From da6cfb5459ce43b0510cdaf833efb06f5ff0190e Mon Sep 17 00:00:00 2001 From: ujijrujijr Date: Sat, 21 Sep 2024 09:14:02 +0400 Subject: [PATCH 1/3] =?UTF-8?q?=D0=9B=D0=B0=D0=B1=201?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .gitignore | 182 +++++++++++++++++++++++++++++++++++ README.md | 6 +- lab_1/Lab1.ipynb | 213 +++++++++++++++++++++++++++++++++++++++++ lab_1/lab1.png | Bin 0 -> 53755 bytes lab_1/requirements.txt | Bin 0 -> 1142 bytes 5 files changed, 400 insertions(+), 1 deletion(-) create mode 100644 lab_1/Lab1.ipynb create mode 100644 lab_1/lab1.png create mode 100644 lab_1/requirements.txt diff --git a/.gitignore b/.gitignore index 207d123..d4bab93 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,21 @@ +# ---> VisualStudioCode +.vscode/* +!.vscode/settings.json +!.vscode/tasks.json +!.vscode/launch.json +!.vscode/extensions.json +!.vscode/*.code-snippets + +aimenv + +static + +# Local History for Visual Studio Code +.history/ + +# Built Visual Studio Code Extensions +*.vsix + # ---> JupyterNotebooks # gitignore template for Jupyter Notebooks # website: http://jupyter.org/ @@ -12,3 +30,167 @@ ipython_config.py # Remove previous ipynb_checkpoints # git rm -r .ipynb_checkpoints/ +# virtual +/mai + +# ---> Python +# Byte-compiled / optimized / DLL files +__pycache__/ +*.py[cod] +*$py.class + +# C extensions +*.so + +# Distribution / packaging +.Python +build/ +develop-eggs/ +dist/ +downloads/ +eggs/ +.eggs/ +lib/ +lib64/ +parts/ +sdist/ +var/ +wheels/ +share/python-wheels/ +*.egg-info/ +.installed.cfg +*.egg +MANIFEST + +# PyInstaller +# Usually these files are written by a python script from a template +# before PyInstaller builds the exe, so as to inject date/other infos into it. +*.manifest +*.spec + +# Installer logs +pip-log.txt +pip-delete-this-directory.txt + +# Unit test / coverage reports +htmlcov/ +.tox/ +.nox/ +.coverage +.coverage.* +.cache +nosetests.xml +coverage.xml +*.cover +*.py,cover +.hypothesis/ +.pytest_cache/ +cover/ + +# Translations +*.mo +*.pot + +# Django stuff: +*.log +local_settings.py +db.sqlite3 +db.sqlite3-journal + +# Flask stuff: +instance/ +.webassets-cache + +# Scrapy stuff: +.scrapy + +# Sphinx documentation +docs/_build/ + +# PyBuilder +.pybuilder/ +target/ + +# Jupyter Notebook +.ipynb_checkpoints + +# IPython +profile_default/ +ipython_config.py + +# pyenv +# For a library or package, you might want to ignore these files since the code is +# intended to run in multiple environments; otherwise, check them in: +# .python-version + +# pipenv +# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. +# However, in case of collaboration, if having platform-specific dependencies or dependencies +# having no cross-platform support, pipenv may install dependencies that don't work, or not +# install all needed dependencies. +#Pipfile.lock + +# poetry +# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control. +# This is especially recommended for binary packages to ensure reproducibility, and is more +# commonly ignored for libraries. +# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control +#poetry.lock + +# pdm +# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control. +#pdm.lock +# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it +# in version control. +# https://pdm.fming.dev/#use-with-ide +.pdm.toml + +# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm +__pypackages__/ + +# Celery stuff +celerybeat-schedule +celerybeat.pid + +# SageMath parsed files +*.sage.py + +# Environments +.env +.venv +env/ +venv/ +ENV/ +env.bak/ +venv.bak/ + +# Spyder project settings +.spyderproject +.spyproject + +# Rope project settings +.ropeproject + +# mkdocs documentation +/site + +# mypy +.mypy_cache/ +.dmypy.json +dmypy.json + +# Pyre type checker +.pyre/ + +# pytype static type analyzer +.pytype/ + +# Cython debug symbols +cython_debug/ + +# PyCharm +# JetBrains specific template is maintained in a separate JetBrains.gitignore that can +# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore +# and can be added to the global gitignore or merged into this file. For a more nuclear +# option (not recommended) you can uncomment the following to ignore the entire idea folder. +#.idea/ \ No newline at end of file diff --git a/README.md b/README.md index 740694f..900820c 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,6 @@ -# AIM-PIbd-32-Chernyshev-G-Y +ПИбд-32 +Чернышев Георгий Янович +Вариант 1 (26) +Объекты вокруг Земли +https://www.kaggle.com/datasets/sameepvani/nasa-nearest-earth-objects diff --git a/lab_1/Lab1.ipynb b/lab_1/Lab1.ipynb new file mode 100644 index 0000000..b71fff4 --- /dev/null +++ b/lab_1/Lab1.ipynb @@ -0,0 +1,213 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **НАЧАЛО ЛАБЫ**\n", + "\n", + "Выгрузка данных из csv" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['id', 'name', 'est_diameter_min', 'est_diameter_max',\n", + " 'relative_velocity', 'miss_distance', 'orbiting_body', 'sentry_object',\n", + " 'absolute_magnitude', 'hazardous'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "df = pd.read_csv(\".//static//csv//neo.csv\", nrows=15000)\n", + "print(df.columns)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## **СТОЛБЦЫ ДАТАСЕТА:**\n", + "\n", + "**Id**\n", + "\n", + "**name**\n", + "\n", + "**est_diameter_min** – минимальный радиус косм. объекта (астероид, комета) рядом с Землёй (км)\n", + "\n", + "**est_diameter_max** – максимальный радиус косм. объекта\n", + "\n", + "**relative_velocity** – скорость относительно Земли (км/с)\n", + "\n", + "**miss_distance** – расстояние, на кот. проходит рядом с Землёй (км)\n", + "\n", + "**orbiting_body** – тело, вокруг которого вращается (везде Земля)\n", + "\n", + "**sentry_object** – ведётся ли за ним авто мониторинг, как за телом, кот. может столкнуться с Землёй (везде false)\n", + "\n", + "**absolute_magnitude** – звёздная величина (яркость)\n", + "\n", + "**hazardous** – опасный для Земли / нет" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Диаграмма ниже показывает разницу между максимальным вероятным диаметром космического объекта и минамальным (на срезе первых 100 объектов). С помощью неё можно увидеть, что у большинства объектов разница между этими двумя значениями составляет меньше 1 км, что говорит о достаточно хорошей точности измерения размера объекта" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data1 = df[:100].copy()\n", + "data1['diameter_dif'] = data1['est_diameter_max'] - data1['est_diameter_min']\n", + "data1['index'] = data1.index\n", + "data1.plot(kind='scatter', x='index', xlabel='Порядковый номер объекта в датасете', y='diameter_dif', ylabel='Разница', figsize=(12, 6), title='Разница между макс. диаметром (est_diameter_max) и мин диаметром (est_diameter_min) объекта (первые 100 записей)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## На диаграмме ниже показана средняя скорость относительно Земли для космических объектов, которые потенциально опасны (hazardous=true) и неопасны (hazardous=false). С помощью неё можно сделать вывод о том, что потенциально опасны те космические объекты, у которых относительная скорость в среднем больше 60 000 км/с" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 69, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Группировка данных по значению 'hazardous' и вычисление средней относительной скорости\n", + "data2 = df.groupby('hazardous')['relative_velocity'].mean()\n", + "handles = [plt.Rectangle((0,0),1,1, color='blue'), plt.Rectangle((0,0),1,1, color='red')]\n", + "labels = ['Потенциально не опасный', 'Потенциально опасный']\n", + "data2.plot(kind='bar', figsize=(10, 6), color=['blue', 'red'], xlabel='Значение столбца \"hazardous\"')\n", + "plt.legend(handles, labels)\n", + "\n", + "\n", + "#ПОЧЕМУ НЕ ОТОБРАЖАЕТСЯ ОБЕ ПОЛОСКИ В КОДЕ НИЖЕ без handles?\n", + "# plot = df.groupby('hazardous')['relative_velocity'].mean().plot.bar(color=[\"pink\", \"green\"])\n", + "# plot.legend([\"Потенциально не опасный\", \"Потенциально опасный\"])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Диаграмма ниже показывает процентное соотношение космических объектов, за которыми ведётся автоматическое наблюдение, т.к. они представляют серьёзную угрозу, и космических объектов, за которыми такое наблюдение не ведётся. На диаграмме видно, что за всеми космическими объектами наблюдения не ведётся. Это означает, что в данном датасете нет настолько опасных космических объектов, которые требовали бы постоянных наблюдений" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 70, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "data3=df['sentry_object'].value_counts()\n", + "labels=['Не происходит автомониторинг, как за опасным объектом', 'Происходит автомониторинг, как за опасным объектом']\n", + "colors=['blue', 'red']\n", + "data3.plot(kind='pie', figsize=(8, 8), labels=None, colors=colors, autopct='%1.1f%%')\n", + "handles = [plt.Line2D([0], [0], color=colors[0], lw=4), plt.Line2D([0], [0], color=colors[1], lw=4)]\n", + "plt.legend(handles, labels)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "aimenv", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.5" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/lab_1/lab1.png b/lab_1/lab1.png new file mode 100644 index 0000000000000000000000000000000000000000..de124f3ef1a40494665a69253d8b0bfbf1fb612b GIT binary patch literal 53755 zcmeFZ2T)UO)GmtpDW4+p3DTR2fKsJ*umRGgg%XM+QbRFx2*pY-0)`Gzy0p-HlNRYs z2t7jRp%_{qv=hMZKmVOMGxwi+|2uPL?#T?p&d$!x`>uDrYdveNXYJq@n#z>dn68nL zkx{BVf2Ko5M$St{c5&$ME2J}7lIv`we-~VIl%J3l_OdLK-uz|#SmQAnS#c!Ap~Yp= z`>U^?8@Z5?-Do-eyMS`ac|}Gx@JZ#_V?9r^)v2rTdh-c_zblQ#FVl-&Td#V{%=A6) z2u)m=nn@Z|QRwzf(RXHdv|nG4xb^Uh z_QSj5J(HFiC@bjZbMt}33f8|ZdKY)wpCoS*f|8;)U`NZ(* z`O#-ZMScC@XxHmaJfMX@7tjiDqm5kTn2p_k)7A&y7FYbLV{_l1oR*fhcp)(lbp?l{ zPjafz-X3@F8g<1wE~j^4Fem#ubw?dELO6tAE4O(aBL&?t$CeRYW@ORHwiHvW+AEFT)Ps{doiE z3A=KImzd=P75Kb1hK)K8*ty+o zr%Pj~Ql9-qII5d7VQBClJ@L;bk#jZY9|!4?rq^mbNpy>JLN%UrSrvQx&~6+q$5vt6 zwmrdiW-&x(rLek%NW4!CP*n}s9BY46bCd^NSDMI{@p1tZfz0i`B7;+D0jOY%^qq!S zR*9X%=EV^r3L}FmaLSMgC)%>e{mNY$crevta}2>X5}5Iw2#<*D!FpMKi&N3Op^fTP zeFOgq+^EAei}8@77(admyRdB6S5+ND02sc2AF$^+%09oN`E& zhfccV76VQ^`2}iLiB(HlBC}nu{C9e0lUj(c*zMF^7WYW&pA=!Y)~MV|$QMcxA9_BFWW$DCM>0fR9||m_P|A${Q5p&h|%t>Zvk45m87UT6N%^u>iEnD&)+q71}6QL5Pk$k=;Vp`F%>2_U7%4=b1iATtTnr@RS|VP()+~T zOlwhcHEjahT`!$|z^_fL*;ZI1Rvq>`E}QWhib`Z@r82~{*D+v^#YK+s%gON#w|)7F zmC#Go)855x=!0jNQTVM53>|i8itgJgwVcFKG^1;1iu(qw+yPaPZ)1b4o_n|4WPCIx zl7U(xO!khuDnXS|WWCLE{bTU588*7e`FZ59^Kg`ixa#{Zt9+vbJusb@W6yqKwfp=V zxr6pEZ($iQN;!oih1oVngG`uI?FLc%`pUSNj6n4+_`7ked5@fg-x1o}5*0j-=Ef;Z z)8Q5-%DCRng>qXXVuqsK_>=N}B~wl#9}Qk~pD?ksOzAV+st!S#R->#I+s)*TIi@b1 z%H0Mt?r%Ad>ucK^Tdq=Z0d=Zrki)xXV~W9vfAi1`<9}DFXv5dbVWA7H88h_lHv>~x zP$@F9en)c|@sfFFFA@wNN@VqTODHMqzc4upMYP={rwScHGB6IwtFZ@GRM z^$nM+79>^*E*rh*h&LzS0#+9+m-B?)H#rfuT{Gs%v5yT0P2F9y4mCa3x?Q`=HkV|? zxHKJ=7@`b+o2kR(SSv#kgxsGMt7hMAm!+Wry!i)dw}OQZ+_Y{rqS6T0GEOc8pgs## zwy9ub1lNf`k&T;t%KBJTYfBGtx;OYhS!~OrvYg*j!ttoh2s#)Z1Kd%t+1rcJ8qyw0 zZN$Y^9phcIuO}wrNDd|;A~vSyMo{=BcBoROmWAYhzr1X(l2Yi z9j-BhQwXT#2OD*-=Q(|j5DuwGF?H`c@;yQkH7vQNJKQ=kyIr~w2HoMk56oSes@j<>oy`iqs5Y+Srp`n#DZSK4g-HEp zh%Qsc(tve{t@@rO(E)ck$J_^RDQ$N`8tuD}%Xj0uI*ya(jPtk}DzuFsBvb%3@+(Fz zP>#IwS!tV;hJ)>L`6%+eo|NYC#r!J$Eo(lplpcVy6-b}=tv}T@GUK6ZHv#QiF-f$- z>Pe%Azd*L?%sYnaYN#F|$L`iWS=LG!3NBO%IxNh#YwcZ6_<=uEG0f4u%gj&-p%J7I zu0p!dNnPD$xDywfblfBcHIPXfa^9Jz$3vw}rjNDZ0RiFq+>ZWF99cWVkhz=npg>d> zB&$V-Ny=K@zT2TvQJ#*E?zQ+rW~2P)h6;#%*>|0?m>wdm8@R9|awg4ANZa4Md8wf) z8g#dN!XEThf-Es<--KqCL5myI%B-Tdd4}qxxgvs#*F@_Me&Z)*3#lJGu_VYtSH|L6 z<)|iU!AjExrQwGdUhFvg`c1h|ztOPVZ_wd2!9q!hTkIGy&`f8MIAV{c4Bi=9d@;U= zMLip!r8~G0oL-@ha_f$iL8)t^x=`A2^ws{$;+x+mX1_D{g^Cc?0f!q;M<%Ow{1LYB zlN^g4F#|2-0-Ij?sJvhk{*m=q)>jTi0ONGYlTuH42|GPq7t?fI_m3!PyNQa0Tn=VE zaW2SH$In_Ui|rVNV|~Y}BME1mqWBC1H)mYC-hfjUgXpD>-fr^Ykk>-DhG{a#Np5Ii zmoC`uSW%3(S@n2UF4Pu}tdt{=S@6|nDoFF-leR+o(^Y*08y0Bk?Ck7azVGB0mLe&_ z8uxpwR>%t=?MR8#3c9&92>t3t-qwI3gnm^V3i>7lvZvV+2>m8Rd^@|fBDA-g(^By{JEO+iNv#8!(%b9Rs9TIKEMkrEH_ZSg;^;U*l5j=h&{yq0NDDZWZ3 zK7Lj*mao_QLpR#;%iiMxk}^@dd+w{Btt`#`j#V7{KV&V`94Ag>re74<4V9o6iOM%p z5N;g)3(jaRdy9}s8+3q-Q8-qr)6uU49!>!+mvB=sDZ%-!2kt^R0Hlk8JnucuQ3mrltDOwKm3%^G*A?Vfnw%?C* z9QBk3aHsH{tY5RdtEglH4MVjrOFE6K#iSSe?-mkq8CUcH@OqfyiECYcRv05AdlvQy zGu1l19D0QYMwQQAw4lz22dQhJ*4j}U?Vmy4A=?pP|1#x#jL;OnWy~GuF=PEu3Nfp_ zDsG%$oRa^Sl~#~8%@CBe9-CC_5gvZ9K_io?yprQB(B7bzvR;-FPL80?zQJ=Wan}gr zzL~WAT58;FiiHHdJidaM?ciHU3-Q<{GFnaxL1fhw-4zJfuL^2sIfm&+8j` zH`QARBTxa^9u=p5exs8-;__oVA*~*!7z#BK=y*K#X8VKaoDYXthkv2B>c56O$G76` z+JwxNtQIDuR>*^JJ$8+Qi4U%NkY6|I2M2_We}lrjYYdwPI0M$BEXLvcUAxeQ_H7~mFmnViZ*xdMiQ9|5R_D3rbmY?Va);f&uN(R7mm#>_50AUDk)ro;-6So#wD^yb9_#7p z>+`Fi9PFJZMdzZc6sCB8o|LJ9melCm6?cdetnSCA(1q!?+?cF(Q)N?z%8_q$lRUlE zt}nuBe^sP?RVo>o{N_89!lftY@5|zYccDasObB19<_RdJz6@&U_fR}8y)Za1^e;1J zc0ZL#7iX9EL+yoKJJ9{FmnmBK3&uFGix@$7)0);`^dw!2Dy_zdkb;YYmd)$P5_icv zZ1&DmZTmt;QAyYmOasGE;`OUC%6(IjK_Y!e?yF^*-Z>f6XhDT+ql7*`=Y>*wSRZmH z^7{!3dwQs>`0v#jDBjPOQ;$Z~&-@Sc(-{8E9cjX#JZbn!XvE62F|2Po^d{Pzrjbo1 z+X(jo;Ev(wt^4(vVLVUGJL5rtTV(8Tx98qm=`4C9v-a|}jiErQWLnITL$N!m9{Ua^ z81}tqE!udKkZI|!%p{{#j9L2^Fn;x%w~;$JI8X)?$qUBVVPiX^J~4a8jcn2D@ZF}l zJ3`>;D%VJz)A*5P4ECyq{LE?`m-lscE-_8)PVum!nedg=_0-n%wvd{2%>kEC*E;nD z)Cca+zqA;~=!*7Zzd=4bUOt#vx+>&gn>TLUB8^kTXN7KIM<@h>1G9Uz2+TvASIoT4 z!x)WTL3nI{qTKDKJ^&UEu*;L8XKw1SZ!`RG=ZyU**~2f4QYv@h-drzsfV1yT^RwuA#hUKnkDy#pQTe2N=+2VZY%( z*-()%2+Qhj_s^xa_I{RO*IcG$~i?#i*c<- zNI{LRfoh@MfNpD|bZerP-#pJ$c>s zs;9s!qm(`JL661*TuuZOZO$N}VSn!h--Mi9sx26Giz?!DrcAb%WgJ^SD50AiXhp1* z1}w#a0~J80o4y`XLQ@d`=xRa|C2(V~UsLO_{okP4@TI`jiLS-{WqC_{n5o^(;>wLrJnLk!EAt z0hRLpGB!suc+P!N$~%-ld8sq$+Vc@V)e;f$K2ilO$I`euGandf!fv2t7H~U{B#z}l z8L+C_BA)mZj}r>7bHcm_VR}RqB-sDK2r$j{h8-x=K{|}kf$405MBi^LlY+$jsCB;3 zKJK;xgRrpW<@Lb?X2QvAMf?lUOnb>x`huaT7+078TiFekpAsXgD5<3O>8EOC=6=4f z!W=aB>L$A*uWBji&N@9>9Ch!S@1L&zaEUM>GhtU=ud?vDyMXhGlZ$Uf&jU(MG-tK^ zsaVK(6L*;bg~httQ*x~6cp92xK;y^xTA_l+)jE|+XqcB?aZhkD2Uj+>W~J;+4{lUu zcN*!*JDNK{1JZ$fkWl+pvM~T%_%iEKu(73u2_Mj!W{x|)OK)~VY9+tQb?-;~_U>ek zoeFG13lW?YKu>j8f_q@*=McscRT1sGH(oUp2)l)hIP!cox$Rk8{&$?2L;tYY6*kc? zHXm05wIqgnJ*?Cj^zF?|XGg!1uB>tRYD<`AA)uYSl2?k+#n2X~ja*xl%;vP(Y;t`q ztv@DraW)GUIvMKj6IpV+YcgrHy@htTkW}e+a$!J$6)h&B6z1@8AO3shsX?nEXUnGF zKy9_!xIkulgItE`<=76BXes{irxlG_FO9UE<)U$CnY5z2c5xQ-bV>L0l}tgQtV{sr zaDQ97pAY_qIjM#@{A0Eq!KMPAEFu1CW59b$7pALSpQ`n&DH<|6`22TfYN*0dCLFy9 zi4qvtNan>RPxnypQRw$1F{ZQE@b^lu%`rH)8sTx|Tqy3IzxlJ}JPq(X!;}H7s4O1HzUXk6`5Ujoi0;OeJ~F2 zt~S(TMfi(zXPvAiRN=xb@KZCoY5;(fPyd&BUAKv#VFPpih7)99S!irg2TOGIJr`r9 zJhv4l(#`=2^ zlCyPHCr;rXi*>=xLv3su)ZE91A4b19p7b)oeIvs~$my@@<)sD}s}_!0XAg(GhDokZ&OmWLl`gJ#k^-e79fIS&+IZnH&Lbc; zvs2isZ>}CVPAvbNF~4jfa}0$Sl&H&lZ0?u)onc{s>slqHecEUZT<8wh$X|S0;7&D4 zAYgaWB9HpJqFQ&@RgRF#;7QL$zX1_eiT>xjqw#w_>U*NBmGrC<;onIS0o4r!4$UcF zqbFS+*en;Vh)^~pCQCvLVyDhC(jaoxkGVj4mBsf8Ed@s|c(OGM{V6})`T2F3GB3y_ z$GVNjikBL42T1n4Z!qOa=DV`a3;4CSUD>m?<8xO@5ORRvetN(^P+-6%rU3N& z!qeIA(!Nj#vR0f8_Ip>d{IzfI?(0Y#`vv8W<%u(==Im*6u!=faI(Kh?*ViU!*H z`sMdnD~mgzL!Z=Uk6n@d+Hsh;fcq}s?J;gt=1wj`Tz)gUYB8|>E}dmB)Np~t?P6H3 z&}we&Y%7u*yHKZmHD)7hBlXBLO0`-5I_p;1R-^-m2M1TSeL_U?8NWrJl;NjRl$1IZAW8^rH{a zaPLM#mPNvJd!Thg9ydL5^9Rq6!Aq@d zOwO1oq4Bap-yy%v?<gsS*24>aZyRG z@mRiHJ4fIUc413Ma5)EFWV|K2rbdjW;E4vxmTD>lf_fVdCJZ=Ic|toUr9=W1nKD{VF_TcB?}Fdvg&(p3#b zhf_{`^%I6DN#`!^Ow0y>97HK9L3a#63(ELN*HM1>@}pBy93YrjMiGCCOT7hZj7p znRJWTfwA90AMX;C-k;ZD4E4*liiFdYH{>aSF};Zlx>m~S2*Z1O6IOYnpm5i^GCGY2 z?MQla|Kb6AgrdmE%6B}ivrhm5cceAe+wh&u;U9v2C8P#lWzWF2k_)y6f%IWOHn#Uk*D8Qt za&0Jnx)**V$;dPmY8bQF5s|4DMEY-=_G z<`hYeloBVpY9UVbpNuT8%AFmcgq#)^htbNuf`>sSttwq^s!k>M1(Jo=2{3hl=Q zd)|oo?eZOC20(jOF`*ws>m`Ccjw&a-9uEoxsY(lok_@aOuZZop)9m6mOo9q@Agaxu z9A_V14rSE^u?|{2A6JQFH1dY6PUEn#6UfNWKAAfa(q&rPhEDr>-_IO&Q)k*yARJ=P zC>N@i9qzX}!l0kwjWkCV3~Hyj=oKd2NGg!dl2!OR%u_(kE-!Z{i(l2F^UKQCKE7ij z20S?A9|m-)lNXRa4wIanQ&=#@i5s9az`v!eTeUe0H_Ei+HI#WPb_i^@E|C^uRZjg% zXjc1&0man27(15bHMGLIz-{RN4D>mrv z!}f?D7=#2pa{AlJDTC#^#v`gC9E{BRf?C{Kwl;IoQp zC|-@#&yzr0hPjGW4L|%z)XcniTgL$^~-!$OP1*5ylJUsQCg|va}M#ll~?im z*)E{jJ?q&*m{aJMAJoE!@Ph{QqnZO7vn{o@#ikJsjTE&f)J0i70iedL&}& zNtStHxhl0GX(VrOqRx8zL9Aq-H%~h}ud}S$dxJ*VAt8doXK%X)j|1_)JYc(Z;FuZ_ zm!4XGkeTkC>d(a`I^yQ>eU3q<(6jt?UqgNRLL;S3B*DfR-#I+*WEIAQIUX@O^W$&e zQz172v4)i;4R2-W3Jt1n{YgH_F|&KAMA5}*IC=OqK7;h+E`nCo3ML&Zax~I0{Tf41 zUtR2qOJVRp&$ovMzY?m5hcLCW#YxdCBTiEj(Ap)1B16kxq{Qgp1W5H8TXHA~C~;GT zk}@qE0yVQ0RVPu4ph3)ZsFpmW3sPyj3VXKUYVvZrJ6`ABb7sjLr+j!sTz2QwL7PQe zb8D^&bUBj)+d_@|;F3-uppavEZ&@%ZlXm32D(0azHp%ZeW67V!JBw_%b#(PE9V zSY}*F5}s{yH=93$d}O=`T8{iM$AMChI9C(Z%B6Y@-9Fn%Qig}lh+O0}{Z#JiAO~A5 z*TRn^GEynXedWW=Ir#JowLL|)q6FJB6gBR~69crx6y&{NI$>4o&62Za zGeWc2ZBJiCUJ4myM0&*i2EQ2;2X@D`fRr8y5w0+vfh*2aj|Y&9@DxRdYUS(v zV#v65(dmZL^88}uWN%F{x>TA=-V2!QHqI#YYH2{o=6MaP&l48tI4yK1Mi+7^?}~Su zl=Z4^UCHaNquJIY)xSC^ro(~AJ<%1&sB|`8d78gCbv_HaLPaiGr?s}k zrmvCw4~MEx-xaEr($B+rDd~MpI+&wa zU5*gOU<}ge&UjMZ*I^C6K9N{ZVvxKQ>ZBaGFg-D!vDn`dYQQ=&DjLC5<4RlAQvukJ z#IN2Na7l0^SsDLvFH%(hPksGl`bxa$dNuW92x4zxU5))6V0VrFshUY6m9kclE$8_1 zIgg?X6G8(h9O5N9#zcfJHMYbmzN;)O))vX*&kpzI%gV&o#FBEg)9puu2aL|)u;10x zkj?T6fdMQmu9ek#qd4rlL9TNigZnZZ+WU(d;<`{UETdV!T*oj{KRO=N^J0v*w{D?M z>EZyOZ2!%kJI2*SePFk;%iIz}GaCSj2tHPG!$>QiY?w1O%9ceP{A61nuqI_|z@+r6 z+Qdb1r*QdVkAZS25?LbbCU(MEPVdam7?u}ET3D7iT4HpD^-Mw8W*Q$}g&UDF2(qRi zhk8p}Qc&!L7_HQ^Ax?`3&AfLtxx&2R;Xdh1fJ47u0P>pxdpZRMPJWBbM${sMXgr)2 zjKgu;!8A^d;)QZ`2KkuPrUI93_1woBBt(fT-`02Q%7R>%&C#P6=!K3xz7$s?X4|E| zOLR9$t#(>mohld`E{5ZFLv)c$Y;pcb!yJcW^?J=T!7 zv>?CK^7?THEq*j;28z<>MkNH^2zs038k&j|&zC1*pKiPv2||H2gLn&T#g*iJfF^#M zZhBv?N9e5DEqf1ojU*ECUA9MGTR zp;6$*#(NP&Z;B_aq`XeGkVW?#NeCsR5HW96;rw;?KwbZYI%x`G%i`@{{RXoDL<;R0x18NZDP2XK#m$d&zUIl3Rh^Lr!mPnR5NAL5gk{QB37nE$mE9u+&9sc@5 zd@9Q2(Y2gEWPmOn2Hlwg*;H=7(6QZL{J5;yN`gYH1~*otS^L-|xHY|zy2+E}JOTcn zYg<3MlLGmHkh;?>u zV{S3Ntibf2Vi(K0Ej#_XC|_C7Ql)rEj7N9))`oVOv8e5(gTRmYp2PhW-|5l1X>rN7^pEK4=QA0v-P8m0?(?LEYZe2U^tdeMzWST7aQj=Qd(M@0 z@1}GH8JsXGFiR*9KC~+2fjp`I;)+C6xF@sdLv?zHpHw^veV*=JW z&DQ(N_-65CSaOBZ^`7Ld@ol+iDHF*`VMi5ngl}XyJ?eK9qIGpu#965>@vn$wmxkd7 zN{3z#M!u@Q`_bH&)XgbUIfKlM4Z;%Yo%3;1MzKm@vr;RbfwRdFG>e)1;Bn&M;ey&=xp8&Fh zsB&>1kP{nqN*ePvtD{l@?X!Eou&!rOJ!#)mZ+?Kg(4$7oyU0T+uf9cM43`33At?o`?(oqDNVcm2JRnNs8V@(F?+n|Kkpb>m z{>{7CM#1hHA_vL6qGt2L*U*^S&kBv`u6)KnnphhEuAp_GW}z#yuD4tqsUg|wrQ&6l zQrZ}bkPopt-A1=IGM@g~_>5(~B-mg-Rp;VxFt~Ip3CW7@Rk$`@ZuKgUlOpc{MIIl` z*zdxp_6?7XrwmWIwP2GeTY>_LJJfdp~rX2 z#7bry0!R5U@BSDVz-tFK0N0(leuqtn7MC;RX#;-caFQ4kEQM$-M+!u&K}O2e`NAk5 zJX9imtVXm>_6^43hO6=qw@Q1lj0rA>t0WQrMh_lY-M{{KjA|E!!gG&nKNA)q?AED6 zcQn@x_Pi4BOxU?=u6YTQSdt4*CQU0k^noM2zGl}?T-LDXvn>*~!4?UBdl_ag_Uh~U zrP?+Q%*u<}04#g%U3aruM+$T~FLv(vL?#zb+uf9dO-hoTx{#S0ak?2Qbv62mcTV?e zlAS~nyv(xTfEY84yH$B_IO4>FL6H7K$WxE?TYU?Q2@Z@vV6c(0I9~zt^N~^L`zp)D zoTIvgwdQI#RPA`{-f%4DTbRdjvcJ#cu+h5TTj%(oDFm68n`@^c?N}MjgR=MZTqUYu z9NiLnLT4ldf^6K$jJ2rEjx8*FO7*J#urTxDE6hus^(}i;&Zn32)NpKN0Tm<@6I)CH zK1e|qE!;c*Bm)p6UUYug)TwOAd4Bl+jsp5$Hr)UFyO#em!c&F#UlM))n^rju^!?ps zwZZe`1=*vdZ-&uP{{ck8{?*O@I{)~;X;}Z0(ENXHc&Y;bPb@+jNJUB7(Io~cBdh5p zI@K|{6_zx+;^d)4IK3l@Z3;IU9~J3z!I%SS)Y6^X%09O649xqW*n8&43EE=ZV|FJN}K>dwJl9~R%39cZSB zh;ww~kv>UH-Pq>F;z=k6D*mj1P$Rwghv}YJpl&hWi!XTUoSv}*p(alKc6Mw8Q0t{K z8PvtDTgfqI|D@ofA()*g;Gejcnc7R`__M@ZXJ<7(sEb3P>O14y^M9tk5No-b2h7es690 zc({5?p3p5=dSQ_QtuTJuHQ%dOD;k}3W8ackbGVznlp_CUilSPK6HV@s?;Snwr`9ei z7h8L06sh842$&95?=}C~Pi6BfchHRqa@)<@Qey}&*o}2yzqEK7L8#hgT1LS3a*{dw z)|$%~HTvq#E>G_1yrDs{lf<8n`?)>l8OSbsxAC5HA4k@szaYjd zA})QqP&1bX@}!IS)?&!pen5^jQ+$OPqn;}s11J(BrM@cbh)`4yD8@Cu)FnB!AfsC! zWM%nY4fm%f;gK4gJ70aoPd%4f%U@Vtg{n;{Niotj-q1g^z~%ir@uE|#HIi0?lDM*H z+@2b33U;oQ+=xGf)U?Ig9*m8P7wz-gawNg>q5J)tU#p}hoOgRXcRzX;*q$rg8zs{H zyDN41ZSclJA#NlB3A4(}s);+*V*EH+?#ii8g^FYGJA}#FihBFwWTPqU7cA9}2)l`< zETDy_aVxj~q1V)+b%kyTzg1_p4ou?$vz-e(o zjKzI4btt{OXQZPu?Oh)o-UjZBzSig(T~o$S4p%poD5Vet97%dV{o9QZWimAxqJFM6 zw~?oN@3c{c^s*7L%>B1h1K{>Qn>#v3t^f!|hUI#CdKnyNSH4LWr{ayN>~adF7c6AF z#EZE1MZMw%tMt#XkFjSLJTglPfbYL?9!OKfXKVXMa4ScI*bYrctgL)o7I_0#S?oa!RU}>}%tnvCBmGoO#Sjy+*7Zye&IaSNC`L2H3zWGxB^^flds0ZAv z>?txHbcW~JVB|mt;CejY{E-4YHzM9Xp*|^cM;lJr|dmnZt z1G3YJ=qSQJ-0FyZp?x(k;&20Y?DQu0yjXL4Aj=~2&Bfo9=hyy#loko!`9gNcdj5WM zT=d_i_(AGbIY0TI{42?3GV|Szt0Q&M=yxYc2uAErN0y*S1vv9v>(FjL>0X87i1<&8 zY+hq>P-n#C%wSgQ@2_!+KmFG;WI&iL4nL9Es!<`ivbwrm3?`giVL+s};V2IJh%ksM zv6I(|LJ7-zZPP=4_6!ZyKbzTFXpONxx>xAMaqtLAp30tn?2zr6T{Ss5m=d;NiVk}R ziz+{YLQl#M+K9`JLw1XpjnBB*lBYG9sH9Kz9$MKlQi_X{`TO$?>{J;rBSoaq(c+rH zVQq|mpOpzgf1v+;WbbhuVf`f74Q(pH!^@kVmUb6*9;F(J71Y7uDzEhvf;yjHY$95q zH$^zxE#Eg5q$z9sHe59Xsa_YnKD46pq_yU;CCJ#s<aL>YGio|7a+V7F{ zr)C&I958#dYFo>(A~I?pxmj?TyZ6s6n)uJGqA%^AibgmDZ@ zyzf0W$wrHR3?Q1a30^1p8Sfr?VJ0F&{W^|GgBFYI?U2_q*2x@wc+X)xIsW&eXq`sx zy;4Nwv6zaeli&W!;@?|nlUnZeNN(%J0OZjfN;$~%)}f^E!H*$4w)uq!c7y%i7LM@} zQLI$;*4aE>(pEkRgsbe#G(6p!5VX6PWq;Z1v8AbwSLH^(e`H?o{d|CWE>;*7V^?dx zW3n#W!adJ(1JVansN(gk^W&V!H=^Xlt*}BgEv+p+0hoQ)b@F@BhFF^5ItxkOPHzv`Dl>A$v+7(tQVh^)4Q z(rCnf?r1Y%@r3&NW*o}a(jtVYv1z5AS6})Q0i#92 zS8wA0i=6yA%z1y?r;_&~F{z?g#UStd+vhGe)xh1_A}l%e{o~f+)_;~C-)ZdD|0^P= zHo{V)3Gg%7bF*`tr>T_L^pY@pzNLMs?V5DNltegx$$K9|gJ(<)TnO7xjgt5I;o^dH zzu?jN`|-#Z_Jx$-(6SKcX2glHuA-5yLjuyoVd2nj7vm|m*lT=DJlD!D(B;B> z^@~W8gWmD}jb#Rj2b2e!1qvb&b$nja{_WLh`U({dbN@BJatl*{1F(PGMLiU9{GxK+ z`e_>vF2rEMa&gNkyv&9_>x-EEz@z-E0?5K4YUD(npKwgBQSQS3Rd3kZtU?S2RlB*w z>EJZyg85f0s0d+*6In< z(Bu6@>!&|JZ!Jq2k9H@lpZ0(w<;1+6;)q%vn;kzy!sy{+275m{8H@7~FKdMZtz!n1Z;qM%;C`7eI@yq!G zJ52hz5@~pLr35^DMSxQfeW0lkYB#A>X}O5gE|(XV1B@Co;pDZM_(~yA^+oe#!e24L zbJnEJvuKo4^?d9q!O$hybTC;`9aJ(vK~5b_^=T>;aF5 zE!W0Fc#~cg^p`~o15*+{B%s^IR4QWij7Q8B%C2^df2~&S9KSYYGVGvZJ62cGSPn?u z;n})&sVid&mlO(YWJA&1>Ag}J)k7W;ZqPH|f;B)v7HN-;pP0#MN}_CW7dE4c-T0= zhFBX1itgge73MId;_<#~jX2+t_1g9~u2VnAkA*oU?%O|2a`H<0P%uU~bi9uEEc4S| zY>VI1;qmLerj&hLYPDtpR8xA$ zKYQLjNqLSW2pjar8c`bx7#2NxagI~Us^Jp(eAg>`k(4WT=r2CfekKgf!_P%p-BqycXff@0-tctH)+wJl;28VFbpvSErzP zsh&enrZ7v)?&;+M14I>{1me(b{J2W;;M2&pRre5%Qi!V6J&2wa@@Y+gr4nhMWVtv_ zAG#m*Ld9s~_xljQ7GaL9I*y^&RSRBX8(v0CHtY0_`;~Jt#bLB%=T;)G2wqiEa(l8< zb>iK~2iI?>)_Ta|?l;h(hOtImsrjK*t04A`(s-W0#tsi;yhdDE12+=eU{ERfYn+HE z|Hjj+hroh** zJMe>!1;Idi zR;7P_nXHWRf7QTDf?N4HIYF8!(v~O+I-i82tNDlj0=jeA-5wypIqDbpCICRks3~?i zEBjsUqRp<82JXg_{l-6uRR<;jm%cuRxL`JR#Ozcf#>S2>yQXFs%-M+P*znpsNPX^i zqHl0+@4RT$ga@H{D$^kRY+Lcm@9*|jOZ#SbW!8fS!0nll7xUhIe}APNkMflmF|tlE z1c!^IJq^6^MD1)ihHd34h6&G`J3ms;x6_;ZL{ajc9Imr0ZV_k8RSz9b_+m37@;v3b1qwIQf_zQ>V1ph zyBX)fd_*JC)9V*CP}DZ*-N1 zWJzN)u(X5cT`!ViQ(ZV#`bn6@bu+;!hf9t#ONaoLglc^bqwrT;PZ9B^DY_ce^5yu9=p;aAfs-gUYKwgw-#X?jq* z%pPmE8MmGrl%~y?zu*doGgR1UHGyDX!jwd<*48Qh8s3Y7F4nnngR$Q)fkwahrU_4J zktj|d;w$b?{n5&KK6X9%gVoZpkj_`;FUNd%Z48ZAbyE@l=r5Z+iz5+&kU>bQATU~k zijzc6(DqkDajI7zFENPTYcyrxu(G}(kVq4=UN0{|JiaP)&v*3~SRgowErA8``ELaU zues)TTdyi`+}Y>PULY$HR=wDfDhIQA-|6JHl_X^MGpFizGsWdt{vuES91#(!5K*Y< zAw0r*>&X4b;p!+ak#ap+CRU%sd-N{8{nI{xpxmygoP5)I>ewVKNv?6B9N{l5wcd!2 zmYh96w^kV~KRy>FKxLowaD%_#{=^|f2^`*$2*2310KC)E*=O!8-=2wm*7uYUJZW%8 zWEw{5bC00W$8xoPzPzj%GaYVj?gI>itnRZnGSH{E`>GRVr_Mv4mv9{hJ+7Ho)Orh? zZ!M_-*Z7jGFJI@iZqFg70Ope@?1X7iR_oP%!2r67cLm-8se4_AuGtTUwc($23I|Ah zkwYSb)NBKT$ZTQNV%$?uc5~Z9dRh9#snO;TjX%To+Hpa9y?xDBa6QqRxvp{^L9(xm81f&1slQD*;1=BQu%k@c=q_N^rrkYD6H@H76m ztA!fc%#B1-J*7Dn&`4^A-vnD{VcU1sCU{AWE^ZD?atB#0KR;6~{KlG6(K$G!ge}7@e#~14oAk#?Z9nS zWvLaCw`P(y`1xv3WGc#HYB;LDW8il zKa3P{-8|K(SgD+DwdT$_pAIjhx6Pe>sPM4BA^afm_4(F%Fw+v36>CE;!=2Tbazhtr zUt}hIzEjDJ?Ji&CU2Gk_88bv;61g~q3UO>ee3<>z=cND6K4bqR<@EY&eD&PR+$S}} zqm|o_+{S{^_d1HiZ@I8XHurvKW_NwD4dnh~0?3T*KmN^|9m&e5I|v>5 z;x}L&?mBtONNh;T!Y2RQ5O9}=SH?P3lzY8#HlIOwn`8i7Ne!SeFtCqBbM^O6k|%r9 z+6n7_X338}Zs}Ci1y6Fg45lQvGz?^qJ)R+vtAbMop}iS=o%k zMqkZZc|ZUCVyGdqFskdG42n1fLuqH5GEg0Fj0wGtS^Z-UUNZja;LOW-fM#dSR!Cic z^&bzD6xx2on3(S;Hg$t5lmmH$J}ynS;{*R`uPqKUHlSL3K~5e+xSEW!8;T zgW6tYUjO36PyPRLk?x0*(5HY=+Lu2$^UklNY$7Y%ASn>O|4De?Nb*m<+gMBfi@G0O zMAx^Tmd>_NdbIt1Q^~`sKjn>B0WcWMeaZ1sz`ycNUV?sb`Jlz_I+Ex1WQGtALZ+ zgYzZI-_E61RzFZy4D+tMTd`)$O1`@%J3(6JbuEYN|Ao)qZV=&UvYCq4VvL9T90Dl5QMaHOy4JU_RRWDbHI%h7cL z9c$5t0;I>l&>B|QzKZwhe-+-Du|s;q)#>X6n~GW7oV$vjf#zv4-qyZ^zuU)5{|_tb zh5Xs4``3{s zz0Tm~(4zh;vpBX44L!YQ+lC%0*TytPv zewn_n&mJ^FDup<#@#Oy`mLL6JPW)Lv0PFv(jr`XheDwz4K1^a(v8y9e*ZGs?WIOf& zS7=F@do@!0XH@b^h0mnw;X)sRT><9zzRC`xxXj^}B9jZ2w&NxOS{;BH*o*89jrV#H z@#`7AQbl*&my*{%Z}tVzC|L^-#A%@|y*D9Qfy^T7Gn`PEv?C;QeP}R&k)wCdb~1XO zb#e<;+1j_emdNJh;4=G>S1`g{?!?yqq~5&svN9p0b33XX4r%ykEF35$w30l84Uph) zmst*|`u)Xm8G0tNFO$))i=8$cz@cow_7<(MkRI6fb9US6MU)(KAmx;VOseF5fu*!T zbdPB@8a0rq7Ps{Co9=13D6)(d4(Gf#11|m|T#TnnKnX`usSr3~Tca1AHK+~#7Cb3c z2^Fz6Q>oikmyJF|U4&nneRIKq;jky+R(dLeMqis1IVmSFtwAMWE7e=M(xQTI@h$H5?_SH3Rmq7u%XtY5=+@wR2wH5}b@ZE`3(#HFQ}hm(M(A z!R*X&zS+HV^%k;mf5g+D2!oEkJ+Qij%G74ila~dJJ?YzhVrbNgf1jkync#K!>%ww8 zmmZ3j0}(Qo@IRP)&$y}EGhy1uHH#z6rbI#stt-Y?v&XMgD zJ9Ctv5BJ<&Z&yTc!r(B+>{7%Lm+H+Y_zYAe(KuR~{~@P3?R(2UjAjBB@+%0iYh-yd zNOASWS`d2=maHsiy{rSfT5qiHx*zK&r_2j;5#hLk^ZrB2{!&m^DDYP z>{uuKqq6xlR(H)l>K*poxpR@pt05-d8Ic*eqU9)$XWjD`v?JtL`Ub-(P0?5BtDov%;2j_yD#1M<>CR zVN{Yv_sDkdM{MByo_LgLXry&`$A^7n%Iuh~xd$r<7DJf2vvn?hdJ(ad49oVdC!%~~ z_k}yvrG0%*PA$pdvNu+v>7wTznujFVHLs-#`IR-;%Ljmy&LJ)zvpvh@pecejNO241 zKXZ<;-8)4_+Ta(8%uofuIoV)_7F#k)AtLmwswWADv5^Tc%r4nIMKRr(9@XZ7_}`rn@+2ax|a@E9}xX zJ}3C4L}&X0Y@;bJL#d4`-x};GDys^BhT#U@80Nal!u~Nt$W|uCRzb|ZbqC$DKQJ)8Z_{c7pYr(} z=l_tPR-4I)^Vo>A5%+!EA`pG1L5~P{gk;1|WD#S0tc$jg8I@I1j97zIncdNci znanf|vKNqV*zq^|(6T~eUJ_C=PKe7h)Gi6d+1C?=2Drl! z%5u;!+O!^|P0Iz2jBwR@pICA2%Pmg>))+Af3rp85&5M3E>6#RVf(h)BmggPU5yahOw z;~$am$EV>|o6grTdNvdL$s6XhsiLtxFAJoQe*cgb^#3w?9v*yE6?2rVH# zR2TO8)4Yuh?3DNC6#TZfTR}7ih5zi$gTsb?dFHS9!Aj}A9x9VVDW`Ijw$@@S(B?0f zC0uNOwPvO!S-Ic%Q>~trsz>3JPd;|EbaGcQm+vxziVjr`i+mB~kKS4i-p4~1OVmmW zD&6dHWFw?zMvYUb$M(HiIVon&=yj|}d+rP5U&52MI`OpEH-__i^x{Ikci(Xlc<| z4`0Q1LkTw=y8UKgdbA*hbJ*+(8ctpCNAIxpy3Kj%R7*!}Cd`d(tQsfuYP1)e$vg*fWN^rL?L40WyLajf2sF8GxE#`xZ$!%LAk|8iR6y(sLqkNjrAj_zQnKZh9lc4Y9h%@ zIOxR8ccY|CU6!Qgomhc2H`;7lMJ4${9)I^bM!E6blQ0p8MM`|n33$`r*KOjmX$c!i z;R}}19+DN7-uhab2lhAB(RN(PMN*HC^fmTKdHNn;&dEapSH6A}& z@?0(=X$AIj4(1?`(~8pT^E8CHzEd+Rg`sC%90~1a;#bMM?I3xo@|S@Gc}iyW!Ow8h z(&Q{#hJ{0vo}puQQ=A>o^TC&O4arwFOu9g>u6I@&6nt!m$P^dfT&u_XBDIkcppmLY znET=z5zA_UQ^(jV?2H?_jG1b3zS_)96?%ojS=FzLp(3D~ilp{QPl&Y*kJ4qr!DT_| zB)4Js{@WKWsK@KmFGDZ$U*K(eYUf@!1+m=nFi=p8G1fNJ8G|^J3TUV5{H40OkP}#H z2ySPpX%D70A9f7I?$}t_fb0Lt{>+(!XByCJL zq0+~|<_Xsc>!F{iT9Z5NJqt_A(AL_DnckA*mWX(eeaaj?ddWAMRIR{X87ml48#}b; z23)Mvj(*6mVPun~Zh60NrJk^tdv^LlZFFlub+W}>EuKdC;ejebgiLIj z42$Lo3pN_I9NglrCSdw4zy_eCTxFc4pQFI_tCga8+{OK3Bz<)A)48>EP?4n=ngAdO zSUZN<;+(C6=A}FFyUf;0wHnJ`rrLEgy_Y;E-Q`_YLEUlV(V>PNpEQ-R}{043h}zF^tBq8{Fsb5&ll}kYF;h-v#G5Zo+Es3*n2P=?Qkl>L(M zeqQZfKdZN%x|*D~WH4%RuF-aZ2=OZSrm{{(pywr}E)5Mex}0N+|o z*J@MIs&bHOHA3XTq!N4(<;FJ4AT{X%fwZQ(a|)b-4{P+LTt-V+k?Vx_XAFoUj9AzH zsuMR8{8z3^KYv=li{R!2WCKs6!8=tdaz$Wv2L%fU5wnlWx{T&-1T-J@rl>r5POoej$xI}bF@J8tQT5o7|&pCVAAN1m z!E=Jet}7;TIC5Jv;br9VOp25pv%%^+#2qjXG>UxiSZF#}lK%~4MA8xl13*{GrO|HRc(gMzM+Y_khV(#F>~3P#S!$Z1ns)wKU?I(6eTy6b) zf9vQF$|#nvFN(`LbY7X#a?v+BGGMr%u&b)U#v2{j82--XE@HmkrrAqz@ePw2Af4OPPISGc2jbE+5vJo8<5-S*Z#V^THz(u$=R(-7VLc4U_ zZ1eqxs4E*Y5~rD9oAkO>{kd{cshkU32Vb7I>^DkpbV~T9TsEl1t0>#=E_L^TWr)Sl z*T0hR5>tueB4e=qcve8Q-m)0);!J7^UddJFsR^{aKei}`D{GjhLKOGk74{DRhZ9-O zjwWV2vYSL;uU-V`iBLU;`@UKsEK$dQq%|0W41{ z6t@=-I_5=4TXVI+GC~?#x(Rd=-KdOO8x2Vf6yExHS4O9OK7t>#R$kJNrDFK)4g>^Hf?TT2?n~BLAgRYs>x(3;VbG;UU+DUDVcADlS z>uCCb0@k~s3XpFJqQfp^G)f<6bnQxBOOOaz`))N;*RVpv_0~xgCR7O_`qxQZ$!p6S zMFiud)7@>?)}s8~hEqoB?NjFcr|QM}&7ESY!q-Ed?|e>qjq_VJMfVY{$xsW5`+W-*_<(N_TWq)AabJ*46z~1 zl2Gc<*PN{cN`9F0>OudKf51aS^Yg0;`+L0iP|-UsX?UN}A-u(@xeD;ZzSOoN9~W$Drnu>RDPhuI_cW4yx7MjV6!Zrt@frI3>ql z5+qNc(~`LF^2fn!*~P@deyQ=x+Xov`8;zj$GDN0Xk9h4;F^n*KhU|1m55BJ|(|idg zm%L5^_XAM9m&fI`S*{YlA2EOW8KOB1ywmP>h^7t24eIM#vjowQVwm_ZtnA|#bmen@sb8OhpZ~vM(=50s91{bgDtw%g@K`9($SlP`U&t*nx{{yJ>%S&OxU zS|p1&c_C_3KCEsoW5o3f4E8w$RSOru2D#?uA>Te<3a@EYDWmJW`lT#LH%Mh!p4p}1 zSb%azL~6gNu)=ci><mx}G0t1fP6XeeuFV8OLDwk%*W#D;};hZsB`5_vx?eC)6T zGP+B`8=frpv+!jHv(`aVbHY;3fJntK<(HrUA||X)z*I=O-^;ehsFO4P4>Y-2^JRLN zE62a|gqa1+eCS_D)$@N9QvL1!L-O-KDdMO&tYn_Wre1N4030^V@`@P?vMl~CVPKj4 zGJT*qbYn3GbokQSt*<(REP?xD1o={vH_OCO_@T6Q)75q<7I4dNNl5wC^dSeWy!+1w zS*n{mEbU99O{>ljOZSrID0lp-JcSR%q~?bbsPILyjCTCW6_!Hh@Z`Ti-UZ%4Ou21w zxD>*glRDA!YAgwK;|JF>ju{5IufTdsEV}jwr{IqglR*F+kjXEUr>=yoG_ZWjzh!Bi zJUojBhgrh8zI2*AzCOhvPSAoRgtLo=Tl&Bz8=kqgR!PiC*4(cWPm3R{4=nGCjqVa6 zZmHb(kFk+FE(OhEJZ86xh?!~!puAuG{K!|kw5q|#lT)M2ybMUiS<}M{{l=_8K${5E zAfR2O+aRDr1SJuplyonRE2qYU1)~3g_y;fl%P>^3CW}atVKb}6roYrfH~6lE*`>}d z$#(>Jjt>q7L_PS`&9wnU;16INqV?jdjws!i_yZIVWfru65co0O3wyKL+OcAc4X+M* zpKiU%%UqvI9n)SVfbaQZQ9i`oy_wu{-NQLy$tTF15!`5(>f*O+3yS+OB0r3|?#=%A zzA}-UOTog4$(|0wr%f|%{-3}PY&&Gyoff_ytvzR>G!T|bg|PpUbC@?i9!RxpdEzu& zsI48f&d~JVPezocOavbQfF;FBpXuwNj*ZA-gSOfCMO=&UXwX$5eIQ^fX$UBI-hq;} zMgXZ^d2Pf8UYmgXvEzKor!?k<_P+>sC#T^IfM*PmmHlF}-4pwD> zSEjL)=3U>Q<*_Sj!7FE3cl=ns?BhNOsj=-4xnSt2?kl8?B~Piy&mm{NPo1x~Vcq_r ze$OZyF_O4oQ??&AjZt71=gy5L4~M?Bzy-+^SE^2WtWjs)T*EJpE@u~l=`PHlghJGn zyV^S@rtXZL6+1jWfAdLN20pUdz4HuL!M>mW@G}JB^s#v!zcNIwX$C+^W*)TqZkLQg zC6NktuWF(TU}KSDbKq8s%)W2a%Ta=Q*YjF4mAeYoly%n>Gd0n?m?l2zP*m5~{i!GW zb0wRqQrqDNYpbKO%5#86jk*X|skX!FZy$-{XQMR_`n^4}|4h>R(xPzU#h@#P=Iluy zM}An;DwvBqtqK8!6!I%OQ=$21GJ(dxRPo_p{%FHY*v{2Z#$c72J;*C)cp$NjLr_2+ z`bK?5w2gA+#WC;m`SQ%!FiYl?nkKeoNghWVN4V<@xW+Q5v)+-eVaoormA5=0$b;(c=>G^Mzsl>`_%ua?jF|KLCQQW%jAV z94BTP&Aa)PF=32C=ZA)8VAheK7ohQt@Ou05AeHEcAE@%P!zts(%oBXjdPhd5cM$Ld zE#gqt=G_k)<-SQI7MJi>Vb>{R%{1G$K6v#Q?_71Xn^Gb}yIXt>w3xA*LTG+!Cr!=g zae)dHoV+HXoR|-{m)D%X@7n2B)6m9pYn2fc;P&e(y=`{LoDLO5Ifmi#cS=$ed|f%j zxvST5!2D6_YdGfwO9}Z%X0Zd}S}Rz2;<7$G);Y1=vxo+;>0*N5>5EiIvIUd|-%Sy@Ve8J^h2n$-ZCq2z zc{>EU>1!MtkIl$?sZ?f=jxBwDej|-LB<}p1Le!UCl-TROkX8%u#5YBQNF~jF`dU}$ zR~f&)_H4i@aDK6YTQXIi;^2-PWTBnPei~W~dK|VTT}Qf8GwQS0oaZ*k0CW(Z$e_Dy zJVr)h63N>dDpBh%=q~Mh;JyT{c#G(0ivva+rf~;ORpamX-Dgh_cCB^6G#w30AkIG2 z%bhq`hVX>v3%}qu)hfsJ`HUnTGoHQF$Yjm1_tk$(Ybq~3pIQ0X28bcp%QI|VAp)S) zkh_xK=kCqq7CeA^)h!UK=yRXco>=B>Z`&QEN)+8Glqvt92&I9lb{Ny~$juI9Ry3W; zYZC}t3p_D`%LDw3^*(c6xx|u4iTc>42yM^pb`uLTwZ`0-4|FJ8I*cKiuOfJ_NIGQ>gKZNwc;h*Ji zCr&EaD!21+h+FWUv`;QyD+Ke^@ae8Ohy+C}y;Gr9A)IYl41;9WIjB*nBm=+NzKA@! zT>l3*bbm*MO4yjbC?U%n$KVSb4*p&Xy8`dNuRj70T#V{;67^N_GO?=*?y$$Uet%~st!UwvxI}@b;2gP7X|5nvfKN8s;t6bPA z!=P7%0|Z7;*dgJ3VdloZh1Z(jmb-A@ZcH>!`9WmRuvNO|gtTV(%`=wh=0{1nD5*Ik z#a2if|R$}2!l*-e}qEzqsm#&}wZs`U!sS$5NjJ;8=bjB7vfyr;C@ z$-CK*fS7IcS~FCVjBMZ56pCELs(ejiSy`^Cz2Wcw0!XE~zt($7yFK@|p`NC!;uk)5 z0)rer3fB88TZ=d*mUaiFDBC|Au5{US7&qZwSTisGu-N+Zt8g+vZHG@KO;ht z|CVdYS8?ojs9v+$WTaG!pL_vdcCOzlFA)napp4oqmKntKU9v$ZIpaG0LN!#>sWTjV z2-NW^r5OfF}o!SzBaHgpbE$DbDvz_uq}$QfG8G zRkfmMX^htRzTl8Jo$fR?iM07-U`FNl+De-5nRarap@hpwp?xy2u{iN4wD%=3^-1mR zD~}TtWMh_P5Z{&u-UbS+7jrv1rfklsv7muLY+Z6`YZr3#In})OjRTYl4&Ch9kj0M= zUzf-Eg4hsTBU9}ce~XY1Wn4RVSF{k~H&f6Qm_o;^GgJ9f3OCJ_&ibZsPB;1vP1;^p z)^t;_+^@fPFB5$7H!%hc?EP0J2X?%MyS z>h~;(R@x6Ai`AQ*9M+JtdE^tCTflr>KMR-ZZa20Cht<3-YPzAcp7>$3`{Me2Z#eNw ztg;sSkk`)`U!v{fd%5Eh)Mu_^q9KQ5PU4O`;bX7bY_Dv+b=MqeHEcs~JNvXv4KP%o zAepqnp9#&Zk;&fGVA!uizX_s;VG*FONe(<6h>}k-Y16JrQU-Z}N0nV|HFEw0{0z!q zBt5h;aO~Ue94pF_?@l{;Gr6LX&F*xrw`DoZ3xf}P% zAo!<0*S$TusurP(bDk`g8l4c(%FcXUqUl`y->8ZG%;NDC%t|P=e!-tmhsS3{YiifF z10siaCHK?wrpNI~LCk?6V|`Titk?7U=|I5jNQM;-Ns<|!mNV?qniW^tp`~pZrNM;K zlqz2_J$qKURv<$;;AVe2wk=d{lQX0hF>MY-R#^J>A2dEAl)jKJE;;JEC*+QSW=V!h zcH3Q71O2REb?nRJlH_JpYt*=Ad&hw_EAIa#!3}P`UO&?8cJl&y!Fa=3>(X*l*ufLH z3w}6Ax!ljTi}ZdsygUfVsA-W7bmgK1>mx6Kd*H)nR_HE-`-WcE?V9nN`Y<)yFjGXe zaZ<8swh8>*3m2kdfG#PQI_2s=cof)I42?W1pAkUsU7^7?%v=pHF*TzdwEpmje#XAY zHYVXuD+&k9d;qH!q^bA1LC!P#Csutn}l(- zb}kP-N?T(@W8wArLR0Hz!DG1F=iK5H~j@sc~pviw9tSDbMAJ@oibzk#GC7-Y6q zQ3isw^=ifJ(9zPZgQy(y8qb8eChLZ4$n0qILMKH?1S``;T4#kFC7Ge8Ym9$t&uTP& z6v$P{)r*g;kk2p<2{G;%4*yjkIq=2+!+U?RptCW|X!p;g8}|?k#>LWyZ~7 zcQ8q{o&>cGlnf&AYvUy5Beg4R)^(#DVV|N(9k(#^J)gUU6}ezro2-5t=RN7wTa4jK z@u!qrax2b}#g#Vb2!szdZ+tt-%HY&)PLnp;AJ6q2;Y#_irSnOwHXg^aUS;KJ(P9we z7#`>?>{_hTDBS+&0?Yo^C+HXg$Z2%zqwQPO4Z<53K(&l`e>iKyWZQj{?@YN5(;ORW z=JO;|9raM(8g74GZLc8UA(=R2o}HYmt&!2?eis>$ZmZm&N@ZTXTL_92Fe#7!z7;A$ z&CB_x5mmQ~IwD^v6Nn@gmQTQbq9>Mbt~^_+I?IY94@)}!2N*!z0vykfYL11;_3UWx z1?QzY++c+^4t*AZ-HA-~^&*wG2H}!^jFR&jYxUozg6F=aL$ii0zfYbs*_vkf?=wKo z37eKltAK)dBL^FKHC_V=_<7#TO83zp4&)enjP>1}nVPqT>21b_)|=)UDyt1G#70GY zy9FI6U=kpR2$N-;Blb=*WrRVB6FceEiwEAJX@Bw)`;)GS_pAAVp4diBF4UXNs3}^x zK;80toH;d=g*1F(uq{7$3*rYVeqz?`4w1!M*zx$kr!fV!5AJ?QLU{ym>LmaG1Wx|>Dj27|LlY{Nwa<#p3uLS27oJo~dn?lc0ATPV7_GK`$EiOWx0J^rhD`o$lz*&eag3eBxvz- z@lG;i1@2Gx4o}>l18sbAn2!f)SM$g6a*XB3L4WiHnY(79PwbNZF$4h?36igWruY*L=l(a!4>GZ{HuV?QWh3dHR? zSNwz0*het_w!Hu?Z%xf1Jm$WQgxCLfQbS`M zpk97?5c!L-cngD7*L^1e{DicpBcE*AHs&goxc*~H{W>GIbMfDkea`v+Un71Y%u7#L zaAEI%$Ju-w?oZYJCsCuz(zq|(b2)@hpDqsO<9<|zvee!r+fmsnUK#zAe`yY>pUCci zp*fnZKs{M<(Qe_t(0mWTe~QAtujyULWu3)oRIr;w_|n~DwI)3>6I_+=JAWBnV8C$xc*YNL#|mB%X!k< zP}Z~k_5eSYP#LTU2LF`sKeWsCPT-Xq^woQk{bv>pfB1Eu?XR?&Ut6-@ufN8E5uR{qJ5Eej^NcPSwUFz4~(|rVDOANft&E7ZesP2{)oEU7+bj-AD&iM&)j4=>ktglX zr(`P@aYC48N%+05cr<|3e{w9X&-8Av#xF~yJus2Ef8l2pMcpRo7r~J6!btG%9|YT; zU(?0C5GX6@8uWf*HS!k5;u}f=ShWw`dn?tUtNDs}NLaoL4w7*j1(k{$A**{F)_*+Z zvEN#Z^<-AWno!Jpn@Q$~4>r-Kt0B$SN_CPJ!LGS|FKOFQZlWox(C-lwwK(Ok^Y8F7 zyF2%vrBroM=}gW`*DlDM8RDq!{k!H2=}6eqR*RB9Kwk*J%jPd18ZKX+QQ}Bw$Za?m zqBtv2mXhQfc3X1(SQ!_fR<LWV!?GT`g@k`#?H- zTrv5csfW?^>wm7Q3mZ2`h#$Xp*w?I)eEP;cKrIcEjUD+46h#=AJE|7Fd8cY3uUpEu z$8$K+tj8MxSsf!^Lqxj`%1)n@FuVZBkS0Y|R{fgWtT&`0z6OiJPd*MEkSnTpk~2Ou zl=<=b8!eBCzzLOK3kBB@L#-LnpNlVGO21% zpW76jm-QBBf3e~|+c>d|f>gYY`7d8xV!~sd6R)4hY5R*IW1UT8rs9MI@-y_jV9PIG zQPz|9npp3Y+a!Ja06Y9f*5i$$q^f`CBkS<}?#+Mej95n(ul-vt{p0;2NB=bxU>!Uy zx%ls#WgY!<_F7bTH^R<1tDr!LwIU1cWG(KsxYwpYpY)c?cc762c3c}9 z+B@F{fOE%c5#1R@GUcsYdsJo#g+92lrhVUJi99yBMtCMLKUaJK2rAhE<}Z$yfpECD zRgGgGx6H(mxr@HWO(BBSS20vw^&r3k7i>AV5xk})U-uZMY%1yFVbO!XQstcyfH7aG z+;7B^zu_#`a2`Z-1gEum*&K;56~QSzk9trP+UlzXQ}VVTZ}+I7NBQuy1C_4=c?a+J1y0!+5;L%Fu}TuRlyo+=0RTuubCq=B3;|KbTi-C|LW~TcNC+-7AJm? z?3*XsGk2ytWu#yd<>fHW&4dikoe@q$nqfiqe0+R4D*iDL!rn%<7J zFbvRvXew>ZrBYYZ{%@R+^1;ai!3kH=Czsy+W2Qj#UT)XDAzqHNCpa3n@m?x3(%ovo z4cm1iExE@O6UkfAk+$uOhI>c3&U!2znUu47Bc`|9cv7ts7*kasIf|x}*P2JY{~{Zr zHC4~NreYWA>>O9?F=XsKa;Am+l)EkITD}*E^0e6(TLLQM>bQUbWnA^QKbfMo?c2bJ zaAM?+wrg}Mk5ImDhilRoukGAaAPCF7?6!Ck)?qKWW?wHyd=U5%bp2zF1GeP#v$mm^ zU%58nDYL>Kv;u_?6U-Oesz0ur-_EDpZ)tI*j$6}U8WEtY$wE;!z~R0FtRLjikfHxVhzl5Xl)X!H-bL>M$sV*=zeXk%`x!gIY3!^m}Ael zJ#PAP$UWM6ajw~ZmvI!ZU3p-o(Y(`ct8BXyBaM5)ix$1#K{i~}%zn}n>FW=A&6f6w zgf7xiw_ZirtSJ|okYz&b7tFx@0zC9FwG>Q&iAi!8wyf=i)VBN!{w0tS)UqAfYGu$T z2b`@?N(U^ws>Dh@7@bWp!*3^acGyaqfqPF2HCHO#F39#_iG5!jpt<^1KMQXgyd8D;}gHQjg3D6J@Wbs;P*zqaJHD>QM?iiCp{(;zHCW_w%q2KL`sm4*fP|;nEfC(M;FBkg})>&-={xs|L$4d++QyX6DM^DZ+h3i-i6px?^pm~&?j^mfON<{xb3iboV# zBQvo+mvWkY9_US;R&-F9yp;;Yr+YD1j!$+GHH1>5W^>D0X**syR-K_Y3{Q7!?WHJJ zePF<%x-ziK!^bn<>=4Ce3ZTQ5)#+@c#uU=l=8irL#z;462VIOVj~wmKPAZPpj9Y3U z#4I5O&G^vvg*jY47Rwp2!c`zNEHdcD;Jk`ZM;9Z3tY!|kO3|`{2Fh~q&7>@>;+~@M zRiN-RaW0rD-6`K8ZIUqf`N^O`q2ZuunILcesH(iL`&q3*?qO8tCH)6-Q?0GmxC03g zQX}Z z@iuh-Z+%{ZCtn5^FW9Gywsz*4Hf@wwML_KY*N7jY>+b~5)&#P*PSROB>4vcqOFr&C zap9YAH7a?MY08gDk0Ix($l9LFEZ@KMOf3pzX{ee2p7mq%dVN{S+}@nRDS99=R|t)N z{~59*PyT1*`0nsOurj$ZYgkOEREB1NPmS*<^IGf8(e9QMBoSl?YZ!`%Nq|_X+XTD% zKJa?It!VZZy>g;4MZKhM4n5v?sb@CB^G+Zv{<%}}@uLQ&suGV?X1*WH<7Zgzrw|w` zoIum^rMX_e%HGj->Fzf@li49K^cf<1{if?Q-~R3grK?YbdM1cJuQbQulN^%Bjx<&j zfCY)R)eD$jcnNk2uVDt3-e*54PCd8vIvE-TXbaJZgn2oixCn7M#-$atn>+z1q?ttY zi%Yd4r+Gyc9~pGD+Jj{HfW(t75Gu+qxarKLfvOEag8^y-db;-pnu88X8lG&?!HlzclMI&T}BUyY0|V zM}0=+lJd6r22Vu3w!enH)i@e$i!k~V-;$-JV-NLTthI^t?VgO7e+kOm9OtT!(xoXr zx*}t>^AuEf(rXJ>{Jqeus<$iJdSb7hMxxtOEXuq66kT3AksBNRyZ~T%sO$DeXCDq* zVm_*Ru|4ptz_+&9mzi5?KIE*Z*_AI*FdK_mVwpj?sTC>GK{N*gIQ?ZgDz?7|wq8Up zK2HqwhGItOqNmu8_Y!z!3o&goPJ6n4+(icwqkyXKyz0$gN1Dr1Yz2fow*B>)jx*Nh z)jG%mpuR|Wo^RmnOl?XIgz}PKr)zdq)v(Z{puLhtMDH|i&0qO&O3olG1;N6QAA$JH zFL}!Nx<1xcvo_48-``Ri&mR9iSjc~frzAFge*ZnGdv4y(Q5F3{|3zJccG|;_#NrMC zDNljI-%Ef#;q4=pS(Yu%^^d^km$%JkEL-kPTXjCW+n;}OHJ%-BtD9bEL)0uQ$H)YT z^NOJ`gJx?Q-eT69(J`h;3YHP&63RHfku6&t7s`XW%=t-mU8FI+$D~u?9{-3^70U=y zZyeN@;yJ($$2}ZR7b@6SU0imMaaQr2DY=ojQ5!;0D>A31PtJQ%zng8A@4P&CGFK!T z@t2(yv02*EE?vu|^#tRSm3Bx`SnRv^*LVCLyf#1ha;%NwMzVb*9|Wk~FAff@etze1 z!Jc<~S!>`Wcyo?LNY%0`@z|#Lz7Ta_K)g`_$+@f(w%c*^t42}zABFEKsbG?*pcd}p zyZhQ54nG&FwUcVC5h+GFTY28qnQRNC!p;ZmhBn(iOLm3t0C|4^qz=}+kcx9I-PrQz z{ow<_kDb02tyV^q(Jlv85Y6dVsEA==`9|bGZ_vJzR+|HyzPu8)F1!>G zYD?N*pRInr?~3ivzr&@fPU9+g*kn>2lM4r&{u_;YMFhy6b+a6ey^e(Z-K3*KVm_kj z-+o`%_<4_Mf2%vb#FQEjgR$`=S{wWCHkhJ(29b`D{Pb z;g!6*t>baVTafhQt0SQzZ=(ehHo@3=x_k!XJ$+O?@~;~*pp4*R?k-@?m(F%8F%t zREda+U6N1Nl3 zSS6L=gBtTrC!V`1_V@b0NH(Q5e^fV4f9zIh8}B=3x@~ADuh3Dg{e`@LWKNZAK>|W< zHGYoxl-=lm9tO8!26H&Qb`Hi>S5)=!txO7T2Vd-@npqbX3b?CGeWJ=vV%+XoWiL1# zA#%%!m7Z2bksZPR^o+Ev8MjU@Z0F^L@b4A6AG&cmUZ-;$2M`*5ji}pmFRcSC{h7)g zhc3-K(V!Um4L>^6IQ#_y7o^Hxte0I<4Q;{*q&$`CRd{yC($m5K6s{ zDtpQ~S;@Jwx_6kx4|xEYfPqBz_U{wX^@cI?Q)Q`&+CufTFK0%(>(^)8voY#Nqzeu* zLzX-5l6Ty%DU0c-O;qeitM-V9YZ_o)aVY0u0}WOclZn{K?;I)v6~MSX_CAyv+?Xw4 zHEqiMh#4HX!>Pp21a5gOE?I}VGkbCgJznwGHcwFZ$Uq1_QTpM7# z_T}UjXh8cE+GO(?emgZ0@}#xf)|f&jr(R`kW;c<_VQDgwHRrZ-wvOD7J3ToqWuNQq^^^Sz$lTuPozp53D}CdX%OUbA1!G zTpUZoERt|RcJfnsxf=q?iUz7X+C@n+6COmIS=Hi)>5(v7FVi0Nwe>iM;S(bX&5JS5 zT<%JOqP}c@o`1TqhO_J)b638Pv8BT4&vT3f-b8=@gNIkTVP>+TOcV}vW9{b4G=||t z8H|cY7Bsi7fQx$0Ox!`~4kJOTDs1DaAev*~I!JfxG^TS+%?3KCY(2412>DxHw+iN0 zSm!adFZn3@ng3&)=ftriugD+tcOH3hNFW-!}GQ zdqq{M>L4uiic@r6*P2bK7Z>tE@cGHmrs{Xi_SVhsIkacDMwh#E>eY0{I4}Oa9;DLK z#@YL4X4ziDfYyNIoQL8^E3PGWiQJA$R>X==wUUC_@lJ<=$Ex?WCa+ORn>P*$Nm~{SJ4M;8FRn?M*Q8N`he;vU?_2dVho#HGd#+JN%4N3N zb9^(CxY{(cS;a4u%uK9BFmMI?&S%D&XxjXkC>7h@F#0IMZW%aV9drNl_YJ4~8hNlE zdM`C{Zqgw;R<~g0$&i5R9UOTEPHBlOi?77DcrjO1C+~2=`7D@5CWNgK>+#tnucU3& z*o_t>)b}BB{*f9n&;eXfx@yy~&n8(1fU^hcKKdY^bC0nPLgz<0F}ttS3a%bfPd@M<@(<*MCLp?pper_7m&144?~PQm_E zn*~dK<&CM9>EgqpFb8E`J6uccY6e!yZPn$dZ+SHDW?_>_Ztcl;9~cq&SA}Ztc(Z_v z()$wInSiAuZ_L7tF1o)yZg299ZJHWyRxepp1nsm3n@M%$uvz8Oupn+1MLn_W$DX7&WP%3a}zcRxpO%?@IB&&^U_^Y>lwtr zHT2-SKl@~#5SH1ywTxiPi(d|YF(Ml${>%`4DEg&eOmihujAtF8 z7A1&X9X`FabxU&(dpbfIvT0S_Sj@JH&8`%r>V5BD2qHnU> zstxqc=F&`u-4(7jA6SOtq<#&8UUMhdY$<%xrZbSr;~OH;QbwqD)N>SSRX|EfqHoDR zUZP!|*>lKO{cq2?E*ox8Ae^6K|BZ(d#$|HSKueamx#y7(p zU+6pdOo%;OaDbpb>i~#T6jF4w?vw712w=s)O4GYY3*27e-1~_(cOgZLGg67HuI=hk zh%`a)**Ce7vtwJY4w=DgYK*taDw83Wyx(zP#mPZwt~oJ-uvfJ02URadsy!&&dj)7k zRiD=p9KsKk-0e#B18(7{b-Z1xru@gMg&J#6bUC1rE)}OHk8%l%nu<&-6%TwJ#$hg! z6DaeD2hEMVj=gARxW>j`Suqw18MZQACA+)KH{DLWd9%P!y!s5IQ2A01+XH5CSJC zxZV5R?>paoXTCY-%$)UunKeA?$?E04?(2SJ3k9bf!N5z5U@LFyGjrh3)pcR`l$BL#Ht^$xja+)=BT>vrD@;v;Y#z)^> znwmF|GPhc&x!s3Nw%OaPggVBjmSNw^6qNfcKR;#Kz(59$t8k#i~syRDi`}w%Lx0Uqf^%hkzGNN)x3V!Rh%_D%pTg?GLP(2Z7~7w{pIdb{@rQjP&S` z?AX>;mh^lca}^ZwF$v&Tyx^?cl&8YgjZAhq9Vr@GF04yuXi910 zzG&c!0vGyWj}gjdqj$R`a+pP&GKrt4w9RXC)My{aNK2lxFYBh`>OG)DOr{3pqP2p> zeewF+^|Ccn3hTC3NqzCa3X!O#uaWllFmhwvUyZ}_iag&h{R` z&HM)r+uq!rzXBs=a)Gf&w)c8zA^Z4}+=R}<;4w%9vf_Hc>{l{lfKAZB)tf3K?_ z(@W=U9&$;QPFfTVaP^%Mzw-G;ntp24ZrvgmnxhJ$ZPK9G<%S`7qtS8AtB@vs(Y~ z@FL`ni;K(Z$O8Qdt|Pt%+#+wORMkw*|I+QqoRAlE{?3g?gKJjTloeIaza01tHrDDr zW|)h~J@i#gxQ^mr$VPJ4$_0%&g-1bam;OQ+50U})HtqEYpm+M9Br|zV_2hpz zJO9f#^WXm16Gd%p?Rz&v^~i^zFF5wpPydVjyZ3nw0e~7fcTR3@om;lGnp!kGA@mL< z?-9!N+4jVTvA^x(J5Ek{u3vW{eZ66@ym~XY8q2@ipnR6$pvk!%Gph$>V zA$R+8Y6M->dE@lv(7hX{9>wLRkxa{)Uzo-~BS zO-ls&%)zpU6b@^oUg&%iY6>8|bE>m9%j@g!U->MYbQAOBF(}uk?QsPD(vLHl@<>wy zax~qO0)*M=cNoWWQ2reKV6TV!uWWoI<++|HfytpW96S zd!d(nfBkbKZMOdk;s5Pf`?pJEFIi!78gfNLTRXO{u5M<1(;(QdFufBK0H!1;DHg)T z)W%+A86#&PQQyCVLpEmMt4Gk&*6O{9{bLlQ&G0@#n1eroBRBtBz@jT)U4aI>sv85B z>)V2Bt-16gv0geTQ_T z;s;qOl{0fxgr6vN?{OeY%=Q5meU+~BZl(gLZ_7!A7|9m_HMO^EgaPWI8e+!Ygdm5z zcb&g{c&c{ijyL$cq=6B>=}~O&1GVWb0n={N?s<4@4m&RJX=upUSAnkpoy3w$v1hOx zI^(7oudR#x<~JU^vnG0rvU((1r%9QHm^h7fK4fmjZ^_F+EW=ITKA<>R`7Od#6h2A; zikE|D^oIcQms;sO#wS-jSvn(otY}Fgo>)hZv4BQOo|bs6DkMO`T->uyuAic**dEJ` zu@WbQV83llNMQ30V7p(ZKxBh4mab`@|8*2W^IU(p=#?=F-J~9v%}ZdG&~Cmh)7Jju zPNC!f5MjslHSkMSW`9I_!X`tNs~U!a9vd4n`x4vhNhya z=(ol#6CQ=`UB-{cI)r^#X!ws~5Z1aE&uD&VyV>&TtSESHnFsqHfEb{IC#V@#R#26;cWCF3S;ht+0 z7S68^SuSB1o>0g7o<0k z-B9cGz*FST&__=oR^j>iul4K*pSU2+*a`V-vVf7{RQD!PCkG4*i-F!~?nVw7yo>Xl zprwKXU1jT3qyZc{{ZWiFBBR`zy<;%K!n+nDw^f4>0d;KZbKW+$jom6E%wx6~SL9H^ z^A1TfSQvu6ZH29^pDNqroN3x!9_U5I_^UtJ`YxnRqfs;nR*l?w;y65NnaFI2`x;x- zJt@7L37u*wln99x3k4u6<$KumQ8xl__umIPTF7K8j@Gyl${f?Gw-gp#+DbmOR!KV8VA(TJKvLXW8`k+r99X)#MmTN3< zZVaBrGraXgs@l`YqsSiv`5w`>>ejCwyBkAesfK?2<)nuNL!USMR&nfEl$og!cGFkr zD!hTlZK}Qds=!iwL2d(HHCCV|9XrmsZPsOU=PNE^Q}oEz?($HJ#CUg5Em}x=IcxzD zaP!@!Dn;O=0{GbDYV<j|OE7Iq2*F)x@?XY=O|B?L9WoZOiJW7~96kbmtDMCDE zoN@^v??dGG%QG;slgYR8WO%WOb+UIH`|dmafG3h~l#YQqOeIfh{=nc);EcXE_fXWq z9@Z&F6c5`@#OdSO+T!!ur^6RkMba%?2auK?gKClNZLxGG5jBcj-G~Ckh_B7HemAd# zlXBbA^NrTI0On6}J;-N^{|6ceDzZ_G+CiNy1a=3>TqaeEYx=HZQ8y}r*X}3ZQlxpd z8<@?!>}@sg)|#f}ocsfPvtQs_>b3#my%FgFv9iP$n$bNN?F&o0T1sSu?msjg?af^y%TGszz zHt6SI9&ToS#Qt4f#1}qa4FXUTHNWEnu<8t(K-185=g&A0L!Tqy{rfKrG@Q7VW@=K9H+o+VnHk@uIal(_!El1kexl2lf4^nV3 zU~80yM>9l2#|50XUKj0v<8hGtnGb&GLgp>r-%+!f?s)|=^J&?VH*Wh-njsvn>$UKG zsV3L0rOCL6JNHnZRKR;T6BUlhSHbWR9T6j!R*$Y~!Ga{SZ=JZpP?*?v`yeuDmbU2G z3`UI4JQBz>>$cXx_u&eKd`}>Ej+B)0_Fex0noobC+8rWJ!{NOT{}>G!l{NE5n64E} znK+{y^W*~adecV*fs3+jY0K_0=tkgRE>OPEC@v^$>99xWyOkPi8EBPlPWpB7b^3s6 zep9%lv_=AC9D#nrRV>99i5U#O7u#>eue0d3x)!Eel-TyH>Pzm|R$FcCNUr6|pj+Pc zK7G%tmFtgH;#00~PC^HZC2z^BCG$&ofkox$gvHE5iJ@>{GQx>+rF5sZM1GD``TC&h^WW zQjOiituU@pzC(k2<4nmu)#m7&plUVb8M>p6o#7-vs5{bxY** z_w$khZfKRxL13W$CmQb1Z3nMehxP7~ZcnW;wZoup?nYoJQ&fwk(O}4=(`-@WQhRPq zEMYV;0zdHRQI;g8!>O%K%=6R!TiperTSwZ(cLG8hB4$l!_u|_-8fv;jq49~?Trtxk z_ctJ#Ug)%PGy}wB*?>#A4hRxsxULsq=WLxK}x$j$KO2=5}U&p@z6Qa<5vK+No15d6hRz zL*22Kl#uMG{9uJQeFt|jaynP@B-P`sf2F)sqr+Lb$FG>cp@EjAw*-LAKJ?qKD#DhP z)=xhar6s)W1>U>@!1ms$NRKOd`Tbg5s>+7J=k!!5YnZ2mVnxiAVQyshdrXElvc48nzAvx|AHRiap4 zcMTMq-wJ0m3QnMxIx=QYWCqT&wE@W;N}{Sr^)Fq|5g<+9_o;5turp- zwt|*uf|6@FDib)U9|E=J#-ofTV8?i(~ zlsYX!RXp0VN{MjasPdfj_b4uGk2*)gJ%qK*QAUTSWE#rZtL)fvSDRVo}2|*YO%}Zl-`#7 zK)|(ykSpEJe|FqS00Vf1dL5_#(AQkqJbG-rx&B4dNO%ubjFctsw`@ZT)4EtUYr|)3 z8=B_j2qy`u%yaxz%gsq`bu;{t~u5xGFTRvp<6QE=~^CjKP?-| z?;rUjCM8kqZ5x{-{=qh0Fyp#)ik#29AXRixc)x$Ajjw03@7Ms}?AY!TF{Dm*TDWmR zG=-D&ymx^vHMUmqWtdQVQbTX~PjG4e?b6|Mv@6tK17lXE-Poao09~G_GN)R7~%>#9P&84Fcy2g@#O*ftL$1)A7 znp<3BH_`NYqZhYE*dPhf`wv?irGEn&3*JQ+{724sgG(>Znp;Zvcg#r7^iH@?eYL1g z+JCi2%%jA&u&I2V;e+MyLIDD@A&o^Ta$g{RFVz|pb!~tdC(K|VoC%yku1);DGv|Oc zZj;FAZ%L9;(l3he-Rb(43oi?mElAS0$@JY#(@VTibY%WQ^R!q)-5t>o?Zwn?pkZ)A zxmW8dOGZwYF2u5m2SvJ@LX(CUj?Id~*V)0E)zY$HyoqiQQ~5n`xWI%($i1oE>Y!)R zlW;0a7+dyGor-WEzY--GEeoLAC<^J*Ns$T-`y*axr>HRkOzI zhQ=2Jnu1;%%=KDC#i4UVdQF@k} zjohM23|x^XNuh9cU6h8Q63ws_bcj8@3c^=v{qzN}sxL{q0%q7{u7rfLe27GlBC)%YIy(6PX?zPJ&Dy0EVKSw07_)m1}NKW(-x!rsvW$zev0j+*UDv} zt=i0XTq26(wOiOtp~=SWrdN5t0yDXRWz;masIkdOXT3d6?t!z5MzF?rY!XFYw+&< zr7pAZenyw!EZz%#EYvHAzO7}ovtGMlLh4-u2{9wa=r0|#QbvB2`L^2G6=C)a2fEpz z3od)?=?mL&F`+%wwUMXaX&7GEhhQ9QN#Na?kS3F^@V7+Of<|~8IIg4rG2sI}GEgi;)ed(0k$4i|bKmcPI{xxa!&0xXC#)gf9L-})O zli~h;dx7!salG9F^|Lm|tM@}9vV|j z%4xOZbNL#MWKtDhDt!OtpEQlhG@Fx5w_N`cepj1tPx^D|X3_sq^z^qN{(qTs-6r2_ zvEFDE3vKPb3Fcp`%aph$qgBnQtC_gmQme2)hDv__nSr?1MB&TPTWyqQxrZ>>oRzG- zrNXE60sw$fbuw~fGx_UY{jnGK@T#k8A>y+1UhBT2aoib|6Z+V6^?vEyU{IG;YR2`v z-`J$WgMVUDeMjH43ftM{6r|p`IXe#yhsfqZ2cy8b*Ss8KJvZ%Q`(6Wfeyx9FZBLNt zRwq_};2!sFaqH27*@_)Y>+kOwmm7tDoPlSLM}`AyWXEZE(4@Tfx)u4~=;fhH?`C|s z!6K4rdzi@S8~m;oTH>N^rsTWE)1}x@nN~>t<^3Ug_kK`0{V(Tt#OxF0NHXVT1(Bi6 zuN6AfYI`83?p<>(#in(|>*O%^uLi2@f70aU$W|HMU;jBY^*U|x2hpx+gyb*(g=gnN zcYWnG+S^tT(Y!h;_;#}8jjbaw9W?pSMn@IOwhK)CZ3wMey`ApNnGr{q#M z^s~V`&QYHH+nHiOUvdD?>3BjhJ~BFo`sYhSr{3y_nyi0#0-TMs-q-M(NqUW+w|~{& zcWfS_^xyJH4;j;)y*?o{?+A2h)*K-bsP~W-A!&$BcDveWBGC!j5VF+7$<}_?_c!_& zAAgRJ^h(jeL0;oK6My~<$nI-gDlQaBG+EM(P5e~TLcM!9oWg%t>KoJA&L60>s-0Yc zzVh3bn6|4pjGKA`HcsiZ4vthh5L{O;J7J!D zN`}_ME8;yZOJR?niT01nluo%ovCC(q--dqg?JNXNUTJ`jr`*Mv7EM5c^@$U1iCz+? z+|F`O;DZ+@8Q4a8?W}9YyyUV+te5NG7xBc9;{-YW>`>Y4EY|f}O@9jWWvAofZA5pg zvVaudiiBu~)oNXjtLXQquFU+vU1MQoiT{kdT*Ar}c+sqb?-QFQYpOa%Rz;Utr^)86 zzJo84XL;vZ0`Sz&JA_S#x#jm28yi^Ic=DSg?VmEft$wtwLPPx?fnKeu_I}y@48f4U ze5ze=yomO9+T(eA#@0nIm(j8~C}dm>TZo-7cdE;Q9*6cbE9QrpL9OV4C&8m;bm!A->JfDe`j+>v3^jYi)!@ z@z|W}ik4EdBo#x1WIPrm-~|USHi!%|{|9`-;o;n|E~~^tkt2Sc_R@2XZzrh!s6Ca^s!|47mC85Y(185xzfa-8#dtcjNJ=8+HF<6D-S`mo;sS9LY}gCs3oO? zycf9+)QzO2qDHr3Ea?M8NL*FQLv+pODLO*~4r3M7 z*}EMpF@ny!kq2VuWSl>iI7YHyCw9O9>Zq?%*H*U9`qtk98G&D8r-MC2TWYo--7jm{ zxA^|a?VQj3Jf&IaBGF%S7)GjHO21}!=cX6faC_#y)@Y`)%&o{ts-kb0adswd(Q3Cd z)1=cE2i=6OlBGS-ZlhN5tpeB1Wawkb&APS7uf%+UuR}slrluw+SL6zWl7+}oJ+Sm} zB-mwm>1&3t&BS5Dc&tIM456&E;Lr+iG9pT;3VLS-084`2c#FUXnV`kCLsO?CJx;-Q zBBmTKjhyx6%J=1vL7=y~PK`M^Qo2;QDC&X=vPz5#a2D9o`ZC=9{Q+W;88MsCsf`)t z0KvPJ#1r=1DB<@50=2y009W-RfjXt<8PtsCy(STEOZ)-uYgM-?@?3%nE z;k@>BQP)X`m>ZWO?X19p`SAA%8juVjmj)Pk^Bwq`fMrjsbwfeo`M}%jj{C z0h{jnZT(rUO)0GcJTzTrC8TSbbFl{DlAIC_%}qi*qZl~1cB=db^NM%)A$!jLCVRI3 zXW7$HtLCq=XU{t)%XSs<{NI56G1v>0HX*!7jOGS4ol-3?w>!eK%vg5sR=9=% zl}jRa%C?qGNZM82nn6Rzr)Qh0?giCx(B)5~qfqe`CNPp?hH2ZVUU7Z#1e?ZvqdIv( zzJjXwZiCrmg$1w3;u3?W=Zgjm-0;%wE^xVWB#SZMve&|-WE&+l&&nqI_(>fCkT)Ue zkQdXfI@0V&kbRD?h5ntT;}2~|i-8yCvBl(}>sXF7p=mPdDhmoNIOywIym?J|#|dqw zHTt4%n*QbeliK56mQhOh{WC#1=Wm9butqE{91{Q3_NK#5)2+Y(>QO!*fG3pOgxI4cFX+P+tU(HH3Oc!5n_gdUy`DjthpjZkEX#U^Y*+ zS=CvII?C0f!!zjhI|omVRAKH39&M}NO?t@@Iv&GL^;Zis0rSJcq__QPVbVMNXA9FU zOa_oH(0?-ISv-7@q&sQ(zA)3S*0Y3yAhCiv3_{MaV;QT03+hdHJx_vJ@f#425tJt) zVCkal?D6B$)`3c}#n-zeS4416K}HM=!Fe2U&+&8<~f%= z5=}}jc%A6F5&su^vWwr9G_;MIa3U>j5K0`M3l;+d@R}YaK66zaRwl(I5g~T->xJJ} zS&va@tcp!JAhgV-b0@2%YOPlWQFz#5-!;QQDKK1VJ(&Nn%s6dtU@e1HW%#-2vBVYJ z2+Z2d7RddObEe*o2(N&MMZ)+;M+cT5!M)qQ7&u>^i74lK@?5b9*riDJ45!`lH$$6S z3Qds9RXb)_L%On(#q6(yR!cathR1KhM>?ZKnxRD|rM)e<;bD1kwFz)|1HTqV6fOh) z3<=!tbuA?)dmr5knTK=dJnB{nk~Hg+kUOG^9oYy-Tfc;TPyZ~f@Pld%w6FR7?Y6EZ z>Js5qiwp|@X-|_3_?srV9rRO^ye;-mnxv+Z2&_lW$W znu}8~@TFe>?SnSfl>oWqDynU|k|ri#eLFl@`%`EzKRLwS1M>I8JTSCf6iF!h9Gi-> zzmgoqG#6NVCFVDw@mTq@u-QHHkuWo`+2((i11xYk^>=`lddu>s-)QM_;5Xg^kH1{0 zCoIa25HJykJEvAE=C;7nAUm=K7@&xBJmz`-PCux^wTj`m)%Q$)=xEcl8Mw#`dU7?< zd!2_~c4m1-K2WV!S)Sc<0&@F=073C;H`?y%#VDpK27t33oUVUMV8Zy~;hogSgW<=> z9PUkiu_Z^6K(A?k)BL~yE70MkO?O;rh@iT7vJI>|1P4kRpG;#(8Dp`R)OtYN4@YF1 zg)6>KhViv1?mg`z7kjaX6{&OcoIPcls>7E0myAcU_`vyJ_RRb*q$7nQ@67fxvSxPL zIBvH*4GvkY`<&{>xqe#NA80hxQ6hy`PFH-BMdu$V+lwUdy?u-EYtk=^5p8XAZ5->4hP~u8 zn4X$q9`zjo0!!NP);e1=n>^PjsSSuiZn?QZOsnDvZm<5-5P=CGXccCTSA_InDc#hq zfqUs*V$+Dz%GQFo=gO?*DL>3*C(+~={hd-yP=1{kEcj!0=Q{xCuB%ys*EwY@pXsn; zqb@+v@3V_p#={%WG*itk8I_r-Pe%JXy&32Uadt385K~o5`_t5>m_9Hp#dvJ|yfZd_ zr$50*eReN*XfG>dC`{&uKrGyG6h%&XA~uCZBSS-?ceZGV5ffY1;Em(44U0Zv%5lPX zjI9BR@j2M-M0@kS7i)(o>i&fBA{glro#SeqN_*i74D-OZ@8c&9y^?r#07r-$RG86i zSWjOI1&IW7u!bQN8|RAaRC<-|a9#E+c7m)V7EO(o&NtavySfF@Rqa)Gl_M>KmKug~ z6}{Z`Ta!6rhh)Oma8PYzeq2QJbzStuut6A5*kmK+gB(k~S{)ovI{aOJJ^N{*+f*8f zRw9|U=vwXt@w>>j(wv6PYuT-RF-K@pT!CJ4Rv91xyc~xlmD|fGo=;_w$e-_)Op|23 z4o2)GlK?;O4*wmXcJyR_)kS$TP;3sd77z19AKwf`T*vYlu6=f&m$@!lIK>7SY8P-kR#a}ZEqJfviGzCBhgdxO z2+QX+=FxTAoh-H4_S{e8nhT-=?4?b0oab{x5V2&q<6mtB@~X^lk~hC??zRjhcC1S- z0}~258YRlHHA=Kom|f$Ne`Un2S}HxfI0^ebv+&J3pAa38e!vMkDqrZ`y8&f=pI;?&gbFtv3U6@t)?4;pYeOjx*z@#tV z#@@+FIg&KHNs-8r$=dsAVM$CM-uRIGoScor;aWx>#x_UW^RL68OREDg#nH;Dt^(Dz zF7wj>hwMCjT_3jIm^SJD@^q7wDLS7tXJz^t3Xe3|`cgn$)A35=mOmW7B7GfPAcv8F zjL3&*`DZE?GJE5&=NzoC#iEGu{6S~%L#Ei#?Imv1vTTm89KmqWv<=Ax_qv}Tr2-2; z6&euYJf!?a+Q)$GBbew}W?uj3Ifw-W=16jfN6I|2sV8jNd|47Pwo#o*{b=UnyTSQ5 zs-e5jk2wA;HDe@PiC%sryFbEjPA?^Sa=UD4!k1%GN`){iU5!C8PExJTyM^gj5u?5( zb?XhrtS&8zNIA(VuBaH`K4|+pmtsjuYxnr=;&STw9n8uaEXZH%0dps)edZuHnvO!R z`aN6@`uHQ6P?VEcjV>xL%mHvfAGC~|V>dBt2^pc{g%|TNeV7Z)Hi7NY`hrULuwJT| zROka@Hie&7sTnl<1XUcSdR>iC+j{?V)Ll4YHt^(La>`Y13;&qvW%vH2=Ej$$nb$D} z*|@R2*X%mCg+}K(bH4>m5hd41_F(5%xCYXj`0P>Nw2Yk17(Mz>1Ua_Ar#n0$5^&6{ zfyOgnPM;W@$qrn7qS0%(Rcts?TUYa~JzcRo4Ztr!9;T0TXq-WcDs%qd8F(#Z1CRWb z_=a6rz{2_C>v=MSsWhUP5 zIy&F;3|9-T%7+wM#D*0Cv_8J?^qd_Z2&Lzv?AT4rg+2ag<{Zf^8?I!&TOz2G3}u0 z&>UvcEn(KXMCk`adO4(`rcoaCtVlQ}Jm82vCOv4t;+g1ZC3ZU=3C`qA{tf4Onwo-_ zH1*lc%lKx9u9~{m@_DBCWjkwK!HR4zvy}jn!97^v| zXs}5-qQw4BLR{d+fe`n{@Sj4Q+sFTg5VvmlyATIDn@sC4p52$oTPYO&!ch}HnD?+o z9O))g|D_&{c#_>+uWA8yxau^%9=s?}JUt=vafQ}b+XOs|qvxp|AGc}U7H}vW*?MC% z#$E^Z$A+#`C~kG6H2PsiZgYY&H_eFXUO7c$WCszv$VMko`sjEh=kiOT-(9zd^u%KX zw$FiLR}83E(N05l^P4^BNN^mE&5i>h{n#(1KXex79u9>FU+q?jXv1jVLA?I27 zI?ZGBDjLbf$#R(|fMTzYBM*eDmlFRq!EO9NaQiUYVBPUrMAJSSkE)VbfB1r)jo)>s zf1!Bt4N9CfyIZ--=D;^Q)GWcn+Y9~9!+VxX7X(rWmqJuuy3eko}%ttfF; zmUeQ5vZr+iTXN4KgDlfATmB}rF=_4DaR(Dq&0i#;k7QjVPRBGl?C*+Ns<+4cyzWOT ze`kUJUugTkNoYGnC9f}gUdlhaAfL*>@I^{n+kFKImj`W)_6NuN(4nVi|DC*c=y`GP zX}#l@MSl~~1jD$zsx|&xdYbt^RK@&_Y5X5_*8c0@kn-&=hpVxRoazk8ac>jv+}2Wp J+_HJ_zW|eY6*&L^ literal 0 HcmV?d00001 diff --git a/lab_1/requirements.txt b/lab_1/requirements.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e76aa1524abe31f09841789a43130c3aa1817d6 GIT binary patch literal 1142 zcmZXTX->mX421m~iK7%X=>q)V4&0#X652wWhV(&~!vpi#St_CEp%RbBGvk-vpSc|^ z={eYk6;|rM7d^Q>*jOjCd%Lrxsym(9=C;=XF>Dai4zX9QtzyKxQ_3u6mliCOs3ZFIw`lgr@oWZ)a)w0#n>1clN53vm Date: Sat, 21 Sep 2024 09:27:41 +0400 Subject: [PATCH 2/3] =?UTF-8?q?=D0=BF=D1=80=D0=BE=D0=B2=D0=B5=D1=80=D0=BA?= =?UTF-8?q?=D0=B0,=20=D0=BF=D0=BE=D0=B4=D1=80=D0=B5=D0=B4=D0=B0=D1=87?= =?UTF-8?q?=D0=B8=D0=BB?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/Lab1.ipynb | 21 ++++++++------------- 1 file changed, 8 insertions(+), 13 deletions(-) diff --git a/lab_1/Lab1.ipynb b/lab_1/Lab1.ipynb index b71fff4..687ce07 100644 --- a/lab_1/Lab1.ipynb +++ b/lab_1/Lab1.ipynb @@ -11,7 +11,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -28,7 +28,7 @@ "source": [ "import matplotlib.pyplot as plt\n", "import pandas as pd\n", - "df = pd.read_csv(\".//static//csv//neo.csv\", nrows=15000)\n", + "df = pd.read_csv(\"..//static//csv//neo.csv\", nrows=15000)\n", "print(df.columns)\n" ] }, @@ -68,7 +68,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -77,7 +77,7 @@ "" ] }, - "execution_count": 22, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, @@ -108,16 +108,16 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 69, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, @@ -138,12 +138,7 @@ "handles = [plt.Rectangle((0,0),1,1, color='blue'), plt.Rectangle((0,0),1,1, color='red')]\n", "labels = ['Потенциально не опасный', 'Потенциально опасный']\n", "data2.plot(kind='bar', figsize=(10, 6), color=['blue', 'red'], xlabel='Значение столбца \"hazardous\"')\n", - "plt.legend(handles, labels)\n", - "\n", - "\n", - "#ПОЧЕМУ НЕ ОТОБРАЖАЕТСЯ ОБЕ ПОЛОСКИ В КОДЕ НИЖЕ без handles?\n", - "# plot = df.groupby('hazardous')['relative_velocity'].mean().plot.bar(color=[\"pink\", \"green\"])\n", - "# plot.legend([\"Потенциально не опасный\", \"Потенциально опасный\"])" + "plt.legend(handles, labels)" ] }, { From 25d54dcb02dc98cfcd90d5e480943df3623e82e0 Mon Sep 17 00:00:00 2001 From: ujijrujijr Date: Sat, 21 Sep 2024 09:27:57 +0400 Subject: [PATCH 3/3] =?UTF-8?q?=D0=BF=D1=80=D0=BE=D0=B2=D0=B5=D1=80=D0=BA?= =?UTF-8?q?=D0=B0?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- lab_1/Lab1.ipynb | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/lab_1/Lab1.ipynb b/lab_1/Lab1.ipynb index 687ce07..87ddb0b 100644 --- a/lab_1/Lab1.ipynb +++ b/lab_1/Lab1.ipynb @@ -150,16 +150,16 @@ }, { "cell_type": "code", - "execution_count": 70, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 70, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" },