae=3P)yVBQvG1BAo=HE+>9pE-Z~*q~~vNO(L8%{t{$j-0)(&
zl8MnP5DfDva;JVAvXeF9{|unao-|=pC7?`F*U!NW(5Yf!8T!TKvCPfQ65Xr00cxOn
zT>79U?LJ?Ly8IG)fGjjhR6)Z1r`;S68QQJYciaTL7YYATV_7#)A692IDKC^q^yc(-
zq+HW@+31g|EoUb$h|uqVmRC&2jIpuF#_alu8?s-IEcqR4`$lQ}F4XKLxLELBbawn9
z=5gWg>6tZ2zLJ%D=G{x6WIFv$A1I-hjHz)}xW3UKyJL<{?>p@pkGXG={cF8lCg$dg
z>+rl0%83`Y;QCIYgg8VV^KC=wtgQDBayJy^Q%>AxK8iYvLY?xmk}Px~7&M~{KNIi;
z(z8pYNCQl%N((d3jLd8URY&FzuhFV&utdL|8+F-B5x~y)ymt#uw)X3&A%PStkYqWQ
zCQAC(YTh6pUX#=?4Fn;;L)O;Z9NuDp*}1>+_>;Pi3~*4HDTDyku+R!TgmhC{lOboi
zsmvglnRLXHx1#^mqs*KP|H=J4pfn>;Uz+V@x`wwar0wuxShYrH!B1VgFcX
zk$K+|%2ivhrj;{$m&}x1B%Z0lB!)LvHSJ}_LW8*L1`3QK7fkaV?VD*_7bW8Rf$4v^zrL`@=W15duC(y&{ec64j
zc%s%@le&NV=`q=NB9dTps*3zLAW982sEA0oc>kz}C|bnSKId)Pw__;y0ErJ%k+D%k
z9(w>!*)DY$75qN39}!?K?1ef7a3OIW>2+^U+sO34P;eWuZ>0^oo~x4?n<$w%y?m7R
zj$Hi)*N%}|<=AYcQQ75OI5LphSSS9|ho3yKKcNGQSGY0dVszo+Q~naK*O6DVCui@1
z(CpkEH-VCrz5|l{M_>K?TQY@enM7~CtlN@4zQT!Fx(wSdxfK~}2`!4PUb;o9;3{t{
zZ{~cVKg#%3luV4GjocGMmU4~8pfKBo0G8Al&82~jG0UmqGQRszJ(ByEbW#KDDdkua
z%!3kSy~saCKfR0~pl~Z5krPIAXBAcaHE>`b0xNojn)P77;i1=(Pq1*Xmvfg^e*n^P
z7!mLRSNMP)z2Rt)>YdoIgd20sNr;+4p?*NQxUhS0zPmqVzbknX
z#wVe(kSnM6I1cZYP-OTI7o+F13ky`@i21=4YJPKno7YnP<
zeUg*y9lqAo@4o%&@QL30xc?iCIh_O~v#{90vJ}D=@R5#{<;w!s-B44i@r+Y`_8*c(
z5bu}tN7xgs}
zmUu;F{OsoOYE8qTRQY44vJ=6NzAA7(EQ36uf2WV>NaCY@0JAHUb50W5n=iv!{!o{h10U`hIiG*Nw!MLTD=ybRtloeHaYgQZlK`&A)iZR
z{b#+sT~1&1-R-mn=s|6WkVaa!?+A^Z<7ICh~j8
z?na(csSooAr=C%RP}H7{PhP}Kx>tUDD4nT$1c`{p=B;8S)e-layzpiF6BrR`5ZTqt
ztand(*h-96pQ|5hfs>F9KfN#w0Esmw{38Fsl9tAC8fiz+4hn9=an9>kc85F;H^w&V(!ivl?kGtWq+xJ~j60GRm&Jaby^>*K
zX30A2@y{Mg~6Rym`3-iMOw|F%f+YTnd0rw
zoRp&IhiACK3SBt^M}R`A>YkMvP8_nLu_zM8b0+cEZyu>R)@b_ZD~A&+`%PGMsCdrXWh
zj!T`jBgp3p=$vM-rR3j5QV6XLj(UV5h&IiUx!|L8oTaz8`>~?GD5W5A5Cw5i!M*sg
zlIduZQC@y>DambQ7DjSVwxa@1I7atKAKurwz`=_;*_Qc{VUjKFW}}=$5EduzCAXj5
zH^twdRZ~>eE)2^#n@%kpeOTW*@%7jgRF;*!QD@9fcLgN_j!)8#{?1Kt$*Hd~fjGDw
zTP0liLmK(dc$@4OBd`x!7;bp|pR?4;)ePGd8F+>QDc=nzAmux@m2<2i``0U))L^sU
zG9Pzx>>P&(ANW7+CU6LmdjGBN9C0#X*=38-&mMZ
zFd`8C<%Jpz%FqJ9D=f9H`)6myf8~M|=qH?2cpM^K5f{@8n|KLi?Y^^m(=oF6!JhZ4w-t34#88fk@k@1~0}bg}_Add=nL!
z1y~9DGZ(n`*Ed+9ge<}Znoq56CocZ`RQ4ba!qo
z7i2ql(Nr|`=n5-;@#d#k{pCGUd1$%cV`PJ$==Y-{OQ(Vd_SpnCHR#u!~H(gTB_
zhgOn91JWCH4>S8+)KxbUiZaJl=|lUFr9kff49?>>?BAc-kem*C^;HZ)sRe-sdzOA`h%D
zdohu4-w#6?IH5juT;f}?hoPN^W+7tk#v>!)xzUfes_9?*yW0md4i@u{vt(_<8Tiu<
z`*TB5P|FfYJsTZ=`gs%l)r~Kqr`8q>MG!B>)rAISm-*p?Dgi+v-AK8`(0nKcz_E4}
zP7B6?ET^kLNc8H{(%DaAjRp-5P#>KXUHv!4dc94IZRx)@jcTB1RQ{`fG_|d(vwNWf
z1L6A?JjY~oRZWHa%}ryWu&a7lEZjIJ`@a4-P5sC>2MYZgU+5E9*%|@nKWYBYe$dC9
z1>G6tiOQy?riD7B;AbWN?-*Z-3~<<1YU+BUqI7gK7&Z%`d+X!#cva;U5qLPYbb;cH
ziVt1>Q|+}%nj42E(wiwtG)8&f|Bp^GZ?vujzDrN_{8{rsPt^y6#)PJ_pRqKZN`AO|
zu0G&S@I5+DPN{#p`~Zaj0JY(-xl}c=Uo^K-eu0$O1sq4U
zw^~tH3Kf<}{NdXW=0w<*6a;hq?1V^+c_ji`7Siz#W|g`Qh;C~lR{!usN~&PUL7(a|
z;M5v})n4d46DSW&D?gkNJc&QMCGR0EDB^b}ckP|`@qy`r%8~Z!22|6RekuYMk@Y>y
zi)DZBE-^EZMDh2C5+Os0P-LH74I??DmKG?Q4zy=he<^yyW-}q^naNR;80xJbtS-Zw
z>tsG0)Vy+gDF9EyhW)Rpfa_-yHqFU~uqa_h;jcgDh2Wh>Tf&x`q}{^3P3vUEb-*y|w+
z$G_bc(dQF8k4kL+VKjd_NlnrkZAw1_EdU^9AuC!vRd|md0e)%#Wy`jmiVw6E#T}+6
zfv^9Tswu_k)yg0KstA{oJ|mO$|6m(tqzKm$vtUnv3t>i!S|&8Z>8wwcUu#oxUEi2V
zKlF-bi-6idr)LzE5|rJzaro$X*a!Bi&QkTlSNp+NB|8^F3)@^QdJopja_Q%W{m$@+
zX2!Sazt*Z7lmJ@4kFW1gixXkXD4RKnaT=bQj*Grh_~6$VPiJ=yZW%dX84@0~qOvJt
zB_L$im)oG7MVrIpb)&JD0{&I~j%O3+B*F*_M+}cxs#oD#;X30TJI8dO>Q^bQq(E;G
zz@KzXuCPXR@xv*5sbdPcby9*Yo&!yrSfQstK=LC5&rQ^!h8CJW72>+u2Sh~`kbOW|
z-D9KRVib*4Umu>nC$1Abf5NTN4IR;nvm+&a_yNSV;$mDjrw@ltlDsrA=l}xSs$I{v
zA%mXldkWOSO`-qqm>GY%PE8`+JdU%dz&#T}L5rAxByVRxw6Rl`yEE2s_Og;3CK@Xn
zNW4YB+qTUd)2WQf6}ZRhG(R>~SLoJ2ljm_x8wR$_zX9Eb_ps@h86Fs4xPr`c;7?sR
zQrSD@M}{;j{JrrtY7&>Pb8KtBWAVg0d&0Zmh{h9ZyzHrB`POV2aP0A~7{F~qWgJxy
zEs$dVxzb57pwHTib)!^#@!85bjY~NY@_+9R2bBMJXNQ~-H0smBl_uG0V@RQ;tH}Fl
zPp5$q3n_G(!%O-Gh{hE%rS+EWC#w%&1&2@Uen#I;$E>=OLgYVnw{;=pZ9VBlF#u0r
zH54SkpN&~tvkTFpK%t_+WXv>!21FAJTNBU%L6SkxX4-BFPY`q<-ThG4M|#|#vV!#4
z%svb9W1v>ETP#Jp{I^D(UFcqw_Se0(y|wE_~EzCT)k6L@yEAsNpjuq@%e`>ugwQmm!$NT#x-u$z2<&jRaox5RA@7uU$@^m
zmXj;@VC|98)^MLHy?Eu=f~0L7iu@_q6GI(I%bo@O3_ve958b2MTp(T=%!PEy;70wL
zvnJtxiF0Q3e|2`|@lft>A0M=r94ShPjxF0ymIw*i8X;MWP|3c=*v2x{$&yf#?EAh=
zvYqUuI4b*=-6`3(PK061bA5--InV3){q^)$FRyXC@9+IxuIqEXKiAZbhqGr-zPLG;
zlif>k)7!50jVi;arWSz6UkGs0{~hr9u~==9yW3d1oe%pSpRhypyvyOwytuLZ
zd9t<&v~}MDxKyo4ZCrrOq)g0tEq@OQ+}e};SpMF9)|`v0V|*oRFal}Ck8$({wc7MhuL`=Q%_v9#`l)AQZs@p0y`6deJhtyqf}
zB#%T0k!BuVG?wMlP*7klHbYzZqG3@$l|F
zHzYMa=mvGCf*fvWdSeUWT!M`{{$R)-s#GA~FBqOc!8T5ZAX|}ACz)ya;k~rho|~Yj
zkfwk4k4Uc-6y7Gt>eSUIly(Ej+gUTM!mSiA{SX0dbkXy0zcZz->r1dB9?|O(5aa8h
zYA=)K`Gj4gU|f0K3>!^WMkN=vSEEVG)uqn)A~ZxeQX@!k4#>NoZs)*?
zfB46Tmrp=kf?H)yt^mL>Oy!x}uZZ;k|)48L=j)u{@ykXY$+SB2~Y5;yLYQ(+ej
z2FVl%F+{RokXD{UOdH*=8-OsKRbP3q5OdX%NV|&RtlB%D#(fxPT!JDR2itd_Ao=)xhf*ZEO{jXx!
z3FGg<(^cH`Ae2hclYfxyVNhUESO;x+j#i9xonzsms~EKs%#V9MM73PjXD8S)>zG_ldMowQExX3Vm3n@zb<&o)3qd-%mNwe(%TE4p%
zuaCruTq70?WI>`z8le1`^b!kzWxePHO`xE)q}Fir{v%H#`eu5Chkn|PJ3ZOVWV7s#)k$5Dy~-K
z=l2Vh^Bgp(b+EU-N;E~J_NKq5H%(~U-p
zdfNu_H0)SS7_gk+=i^rgMRplx^>#u%X>KR@3&zB_@``|){%OH;ml#Y%R1_5KcrZ(4
zpMrjoJ>wWz^L;~FwlrUhC0wl?Fr*8T+YDl
zQwqh)GK6a?tJnp}Z|GKy#clllb1Wg%T_S4QlIW9CUL&V*N`Kb|TqpY7-(fEhn%mHE
z^gci0=k5e{u>*?e;atP?LB-6A%Q6R2dC_adSX%oo<0&vHcQ)fJH=s|aK+C|7JuKR1p>$yME;+RxH!}DnB3;h6L?`KaSM+g&xMA7^tn@az
z3Kd-|D09sb=}9dudf=XcG4=nF_eFd8Svy_VwD?l}bBW1II(b`_FpOo;p=JiibeG61
z5`VOR?t+bt)U#xVc(8ZyI(wgowu3tc!GOXegIgsJOx>|mrSFQ!k5%@pn@>bkm$LA_
zXtrT*G>62mO5w(`nhMNQq4eve9`zTf>JtXjf~j;N#kfmGP4~4vjVDws6c)02K>!6>EbBv}s#;i0EzScSnOqLBIf72>i=bB&
zfTpOG$T_ME8QMEnbMH`dxSc>=_Z3s}jR@R_CBfzsQFb7cjwDGbLH1i9nBOHtxt2#D
zP)<;TsQru4u-NI3OWXi%`lL@{RHj9^2?T_rxb7(Cshl?|8Ij&=6f*bB1$`%6gtl|T
zzigQrmx4PLg2#D*Tv;w4$x`#vdZnK9m>1`H&u3a00>0q*@
zLp+y2Xa1jA0AzQ4`jlK1$HLFUUEE7Ft+<;ZQN3JZXw>%t5_u2ecG4?X2v)hrtC0sA
zN4-wBZ^%Qwz+f_%{29rCzs&^iWIAkT{z|6Kh)de}y(a>E&fz7Rm7!hP-Y1G3)2E>*YJ+jUTW?!1T66~Up5
zq}rmZ!B1{g+*Be^qnXv6|3}^4py!Td@B+7(FXi|aQZ4$eMN8w-iiO!=z<};
z)l6I23&7@sLg3@A1?^=o4Y%&>_Nev2!X0l8(!qwnaQSvz`pGSSknpm1PJ
zIN!3S%lY`+D_jdP-pPHoVqDlwmJ)hC^pd$Wcs1*CZcg)H#I#b^qRZvvlG$r-BtzX{
z?aS`zl(jVIT=Ow(XL8`L7w<0*YCLr%i@EvKEW9XOo8gCN^8}xwts9C6h>cwu7>i`3
z@24E|N3sTB`f4gxe9l+Eul^+jLlBC
z9JcanMRKuRjmUM$^Tmcxk;g4}3M{YQ+Z+3?5TR;*rvLChPq_ZEB+~~l-8Q2U?uDAG
z@bKW+f7)tX9VB+Lj#}QfJB8mo?)kpedc`P$(!WLsecF0O)pe{O#`S(j8>t
z5!N>z$&X7i%43;*2ki8^Fk4P#t!O+g{h}fy4Wt=*CfDV3h!CfS364EJj`sR4d7ZOc
z?BCT?&w|#=HsTZCDAsFX&V3i}Ep?SzP6gz|z@|Q`aH@xcjNh~(s&9f~}F?U2)-?>5+canUv;S6!2ek^A#P*6Z)k_*$C$*GODR?hCT=
zw`heT5?RmeESFUO*d0ujKU730agu7qDoed=aBKl6Wc;m5&G>E)$B^r{Gu+A#V%Qkr
zU1MlzIos8>;jNffS1YqnZavUHqR$6MX?bf)`|*(kHUC}7PhDI{Q{;h`Zdf1K2ot07
zD`JF|;LRVkvNksMVp44AGOKbbsmn#usv+pdkle_E!ctS#KFdgUU5IB?yBu@|KIg~`
z(m^2cXc|#Nvs0K-jg9-!J57nQYah`+Jgv%dp!+M+F1}CiM^w-i>zGcrlP-b(fNb{F
zgzRGe1SmBwET{Hu+{C;3$fVBJF&xIb3EbV}^&S@}5g#J|S)YK67c!)8LP!M}
z=FH1)bjusL)e!AFpo6g5(V-)aeYUOCbE*RGT%nDMx5yKL@%2B{Om|SS#Hy)*4)3WE
z3SS3wugG#3KA?
z^6@Nlo7*Z?g3Kz3G?P9k3BPL?RhSTwvLeY2w9yY_x4+P5QV14#0U+Jc)Bvd>R)Q<|
zBAVfgH2)6o|CKP)9_H@1wsB$YhoSr69yRlHF0cfaM|{Kch1NOt0s-EG9UznOgQck|
z8AGcEO#Jgl*miC+?UJli6JowlJBV<4`ZI0dmW9~B7gnygt5XE>f`PRrGUlklYve!n
z$l2PRC1rLg1@~}vFE``O?SmnWL4f>p*nHuXsJN7xDTHDmb%>V`O0ax1$;Qy~VZO>L
z+E+rxU?wE5bSy+0#7=cMO?;~69wR4UL?omYRkKP^dA5SFzkWRrroG3L!pveQX8z$M
z`tsyv#?RgJTk*W{>2`ebyQwbX$k4d&2{z{Zs@WZ1CwOdCH04k=F8Uy*f*E8%(APCS
zs<*v)#ffSlm&@5Zcn3b{Y28Rubk#sUcta!I4B|va92*K>?!zB@mT#1@I@knX4S+ZO
zsg7fV){n}~04h_kJ0i`Vgg2>p8S(2gsN*o^h&=j)8P$RQPjK2=d8j?Aku(c}`ZQ2E
zoB&;c)m5Yb;&+dXFImvaf@({U0w#SU-%CWT5S9fPR&?3nWjn+T$Qli(P
z5M|Lv^Q|&;LK@8{t1pb&voaW{y`1c~B`$w*`7Kb@YM`v(Bws4&vwJx2_j<_AETi9rM$LGPH~p5wBe}JR
zi5FuEwKVkk#cZZf=@7Paza^ZbS%o$e=x2VaBGU&DnM^&7;-d;xqOsc4z9L3}WKTW;b4ctPYxw!Q3GUmBke%JS9I0cwdZJX+#<_RVZg
zco}~N*IS=QIdSqM+s8NCrclq%ej-DS75w#;(hOTS|BDvsb{7_BBLPDx?6gt)u23b*
zwX{jqU;;X1LBIIZ;^Ir`ja(GAciW>xGlo-5h_?#V$h4-dNy}@uHV!>JN2&@xav~u;
zGG2sNwx>ICUPov^Gh!lcoy23{Vv)B*d;?Q`C#8k)fQ2)_VOu`FSH^jY;mQF3dt3
zPoRTk%X9vo!Km+Wdq&=9)C(!2)8c;XDF!)3B9gkfrv2KHwm^!hF
z%GMn>g2!>vuA_A{n-6zlsvnKynSM5*!z8|5=-&Da0FvlsLyazlqnJ8{;Qzy*h*E!u
e`Tu+Y&MJi`>E)Ql8$myG4Xm=JQsKp$_x=aoYKg=E

literal 0
HcmV?d00001

diff --git a/_images/cf611046e2cde6a827614208b43cd92976a804eeed5d6eb780580ce85ba96162.png b/_images/cf611046e2cde6a827614208b43cd92976a804eeed5d6eb780580ce85ba96162.png
new file mode 100644
index 0000000000000000000000000000000000000000..f001ed959907708f7445cc8c64466633cef9a694
GIT binary patch
literal 60896
zcmdqJbyQVfv^GpCDIL-&Z~y^8X;1{|=Fr`Ube9N%goJb|0)lYplI{`^5KusnmJ*OI
zsc&uY7x#Ymj&a{{|9HoE8N)*MK5NZA*PPFM<}-Jgijp)g76ld(5)!VgjHDV85?VhJ
z5^@X1HSnFXh>QU6hoGyJwyU~>rK^XDvjvi(iL2ui2iGSyrgZKW&Mr0%_Pn?GZ}V`_
zS-ZMAx(IP`+5Py64jswjtou(5dre3{!wZ7Nd;oM|u2srEj|(7yp)Zfd22C
z9?r&`q+8;;seNbV?m%B*H8<*iOm&jlF0
z9t}rW#XRb3coQ9h`hjoRH_GzSa?#=PnU_BkeGn4CUtc*roiu;{OEuqQI3o1V7b|L<
zrQ}~
z2`r5Nx$XaOlhS3^?}MH3ktH%aX7L9NCBG1gCR)=wdu5S7-VSXuON2E?yCg5clB?;6
z!F_W&a&%NvCN_xnY(-j~hD>6%A)qHvIT=2Oju}W-Z;3+LMw}~V>uUENnb$MW3qkRr#`=D^ly{7
z|N0*GFyw~fiCd33VWx_8FD)=I%z?%G;R;2>+tGz|LP=zIiQKO2EL-kCqQ-{JB-E=L
z>g0EMGpF&bZEjvi0_#*fKFrO{-7~8dIo)cB$>8Wcy5m+knlb8
zrF=}L9!fTkU5xaj-By8U;DEQ-ziOA5$62za+>UbB
zreW+x!=fP-XsIhmtDH)zp(F9SyY?evcCc}}H2ClPtCuUWwYR_atngb`YinzvPEQZm
z+v(GbcyZ|Z>Cx)nWpzU#Wyw*W+zTZzBD!4*?e|Rl*f&oWpItt3MNLGRVb87p;)WeL
zK7Rg%+T}O$7iqaR0-jrR?(5^K9Wh`dL#A;Sn1>tsxEb;f{8__l?AyxG=Ig@FRS3nB
z0#DqFmu?|h1pa-yH)g7XiS&eFZ!0Qz&kljz=k~{pqzw$HCnhJiQwDvn;fe0y7uWrS
z>AQV}d#+@L%x-&@S`EHoh)M-!2{-9Zy(Z#%_(;UN6x-lA0U9SVJh2o!R`B_e)V37i
zqLQgWSKcbc*5w`hvCv0PlB;10WqLcx!~E=|TkL@6w6FOTI|%=1o~$|4!Ea5EoRYHr
zgWcp-q=PRi<-I4#`+_wjg5d01lyL+QHPT0P@qO`1*Pi)l6|944dTH8SRk<=l)i}$S
z0jJAlkfRE6$j?eTU}W>)0*?ny
zOW&tf79s`yN7AeGi>c_Pby&HeFf;Vr036W!{OB4|Z9gB;{+g_%5FX_t_VI*%xDrX8
zXLMml0UTxB(uc3xJ-2#pq_1PQt~tLgn?MJlDbCMCUCm?WRF{M}Kr%TP_)
zQI19^WTdwwLgy$iRQ`Q#vz0yTSguOof7yC;B8X
z0=AQ*zD9}_I_#6#1YPdTNM7)-ok=D#f3J4A>w6phER$)z4zrIibnVvfhq6cdSdanB
zISkH?p=&hM5}gZK!anht1Y-tEfM|ws?fKRTJJ*^l_&?ac%wLVBq4OWjuMu#WPdVR!
zD9>}5p}ov>P(U~(kF?3#6)0=^Y7|our9pA^Q^h%?Yl7jTNWee{s&WpKh4A}jArGJ>
zphM65;D3b!{@*($|L0iZ-|-~gb@&rE&S|I7DLNG9HQ;cQuL$_jTJyQBb|QQ|69l-+
zFI9B*)py^LnoliG+r>{&o6h%37Jl@^9Zfc$>77o^oKZI&RF#nUSVNDg@_srUGw^P;
zCDsEZ%bm%YbJ9(pnG?q`0}o`R;+lCZ-^2Qu&Y^7Smm+t-LuSy;`+~Mw-F#+OXw*z2
z9Zl2OcsTv?KHW2A|KB5>G!XdUbYeEJaqr`-o;_a9=uY9aLPF|}qHZtoKeKH(Y}|Z(
zU>n=RB$4^~GP6l)c;8ZfW$4sNax{BgJap2b`8Clyuq+KiIU$>a<3WF#!|yJ5#kETm
zd5CaMy$`dz8OJ!kKytHbUYZM`1xQfl!p7ECuY-UHeDu(hez(B*xNK-&$#ULaONUK|
zqQ1+*Gp*-mCuL91yc^DcuN{4|5_=8+m+!h6ZQt=-JdrJ=U(FZidovF+@rkU!rIO4m
zyBQZEfvt4V=dy;QjPPyq`|t9PD7_K`*Z|5#H6OD`9`ohL=BvNAbc;}74FVQ2=Ei8AG0Mv%gceFAdVaKUR3U!C3q6pjc+6pG
z8ZV}0G@Cmql6O)RE=2DN_Fke3tju@p{ibE)=3YOs)TC5vvZ2dW(XTE&&bSa1+lh%r
zLb_-FJ#=?@Z~@q4AcfDRR^PE!|E1_<{LBKD{NQtFf7(BDiVITrr5z3?Y%ihUcC>%P
z_(KS+XQ9udv4MLhl*cNi`fb=6wUae%q5JN{WpvEW(&_5y0SM=d;(wgvuXE*TLnuyx
z@gR!I>Bt`P^M+GQM{=X1HnOcBamu+YGMlx_G^dM3=gjF!%NEUVF7rJJ;Z>=i
zk@yF>_aymaflt2t8X9i<@9Ks4y;V)qhGHE7N(PZ$
zV$2w=j_oasP?P_+%Lx?F-Clm|N!t|4A=2
zbv}$&E@2TKm#x9N4#h)~{{LxuVZAHp{Vyaf?d`m$vg}wEB4ZH&0S<)q-yk)JNs)6X
zi3#&A4GDlsAQzGRiT$+cR5=otX$>~<7YMBuNn&_djrPcFf+6~{{vr(oi?fEdt}0dV
z-zOb37U}%YP;SZ!|IqX`8YG#BPFD<`Dn6tCBI*3=gHt)=YaEszgB$}gO@|v%A~XJ&
z;$BGXRxL4`m1+0l?fghIAgT5r4JK6gN_88`>%RZFXkOU2iN*bRW@BRvE<4^pkO6Q5`KwZVP11VQQOHk
zrYgfliJ`-w%W#E5Vwr;O3)s+oG`|EWB*>SCPeUyTAA@<_JjH}Z=dud#Y`r{o325|a
z5>BYC0&y15y)}F<4WO#3lX#yslaYMPL^o@^ogTV9%2i!Y5@vykwjd;dd8-eyc;4Ps
zRsWwc1309)BHaqiee*&btye2axCK2CYuyUjXZSf(KdHL1uh)OROCDg4l@}faoD=db
z_d=UzCb}41Zb3xXu2y7W$@cW#Wg2y^(?I}hCU&cF_U-F4{B-f0IB+xltZW0asJ
zD>naouUQ$6>L$vE!WzsLMnAdoE$dS1Q!
zh$1??xD`Wb??pJD1nlk=W_`uHl8Zi7y53^L;O-0~bfw2vu7?B|bb(LM=z@;N!J=Rg{8)V4|OOCpB>eD~m7xPnW*#
z#)QYbP0<|aj>|=dC#o!)pqS^&uiX0m9P_AvN?UdL0c++%xAz}$*kz6xy=GXMTx%%YGf!hT-?L~DHjNp8X4HDIx
zoOObcM_J2|lXB3%;^x4S=JQO)I(TB&w{{DvO~BSfktJNJzlc*pK8kLkgF;OfDBx*{
z0sgRh=2Gvr(Sgtc7ccbHj=Q&y;}<1C!|
z(|5)b4|Ko#PwE!xE)Ilc~F17}(Ffqvah%D?km*`0=)&^o@VVbQVa@!1%2
zaF8jpLEjV3uV@&YpVUsDK&O83wFRc{dKsg@H!_Ke8Bq%>8hSL48VYUmyQ(**bax!e
z!D=KcNMtFxz?i9y^
zc9ij2_nY^MF}O`0#X~e?yhlQ1f*Z2|w(4yOj37dx+Yy~S#7Ytwmi(L`aJ?{L6#`O?|*T#=PM#Cl`xpujj|L9YS+KKn|
z`G;ub+LqNIP+~E}4?Hh8@m?Pxd9=;S&6g%jy-PG9>Z=I;C#iogVSdHZ!NY60IwXqE6b3Jn}I&du0j_K;ltysVarQyjg9p
zBrW9{+Z@@Qv*r<3i_hChNxaWp%t$v=ae`ku3^u_cp2r}7$Oxq0lI0u?
zXt5SZpM`0&E*dA_*7ZPeM8*70{sf89U8qtskt@HGfQO=84%?&O~eqlXa
zcmy((u7ImM+V!aYxs_ucq?WIWUylaIxI&o9D4szHM-9zPsLPb1*m{f9jp{O6C1k!c
zVIUtNkfrFPk!#(*PUKmajW^gZ6g`x8Z?S9y)udrUG>TGll+*@_U6S#55*Q8ByisQ%
z_1j;z4ZpieQJ-%#KVkowe3?ICjF?lBz)rezJ$FV31-{%3d>?%{zc>>~uZ266fNQuu
zH5zrd&-bO67?c%zqh*F${2QJUoPeFC`DN}kU;HdGNv91nweZ_U^k3Z()v3S3Q~#kp
z?@Q76z@K=`TX9ihA|pf5F%gJ6NGc?l4$Y5my4%^e3K!c;Mt182sa}>05{=&|+nU;!
zx3kA?Go&(h73~T+xrbin{?tbbyxcS+F`wD_bu4vJxL#AY1}yjqINS4C!M}x1z}6?e
z1PT}1J!&!AOzsf_pjT3IkvTI>z_9`E;W(B{+F<2Jlw<^1Bq9Hu$-EWIwbIR;T>)Qv
zzGatU+k)0MVqY1?jzc#!$Z-nj(66aq!JzbQm?H~
ze+gWhu%)X&KwvzN!!5d_^g@Qe$-k1tDq6Qhz4hb+NB5hejqy?ul^}uvLs^#ouC6Y}
z-G2TB>P^q<(6adM-ODN{z`lF;ZYK=|fohN77r}_@8SD3%Yyg2Bq#l!*Li&e=hp-96
z!~>Lu3Br_iLJ|irXF&F{w9~9M?Nc9jCM&p(d`o2gy$`dZl&PxA7H|+sh7@YDp2;Pc
z=z5-ip=;V5_B#DpG?zZ8GdAB1tmQf5R+Q&n@KU7hnC%a3P+3(qSJq7$jFtMv_jvm&U4eYtzXIS?Ap7Rky7bUxF{SAtSXF@s$W#r?dRmw9cZuzxJ
zjxLm=t!qy`n@ZDjL@nrLMFlHUt(^@=VW^khAd>dknqr));U*pQ)`v4SSUto(u($30
zz`oX7jNl-X#ZWCDsvlYHh~%FR1#Oa?iw)(AJ>~74KCT6b#Th8+f!mCZj=s2JC$@Nq
zRG%hz&s^&xJQ_EX27Mqt=1}ByNmaO3=XbkL}WE%Yl2`+@KLOjO&Nb4!usrV!DX
zVn^(?rv2;u<-<=1;E&5c5u%j5p=}2t=tyx)X290A(0#60krNn}m%_I=Fd`dDHVBd5
zCMx!0hCZCXY8Gzj*EpJJ7GQzgqsl|JJd+i?y4y(SxO$J93
zjy^}SW04+`$jfS_R#jHcPS}>b-f>tPEo#T}KWevW?pkziT|^W*5Duxq*O4sl$yw<9
zxWbWOKM|JA=?M*#(W_8#x?gmvQcKPuPZ$50AYzRqfrIj;0Rpy0J!k;`;FmB}u%65Q
z^KHCJV4B>Bz7~n26tb!X+kTJgGj=TNRf=evqgHk@=%^3ekgA~3GRNGk%O&usF6o#Y
z<%|EmY2O6+y7i?rhpyF;_wP?90TWj0yx7YS85&9|&xXcYp$dBtaaCGFR5k!mUpzHx
zh;Pb{w0SCo4Cc%NAj*DVsR;w?BOfD>(@?rJtVi@h%eL5Qor}Qox~W+ewuilSmk<93
zW1YJ!#nuNLeQnT_4x#bJKq|H9BTW}@LWvgpZ9VYr8!Dd2vy;tc@v}pXoSOs*8P3U6
zoCy{&e|4rD`@SVu%8mrWD?
zdovgGT0dQ?Ljd!K!XDNtL^(?#bCQ6nm$uQJ0CE!ze}Oe8SrqqTgBOjHn)B3JT+hu?
z0|VqVzyVFOuftRpJ7%KsoJBs}H@dhBF{r-#1xB6IjXp0$`50ht)i6~ov%dr;gXUDJ
zAKb5p%Po&Mml@<$d?j*{7!D$d+3{ey8&sR^CDRmv_LfHK&j-T}?X6p1Q>G35C^`Km
z1>-1&(dl~k+BnCvW91DuI`M@1g$yo;8*WM|@K(?`Yzc19QBFDzj=EQV^$O>1n+G)Q
zO{DdSD(rgq4cGy9s5L=?+_O8BIpiH5%Qg1QO>=k^uos-D=Yj$VrY1
zyHA{d1u?Z2!zQcp(I>UOg3Pn?q5vy2@r`pT)nYgbLXxMyCBV#Y+~Y_j$^c`@ci;f-
zcC>PkP;)k6DL^g%9>I|mtDH(OG^{R%-1~$(R7Yqp%-otu=e*|*J(|$%Yug|uHV7!f
zbsERQg!v~LdsB7bkI-A-=#uivf{Kvc;jz4^ChOwgBWatwk>`S9_C4RqbzXPS4)FQ#
z!Avo`1cQ-75h^!&*s8#zC-2a>H&qF$IDExaiwq9zPB#$`XCw&Homz9OIbpU$YJD*s
z%hf!cM$|EXtq2T%4(%rKYBw+s%&89LnU!t``|NCXIg2g-KA`Y*J&|khFvI@-_+ayg
zS~sXlIKyk7uo;G5ZYWn@DyRfbX1mf>5dbK(WWVtR&-RxZH6gx!)R7
zgTy2rP{qXYlRsENpcfS4r|R^Gc3n7;_JK-Hn!{SE8lOJr^>3q5Zk##W^_mDK)nDpM
zNd#EI_!wyTIM?P5cS8d5$d~GKj^azwFjVC1*mr!B$+jFWHirtl%Rj91*WU=<
zT(}E!tFxI~cDP|YGiQH!?p;7*ZF^{geLLe`b=#UL?$;-m6~f)A#Cfv{oN$=v{S*g@
z7%axj$)56L%_iufPOoFnL1AOZ^%tUCH#%H+lpo|ePHjW=Cb$K7P*7F5@Pk#=$$z~bUpm$g^dgQfxTXsB0Gu>rQ_#M0K{em{=N!{tep!EFE|#WV6?!opPj$LVX6wxzb}*!G4aNL8N@
zz0LskLuCgUi!_%5n?56_*a)HL+#cNl^{*~2WjqEg&1J+RTCqAm=ILe&!G#=jV^JCc
z5(Pm!wx)4_BS9-Mlqr%8Q>wb~?KiG$@p!001V>mDwE!jD*1en~Gs&u40V6>D%tXYk
z5U*K8G}Jr_QGP!m{IJlW4SJ=?M4j&C_M{MEX^bvQfk
zDYEADo?)SpGOf(xMDBY{c_Q4x3#x_xtRh*3qd3_Tl+TPhxjp69!!3i#H|ATm4P9{;
zi(&P}oX^0gI03LIK)q-L2ZUQraM`C%xdm;)-^jY2E4zc#(w}O932;a&r>I0#$=B`z~%2GOCz2h7TXu8mxF7Y=%P*lW4GWPYQ
z5_Vs2@n}9V0AO*^Cqhyqx7Q9Vpd)C0KAZ_RqPsF(aa-O%fp_b)=K+<#bV&6zMo?rp
zc_G#FSI=%}ahkzza$+oqFr;#J-5D_>q3KV;N8!4#$2q~v=vEf`otg5j%+|Ig62y~*
zcK)i&p3U2BtVxN2Ed65V+tCll+|ot72(^s-?jp_Zt&SW4q!@LvV|0%F#_!-;172)s
zZ`{9AYfrjf_)N9Ser!64iG-6=5Rp)qna~~;vUI*MFMb!uZ=UBr=;j4s3y7&3-=EqM
zx!XN%?e%sbcqEem4kdtrW+|&>SkX%`^0Dn71!Se0jvfQDYO*NPPHv14+$z%Im(U5!
z$OyL>kgYH}`>7@1x}qZV3guZrNfU+9$;220_m|xqB{j|grP=b(!$E=n0j|;$wx;47
zZ(05a77}HSfRJUuMeF0%AstgVosTzwyL;26?+Q}to{d-4k_eYPekR}l<{JxOL%k&V
z^dc;ByI~@!xb$dIMi{0ubGt{|Wz*?J{E6`TtrPwabBubEHJR!$p9F12r>Acij8&XZ
zapQ0pHHmONXUOU;2V}yB62!9mX}P?h_ZKJ|
z*(tT*kAfj)b1AS)!M?C9I|caHQ{O@|2pLe4JrvAvfr=pDrXEI^MOW4X6ECyUFr*wTqdx*S{mF
zsj2&CWR}^8vFPzJfL^C<)9O|R;1k}#`ns|g6FAl=!e?8`#7<9tAY}<6dK+$|R~J?I
zBoyf`vA1E!r;X6Juer7?sLeWa$0R#|^Ax(X47xjYSjriBZF*BHdc$x}c|{5SZBX3%
zF6Zn5FeS3=Vqcd<>Qi0R;d77ACAJc+zjk=N!07BT@(a*2=kr+{ofXea1Cb9Oz>Ll`
zzuJOc5L3-SW^7n^teK#AOP26E0w;O|xkNqSxjZpeIPgu?^HMB_)t?mM#=s1xvkBN3
zT@{lw8ue5)C%+e=Dy7)I_;wqH&4(p@8%=uwR9Q)ln?d*>UY5%xzNU3_r?Oj^L0=WCHZ5$nEPQh&DVjK2E3uqXFYw-PFq@H|I@v6BD|7`}>(?Wdxvp7DUydM`Mx=w6Pp~2Rg$2
z@Y=ga;vlO7Jh`==hANm=ubGcE-B?WE0Z#bDt;9K0cmF%Upwa4cv0oT2#X)@hFKp(L
z-iMTKZh1i~)?Yg;wnubHS646i=_R&rYLfZCiYKd(OFaXP;QK%hg)|Fl<%fEDl*AT~
z9c^_;>+0)w#U%jq&z8uHHIdd{4r+Dk)|wk5u#FoivQr(c)h|G`&NZE!i&zI~&E4Tc
zL9g};JPkn-PmTH*@oE(=+{?XNz86palYu<4xspG6e_wr7W@`rOJBRN5jjF=*5+s*j
zHo2^F-uIl#V`2yZi;(yohsnnPpOZ6KX@$cr-{7s#^|sJ8Qgck}lEZnI>XJ@QEl$19
zWr~*-Mfh5&T*H**p$yJ-A@A+=FytUYkR|NlUBV?c9RP95H`Nw!$hv2J%5Pb4y+5~U
zCTj+1s`wHtFi#OKzRq^OvD-Lm*=JW-b0am0*I;#dv!j%-Y!xoa
z;8;K9b(0t{h8UF^3g1R2iB%GYCr9hk{b}*8#D?4yUyYMd>TFt398cQ>&R2}0=bL9f
zkounp-072d1#J_LOKn}Sr`;488;W!E;7hM8AR8L2
zD{ILp~@D}RUiu+EGY)pFT!|uo9g|ubzhusxiRnRE>C(YwBs2yhMt8CX4|r+?$>Z2LqX)S@GjBqawn4iSeSik
zbiR{>^vq|ok?dmm;*|CvlGW*Qk4d0$0{X`)YfhH%W1zYHr$<)azx!jR`&KiytN|V3
zrsKyusi#UfL6xx=epHb*;1Icv1e&R}fw;&llX!p7`pLwYpiMG)^lIqRxK6o-KGn;G
z)hMyky~w8#-TQ^z1~+b28#dz9^H-S~^bHrl;+Sl*_-}&UQh?p&Q^jIP9;@7liv~8e
z)28GWh`
zfH+sIyo#E(HXpa>E?kP7nPf8keHV}dmq|oC-zoeO2R?z1V&rWa%76{bKtDXd!szhd@bvn&qw$X_dyJXlNrykV}R
zz}|13Vy}CoxQy{eZ2F~EUAK$aa_==R2qM|7rOvu=6(R0OCC)kt4fmAiB(my1CSOj7
zc9vnlUwkM?jH=PLY1Z9Ir*tSyhpb{Dcqa7zyf}>%{PQ!Yj{EKIc2fNel#0FfbZnpP$I#bFhH(d;^a1Qg+u!fmobfe?W#{9
zpiJRAS!Cn)rbh!P6#@W$1^yFe#LlO8;V=+e
z^aj)^F!K}ee#)`zqB-hSYFl9dU&>hWF~tlR2w)Aw#6_+qvQ2GxwVa~Sw_HZrmIK>T
z;;45OTH?>v{ne-++ADSST>i3%Og@bz%Kc)!>W`j=DWSHvARN=wJ~eWXKjm&geelG#
z8z7(d#aVND#m;v+!Ma!CN2P;)&anIP-B*@)SnM)(lCEO@Ry)@!D$Am4GeiA%0j-ebj=>Uh1I-j;VJY$g0bA}004i0)02G@0oKRtO|XuG|@KKSOrpfwI?V(IhK%inJt
z#BA0Jw#Q1R4xf!#9+*9!93|y+0!^dl4GPdSYVmyv^5^j*FDjJqWx0Wf&ar082h?^^tXI5lMk6&t`!7qce6
zjO;_zp8U}sHjVGv9{4bZUe9~g_9b4CoJ5z?ym-2dmYv$x)Mj1SfpCNgm)+olQBLmx;r)O@JpNs3+su;f#Dc^*ko_07
zYE@6aMk~MNBA1Svd2Oh+;w)pmCCEcH1Xx|Xd(~e#emb`YsGx|iuCyypuXM{WdBDF-
z7VEy40+fMG=O?&DoQ?!Q7Bn4vM7UyBLac8FA#X`iUpY5lFOsZ00!@zFA?#Q+S;oac
zmxSt3+-{ZONu8~Vn`_ZsfRc32m*VBmnoZ%7czx#M;~3Th+SRVZXv2@SSuJZCTj!j8
zWgv}@Ru42t-peSlWroi|t$LC;OA`AlSyM9;Z(IDN#K~LYis;@a1AgwTSUTlN6a9ze
z$21o|@c7x+L}V!1>?>h?j)F`$K~?Fr_DjN}5{B9MD49V4#tPD`_CQgQIk46%w=VNa
zWkYj_mr!c?KCx|@pNr6-eoA7Cyp=S>TY*kozYhF^X%=EV$~KK)OTP)hp$>jflu`9)
z>SsJNcFXq?{*3P4&ed0QZbGw8Z0MW)t-Ku?z63Tg~FW)J?|{
zWJ-r21S2>=Om;&@B6}t{6=v0=5xbTfysUiVvY7p<*ACc%;?C&C$%$=Xi8&VovHh5T
z{NcH51vAifKUK-B3_f_kW=Wgin_f@8ka0R^NmrQJmEE@HN@oM4I<_NEYf?6~v7I7;
zYE6k8I0Sj()U0^&XCNSZ%6u4d=RE^G2U=iQ+x`|g7R!dA1@#$uI8z0U$4A0xcQ`7P
z_ZmMf?=LNAAKU*BHv*2SA)>E(
zKLt1^JJya-h^u;e%UGr#!5TkR$Jmsz;W7J(m!^*EdPVTICa=6HhH_M5YR-in0S8-aW
zQ7nmu7M
zEk9S)mn2u0c&yv7PYFcEYW(j1c@$=++)st{_kJgpPg!?{&_x#s^16OK4iG6|-5Cwm
z&$ht?rUEGx@WZ)^$;j>~R)eGWK%xACk%I6Ax;zFG4t6^MF3tNukm^a}8}4uhv@bu}
z3Z`ug@Ht;)KJClg)xoStd`9W-+Lv%N?LQUOJkdx42w~2TU8u(m)3sFcF&i{i{mA^9
zqduQkJldC?<0ad0SkE`X_=>@u+TZ+1wS}z7KmZ{rHegV={a%w8$Zj5S*cfxiN`l`F
z@$A;QYfVyvC(*|E_sN$Rx8$5C#@MpntBpbL>1gv>KS
zs(kZ9<=8w(Af_M$?nOuvkRFt`!TWs2E2?nyCTy48rWj+G-gsrxDtqiLu4~cDw?uu#
z9dE47F_taY-|=eXrC!7PP`zNM#mPP%m2|AB)T}NknGgZROFE;mn(>lFZH;z3!`f$O
z(sfSu0s!eV$a@~vJ%Xso>Oz~3C+7NMCDnftggl|kv8%=liA;Qy03;yYK0WU}dqmhD
zViAVE|3GKu%3hzg2fzAud)JnXu*6!-3Et`}A7Dfix}Jq`ix2I)QlZVxfMARTW`Nc}
z^jtnbMPKfwR~Sjf%>+a3^a0%dyu;ch(dpFz@k!f{-TRg_>y(rHsuvKhcE%a5DP3<_;I_PjbI*Q+-j`QQ9nd2VU0
z#ao5;{pc)hVk;(XVu;F->xc7gb`Wcn#6yzQWykK&LR}P{`HaddI5UFtPc12g&oBDs~LAzQMt%^dr58VoDZ+p;YKRehx%
zlX49UKP?V`<@w1Jqy*Mi7ke5V-ZGx)-iqhP=R{>{9^EqV^X5W3uyt$KJ~cw>PDYi9d`
zhU0~u?QWs~djd6A7z`aWCsv)L9vmx_l0KGtP}ZH4zaW7R(U1NO(=Ti6Ek&niUFO>X
z=?PR8)&;vi%vNk%YG3#^6)*0&cnSjDmJ1|qO-PVmZ2em#YVss3{`#QSm2T!E!CPXv
z;-5uJsj$kgnsfVaj0X%}nPZN-TZn>S-KwZXoQrsJM;^oXJcN4Wm#H8C2v-WwE-$WT
zj?TXp*;}b0p01UZY&i=^H3-#obD_D2S#|&PzI0iGNwoKj7jTPo$M?akgSl*yl}tK`
zEud8al;=PXIugk`RUT;B90A7hfOx&_0KSh?cJ#=>V^%a@0lvEkWqc
z*A#HYSf=X%hc@*&;*r0}30z@R5MOFghWKf<5VOfOB*JwAcArZDsi|Fs!)Q0$90XBR
z!=ykMTxTl^(qYS^6HzUi<^EV&J?B246^r)w-)CqOoCpA&Xy26=BsEsH!kV0Eei3)I
zMigr@*0G`CP=Pt6q)y15k^hv^%=ApM5|PqUKyVMFtm8EdD(_SiUjQkTw#IX@{)5lK
z=9mFz(%xXBDkL}kGSOUl>+^I_O80@}2yo0B1wUVwYw-M)lxtsy2bJPu+^X!Ok%yam
zrptX>_k`w_9w*PT($>bNY2EWIt1Y?)ngzt*7svA0R82V`RjU^Ua5>SVlfe3pq0US~
zPD$&FBlb@IAZi8``FlIk1Vcd}pJD+Ggdd%T5w-ChJ`E>h#xdWv)g+
zSv&%>)iCMtl_)Ssd2~o4);td+#X;fpa8TR592~e-#b`dBp*`t=5)Y8&|mt}xQ#qeo;2IpdA}blEln~nwnKFJ`%S_c7E-&yFH(S%4|eaC
zfLxLd=IPEC(1;X^CR4(r_emvo6g2qJje1hQ^pw9nE&+nLpQk8CBBh^S
z$|lFu47TfGm*V+_r1#ghU$;*|m1RcF`3G+RsqET;OgJ!I55vdf-TPaJ-b$*o-p8V_
zU*A7R9NIr=z0Vo|)m$-oVv75klUdBimS$kl#SSG>gW6P}psSdP#O*^>NCbY!NeC7@
z2rk%c{QkT<+BKUW@WuKl_<3ro%WiE8l^)p9YnDAs{DR7_`(1_Iuzp4K9oLK
zo7s4+{$90d_s`#KqD>&&%WFBT5`EPRR{GUX0=yCi^+sTQIoEbA2hh6JzKK>OI~4;4
zxehSMcpeM2aj4uy>#hNM3H0)W6Sf6!l_oG`F#BtZ}?OvDm)Rhct041x%@S<
zDLljR{VAmW&y!3c>f?UsM4gCV8q~7vKh9$}@_R1y1vn2!JJ;{s&I^~v2;e`FfH+pJ
zbei5;Y)eJZ?tNn2Wk9J{+VJ7=gqhBj%Gz{0DMl$o*pLu@1GG32tnyg|a`l_R)X+
ifc0Mod5D#~DVNzJ^dNgt$?r8qiHLxt96^*$dqIc)eGtjcj0
zw1-_HGBupK<+FMr#q=GZy6(=A6Gp9~VM!0i>96G0d}|($j{=HiP$bzyT%)z1yNQvZ
zdN62{&VdY=Ikfra&S*~h_jftZq4^fMATX~Gy@p}M)Tai>96%LlIbV-dl9JHIKqIP{
zfy@27DV|(`;84k#kJ?wP0bPcPpCT2_Zy92lFyRQ4X!!tX_^fdjP&np2xzb#B(sX43
z9s1uI?e{))wH9E?_9hSlK-0G%sFS7N$LVrAJ-KX{@(W#O)QRpR+#0Z@fa+TJV!KbZ
zE=OQgXuJvWRQ49XjSVFJ?bT)eB>9tQaXrTTm${DIWw|5z36wjwUli&cv|Id+y9$Qh
z1!QDUbpW?J>oSTMNaXVcEYQCjSqw-?5I%0T%A
z#Egr+1Czy%TL7~0JgicDV)g)fRYsNwA_(z*HGa4X0ElzOsiTQq2YQ=i>#f>ZXI8+D
zvYfPmiRq}=C-+nDjG60%bI3xNJX*x#8mLXa+LI`OR}oBL@`83BV8wJI56n^nK;aGa
z3Stcj*=V##_ip1EA1;wLoFOcjjo@7X--L!HzEBGn$1eI80ox>dmA{sE*s+ji`={{_
zXa%Eb8%JNt41W~M7z@LjDn&VbV%JTAJEB}e$ms?``l4*DmT3RG_~H$fWp0QEFg%}P
z-+JB(HsXW5W}`)GiIlik2zfupQ$vk2)QN99O&ivhgq$>T)LV
z>I?G3XAH91hI;5A-`Cg!J^ogacug78Zw~7hjg(6gu@)&D^q&DDM!l(-9T1*~Zq4}Nejv_lw1$kQXBQ3c(%
zo!?h2%MymG6lvt&_6EodKjV;pMfV^98I1H`vCO)8FHh~#&&0k6o0YV<$?cbAD`qa+
zHeqS>d-L^k0?3mGGpHmL`ifz@b;Ljz!3z;03Cy~IgOGLeG~mu()!7X61WQ;yhWwTL
zW}@FRgK2lbTU+^wgWk}f(jK5ccRg3vtp^tD3<+AM?bype-%dp7=^jfe-uV(fr%I+r
zT}p}XC-OvSp)WyGg8r;ImZ_BH{K)E1jZ49pDp$I3Ve&I6-qcp9FMZ3Ykv)K|lrR+-(FtmGqGIYad&VZCXQC
zOXd2xK`eM6dNl&1$|bC0Rvd^mEGcB9pi$tQ4pL1U|FEzxZA
zgZmS0L$4CNAyY7wX&r!7HPSEf!?vq5zSwR@o9U*bATg6GQ7noK(TNO}$sz8`$4eGI
zV#E@E>WmfI1KmS%8n0hCrl}AQYZL>{zf}l>=Z{)m$k$!u(q98&HXkTwL4pWfLcm;L
z;M}{Hlz;8>6^v5R|Gpgy6!ubV@Tp}z$neFite}XcK?4-n2s!GqGV~7wA4fT++&InI&Xoy+i$gfV^=`Jsv2!3hiM4tPM0rXDx@FUj1
zdk?_0=T9kYL&iVCe+yB|EA&31z;~2Rv?|)N`0Deli>W}C2`K!Z*cYTY()%R+P@dTSP#fnYyd4N*5(`5BH5JbSS+%UCFQ1$&Gv
zV&PJ7)+Y+IkhtEE
ze80ykF9=itknrbMe?aq2GGo%WhMTK
zB5&AI#GLE$z*rThMsb;^26{g-*$YNO{Tny^cLoYdt!#ZBbTeK~YkH=DQgBL>XhE+
zwd=0DuRGIusKS_roamF4UZF2gH0{rSvl(psY}=Q#+Ewo4^>)^bK!Prw8$W#TwoW49
zKgCkb(4S(->1hY3_7D1zgNT5#0FD5;+E!h@=Ly;EOCigqB%}W?sI*IX7mxTAa9Rvw
z&9PiJlLTU3f=UMhlFpGtW)Gb6oY
z=6fT-n%=3vH`+Ju4M}M{R9Gyp_&D|=9;vQ5wGpF`brS-hkZaRgiuN7Bx3NC%o7zG;
zzsxwMP3lb3N4Qc$-eD`c@Cwb*zz6qUg#Hc;1)R_7AyptH}MHny?V61o@EumxX}$o#k)w*
zUmD-`oBKy&4ifOIPh|lbpr(lib%NuMHr)t5
zKi2-}1-%_$&Pr+C)gSGJ#RH6bs}2%eL*Mz0g3_GEdt7F|MLsw)g5M*H1Gr6ZmYkRu
zBzcwDs7CbhtNgEFV%c^m281RVI_(F{#ilzyeZ{7mTtR_0+HE
z0KFB^pF7ME``PI*k>qG`^+EbiJS$P@*k{!SRXDVey3TOqqb8XobMBK^OX%fYVyAO>
z?VE>}GemKg%ydTl7pAN~#?`xNUfP7-Qp7M}`NTm_ClC6T*MBxV{!Mj#5NFOsnd+fg
z6+1OP7)HJw)oFrNf1GcEAybalN2p?s*=JiYtMS98TbMbYn@4_Z#REhLtZIZYYhf!f
z3gN4S1{>TORq-LN)^fCKjIzFq57WwAHp*kYB6r>1fGO;wb)pgwUeM6qvLc}w>pnwL
zS%z=V`iyZ3IJui}ya3$6Rs|6%M%Se{0)#Fw%cVb}Z}0_n8y+*4V*SHNF04G>`RNRp
z0yIn4@?4B>`Ka-+Y|vfm!OvRg4QF5iDz^}ZF99aw$-}Kd1K}mD@BATM-*ALklWQS&
z>RB-x&qIOCY#+XBQi-1dD#Mm3VO6m(mU>Or6ox7I?-5m@%`uCzr(!#eS;h-H_YJ!Q
zM-CZtzil^w_j7r)6dnp~&!tT`4k~T{)f9&(N5Z@G8IQc3_|BbAGE9MuK8N$rWY1O(
zmmheY8~u-J%vDqNALA^vlgZXU@`cQ0UeSRGZp`GwV8=F@3`Upgw_onasgL*EmLESs
zmz8K)ePyiMA|u&Of=k19Vj$REf2GCDaIUx+b!*#7nX27WL77$$iJRrue7?`IwZg;K
zW7B@TRkp*{lI^X$4=b8%I7bJ&B?iE2d1ibwi9nHx)RHN4Fed+u37h-{nCUdTn1j-C
zfJnDwB2aGZ>$MAf9ts)z|0y@fHaE24>yOS2lTebf_XsW67EhZVN+$7Vkf3X5FY15O
zgRx^h`(B?0nhZ?1!kNQPCR84$8Dw){%sR|^B+Bde>wZOjs%j7Y!d)RA{5N%3_y0et
z&N8gZZe81xQd*>yM!FHCOG4@H?(UXu1QF>@>F(~9?(S{@Q5yNieAm17-rpaOLw>-V
z&oknV>pJfSzjl4Tw(lE`EyZ~E@5bgoy;Z}8xUSUH4~9Pfsok*QVCp0Ipn^`pj`c=?
zasQVT1e92bpt|m#>g%Wlfhs1+L$}_cbV?cz2|fU&(yimR8VoeXtBKyW0E|L|o$@R6
z7xVn6Amt^Mwk0z6)l5~1GD3>Q`{+F9Z8wRSji}Qd^>`(T%r~>4)(rU~i2gygWESf7
zKU`s{<7X7Hk*X;~qA4lRu#iSm99oOo^?2u*dO(MV-Cf5o=y%nr-yjnbo=`J?o57Ni
zIOUmPb6CgYp@i4ZFr%B^4x+vRV%`9-(8WBVD}EaX30H{Am;q6_y
z0>=DLo|R2EaS;y)w!7nYJe4J$cVq}8$Fn%`7z5=Ql3vR`&qIf=JKWE;>Q)*gwgQn4
zWdmV2b;RIOlHYepa0cC;GjLL*EDkewMEE`o`1a<@qynZxN>uR){~}(%{H_qN{pcpb
z{hQ?t_rvyqjZzTl4dinH7g9)UR)*VIM*Ll+PR3Vll4Ued0iZ;H$g?2G7}`gN@0{=w
zF{Xr0#n4RF#0SZLVOxH8x#;R3S2`69LM_%N3nh?{{R4XuEDb44DztxHt3djz;Xw>kB~
zGS@q>*6(}I46gT7sYV=Wz$sX)O{r&bb+i3#dsa=a4}49&l6}E{$vWyA3X|F?x(O-5
zk^C;!1ESqxLtMe|yflgwND{-{=F-C{*^1QdszM-qH}*pnlBHgU7#JAVODF$vpKrLE
zJaIFkD1M)e{}mny9gw-yleFIv&!VD=p^C;*0U3`#LyGRR#Ab`pT2xzb0PHyt_tb)z
zmx~`GB!5{gy@X04=Hx8i78xFk?b|d9<3qj`)OfrVZ&5r{UU;n!gt#lNHgAeok4np#
z*R_jb&w8h%>QL`Z;x6yeU&?@Px1=1m+Ev0*I4lUtOX=(-e#PM+fJCPDLQ9Q6&th{#WAyn96iMR8Bh*F(uE%O
zP%cT#rdTefIq#rt8N%CD^Ra#Hb=^SzWmVvsNrv4g5
zh85fE()K<7=fs`Bmzeq26IA@Pw6wBA8jVeuXh+!BQ_uf%W#DcpPMJ8qkMINDFqT-J
zft}R=aN6q2)V_8uK?lGFkSb2k>K7UD7=M!82J%l5Akuic-Ns^(h6yESdC4o30I}M-
zNx+zpX$c?QR-Vw^Prj6~f<9nJVsFFy-yrS8fQ4y5o+TqImn*B4l4u(%CMVk%;~#6+
zCzK;O>tVC|ZN!kUS|Y7NvEt$K2AVnCsro8-KsADEVLHsiZB^FLFk_7nru
z`6-?MG=_r^%$hi~cFS-~pDP^c4We9q?eVJb5D?qc>F&olNw2N)ZMaGo-8E24FawH!
zy@lBOc%@{AkytmZic2oC!KpYSIM-6MurPegL{;oYl~;h8Fwd^mgJ~#h!-abcUH06-
zJzDgaC8*M9Zv+PcEGr8Qu2qtZOD^C4+J!2#lN6g0w_ND{(OlQKP?p=6RP-&5rrwysw%X3N4ou%^S)s1
z^Z%CODcy6xz0OR;3ts@L-|A7=xn`tjQk|z!FXyGTmya?XBWEHE2E(OPZ?^eZkSQUhA7?ZqKUDq!$wiUNG-(cE2-ibgEseR(th)IeLkj*D1UwJ
z9`E%}CbDfglApx7;ws)Tb$l0ME7SO@#K{Ou3lOOPPt9&um%I`5G@#j-pw4{Cn!Uei
z1@!U;K#Ik#mbE`j&d$yofMO~4)O68LP~~=}3nhYSAhBuk6{U8J=RqZB+MEU&u>TkP
zk!XBqO*Y_jxPZ=ueShrI6JVe*!H7}~Pg5OX+3;qc8%TTh>R&&6yDk?2HD>>)kRXHX
zwc`K=n5Ev)jCXMeAfFBs8i?vWK90JdJT<=r&WOJ6lp`m_LeGIu
z1Z>myQd!784Vnr_Y+0@AZl7tiEXBIq+Aq_&%V+>G@KBJSpC5sEcZ$8Knln+c{Dg65
z!3kt6*3CEwop~wMm@_6w!f@#L~F*6|z&-UvwS0#Vk-y-)ozDB%>F;m`ituCeHF1x*-YuQML6
zV|~0aw1KHd3BvFo`eXi^oQ5(`=(*Sz<#p
zLOf+G4fJFnPYDP2g&Op}I09AQ_RzK%Z<~(DSu-S8uDw$M~u6fWxsGu;i^$N*sU=9Cf&PW*YS>9JZ&HbQrVT
zcI>YQu+m+OfO>_%H@&piLGf=Ot;Lg};7ML&Hk1l=Dy8Yx#pnOKN2Veq^-Qs*7O#Y9
z5P}KscZ|M?#^8TBEW9W-KW{emj>KwvpOz%voM+loY=U&wV$1ESyV{s_q5E^`(q($+
z+R9pke7_1>Lj#&AKxDuU+=Pdn%A(!qFKWkV
zf2f(p4>MMq{x3{|v%&B(yz~1XI;S6Ri_?&S@kXUsF^K3WAYH*ibaSDN*iaZ+R;qpC_y?)Xl!nz6bum^NbS^NcZH>*_R+2zrz3a>JXg#
z8vTpe2d$nT{}X<{8O9X&bo{#Y-3<=_LjbChSXD!WoK36znafsegYMm3mprT-;VCG!
z{Qk#3m?SIK53IsfKuQ4^Bd0N6dyw<~dF~Rz#<;j@3I9t8%+#=;D?No33B_P6!+W{8@-gyrzQ_|(X!=@g6W5#g`YDmv^JzB`ejocLpRc2Z=2Y4sN$uvl(E6MG2b~ekA|3I;#XapU==GjP
z46~TM1#&ZhFS(KUC>TOMSUNyd9i%nKu0Owrt39vER&rDq?8vhdM#M~Hk9*_Er*p9T`0|Es=HH`4rHkpxHw3
z{O%8KGQ9s`Bj~y&c6+t=vk_U5?E~{{tMvUgr9S^E8Z#k{|5>+$ESiq(l
zs^bDPEImmxx|?1H-+E$9-U27%|9~8VOgolsm+X)}hdpZmU7(VL+w&xMJIC9y&}khk1`c3N6qB8}9bnqkss8a@1dg{Hd#yq5E?
zc+D7*$CdhLW2!oNTS^V(OgEMRQdKJWqdsb?1d;#S#bweQX~1U%D3yvdk{%!khoUV~
zqF3$PDL49|@B1EV@f2)9ll)v*T~+XE62#B{Dq}7!^HUDD+);5M1MG6~l$~krYlcxK
zht)L^!Op;q0sv>Qwm8ie)WeD(g>fwb?e*^fo>e#6{_5L1;QdLC^x<2b4DGUaRY?X<
z^^*)x^jHEqSGQVxyvTP3ljdG~%fzxi-Ex3euU$Z%4e4Q>40(e;eX*OF@ysuPYD}`s
zO*z{rLSA?vwnDcTlp`HXNn`#rQouC)iy4?JN$g@B{dpl;%MKNB3Kiv!d8HPaYU*zL
zqw=~B;go==hAKmiHXlWpQEH<>rw5T5^+z?lMm?5E?7xLwW6qQ3C&ktO=+3s=Zfw+m
zNgHSc-E6G8fLuOjOlzU|EvW1sD{r`PXC+9;C!F=N0Dn`{pcz4=UF!tGG^Wy${SQo1
zDc67gAMEL-tuettm{(2ULS_`Pjn@y&8y;@dE85sBLY`%!bofpqd+p={41tQQb{j^Y
zu7R*}IH>z-X8kLfiG?`Oz70s|G-q&Aq@D&|^_wk!EX022A2IQ>(<3aW8K$68zGL#x
z$DxDKd>XDv=w*cu8b+Y3WS9bzDDpmi9BDlFFF^`zmLw+Z&!WNdXmQN(R^W0%3j)4U
zV)nJssU$TXKOT9}9UiBwg)jz7$lm7ugEbsGLa6;{y@?yfxd
zxW)%nKmZ{tyyl6XkfCrv0Ubjj7XN%d0%8?^KOxX@0F6m-%^Ar2E{1mXLz_S7@6pg(
z{c5qF@5fzf%5Kuko321Z@DGj9l}
z8d)%;JF$T+h6PhXxZIU2jRlbO7TStleIq&SnkMo-K%uH0qm=4AD=Qu-A7yNGFwuD*
zqaMzXJ;be`u%}#YDmAP@$I3@M4t?}Qv6Sq`cfXC;43CCz%o%88$#;^BnE{ur!9ay
z$ApBEi^RZ?`8Ap{r|YaAWhxmaA%F9h0JN7#@cm7jDShoaieZ@B-$eii9dLvK#S(A=
zeD&ec1Y|nlg})vT-yKLf`qTSX1RH+)KFa
z-IOBOPH066oPggYupCx{Fko>Zh%g!n8*U|y^|P5iKBj&SJ`^Ddex6HH2jF3dd$0am
zBp)W0i>DJwFrkTo*NDmIUjwu^ughRrP;wUGgjWs?0>R|Ppw_&!r!MFOy!t|Bf#|N2
zRQ)EOmf>^QqS`d<_Y`y?v3NS8Pc}G!ss83A8Z748>yb4OPx;xX%^3md0Elq@mJFq#
zbFXHO>=v$wF4ihC7bN|@CQPN5cc@}Uda2-3i8k;c)39@P6YTI%Zv_t|(^MSu_11u|`9-T$^D{j!N2h;uMSDzDJFJiE<95d{u!y!=9{m;>|bFN!fw|cNn%uT&G
zv%{4mUPMg4Q}RAM5$DkdLakmGxDf7W7C2BBq)=oj-v)om>ndy>W}!u3tiGVr>mDPw
z-IgJrETtCfQ?)g7EGnfmgbJv9cI#B^=^W?&Ap`%%i5TL%CIyF{NzkViSh4Nvd(%w2
zU&qk$Ab>wlCX!M}g=H^ed6F&u79Qfgg#b()Kt>17V`B~3GoRc(M(H`APi-U6I$uK@
zHUHhRe{VBVv;t)8aXP_;*_0a@>KPV!iDtl<{GdYjf&8@@sTBNu493e{Ioi5SngZml
z!-R(><5wXT4a+Qy;B*bqQUS63GZ7@v^={jCV7P38j#VIO^+5pY!w5m|2N%?j)ts)y
zKvh>TTDH*AMwF^L!|+Q*_1S+HkVE*bKWk00rRjS4WezL;t6@Y&12yJX`F^(QpDkP!
z&23_tb*crG?(I1_kvr$9giZPH-
zhJr7V|G#w+0|L}}*^TH{p0(2J*kpqmof&T1j&EQq^(GY*IzE?
zSpj}5wma^#hn40o|42w**^MF)Eo~mv{_Y6r~?@bNwn&
zUb1I!7G9|S2VCQE%@qW1ZBf$Izw0`}lPbERjpaJccq?U&3sfdX-#wVKwSY=nBSQR2Wh2|a2MWAiou>JUt)tlM#k)6MOlSXehPMq0HIz>T@
zw(dm)5ndobUj`^ezlcr|yR?JnlWo#zRxsD#-`yt`=dE-7LT%Pri^C^f@6sZzjYj8><^?E(R|Vgf+0M
zwe)|8sv~ymT%RhVKXVw7|D3l&+k`sEuEntdk5>7WRZ6j$^n%Ph%2=hM4HvvL3L^DM
zhOwqS?)z{Snn4~ZO60l;Ais?6(LdUMk>lC@2se97B
zF6j0w#Q;cyen8ko`l~WFB9K}RJ-WD!TkH~SmmKzht#{MhaqHdS3NiC
zQaWaL`xt=#7&*MLI;7L@paPbf4k@vCsV>lD5*=QnwV?X{^!PJe#!12(EB4sF*EQ3C
z8T-j7xyw2+pXE^9>(*9X1}L%v!mZ(y$Ndl&I2viF_siTDY@lQj7<3o@LWridsBE*6G!l22xIp$wame@3Ck
z-;Rc6A5|3-?P3l=uxxZCZA@krfuuV=!VCU=-nqZSFM`Einw(?b5P{Yv9Q8-iYdpjS
z2{MW5l4?-aS*@;-XL318U2(?Yzbu1A?tj6#2;xtUo6MQg{S=_NnLzn?MM(gxP3D!CSWbz-g-@2!&&1@8ZUKty25r6sLxS09gTi&=O`Kf7>2DF{Q1<)1!(*9TfTh3`l
z8H4I7=SsS$&ytJ6SOj^$4IHY#d2TH1&Ymwradd*uXyQnZ-bp;aa{()
za%QIam81z+Nip~FRGP+4NCBoXcbx}Li#Vbncrt-@Wulyxv^?qc1{eD27bs
z>G6owWAVC@Qj!62?9elkzZFDkTXJikZ~%qj|2JN7J}S#sm+$`4W8;3msJq`4uK9vb
z*2M6QpH#7q>+}=gO(mJia)Vp*7zjV@&qhl?hx}A%0+R(5W*9TdBx|i?3yW6`(0wm<
ztnh$?`wsc3=)#0W>gl!@4IC)a
zAD^ptzWgg)OrF!fEovo$13YAt2X1c+)L9rt+>Iu|{;ivtic7aj1an#-vCNd_OlQwU
zMZZwSFF^0J|27uiq%Q!ZxYwf5$X?Hu;mWkqyrTm{hHZ}l^_cx42O(xItqn8Pa6Ckc
zlD*&1V=iB^D5(GFgWg!s2bp-wOoA&*Sk`Ddsk$xkXtsXf(dV6uVfxA+3-9?S2z5t#
z0g3D!NZ>%Za|rYe#_NjV2J_D
zQ7DJPL`HL(GVlC0%+$`2oFA`#>xZCfih{%sv;NkF;UA8ph5}afz#KypP
zzUESR$<0bUJBb&uxybpP6(eH%>HZHl;L8JoXXDx2tm}GcL|Ios%g;q+7!xWQZ>Hz1
zvdoyx2&>gm6VeCy!OSO`fIg&YUoDs>u(m`+B8&vbZ{&bT2DBf~UbMRr0c2L!;-*wh
z|JPYr?N!3g7kW*f0U;rZy?TAd1PPb~fHM#b*aDaoLnp1#xKS9ub4Nr0P7|&;)zl88&Pt*&$r~8>RQg2Qh-IVa;N0EoNaU0YwLgv8BG16?BlI&I@=|CUXIa(93^$o}^Oeyi+rV~Lbm
z%#e|1bxq}`@jqEX`*o!l7NB_se_p8UD$64v2o%79I^mI*EEnNh!0ra`D`Mc??`K#V
zHEF;+2sQWs_1?qP35$=%can4wg*4*NdxU`^3E=eT-gnHU?+0~ZP{+Fe_B$8LtjOpY
z*6aV2ny1IzimtfYm?*6VP0G)n+cDH)>->BK$l0nL`YHwF>)(C0JuoBu*{q+MwyG_u
zp9xFgW0i3MZh%O_6pk^b-|KH!-LRPX$;1Quwt8Re+T3vgIiiQlU0bAF(DA$0DI%Phk6@at4`LqR5BN9AUQJIL_)rQ(ZJ2(rkhW8PD-i
zdIG))nX0Tc)FLb1S-cNiMQ;F|q~t9~PJt=fgFY!OOZs1DAnU0EP_qM|SqI@Ak*)w|
zLJa`;z<{S|Z%Y$y*?_F}K`iP2s35EA7oTgyRMsyh`b18X$tj<3XX#QYaO|$MR)L|5
zI4bR!1bOyyndN8$AZ*Ds$S)Z^38h3N1G&e8Esl)~F_fb-Yx~^i?t|bM`e^%ivwEbj
z+Esbe*-$^dVuPDBCj+3{8h|9xi|IMYYo5IsEOq!169nu$kgWG?@XpiH*CI|uZ~y*I
zx0=9{-gsQULDM~ZHO_7OP3b-G>-1o|=Wu=o2Jk9?TU%@Q&6D?5m*Cn|C02jc*a*Gw
zT=b3Ig+$0~~?6(nS{sZ(wVh
zm^X#}{GkYt?B+tpvc<>tm5biOLTMafAhb_v%-04oIH+gs#7`pzC~8z>J#Tk+>4r=d
z2RU(VD}dE5k0~?kYw+4Mp2vFWCD&$@zq~L=2|)3uRTg3GncRDD>(@w`?}RggGiZ+C
zl1$*`x5JR&j+HiIu*ow1rf64u+_NH@KMgwt7Xg|sUi*bG-apJPB%$>AFrJF(pNA;C
z?WcgoyrtE1Gj-3op~ajrDkZIoJR2(7*E!VL*8>fp45>KwmaN{Wi7f#b5B&CBoY9Pj
z3I#h#vjuq)3r3-%Awd27{^T^;O680)D3Ny=LOaF#dej6-#4;is&Hz;`hJ~?3bNH|_
z5%YH>wZ0~@ah$ea=TaPd25hKkNmkX3c44SA|h_BJ#A1w#@;;ncr%%a
zX=X_R;{%XlXU~<$E*hBsVx^*Pd26N%(^4%BVF_NXtdnf3&3S2mt8eD$x97xdZ@`c-
zYsQeRh0ls*US1?z_OVZ0df+2q<=xlU%1XGmz555$cyl}WzW2|`FHhjPfSR#HtRPS4
z!Ub)kZjnco$~cQUshSs$IsEvM2SCVP==fuT!T+K#(z3y5GGQaKFaK%}|BJ;lg5Al)kJs*zhWJbuI#6(l=ofG*`h(pVoR`S
zlvxG^ABp-D(?g~IZVs{&wm7Ai@gHYIvtZgKA%Gfz$}R#Bz6DCD08uOe;n+jL4B@B{
zc=&E4VB+uwQ8T@Rw-(yp!+F;{H3|y`k4`>-?v+ZxfMA1)7Hs_gK+W{d!)rjMdRrKw
z{UaX}lzJ}}(CLxEZNAeg$9V^=j$gCKtVnv+(!}2j*XXO`N=pF}5v)ogrf{%j4{MX<
zSkVvg3>jdAAR;f(Wczes>4TD{K=*~ywDjm0rT^k4nwameBj+<=(5It>z0333b+)UU9sg}eoP6j7)u{Pk60Jg&x5{Iw?XNmwm!)v_2D+ZzsF%|q
zlnbNNmP`r8;sIy~viIHdnZ78pp?s7Q)d0iu_iq#11S$&VNxOd0&YV33QX-v*%8mx3
zfjEMBLS>>6T{t}J#q}ViSq!{6)-d@Thnh$XLi^oi!}(<_+~?f|x|L%^`}?}lf2>Cw
z?ge~Q|9{m+D_AKS;6^rsU^@#w>f<81YJgpm{jwO`!WwCO8K#z;}X
zIuu;N=lP6R70))zTp%FJOZmf?ixLuO4tUY*;vj&@vrG5C7qe-;OArYFp6iOhYzUmZ
zKD6h$1Eglb<~`9(-#50@S0XQ{CZ&043wVt2^W)bb`Z`|(tpdhCtIx{{5jvZKSr*Nh
z2nC`EYYPh9sxux_kCsktKHCm$6n9^Uz%V9gJ`YUcplYTR?cn0{PT-T(CuQ^9oVV30
zF+rkvV1St>rfF=U`0CDm0Fp8{4hUeB5PRRTwK-QVmC0&F15_m}F%D9XFpGhZ3ynSP
z+x~5yyMQaEI7S#e%i=Vpu}7$q;foy_AY71Q$QvNTgfjGC;D!i8Cyf24s%fec9gjSL
z+1&P9J|rExdgO%WM;<3el@}63(9n<&zI<44auOu(hwgnH;vQX3@Ju3UD0!XtJZt5l;&IL1r~=c5^_C
zGgMRHv{sOKoA#N)1vMn5(3Q7(>$A4h3nv@DtlYa44On4_itHz#4g=cOq*wIFq$k{p
zWboJ;AHJ*yP9{YPei~4@30&7oj%0?;i*TrYzRo}O6@}YX3IIvY7AK%!kWCl58@u&S
z2nj!;6^8LI!N9WbS9rW28y^?A-~p=eAdJJ_olU3LYp+rNDK?8qrHyh%L)SUeHpLJL
z)o9_C2^Afrg?+7(0e%HN0(8Z|U-C
zXPFHFkm#UkG6TNit|a9#6HVC3T<+rxBMo|FV^6X7OQKt#0Bs(Eu!?!kgQMM1jT-|G
z(9HeNSbve=QK>(AN>vSNxdmk6`s}WK$&P#{4Ofj)lSaT>`L`YpyCJ{hES3rEx5(7c
z^6CXiX0wSx@#~2sHo{q^2?CG1tKZ&klOYhY60;MZP|>XtesN^
z_W)u)8qnxwxZlFI`~HSyaIgqAl9n<~mx`tYWtyjYCmdK6*;Wr9RK5FMt->Nj1LO_2
zHv9A&rl&y9XY7x
zAol%nRvf8>sKX917{bkqzUpWrFvlpk6Ta!1B=$1gKPn}9cY4VS08jGNwnt5{LB77H
z!V)9SWp;mZ%Ekh#lEB=EtC$faVMP1{qBLdhozj0^Tg|62?SQQ0|Gu_vjvdC_WL+!B
zr(~PmQpT4Gx5Q7#M-Fo`__oCFZ
zAE1+ad&bjxQ@st;6T}-fqbNY;sEz*>IG;aERWh{%u{w$QlP?cc1@SMUkggu}U<%RL
zZY<4Nwt^u-nLZEi(ug8WiIk!#TRnB&K%qtry9<3@0xg-iMk?T`A~HrcOE#Q9Nj7WZyXSMRUT!S~Jo
z8T^IC)>B@Zy!jt_M}f9oQR?A+^j(CJrr~?Rz}@p2X;F^;PjN9GXXw<xkP|F>ns9g_;dt=--%?X87)lVG
z{t*B}!6q0%iR`nbtH@u_3Sxi(bzj!ep!Kqij-T3rIPX+$j>gx!n>G=_xEI3kRX8^=
z#*C9ey*sjRj^iE*)~Wg=Hd;%M3>|H-(Lpk>xQQPVVj;I69AK+?7&fOoHG+K=R7eT`
zoAA9s+jyAZLOmu_;=JeQsaoMcdyRa5W#<#hOw48A`?Pb?TVSEV!r=eZWW_JwdWoY%
zJUjpbMyHbndUncagb{(O6q|>ursax$pjV}|b1x}RQ1{vdL1Vg$E#&Yo
z)?r0vl7sZ_BvWEeEX6%HsIddZ@1cgsK<@<(0)}t^1$_Q+YEgI)m}5Q5gaCy2&7yh=
z5RGa$G>Iy>UVZI>jt&nPkWofonpRKf>U?pTZU$+?%~?ZPTkTZi3*5nQ3F(=
zpw}&T)aJ=v+yyWaVWJ+elSMx!WbQBITD@^jt{yQ_r$wb}Krt->z~FDz$J-F3)Td?R
z^4ESns?hztZ<+tzf7~lh5mq7agzNDkr_gnozaQwm0kqBQq6iB#?ZEjIwwn(7Mxn*5
zjN1Zswh~_UPsl|_hKJJ<4g!>!1Nz(W+a5f&HPW5|Y8gp!GN<=(L(!B4O{7RdH2K@N
zN^lE+1y&kk$^pYV$#pulC>bceno!WfFZF6XHL3y!LC8nbVT8jcwdgG-%{m7m;H2e+
zNU#;VgRt2gS=oS;&-N^di(3Jvg*xb{^4@!~CNQxcR*rw)5&k4d1?UFYd*jL)*v4&S
z*ePYADRKwcmn(ZP{X{UYFsFhHo}0l=Fu;iW*~S)=V?6yz2F@y=m$7Z@JNTZJ6Rmuqv^tX=8bM+U<8^U>MXE
zRL>4>nwGlYN~5;hX`qTOS14e-xAB^G5
z^xkp-l4-2TTqLp+x~3U!_!GM0MbQ^;PiE18NR>C?9+<}T>fir$R#_;xdqX+RYbB+H
z20U}qwWRdqR*qBbr=#`t(wZsUsd;fiKXDM6614V8a0aZm8X{4;!mWB(fphDRXB3bf
zmp?8qJdfN1!%&Oe0ZbE6EDjo3(5JDZu%pXQ-ZH{y#DHo$E50OocB(zk&hHaId}%14
zWMaJj%|mqfpLbULHwIEzt;3;r>I%4s<2(*jUFbv3J!w-`HqCJE%CA^gh12JgWs_k1
zXiI4&_zT=EYFZtU5?Q2xXA78Gzk5G9}?)>R^XS18Un}q5*VzVWq=;cDK4+
z^48Ez0v@|2rmaQ|>eE@p7+HSumCSTC940UiYSf{Gqejs3fG!!Gip03AuIcoTqFm()
z)=xudtd}dG`DbO%dr)TGQz)R}TMg
zO3`Gbd)S0HZ^Bd}LRxP*z>2B+Vq@v_O}Yk6@$%IPCfE}A-;P`Zy)}k3DASOg_++2Q
zgd_pu0s3jWjFhy70t@jh4ASAYNjZ&p`t{T^(L}*S_*{YqJxv8t(ja&lb$Me?N3{lq
zq-o=IY^1_JJOJ|4owD%R^5_*)8wa{Z2-ws|FXXhu+9v2u`ZS^94dO;8B7ytf
z!vP8;7XfPU6CIv4y58^rFY0R3@O8Q}wC7+XP0)*OlfA)frU-
zlXN^acJ~bzIv`C3%{URjcDQIn2k(la(Xf=7d9I$NgkGiqQ4uz)o?Ju__StRqoYG`Y{Z=6Yi=}q%!gn5j~-2EDZ6ROM)!O^
z?c>*<;Mv85BuTSqSs3xcAs?nV?)n`MzM4(&Ccp)yDHC!04f(4q(Q!R5W}{$j^+i_P
z8Nmf7oLrt{?&XvUS9z}xIVTx}5gsx4EJvS-vusxp(dz@-Ra{o{c@vZMm#y#h2NC1R
z4~za6qzBC?nw8!nkKst>3DeT^Jrkl1B{kV{k`H6{M0<`AO|36L0WH11Qg>?FYHEEo
ziYCY@Bp>^^5RPG4lQrG>ui251;?66I*F8K-hFxAJ$xpI*XSA$qD2#+j%@}M%NWLHa
zKREPrmCwhlFqJZLQB54pO-K-FRNS=;iI^U&Cg)M(Cu{CGjcMKrMX
zCeXdz6FXshR6W>6PAOPN-I{+TQK)xf;`KX>K|9{ZnLr))y9N2abt%g7wd!YjJ_A;j
zo<>-&yLre%LP9DdR|!({t>2e9fAl{cc}SZY*A+LOeMNVN<#Wa}9{Xd7=?=?u7E2?T
z2z7ZW=SLFyGexSm`GGd4lQ<2d_O`spR4Iqo`gsFM!}k+S!SSZfvNSqjVf$%YlG0n7Xd*_H>AZUA1gNIc-7K@-;A~p?
z%Vh;3HDQ%j!wM9ntRg1AZ`vIQq4%*SSURwODaJFRQLF2}RF!_c%M#d@oR?g9rZ$MY
z_ObjrHKsg4rCpO_`Hy+{&2Xd{)?8~vkEK=}B{>fs`~0iV2reD(+v&6EwnY-O<%AXF
zR|1M?hk}R@;%9wtu~{8HzIRIZcRM}m-S@FajHJ&l!o=77VVTT;~M{K
zTmsjPZ)7e+J>5K7mZIe}wsj%vVeV?<%peKqhN2KMI-=Nj@oS|XjjCq(l{nn%*@r-@rBRSabHdQAG)(W
zL!{r$S2;XOot?7om>YHFhcMjml;&?DiHhzA2&+7GO&i&33w9}(_ZgT=I^ZkyJHAA*
zWMN0pSPrD>kF|=YIicZ7tqs>YVbZ|sX}EUV-u+9lGDXLcrG7y&^GJk{V}bH&I6bN`
z)yuqNsB~gMZ^OEq!ILRCD2hqw*5xgJ;dO(d)s
zqV~+5Z-%1{m-Kv}`kb&H-*X)m478)|ecqmgp4}B>H3_Y7$$CZI8C(R?3rAl|*=5E=
zp6I&QOZFqq{K&k>eur+@%GIYXb$|SG@&GWhj4n97%E%1t8)9r2XO55OVFb+QsU2$e
zaP%wA^>&2=BswicH!C4g=yH;+_B`mcl!ot#WL*3W70no|#@$62_^;%bdc~&#%5S^m
zXC@{v(DjFx5bw6RBTQ@vxlD|jnjR-9UQUb&zxEUAKFn=6Zxem^%E9P0y1
zPqV@Lud4m}^ms6gA-pkTkDI@p7={94UK~*P(k~yPW~UqY;_n@mb9&ge&^3PUc>#uv
zo?yF+eZ6R6Ih}bC+xdW9bK%XZ^tE?sZmKF}hn?y$-MS>pvYXD=3_4W~bQAIDv{t*3+;a(f)5xhN^MYgE!KkmX6x<5m^U2UF`eV_&%5
z#_KjC(>`v(`^+wbXD@>zj{_ru#X^+4F3U6Pe*d-T8?MJ@ad9S#5)O=tLY5VBHw@0|
z8;#x?4rK(N`)~H0g0={}$dI@)R216RbDTjF{4rh0RSZ0-@Bt}2RyeL@XLRZ(LEZ-~FW!PWZf>ovVaTN?2-_mPfn`Oij|Tqis`!qYk$
z-bUcOt?tk1UM%Jp8&-0J1C##7Rj-cv_Yk2k?MoXHpRZ-@$?=#K`gQ`*Y2)Tr9hT}1
zWJm3hedg8cS_%I_a14X$+ylzuG5;|7|aoIFXHqU
z9RrVbS+E~GsPlfCGA>7sus3E(;yeA%NqPfb&%Fy`iDLiq=rZuOe*IedPHBtT7K~8&
zsU1qv%5oVQP(JPOFxkNu`Z+s3Jwza;o+a+>OEgOiVd+~R>eSOmaGpjSZX9>G-Bwd2
zn%;XW9Xb{AnBJAcDDU!|drWBqyUK9&lh;9C}w;A!XkXk55nZJB4(pQ5HzCn**hc72&q%lYTEE>!}^~VD@^N`Pn@mPHE
zl*a82>#keI=@-d*+++Ya5T-=*Jd#tTu&6%7F$>6+e2Q8i0R0S@f}|`
z(v%8?I3rX=p^J}vlBC4a0o}A(Y(BZIjJ5&Rn0l((P5I3MpZwF!Cq7sBHG(#m72)_8vxxJbou}{?tk)kHbLlAqGo^E#OrFYrs)*E!eh#eMhev&Z&
ztq@&prTj>lf}zUiu%PfTRW!>%7(0HEw+64sUBLBNtz9k+aeovmYjkm=F7K$svBVjx
zOIWtYwy%o+tV##^c?xj}1)L#ph=s@u^F5pG6as(r)n*IG>B2jyZCfF}=i}pKW}Y;n
zNLX9Xka8KHUz~K)kG@sSR$J^XuJ)$>c-|8TFwBndCQHiL;}ST2Y@^$M-V+JG#JZDX
z5CtD{F<0ev
z(gOWE1h?u@TyGe3QJW$nzx?%xKhu}v~NnRY@sMc1NTel=<2>sYR(2uP=
zoKS)mO1~RNgaFa!S^Eym1JpJ=?gv85S0}u|c;ggw9x{5}rIsU|z!fF>fz$
z5t4{!vl1pvg@P~~0Ee
z&qcpo-Ex%>L&Q%Bm{Z3nCb#z@4K8PMpb?hFUu>f?j3biDs3y#nd9E?c_;=+GMF#J?
z0Ft(eP`xyKCM^|Q6w4cCyt*wnH@ELiV-QH;Jg6^GGaIp+#FIQD^;@eV)cpR;xo=%k
zv&^q{P8Cf}6V{S8rb{$l-C{Obw3dfajR1Y%a=Ws-+dR7%83L}bjA&_}tVRH0vbcHo}jWxU~3M6oRhgIy_MEpKVRg%nE{eov8_
z`18Ap%)B0TvA|*k>bwSUo?Ao9W2SX%b2}U-0M9}gn(=IA{Oud!d^{p@$h4(`+33-?wbpg
zwwv7|g@*=C>n@el`Hc{%r3uV;_WK!nWEoCWtsm5IXu{VkT}YFAetsSOY{uBSzviui
zB5q|eYfnj)wHJ#@Ra_shnl2$)GF@G_*?7jiL+GneYfqiA(1Pm@*3C+DNzKuP$e8QJ
zcAz)(fWI-hR$tsV5BH0!=7KJ|yQCW*c2EQk+%%p9v-nabuc&sQHZW
zE?4?_1$ser4Zrvy^#~vB%kiZf6`=6kX?gz7kyky||8Oq}f-Y=9uk06cBqVfNDs$L#
z(RDh;r(tHh;#p?wU*vo$P<-$9zMOYiaptgElM>3moWPDSwRTq&R)UXr{ZeP8a4Za%a6%*6TCeEC32`9Uw9k0UB4(V=`5)cpp
zX&B(Y#_PK8=lMPF=hrWSGR*9?*FNKja~(HA5gK<*1neasFk>79UIDlCu{LLjcHoy&rCkxi{T8{jI4oR*XtkpAXHYRR&esT(6tUN=Qo%9zuU)Rd<2@1s@Sm;Fn`E|FA68s;J)|bwLEIrCXu-<{c(6uE}G7
zg1CxAoBuXVyV|(_nHdB{{%%%nh#!gcb0tY4@%mOOFk86pF{aYk<>#)eUq^D{GRuF1
zxx}vo1?X~E{o>#KVtp$t66Su_%VSr=1);KAl5YdF3kw0hpy1`|LpT%^t@Zbc_uSu)57qHNy{{3iZJ>$0Jq{~Hw
zLP5!}Nkf6m=5|vTcK2h;PeA}PKAvrmaV(2lph
z?q!brOsn$tub+C)DT4tf*lDTI%y=#h6vy)&3!jab&-?HEtEoEOw>@iFwvS))@E0T!^w6Tx;O=AWV{Pi9S8^lAmt3``MGXZig8jmbBw;9{
zKg!Hsd_HWBQ(h1s!0Lluh=o})R_Vr<6u`<5e1Jm=ZmRA|=&t-bd-6L>mnHA8$$kEX
zPB7|~?9E<}w&3=%BlVv*PfV?>VkpBY^qfBZ*)x;sUr1`)aAfK?3CMo(N-**Di(UEy
z4^@)DfHHANq7PLp&dtCJIek2397e*4Sa^W=^i9wsmq~QHDfVEaCS`oH{qj$5!^5qU
z&tb%t29d=VB@^l3bXu|DlYX6*1n~3@+}^MG!L||x5fRRF5hPoJl3T=U?gkX?1z4}&
z?~I%>v?veOTz-23{vzjVWaCRg(X3qeO-^1hxbG+^>{sB?TeNH~K_ZYeOP%j;W8AnQF
zNDhsmFDaG7wp4fl)yzeD&u*)t5wUB^Y~DRdV(_&Abxq9CLXEY?#^hP$v`wGh8}T_C
zunX`0=b2m%%V&7&A|lQl+OOXA;Tg3GJ&|hED^nvFRGr_)8-Y&k{bIVWh5>0H-j@IU9JWpNUR|4b@Lg)beCjilx*qY#iQRr1Jxu2X3jx<_Gp5-?UX3-z`z+N}QTgA}%F;clDH;#R
zEv+`d-wTO|-p;e+4NkV=T0`y)*=r&=zJ1?z)N$vc%r&R}pXHeb%k!A6;a?b2AnSmG
zax?UXh4umnV!93d7FVwb{thvZxH)<8Vyh^K)j*teSe_ZE^qiV0Gzx9z*v$p7_7`RN}|$H$!vYp%jLg~hR0=&&qvHL3pO25wNNAg8$TOJW2%
zip#K<>;`{H6B|rfJE2@X??OCd8pVvmL_mbdXh=WzuJb)p6*FL|$t}oZFDdzDhn4Hi
zfK3-LRWEjjiGZUdV>>D?4%uli)v*o4Ay$=6(k=Z@iRey+r=%7+#EihjbDx(-FI|I+
zj?k19!ZuR8!Ot6Z{KxRi)t8Z%Iee7tx0yvgh4WXKi4UTSVP>leO5!J?Z$=7}BPp%m
zO~?{y5ERPe=Q7WeuUp}OBRTY(Fc}(s_nmm~c+S0(%)QeW9q)_0F|RFMR?Vm3B?3v~
zl@^M|#@CJ#`j0!Bk9hr-M6kXp9{Rd41OR-#+Sj*TOpT==pPQsBxq%QxlXNNvG`Ye2
zN{zIs0(eby1zT6fSXqe}Hb~Hqu!{+p3!T%-pK+F#D@#Zj^QnQF^OEd#AbjZUU;TjaNG{iescFQuo1_5xsg!k?b^##vT!
zAGdFYct*Z-;L2(+fFk4Yanqlkc}!3e+)~^1a=WwfA@<+0b9~fev&o476;OH(Gg2f0
zg_6Ei1Z96n+Gxt6w>mww>an^55*$!ydS@uoSP`=xN<$U*STrhYgI94OIKu%c!=(tS
zj)jnty%wI~UeOE5NH1dO3u=iJlIks&vd*Mdp72Ouw}+sOSpcKS8Q$P$zipMK|AhW
z`=RSJ9cC}E<52i-yB9X9m-9@J0{_bxGef+qOxJlq=igMLsgXs_FbziM#*g0FexxRb
z5>h&Ys>2~)Xy0Vjtkz1XgGJ2XwC~k#{F>YDXDTU2h(stQ#a^&+tu4!z{z7xvU~ZD+
zojp2~X|R|DQ!KuY8vB4s3WJI=gnpQ@krmU9ZE1HeQKb1p;~&9o%FFP@x0erywz
zNJOU;N*_?a-7`5rEd6Muf5`(6%9M+dLsx;UzPV`J@_RNv$V#<$aIJ|H;AT99Wr`Xk
zvmafhgZ<1N6pC?@__YnG_#AB*khPJ@=o!z(F|4qtwN1IK=}k*!{#~O`#!~15sPg$^sD%Qfb_`ZMx
zB06Y5J{njP@uOC0d!hQlT>?Bz2hZ*L|D00g+Oks83(ZSM3vz5Kz3(OD=7o(P2t}S~
znAjH4!(_pL
zeUoI+lJ_L5;nT1nC`dKw2(Ya&_E@PGdRuOeLqgJW%K;7+jxuX{{33-#s<1n5@2VHI
z9%f`pZ)DGSI+LU+15(sac6H_qan2?B@XO49Cz
zQc6W=u9BhEnQ#Pj=0x{_Tc{aVcK!pRT+@rr$#S-mi9x~iysk;qamEUkAr4^o&ucby
zvp56?Ya|=YJAY~f9l51sf}acqJOCSc{l*AWC(Dy~oR#=(i3Y3EKxrXZ*P`t6CxCxu!LWeC
zVYyH1Sz%Ko0p$Bu2ZfTUtx2CCIGSdzD9to3anJb4C#m@lCx!lEL7)q8F?_PNHG<3#
z|82?KodTfPeg|$;jw^qZ?X16aIQbPO9nUmw#NWFrDj_P$nlkTw-C$PKd7iRrN`*(C
zmlOxUMc2@X*P&t8+eNx$2J=hdt?!!byRqWIhprIEHezi?}8;0_eDU$ce%YnO;d{D)OSF8y5!Txnw4H7XmG_j3h7C#7Nqv1X;OImn0
zhpu2Ebuqn?mqp_ZIVdkDSJ(iHZH|>~Bb@dxp
zzsJb8b{-!@MwIWd*W-SKvN{%q>?$Vrq{2f~<8KC#sInJoWZ^{~Y(>a>O0ziw&I8*dbNmc!;}p0-I^9N&8ZlU^-6*gyGnV2RIQ
z!PZ~7Lvz`0MWoO6bUX!1TNlI^R&CCUcy&{*G|+6y3kR|-i}CdZw9w-X&EpAnlVXYsgClJb40-y0eE=phM%
zWoIV~P|e%~qd!5Af=uyz?k=YN-9yz_+5hRDVLW=90M~}go;Z0+_Cq8BK#2gpET!SN
zOVzkJZ}drcl|%|Go3idRd!YaduT
z?tey<*!mNJIBHuf3o341e(o(pJXeJ1ca3ad|!B5Z~wHOv>*B6!v~#%
zBORd~H#V@Uhx1OyjZkvV%hF0Ym&(|*KiB?e2N~7v`MFJZ&b46Sz~`iC1A>W`(XBAX
zC+ln9Mv{JDBS;u_4%Yt;Zb%YUex_t+j=)a<|Y=n3vRuO232<>Kq9$6tIL}Q-_6bJj$dxYnn^Rq8e#W~V}@1Pxhutn|E5JcI<%
z@UaSP)NRDHVcGFXwm9}amL^?%gJDTzz`;=DXYl0K{H;g?)8OlyLJ~>&GxX3L{7y4Y
zpziJ1+6GRj)Pvo{Vt3ZAZf+ZeDQ_hih)REn5JjNu9~=BZQGo+g{1!G5CSN0@M+=To%9crLX}4uPs3x^TyB0MHmk*d|}8l
zT6AOQH=_ls-T#suyxVU*jDH-V5`CvE5%S&qZ2)k&j=N$IrWb=XTDZR4}2hwWnmUaR8$SaEzf_%?#
z_HO+3r5sur{Um^pRW+FGbTi+WUwZ%fo}%*P5t!H3q)xUKEhN1E#U{)Y175BZOUGSR#vmtphs5ULY6?-RDFaM*E&-eFQO8mjz+N=
zv$+X)T7Lhw3Q(_g-j@vh?W5=U5FXYj>!&3cYe3ls&{ZP#@8p7=#ZzSon8tx)r
zAp+8$viJViiOpFKv-{{kcx>i&_Xop17rcEbM1$ti=HCaKkEqlYtjaoZdt3%PwN;SP
z>5aW6T(&!VuTv*3J0>CXLxUj*H=BM9rsBko!o~vjo3I^>WmB}
z+Er00?i_EXp@hWiED#J7C1Vf?q65B;6R_b+2~PnU{vM9IDyP-LsZ{8X)#wLd{*a18
zeD`4;fLlaGALbQ~2S8Z>l`HP&9=I0vw8hR|0O&R92XJ5mw(}_-w6(E)kK*T3P5yB8(`hj)B=3rtHT3waMOMsi
ze2pQBCZfJVp9^uh^;=OYS>at{-Yrenx7Xc?qI*nwBr;vjh78Vl>*1c-0VXxJea9wZ@od+~
z!%$V5iD8sMwQVu9FO49eh#6aSAvDW9SN5A#hY(cLB+1Ri_ItgEBqMFz*)oDgl?tEO
zb3!$ap~42%nDfc>JyzTo=H5-*)o4U}kSyw1Kox^^r@{b081N<+A~xD=;D#
z$Ki7Px=t{<9MQ;^Q&dPryv9sz{3t!nlED>)#%D08_c6AJ>xP)|zSG|uvGc@TWn(0+
zJxHVXkpMKLh&ddEw<(KOY>doVUePy}>CO-_A~V=EEkt)i&_pT}Dd%}s=z-^?rkK!q
zL7%bBg?H5fV*Vp+bd@;BS^L=eE%dBCgg{_6qbv6ZN=R48<-_Quk@O48t^Z0X+lVYe
z%`W;~tfEjs>_G5)@z<_L+Pht?@uqAt3@-F~@(ihrHhRYn)ZN$EzmUG^(Y)PP8oh2U
zIcwYf+dg5g*6`UZ43`vSNRNTn^t*rr+Vwq*u=1=(Em(T&z8V;ej=!0)2HT0Axc$i_
z7U3cM7B)9CQzvby)2dKzh9%6h(L}=z2OV>xSn^g~Y6pDl8CBr!1n6R)e>ACND#5^}0!bu{(t*Q2V{Iw%w
zO|$fRqx-k1=t?4$e=tC5$RFwqk=urP(!{@4Htb|ANj7jmGeP^KK{0GY~nUFuJg$qT;
zHE;fBUwDC#e*ELIgFMB+8S}%R)d=sScJlAvzkA$Y@21?&YDEtvaZ4D6=7sxEp&_%(
z^ow}MkyHI3&&nQMD#72cHmq9A>|8x9rnXEESyV)U`Mah98OAC3=spf9AoD=e`AvtD
zq<_t8&x_`>g*kS$i^#_zG$Jx(yh1?ZH4#-C_`XUAWbD9xakXpwg!o=xoOOqC_VhyiC397>>ESAumqqM->|u-?8rUWv`9x?gx2o
zs>pR}7}QuG+XvSQDeG*-arDA6CfsHuQZD_w=kAxQZhXIhL0W%mDt^1vljbm!CuC7d
zS8h-?&B5pbj>T)~v_lU^5lj^?ps#S{y$vSy3Y)Qt{>8;R_gqajSNg3u1m^!c&fKmd
z0_`M0%J=F^)dP}|&lzdkY)a;-C+5}5H>mdthIHlm%t(l1M%~Va0PF<#go@-&Mx$27
z=tK6Uo>OuXI5mz
zuctlS1Y+v9mG$K{1Y*k~BU%5DZan8l0%anKYk$?cLON*Pn9WJeSY8={neW4SXP&H$
z8>tr(*@^c(&M#~y_U{^-D;Clvx;^9&=Tis9x{N+9}v!xW-9%J?NhLPasePPJ18mMf1d-OM%dwy
z&qJ*b(bGAv9&pV#5)B!cL6)?YJUc2rJ1+3!V5KfnR-?9+H!&#Ym=a5Oes%n}Uo1(MlE
zdP}SYp<2(ubx$MjOL;k!o3R&2DU2TcH+J8&B<|%sv+0^-WPFNT7UYIYR}xt=+^n_L
zhA8IrVeR(A1`x*y-tW7A*o1%a$9oN`d#kP}YB7EhDI&)%yHngx`AzWc96X>`mKTts
zuQ)35Er3`Zi)+Gb*6aFx^F0u!zO(mFuRHWGXR`(!9fPxSjk5)RBmu#*J2Dg)s?LlP
zH;}arp*-*GHC|eFOceg*5JVt1;j~V&;#dJ7+^!z7I$%4rax2>_SUUW=7VCev;NPDm
z;!P0qdTMPg?*88IUEQ`UB;g^&bHJG^mDkBeAm&F6`=&0{D}LT}C>3W{QL@lacJ$sy
z*n%V7;OkYlUeuPgA1ORo8t5g~2)3R%2F2#lZO%_q;ExN&xut@!(kY8uh?VGDiASp%>SL
zJ99z{HkmKinYw_;GutIDerRx12Vmhs`@KS@6838UvhDxeoRndTi3AToD80oi%LHGH;<==*z!J@x<
zMd|q4j`Ack^u`!LfBrQrA`tkO;ZcF+xGd&xH;
z6xo)(1ucHHV|Ua^y{i{<3ccVKjLZxlHxJdKRuR4a84YCKy#Xc^GopT+teOLWf6n75
zQe2GGDv4eKx?2F6!b=iydH@5Nw9=4#Gv!NNigxitfZ3WG6+54Ht$I)@xbya
z1<}#|u*P~tP1D)eLgP<6RwYesGBSogw>OyGr?A#JZKmZ6Hl@A>x%iRJ`!-zJA#&kn
zTyQ*B1LZDm^m9kDdt9PR23HwleQ(!+h?Iml-6np)6;u-cL1nq@#jt$6?38e_xOf*s
z1znT>?XI;U{yZ}$#P6&}LInpcDtJ7Bwg(0nr%&7?DwJ3ySnr!WINmQU#bVFDjuLz5
z2CAag?8j`3zp)V2W+!uO6>6Fv#9;TNiygT%2*CClICINNX}jP6KzB-k
zuCVWm`;Q28S|0)x;S-d`_uqwz7pmq39H3alx9UY}2^Fs0RlG&Z-tP#qJ=Re}a7ldu
zcA~z+RJhC5^%waIjv>oMKP%}llbPZQ+e-rlj
zrK>mm%h?`TnWuUCKh2h*org>347?CyLtm>Y(dUF5c#LCO7%X>X#gcq!B1)wvK0vjb
zP5Zbf4(|d0b|&%Gs@)bku8k^I&f
zLb?oJ8U)}Qb)o_lN|yKKhNBU{rq>havWMiW{|^R1S5mGq{ybxC`r>@8wJkL
zoR;N&M(v#T7(Rg&!30-^E=e;wE*A<9%&xwF-vzD3I$Y2%&!wXL2;<2*)2iLV(aaJN
z-y{VV;51FRta}o~zifORu!3S6Ke6sPUuPnx#`ldd=+|J28YD^O8ZG6LQ71&&2uNT1
zv_baOgsd?bO%oO1h{UF<6Q_>qJs=wSU0?+5Fc!j2o5lmWXk;`g!)>3{ID&~Y2i
zZ^_L)g6t1l*c{>Kbre|M|6nbKdks{dq{rtD;?bF*lPx0p6V?LE*zt*7!8<%yMer^Y$&iaI|y5XWdwA`ITz6IWJJ^tj?32
z8mhjHh3{bP(^LS+*E@4tYnjlcN4ec}IO<9d4+P_c
z`qxDLNPxOHw`+a85=aJYDy?CpnWG-Si~#zHr;p
zzipYy{)R||VKtm6GrDcni&#yHPDltTDnduhWV2gvNHjXUe^)pjZE>;%6&3z#DmGAi
zkvIsj&~x&}_2kC~)s-Sbhr>tjPBKvkk$YOg=1aPO&t!Fv5&h>E>f!b5`%?y9RG`L?
zFt@4w<|^Wm^|1-Dsj-)52Si!=Ehs@69cbjPzb5_W5R
zEc}igonUD33(zxz+Wo0(_V0ZH7;BdbB&mH9kQfv;Bu+lqJhLjIFaUlV-xKy0*%#&+
znSP+H6+y5$6n2E?2m1elVCed>I|$2m11-uM+PG$`aE#4+%-OafJJG*
z$zUV@zta6tsi(Tq6$5w(GK5iYhmJgnE`N)>Jx7Jxs3{fGIp}7bKJgnCC>58*z?cpm
zQ&q82jVV^LVq0NBJ9ALsR}M-CQg8}LM+Y}G@K{zuMR`r?o%>XoqW@;ahGYxW8{z}Y
zQvE=*saV8RJ&?{6|4u|BS0WVacC}!S$^{tp34v-7=2rG4&7+V*1&|IvsZ_Kjq0mWJ
zk;`HgOHsY6+61=F@gOurUgoDy$iuz
zzEG#r@eivWC(D>CRBWV^B)lQW#5b8NkzF6FR-)k*LDm!wyX8JZ;huCbtKuN7OV;>O
z_-^s8D{m+uxT**Fs7?h91uKFM-&ygm53?)D{yI4B*6!LrUKslKkui*b?ks7#yN
zsy_Y9amhrVR2~^&@T*&4c;m^N2cFSn~3#cRMna}E`
zYeR&q4|XqUJZosR(o$W(Gx+t-pS~l54#dhSW0@oU^kcPd+&
zg{wgufon!A?s4F@$2XPxEQq)UAvS6}|KqmXNM&X$AeoQ0QtfBDKYUW*la!i^o!ZF$
zz7FSSF%IS)I{im4;{LuRK${t03P7dBPrctE+@q){eX6Dg-k_D`JkreEhkNT0hk@sa
zfU!}9&3&ubeqt+#fy#?hI2QS%Dzp4+MK`&hi#NAU)NaO9veu-MrCD=mOf%
zNfPcN;kQutN~SxT`=M6^3gm={n!e>*rk7M^Y;g8HM!t^KQ3PbsCuYq6Mixy?RBt_CJ+=OLD9uO^&jRzcbVEX=^UHHbk)ptq~xBzmzv~5
zMM8oyZFp>vy0Of3Yv12t;6T#cRr#_l>N9&ZANi>OyG^CuJoGYW?JeVxL+1X6*E4+I~I-rILRh3()1wW(n*B|
zbS>*l(moeOp1CmIK^B1!VxViD4R8R^7v)I-kj%)7Yu~N+jN((^miRd|OwV<>znwyq
z!2ocHiGca_3X6#UD|1!tDFbrx0q0#!B%`)^BA{A0^wJ;-s=_lTYoioQ`M;J)4+#E&
zUp@FXdvD;4Z$$0H^?9YOBj_>PPBt4Rih6b2GBjld-Oq&HX>Cwq>BQnMUka1^4p|YdP41
zja9j_ay7Sox#CWefD?+9C1truF}56T88{Uk1HwphiBY7{5Q7o|#mKT;I-W2l3h$@q
zGuc;}k}q%(NDu%@UewYR@);(J|0NWPg`$bNTZQ@5(sPR~9uZY=B^c^Kn$i_#ZXe=G
zs;l4QeAiWRR*wRUPy_lNmKnp(d$Rw#!zkN8ubSmse0*ngPH(QPq{A2H*0%K*ugzPV
zY21jobiW20GdoVq5#jsOM;KQ%D$n+VfVDq1H!;Fv{_0CXGV%a*Ys7Dy6nh1Um;n#^>FGG>TDOmS|SYJ<*)m{$^
zAo`QmPEtv0LwG~xo~8Nqu_z{OT!Q4l2Kj%zEx(02F~1rvMZ7dxMw7}|W-HH>jGF+V
zAKclnaM8ka+gboK@CIMH@6blDi
z+4t5)11h}ikUWIgt*^!rsO0x5Mc07qQ<)z=_NLG4?<>&7brSLaI|Tv+$WotbHJBIp
zP@GOLJ^-<8qcsyzlE$K+U~&y`ObNr?F!?NYDh{T*>%dW>XVjI
zh9QnHjSOrmbSxGnSery1Gtca=F7E%7C3dB}e*;AM0wU?b^spptI#>=zNjU}@i5&i$
z7kA+rsjR(6Kxv@U_hjmDqJrlw=>N7R{;T7U+`FfG13)M+Weyd0Qz<+l7V8s
zOV6INASmM%rPPzNde>@&!Iv79aV$CFKwjA021U#(7awl-;a`UXwe7>4_EH+}?jNef
z{zE;3Y{D{=ZOZ$0oHK{TPgPR@RRt+jlAYylovwh5phu-qK9Ge}_)|b69~g7s7RMAA
zy}dbo&J7rTuh+GHJ@QwDXD=Qelf)J>Bhecv70GoP7(q~kF+HY(w-6D%_x3Cp`s-4CJ~rrLk~SvNh5NgxzB8J#wU~C-Kgy;=uNwF0mb;|
zM&N198$W(vcEOqvP%a0>v);T&X7@{w6xXs2SXLsRQmdX&Rq4j9d~gRJs!p3JM*DL=
z@R~eJdMC6B+bqez7r@phEIdn)dEenxQNLihaff&LEPixJF5@C(u^7CiVBXetoqXrM
zEt(VyPj*3h<-dg;ctQ4J{;Ha(umE>3T?qL^er>|k&h)Ox_YAEUsUOkR8
z7HK5`1yKVB$XE+s76f+7YKKAys{cOQxhE-{j!6mKed15ui63&Hz}ypT6!bh7YXcoy
z7af>|nkw>5BvDoVVOl^7;&F{3M~ZaRl!xr^vlR;0g^FIc2g~W>Q7;4+ku85C8y&<0yaR8a^hW4S;_;{6SYqMtd_oVAI}0Z50bxo38oNTEs@-){$5&$
z>AYJ~OO5>qNGpo6$O^;zt2tiJXG#ksK+Q;RcD=Q{F!vD*Y$)bRTCZmX%3MC+(h++L
zP7nuEA$DcaM;g&uOE@CoiwqQHvb+MP0mVU*nd_HE=iaU?k!wGI>LXI09N4S~dW?h{
z4De$Uk#WuYqP^sgMM|;5si+stYv%JOr(n1gGTji}B2dvz@@zL@$
zYGXsqlNQ-pgulp$3d@cmIHZz-CFg?^auQl?orn*IieSMmmhPBH$
z$ok+u*|C)R+~#qeWA4ynZ%v?4E^r1-F_OygW=QU|e$?pYOIr+duH+gZIRj&}usU1H
zMJt|~w}AY1aehub5O*27y{>?%M5wAM)b|Khx2q`{s9c{w?F<3aWhLC
zReBIyKyR=8VY3zsU6_<)GvwVkr`E|qq>%{+Ddx&ac`+7;5F-%Coqa>o
z9RRfydmC&vKWaJe>f5<~q5ao0*ZNj~PwR?7qAw7#fof}NOf
z1^Dh-<70TL5q5LMh{!aw`_tlW#`D9+no20W#|jI*x{@QZ_ikvjad_y#P%fQgAu;n>
zQA{sPF8&Bi`j8b@Fpc0***LI9=H-u~sN?
z5W=Sez~*fi@=dZt__3WN1#;*udxpS+AF!31&&_r3V2A+wWOH^4su@^qWx7cLCjLRm&jU*nTx(
zw*6nrWc%Zn_71)2teQ!P_hkm`znDfCnUEEjVG{M5b(A(+$*1l9{#=o$`!
zRWt>KoL;rTbE6)y6Ok&gxoO)z@Z9gly$vEEf}&$^X9-g&q#ZL%x_RL^+zcmxW&)=e
zMoOoI2#hl)MF5`wf;4ktiiDApktE1-%ThPKuYTheMM=Df4=uaY_)2bwj6p>;i3?yL
z!?-=r8{i8s1UvjW7}%ToojB+QSyxJ_-)Q{4yD_Y!}2==u=I=Z7u{
zh>sII%jly-#(+hxgaxRhIp2~?Nl9lDxy$W+JpjDYx(CrvX7CC?&^uepiGdkc3|Rk|
zep?*hE}F`mK~Z5%7q50-ZhY;$$IhfyG*SAp;V?8h*ctU5yP+OeR!T>9z!`Q}-5AA_
zzqI*5=i(ihywxCGuL&yV&r{K%vPQoL<63SeUukue{RZ3>yk3S1be8I%HmauQ<%kwM
zrJS|EAyN2Rnq*7hebPc9>hmR=i|u9T&h~w&h85U};iz|J-s(Nhfbdpqx=wm6Be#eL
zuwGm`ST`B~0h13l0ILs&2ER~Irv6Gp)dq9t!)-DWi6$~Bx;sU^vBX4XjWP+|+DMuG
z2lr@$B6Cdbv!^3%IrWU%3&4~T-ita}yn5^8RYZ@XDI>vKveCO>Kdv&szSi2P%2I>@
zM1GUJg-y4{&%k~|P||?=)d&EFh<%cYoE!dZFH{dW5S(6B>~<&Jf6yru4fmJ_DNXnS
z`YaEg(vaj>PQX}>tHJE-u8BCjZWay5yt?H&$I1%uL>@wL<6Y;D_{jL`Bej{|d@WU?
zk$I~V>N(MV%bF#rfibNq^Q5BGgD)v8!vRg7c`PNqpL7tkFJ=M(Ipd}LF5OAIddw3E
zt62)t^%x+zcHEBez^&?FyhzsHCi;MvcKT89^s-#Z5%t&I;hDWaP&yLFnwTPDJn!SC
z>+fiEhW)X)HNXilkuY-s4UPAkqh#o~x#DJU;fF3w2R&Rjz5!>j`(QGCoMvlu=cpEL
zR~>2CpjZRP5L&*v|FBpQV}Hnf@s6V#e%DD-dG!O_?|XT`pon+F6Qqd0mls1a-0RIQ
z2X@LJNr>X&8enph;xBtHa-Pazw=c01)>ul`FN#G=x?S5$pJQW+l_0@tcEG>|8t02X
z7P(9to>$OMpn_`|acL^^6HJuLT8)^tBHEzqd*Yt&PWiAZc`*EfT_2ba(bC
zzzvHv18*D3kfbygTR)J^G;Eac@Ji#5KAP!wT<-buV9w@uRCY>nq|^hy+C}))j!f8Q
z#`D@jvDYh8Kn*xQ5Cjp?0_{J+JRu(Yk7pSNB;CSFCGIstu+t<&9=@v-3_Id(XV?Eom8MMAphgqFj`o-00CizCHmK>
zaUDqde;d9EPFr>)K@*flVtwoV_9?N%jPa2ky&gCdoTIDN-EH$gC97+Dmv3_i40CeU
za4R21ctQ=PZOs$T7GKnsHC~^Mr(18TvKIgI$j>`G2$VL(;onkFF?HGtIRcv9JUjuz1Wrl
zC8W$CE)nT{93y>tS|Snt<6r&lDxHylLKzm_1!1(w{?ZfP3}RTl(T4CR*nlG|4-KiN
z_<-$JOP&qP%6OtiabF;=@iRn=x@|%exZbRC#|!d48;
zYEV?xtbb-44LHg8@Ff>`L+Nc>0pL_|2)-QmnBi2Uwuwd|m=FY(p@Nib9~6IE3%H&}
z^UN=a)lTfy{|+qVuHU?=1vtGyb9wo&{2F#^
zxUiw`??L*0sTpcPWKoxP;G0{WDwJMB2dedVwOqtJo#w>Me`*Ps?fbiLM-50mya)93
z|E;WAQV6u@gI|uQR{9*mvuyTq{5{Cp4?%70y)S&hug|&a5L=E$aZByhhOPUjEFjzooq1}hUT+5fPH)uHNUwD
zIdh9*?8o*)#aV*@ofoc9>h
z*uxdJ^qwSvi%Im|-PXbQjYmf1ELi^$!VDWZ);+d`cK7%gwZ>;$xK>r}7|pBDQh{3C
zhvKOKpXsEffb6#@&KLZWKhh5>u!Q-}lyw6XN7N3TOhcl)hferNJW&@0pdVq~9gUv!`
zCIp~rxcZA*z^oPWpAV6aDO#48i6p&ARy?e_SE`P!lE
z^6|-PfaT>tdlHDCY#Z_sxG}lui}2qKn(QQVmKA+)RI?@heuIRmj*g
z7y(5mpIqCH3Y2mU)60$(^Wc~MTM$n0OV#KwU%(&zH4jaYd`W+SV>EZcgbPE+`}OTu
zh^kzZqI*SXTVt})Witv2ct}T*z);o5!vkA0HoaWCmT}doY%VZd#v@C5{sZ_@mmfUt
zno>K{KTHMV8WMM#6Nei%R6_!`6y%J7wnr~KSL?tnC#ksF{N_JGW|0Sb2~8RBB&jts
zgcn^Usmv({u`_Jc>Lu{8ow$IT3&<67o#6{I;Fg|Kuzc;VJh{r{gAnoZkfCBML|jW?^De>bK8GsrXsG??Z}
zaxM8Dc)6Z;k@96Tmc770Ezyci3GSdxJ09RrV^?^{jae>Zpa0YWkIJphodG~c>xGkR
zaZ&!Qs_25kDDfB*ZF@ZTSVfAjyh|F9bIMT$~Vz(kN^AR6&u
z1aDP8EuF81L6>~XYegA-3cqwZi>Pxg-)Z(VMI;0vA)(}JMfkrKMhtF+_nVIRQu5*s
zc*0*uP}lDzNtXOei)G?;a%E*CY4cgK9K+<)RA5#X&AnMZ+OgLx&D(_KUR!m2n{6*H
zzY_cC(`4C7*fj%fmF(dLU#UnNV?$vwbWqU9x`-Kz-)^ybwb*Gq61>a($AE#8|MPMW
z5i3UUTJi^bMCz_nge~K7W#*fz!3eP&~jSrSCOaVX&L9uIB6f~hf;&u
z-Y#6pF!Y%c(zt^y5+C#+6NcxdPdxi0dQFzYr*7U-k-77dNf?cmS*y1MmFD9-hSQWI
zkA*jEP^IeN;En2f7^))vCcw%itN+5pa6A|HiWy-T&NPD`y>{{g4V3m<eY7eNzo3+|T{W$)VeGsu>(aYoD(Cjp
z{AM~Qm#?QJCMK@OisbJFh2E4eG1=nC_yu_0VuSC?KjM!$gjbDbwCfZu-oI2;bu?-?
zjk~qG3ppM0^QmejMW^J%W{#C#zrJk6q3Myjfa4vKGb_zEZx%Z=$c#gCE_{8$N(}NA
zM^JHAjJjzjbvHHL?|6qRmLrI#Eff#e#77RWNx1Cjl@axWt&R+ZeOHAsFv5<`mIq!u
zmLvSFBY#{fW#>BZ0yVeJn?0VcmCVfbc-x6?l>`fAj+k$M{BZ?_!MSoJWFvpRulmbV
z_u_i}17tzF?+g(ew-D1L!Lla~4RI~pl#>PQ?mHe#00dNkua&0u*To9kR$y3`N2>BD
z#|p8apJq6^J*dkD*Vj|9pdXbuDU}*x9)#2-wQ&3CAvwPHPT8`pOX8v0S3<9geSV;S
z^re@bL6fA?qPDg+7B=2m$oY;=Uu}X{y|<@9B^2gf>kq#OOz>OmC~B|Q{6-g;eE%92I^zo4L>&BJk*x!)i4`DeDzQ_GF3R;@bGvBOvXza0|qYm32b
z43;nZbfD6pkdS^5S;_0+nso$qX8_5zpm~<-N(IQUrV|+%QzZs%*B^AGhr
z5-I_nUwtx=)@tblq6_ObzI`*ilO2A}W+Gw9u
z?uNr|3?QV*_m&P!THS3!{Wz$)Sv9~-&&=KIaEb(csXeXF7g;gd_mWyS^RCh9dn_Dd
zzg0=zaO~KZsz);Q3|EKsl%Hf-ah~lzX@Mu3O-)T{_PP6sKok=nc2%Sy2MD65HjO}{
zNb$OR#xd!2psdlm)a46UjPO`eQlfgr#%J1*1uI|GCfY#l=?!#kl-2rJ-WOabdk|2K
z(0Ntyy7{mP?z5==by$f>dz)6
zCfZ6p8CS$~LrjXaUb%tRDydB1>9k7DY?rh5JIj|1ynMNhKa=V3l%}1#*UnC{Eg(#o
zU9kpp8+7KYPYv*RdlEwmC4CR`iIjyQ@pp%_Zct}a*Vx(tsy~kly>z~~dar$7aA?KW
zzIA7g*L>~i^tDMH9uJav#p!1>&-d^Anxv4Ko)WT9joWrKa~5KKJpVC$T<&ATh$6aR*W}>
zf0PxqIa0IFnqR8%hOhcoMP0o3$+RzuYGp^89I4~OZO8X*yT1v6lbI|HC5vqcFlxiy
z29xqR)=u{&&Y4c3D4(N1Ls_1(5g*$StA9h=H2VjHd~T9HlQAxl93~L32_fuY
z-kS~Q;@a1fpl>~vi&H|u;RJ0)&84Id_9rAHG|jp|O0dktWd;+PI71@Jh>?j60
z(*@|PLeNPZF7-TeVCNd66M@}zDq)UnM4F!Lep(KZZM%7H_~N|$0znVs
zs#A001q@fMb8b3PUa
zujuPU6paZAR&HZ`uoN}8GFWfkZBRca3W+)eQ3g@`kvaA@%1C=7miC4e+Rqm+`@;K>
zzyCS1tQ`=4{n8LgCCFkD`FP~~vGXsoX0Dr%F*NnF$nvz4$;l4*x$jH_Q$&h0Pu-Oq
zuACk*v$QPz$^0O;QMb@Y{q&<8h`a*D5Rr{4`BDCIZrlUj%eFb~vhUhn_RX=UE#+}Y
zs7tiG32f>=RAvpY1ZDA|u*c-&Wcgy%mohO*P9KrY#@2Sb$6mEsTQUoy11cB|PE#Ue
z^80gJGnX)9jxe+4zmm(TTWIYP{aLRE9XgZT2L@MJ-~ZBw0rEV0>ImIE?C<{uf0YRb

literal 0
HcmV?d00001

diff --git a/_images/dc1b2baff44436df3147e0caf580ba51025cb178b6ac30ddd53401cbbcdb082e.png b/_images/dc1b2baff44436df3147e0caf580ba51025cb178b6ac30ddd53401cbbcdb082e.png
new file mode 100644
index 0000000000000000000000000000000000000000..77cd85bccbc83884ff0021549922f9ead7e8f094
GIT binary patch
literal 20383
zcmbWf2{e~&`!;%;XPGn4B9sh8hKQf3BqVc1s0?MyEXphyLj#E@4H6~FoI*69NhKLW
z$xt$s*vH-bfA{{@+WXsUuf5juzRy!`_i$b3aGb|^oL7>CxiK5FATvP_Y^Ej@D}tb=
zAqc7pMtc0ss&dsm{A+8VpnMaUuUlRjPZjl8>i4^D63Q%h1-PP%aT(g`E(&6ZjGEH8~G
zHwYS9KJIUROdVv%!@^uDcl67ND2@>2Xy#|n&R0fxRphX%K5Hm__grV}lGM{m#hApz
zM6(?IKtfVdlIyg4bYf!r;|f*|PR{chIaK&N?lu)Y3dL>6j-I?wxRc=I%t&$-5SNrx
z@l&LsP$=tC-J{JuByr1jl{u=1goQoo>EXJ4`!*vZV^f0I2|3LVUTmV;{Qdp?Myr=D
z%*{>gF*~n9*WBDJXM0;%+VoM1fGVX;l8d~_+v&#D)T_HL4n571J*O4CaenfBOdQKv
z$xWL$zP&Bu7TK*7Is0U7Z>9U`aekTk@ouT*<)1IxpFMkAJKdn5$)3@lUZYNR{zlFQ
z$DtSbT8U|C3Fpth-&wHd<{JySxmtxac#ZDv?wZh_SI6b(rKSUAO}R3&vMg^qZ8a;{
zmT$|@J~FZJKGo#3s7@H|+O@gVhJ@Zp$vekBY0@$%L{L+WX-{kwcXyBMVFT#IKt+
zWv8S~6H`(ir%Mttxu!6vV{|S@XQ6SSD`Yp~p;ahYzn^>Qk`2
zEiNrh+nK9mOrg-~8yHla_#1{7d(aec_wL>9`tabu$zINn_m3JRu#3!0Tq_v5`*K^$
z0>>@9-&fMTxoO)r&>Z9U<=J`a1FpSyTrA{x7Jt1vP~qH6ou?hjRpwBo@9Ftf
zAT~02$2)fZO@w3hu_w6)P9*7s&kx|=
z+i@-S!+OLkevMeFYg=ml-0W^EJ#fzLZ!W!Z<>8p#wY0EF!1l3IF#eMLKs}+-z-VdA}_^S|G*R5N(I%}LJ
z`gBK$)g|pv{}op(;#sQpPY;iWPw1oxZ8?c4mD1NW|}nYm3-A->DLuLlHuk@-CkDoj#
zJof3~Qe&<(lZ1rCQlq-6YKx;!J)Nqm>f+MUsP5FrNbHZ%&f&LZj&zm3zP+0+`K*5Q
z1JC~b`+FOsbm6!*noP-|+PMpFG4n9fdUCJE}p6oqY>E2lsF!n-e^u~e4ZGC-x
z93moTlwDhSmX2!$Po?a+W?t{dE-Ak)he{wA6gyB+CB3r__GVlmkc47
zbi(7mJipk|(ZLMI(691*#2hEF&*YpWE!kcVcODZ3H6Hox67p
zs*ioz6g<_Z|8x1%r`q7z7h2Po@iD!1p{ls^{*LSm7k>A+M&;(^Eq9cEhwn2mB-n0C
zNZgU&9zE{!?D=!$$lrkx3!j2DqE@sCad~;>;OTzDz(6&J``+hQ``(@ToZDI-zQ7zg
zSytUI|6}vUjT_UYnP4ubN=n>MzFa%st9zgk?xtvWhhSo2TKr!9dDHQ)*4iO6h}WEk
z4O0lIj7&@?9m-k}8d;Xxz7GviA3i)L*=TfL#eM&I1w}62J)ylCK*r~6`Mq7&c8kR(BuF8wa?6@i
zt{9zhK6Whi@ng#5=SH!8wLykht>lO`hYugt(9&vb4*vdp@F5kf7Mu?cxF>(Bgm1=})*z4!0l&3gX)x%=+jyF;6zseU{;
zz4k!ZRQDC*(dcO6eQT@HM%&wY+7XMs2ve8T*|Z@9Ix
ztgOuY=+O*|HT3=a_dn`Fe~utPJhid0sm#yMpZxYsAx&`ejV3>ji@CYB8Rvca
zY6@Q|QhuLO;NY6b*n88)r9E9j1BSg)Y$Pdpbhyaie*g%HTKvxa123~3|96Nob*3ZQ
zq0H#uLCM#iRrh}a-DITJTME>KFKm?Gdn2|sc-m8I4IE{HKY{801?K$!!bbngFR6A@
zC7M(tEuCyhSTo#ok|qQYXJ-MjtO0g|1PpeLjx0M&C=b^GnKe$CCM6}6T3_cn_POB<
zyx^+}-2&HaLiDXz=TV%|++t=B8$HWiSGt
z8BM|<$Y8~%v_A#OX1PsATf6J_J}v7~i@}ny&-LMJGcq!20>;c&T>1F;76)S1Y&!Zu
z4QBaGv3C8<;jy&h;&3|A;Nakv2feD)Tp1O>ek%Ge3v}C%y2;F|9r}Zo=qfT~3H;oF*GE40$B8C+}`Qbr_C|zkaL{-sQ$It#fSt1q1jEiU7~0Xy5Gsc3KkhoE4xgh6~=kcuSd
zgf74|O)#E(&-*=>i;IheeD>m0?KB4;-_>ltNG~t1*todCk3NlY`h|LScKitYOFgj$
zk}BGGF#RM_*pZ%MCi6?$OtP}Fll}EVg@uLXdE6EbnbIyj#iqUW;p)O7B7Q$cOw~Mk
zXc1j{K7?~+1Odnklp?Cp($PsMD|0q9G{AXyKHNWg^X|eLX68qL4rFXYV8RuH{q?7+
zTR1aT$Q{;86Vo;F_1$!PUu}Fxwu0+)fBnqtY}!;#b0(n5ob8&_Mah5VC{o}NzKDa@U5f_#)X
z;zkHk-_J2dSTpkj$(h}IZ&)`Ybt5CkB7R=>dUw07GrB$c4nBv`K8K9l*xN!B5@a|A
zyri^s*wzLeMKEZ3@q!(ghJUNS^g9W06^_2D^maW($NQ`|ZOh}Wu0Mt;cHMC?=+0n1
z(tAgOM4>q#n_=O&W-_gpT0S6ou!p)J;ZlYDSA%p*liSCp6m
zwEZ@B`{a=4$NL)^R(^Yt;EEsNACP8t{-e+7)RN<-rVGrUb`$NN_FUE|f4^ye)M~_2
z4Fo8YmnFr;mw_DHJ392oUgVQl_H^o;!=9^V+mScZ&!11icS~;Gyf;uyJqqDA4
zC7xB_l#u$drjH+mU^;^K`|Updu#ugcpKk>UQ+8|T$hxGPo|8krRy~bcOqg9fve|`N
zQfCX&r1!`BY;bEbo4`H{jl*2c&CP+(X^;Rbj(@X>`18Gbai(RBVH=lznN5I3^xTD&
z)x_;?MF(A7l@Vu&CV2Va^t6(OXo-=AVESrp|gAl_r}^UL!VB=W)W@kC@T
zuj9iKN3*1vPOnuW3m@{)KKG*HKqjC(#lS
zEuea6pr>T#DQ?d0&#?9h&MJp9gDnYCs;b=6bwAnZS^32^Gh11OH8@bB86P^d4rK&;
zmBR*2F3!Jk?$IV`iuRSX#;L+5^YcYc{GO1F5fxpOHO-s>!fA#n0iLwt_J(-#Mi{|F
z63Ua&&pIPWalGyxs>eS5p1IVq8m{7510b!K{DVVV~N0h`vQgY&u@#=BxA)?-&Vx~4Ni8cnkQD`ri3ioUe4G=
zNXxIE+NCFL;ou;+ZFM<-XnJ;Db#P=vS|ei$DFN>)0w0i9qyAs;du@y{eUT+npWo295y?a+G%f{#a?3}V)r5n@6eGg;H8&?DY
z>3BsZs*>f`^aUoe3Lx>)K0rj_+vvndEW(XY9c;v7&tJSajJQabUi)DPg(jV>q{=SD
z#8VN=vu*7!UbJdW*Tt}lXeOpgnIZ0UHAIG^s&(x+yS`|cpJ~cikn?p;>i?q
ziaW{nrp*Rcp)IVstIMhli$g2`at8vXOW%0nH?o=)@Ed%*ym2%P>`jjzNjCCu%q)!+
zv^;u54Z{Ze4yn@}S>5dU@)Fwv|6PQj
z>$|+@2QV-UJLDBHo+d-goyy8b6|QXnFA^X-o|2}+X`h4o;{ZXlo)KbzPc$dZr6I(U
zeQO
za?6eTac?Skl2YR`7lAy+ymswc+}rkn|0wwS_UAS3it!dHg@g6~vUw}Gmlv?=o=4aC;h>ulU#mnfnYMBeT-c{`IF_h*-M
zgov4D1~JC>Mei)OYH0k&4-j4gKH+``alaz$%fRC#ZgK_jFT*xv4f1{^B{HdEx~VY?
zYm#xld*uD(rf)QL6&ehF{VK0RzPT78!m7cV0@5-STjGLp~9
zw>kyRzfP;Gd2FB$pdPXR+NS&EMH#av)Jc!SGXD@ych=x
z$JkaM+ZP)ftA};G=+nRn!y1Rpc=Y1=oP2!rMBjOfm>&(f$P+-f$13(;%*nACr#ISo
zOw?rO&R0fGk};3YBqyp(f}7I|3fh7^z{$@qrmol|jt9shx-zrTbU
zZOUxcK0L`uc=La@*~6K{%2$qOb^RQBISa$2YTp-jPEEllX{g}DZze#(wR!RFA>`Y1
zMXmlhpnYPQA0Ka&yKx_OP!nZOTy?cN$eh@j8Q*Td#1#5YA|t-NGKG$Xk092Wog+%D
z)^ADYw35$W`lE$PHhL!yw+AD65eartgv!BYS8jwBhl1dUL%=4j0b~z(FKY6#k$t>m
zs+s)${Ykv?K^WtbyTWw1IY1?LgbFtRT!@x7?YnBnKt9ei^N!cMjgQ;fPGkFLu>ESz
z-9?6kzibUQi_zS5`G)oNOx^9O)8V@*GT43V9RNiy4!FswsabpTb7wBpv$L?Y47a5{
ziI-6Eg&&m6{d}oAjEq(a&cfl|5ed!Ir$^pb%6xruGhysyfh+1CL?r>W9I7I#_NPyq
zVd7Lo*1BDw1y6CGk4GSu8{5xm>(fU~M9jZe)2Ou>=y^nufjwC>YXwc}p?-04a_XuL
z_UZOBGqUQ@p^dEK6j`a~%?WacJ6im#PqMiArsxW%00Li;6&Y;_=f#=9JNNGKOul^$s^N@b%>LQ?ED#HsT_#hY?FEl2TFWbnc_dWQDtW%^DJnYOE7x3g(G
z2}`EGAj630R1vL5A3r+c+YgOdQB75W5U<=JqrsNp0(+J}Nq!;qP8PIpb>AK-l=
zjp+M57U|}sesh#jkts7>zh^faAC>ln)yG5#GGLr~
z#h-@t_x1ZJH)GlMveE8pk7na5-bM!FI
z{w{F5eoH^xL46b=k`xW|=M|m!&5*qEvR+zSsH)}tna{%$e`&Sr{P{+2E_qCPaSJHC
z5D*VD2(_i_k6Mj9yMB+6ub_PLgX|63LiAL`ZLyVIzJii1O)7eG^rE^aQqBkkMBNZk
zJ{UWoHmAAm`9o^rSi$?WXLGVJmI+;UZjSns$iO7D0_-#flR#Qt;g%yRJ
zsk=!HHY`3SCI+v1RnfcSvQ-jzZk^%y_HNh`WZ|C4}5d2Hgumw}7dME>t9`=XXifbd2
zxj}IO_AU7iSQA1IH5tkoX$`jQvnBZkD{ouhr7drSp`IY!0(B4lqm~vb0)dS;FMh|)
z-#1yM^ZMBK23D|Z$^qnQ=;c~ios}fpNg;2
z6i<)X+CHt5?Pr19{u-bHb+b3RxaFwD1Aq5!KNEw=j?l{yzpAP1Tc5kuQraYX6kyR&
zS8Q%p_>b-&us$jB>fdRJ8o#;VcF!qWy|e##&7vz;{CL
zGVhE_5o_1nevGtRtd1pGS?4n}@MpSl4eH=#50h8V6mJc@FBKsMS~<<7r8^M4=W<`a
zw)XyTkBLZNOtJ5`*naTYiDUaIb88X88gK2ZqMd?QahsOI+HQ?z=0cx=tTdg=J`vZ1j8C;aY#hcVIg+*J!UYufuKRjHvam0*0@Ho6z|t9F>$*Dh^CmuSMbUt#Ibcs
zK8croJ~!OCH?ml9-Qt2{(_PC=!~lJ+>^kl?rdYQgt37)v+&lRQVM)2$_wK3H)P(Z<
zt|^>hACJD-ebHBTi=e&IrRGN;%u#Vlfc7meJJ2XfF6Z8xe9M2?e%frceC>I>Fj#=Z
z0D2cP{eIk_GU2j*Z(kD`CU!$@T3(YYg9FZ+m7`8+s-iQ?k~U4}*+C4L$Gi2AEb_jF
z2mutlaaPwU|6E$alIKvmG+k!--=u2`KBvtM(0U@y--1h%O|;tD+5t7`WNB01n{W6D
zTWRT6XeEUVKNqi?qG2pF9Vqp6ciMiJs$rLzZG}lMfx#b#q}i*WVD6u
zJ*kRu^!ph?>lFFGOXfTuIt*K1Ueakndx9VUBzf|Tba|=-IGydPnRDWUv)F5bd=rRUYF*|&~9g{a72`j>p?ud~(qi?%Su_(bx
zMe^IV@afEy=4)BwtawcgHS=&0YjCf!{xUkatdi#x38Pt)DEu5P3@7cMRe
zp&Mc6ZTI9YXHO@Kh%B-KK<}p+JraEL)D&NHD{=8xfYGP_7l-7P?H!U0%U`8eE+q-gO8ymi_Z_7@DR>pJU
z^)m+sEa|@HdG~GOmO+fPA@9>EB*_nsdqCRF1js9RI2Zvk&6p7jx(_e=n&iB$7^mrj
z(1Ty0V6;VTOXl}&W-b?pGG{!6Sxv3Pmp&AP%x|&;;4d3AlUMNs!9-8s>k9Sbm`}Y*
zw0&*!m1vZdBJwDm1>{J`XcK`nU@wa6c$2A-PO#V}2gQ8@2bo@x27NBu?QTuCk
z?Dt$>Z><<-tm1?OS#N3
zk+cDdzKR1}_sUuDPRGB!r5gA^Z5zlR`4+|~i2H%wG3@yYO
zd}%dwi^UDcwZrBZwSvFgmi18#=A6mVo2|Q07qh4{7=6p=%Uw0Q4}L=4Dx&0D-9<|X
z#eB=lmut|tLk*omu}_nibG$B(EIqd$c~}jCg%tCC4k}sp%&Vijr0bs4GPk$;;%z!g
zcIJ{TZn^9ob*n3XiiUZ1TK=RaUa)noy~Or$a5CO7BygDeQvYr}0o&c6n$%9=PCNRO
zW5^(M^XAO~wI_RC*AdYHG;?uPF{svxNXoY1h8T$s{tgMiNhpEBMOH{DSJKrf
zWGIp2S@zoXL1sPAjAx%H;ro+6fw_HV_LeFAG%zL_7W-)94QPuM`lHx*rT1y1rpTrt
zC(4V!#X{iYCwG+Sx5Tr7Ifm-uJY#sUk4D&%zRgY2a<$28oE)PmPaQ8Ueo@}I+bsT!
zdo=3@=s0{4XU?5JFVOd+#cdG?bi0*YMkdD^`!CcKw;Fur<dtCRn
za!wtm{-2y_`4o=ZY<1nbuP{BfQ%F8qlfiQ{3zfh+JkJhY}t@gQ7Ir|wY%|Mj1Sh7Xx4
z1$$@@7knV3ODk2<`NN598jw^JYsEShJ^J-NiOvH}C)1JU1XYe_N^iH4ry{B~to7&<
z@h0Z_`qcB&pVx>7D^W|t5%e+imt@Yy32F%=E
z6ScZ6=zE7w1v{h}z8BP6vgvo_2J10AHoRrjv*g+y^1}|+{%$CnN`(>Y1p4_%Uybq&
z+wzT??A;3QYeQR})~<7_Vy-ry0xB4s>Yr}NTF3&rgBv0VM;zj&Y(F4#>Y{6c3-TxS7jXc@HtFZ
z(-;e23(u?1$BHFHq@0pCo19|`HW9@a}|PWgpSJM?Kh%)-@t2}~wFIuVN;z!nV78eS|MfA@@D
z6`>+b$5O?A+TZBiL@~s+*7J&rrsm}dtAX`LLmW$0O6dr*rjlmz+{=C}zZY@evJh*h
zgtg;Uupx+eb`g0EHp>Z<e|K5`jpZFa`_{fxQzH(w}q*=%~2szoBqm!7(Pf1~2{{5|-(4gqG
zw#b6SAnUZ!N>%t{m;iaf(U12fKrDb*)kobzmMDoo8rYn_+lku0EEswrmH=!P#zbCO
zCvj?f3_YlIAoF4Y<~XkGi-AN_A$5B@_v{uqs+BD$S
z+`kJRJ$fV#xOLw<39Vy%PqC$Yhb`s7jbCJOG~D;$+#Ca*!UpyfX0~
zN(b19ag^SLwZvC_OCc`5R}wuusyn@`J-hhSQ@s;z*#PR$Mz_!w%aUN<&vh#5k(5yi
zS@G4P(thzb&LQsB+Lw>xB|wu+kj^?ll2l~9wAoV{3EXC@?QOb0%-K`~ldKe$6g8>N
zY^PEqc9l(t-Zb+cz%tDo;64|AeBk%scWf-ev1npa(sna5Rw!J^q=K*$_^9@&77=|m
zHUtC+S6;lCNGHLRtL}FP5yaQej}tGXuK2x!I=PQ`OL>5yJ{Mw4Y#4&*zv357al{yt
z>f*+ZrZVo@jI1ZmPn!tmP;q%ey8-qx2K1r2jN~h+_0GeS@sn#`rt{xD5GbhPqDUkC
z`m-#%JkRnsldGd8NwLNn8R?G)-{;0Y0K3I5s?8Xu-@GfS-EA*B<4NiDGc*2*$oxRM
zW`N*KS$IFx-KBOFMdqJt!ONg8%^czT-lb==kgRRZ8&B3~ZYERVjmBpBZtm`+go(JP
zr=W9`8IQMgrekS?Un=rTUmY(V*Kj)p-$;Z}4kDxa1_T(irHWL|
zZ|n1lX5Ak5@Z_D!V58P7b%CGI<@@s)+7O
zih(}MXZayX6@}16vlf({*6Q=xyd9x3eJ`vv5VI=K_4PUQCMcWeX
z8rB~Dy!b4tufnC3cQ30|bBH9F(fVwV&i?>m6SR|vuP0IEV&~_Q!}G7++33hl_>N6d
zHG8z5MbTjn3<^Pw#$Q1p9%C3?=Ix)#>(C79z*UF72AZN6rI
zOd!N}EB)@NPo(Y8!B)-sA2*xlYfeNw*)D0|GCaa;^5EK`{zE1YAF1eR&VoN(=4Cjo
z<(J<6+N7gT;@-u!ApPv;WoJzPVD)9U9P3LwdzJ^9)S}2g^JE>PZc2qMbt}%v?jAi7UCt&J&{#9N?;9jZfS4-$H)75}vlz(Hb{^`BHb(h#?eeDFmn@CJ`Js4VUr
zdM-#b)%Xp=uT&KGIxY}Mmwhq+n6`9fWQ#I~ii312Dk=kGV+reaT_D>X7I~4LSG-GZ
zShyb^Y|RisMafBCXnEb*?qMJ_L+Ay9+D0E#fDi3Uo0|*7h`IDxcY9w+6&qN?W~f{6
zKzd-L*_A)jB;%c4CrH=Qca^m#Yg$t4G@?_GuU|;d1+f#0R0JvQ?CtHXoBfvj;l{a-
zJXz~i?%vTynjjO2oAz#087c4`k0*#qxHFY$=B7i>&K<13Us{&@V3+dw8`Ta$ZKL&G
z8Tr{s=-wAXzFH)ekukW5%EPeV=_Dc`Pw3E%|57k@)OvH3Dx(UI>Vt^r)xRGld!$hS
zo!Pm2cN=6c_z+=5=5m6g{z0|Fabp;+9h#bCM;HRy?u_=tnGV9E4;*{Og$v1u$piVp
z{YY2sa&TShIIAQuN6QP1tGsw+R=o0Ah{!-OQW5CSM(Z~>9;95jY$503o)x~?x%m_w
z2=r6j8Onp_FQ|E9D@heG`cCM;OCnBMR@|%H4#6CUm{{7s#zT7|%-m=LRCmNC@7_%$
z#R`s5>WYON`A1^)Pqk4o6P90jtm}Bi)Sxt5U
zCb+~o!_$0J#KWNP$*ARFeQtRX5fNP|A8;#mV`~T8iW9}cqo|diVuaq2Bc;gJMjNL;
z+X1J6!Ug;ifM}p65xwI|-2^rSX
zACB1gc)s5JbOkmpj~r>!C0mAu)fKXldYX+wpQgZJb^T~x4JY)CCvVa9`XX;DjhENAWo~ZHiB??W0yUHB;TPhXnhtnNXS}66n#FVkE35|n
z1@64~_Iqa)Y}paC>1Glt~Ph1Ev4^dth|9^A+R
zH#+z^;wKw%`S8n2P_rN%wX5yDZbb*$gCL$=RNoCWZjGxXNiie(_5=YXVFei2s~e_2
z58yALTM%c0wD_d!e^_`1w-EwodJQJm3WIIbY(K^rD;VtJM<
zXPWM?T2#2XxjBOyC;X$hmd1KoDAMu&HVXZ6NXl88liJhCt8Up&ZY9$t@v&m)q+il$n9#jRV4%b!>OibeO`q=s;zW@z0
zt*m6xBeH{iC2bouK{jdeb8^?61um;sLR3#u8&F&GZ}vP37(K^~KKQA-cU5oiuTMsM
z0Rf7>$t;lQiSn!xL@#nPq37YkR4)I9SzGo$pg67p3e8K
z-T13(Yj~JfCXEeYVeiOPH8eD20YRhNSShErSHQ_JP?>!D#-`=xehIZ!zX_s9{!W0b
zaS#pFW_S(Bmewuwha+N%y6!Eu&2$%lc$k_nJGbei?mkG67#JAv--wb>IJ8$PYH&`d
zUV4As0!;GY&=)EO*|pFnh(${e{wdM@nW>vWbsm}t=q1T!!DQb9*kX?>tPH}e@FQ9Q
zG|z-PXo!f9zYJ$?Jtw127H9WG|DYh!6Q~II!N?mbd9F@^cVbE`A>Cg=bO(!qwa-EW
z7R{PkEOL(1+uNIzb$fqqfV`t;5AG~ypW`=G-IvdFvuc7)AzT)clv3%AT%`it;DOUh
z4Fhj<ZA
z4jq99Z&N(_9V(2X9$$a|M{qJK;=qX|8C#iRYS?o$N}STYTkqVdGOoH`kGLbr27O*!
zRu(rY`@lZ##Ve{R(#&PT`kv)&MKkhagYL63mIHg!6IoBk#2Bok#;YEBHjo-W$CX3H
zom+iLuRkGcXDIZ;G|{m)%4!Y@WGD-$9~17#efd|t0o@0*C(`b)o~yxXGXD0II@RzY
z@$G?FgE9>0nCwtJXYasbZcMr026^wxZGTvanewQ=ETFexiVZNu2-_m{LBp>Gc3L?M
zJh)e)2@5)OaY#Fo5X|k&QA8%01N})wsJto|7<#dZ&;x@f0W3_R6th9MiV#O1-KWE1
zWo7l4Ua}s{4-s9n&!zpu3J<&J-T{%W?SSz;ML>a9g1&!13EbSc`WO9MlQrnYT$1_x
zB>V3JmWiGepYI>I_PSg
zMwp;Dm4_Ykjqvl*;wJ+WJA+#lkIQ
zRx5CAWS(0Flplrcs-b-|EO60Ng?=AT!
z&KoGtrYGZqw4}ihRDJ(o%*x;Cs4*oMb0}Gw5|<;N4&GON+fsK+i@2q))Mq
zz?csOrBMdh5kPSN?^IGxRGf=%i+qS5@rru%tcQLjQg>)a48>X!N>?EDJ5^Orpzo{j
zey`GxiaWPN9
zUIZ^&%abx2At50sz;vVbNU5+Z($J3=1hb7q7GEtMc)8&LOWf;eWl@jfX1~BDuC>AORF$kO7gdgE%&7M3=usR1Bf$}*LR~)uf)nm>
zf83-P!mO}crGwG;?%m71v@rg~(5deMv))uc&6dEBAM*VsCjmTZ1KLhSe-m=gSKYg0hxh)Asr0kL)l!n55QB7A7NzRy>;3-zKAys_OkJsX
zI@J)$7Uw3^Mn>r7%AGyL$Um#}f?HfN-#;+$F=W{;hYkU9Y#H$hH;ab}>FJo)#NHJO
zQ0KV*F;X#4;T_C1(aaKxsaaBv`A_;N0SOj915lbqx>F_f@A6he%~FeUfg4rdNzLc^
zJLtw0BEXXRTfqC-k*D0<8Kvj!=vh+~JJa{R51F4~_s(XYxhB%LBW$pAa2OGQORY8$CWHrm!fd(@mXz6(~FD7$cMXi@1El|4PrjwvG(N|*;M
zk{^|`n|&(+aN5q?jY+8#pJ?|c!c8YCxn<{7Ni8XnjXrN;iq*!nsU&-L!aIQM8Ch8=
zkZzLGRH%BoE5ZLcwMb0FaKJGv9=jbh`2V9ZA=TKy^
zSX3M|j945@C~~!w2yxfj{YhJt%08QhD1GNDj23Lm^;
z$^juP5}X3OJ9q9Rrz3%%ThJHlet6sq!-Ix_iqxIa`z=OC$lpoN$YD)j-gacGAJwz6
zqlRsgl06y#mym-LkzirR4t=b%->|v?>-F29Ki$Ta6{{8D)k?VQ2+p3qP08KN_22Pi>S>M3G#xf&7_54)-
z5uK&*jq(`bEsR+D0hy{k8hm7FOa3yZQ)cGp`9z*eSFnz^>#pV7Q5!D8z-NBSp^RF*
z@QpMdm88lB%=wbPM!w`kj|>FAtQhy${`|sbLu1vg!t1*36y@-l@7&oLW&WcoAo2Gh
z*8RoXV)5oCUvlmQ`SP8+kZ8h+(GrOHN7o3Dzm8PEEz&tM(-9rdTXk8Noxj0-(G0p++P>EIGTHa93wj;q+Voy_YjIQ
z4w2_aW}`~D!anVzSyP^8I5O#Cva607fiL};;sAHAsjsJ`WQ#JG2y*Uhv@^F24UO*0
z+i8R~15E-IuRQj8BV+w~AI-P6s^%y8H+@h1@rN#;!{$c(A=feIvAGk}R$QC{_nVsZ
zkRF&J;Cw>C2Xm@CQ5%%m8r3M$eFW(KbC2fY-eZTFPhaI5Rc%-9i?
zK+R{0WroI5k}4tSek{I>T8Tk>rn$A19-Y2Y+j3EmCirb;MVgYceqL2JaeQJ@ju6f|k49r@cjP&=ko#ey09rqsbh
zQBGPlbOd-aQ7oOy^cNWo0nUusAHRM*!6>)#u|5r=31VqW44Gj1#?e=$<%x;~_4@Ve
zL(oi&`MkUJ=h;7Zj$eO5s0=u?18B_r+Ej8~1Z>HBC=6
z5eHXB4u_H>qvhpF7z~Ff&*-w{6(bG*kwo0&ByPgR&F%8do@KX{==SU^wg3gk*V9|6
zGSACE8^otp6y;-*|D{{FJHzG=fo{@THVMdOKK
zN$vw;pvw{v&+C4@bzDSQ3c=!L!J273`oHrZ|2t_$4%C4c$JMcDJdjo4zcgIB*6bl`du0lwKxE7y$K5bg6#wj*87(cX
zxQYrFB>$VL@9>CZA=6w35Kc@@HA0-BrluyxdobZ4fH|!3o)Q*}vk~?=hHX5p(w$9^
z5my}PmL!QF^mQM>Vu0%UBNz6O6R8+bAqU~d=r}k9pj6}F;fa+pP8~p;BL}B&;eDUa
zsWxQ}ta
ztPbG?$1Jc64G)u(wIqwPy!7)NSPXgV(rDCuQkt5AWVCb2
z-}H4uio1O)hSTprt#Qk-njMYO=c}0e{I%)eV@A?6P-MiNzGz(N$VIlrb2E|>O%lka
zIm(oSn13V(c7a@HFtsbLtt|{xN=i-2_t%p{v{2c09VzD*+9yEjrLli^T-(^a`|HR<
z6JD<7VZZ<^R~%`{DE5s0B8hA8a3))_yLLTa%{z03jpSp|yu6Gq0#tUfdXkdz
zdD5oj0GZ$x??jwhA&LpoR+wMK(T`i48c&Fj^G%p-B{`?S@h+--&Ext=7i3#NGweFQ
zn?T6&qB7Y9#0|+A;hkCAM4GqxlRwBMk`k>iFSOrMYvj=@KC5vzX}
zh-lF5QaDTkc$OSYgpT(5yB6lKY(*IvI_T`-fw~+*LZ^Fs?eesO+0UOpPj|@?qrm^(
z@WZ|Bz!?KWLq9$M&X9_xxN^-WwK!j7d>7<8*bwr>4^)}k{ry!S?Bm2>O=+o|6WScB
zu4MPkzgz{w5DX_yoFMsaSenHZBQ_09&19W(jf@*;$i0A4-FJ4#(5Wt@qJ322`{X1!
z^auaE?D6U<`NDbm`KSM$Am^3pU5SBxILE|V1vB-SUS`0#8&m|k@h2uc=V8_}nC;Hn
z7Ac4^@e>nOQ&Ur+VWZV{tcOh9>aqYbF>2b$acK=TO3vO9U_}xn&Cmf%vFE(UQ?wJ+JW#hf}7>(1jq
zPd2F$o03!XC=_XOdzTYQ9EJxa;pF8AnQHe8r3`u{XT?W1-WBP%on^8P)+
zt2NeJw}xE$ak**Ov+AK;TJFf^3t@eB{V{Ead#9U+RZ|v#kHwXhE4miM!?JPkfL@{8
z@3AP;9QUQ;2S%{>VHHm#(RSkfj3u+IIQT?Tch$(9Bq=K@DtwP0k95D=6^9Kg!t7Q}
z$gCvjcPX{gjM^teb<;kprF}k|CNeOaJHNQu-(9bOoL|PM2-#n*udg51&}>Je@74$TcFgn}P(_?{nBTnXPsC9?XTs`vX;bu*o
z>w#-UWZ$I>iAG(5RGHKPA)vjnwE8ahbavtE8y2XDT5tpjS#6ME5B{KORwnR7XCB%C
zS177THfy6(O*Ci&^0Wq&&^4)9UI5ve=l@9#pA1zC>(BaS
zhUUWvSeM4RbLHjb+R(e`7wEco@VtNbZlR*|+_K5jTbBv;h&
z-jNI^RKR8KuX%|d@X-BB!me5ie?MImj&fmL>dU>R(RTak&rAD}_Q39fwB-;MUhWx2
zhe!kYxUhUHAneJpYM;-dm+jL5WrKn>W8o+V<_+=ZBhI|3Cow
z{{;nESurCcZkPl2+E9Kqdt`Cd0|S^QyLTHSyWiuqyt%`FnFN8@D8KP8iF4;C-W(V^
zsPJ_508%JIYJ7G!?|tw0r*MxH5iLFpUu`K3rIFb>j}lK3P=PF;FgSqg&7nb2|{>qKw+?5h5`vKXLIJ|-9NK+_|wqcHJfGiRz
zsVZl$5Y{9V^>+eBPw@{MBQtZ)A+xgeQ?t5}zj?^r_V!jJ=R3t0bdBwENQw;E`Z6j6
z&8N4SWR`xSoKAqqPFPs@huBS|D$H?UYz&Fw#+zpstTJ5-(4xbb-+vBKf>4?TIbY4E
zUl<)OmEQ#^XW-|8t-ezV>__t#=Dv1B$HmcMuANgrV5w&qCq>|}CXd2$CPqfNnPu|9
zu%u1u>hBzEj>1D}9+crQp=R>zC$_MwBK!Enlpoo)B#
zBI&4=lP6D-+D*(v=dAXkL`Bb*B!|kryeZBU{)0lJ(4sDad5?THCMUTol~u_IB+&Vw
zT;pC)zrve2gAI1IL1o^U6;{G9b3@2%k+7hk{KpR;I#7{7{*Z&Idigc{o5WX_02yDr=8uNXim|8XjZy=->><%r
zU4h@9XrJh;U<*1BL(hiKjY}M;@!h`7cOcpchfRcH&aQ~P@G)Wvc^1_3XU|4JuC@b4
zW})s>R6o+CckFd(26;E~7D!b7-rl!Z^;SR!jw0+WVbd!Wg;pPwW7*8e2=zzTV~7m1
z5N?t$R0*l4w~LEJBTAGXIPl_!F77G*0O(dpM;EQ~`JX?taCng$);x5gr$p2Imi?2h
zD+n$f1akx{w2}+Wn~Q6rR-z7%u2na|EQiIYWNJ@)z9wem0KnxJ24k4w|r8I{eQIMAI
zmOONG4)I?bXS~jx8^8ba3^N1IIeYK#TWh`R{nq>Lr%E@Zj~=Euj3CHSS($6f2(p(1
zLH2w;ND6X9Y-Kd<5#*Qw`m-lVEYTc6_tdZy3C
znR2vmXQ8n=I_PND%SVhyo}HaO_ssi24b!i;CHIl+{hVi^8+&fJ`*ym-$lIh7lO$Q9
za&cL=Ua~5yYwy|f+pB%oj6dwXbMEC!|BGvL$2`OBWcCg*j4?D29d!#c1bNoNH=>Cb
zH(rOkja~NRl0uO3ykcQpc&hn}AK~Bp(p2!Lv4gPk&NJ|UNaT4k1i5YhXb*x|y|{!R
z-u1^}Ki&&|M0Dz6#PrF1D+o&q3pZO56jo~Wx0MGx)}j(?gBbj&d87^`Q9eH9g>_Hf=UoFj{sSQ@Ku31!#Lxi_P=Md&DN*WV#%^f{0C
z*VNaqIGDHDeYo`Axc21Mltx)f-vfqpy%H_mqI+uh?&UQ%H!lzQ(of}f=&9t}^yL^;
z{{x%nc$Tcyn6q^KO`cWPo1>@s%^F?{;wBR!d7Wl;7@3*zGx-DCviW@<45h8RvLtD*
z+$)|YCL|`}3&*2VFOdlor?a&_+>t!0dQi2Ys%3wyjYUg>zmVe;gDh@iEK*Hb`OSEY
zm)=|{F+<9aYG`Q6lcq!8t3*04GBh;d)2D0cn%PpKqB|b)5c=>mF8ib_GdEN%hD`
z8=P#aMrQj^g|F^C7HsmwrQc8KyT|?h@Ib0T#pA;V4=O>Bb8i3s;IQQ;UVkSgF~(C1
z;;C+CmgKrJ6~9GX)6cPyt*NO|HZpoA|I3Au(UpOGGYN?YtFwKn3X%Mpx!4&|4p_mX
zLlmuXR}c93_^=2I>*(Sfng({Z*X-~Pm(RFP#Q83J?W}pp-MA6jGO0>jomuI3n+vfl
za$T`-ocQ|N_V%{i_3N!Wn~giF>r^StJI#gTv2gM3VwY^(y&2ZTmgEnHRdRtZ=tNSA
zW^wXo&z?PezqtUayw2MBQn+GY&S1?d;j#?%%&JCnNK<
z&uL)BuJaBQ1r6l%JNw^@rVH77NK~5)9@Kj5ctDJ%IzPPKOG46?Wh`GGb!E-2=(w0Y
z8drBHyuf!!Nf)RM9f&jemVG!!*TrgP#}R*lsij6S4GW7DG=bT*^S%rW4B+Nw`-=EH
zH=Pxtg*CajxLn~Yd^Ww8qeR@)14LGD`M0jEbm+4&GJYo5Zcb-6E`L12X*N*m(SBgy
zG^RLiU~^1>K)`3F=JYu3Y;R3<=cdx|S-gYH)jfXvxGO$AAI(IMovk(3&4nu6Zn2eC
z6|{u=-Io-MO-(JE-^tQkwvFZH=KeM_qdR#I=P>z3V8C4^KzQ*9ltJ7J+AB339r-#%
zlx*q~4Oiw=Z`}&(cOE$^n?)#m|6WOKd;Kk)+cX!SdGj^X#^^S&oejmlyH&Ii0+?ti
zf11&(jJ8w_OW0{b1^ssH;Nb1}`1oBATAdrn9IKC%4{T4@PDJxj9?PLs?EFDaPA(Yg
zZLVymKYg3ie!7#(|BRq=fY^3{p8JBNi;D}3n3#Tv>q>LeTWLPyniIN?ZE9L2uDOqo
zp1xN-p3It2va0pDveE*Or@eT2*}-w9TkY=MyRI9fSV{_tw|tiE6R)J{Zkm`RD66PY
zQc}kE*c2%oIeGD`eWS?uKN{eXn8n1(p3kyeahP}+7#PUwzHaLS>DBqcFhbBi0lj>D
zVj>$iw=xMS+1KZsrAdj=u5xI0k@KkLNe|i$c*S_EhBI9ci)D^>mS}2fa$TwyaGWby
zo2p^UR9%C*>B(I$yj1Q2w=!i2PuI?mc=P65P*9K|6om){C8e>1ghbuKNLBp-diUE5
z;W;_HSR#jJ)+ZV6Y?Jz|vCmair+q67?#=bjH0L?Z^)vDEwtgEM!&$8j{{E0-hTp0a
zz69WSYe_1A&U$!cgw2DDk&!VWDe22aor15uI`-z6ky<@+9^
zx7pmV`cEK{Uj*xw+<9j2AKTl@VmEvUz$XRZw`ixlO?k>G^6I
z?$XlI1j~*LlbT=_CT8ZUcx!xnxB!AZcS}7$|3k-)37jHM6x`Zbn`o+#;f8D47dF;~
z^Y}9?t(EQc8Ev3%f1qGeFHocu>)ZFiMj*ge9bE@j-SV2EAeDL5w
zon>Z;Nxc_(&5}8v%r&TYfZnhQ-(%WK03Qm@&IN_gCRo!cRx1qls!l-pVKXx`A#M&m
z*7+<8
zGLcVtEFLpieT6y>hH_XQ#p>g78z3sFP+=DBY2me-T!xhwI5`!y
z^Q`WMi@}$$Ju}_8LGR>W7zI3e@>QDN;~m_E@!m$i}xI3ur~$JUpqY
zb64hy-`e!yST0|_B`PYqxU$mrTF^fD)vKEsGxY)kX)j;?g1_hBkOL23)D{sLnF<%f
zzqm51BrfjV#=*dFjpP9N#r)FR$sMS=sZed3yW#l;6{J3o9tGnof`fxuMOITTRo-gZ
zzkk10zD<jcy!v^32%{cIC|0C)@9;UtK&
zDX)1mgRaYH$l}7ntAK!j2M-^HL`G^4Eh$rCiQD+EaSwsSr1k9Cvj;bol4>zZcBGa5
z43oIeNe-Q)Z{LhI*4Hlx32A-!@S!~`E$t%uD=TZws3^JbRX|v1XLjNA6cj2pTgFQq
zR`?g^rC&?{0a8^~4%Bm-;e)Pw;n!cqW84>?(z(z7Hab3Dl-m!N!B*)e+#RWGUtEG1
z74&lSsA;#&I8C)y)8uHXs=kBH4LN5nCof<0P5k3%Ef$|qG~4_&?keBi;cK5iefm;W
zCCy{nkT$z4q{f*(sFGY&!`(+^^)|62nmUwn3#~aNfml=MsRqsm-5sp
zOTzMGgs6wB&rGdE80^Gs;W(W_jHqtnjVR@Zq(^zZw%q~lQZNIhr}|9fAD@t50sBE1e$L6!wVj^duYBjuo6w7z!`v4ZKW?X`
zKDM>m8)O<$KjGv&lxWo!2F_Gq
zVAjfPpSA~awGEOtI4UX~FhTQecxEZV0^MznnbQI`X}>)rHDCNz{mkFLO&e1Z51e*N
z(Tfn|=(z#hJoVi>29ecHLr5d_ipNKD?|eSIh4M&c5l>G~9C5a21y%ry6^F!cg>0Z
z#1x=+C|}Xavr2AmR-WlE(dI1M%mREsITMy}3bKJwJ`|+vvveXHs4qrCCp&F
zQUUl>20V%B(O%mwP&QNL_epHpRyLO!@$K3ewYmNhK7)_@LV|-Q&?Q1A&?)WGyRoBT
z0z@)`-#P*qP5dc6=ik`1a=wafFC2p-!C01sD3HxOo4yoy9%Ex;bGT;&kLe5Oa=Erc
z61g^g-4?`d%go8gr)|Fa3-l))pmP?7LmC9S33_5YWPoPXSgjxJ74@|~rx=vvLMLEl
zVVQiB`{?oG6t}fm*U5P732N%(N00Vdcjw63kJa6T(%0$EGjEX!lVd<E>3dXbBTg(X4q`AMeBmpj)9gouKI
z%aDs}VZi0Ed2m|c_8=^C!4W_zP+shMlu#QyDwUU)SJ3O%Rwj+n){sfH{+n1MKZrjiru;;#C#77qY#tp{SL0IT-{0`TY4hWXs{BN7Mar2qMlt
zbP47a{8gp81@%;Ki;IP216wA8D~9H6B@x8wy(wZ-TU)DQYx^FmHC+iolDz)+z$1eP
z$#-#c!^6oVCt(k=q7qebW&v1gaCo@p2)-ov%NLo?pFg(|?(IR6`Ha1+Qg!$FtJ{-!;>zg+8&9R=fuc@nJfc->2
z5_{du>cPj6Kw(`{j;qk@;7J)}O&ea{R8o5B%eEIOc$j_Y`yA%SKL2eEj$^G7tz!NC
z{ZqhocK7QbiLEwJCn%elNp1vb`|Car=JodK099hSa6zW9urQkA05Zr_NfxWMxM;D{
z!L$eAdoF?whF;ICkr^2owG#NxpFh9RWrT=F8T4Fw=_Mo|coi5-+KTl7QlVUoKIwe~
zQDW}oCp$4ZD#JbXl3VuXQ+7-1qOK}(^Pb*u*g094HnkqgJ4#~w;Pht}VUFq+V+0xG
z$~#748-vASA@>XvNRTP!k4W!HDyk$H2)N?N5OKZ*NAjOWQw8h-0va$7diLzuu-zv_
zDS*oaX$uSwpPc*$y2j|g&#r##+2u&YW@&Lz8Awc;IU>GwjmoX*VS$r5ikh{xOAdkvA^l-
z1S!(0_-Ic-{iK5hzhOAH-k`D44`Zc$-q@xe}
zKUZdd`OLF`fP6GvDGU%Bd!Z;HI7=qhB8V!5??2P0%3$xY>MviCR;;C@q@aOjRJLPd
zVlshN$p`Xd`qRqG%W1R)kl586ASq8TA^DJ%lfLwx^A6OAx5e;ob^kf3wAJ?XEVaQ+GW9vM
zDAY7IuKkD#8#{YjfU$q+vfHQ+qAS`cpnx|5K8u$eBqWpp>}`(u_{
z1A@}`M!TuvKm)i>`05{wj#5?k*F#U(waEAE7e8H$2
zQJ3$2{3FXFA-&dR+hL$IppLr;BMaz!V$}eZZPHZlpKi8j2A-i2v@=S_T)Ff$*@MV^
za37*1eVo+l%>_>Bz?;6ovd`qKG|%HNvU4cCYW!mA87yLx(CU9{=aeawbsFW7a{?lcPdo#
z$F>z0pEyB{{~0w!AW>xRzFI9NmIc1c%O7B#JB-F9iP#CPB0TWUjDC>}v4bO!g=KX&
zOa2_3{{WxA?W7KLrlr-Dj`U>AUvAu9Q22Avu9B5oGk%t=arU~;z*0D1wwnznAY43*
zpSy|uI2lZNZ1318K2cAx)cjAZ9UC1@fAUEEXG}uZ6msI!
zWI3)(Hc)H1_<8Md5^)hpfXnN$A4Ii9uLe4dDmd8+-a(QQ|5`EsZn-0^5(V|O9f|^C
z1k*o2W00Sd6T>GrHSw=oY%cquw13k{wwbc;Ky7U#mI7&&c6Y6?j{hu4a9F4feD^71
z>kxpa;-A_4AM^^e=n8M!Mq&dpZQLgq|9M*sJ)ccaJ=%Fvp8iQ;2J@N&@6h(=Nd=x5
zDCE@mb)UEEGet~6dQO2%%thzl0$Zmev>|-|KR3l~j|J>@h;tA=y?#-Pd-d#U7Ll)B
zEl_Bv=)qJQ1_>4(MTpYCFQoH9HDXbW)p5Wt+6j3iBvIY@oDanj1S<|3E+_wNrEj)A
z@EsE^PQ!Ws$2Y}iWTj}8nOImq7^k;|{u69Lv?rZq=8C~MZkJfskr8t}AmY)|OH!W2D?{-abfJye5dE3St*fyk9
z_s>{OG*U3?5}-eObHFr~fzMBVmw6~2Cxy&;lT8>8)|cJ=OU(Zv
zE1?xcR`f`xV@_M{R-owbL;M(e{aosGw(lh5`$JDtL$R4BX9ds)GWb+7d>N9=+viPq
z0+=3hf^zENxRjibli(ftT{QTI{^((Vr`toubvr);hY4A|B|QH0>sX<){(^5Fb9O{ojUpv@ofJm2^5b~cUr|mW(NHF(*ffr
z{jq_`yXTBvKQ60^_D4?kmwMuuM!EiV&-}Pph3(}6ztQ)KgIt-te-F|tftFFj$%(mu
zqc2t0c2QgC|C$*tY;p2lKXMYIFXl+M>VI10_SC(BBj01>9!2t#TnqiWt|O3$v#9pah3+>uX@?*-cj}ON
ziZ4IYyY~DevD?tQ`7Z1@gfjR_y*Q(Z?;$61uox&M+q=iRR*DL-Q2LJ)4p0T_e+k*#
z_fxb&E_uVz<`1p-%x-A(o>{kiPb`$=_H^j?(R+4%hl@;5zkjI9<<_5lHna%y?C6iq
z3o2xa3q5i`bewVffa?EODg{|UJfrsvH)Zi7AoOBhecT3*zXwEr{HH4L?s;}(X=V1&
zwyTqb*KU;npH^b`F}>mPf4!3h)j;zP;$GFL?-3pG2PNo$qreY=d@ye~d%xC7D=qrN
zDylvBXCQh_{T8!cX#YVfHvN8_qW&l^CHsRU<&ENh=h*x9#?nE=#7HDv1Oxqq-d$H#
zy;G~zW3&3RIP(3}{0r%zs9~_jbnNam{%eaj
zr6~6x_kDew>qpLtdhVfFAGZ6sGQT?tD)!lGFLX(y@5CHnkj)q7R}uBx{tnd8w@l?6
z7w1L)h%BP24X2ZI49|D=m|LnlI1boXZoQG1%^=8Y_w9?;z`fhCD#TUeUk-ZHh*Keh
zdH)4*#E$~7B;^fC-8~#2zX->Q-cQLs-^Uk9?AyN|75?)q5Eg)<7T&rktGwo`KZKq=(GDQ0l0skFYrKo)e?t{GE{d0Y&Sc!n_wW)D+dtItkNXjl
zRN}eL#Ql))oxhZY9&80GM(@}NebSZ0%ryt<_gtRr$CIdc4@qMHBnbBD{pah2XHga?
z=|fo4j}ByTEZUKDA=(Mv*(~O=Juaq!)?9GtROcz}H1omn7wG5DkwLd#Y%P~0R~$@~
zphCQbUQ|%5Cj%>ueK9h>&(i`TlEhq)vDcFo{;yopflcif^EwF?a3HLV#;olnBlG0UiyHka
zh8XO>16(7{M~_TLyi-BA)u
z@xtSOP*70*@=L5`MxhkF$MP%Y+GGm!U=0Jv6wq<(z?uLPSKZLlhNwdZ=Et`{`bYgF
zIUol#p1>QZBwTMohuk0t@L9CV1NosX
ziXoBQ#?Q`>`&I_fW9r|QHG~VhWWles0~;M3i7_=W51)gQkwGOs(8I3!l6M!{C+7C5
zc#MG&1}rZA^kRC7Vq0LB>5d0+|K=89r3J{Su$pqzOOWAUl#6fl+P3$pZ2@}>$jKA%
zTXr61AR{b{3LWJO3JT`xB#)y*;$x!gvFK15=Jg=F-GZU%O_*o3!J{X_7%@V~G36du
z9>60r0s37NNXO~Ns0qn;dh#(HX`0!n+XTC@+~Eb|YptpmwAtIM(_Mz_Z)0?#gk6-u
z&=3UU&VH{Q575H#piip9pf`=54$m`kwnNt`st_~_-LYJ&u4dtdPZV@1Nwcqv)YEPm
z^l`AW^ML|~j$hl0A3WGgaq^_e_9C{-IrbxN6z0cLfn7P~L0pfwals%DMSu|@$TQ{I
zjTXAO#^wyVJz~(jA$S0W^+
z8v%6XHke&wH(>cqRrFrdPXniX9v(P0wZ1UIu{8!JC^`|>uNa}VRGq*RbaWg~w^Odm
z%05LUC78*9JIcp1<HhV{Mk!W~pBj^H+y
zD>R1aIL`KJ9y!I)8o_4?x|9`MR|oY^sjHvdQoWBU-H-ynP6TzRYqujzzQ&Yoslz_Bz$SBKIFYynLQaZG;tkh@&!-q=LHWoWFDrCiAM(w$80MTAbO!xM9
zLzK|n;YS&TV>F=qqM~agzjZS{vy6kDo<3D^B6AURoz^^SZQ9GW-W_WD?-&}krKquC
zU8<|A+sj=PSHq=0ddI}XpchEjEowL3?#{Jr%eB-{3|8f2U}9orVycWEXowa;{ZCz4
z1Abhn!70am!!BLFOb-V69JP~~&v`17-oJn8i4#XvLeoY%5UP3zc*qabQv+tLR1m0^
zH5kFi6!Pj-TxaJkJq^kU&~6J`Vo=2eOdj%!^QP^JLc$B@ARVpTJv{0`qrdLzilY|u
zEIxGjFgIu+i>k7Y5>Opoxt3V;=arG3%P3{GWe11-`n-Xm9~bO5pMima3Fu!Sj);r_
z0P%w=&UEEUPen*aDM(S}k9>T>VZs|>SoK2F3l4JXrwRDi%rWlGR{h0YXM~-&_Jw0Y~bMrbtO}fg*X)DkY
zrIZWHAl*(IHbl7wMnqWLxpT)4Dq^y~q^K*~G{E%v>dR*Y*}!lx8lk9WI^Fr9-Hjb&
z{^jYemcx5@AJTv-wyc4g-zw~>zds-9Q~}r@10%yF5Y=)4uScP-YI4k5Dxu*-LVia;
zLo2+vrW&(AQHipWGKHUqkpFI^^5-lr7KQzOk2PII?9I36Jg)~+R??r|Lklx&)QE|%
zbM?kOy5uc10w{+A^T>%)r*L?1b+_
z6~P(?&dPb6`?+RNa?rWppG6p;gPfBAYOToj`iRiI>0AC73~IHi$9SrYt}cx?Y5**!
zl+eYB&QB;(k&K@Pbql8TXi@TE`gI1pc1lpY0BQ$niEn%21&yCZ)P2`zbrhV8;Fg%2
zoJ1WQ@Mxi6QraL8aNr~(uCej*s&;jC5tgClfjlc{KZZUQ_)Dz)+o&li)e_rDT3N(4
z_6OW&z3j61?v)Xwh;!3DRH=pL<9}BuDgpjGcK-m~C1_dgi%<;VAPHt$w6WT^scD3l
zmy7clefb51PHG-7IH1`8O>fmBhllSh6%A}PpcR5%0w9UUqV)og^Ze~pROrNjZfKHAed)IM
z2B3Y~=z(K&Aoc|^%3lZn6Pl~xSDb7@+CAd328PgWsNDojEGRhG2);MQ?KRt5m|$ER
zS_vLNK-q9=9+O+O8D-n9JkZIotIRiEUjog|1Smjdn0?~{WNF&yDSXQ_&+`m?e7PT2
z&WO5qlF{&f*|&c`T5votv$hAvgry7E3(W^gOEe2?Pvk+9|-4{0BHDPytWHv6%_?Q>t$kLsXlS?r1~vlFpJ7{RaMn^F`+;#))Yk+$UWWJ
zQ&g#h0=JbZV<0*<_hx&|1A~GT!0FO9hKlrujvV2EX2S=Wx@$9o+jH!^$8zXeKs}qF
z)+ZDWd29#8TLAM_l$G!JZD6QmWMnQut?>-FFZpi(D5m7h9#K0>S7r+;fGbp?
zi2Lc&r!a67rZkuCu{dpjI97u8pa5{F00QD9m^)p-Nm>sEpLi{ufQP4jCJWOs
z?iE=Au;SM;>9E1n2fDgFn8G#lM@B~KL2I7Mngx$cxaSr@Gr#c|2^1C=M44m99U73r
z?c1?{dkQ|e(Sr7s%X0$*GTf*o0FuT83~?MoiPPHO;#EiQHimIkT$7g8&NnnPtZz+L
zN$-JFLJRrSmaoU~r$gtf4_`7i7=#^gG#_ukah@ba8RGeBtDd}iD#PpGUaWf~`CO-4
zcxQ7d0b-^eg(f&^)LaA(9rl!hSu3BDjO0{Gl48Zjk2SehyhKp1-oolCzx0bUA42CK
z-DJ2?TNc+?ul#r|2IY1>fYk7B9A`-3CS09r#LEAvt!pcmK1~^z$p{eiz
zilo*9rED#7!k}JNNE6gvmz9-;I)HKkkx;sl)&qV`F#jrnNL^b@!F;2@stg`<)W+1v
zNc9#T=p;b7J_|VDe*gVD}?WRh5-m0Sh3SLk@)18ZLu}A2d*%yd}5-SbQbxBLy_TdkqH{Mp;<%
zU2~`HtrXmBt-0S=y~B*MfJ3d2
z{JeKQJ(0`586sK|?B_=Y#@Flh5q#NWpn}Q)y4$+UfOFyk1H&hr$F@C5>wbU+7Vy(e
z^%doN?hps?V0~y0<1!46h+vf!a$kQ>Sewh_x9&FU$}&bzEhcqgXD54q&Eq~rZUTZQ
zWdq25B}O9TzHdKnfX5d%7Gas=wq}DZ1JGB7GC!p|PN|_2rw?9#)Qhw-nHa+=BBBe1
zkK`N=N4osNI{gduVC;d2pi~xYLJH7Mf*8OC-5#&2r1aG|ea$Xp>%4-D%=_p>U;stS
zE2xzn{IgnX)LeHSg>vYoK#u~1k%7Od@16_1)QHQ_VTm|a@Y7BM+Lp?qvH3Rh&TUu$4?-;Ta^?^C;a1WI1O_cA0wccSgL<6@8C9dWY
z2~FKjD5~9Xd1*-n&I|I95zf6pv%n+e=;8+#MK{Rt3LBd|H8r*CSh#6xwy7fef&#o+
z!Iw2#`wC=UsJLWcA<&MM!D$)6YyJlKdV-EVcBb&%$3*CUpo5`}y$N#ja%?+@!8xf6alH01o%OpyHB1
zopz+h=+eZX?SiW>8T^TFz{h4e{OKub@+%}>2Z{ph5%oNP=NNr`p=6tYXJuto2AQ2P
z>c{~!D?!_C%Q060yHacC2pu%ygd0&QV7a>h{U8A
zI$VdJGFuq+ow5gzp*(To0yDGp6{lHMEv*O`W9I_%POXQXUHNi80A90Dg;u5l6BP7#
z8^o+Q)g(22cL>j=WaY<2l;n5_#0)Td)8;LDw4>yf=
zsie6HZ30~k$~j@6fbt2Gp^rWs55Ka~EUPue7DJX5k=dZV5`0as3&AD|sLcz=GfG-L
z`9S4J0PPhMI6@kqJAd9EScG|hapA^FrkC{%uze00>Xdnwpf)9QFao1)CivbM@M%7D
z!XYmPe&$c$A}$|om2je4gZD=2HZTiN7ChjNLoHmpG|FSS$u4mRJ=`!bGoJ<)+5*S@
z?7JgU;Be*lw(ZE!<>*PN!ErilPrAYE{?VgHVX#Ay0MO_uA;fYA5GazIR)|VWOblMb
zxY|m1__S`&A@XMF6U_G^jmpP(2_9GUwhX3?3fk^@#4DA|V{>Ph9f2HTWJ0v%%1$1. Why do we learn statistics?", "2. A brief introduction to research design", "3. Getting Started with Python", "4. More Python Concepts", "5. Descriptive statistics", "6. Drawing Graphs", "7. Data Wrangling", "8. Basic Programming", "9. Statistical theory", "10. Introduction to Probability", "11. Estimating unknown quantities from a sample", "12. Hypothesis Testing", "13. Categorical data analysis", "14. Comparing Two Means", "15. Comparing several means (one-way ANOVA)", "16. Linear regression", "17. Factorial ANOVA", "18. Bayesian Statistics", "19. Epilogue", "20. References", "Learning Statistics with Python"], "terms": {"thou": 0, "shalt": 0, "answer": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "questionnair": [0, 1, 4, 9], "Or": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "quizz": [0, 12], "upon": [0, 1, 5, 10, 11, 14, 17], "world": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "affair": [0, 1, 10], "nor": [0, 1, 9, 11, 16, 17], "complianc": 0, "take": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "ani": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "test": [0, 4, 6, 8, 9, 10, 19], "sit": [0, 1, 3, 4, 6, 7, 9, 10, 11], "With": [0, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "statistician": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "commit": [0, 14, 20], "w": [0, 3, 7, 8, 13, 14, 15, 16, 19], "h": [0, 3, 9, 12, 14, 15, 17, 19], "auden": 0, "1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "To": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "surpris": [0, 1, 2, 3, 4, 5, 9, 11, 12, 13, 14, 15, 16, 17], "mani": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "student": [0, 1, 2, 3, 4, 10, 11, 12, 15, 16, 17, 19, 20], "fairli": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "signific": [0, 12, 13, 14, 16, 17, 19], "part": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "educ": [0, 1, 2, 10, 11, 15, 19], "one": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 17, 19], "veri": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "rare": [0, 1, 3, 4, 10, 11, 13, 16], "favourit": [0, 1, 13], "after": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "all": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16], "you": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15, 16], "realli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "love": [0, 1, 2, 3, 4, 5, 9, 11, 15, 20], "idea": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "d": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 19], "probabl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15, 16, 19, 20], "enrol": [0, 1, 9, 10], "class": [0, 1, 2, 3, 4, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "right": [0, 1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "now": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "so": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "surprisingli": [0, 1, 2, 4, 10, 11, 12, 13, 14, 15, 16, 17], "pretti": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "larg": [0, 1, 4, 5, 6, 9, 11, 12, 13, 14, 15, 16, 17], "proport": [0, 1, 4, 9, 11, 12, 14, 15, 16, 17, 19], "base": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "isn": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "t": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15, 16, 19, 20], "happi": [0, 5, 9, 11, 12, 13, 14, 17], "about": [0, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "fact": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "ha": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "much": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 20], "In": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "view": [0, 1, 5, 6, 10, 13, 14, 15, 16, 17], "thi": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20], "i": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20], "thought": [0, 2, 3, 4, 6, 9, 10, 11, 12, 13, 17], "place": [0, 1, 2, 3, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17], "start": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "might": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "some": [0, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 19], "common": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 17], "question": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "peopl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "have": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20], "stat": [0, 1, 2, 4, 9, 10, 11, 13, 14, 15, 16, 17, 20], "A": [0, 2, 8, 9, 19], "big": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "issu": [0, 1, 3, 4, 5, 6, 8, 10, 12, 15, 16], "hand": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "relat": [0, 1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "what": [0, 1, 2, 5, 6, 7, 8, 10, 11, 12, 14, 15, 20], "And": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "ar": [0, 1, 2, 3, 5, 6, 7, 8, 11, 12, 13, 14, 15, 17, 19], "scientist": [0, 1, 3, 4, 10, 11, 12, 13, 17], "bloodi": [0, 1, 10, 13, 14, 17], "obsess": [0, 11], "These": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "good": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19], "when": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "think": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "let": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "last": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "As": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "group": [0, 1, 3, 4, 6, 10, 11, 12, 13, 14, 16, 17], "seem": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bizarr": [0, 1], "fixat": 0, "run": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 17], "everyth": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "us": [0, 1, 5, 6, 8, 10, 11, 12, 14, 15, 16, 19, 20], "often": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sometim": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "forget": [0, 1, 2, 3, 4, 5, 6, 9, 17], "explain": [0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "It": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "kind": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 17, 20], "articl": [0, 1, 4, 9, 12], "faith": [0, 1, 2, 4, 12, 16, 17], "among": [0, 1, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "especi": [0, 1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15], "social": [0, 1, 2, 6, 10], "your": [0, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "find": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "trust": [0, 1, 3, 6, 7, 9, 13, 14, 15], "until": [0, 2, 3, 5, 6, 7, 9, 10, 13, 14, 15, 17], "ve": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "done": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "undergradu": [0, 1, 9, 10, 15, 17], "forgiven": [0, 16], "re": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "complet": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 16, 17, 19], "mad": [0, 1, 4, 11, 15], "becaus": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "time": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "simpl": [0, 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 19], "don": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "just": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "sens": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "naiv": [0, 1, 17], "wai": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 20], "most": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20], "lot": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "2": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 16, 17, 19], "my": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "monei": [0, 2, 10, 11, 14, 15], "best": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "ourselv": [0, 1, 3, 4, 5, 7, 9, 10, 11, 13, 14, 15, 16, 17], "enough": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "worri": [0, 1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "human": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 19], "suscept": 0, "bias": [0, 8, 10, 11, 13], "temptat": [0, 11, 17], "frailti": [0, 17], "suffer": [0, 11, 14], "from": [0, 1, 2, 4, 5, 7, 8, 9, 11, 12, 15, 16, 17, 19, 20], "basic": [0, 1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "safeguard": 0, "evalu": [0, 2, 4, 15], "evid": [0, 1, 5, 8, 10, 11, 12, 13, 14, 15, 16, 17, 19], "mean": [0, 2, 3, 5, 7, 8, 11, 12, 15, 16, 19], "gut": [0, 5, 11], "instinct": [0, 10, 15], "reli": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "verbal": [0, 1], "argument": [0, 1, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "raw": [0, 1, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "power": [0, 1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "reason": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "come": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "up": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16], "approach": [0, 1, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20], "like": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "work": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 20], "sound": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 14, 15, 17], "me": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sinc": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "depart": [0, 13], "dig": [0, 1, 3, 5, 9, 13, 15, 16], "littl": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "deeper": [0, 1, 3, 11, 14], "here": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "Is": [0, 1, 3, 4, 5, 6, 8, 13, 16], "plausibl": [0, 8, 9, 10, 13, 17], "trustworthi": [0, 1, 4, 12, 13, 15], "construct": [0, 4, 6, 9, 10, 11, 14, 15, 16], "languag": [0, 2, 3, 4, 5, 7, 9, 11, 12, 13, 14, 17], "thing": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "harder": [0, 1, 2, 13, 14, 15], "sai": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "other": [0, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16], "necessarili": [0, 1, 4, 6, 7, 8, 9, 11, 13, 14, 15, 16], "thei": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "fals": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "e": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "g": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "quantum": 0, "electrodynam": 0, "theori": [0, 4, 6, 10, 11, 12, 13, 14, 15, 16, 19], "hard": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "word": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "our": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17], "aren": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "design": [0, 3, 5, 9, 10, 11, 12, 13, 14, 15, 17, 19], "solv": [0, 1, 2, 3, 4, 5, 6, 7, 11, 12, 13, 14, 15, 17], "scientif": [0, 1, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "problem": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20], "handl": [0, 1, 2, 5, 6, 7, 10, 12, 13, 14, 15, 16, 17], "dai": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "infer": [0, 4, 8, 9, 10, 14, 15, 16, 17], "given": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "biolog": [0, 10, 19], "evolut": 0, "slower": [0, 20], "cultur": 0, "chang": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "should": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "differ": [0, 1, 2, 3, 5, 6, 8, 10, 14, 15, 17, 19], "live": [0, 1, 2, 4, 10, 11, 12, 13, 17], "fundament": [0, 1, 4, 9, 11, 13, 14, 15, 16, 17], "sensibl": [0, 1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "requir": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "engag": [0, 1, 7], "induct": [0, 8, 10, 11], "make": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "wise": [0, 12, 14, 15, 17], "guess": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "go": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "beyond": [0, 1, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "immedi": [0, 3, 4, 7, 10, 14, 16], "generalis": [0, 1, 4, 10, 15, 16], "If": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "without": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 17], "being": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "influenc": [0, 1, 2, 4, 6, 11, 14, 15, 16], "variou": [0, 2, 3, 7, 11, 15, 16, 17], "distractor": 0, "well": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bridg": 0, "brooklyn": 0, "sell": [0, 2], "heck": [0, 4, 13], "next": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "section": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "show": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "even": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "deduct": [0, 8], "ones": [0, 1, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "where": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "pre": [0, 1, 17], "exist": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "mostli": [0, 1, 3, 4, 5, 7, 9, 13, 14], "smart": [0, 1, 2, 7, 13], "certainli": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 16], "smarter": [0, 1], "speci": [0, 3, 12, 17], "share": [0, 1, 5, 6, 7, 9, 10], "planet": [0, 12], "though": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "disagre": [0, 1, 6, 11, 19], "mind": [0, 1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "quit": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "amaz": [0, 8, 9, 12], "capabl": 0, "incred": [0, 1, 5, 13, 15, 17], "feat": [0, 1], "That": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "doesn": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "perfect": [0, 1, 4, 5, 10, 11, 12, 13, 14, 15], "psychologist": [0, 1, 8, 9, 10, 11, 13, 14, 17], "shown": [0, 1, 2, 4, 7, 9, 10, 11, 13, 14, 15, 16, 17], "over": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "year": [0, 1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17], "neutral": [0, 11], "imparti": [0, 1], "swai": 0, "exampl": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17], "effect": [0, 2, 3, 4, 5, 6, 7, 9, 10, 15, 17, 19], "logic": [0, 1, 4, 6, 7, 11, 15, 16, 17, 19], "ask": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "decid": [0, 2, 3, 5, 9, 10, 11, 13, 14, 15, 17], "whether": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "particular": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "valid": [0, 14, 15, 16, 17], "conclus": [0, 1, 8, 10, 13, 14, 16, 17], "would": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "true": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "premis": 0, "were": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tend": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 17], "believ": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15], "shouldn": [0, 1, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16], "For": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "instanc": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "No": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15, 17], "cigarett": [0, 1], "inexpens": 0, "addict": 0, "therefor": [0, 1, 2, 3, 5, 8, 10, 11, 12, 13, 14, 15, 16, 17], "structur": [0, 1, 3, 5, 6, 7, 11, 12, 13, 14, 16], "ident": [0, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "both": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "howev": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "second": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "incorrect": [0, 4, 9, 10, 17], "result": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 19], "case": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19], "also": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "But": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "entir": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "irrelev": [0, 5, 9, 14, 15, 16], "topic": [0, 1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "an": [0, 1, 2, 3, 6, 7, 8, 9, 10, 11, 12, 13, 17, 19, 20], "consequ": [0, 1, 2, 4, 5, 8, 10, 11, 12, 13, 14, 16, 17], "involv": [0, 1, 2, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "statement": [0, 1, 2, 3, 4, 9, 10, 11, 14, 16, 17], "invalid": [0, 1, 6], "final": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unbeliev": 0, "suppos": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "perfectli": [0, 1, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "abl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "set": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17], "asid": [0, 1, 2, 3, 10, 11, 12], "pure": [0, 1, 4, 7, 9, 10, 11, 12, 13, 14], "its": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "merit": [0, 1, 13], "expect": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "100": [0, 1, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15], "0": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "ran": [0, 10, 11, 12, 13, 14, 15, 16, 17], "experi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "look": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "see": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "data": [0, 1, 2, 7, 8, 9, 10, 19], "feel": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "approxim": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "safe": [0, 1, 2, 3, 5, 11, 13, 14, 16], "okai": [0, 1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bother": [0, 4, 7, 11, 12, 13, 14, 15, 17], "murki": 0, "stuff": [0, 1, 2, 3, 4, 7, 10, 11, 12, 14], "gui": [0, 13], "taken": [0, 2, 3, 4, 6, 7, 9, 11, 12, 14, 15, 16, 17], "psych": [0, 1, 13], "know": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "classic": [0, 1, 4, 5, 16, 17, 19], "studi": [0, 2, 4, 5, 6, 10, 12, 13, 14, 15, 16, 17, 19], "evan": [0, 9, 19], "et": [0, 1, 6, 9, 19], "al": [0, 1, 9, 19], "1983": [0, 19], "exactli": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "found": [0, 1, 3, 9, 10, 11, 12, 14, 15, 16, 17], "agreement": [0, 6, 15], "went": [0, 1, 4, 5, 7, 14, 15], "hope": [0, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "92": [0, 4, 5, 10, 12, 15, 16], "8": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "Not": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "happen": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "intuit": [0, 1, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "truth": [0, 1, 2, 4, 8, 9, 10, 14, 15, 17], "against": [0, 4, 5, 6, 8, 12, 13, 14, 15, 16, 17], "46": [0, 4, 19], "oh": [0, 7, 8, 9, 12, 13, 14, 15], "dear": [0, 14], "appar": [0, 1, 5, 12, 13, 16], "present": [0, 1, 2, 4, 5, 10, 15, 16, 17], "strong": [0, 1, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15, 17], "contradict": 0, "perceiv": [0, 7], "onli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "did": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "wors": [0, 1, 3, 4, 11, 13, 15, 17], "weak": [0, 2, 4, 5, 11, 12, 13, 15, 17], "agre": [0, 1, 4, 6, 8, 9, 11, 12, 17], "almost": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "got": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "wrong": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "3": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "horribl": [0, 1, 5, 17], "damn": [0, 15], "overal": [0, 5, 10, 11, 13, 14, 15, 16], "better": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 20], "chanc": [0, 1, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "compens": 0, "prior": 0, "60": [0, 4, 5, 6, 9, 11, 12, 13, 14, 15, 16, 19], "judgement": 0, "correct": [0, 1, 2, 4, 7, 8, 9, 10, 11, 13, 15, 16, 17], "50": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 16, 17, 19], "profession": [0, 1], "someon": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16], "came": [0, 4, 5, 6, 8, 9, 10, 11, 12, 14], "along": [0, 2, 4, 5, 7, 11, 13, 14, 15, 16, 20], "offer": [0, 2, 4, 9, 10, 11, 12, 16], "magic": [0, 1, 3, 4, 7, 10, 11, 12, 13, 14, 15, 17], "tool": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "improv": [0, 1, 4, 13, 14, 15, 16], "decis": [0, 5, 6, 9, 12, 17], "95": [0, 4, 9, 10, 12, 13, 14, 15, 17], "jump": [0, 3, 4, 6, 12, 13, 17], "Of": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cours": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "thankfulli": 0, "actual": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "too": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "easi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "want": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "instead": [0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "need": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "bit": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "help": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "keep": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "person": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "under": [0, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "control": [0, 1, 5, 6, 11, 13, 14, 15, 16, 17, 19], "doe": [0, 1, 2, 4, 5, 6, 7, 8, 11, 12, 13, 14, 15, 17], "honest": [0, 1, 3, 4, 5, 9, 11, 12, 13, 17], "follow": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "stori": [0, 1, 2, 4, 6, 9, 10, 11, 12, 13, 14, 16, 17], "1973": [0, 1, 4, 12, 19], "univers": [0, 1, 9, 10, 12, 13, 14, 19], "california": [0, 17], "berkelei": 0, "had": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "admiss": [0, 19], "postgradu": [0, 13], "specif": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "caus": [0, 1, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "wa": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gender": [0, 1, 6, 16], "breakdown": [0, 9, 10], "which": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "number": [0, 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 19], "applic": [0, 2, 5, 9, 10, 11], "percent": [0, 12, 17], "admit": [0, 7, 8, 11, 13, 14], "male": [0, 1, 6, 10, 11], "8442": 0, "44": [0, 12, 13, 17], "femal": [0, 1, 6, 10, 11], "4321": 0, "35": [0, 1, 4, 5, 12, 13, 14, 15, 19], "su": 0, "4": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "nearli": [0, 6, 7, 10, 14, 16], "13": [0, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "000": [0, 4, 10, 11, 13, 15, 16], "9": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "rate": [0, 1, 4, 11, 12, 13, 14, 15, 16, 17], "between": [0, 1, 4, 5, 6, 7, 8, 9, 10, 12, 13, 17, 19], "coincid": [0, 4, 11], "compel": [0, 15, 17], "reflect": [0, 1, 4, 6, 9, 10, 11, 13, 14, 16, 17], "favour": [0, 2, 4, 8, 11, 12, 17], "women": 0, "sort": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "either": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "crazi": [0, 9], "sexist": 0, "oddli": [0, 3, 12], "carefulli": [0, 1, 4, 12, 13, 14, 15, 16], "told": [0, 3, 4, 5, 7, 8, 9, 11, 12, 14, 17], "rather": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bickel": [0, 19], "1975": [0, 6, 19], "basi": [0, 1, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "turn": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "out": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "slightli": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "higher": [0, 1, 4, 11, 13], "success": [0, 4, 9, 11], "fig": [0, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "figur": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20], "six": [0, 4, 7, 8, 9, 14], "largest": [0, 1, 4, 5, 10, 14, 15], "name": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "remov": [0, 4, 5, 6, 9, 10, 11, 13, 15, 16], "privaci": 0, "myst_nb": [0, 11, 12, 13, 14, 15, 16], "import": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glue": [0, 2, 4, 9, 11, 12, 13, 14, 15, 16], "panda": [0, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "pd": [0, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "b": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "c": [0, 3, 4, 5, 7, 8, 9, 10, 12, 13, 15, 16, 19], "f": [0, 3, 9, 10, 12, 13, 19, 20], "825": [0, 15], "560": [0, 15], "325": 0, "417": [0, 16], "191": 0, "272": 0, "62": [0, 4, 11, 13], "63": [0, 4, 9, 13, 15], "37": [0, 4, 6, 9], "33": [0, 1, 4, 5, 6, 11, 13], "28": [0, 4, 5, 12, 15, 19], "6": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "108": [0, 5, 10], "25": [0, 2, 4, 5, 6, 10, 11, 12, 13, 14, 15, 17], "593": [0, 6, 15], "375": 0, "393": 0, "341": 0, "82": [0, 3, 4, 5, 15], "68": [0, 4, 5, 9, 10, 13, 15], "34": [0, 3, 6, 7, 9, 10, 15, 19], "24": [0, 1, 3, 4, 5, 6, 9, 10, 13, 14, 15], "7": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "df": [0, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "datafram": [0, 4, 5, 9, 10, 12, 13, 14, 15, 16], "berklei": 0, "tabl": [0, 1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 19], "displai": [0, 1, 4, 5, 9, 10, 13, 14, 15, 16], "5": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "remark": [0, 3, 8, 9, 10, 12, 17], "yet": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "across": [0, 1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "lower": [0, 3, 4, 7, 10, 11, 13, 14, 15, 17], "how": [0, 1, 2, 4, 5, 6, 7, 8, 11, 13, 15, 16, 17, 20], "same": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "firstli": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15, 16], "notic": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "equal": [0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "anoth": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "term": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "percentag": [0, 4, 9, 19], "engin": [0, 1, 4], "chemistri": 0, "high": [0, 1, 2, 4, 5, 9, 10, 11, 13, 15], "qualifi": [0, 5], "wherea": [0, 1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "english": [0, 7, 9, 11, 12, 14, 16], "reject": [0, 4, 8, 11, 12, 13, 14, 15, 17, 19], "candid": [0, 5, 17], "qualiti": [0, 5, 12, 15], "abov": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gener": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 16, 17, 19], "order": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "appli": [0, 1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "rank": [0, 4, 14, 19], "total": [0, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "get": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 20], "bold": [0, 1, 4, 10, 17], "whole": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "compar": [0, 4, 7, 9, 10, 11, 12, 17], "distribut": [0, 2, 4, 5, 6, 13, 14, 15, 16, 17, 19, 20], "themselv": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 15, 17], "produc": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "suggest": [0, 1, 2, 3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 17], "below": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "trend": [0, 16], "systemat": [0, 1, 4, 10, 12, 13, 16], "strike": 0, "known": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "real": [0, 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "first": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "encount": [0, 1, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15], "refus": [0, 9, 17], "while": [0, 1, 2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15, 16, 17], "subtl": [0, 1, 2, 3, 4, 5, 9, 15], "lesson": [0, 4, 17], "buri": [0, 4, 14], "point": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "counterintuit": [0, 9, 11, 12, 14], "trap": [0, 1, 2], "ly": [0, 4, 12, 14, 17], "wait": [0, 4, 5, 12, 14, 15, 17], "unwari": [0, 11], "teach": [0, 1, 3, 7, 13, 15, 17, 20], "scienc": [0, 1, 2, 10, 11, 17, 19], "cunningli": 0, "hidden": [0, 1, 10, 11, 12, 15, 16], "nook": 0, "cranni": 0, "complic": [0, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16], "os": [0, 3], "pathlib": 0, "path": [0, 9], "cwd": 0, "getcwd": 0, "chdir": 0, "str": [0, 3, 4, 7, 10], "parent": [0, 1, 4, 13], "df_berk": 0, "read_csv": [0, 3, 4, 5, 6, 12, 13, 14, 15, 16, 17], "berkeley2": 0, "csv": [0, 4, 5, 6, 7, 12, 13, 14, 15, 16, 17], "seaborn": [0, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "sn": [0, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "plot": [0, 4, 6, 7, 9, 11, 14, 15, 16], "berk": 0, "berkelyplot": 0, "lmplot": 0, "x": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "y": [0, 1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 15, 16], "hue": [0, 9, 10, 16], "size": [0, 1, 3, 6, 9, 10, 15, 17, 19], "xlabel": [0, 4, 5, 9, 10, 11, 12, 13, 15], "pecentag": 0, "ylabel": [0, 4, 5, 9, 10, 11, 12, 13, 15], "befor": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "leav": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16], "someth": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "els": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "critic": [0, 1, 3, 6, 8, 9, 10, 12, 13, 15], "overlook": [0, 14], "rememb": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "concern": [0, 1, 2, 3, 4, 6, 10, 11, 12, 14, 15, 16, 17], "process": [0, 1, 2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "unfairli": 0, "aggreg": [0, 1, 14], "discrimin": [0, 8, 11, 13], "disaggreg": [0, 1], "individu": [0, 1, 2, 4, 7, 9, 13, 14, 16], "behaviour": [0, 1, 2, 4, 5, 10, 12, 13, 14, 17], "anyth": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "self": [0, 2, 6, 10], "select": [0, 4, 5, 6, 10, 12, 14], "legal": [0, 11], "perspect": [0, 1, 2, 3, 4, 7, 9, 10, 11, 14, 15, 17], "put": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 20], "clear": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "determin": [0, 1, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "level": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "less": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unbias": [0, 4, 10], "small": [0, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "consist": [0, 1, 3, 4, 5, 6, 8, 10, 11, 13, 14, 17, 19], "dictat": 0, "choos": [0, 1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 17], "hardli": [0, 11, 15, 17], "held": 0, "account": [0, 1, 10, 11, 12, 13, 14, 15, 16, 17], "those": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "choic": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15, 16, 17], "somewhat": [0, 1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glib": [0, 12], "earlier": [0, 1, 2, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "interest": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sociolog": 0, "revers": [0, 1, 3, 11, 13, 15], "still": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "everi": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "singl": [0, 2, 5, 6, 7, 9, 10, 11, 13, 14, 16, 17], "itself": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "hypothet": [0, 4, 9, 16], "prefer": [0, 1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "further": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 15, 17], "low": [0, 1, 4, 5, 10, 11, 12, 13, 15], "govern": [0, 1, 9, 16], "fund": 0, "ph": [0, 1], "ti": [0, 2, 3, 13, 14, 15], "project": [0, 1, 6, 10, 12, 15, 17], "constitut": [0, 5, 16], "unenlighten": 0, "valu": [0, 1, 2, 5, 6, 7, 9, 10, 12, 14, 16, 19], "cut": [0, 4, 5, 9, 12, 14, 15, 17], "felt": [0, 3, 13], "useless": [0, 4, 5, 10, 13, 15], "chick": 0, "blatantli": 0, "none": [0, 1, 4, 5, 7, 8, 10, 12, 13, 14, 17], "fall": [0, 1, 4, 5, 9, 10, 11, 12, 13, 15, 16, 17], "within": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "purview": 0, "matter": [0, 1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 15, 16, 17], "short": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16], "huge": [0, 4, 5, 10, 13, 14, 15, 20], "impact": [0, 7, 9], "analys": [0, 1, 2, 4, 5, 6, 7, 9, 11, 12, 14, 15, 16, 17], "interpret": [0, 1, 2, 5, 6, 7, 9, 11, 12, 13, 14, 19], "alwai": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "end": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "substitut": [0, 13, 16, 17], "care": [0, 1, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "discuss": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "focus": [0, 1, 2, 4, 8, 9, 10, 12, 13, 17], "m": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20], "role": [0, 2, 3, 10, 17], "plai": [0, 1, 3, 4, 5, 8, 9, 10, 14], "devot": [0, 3, 6, 9], "lectur": [0, 1, 2, 4, 10, 13], "attempt": [0, 1, 2, 4, 5, 7, 9, 10, 11, 13, 14, 15, 17], "few": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "them": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glorious": 0, "messi": [0, 2, 4, 6, 11, 12], "infuriatingli": 0, "pervers": 0, "physic": [0, 1, 3, 9, 19], "includ": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "object": [0, 4, 6, 9, 10, 11, 15, 17], "electron": 0, "complex": [0, 3, 4, 6, 7, 10, 15, 17], "aris": [0, 1, 4, 6, 9, 10, 13, 14, 16], "own": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17], "opinion": [0, 1, 3, 5, 6, 9, 10, 11, 12, 14, 17], "each": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "weird": [0, 1, 4, 5, 8, 9, 11, 12, 15], "arbitrari": [0, 1, 4, 9, 13], "bore": [0, 1, 4, 5, 6, 11, 14, 15], "middl": [0, 1, 3, 4, 5, 6, 9, 13, 15, 16, 17], "angri": 0, "experiment": [0, 9, 10, 11, 12, 13, 14, 16, 17, 19], "deliber": [0, 1, 10, 11, 12, 16], "try": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sabotag": 0, "ever": [0, 1, 2, 3, 7, 8, 9, 11, 14, 15, 16, 17], "At": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "physicist": [0, 1], "luxuri": 0, "pathet": 0, "comparison": [0, 4, 7, 12, 13, 15, 17, 19], "vast": [0, 1, 4, 5, 9, 11, 12, 13], "mess": [0, 2, 3, 5, 11], "confront": [0, 1], "desper": [0, 11, 15, 17], "reliant": [0, 6], "bad": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "pick": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 15, 17], "extent": [0, 1, 2, 4, 5, 6, 13, 14, 15, 16], "becom": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "fulli": [0, 16], "train": [0, 1, 9, 12, 17], "reach": [0, 10, 17], "certain": [0, 2, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16], "compet": 0, "three": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "ought": [0, 1, 2, 3, 5, 7, 10, 12, 14, 15], "deepli": [0, 1, 4, 5, 9], "intertwin": [0, 1], "least": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "understand": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "secondli": [0, 1, 5, 6, 8, 9, 10, 13, 14, 15, 16], "side": [0, 4, 5, 7, 8, 9, 10, 12, 14, 15, 16, 17], "literatur": [0, 4, 8, 9, 11, 12, 14, 17], "paper": [0, 1, 2, 5, 7, 9, 10, 11, 12, 14, 15, 17], "report": [0, 1, 4, 5, 9, 10, 13, 14, 15, 16, 17], "amount": [0, 1, 3, 4, 5, 10, 11, 12, 13, 15, 17], "thirdli": [0, 5, 15], "practic": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 17, 19], "depend": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "analysi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 19], "expens": [0, 2, 4, 10, 13, 17], "australian": [0, 1, 4, 5, 9, 10, 12, 13], "charg": 0, "fee": [0, 2], "ll": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "nation": [0, 4, 10, 19], "prioriti": [0, 2], "categori": [0, 1, 4, 9, 10, 11, 12, 17], "area": [0, 1, 5, 9, 11, 13], "massiv": [0, 2, 4, 5, 12, 13], "shortag": 0, "law": [0, 1, 9, 11, 17], "suppli": [0, 5, 10, 12], "demand": [0, 10, 15], "situat": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cruel": 0, "afford": [0, 4, 9], "econom": [0, 10], "suffici": [0, 1, 2, 4, 10, 11, 12, 13, 14, 15, 16], "note": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "stai": [0, 5, 6, 7, 9], "top": [0, 1, 3, 4, 5, 6, 9, 10, 12, 13, 15, 16, 20], "field": [0, 1, 2, 4, 8, 9, 11, 12, 15, 17], "read": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "heavili": [0, 1, 5, 10, 13, 14, 15, 16], "job": [0, 4, 5, 6, 9, 11, 12, 15, 17, 20], "clinic": [0, 1, 4, 10, 14, 16, 17], "everyon": [0, 1, 2, 4, 9, 10, 11, 12, 13, 15, 17], "21st": 0, "centuri": [0, 9, 11, 12, 14, 17], "everywher": [0, 7, 9, 12, 13], "frankli": [0, 4, 5], "knowledg": [0, 1, 4, 5, 9, 10, 12, 13, 15, 17], "close": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "surviv": 0, "drown": 0, "inform": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 17], "starv": 0, "author": [0, 1, 3, 5, 6, 12, 13, 14, 15, 16, 17], "origin": [0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "john": [0, 5, 9, 10, 19], "naisbitt": 0, "write": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16], "took": [0, 1, 4, 6, 7, 13, 15, 17], "20": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "recent": [0, 3, 4, 5, 7, 8, 9], "new": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "post": [0, 1, 15], "abc": [0, 4, 17], "websit": [0, 4, 10], "call": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "made": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mistak": [0, 1, 4, 5, 7, 9, 12, 14, 17], "error": [0, 1, 2, 3, 4, 5, 10, 12, 13, 14, 15, 16, 17, 19], "curiou": [0, 1, 4, 6, 13, 16], "fail": [0, 1, 11, 13, 15, 17], "baselin": 0, "mention": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15], "characterist": [0, 1, 4, 6, 9, 10, 11], "journalist": [0, 4], "biggest": [0, 1, 4, 11, 13, 14, 15, 17], "newspap": [0, 1, 9], "internet": [0, 1, 3, 5, 11, 15], "far": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "frequent": [0, 4, 12], "hous": [0, 3, 4, 7, 10, 13, 15], "price": [0, 2, 4], "australia": [0, 4, 10, 11, 17], "later": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "version": [0, 1, 2, 4, 5, 6, 7, 11, 12, 13, 14, 15, 20], "book": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "anecdot": 0, "line": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 17, 20], "talk": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "fair": [0, 3, 4, 5, 8, 9, 11, 12, 13, 14, 15, 17], "wouldn": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "methodolog": [0, 1, 10, 11, 12, 19], "broader": [0, 1, 5, 10, 13, 15, 16], "concept": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16], "cover": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "pragmat": [0, 1, 6, 9, 17], "99": [0, 4, 9, 10, 11, 13, 15], "fear": [0, 7, 12, 15], "hopefulli": [0, 3, 4, 7, 12, 14, 16], "convinc": [0, 1, 9, 10, 11, 12, 15], "importantli": [0, 9, 10, 11, 15], "said": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "typic": [0, 1, 3, 4, 9, 10, 12, 13, 14, 15], "introductori": [0, 3, 9, 10, 11, 12, 13, 15, 17], "heavi": [0, 13, 15], "usual": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "evil": [0, 1], "contrari": [0, 8, 17], "focu": [0, 1, 3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16], "yourself": [0, 1, 2, 3, 4, 5, 6, 7, 9, 12, 13, 14, 15, 16, 17], "assign": [0, 1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 17], "greater": [0, 1, 11, 13, 14, 15, 17], "ground": [0, 1, 3, 4, 5, 9, 11, 14], "collect": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 14, 15, 17], "allow": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "urgent": 0, "stress": [0, 4, 5, 10, 17], "spend": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 17], "provid": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "core": [0, 2, 3, 4, 6, 14], "type": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15], "principl": [0, 1, 3, 11, 12, 13, 14, 15, 16, 19], "idiosyncrat": [0, 1], "detail": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17], "quot": [0, 4, 5, 6, 7, 8, 10, 11, 12, 17], "1946": [0, 1, 12, 19], "poem": 0, "lyre": 0, "reactionari": 0, "tract": [0, 19], "deliv": 0, "commenc": 0, "address": [0, 1, 3, 4, 10, 11, 12, 14], "harvard": [0, 19], "histori": [0, 4, 7, 9, 11, 13, 17, 19], "http": [0, 1, 3, 4, 5, 6, 8, 10, 12, 13, 14, 15, 16, 17], "harvardmagazin": 0, "com": [0, 3, 4, 5, 6, 8, 12, 13, 14, 15, 16, 17], "2007": 0, "11": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "poet": 0, "warn": [0, 1, 3, 12, 17], "html": [0, 8, 10], "cynic": [0, 16], "moment": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "alon": [0, 13, 17], "incorrectli": [0, 11, 12, 14, 15], "nice": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "commentari": [0, 9], "www": [0, 4, 8, 10, 17], "refsmmat": 0, "2016": 0, "05": [0, 4, 11, 12, 13, 14, 15, 17], "08": [0, 4, 14, 15, 16, 17], "thank": [0, 7, 9, 20], "wilfri": 0, "van": 0, "hirtum": 0, "teensi": 0, "advanc": [0, 1, 2, 7, 9, 11, 13], "consult": [1, 3, 11], "finish": [1, 3, 4, 5, 7, 10, 11, 12, 14, 17], "mere": [1, 4, 8, 10, 14], "him": [1, 8, 14], "conduct": [1, 9, 10, 11, 12, 13, 14], "mortem": 1, "examin": [1, 4, 12, 15, 16], "he": [1, 2, 3, 4, 8, 10, 11, 12, 13, 17], "perhap": [1, 3, 4, 5, 6, 9, 10, 11, 13, 14, 15, 16, 17], "di": 1, "sir": [1, 9, 11, 12, 13, 14, 17], "ronald": [1, 9, 11, 12, 13, 14, 17], "fisher": [1, 4, 9, 13, 14, 17, 19], "chapter": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "we": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "check": [1, 4, 6, 7, 8, 9, 11, 12, 17], "won": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20], "give": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "more": [1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "than": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "overview": [1, 13, 17], "special": [1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "two": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 17, 20], "s": [1, 2, 3, 5, 6, 7, 8, 10, 11, 15, 16, 17, 19, 20], "statist": [1, 2, 3, 5, 6, 7, 13, 15, 16, 19], "nevertheless": [1, 4, 5, 9, 10, 11, 12, 13, 15, 17], "tradit": [1, 4, 13, 14, 15], "textbook": [1, 2, 4, 9, 11, 12, 14, 16, 17], "campbel": [1, 19], "stanlei": [1, 19], "1963": [1, 19], "steven": [1, 19], "precis": [1, 2, 3, 4, 9, 10, 11, 13, 14, 15, 16, 17], "citat": 1, "do": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 20], "down": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "label": [1, 2, 4, 6, 9, 10, 12, 14, 15, 16, 17], "descript": [1, 2, 5, 9, 10, 11, 12, 13, 14, 17], "count": [1, 2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "ag": [1, 6, 7, 10], "anchovi": 1, "chromosom": 1, "identifi": [1, 2, 7, 11, 12, 13, 15], "list": [1, 2, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "italicis": 1, "expand": [1, 4, 5, 11, 13, 14, 15, 17], "possibl": [1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "could": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "arisen": [1, 19], "been": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "etc": [1, 3, 4, 6, 10, 12, 14, 15, 16], "upper": [1, 3, 4, 7, 10, 11, 13, 15, 16, 19], "bound": [1, 10, 15], "fuzzi": 1, "150": [1, 4, 12, 17], "long": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15], "xy": [1, 3, 4, 11, 12, 14], "xx": 1, "klinfelt": 1, "syndrom": 1, "xxy": 1, "similar": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "imagin": [1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mai": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "neither": [1, 4, 11, 14, 15, 16], "explicitli": [1, 4, 10, 11, 12, 14, 15, 16, 17], "myself": [1, 2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 17], "transgend": [1, 10], "obviou": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tricki": [1, 4, 6, 9, 11, 12], "assum": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "development": 1, "crude": [1, 10, 17], "month": [1, 3, 7, 14], "child": [1, 4, 6], "written": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "newborn": 1, "birth": 1, "mayb": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16], "hour": [1, 4, 5, 7, 15, 16], "specifi": [1, 4, 5, 6, 9, 10, 11, 13, 15], "realis": [1, 2, 5, 7, 8, 11, 12, 13, 14], "implicitli": [1, 14], "length": [1, 4, 6, 7, 10, 14, 15], "babi": [1, 4, 12, 15], "ey": [1, 3, 5, 6, 10], "movement": 1, "kid": [1, 4, 15, 17], "young": [1, 6, 17], "meaning": [1, 4, 5, 6, 9, 11, 13, 14, 17], "alic": 1, "born": [1, 10, 12], "week": [1, 3, 4, 5, 7], "prematur": 1, "bianca": 1, "late": [1, 7], "ye": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "convent": [1, 3, 4, 5, 6, 10, 11, 12, 17], "refer": [1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "everydai": [1, 4, 7, 8, 9, 10, 11, 14], "life": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "oper": [1, 2, 3, 4, 7, 10, 16], "independ": [1, 9, 10, 11, 14, 15, 16], "entiti": [1, 9, 10, 15], "biologi": 1, "beings": [1, 9, 10, 17], "organ": [1, 3, 5, 10], "grow": [1, 9, 10], "deal": [1, 2, 3, 4, 5, 10, 12, 13, 14, 15, 17], "adult": [1, 6], "move": [1, 3, 4, 6, 9, 11, 13, 14, 15], "method": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "old": [1, 2, 3, 4, 6, 7, 9, 10, 11, 14, 15], "fast": [1, 3, 12, 15, 17], "cheap": 1, "lie": [1, 3, 4, 5, 7, 9, 10, 13, 15], "around": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sure": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "obstetrician": 1, "offici": [1, 17], "record": [1, 4, 6, 7, 8, 10, 12, 13, 16, 17], "certif": 1, "consum": 1, "annoi": [1, 2, 4, 5, 6, 7, 11, 13, 14, 17], "dead": [1, 10], "previou": [1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "vagu": [1, 10, 11, 12, 17], "sever": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17, 19], "Being": [1, 12], "context": [1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17], "Will": 1, "phrase": [1, 4, 7, 10, 11, 12, 13, 15], "numer": [1, 3, 4, 10, 13], "option": [1, 3, 5, 6, 7, 10, 12, 13, 15, 17], "open": [1, 2, 3, 10, 12, 14, 15, 20], "busi": [1, 2, 3, 4, 5, 12, 15, 17], "formal": [1, 11, 13, 15, 16], "commun": [1, 4, 12, 17], "who": [1, 2, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "establish": [1, 11, 12], "through": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 20], "aspect": [1, 4, 13], "terminolog": [1, 2, 9, 10, 11, 12, 14, 15, 16, 17], "introduc": [1, 2, 3, 4, 5, 6, 10, 11, 12, 14, 15, 16, 17], "four": [1, 2, 4, 6, 7, 9, 10, 11, 12, 15, 16, 17], "theoret": [1, 8, 10, 11, 12, 13, 14, 15, 19], "directli": [1, 2, 4, 5, 6, 7, 11, 12, 14, 16], "observ": [1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "survei": [1, 2, 4, 9, 10, 12, 17], "brain": [1, 11, 14], "scan": [1, 15], "connect": [1, 3, 9, 14], "deriv": [1, 4, 9, 12, 14, 15], "blur": 1, "distinct": [1, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "indic": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "qualit": [1, 4, 9, 11, 13, 14, 15, 16], "distinguish": [1, 4, 6, 10, 14, 16], "categor": [1, 6, 9, 13, 17, 19], "relationship": [1, 5, 6, 9, 10, 11, 12, 13, 16, 17], "bigger": [1, 4, 7, 9, 10, 11, 12, 13, 14, 15, 17], "absolut": [1, 2, 3, 6, 11, 13, 14, 15, 17], "averag": [1, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "colour": [1, 10, 11, 16], "blue": [1, 3, 5, 9, 10, 12, 13, 15], "green": [1, 3], "brown": [1, 14, 19], "similarli": [1, 4, 9, 11, 12, 13, 14, 15, 16, 17], "closer": [1, 2, 4, 10, 11, 13, 14, 15], "commut": 1, "One": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 19], "transport": 1, "bu": [1, 9], "car": 1, "bicycl": 1, "todai": [1, 7, 9, 11, 15, 17], "12": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "30": [1, 2, 4, 5, 6, 9, 11, 12, 13, 15, 16, 17], "48": [1, 10, 13, 14, 15, 16, 17, 19], "10": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "obvious": [1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "silli": [1, 2, 5, 7, 10, 11, 12, 13, 15, 17], "travel": [1, 4], "popular": [1, 4, 5, 7, 12, 15, 16], "bike": 1, "chosen": [1, 2, 3, 4, 5, 10, 11, 12, 13, 15, 17], "noth": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "natur": [1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "posit": [1, 2, 4, 6, 7, 10, 11, 12, 15, 16, 17], "race": 1, "faster": [1, 2, 14], "1st": [1, 2, 8], "2nd": [1, 6, 19], "3rd": [1, 6, 19], "larger": [1, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "attitud": 1, "climat": [1, 17], "match": [1, 4, 7, 9, 13, 14], "belief": [1, 8, 9, 10, 11, 19], "temperatur": [1, 9], "rise": [1, 4, 9, 11, 12, 13, 15, 16], "activ": [1, 6], "why": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "current": [1, 2, 3, 4, 6, 10, 12, 13, 14, 15, 17], "opposit": [1, 5, 11, 12, 13], "endors": [1, 9, 15], "item": [1, 4, 7, 12], "violat": [1, 6, 12, 13, 14, 15, 16], "51": [1, 6, 11, 12, 13, 17], "19": [1, 4, 6, 7, 9, 13, 14, 15, 16, 19], "togeth": [1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 15, 16], "81": [1, 4, 10, 12, 15], "willing": [1, 8, 9, 11, 12, 13, 14, 17], "partial": [1, 4, 5, 13, 14, 16], "49": [1, 13, 14, 17], "regist": [1, 6], "disagr": [1, 11, 15], "domin": [1, 5, 9, 11, 17], "90": [1, 3, 4, 6, 10, 12, 13, 15, 19], "There": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "97": [1, 4, 10, 11, 15], "tell": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gibberish": [1, 4, 11, 12], "contrast": [1, 4, 5, 9, 10, 11, 13, 14, 15, 17], "genuin": [1, 2, 4, 5, 6, 9, 11, 12, 13, 15, 16], "zero": [1, 3, 4, 5, 6, 7, 9, 12, 13, 15, 17], "degre": [1, 5, 9, 10, 11, 12, 13, 14, 15, 17], "celsiu": 1, "15": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "circ": 1, "yesterdai": 1, "18": [1, 3, 4, 5, 6, 7, 9, 13, 14, 15, 16, 17], "moreov": [1, 10, 11, 16], "addit": [1, 2, 3, 4, 12, 13, 15], "subtract": [1, 3, 6, 12, 14, 16], "water": [1, 5], "freez": 1, "pointless": [1, 17], "multipli": [1, 3, 4, 9, 10, 12, 13, 14, 15, 16, 17], "divid": [1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "twice": [1, 10, 12, 14], "hot": [1, 9, 14, 17], "meaningless": [1, 4, 6, 9, 11, 14, 15, 16, 17], "claim": [1, 7, 9, 10, 11, 12, 13, 14, 15, 17], "neg": [1, 3, 4, 6, 9, 12, 15], "again": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "2003": 1, "arriv": [1, 9, 10, 11, 16, 17], "2008": 1, "insan": [1, 10, 15], "0024": 1, "fourth": [1, 3, 4, 6, 8, 9, 14, 15], "consid": [1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "rt": [1, 6, 13], "task": [1, 2, 4, 5, 6, 7, 9, 10, 12], "somebodi": 1, "difficult": [1, 2, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16], "alan": 1, "respond": [1, 6, 11, 12], "ben": [1, 14], "longer": [1, 2, 3, 4, 5, 6, 7, 8, 11, 13, 15, 17], "multipl": [1, 2, 3, 4, 9, 10, 11, 12, 13, 16, 19], "divis": [1, 2, 7, 10], "awar": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14], "regard": [1, 11, 14], "definit": [1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "abstract": [1, 2, 3, 4, 10, 11, 12, 14, 16], "onc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "cameron": 1, "david": [1, 8, 17], "031": 1, "hi": [1, 3, 4, 8, 9, 10, 11, 13, 15, 17], "imposs": [1, 7, 8, 9, 10, 11, 14, 15], "occur": [1, 3, 4, 6, 9, 11, 13, 16, 17], "rule": [1, 2, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16], "strict": [1, 2, 17], "mathemat": [1, 2, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "although": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "saw": [1, 3, 4, 5, 6, 8, 9, 12, 13, 14, 15, 16, 17], "school": [1, 2, 3, 4, 10, 11, 15, 16], "2002": [1, 4, 12, 19], "summaris": [1, 4, 7, 9, 10, 11, 12, 15], "cell": [1, 2, 3, 4, 6, 7, 12, 14, 16, 17], "tick": [1, 5, 13], "mark": [1, 3, 5, 6, 10, 13], "correspond": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "hammer": 1, "home": [1, 3, 4, 5, 6, 10, 17], "unfortun": [1, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 17], "checkmark": [1, 13, 14], "shock": [1, 4, 13], "hear": [1, 4, 12, 13, 15], "messier": [1, 13, 17], "classif": [1, 6], "scheme": [1, 4, 10, 14], "neat": [1, 6, 12, 15], "treat": [1, 3, 4, 6, 11, 12, 13, 15, 16, 17], "guidelin": [1, 12, 15], "intend": [1, 2, 4, 5, 9, 10, 12, 13, 14, 17], "likert": [1, 6, 9], "humbl": [1, 3, 5, 14], "bread": [1, 15, 17], "butter": [1, 17], "fill": [1, 4, 9, 13, 14, 15, 17], "hundr": [1, 7, 13, 14], "thousand": [1, 2, 3, 9, 11, 14], "odd": [1, 3, 4, 6, 7, 11, 12, 13, 14, 15, 17], "describ": [1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "pirat": 1, "freak": [1, 4], "awesom": [1, 5, 6, 9, 13, 17], "particip": [1, 2, 5, 6, 10, 11, 12, 13, 14, 16], "strongli": [1, 2, 6, 14, 15, 17], "clearli": [1, 2, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16], "descriptor": 1, "necessari": [1, 2, 8, 9, 13, 14, 15], "handi": [1, 2, 3, 5, 7, 9, 10, 11, 12, 13, 15, 16], "limit": [1, 2, 3, 4, 9, 12, 13, 15, 16, 17], "prove": [1, 10, 11, 12, 14], "On": [1, 3, 4, 5, 6, 7, 9, 10, 11, 13, 15, 16, 17, 19], "serious": [1, 2, 5, 9, 13], "act": [1, 2, 10, 12, 13], "five": [1, 3, 4, 5, 9, 10, 13, 14], "quasi": [1, 19], "therebi": [1, 4, 15], "creat": [1, 2, 3, 4, 5, 7, 9, 10, 12, 13, 14, 15, 16, 20], "seen": [1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 14, 15, 16, 17], "simpli": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 17], "accur": [1, 2, 4, 10, 14], "weight": [1, 12, 13, 14, 15, 16], "bathroom": 1, "step": [1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 15], "off": [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20], "intellig": [1, 2, 4, 9, 10, 11], "mum": 1, "unreli": 1, "she": [1, 2, 10, 11, 13], "thick": 1, "moron": 1, "hold": [1, 5, 7, 9, 10, 12, 14, 16], "sack": 1, "potato": 1, "highli": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 15, 17], "technic": [1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "estim": [1, 4, 5, 8, 11, 12, 14, 16, 19], "bright": [1, 11], "her": [1, 4, 6, 9, 11, 13], "fluctuat": [1, 9], "wildli": [1, 9], "purpos": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "ensur": [1, 4, 9, 11, 13, 14, 17], "retest": 1, "date": [1, 2, 4, 11, 15, 16], "inter": 1, "rater": 1, "parallel": [1, 10, 16], "form": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "equival": [1, 2, 4, 6, 9, 11, 12, 13, 14, 15, 17], "perform": [1, 2, 5, 6, 7, 11, 13, 14, 15, 16], "function": [1, 2, 3, 4, 5, 9, 10, 12, 13, 14, 16, 17, 20], "ad": [1, 3, 4, 5, 7, 9, 11, 12, 13, 15, 16, 17], "possess": [1, 3, 10], "subject": [1, 4, 6, 9, 10, 13, 14, 16], "comput": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cognit": [1, 10, 14, 19], "compon": 1, "exam": [1, 4, 11], "plu": [1, 3, 6, 9, 14, 15, 16], "piec": [1, 2, 3, 4, 5, 7, 9, 10, 11, 13, 17], "awai": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15], "normal": [1, 3, 4, 5, 6, 7, 10, 12, 19], "Then": [1, 3, 4, 5, 6, 7, 10, 12, 13, 14, 15, 16], "symbol": [1, 2, 3, 4, 5, 6, 10, 12, 15, 16], "denot": [1, 2, 4, 9, 10, 11, 12, 13, 14, 15, 16], "x_1": [1, 4, 9, 13], "x_2": [1, 4, 9, 13], "iv": [1, 8, 15], "dv": [1, 14, 15, 16], "behind": [1, 2, 3, 4, 5, 7, 11, 12, 13, 15, 16], "goe": [1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "properli": [1, 5, 9, 11, 12, 14, 15, 17, 20], "mislead": [1, 4, 5, 10, 11, 14], "never": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "aw": [1, 17], "altern": [1, 2, 10, 13, 14, 15, 16, 17, 19], "appeal": [1, 5, 11, 17], "modern": [1, 11, 14, 15], "exercis": [1, 5, 7, 10, 12, 13, 14, 15, 17], "event": [1, 4, 9, 10, 11, 13, 16, 17], "kei": [1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17], "featur": [1, 2, 5, 15], "dure": [1, 2, 3, 4, 5, 6, 7, 16], "manipul": [1, 3, 6], "vari": [1, 3, 4, 9, 11, 12, 13, 15, 16], "causal": [1, 5, 11, 15], "kept": [1, 8, 9, 11, 14], "constant": [1, 4, 9, 13, 15], "balanc": [1, 4, 14, 17], "standard": [1, 2, 3, 5, 6, 9, 11, 12, 14, 15, 19], "solut": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 15, 16], "randomis": [1, 11], "randomli": [1, 4, 9, 10, 12, 13, 14], "treatment": [1, 11, 14], "minimis": [1, 11, 13, 15], "elimin": [1, 5, 8, 11, 17], "unrealist": [1, 4], "grossli": [1, 15, 17], "uneth": [1, 10, 12], "smoke": 1, "lung": 1, "cancer": 1, "smoker": [1, 10], "proper": [1, 4, 6, 7, 8, 10, 11, 12, 15, 17], "poor": [1, 4, 11, 12, 13, 15], "diet": 1, "asbesto": 1, "mine": [1, 4, 5, 8, 9, 13], "whatev": [1, 2, 3, 4, 6, 7, 11, 12], "incid": [1, 5], "per": [1, 2, 5, 9, 13, 16], "se": [1, 9, 10, 13, 15], "meantim": [1, 14], "recal": [1, 4, 6, 10, 13, 14, 15, 16], "ethic": 1, "forc": [1, 2, 4, 5, 7, 10, 11, 12, 13, 17], "half": [1, 3, 4, 5, 6, 8, 9, 10, 11, 13, 15, 17], "unlik": [1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 17], "respect": [1, 3, 4, 5, 8, 9, 10, 11, 13, 14, 15, 16], "confid": [1, 5, 9, 11, 13, 14, 15, 17], "murder": [1, 16], "broad": [1, 5, 6, 9, 13, 14, 15], "illustr": [1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17], "obtain": [1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "crimin": [1, 11], "must": [1, 2, 3, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sampl": [1, 4, 5, 8, 9, 14, 15, 16, 19, 20], "solid": [1, 4, 9, 13, 14, 15, 16, 17], "investig": [1, 4, 14], "didn": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "artifactu": 1, "worth": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "aim": [1, 8, 9, 14, 15], "draw": [1, 4, 8, 9, 10, 12, 13, 14, 15, 16, 17], "isol": [1, 7], "neuropsycholog": 1, "damag": 1, "advantag": [1, 3, 4, 9, 10, 11, 15, 17], "abil": [1, 3, 7, 10, 11, 16], "invest": 1, "effort": [1, 3, 4, 6, 9, 11, 13, 14], "factor": [1, 3, 5, 6, 11, 13, 14, 15, 19], "valuabl": 1, "complement": [1, 4], "orient": [1, 5], "conceptu": [1, 2, 9, 10, 12, 14, 15, 16], "state": [1, 2, 3, 9, 10, 11, 12, 13, 14, 15, 17], "honesti": [1, 4], "notion": [1, 4, 5, 9, 14, 15], "rais": [1, 2, 4, 10, 14, 15, 17], "relev": [1, 3, 4, 9, 10, 11, 12, 14, 15, 16, 17], "quick": [1, 3, 4, 5, 11, 12, 13, 15], "guid": [1, 4, 10, 11, 13, 15, 17, 19], "tie": [1, 3, 14], "terribl": [1, 4, 9, 11, 13, 14, 15, 16], "except": [1, 2, 3, 4, 7, 8, 10, 11, 12, 13, 15, 17], "insofar": [1, 10, 12, 16], "appear": [1, 2, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "insid": [1, 2, 3, 4, 5, 6, 7, 10, 11, 13, 14, 15], "1000": [1, 4, 9, 10, 17], "essai": [1, 19], "spell": 1, "grammat": 1, "third": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 17], "fewer": [1, 3, 5, 11, 12, 16], "conclud": [1, 9, 13, 14, 17], "skill": [1, 2, 3, 7, 8, 10, 14], "older": [1, 6], "superior": [1, 12, 17], "failur": [1, 17], "teas": 1, "apart": [1, 4, 12], "pattern": [1, 4, 6, 11, 12, 15, 16], "environ": [1, 2, 3, 7, 10, 11, 12], "drawn": [1, 5, 9, 10, 12, 13, 15], "subgroup": 1, "lack": [1, 5], "carri": [1, 17], "risk": 1, "populac": [1, 12], "threaten": 1, "popul": [1, 4, 9, 11, 13, 14, 15, 16, 19], "narrow": [1, 5, 6, 9, 10, 11], "phenomenon": [1, 10, 16], "concret": [1, 2, 4, 10, 11, 12, 14, 15, 16], "extrem": [1, 2, 4, 5, 7, 9, 12, 14, 15, 17, 20], "public": [1, 5, 9, 10, 17, 19], "toward": [1, 4, 9, 13, 14], "psychotherapi": 1, "visual": [1, 3, 4, 5, 7, 10, 13, 15], "illus": 1, "spent": [1, 3, 4, 7, 9], "coupl": [1, 4, 6, 10, 14, 16, 17], "paragraph": [1, 4], "pose": [1, 14], "manner": 1, "lab": [1, 10], "learn": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "ridicul": [1, 13], "cheat": [1, 17], "stand": [1, 3, 4, 9, 13, 14, 16, 17], "theatr": 1, "300": [1, 5, 7], "cheater": 1, "deep": [1, 2, 3, 7, 9, 11, 12, 14], "stupid": [1, 2, 4, 5, 9, 10, 11, 12, 13], "pretend": [1, 4, 5, 9, 12, 13, 14, 16, 17], "gone": [1, 3, 13, 14, 20], "serv": [1, 3, 4, 7, 13, 15, 17], "experienc": [1, 14, 16], "hunch": 1, "evidentiari": [1, 10, 11], "pai": [1, 2, 4, 9, 11, 14, 16, 17], "attent": [1, 4, 5, 9, 10, 11, 14, 16, 17], "verbalis": 1, "criticis": [1, 10], "awri": 1, "uninform": 1, "crap": 1, "inspect": [1, 4, 5, 9, 10, 13, 14, 15], "gentli": 1, "substanti": [1, 4, 12, 13, 15], "untrain": 1, "polici": 1, "maker": 1, "proxi": 1, "politician": 1, "ignor": [1, 2, 3, 4, 6, 7, 9, 11, 13, 14, 15, 16, 17], "unfair": [1, 14], "scenario": [1, 4, 6, 9, 12, 13, 16, 17], "rigour": 1, "guarante": [1, 4, 10, 11, 13, 14, 15, 17], "easier": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 17], "eyewit": 1, "identif": [1, 19], "arrai": [1, 4, 6, 11, 12, 13, 14, 15, 17], "suspect": [1, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16], "shorter": [1, 10, 14], "crime": [1, 11], "wit": 1, "scare": [1, 5, 17], "polic": 1, "offic": [1, 15], "pressur": [1, 13], "fashion": [1, 2, 3, 4, 5, 10, 11, 14, 15, 16, 17], "unmeasur": [1, 15], "uncontrol": 1, "scope": [1, 4, 5, 9, 10, 12, 13, 14, 15], "vulner": [1, 4], "prevent": [1, 7, 9, 11], "swing": 1, "roundabout": 1, "shoe": [1, 10], "firmli": [1, 4, 5, 15], "foot": 1, "naturalist": 1, "By": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "lose": [1, 4, 5, 6, 8, 9, 15, 17], "wild": [1, 7], "reduc": [1, 5, 11, 13, 14, 15, 16], "bring": [1, 3, 13, 15, 17], "gain": [1, 9, 12, 14, 15, 16], "accident": [1, 9, 13], "Be": [1, 12, 14, 17], "rough": [1, 4, 12, 13, 15], "ahead": [1, 4, 10, 11, 12, 14], "unavoid": [1, 8], "ref": [1, 11, 13], "differentialattrit": 1, "characteris": [1, 6, 14], "23": [1, 3, 4, 9, 10, 13, 19], "uncertainti": [1, 5, 10, 13, 15], "decemb": 1, "2010": [1, 4, 5, 9, 11, 19], "februari": 1, "2011": [1, 5, 9, 11, 19], "queensland": 1, "flood": [1, 16], "januari": [1, 7, 17], "billion": 1, "dollar": [1, 2, 4, 9, 15], "kill": [1, 3, 5, 12, 13], "express": [1, 4, 5, 6, 10, 15, 16, 17], "temporarili": 1, "anti": [1, 14], "anxieti": [1, 13, 14, 16], "drug": [1, 2, 4, 6, 13, 14, 16], "administ": [1, 4, 6, 10, 12, 14, 16], "physiolog": [1, 16], "afterward": [1, 11, 12, 17], "lo": 1, "angel": 1, "earthquak": 1, "increas": [1, 4, 5, 9, 10, 13, 14, 15, 16], "tire": [1, 4], "children": 1, "rapidli": [1, 7], "trick": [1, 2, 3, 6, 7, 9, 12, 13, 15], "vocabulari": 1, "begin": [1, 2, 3, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "declin": 1, "regardless": [1, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16], "uncommon": [1, 4, 6, 12, 13], "rel": [1, 2, 3, 4, 6, 9, 10, 13, 14, 15, 16, 17], "style": [1, 4, 5, 7, 10, 11, 12, 15], "session": 1, "familiar": [1, 2, 3, 4, 7, 12, 13, 14, 15, 16], "nervou": 1, "calm": 1, "auxiliari": 1, "mood": [1, 4, 14, 15, 16], "lead": [1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "despit": [1, 8, 11, 12, 14], "imbal": 1, "80": [1, 4, 6, 9, 10, 11, 12, 13, 15, 17, 19], "troubl": [1, 3, 4, 14], "danger": [1, 2, 10, 11, 14, 15, 17], "manag": [1, 2, 3, 9, 12], "repres": [1, 3, 5, 6, 7, 9, 10, 12, 15, 16, 17], "dan": [1, 4, 5, 9, 14, 15, 17], "tediou": [1, 2, 4, 7, 12, 13, 14, 15, 16], "drop": [1, 4, 11, 13, 15, 16, 17], "stop": [1, 2, 4, 5, 6, 7, 9, 13, 14, 16, 17], "moral": [1, 5, 12, 17], "oblig": [1, 12], "remind": [1, 5, 7, 12, 15, 16], "random": [1, 4, 5, 7, 9, 11, 12, 13, 15, 16, 19, 20], "remain": [1, 4, 5, 6, 8, 9, 11, 14, 15, 16, 17], "conscienti": 1, "toler": [1, 11, 12], "boredom": 1, "decreas": [1, 4, 10, 13, 15], "homogen": [1, 12, 13], "condit": [1, 6, 11, 13, 14, 17], "gave": [1, 2, 4, 6, 12, 13, 14, 15, 16, 17], "easili": [1, 4, 5, 6, 7, 10, 12, 13, 15, 16], "main": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 17], "unrepres": 1, "heterogen": 1, "dumb": [1, 2, 4, 17], "insult": [1, 10], "obedi": [1, 2], "anyon": [1, 3, 4, 7, 10, 11, 12, 14, 16, 17], "chitchat": 1, "dubiou": [1, 17], "co": [1, 5, 10, 13], "disobedi": 1, "left": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "alreadi": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "duti": 1, "shot": [1, 10, 11], "simplest": [1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16], "mail": 1, "repli": 1, "subsampl": 1, "chose": [1, 10, 11, 12, 15], "wasn": [1, 2, 5, 9, 11, 13, 15], "page": [1, 4, 19], "return": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 15], "miss": [1, 5, 6, 10, 14, 16, 17], "fell": [1, 11], "invas": 1, "essenc": [1, 3, 10, 11, 17], "lost": [1, 4, 8, 15], "variat": [1, 2, 4, 10, 13, 14, 15, 16, 17, 19], "subsequ": [1, 5, 16, 17], "advers": 1, "grade": [1, 4, 13], "explan": [1, 6, 9, 11, 12, 15, 16, 17], "lucki": [1, 12, 14], "transferr": 1, "luck": [1, 8, 10, 15], "transfer": 1, "score": [1, 3, 6, 8, 10, 11, 12, 13, 14, 15, 16], "back": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tall": 1, "taller": 1, "feedback": 1, "tri": [1, 2, 3, 4, 5, 6, 7, 11, 12, 14, 15, 16], "reinforc": [1, 13], "whenev": [1, 6, 9, 10, 11, 12, 13, 16], "trial": [1, 4, 9, 11, 14, 16, 17], "kahneman": [1, 12, 19], "tverski": [1, 12, 19], "intent": [1, 2, 4, 10, 11, 17], "subtli": [1, 11, 13, 15, 16], "desir": [1, 5, 6, 7, 9, 10, 11, 13], "clever": [1, 4, 7, 9, 11, 12, 15, 19], "han": [1, 19], "1907": 1, "pfungst": [1, 19], "1911": [1, 19], "hothersal": [1, 19], "2004": [1, 5, 19], "hors": [1, 19], "becam": [1, 17], "famou": [1, 5, 10], "math": [1, 2, 3, 4, 9, 10, 12, 13, 14, 15, 16, 17], "theirs": 1, "doubl": [1, 14], "blind": [1, 14], "recognis": [1, 6, 7, 9, 10, 11, 13, 16], "ideal": [1, 4, 6, 7, 10, 11, 15, 17], "pull": [1, 4, 10, 12, 13, 14, 17], "interact": [1, 2, 3, 7, 11, 14], "credit": [1, 4], "avoid": [1, 3, 4, 7, 8, 11, 12, 13, 15, 17], "convei": [1, 4, 5, 11], "pygmalion": 1, "great": [1, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16], "occas": [1, 4, 5], "fulfil": 1, "prophesi": 1, "watch": [1, 4, 5, 6, 8, 9, 12, 15], "captur": [1, 2, 4, 5, 10, 11, 14, 17], "hawthorn": [1, 4, 5, 19], "alter": [1, 7, 9, 10, 11, 15], "factori": [1, 9, 14, 15], "outsid": [1, 5, 7, 9, 11, 15], "chicago": 1, "adair": [1, 19], "1984": [1, 19], "1920": [1, 12, 14], "light": [1, 2, 4, 11, 13, 15, 16, 17], "worker": [1, 17, 19], "product": [1, 4, 12, 16], "knew": [1, 3, 4, 7, 10, 13], "behav": [1, 3, 4, 6, 13], "adopt": [1, 6, 7, 9, 10, 11, 13, 17], "seek": [1, 11, 14], "hypothes": [1, 10, 12, 13, 14, 15, 17], "confirm": [1, 4, 10, 13, 15], "exact": [1, 3, 4, 5, 10, 11, 13, 14, 15, 16, 19], "break": [1, 3, 4, 5, 6, 9, 13, 14, 15, 17], "destroi": [1, 9], "hypothesi": [1, 4, 8, 10, 14, 16, 19], "unnatur": [1, 15], "instruct": [1, 2, 7, 10, 12], "realist": [1, 7, 13, 16, 17], "apprehens": 1, "overli": 1, "chemic": 1, "inert": 1, "cure": [1, 13, 14, 15], "diseas": 1, "catch": [1, 6, 11, 15], "locat": [1, 3, 4, 5, 6, 9, 15], "wider": [1, 6, 9, 10, 15], "man": [1, 4, 17], "salari": 1, "upton": 1, "sinclair": 1, "couldn": [1, 4, 7, 14, 15, 16], "assumpt": [1, 4, 5, 6, 9, 10, 11, 17], "hilari": 1, "major": [1, 4, 5, 9, 11, 12, 13, 15], "immun": 1, "deceiv": 1, "flaw": [1, 2, 4, 11, 12], "hide": [1, 4, 5, 9, 10], "outright": 1, "unintention": 1, "slant": 1, "fabric": 1, "occasion": [1, 2, 3, 4], "clean": [1, 4, 5, 7, 16], "malici": 1, "profil": 1, "alleg": 1, "cyril": 1, "burt": 1, "andrew": 1, "wakefield": 1, "accus": [1, 12], "mmr": 1, "vaccin": 1, "autism": 1, "hwang": 1, "woo": 1, "suk": 1, "falsifi": 1, "stem": 1, "hoax": 1, "joke": [1, 12, 13], "eventu": [1, 2, 7, 9, 10, 11], "discov": [1, 2, 5, 9, 11, 12, 13, 14, 15, 16, 17], "discredit": 1, "piltdown": 1, "sokal": [1, 12, 19], "misrepresent": 1, "headlin": 1, "misrepres": 1, "dishonesti": 1, "due": [1, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sophist": [1, 4, 17], "simpson": 1, "paradox": [1, 19], "inconveni": 1, "variant": 1, "detect": [1, 5, 13, 14, 15, 16], "misdesign": 1, "built": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 16, 17], "correctli": [1, 2, 4, 11, 12, 15, 16, 17], "wrongli": 1, "sneaki": [1, 10, 12, 13], "dabbl": 1, "add": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "materi": [1, 5, 9, 10, 14], "reader": [1, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unintent": 1, "eras": 1, "hoc": [1, 15], "hypothesis": [1, 13], "softwar": [1, 2, 3, 4, 11, 13, 14, 15], "unacknowledg": 1, "invent": [1, 2, 4, 11, 12], "reanalys": 1, "acknowledg": [1, 16, 17], "censor": 1, "pervas": 1, "journal": [1, 11, 12, 19], "publish": [1, 2, 6, 9, 11, 12, 13, 17, 19], "submit": 1, "finnegan": 1, "wake": [1, 13], "internalis": 1, "accept": [1, 3, 4, 7, 8, 9, 10, 11, 12, 14, 15], "friend": [1, 4, 5, 7, 9, 13, 14], "stuf": 1, "null": [1, 13, 14, 15, 16, 17], "ioannidi": [1, 19], "2005": [1, 5, 12, 19], "depress": [1, 14], "titl": [1, 3, 10, 12, 13, 14, 15, 16, 17], "k\u00fchberger": [1, 19], "2014": [1, 19], "blindingli": [1, 10], "gullibl": 1, "automat": [1, 5, 10, 12, 15, 16, 19], "stereotyp": 1, "meant": [1, 2, 3, 11, 13, 15], "comprehens": [1, 3, 4, 6, 10, 16], "volum": 1, "justic": 1, "tightli": [1, 9, 13], "briefli": [1, 3, 4, 7, 11, 12, 13, 14, 15, 17], "white": [1, 3, 5, 7, 10, 11, 15, 19], "coat": [1, 10], "minut": [1, 5, 14], "search": [1, 3, 5, 6, 11, 14, 15], "dozen": [1, 4, 7, 9], "presidenti": 1, "indian": 1, "congress": 1, "1938": [1, 4], "sourc": [1, 2, 4, 5, 8, 10, 11, 14, 16, 20], "en": [1, 17], "wikiquot": 1, "org": [1, 10, 17], "wiki": [1, 17], "ronald_fish": 1, "awkward": [1, 4, 16], "oldest": [1, 12], "outdat": 1, "embarrass": 1, "wrote": [1, 2, 3, 6, 7, 10, 12, 13, 14, 15, 17], "revisit": [1, 3, 4, 9, 11, 15], "2018": 1, "karyotyp": 1, "ah": [1, 3, 4, 6, 12, 15], "daniel": [1, 4, 20], "giveawai": 1, "pronoun": 1, "default": [1, 3, 4, 5, 6, 10, 12, 13, 14, 15, 16, 17], "authori": 1, "voic": 1, "updat": [1, 10, 20], "besid": [1, 4, 9, 10, 13, 14, 15], "throughout": [1, 4, 5, 6, 8, 9, 11, 14, 15, 16, 17], "nicknam": 1, "strictli": [1, 4, 7, 11, 13, 14, 15, 17], "energi": 1, "heat": [1, 3], "cute": [1, 7], "annoyingli": [1, 12], "traditionalist": 1, "sigh": [1, 4, 14], "confus": [1, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 16, 17], "afraid": [1, 8, 15], "fanci": [1, 4, 6, 7, 8, 15, 17], "dealt": [1, 3], "covari": [1, 4, 15, 19], "pass": [1, 4, 6, 7, 9, 12, 14, 15, 17], "comfort": [1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 16], "argu": [1, 2, 3, 4, 6, 10, 11, 13, 15, 17], "disingenu": 1, "googl": [1, 2, 3], "scotsman": 1, "fallaci": 1, "emploi": 1, "ostens": 1, "whose": [1, 2, 4, 5, 9, 10, 11, 13], "fraudul": 1, "childish": 1, "robot": [2, 4, 9, 12, 17], "roger": [2, 6], "zelazni": [2, 6], "download": 2, "soon": [2, 3, 7, 12, 14, 15, 16], "push": 2, "button": [2, 9, 10, 14, 15], "goal": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "system": [2, 3, 5, 10, 11, 17, 19], "arguabl": [2, 10], "easiest": [2, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16], "program": [2, 3, 5, 9, 14, 15], "defin": [2, 3, 4, 7, 9, 11, 12, 13, 14, 15, 16, 17], "anywai": [2, 4, 5, 7, 9, 12, 13, 14, 15, 16], "excel": [2, 3, 4, 6, 9, 12, 14, 15], "mindless": [2, 4, 5, 9], "repetit": [2, 9, 13, 14, 16], "pencil": [2, 14], "pedagog": [2, 7], "spreadsheet": [2, 5], "microsoft": 2, "furthermor": [2, 6], "auto": 2, "format": [2, 3, 4, 5, 7, 9, 10, 12, 13, 14, 15], "habit": [2, 4, 5], "dug": 2, "hole": 2, "proprietari": 2, "commerci": [2, 14], "packag": [2, 3, 4, 6, 10, 11, 12, 13, 14, 15, 16], "bui": 2, "glossi": 2, "compani": [2, 9, 10, 19], "shadowi": 2, "husk": 2, "cheapli": 2, "full": [2, 3, 4, 5, 11, 13, 14, 15, 16, 17], "winc": 2, "licenc": 2, "staggeringli": 2, "tag": 2, "The": [2, 3, 5, 6, 7, 8, 19, 20], "model": [2, 3, 5, 9, 10, 11, 19], "suck": [2, 14, 17], "blame": [2, 3, 17], "shell": [2, 7], "free": [2, 8, 11, 12, 14, 15, 20], "exorbit": 2, "licens": [2, 20], "appreci": [2, 3, 17], "extens": [2, 3, 5, 11, 14], "modul": [2, 3, 4, 9, 13, 14], "wide": [2, 5, 10, 13, 14, 15, 16, 17], "extend": [2, 3, 5, 8, 9, 10, 14, 15, 16, 17], "freeli": 2, "avail": [2, 3, 4, 5, 7, 8, 10, 11, 14], "machin": [2, 3, 7, 8], "art": [2, 7, 8, 15], "simpler": [2, 4, 5, 7, 9, 13, 14, 15, 16], "expert": [2, 8], "psycholog": [2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19], "research": [2, 4, 5, 6, 9, 10, 12, 13, 14, 15, 17, 19], "onlin": [2, 3, 5], "autom": [2, 15], "artifici": [2, 16], "vision": 2, "speech": 2, "recognit": 2, "quirk": [2, 3, 11], "stuck": [2, 17], "strength": [2, 5, 6, 10, 13, 15, 17], "outweigh": [2, 11], "ok": [2, 3, 4, 5, 6, 7, 9, 14, 15], "text": [2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20], "presum": [2, 4, 5, 6, 12], "instructor": 2, "access": [2, 3, 4, 6, 10, 12, 14, 15, 20], "librari": [2, 4, 5, 6, 19], "availab": 2, "rich": [2, 3, 17], "ecosystem": [2, 3], "settl": [2, 4, 9], "frustrat": [2, 4, 11, 12, 13, 15], "varieti": [2, 5, 13, 14, 16], "anaconda": [2, 3], "conscious": 2, "numpi": [2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "scipi": [2, 3, 4, 9, 10, 11, 13, 14, 15, 17], "pingouin": [2, 3, 4, 13, 14, 15, 16], "stabl": 2, "cloud": [2, 11], "interfac": 2, "colab": [2, 3], "upload": 2, "analyz": [2, 14], "sensit": [2, 4, 15], "doubt": [2, 4, 11, 15], "safer": [2, 4, 17], "enrypt": 2, "send": [2, 5, 7], "file": [2, 4, 6, 7, 10, 12, 13, 14, 15], "id": [2, 6, 7, 12, 13], "integr": [2, 7, 9], "develop": [2, 3, 4, 7, 10, 12, 14, 16], "web": 2, "jupyt": [2, 3, 5, 7, 12], "notebook": [2, 3, 5, 7, 12], "unless": [2, 3, 4, 5, 6, 7, 10, 11, 12, 14, 15], "otherwis": [2, 3, 6, 7, 10, 11, 12, 13, 17], "reccomend": [2, 14], "assembl": 2, "usabl": [2, 6], "block": [2, 3, 8, 12, 13, 14], "copi": [2, 3, 6, 7, 13, 14, 15, 17], "past": [2, 3, 4, 6, 7, 10, 15, 17], "deviat": [2, 9, 12, 14, 15, 16, 19], "seri": [2, 3, 4, 5, 6, 7, 10, 12, 15], "plain": [2, 3, 5, 15, 17], "forgot": [2, 4], "caption": [2, 13, 14, 15, 16], "link": [2, 7, 11, 15], "elsewher": [2, 14, 15], "anywher": [2, 3, 4, 6, 10, 12], "delet": [2, 3, 5, 15], "complain": [2, 7, 17], "hit": [2, 9], "enter": [2, 4, 6, 13, 15], "execut": [2, 3, 4, 7], "screen": [2, 4, 6], "extract": [2, 3, 4, 9, 15, 16], "sum": [2, 3, 4, 6, 7, 9, 12, 13, 15, 17], "print": [2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "respons": [2, 4, 6, 9, 10, 11, 12, 13], "syntaxerror": [2, 6], "cannot": [2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 16, 17], "liter": [2, 4, 6, 9, 11, 12, 15, 17], "spit": [2, 14, 15], "messag": [2, 3, 7, 12, 17], "keyboard": 2, "countri": [2, 4, 10, 11], "upset": 2, "legitim": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12], "user": [2, 3, 5, 12], "nonsens": [2, 5, 13, 17], "whing": [2, 4], "shift": [2, 5, 6, 9, 11, 14, 17], "press": [2, 12, 19], "mindlessli": 2, "autocorrect": 2, "automaton": [2, 4, 5], "overrul": 2, "absurdli": 2, "uptight": 2, "redund": 2, "howl": 2, "anger": 2, "character": 2, "notori": 2, "inflex": 2, "liber": [2, 17], "zealous": 2, "conserv": [2, 12, 14, 17], "indent": [2, 7, 15], "enforc": [2, 17], "iron": [2, 10], "fist": 2, "lazi": [2, 3, 9, 10, 13, 14], "associ": [2, 4, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19], "arithmet": 2, "background": [2, 3, 5, 9, 10, 13], "extra": [2, 4, 6, 10, 15], "straight": [2, 4, 5, 11, 12, 13, 15, 16], "primari": [2, 9], "input": [2, 3, 4, 6, 7, 15, 16], "output": [2, 4, 5, 6, 7, 11, 12, 13, 14, 15, 16], "333": [2, 3, 4, 6], "57": [2, 4, 9, 13, 15], "61": [2, 4, 5, 10, 11, 14, 15, 16], "3477": 2, "integ": [2, 3, 4, 5, 7, 10], "modulu": 2, "ago": [2, 3, 15], "listen": [2, 11, 13], "n": [2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "th": [2, 4, 12, 13, 14, 15, 16], "squar": [2, 3, 4, 6, 9, 10, 11, 12, 13, 15, 17, 19, 20], "cube": [2, 4], "4th": 2, "equat": [2, 4, 9, 10, 12, 13, 14, 15, 16, 17], "625": 2, "inde": [2, 4, 5, 8, 9, 10, 13, 14, 15, 16], "bonu": 2, "save": [2, 4, 6, 7, 12, 13, 14, 15, 16], "interim": [2, 17], "taught": [2, 10, 12, 13, 15, 17], "bedma": 2, "racket": 2, "xponent": 2, "ivis": 2, "ultipl": 2, "ddition": 2, "ubtract": 2, "continu": [2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15, 17], "enclos": 2, "bracket": [2, 3, 4, 6, 12, 15], "resolv": [2, 13], "unsur": 2, "measur": [2, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19], "delv": 2, "harri": 2, "potter": 2, "350": [2, 13], "sale": [2, 3], "scene": 2, "rang": [2, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17], "properti": [2, 3, 4, 5, 6, 9, 10, 14, 15], "contain": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "direct": [2, 5, 6, 10, 13, 15, 19], "sign": [2, 3, 4, 6, 12, 13], "quest": 2, "strategi": [2, 3, 8, 12, 14, 15, 16, 17], "royalti": 2, "2450": 2, "revenu": 2, "verifi": [2, 4, 16], "straightforward": [2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16], "reassign": 2, "psychotrop": 2, "donat": 2, "550": 2, "3000": 2, "overwrit": [2, 7], "sweet": [2, 3, 7, 13], "impli": [2, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "hourli": 2, "wage": [2, 4], "dismal": 2, "1968": 2, "dictionari": [2, 6, 12], "pow": 2, "decim": [2, 3, 6, 14, 15], "speak": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "convert": [2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 16, 17], "float": [2, 4], "fyi": 2, "quickli": [2, 3, 5, 9, 14, 16], "content": [2, 3, 4, 7, 9, 11, 12, 14], "loui": 3, "sullivan": 3, "alongsid": 3, "build": [3, 6, 10, 12, 14, 15, 16, 17], "broadli": [3, 4, 6], "mechan": [3, 6, 7, 9, 11, 13, 14, 16], "navig": [3, 7], "frame": [3, 10, 12, 13, 14, 16], "formula": [3, 4, 9, 12, 13, 16, 17], "document": [3, 7, 9, 10, 15], "avenu": 3, "assist": 3, "foundat": [3, 9, 10, 11, 19], "tackl": [3, 10], "charact": [3, 4, 6, 7, 11, 13, 14], "script": [3, 5], "seeker": 3, "1415": 3, "lover": 3, "7183": 3, "keeper": 3, "539539450000001": 3, "code": [3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 20], "readabl": [3, 4, 5, 12], "explanatori": 3, "command": [3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16], "peculiar": [3, 16], "flexibl": [3, 11], "welcom": 3, "newcom": 3, "kindli": [3, 5, 12], "reinvent": 3, "wheel": 3, "achiev": [3, 4, 5, 6, 7, 9, 10, 13, 15, 16], "shoulder": 3, "cuebal": 3, "webcom": 3, "xkcd": 3, "handful": 3, "somewher": [3, 4, 9, 11, 14, 17], "boil": 3, "hang": [3, 6, 7], "enviro": 3, "recommend": [3, 13, 15, 17], "concert": 3, "suit": [3, 5, 9, 12, 13], "click": [3, 9, 10, 14, 15], "dedic": 3, "matplotlib": [3, 4, 5, 9, 10, 11, 13, 14, 15, 16], "statmodel": [3, 15], "scikit": 3, "earli": [3, 7, 11, 13, 14], "snippet": 3, "virtual": 3, "browser": 3, "nameerror": 3, "traceback": [3, 4, 7], "er": [3, 12], "luckili": [3, 4, 5, 6, 7, 13, 15], "resort": [3, 14], "cumbersom": [3, 6], "portion": 3, "renam": [3, 4, 5, 6], "height": [3, 5, 9], "abbrevi": [3, 4, 5, 17], "thu": [3, 4, 5, 9, 12, 13, 14, 16], "np": [3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "conveni": [3, 6, 10, 11, 12, 13, 15], "recogn": [3, 7], "stick": [3, 4, 6, 7, 12, 14, 15, 16], "sake": [3, 4, 5, 6, 12, 13, 15], "fun": [3, 4, 15, 20], "why_you_gotta_be_so": 3, "loos": 3, "advic": [3, 5, 6, 7, 11, 12, 13, 14, 16], "mental": [3, 12, 13, 15], "familar": 3, "dwell": 3, "peak": [3, 5, 9], "ill": 3, "advisedli": 3, "info": [3, 5], "0x111b6a4d0": 3, "op": [3, 17], "kage": 3, "__init__": 3, "py": [3, 7, 10, 11, 12], "ge": 3, "ython3": 3, "support": [3, 7, 11, 13, 15], "dir": [3, 4], "stage": [3, 5, 6, 8, 10, 11, 14], "anymor": [3, 4, 9, 13, 14, 16], "rid": 3, "undo": [3, 5], "forev": [3, 10], "del": 3, "reset": [3, 6], "harm": 3, "unus": 3, "comma": 3, "separ": [3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16], "store": [3, 4, 5, 6, 7, 9, 10, 12, 13, 15], "ipynb": 3, "digress": [3, 6, 7, 9, 11, 12, 15], "excit": [3, 4, 6, 7, 14, 17, 20], "window": [3, 11, 15], "maco": 3, "linux": 3, "root": [3, 4, 9, 10, 12, 13, 15], "folder": [3, 10, 11], "directori": 3, "drive": [3, 8], "ethan": [3, 4, 5, 12, 14, 20], "pythonbook": [3, 4, 5, 6, 12, 13, 14, 15, 16, 17], "lsp": 3, "pdf": [3, 4, 9, 10, 12, 13, 14], "unix": 3, "mac": 3, "spirit": [3, 4], "backslash": 3, "forward": 3, "slash": 3, "tutori": [3, 13], "commonli": [3, 4, 6, 9, 12, 13, 14], "bear": [3, 10, 11, 15], "booksal": 3, "row": [3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "willi": [3, 6], "nilli": [3, 6], "haven": [3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17], "suffic": [3, 6, 14], "column": [3, 4, 5, 12, 13, 14, 15, 16, 17], "github": 3, "parenthes": [3, 12], "nicer": [3, 14, 15], "versatil": 3, "loop": [3, 10, 15], "calcul": [3, 5, 6, 9, 11, 12, 13, 17, 19], "to_csv": 3, "desktop": [3, 5], "my_fil": 3, "export": [3, 5], "bunch": [3, 4, 6, 7, 9, 10, 12, 13, 14, 15], "fit": [3, 5, 9, 14, 16, 19], "dataset": [3, 4, 10], "z": [3, 4, 14, 15], "outcom": [3, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 17], "unexpect": 3, "quotat": [3, 6], "forgotten": [3, 12, 13, 16], "depressingli": 3, "hello": 3, "aka": [3, 15], "int": [3, 7, 10], "14": [3, 4, 5, 6, 7, 9, 12, 13, 14, 15, 16, 17], "foibl": 3, "storag": 3, "4392": 3, "cow": 3, "75": [3, 4, 5, 9, 13, 15, 17], "pig": 3, "21": [3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 19], "hen": 3, "animals_tot": 3, "anim": [3, 12, 19], "103": [3, 7, 10, 14, 19], "face": [3, 4, 5, 9, 11, 14, 15, 17], "fraction": [3, 11], "234": [3, 6], "000003": [3, 13], "behavior": [3, 15, 19], "binari": [3, 10, 13], "round": [3, 5, 8, 12, 13, 14, 15, 16, 17], "3333333333333333": 3, "ten": [3, 11], "0001": 3, "1001": 3, "infinit": [3, 9, 10, 13], "repeat": [3, 6, 9, 10, 12, 13, 14, 15, 16, 17], "30000000000000004": 3, "mathematician": [3, 9, 10, 12], "blissfulli": 3, "unawar": [3, 11], "halfwai": 3, "nearest": 3, "neares": 3, "_": [3, 6, 7, 10, 12, 13, 14, 15, 16], "musn": 3, "tangent": 3, "esoterica": 3, "odditi": [3, 11], "conceiv": [3, 11], "000000000000001": 3, "0000000000000001": 3, "ugh": [3, 4, 6], "yup": [3, 12], "64": [3, 4, 12, 13, 15, 19], "processor": 3, "probabi": [3, 4, 7], "0000000000000009": 3, "alright": [3, 7], "p": [3, 4, 7, 9, 12, 13, 14, 15, 16, 19], "cat": [3, 7, 14], "appl": [3, 4, 6, 7, 13], "supercalifragilisticexpialidoci": [3, 7], "confusingli": 3, "42": [3, 4, 6, 7, 10, 13, 15], "8374": 3, "87": [3, 10, 12, 19], "gift": 3, "paperweight": 3, "doorstop": 3, "weapon": 3, "am": [3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 17, 20], "stringss": 3, "catcatcatcatcat": 3, "whet": 3, "appetit": 3, "galaxi": 3, "IN": 3, "split": [3, 4, 6, 15], "l": [3, 7, 19], "r": [3, 4, 5, 9, 12, 13, 14, 16, 19, 20], "join": [3, 10], "ax": [3, 4, 5, 9, 10, 11, 13, 14, 15, 16], "xlxoxnxgx": 3, "xtxixmxex": 3, "xaxgxox": 3, "xixnx": 3, "xax": 3, "xgxaxlxaxxxyx": 3, "xfxaxrx": 3, "xaxwxaxi": 3, "replac": [3, 5, 6, 7, 10, 13, 16], "suburb": 3, "a_long_time_ago_in_a_galaxy_far_far_awai": 3, "fantast": [3, 20], "die": [3, 9], "christma": 3, "movi": [3, 15], "pronounc": 3, "conson": 3, "gif": 3, "opportun": [3, 4, 17], "arug": 3, "typeerror": [3, 7], "126": [3, 15], "minimum": [3, 4, 10, 13, 14], "arguement": [3, 5], "shop": 3, "pear": [3, 6, 7], "banana": [3, 6, 7], "65": [3, 4, 12, 13, 15, 17, 19], "mix": [3, 7, 15, 19], "309": [3, 19], "enamor": 3, "realiz": [3, 7, 13, 14, 20], "strang": [3, 4, 6, 13, 15], "zeroeth": 3, "europ": [3, 17, 19], "floor": 3, "backward": 3, "stumbl": 3, "attribut": [3, 4, 6, 9, 11, 15, 16], "o": [3, 7, 11, 12, 19], "toi": [3, 4, 6, 11, 13, 16], "unknown": [3, 9, 11, 13, 15], "len": [3, 4, 5, 6, 7, 10, 12, 13, 14, 15], "programm": 3, "es": [3, 4, 13], "mutabl": 3, "immut": [3, 11], "shopping_list": 3, "shopping_tupl": 3, "grape": [3, 6], "appropri": [3, 4, 6, 9, 10, 11, 13, 15], "funni": [3, 4, 5, 10, 13, 15, 16], "truli": [3, 4, 6, 12, 15], "syntax": [3, 4, 5, 6], "pair": [3, 4, 9, 10, 14, 15], "entri": [3, 4, 12, 14, 16], "pet": 3, "my_pet": 3, "d2": [3, 17], "sleep": [3, 4, 5, 7, 14, 15], "dislik": 3, "loud": [3, 7], "nois": 3, "plan": [3, 14, 16], "my_week": 3, "todo": 3, "feed": [3, 4, 6, 12, 13], "fix": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19], "demonstr": [3, 7, 9, 10, 11, 12, 14], "owl": 3, "bar": [3, 4, 9, 10, 13, 14, 15, 16], "burrow": 3, "barn": 3, "screech": 3, "spot": [3, 7], "finch": 3, "goldfinch": 3, "crossbil": 3, "redpol": 3, "grosbeak": 3, "sparrow": 3, "song": [3, 11], "throat": 3, "captain": 3, "jack": 3, "bird": 3, "mishmosh": 3, "bedfellow": 3, "judgi": 3, "element": [3, 4, 6, 7, 10, 11, 12, 13, 15, 17], "uniqu": [3, 4, 5, 10, 11, 12, 14, 16], "favorit": [3, 4], "color": [3, 4, 9, 10, 11, 12, 13, 14, 15], "our_color": 3, "red": [3, 10, 12, 15], "orang": [3, 4, 5, 13, 15], "yellow": 3, "sentenc": [3, 7, 14, 17], "wonder": [3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "v": [3, 4, 5, 10, 12, 13, 19], "u": [3, 10], "blank": [3, 9], "space": [3, 5, 9, 15], "exclam": 3, "toe": 3, "remeb": 3, "lowercas": [3, 7, 16], "__add__": 3, "__class__": 3, "__contains__": 3, "__delattr__": 3, "__dir__": 3, "__doc__": 3, "__eq__": 3, "__format__": 3, "__ge__": 3, "__getattribute__": 3, "__getitem__": 3, "__getnewargs__": 3, "__gt__": 3, "__hash__": 3, "__init_subclass__": 3, "__iter__": 3, "__le__": 3, "__len__": 3, "__lt__": 3, "__mod__": 3, "__mul__": 3, "__ne__": 3, "__new__": 3, "__reduce__": 3, "__reduce_ex__": 3, "__repr__": 3, "__rmod__": 3, "__rmul__": 3, "__setattr__": 3, "__sizeof__": 3, "__str__": 3, "__subclasshook__": 3, "capit": [3, 7, 12], "casefold": 3, "center": [3, 6, 13, 14, 16], "encod": 3, "endswith": 3, "expandtab": 3, "format_map": 3, "isalnum": 3, "isalpha": 3, "isascii": 3, "isdecim": 3, "isdigit": 3, "isidentifi": 3, "islow": 3, "isnumer": 3, "isprint": 3, "isspac": 3, "istitl": 3, "isupp": 3, "ljust": 3, "lstrip": 3, "maketran": 3, "partit": 3, "removeprefix": 3, "removesuffix": 3, "rfind": 3, "rindex": 3, "rjust": 3, "rpartit": 3, "rsplit": 3, "rstrip": 3, "splitlin": 3, "startswith": [3, 7], "strip": [3, 5, 7, 15], "swapcas": 3, "translat": [3, 4, 5, 7, 9, 10, 11, 12, 13, 15, 16, 20], "zfill": 3, "yike": [3, 4, 6, 7], "__": 3, "front": [3, 13, 15], "meddl": 3, "1231": 3, "__class_getitem__": 3, "__delitem__": 3, "__iadd__": 3, "__imul__": 3, "__reversed__": 3, "__setitem__": 3, "append": [3, 4, 7, 10, 11, 15], "insert": [3, 10], "pop": [3, 8, 9, 10, 11, 13, 17], "attributeerror": [3, 4], "113": [3, 10], "friendli": [3, 4, 12], "342": 3, "zebrafish": 3, "hei": [3, 5, 10], "cool": [3, 4, 7, 11, 12, 13, 14], "retriev": 3, "mishmsoh": 3, "layer": 3, "enorm": [3, 9], "progress": [3, 7, 9, 12], "depth": [3, 9, 10], "345": [3, 19], "432": 3, "575": 3, "43": [3, 12, 13, 14, 15], "32": [3, 4, 5, 11, 12, 13, 14, 16], "565": 3, "233": [3, 14], "865": 3, "45645": 3, "45": [3, 4, 5, 9, 13, 14, 15, 16], "332": 3, "453": [3, 16], "346": 3, "324": [3, 4, 7], "fifth": 3, "seventh": [3, 8], "17": [3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16, 19], "primarili": [3, 8, 13, 16], "crucial": [3, 7, 10], "wrangl": [3, 5, 14], "353": 3, "minim": 3, "nasti": [3, 7, 15], "bicker": 3, "chiefli": 3, "unpleas": 3, "yeah": [3, 8, 9, 15], "haha": [3, 4, 6], "compact": [4, 5, 13, 15], "understood": [4, 9, 12], "oppos": [4, 5, 9, 13, 15, 16], "inferenti": [4, 9, 10, 11, 17], "synonym": 4, "load": [4, 5, 7, 12, 13], "afl_finalist": [4, 5], "afl_margin": [4, 5], "githubusercont": [4, 5, 6, 12, 13, 14, 15, 16, 17], "ethanwe": [4, 5, 6, 12, 13, 14, 15, 16, 17], "footbal": [4, 5, 14], "leagu": [4, 5], "afl": [4, 5, 13], "win": [4, 5, 8, 9, 10, 11, 13], "margin": [4, 5, 6, 11, 12, 13, 16, 17], "176": [4, 5], "game": [4, 5, 8, 9, 10, 14], "season": [4, 5, 10], "400": [4, 5, 7, 8], "team": [4, 5, 9, 10], "200": [4, 7, 12], "period": [4, 5, 12], "1987": [4, 5], "56": [4, 5, 9, 10, 12, 13, 15, 19], "31": [4, 5, 6, 10, 12, 13, 16, 17], "171": 4, "172": [4, 15], "38": [4, 5, 13, 14, 15, 19], "173": 4, "29": [4, 5, 6, 9, 11, 13], "174": 4, "175": [4, 19], "pictur": [4, 5, 8, 9, 10, 11, 14, 15, 17], "histogram": [4, 9, 10, 13, 14, 15, 16, 17], "histplot": [4, 5, 9, 10, 11, 13, 14, 15, 16], "graph": [4, 9, 10, 14, 19], "represent": [4, 15], "frequenc": [4, 5, 6, 9, 10, 11, 12, 14, 16], "despin": [4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "athough": 4, "gist": [4, 9], "condens": [4, 12], "li": [4, 9, 10, 11, 15, 16, 17], "frac": [4, 9, 10, 12, 13, 14, 15, 16, 17], "183": 4, "36": [4, 11, 13, 14, 15], "excus": [4, 15], "notat": [4, 9, 10, 11, 13, 14, 15, 16, 17], "attach": [4, 6, 9, 10, 11, 15], "subscript": [4, 12, 13, 16, 17], "x_n": 4, "x_i": [4, 10, 13, 15], "x_3": [4, 9], "x_4": [4, 9], "x_5": [4, 9], "x_": [4, 13, 15, 16], "summat": [4, 12, 14, 16], "scriptstyl": 4, "shorten": [4, 11, 12], "sum_": [4, 10, 12, 13, 14, 15, 16], "clarifi": 4, "box": [4, 9, 10, 11, 12, 15], "circumst": [4, 11, 14], "vector": [4, 6, 10, 12, 13, 15], "6213": 4, "dtype": [4, 6, 12], "int64": [4, 6, 12], "whatsoev": [4, 13], "slice": [4, 7], "ado": 4, "sudden": 4, "amongst": 4, "rout": 4, "30113636363637": 4, "ascend": [4, 6], "mathbf": 4, "sixth": 4, "sort_valu": [4, 6, 14], "sorted_margin": 4, "84": [4, 13, 14, 15, 19], "165": 4, "117": [4, 10], "123": 4, "136": [4, 16], "peek": [4, 5, 6, 17], "centr": [4, 5, 6, 15, 17], "graviti": [4, 17], "smaller": [4, 10, 12, 13, 14, 15, 16, 17], "nomin": [4, 5, 12, 13, 17], "scale": [4, 5, 6, 9, 10, 12, 13, 14, 15, 19, 20], "ordin": [4, 13], "interv": [4, 5, 6, 13, 14, 15, 17], "ratio": [4, 5, 9, 12, 13, 14, 15, 16, 17, 20], "asymmetr": 4, "bodi": 4, "drag": 4, "tail": [4, 5, 6, 9, 11, 13], "bob": 4, "incom": [4, 15], "kate": 4, "jane": 4, "58": [4, 6, 11, 13, 16], "bill": [4, 10], "043": [4, 15], "750": 4, "500": [4, 5, 11], "mock": 4, "septemb": [4, 7], "senior": 4, "commonwealth": 4, "bank": 4, "sidewai": 4, "craig": [4, 12, 19], "jame": [4, 15], "chief": 4, "economist": [4, 10], "trade": [4, 13, 15], "arm": [4, 10], "commsec": 4, "mortgag": 4, "rent": 4, "oblivi": 4, "market": 4, "cba": 4, "war": [4, 8], "doomsay": 4, "intern": [4, 15], "household": 4, "citi": [4, 9, 12, 17], "nationwid": 4, "san": [4, 16], "francisco": 4, "york": [4, 19], "auckland": 4, "vancouv": 4, "analyst": [4, 5, 7, 17], "led": [4, 8, 14], "bottom": [4, 5, 9, 10, 13, 15], "demographia": 4, "um": [4, 13, 14, 17], "seriou": [4, 6, 11, 14], "discrep": [4, 12, 13, 17], "domest": 4, "mid": [4, 6], "asset": 4, "earn": 4, "wealthiest": 4, "ralph": 4, "norri": 4, "multi": 4, "million": [4, 10], "packet": 4, "underst": 4, "quantit": [4, 5], "organis": [4, 6, 8, 12, 14, 16], "elementari": [4, 9], "insight": 4, "lender": 4, "vest": 4, "swath": 4, "secur": [4, 5], "loan": 4, "outlier": [4, 5, 15], "belong": [4, 6, 10, 12, 14], "action": [4, 7, 11, 15, 17], "dri": 4, "suspici": [4, 5, 8, 11, 13, 15], "trickier": [4, 9, 11, 12, 13, 14, 16], "robust": [4, 15, 17, 19], "remedi": [4, 13, 14], "discard": 4, "smallest": [4, 9, 11, 13, 14, 15], "preserv": [4, 6, 15, 16, 17], "regular": [4, 6, 7, 13, 14, 16], "famili": [4, 14, 15], "span": [4, 5, 6], "tempt": [4, 5, 11, 12, 13, 14, 15, 16, 17], "rest": [4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16], "dataset2": 4, "trim_mean": 4, "dataset3": 4, "head": [4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "finalist": [4, 5], "melbourn": [4, 5], "carlton": [4, 5], "essendon": [4, 5], "geelong": [4, 5], "16": [4, 6, 7, 9, 10, 12, 13, 14, 15], "collingwood": [4, 5], "west": [4, 5], "coast": [4, 5], "22": [4, 9, 10, 11, 12, 13, 14, 15, 16], "glad": 4, "value_count": [4, 5, 12, 14], "39": [4, 5, 10, 11, 14, 15, 16], "north": [4, 5], "27": [4, 5, 6, 14, 15, 19], "26": [4, 5, 6, 13, 14, 16], "adelaid": [4, 5, 9, 10, 17], "sydnei": [4, 5, 9], "brisban": [4, 5], "st": [4, 5, 10, 15, 19], "kilda": [4, 5], "western": [4, 5], "bulldog": [4, 5], "port": [4, 5, 10], "richmond": [4, 5], "fremantl": [4, 5], "max": [4, 5, 10, 13, 15], "freq": [4, 12], "bet": [4, 8, 9, 11, 15, 17], "consol": [4, 7], "prize": [4, 13], "modal": 4, "spread": [4, 5], "minu": [4, 12, 13, 14, 16], "maximum": [4, 9, 10, 13], "116": [4, 5], "min": [4, 5, 12, 13, 15], "omit": [4, 9, 11, 13, 14], "quantifi": [4, 10, 11, 14, 17], "worst": [4, 17], "unduli": 4, "110": [4, 10], "iqr": 4, "25th": [4, 5], "quantil": [4, 6, 10, 13, 15], "75th": [4, 5], "percentil": [4, 5, 6, 10, 12], "10th": [4, 8], "50th": 4, "folk": [4, 10, 11, 17], "quarter": 4, "slowli": [4, 11, 14], "52": [4, 12, 13, 14, 19], "irritatingli": [4, 15], "acronym": [4, 10], "ambigu": [4, 11, 12, 13, 17], "aad": 4, "unambigu": [4, 9, 13], "mbox": [4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "labori": [4, 10, 14], "x_bar": 4, "ab": [4, 6, 11, 15], "elegantli": 4, "eleg": [4, 5, 15], "ordinari": [4, 13, 15], "statsmodel": [4, 10, 14, 15, 16], "pandas_mad": 4, "statsmodels_mad": 4, "var": [4, 10, 11, 13, 14], "clearer": [4, 5, 13, 14, 16], "shortli": [4, 7, 9, 11, 15, 16], "376": [4, 6], "817": [4, 19], "96": [4, 10, 13, 14, 15], "\u3164\u3164": 4, "burn": [4, 12, 13], "reveal": [4, 10, 12, 15], "fortun": [4, 5, 9, 11, 12, 13, 15, 17], "405": 4, "broken": [4, 11, 12, 14, 17], "typo": [4, 5, 7, 12], "idiot": [4, 15, 17], "tini": [4, 7, 9, 10, 11, 12, 13, 14, 15], "switch": [4, 5, 8, 9, 14, 17], "empti": [4, 5, 7, 14, 17], "squared_error": 4, "675": 4, "9718168904958": 4, "679": 4, "834512987013": 4, "hm": [4, 8, 13, 14, 15], "outlin": [4, 9, 10, 13, 16], "initi": [4, 5, 12, 14], "paramet": [4, 9, 11, 12, 13, 14, 15], "pvarianc": 4, "population_vari": 4, "sample_vari": 4, "9718168904959": 4, "mysteri": [4, 10, 13], "novel": [4, 14], "hint": [4, 11, 12, 15], "quantiti": [4, 9, 11, 12, 13, 14, 15, 16], "uninterpret": 4, "accord": [4, 11, 13, 15, 17], "footi": [4, 5, 14], "unit": [4, 6, 15], "rmsd": 4, "neatli": 4, "nobodi": 4, "clue": 4, "01": [4, 10, 11, 12, 13, 14, 15, 16, 17], "sd": [4, 9, 10], "std": [4, 5, 13, 14, 15], "dev": [4, 13, 14], "sqrt": [4, 9, 10, 12, 13, 14, 15], "stdev": [4, 10, 13], "hat": [4, 10, 12, 13, 14, 15, 16], "sigma": [4, 9, 10, 13, 14, 15], "073636359108274": 4, "thumb": [4, 15], "symmetr": [4, 6, 13], "bell": [4, 9, 10], "shape": [4, 5, 6, 10, 12, 15], "shade": [4, 5, 9, 11], "distanc": [4, 14, 15], "unreason": [4, 6, 8, 13, 17], "previous": [4, 6, 12, 13, 14, 15, 16], "07": [4, 16], "4826": 4, "manual": [4, 5, 7, 12, 13, 14, 15], "91074326085924": 4, "curv": [4, 5, 9, 10, 13], "minor": [4, 9, 10, 11], "attract": [4, 5], "hood": [4, 5, 16], "pyplot": [4, 5, 9, 10, 11, 13, 14, 15, 16], "plt": [4, 5, 9, 10, 11, 13, 14, 15, 16], "url": [4, 5, 10], "skewdata": 4, "df_skew": 4, "subplot": [4, 5, 9, 10, 13, 14, 15, 16], "figsiz": [4, 5, 9, 10, 13, 14, 15], "ax1": [4, 5, 9, 10, 13, 14], "loc": [4, 5, 6, 10, 13, 14, 16], "negskew": 4, "binwidth": [4, 9, 10, 11, 13], "02": [4, 11, 12, 15, 17], "ax2": [4, 5, 9, 10, 13, 14], "noskew": 4, "ax3": [4, 5, 13], "posskew": 4, "set_titl": [4, 5, 9, 10, 11, 13, 15], "xticklabel": [4, 10], "yticklabel": [4, 10], "tick_param": [4, 9, 10, 15], "asymmetri": [4, 11], "panel": [4, 5, 9, 10, 13, 14, 15, 16], "axi": [4, 6, 9, 10, 15], "skipna": 4, "7804075289401982": 4, "pointi": 4, "file1": 4, "kurtosisdata": 4, "file2": 4, "kurtosisdata_ncurv": 4, "df_kurtosi": 4, "mu": [4, 9, 10, 13, 14, 16], "linspac": [4, 9, 10, 12, 13, 14, 15], "norm": [4, 9, 10, 13, 14, 17], "platykurt": 4, "mesokurt": 4, "leptokurt": 4, "twinx": [4, 9, 10], "lineplot": [4, 9, 10, 11, 12, 13, 14], "40000": 4, "black": [4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "flat": [4, 10, 15], "set_xlim": [4, 13], "set_ylim": [4, 10, 13, 16], "25000": 4, "assess": [4, 11, 13, 14, 15, 16], "fischer": 4, "pearson": [4, 11, 12, 14, 15, 19], "10109718805638757": 4, "06434955786516161": 4, "0643495578651616": 4, "bia": [4, 10, 11, 13, 15, 17, 19], "eyebal": 4, "dramat": [4, 9], "000000": [4, 5, 12, 13, 15], "301136": [4, 5], "073636": [4, 5], "750000": [4, 5, 13], "500000": [4, 5, 12], "quartil": [4, 5], "blowout": 4, "operationalis": [4, 9, 10, 11, 15], "exce": 4, "132": [4, 6, 15], "cryptic": 4, "clinical_trial_data": 4, "df_clintrial": 4, "therapi": [4, 14, 16], "mood_gain": [4, 14, 16], "placebo": [4, 14, 16], "anxifre": [4, 14, 16], "shed": 4, "nan": [4, 13, 14, 15, 16], "883333": 4, "533854": 4, "100000": [4, 13], "425000": 4, "850000": 4, "300000": [4, 13], "800000": 4, "grumpi": [4, 5, 14, 15], "70": [4, 9, 10, 11, 12, 13, 17, 19], "shockingli": [4, 7, 14], "159": 4, "016": [4, 15], "standardis": [4, 13, 16], "lone": 4, "gotten": [4, 11, 14, 17, 20], "pseudo": 4, "z_i": 4, "transform": [4, 10, 14, 15, 16, 17], "zscore": [4, 15], "subtleti": [4, 5], "heurist": [4, 12, 13], "extravers": 4, "extravert": 4, "grumpier": [4, 15], "unusu": [4, 5, 7, 12, 15, 17], "sport": 4, "heart": [4, 9, 10, 12, 15], "fictiti": [4, 10, 14], "infant": 4, "son": [4, 10, 15], "affect": [4, 11], "nerd": [4, 7, 15], "parenthood": [4, 5, 15], "dan_sleep": [4, 5, 15], "baby_sleep": [4, 5, 15], "dan_grump": [4, 5, 15], "59": [4, 5, 9, 10, 11, 13, 15], "91": [4, 5, 10, 14, 15], "66": [4, 5, 6, 10, 13, 15], "71": [4, 5, 9, 13, 14, 15, 16], "55": [4, 5, 9, 11, 13, 14, 15], "67": [4, 5, 9, 13, 14, 15], "00000": 4, "965200": 4, "049200": 4, "71000": 4, "015884": 4, "074232": 4, "04967": 4, "011492": 4, "840000": 4, "250000": [4, 13], "41": [4, 5, 6, 11, 13, 15], "292500": 4, "030000": 4, "950000": 4, "740000": 4, "635000": 4, "070000": 4, "graphic": [4, 10, 13, 14, 16], "depict": [4, 5, 9, 10, 13, 15, 16], "grump": [4, 5, 15], "sharei": [4, 9, 10, 13, 15], "suptitl": [4, 9, 10], "readership": [4, 9, 12], "slept": [4, 15], "03": [4, 11, 12, 13, 14, 16], "sleepi": [4, 15], "scatterplot": [4, 13, 15], "set_xlabel": [4, 15, 16], "set_ylabel": [4, 15, 16], "sleep_scatter1": 4, "stronger": [4, 11, 12, 15, 17], "neater": 4, "predict": [4, 8, 9, 11, 12, 13, 14, 15, 16, 19], "sleep_scatter2": 4, "sleepier": 4, "sleep_scatt": 4, "fig2": 4, "explicit": [4, 6, 10, 11, 12, 15, 16], "tradition": [4, 10, 13, 14, 16], "r_": [4, 12, 14], "corr": [4, 14, 15], "cov": 4, "rneg": 4, "val": [4, 10, 13, 14, 15], "enumer": [4, 10, 13, 14, 15, 16], "multivariate_norm": 4, "y_i": [4, 15], "cross": [4, 12, 13, 16, 17], "unrel": 4, "magnitud": [4, 11, 14], "contribut": [4, 14, 16, 19], "oversimplif": [4, 13], "_x": 4, "_y": 4, "usag": [4, 13], "9033840374657269": 4, "matrix": [4, 6, 15, 19], "627949": [4, 15], "903384": [4, 15], "098408": [4, 15], "565964": [4, 15], "010434": [4, 15], "076479": [4, 15], "exagger": [4, 13], "benchmark": 4, "judg": [4, 11, 13, 15], "deem": [4, 11, 15], "moder": [4, 13, 14], "neglig": [4, 13, 17], "index": [4, 5, 6, 10, 12, 14, 15, 16, 17], "anscomb": [4, 19], "quartet": 4, "816": [4, 15], "y1": [4, 9, 13, 14], "04": [4, 10, 11, 13, 15, 16], "y2": [4, 9, 13, 14, 15], "74": [4, 10, 13, 15], "77": [4, 10], "y3": [4, 12, 14], "73": [4, 9, 13, 14, 16, 19], "x4": 4, "y4": [4, 12], "76": [4, 10, 13, 15], "47": [4, 6, 13, 14, 16, 19], "89": [4, 10], "81642051634484": 4, "8162365060002427": 4, "8162867394895982": 4, "8165214368885031": 4, "spectacularli": 4, "shortcom": 4, "linear": [4, 6, 14], "reward": [4, 9], "scribbl": [4, 7, 15], "rankcorr": 4, "receiv": [4, 5, 6, 13, 16], "40": [4, 6, 9, 10, 11, 12, 13, 16], "79": [4, 13, 15], "85": [4, 10, 15, 17], "88": [4, 10, 14, 16], "9094019658612525": 4, "regplot": [4, 5, 10, 15], "ci": [4, 10, 13, 15, 16], "set_linestyl": 4, "lowest": [4, 6, 12, 15, 17], "laziest": 4, "semest": [4, 7, 13], "specifii": [4, 10], "ranked_hour": 4, "ranked_grad": 4, "9999999999999999": 4, "spearman": 4, "rho": 4, "skip": [4, 7, 12, 13, 14, 15], "clariti": [4, 9], "gloss": [4, 10, 14], "safest": 4, "unhelp": [4, 10], "nanmean": 4, "nanmedian": 4, "nanpercentil": 4, "nanmax": 4, "nanmin": 4, "nansum": 4, "nanstd": 4, "16496580927726": 4, "peski": 4, "var1": 4, "var2": 4, "var3": 4, "niggl": [4, 6], "demonin": 4, "demoni": 4, "ddof": 4, "nancorr": 4, "explor": [4, 7, 13, 16], "parenthood2": 4, "introducd": 4, "morn": [4, 9, 15], "976923": 4, "114494": 4, "152174": 4, "020409": 4, "046821": 4, "851574": 4, "285000": 4, "460000": 4, "200000": 4, "785000": 4, "610000": 4, "eight": [4, 14], "614723": 4, "903442": 4, "076797": 4, "567803": 4, "058309": 4, "005833": 4, "handili": 4, "untru": 4, "dropna": 4, "639498": 4, "899515": 4, "061329": 4, "586561": 4, "145558": 4, "068166": 4, "reliabl": [4, 10, 15], "paranoid": [4, 15], "cue": [4, 15], "rubbish": [4, 15], "reang": 4, "beast": 4, "wish": [4, 6], "touch": [4, 5, 6, 10], "death": [4, 5], "tragedi": 4, "josef": 4, "stalin": 4, "potsdam": 4, "1945": 4, "950": 4, "soviet": [4, 9, 19], "repress": [4, 19], "1937": 4, "ellman": [4, 19], "infam": 4, "deni": 4, "multitud": 4, "incomprehens": [4, 12], "visualis": [4, 5, 9, 15], "cold": [4, 10], "summon": 4, "saturdai": [4, 7], "lifetim": [4, 17], "gulag": 4, "dull": 4, "dread": 4, "stomach": 4, "chill": 4, "stalinist": 4, "combin": [4, 5, 6, 7, 14, 16, 17], "wipe": 4, "woman": 4, "aliv": [4, 10], "atroc": 4, "audienc": [4, 5, 12], "sole": [4, 5, 12], "non": [4, 5, 6, 7, 9, 10, 11, 12, 14, 15], "competit": [4, 8, 11, 12, 14], "greek": [4, 11, 15], "letter": [4, 6, 7, 10, 11, 12, 15, 16], "analogu": [4, 14], "alphabet": [4, 16], "pi": [4, 9], "numb": 4, "pain": [4, 5, 12, 13, 14], "dot": [4, 5, 13, 15, 16], "thorough": [4, 10], "net": [4, 17], "au": [4, 17], "09": [4, 9, 11, 13, 14, 15, 16], "3021480": 4, "htm": 4, "subfield": 4, "grappl": 4, "cope": 4, "picki": [4, 5], "refresh": [4, 15], "flip": [4, 9, 11, 12], "loss": [4, 5, 8, 10], "coolest": 4, "introduct": [4, 6, 8, 12, 14, 17, 19], "tack": [4, 6], "caution": [4, 6], "warrant": [4, 13], "meaningfulli": [4, 11], "pearsonr": 4, "spearmanr": 4, "mcar": 4, "ungrammat": 4, "edward": 5, "tuft": 5, "exploratori": 5, "stylis": 5, "redraw": [5, 15], "snow": 5, "cholera": 5, "map": [5, 9, 11, 15], "circl": 5, "outbreak": 5, "pump": 5, "1854": 5, "simplic": [5, 6, 13, 14, 15], "street": 5, "viewer": 5, "casual": 5, "dr": [5, 13], "arrang": [5, 10, 14], "Such": 5, "twofold": 5, "struggl": [5, 17], "customis": 5, "futur": [5, 10, 11, 17], "paint": 5, "canva": 5, "onto": [5, 6, 7, 9, 11, 14, 15, 16], "stroke": 5, "throw": [5, 7, 9, 15], "painter": 5, "particularli": [5, 11, 14, 15], "headach": [5, 16], "metaphor": 5, "inadvert": 5, "oil": 5, "watercolour": 5, "analog": [5, 11, 13, 14, 16, 17], "brush": [5, 13], "creativ": [5, 11], "custom": [5, 10, 12], "eas": [5, 13], "greatli": 5, "simplifi": [5, 10, 12, 16, 17], "sooner": 5, "dip": [5, 7], "stencil": 5, "impressionist": 5, "cubism": 5, "artist": 5, "impos": [5, 7, 12], "overarch": 5, "aesthet": 5, "constraint": [5, 9, 12, 13, 14, 15, 16, 17], "coher": [5, 6], "platform": 5, "specialis": [5, 7], "fibonacci": 5, "customari": [5, 7], "digit": [5, 7], "bezo": 5, "chart": [5, 9], "variabl": [5, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "bump": [5, 15], "dive": [5, 10], "tidli": 5, "pleas": [5, 10, 13, 15], "poster": 5, "font_scal": 5, "adjust": [5, 10, 12, 13, 14, 17], "set_context": 5, "seven": [5, 14], "decent": [5, 7], "resourc": [5, 7], "contradictori": [5, 11], "site": [5, 10, 12], "stackoverflow": [5, 15], "coder": 5, "copiou": 5, "consul": 5, "cramp": 5, "room": [5, 11], "breath": 5, "flourish": 5, "elbow": 5, "usus": 5, "happiest": 5, "meet": [5, 7, 11, 13], "grab": [5, 15], "impress": [5, 7, 9, 11, 13, 15], "bin": [5, 6, 11], "leftmost": 5, "downsid": 5, "cram": [5, 12, 13], "overwhelm": [5, 11], "relatedli": 5, "120": [5, 10, 15], "clutter": 5, "width": [5, 9], "whisker": 5, "median": [5, 14, 17], "interquartil": 5, "vertic": [5, 9], "squat": 5, "horizont": [5, 9, 15], "distant": 5, "177": 5, "327": [5, 6], "aha": 5, "riddl": [5, 8, 10], "phase": 5, "wast": [5, 9, 12, 17], "chunk": [5, 6, 7, 9], "obnoxi": 5, "star": [5, 11, 15], "player": 5, "underpow": 5, "poorli": [5, 15], "streak": [5, 8], "turf": 5, "annihil": 5, "met": [5, 7, 12, 13, 15], "exclud": [5, 15], "weren": [5, 10, 12, 17], "tip": [5, 10], "disregard": [5, 16], "massacr": 5, "shame": [5, 7, 11], "pertain": [5, 16], "judgment": [5, 15], "aflsmall2": 5, "afl2smal": 5, "4291": 5, "4292": 5, "4293": 5, "4294": 5, "4295": 5, "summar": 5, "stripplot": 5, "jitter": 5, "overlap": [5, 11], "favor": 5, "insur": 5, "violinplot": 5, "densiti": [5, 13, 20], "thin": 5, "kernal": 5, "techin": 5, "underli": [5, 6, 9, 11, 16], "unknow": 5, "glanc": [5, 13], "curvi": 5, "allevi": [5, 10], "mini": 5, "spine": [5, 10, 13], "set_vis": [5, 10, 13, 14], "overlai": [5, 9, 20], "potenti": [5, 9, 12, 15], "obscur": [5, 11], "conceal": 5, "indici": 5, "prepar": [5, 10, 13], "diamond": [5, 12], "outier": 5, "boxprop": 5, "facecolor": 5, "edgecolor": [5, 13], "medianprop": 5, "whiskerprop": 5, "capprop": 5, "correl": [5, 11, 13, 14, 16, 19], "latter": [5, 12, 15], "suspicion": 5, "slope": [5, 15], "faint": 5, "transluc": 5, "df2": [5, 9, 13], "to_fram": 5, "reset_index": [5, 6, 14, 16], "inplac": [5, 14], "barplot": [5, 9], "illeg": 5, "rotat": 5, "stare": [5, 15], "insist": [5, 8, 17], "makeov": 5, "yum": 5, "brag": 5, "savefig": 5, "tweak": [5, 7, 10], "bbox_inch": 5, "tight": [5, 17], "dark": 5, "png": 5, "enjoi": 5, "waaaai": 5, "craft": 5, "introducton": 5, "configur": 5, "ala": 5, "enemi": 5, "steep": 5, "payoff": [5, 9], "hardest": [5, 10], "edit": [5, 19, 20], "harken": 5, "matlab": 5, "inspir": 5, "launceston": 5, "de": 5, "facto": 5, "demolit": 5, "kardinia": 5, "park": 5, "strung": 5, "lopsid": 5, "modest": [5, 10, 16, 17], "186": 5, "garden": [6, 7, 13], "confin": 6, "philosoph": [6, 8, 19], "laid": [6, 17], "tractor": 6, "honestli": [6, 9, 12, 13, 15, 17], "realiti": 6, "cetera": 6, "motiv": [6, 8, 10, 11, 12, 13, 15], "essenti": [6, 7, 10, 11, 12, 13, 15, 17, 19], "dump": [6, 7, 14, 16], "scratch": 6, "surfac": [6, 16], "grasp": [6, 7, 9, 14], "lightli": [6, 16], "flick": [6, 14], "nine": 6, "divd": 6, "552": 6, "624": 6, "431": 6, "925": 6, "662": 6, "634": 6, "635": 6, "memori": [6, 10, 13, 15, 17, 19], "aaaand": 6, "python": [6, 7, 11], "score_data": 6, "particp": [6, 14], "my_row": 6, "my_column": 6, "scroll": 6, "endlessli": 6, "tolist": 6, "father": 6, "tv": [6, 9], "night": 6, "transcrib": 6, "dialogu": [6, 8], "speaker": 6, "utter": 6, "saniti": 6, "upsi": 6, "daisi": 6, "tombliboo": 6, "makka": 6, "pakka": 6, "pip": [6, 12, 15], "onk": 6, "ee": 6, "oo": 6, "crosstab": [6, 12, 14, 16, 17], "col_0": 6, "satisfi": [6, 9, 10, 11, 12, 13, 14, 16, 17], "rowtot": 6, "coltot": 6, "tab": 6, "worthwhil": 6, "header": [6, 15], "hoo": 6, "boi": [6, 7, 11, 12, 16], "fascin": 6, "procedur": [6, 9, 10, 11, 14, 15, 16, 17, 19], "div": 6, "smallish": [6, 7, 15], "younger": 6, "proposit": [6, 14], "dinosaur": 6, "midpoint": 6, "endpoint": 6, "trivial": [6, 13, 15], "opinion_strength": 6, "shini": 6, "opinion_direct": 6, "tidi": [6, 12], "discret": [6, 9, 10, 11, 12], "gather": [6, 9], "coars": 6, "grain": 6, "edg": [6, 11], "categoris": 6, "deleg": 6, "667": 6, "942": 6, "boundari": [6, 11], "94": [6, 10, 13, 15, 19], "roughli": [6, 9, 10, 17], "0th": 6, "33rd": 6, "66th": 6, "100th": 6, "qcut": 6, "q": [6, 14, 15, 19], "999": 6, "shrunk": [6, 11], "unequ": [6, 13], "carv": [6, 14], "inher": [6, 17], "drawback": [6, 7, 11, 13, 15], "advis": 6, "777298672345782376823578287355": 6, "7773": 6, "listnam": 6, "step_siz": 6, "trip": 6, "spinach": 6, "fruit": [6, 13], "strawberri": 6, "df_test": 6, "df_control": 6, "df_old": 6, "df_youngish": 6, "old_and_slow": 6, "old_and_slow_control": 6, "df_sort": 6, "df_cake": 6, "cake": [6, 7, 17], "df_cakes_flip": 6, "batch": [6, 8], "sorri": [6, 8, 12, 15, 16], "first_thre": 6, "last_two": 6, "sucker": 6, "df_join": 6, "squish": 6, "stack": [6, 14, 15], "dataram": 6, "accomplish": [6, 7], "concat": [6, 9], "df_concaten": 6, "undertak": 6, "layout": 6, "alcohol": 6, "caffein": 6, "capac": [6, 10, 13, 15], "wmc": 6, "recruit": [6, 14], "inflenc": 6, "drugs1": 6, "melt": 6, "df_long": 6, "id_var": 6, "reaction": 6, "wmc_alcohol": 6, "wmc_caffein": 6, "wmc_no": 6, "rt_alcohol": 6, "rt_caffein": 6, "rt_no": 6, "488": 6, "236": 6, "371": 6, "607": 6, "349": 6, "643": 6, "226": 6, "412": 6, "684": 6, "206": 6, "252": 6, "262": 6, "439": 6, "wide_to_long": 6, "sadli": [6, 12, 13, 15], "bid": 6, "stubnam": 6, "sub": 6, "j": [6, 7, 8, 10, 12, 14, 19], "sep": 6, "suffix": 6, "prefix": 6, "stub": 6, "intak": 6, "alchol": 6, "underscor": [6, 7], "wmc_": 6, "rt_": 6, "prof": 6, "deserv": [6, 15], "idex": 6, "multiindex": 6, "thow": 6, "recip": [6, 7, 17], "disast": 6, "pivot": 6, "swivel": 6, "track": [6, 7, 9, 14, 16], "df_wide": [6, 14], "492": 6, "230": [6, 9], "464": 6, "690": 6, "259": [6, 13], "486": [6, 17], "305": 6, "686": 6, "273": [6, 15], "645": 6, "240": 6, "498": 6, "voil\u00e0": 6, "resembl": [6, 12], "convers": [6, 7, 8, 9, 11], "reassembl": 6, "df_wmc": 6, "col": 6, "df_rt": 6, "df_gender": 6, "chain": 6, "drill": 6, "flatten": [6, 7, 13, 14], "hangman": 6, "curli": [6, 9], "brace": [6, 19], "anova": [6, 13, 15], "regress": [6, 10, 12, 13, 14], "predictor": [6, 13, 14, 15, 16], "rational": [6, 15], "trademark": 6, "patent": 6, "pend": 6, "dream": 7, "vertigo": 7, "william": [7, 11, 13], "gibson": 7, "super": [7, 17], "via": [7, 12, 13, 16], "prompt": [7, 13], "albeit": [7, 12, 14], "beginn": [7, 14], "fool": 7, "chop": 7, "disciplin": [7, 9, 12], "patient": [7, 13], "forth": 7, "workspac": 7, "imag": 7, "conjunct": [7, 14, 16], "reproduc": [7, 10, 14, 16], "suddenli": 7, "comb": 7, "recreat": 7, "hasn": [7, 15, 16], "reus": [7, 14, 15], "adapt": [7, 13, 15, 17, 20], "inevit": [7, 9, 14], "string": [7, 15], "log": [7, 11, 12, 15], "myrawdata": 7, "mydataanalysi": 7, "comment": [7, 13, 14, 19], "benefit": [7, 14], "mynewdatanalaysi": 7, "email": [7, 13], "colleagu": [7, 17], "1986": [7, 10, 19], "puzzl": 8, "bitter": 8, "hill": [8, 10, 19], "arthur": 8, "welleslei": [8, 10], "duke": 8, "wellington": 8, "carriag": 8, "ride": 8, "countrysid": 8, "companion": 8, "croker": [8, 10], "victori": [8, 9], "gambler": 8, "justifi": [8, 10, 11, 12, 17], "gambl": [8, 9], "paid": 8, "reckon": 8, "wcc": 8, "cwc": 8, "wwc": 8, "ccc": 8, "sequenc": [8, 9, 10], "scorecard": 8, "Their": 8, "yyi": 8, "jerk": [8, 10, 13], "dissect": [8, 12], "pitch": 8, "philosophi": [8, 11, 19], "brief": [8, 9, 11, 13, 17], "13th": 8, "justif": [8, 10, 11], "hume": [8, 17], "nelson": 8, "goodman": 8, "divers": 8, "lewi": 8, "carrol": 8, "lunch": [8, 10, 15], "theorem": [8, 12, 13, 15], "escap": [8, 11, 16], "dialog": 8, "implicit": [8, 15], "welles": [8, 10], "revis": [8, 17, 19], "factual": 8, "inconsist": [8, 11, 17], "hallmark": 8, "sherlock": 8, "holm": [8, 15, 19], "inabl": 8, "ultim": [8, 11, 17, 20], "underpin": [8, 9, 11, 14, 16, 17], "bartlebi": 8, "344": 8, "god": [9, 11, 12, 15], "twilight": 9, "lock": 9, "stamp": 9, "herald": 9, "oct": 9, "tough": 9, "premier": 9, "poll": [9, 10], "unpopular": 9, "labor": 9, "administr": 9, "vote": [9, 10, 12], "cent": 9, "unremark": [9, 12], "entail": 9, "nsw": 9, "voter": [9, 10, 12], "alp": 9, "feder": 9, "elect": 9, "elector": 9, "commiss": 9, "610": 9, "795": [9, 13, 19], "609": 9, "98": [9, 10, 15], "4610795": 9, "005": [9, 14, 15, 17], "4610025": 9, "83": [9, 10, 15], "everybodi": 9, "enterpris": 9, "lion": 9, "doctrin": 9, "branch": 9, "coin": [9, 11, 12], "roll": 9, "dice": 9, "card": [9, 11], "shuffl": [9, 12, 16], "deck": [9, 12], "lotteri": 9, "probabilist": [9, 10], "commission": 9, "spous": 9, "rig": [9, 10, 13, 17], "neq": [9, 11, 12, 13, 15, 16], "consensu": 9, "walk": [9, 11, 12], "soccer": 9, "arduino": 9, "arsen": 9, "milan": 9, "ideolog": [9, 11, 17], "subscrib": 9, "talli": 9, "n_h": 9, "number_of_flip": 9, "number_of_head": 9, "00": [7, 9, 12, 15], "69": [9, 12, 13, 19], "53": [9, 11, 13, 14, 15], "dampen": 9, "nutshel": 9, "infin": [9, 10], "rightarrow": [9, 10], "infti": [9, 10], "converg": 9, "patienc": 9, "simul": [9, 10, 12, 15, 17], "drew": [9, 10, 15], "fluke": [9, 13], "frequentist_prob": 9, "def": [7, 9, 10, 15], "coin_flip": 9, "uniform": 9, "arang": [9, 11, 13, 15], "cumsum": 9, "proportion_head": 9, "run1": 9, "run2": 9, "run3": 9, "run4": 9, "frequentist_probability_fig": 9, "unfold": 9, "undesir": [9, 12], "pocket": 9, "land": 9, "wear": 9, "meteorologist": 9, "rain": [9, 17], "novemb": 9, "2048": 9, "forbid": [9, 17], "tomorrow": [9, 11], "subjectivist": 9, "steadili": 9, "traction": 9, "decad": [9, 11], "flavour": 9, "ration": 9, "agent": 9, "formalis": [9, 10, 13, 16], "disadvantag": [9, 10, 11, 15], "alien": 9, "uncomfort": [9, 14], "obei": 9, "pragmatist": 9, "relax": 9, "tower": [9, 11], "20th": [9, 11, 14, 17], "vehement": 9, "oppon": 9, "impenetr": 9, "jungl": 9, "arrest": 9, "1922": [9, 11, 12, 19], "paul": 9, "meehl": [9, 19], "potent": 9, "steril": 9, "intellectu": [9, 12], "rake": 9, "merri": 9, "ravish": 9, "maiden": 9, "viabl": 9, "offspr": 9, "1967": [9, 19], "devoid": 9, "entertain": [9, 13], "territori": 9, "promis": [9, 10, 15, 17], "orthodox": [9, 11], "notwithstand": [9, 17], "andrei": 9, "kolmogorov": [9, 13], "pant": 9, "disturb": 9, "jean": 9, "tracksuit": 9, "sadder": 9, "mister": 9, "grant": [9, 11], "wardrob": 9, "sad": [9, 12], "trite": 9, "grei": 9, "eventnam": 9, "wrap": [9, 12, 13, 15, 17], "cup": [7, 9], "cap": 9, "chi": [9, 11, 13, 14, 17, 19, 20], "skull": 9, "proce": [9, 15], "167": 9, "theta": [9, 11], "sim": [9, 11, 12, 13, 14], "2022036": 9, "binom": [9, 11], "pmf": 9, "pixel": 9, "exp": 9, "exponenti": 9, "k": [9, 11, 12, 13, 14, 15, 19], "20220358121717247": 9, "repeatedli": [9, 17], "n1": [9, 13], "n2": [9, 13, 16], "r1": [9, 16], "r2": [9, 15], "101": [7, 9, 10], "p1": [9, 15, 16], "p2": [9, 15, 16], "df1": 9, "set_xtick": 9, "honour": 9, "gaussian": 9, "quietli": 9, "smooth": [9, 15], "weather": 9, "pleasant": 9, "spring": 9, "varianc": [9, 10, 12, 13, 19], "labelleft": 9, "labeltop": 9, "labelright": 9, "labelbottom": [9, 10, 15], "linestyl": [9, 10, 13, 15], "normals2": 9, "widen": 9, "shrink": 9, "twini": 9, "irrespect": [9, 10], "sdnorm": 9, "sdnorm2": 9, "x_fill1": 9, "001": [9, 11, 12, 13, 14, 15, 16], "x_fill2": 9, "y_fill1": 9, "y_fill2": 9, "fill_between": [9, 12, 13], "alpha": [9, 10, 11, 12, 13, 14, 15, 16], "admittedli": [7, 9, 10, 12, 15], "distort": [9, 10, 15, 16], "portabl": 9, "989422804014327": 9, "thermomet": 9, "dart": 9, "board": 9, "99998": 9, "9998": [9, 15], "liar": 9, "numref": 9, "heavier": [9, 13], "tdist": 9, "degfre": [9, 13], "chi2": [9, 12, 17], "sane": 9, "fdist": 9, "degfree1": 9, "degfree2": 9, "dist": [9, 13, 14], "37495055": [], "94156658": [], "96302133": [], "20757735": [], "20647971": [], "61603773": [], "49750524": [], "72068372": [], "70983379": [], "20401518": [], "freedom": [9, 10, 11, 12, 13, 14, 15, 17], "exploit": 9, "normal_a": 9, "normal_b": 9, "normal_c": 9, "chi_square_data": 9, "scaled_chi_square_data": 9, "t_3": 9, "normal_d": 9, "chi_square_3": 9, "chisquar": [9, 12], "chi_square_20": 9, "scaled_chi_square_3": 9, "scaled_chi_square_20": 9, "f_3_20": 9, "unsightli": 9, "df_1": 9, "df_2": [9, 14, 15], "versu": [9, 12, 13, 14], "coverag": 9, "exhaust": [9, 10, 15], "bookshelf": 9, "hurt": [9, 10, 15], "skim": [9, 14, 16], "academ": [9, 10, 12, 17, 19], "redescrib": [9, 13], "increasingli": [9, 10, 11], "controversi": 9, "passeng": 9, "injur": 9, "crash": 9, "calculu": 9, "int_a": 9, "dx": [], "larri": 9, "moe": 9, "huei": 9, "dewei": 9, "louie": 9, "boringli": 9, "highlight": [10, 14, 17], "concis": 10, "witter": 10, "prelud": 10, "phone": 10, "finit": [7, 10], "incomplet": 10, "ring": 10, "terrestri": 10, "destin": 10, "wellselei": 10, "subset": [10, 15, 16], "bag": 10, "chip": 10, "shake": 10, "shook": 10, "member": [10, 12, 14, 16], "br": 10, "dismiss": 10, "miracl": 10, "narrowest": 10, "stratifi": 10, "subpopul": 10, "strata": 10, "effici": 10, "schizophrenia": 10, "schizophren": 10, "forgiv": [7, 10], "simplif": [10, 11, 12], "oversampl": 10, "snowbal": 10, "techniqu": [10, 11, 14], "contact": [10, 11], "tran": 10, "intrus": 10, "network": 10, "consent": 10, "relianc": [10, 17], "restrict": [10, 11, 13, 15], "srs1": [], "unproblemat": 10, "mondai": [7, 10, 14], "wealthi": 10, "industrialis": 10, "exclus": [10, 11, 17], "grown": 10, "coffer": 10, "overflow": [10, 12, 15], "gold": 10, "courtesi": 10, "blah": 10, "border": 10, "critiqu": 10, "rehash": 10, "truism": 10, "rambl": 10, "thorni": 10, "tendenc": [10, 12], "rant": 10, "ecologist": 10, "realm": 10, "iq": [10, 15, 16], "operation": [10, 11], "grid": [10, 15], "ax0": [10, 13], "10000": [10, 11], "transax": [10, 15, 16], "fontsiz": 10, "fontweight": 10, "va": 10, "106": 10, "107": [10, 19], "72": [10, 13, 14, 16], "encourag": [10, 13, 20], "poulat": 10, "iq_10": 10, "iq_100": 10, "iq_10000": 10, "104": 7, "43867269618876": [], "06550343462831": [], "102": [7, 10], "68503725167218": [], "973649420035605": [], "91296994766488": [], "215898680015181": [], "jacob": 10, "bernoulli": 10, "founder": [10, 17], "1713": 10, "stigler": [10, 19], "men": 10, "himself": [10, 13], "wander": 10, "passag": [10, 17], "condescend": 10, "rewritten": [12, 14], "proof": [10, 11, 14], "somehow": [10, 11], "maynard": [10, 19], "keyn": [10, 19], "famous": [10, 11], "tempestu": 10, "storm": 10, "ocean": 10, "1923": [10, 19], "abandon": 10, "astyp": 10, "iq_1": 10, "93": [12, 13, 15], "replic": [10, 11], "iq_2": 10, "105": [7, 10, 17], "112": [10, 15], "86": [13, 15], "118": 10, "125": [10, 13, 15, 16], "122": 10, "121": [10, 15], "109": [10, 12], "138": 15, "amass": 10, "iq_samp_dist": 10, "sample_mean": [10, 13], "119": [10, 15], "iq_max": 10, "highest": [10, 17], "140": 10, "sample_max": 10, "inaccur": 10, "recalcul": 10, "clm": 10, "sem": [10, 13], "subax": 10, "plotsampl": 10, "ramp": 10, "beta": [10, 11, 15, 16], "triangular": 10, "50000": 10, "sharex": 10, "devat": 10, "poison": [10, 13], "piri": 10, "south": 10, "industri": 10, "town": 10, "smelter": 10, "whyalla": 10, "steel": 10, "refineri": 10, "local": [10, 15], "gunpoint": 10, "shall": [10, 13, 14, 16, 17], "intut": 10, "cromul": 10, "bare": [10, 11, 13, 14, 15], "sample_sd": 10, "dash": [10, 15, 17], "axvlin": [10, 13], "opt": 12, "miniconda3": 12, "env": 12, "pythonbook3": 12, "lib": 12, "python3": 12, "922": 15, "xbar": [], "920": [], "issubclass": [], "921": [], "_decimal_sqrt_of_frac": [], "mss": [], "denomin": [13, 16], "_float_sqrt_of_frac": [], "374": [], "372": [], "373": [], "sketch": [], "bug": 12, "msg407078": [], "bit_length": [], "_sqrt_bit_width": [], "_integer_sqrt_of_frac_rto": [], "rnorm": 10, "sampdistsd": 10, "estimatorbia": 10, "ns": 10, "averagesamplesd": 10, "averagesamplemean": 10, "sample_mean_1": 10, "samplemean": 10, "samplesd": 10, "dashdot": 10, "ylim": [10, 13], "axhlin": [10, 13, 14, 15], "imprecis": [10, 14], "115": [10, 15, 19], "certainti": [10, 11, 17], "ppf": [10, 11, 12], "5th": [10, 19], "025": [10, 13, 15], "975": [10, 11, 15], "9599639845400545": 10, "959963984540054": 10, "leq": [10, 11], "algebra": [10, 14, 15], "rewrit": [10, 12, 16, 17], "pm": 10, "15th": 10, "85th": 10, "0364333894937898": 10, "960201263621358": 10, "9602012636213575": 10, "262157162740992": 10, "2621571627409915": [], "uncertain": 10, "probabail": 10, "bayesian": [10, 13, 14, 15], "frequentist": [10, 17], "cirep": 10, "rng": 10, "default_rng": 10, "n_experi": 10, "increment": 10, "simdata": 10, "too_high": 10, "too_low": 10, "no_mean": 10, "pointplot": [10, 13, 14, 16], "130": 10, "vline": 10, "ymin": 10, "ymax": 10, "pedant": [10, 12], "credibl": 10, "drastic": 10, "tconfint_mean": 10, "ci_1": 10, "api": [10, 14, 15, 16], "sm": [10, 14, 15, 16], "ci_2": 10, "descrstatsw": 10, "514149929408497": 10, "485850070591503": 10, "shelf": 10, "load_dataset": 10, "total_bil": 10, "sex": [10, 19], "sun": [10, 11], "dinner": 10, "datapoint": 10, "x_estim": 10, "extraordinarili": 10, "sloppi": 10, "pollut": 10, "deficit": 10, "illusori": [10, 13], "implaus": [10, 11, 16], "resent": 10, "weaker": [10, 11], "ore": 10, "unbiased": 10, "shirt": 10, "amstat": 10, "jse": 10, "v10n3": 10, "friedman": 10, "harmon": 11, "ludwig": 11, "wittgenstein": 11, "dogmat": 11, "dogma": [11, 17], "heresi": 11, "surround": [7, 11], "succumb": 11, "promot": 11, "professor": 11, "ensconc": 11, "ivori": 11, "happili": [11, 15], "protect": [11, 17], "tenur": 11, "indulg": 11, "thoroughli": 11, "unproduct": 11, "extrasensori": 11, "percept": 11, "esp": 11, "gloriou": 11, "clairvoy": 11, "adjac": 11, "upward": [11, 13], "portrai": 11, "substant": [11, 15], "testabl": 11, "music": [11, 13], "speed": [7, 11], "ontolog": 11, "battlefield": 11, "tautolog": 11, "club": [11, 12], "unfalsifi": 11, "domain": [11, 13], "wall": [11, 16], "hypothei": 11, "wacki": 11, "badli": [11, 15], "h_0": [11, 12, 13, 14, 15, 16, 17], "neglect": 11, "h_1": [11, 12, 13, 14, 15, 16, 17], "defend": [11, 17], "prosecutor": 11, "presumpt": 11, "innoc": 11, "maximis": 11, "yield": 11, "convict": [11, 15], "lawyer": 11, "unlucki": 11, "1024": [11, 14], "retain": [11, 12, 13, 15, 17], "h0": 11, "ii": [11, 13, 14, 15], "wrongfulli": 11, "jurist": 11, "blackston": 11, "guilti": 11, "punish": 11, "central": [11, 12, 13, 14, 15], "retent": 11, "secondari": 11, "conced": 11, "binomi": [11, 12], "xlim": 11, "evas": 11, "annot": [11, 12, 14], "xytext": [11, 12, 14], "arrowprop": [11, 12, 14], "dict": [11, 12, 14, 15], "arrowstyl": [11, 12, 14], "600": 11, "580": [11, 15], "patch": 11, "get_x": 11, "set_color": 11, "lightgrei": 11, "geq": 11, "occult": 11, "divin": 11, "privat": 11, "jargon": [11, 13, 17], "contriv": 11, "practition": [11, 17], "ashlei": 11, "cc": [11, 20], "onesid": 11, "jerzi": 11, "cleaner": 11, "021": 11, "intoler": 11, "soften": 11, "trillion": 11, "mistaken": 11, "bluntli": 11, "chisqreport": 11, "unsurpris": [11, 15, 16], "framework": [11, 15, 16, 17], "tension": 11, "062": 11, "patholog": [11, 13], "051": [11, 13], "049": [11, 13, 15], "reput": 11, "amazingli": 11, "attest": 11, "sig": 11, "06": [11, 13], "spss": 11, "0000000001": 11, "suppress": 11, "tier": 11, "whichev": [7, 11, 14, 15], "implement": [11, 12, 14, 15], "binom_test": 11, "6m": [10, 11], "mwt0c30539b1zrk5vf14dpr44pd98r": [10, 11], "ipykernel_11158": [], "1922679674": 11, "deprecationwarn": [10, 11], "deprec": [10, 11], "binomtest": 11, "02097873567785172": 11, "ters": 11, "emphasis": [11, 13], "unabl": [11, 17], "alternative2": 11, "entireti": 11, "powerfunct": 11, "sharpli": [11, 13], "prob": [11, 15], "cdf": [11, 13, 14], "prob_low": 11, "probablil": 11, "alert": [11, 15], "inappropri": 11, "mice": 11, "tiger": 11, "abroad": 11, "georg": 11, "1976": 11, "cohen": [11, 14, 19], "1988": [11, 13, 19], "elli": [11, 19], "theta_0": 11, "successfulli": 11, "psychic": 11, "proclaim": 11, "crisi": 11, "magnifi": 11, "quiet": 11, "darken": 11, "distract": 11, "strengthen": [11, 17], "boost": [11, 15], "powerfunctionsampl": 11, "qbinom": 11, "critlo": 11, "crithi": 11, "figwidth": 11, "600px": 11, "zig": 11, "zag": 11, "contempl": 11, "feasibl": 11, "partli": [11, 12, 17], "wife": 11, "bureaucrat": 11, "nhst": 11, "necess": [11, 15], "promin": 11, "hate": [11, 12, 14, 17], "histor": 11, "disput": 11, "mash": 11, "lehmann": [11, 19], "mishmash": 11, "exrem": 11, "emphat": 11, "unrepent": 11, "thoughtless": [11, 15], "rush": [11, 14], "gelman": [11, 19], "stern": [11, 19], "2006": [11, 13, 19], "significantli": [11, 13, 14, 15], "54": [7, 11, 13, 19], "borderlin": [11, 17], "wari": 11, "ubiquit": [11, 17], "cursori": 11, "recap": 11, "soft": 11, "fond": 11, "tractatu": 11, "logico": 11, "philosphicu": 11, "emerg": [11, 12], "hybrid": 11, "apolog": 11, "rigor": 11, "intellect": 11, "adversari": 11, "uk": [11, 19], "french": 11, "inquisitori": 11, "conflat": [11, 12, 13], "karl": [11, 12], "popper": 11, "falsificationist": 11, "falsification": 11, "fine": [11, 12, 14, 15], "proviso": 11, "caught": 11, "057": [11, 14], "000000000000000000000000136": 11, "1900": [12, 19], "difficulti": [12, 14, 17], "imaginari": 12, "spade": 12, "choice_1": 12, "choice_2": 12, "subj1": 12, "subj2": 12, "subj3": 12, "subj4": 12, "subj5": 12, "195": 12, "subj196": 12, "196": 12, "subj197": 12, "197": 12, "subj198": 12, "198": 12, "subj199": 12, "199": 12, "subj200": 12, "o_2": 12, "heartsuit": 12, "o_1": 12, "diamondsuit": 12, "spadesuit": 12, "o_3": 12, "clubsuit": 12, "o_4": 12, "o_i": 12, "p_j": [12, 14], "p_1": 12, "p_2": 12, "p_3": 12, "p_4": 12, "panad": 12, "float64": 12, "e_i": [12, 15], "p_i": 12, "225": 12, "convention": [12, 13], "chase": [12, 14, 15], "manychi": 12, "y5": 12, "region": [12, 13, 14], "95th": 12, "goftest": 12, "critical_valu": 12, "hmm": 12, "f_ob": 12, "f_exp": 12, "power_divergenceresult": 12, "pvalu": [12, 13, 14], "0377418520240214": 12, "gosh": 12, "darn": 12, "readi": [12, 15], "x2": [12, 13, 14], "038": 12, "nullprob": 12, "741666666666667": 12, "192": 12, "preced": 12, "cry": 12, "writer": 12, "intim": 12, "polit": [12, 13, 17], "intro": [12, 13, 15, 20], "dens": 12, "overrid": 12, "thesi": 12, "satan": 12, "delight": 12, "scriptur": 12, "rohlf": [12, 19], "1994": [12, 14, 19], "034": 12, "unclear": 12, "collabor": 12, "modifi": [7, 12, 14, 15, 16], "guardbot1": 12, "halt": 12, "guardbot2": 12, "leela": 12, "fry": 12, "uh": [12, 15], "eh": 12, "puppi": [12, 17], "flower": [7, 12, 17], "sweeti": 12, "futurama": 12, "bot": 12, "documentari": 12, "quaint": 12, "nativ": [12, 13], "chapek": 12, "visitor": 12, "civil": 12, "chapek9": [12, 17], "180": [12, 17], "overwhelmingli": 12, "tabul": [12, 13, 16, 17], "freqtabl": 12, "teeni": 12, "o_": 12, "c_": 12, "ij": 12, "r_i": 12, "r_1": 12, "c_j": 12, "c_1": 12, "p_": 12, "e_": 12, "_i": [12, 15], "conting": [12, 19], "rcl": [12, 13, 14, 15], "rc": [12, 16], "bundl": 12, "frill": 12, "chi2_conting": [12, 17], "crunch": 12, "dof": [12, 13, 14, 17], "ex": [12, 17], "721571792595633": 12, "004697213134214071": 12, "31666667": 12, "68333333": 12, "21666667": 12, "78333333": 12, "46666667": 12, "53333333": 12, "chooser": 12, "easis": 12, "wherev": 12, "instal": 12, "conda": 12, "webpag": 12, "plug": [12, 14, 15], "pg": [12, 14, 15, 16], "chi2_independ": 12, "_lib": 12, "_util": 12, "runtimewarn": 12, "_ncx2_sf": 12, "cond": [12, 15], "temp": 12, "316667": 12, "216667": 12, "466667": 12, "683333": 12, "783333": 12, "533333": [12, 13], "observed_manu": 12, "observed_pingouin": 12, "lambda": [12, 15], "pval": [12, 14, 15, 16], "cramer": 12, "721572": 12, "004697": 12, "244058": 12, "842961": 12, "cressi": 12, "666667": 12, "757745": 12, "004613": 12, "244469": 12, "844244": 12, "likelihood": [12, 15], "922195": 12, "004249": 12, "246331": 12, "849966": 12, "freeman": [12, 19], "tukei": [12, 15], "131562": 12, "003827": 12, "248681": 12, "856988": 12, "mod": [12, 15], "421716": 12, "003310": 12, "251901": 12, "866249": 12, "neyman": 12, "280435": 12, "002154": 12, "261198": 12, "890668": 12, "wow": 12, "pinguoin": [12, 13, 15], "dirti": [12, 15], "bow": 12, "classifi": [12, 14, 16], "reactiv": 12, "worthless": 12, "cartoon": 12, "yate": [12, 19], "1934": [12, 19], "redefin": [12, 13], "hack": 12, "commonplac": [12, 13, 16], "phi": 12, "unsatisfactori": 12, "propos": [12, 15], "cram\u00e9r": [12, 19], "cochran": [12, 19], "1954": [12, 19], "larntz": [12, 19], "1978": [12, 19], "hospit": 12, "matern": 12, "ward": 12, "girl": [12, 16], "infeas": 12, "emot": 12, "statu": 12, "witchcraft": [12, 13], "whom": 12, "stake": 12, "fire": 12, "awfulli": [12, 16], "salem": 12, "userwarn": 12, "309402": 12, "068885": 12, "454794": 12, "444097": 12, "265804": 12, "070738": 12, "451788": 12, "439356": 12, "321858": 12, "068365": 12, "455649": 12, "445448": 12, "507069": 12, "061107": 12, "468179": 12, "465301": 12, "850051": 12, "049744": 12, "490539": 12, "500918": 12, "276692": 12, "021613": 12, "574276": 12, "632005": 12, "r_2": 12, "c_2": 12, "hypergeometr": 12, "daunt": 12, "fisher_exact": 12, "freq_tabl": 12, "oddsratio": 12, "03571428571428571": 12, "036": 12, "hire": 12, "parti": [12, 14], "agpp": 12, "advertis": 12, "160": 12, "lend": 12, "eek": 12, "1947": [12, 13, 19], "nonstandard": 12, "p_a": 12, "p_b": 12, "p_c": 12, "p_d": 12, "diagon": [12, 13, 15], "revert": 12, "response_befor": 12, "response_aft": 12, "subj": 12, "chi2_mcnemar": 12, "approx": 12, "033333": 12, "000523": 12, "000325": 12, "agresti": [12, 19], "1996": [12, 14, 19], "misunderstood": 12, "conflict": [12, 19], "garbag": 12, "lrt": 12, "hogg": [12, 19], "mckean": [12, 19], "reserv": 12, "draft": 12, "collaps": 12, "irreproduc": 12, "medic": 13, "blood": 13, "agricultur": 13, "phosphoru": 13, "plant": 13, "Its": 13, "stone": 13, "zeppo": 13, "curios": 13, "devis": 13, "set_frame_on": [13, 14], "get_yaxi": [13, 14], "get_xaxi": [13, 14], "hline": 13, "xmin": 13, "xmax": 13, "mu_0": 13, "sigma_0": 13, "ztesthyp": 13, "addition": [7, 13], "diagnost": [13, 15], "z_": [13, 14], "iteself": 13, "ztest1": 13, "ztest2": 13, "crit": 13, "p_lower": 13, "p_upper": 13, "hatch": 13, "ztest": 13, "644854": 13, "281552": 13, "959964": 13, "575829": 13, "326348": 13, "290527": 13, "090232": 13, "unnecessari": [13, 15], "sd_true": 13, "mu_nul": 13, "sem_tru": 13, "1242645786248002": 13, "z_score": 13, "259605535157681": 13, "normaldist": 13, "lower_area": 13, "011922871882469877": 13, "cumul": 13, "opaqu": 13, "becauw": 13, "upper_area": 13, "p_valu": 13, "023845743764939753": 13, "experimet": 13, "dreari": 13, "kingdom": 13, "unicorn": 13, "fairi": 13, "leprechaun": 13, "bereft": 13, "520614752375915": [], "ttesthyp_onesampl": 13, "axessubplot": [], "1908": [13, 19], "seali": 13, "gosset": 13, "student1908": [], "chemist": 13, "guin": 13, "breweri": 13, "box1987": [], "dim": 13, "employe": 13, "secret": 13, "pseudonym": 13, "accommod": [13, 17], "ttestdist": 13, "y_norm": 13, "y_t": 13, "se_est": 13, "flavor": [13, 20], "ttest_1samp": 13, "popmean": 13, "25471286700693": 13, "03614521878144544": 13, "overjoi": 13, "shorthand": [13, 16], "kinder": [13, 14], "confidence_level": 13, "degrees_freedom": 13, "sample_standard_error": 13, "confidence_interv": 13, "84421513791415": 13, "75578486208585": 13, "whew": 13, "compress": [13, 15], "ttest": [13, 14], "ci95": [13, 14, 15], "bf10": [13, 14, 15], "254713": 13, "036145": 13, "504169": 13, "571446": 13, "bay": [13, 14, 19], "harpo": 13, "tutor": 13, "anastasia": 13, "bernadett": 13, "n_1": [13, 14], "n_2": [13, 14], "harpo_summari": 13, "998942": 13, "055556": 13, "774918": 13, "harpohist": [], "ttestci": 13, "alloc": 13, "mu_1": 13, "mu_2": 13, "_1": [13, 14, 15], "_2": [13, 14, 15], "mu1": [13, 14], "sigma1": 13, "mu2": [13, 14], "x1": [13, 14], "line2d": [], "0x16225f820": [], "sigma_1": 13, "sigma_2": 13, "weigh": [13, 15], "w_1": 13, "w_2": 13, "2_p": [13, 16], "sigma_p": 13, "ugli": [13, 15, 16], "ik": [13, 14, 15], "_k": [13, 14, 15], "_p": [13, 16], "ttest_ind": 13, "unifi": 13, "sent": 13, "harpo_wid": 13, "duck": 13, "115432": 13, "042529": 13, "739561": 13, "755": 13, "53577": 13, "foolish": 13, "cleanli": 13, "testsm": 13, "overgeneralis": 13, "ttestoneassumpt": 13, "wilcox": 13, "homoscedast": [13, 14, 16], "leven": [13, 19], "crop": 13, "ttesthyp2": [], "ttesthyp": [], "diagnosi": [13, 19], "sigma2": 13, "0x162389810": [], "anasatasia": 13, "034187": 13, "024806": 13, "05361": 13, "556": 13, "054": [13, 16], "panic": 13, "sky": 13, "chico": 13, "challeng": [13, 14], "grade_test1": 13, "grade_test2": 13, "student1": 13, "student2": 13, "student3": 13, "student4": 13, "student5": 13, "980000": 13, "385000": 13, "616137": 13, "405612": 13, "900000": 13, "600000": 13, "700000": 13, "050000": 13, "pairedta": 13, "get_xlim": 13, "get_ylim": 13, "ls": 13, "set_text": 13, "9508686092602991": 13, "8591313907397005": 13, "i1": [13, 15], "i2": [13, 15], "d_": 13, "mu_d": 13, "sigma_d": 13, "475436": 13, "447952": 13, "5991": 13, "577": 13, "999984": 13, "215765": 13, "150446": 13, "0000032": 13, "018073": 13, "inf": 13, "701407": 13, "interestd": 13, "equal_var": [13, 14, 16], "ttest_indresult": 13, "11543239": 13, "04252949": 13, "02126474": 13, "97873526": 13, "substract": [13, 14], "subract": 13, "ttest_rel": 13, "ttest_relresult": [], "475436088339379": 13, "660335028063474e": 13, "9999983396649719": 13, "cohen1988": [], "wrinkl": 13, "defenc": 13, "nitpick": 13, "mcgrath2006": [], "accuraci": [13, 14], "delta": [13, 15, 16], "blindli": 13, "mu_o": 13, "5041691240370938": [], "hedg": [13, 14, 19], "hedges1981": [], "glass": [13, 19], "purer": 13, "hedges1985": [], "tutor1": 13, "tutor2": 13, "u1": 13, "u2": 13, "s1": [], "s2": [], "7395614040382655": [], "prime": [13, 14, 15, 17], "displaystyl": [13, 14, 15, 17], "7486295728919304": [], "_d": 13, "mean_diff": 13, "sd_diff": 13, "4855669223382983": [], "2213698410715347": [], "clt": [], "skew": [13, 15], "trigger": [13, 17], "probplot": 13, "seed": 13, "normal_data": 13, "hist": [13, 15], "qq_fig": 13, "departur": [13, 15], "qqskew": [], "qqheavi": [], "kurtosi": [13, 15], "skewed_data": 13, "qqskew_fig": 13, "heavy_tailed_data": 13, "qqheavy_fig": 13, "shapiro1965": [], "a_i": 13, "mumbl": [13, 15], "ars": 13, "swdist": [], "clump": 13, "shapiroresult": [13, 14], "9898834228515625": [], "6551706790924072": [], "nonparametr": [13, 14], "mann": 13, "whitnei": 13, "rdata": 13, "awesome2": 13, "score_a": 13, "score_b": 13, "datum": 13, "037109375": 13, "studentttest": [], "earth": 13, "bought": 13, "exot": 13, "nutrient": 13, "european": 13, "sheer": 13, "arrog": 13, "weaken": [13, 17], "nastier": 13, "delici": 13, "smoothi": 13, "mcnemar": [13, 19], "groucho": 13, "smirnov": 13, "kolomogorov": 13, "ow": 14, "tenuou": 14, "remaind": [7, 14], "antidepress": 14, "joyzepam": [14, 16], "undergo": 14, "cbt": [14, 16], "doubli": 14, "clintrial": [14, 16], "clin": 14, "groupbi": [14, 16], "agg": 14, "716667": 14, "483333": 14, "450000": 14, "moodgain": [], "mu_p": [14, 16], "induc": [14, 16], "mu_a": [14, 16], "mu_j": [14, 16], "pessimist": [14, 15], "n_k": 14, "fake": 14, "y_": [14, 16], "cosmet": 14, "y_p": [14, 16], "arbitrarili": [14, 17], "uncool": 14, "num": [7, 14], "ann": 14, "egg": [7, 14], "whoever": 14, "ss": [14, 15, 16], "tot": [14, 15], "_w": 14, "grand": [14, 16], "_b": [14, 16], "yai": 14, "mu3": 14, "x3": 14, "anovavar_fig": 14, "arrow": 14, "workabl": 14, "fiddl": 14, "lcl": 14, "ms": [14, 15, 16], "epsilon_": [14, 15, 16], "residu": 14, "leftov": [14, 16], "mu_k": 14, "epsilon": [14, 15], "ch": [], "hai": [14, 19], "1899": 14, "0025": 14, "0225": 14, "1225": 14, "0136": 14, "1003": 14, "2614": 14, "gp_mean": 14, "grouped_mean": 14, "group_mean": 14, "dev_from_group_mean": 14, "squared_dev": 14, "ipykernel_11188": [], "145942847": [], "futurewarn": 10, "numeric_onli": 14, "dataframegroupbi": [], "shut": 14, "sight": 14, "beer": 14, "fridg": 14, "telli": 14, "nest": [14, 15], "0144": 14, "2704": 14, "0064": 14, "0484": 14, "0324": 14, "2025": 14, "1444": 14, "2304": 14, "miniscul": 14, "ssw": 14, "3918000000000001": 14, "grand_mean": [14, 16], "dev_from_grandmean": 14, "xtab": 14, "group_siz": 14, "weighted_squared_dev": 14, "3421671601": [], "163333": 14, "026678": 14, "160067": 14, "603333": 14, "364011": 14, "184067": 14, "430000": 14, "184900": 14, "109400": 14, "ssb": 14, "453533333333334": 14, "slight": [14, 15], "painless": 14, "lclcl": 14, "lclclcl": 14, "woohooo": 14, "lookup": 14, "672726890401883e": 14, "0000867": 14, "f_onewai": 14, "lacon": 14, "anth": 14, "instantli": 14, "undersand": 14, "unsurprisingli": 14, "ol": [14, 15, 16], "aov_tabl": 14, "anova_lm": [14, 15, 16], "typ": 14, "sum_sq": 14, "pr": [14, 15, 16], "gt": [14, 15, 16], "453333": 14, "610778": 14, "000086": 14, "391667": [14, 16], "celebr": 14, "lm": 14, "implic": [14, 15], "bask": 14, "glori": 14, "unc": [14, 16], "np2": [14, 16], "726667": 14, "712762": 14, "092778": 14, "eta": [14, 16], "sstot": 14, "eta_squar": 14, "7127545404512933": 14, "competitor": 14, "fish": [14, 15], "expedit": [14, 15], "guidanc": 14, "latin": 14, "shaffer": [14, 19], "1995": [14, 17, 19], "simultan": 14, "hsu": [14, 19], "dunn": [14, 19], "1961": [14, 17, 19], "note7": [], "prime_j": 14, "pp": 14, "1979": [14, 15, 19], "sequenti": [14, 17, 19], "unchang": [14, 15, 16], "tripl": [14, 16], "prime_": 14, "020": [14, 15], "019": [14, 16], "022": 14, "044": 14, "outperform": [14, 15], "elabor": [14, 17], "padjust": [14, 15], "pairwise_ttest": [], "pairwise_test": 14, "_continuous_distn": [], "6832": [], "_nct_sf": [], "clip": [], "_boost": [], "nc": [], "6826": [], "_nct_cdf": [], "parametr": 14, "206222": 14, "001811": 14, "003621": 14, "947": 14, "241659": 14, "354183": 14, "205486": 14, "814": 14, "721696": 14, "168708": 14, "000030": 14, "000091": 14, "475": 14, "231": 14, "820482": 14, "unalt": 14, "lrcl": 14, "qq": [14, 15, 16], "shapiro": [14, 15, 16, 19], "wilk": [14, 15, 16, 19], "sigma_k": 14, "deadlin": 14, "skin": 14, "1960": [14, 19], "forsyth": [14, 19], "1974": [14, 15, 19], "nope": [14, 17], "drink": 14, "f_": [14, 16], "welch": [14, 19], "1951": [14, 19], "welch_anova": 14, "ddof1": 14, "ddof2": 14, "11th": 14, "april": 14, "2022": [14, 15], "resid": [14, 15, 16], "edifi": 14, "verg": 14, "qqplot": [14, 15, 16], "96019": 14, "605309": 14, "9601902365684509": 14, "6053088307380676": 14, "particuar": 14, "squint": [14, 15], "distringut": 14, "wilcoxon": 14, "1952": [14, 19], "rss": [14, 16], "sum_k": 14, "sum_i": [14, 15], "needlessli": 14, "jiggeri": 14, "pokeri": 14, "lord": 14, "dilig": [14, 17], "f_j": 14, "rename_axi": 14, "unique_valu": 14, "f_3": 14, "tcf": 14, "sum_j": 14, "reliev": 14, "existenti": 14, "horror": 14, "076": [14, 15], "002": 14, "708": 14, "096": [14, 16], "clinical_wid": [], "no_therapi": 14, "307": 14, "616": 14, "732": 14, "curious": 14, "3068": 14, "sahai": [14, 19], "ageel": [14, 19], "2000": [14, 19], "anova2": [], "alpha_k": 14, "stickler": 14, "discoveri": 14, "bonferrroni": 14, "bonf": [14, 15], "fancier": 15, "sleepycorrelation_fig": [], "sleepycorrel": 15, "secretli": 15, "sleep_regressions_1": 15, "smf": 15, "intercept": 15, "param": 15, "mx": 15, "decai": 15, "b_1": [15, 16], "b_0": [15, 16], "frilli": 15, "epsilon_i": 15, "sleep_regressions_2": 15, "_0": 15, "optim": 15, "hook": 15, "shortcut": 15, "lift": 15, "curve_fit": 15, "xdata": 15, "ydata": 15, "stolen": 15, "shamelessli": [15, 17], "phillip": 15, "53779773": 15, "func": 15, "initialparamet": 15, "fittedparamet": 15, "pcov": 15, "modelpredict": 15, "xmodel": 15, "ymodel": 15, "linexdata": 15, "lineydata": 15, "badparamet": 15, "badpredict": 15, "bad_xmodel": 15, "bad_ymodel": 15, "linear_regress": [15, 16], "mod1": 15, "coef": 15, "adj_r2": 15, "131": [10, 15], "caclul": 15, "modx": 15, "78": [10, 15], "scifi": 15, "b_2": [15, 16], "mulitipl": 15, "mod2": 15, "sleep_regressions_3d": 15, "3d": 15, "mpl_toolkit": 15, "mplot3d": 15, "axes3d": 15, "set_styl": 15, "whitegrid": 15, "add_subplot": 15, "111": [10, 15], "set_zlabel": 15, "lmm": 15, "plane": 15, "xs": 15, "tile": 15, "ys": 15, "zs": 15, "plot_surfac": 15, "scatter": 15, "angl": 15, "view_init": 15, "b_": 15, "y_pred": 15, "ss_resid": 15, "1838": 15, "7224883200004": 15, "forg": 15, "boldli": 15, "onward": 15, "ss_tot": [15, 16], "590000000002": 15, "hair": 15, "816101821524835": 15, "8161027191478786": 15, "yep": 15, "adj": 15, "incident": 15, "groan": 15, "sick": 15, "wholesal": 15, "df_": [15, 16], "tuesdai": [7, 15], "17th": 15, "omiss": 15, "worm": 15, "generaliz": 15, "residuals_": 15, "ss_re": [15, 16], "ss_mod": 15, "df_mod": 15, "df_model_": 15, "df_re": 15, "df_resid_": 15, "calucul": 15, "ms_mod": 15, "ms_re": [15, 16], "sf": 15, "215": 15, "2382865368443": 15, "1457300163209325e": 15, "regression_f": 15, "rl": 15, "sigma_b": 15, "812": 15, "revist": 15, "176426e": 15, "591e": 15, "85439996017091": 15, "hunt": 15, "parwis": 15, "hardlin": 15, "bonferroni": 15, "inflat": 15, "rcorr": 15, "628": 15, "903": 15, "566": 15, "098": 15, "panick": 15, "attain": 15, "strongest": 15, "cautiou": 15, "dan_sleep_standard": 15, "baby_sleep_standard": 15, "mod3": 15, "146": [], "relatiship": 15, "uncorrel": 15, "collinear": [], "screw": [15, 17], "adequaci": 15, "diagnos": 15, "ail": 15, "dispos": [7, 15], "revolv": 15, "studentis": 15, "gum": 15, "normalis": 15, "h_i": 15, "add_const": 15, "est": 15, "get_influ": 15, "res_standard": 15, "resid_studentized_intern": 15, "jackknif": 15, "nightmar": 15, "grumbl": 15, "sigma_": 15, "stud_r": 15, "outlier_test": 15, "student_resid": 15, "unadj_p": 15, "494821": 15, "621857": 15, "105570": 15, "271676": 15, "461729": 15, "645321": 15, "475346": 15, "635620": 15, "166721": 15, "867940": 15, "disproportion": 15, "junk": 15, "defect": 15, "ro": 15, "leverag": 15, "ascii_uppercas": 15, "constrain": [15, 16], "cook": 15, "d_i": 15, "ness": 15, "cooks_dist": 15, "df_cook": 15, "grai": 15, "prettifi": 15, "noterobust": [], "sw": 15, "veer": 15, "invok": 15, "standardized_residu": 15, "as_datafram": 15, "df_res_pr": 15, "pred": 15, "kung": 15, "fu": 15, "master": [7, 15], "tx": [15, 19], "regressor": 15, "downright": 15, "scari": 15, "footnot": 15, "christoph": 15, "nolan": 15, "vice": 15, "versa": 15, "fanat": 15, "h_": 15, "notabl": 16, "unbalanc": [], "mu_": 16, "marginalis": 16, "formul": 16, "presenc": 16, "model1": 16, "aov": [], "model2": 16, "4533": 16, "7267": 16, "7143": 16, "0000": [15, 16], "8409": 16, "4672": 16, "5816": 16, "0126": 16, "4170": 16, "2711": [15, 16], "1356": 16, "4898": 16, "1246": 16, "2933": 16, "6533": 16, "0544": 16, "uncorrect": [14, 16], "spoiler": 16, "f_a": 16, "_r": 16, "outset": 16, "evapor": 16, "sensat": 16, "urg": [16, 17], "rci": 16, "runn": 16, "ada84": 19, "reconsider": 19, "artifact": 19, "334": 19, "agr96": 19, "wilei": 19, "hoboken": 19, "nj": 19, "agr02": 19, "ans73": 19, "american": 19, "bhoconnell75": 19, "hammel": 19, "connel": 19, "graduat": 19, "erkelei": 19, "187": 19, "398": 19, "404": 19, "bf74": 19, "364": 19, "367": 19, "cs63": 19, "houghton": 19, "mifflin": 19, "boston": 19, "ma": 19, "csg63": 19, "donald": 19, "thoma": 19, "julian": 19, "nathaniel": 19, "lee": 19, "gage": 19, "coc54": 19, "annal": 19, "315": 19, "coh88": 19, "lawrenc": 19, "erlbaum": 19, "cramer46": 19, "princeton": 19, "dun61": 19, "ell10": 19, "meta": 19, "cambridg": 19, "ell02": 19, "michael": 19, "asia": 19, "1151": 19, "1172": 19, "ebp83": 19, "barston": 19, "pollard": 19, "syllogist": 19, "295": 19, "306": 19, "ehp11": 19, "hast": 19, "peacock": 19, "ed": 19, "fis22a": 19, "royal": 19, "societi": 19, "fis22b": 19, "transact": 19, "222": 19, "368": 19, "gs06": 19, "328": 19, "331": 19, "hay94": 19, "harcourt": 19, "fort": 19, "hmc05": 19, "saddl": 19, "river": 19, "6th": 19, "hol79": 19, "scandinavian": 19, "hot04": 19, "mcgraw": 19, "hsu96": 19, "chapman": 19, "hall": 19, "london": 19, "ioa05": 19, "plo": 19, "med": 19, "697": 19, "701": 19, "kuhbergerfs14": 19, "fritz": 19, "scherndl": 19, "kt73": 19, "review": [17, 19], "237": 19, "251": 19, "key23": 19, "monetari": 19, "reform": 19, "macmillan": 19, "kw52": 19, "kruskal": 19, "walli": 19, "criterion": [15, 17, 19], "583": 19, "621": 19, "lar78": 19, "253": 19, "263": 19, "leh11": 19, "erich": 19, "eyman": 19, "creation": 19, "springer": 19, "lev60": 19, "olkin": [13, 19], "editor": [17, 19], "honor": 19, "harold": 19, "hotel": 19, "278": 19, "292": 19, "stanford": 19, "palo": 19, "alto": 19, "ca": [15, 19], "mcn47": 19, "psychometrika": 19, "153": 19, "157": 19, "mee67": 19, "pea00": 19, "magazin": 19, "pfu11": 19, "mr": 19, "von": 19, "osten": 19, "henri": 19, "holt": 19, "sa00": 19, "birkhaus": 19, "sha95": 19, "annual": 19, "561": 19, "584": 19, "sr94": 19, "biometri": 19, "ste46": 19, "677": 19, "680": 19, "sti86": 19, "wel47": 19, "tudent": 19, "biometrika": 19, "wel51": 19, "330": 19, "336": [16, 19], "yat34": 19, "supplement": 19, "217": 19, "235": 19, "weed": 20, "fan": 20, "navarro": 20, "jasp": 20, "jamovi": 20, "concentr": 20, "textual": 20, "forego": 20, "emili": 20, "koth": 20, "bookdown": 20, "lsr": 20, "BY": 20, "sa": 20, "520614752375916": 13, "35771062": [], "58285649": [], "18124928": [], "87165345": [], "35333772": [], "10911366": [], "74155069": [], "42264458": [], "23268415": [], "35225702": [], "52313138690589": [], "853899344758702": [], "20058272908474": [], "413614195429187": [], "097231846958": [], "031852221261412": [], "127": [], "114": 10, "ipykernel_34445": 11, "ipykernel_34478": [], "stu08": 19, "harpohist_fig": 13, "keyerror": [], "3802": [], "get_loc": [], "3801": [], "_engin": [], "casted_kei": [], "3803": [], "err": 15, "pyx": [], "indexengin": [], "hashtable_class_help": [], "pxi": [], "5745": [], "hashtabl": [], "pyobjecthasht": [], "get_item": [], "5753": [], "3807": [], "3805": [], "nlevel": [], "3806": [], "_getitem_multilevel": [], "3808": [], "is_integ": [], "3809": [], "3804": [], "listlik": [], "_check_indexing_error": [], "invalidindexerror": [], "0x156c18e50": [], "0x156cb7810": [], "ipykernel_84993": [], "4098096105": [], "keyword": [7, 10], "wil": 10, "ttestresult": 13, "temporari": [], "silenc": [], "seterr": [], "0x17d0090d0": [], "0x17d172ed0": [], "ipykernel_85531": [], "0x16c414290": [], "0x16c45f190": [], "ipykernel_85703": [], "0x284edb310": [], "0x284e5e3d0": [], "ipykernel_89710": [], "0x14ebfded0": [], "0x14ed64490": [], "ipykernel_89872": [], "0x13dd593d0": [], "0x13ee113d0": [], "ipykernel_90047": [], "ttesthyp_fig": 13, "0x14f64d6d0": [], "ipykernel_90237": [], "ttesthyp2_fig": 13, "ipykernel_90482": [], "pairedta_fig": 13, "scat": 13, "terplot": 13, "ipykernel_90589": [], "mcgrath": [13, 19], "meyer": [13, 19], "5041691240370937": 13, "1985": [13, 19], "1981": [13, 19], "sp": 13, "v1": 13, "v2": 13, "cohensd": 13, "9898831844329834": 13, "6551515460014343": 13, "2812": [], "scalex": [], "scalei": [], "arg": [], "kwarg": [], "2810": [], "_copy_docstring_and_deprec": [], "2811": [], "gca": [], "2813": [], "2814": [], "_ax": [], "1690": [], "1688": [], "_get_lin": [], "1689": [], "add_lin": [], "1691": [], "1692": [], "_request_autoscale_view": [], "_base": [], "_axesbas": [], "2301": [], "get_clip_path": [], "2302": [], "set_clip_path": [], "_update_line_limit": [], "2305": [], "get_label": [], "2306": [], "set_label": [], "_child": [], "_children": [], "2327": [], "2323": [], "2324": [], "2325": [], "datalim": [], "2326": [], "get_path": [], "2328": [], "2329": [], "1029": [], "1027": [], "1028": [], "_invalidi": [], "_invalidx": [], "recach": [], "1030": [], "_path": [], "660": [], "661": [], "yconv": [], "convert_yunit": [], "_yorig": [], "_to_unmasked_float_arrai": [], "ravel": [], "663": [], "664": [], "cbook": [], "1335": [], "1333": [], "asarrai": [], "1334": [], "1965": [13, 19], "ipykernel_71101": [], "hed81": 19, "128": 19, "ho85": 19, "mm06": 19, "386": 19, "401": 19, "sw65": 19, "591": 19, "611": 19, "ipykernel_71350": [], "ipykernel_75354": [], "ipykernel_75478": [], "392003": 14, "213698": 14, "281069": 14, "ipykernel_77133": [], "moodgain_fig": [], "605305": [], "9601900577545166": [], "605305016040802": [], "ipykernel_83958": [], "ipykernel_84056": [], "ipykernel_84159": [], "ipykernel_84247": [], "ipykernel_84350": [], "ipykernel_84747": [], "ipykernel_84951": [], "ipykernel_85139": [], "ipykernel_85235": [], "ipykernel_85513": [], "ipykernel_85728": [], "ipykernel_85908": [], "multiindic": 14, "themeselv": 14, "monstros": [], "ipykernel_86606": [], "seper": 7, "ipykernel_96371": [], "counter": [7, 14], "trace": 14, "resus": 14, "ipykernel_96517": [], "hmmm": 14, "ipykernel_96643": [], "ipykernel_96780": [], "ipykernel_96890": [], "ipykernel_96995": [], "ipykernel_97175": [], "ipykernel_97355": [], "ipykernel_97449": [], "ipykernel_97593": [], "riski": 14, "fwer": 14, "alpha_": [], "hypothesistest": [], "cite": 15, "shaffer1995": [], "_correct": [], "comparisons_": [], "posthoc2": [], "hsu1996": [], "_bonferroni": [], "correction_": [], "dunn1961": [], "142625": 14, "99407947": 14, "antsi": 14, "skeptic": 14, "chair": 14, "infrastructur": 14, "erect": 14, "regain": 14, "somedai": 14, "kinda": 14, "innit": 14, "aplomb": 14, "23828653684436": [], "1457300163208854e": [], "147": [], "139": [], "hasattr": [], "cl": [], "_autogenerated_signatur": [], "subclass": [], "141": [], "142": 15, "inherit": 7, "143": [], "hierarchi": [], "144": [], "flag": [], "145": [], "148": [], "__name__": [], "149": 15, "__qualname__": [], "1227": [], "1228": [], "docstr": [], "signatur": [], "1229": [], "_update_set_signature_and_docstr": [], "1230": [], "_internal_upd": [], "normalize_kwarg": [], "1223": [], "1216": [], "1217": [], "1218": [], "prenorm": [], "1219": [], "1220": [], "1221": [], "maintain": 7, "backcompat": [], "1222": [], "_update_prop": [], "1224": [], "prop_nam": [], "1197": [], "prop": [], "errfmt": [], "1195": [], "getattr": [], "set_": [], "1196": [], "callabl": [], "1198": [], "1199": [], "ret": [], "1200": [], "1990": 15, "ce": 15, "shill": 15, "duplic": 15, "2d": 15, "my_sleep": 15, "my_grump": 15, "upcom": 15, "\u00e0dj_r2": 15, "statisticali": [], "0435": 15, "8161": 15, "8123": 15, "0864": 15, "9047": 15, "0559": 15, "1715": 15, "0158": 15, "7937": 15, "0022": 15, "0388": 15, "9691": 15, "1089": 15, "1132": 15, "sink": 15, "cutoff": 15, "moreso": 15, "y\u02c6i": [], "yi": [], "fitted_v_observ": 15, "640x480": [], "lowess": 15, "curvatur": 15, "breusch": [15, 19], "pagan": [15, 19], "cozi": 15, "lagrang": 15, "linearli": 15, "bptest": 15, "het_breuschpagan": 15, "exog": 15, "24191983926486693": [], "8860694728713404": [], "bp79": 19, "trevor": 19, "adrian": 19, "heteroscedast": [15, 19], "coeffici": [16, 19], "econometrica": 19, "econometr": 19, "1287": 19, "1294": 19, "4886831614554388": 15, "7832200556890354": 15, "assur": [15, 17], "9656": 15, "0409": 15, "4231": 15, "9301": 15, "0010": 15, "9502": 15, "5535": 15, "0487": 15, "8518": 15, "0105": 15, "5275": 15, "5485": 15, "summari": [], "dep": 15, "wed": [], "jun": [], "2023": 15, "15e": 15, "287": 15, "aic": 15, "581": 15, "bic": 15, "588": 15, "nonrobust": 15, "041": 15, "423": 15, "930": 15, "553": 15, "852": 15, "271": [15, 16], "039": 15, "969": 15, "527": 15, "549": 15, "omnibu": 15, "durbin": 15, "watson": 15, "743": 15, "jarqu": 15, "bera": 15, "jb": 15, "218": 15, "053": 15, "897": 15, "203": 15, "heteroskedast": [15, 19], "cov_typ": 15, "sandwich": 15, "hc1": 15, "201": 15, "78e": 15, "996": 15, "793": 15, "597": 15, "987": 15, "780": 15, "282": 15, "037": 15, "970": 15, "541": 15, "563": 15, "mmmm": 15, "smell": 15, "diag": 15, "1980": [15, 19], "june": 15, "vif": 15, "x_k": 15, "2_": 15, "b_k": 15, "variance_inflation_factor": 15, "listcomp": [], "960321": 15, "148528": 15, "658389": 15, "442617": 15, "015119": 15, "mighti": 15, "outliers_influ": 15, "784569": 15, "651038": 15, "residplot": 15, "line_kw": 15, "fri": [], "resid1": 15, "evenli": 15, "regressionn": 15, "p3": [15, 16], "mon": [], "jul": 15, "nonaddit": 15, "tukey1949on": 15, "fox2018r": 15, "nonlinear": 15, "mod_curve_check": 15, "540": 15, "642": 15, "027": 15, "979": 15, "819": 15, "878": 15, "958": 15, "867": 15, "494": 15, "522": 15, "603": 15, "773": [15, 19], "011": 15, "266": 15, "966": 15, "517": 15, "010": 15, "162": 15, "033": 15, "sdfsdafad": [], "cox": 15, "997024": 15, "626177": 15, "907817": 15, "103952": 15, "whi80": 19, "econometrika": 19, "838": 19, "logarithm": 15, "ln": 15, "boxcox": 15, "dan_sleep_transform": 15, "best_lambda": 15, "kdeplot": 15, "7912772737277842": 15, "997866": 15, "625397": 15, "895394": 15, "093393": 15, "989864": 15, "df_slplot": 15, "sqrt_abs_stand_r": 15, "sl": 15, "991": [], "989": [], "_pylab_help": [], "gcf": [], "destroy_fig": [], "990": [], "992": [], "discount": 15, "absorb": [15, 16], "ockham": 15, "razor": 15, "pithi": 15, "chuck": 15, "akaik": [15, 19], "2k": 15, "mod_ful": 15, "summai": 15, "811": 15, "42e": 15, "582": [15, 16], "2787": 15, "242": 15, "945": 15, "842": 15, "715": 15, "9693": 15, "081": 15, "858": 15, "0157": 15, "058": 15, "954": 15, "526": 15, "558": 15, "0044": 15, "015": 15, "288": 15, "774": 15, "035": 15, "026": 15, "599": 15, "741": 15, "898": 15, "441": 15, "wade": 15, "get_aic": 15, "model_nam": 15, "as_text": 15, "hairli": 15, "whitespac": 15, "mod_no_dai": 15, "mod_no_babi": 15, "mod_no_dan": 15, "710": 15, "579": 15, "747": 15, "inclin": 15, "seduct": 15, "inclus": 15, "nml": 15, "posterior": [15, 17], "ins": 15, "stepwis": 15, "narrowli": 15, "defeat": 15, "inexact": 15, "algorithm": 15, "differnc": 15, "tue": 15, "nuisanc": 15, "m1": [15, 16], "m0": [15, 16], "pigouin": 15, "dandi": 15, "ic": 15, "get_aic_b": 15, "empir": 15, "submodel": 15, "superscript": 15, "waaaaai": 15, "m_0": 15, "m_1": 15, "mo": 15, "df_resid": [15, 16], "ssr": [15, 16], "df_diff": [15, 16], "ss_diff": [15, 16], "1837": 15, "155916": 15, "092228": 15, "063688": 15, "003328": 15, "954116": 15, "hierarch": 15, "regressiondiagnost": [], "drug_mean": 16, "therapy_mean": 16, "ss_drug": 16, "ss_therapi": 16, "_a": 16, "_t": 16, "_m": 16, "845": 16, "9244": 16, "noisi": 16, "wall_color": 16, "xxxxxxx": [], "panel1": 16, "panel2": 16, "panel3": 16, "panel4": 16, "errorbar": [10, 16], "p4": 16, "ps": 16, "panelid": 16, "get_legend": 16, "horizontalalign": 16, "verticalalign": 16, "set_xticklabel": 16, "get_legend_handles_label": 16, "legend": 16, "ncol": 16, "avec": 16, "crossov": 16, "alpha_r": 16, "beta_c": 16, "awkwardli": 16, "_c": 16, "rearrang": 16, "eqnarrai": [], "align": [16, 17], "727": 16, "714": 16, "841": 16, "467": 16, "013": 16, "490": 16, "293": 16, "653": 16, "compris": 16, "phobia": 16, "desensitis": 16, "vs": 16, "wel": [], "eta_a": 16, "2_a": 16, "effsiz": 16, "7128": [], "0964": [], "0560": [], "713": 16, "056": 16, "unaccount": 16, "789": 16, "pacakg": 16, "09545": 16, "99123": 16, "qqnorm": [], "928816": 16, "185093": 16, "fussi": 16, "\u00eemagin": [], "jointli": 16, "decompos": 16, "r0": 16, "misguid": 17, "basicbay": [], "whybay": [], "bayesconting": [], "ttestbf": [], "bayesregress": [], "bayesanova": [], "umbrella": 17, "dry": 17, "mediterranean": 17, "southern": 17, "northern": 17, "africa": 17, "summer": 17, "wikipedia": 17, "rainfal": 17, "raini": 17, "climate_of_adelaid": 17, "045": 17, "0425": 17, "8075": 17, "0450": 17, "1050": 17, "0875": 17, "9125": 17, "d_1": 17, "d_2": 17, "h_2": 17, "d1": 17, "514": 17, "interfer": 17, "restat": 17, "learner": 17, "paradigm": 17, "flow": 17, "leap": 17, "lengthi": 17, "hphantom": [], "contrapt": 17, "plausibilti": 17, "ccccc": 17, "6pt": 17, "2pt": 17, "uparrow": 17, "bf": 17, "consider": 17, "jeffrei": [17, 19], "kass": [17, 19], "rafteri": [17, 19], "charit": 17, "upsid": 17, "inigo": 17, "montoya": 17, "princess": 17, "bride": 17, "forbidden": 17, "statstic": 17, "daili": [7, 17], "prei": 17, "newspol": 17, "2013": [17, 19], "emphasi": 17, "counterinuit": 17, "astrai": 17, "1925": [17, 19], "entitl": 17, "stringent": 17, "johnson2013": [], "threshold": 17, "stretch": 17, "portal": 17, "knowyourmem": 17, "meme": 17, "wiser": 17, "absurd": 17, "072": 17, "heard": 17, "fight": 17, "uphil": 17, "battl": 17, "career": 17, "suicid": 17, "academia": 17, "imdb": 17, "tt0093779": 17, "morei": 17, "steal": 17, "johnson": [17, 19], "enthusiast": 17, "budget": 17, "cost": 17, "kick": 17, "astoundingli": 17, "unaccept": 17, "lax": 17, "termin": [7, 17], "analyi": 17, "willpow": 17, "ineffici": 17, "balloon": 17, "extern": 17, "foolproof": 17, "whywhywhi": [], "fault": 17, "ambrosiu": 17, "macrobiu": 17, "quotationspag": 17, "ambrosius_macrobiu": 17, "sin": 17, "explictli": 17, "attack": 17, "straw": 17, "dial": 17, "vitriol": 17, "gear": 17, "supposedli": 17, "specul": 17, "gun": 17, "722": 17, "cdot": 9, "80042036": 9, "86043481": 9, "35375252": 9, "36144597": 9, "56924183": 9, "34600569": 9, "44885781": 9, "2415587": 9, "02471366": 9, "02290263": 9, "mathrm": 9, "3600096748558": [], "52992391769343": [], "7044051060008": [], "003466334432083": [], "77112912667978": [], "099208297733181": [], "notelawlargenumb": 10, "129": [], "aka74": 19, "ieee": 19, "716": 19, "723": 19, "fis25": 19, "oliv": 19, "boyd": 19, "edinburgh": 19, "jef61": 19, "oxford": 19, "joh13": 19, "valen": 19, "proceed": 19, "academi": 19, "19313": 19, "19317": 19, "kr95": 19, "robert": 19, "studio": 7, "extenst": 7, "expos": 7, "constantli": 7, "sugar": 7, "tea": 7, "coffe": 7, "spoon": 7, "bowl": 7, "pour": 7, "spoonful": 7, "bake": 7, "crack": 7, "yoke": 7, "swee": 7, "declar": 7, "sweet_enough": 7, "num_sugar_spoon": 7, "thrown": 7, "ingredi": 7, "flour": 7, "cinnamon": 7, "salt": 7, "powerful": 7, "colon": 7, "mandatori": 7, "flibbertigibbet": 7, "random_stuff": 7, "new_th": 7, "unsupport": 7, "operand": 7, "strng": 7, "wednesdai": 7, "encompass": 7, "thursdai": 7, "fridai": 7, "sundai": 7, "weekend": 7, "statment": 7, "perspicaci": 7, "letter_count": 7, "retyp": 7, "measure_word": 7, "precoci": 7, "IF": 7, "IT": 7, "WILL": 7, "tupl": 7, "first_lett": 7, "new_word": 7, "_if_": 7, "_you_": 7, "_say_": 7, "_it_": 7, "_loud_": 7, "_enough_": 7, "_will_": 7, "_always_": 7, "_sound_": 7, "_precocious_": 7, "dog": 7, "bunni": 7, "nihilist": 7, "NOT": 7, "new_numb": 7, "list_of_list": 7, "list_of_string_list": 7, "flattened_list": 7, "all_flow": 7, "begonia": 7, "lilac": 7, "rose": 7, "pansi": 7, "foxglov": 7, "buttercup": 7, "sunflow": 7, "b_flower": 7, "823452": 7, "4435": 7, "9070878072634": 7, "3421": 7, "4345": 7, "modulo": 7, "AND": 7, "baldfac": 7, "shebang": 7, "dunno": 7, "futz": 7, "sublist": 7, "paus": 7, "inst": 7, "untouch": 7, "check_first_lett": 7, "input_list": 7, "target_lett": 7, "output_list": 7, "food": 7, "pickl": 7, "beet": 7, "burger": 7, "chees": 7, "pepper": 7, "pizza": 7, "cardamom": 7, "cabbag": 7, "gerner": 7, "wheter": 7, "target": 7, "dilettant": 7, "stipul": 16, "model3": 16, "lump": 16, "formula1": 16, "formula3": [], "anovaresult": 16, "653333": 16, "738333": 16, "520408": 16, "024242": 16, "formula2": 16, "reassur": 16, "ss_res_nul": 16, "ss_res_ful": 16, "7383339999999999": 16, "ms_diff": 16, "f_stat": 16, "520414551231913": 16, "predictor1": 16, "predictor2": 16, "uglier": 16, "1p": 16, "2p": 16, "4356583710217": [], "797182424268012": [], "2154850507139": [], "4022151683824": [], "03319490190297": [], "054039128997667": [], "134": [], "02536241152112": [], "474882295087165": [], "08779941812442": [], "351776403288921": [], "01626459089115": [], "96223614291537": [], "124": [], "33971433769008": [], "655330245673708": [], "17861038487763": [], "712377772498066": [], "951064421052": [], "932120719256922": [], "262157162740991": 10, "ipykernel_63299": [], "4220361125": 10, "1339756836": 10, "3591514384": 10, "53960547224054": 10, "186167782018202": 10, "17191341063791": 10, "86103856998936": 10, "04894765095658": 10, "098657549401311": 10, "ipykernel_63592": 10}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"why": [0, 7, 17], "do": [0, 2, 12, 13], "we": [0, 16], "learn": [0, 8, 20], "statist": [0, 4, 8, 9, 10, 11, 12, 14, 17, 20], "On": [0, 8, 14], "psycholog": [0, 1], "The": [0, 1, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "curs": 0, "belief": [0, 17], "bia": [0, 1], "cautionari": 0, "tale": 0, "simpson": 0, "s": [0, 4, 9, 12, 13, 14], "paradox": 0, "everydai": 0, "life": [0, 4], "There": 0, "more": [0, 3, 5, 6], "research": [0, 1, 11], "method": [0, 3], "than": 0, "A": [1, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "brief": 1, "introduct": [1, 5, 9], "design": [1, 16], "measur": [1, 4], "some": [1, 6, 11], "thought": 1, "about": [1, 3, 17], "operationalis": 1, "defin": [1, 10], "your": [1, 6, 11], "scale": 1, "nomin": 1, "ordin": 1, "interv": [1, 10], "ratio": 1, "continu": [1, 12], "versu": [1, 11, 16], "discret": 1, "variabl": [1, 2, 3, 4, 6], "complex": [1, 5], "assess": 1, "reliabl": 1, "role": 1, "predictor": 1, "outcom": [1, 16], "experiment": 1, "non": [1, 13, 16], "valid": 1, "studi": [1, 11], "intern": 1, "extern": 1, "construct": [1, 12, 13, 17], "face": 1, "ecolog": 1, "confound": 1, "artifact": 1, "other": [1, 9, 17], "threat": 1, "histori": 1, "effect": [1, 11, 12, 13, 14, 16], "matur": 1, "repeat": 1, "test": [1, 11, 12, 13, 14, 15, 16, 17], "select": [1, 15], "differenti": 1, "attrit": 1, "respons": 1, "regress": [1, 15, 16, 17], "mean": [1, 4, 6, 9, 10, 13, 14, 17], "demand": 1, "reactiv": 1, "placebo": 1, "situat": 1, "subpopul": 1, "fraud": 1, "decept": 1, "self": 1, "summari": [1, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "get": [2, 4, 14], "start": [2, 3], "python": [2, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16, 20], "instal": [2, 3], "us": [2, 3, 4, 7, 9, 13, 17], "code": 2, "thi": [2, 3, 16, 17], "book": [2, 3], "type": [2, 3, 11, 16, 17], "command": 2, "consol": 2, "Be": 2, "veri": 2, "care": 2, "avoid": 2, "typo": 2, "teeni": 2, "bit": 2, "flexibl": 2, "space": 2, "simpl": [2, 10], "calcul": [2, 4, 10, 14, 15, 16], "ad": 2, "subtract": 2, "multipli": 2, "divid": 2, "take": 2, "power": [2, 11], "right": [2, 9], "order": 2, "store": 2, "number": [2, 10], "concept": 3, "comment": [3, 12], "import": 3, "what": [3, 4, 9, 13, 16, 17], "librari": 3, "doe": [3, 9, 10, 16], "how": [3, 9, 10, 12, 14], "i": [3, 16], "list": [3, 6, 7], "object": 3, "activ": 3, "memori": 3, "remov": [3, 14], "from": [3, 6, 10, 13, 14], "workspac": 3, "load": 3, "save": [3, 5], "data": [3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17], "filesystem": 3, "path": 3, "csv": 3, "file": [3, 5], "datafram": [3, 6], "thing": 3, "know": 3, "check": [3, 13, 14, 15, 16], "regular": 3, "collect": 3, "interg": 3, "float": 3, "string": 3, "argument": 3, "find": [3, 17], "length": 3, "tupl": 3, "dictionari": 3, "combin": 3, "set": [3, 14, 16], "dynam": 3, "index": 3, "slice": [3, 6], "singl": [3, 4, 15], "valu": [3, 4, 11, 13, 15, 17], "rang": [3, 4], "between": [3, 11, 14, 15, 16], "end": 3, "nth": 3, "posit": [3, 13], "everi": 3, "item": [3, 6], "within": 3, "descript": 4, "central": [4, 10], "tendenc": 4, "median": 4, "differ": [4, 7, 9, 11, 12, 13, 16], "real": 4, "exampl": [4, 13, 14], "trim": 4, "mode": 4, "interquartil": 4, "absolut": 4, "deviat": [4, 10, 13], "varianc": [4, 14, 15, 16], "standard": [4, 10, 13, 16, 17], "which": 4, "skew": 4, "kurtosi": 4, "an": [4, 5, 14, 15, 16], "overal": 4, "describ": [4, 13], "frame": [4, 6], "score": 4, "correl": [4, 15], "strength": 4, "direct": 4, "relationship": [4, 14, 15], "coeffici": [4, 15], "interpret": [4, 10, 15, 16, 17], "handl": 4, "miss": 4, "case": [4, 15], "pairwis": [4, 14, 15], "epilogu": [4, 18], "good": [4, 12], "ar": [4, 9, 10, 16], "draw": 5, "graph": 5, "overview": 5, "graphic": 5, "plot": [5, 10, 13], "littl": 5, "color": 5, "titl": 5, "axi": 5, "label": 5, "font": 5, "size": [5, 11, 12, 13, 14, 16], "relat": 5, "matter": [5, 10], "open": 5, "box": 5, "histogram": 5, "boxplot": 5, "multipl": [5, 6, 14, 15], "altern": [5, 11, 12], "word": 5, "caution": 5, "violin": 5, "scatterplot": 5, "bar": 5, "imag": 5, "enough": 5, "now": 5, "wrangl": 6, "pull": 6, "out": 6, "content": 6, "tip": 6, "road": 6, "tabul": 6, "cross": 6, "convert": 6, "tabl": [6, 17], "count": [6, 16], "proport": 6, "transform": 6, "recod": 6, "creat": 6, "cut": 6, "numer": 6, "categori": [6, 16], "few": 6, "mathemat": 6, "function": [6, 7, 11, 15], "oper": 6, "round": 6, "row": 6, "wise": 6, "dice": 6, "pop": 6, "extract": [6, 17], "subset": 6, "sort": 6, "flip": 6, "merg": 6, "column": 6, "largest": 6, "smallest": 6, "transpos": 6, "join": 6, "concaten": 6, "reshap": 6, "wide": 6, "long": 6, "format": 6, "basic": [7, 9], "program": 7, "script": 7, "loop": 7, "condit": 7, "statement": 7, "comprehens": 7, "kind": [7, 15, 16], "nest": 7, "abstract": 7, "gener": [7, 15], "theori": [8, 9, 17], "limit": [8, 10], "logic": [8, 14], "reason": [8, 17], "without": 8, "make": [8, 11], "assumpt": [8, 12, 13, 14, 15, 16], "myth": 8, "probabl": [9, 11, 17], "frequentist": [9, 11], "view": [9, 11], "bayesian": [9, 11, 17], "And": 9, "who": 9, "introduc": [9, 13], "distribut": [9, 10, 11, 12], "binomi": 9, "work": [9, 13, 14], "normal": [9, 13, 14, 15, 16], "densiti": 9, "estim": [10, 13, 15], "unknown": 10, "quantiti": 10, "sampl": [10, 11, 12, 13, 17], "popul": 10, "random": 10, "most": 10, "much": 10, "you": [10, 14, 17], "don": 10, "t": [10, 13, 14, 17], "have": 10, "paramet": [10, 16], "law": 10, "larg": 10, "theorem": 10, "exist": [10, 16], "ani": 10, "confid": 10, "slight": 10, "mistak": [10, 11], "formula": [10, 14, 15], "hypothesi": [11, 12, 13, 15, 17], "menageri": 11, "hypothes": [11, 16], "null": [11, 12], "two": [11, 13, 14, 15, 16], "error": 11, "decis": 11, "critic": 11, "region": 11, "note": 11, "signific": [11, 15], "one": [11, 13, 14, 16], "side": [11, 13], "p": [11, 17], "softer": 11, "extrem": 11, "common": 11, "report": [11, 12], "result": [11, 12, 16, 17], "issu": 11, "propos": 11, "solut": 11, "run": [11, 14, 16], "practic": 11, "increas": 11, "consid": 11, "neyman": 11, "fisher": [11, 12], "trap": 11, "categor": 12, "analysi": [12, 16, 17], "chi": 12, "2": [12, 15], "fit": [12, 15], "card": 12, "gof": 12, "advanc": [12, 14], "specifi": [12, 16], "notat": 12, "independ": [12, 13, 17], "associ": 12, "our": [12, 16], "scipi": 12, "stat": 12, "pingouin": 12, "postscript": [12, 16], "correct": [12, 14], "exact": 12, "mcnemar": 12, "compar": [13, 14, 15, 16], "z": 13, "infer": 13, "problem": 13, "address": 13, "student": [13, 14], "pool": 13, "same": 13, "complet": 13, "neg": 13, "welch": 13, "pair": [13, 17], "One": 13, "cohen": 13, "d": 13, "qq": 13, "shapiro": 13, "wilk": 13, "wilcoxon": 13, "sever": 14, "wai": [14, 16], "anova": [14, 16, 17], "illustr": 14, "y": 14, "sum": [14, 16], "squar": [14, 16], "f": [14, 15, 16], "model": [14, 15, 16, 17], "comparison": [14, 16], "post": [14, 16], "hoc": [14, 16], "bonferroni": 14, "holm": 14, "write": [14, 17], "up": [14, 17], "robust": 14, "homogen": [14, 15, 16], "leven": [14, 16], "behind": 14, "kruskal": 14, "walli": 14, "addit": [14, 16], "detail": 14, "linear": [15, 16], "warn": 15, "quantifi": 15, "r": 15, "adjust": 15, "whole": 15, "individu": 15, "all": [15, 17], "standardis": 15, "three": 15, "residu": [15, 16], "anomal": 15, "factori": 16, "1": [], "balanc": 16, "interact": 16, "refer": 19, "mad": 14, "collinear": 15, "backward": 15, "elimin": 15, "caveat": 15, "degre": 16, "freedom": 16, "captur": 16, "allow": [], "exactli": 16, "main": 16, "chang": 16, "baselin": 16, "equival": 16, "binari": 16, "factor": [16, 17], "contrast": 16, "treatment": 16, "helmert": 16, "zero": 16, "unbalanc": 16, "coffe": 16, "iii": 16, "ii": [16, 17], "probabilist": 17, "ration": 17, "agent": 17, "likelihood": 17, "joint": 17, "updat": 17, "bay": 17, "rule": 17, "think": 17, "thei": 17, "evidentiari": 17, "can": 17, "believ": 17, "Is": 17, "realli": 17, "bad": 17, "conting": 17, "orthodox": 17, "text": 17, "plan": 17, "quick": 17, "refresh": 17, "version": 17, "best": 17, "includ": 17, "term": 17, "prior": 17, "befor": 17, "lie": 17, "while": 7, "syntax": 7, "pattern": 7}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 56}})
\ No newline at end of file
+Search.setIndex({"docnames": ["01.01-intro", "01.02-studydesign", "02.01-getting_started_with_python", "02.02-more_python_concepts", "03.01-descriptives", "03.02-drawing_graphs", "03.03-pragmatic_matters", "03.04-basic_programming", "04.01-intro-to-probability", "04.02-probability", "04.03-estimation", "04.04-hypothesis-testing", "05.01-chisquare", "05.02-ttest", "05.03-anova", "05.04-regression", "05.05-anova2", "06.01-bayes", "06.02-epilogue", "bibliography", "landingpage"], "filenames": ["01.01-intro.ipynb", "01.02-studydesign.ipynb", "02.01-getting_started_with_python.ipynb", "02.02-more_python_concepts.ipynb", "03.01-descriptives.ipynb", "03.02-drawing_graphs.ipynb", "03.03-pragmatic_matters.ipynb", "03.04-basic_programming.ipynb", "04.01-intro-to-probability.ipynb", "04.02-probability.ipynb", "04.03-estimation.ipynb", "04.04-hypothesis-testing.ipynb", "05.01-chisquare.ipynb", "05.02-ttest.ipynb", "05.03-anova.ipynb", "05.04-regression.ipynb", "05.05-anova2.ipynb", "06.01-bayes.ipynb", "06.02-epilogue.ipynb", "bibliography.md", "landingpage.md"], "titles": ["1. Why do we learn statistics?", "2. A brief introduction to research design", "3. Getting Started with Python", "4. More Python Concepts", "5. Descriptive statistics", "6. Drawing Graphs", "7. Data Wrangling", "8. Basic Programming", "9. Statistical theory", "10. Introduction to Probability", "11. Estimating unknown quantities from a sample", "12. Hypothesis Testing", "13. Categorical data analysis", "14. Comparing Two Means", "15. Comparing several means (one-way ANOVA)", "16. Linear regression", "17. Factorial ANOVA", "18. Bayesian Statistics", "19. Epilogue", "20. References", "Learning Statistics with Python"], "terms": {"thou": 0, "shalt": 0, "answer": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "questionnair": [0, 1, 4, 9], "Or": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "quizz": [0, 12], "upon": [0, 1, 5, 10, 11, 14, 17], "world": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "affair": [0, 1, 10], "nor": [0, 1, 9, 11, 16, 17], "complianc": 0, "take": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "ani": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "test": [0, 4, 6, 8, 9, 10, 19], "sit": [0, 1, 3, 4, 6, 7, 9, 10, 11], "With": [0, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "statistician": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "commit": [0, 14, 20], "w": [0, 3, 7, 8, 13, 14, 15, 16, 19], "h": [0, 3, 9, 12, 14, 15, 17, 19], "auden": 0, "1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "To": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "surpris": [0, 1, 2, 3, 4, 5, 9, 11, 12, 13, 14, 15, 16, 17], "mani": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "student": [0, 1, 2, 3, 4, 10, 11, 12, 15, 16, 17, 19, 20], "fairli": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "signific": [0, 12, 13, 14, 16, 17, 19], "part": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "educ": [0, 1, 2, 10, 11, 15, 19], "one": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 15, 17, 19], "veri": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "rare": [0, 1, 3, 4, 10, 11, 13, 16], "favourit": [0, 1, 13], "after": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "all": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16], "you": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15, 16], "realli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "love": [0, 1, 2, 3, 4, 5, 9, 11, 15, 20], "idea": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "d": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 19], "probabl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15, 16, 19, 20], "enrol": [0, 1, 9, 10], "class": [0, 1, 2, 3, 4, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "right": [0, 1, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "now": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "so": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "surprisingli": [0, 1, 2, 4, 10, 11, 12, 13, 14, 15, 16, 17], "pretti": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "larg": [0, 1, 4, 5, 6, 9, 11, 12, 13, 14, 15, 16, 17], "proport": [0, 1, 4, 9, 11, 12, 14, 15, 16, 17, 19], "base": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "isn": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "t": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 15, 16, 19, 20], "happi": [0, 5, 9, 11, 12, 13, 14, 17], "about": [0, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "fact": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "ha": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "much": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 20], "In": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "view": [0, 1, 5, 6, 10, 13, 14, 15, 16, 17], "thi": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 20], "i": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20], "thought": [0, 2, 3, 4, 6, 9, 10, 11, 12, 13, 17], "place": [0, 1, 2, 3, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17], "start": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "might": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "some": [0, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 19], "common": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 17], "question": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "peopl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "have": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20], "stat": [0, 1, 2, 4, 9, 10, 11, 13, 14, 15, 16, 17, 20], "A": [0, 2, 8, 9, 19], "big": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "issu": [0, 1, 3, 4, 5, 6, 8, 10, 12, 15, 16], "hand": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "relat": [0, 1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "what": [0, 1, 2, 5, 6, 7, 8, 10, 11, 12, 14, 15, 20], "And": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "ar": [0, 1, 2, 3, 5, 6, 7, 8, 11, 12, 13, 14, 15, 17, 19], "scientist": [0, 1, 3, 4, 10, 11, 12, 13, 17], "bloodi": [0, 1, 10, 13, 14, 17], "obsess": [0, 11], "These": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "good": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19], "when": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "think": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "let": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "last": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "As": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "group": [0, 1, 3, 4, 6, 10, 11, 12, 13, 14, 16, 17], "seem": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bizarr": [0, 1], "fixat": 0, "run": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 15, 17], "everyth": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "us": [0, 1, 5, 6, 8, 10, 11, 12, 14, 15, 16, 19, 20], "often": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sometim": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "forget": [0, 1, 2, 3, 4, 5, 6, 9, 17], "explain": [0, 1, 2, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "It": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "kind": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 17, 20], "articl": [0, 1, 4, 9, 12], "faith": [0, 1, 2, 4, 12, 16, 17], "among": [0, 1, 3, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "especi": [0, 1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15], "social": [0, 1, 2, 6, 10], "your": [0, 2, 3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "find": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "can": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "trust": [0, 1, 3, 6, 7, 9, 13, 14, 15], "until": [0, 2, 3, 5, 6, 7, 9, 10, 13, 14, 15, 17], "ve": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "done": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "undergradu": [0, 1, 9, 10, 15, 17], "forgiven": [0, 16], "re": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "complet": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 16, 17, 19], "mad": [0, 1, 4, 11, 15], "becaus": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "time": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "simpl": [0, 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 19], "don": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "just": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "sens": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "naiv": [0, 1, 17], "wai": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17, 20], "most": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17, 19, 20], "lot": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "2": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 16, 17, 19], "my": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "monei": [0, 2, 10, 11, 14, 15], "best": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15], "ourselv": [0, 1, 3, 4, 5, 7, 9, 10, 11, 13, 14, 15, 16, 17], "enough": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "worri": [0, 1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "human": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 17, 19], "suscept": 0, "bias": [0, 8, 10, 11, 13], "temptat": [0, 11, 17], "frailti": [0, 17], "suffer": [0, 11, 14], "from": [0, 1, 2, 4, 5, 7, 8, 9, 11, 12, 15, 16, 17, 19, 20], "basic": [0, 1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "safeguard": 0, "evalu": [0, 2, 4, 15], "evid": [0, 1, 5, 8, 10, 11, 12, 13, 14, 15, 16, 17, 19], "mean": [0, 2, 3, 5, 7, 8, 11, 12, 15, 16, 19], "gut": [0, 5, 11], "instinct": [0, 10, 15], "reli": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "verbal": [0, 1], "argument": [0, 1, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "raw": [0, 1, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "power": [0, 1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "reason": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "come": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "up": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16], "approach": [0, 1, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20], "like": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "work": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 15, 16, 17, 20], "sound": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 14, 15, 17], "me": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sinc": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "depart": [0, 13], "dig": [0, 1, 3, 5, 9, 13, 15, 16], "littl": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "deeper": [0, 1, 3, 11, 14], "here": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "Is": [0, 1, 3, 4, 5, 6, 8, 13, 16], "plausibl": [0, 8, 9, 10, 13, 17], "trustworthi": [0, 1, 4, 12, 13, 15], "construct": [0, 4, 6, 9, 10, 11, 14, 15, 16], "languag": [0, 2, 3, 4, 5, 7, 9, 11, 12, 13, 14, 17], "thing": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "harder": [0, 1, 2, 13, 14, 15], "sai": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "other": [0, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16], "necessarili": [0, 1, 4, 6, 7, 8, 9, 11, 13, 14, 15, 16], "thei": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "fals": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "e": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "g": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "quantum": 0, "electrodynam": 0, "theori": [0, 4, 6, 10, 11, 12, 13, 14, 15, 16, 19], "hard": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "word": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "our": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17], "aren": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "design": [0, 3, 5, 9, 10, 11, 12, 13, 14, 15, 17, 19], "solv": [0, 1, 2, 3, 4, 5, 6, 7, 11, 12, 13, 14, 15, 17], "scientif": [0, 1, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "problem": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17, 19, 20], "handl": [0, 1, 2, 5, 6, 7, 10, 12, 13, 14, 15, 16, 17], "dai": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "infer": [0, 4, 8, 9, 10, 14, 15, 16, 17], "given": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "biolog": [0, 10, 19], "evolut": 0, "slower": [0, 20], "cultur": 0, "chang": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "should": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "differ": [0, 1, 2, 3, 5, 6, 8, 10, 14, 15, 17, 19], "live": [0, 1, 2, 4, 10, 11, 12, 13, 17], "fundament": [0, 1, 4, 9, 11, 13, 14, 15, 16, 17], "sensibl": [0, 1, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "requir": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "engag": [0, 1, 7], "induct": [0, 8, 10, 11], "make": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "wise": [0, 12, 14, 15, 17], "guess": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "go": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "beyond": [0, 1, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "immedi": [0, 3, 4, 7, 10, 14, 16], "generalis": [0, 1, 4, 10, 15, 16], "If": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "without": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 17], "being": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "influenc": [0, 1, 2, 4, 6, 11, 14, 15, 16], "variou": [0, 2, 3, 7, 11, 15, 16, 17], "distractor": 0, "well": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bridg": 0, "brooklyn": 0, "sell": [0, 2], "heck": [0, 4, 13], "next": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "section": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "show": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "even": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "deduct": [0, 8], "ones": [0, 1, 3, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "where": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "pre": [0, 1, 17], "exist": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "mostli": [0, 1, 3, 4, 5, 7, 9, 13, 14], "smart": [0, 1, 2, 7, 13], "certainli": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 16], "smarter": [0, 1], "speci": [0, 3, 12, 17], "share": [0, 1, 5, 6, 7, 9, 10], "planet": [0, 12], "though": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "disagre": [0, 1, 6, 11, 19], "mind": [0, 1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "quit": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "amaz": [0, 8, 9, 12], "capabl": 0, "incred": [0, 1, 5, 13, 15, 17], "feat": [0, 1], "That": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "doesn": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "perfect": [0, 1, 4, 5, 10, 11, 12, 13, 14, 15], "psychologist": [0, 1, 8, 9, 10, 11, 13, 14, 17], "shown": [0, 1, 2, 4, 7, 9, 10, 11, 13, 14, 15, 16, 17], "over": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "year": [0, 1, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 17], "neutral": [0, 11], "imparti": [0, 1], "swai": 0, "exampl": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 15, 16, 17], "effect": [0, 2, 3, 4, 5, 6, 7, 9, 10, 15, 17, 19], "logic": [0, 1, 4, 6, 7, 11, 15, 16, 17, 19], "ask": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "decid": [0, 2, 3, 5, 9, 10, 11, 13, 14, 15, 17], "whether": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "particular": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "valid": [0, 14, 15, 16, 17], "conclus": [0, 1, 8, 10, 13, 14, 16, 17], "would": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "true": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "premis": 0, "were": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tend": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 17], "believ": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15], "shouldn": [0, 1, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16], "For": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "instanc": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "No": [0, 1, 4, 8, 9, 10, 11, 12, 13, 14, 15, 17], "cigarett": [0, 1], "inexpens": 0, "addict": 0, "therefor": [0, 1, 2, 3, 5, 8, 10, 11, 12, 13, 14, 15, 16, 17], "structur": [0, 1, 3, 5, 6, 7, 11, 12, 13, 14, 16], "ident": [0, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "both": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "howev": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "second": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "incorrect": [0, 4, 9, 10, 17], "result": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 19], "case": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19], "also": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "But": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "entir": [0, 1, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "irrelev": [0, 5, 9, 14, 15, 16], "topic": [0, 1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "an": [0, 1, 2, 3, 6, 7, 8, 9, 10, 11, 12, 13, 17, 19, 20], "consequ": [0, 1, 2, 4, 5, 8, 10, 11, 12, 13, 14, 16, 17], "involv": [0, 1, 2, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 19], "statement": [0, 1, 2, 3, 4, 9, 10, 11, 14, 16, 17], "invalid": [0, 1, 6], "final": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unbeliev": 0, "suppos": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "perfectli": [0, 1, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "abl": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "set": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 17], "asid": [0, 1, 2, 3, 10, 11, 12], "pure": [0, 1, 4, 7, 9, 10, 11, 12, 13, 14], "its": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "merit": [0, 1, 13], "expect": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "100": [0, 1, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15], "0": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "ran": [0, 10, 11, 12, 13, 14, 15, 16, 17], "experi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "look": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "see": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "data": [0, 1, 2, 7, 8, 9, 10, 19], "feel": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "approxim": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "safe": [0, 1, 2, 3, 5, 11, 13, 14, 16], "okai": [0, 1, 2, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bother": [0, 4, 7, 11, 12, 13, 14, 15, 17], "murki": 0, "stuff": [0, 1, 2, 3, 4, 7, 10, 11, 12, 14], "gui": [0, 13], "taken": [0, 2, 3, 4, 6, 7, 9, 11, 12, 14, 15, 16, 17], "psych": [0, 1, 13], "know": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "classic": [0, 1, 4, 5, 16, 17, 19], "studi": [0, 2, 4, 5, 6, 10, 12, 13, 14, 15, 16, 17, 19], "evan": [0, 9, 19], "et": [0, 1, 6, 9, 19], "al": [0, 1, 9, 19], "1983": [0, 19], "exactli": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "found": [0, 1, 3, 9, 10, 11, 12, 14, 15, 16, 17], "agreement": [0, 6, 15], "went": [0, 1, 4, 5, 7, 14, 15], "hope": [0, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "92": [0, 4, 5, 10, 12, 15, 16], "8": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "Not": [0, 1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "happen": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "intuit": [0, 1, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "truth": [0, 1, 2, 4, 8, 9, 10, 14, 15, 17], "against": [0, 4, 5, 6, 8, 12, 13, 14, 15, 16, 17], "46": [0, 4, 19], "oh": [0, 7, 8, 9, 12, 13, 14, 15], "dear": [0, 14], "appar": [0, 1, 5, 12, 13, 16], "present": [0, 1, 2, 4, 5, 10, 15, 16, 17], "strong": [0, 1, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15, 17], "contradict": 0, "perceiv": [0, 7], "onli": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "did": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "wors": [0, 1, 3, 4, 11, 13, 15, 17], "weak": [0, 2, 4, 5, 11, 12, 13, 15, 17], "agre": [0, 1, 4, 6, 8, 9, 11, 12, 17], "almost": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "got": [0, 1, 2, 3, 4, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "wrong": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "3": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "horribl": [0, 1, 5, 17], "damn": [0, 15], "overal": [0, 5, 10, 11, 13, 14, 15, 16], "better": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 20], "chanc": [0, 1, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "compens": 0, "prior": 0, "60": [0, 4, 5, 6, 9, 11, 12, 13, 14, 15, 16, 19], "judgement": 0, "correct": [0, 1, 2, 4, 7, 8, 9, 10, 11, 13, 15, 16, 17], "50": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 16, 17, 19], "profession": [0, 1], "someon": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16], "came": [0, 4, 5, 6, 8, 9, 10, 11, 12, 14], "along": [0, 2, 4, 5, 7, 11, 13, 14, 15, 16, 20], "offer": [0, 2, 4, 9, 10, 11, 12, 16], "magic": [0, 1, 3, 4, 7, 10, 11, 12, 13, 14, 15, 17], "tool": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "improv": [0, 1, 4, 13, 14, 15, 16], "decis": [0, 5, 6, 9, 12, 17], "95": [0, 4, 9, 10, 12, 13, 14, 15, 17], "jump": [0, 3, 4, 6, 12, 13, 17], "Of": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cours": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "thankfulli": 0, "actual": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "too": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "easi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "want": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "instead": [0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "need": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "bit": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "help": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "keep": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "person": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "under": [0, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "control": [0, 1, 5, 6, 11, 13, 14, 15, 16, 17, 19], "doe": [0, 1, 2, 4, 5, 6, 7, 8, 11, 12, 13, 14, 15, 17], "honest": [0, 1, 3, 4, 5, 9, 11, 12, 13, 17], "follow": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "stori": [0, 1, 2, 4, 6, 9, 10, 11, 12, 13, 14, 16, 17], "1973": [0, 1, 4, 12, 19], "univers": [0, 1, 9, 10, 12, 13, 14, 19], "california": [0, 17], "berkelei": 0, "had": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "admiss": [0, 19], "postgradu": [0, 13], "specif": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "caus": [0, 1, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "wa": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gender": [0, 1, 6, 16], "breakdown": [0, 9, 10], "which": [0, 1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "number": [0, 1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17, 19], "applic": [0, 2, 5, 9, 10, 11], "percent": [0, 12, 17], "admit": [0, 7, 8, 11, 13, 14], "male": [0, 1, 6, 10, 11], "8442": 0, "44": [0, 12, 13, 17], "femal": [0, 1, 6, 10, 11], "4321": 0, "35": [0, 1, 4, 5, 12, 13, 14, 15, 19], "su": 0, "4": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "nearli": [0, 6, 7, 10, 14, 16], "13": [0, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "000": [0, 4, 10, 11, 13, 15, 16], "9": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "rate": [0, 1, 4, 11, 12, 13, 14, 15, 16, 17], "between": [0, 1, 4, 5, 6, 7, 8, 9, 10, 12, 13, 17, 19], "coincid": [0, 4, 11], "compel": [0, 15, 17], "reflect": [0, 1, 4, 6, 9, 10, 11, 13, 14, 16, 17], "favour": [0, 2, 4, 8, 11, 12, 17], "women": 0, "sort": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "either": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "crazi": [0, 9], "sexist": 0, "oddli": [0, 3, 12], "carefulli": [0, 1, 4, 12, 13, 14, 15, 16], "told": [0, 3, 4, 5, 7, 8, 9, 11, 12, 14, 17], "rather": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "bickel": [0, 19], "1975": [0, 6, 19], "basi": [0, 1, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "turn": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "out": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "slightli": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "higher": [0, 1, 4, 11, 13], "success": [0, 4, 9, 11], "fig": [0, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "figur": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20], "six": [0, 4, 7, 8, 9, 14], "largest": [0, 1, 4, 5, 10, 14, 15], "name": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "remov": [0, 4, 5, 6, 9, 10, 11, 13, 15, 16], "privaci": 0, "myst_nb": [0, 11, 12, 13, 14, 15, 16], "import": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glue": [0, 2, 4, 9, 11, 12, 13, 14, 15, 16], "panda": [0, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "pd": [0, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "b": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "c": [0, 3, 4, 5, 7, 8, 9, 10, 12, 13, 15, 16, 19], "f": [0, 3, 9, 10, 12, 13, 19, 20], "825": [0, 15], "560": [0, 15], "325": 0, "417": [0, 16], "191": 0, "272": 0, "62": [0, 4, 11, 13], "63": [0, 4, 9, 13, 15], "37": [0, 4, 6, 9], "33": [0, 1, 4, 5, 6, 11, 13], "28": [0, 4, 5, 12, 15, 19], "6": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "108": [0, 5, 10], "25": [0, 2, 4, 5, 6, 10, 11, 12, 13, 14, 15, 17], "593": [0, 6, 15], "375": 0, "393": 0, "341": 0, "82": [0, 3, 4, 5, 10, 15], "68": [0, 4, 5, 9, 10, 13, 15], "34": [0, 3, 6, 7, 9, 10, 15, 19], "24": [0, 1, 3, 4, 5, 6, 9, 10, 13, 14, 15], "7": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "df": [0, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 17], "datafram": [0, 4, 5, 9, 10, 12, 13, 14, 15, 16], "berklei": 0, "tabl": [0, 1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 19], "displai": [0, 1, 4, 5, 9, 10, 13, 14, 15, 16], "5": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "remark": [0, 3, 8, 9, 10, 12, 17], "yet": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "across": [0, 1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "lower": [0, 3, 4, 7, 10, 11, 13, 14, 15, 17], "how": [0, 1, 2, 4, 5, 6, 7, 8, 11, 13, 15, 16, 17, 20], "same": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "firstli": [0, 1, 2, 4, 5, 6, 8, 9, 10, 11, 13, 14, 15, 16], "notic": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "equal": [0, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "anoth": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "term": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "percentag": [0, 4, 9, 19], "engin": [0, 1, 4], "chemistri": 0, "high": [0, 1, 2, 4, 5, 9, 10, 11, 13, 15], "qualifi": [0, 5], "wherea": [0, 1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "english": [0, 7, 9, 11, 12, 14, 16], "reject": [0, 4, 8, 11, 12, 13, 14, 15, 17, 19], "candid": [0, 5, 17], "qualiti": [0, 5, 12, 15], "abov": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gener": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 16, 17, 19], "order": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "appli": [0, 1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "rank": [0, 4, 14, 19], "total": [0, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "get": [0, 1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 16, 17, 20], "bold": [0, 1, 4, 10, 17], "whole": [0, 1, 2, 3, 4, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "compar": [0, 4, 7, 9, 10, 11, 12, 17], "distribut": [0, 2, 4, 5, 6, 13, 14, 15, 16, 17, 19, 20], "themselv": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 15, 17], "produc": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "suggest": [0, 1, 2, 3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16, 17], "below": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "trend": [0, 16], "systemat": [0, 1, 4, 10, 12, 13, 16], "strike": 0, "known": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "real": [0, 1, 2, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "first": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "encount": [0, 1, 3, 4, 8, 9, 10, 11, 12, 13, 14, 15], "refus": [0, 9, 17], "while": [0, 1, 2, 3, 4, 5, 6, 8, 9, 11, 12, 13, 14, 15, 16, 17], "subtl": [0, 1, 2, 3, 4, 5, 9, 15], "lesson": [0, 4, 17], "buri": [0, 4, 14], "point": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "counterintuit": [0, 9, 11, 12, 14], "trap": [0, 1, 2], "ly": [0, 4, 12, 14, 17], "wait": [0, 4, 5, 12, 14, 15, 17], "unwari": [0, 11], "teach": [0, 1, 3, 7, 13, 15, 17, 20], "scienc": [0, 1, 2, 10, 11, 17, 19], "cunningli": 0, "hidden": [0, 1, 10, 11, 12, 15, 16], "nook": 0, "cranni": 0, "complic": [0, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16], "os": [0, 3], "pathlib": 0, "path": [0, 9], "cwd": 0, "getcwd": 0, "chdir": 0, "str": [0, 3, 4, 7, 10], "parent": [0, 1, 4, 13], "df_berk": 0, "read_csv": [0, 3, 4, 5, 6, 12, 13, 14, 15, 16, 17], "berkeley2": 0, "csv": [0, 4, 5, 6, 7, 12, 13, 14, 15, 16, 17], "seaborn": [0, 2, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "sn": [0, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "plot": [0, 4, 6, 7, 9, 11, 14, 15, 16], "berk": 0, "berkelyplot": 0, "lmplot": 0, "x": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "y": [0, 1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 15, 16], "hue": [0, 9, 10, 16], "size": [0, 1, 3, 6, 9, 10, 15, 17, 19], "xlabel": [0, 4, 5, 9, 10, 11, 12, 13, 15], "pecentag": 0, "ylabel": [0, 4, 5, 9, 10, 11, 12, 13, 15], "befor": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "leav": [0, 1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16], "someth": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "els": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "critic": [0, 1, 3, 6, 8, 9, 10, 12, 13, 15], "overlook": [0, 14], "rememb": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "concern": [0, 1, 2, 3, 4, 6, 10, 11, 12, 14, 15, 16, 17], "process": [0, 1, 2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "unfairli": 0, "aggreg": [0, 1, 14], "discrimin": [0, 8, 11, 13], "disaggreg": [0, 1], "individu": [0, 1, 2, 4, 7, 9, 13, 14, 16], "behaviour": [0, 1, 2, 4, 5, 10, 12, 13, 14, 17], "anyth": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "self": [0, 2, 6, 10], "select": [0, 4, 5, 6, 10, 12, 14], "legal": [0, 11], "perspect": [0, 1, 2, 3, 4, 7, 9, 10, 11, 14, 15, 17], "put": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 20], "clear": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "determin": [0, 1, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "level": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "less": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unbias": [0, 4, 10], "small": [0, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "consist": [0, 1, 3, 4, 5, 6, 8, 10, 11, 13, 14, 17, 19], "dictat": 0, "choos": [0, 1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 17], "hardli": [0, 11, 15, 17], "held": 0, "account": [0, 1, 10, 11, 12, 13, 14, 15, 16, 17], "those": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "choic": [0, 1, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 15, 16, 17], "somewhat": [0, 1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glib": [0, 12], "earlier": [0, 1, 2, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "interest": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sociolog": 0, "revers": [0, 1, 3, 11, 13, 15], "still": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "everi": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "singl": [0, 2, 5, 6, 7, 9, 10, 11, 13, 14, 16, 17], "itself": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "hypothet": [0, 4, 9, 16], "prefer": [0, 1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 15, 17], "further": [0, 1, 2, 3, 4, 5, 6, 7, 10, 11, 15, 17], "low": [0, 1, 4, 5, 10, 11, 12, 13, 15], "govern": [0, 1, 9, 16], "fund": 0, "ph": [0, 1], "ti": [0, 2, 3, 13, 14, 15], "project": [0, 1, 6, 10, 12, 15, 17], "constitut": [0, 5, 16], "unenlighten": 0, "valu": [0, 1, 2, 5, 6, 7, 9, 10, 12, 14, 16, 19], "cut": [0, 4, 5, 9, 12, 14, 15, 17], "felt": [0, 3, 13], "useless": [0, 4, 5, 10, 13, 15], "chick": 0, "blatantli": 0, "none": [0, 1, 4, 5, 7, 8, 10, 12, 13, 14, 17], "fall": [0, 1, 4, 5, 9, 10, 11, 12, 13, 15, 16, 17], "within": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "purview": 0, "matter": [0, 1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 15, 16, 17], "short": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16], "huge": [0, 4, 5, 10, 13, 14, 15, 20], "impact": [0, 7, 9], "analys": [0, 1, 2, 4, 5, 6, 7, 9, 11, 12, 14, 15, 16, 17], "interpret": [0, 1, 2, 5, 6, 7, 9, 11, 12, 13, 14, 19], "alwai": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "end": [0, 1, 2, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "substitut": [0, 13, 16, 17], "care": [0, 1, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "discuss": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "focus": [0, 1, 2, 4, 8, 9, 10, 12, 13, 17], "m": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19, 20], "role": [0, 2, 3, 10, 17], "plai": [0, 1, 3, 4, 5, 8, 9, 10, 14], "devot": [0, 3, 6, 9], "lectur": [0, 1, 2, 4, 10, 13], "attempt": [0, 1, 2, 4, 5, 7, 9, 10, 11, 13, 14, 15, 17], "few": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "them": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "glorious": 0, "messi": [0, 2, 4, 6, 11, 12], "infuriatingli": 0, "pervers": 0, "physic": [0, 1, 3, 9, 19], "includ": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "object": [0, 4, 6, 9, 10, 11, 15, 17], "electron": 0, "complex": [0, 3, 4, 6, 7, 10, 15, 17], "aris": [0, 1, 4, 6, 9, 10, 13, 14, 16], "own": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 17], "opinion": [0, 1, 3, 5, 6, 9, 10, 11, 12, 14, 17], "each": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "weird": [0, 1, 4, 5, 8, 9, 11, 12, 15], "arbitrari": [0, 1, 4, 9, 13], "bore": [0, 1, 4, 5, 6, 11, 14, 15], "middl": [0, 1, 3, 4, 5, 6, 9, 13, 15, 16, 17], "angri": 0, "experiment": [0, 9, 10, 11, 12, 13, 14, 16, 17, 19], "deliber": [0, 1, 10, 11, 12, 16], "try": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sabotag": 0, "ever": [0, 1, 2, 3, 7, 8, 9, 11, 14, 15, 16, 17], "At": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "physicist": [0, 1], "luxuri": 0, "pathet": 0, "comparison": [0, 4, 7, 12, 13, 15, 17, 19], "vast": [0, 1, 4, 5, 9, 11, 12, 13], "mess": [0, 2, 3, 5, 11], "confront": [0, 1], "desper": [0, 11, 15, 17], "reliant": [0, 6], "bad": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15], "pick": [0, 1, 4, 5, 6, 9, 10, 11, 12, 13, 15, 17], "extent": [0, 1, 2, 4, 5, 6, 13, 14, 15, 16], "becom": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "fulli": [0, 16], "train": [0, 1, 9, 12, 17], "reach": [0, 10, 17], "certain": [0, 2, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16], "compet": 0, "three": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 17], "ought": [0, 1, 2, 3, 5, 7, 10, 12, 14, 15], "deepli": [0, 1, 4, 5, 9], "intertwin": [0, 1], "least": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "understand": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "secondli": [0, 1, 5, 6, 8, 9, 10, 13, 14, 15, 16], "side": [0, 4, 5, 7, 8, 9, 10, 12, 14, 15, 16, 17], "literatur": [0, 4, 8, 9, 11, 12, 14, 17], "paper": [0, 1, 2, 5, 7, 9, 10, 11, 12, 14, 15, 17], "report": [0, 1, 4, 5, 9, 10, 13, 14, 15, 16, 17], "amount": [0, 1, 3, 4, 5, 10, 11, 12, 13, 15, 17], "thirdli": [0, 5, 15], "practic": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 17, 19], "depend": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "analysi": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 19], "expens": [0, 2, 4, 10, 13, 17], "australian": [0, 1, 4, 5, 9, 10, 12, 13], "charg": 0, "fee": [0, 2], "ll": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "nation": [0, 4, 10, 19], "prioriti": [0, 2], "categori": [0, 1, 4, 9, 10, 11, 12, 17], "area": [0, 1, 5, 9, 11, 13], "massiv": [0, 2, 4, 5, 12, 13], "shortag": 0, "law": [0, 1, 9, 11, 17], "suppli": [0, 5, 10, 12], "demand": [0, 10, 15], "situat": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cruel": 0, "afford": [0, 4, 9], "econom": [0, 10], "suffici": [0, 1, 2, 4, 10, 11, 12, 13, 14, 15, 16], "note": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "stai": [0, 5, 6, 7, 9], "top": [0, 1, 3, 4, 5, 6, 9, 10, 12, 13, 15, 16, 20], "field": [0, 1, 2, 4, 8, 9, 11, 12, 15, 17], "read": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "heavili": [0, 1, 5, 10, 13, 14, 15, 16], "job": [0, 4, 5, 6, 9, 11, 12, 15, 17, 20], "clinic": [0, 1, 4, 10, 14, 16, 17], "everyon": [0, 1, 2, 4, 9, 10, 11, 12, 13, 15, 17], "21st": 0, "centuri": [0, 9, 11, 12, 14, 17], "everywher": [0, 7, 9, 12, 13], "frankli": [0, 4, 5], "knowledg": [0, 1, 4, 5, 9, 10, 12, 13, 15, 17], "close": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "surviv": 0, "drown": 0, "inform": [0, 1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 17], "starv": 0, "author": [0, 1, 3, 5, 6, 12, 13, 14, 15, 16, 17], "origin": [0, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "john": [0, 5, 9, 10, 19], "naisbitt": 0, "write": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16], "took": [0, 1, 4, 6, 7, 13, 15, 17], "20": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "recent": [0, 3, 4, 5, 7, 8, 9], "new": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "post": [0, 1, 15], "abc": [0, 4, 17], "websit": [0, 4, 10], "call": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "made": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mistak": [0, 1, 4, 5, 7, 9, 12, 14, 17], "error": [0, 1, 2, 3, 4, 5, 10, 12, 13, 14, 15, 16, 17, 19], "curiou": [0, 1, 4, 6, 13, 16], "fail": [0, 1, 11, 13, 15, 17], "baselin": 0, "mention": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15], "characterist": [0, 1, 4, 6, 9, 10, 11], "journalist": [0, 4], "biggest": [0, 1, 4, 11, 13, 14, 15, 17], "newspap": [0, 1, 9], "internet": [0, 1, 3, 5, 11, 15], "far": [0, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "frequent": [0, 4, 12], "hous": [0, 3, 4, 7, 10, 13, 15], "price": [0, 2, 4], "australia": [0, 4, 10, 11, 17], "later": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20], "version": [0, 1, 2, 4, 5, 6, 7, 11, 12, 13, 14, 15, 20], "book": [0, 1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "anecdot": 0, "line": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 17, 20], "talk": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "fair": [0, 3, 4, 5, 8, 9, 11, 12, 13, 14, 15, 17], "wouldn": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "methodolog": [0, 1, 10, 11, 12, 19], "broader": [0, 1, 5, 10, 13, 15, 16], "concept": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16], "cover": [0, 1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "pragmat": [0, 1, 6, 9, 17], "99": [0, 4, 9, 10, 11, 13, 15], "fear": [0, 7, 12, 15], "hopefulli": [0, 3, 4, 7, 12, 14, 16], "convinc": [0, 1, 9, 10, 11, 12, 15], "importantli": [0, 9, 10, 11, 15], "said": [0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "typic": [0, 1, 3, 4, 9, 10, 12, 13, 14, 15], "introductori": [0, 3, 9, 10, 11, 12, 13, 15, 17], "heavi": [0, 13, 15], "usual": [0, 1, 2, 3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "evil": [0, 1], "contrari": [0, 8, 17], "focu": [0, 1, 3, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16], "yourself": [0, 1, 2, 3, 4, 5, 6, 7, 9, 12, 13, 14, 15, 16, 17], "assign": [0, 1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 17], "greater": [0, 1, 11, 13, 14, 15, 17], "ground": [0, 1, 3, 4, 5, 9, 11, 14], "collect": [0, 1, 2, 4, 5, 6, 9, 10, 11, 12, 14, 15, 17], "allow": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "urgent": 0, "stress": [0, 4, 5, 10, 17], "spend": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 15, 17], "provid": [0, 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "core": [0, 2, 3, 4, 6, 14], "type": [0, 1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15], "principl": [0, 1, 3, 11, 12, 13, 14, 15, 16, 19], "idiosyncrat": [0, 1], "detail": [0, 1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17], "quot": [0, 4, 5, 6, 7, 8, 10, 11, 12, 17], "1946": [0, 1, 12, 19], "poem": 0, "lyre": 0, "reactionari": 0, "tract": [0, 19], "deliv": 0, "commenc": 0, "address": [0, 1, 3, 4, 10, 11, 12, 14], "harvard": [0, 19], "histori": [0, 4, 7, 9, 11, 13, 17, 19], "http": [0, 1, 3, 4, 5, 6, 8, 10, 12, 13, 14, 15, 16, 17], "harvardmagazin": 0, "com": [0, 3, 4, 5, 6, 8, 12, 13, 14, 15, 16, 17], "2007": 0, "11": [0, 1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "poet": 0, "warn": [0, 1, 3, 12, 17], "html": [0, 8, 10], "cynic": [0, 16], "moment": [0, 1, 2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "alon": [0, 13, 17], "incorrectli": [0, 11, 12, 14, 15], "nice": [0, 1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "commentari": [0, 9], "www": [0, 4, 8, 10, 17], "refsmmat": 0, "2016": 0, "05": [0, 4, 11, 12, 13, 14, 15, 17], "08": [0, 4, 14, 15, 16, 17], "thank": [0, 7, 9, 20], "wilfri": 0, "van": 0, "hirtum": 0, "teensi": 0, "advanc": [0, 1, 2, 7, 9, 11, 13], "consult": [1, 3, 11], "finish": [1, 3, 4, 5, 7, 10, 11, 12, 14, 17], "mere": [1, 4, 8, 10, 14], "him": [1, 8, 14], "conduct": [1, 9, 10, 11, 12, 13, 14], "mortem": 1, "examin": [1, 4, 12, 15, 16], "he": [1, 2, 3, 4, 8, 10, 11, 12, 13, 17], "perhap": [1, 3, 4, 5, 6, 9, 10, 11, 13, 14, 15, 16, 17], "di": 1, "sir": [1, 9, 11, 12, 13, 14, 17], "ronald": [1, 9, 11, 12, 13, 14, 17], "fisher": [1, 4, 9, 13, 14, 17, 19], "chapter": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "we": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "check": [1, 4, 6, 7, 8, 9, 11, 12, 17], "won": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20], "give": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "more": [1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "than": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "overview": [1, 13, 17], "special": [1, 2, 3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 15, 16, 17], "two": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 12, 17, 20], "s": [1, 2, 3, 5, 6, 7, 8, 10, 11, 15, 16, 17, 19, 20], "statist": [1, 2, 3, 5, 6, 7, 13, 15, 16, 19], "nevertheless": [1, 4, 5, 9, 10, 11, 12, 13, 15, 17], "tradit": [1, 4, 13, 14, 15], "textbook": [1, 2, 4, 9, 11, 12, 14, 16, 17], "campbel": [1, 19], "stanlei": [1, 19], "1963": [1, 19], "steven": [1, 19], "precis": [1, 2, 3, 4, 9, 10, 11, 13, 14, 15, 16, 17], "citat": 1, "do": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 14, 15, 16, 17, 20], "down": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "label": [1, 2, 4, 6, 9, 10, 12, 14, 15, 16, 17], "descript": [1, 2, 5, 9, 10, 11, 12, 13, 14, 17], "count": [1, 2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 17], "ag": [1, 6, 7, 10], "anchovi": 1, "chromosom": 1, "identifi": [1, 2, 7, 11, 12, 13, 15], "list": [1, 2, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "italicis": 1, "expand": [1, 4, 5, 11, 13, 14, 15, 17], "possibl": [1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "could": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "arisen": [1, 19], "been": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "etc": [1, 3, 4, 6, 10, 12, 14, 15, 16], "upper": [1, 3, 4, 7, 10, 11, 13, 15, 16, 19], "bound": [1, 10, 15], "fuzzi": 1, "150": [1, 4, 12, 17], "long": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15], "xy": [1, 3, 4, 11, 12, 14], "xx": 1, "klinfelt": 1, "syndrom": 1, "xxy": 1, "similar": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "imagin": [1, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "mai": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "neither": [1, 4, 11, 14, 15, 16], "explicitli": [1, 4, 10, 11, 12, 14, 15, 16, 17], "myself": [1, 2, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 17], "transgend": [1, 10], "obviou": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tricki": [1, 4, 6, 9, 11, 12], "assum": [1, 2, 3, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "development": 1, "crude": [1, 10, 17], "month": [1, 3, 7, 14], "child": [1, 4, 6], "written": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "newborn": 1, "birth": 1, "mayb": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16], "hour": [1, 4, 5, 7, 15, 16], "specifi": [1, 4, 5, 6, 9, 10, 11, 13, 15], "realis": [1, 2, 5, 7, 8, 11, 12, 13, 14], "implicitli": [1, 14], "length": [1, 4, 6, 7, 10, 14, 15], "babi": [1, 4, 12, 15], "ey": [1, 3, 5, 6, 10], "movement": 1, "kid": [1, 4, 15, 17], "young": [1, 6, 17], "meaning": [1, 4, 5, 6, 9, 11, 13, 14, 17], "alic": 1, "born": [1, 10, 12], "week": [1, 3, 4, 5, 7], "prematur": 1, "bianca": 1, "late": [1, 7], "ye": [1, 3, 4, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "convent": [1, 3, 4, 5, 6, 10, 11, 12, 17], "refer": [1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "everydai": [1, 4, 7, 8, 9, 10, 11, 14], "life": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "oper": [1, 2, 3, 4, 7, 10, 16], "independ": [1, 9, 10, 11, 14, 15, 16], "entiti": [1, 9, 10, 15], "biologi": 1, "beings": [1, 9, 10, 17], "organ": [1, 3, 5, 10], "grow": [1, 9, 10], "deal": [1, 2, 3, 4, 5, 10, 12, 13, 14, 15, 17], "adult": [1, 6], "move": [1, 3, 4, 6, 9, 11, 13, 14, 15], "method": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "old": [1, 2, 3, 4, 6, 7, 9, 10, 11, 14, 15], "fast": [1, 3, 12, 15, 17], "cheap": 1, "lie": [1, 3, 4, 5, 7, 9, 10, 13, 15], "around": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sure": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "obstetrician": 1, "offici": [1, 17], "record": [1, 4, 6, 7, 8, 10, 12, 13, 16, 17], "certif": 1, "consum": 1, "annoi": [1, 2, 4, 5, 6, 7, 11, 13, 14, 17], "dead": [1, 10], "previou": [1, 2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "vagu": [1, 10, 11, 12, 17], "sever": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17, 19], "Being": [1, 12], "context": [1, 2, 3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17], "Will": 1, "phrase": [1, 4, 7, 10, 11, 12, 13, 15], "numer": [1, 3, 4, 10, 13], "option": [1, 3, 5, 6, 7, 10, 12, 13, 15, 17], "open": [1, 2, 3, 10, 12, 14, 15, 20], "busi": [1, 2, 3, 4, 5, 12, 15, 17], "formal": [1, 11, 13, 15, 16], "commun": [1, 4, 12, 17], "who": [1, 2, 3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17], "establish": [1, 11, 12], "through": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17, 20], "aspect": [1, 4, 13], "terminolog": [1, 2, 9, 10, 11, 12, 14, 15, 16, 17], "introduc": [1, 2, 3, 4, 5, 6, 10, 11, 12, 14, 15, 16, 17], "four": [1, 2, 4, 6, 7, 9, 10, 11, 12, 15, 16, 17], "theoret": [1, 8, 10, 11, 12, 13, 14, 15, 19], "directli": [1, 2, 4, 5, 6, 7, 11, 12, 14, 16], "observ": [1, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "survei": [1, 2, 4, 9, 10, 12, 17], "brain": [1, 11, 14], "scan": [1, 15], "connect": [1, 3, 9, 14], "deriv": [1, 4, 9, 12, 14, 15], "blur": 1, "distinct": [1, 3, 4, 5, 9, 10, 11, 12, 13, 14, 15, 17], "indic": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16, 17], "qualit": [1, 4, 9, 11, 13, 14, 15, 16], "distinguish": [1, 4, 6, 10, 14, 16], "categor": [1, 6, 9, 13, 17, 19], "relationship": [1, 5, 6, 9, 10, 11, 12, 13, 16, 17], "bigger": [1, 4, 7, 9, 10, 11, 12, 13, 14, 15, 17], "absolut": [1, 2, 3, 6, 11, 13, 14, 15, 17], "averag": [1, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "colour": [1, 10, 11, 16], "blue": [1, 3, 5, 9, 10, 12, 13, 15], "green": [1, 3], "brown": [1, 14, 19], "similarli": [1, 4, 9, 11, 12, 13, 14, 15, 16, 17], "closer": [1, 2, 4, 10, 11, 13, 14, 15], "commut": 1, "One": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17, 19], "transport": 1, "bu": [1, 9], "car": 1, "bicycl": 1, "todai": [1, 7, 9, 11, 15, 17], "12": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "30": [1, 2, 4, 5, 6, 9, 11, 12, 13, 15, 16, 17], "48": [1, 13, 14, 15, 16, 17, 19], "10": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 17], "obvious": [1, 2, 3, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 20], "silli": [1, 2, 5, 7, 10, 11, 12, 13, 15, 17], "travel": [1, 4], "popular": [1, 4, 5, 7, 12, 15, 16], "bike": 1, "chosen": [1, 2, 3, 4, 5, 10, 11, 12, 13, 15, 17], "noth": [1, 2, 3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "natur": [1, 2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "posit": [1, 2, 4, 6, 7, 10, 11, 12, 15, 16, 17], "race": 1, "faster": [1, 2, 14], "1st": [1, 2, 8], "2nd": [1, 6, 19], "3rd": [1, 6, 19], "larger": [1, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "attitud": 1, "climat": [1, 17], "match": [1, 4, 7, 9, 13, 14], "belief": [1, 8, 9, 10, 11, 19], "temperatur": [1, 9], "rise": [1, 4, 9, 11, 12, 13, 15, 16], "activ": [1, 6], "why": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 19], "current": [1, 2, 3, 4, 6, 10, 12, 13, 14, 15, 17], "opposit": [1, 5, 11, 12, 13], "endors": [1, 9, 15], "item": [1, 4, 7, 12], "violat": [1, 6, 12, 13, 14, 15, 16], "51": [1, 6, 11, 12, 13, 17], "19": [1, 4, 6, 7, 9, 13, 14, 15, 16, 19], "togeth": [1, 3, 4, 5, 6, 7, 9, 10, 12, 13, 15, 16], "81": [1, 4, 12, 15], "willing": [1, 8, 9, 11, 12, 13, 14, 17], "partial": [1, 4, 5, 13, 14, 16], "49": [1, 13, 14, 17], "regist": [1, 6], "disagr": [1, 11, 15], "domin": [1, 5, 9, 11, 17], "90": [1, 3, 4, 6, 10, 12, 13, 15, 19], "There": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "97": [1, 4, 10, 11, 15], "tell": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "gibberish": [1, 4, 11, 12], "contrast": [1, 4, 5, 9, 10, 11, 13, 14, 15, 17], "genuin": [1, 2, 4, 5, 6, 9, 11, 12, 13, 15, 16], "zero": [1, 3, 4, 5, 6, 7, 9, 12, 13, 15, 17], "degre": [1, 5, 9, 10, 11, 12, 13, 14, 15, 17], "celsiu": 1, "15": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "circ": 1, "yesterdai": 1, "18": [1, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16, 17], "moreov": [1, 10, 11, 16], "addit": [1, 2, 3, 4, 12, 13, 15], "subtract": [1, 3, 6, 12, 14, 16], "water": [1, 5], "freez": 1, "pointless": [1, 17], "multipli": [1, 3, 4, 9, 10, 12, 13, 14, 15, 16, 17], "divid": [1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "twice": [1, 10, 12, 14], "hot": [1, 9, 14, 17], "meaningless": [1, 4, 6, 9, 11, 14, 15, 16, 17], "claim": [1, 7, 9, 10, 11, 12, 13, 14, 15, 17], "neg": [1, 3, 4, 6, 9, 12, 15], "again": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "2003": 1, "arriv": [1, 9, 10, 11, 16, 17], "2008": 1, "insan": [1, 10, 15], "0024": 1, "fourth": [1, 3, 4, 6, 8, 9, 14, 15], "consid": [1, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "rt": [1, 6, 13], "task": [1, 2, 4, 5, 6, 7, 9, 10, 12], "somebodi": 1, "difficult": [1, 2, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16], "alan": 1, "respond": [1, 6, 11, 12], "ben": [1, 14], "longer": [1, 2, 3, 4, 5, 6, 7, 8, 11, 13, 15, 17], "multipl": [1, 2, 3, 4, 9, 10, 11, 12, 13, 16, 19], "divis": [1, 2, 7, 10], "awar": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14], "regard": [1, 11, 14], "definit": [1, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "abstract": [1, 2, 3, 4, 10, 11, 12, 14, 16], "onc": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "cameron": 1, "david": [1, 8, 17], "031": 1, "hi": [1, 3, 4, 8, 9, 10, 11, 13, 15, 17], "imposs": [1, 7, 8, 9, 10, 11, 14, 15], "occur": [1, 3, 4, 6, 9, 11, 13, 16, 17], "rule": [1, 2, 4, 5, 8, 9, 10, 11, 12, 13, 14, 15, 16], "strict": [1, 2, 17], "mathemat": [1, 2, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "although": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "saw": [1, 3, 4, 5, 6, 8, 9, 12, 13, 14, 15, 16, 17], "school": [1, 2, 3, 4, 10, 11, 15, 16], "2002": [1, 4, 12, 19], "summaris": [1, 4, 7, 9, 10, 11, 12, 15], "cell": [1, 2, 3, 4, 6, 7, 12, 14, 16, 17], "tick": [1, 5, 13], "mark": [1, 3, 5, 6, 10, 13], "correspond": [1, 2, 3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "hammer": 1, "home": [1, 3, 4, 5, 6, 10, 17], "unfortun": [1, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 17], "checkmark": [1, 13, 14], "shock": [1, 4, 13], "hear": [1, 4, 12, 13, 15], "messier": [1, 13, 17], "classif": [1, 6], "scheme": [1, 4, 10, 14], "neat": [1, 6, 12, 15], "treat": [1, 3, 4, 6, 11, 12, 13, 15, 16, 17], "guidelin": [1, 12, 15], "intend": [1, 2, 4, 5, 9, 10, 12, 13, 14, 17], "likert": [1, 6, 9], "humbl": [1, 3, 5, 14], "bread": [1, 15, 17], "butter": [1, 17], "fill": [1, 4, 9, 13, 14, 15, 17], "hundr": [1, 7, 13, 14], "thousand": [1, 2, 3, 9, 11, 14], "odd": [1, 3, 4, 6, 7, 11, 12, 13, 14, 15, 17], "describ": [1, 3, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 17], "pirat": 1, "freak": [1, 4], "awesom": [1, 5, 6, 9, 13, 17], "particip": [1, 2, 5, 6, 10, 11, 12, 13, 14, 16], "strongli": [1, 2, 6, 14, 15, 17], "clearli": [1, 2, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16], "descriptor": 1, "necessari": [1, 2, 8, 9, 13, 14, 15], "handi": [1, 2, 3, 5, 7, 9, 10, 11, 12, 13, 15, 16], "limit": [1, 2, 3, 4, 9, 12, 13, 15, 16, 17], "prove": [1, 10, 11, 12, 14], "On": [1, 3, 4, 5, 6, 7, 9, 10, 11, 13, 15, 16, 17, 19], "serious": [1, 2, 5, 9, 13], "act": [1, 2, 10, 12, 13], "five": [1, 3, 4, 5, 9, 10, 13, 14], "quasi": [1, 19], "therebi": [1, 4, 15], "creat": [1, 2, 3, 4, 5, 7, 9, 10, 12, 13, 14, 15, 16, 20], "seen": [1, 2, 3, 4, 5, 6, 7, 9, 11, 12, 14, 15, 16, 17], "simpli": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 17], "accur": [1, 2, 4, 10, 14], "weight": [1, 12, 13, 14, 15, 16], "bathroom": 1, "step": [1, 2, 3, 4, 6, 7, 8, 9, 11, 12, 13, 14, 15], "off": [1, 2, 3, 4, 5, 6, 8, 9, 10, 12, 13, 14, 15, 16, 17, 20], "intellig": [1, 2, 4, 9, 10, 11], "mum": 1, "unreli": 1, "she": [1, 2, 10, 11, 13], "thick": 1, "moron": 1, "hold": [1, 5, 7, 9, 10, 12, 14, 16], "sack": 1, "potato": 1, "highli": [1, 2, 3, 4, 5, 6, 10, 11, 12, 13, 15, 17], "technic": [1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "estim": [1, 4, 5, 8, 11, 12, 14, 16, 19], "bright": [1, 11], "her": [1, 4, 6, 9, 11, 13], "fluctuat": [1, 9], "wildli": [1, 9], "purpos": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "ensur": [1, 4, 9, 11, 13, 14, 17], "retest": 1, "date": [1, 2, 4, 11, 15, 16], "inter": 1, "rater": 1, "parallel": [1, 10, 16], "form": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "equival": [1, 2, 4, 6, 9, 11, 12, 13, 14, 15, 17], "perform": [1, 2, 5, 6, 7, 11, 13, 14, 15, 16], "function": [1, 2, 3, 4, 5, 9, 10, 12, 13, 14, 16, 17, 20], "ad": [1, 3, 4, 5, 7, 9, 11, 12, 13, 15, 16, 17], "possess": [1, 3, 10], "subject": [1, 4, 6, 9, 10, 13, 14, 16], "comput": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "cognit": [1, 10, 14, 19], "compon": 1, "exam": [1, 4, 11], "plu": [1, 3, 6, 9, 14, 15, 16], "piec": [1, 2, 3, 4, 5, 7, 9, 10, 11, 13, 17], "awai": [1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15], "normal": [1, 3, 4, 5, 6, 7, 10, 12, 19], "Then": [1, 3, 4, 5, 6, 7, 10, 12, 13, 14, 15, 16], "symbol": [1, 2, 3, 4, 5, 6, 10, 12, 15, 16], "denot": [1, 2, 4, 9, 10, 11, 12, 13, 14, 15, 16], "x_1": [1, 4, 9, 13], "x_2": [1, 4, 9, 13], "iv": [1, 8, 15], "dv": [1, 14, 15, 16], "behind": [1, 2, 3, 4, 5, 7, 11, 12, 13, 15, 16], "goe": [1, 2, 4, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "properli": [1, 5, 9, 11, 12, 14, 15, 17, 20], "mislead": [1, 4, 5, 10, 11, 14], "never": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "aw": [1, 17], "altern": [1, 2, 10, 13, 14, 15, 16, 17, 19], "appeal": [1, 5, 11, 17], "modern": [1, 11, 14, 15], "exercis": [1, 5, 7, 10, 12, 13, 14, 15, 17], "event": [1, 4, 9, 10, 11, 13, 16, 17], "kei": [1, 2, 3, 4, 6, 7, 9, 11, 12, 13, 14, 15, 16, 17], "featur": [1, 2, 5, 15], "dure": [1, 2, 3, 4, 5, 6, 7, 16], "manipul": [1, 3, 6], "vari": [1, 3, 4, 9, 11, 12, 13, 15, 16], "causal": [1, 5, 11, 15], "kept": [1, 8, 9, 11, 14], "constant": [1, 4, 9, 13, 15], "balanc": [1, 4, 14, 17], "standard": [1, 2, 3, 5, 6, 9, 11, 12, 14, 15, 19], "solut": [1, 2, 4, 5, 6, 7, 9, 12, 13, 14, 15, 16], "randomis": [1, 11], "randomli": [1, 4, 9, 10, 12, 13, 14], "treatment": [1, 11, 14], "minimis": [1, 11, 13, 15], "elimin": [1, 5, 8, 11, 17], "unrealist": [1, 4], "grossli": [1, 15, 17], "uneth": [1, 10, 12], "smoke": 1, "lung": 1, "cancer": 1, "smoker": [1, 10], "proper": [1, 4, 6, 7, 8, 10, 11, 12, 15, 17], "poor": [1, 4, 11, 12, 13, 15], "diet": 1, "asbesto": 1, "mine": [1, 4, 5, 8, 9, 13], "whatev": [1, 2, 3, 4, 6, 7, 11, 12], "incid": [1, 5], "per": [1, 2, 5, 9, 13, 16], "se": [1, 9, 10, 13, 15], "meantim": [1, 14], "recal": [1, 4, 6, 10, 13, 14, 15, 16], "ethic": 1, "forc": [1, 2, 4, 5, 7, 10, 11, 12, 13, 17], "half": [1, 3, 4, 5, 6, 8, 9, 10, 11, 13, 15, 17], "unlik": [1, 3, 4, 5, 6, 7, 9, 11, 12, 13, 17], "respect": [1, 3, 4, 5, 8, 9, 10, 11, 13, 14, 15, 16], "confid": [1, 5, 9, 11, 13, 14, 15, 17], "murder": [1, 16], "broad": [1, 5, 6, 9, 13, 14, 15], "illustr": [1, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 15, 16, 17], "obtain": [1, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16, 17], "crimin": [1, 11], "must": [1, 2, 3, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sampl": [1, 4, 5, 8, 9, 14, 15, 16, 19, 20], "solid": [1, 4, 9, 13, 14, 15, 16, 17], "investig": [1, 4, 14], "didn": [1, 2, 3, 4, 5, 6, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "artifactu": 1, "worth": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "aim": [1, 8, 9, 14, 15], "draw": [1, 4, 8, 9, 10, 12, 13, 14, 15, 16, 17], "isol": [1, 7], "neuropsycholog": 1, "damag": 1, "advantag": [1, 3, 4, 9, 10, 11, 15, 17], "abil": [1, 3, 7, 10, 11, 16], "invest": 1, "effort": [1, 3, 4, 6, 9, 11, 13, 14], "factor": [1, 3, 5, 6, 11, 13, 14, 15, 19], "valuabl": 1, "complement": [1, 4], "orient": [1, 5], "conceptu": [1, 2, 9, 10, 12, 14, 15, 16], "state": [1, 2, 3, 9, 10, 11, 12, 13, 14, 15, 17], "honesti": [1, 4], "notion": [1, 4, 5, 9, 14, 15], "rais": [1, 2, 4, 10, 14, 15, 17], "relev": [1, 3, 4, 9, 10, 11, 12, 14, 15, 16, 17], "quick": [1, 3, 4, 5, 11, 12, 13, 15], "guid": [1, 4, 10, 11, 13, 15, 17, 19], "tie": [1, 3, 14], "terribl": [1, 4, 9, 11, 13, 14, 15, 16], "except": [1, 2, 3, 4, 7, 8, 10, 11, 12, 13, 15, 17], "insofar": [1, 10, 12, 16], "appear": [1, 2, 3, 4, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "insid": [1, 2, 3, 4, 5, 6, 7, 10, 11, 13, 14, 15], "1000": [1, 4, 9, 10, 17], "essai": [1, 19], "spell": 1, "grammat": 1, "third": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 17], "fewer": [1, 3, 5, 11, 12, 16], "conclud": [1, 9, 13, 14, 17], "skill": [1, 2, 3, 7, 8, 10, 14], "older": [1, 6], "superior": [1, 12, 17], "failur": [1, 17], "teas": 1, "apart": [1, 4, 12], "pattern": [1, 4, 6, 11, 12, 15, 16], "environ": [1, 2, 3, 7, 10, 11, 12], "drawn": [1, 5, 9, 10, 12, 13, 15], "subgroup": 1, "lack": [1, 5], "carri": [1, 17], "risk": 1, "populac": [1, 12], "threaten": 1, "popul": [1, 4, 9, 11, 13, 14, 15, 16, 19], "narrow": [1, 5, 6, 9, 10, 11], "phenomenon": [1, 10, 16], "concret": [1, 2, 4, 10, 11, 12, 14, 15, 16], "extrem": [1, 2, 4, 5, 7, 9, 12, 14, 15, 17, 20], "public": [1, 5, 9, 10, 17, 19], "toward": [1, 4, 9, 13, 14], "psychotherapi": 1, "visual": [1, 3, 4, 5, 7, 10, 13, 15], "illus": 1, "spent": [1, 3, 4, 7, 9], "coupl": [1, 4, 6, 10, 14, 16, 17], "paragraph": [1, 4], "pose": [1, 14], "manner": 1, "lab": [1, 10], "learn": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "ridicul": [1, 13], "cheat": [1, 17], "stand": [1, 3, 4, 9, 13, 14, 16, 17], "theatr": 1, "300": [1, 5, 7], "cheater": 1, "deep": [1, 2, 3, 7, 9, 11, 12, 14], "stupid": [1, 2, 4, 5, 9, 10, 11, 12, 13], "pretend": [1, 4, 5, 9, 12, 13, 14, 16, 17], "gone": [1, 3, 13, 14, 20], "serv": [1, 3, 4, 7, 13, 15, 17], "experienc": [1, 14, 16], "hunch": 1, "evidentiari": [1, 10, 11], "pai": [1, 2, 4, 9, 11, 14, 16, 17], "attent": [1, 4, 5, 9, 10, 11, 14, 16, 17], "verbalis": 1, "criticis": [1, 10], "awri": 1, "uninform": 1, "crap": 1, "inspect": [1, 4, 5, 9, 10, 13, 14, 15], "gentli": 1, "substanti": [1, 4, 12, 13, 15], "untrain": 1, "polici": 1, "maker": 1, "proxi": 1, "politician": 1, "ignor": [1, 2, 3, 4, 6, 7, 9, 11, 13, 14, 15, 16, 17], "unfair": [1, 14], "scenario": [1, 4, 6, 9, 12, 13, 16, 17], "rigour": 1, "guarante": [1, 4, 10, 11, 13, 14, 15, 17], "easier": [1, 2, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 17], "eyewit": 1, "identif": [1, 19], "arrai": [1, 4, 6, 11, 12, 13, 14, 15, 17], "suspect": [1, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16], "shorter": [1, 10, 14], "crime": [1, 11], "wit": 1, "scare": [1, 5, 17], "polic": 1, "offic": [1, 15], "pressur": [1, 13], "fashion": [1, 2, 3, 4, 5, 10, 11, 14, 15, 16, 17], "unmeasur": [1, 15], "uncontrol": 1, "scope": [1, 4, 5, 9, 10, 12, 13, 14, 15], "vulner": [1, 4], "prevent": [1, 7, 9, 11], "swing": 1, "roundabout": 1, "shoe": [1, 10], "firmli": [1, 4, 5, 15], "foot": 1, "naturalist": 1, "By": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "lose": [1, 4, 5, 6, 8, 9, 15, 17], "wild": [1, 7], "reduc": [1, 5, 11, 13, 14, 15, 16], "bring": [1, 3, 13, 15, 17], "gain": [1, 9, 12, 14, 15, 16], "accident": [1, 9, 13], "Be": [1, 12, 14, 17], "rough": [1, 4, 12, 13, 15], "ahead": [1, 4, 10, 11, 12, 14], "unavoid": [1, 8], "ref": [1, 11, 13], "differentialattrit": 1, "characteris": [1, 6, 14], "23": [1, 3, 4, 9, 10, 13, 19], "uncertainti": [1, 5, 10, 13, 15], "decemb": 1, "2010": [1, 4, 5, 9, 11, 19], "februari": 1, "2011": [1, 5, 9, 11, 19], "queensland": 1, "flood": [1, 16], "januari": [1, 7, 17], "billion": 1, "dollar": [1, 2, 4, 9, 15], "kill": [1, 3, 5, 12, 13], "express": [1, 4, 5, 6, 10, 15, 16, 17], "temporarili": 1, "anti": [1, 14], "anxieti": [1, 13, 14, 16], "drug": [1, 2, 4, 6, 13, 14, 16], "administ": [1, 4, 6, 10, 12, 14, 16], "physiolog": [1, 16], "afterward": [1, 11, 12, 17], "lo": 1, "angel": 1, "earthquak": 1, "increas": [1, 4, 5, 9, 10, 13, 14, 15, 16], "tire": [1, 4], "children": 1, "rapidli": [1, 7], "trick": [1, 2, 3, 6, 7, 9, 12, 13, 15], "vocabulari": 1, "begin": [1, 2, 3, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "declin": 1, "regardless": [1, 3, 4, 5, 6, 10, 11, 12, 13, 14, 15, 16], "uncommon": [1, 4, 6, 12, 13], "rel": [1, 2, 3, 4, 6, 9, 10, 13, 14, 15, 16, 17], "style": [1, 4, 5, 7, 10, 11, 12, 15], "session": 1, "familiar": [1, 2, 3, 4, 7, 12, 13, 14, 15, 16], "nervou": 1, "calm": 1, "auxiliari": 1, "mood": [1, 4, 14, 15, 16], "lead": [1, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15, 16], "despit": [1, 8, 11, 12, 14], "imbal": 1, "80": [1, 4, 6, 9, 10, 11, 12, 13, 15, 17, 19], "troubl": [1, 3, 4, 14], "danger": [1, 2, 10, 11, 14, 15, 17], "manag": [1, 2, 3, 9, 12], "repres": [1, 3, 5, 6, 7, 9, 10, 12, 15, 16, 17], "dan": [1, 4, 5, 9, 14, 15, 17], "tediou": [1, 2, 4, 7, 12, 13, 14, 15, 16], "drop": [1, 4, 11, 13, 15, 16, 17], "stop": [1, 2, 4, 5, 6, 7, 9, 13, 14, 16, 17], "moral": [1, 5, 12, 17], "oblig": [1, 12], "remind": [1, 5, 7, 12, 15, 16], "random": [1, 4, 5, 7, 9, 11, 12, 13, 15, 16, 19, 20], "remain": [1, 4, 5, 6, 8, 9, 11, 14, 15, 16, 17], "conscienti": 1, "toler": [1, 11, 12], "boredom": 1, "decreas": [1, 4, 10, 13, 15], "homogen": [1, 12, 13], "condit": [1, 6, 11, 13, 14, 17], "gave": [1, 2, 4, 6, 12, 13, 14, 15, 16, 17], "easili": [1, 4, 5, 6, 7, 10, 12, 13, 15, 16], "main": [1, 2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 17], "unrepres": 1, "heterogen": 1, "dumb": [1, 2, 4, 17], "insult": [1, 10], "obedi": [1, 2], "anyon": [1, 3, 4, 7, 10, 11, 12, 14, 16, 17], "chitchat": 1, "dubiou": [1, 17], "co": [1, 5, 10, 13], "disobedi": 1, "left": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "alreadi": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16], "duti": 1, "shot": [1, 10, 11], "simplest": [1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16], "mail": 1, "repli": 1, "subsampl": 1, "chose": [1, 10, 11, 12, 15], "wasn": [1, 2, 5, 9, 11, 13, 15], "page": [1, 4, 19], "return": [1, 2, 3, 4, 5, 6, 7, 9, 10, 11, 13, 15], "miss": [1, 5, 6, 10, 14, 16, 17], "fell": [1, 11], "invas": 1, "essenc": [1, 3, 10, 11, 17], "lost": [1, 4, 8, 15], "variat": [1, 2, 4, 10, 13, 14, 15, 16, 17, 19], "subsequ": [1, 5, 16, 17], "advers": 1, "grade": [1, 4, 13], "explan": [1, 6, 9, 11, 12, 15, 16, 17], "lucki": [1, 12, 14], "transferr": 1, "luck": [1, 8, 10, 15], "transfer": 1, "score": [1, 3, 6, 8, 10, 11, 12, 13, 14, 15, 16], "back": [1, 2, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "tall": 1, "taller": 1, "feedback": 1, "tri": [1, 2, 3, 4, 5, 6, 7, 11, 12, 14, 15, 16], "reinforc": [1, 13], "whenev": [1, 6, 9, 10, 11, 12, 13, 16], "trial": [1, 4, 9, 11, 14, 16, 17], "kahneman": [1, 12, 19], "tverski": [1, 12, 19], "intent": [1, 2, 4, 10, 11, 17], "subtli": [1, 11, 13, 15, 16], "desir": [1, 5, 6, 7, 9, 10, 11, 13], "clever": [1, 4, 7, 9, 11, 12, 15, 19], "han": [1, 19], "1907": 1, "pfungst": [1, 19], "1911": [1, 19], "hothersal": [1, 19], "2004": [1, 5, 19], "hors": [1, 19], "becam": [1, 17], "famou": [1, 5, 10], "math": [1, 2, 3, 4, 9, 10, 12, 13, 14, 15, 16, 17], "theirs": 1, "doubl": [1, 14], "blind": [1, 14], "recognis": [1, 6, 7, 9, 10, 11, 13, 16], "ideal": [1, 4, 6, 7, 10, 11, 15, 17], "pull": [1, 4, 10, 12, 13, 14, 17], "interact": [1, 2, 3, 7, 11, 14], "credit": [1, 4], "avoid": [1, 3, 4, 7, 8, 11, 12, 13, 15, 17], "convei": [1, 4, 5, 11], "pygmalion": 1, "great": [1, 3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16], "occas": [1, 4, 5], "fulfil": 1, "prophesi": 1, "watch": [1, 4, 5, 6, 8, 9, 12, 15], "captur": [1, 2, 4, 5, 10, 11, 14, 17], "hawthorn": [1, 4, 5, 19], "alter": [1, 7, 9, 10, 11, 15], "factori": [1, 9, 14, 15], "outsid": [1, 5, 7, 9, 11, 15], "chicago": 1, "adair": [1, 19], "1984": [1, 19], "1920": [1, 12, 14], "light": [1, 2, 4, 11, 13, 15, 16, 17], "worker": [1, 17, 19], "product": [1, 4, 12, 16], "knew": [1, 3, 4, 7, 10, 13], "behav": [1, 3, 4, 6, 13], "adopt": [1, 6, 7, 9, 10, 11, 13, 17], "seek": [1, 11, 14], "hypothes": [1, 10, 12, 13, 14, 15, 17], "confirm": [1, 4, 10, 13, 15], "exact": [1, 3, 4, 5, 10, 11, 13, 14, 15, 16, 19], "break": [1, 3, 4, 5, 6, 9, 13, 14, 15, 17], "destroi": [1, 9], "hypothesi": [1, 4, 8, 10, 14, 16, 19], "unnatur": [1, 15], "instruct": [1, 2, 7, 10, 12], "realist": [1, 7, 13, 16, 17], "apprehens": 1, "overli": 1, "chemic": 1, "inert": 1, "cure": [1, 13, 14, 15], "diseas": 1, "catch": [1, 6, 11, 15], "locat": [1, 3, 4, 5, 6, 9, 15], "wider": [1, 6, 9, 10, 15], "man": [1, 4, 17], "salari": 1, "upton": 1, "sinclair": 1, "couldn": [1, 4, 7, 14, 15, 16], "assumpt": [1, 4, 5, 6, 9, 10, 11, 17], "hilari": 1, "major": [1, 4, 5, 9, 11, 12, 13, 15], "immun": 1, "deceiv": 1, "flaw": [1, 2, 4, 11, 12], "hide": [1, 4, 5, 9, 10], "outright": 1, "unintention": 1, "slant": 1, "fabric": 1, "occasion": [1, 2, 3, 4], "clean": [1, 4, 5, 7, 16], "malici": 1, "profil": 1, "alleg": 1, "cyril": 1, "burt": 1, "andrew": 1, "wakefield": 1, "accus": [1, 12], "mmr": 1, "vaccin": 1, "autism": 1, "hwang": 1, "woo": 1, "suk": 1, "falsifi": 1, "stem": 1, "hoax": 1, "joke": [1, 12, 13], "eventu": [1, 2, 7, 9, 10, 11], "discov": [1, 2, 5, 9, 11, 12, 13, 14, 15, 16, 17], "discredit": 1, "piltdown": 1, "sokal": [1, 12, 19], "misrepresent": 1, "headlin": 1, "misrepres": 1, "dishonesti": 1, "due": [1, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "sophist": [1, 4, 17], "simpson": 1, "paradox": [1, 19], "inconveni": 1, "variant": 1, "detect": [1, 5, 13, 14, 15, 16], "misdesign": 1, "built": [1, 2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 16, 17], "correctli": [1, 2, 4, 11, 12, 15, 16, 17], "wrongli": 1, "sneaki": [1, 10, 12, 13], "dabbl": 1, "add": [1, 2, 3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "materi": [1, 5, 9, 10, 14], "reader": [1, 4, 5, 9, 10, 11, 12, 13, 14, 15, 16, 17], "unintent": 1, "eras": 1, "hoc": [1, 15], "hypothesis": [1, 13], "softwar": [1, 2, 3, 4, 11, 13, 14, 15], "unacknowledg": 1, "invent": [1, 2, 4, 11, 12], "reanalys": 1, "acknowledg": [1, 16, 17], "censor": 1, "pervas": 1, "journal": [1, 11, 12, 19], "publish": [1, 2, 6, 9, 11, 12, 13, 17, 19], "submit": 1, "finnegan": 1, "wake": [1, 13], "internalis": 1, "accept": [1, 3, 4, 7, 8, 9, 10, 11, 12, 14, 15], "friend": [1, 4, 5, 7, 9, 13, 14], "stuf": 1, "null": [1, 13, 14, 15, 16, 17], "ioannidi": [1, 19], "2005": [1, 5, 12, 19], "depress": [1, 14], "titl": [1, 3, 10, 12, 13, 14, 15, 16, 17], "k\u00fchberger": [1, 19], "2014": [1, 19], "blindingli": [1, 10], "gullibl": 1, "automat": [1, 5, 10, 12, 15, 16, 19], "stereotyp": 1, "meant": [1, 2, 3, 11, 13, 15], "comprehens": [1, 3, 4, 6, 10, 16], "volum": 1, "justic": 1, "tightli": [1, 9, 13], "briefli": [1, 3, 4, 7, 11, 12, 13, 14, 15, 17], "white": [1, 3, 5, 7, 10, 11, 15, 19], "coat": [1, 10], "minut": [1, 5, 14], "search": [1, 3, 5, 6, 11, 14, 15], "dozen": [1, 4, 7, 9], "presidenti": 1, "indian": 1, "congress": 1, "1938": [1, 4], "sourc": [1, 2, 4, 5, 8, 10, 11, 14, 16, 20], "en": [1, 17], "wikiquot": 1, "org": [1, 10, 17], "wiki": [1, 17], "ronald_fish": 1, "awkward": [1, 4, 16], "oldest": [1, 12], "outdat": 1, "embarrass": 1, "wrote": [1, 2, 3, 6, 7, 10, 12, 13, 14, 15, 17], "revisit": [1, 3, 4, 9, 11, 15], "2018": 1, "karyotyp": 1, "ah": [1, 3, 4, 6, 12, 15], "daniel": [1, 4, 20], "giveawai": 1, "pronoun": 1, "default": [1, 3, 4, 5, 6, 10, 12, 13, 14, 15, 16, 17], "authori": 1, "voic": 1, "updat": [1, 10, 20], "besid": [1, 4, 9, 10, 13, 14, 15], "throughout": [1, 4, 5, 6, 8, 9, 11, 14, 15, 16, 17], "nicknam": 1, "strictli": [1, 4, 7, 11, 13, 14, 15, 17], "energi": 1, "heat": [1, 3], "cute": [1, 7], "annoyingli": [1, 12], "traditionalist": 1, "sigh": [1, 4, 14], "confus": [1, 3, 4, 5, 6, 9, 10, 11, 12, 14, 15, 16, 17], "afraid": [1, 8, 15], "fanci": [1, 4, 6, 7, 8, 15, 17], "dealt": [1, 3], "covari": [1, 4, 15, 19], "pass": [1, 4, 6, 7, 9, 12, 14, 15, 17], "comfort": [1, 2, 4, 5, 6, 9, 10, 11, 12, 13, 16], "argu": [1, 2, 3, 4, 6, 10, 11, 13, 15, 17], "disingenu": 1, "googl": [1, 2, 3], "scotsman": 1, "fallaci": 1, "emploi": 1, "ostens": 1, "whose": [1, 2, 4, 5, 9, 10, 11, 13], "fraudul": 1, "childish": 1, "robot": [2, 4, 9, 12, 17], "roger": [2, 6], "zelazni": [2, 6], "download": 2, "soon": [2, 3, 7, 12, 14, 15, 16], "push": 2, "button": [2, 9, 10, 14, 15], "goal": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17], "system": [2, 3, 5, 10, 11, 17, 19], "arguabl": [2, 10], "easiest": [2, 4, 5, 7, 9, 11, 12, 13, 14, 15, 16], "program": [2, 3, 5, 9, 14, 15], "defin": [2, 3, 4, 7, 9, 11, 12, 13, 14, 15, 16, 17], "anywai": [2, 4, 5, 7, 9, 12, 13, 14, 15, 16], "excel": [2, 3, 4, 6, 9, 12, 14, 15], "mindless": [2, 4, 5, 9], "repetit": [2, 9, 13, 14, 16], "pencil": [2, 14], "pedagog": [2, 7], "spreadsheet": [2, 5], "microsoft": 2, "furthermor": [2, 6], "auto": 2, "format": [2, 3, 4, 5, 7, 9, 10, 12, 13, 14, 15], "habit": [2, 4, 5], "dug": 2, "hole": 2, "proprietari": 2, "commerci": [2, 14], "packag": [2, 3, 4, 6, 10, 11, 12, 13, 14, 15, 16], "bui": 2, "glossi": 2, "compani": [2, 9, 10, 19], "shadowi": 2, "husk": 2, "cheapli": 2, "full": [2, 3, 4, 5, 11, 13, 14, 15, 16, 17], "winc": 2, "licenc": 2, "staggeringli": 2, "tag": 2, "The": [2, 3, 5, 6, 7, 8, 19, 20], "model": [2, 3, 5, 9, 10, 11, 19], "suck": [2, 14, 17], "blame": [2, 3, 17], "shell": [2, 7], "free": [2, 8, 11, 12, 14, 15, 20], "exorbit": 2, "licens": [2, 20], "appreci": [2, 3, 17], "extens": [2, 3, 5, 11, 14], "modul": [2, 3, 4, 9, 13, 14], "wide": [2, 5, 10, 13, 14, 15, 16, 17], "extend": [2, 3, 5, 8, 9, 10, 14, 15, 16, 17], "freeli": 2, "avail": [2, 3, 4, 5, 7, 8, 10, 11, 14], "machin": [2, 3, 7, 8], "art": [2, 7, 8, 15], "simpler": [2, 4, 5, 7, 9, 13, 14, 15, 16], "expert": [2, 8], "psycholog": [2, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 16, 17, 19], "research": [2, 4, 5, 6, 9, 10, 12, 13, 14, 15, 17, 19], "onlin": [2, 3, 5], "autom": [2, 15], "artifici": [2, 16], "vision": 2, "speech": 2, "recognit": 2, "quirk": [2, 3, 11], "stuck": [2, 17], "strength": [2, 5, 6, 10, 13, 15, 17], "outweigh": [2, 11], "ok": [2, 3, 4, 5, 6, 7, 9, 14, 15], "text": [2, 3, 4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 16, 20], "presum": [2, 4, 5, 6, 12], "instructor": 2, "access": [2, 3, 4, 6, 10, 12, 14, 15, 20], "librari": [2, 4, 5, 6, 19], "availab": 2, "rich": [2, 3, 17], "ecosystem": [2, 3], "settl": [2, 4, 9], "frustrat": [2, 4, 11, 12, 13, 15], "varieti": [2, 5, 13, 14, 16], "anaconda": [2, 3], "conscious": 2, "numpi": [2, 3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "scipi": [2, 3, 4, 9, 10, 11, 13, 14, 15, 17], "pingouin": [2, 3, 4, 13, 14, 15, 16], "stabl": 2, "cloud": [2, 11], "interfac": 2, "colab": [2, 3], "upload": 2, "analyz": [2, 14], "sensit": [2, 4, 15], "doubt": [2, 4, 11, 15], "safer": [2, 4, 17], "enrypt": 2, "send": [2, 5, 7], "file": [2, 4, 6, 7, 10, 12, 13, 14, 15], "id": [2, 6, 7, 12, 13], "integr": [2, 7, 9], "develop": [2, 3, 4, 7, 10, 12, 14, 16], "web": 2, "jupyt": [2, 3, 5, 7, 12], "notebook": [2, 3, 5, 7, 12], "unless": [2, 3, 4, 5, 6, 7, 10, 11, 12, 14, 15], "otherwis": [2, 3, 6, 7, 10, 11, 12, 13, 17], "reccomend": [2, 14], "assembl": 2, "usabl": [2, 6], "block": [2, 3, 8, 12, 13, 14], "copi": [2, 3, 6, 7, 13, 14, 15, 17], "past": [2, 3, 4, 6, 7, 10, 15, 17], "deviat": [2, 9, 12, 14, 15, 16, 19], "seri": [2, 3, 4, 5, 6, 7, 10, 12, 15], "plain": [2, 3, 5, 15, 17], "forgot": [2, 4], "caption": [2, 13, 14, 15, 16], "link": [2, 7, 11, 15], "elsewher": [2, 14, 15], "anywher": [2, 3, 4, 6, 10, 12], "delet": [2, 3, 5, 15], "complain": [2, 7, 17], "hit": [2, 9], "enter": [2, 4, 6, 13, 15], "execut": [2, 3, 4, 7], "screen": [2, 4, 6], "extract": [2, 3, 4, 9, 15, 16], "sum": [2, 3, 4, 6, 7, 9, 12, 13, 15, 17], "print": [2, 3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17], "respons": [2, 4, 6, 9, 10, 11, 12, 13], "syntaxerror": [2, 6], "cannot": [2, 3, 4, 5, 8, 9, 10, 11, 12, 14, 16, 17], "liter": [2, 4, 6, 9, 11, 12, 15, 17], "spit": [2, 14, 15], "messag": [2, 3, 7, 12, 17], "keyboard": 2, "countri": [2, 4, 10, 11], "upset": 2, "legitim": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12], "user": [2, 3, 5, 12], "nonsens": [2, 5, 13, 17], "whing": [2, 4], "shift": [2, 5, 6, 9, 11, 14, 17], "press": [2, 12, 19], "mindlessli": 2, "autocorrect": 2, "automaton": [2, 4, 5], "overrul": 2, "absurdli": 2, "uptight": 2, "redund": 2, "howl": 2, "anger": 2, "character": 2, "notori": 2, "inflex": 2, "liber": [2, 17], "zealous": 2, "conserv": [2, 12, 14, 17], "indent": [2, 7, 15], "enforc": [2, 17], "iron": [2, 10], "fist": 2, "lazi": [2, 3, 9, 10, 13, 14], "associ": [2, 4, 6, 7, 8, 9, 10, 11, 13, 14, 15, 16, 17, 19], "arithmet": 2, "background": [2, 3, 5, 9, 10, 13], "extra": [2, 4, 6, 10, 15], "straight": [2, 4, 5, 11, 12, 13, 15, 16], "primari": [2, 9], "input": [2, 3, 4, 6, 7, 15, 16], "output": [2, 4, 5, 6, 7, 11, 12, 13, 14, 15, 16], "333": [2, 3, 4, 6], "57": [2, 4, 9, 13, 15], "61": [2, 4, 5, 10, 11, 14, 15, 16], "3477": 2, "integ": [2, 3, 4, 5, 7, 10], "modulu": 2, "ago": [2, 3, 15], "listen": [2, 11, 13], "n": [2, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17, 19], "th": [2, 4, 12, 13, 14, 15, 16], "squar": [2, 3, 4, 6, 9, 10, 11, 12, 13, 15, 17, 19, 20], "cube": [2, 4], "4th": 2, "equat": [2, 4, 9, 10, 12, 13, 14, 15, 16, 17], "625": 2, "inde": [2, 4, 5, 8, 9, 10, 13, 14, 15, 16], "bonu": 2, "save": [2, 4, 6, 7, 12, 13, 14, 15, 16], "interim": [2, 17], "taught": [2, 10, 12, 13, 15, 17], "bedma": 2, "racket": 2, "xponent": 2, "ivis": 2, "ultipl": 2, "ddition": 2, "ubtract": 2, "continu": [2, 3, 4, 5, 6, 7, 8, 9, 10, 13, 14, 15, 17], "enclos": 2, "bracket": [2, 3, 4, 6, 12, 15], "resolv": [2, 13], "unsur": 2, "measur": [2, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19], "delv": 2, "harri": 2, "potter": 2, "350": [2, 13], "sale": [2, 3], "scene": 2, "rang": [2, 5, 6, 7, 9, 10, 11, 12, 14, 15, 16, 17], "properti": [2, 3, 4, 5, 6, 9, 10, 14, 15], "contain": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16], "direct": [2, 5, 6, 10, 13, 15, 19], "sign": [2, 3, 4, 6, 12, 13], "quest": 2, "strategi": [2, 3, 8, 12, 14, 15, 16, 17], "royalti": 2, "2450": 2, "revenu": 2, "verifi": [2, 4, 16], "straightforward": [2, 3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16], "reassign": 2, "psychotrop": 2, "donat": 2, "550": 2, "3000": 2, "overwrit": [2, 7], "sweet": [2, 3, 7, 13], "impli": [2, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "hourli": 2, "wage": [2, 4], "dismal": 2, "1968": 2, "dictionari": [2, 6, 12], "pow": 2, "decim": [2, 3, 6, 14, 15], "speak": [2, 3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17], "convert": [2, 3, 4, 5, 7, 10, 11, 12, 13, 14, 15, 16, 17], "float": [2, 4], "fyi": 2, "quickli": [2, 3, 5, 9, 14, 16], "content": [2, 3, 4, 7, 9, 11, 12, 14], "loui": 3, "sullivan": 3, "alongsid": 3, "build": [3, 6, 10, 12, 14, 15, 16, 17], "broadli": [3, 4, 6], "mechan": [3, 6, 7, 9, 11, 13, 14, 16], "navig": [3, 7], "frame": [3, 10, 12, 13, 14, 16], "formula": [3, 4, 9, 12, 13, 16, 17], "document": [3, 7, 9, 10, 15], "avenu": 3, "assist": 3, "foundat": [3, 9, 10, 11, 19], "tackl": [3, 10], "charact": [3, 4, 6, 7, 11, 13, 14], "script": [3, 5], "seeker": 3, "1415": 3, "lover": 3, "7183": 3, "keeper": 3, "539539450000001": 3, "code": [3, 4, 5, 6, 7, 9, 10, 11, 13, 14, 15, 16, 20], "readabl": [3, 4, 5, 12], "explanatori": 3, "command": [3, 4, 5, 6, 7, 9, 11, 12, 13, 14, 15, 16], "peculiar": [3, 16], "flexibl": [3, 11], "welcom": 3, "newcom": 3, "kindli": [3, 5, 12], "reinvent": 3, "wheel": 3, "achiev": [3, 4, 5, 6, 7, 9, 10, 13, 15, 16], "shoulder": 3, "cuebal": 3, "webcom": 3, "xkcd": 3, "handful": 3, "somewher": [3, 4, 9, 11, 14, 17], "boil": 3, "hang": [3, 6, 7], "enviro": 3, "recommend": [3, 13, 15, 17], "concert": 3, "suit": [3, 5, 9, 12, 13], "click": [3, 9, 10, 14, 15], "dedic": 3, "matplotlib": [3, 4, 5, 9, 10, 11, 13, 14, 15, 16], "statmodel": [3, 15], "scikit": 3, "earli": [3, 7, 11, 13, 14], "snippet": 3, "virtual": 3, "browser": 3, "nameerror": 3, "traceback": [3, 4, 7], "er": [3, 12], "luckili": [3, 4, 5, 6, 7, 13, 15], "resort": [3, 14], "cumbersom": [3, 6], "portion": 3, "renam": [3, 4, 5, 6], "height": [3, 5, 9], "abbrevi": [3, 4, 5, 17], "thu": [3, 4, 5, 9, 12, 13, 14, 16], "np": [3, 4, 6, 9, 10, 11, 12, 13, 14, 15], "conveni": [3, 6, 10, 11, 12, 13, 15], "recogn": [3, 7], "stick": [3, 4, 6, 7, 12, 14, 15, 16], "sake": [3, 4, 5, 6, 12, 13, 15], "fun": [3, 4, 15, 20], "why_you_gotta_be_so": 3, "loos": 3, "advic": [3, 5, 6, 7, 11, 12, 13, 14, 16], "mental": [3, 12, 13, 15], "familar": 3, "dwell": 3, "peak": [3, 5, 9], "ill": 3, "advisedli": 3, "info": [3, 5], "0x111b6a4d0": 3, "op": [3, 17], "kage": 3, "__init__": 3, "py": [3, 7, 10, 11, 12], "ge": 3, "ython3": 3, "support": [3, 7, 11, 13, 15], "dir": [3, 4], "stage": [3, 5, 6, 8, 10, 11, 14], "anymor": [3, 4, 9, 13, 14, 16], "rid": 3, "undo": [3, 5], "forev": [3, 10], "del": 3, "reset": [3, 6], "harm": 3, "unus": 3, "comma": 3, "separ": [3, 4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 16], "store": [3, 4, 5, 6, 7, 9, 10, 12, 13, 15], "ipynb": 3, "digress": [3, 6, 7, 9, 11, 12, 15], "excit": [3, 4, 6, 7, 14, 17, 20], "window": [3, 11, 15], "maco": 3, "linux": 3, "root": [3, 4, 9, 10, 12, 13, 15], "folder": [3, 10, 11], "directori": 3, "drive": [3, 8], "ethan": [3, 4, 5, 12, 14, 20], "pythonbook": [3, 4, 5, 6, 12, 13, 14, 15, 16, 17], "lsp": 3, "pdf": [3, 4, 9, 10, 12, 13, 14], "unix": 3, "mac": 3, "spirit": [3, 4], "backslash": 3, "forward": 3, "slash": 3, "tutori": [3, 13], "commonli": [3, 4, 6, 9, 12, 13, 14], "bear": [3, 10, 11, 15], "booksal": 3, "row": [3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 16, 17], "willi": [3, 6], "nilli": [3, 6], "haven": [3, 4, 5, 6, 8, 9, 10, 11, 12, 14, 15, 16, 17], "suffic": [3, 6, 14], "column": [3, 4, 5, 12, 13, 14, 15, 16, 17], "github": 3, "parenthes": [3, 12], "nicer": [3, 14, 15], "versatil": 3, "loop": [3, 10, 15], "calcul": [3, 5, 6, 9, 11, 12, 13, 17, 19], "to_csv": 3, "desktop": [3, 5], "my_fil": 3, "export": [3, 5], "bunch": [3, 4, 6, 7, 9, 10, 12, 13, 14, 15], "fit": [3, 5, 9, 14, 16, 19], "dataset": [3, 4, 10], "z": [3, 4, 14, 15], "outcom": [3, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 17], "unexpect": 3, "quotat": [3, 6], "forgotten": [3, 12, 13, 16], "depressingli": 3, "hello": 3, "aka": [3, 15], "int": [3, 7, 10], "14": [3, 4, 5, 6, 7, 9, 10, 12, 13, 14, 15, 16, 17], "foibl": 3, "storag": 3, "4392": 3, "cow": 3, "75": [3, 4, 5, 9, 13, 15, 17], "pig": 3, "21": [3, 4, 5, 6, 9, 10, 12, 13, 14, 15, 16, 19], "hen": 3, "animals_tot": 3, "anim": [3, 12, 19], "103": [3, 7, 10, 14, 19], "face": [3, 4, 5, 9, 11, 14, 15, 17], "fraction": [3, 11], "234": [3, 6], "000003": [3, 13], "behavior": [3, 15, 19], "binari": [3, 10, 13], "round": [3, 5, 8, 12, 13, 14, 15, 16, 17], "3333333333333333": 3, "ten": [3, 11], "0001": 3, "1001": 3, "infinit": [3, 9, 10, 13], "repeat": [3, 6, 9, 10, 12, 13, 14, 15, 16, 17], "30000000000000004": 3, "mathematician": [3, 9, 10, 12], "blissfulli": 3, "unawar": [3, 11], "halfwai": 3, "nearest": 3, "neares": 3, "_": [3, 6, 7, 10, 12, 13, 14, 15, 16], "musn": 3, "tangent": 3, "esoterica": 3, "odditi": [3, 11], "conceiv": [3, 11], "000000000000001": 3, "0000000000000001": 3, "ugh": [3, 4, 6], "yup": [3, 12], "64": [3, 4, 12, 13, 15, 19], "processor": 3, "probabi": [3, 4, 7], "0000000000000009": 3, "alright": [3, 7], "p": [3, 4, 7, 9, 12, 13, 14, 15, 16, 19], "cat": [3, 7, 14], "appl": [3, 4, 6, 7, 13], "supercalifragilisticexpialidoci": [3, 7], "confusingli": 3, "42": [3, 4, 6, 7, 10, 13, 15], "8374": 3, "87": [3, 10, 12, 19], "gift": 3, "paperweight": 3, "doorstop": 3, "weapon": 3, "am": [3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 17, 20], "stringss": 3, "catcatcatcatcat": 3, "whet": 3, "appetit": 3, "galaxi": 3, "IN": 3, "split": [3, 4, 6, 15], "l": [3, 7, 19], "r": [3, 4, 5, 9, 12, 13, 14, 16, 19, 20], "join": [3, 10], "ax": [3, 4, 5, 9, 10, 11, 13, 14, 15, 16], "xlxoxnxgx": 3, "xtxixmxex": 3, "xaxgxox": 3, "xixnx": 3, "xax": 3, "xgxaxlxaxxxyx": 3, "xfxaxrx": 3, "xaxwxaxi": 3, "replac": [3, 5, 6, 7, 10, 13, 16], "suburb": 3, "a_long_time_ago_in_a_galaxy_far_far_awai": 3, "fantast": [3, 20], "die": [3, 9], "christma": 3, "movi": [3, 15], "pronounc": 3, "conson": 3, "gif": 3, "opportun": [3, 4, 17], "arug": 3, "typeerror": [3, 7], "126": [3, 15], "minimum": [3, 4, 10, 13, 14], "arguement": [3, 5], "shop": 3, "pear": [3, 6, 7], "banana": [3, 6, 7], "65": [3, 4, 12, 13, 15, 17, 19], "mix": [3, 7, 15, 19], "309": [3, 19], "enamor": 3, "realiz": [3, 7, 13, 14, 20], "strang": [3, 4, 6, 13, 15], "zeroeth": 3, "europ": [3, 17, 19], "floor": 3, "backward": 3, "stumbl": 3, "attribut": [3, 4, 6, 9, 11, 15, 16], "o": [3, 7, 11, 12, 19], "toi": [3, 4, 6, 11, 13, 16], "unknown": [3, 9, 11, 13, 15], "len": [3, 4, 5, 6, 7, 10, 12, 13, 14, 15], "programm": 3, "es": [3, 4, 13], "mutabl": 3, "immut": [3, 11], "shopping_list": 3, "shopping_tupl": 3, "grape": [3, 6], "appropri": [3, 4, 6, 9, 10, 11, 13, 15], "funni": [3, 4, 5, 10, 13, 15, 16], "truli": [3, 4, 6, 12, 15], "syntax": [3, 4, 5, 6], "pair": [3, 4, 9, 10, 14, 15], "entri": [3, 4, 12, 14, 16], "pet": 3, "my_pet": 3, "d2": [3, 17], "sleep": [3, 4, 5, 7, 14, 15], "dislik": 3, "loud": [3, 7], "nois": 3, "plan": [3, 14, 16], "my_week": 3, "todo": 3, "feed": [3, 4, 6, 12, 13], "fix": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17, 19], "demonstr": [3, 7, 9, 10, 11, 12, 14], "owl": 3, "bar": [3, 4, 9, 10, 13, 14, 15, 16], "burrow": 3, "barn": 3, "screech": 3, "spot": [3, 7], "finch": 3, "goldfinch": 3, "crossbil": 3, "redpol": 3, "grosbeak": 3, "sparrow": 3, "song": [3, 11], "throat": 3, "captain": 3, "jack": 3, "bird": 3, "mishmosh": 3, "bedfellow": 3, "judgi": 3, "element": [3, 4, 6, 7, 10, 11, 12, 13, 15, 17], "uniqu": [3, 4, 5, 10, 11, 12, 14, 16], "favorit": [3, 4], "color": [3, 4, 9, 10, 11, 12, 13, 14, 15], "our_color": 3, "red": [3, 10, 12, 15], "orang": [3, 4, 5, 13, 15], "yellow": 3, "sentenc": [3, 7, 14, 17], "wonder": [3, 4, 6, 7, 9, 10, 11, 12, 13, 14, 15, 17], "v": [3, 4, 5, 10, 12, 13, 19], "u": [3, 10], "blank": [3, 9], "space": [3, 5, 9, 15], "exclam": 3, "toe": 3, "remeb": 3, "lowercas": [3, 7, 16], "__add__": 3, "__class__": 3, "__contains__": 3, "__delattr__": 3, "__dir__": 3, "__doc__": 3, "__eq__": 3, "__format__": 3, "__ge__": 3, "__getattribute__": 3, "__getitem__": 3, "__getnewargs__": 3, "__gt__": 3, "__hash__": 3, "__init_subclass__": 3, "__iter__": 3, "__le__": 3, "__len__": 3, "__lt__": 3, "__mod__": 3, "__mul__": 3, "__ne__": 3, "__new__": 3, "__reduce__": 3, "__reduce_ex__": 3, "__repr__": 3, "__rmod__": 3, "__rmul__": 3, "__setattr__": 3, "__sizeof__": 3, "__str__": 3, "__subclasshook__": 3, "capit": [3, 7, 12], "casefold": 3, "center": [3, 6, 13, 14, 16], "encod": 3, "endswith": 3, "expandtab": 3, "format_map": 3, "isalnum": 3, "isalpha": 3, "isascii": 3, "isdecim": 3, "isdigit": 3, "isidentifi": 3, "islow": 3, "isnumer": 3, "isprint": 3, "isspac": 3, "istitl": 3, "isupp": 3, "ljust": 3, "lstrip": 3, "maketran": 3, "partit": 3, "removeprefix": 3, "removesuffix": 3, "rfind": 3, "rindex": 3, "rjust": 3, "rpartit": 3, "rsplit": 3, "rstrip": 3, "splitlin": 3, "startswith": [3, 7], "strip": [3, 5, 7, 15], "swapcas": 3, "translat": [3, 4, 5, 7, 9, 10, 11, 12, 13, 15, 16, 20], "zfill": 3, "yike": [3, 4, 6, 7], "__": 3, "front": [3, 13, 15], "meddl": 3, "1231": 3, "__class_getitem__": 3, "__delitem__": 3, "__iadd__": 3, "__imul__": 3, "__reversed__": 3, "__setitem__": 3, "append": [3, 4, 7, 10, 11, 15], "insert": [3, 10], "pop": [3, 8, 9, 10, 11, 13, 17], "attributeerror": [3, 4], "113": [3, 10], "friendli": [3, 4, 12], "342": 3, "zebrafish": 3, "hei": [3, 5, 10], "cool": [3, 4, 7, 11, 12, 13, 14], "retriev": 3, "mishmsoh": 3, "layer": 3, "enorm": [3, 9], "progress": [3, 7, 9, 12], "depth": [3, 9, 10], "345": [3, 19], "432": 3, "575": 3, "43": [3, 12, 13, 14, 15], "32": [3, 4, 5, 11, 12, 13, 14, 16], "565": 3, "233": [3, 14], "865": 3, "45645": 3, "45": [3, 4, 5, 9, 13, 14, 15, 16], "332": 3, "453": [3, 16], "346": 3, "324": [3, 4, 7], "fifth": 3, "seventh": [3, 8], "17": [3, 4, 5, 6, 7, 9, 10, 13, 14, 15, 16, 19], "primarili": [3, 8, 13, 16], "crucial": [3, 7, 10], "wrangl": [3, 5, 14], "353": 3, "minim": 3, "nasti": [3, 7, 15], "bicker": 3, "chiefli": 3, "unpleas": 3, "yeah": [3, 8, 9, 15], "haha": [3, 4, 6], "compact": [4, 5, 13, 15], "understood": [4, 9, 12], "oppos": [4, 5, 9, 13, 15, 16], "inferenti": [4, 9, 10, 11, 17], "synonym": 4, "load": [4, 5, 7, 12, 13], "afl_finalist": [4, 5], "afl_margin": [4, 5], "githubusercont": [4, 5, 6, 12, 13, 14, 15, 16, 17], "ethanwe": [4, 5, 6, 12, 13, 14, 15, 16, 17], "footbal": [4, 5, 14], "leagu": [4, 5], "afl": [4, 5, 13], "win": [4, 5, 8, 9, 10, 11, 13], "margin": [4, 5, 6, 11, 12, 13, 16, 17], "176": [4, 5], "game": [4, 5, 8, 9, 10, 14], "season": [4, 5, 10], "400": [4, 5, 7, 8], "team": [4, 5, 9, 10], "200": [4, 7, 12], "period": [4, 5, 12], "1987": [4, 5], "56": [4, 5, 9, 12, 13, 15, 19], "31": [4, 5, 6, 10, 12, 13, 16, 17], "171": 4, "172": [4, 15], "38": [4, 5, 13, 14, 15, 19], "173": 4, "29": [4, 5, 6, 9, 11, 13], "174": 4, "175": [4, 19], "pictur": [4, 5, 8, 9, 10, 11, 14, 15, 17], "histogram": [4, 9, 10, 13, 14, 15, 16, 17], "histplot": [4, 5, 9, 10, 11, 13, 14, 15, 16], "graph": [4, 9, 10, 14, 19], "represent": [4, 15], "frequenc": [4, 5, 6, 9, 10, 11, 12, 14, 16], "despin": [4, 5, 9, 10, 11, 12, 13, 14, 15, 16], "athough": 4, "gist": [4, 9], "condens": [4, 12], "li": [4, 9, 10, 11, 15, 16, 17], "frac": [4, 9, 10, 12, 13, 14, 15, 16, 17], "183": 4, "36": [4, 11, 13, 14, 15], "excus": [4, 15], "notat": [4, 9, 10, 11, 13, 14, 15, 16, 17], "attach": [4, 6, 9, 10, 11, 15], "subscript": [4, 12, 13, 16, 17], "x_n": 4, "x_i": [4, 10, 13, 15], "x_3": [4, 9], "x_4": [4, 9], "x_5": [4, 9], "x_": [4, 13, 15, 16], "summat": [4, 12, 14, 16], "scriptstyl": 4, "shorten": [4, 11, 12], "sum_": [4, 10, 12, 13, 14, 15, 16], "clarifi": 4, "box": [4, 9, 10, 11, 12, 15], "circumst": [4, 11, 14], "vector": [4, 6, 10, 12, 13, 15], "6213": 4, "dtype": [4, 6, 12], "int64": [4, 6, 12], "whatsoev": [4, 13], "slice": [4, 7], "ado": 4, "sudden": 4, "amongst": 4, "rout": 4, "30113636363637": 4, "ascend": [4, 6], "mathbf": 4, "sixth": 4, "sort_valu": [4, 6, 14], "sorted_margin": 4, "84": [4, 10, 13, 14, 15, 19], "165": 4, "117": [4, 10], "123": 4, "136": [4, 16], "peek": [4, 5, 6, 17], "centr": [4, 5, 6, 15, 17], "graviti": [4, 17], "smaller": [4, 10, 12, 13, 14, 15, 16, 17], "nomin": [4, 5, 12, 13, 17], "scale": [4, 5, 6, 9, 10, 12, 13, 14, 15, 19, 20], "ordin": [4, 13], "interv": [4, 5, 6, 13, 14, 15, 17], "ratio": [4, 5, 9, 12, 13, 14, 15, 16, 17, 20], "asymmetr": 4, "bodi": 4, "drag": 4, "tail": [4, 5, 6, 9, 11, 13], "bob": 4, "incom": [4, 15], "kate": 4, "jane": 4, "58": [4, 6, 11, 13, 16], "bill": [4, 10], "043": [4, 15], "750": 4, "500": [4, 5, 11], "mock": 4, "septemb": [4, 7], "senior": 4, "commonwealth": 4, "bank": 4, "sidewai": 4, "craig": [4, 12, 19], "jame": [4, 15], "chief": 4, "economist": [4, 10], "trade": [4, 13, 15], "arm": [4, 10], "commsec": 4, "mortgag": 4, "rent": 4, "oblivi": 4, "market": 4, "cba": 4, "war": [4, 8], "doomsay": 4, "intern": [4, 15], "household": 4, "citi": [4, 9, 12, 17], "nationwid": 4, "san": [4, 16], "francisco": 4, "york": [4, 19], "auckland": 4, "vancouv": 4, "analyst": [4, 5, 7, 17], "led": [4, 8, 14], "bottom": [4, 5, 9, 10, 13, 15], "demographia": 4, "um": [4, 13, 14, 17], "seriou": [4, 6, 11, 14], "discrep": [4, 12, 13, 17], "domest": 4, "mid": [4, 6], "asset": 4, "earn": 4, "wealthiest": 4, "ralph": 4, "norri": 4, "multi": 4, "million": [4, 10], "packet": 4, "underst": 4, "quantit": [4, 5], "organis": [4, 6, 8, 12, 14, 16], "elementari": [4, 9], "insight": 4, "lender": 4, "vest": 4, "swath": 4, "secur": [4, 5], "loan": 4, "outlier": [4, 5, 15], "belong": [4, 6, 10, 12, 14], "action": [4, 7, 11, 15, 17], "dri": 4, "suspici": [4, 5, 8, 11, 13, 15], "trickier": [4, 9, 11, 12, 13, 14, 16], "robust": [4, 15, 17, 19], "remedi": [4, 13, 14], "discard": 4, "smallest": [4, 9, 11, 13, 14, 15], "preserv": [4, 6, 15, 16, 17], "regular": [4, 6, 7, 13, 14, 16], "famili": [4, 14, 15], "span": [4, 5, 6], "tempt": [4, 5, 11, 12, 13, 14, 15, 16, 17], "rest": [4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16], "dataset2": 4, "trim_mean": 4, "dataset3": 4, "head": [4, 5, 6, 9, 10, 11, 12, 13, 14, 15, 17], "finalist": [4, 5], "melbourn": [4, 5], "carlton": [4, 5], "essendon": [4, 5], "geelong": [4, 5], "16": [4, 6, 7, 9, 10, 12, 13, 14, 15], "collingwood": [4, 5], "west": [4, 5], "coast": [4, 5], "22": [4, 9, 10, 11, 12, 13, 14, 15, 16], "glad": 4, "value_count": [4, 5, 12, 14], "39": [4, 5, 10, 11, 14, 15, 16], "north": [4, 5], "27": [4, 5, 6, 14, 15, 19], "26": [4, 5, 6, 13, 14, 16], "adelaid": [4, 5, 9, 10, 17], "sydnei": [4, 5, 9], "brisban": [4, 5], "st": [4, 5, 10, 15, 19], "kilda": [4, 5], "western": [4, 5], "bulldog": [4, 5], "port": [4, 5, 10], "richmond": [4, 5], "fremantl": [4, 5], "max": [4, 5, 10, 13, 15], "freq": [4, 12], "bet": [4, 8, 9, 11, 15, 17], "consol": [4, 7], "prize": [4, 13], "modal": 4, "spread": [4, 5], "minu": [4, 12, 13, 14, 16], "maximum": [4, 9, 10, 13], "116": [4, 5], "min": [4, 5, 12, 13, 15], "omit": [4, 9, 11, 13, 14], "quantifi": [4, 10, 11, 14, 17], "worst": [4, 17], "unduli": 4, "110": [4, 10], "iqr": 4, "25th": [4, 5], "quantil": [4, 6, 10, 13, 15], "75th": [4, 5], "percentil": [4, 5, 6, 10, 12], "10th": [4, 8], "50th": 4, "folk": [4, 10, 11, 17], "quarter": 4, "slowli": [4, 11, 14], "52": [4, 12, 13, 14, 19], "irritatingli": [4, 15], "acronym": [4, 10], "ambigu": [4, 11, 12, 13, 17], "aad": 4, "unambigu": [4, 9, 13], "mbox": [4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "labori": [4, 10, 14], "x_bar": 4, "ab": [4, 6, 11, 15], "elegantli": 4, "eleg": [4, 5, 15], "ordinari": [4, 13, 15], "statsmodel": [4, 10, 14, 15, 16], "pandas_mad": 4, "statsmodels_mad": 4, "var": [4, 10, 11, 13, 14], "clearer": [4, 5, 13, 14, 16], "shortli": [4, 7, 9, 11, 15, 16], "376": [4, 6], "817": [4, 19], "96": [4, 10, 13, 14, 15], "\u3164\u3164": 4, "burn": [4, 12, 13], "reveal": [4, 10, 12, 15], "fortun": [4, 5, 9, 11, 12, 13, 15, 17], "405": 4, "broken": [4, 11, 12, 14, 17], "typo": [4, 5, 7, 12], "idiot": [4, 15, 17], "tini": [4, 7, 9, 10, 11, 12, 13, 14, 15], "switch": [4, 5, 8, 9, 14, 17], "empti": [4, 5, 7, 14, 17], "squared_error": 4, "675": 4, "9718168904958": 4, "679": 4, "834512987013": 4, "hm": [4, 8, 13, 14, 15], "outlin": [4, 9, 10, 13, 16], "initi": [4, 5, 12, 14], "paramet": [4, 9, 11, 12, 13, 14, 15], "pvarianc": 4, "population_vari": 4, "sample_vari": 4, "9718168904959": 4, "mysteri": [4, 10, 13], "novel": [4, 14], "hint": [4, 11, 12, 15], "quantiti": [4, 9, 11, 12, 13, 14, 15, 16], "uninterpret": 4, "accord": [4, 11, 13, 15, 17], "footi": [4, 5, 14], "unit": [4, 6, 15], "rmsd": 4, "neatli": 4, "nobodi": 4, "clue": 4, "01": [4, 10, 11, 12, 13, 14, 15, 16, 17], "sd": [4, 9, 10], "std": [4, 5, 13, 14, 15], "dev": [4, 13, 14], "sqrt": [4, 9, 10, 12, 13, 14, 15], "stdev": [4, 10, 13], "hat": [4, 10, 12, 13, 14, 15, 16], "sigma": [4, 9, 10, 13, 14, 15], "073636359108274": 4, "thumb": [4, 15], "symmetr": [4, 6, 13], "bell": [4, 9, 10], "shape": [4, 5, 6, 10, 12, 15], "shade": [4, 5, 9, 11], "distanc": [4, 14, 15], "unreason": [4, 6, 8, 13, 17], "previous": [4, 6, 12, 13, 14, 15, 16], "07": [4, 16], "4826": 4, "manual": [4, 5, 7, 12, 13, 14, 15], "91074326085924": 4, "curv": [4, 5, 9, 10, 13], "minor": [4, 9, 10, 11], "attract": [4, 5], "hood": [4, 5, 16], "pyplot": [4, 5, 9, 10, 11, 13, 14, 15, 16], "plt": [4, 5, 9, 10, 11, 13, 14, 15, 16], "url": [4, 5, 10], "skewdata": 4, "df_skew": 4, "subplot": [4, 5, 9, 10, 13, 14, 15, 16], "figsiz": [4, 5, 9, 10, 13, 14, 15], "ax1": [4, 5, 9, 10, 13, 14], "loc": [4, 5, 6, 10, 13, 14, 16], "negskew": 4, "binwidth": [4, 9, 10, 11, 13], "02": [4, 11, 12, 15, 17], "ax2": [4, 5, 9, 10, 13, 14], "noskew": 4, "ax3": [4, 5, 13], "posskew": 4, "set_titl": [4, 5, 9, 10, 11, 13, 15], "xticklabel": [4, 10], "yticklabel": [4, 10], "tick_param": [4, 9, 10, 15], "asymmetri": [4, 11], "panel": [4, 5, 9, 10, 13, 14, 15, 16], "axi": [4, 6, 9, 10, 15], "skipna": 4, "7804075289401982": 4, "pointi": 4, "file1": 4, "kurtosisdata": 4, "file2": 4, "kurtosisdata_ncurv": 4, "df_kurtosi": 4, "mu": [4, 9, 10, 13, 14, 16], "linspac": [4, 9, 10, 12, 13, 14, 15], "norm": [4, 9, 10, 13, 14, 17], "platykurt": 4, "mesokurt": 4, "leptokurt": 4, "twinx": [4, 9, 10], "lineplot": [4, 9, 10, 11, 12, 13, 14], "40000": 4, "black": [4, 5, 7, 9, 10, 11, 12, 13, 14, 15, 17], "flat": [4, 10, 15], "set_xlim": [4, 13], "set_ylim": [4, 10, 13, 16], "25000": 4, "assess": [4, 11, 13, 14, 15, 16], "fischer": 4, "pearson": [4, 11, 12, 14, 15, 19], "10109718805638757": 4, "06434955786516161": 4, "0643495578651616": 4, "bia": [4, 10, 11, 13, 15, 17, 19], "eyebal": 4, "dramat": [4, 9], "000000": [4, 5, 12, 13, 15], "301136": [4, 5], "073636": [4, 5], "750000": [4, 5, 13], "500000": [4, 5, 12], "quartil": [4, 5], "blowout": 4, "operationalis": [4, 9, 10, 11, 15], "exce": 4, "132": [4, 6, 15], "cryptic": 4, "clinical_trial_data": 4, "df_clintrial": 4, "therapi": [4, 14, 16], "mood_gain": [4, 14, 16], "placebo": [4, 14, 16], "anxifre": [4, 14, 16], "shed": 4, "nan": [4, 13, 14, 15, 16], "883333": 4, "533854": 4, "100000": [4, 13], "425000": 4, "850000": 4, "300000": [4, 13], "800000": 4, "grumpi": [4, 5, 14, 15], "70": [4, 9, 10, 11, 12, 13, 17, 19], "shockingli": [4, 7, 14], "159": 4, "016": [4, 15], "standardis": [4, 13, 16], "lone": 4, "gotten": [4, 11, 14, 17, 20], "pseudo": 4, "z_i": 4, "transform": [4, 10, 14, 15, 16, 17], "zscore": [4, 15], "subtleti": [4, 5], "heurist": [4, 12, 13], "extravers": 4, "extravert": 4, "grumpier": [4, 15], "unusu": [4, 5, 7, 12, 15, 17], "sport": 4, "heart": [4, 9, 10, 12, 15], "fictiti": [4, 10, 14], "infant": 4, "son": [4, 10, 15], "affect": [4, 11], "nerd": [4, 7, 15], "parenthood": [4, 5, 15], "dan_sleep": [4, 5, 15], "baby_sleep": [4, 5, 15], "dan_grump": [4, 5, 15], "59": [4, 5, 9, 10, 11, 13, 15], "91": [4, 5, 10, 14, 15], "66": [4, 5, 6, 10, 13, 15], "71": [4, 5, 9, 13, 14, 15, 16], "55": [4, 5, 9, 11, 13, 14, 15], "67": [4, 5, 9, 13, 14, 15], "00000": 4, "965200": 4, "049200": 4, "71000": 4, "015884": 4, "074232": 4, "04967": 4, "011492": 4, "840000": 4, "250000": [4, 13], "41": [4, 5, 6, 11, 13, 15], "292500": 4, "030000": 4, "950000": 4, "740000": 4, "635000": 4, "070000": 4, "graphic": [4, 10, 13, 14, 16], "depict": [4, 5, 9, 10, 13, 15, 16], "grump": [4, 5, 15], "sharei": [4, 9, 10, 13, 15], "suptitl": [4, 9, 10], "readership": [4, 9, 12], "slept": [4, 15], "03": [4, 11, 12, 13, 14, 16], "sleepi": [4, 15], "scatterplot": [4, 13, 15], "set_xlabel": [4, 15, 16], "set_ylabel": [4, 15, 16], "sleep_scatter1": 4, "stronger": [4, 11, 12, 15, 17], "neater": 4, "predict": [4, 8, 9, 11, 12, 13, 14, 15, 16, 19], "sleep_scatter2": 4, "sleepier": 4, "sleep_scatt": 4, "fig2": 4, "explicit": [4, 6, 10, 11, 12, 15, 16], "tradition": [4, 10, 13, 14, 16], "r_": [4, 12, 14], "corr": [4, 14, 15], "cov": 4, "rneg": 4, "val": [4, 10, 13, 14, 15], "enumer": [4, 10, 13, 14, 15, 16], "multivariate_norm": 4, "y_i": [4, 15], "cross": [4, 12, 13, 16, 17], "unrel": 4, "magnitud": [4, 11, 14], "contribut": [4, 14, 16, 19], "oversimplif": [4, 13], "_x": 4, "_y": 4, "usag": [4, 13], "9033840374657269": 4, "matrix": [4, 6, 15, 19], "627949": [4, 15], "903384": [4, 15], "098408": [4, 15], "565964": [4, 15], "010434": [4, 15], "076479": [4, 15], "exagger": [4, 13], "benchmark": 4, "judg": [4, 11, 13, 15], "deem": [4, 11, 15], "moder": [4, 13, 14], "neglig": [4, 13, 17], "index": [4, 5, 6, 10, 12, 14, 15, 16, 17], "anscomb": [4, 19], "quartet": 4, "816": [4, 15], "y1": [4, 9, 13, 14], "04": [4, 10, 11, 13, 15, 16], "y2": [4, 9, 13, 14, 15], "74": [4, 10, 13, 15], "77": [4, 10], "y3": [4, 12, 14], "73": [4, 9, 10, 13, 14, 16, 19], "x4": 4, "y4": [4, 12], "76": [4, 13, 15], "47": [4, 6, 13, 14, 16, 19], "89": [4, 10], "81642051634484": 4, "8162365060002427": 4, "8162867394895982": 4, "8165214368885031": 4, "spectacularli": 4, "shortcom": 4, "linear": [4, 6, 14], "reward": [4, 9], "scribbl": [4, 7, 15], "rankcorr": 4, "receiv": [4, 5, 6, 13, 16], "40": [4, 6, 9, 10, 11, 12, 13, 16], "79": [4, 10, 13, 15], "85": [4, 10, 15, 17], "88": [4, 10, 14, 16], "9094019658612525": 4, "regplot": [4, 5, 10, 15], "ci": [4, 10, 13, 15, 16], "set_linestyl": 4, "lowest": [4, 6, 12, 15, 17], "laziest": 4, "semest": [4, 7, 13], "specifii": [4, 10], "ranked_hour": 4, "ranked_grad": 4, "9999999999999999": 4, "spearman": 4, "rho": 4, "skip": [4, 7, 12, 13, 14, 15], "clariti": [4, 9], "gloss": [4, 10, 14], "safest": 4, "unhelp": [4, 10], "nanmean": 4, "nanmedian": 4, "nanpercentil": 4, "nanmax": 4, "nanmin": 4, "nansum": 4, "nanstd": 4, "16496580927726": 4, "peski": 4, "var1": 4, "var2": 4, "var3": 4, "niggl": [4, 6], "demonin": 4, "demoni": 4, "ddof": 4, "nancorr": 4, "explor": [4, 7, 13, 16], "parenthood2": 4, "introducd": 4, "morn": [4, 9, 15], "976923": 4, "114494": 4, "152174": 4, "020409": 4, "046821": 4, "851574": 4, "285000": 4, "460000": 4, "200000": 4, "785000": 4, "610000": 4, "eight": [4, 14], "614723": 4, "903442": 4, "076797": 4, "567803": 4, "058309": 4, "005833": 4, "handili": 4, "untru": 4, "dropna": 4, "639498": 4, "899515": 4, "061329": 4, "586561": 4, "145558": 4, "068166": 4, "reliabl": [4, 10, 15], "paranoid": [4, 15], "cue": [4, 15], "rubbish": [4, 15], "reang": 4, "beast": 4, "wish": [4, 6], "touch": [4, 5, 6, 10], "death": [4, 5], "tragedi": 4, "josef": 4, "stalin": 4, "potsdam": 4, "1945": 4, "950": 4, "soviet": [4, 9, 19], "repress": [4, 19], "1937": 4, "ellman": [4, 19], "infam": 4, "deni": 4, "multitud": 4, "incomprehens": [4, 12], "visualis": [4, 5, 9, 15], "cold": [4, 10], "summon": 4, "saturdai": [4, 7], "lifetim": [4, 17], "gulag": 4, "dull": 4, "dread": 4, "stomach": 4, "chill": 4, "stalinist": 4, "combin": [4, 5, 6, 7, 14, 16, 17], "wipe": 4, "woman": 4, "aliv": [4, 10], "atroc": 4, "audienc": [4, 5, 12], "sole": [4, 5, 12], "non": [4, 5, 6, 7, 9, 10, 11, 12, 14, 15], "competit": [4, 8, 11, 12, 14], "greek": [4, 11, 15], "letter": [4, 6, 7, 10, 11, 12, 15, 16], "analogu": [4, 14], "alphabet": [4, 16], "pi": [4, 9], "numb": 4, "pain": [4, 5, 12, 13, 14], "dot": [4, 5, 13, 15, 16], "thorough": [4, 10], "net": [4, 17], "au": [4, 17], "09": [4, 9, 11, 13, 14, 15, 16], "3021480": 4, "htm": 4, "subfield": 4, "grappl": 4, "cope": 4, "picki": [4, 5], "refresh": [4, 15], "flip": [4, 9, 11, 12], "loss": [4, 5, 8, 10], "coolest": 4, "introduct": [4, 6, 8, 12, 14, 17, 19], "tack": [4, 6], "caution": [4, 6], "warrant": [4, 13], "meaningfulli": [4, 11], "pearsonr": 4, "spearmanr": 4, "mcar": 4, "ungrammat": 4, "edward": 5, "tuft": 5, "exploratori": 5, "stylis": 5, "redraw": [5, 15], "snow": 5, "cholera": 5, "map": [5, 9, 11, 15], "circl": 5, "outbreak": 5, "pump": 5, "1854": 5, "simplic": [5, 6, 13, 14, 15], "street": 5, "viewer": 5, "casual": 5, "dr": [5, 13], "arrang": [5, 10, 14], "Such": 5, "twofold": 5, "struggl": [5, 17], "customis": 5, "futur": [5, 10, 11, 17], "paint": 5, "canva": 5, "onto": [5, 6, 7, 9, 11, 14, 15, 16], "stroke": 5, "throw": [5, 7, 9, 15], "painter": 5, "particularli": [5, 11, 14, 15], "headach": [5, 16], "metaphor": 5, "inadvert": 5, "oil": 5, "watercolour": 5, "analog": [5, 11, 13, 14, 16, 17], "brush": [5, 13], "creativ": [5, 11], "custom": [5, 10, 12], "eas": [5, 13], "greatli": 5, "simplifi": [5, 10, 12, 16, 17], "sooner": 5, "dip": [5, 7], "stencil": 5, "impressionist": 5, "cubism": 5, "artist": 5, "impos": [5, 7, 12], "overarch": 5, "aesthet": 5, "constraint": [5, 9, 12, 13, 14, 15, 16, 17], "coher": [5, 6], "platform": 5, "specialis": [5, 7], "fibonacci": 5, "customari": [5, 7], "digit": [5, 7], "bezo": 5, "chart": [5, 9], "variabl": [5, 7, 9, 10, 12, 13, 14, 15, 16, 17, 19], "bump": [5, 15], "dive": [5, 10], "tidli": 5, "pleas": [5, 10, 13, 15], "poster": 5, "font_scal": 5, "adjust": [5, 10, 12, 13, 14, 17], "set_context": 5, "seven": [5, 14], "decent": [5, 7], "resourc": [5, 7], "contradictori": [5, 11], "site": [5, 10, 12], "stackoverflow": [5, 15], "coder": 5, "copiou": 5, "consul": 5, "cramp": 5, "room": [5, 11], "breath": 5, "flourish": 5, "elbow": 5, "usus": 5, "happiest": 5, "meet": [5, 7, 11, 13], "grab": [5, 15], "impress": [5, 7, 9, 11, 13, 15], "bin": [5, 6, 11], "leftmost": 5, "downsid": 5, "cram": [5, 12, 13], "overwhelm": [5, 11], "relatedli": 5, "120": [5, 10, 15], "clutter": 5, "width": [5, 9], "whisker": 5, "median": [5, 14, 17], "interquartil": 5, "vertic": [5, 9], "squat": 5, "horizont": [5, 9, 15], "distant": 5, "177": 5, "327": [5, 6], "aha": 5, "riddl": [5, 8, 10], "phase": 5, "wast": [5, 9, 12, 17], "chunk": [5, 6, 7, 9], "obnoxi": 5, "star": [5, 11, 15], "player": 5, "underpow": 5, "poorli": [5, 15], "streak": [5, 8], "turf": 5, "annihil": 5, "met": [5, 7, 12, 13, 15], "exclud": [5, 15], "weren": [5, 10, 12, 17], "tip": [5, 10], "disregard": [5, 16], "massacr": 5, "shame": [5, 7, 11], "pertain": [5, 16], "judgment": [5, 15], "aflsmall2": 5, "afl2smal": 5, "4291": 5, "4292": 5, "4293": 5, "4294": 5, "4295": 5, "summar": 5, "stripplot": 5, "jitter": 5, "overlap": [5, 11], "favor": 5, "insur": 5, "violinplot": 5, "densiti": [5, 13, 20], "thin": 5, "kernal": 5, "techin": 5, "underli": [5, 6, 9, 11, 16], "unknow": 5, "glanc": [5, 13], "curvi": 5, "allevi": [5, 10], "mini": 5, "spine": [5, 10, 13], "set_vis": [5, 10, 13, 14], "overlai": [5, 9, 20], "potenti": [5, 9, 12, 15], "obscur": [5, 11], "conceal": 5, "indici": 5, "prepar": [5, 10, 13], "diamond": [5, 12], "outier": 5, "boxprop": 5, "facecolor": 5, "edgecolor": [5, 13], "medianprop": 5, "whiskerprop": 5, "capprop": 5, "correl": [5, 11, 13, 14, 16, 19], "latter": [5, 12, 15], "suspicion": 5, "slope": [5, 15], "faint": 5, "transluc": 5, "df2": [5, 9, 13], "to_fram": 5, "reset_index": [5, 6, 14, 16], "inplac": [5, 14], "barplot": [5, 9], "illeg": 5, "rotat": 5, "stare": [5, 15], "insist": [5, 8, 17], "makeov": 5, "yum": 5, "brag": 5, "savefig": 5, "tweak": [5, 7, 10], "bbox_inch": 5, "tight": [5, 17], "dark": 5, "png": 5, "enjoi": 5, "waaaai": 5, "craft": 5, "introducton": 5, "configur": 5, "ala": 5, "enemi": 5, "steep": 5, "payoff": [5, 9], "hardest": [5, 10], "edit": [5, 19, 20], "harken": 5, "matlab": 5, "inspir": 5, "launceston": 5, "de": 5, "facto": 5, "demolit": 5, "kardinia": 5, "park": 5, "strung": 5, "lopsid": 5, "modest": [5, 10, 16, 17], "186": 5, "garden": [6, 7, 13], "confin": 6, "philosoph": [6, 8, 19], "laid": [6, 17], "tractor": 6, "honestli": [6, 9, 12, 13, 15, 17], "realiti": 6, "cetera": 6, "motiv": [6, 8, 10, 11, 12, 13, 15], "essenti": [6, 7, 10, 11, 12, 13, 15, 17, 19], "dump": [6, 7, 14, 16], "scratch": 6, "surfac": [6, 16], "grasp": [6, 7, 9, 14], "lightli": [6, 16], "flick": [6, 14], "nine": 6, "divd": 6, "552": 6, "624": 6, "431": 6, "925": 6, "662": 6, "634": 6, "635": 6, "memori": [6, 10, 13, 15, 17, 19], "aaaand": 6, "python": [6, 7, 11], "score_data": 6, "particp": [6, 14], "my_row": 6, "my_column": 6, "scroll": 6, "endlessli": 6, "tolist": 6, "father": 6, "tv": [6, 9], "night": 6, "transcrib": 6, "dialogu": [6, 8], "speaker": 6, "utter": 6, "saniti": 6, "upsi": 6, "daisi": 6, "tombliboo": 6, "makka": 6, "pakka": 6, "pip": [6, 12, 15], "onk": 6, "ee": 6, "oo": 6, "crosstab": [6, 12, 14, 16, 17], "col_0": 6, "satisfi": [6, 9, 10, 11, 12, 13, 14, 16, 17], "rowtot": 6, "coltot": 6, "tab": 6, "worthwhil": 6, "header": [6, 15], "hoo": 6, "boi": [6, 7, 11, 12, 16], "fascin": 6, "procedur": [6, 9, 10, 11, 14, 15, 16, 17, 19], "div": 6, "smallish": [6, 7, 15], "younger": 6, "proposit": [6, 14], "dinosaur": 6, "midpoint": 6, "endpoint": 6, "trivial": [6, 13, 15], "opinion_strength": 6, "shini": 6, "opinion_direct": 6, "tidi": [6, 12], "discret": [6, 9, 10, 11, 12], "gather": [6, 9], "coars": 6, "grain": 6, "edg": [6, 11], "categoris": 6, "deleg": 6, "667": 6, "942": 6, "boundari": [6, 11], "94": [6, 13, 15, 19], "roughli": [6, 9, 10, 17], "0th": 6, "33rd": 6, "66th": 6, "100th": 6, "qcut": 6, "q": [6, 14, 15, 19], "999": 6, "shrunk": [6, 11], "unequ": [6, 13], "carv": [6, 14], "inher": [6, 17], "drawback": [6, 7, 11, 13, 15], "advis": 6, "777298672345782376823578287355": 6, "7773": 6, "listnam": 6, "step_siz": 6, "trip": 6, "spinach": 6, "fruit": [6, 13], "strawberri": 6, "df_test": 6, "df_control": 6, "df_old": 6, "df_youngish": 6, "old_and_slow": 6, "old_and_slow_control": 6, "df_sort": 6, "df_cake": 6, "cake": [6, 7, 17], "df_cakes_flip": 6, "batch": [6, 8], "sorri": [6, 8, 12, 15, 16], "first_thre": 6, "last_two": 6, "sucker": 6, "df_join": 6, "squish": 6, "stack": [6, 14, 15], "dataram": 6, "accomplish": [6, 7], "concat": [6, 9], "df_concaten": 6, "undertak": 6, "layout": 6, "alcohol": 6, "caffein": 6, "capac": [6, 10, 13, 15], "wmc": 6, "recruit": [6, 14], "inflenc": 6, "drugs1": 6, "melt": 6, "df_long": 6, "id_var": 6, "reaction": 6, "wmc_alcohol": 6, "wmc_caffein": 6, "wmc_no": 6, "rt_alcohol": 6, "rt_caffein": 6, "rt_no": 6, "488": 6, "236": 6, "371": 6, "607": 6, "349": 6, "643": 6, "226": 6, "412": 6, "684": 6, "206": 6, "252": 6, "262": 6, "439": 6, "wide_to_long": 6, "sadli": [6, 12, 13, 15], "bid": 6, "stubnam": 6, "sub": 6, "j": [6, 7, 8, 10, 12, 14, 19], "sep": 6, "suffix": 6, "prefix": 6, "stub": 6, "intak": 6, "alchol": 6, "underscor": [6, 7], "wmc_": 6, "rt_": 6, "prof": 6, "deserv": [6, 15], "idex": 6, "multiindex": 6, "thow": 6, "recip": [6, 7, 17], "disast": 6, "pivot": 6, "swivel": 6, "track": [6, 7, 9, 14, 16], "df_wide": [6, 14], "492": 6, "230": [6, 9], "464": 6, "690": 6, "259": [6, 13], "486": [6, 17], "305": 6, "686": 6, "273": [6, 15], "645": 6, "240": 6, "498": 6, "voil\u00e0": 6, "resembl": [6, 12], "convers": [6, 7, 8, 9, 11], "reassembl": 6, "df_wmc": 6, "col": 6, "df_rt": 6, "df_gender": 6, "chain": 6, "drill": 6, "flatten": [6, 7, 13, 14], "hangman": 6, "curli": [6, 9], "brace": [6, 19], "anova": [6, 13, 15], "regress": [6, 10, 12, 13, 14], "predictor": [6, 13, 14, 15, 16], "rational": [6, 15], "trademark": 6, "patent": 6, "pend": 6, "dream": 7, "vertigo": 7, "william": [7, 11, 13], "gibson": 7, "super": [7, 17], "via": [7, 12, 13, 16], "prompt": [7, 13], "albeit": [7, 12, 14], "beginn": [7, 14], "fool": 7, "chop": 7, "disciplin": [7, 9, 12], "patient": [7, 13], "forth": 7, "workspac": 7, "imag": 7, "conjunct": [7, 14, 16], "reproduc": [7, 10, 14, 16], "suddenli": 7, "comb": 7, "recreat": 7, "hasn": [7, 15, 16], "reus": [7, 14, 15], "adapt": [7, 13, 15, 17, 20], "inevit": [7, 9, 14], "string": [7, 15], "log": [7, 11, 12, 15], "myrawdata": 7, "mydataanalysi": 7, "comment": [7, 13, 14, 19], "benefit": [7, 14], "mynewdatanalaysi": 7, "email": [7, 13], "colleagu": [7, 17], "1986": [7, 10, 19], "puzzl": 8, "bitter": 8, "hill": [8, 10, 19], "arthur": 8, "welleslei": [8, 10], "duke": 8, "wellington": 8, "carriag": 8, "ride": 8, "countrysid": 8, "companion": 8, "croker": [8, 10], "victori": [8, 9], "gambler": 8, "justifi": [8, 10, 11, 12, 17], "gambl": [8, 9], "paid": 8, "reckon": 8, "wcc": 8, "cwc": 8, "wwc": 8, "ccc": 8, "sequenc": [8, 9, 10], "scorecard": 8, "Their": 8, "yyi": 8, "jerk": [8, 10, 13], "dissect": [8, 12], "pitch": 8, "philosophi": [8, 11, 19], "brief": [8, 9, 11, 13, 17], "13th": 8, "justif": [8, 10, 11], "hume": [8, 17], "nelson": 8, "goodman": 8, "divers": 8, "lewi": 8, "carrol": 8, "lunch": [8, 10, 15], "theorem": [8, 12, 13, 15], "escap": [8, 11, 16], "dialog": 8, "implicit": [8, 15], "welles": [8, 10], "revis": [8, 17, 19], "factual": 8, "inconsist": [8, 11, 17], "hallmark": 8, "sherlock": 8, "holm": [8, 15, 19], "inabl": 8, "ultim": [8, 11, 17, 20], "underpin": [8, 9, 11, 14, 16, 17], "bartlebi": 8, "344": 8, "god": [9, 11, 12, 15], "twilight": 9, "lock": 9, "stamp": 9, "herald": 9, "oct": 9, "tough": 9, "premier": 9, "poll": [9, 10], "unpopular": 9, "labor": 9, "administr": 9, "vote": [9, 10, 12], "cent": 9, "unremark": [9, 12], "entail": 9, "nsw": 9, "voter": [9, 10, 12], "alp": 9, "feder": 9, "elect": 9, "elector": 9, "commiss": 9, "610": 9, "795": [9, 13, 19], "609": 9, "98": [9, 10, 15], "4610795": 9, "005": [9, 14, 15, 17], "4610025": 9, "83": [9, 10, 15], "everybodi": 9, "enterpris": 9, "lion": 9, "doctrin": 9, "branch": 9, "coin": [9, 11, 12], "roll": 9, "dice": 9, "card": [9, 11], "shuffl": [9, 12, 16], "deck": [9, 12], "lotteri": 9, "probabilist": [9, 10], "commission": 9, "spous": 9, "rig": [9, 10, 13, 17], "neq": [9, 11, 12, 13, 15, 16], "consensu": 9, "walk": [9, 11, 12], "soccer": 9, "arduino": 9, "arsen": 9, "milan": 9, "ideolog": [9, 11, 17], "subscrib": 9, "talli": 9, "n_h": 9, "number_of_flip": 9, "number_of_head": 9, "00": [7, 9, 12, 15], "69": [9, 12, 13, 19], "53": [9, 11, 13, 14, 15], "dampen": 9, "nutshel": 9, "infin": [9, 10], "rightarrow": [9, 10], "infti": [9, 10], "converg": 9, "patienc": 9, "simul": [9, 10, 12, 15, 17], "drew": [9, 10, 15], "fluke": [9, 13], "frequentist_prob": 9, "def": [7, 9, 10, 15], "coin_flip": 9, "uniform": 9, "arang": [9, 11, 13, 15], "cumsum": 9, "proportion_head": 9, "run1": 9, "run2": 9, "run3": 9, "run4": 9, "frequentist_probability_fig": 9, "unfold": 9, "undesir": [9, 12], "pocket": 9, "land": 9, "wear": 9, "meteorologist": 9, "rain": [9, 17], "novemb": 9, "2048": 9, "forbid": [9, 17], "tomorrow": [9, 11], "subjectivist": 9, "steadili": 9, "traction": 9, "decad": [9, 11], "flavour": 9, "ration": 9, "agent": 9, "formalis": [9, 10, 13, 16], "disadvantag": [9, 10, 11, 15], "alien": 9, "uncomfort": [9, 14], "obei": 9, "pragmatist": 9, "relax": 9, "tower": [9, 11], "20th": [9, 11, 14, 17], "vehement": 9, "oppon": 9, "impenetr": 9, "jungl": 9, "arrest": 9, "1922": [9, 11, 12, 19], "paul": 9, "meehl": [9, 19], "potent": 9, "steril": 9, "intellectu": [9, 12], "rake": 9, "merri": 9, "ravish": 9, "maiden": 9, "viabl": 9, "offspr": 9, "1967": [9, 19], "devoid": 9, "entertain": [9, 13], "territori": 9, "promis": [9, 10, 15, 17], "orthodox": [9, 11], "notwithstand": [9, 17], "andrei": 9, "kolmogorov": [9, 13], "pant": 9, "disturb": 9, "jean": 9, "tracksuit": 9, "sadder": 9, "mister": 9, "grant": [9, 11], "wardrob": 9, "sad": [9, 12], "trite": 9, "grei": 9, "eventnam": 9, "wrap": [9, 12, 13, 15, 17], "cup": [7, 9], "cap": 9, "chi": [9, 11, 13, 14, 17, 19, 20], "skull": 9, "proce": [9, 15], "167": 9, "theta": [9, 11], "sim": [9, 11, 12, 13, 14], "2022036": 9, "binom": [9, 11], "pmf": 9, "pixel": 9, "exp": 9, "exponenti": 9, "k": [9, 11, 12, 13, 14, 15, 19], "20220358121717247": 9, "repeatedli": [9, 17], "n1": [9, 13], "n2": [9, 13, 16], "r1": [9, 16], "r2": [9, 15], "101": [7, 9, 10], "p1": [9, 15, 16], "p2": [9, 15, 16], "df1": 9, "set_xtick": 9, "honour": 9, "gaussian": 9, "quietli": 9, "smooth": [9, 15], "weather": 9, "pleasant": 9, "spring": 9, "varianc": [9, 10, 12, 13, 19], "labelleft": 9, "labeltop": 9, "labelright": 9, "labelbottom": [9, 10, 15], "linestyl": [9, 10, 13, 15], "normals2": 9, "widen": 9, "shrink": 9, "twini": 9, "irrespect": [9, 10], "sdnorm": 9, "sdnorm2": 9, "x_fill1": 9, "001": [9, 11, 12, 13, 14, 15, 16], "x_fill2": 9, "y_fill1": 9, "y_fill2": 9, "fill_between": [9, 12, 13], "alpha": [9, 10, 11, 12, 13, 14, 15, 16], "admittedli": [7, 9, 10, 12, 15], "distort": [9, 10, 15, 16], "portabl": 9, "989422804014327": 9, "thermomet": 9, "dart": 9, "board": 9, "99998": 9, "9998": [9, 15], "liar": 9, "numref": 9, "heavier": [9, 13], "tdist": 9, "degfre": [9, 13], "chi2": [9, 12, 17], "sane": 9, "fdist": 9, "degfree1": 9, "degfree2": 9, "dist": [9, 13, 14], "37495055": [], "94156658": [], "96302133": [], "20757735": [], "20647971": [], "61603773": [], "49750524": [], "72068372": [], "70983379": [], "20401518": [], "freedom": [9, 10, 11, 12, 13, 14, 15, 17], "exploit": 9, "normal_a": 9, "normal_b": 9, "normal_c": 9, "chi_square_data": 9, "scaled_chi_square_data": 9, "t_3": 9, "normal_d": 9, "chi_square_3": 9, "chisquar": [9, 12], "chi_square_20": 9, "scaled_chi_square_3": 9, "scaled_chi_square_20": 9, "f_3_20": 9, "unsightli": 9, "df_1": 9, "df_2": [9, 14, 15], "versu": [9, 12, 13, 14], "coverag": 9, "exhaust": [9, 10, 15], "bookshelf": 9, "hurt": [9, 10, 15], "skim": [9, 14, 16], "academ": [9, 10, 12, 17, 19], "redescrib": [9, 13], "increasingli": [9, 10, 11], "controversi": 9, "passeng": 9, "injur": 9, "crash": 9, "calculu": 9, "int_a": 9, "dx": [], "larri": 9, "moe": 9, "huei": 9, "dewei": 9, "louie": 9, "boringli": 9, "highlight": [10, 14, 17], "concis": 10, "witter": 10, "prelud": 10, "phone": 10, "finit": [7, 10], "incomplet": 10, "ring": 10, "terrestri": 10, "destin": 10, "wellselei": 10, "subset": [10, 15, 16], "bag": 10, "chip": 10, "shake": 10, "shook": 10, "member": [10, 12, 14, 16], "br": 10, "dismiss": 10, "miracl": 10, "narrowest": 10, "stratifi": 10, "subpopul": 10, "strata": 10, "effici": 10, "schizophrenia": 10, "schizophren": 10, "forgiv": [7, 10], "simplif": [10, 11, 12], "oversampl": 10, "snowbal": 10, "techniqu": [10, 11, 14], "contact": [10, 11], "tran": 10, "intrus": 10, "network": 10, "consent": 10, "relianc": [10, 17], "restrict": [10, 11, 13, 15], "srs1": [], "unproblemat": 10, "mondai": [7, 10, 14], "wealthi": 10, "industrialis": 10, "exclus": [10, 11, 17], "grown": 10, "coffer": 10, "overflow": [10, 12, 15], "gold": 10, "courtesi": 10, "blah": 10, "border": 10, "critiqu": 10, "rehash": 10, "truism": 10, "rambl": 10, "thorni": 10, "tendenc": [10, 12], "rant": 10, "ecologist": 10, "realm": 10, "iq": [10, 15, 16], "operation": [10, 11], "grid": [10, 15], "ax0": [10, 13], "10000": [10, 11], "transax": [10, 15, 16], "fontsiz": 10, "fontweight": 10, "va": 10, "106": 10, "107": [10, 19], "72": [10, 13, 14, 16], "encourag": [10, 13, 20], "poulat": 10, "iq_10": 10, "iq_100": 10, "iq_10000": 10, "104": [7, 10], "43867269618876": [], "06550343462831": [], "102": [7, 10], "68503725167218": [], "973649420035605": [], "91296994766488": [], "215898680015181": [], "jacob": 10, "bernoulli": 10, "founder": [10, 17], "1713": 10, "stigler": [10, 19], "men": 10, "himself": [10, 13], "wander": 10, "passag": [10, 17], "condescend": 10, "rewritten": [12, 14], "proof": [10, 11, 14], "somehow": [10, 11], "maynard": [10, 19], "keyn": [10, 19], "famous": [10, 11], "tempestu": 10, "storm": 10, "ocean": 10, "1923": [10, 19], "abandon": 10, "astyp": 10, "iq_1": 10, "93": [10, 12, 13, 15], "replic": [10, 11], "iq_2": 10, "105": [7, 10, 17], "112": 15, "86": [13, 15], "118": 10, "125": [10, 13, 15, 16], "122": 10, "121": [10, 15], "109": [10, 12], "138": 15, "amass": 10, "iq_samp_dist": 10, "sample_mean": [10, 13], "119": [10, 15], "iq_max": 10, "highest": [10, 17], "140": 10, "sample_max": 10, "inaccur": 10, "recalcul": 10, "clm": 10, "sem": [10, 13], "subax": 10, "plotsampl": 10, "ramp": 10, "beta": [10, 11, 15, 16], "triangular": 10, "50000": 10, "sharex": 10, "devat": 10, "poison": [10, 13], "piri": 10, "south": 10, "industri": 10, "town": 10, "smelter": 10, "whyalla": 10, "steel": 10, "refineri": 10, "local": [10, 15], "gunpoint": 10, "shall": [10, 13, 14, 16, 17], "intut": 10, "cromul": 10, "bare": [10, 11, 13, 14, 15], "sample_sd": 10, "dash": [10, 15, 17], "axvlin": [10, 13], "opt": 12, "miniconda3": 12, "env": 12, "pythonbook3": 12, "lib": 12, "python3": 12, "922": 15, "xbar": [], "920": [], "issubclass": [], "921": [], "_decimal_sqrt_of_frac": [], "mss": [], "denomin": [13, 16], "_float_sqrt_of_frac": [], "374": [], "372": [], "373": [], "sketch": [], "bug": 12, "msg407078": [], "bit_length": [], "_sqrt_bit_width": [], "_integer_sqrt_of_frac_rto": [], "rnorm": 10, "sampdistsd": 10, "estimatorbia": 10, "ns": 10, "averagesamplesd": 10, "averagesamplemean": 10, "sample_mean_1": 10, "samplemean": 10, "samplesd": 10, "dashdot": 10, "ylim": [10, 13], "axhlin": [10, 13, 14, 15], "imprecis": [10, 14], "115": [10, 15, 19], "certainti": [10, 11, 17], "ppf": [10, 11, 12], "5th": [10, 19], "025": [10, 13, 15], "975": [10, 11, 15], "9599639845400545": 10, "959963984540054": 10, "leq": [10, 11], "algebra": [10, 14, 15], "rewrit": [10, 12, 16, 17], "pm": 10, "15th": 10, "85th": 10, "0364333894937898": 10, "960201263621358": 10, "9602012636213575": 10, "262157162740992": 10, "2621571627409915": [], "uncertain": 10, "probabail": 10, "bayesian": [10, 13, 14, 15], "frequentist": [10, 17], "cirep": 10, "rng": 10, "default_rng": 10, "n_experi": 10, "increment": 10, "simdata": 10, "too_high": 10, "too_low": 10, "no_mean": 10, "pointplot": [10, 13, 14, 16], "130": 10, "vline": 10, "ymin": 10, "ymax": 10, "pedant": [10, 12], "credibl": 10, "drastic": 10, "tconfint_mean": 10, "ci_1": 10, "api": [10, 14, 15, 16], "sm": [10, 14, 15, 16], "ci_2": 10, "descrstatsw": 10, "514149929408497": 10, "485850070591503": 10, "shelf": 10, "load_dataset": 10, "total_bil": 10, "sex": [10, 19], "sun": [10, 11], "dinner": 10, "datapoint": 10, "x_estim": 10, "extraordinarili": 10, "sloppi": 10, "pollut": 10, "deficit": 10, "illusori": [10, 13], "implaus": [10, 11, 16], "resent": 10, "weaker": [10, 11], "ore": 10, "unbiased": 10, "shirt": 10, "amstat": 10, "jse": 10, "v10n3": 10, "friedman": 10, "harmon": 11, "ludwig": 11, "wittgenstein": 11, "dogmat": 11, "dogma": [11, 17], "heresi": 11, "surround": [7, 11], "succumb": 11, "promot": 11, "professor": 11, "ensconc": 11, "ivori": 11, "happili": [11, 15], "protect": [11, 17], "tenur": 11, "indulg": 11, "thoroughli": 11, "unproduct": 11, "extrasensori": 11, "percept": 11, "esp": 11, "gloriou": 11, "clairvoy": 11, "adjac": 11, "upward": [11, 13], "portrai": 11, "substant": [11, 15], "testabl": 11, "music": [11, 13], "speed": [7, 11], "ontolog": 11, "battlefield": 11, "tautolog": 11, "club": [11, 12], "unfalsifi": 11, "domain": [11, 13], "wall": [11, 16], "hypothei": 11, "wacki": 11, "badli": [11, 15], "h_0": [11, 12, 13, 14, 15, 16, 17], "neglect": 11, "h_1": [11, 12, 13, 14, 15, 16, 17], "defend": [11, 17], "prosecutor": 11, "presumpt": 11, "innoc": 11, "maximis": 11, "yield": 11, "convict": [11, 15], "lawyer": 11, "unlucki": 11, "1024": [11, 14], "retain": [11, 12, 13, 15, 17], "h0": 11, "ii": [11, 13, 14, 15], "wrongfulli": 11, "jurist": 11, "blackston": 11, "guilti": 11, "punish": 11, "central": [11, 12, 13, 14, 15], "retent": 11, "secondari": 11, "conced": 11, "binomi": [11, 12], "xlim": 11, "evas": 11, "annot": [11, 12, 14], "xytext": [11, 12, 14], "arrowprop": [11, 12, 14], "dict": [11, 12, 14, 15], "arrowstyl": [11, 12, 14], "600": 11, "580": [11, 15], "patch": 11, "get_x": 11, "set_color": 11, "lightgrei": 11, "geq": 11, "occult": 11, "divin": 11, "privat": 11, "jargon": [11, 13, 17], "contriv": 11, "practition": [11, 17], "ashlei": 11, "cc": [11, 20], "onesid": 11, "jerzi": 11, "cleaner": 11, "021": 11, "intoler": 11, "soften": 11, "trillion": 11, "mistaken": 11, "bluntli": 11, "chisqreport": 11, "unsurpris": [11, 15, 16], "framework": [11, 15, 16, 17], "tension": 11, "062": 11, "patholog": [11, 13], "051": [11, 13], "049": [11, 13, 15], "reput": 11, "amazingli": 11, "attest": 11, "sig": 11, "06": [11, 13], "spss": 11, "0000000001": 11, "suppress": 11, "tier": 11, "whichev": [7, 11, 14, 15], "implement": [11, 12, 14, 15], "binom_test": 11, "6m": [10, 11], "mwt0c30539b1zrk5vf14dpr44pd98r": [10, 11], "ipykernel_11158": [], "1922679674": 11, "deprecationwarn": [10, 11], "deprec": [10, 11], "binomtest": 11, "02097873567785172": 11, "ters": 11, "emphasis": [11, 13], "unabl": [11, 17], "alternative2": 11, "entireti": 11, "powerfunct": 11, "sharpli": [11, 13], "prob": [11, 15], "cdf": [11, 13, 14], "prob_low": 11, "probablil": 11, "alert": [11, 15], "inappropri": 11, "mice": 11, "tiger": 11, "abroad": 11, "georg": 11, "1976": 11, "cohen": [11, 14, 19], "1988": [11, 13, 19], "elli": [11, 19], "theta_0": 11, "successfulli": 11, "psychic": 11, "proclaim": 11, "crisi": 11, "magnifi": 11, "quiet": 11, "darken": 11, "distract": 11, "strengthen": [11, 17], "boost": [11, 15], "powerfunctionsampl": 11, "qbinom": 11, "critlo": 11, "crithi": 11, "figwidth": 11, "600px": 11, "zig": 11, "zag": 11, "contempl": 11, "feasibl": 11, "partli": [11, 12, 17], "wife": 11, "bureaucrat": 11, "nhst": 11, "necess": [11, 15], "promin": 11, "hate": [11, 12, 14, 17], "histor": 11, "disput": 11, "mash": 11, "lehmann": [11, 19], "mishmash": 11, "exrem": 11, "emphat": 11, "unrepent": 11, "thoughtless": [11, 15], "rush": [11, 14], "gelman": [11, 19], "stern": [11, 19], "2006": [11, 13, 19], "significantli": [11, 13, 14, 15], "54": [7, 11, 13, 19], "borderlin": [11, 17], "wari": 11, "ubiquit": [11, 17], "cursori": 11, "recap": 11, "soft": 11, "fond": 11, "tractatu": 11, "logico": 11, "philosphicu": 11, "emerg": [11, 12], "hybrid": 11, "apolog": 11, "rigor": 11, "intellect": 11, "adversari": 11, "uk": [11, 19], "french": 11, "inquisitori": 11, "conflat": [11, 12, 13], "karl": [11, 12], "popper": 11, "falsificationist": 11, "falsification": 11, "fine": [11, 12, 14, 15], "proviso": 11, "caught": 11, "057": [11, 14], "000000000000000000000000136": 11, "1900": [12, 19], "difficulti": [12, 14, 17], "imaginari": 12, "spade": 12, "choice_1": 12, "choice_2": 12, "subj1": 12, "subj2": 12, "subj3": 12, "subj4": 12, "subj5": 12, "195": 12, "subj196": 12, "196": 12, "subj197": 12, "197": 12, "subj198": 12, "198": 12, "subj199": 12, "199": 12, "subj200": 12, "o_2": 12, "heartsuit": 12, "o_1": 12, "diamondsuit": 12, "spadesuit": 12, "o_3": 12, "clubsuit": 12, "o_4": 12, "o_i": 12, "p_j": [12, 14], "p_1": 12, "p_2": 12, "p_3": 12, "p_4": 12, "panad": 12, "float64": 12, "e_i": [12, 15], "p_i": 12, "225": 12, "convention": [12, 13], "chase": [12, 14, 15], "manychi": 12, "y5": 12, "region": [12, 13, 14], "95th": 12, "goftest": 12, "critical_valu": 12, "hmm": 12, "f_ob": 12, "f_exp": 12, "power_divergenceresult": 12, "pvalu": [12, 13, 14], "0377418520240214": 12, "gosh": 12, "darn": 12, "readi": [12, 15], "x2": [12, 13, 14], "038": 12, "nullprob": 12, "741666666666667": 12, "192": 12, "preced": 12, "cry": 12, "writer": 12, "intim": 12, "polit": [12, 13, 17], "intro": [12, 13, 15, 20], "dens": 12, "overrid": 12, "thesi": 12, "satan": 12, "delight": 12, "scriptur": 12, "rohlf": [12, 19], "1994": [12, 14, 19], "034": 12, "unclear": 12, "collabor": 12, "modifi": [7, 12, 14, 15, 16], "guardbot1": 12, "halt": 12, "guardbot2": 12, "leela": 12, "fry": 12, "uh": [12, 15], "eh": 12, "puppi": [12, 17], "flower": [7, 12, 17], "sweeti": 12, "futurama": 12, "bot": 12, "documentari": 12, "quaint": 12, "nativ": [12, 13], "chapek": 12, "visitor": 12, "civil": 12, "chapek9": [12, 17], "180": [12, 17], "overwhelmingli": 12, "tabul": [12, 13, 16, 17], "freqtabl": 12, "teeni": 12, "o_": 12, "c_": 12, "ij": 12, "r_i": 12, "r_1": 12, "c_j": 12, "c_1": 12, "p_": 12, "e_": 12, "_i": [12, 15], "conting": [12, 19], "rcl": [12, 13, 14, 15], "rc": [12, 16], "bundl": 12, "frill": 12, "chi2_conting": [12, 17], "crunch": 12, "dof": [12, 13, 14, 17], "ex": [12, 17], "721571792595633": 12, "004697213134214071": 12, "31666667": 12, "68333333": 12, "21666667": 12, "78333333": 12, "46666667": 12, "53333333": 12, "chooser": 12, "easis": 12, "wherev": 12, "instal": 12, "conda": 12, "webpag": 12, "plug": [12, 14, 15], "pg": [12, 14, 15, 16], "chi2_independ": 12, "_lib": 12, "_util": 12, "runtimewarn": 12, "_ncx2_sf": 12, "cond": [12, 15], "temp": 12, "316667": 12, "216667": 12, "466667": 12, "683333": 12, "783333": 12, "533333": [12, 13], "observed_manu": 12, "observed_pingouin": 12, "lambda": [12, 15], "pval": [12, 14, 15, 16], "cramer": 12, "721572": 12, "004697": 12, "244058": 12, "842961": 12, "cressi": 12, "666667": 12, "757745": 12, "004613": 12, "244469": 12, "844244": 12, "likelihood": [12, 15], "922195": 12, "004249": 12, "246331": 12, "849966": 12, "freeman": [12, 19], "tukei": [12, 15], "131562": 12, "003827": 12, "248681": 12, "856988": 12, "mod": [12, 15], "421716": 12, "003310": 12, "251901": 12, "866249": 12, "neyman": 12, "280435": 12, "002154": 12, "261198": 12, "890668": 12, "wow": 12, "pinguoin": [12, 13, 15], "dirti": [12, 15], "bow": 12, "classifi": [12, 14, 16], "reactiv": 12, "worthless": 12, "cartoon": 12, "yate": [12, 19], "1934": [12, 19], "redefin": [12, 13], "hack": 12, "commonplac": [12, 13, 16], "phi": 12, "unsatisfactori": 12, "propos": [12, 15], "cram\u00e9r": [12, 19], "cochran": [12, 19], "1954": [12, 19], "larntz": [12, 19], "1978": [12, 19], "hospit": 12, "matern": 12, "ward": 12, "girl": [12, 16], "infeas": 12, "emot": 12, "statu": 12, "witchcraft": [12, 13], "whom": 12, "stake": 12, "fire": 12, "awfulli": [12, 16], "salem": 12, "userwarn": 12, "309402": 12, "068885": 12, "454794": 12, "444097": 12, "265804": 12, "070738": 12, "451788": 12, "439356": 12, "321858": 12, "068365": 12, "455649": 12, "445448": 12, "507069": 12, "061107": 12, "468179": 12, "465301": 12, "850051": 12, "049744": 12, "490539": 12, "500918": 12, "276692": 12, "021613": 12, "574276": 12, "632005": 12, "r_2": 12, "c_2": 12, "hypergeometr": 12, "daunt": 12, "fisher_exact": 12, "freq_tabl": 12, "oddsratio": 12, "03571428571428571": 12, "036": 12, "hire": 12, "parti": [12, 14], "agpp": 12, "advertis": 12, "160": 12, "lend": 12, "eek": 12, "1947": [12, 13, 19], "nonstandard": 12, "p_a": 12, "p_b": 12, "p_c": 12, "p_d": 12, "diagon": [12, 13, 15], "revert": 12, "response_befor": 12, "response_aft": 12, "subj": 12, "chi2_mcnemar": 12, "approx": 12, "033333": 12, "000523": 12, "000325": 12, "agresti": [12, 19], "1996": [12, 14, 19], "misunderstood": 12, "conflict": [12, 19], "garbag": 12, "lrt": 12, "hogg": [12, 19], "mckean": [12, 19], "reserv": 12, "draft": 12, "collaps": 12, "irreproduc": 12, "medic": 13, "blood": 13, "agricultur": 13, "phosphoru": 13, "plant": 13, "Its": 13, "stone": 13, "zeppo": 13, "curios": 13, "devis": 13, "set_frame_on": [13, 14], "get_yaxi": [13, 14], "get_xaxi": [13, 14], "hline": 13, "xmin": 13, "xmax": 13, "mu_0": 13, "sigma_0": 13, "ztesthyp": 13, "addition": [7, 13], "diagnost": [13, 15], "z_": [13, 14], "iteself": 13, "ztest1": 13, "ztest2": 13, "crit": 13, "p_lower": 13, "p_upper": 13, "hatch": 13, "ztest": 13, "644854": 13, "281552": 13, "959964": 13, "575829": 13, "326348": 13, "290527": 13, "090232": 13, "unnecessari": [13, 15], "sd_true": 13, "mu_nul": 13, "sem_tru": 13, "1242645786248002": 13, "z_score": 13, "259605535157681": 13, "normaldist": 13, "lower_area": 13, "011922871882469877": 13, "cumul": 13, "opaqu": 13, "becauw": 13, "upper_area": 13, "p_valu": 13, "023845743764939753": 13, "experimet": 13, "dreari": 13, "kingdom": 13, "unicorn": 13, "fairi": 13, "leprechaun": 13, "bereft": 13, "520614752375915": [], "ttesthyp_onesampl": 13, "axessubplot": [], "1908": [13, 19], "seali": 13, "gosset": 13, "student1908": [], "chemist": 13, "guin": 13, "breweri": 13, "box1987": [], "dim": 13, "employe": 13, "secret": 13, "pseudonym": 13, "accommod": [13, 17], "ttestdist": 13, "y_norm": 13, "y_t": 13, "se_est": 13, "flavor": [13, 20], "ttest_1samp": 13, "popmean": 13, "25471286700693": 13, "03614521878144544": 13, "overjoi": 13, "shorthand": [13, 16], "kinder": [13, 14], "confidence_level": 13, "degrees_freedom": 13, "sample_standard_error": 13, "confidence_interv": 13, "84421513791415": 13, "75578486208585": 13, "whew": 13, "compress": [13, 15], "ttest": [13, 14], "ci95": [13, 14, 15], "bf10": [13, 14, 15], "254713": 13, "036145": 13, "504169": 13, "571446": 13, "bay": [13, 14, 19], "harpo": 13, "tutor": 13, "anastasia": 13, "bernadett": 13, "n_1": [13, 14], "n_2": [13, 14], "harpo_summari": 13, "998942": 13, "055556": 13, "774918": 13, "harpohist": [], "ttestci": 13, "alloc": 13, "mu_1": 13, "mu_2": 13, "_1": [13, 14, 15], "_2": [13, 14, 15], "mu1": [13, 14], "sigma1": 13, "mu2": [13, 14], "x1": [13, 14], "line2d": [], "0x16225f820": [], "sigma_1": 13, "sigma_2": 13, "weigh": [13, 15], "w_1": 13, "w_2": 13, "2_p": [13, 16], "sigma_p": 13, "ugli": [13, 15, 16], "ik": [13, 14, 15], "_k": [13, 14, 15], "_p": [13, 16], "ttest_ind": 13, "unifi": 13, "sent": 13, "harpo_wid": 13, "duck": 13, "115432": 13, "042529": 13, "739561": 13, "755": 13, "53577": 13, "foolish": 13, "cleanli": 13, "testsm": 13, "overgeneralis": 13, "ttestoneassumpt": 13, "wilcox": 13, "homoscedast": [13, 14, 16], "leven": [13, 19], "crop": 13, "ttesthyp2": [], "ttesthyp": [], "diagnosi": [13, 19], "sigma2": 13, "0x162389810": [], "anasatasia": 13, "034187": 13, "024806": 13, "05361": 13, "556": 13, "054": [13, 16], "panic": 13, "sky": 13, "chico": 13, "challeng": [13, 14], "grade_test1": 13, "grade_test2": 13, "student1": 13, "student2": 13, "student3": 13, "student4": 13, "student5": 13, "980000": 13, "385000": 13, "616137": 13, "405612": 13, "900000": 13, "600000": 13, "700000": 13, "050000": 13, "pairedta": 13, "get_xlim": 13, "get_ylim": 13, "ls": 13, "set_text": 13, "9508686092602991": 13, "8591313907397005": 13, "i1": [13, 15], "i2": [13, 15], "d_": 13, "mu_d": 13, "sigma_d": 13, "475436": 13, "447952": 13, "5991": 13, "577": 13, "999984": 13, "215765": 13, "150446": 13, "0000032": 13, "018073": 13, "inf": 13, "701407": 13, "interestd": 13, "equal_var": [13, 14, 16], "ttest_indresult": 13, "11543239": 13, "04252949": 13, "02126474": 13, "97873526": 13, "substract": [13, 14], "subract": 13, "ttest_rel": 13, "ttest_relresult": [], "475436088339379": 13, "660335028063474e": 13, "9999983396649719": 13, "cohen1988": [], "wrinkl": 13, "defenc": 13, "nitpick": 13, "mcgrath2006": [], "accuraci": [13, 14], "delta": [13, 15, 16], "blindli": 13, "mu_o": 13, "5041691240370938": [], "hedg": [13, 14, 19], "hedges1981": [], "glass": [13, 19], "purer": 13, "hedges1985": [], "tutor1": 13, "tutor2": 13, "u1": 13, "u2": 13, "s1": [], "s2": [], "7395614040382655": [], "prime": [13, 14, 15, 17], "displaystyl": [13, 14, 15, 17], "7486295728919304": [], "_d": 13, "mean_diff": 13, "sd_diff": 13, "4855669223382983": [], "2213698410715347": [], "clt": [], "skew": [13, 15], "trigger": [13, 17], "probplot": 13, "seed": 13, "normal_data": 13, "hist": [13, 15], "qq_fig": 13, "departur": [13, 15], "qqskew": [], "qqheavi": [], "kurtosi": [13, 15], "skewed_data": 13, "qqskew_fig": 13, "heavy_tailed_data": 13, "qqheavy_fig": 13, "shapiro1965": [], "a_i": 13, "mumbl": [13, 15], "ars": 13, "swdist": [], "clump": 13, "shapiroresult": [13, 14], "9898834228515625": [], "6551706790924072": [], "nonparametr": [13, 14], "mann": 13, "whitnei": 13, "rdata": 13, "awesome2": 13, "score_a": 13, "score_b": 13, "datum": 13, "037109375": 13, "studentttest": [], "earth": 13, "bought": 13, "exot": 13, "nutrient": 13, "european": 13, "sheer": 13, "arrog": 13, "weaken": [13, 17], "nastier": 13, "delici": 13, "smoothi": 13, "mcnemar": [13, 19], "groucho": 13, "smirnov": 13, "kolomogorov": 13, "ow": 14, "tenuou": 14, "remaind": [7, 14], "antidepress": 14, "joyzepam": [14, 16], "undergo": 14, "cbt": [14, 16], "doubli": 14, "clintrial": [14, 16], "clin": 14, "groupbi": [14, 16], "agg": 14, "716667": 14, "483333": 14, "450000": 14, "moodgain": [], "mu_p": [14, 16], "induc": [14, 16], "mu_a": [14, 16], "mu_j": [14, 16], "pessimist": [14, 15], "n_k": 14, "fake": 14, "y_": [14, 16], "cosmet": 14, "y_p": [14, 16], "arbitrarili": [14, 17], "uncool": 14, "num": [7, 14], "ann": 14, "egg": [7, 14], "whoever": 14, "ss": [14, 15, 16], "tot": [14, 15], "_w": 14, "grand": [14, 16], "_b": [14, 16], "yai": 14, "mu3": 14, "x3": 14, "anovavar_fig": 14, "arrow": 14, "workabl": 14, "fiddl": 14, "lcl": 14, "ms": [14, 15, 16], "epsilon_": [14, 15, 16], "residu": 14, "leftov": [14, 16], "mu_k": 14, "epsilon": [14, 15], "ch": [], "hai": [14, 19], "1899": 14, "0025": 14, "0225": 14, "1225": 14, "0136": 14, "1003": 14, "2614": 14, "gp_mean": 14, "grouped_mean": 14, "group_mean": 14, "dev_from_group_mean": 14, "squared_dev": 14, "ipykernel_11188": [], "145942847": [], "futurewarn": 10, "numeric_onli": 14, "dataframegroupbi": [], "shut": 14, "sight": 14, "beer": 14, "fridg": 14, "telli": 14, "nest": [14, 15], "0144": 14, "2704": 14, "0064": 14, "0484": 14, "0324": 14, "2025": 14, "1444": 14, "2304": 14, "miniscul": 14, "ssw": 14, "3918000000000001": 14, "grand_mean": [14, 16], "dev_from_grandmean": 14, "xtab": 14, "group_siz": 14, "weighted_squared_dev": 14, "3421671601": [], "163333": 14, "026678": 14, "160067": 14, "603333": 14, "364011": 14, "184067": 14, "430000": 14, "184900": 14, "109400": 14, "ssb": 14, "453533333333334": 14, "slight": [14, 15], "painless": 14, "lclcl": 14, "lclclcl": 14, "woohooo": 14, "lookup": 14, "672726890401883e": 14, "0000867": 14, "f_onewai": 14, "lacon": 14, "anth": 14, "instantli": 14, "undersand": 14, "unsurprisingli": 14, "ol": [14, 15, 16], "aov_tabl": 14, "anova_lm": [14, 15, 16], "typ": 14, "sum_sq": 14, "pr": [14, 15, 16], "gt": [14, 15, 16], "453333": 14, "610778": 14, "000086": 14, "391667": [14, 16], "celebr": 14, "lm": 14, "implic": [14, 15], "bask": 14, "glori": 14, "unc": [14, 16], "np2": [14, 16], "726667": 14, "712762": 14, "092778": 14, "eta": [14, 16], "sstot": 14, "eta_squar": 14, "7127545404512933": 14, "competitor": 14, "fish": [14, 15], "expedit": [14, 15], "guidanc": 14, "latin": 14, "shaffer": [14, 19], "1995": [14, 17, 19], "simultan": 14, "hsu": [14, 19], "dunn": [14, 19], "1961": [14, 17, 19], "note7": [], "prime_j": 14, "pp": 14, "1979": [14, 15, 19], "sequenti": [14, 17, 19], "unchang": [14, 15, 16], "tripl": [14, 16], "prime_": 14, "020": [14, 15], "019": [14, 16], "022": 14, "044": 14, "outperform": [14, 15], "elabor": [14, 17], "padjust": [14, 15], "pairwise_ttest": [], "pairwise_test": 14, "_continuous_distn": [], "6832": [], "_nct_sf": [], "clip": [], "_boost": [], "nc": [], "6826": [], "_nct_cdf": [], "parametr": 14, "206222": 14, "001811": 14, "003621": 14, "947": 14, "241659": 14, "354183": 14, "205486": 14, "814": 14, "721696": 14, "168708": 14, "000030": 14, "000091": 14, "475": 14, "231": 14, "820482": 14, "unalt": 14, "lrcl": 14, "qq": [14, 15, 16], "shapiro": [14, 15, 16, 19], "wilk": [14, 15, 16, 19], "sigma_k": 14, "deadlin": 14, "skin": 14, "1960": [14, 19], "forsyth": [14, 19], "1974": [14, 15, 19], "nope": [14, 17], "drink": 14, "f_": [14, 16], "welch": [14, 19], "1951": [14, 19], "welch_anova": 14, "ddof1": 14, "ddof2": 14, "11th": 14, "april": 14, "2022": [14, 15], "resid": [14, 15, 16], "edifi": 14, "verg": 14, "qqplot": [14, 15, 16], "96019": 14, "605309": 14, "9601902365684509": 14, "6053088307380676": 14, "particuar": 14, "squint": [14, 15], "distringut": 14, "wilcoxon": 14, "1952": [14, 19], "rss": [14, 16], "sum_k": 14, "sum_i": [14, 15], "needlessli": 14, "jiggeri": 14, "pokeri": 14, "lord": 14, "dilig": [14, 17], "f_j": 14, "rename_axi": 14, "unique_valu": 14, "f_3": 14, "tcf": 14, "sum_j": 14, "reliev": 14, "existenti": 14, "horror": 14, "076": [14, 15], "002": 14, "708": 14, "096": [14, 16], "clinical_wid": [], "no_therapi": 14, "307": 14, "616": 14, "732": 14, "curious": 14, "3068": 14, "sahai": [14, 19], "ageel": [14, 19], "2000": [14, 19], "anova2": [], "alpha_k": 14, "stickler": 14, "discoveri": 14, "bonferrroni": 14, "bonf": [14, 15], "fancier": 15, "sleepycorrelation_fig": [], "sleepycorrel": 15, "secretli": 15, "sleep_regressions_1": 15, "smf": 15, "intercept": 15, "param": 15, "mx": 15, "decai": 15, "b_1": [15, 16], "b_0": [15, 16], "frilli": 15, "epsilon_i": 15, "sleep_regressions_2": 15, "_0": 15, "optim": 15, "hook": 15, "shortcut": 15, "lift": 15, "curve_fit": 15, "xdata": 15, "ydata": 15, "stolen": 15, "shamelessli": [15, 17], "phillip": 15, "53779773": 15, "func": 15, "initialparamet": 15, "fittedparamet": 15, "pcov": 15, "modelpredict": 15, "xmodel": 15, "ymodel": 15, "linexdata": 15, "lineydata": 15, "badparamet": 15, "badpredict": 15, "bad_xmodel": 15, "bad_ymodel": 15, "linear_regress": [15, 16], "mod1": 15, "coef": 15, "adj_r2": 15, "131": 15, "caclul": 15, "modx": 15, "78": 15, "scifi": 15, "b_2": [15, 16], "mulitipl": 15, "mod2": 15, "sleep_regressions_3d": 15, "3d": 15, "mpl_toolkit": 15, "mplot3d": 15, "axes3d": 15, "set_styl": 15, "whitegrid": 15, "add_subplot": 15, "111": [10, 15], "set_zlabel": 15, "lmm": 15, "plane": 15, "xs": 15, "tile": 15, "ys": 15, "zs": 15, "plot_surfac": 15, "scatter": 15, "angl": 15, "view_init": 15, "b_": 15, "y_pred": 15, "ss_resid": 15, "1838": 15, "7224883200004": 15, "forg": 15, "boldli": 15, "onward": 15, "ss_tot": [15, 16], "590000000002": 15, "hair": 15, "816101821524835": 15, "8161027191478786": 15, "yep": 15, "adj": 15, "incident": 15, "groan": 15, "sick": 15, "wholesal": 15, "df_": [15, 16], "tuesdai": [7, 15], "17th": 15, "omiss": 15, "worm": 15, "generaliz": 15, "residuals_": 15, "ss_re": [15, 16], "ss_mod": 15, "df_mod": 15, "df_model_": 15, "df_re": 15, "df_resid_": 15, "calucul": 15, "ms_mod": 15, "ms_re": [15, 16], "sf": 15, "215": 15, "2382865368443": 15, "1457300163209325e": 15, "regression_f": 15, "rl": 15, "sigma_b": 15, "812": 15, "revist": 15, "176426e": 15, "591e": 15, "85439996017091": 15, "hunt": 15, "parwis": 15, "hardlin": 15, "bonferroni": 15, "inflat": 15, "rcorr": 15, "628": 15, "903": 15, "566": 15, "098": 15, "panick": 15, "attain": 15, "strongest": 15, "cautiou": 15, "dan_sleep_standard": 15, "baby_sleep_standard": 15, "mod3": 15, "146": [], "relatiship": 15, "uncorrel": 15, "collinear": [], "screw": [15, 17], "adequaci": 15, "diagnos": 15, "ail": 15, "dispos": [7, 15], "revolv": 15, "studentis": 15, "gum": 15, "normalis": 15, "h_i": 15, "add_const": 15, "est": 15, "get_influ": 15, "res_standard": 15, "resid_studentized_intern": 15, "jackknif": 15, "nightmar": 15, "grumbl": 15, "sigma_": 15, "stud_r": 15, "outlier_test": 15, "student_resid": 15, "unadj_p": 15, "494821": 15, "621857": 15, "105570": 15, "271676": 15, "461729": 15, "645321": 15, "475346": 15, "635620": 15, "166721": 15, "867940": 15, "disproportion": 15, "junk": 15, "defect": 15, "ro": 15, "leverag": 15, "ascii_uppercas": 15, "constrain": [15, 16], "cook": 15, "d_i": 15, "ness": 15, "cooks_dist": 15, "df_cook": 15, "grai": 15, "prettifi": 15, "noterobust": [], "sw": 15, "veer": 15, "invok": 15, "standardized_residu": 15, "as_datafram": 15, "df_res_pr": 15, "pred": 15, "kung": 15, "fu": 15, "master": [7, 15], "tx": [15, 19], "regressor": 15, "downright": 15, "scari": 15, "footnot": 15, "christoph": 15, "nolan": 15, "vice": 15, "versa": 15, "fanat": 15, "h_": 15, "notabl": 16, "unbalanc": [], "mu_": 16, "marginalis": 16, "formul": 16, "presenc": 16, "model1": 16, "aov": [], "model2": 16, "4533": 16, "7267": 16, "7143": 16, "0000": [15, 16], "8409": 16, "4672": 16, "5816": 16, "0126": 16, "4170": 16, "2711": [15, 16], "1356": 16, "4898": 16, "1246": 16, "2933": 16, "6533": 16, "0544": 16, "uncorrect": [14, 16], "spoiler": 16, "f_a": 16, "_r": 16, "outset": 16, "evapor": 16, "sensat": 16, "urg": [16, 17], "rci": 16, "runn": 16, "ada84": 19, "reconsider": 19, "artifact": 19, "334": 19, "agr96": 19, "wilei": 19, "hoboken": 19, "nj": 19, "agr02": 19, "ans73": 19, "american": 19, "bhoconnell75": 19, "hammel": 19, "connel": 19, "graduat": 19, "erkelei": 19, "187": 19, "398": 19, "404": 19, "bf74": 19, "364": 19, "367": 19, "cs63": 19, "houghton": 19, "mifflin": 19, "boston": 19, "ma": 19, "csg63": 19, "donald": 19, "thoma": 19, "julian": 19, "nathaniel": 19, "lee": 19, "gage": 19, "coc54": 19, "annal": 19, "315": 19, "coh88": 19, "lawrenc": 19, "erlbaum": 19, "cramer46": 19, "princeton": 19, "dun61": 19, "ell10": 19, "meta": 19, "cambridg": 19, "ell02": 19, "michael": 19, "asia": 19, "1151": 19, "1172": 19, "ebp83": 19, "barston": 19, "pollard": 19, "syllogist": 19, "295": 19, "306": 19, "ehp11": 19, "hast": 19, "peacock": 19, "ed": 19, "fis22a": 19, "royal": 19, "societi": 19, "fis22b": 19, "transact": 19, "222": 19, "368": 19, "gs06": 19, "328": 19, "331": 19, "hay94": 19, "harcourt": 19, "fort": 19, "hmc05": 19, "saddl": 19, "river": 19, "6th": 19, "hol79": 19, "scandinavian": 19, "hot04": 19, "mcgraw": 19, "hsu96": 19, "chapman": 19, "hall": 19, "london": 19, "ioa05": 19, "plo": 19, "med": 19, "697": 19, "701": 19, "kuhbergerfs14": 19, "fritz": 19, "scherndl": 19, "kt73": 19, "review": [17, 19], "237": 19, "251": 19, "key23": 19, "monetari": 19, "reform": 19, "macmillan": 19, "kw52": 19, "kruskal": 19, "walli": 19, "criterion": [15, 17, 19], "583": 19, "621": 19, "lar78": 19, "253": 19, "263": 19, "leh11": 19, "erich": 19, "eyman": 19, "creation": 19, "springer": 19, "lev60": 19, "olkin": [13, 19], "editor": [17, 19], "honor": 19, "harold": 19, "hotel": 19, "278": 19, "292": 19, "stanford": 19, "palo": 19, "alto": 19, "ca": [15, 19], "mcn47": 19, "psychometrika": 19, "153": 19, "157": 19, "mee67": 19, "pea00": 19, "magazin": 19, "pfu11": 19, "mr": 19, "von": 19, "osten": 19, "henri": 19, "holt": 19, "sa00": 19, "birkhaus": 19, "sha95": 19, "annual": 19, "561": 19, "584": 19, "sr94": 19, "biometri": 19, "ste46": 19, "677": 19, "680": 19, "sti86": 19, "wel47": 19, "tudent": 19, "biometrika": 19, "wel51": 19, "330": 19, "336": [16, 19], "yat34": 19, "supplement": 19, "217": 19, "235": 19, "weed": 20, "fan": 20, "navarro": 20, "jasp": 20, "jamovi": 20, "concentr": 20, "textual": 20, "forego": 20, "emili": 20, "koth": 20, "bookdown": 20, "lsr": 20, "BY": 20, "sa": 20, "520614752375916": 13, "35771062": [], "58285649": [], "18124928": [], "87165345": [], "35333772": [], "10911366": [], "74155069": [], "42264458": [], "23268415": [], "35225702": [], "52313138690589": [], "853899344758702": [], "20058272908474": [], "413614195429187": [], "097231846958": [], "031852221261412": [], "127": 10, "114": 10, "ipykernel_34445": 11, "ipykernel_34478": [], "stu08": 19, "harpohist_fig": 13, "keyerror": [], "3802": [], "get_loc": [], "3801": [], "_engin": [], "casted_kei": [], "3803": [], "err": 15, "pyx": [], "indexengin": [], "hashtable_class_help": [], "pxi": [], "5745": [], "hashtabl": [], "pyobjecthasht": [], "get_item": [], "5753": [], "3807": [], "3805": [], "nlevel": [], "3806": [], "_getitem_multilevel": [], "3808": [], "is_integ": [], "3809": [], "3804": [], "listlik": [], "_check_indexing_error": [], "invalidindexerror": [], "0x156c18e50": [], "0x156cb7810": [], "ipykernel_84993": [], "4098096105": [], "keyword": [7, 10], "wil": 10, "ttestresult": 13, "temporari": [], "silenc": [], "seterr": [], "0x17d0090d0": [], "0x17d172ed0": [], "ipykernel_85531": [], "0x16c414290": [], "0x16c45f190": [], "ipykernel_85703": [], "0x284edb310": [], "0x284e5e3d0": [], "ipykernel_89710": [], "0x14ebfded0": [], "0x14ed64490": [], "ipykernel_89872": [], "0x13dd593d0": [], "0x13ee113d0": [], "ipykernel_90047": [], "ttesthyp_fig": 13, "0x14f64d6d0": [], "ipykernel_90237": [], "ttesthyp2_fig": 13, "ipykernel_90482": [], "pairedta_fig": 13, "scat": 13, "terplot": 13, "ipykernel_90589": [], "mcgrath": [13, 19], "meyer": [13, 19], "5041691240370937": 13, "1985": [13, 19], "1981": [13, 19], "sp": 13, "v1": 13, "v2": 13, "cohensd": 13, "9898831844329834": 13, "6551515460014343": 13, "2812": [], "scalex": [], "scalei": [], "arg": [], "kwarg": [], "2810": [], "_copy_docstring_and_deprec": [], "2811": [], "gca": [], "2813": [], "2814": [], "_ax": [], "1690": [], "1688": [], "_get_lin": [], "1689": [], "add_lin": [], "1691": [], "1692": [], "_request_autoscale_view": [], "_base": [], "_axesbas": [], "2301": [], "get_clip_path": [], "2302": [], "set_clip_path": [], "_update_line_limit": [], "2305": [], "get_label": [], "2306": [], "set_label": [], "_child": [], "_children": [], "2327": [], "2323": [], "2324": [], "2325": [], "datalim": [], "2326": [], "get_path": [], "2328": [], "2329": [], "1029": [], "1027": [], "1028": [], "_invalidi": [], "_invalidx": [], "recach": [], "1030": [], "_path": [], "660": [], "661": [], "yconv": [], "convert_yunit": [], "_yorig": [], "_to_unmasked_float_arrai": [], "ravel": [], "663": [], "664": [], "cbook": [], "1335": [], "1333": [], "asarrai": [], "1334": [], "1965": [13, 19], "ipykernel_71101": [], "hed81": 19, "128": 19, "ho85": 19, "mm06": 19, "386": 19, "401": 19, "sw65": 19, "591": 19, "611": 19, "ipykernel_71350": [], "ipykernel_75354": [], "ipykernel_75478": [], "392003": 14, "213698": 14, "281069": 14, "ipykernel_77133": [], "moodgain_fig": [], "605305": [], "9601900577545166": [], "605305016040802": [], "ipykernel_83958": [], "ipykernel_84056": [], "ipykernel_84159": [], "ipykernel_84247": [], "ipykernel_84350": [], "ipykernel_84747": [], "ipykernel_84951": [], "ipykernel_85139": [], "ipykernel_85235": [], "ipykernel_85513": [], "ipykernel_85728": [], "ipykernel_85908": [], "multiindic": 14, "themeselv": 14, "monstros": [], "ipykernel_86606": [], "seper": 7, "ipykernel_96371": [], "counter": [7, 14], "trace": 14, "resus": 14, "ipykernel_96517": [], "hmmm": 14, "ipykernel_96643": [], "ipykernel_96780": [], "ipykernel_96890": [], "ipykernel_96995": [], "ipykernel_97175": [], "ipykernel_97355": [], "ipykernel_97449": [], "ipykernel_97593": [], "riski": 14, "fwer": 14, "alpha_": [], "hypothesistest": [], "cite": 15, "shaffer1995": [], "_correct": [], "comparisons_": [], "posthoc2": [], "hsu1996": [], "_bonferroni": [], "correction_": [], "dunn1961": [], "142625": 14, "99407947": 14, "antsi": 14, "skeptic": 14, "chair": 14, "infrastructur": 14, "erect": 14, "regain": 14, "somedai": 14, "kinda": 14, "innit": 14, "aplomb": 14, "23828653684436": [], "1457300163208854e": [], "147": [], "139": [], "hasattr": [], "cl": [], "_autogenerated_signatur": [], "subclass": [], "141": [], "142": 15, "inherit": 7, "143": [], "hierarchi": [], "144": [], "flag": [], "145": [], "148": [], "__name__": [], "149": 15, "__qualname__": [], "1227": [], "1228": [], "docstr": [], "signatur": [], "1229": [], "_update_set_signature_and_docstr": [], "1230": [], "_internal_upd": [], "normalize_kwarg": [], "1223": [], "1216": [], "1217": [], "1218": [], "prenorm": [], "1219": [], "1220": [], "1221": [], "maintain": 7, "backcompat": [], "1222": [], "_update_prop": [], "1224": [], "prop_nam": [], "1197": [], "prop": [], "errfmt": [], "1195": [], "getattr": [], "set_": [], "1196": [], "callabl": [], "1198": [], "1199": [], "ret": [], "1200": [], "1990": 15, "ce": 15, "shill": 15, "duplic": 15, "2d": 15, "my_sleep": 15, "my_grump": 15, "upcom": 15, "\u00e0dj_r2": 15, "statisticali": [], "0435": 15, "8161": 15, "8123": 15, "0864": 15, "9047": 15, "0559": 15, "1715": 15, "0158": 15, "7937": 15, "0022": 15, "0388": 15, "9691": 15, "1089": 15, "1132": 15, "sink": 15, "cutoff": 15, "moreso": 15, "y\u02c6i": [], "yi": [], "fitted_v_observ": 15, "640x480": [], "lowess": 15, "curvatur": 15, "breusch": [15, 19], "pagan": [15, 19], "cozi": 15, "lagrang": 15, "linearli": 15, "bptest": 15, "het_breuschpagan": 15, "exog": 15, "24191983926486693": [], "8860694728713404": [], "bp79": 19, "trevor": 19, "adrian": 19, "heteroscedast": [15, 19], "coeffici": [16, 19], "econometrica": 19, "econometr": 19, "1287": 19, "1294": 19, "4886831614554388": 15, "7832200556890354": 15, "assur": [15, 17], "9656": 15, "0409": 15, "4231": 15, "9301": 15, "0010": 15, "9502": 15, "5535": 15, "0487": 15, "8518": 15, "0105": 15, "5275": 15, "5485": 15, "summari": [], "dep": 15, "wed": [], "jun": [], "2023": 15, "15e": 15, "287": 15, "aic": 15, "581": 15, "bic": 15, "588": 15, "nonrobust": 15, "041": 15, "423": 15, "930": 15, "553": 15, "852": 15, "271": [15, 16], "039": 15, "969": 15, "527": 15, "549": 15, "omnibu": 15, "durbin": 15, "watson": 15, "743": 15, "jarqu": 15, "bera": 15, "jb": 15, "218": 15, "053": 15, "897": 15, "203": 15, "heteroskedast": [15, 19], "cov_typ": 15, "sandwich": 15, "hc1": 15, "201": 15, "78e": 15, "996": 15, "793": 15, "597": 15, "987": 15, "780": 15, "282": 15, "037": 15, "970": 15, "541": 15, "563": 15, "mmmm": 15, "smell": 15, "diag": 15, "1980": [15, 19], "june": 15, "vif": 15, "x_k": 15, "2_": 15, "b_k": 15, "variance_inflation_factor": 15, "listcomp": [], "960321": 15, "148528": 15, "658389": 15, "442617": 15, "015119": 15, "mighti": 15, "outliers_influ": 15, "784569": 15, "651038": 15, "residplot": 15, "line_kw": 15, "fri": [], "resid1": 15, "evenli": 15, "regressionn": 15, "p3": [15, 16], "mon": [], "jul": 15, "nonaddit": 15, "tukey1949on": 15, "fox2018r": 15, "nonlinear": 15, "mod_curve_check": 15, "540": 15, "642": 15, "027": 15, "979": 15, "819": 15, "878": 15, "958": 15, "867": 15, "494": 15, "522": 15, "603": 15, "773": [15, 19], "011": 15, "266": 15, "966": 15, "517": 15, "010": 15, "162": 15, "033": 15, "sdfsdafad": [], "cox": 15, "997024": 15, "626177": 15, "907817": 15, "103952": 15, "whi80": 19, "econometrika": 19, "838": 19, "logarithm": 15, "ln": 15, "boxcox": 15, "dan_sleep_transform": 15, "best_lambda": 15, "kdeplot": 15, "7912772737277842": 15, "997866": 15, "625397": 15, "895394": 15, "093393": 15, "989864": 15, "df_slplot": 15, "sqrt_abs_stand_r": 15, "sl": 15, "991": [], "989": [], "_pylab_help": [], "gcf": [], "destroy_fig": [], "990": [], "992": [], "discount": 15, "absorb": [15, 16], "ockham": 15, "razor": 15, "pithi": 15, "chuck": 15, "akaik": [15, 19], "2k": 15, "mod_ful": 15, "summai": 15, "811": 15, "42e": 15, "582": [15, 16], "2787": 15, "242": 15, "945": 15, "842": 15, "715": 15, "9693": 15, "081": 15, "858": 15, "0157": 15, "058": 15, "954": 15, "526": 15, "558": 15, "0044": 15, "015": 15, "288": 15, "774": 15, "035": 15, "026": 15, "599": 15, "741": 15, "898": 15, "441": 15, "wade": 15, "get_aic": 15, "model_nam": 15, "as_text": 15, "hairli": 15, "whitespac": 15, "mod_no_dai": 15, "mod_no_babi": 15, "mod_no_dan": 15, "710": 15, "579": 15, "747": 15, "inclin": 15, "seduct": 15, "inclus": 15, "nml": 15, "posterior": [15, 17], "ins": 15, "stepwis": 15, "narrowli": 15, "defeat": 15, "inexact": 15, "algorithm": 15, "differnc": 15, "tue": 15, "nuisanc": 15, "m1": [15, 16], "m0": [15, 16], "pigouin": 15, "dandi": 15, "ic": 15, "get_aic_b": 15, "empir": 15, "submodel": 15, "superscript": 15, "waaaaai": 15, "m_0": 15, "m_1": 15, "mo": 15, "df_resid": [15, 16], "ssr": [15, 16], "df_diff": [15, 16], "ss_diff": [15, 16], "1837": 15, "155916": 15, "092228": 15, "063688": 15, "003328": 15, "954116": 15, "hierarch": 15, "regressiondiagnost": [], "drug_mean": 16, "therapy_mean": 16, "ss_drug": 16, "ss_therapi": 16, "_a": 16, "_t": 16, "_m": 16, "845": 16, "9244": 16, "noisi": 16, "wall_color": 16, "xxxxxxx": [], "panel1": 16, "panel2": 16, "panel3": 16, "panel4": 16, "errorbar": [10, 16], "p4": 16, "ps": 16, "panelid": 16, "get_legend": 16, "horizontalalign": 16, "verticalalign": 16, "set_xticklabel": 16, "get_legend_handles_label": 16, "legend": 16, "ncol": 16, "avec": 16, "crossov": 16, "alpha_r": 16, "beta_c": 16, "awkwardli": 16, "_c": 16, "rearrang": 16, "eqnarrai": [], "align": [16, 17], "727": 16, "714": 16, "841": 16, "467": 16, "013": 16, "490": 16, "293": 16, "653": 16, "compris": 16, "phobia": 16, "desensitis": 16, "vs": 16, "wel": [], "eta_a": 16, "2_a": 16, "effsiz": 16, "7128": [], "0964": [], "0560": [], "713": 16, "056": 16, "unaccount": 16, "789": 16, "pacakg": 16, "09545": 16, "99123": 16, "qqnorm": [], "928816": 16, "185093": 16, "fussi": 16, "\u00eemagin": [], "jointli": 16, "decompos": 16, "r0": 16, "misguid": 17, "basicbay": [], "whybay": [], "bayesconting": [], "ttestbf": [], "bayesregress": [], "bayesanova": [], "umbrella": 17, "dry": 17, "mediterranean": 17, "southern": 17, "northern": 17, "africa": 17, "summer": 17, "wikipedia": 17, "rainfal": 17, "raini": 17, "climate_of_adelaid": 17, "045": 17, "0425": 17, "8075": 17, "0450": 17, "1050": 17, "0875": 17, "9125": 17, "d_1": 17, "d_2": 17, "h_2": 17, "d1": 17, "514": 17, "interfer": 17, "restat": 17, "learner": 17, "paradigm": 17, "flow": 17, "leap": 17, "lengthi": 17, "hphantom": [], "contrapt": 17, "plausibilti": 17, "ccccc": 17, "6pt": 17, "2pt": 17, "uparrow": 17, "bf": 17, "consider": 17, "jeffrei": [17, 19], "kass": [17, 19], "rafteri": [17, 19], "charit": 17, "upsid": 17, "inigo": 17, "montoya": 17, "princess": 17, "bride": 17, "forbidden": 17, "statstic": 17, "daili": [7, 17], "prei": 17, "newspol": 17, "2013": [17, 19], "emphasi": 17, "counterinuit": 17, "astrai": 17, "1925": [17, 19], "entitl": 17, "stringent": 17, "johnson2013": [], "threshold": 17, "stretch": 17, "portal": 17, "knowyourmem": 17, "meme": 17, "wiser": 17, "absurd": 17, "072": 17, "heard": 17, "fight": 17, "uphil": 17, "battl": 17, "career": 17, "suicid": 17, "academia": 17, "imdb": 17, "tt0093779": 17, "morei": 17, "steal": 17, "johnson": [17, 19], "enthusiast": 17, "budget": 17, "cost": 17, "kick": 17, "astoundingli": 17, "unaccept": 17, "lax": 17, "termin": [7, 17], "analyi": 17, "willpow": 17, "ineffici": 17, "balloon": 17, "extern": 17, "foolproof": 17, "whywhywhi": [], "fault": 17, "ambrosiu": 17, "macrobiu": 17, "quotationspag": 17, "ambrosius_macrobiu": 17, "sin": 17, "explictli": 17, "attack": 17, "straw": 17, "dial": 17, "vitriol": 17, "gear": 17, "supposedli": 17, "specul": 17, "gun": 17, "722": 17, "cdot": 9, "80042036": 9, "86043481": 9, "35375252": 9, "36144597": 9, "56924183": 9, "34600569": 9, "44885781": 9, "2415587": 9, "02471366": 9, "02290263": 9, "mathrm": 9, "3600096748558": [], "52992391769343": [], "7044051060008": [], "003466334432083": [], "77112912667978": [], "099208297733181": [], "notelawlargenumb": 10, "129": [], "aka74": 19, "ieee": 19, "716": 19, "723": 19, "fis25": 19, "oliv": 19, "boyd": 19, "edinburgh": 19, "jef61": 19, "oxford": 19, "joh13": 19, "valen": 19, "proceed": 19, "academi": 19, "19313": 19, "19317": 19, "kr95": 19, "robert": 19, "studio": 7, "extenst": 7, "expos": 7, "constantli": 7, "sugar": 7, "tea": 7, "coffe": 7, "spoon": 7, "bowl": 7, "pour": 7, "spoonful": 7, "bake": 7, "crack": 7, "yoke": 7, "swee": 7, "declar": 7, "sweet_enough": 7, "num_sugar_spoon": 7, "thrown": 7, "ingredi": 7, "flour": 7, "cinnamon": 7, "salt": 7, "powerful": 7, "colon": 7, "mandatori": 7, "flibbertigibbet": 7, "random_stuff": 7, "new_th": 7, "unsupport": 7, "operand": 7, "strng": 7, "wednesdai": 7, "encompass": 7, "thursdai": 7, "fridai": 7, "sundai": 7, "weekend": 7, "statment": 7, "perspicaci": 7, "letter_count": 7, "retyp": 7, "measure_word": 7, "precoci": 7, "IF": 7, "IT": 7, "WILL": 7, "tupl": 7, "first_lett": 7, "new_word": 7, "_if_": 7, "_you_": 7, "_say_": 7, "_it_": 7, "_loud_": 7, "_enough_": 7, "_will_": 7, "_always_": 7, "_sound_": 7, "_precocious_": 7, "dog": 7, "bunni": 7, "nihilist": 7, "NOT": 7, "new_numb": 7, "list_of_list": 7, "list_of_string_list": 7, "flattened_list": 7, "all_flow": 7, "begonia": 7, "lilac": 7, "rose": 7, "pansi": 7, "foxglov": 7, "buttercup": 7, "sunflow": 7, "b_flower": 7, "823452": 7, "4435": 7, "9070878072634": 7, "3421": 7, "4345": 7, "modulo": 7, "AND": 7, "baldfac": 7, "shebang": 7, "dunno": 7, "futz": 7, "sublist": 7, "paus": 7, "inst": 7, "untouch": 7, "check_first_lett": 7, "input_list": 7, "target_lett": 7, "output_list": 7, "food": 7, "pickl": 7, "beet": 7, "burger": 7, "chees": 7, "pepper": 7, "pizza": 7, "cardamom": 7, "cabbag": 7, "gerner": 7, "wheter": 7, "target": 7, "dilettant": 7, "stipul": 16, "model3": 16, "lump": 16, "formula1": 16, "formula3": [], "anovaresult": 16, "653333": 16, "738333": 16, "520408": 16, "024242": 16, "formula2": 16, "reassur": 16, "ss_res_nul": 16, "ss_res_ful": 16, "7383339999999999": 16, "ms_diff": 16, "f_stat": 16, "520414551231913": 16, "predictor1": 16, "predictor2": 16, "uglier": 16, "1p": 16, "2p": 16, "4356583710217": [], "797182424268012": [], "2154850507139": [], "4022151683824": [], "03319490190297": [], "054039128997667": [], "134": [], "02536241152112": [], "474882295087165": [], "08779941812442": [], "351776403288921": [], "01626459089115": [], "96223614291537": [], "124": [], "33971433769008": [], "655330245673708": [], "17861038487763": [], "712377772498066": [], "951064421052": [], "932120719256922": [], "262157162740991": 10, "ipykernel_63299": [], "4220361125": 10, "1339756836": 10, "3591514384": 10, "53960547224054": [], "186167782018202": [], "17191341063791": [], "86103856998936": [], "04894765095658": [], "098657549401311": [], "ipykernel_63592": [], "5083916244877": 10, "72448042232567": 10, "95368145848558": 10, "12238658574764": 10, "93179094823645": 10, "95182846479696": 10, "ipykernel_7964": 10}, "objects": {}, "objtypes": {}, "objnames": {}, "titleterms": {"why": [0, 7, 17], "do": [0, 2, 12, 13], "we": [0, 16], "learn": [0, 8, 20], "statist": [0, 4, 8, 9, 10, 11, 12, 14, 17, 20], "On": [0, 8, 14], "psycholog": [0, 1], "The": [0, 1, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "curs": 0, "belief": [0, 17], "bia": [0, 1], "cautionari": 0, "tale": 0, "simpson": 0, "s": [0, 4, 9, 12, 13, 14], "paradox": 0, "everydai": 0, "life": [0, 4], "There": 0, "more": [0, 3, 5, 6], "research": [0, 1, 11], "method": [0, 3], "than": 0, "A": [1, 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 16, 17], "brief": 1, "introduct": [1, 5, 9], "design": [1, 16], "measur": [1, 4], "some": [1, 6, 11], "thought": 1, "about": [1, 3, 17], "operationalis": 1, "defin": [1, 10], "your": [1, 6, 11], "scale": 1, "nomin": 1, "ordin": 1, "interv": [1, 10], "ratio": 1, "continu": [1, 12], "versu": [1, 11, 16], "discret": 1, "variabl": [1, 2, 3, 4, 6], "complex": [1, 5], "assess": 1, "reliabl": 1, "role": 1, "predictor": 1, "outcom": [1, 16], "experiment": 1, "non": [1, 13, 16], "valid": 1, "studi": [1, 11], "intern": 1, "extern": 1, "construct": [1, 12, 13, 17], "face": 1, "ecolog": 1, "confound": 1, "artifact": 1, "other": [1, 9, 17], "threat": 1, "histori": 1, "effect": [1, 11, 12, 13, 14, 16], "matur": 1, "repeat": 1, "test": [1, 11, 12, 13, 14, 15, 16, 17], "select": [1, 15], "differenti": 1, "attrit": 1, "respons": 1, "regress": [1, 15, 16, 17], "mean": [1, 4, 6, 9, 10, 13, 14, 17], "demand": 1, "reactiv": 1, "placebo": 1, "situat": 1, "subpopul": 1, "fraud": 1, "decept": 1, "self": 1, "summari": [1, 3, 4, 9, 10, 11, 12, 13, 14, 15, 16, 17], "get": [2, 4, 14], "start": [2, 3], "python": [2, 3, 4, 5, 9, 10, 12, 13, 14, 15, 16, 20], "instal": [2, 3], "us": [2, 3, 4, 7, 9, 13, 17], "code": 2, "thi": [2, 3, 16, 17], "book": [2, 3], "type": [2, 3, 11, 16, 17], "command": 2, "consol": 2, "Be": 2, "veri": 2, "care": 2, "avoid": 2, "typo": 2, "teeni": 2, "bit": 2, "flexibl": 2, "space": 2, "simpl": [2, 10], "calcul": [2, 4, 10, 14, 15, 16], "ad": 2, "subtract": 2, "multipli": 2, "divid": 2, "take": 2, "power": [2, 11], "right": [2, 9], "order": 2, "store": 2, "number": [2, 10], "concept": 3, "comment": [3, 12], "import": 3, "what": [3, 4, 9, 13, 16, 17], "librari": 3, "doe": [3, 9, 10, 16], "how": [3, 9, 10, 12, 14], "i": [3, 16], "list": [3, 6, 7], "object": 3, "activ": 3, "memori": 3, "remov": [3, 14], "from": [3, 6, 10, 13, 14], "workspac": 3, "load": 3, "save": [3, 5], "data": [3, 4, 5, 6, 11, 12, 13, 14, 15, 16, 17], "filesystem": 3, "path": 3, "csv": 3, "file": [3, 5], "datafram": [3, 6], "thing": 3, "know": 3, "check": [3, 13, 14, 15, 16], "regular": 3, "collect": 3, "interg": 3, "float": 3, "string": 3, "argument": 3, "find": [3, 17], "length": 3, "tupl": 3, "dictionari": 3, "combin": 3, "set": [3, 14, 16], "dynam": 3, "index": 3, "slice": [3, 6], "singl": [3, 4, 15], "valu": [3, 4, 11, 13, 15, 17], "rang": [3, 4], "between": [3, 11, 14, 15, 16], "end": 3, "nth": 3, "posit": [3, 13], "everi": 3, "item": [3, 6], "within": 3, "descript": 4, "central": [4, 10], "tendenc": 4, "median": 4, "differ": [4, 7, 9, 11, 12, 13, 16], "real": 4, "exampl": [4, 13, 14], "trim": 4, "mode": 4, "interquartil": 4, "absolut": 4, "deviat": [4, 10, 13], "varianc": [4, 14, 15, 16], "standard": [4, 10, 13, 16, 17], "which": 4, "skew": 4, "kurtosi": 4, "an": [4, 5, 14, 15, 16], "overal": 4, "describ": [4, 13], "frame": [4, 6], "score": 4, "correl": [4, 15], "strength": 4, "direct": 4, "relationship": [4, 14, 15], "coeffici": [4, 15], "interpret": [4, 10, 15, 16, 17], "handl": 4, "miss": 4, "case": [4, 15], "pairwis": [4, 14, 15], "epilogu": [4, 18], "good": [4, 12], "ar": [4, 9, 10, 16], "draw": 5, "graph": 5, "overview": 5, "graphic": 5, "plot": [5, 10, 13], "littl": 5, "color": 5, "titl": 5, "axi": 5, "label": 5, "font": 5, "size": [5, 11, 12, 13, 14, 16], "relat": 5, "matter": [5, 10], "open": 5, "box": 5, "histogram": 5, "boxplot": 5, "multipl": [5, 6, 14, 15], "altern": [5, 11, 12], "word": 5, "caution": 5, "violin": 5, "scatterplot": 5, "bar": 5, "imag": 5, "enough": 5, "now": 5, "wrangl": 6, "pull": 6, "out": 6, "content": 6, "tip": 6, "road": 6, "tabul": 6, "cross": 6, "convert": 6, "tabl": [6, 17], "count": [6, 16], "proport": 6, "transform": 6, "recod": 6, "creat": 6, "cut": 6, "numer": 6, "categori": [6, 16], "few": 6, "mathemat": 6, "function": [6, 7, 11, 15], "oper": 6, "round": 6, "row": 6, "wise": 6, "dice": 6, "pop": 6, "extract": [6, 17], "subset": 6, "sort": 6, "flip": 6, "merg": 6, "column": 6, "largest": 6, "smallest": 6, "transpos": 6, "join": 6, "concaten": 6, "reshap": 6, "wide": 6, "long": 6, "format": 6, "basic": [7, 9], "program": 7, "script": 7, "loop": 7, "condit": 7, "statement": 7, "comprehens": 7, "kind": [7, 15, 16], "nest": 7, "abstract": 7, "gener": [7, 15], "theori": [8, 9, 17], "limit": [8, 10], "logic": [8, 14], "reason": [8, 17], "without": 8, "make": [8, 11], "assumpt": [8, 12, 13, 14, 15, 16], "myth": 8, "probabl": [9, 11, 17], "frequentist": [9, 11], "view": [9, 11], "bayesian": [9, 11, 17], "And": 9, "who": 9, "introduc": [9, 13], "distribut": [9, 10, 11, 12], "binomi": 9, "work": [9, 13, 14], "normal": [9, 13, 14, 15, 16], "densiti": 9, "estim": [10, 13, 15], "unknown": 10, "quantiti": 10, "sampl": [10, 11, 12, 13, 17], "popul": 10, "random": 10, "most": 10, "much": 10, "you": [10, 14, 17], "don": 10, "t": [10, 13, 14, 17], "have": 10, "paramet": [10, 16], "law": 10, "larg": 10, "theorem": 10, "exist": [10, 16], "ani": 10, "confid": 10, "slight": 10, "mistak": [10, 11], "formula": [10, 14, 15], "hypothesi": [11, 12, 13, 15, 17], "menageri": 11, "hypothes": [11, 16], "null": [11, 12], "two": [11, 13, 14, 15, 16], "error": 11, "decis": 11, "critic": 11, "region": 11, "note": 11, "signific": [11, 15], "one": [11, 13, 14, 16], "side": [11, 13], "p": [11, 17], "softer": 11, "extrem": 11, "common": 11, "report": [11, 12], "result": [11, 12, 16, 17], "issu": 11, "propos": 11, "solut": 11, "run": [11, 14, 16], "practic": 11, "increas": 11, "consid": 11, "neyman": 11, "fisher": [11, 12], "trap": 11, "categor": 12, "analysi": [12, 16, 17], "chi": 12, "2": [12, 15], "fit": [12, 15], "card": 12, "gof": 12, "advanc": [12, 14], "specifi": [12, 16], "notat": 12, "independ": [12, 13, 17], "associ": 12, "our": [12, 16], "scipi": 12, "stat": 12, "pingouin": 12, "postscript": [12, 16], "correct": [12, 14], "exact": 12, "mcnemar": 12, "compar": [13, 14, 15, 16], "z": 13, "infer": 13, "problem": 13, "address": 13, "student": [13, 14], "pool": 13, "same": 13, "complet": 13, "neg": 13, "welch": 13, "pair": [13, 17], "One": 13, "cohen": 13, "d": 13, "qq": 13, "shapiro": 13, "wilk": 13, "wilcoxon": 13, "sever": 14, "wai": [14, 16], "anova": [14, 16, 17], "illustr": 14, "y": 14, "sum": [14, 16], "squar": [14, 16], "f": [14, 15, 16], "model": [14, 15, 16, 17], "comparison": [14, 16], "post": [14, 16], "hoc": [14, 16], "bonferroni": 14, "holm": 14, "write": [14, 17], "up": [14, 17], "robust": 14, "homogen": [14, 15, 16], "leven": [14, 16], "behind": 14, "kruskal": 14, "walli": 14, "addit": [14, 16], "detail": 14, "linear": [15, 16], "warn": 15, "quantifi": 15, "r": 15, "adjust": 15, "whole": 15, "individu": 15, "all": [15, 17], "standardis": 15, "three": 15, "residu": [15, 16], "anomal": 15, "factori": 16, "1": [], "balanc": 16, "interact": 16, "refer": 19, "mad": 14, "collinear": 15, "backward": 15, "elimin": 15, "caveat": 15, "degre": 16, "freedom": 16, "captur": 16, "allow": [], "exactli": 16, "main": 16, "chang": 16, "baselin": 16, "equival": 16, "binari": 16, "factor": [16, 17], "contrast": 16, "treatment": 16, "helmert": 16, "zero": 16, "unbalanc": 16, "coffe": 16, "iii": 16, "ii": [16, 17], "probabilist": 17, "ration": 17, "agent": 17, "likelihood": 17, "joint": 17, "updat": 17, "bay": 17, "rule": 17, "think": 17, "thei": 17, "evidentiari": 17, "can": 17, "believ": 17, "Is": 17, "realli": 17, "bad": 17, "conting": 17, "orthodox": 17, "text": 17, "plan": 17, "quick": 17, "refresh": 17, "version": 17, "best": 17, "includ": 17, "term": 17, "prior": 17, "befor": 17, "lie": 17, "while": 7, "syntax": 7, "pattern": 7}, "envversion": {"sphinx.domains.c": 2, "sphinx.domains.changeset": 1, "sphinx.domains.citation": 1, "sphinx.domains.cpp": 6, "sphinx.domains.index": 1, "sphinx.domains.javascript": 2, "sphinx.domains.math": 2, "sphinx.domains.python": 3, "sphinx.domains.rst": 2, "sphinx.domains.std": 2, "sphinx.ext.intersphinx": 1, "sphinxcontrib.bibtex": 9, "sphinx": 56}})
\ No newline at end of file