openenv/pr_752/en/_app/immutable/nodes/37.edde6ffb.js

import{s as wJ,n as yJ,o as cJ}from"../chunks/scheduler.2b22cead.js";import{S as uJ,i as UJ,e as d,s as n,c as i,h as jJ,a as m,d as t,b as a,f as gs,g as r,j as T,k as TJ,l as c,m as s,n as p,t as M,o as J,p as o}from"../chunks/index.1a0e8013.js";import{C as bJ,H as w,E as gJ}from"../chunks/MermaidChart.svelte_svelte_type_style_lang.6482ae84.js";import{C as y}from"../chunks/CodeBlock.2f28dde2.js";function fJ(Bp){let U,vs,$s,Es,b,Zs,g,Bs,f,Ap=`Autonomous wildfire-control simulation for reinforcement-learning agents, built on the <a href="https://github.com/openenv" rel="nofollow">OpenEnv</a> framework.
Agents must contain spreading fires using <strong>water</strong>, <strong>firebreaks</strong>, and <strong>timing strategies</strong> under changing <strong>wind</strong> and <strong>humidity</strong> conditions.`,As,h,kp='<a href="https://hub.docker.com/" rel="nofollow"><img src="https://img.shields.io/badge/docker-ready-blue" alt="Docker"/></a> <a href="https://www.python.org/" rel="nofollow"><img src="https://img.shields.io/badge/python-3.10+-green" alt="Python"/></a> <a href="https://fastapi.tiangolo.com/" rel="nofollow"><img src="https://img.shields.io/badge/backend-fastapi-teal" alt="FastAPI"/></a> <a href="LICENSE"><img src="https://img.shields.io/badge/license-MIT-lightgrey" alt="License"/></a>',ks,Gs,Rs,I,Qs,C,Gp='<li><a href="#-why-wildfire-simulation">Why Wildfire Simulation?</a></li> <li><a href="#-quick-start">Quick Start</a></li> <li><a href="#-environment-overview">Environment Overview</a></li> <li><a href="#-grid-format--encoding">Grid Format &amp; Encoding</a></li> <li><a href="#-actions">Actions</a></li> <li><a href="#-observations">Observations</a></li> <li><a href="#-reward-structure">Reward Structure</a></li> <li><a href="#-fire-spread-mechanics">Fire Spread Mechanics</a></li> <li><a href="#-configuration">Configuration</a></li> <li><a href="#-installation--usage">Installation &amp; Usage</a></li> <li><a href="#-api-reference">API Reference</a></li> <li><a href="#-examples">Examples</a></li> <li><a href="#-web-interface">Web Interface</a></li> <li><a href="#-troubleshooting">Troubleshooting</a></li> <li><a href="#-references">References</a></li>',Ns,Vs,Xs,$,Ys,W,Rp=`Wildland fires are intensifying globally due to climate change — increasing the urgency for <strong>AI-assisted decision-making</strong>.
This environment explores how intelligent systems can <strong>control</strong> fire spread in real time, under limited resources.`,Ss,v,xs,E,Qp="✅ Based on real wildfire science inspired by:",_s,Z,Np="<li><strong>Rothermel Surface Fire Spread Model</strong> (USDA Forest Service)</li> <li><strong>MITRE Fireline’s SimFire</strong> — physics-informed RL fire simulator</li> <li><strong>SimHarness</strong> — RL evaluation for disaster response</li>",Ls,B,Hs,A,Vp="<thead><tr><th>Research Theme</th> <th>Role in This Environment</th></tr></thead> <tbody><tr><td>Resource-Constrained Planning</td> <td>Finite water + firebreak budgets</td></tr> <tr><td>Fire Spread + Containment Strategy</td> <td>Directional wind &amp; moisture effects</td></tr> <tr><td>Disaster Response RL</td> <td>Safety-focused reward design</td></tr> <tr><td>LLM Agents for Control Tasks</td> <td>Text-based action decision making</td></tr></tbody>",Fs,k,Xp="This makes WildfireEnv a <strong>fast, controllable</strong>, and <strong>open benchmark</strong> for applied RL and LLM reasoning.",zs,Ds,qs,G,Ks,R,Ps,Q,Os,N,Yp="<strong>Note:</strong> The web interface can be enabled with <code>ENABLE_WEB_INTERFACE=true</code>. Access it at <code>http://localhost:8000/web</code> when enabled.",ln,V,en,X,tn,sn,nn,Y,an,S,Sp="This environment models <strong>forest-fire dynamics</strong> influenced by:",rn,x,xp="<li><strong>Wind direction</strong> (8 directions + calm) - accelerates fire spread in wind direction</li> <li><strong>Humidity</strong> (0.0-1.0) - suppresses ignition probability</li> <li><strong>Fuel type and spread rate</strong> - vegetation burns and spreads to neighbors</li> <li><strong>Limited resources</strong> (water units, break materials) - strategic resource management</li> <li><strong>Time pressure</strong> (each step costs small reward penalty)</li>",pn,_,_p="The goal is to <strong>minimize fire spread</strong> and <strong>total burned area</strong> while using resources efficiently.",Mn,L,Jn,H,Lp="An episode ends when:",on,F,Hp="<li><strong>All fires are extinguished</strong> (<code>burning_count == 0</code>) - <strong>Success!</strong></li> <li><strong>Maximum steps reached</strong> (<code>step_count &gt;= max_steps</code>) - Time limit exceeded</li>",dn,mn,Tn,z,wn,D,yn,q,Fp="The grid is returned as a <strong>flat 1D array</strong> in the observation. To access cell at position <code>(x, y)</code>:",cn,K,un,P,zp="<strong>Example:</strong> For a 32×32 grid, cell at (10, 15):",Un,O,jn,ll,bn,el,Dp="<thead><tr><th>Code</th> <th>Meaning</th> <th>Color (Visualization)</th> <th>Behavior</th></tr></thead> <tbody><tr><td><code>0</code></td> <td>Ash (burned)</td> <td>Black ⚫</td> <td>Burned out, cannot reignite</td></tr> <tr><td><code>1</code></td> <td>Fuel</td> <td>Green 🟩</td> <td>Healthy vegetation, can ignite</td></tr> <tr><td><code>2</code></td> <td>Burning</td> <td>Red 🔥</td> <td>Currently on fire, spreads to neighbors</td></tr> <tr><td><code>3</code></td> <td>Firebreak</td> <td>Brown 🟫</td> <td>Barrier, fire cannot cross</td></tr> <tr><td><code>4</code></td> <td>Water/Damp</td> <td>Blue 🔵</td> <td>Dampened, immune to ignition temporarily</td></tr></tbody>",gn,tl,fn,sl,hn,In,Cn,nl,$n,al,Wn,il,vn,rl,qp="<strong>Extinguishes burning cells and dampens fuel to prevent ignition.</strong>",En,pl,Zn,Ml,Kp="<strong>Effects:</strong>",Bn,Jl,Pp="<li><strong>Burning cell (2)</strong>: Extinguishes → becomes Water/Damp (4), gives <strong>+0.25 reward</strong></li> <li><strong>Fuel cell (1)</strong>: Dampens → becomes Water/Damp (4), gives <strong>-0.10 reward</strong> (preventive, slight penalty)</li> <li><strong>Water/Damp cell (4)</strong>: Redundant watering, gives <strong>-0.05 reward</strong></li> <li><strong>Ash/Break (0, 3)</strong>: Wasteful, gives <strong>-0.05 reward</strong></li>",An,ol,Op=`<strong>Resource Cost:</strong> 1 water unit per action
<strong>Requires:</strong> <code>remaining_water &gt; 0</code> and valid coordinates`,kn,dl,lM="<strong>Best Use:</strong> Extinguish active fires before they spread",Gn,Rn,Qn,ml,Nn,Tl,eM="<strong>Builds a fire-resistant barrier that stops fire spread.</strong>",Vn,wl,Xn,yl,tM="<strong>Effects:</strong>",Yn,cl,sM="<li><strong>Fuel/Water cell (1, 4)</strong>: Creates firebreak → becomes Firebreak (3), gives <strong>+0.15 reward</strong></li> <li><strong>Burning cell (2)</strong>: Extinguishes → becomes Firebreak (3), gives <strong>-0.02 reward</strong> (less effective than water)</li> <li><strong>Firebreak (3)</strong>: Redundant, gives <strong>-0.01 reward</strong></li> <li><strong>Ash (0)</strong>: Wasteful, gives <strong>-0.02 reward</strong></li>",Sn,ul,nM=`<strong>Resource Cost:</strong> 1 firebreak material per action
<strong>Requires:</strong> <code>remaining_breaks &gt; 0</code> and valid coordinates`,xn,Ul,aM="<strong>Best Use:</strong> Create barriers ahead of fire front to contain spread",_n,Ln,Hn,jl,Fn,bl,iM="<strong>Let natural fire dynamics occur (fire spreads).</strong>",zn,gl,Dn,fl,rM="<strong>Effects:</strong>",qn,hl,pM="<li>No resource cost</li> <li>No coordinate required</li> <li>Fire spreads naturally to neighboring cells</li> <li>Small time penalty (-0.01 reward per step)</li>",Kn,Il,MM="<strong>Best Use:</strong> When fire is contained, waiting for it to burn out",Pn,On,la,Cl,ea,$l,JM="Actions that fail (give <strong>-0.05 reward</strong>):",ta,Wl,oM="<li>Invalid coordinates (out of bounds)</li> <li>Using water when <code>remaining_water == 0</code></li> <li>Using break when <code>remaining_breaks == 0</code></li> <li>Missing required coordinates for water/break actions</li>",sa,na,aa,vl,ia,El,ra,Zl,dM="Returned after every <code>reset()</code> or <code>step()</code>:",pa,Bl,Ma,Al,Ja,kl,oa,da,ma,Gl,Ta,Rl,wa,Ql,mM="<thead><tr><th>Action</th> <th>Condition</th> <th>Reward</th></tr></thead> <tbody><tr><td><strong>Water burning cell</strong></td> <td>Extinguishes fire</td> <td><strong>+0.25</strong></td></tr> <tr><td><strong>Water fuel cell</strong></td> <td>Preventive dampening</td> <td><strong>-0.10</strong></td></tr> <tr><td><strong>Create firebreak</strong></td> <td>From fuel/water</td> <td><strong>+0.15</strong></td></tr> <tr><td><strong>Fire spreads</strong></td> <td>Each new burning cell</td> <td><strong>-0.15 per cell</strong></td></tr> <tr><td><strong>Fire shrinks</strong></td> <td>Each extinguished cell</td> <td><strong>+0.10 per cell</strong></td></tr> <tr><td><strong>New burned area</strong></td> <td>Each cell turns to ash</td> <td><strong>-0.05 per cell</strong></td></tr> <tr><td><strong>Time penalty</strong></td> <td>Every step</td> <td><strong>-0.01</strong></td></tr> <tr><td><strong>Invalid action</strong></td> <td>Out of bounds, no resources</td> <td><strong>-0.05</strong></td></tr> <tr><td><strong>Redundant action</strong></td> <td>Watering already damp cell</td> <td><strong>-0.05</strong></td></tr></tbody>",ya,Nl,ca,Vl,TM="When episode terminates (<code>done == True</code>):",ua,Xl,wM="<li><p><strong>Fire contained</strong> (<code>burning_count == 0</code>):</p> <ul><li><strong>+0.5</strong> base bonus</li> <li><strong>+0.5 × saved_ratio</strong> bonus (proportion of cells not burned)</li></ul></li> <li><p><strong>Fallback reward</strong>:</p> <ul><li><strong>+0.2 × (1.0 - burned_ratio)</strong> bonus</li></ul></li>",Ua,Yl,yM="<strong>Example:</strong> Perfect containment (no burned cells):",ja,Sl,ba,xl,ga,_l,cM="<li><strong>Positive rewards</strong>: Good containment actions, extinguishing fires</li> <li><strong>Negative rewards</strong>: Fire spread, resource waste, time penalty</li> <li><strong>Goal</strong>: Maximize cumulative reward = minimize fire damage</li>",fa,ha,Ia,Ll,Ca,Hl,$a,Fl,uM="Fire spreads using an <strong>8-directional neighbor model</strong>:",Wa,zl,UM=`<li><p><strong>Burning cells persist</strong> for <code>burn_lifetime = 3</code> ticks before turning to ash</p></li> <li><p>Each burning cell can ignite <strong>neighboring fuel cells</strong> (8 directions)</p></li> <li><p>Spread probability depends on:</p> <ul><li><strong>Base ignition probability</strong>: <code>0.30</code> (30% chance)</li> <li><strong>Humidity factor</strong>: <code>(1.0 - humidity)</code> - higher humidity = less spread</li> <li><strong>Wind multiplier</strong>:
<ul><li><strong>+2.0x</strong> in wind direction</li> <li><strong>+0.5x</strong> against wind</li> <li><strong>+1.0x</strong> perpendicular</li></ul></li> <li><strong>Diagonal factor</strong>: <code>0.6x</code> for diagonal neighbors (slower spread)</li></ul></li> <li><p><strong>Water/Damp cells (4)</strong> are <strong>immune</strong> to ignition while damp</p></li> <li><p><strong>Firebreaks (3)</strong> <strong>cannot</strong> be crossed by fire</p></li> <li><p><strong>Ash cells (0)</strong> cannot reignite</p></li>`,va,Dl,Ea,ql,jM="<thead><tr><th>Wind Direction</th> <th>Effect on Fire Spread</th></tr></thead> <tbody><tr><td><strong>In wind direction</strong></td> <td>2× faster ignition probability</td></tr> <tr><td><strong>Against wind</strong></td> <td>0.5× slower ignition probability</td></tr> <tr><td><strong>Perpendicular</strong></td> <td>Normal (1×) ignition probability</td></tr> <tr><td><strong>CALM</strong></td> <td>No directional bias</td></tr></tbody>",Za,Kl,Ba,Pl,bM="Watered cells (4) remain damp for <strong>6 ticks</strong> before reverting to fuel (1).",Aa,Ol,ka,le,Ga,Ra,Qa,ee,Na,te,Va,se,gM="Set these <strong>before starting the server</strong>:",Xa,ne,fM="<thead><tr><th>Variable</th> <th>Description</th> <th>Default</th> <th>Range</th></tr></thead> <tbody><tr><td><code>WILDFIRE_WIDTH</code></td> <td>Grid width in cells</td> <td><code>32</code></td> <td>8-128</td></tr> <tr><td><code>WILDFIRE_HEIGHT</code></td> <td>Grid height in cells</td> <td><code>32</code></td> <td>8-128</td></tr> <tr><td><code>WILDFIRE_HUMIDITY</code></td> <td>Initial humidity level</td> <td><code>0.25</code></td> <td>0.0-1.0</td></tr> <tr><td><code>WILDFIRE_WIND</code></td> <td>Wind direction (fixed)</td> <td>Random</td> <td><code>N</code>, <code>NE</code>, <code>E</code>, <code>SE</code>, <code>S</code>, <code>SW</code>, <code>W</code>, <code>NW</code>, <code>CALM</code></td></tr> <tr><td><code>WILDFIRE_SEED</code></td> <td>Random seed</td> <td><code>3407</code></td> <td>Any integer</td></tr> <tr><td><code>WILDFIRE_MAX_STEPS</code></td> <td>Max steps per episode</td> <td><code>128</code></td> <td>10-1000</td></tr> <tr><td><code>WILDFIRE_WATER_CAPACITY</code></td> <td>Initial water units</td> <td><code>8</code></td> <td>1-100</td></tr> <tr><td><code>WILDFIRE_BREAK_CAPACITY</code></td> <td>Initial firebreak materials</td> <td><code>50</code></td> <td>1-200</td></tr></tbody>",Ya,ae,Sa,ie,xa,re,_a,pe,La,Me,Ha,Je,Fa,za,Da,oe,qa,de,Ka,me,hM="<strong>Manual setup:</strong>",Pa,Te,Oa,we,IM="This approach:",li,ye,CM="<li>Builds the base image if needed</li> <li>Rebuilds the wildfire image</li> <li>Starts the container</li> <li>Shows logs in real-time</li>",ei,ce,$M="<strong>Alternative: Using build_docker.sh script:</strong>",ti,ue,si,Ue,ni,je,WM="<strong>Requirements:</strong>",ai,be,ii,ge,vM="<strong>Run server:</strong>",ri,fe,pi,he,EM="<strong>Or with environment variables:</strong>",Mi,Ie,Ji,oi,di,Ce,mi,$e,Ti,We,wi,ve,yi,Ee,ci,Ze,ZM="Resets the environment to initial state.",ui,Be,Ui,Ae,ji,ke,BM="Takes an action and returns new observation.",bi,Ge,gi,Re,fi,Qe,AM="Access current environment state.",hi,Ne,Ii,Ve,Ci,Xe,kM="Closes the connection (for HTTP clients, this is a no-op but good practice).",$i,Ye,Wi,Se,vi,xe,Ei,_e,Zi,Le,GM="<strong>Examples:</strong>",Bi,He,Ai,Fe,ki,ze,RM='See <a href="#-observations">Observations</a> section for full details.',Gi,De,Ri,qe,Qi,Ni,Vi,Ke,Xi,Pe,Yi,Oe,Si,lt,xi,et,_i,tt,Li,st,Hi,nt,Fi,at,zi,Di,qi,it,Ki,rt,QM="The Wildfire Environment includes a <strong>custom web interface</strong> with visual grid display and wildfire-specific features.",Pi,pt,Oi,Mt,lr,Jt,er,ot,NM="Then open: <code>http://localhost:8000/web</code>",tr,dt,sr,mt,nr,Tt,ar,wt,ir,yt,VM="<li><strong>Wildfire-specific action form</strong> <ul><li>Action dropdown: Water (Extinguish Fire), Break (Create Firebreak), Wait (Do Nothing)</li> <li>Coordinate inputs (X, Y) - auto-populated when clicking grid cells</li> <li>Coordinates show/hide based on action type</li></ul></li> <li><strong>Environment stats display</strong> <ul><li>Step count</li> <li>Water remaining</li> <li>Breaks remaining</li> <li>Burning cells count</li></ul></li> <li><strong>Current state display</strong> <ul><li>Status (Reset/Running)</li> <li>Episode ID</li> <li>Wind direction</li> <li>Humidity</li></ul></li> <li><strong>Control buttons</strong> <ul><li>Reset Environment</li> <li>Get State</li></ul></li>",rr,ct,pr,ut,XM=`<li><strong>Visual 2D Grid Display</strong> 🔥
<ul><li>16×16 grid rendered as color-coded cells</li> <li><strong>Color coding:</strong> <ul><li>🟩 <strong>Green</strong> = Fuel (safe, value 1)</li> <li>🔥 <strong>Orange/Red</strong> = Burning (fire, value 2)</li> <li>⬛ <strong>Dark Gray</strong> = Ash (burned, value 0)</li> <li>🟫 <strong>Brown</strong> = Firebreak (value 3)</li> <li>🟦 <strong>Blue</strong> = Watered/Damp (value 4)</li></ul></li> <li><strong>Interactive:</strong> Click cells to set coordinates for water/break actions</li> <li><strong>Auto-updates:</strong> Grid refreshes automatically via WebSocket</li></ul></li> <li><strong>Legend</strong> <ul><li>Color-coded legend explaining all cell types</li></ul></li> <li><strong>Action history</strong> <ul><li>Log of all actions with timestamps</li> <li>Shows action, observation, reward, and done status</li></ul></li>`,Mr,Ut,Jr,jt,YM="<li><strong>WebSocket connection</strong> - Real-time state updates without page refresh</li> <li><strong>Instructions panel</strong> - Collapsible environment documentation</li> <li><strong>Grid status indicator</strong> - Shows grid dimensions and cell count</li>",or,bt,dr,gt,SM="<li><strong>Start the server</strong> (see above)</li> <li><strong>Open browser</strong> to: <code>http://localhost:8000/web</code></li> <li><strong>Click “Reset Environment”</strong> to initialize and display the grid</li> <li><strong>Interact with the grid:</strong> <ul><li>Click on a cell to set coordinates for water/break actions</li> <li>Or manually enter X, Y coordinates</li></ul></li> <li><strong>Select action:</strong> <ul><li>Choose <code>water</code>, <code>break</code>, or <code>wait</code> from the dropdown</li></ul></li> <li><strong>Click “Execute Action”</strong></li> <li><strong>Watch the grid update in real-time:</strong> <ul><li>Fire spreads automatically</li> <li>Cells change color based on state</li> <li>Stats update automatically</li></ul></li> <li><strong>Monitor resources</strong> in the stats panel (water, breaks, burning count)</li>",mr,Tr,wr,ft,yr,ht,cr,It,ur,Ct,xM="<strong>Problem:</strong> <code>ConnectionRefusedError</code> or <code>Cannot connect to server</code>",Ur,$t,_M="<strong>Solutions:</strong>",jr,Wt,LM="<li>Verify server is running: <code>curl http://localhost:8000/health</code></li> <li>Check Docker container: <code>docker ps | grep wildfire</code></li> <li>Ensure port 8000 is not in use: <code>lsof -i :8000</code></li>",br,vt,gr,Et,HM="<strong>Problem:</strong> <code>IndexError: list index out of range</code>",fr,Zt,FM="<strong>Solution:</strong> Ensure coordinates are within bounds:",hr,Bt,Ir,At,Cr,kt,zM="<strong>Problem:</strong> Actions returning -0.05 reward repeatedly",$r,Gt,DM="<strong>Solutions:</strong>",Wr,Rt,qM="<li>Check <code>remaining_water</code> and <code>remaining_breaks</code> before using resources</li> <li>Verify coordinates are integers and within grid bounds</li> <li>Use <code>action=&quot;wait&quot;</code> when resources are exhausted</li>",vr,Qt,Er,Nt,KM="<strong>Problem:</strong> How to access grid cells?",Zr,Vt,PM="<strong>Solution:</strong>",Br,Xt,Ar,Yt,kr,St,OM="<strong>Problem:</strong> <code>failed to solve: openenv-base:latest</code>",Gr,xt,lJ="<strong>Solution:</strong>",Rr,_t,Qr,Lt,Nr,u,Ht,fs,eJ="<strong>Enable verbose logging:</strong>",Ip,Ft,Cp,zt,hs,tJ="<strong>Check environment state:</strong>",$p,Dt,Wp,qt,Is,sJ="<strong>Validate actions:</strong>",vp,Kt,Ep,Pt,Cs,nJ="<strong>Monitor grid changes:</strong>",Zp,Ot,Vr,Xr,Yr,ls,Sr,es,xr,ts,aJ="<li><strong>Small grids (16×16)</strong>: Fast, good for quick testing</li> <li><strong>Medium grids (32×32)</strong>: Default, balanced performance</li> <li><strong>Large grids (64×64+)</strong>: Slower, more realistic but requires more compute</li>",_r,ss,Lr,ns,iJ="<li><strong>Low water (4-8)</strong>: Forces strategic decisions</li> <li><strong>High water (20+)</strong>: More forgiving, easier to succeed</li> <li><strong>Low breaks (25)</strong>: Emphasizes firebreak placement strategy</li> <li><strong>High breaks (100+)</strong>: More freedom, less constraint</li>",Hr,as,Fr,is,rJ="<li><strong>Short episodes (50 steps)</strong>: Fast iteration, good for debugging</li> <li><strong>Medium episodes (128 steps)</strong>: Default, balanced</li> <li><strong>Long episodes (200+ steps)</strong>: Better for complex strategies</li>",zr,Dr,qr,rs,Kr,ps,Pr,Ms,pJ='<li><strong>Rothermel Model</strong>: <a href="https://www.fs.fed.us/rm/pubs_series/rmrs/gtr/rmrs_gtr371.pdf" rel="nofollow">USDA Forest Service - Surface Fire Spread Model</a></li> <li><strong>SimFire</strong>: <a href="https://github.com/mitrefireline/simfire" rel="nofollow">MITRE Fireline Project</a></li> <li><strong>RL for Wildfires</strong>: <a href="https://arxiv.org/abs/2311.15925" rel="nofollow">arXiv:2311.15925</a></li>',Or,Js,lp,os,MJ='<li><strong>Main Repository</strong>: <a href="https://github.com/openenv" rel="nofollow">OpenEnv GitHub</a></li> <li><strong>Documentation</strong>: See <code>rfcs/</code> directory for design documents</li> <li><strong>Other Environments</strong>: See <code>src/envs/</code> for more environment examples</li>',ep,ds,tp,ms,JJ='<li><strong>FastAPI</strong>: <a href="https://fastapi.tiangolo.com/" rel="nofollow">FastAPI Documentation</a></li> <li><strong>Reinforcement Learning</strong>: <a href="https://spinningup.openai.com/" rel="nofollow">Spinning Up in Deep RL</a></li> <li><strong>Docker</strong>: <a href="https://docs.docker.com/" rel="nofollow">Docker Documentation</a></li>',sp,np,ap,Ts,ip,ws,oJ="This environment is part of the OpenEnv project. See the main LICENSE file for details.",rp,pp,Mp,ys,Jp,cs,dJ="Contributions welcome! Please see <code>CONTRIBUTING.md</code> in the main OpenEnv repository.",op,dp,mp,us,Tp,Us,wp,yp,cp,js,mJ="<strong>Happy firefighting! 🔥🚒</strong>",up,bs,Up,Ws,jp;return b=new bJ({props:{containerStyle:"float: right; margin-left: 10px; display: inline-flex; position: relative; z-index: 10;"}}),g=new w({props:{title:"🌲 Wildfire Environment",local:"-wildfire-environment",headingTag:"h1"}}),I=new w({props:{title:"📋 Table of Contents",local:"-table-of-contents",headingTag:"h2"}}),$=new w({props:{title:"🔥 Why Wildfire Simulation?",local:"-why-wildfire-simulation",headingTag:"h2"}}),v=new w({props:{title:"Research Motivation",local:"research-motivation",headingTag:"h3"}}),B=new w({props:{title:"Application Goals",local:"application-goals",headingTag:"h3"}}),G=new w({props:{title:"🚀 Quick Start",local:"-quick-start",headingTag:"h2"}}),R=new w({props:{title:"Using Docker (Recommended)",local:"using-docker-recommended",headingTag:"h3"}}),Q=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Build base image (first time only)</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build wildfire environment</span>
docker build -t wildfire-env:latest -f envs/wildfire_env/server/Dockerfile .

<span class="hljs-comment"># Run container</span>
docker run -p 8000:8000 -e ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> wildfire-env:latest`,lang:"bash",wrap:!1}}),V=new w({props:{title:"Basic Python Client",local:"basic-python-client",headingTag:"h3"}}),X=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv, WildfireAction

<span class="hljs-comment"># Connect to running server</span>
env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)

<span class="hljs-comment"># Reset environment</span>
result = env.reset()
obs = result.observation
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Grid: <span class="hljs-subst">{obs.width}</span>x<span class="hljs-subst">{obs.height}</span>, Fires: <span class="hljs-subst">{obs.burning_count}</span>, Water: <span class="hljs-subst">{obs.remaining_water}</span>&quot;</span>)

<span class="hljs-comment"># Take action (water a burning cell)</span>
result = env.step(WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-number">10</span>, y=<span class="hljs-number">15</span>))
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward:<span class="hljs-number">.2</span>f}</span>, Burning: <span class="hljs-subst">{result.observation.burning_count}</span>&quot;</span>)

<span class="hljs-comment"># Create firebreak</span>
result = env.step(WildfireAction(action=<span class="hljs-string">&quot;break&quot;</span>, x=<span class="hljs-number">12</span>, y=<span class="hljs-number">15</span>))

<span class="hljs-comment"># Wait (fire spreads)</span>
result = env.step(WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>))

env.close()`,lang:"python",wrap:!1}}),Y=new w({props:{title:"🔥 Environment Overview",local:"-environment-overview",headingTag:"h2"}}),L=new w({props:{title:"Episode Termination",local:"episode-termination",headingTag:"h3"}}),z=new w({props:{title:"🧱 Grid Format & Encoding",local:"-grid-format--encoding",headingTag:"h2"}}),D=new w({props:{title:"Grid Structure",local:"grid-structure",headingTag:"h3"}}),K=new y({props:{code:"aW5kZXglMjAlM0QlMjB5JTIwKiUyMHdpZHRoJTIwJTJCJTIweCUwQWNlbGxfdmFsdWUlMjAlM0QlMjBvYnNlcnZhdGlvbi5ncmlkJTVCaW5kZXglNUQ=",highlighted:`index = y * width + x
cell_value = observation.grid[index]`,lang:"python",wrap:!1}}),O=new y({props:{code:"aW5kZXglMjAlM0QlMjAxNSUyMColMjAzMiUyMCUyQiUyMDEwJTIwJTIwJTIzJTIwJTNEJTIwNDkwJTBBY2VsbF92YWx1ZSUyMCUzRCUyMG9ic2VydmF0aW9uLmdyaWQlNUI0OTAlNUQ=",highlighted:`index = <span class="hljs-number">15</span> * <span class="hljs-number">32</span> + <span class="hljs-number">10</span>  <span class="hljs-comment"># = 490</span>
cell_value = observation.grid[<span class="hljs-number">490</span>]`,lang:"python",wrap:!1}}),ll=new w({props:{title:"Cell Encoding",local:"cell-encoding",headingTag:"h3"}}),tl=new w({props:{title:"Grid Visualization Example",local:"grid-visualization-example",headingTag:"h3"}}),sl=new y({props:{code:"aW1wb3J0JTIwbnVtcHklMjBhcyUyMG5wJTBBJTBBb2JzJTIwJTNEJTIwZW52LnJlc2V0KCkub2JzZXJ2YXRpb24lMEFncmlkXzJkJTIwJTNEJTIwbnAuYXJyYXkob2JzLmdyaWQpLnJlc2hhcGUob2JzLmhlaWdodCUyQyUyMG9icy53aWR0aCklMEElMEElMjMlMjBOb3clMjBncmlkXzJkJTVCeSU1RCU1QnglNUQlMjBnaXZlcyUyMHRoZSUyMGNlbGwlMjB2YWx1ZSUyMGF0JTIwcG9zaXRpb24lMjAoeCUyQyUyMHkpJTBBcHJpbnQoZ3JpZF8yZCU1QjE1JTVEJTVCMTAlNUQpJTIwJTIwJTIzJTIwQ2VsbCUyMGF0JTIweCUzRDEwJTJDJTIweSUzRDE1",highlighted:`<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

obs = env.reset().observation
grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)

<span class="hljs-comment"># Now grid_2d[y][x] gives the cell value at position (x, y)</span>
<span class="hljs-built_in">print</span>(grid_2d[<span class="hljs-number">15</span>][<span class="hljs-number">10</span>])  <span class="hljs-comment"># Cell at x=10, y=15</span>`,lang:"python",wrap:!1}}),nl=new w({props:{title:"🎮 Actions",local:"-actions",headingTag:"h2"}}),al=new w({props:{title:"Action Types",local:"action-types",headingTag:"h3"}}),il=new w({props:{title:"1. water - Apply Water",local:"1-water---apply-water",headingTag:"h4"}}),pl=new y({props:{code:"V2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2F0ZXIlMjIlMkMlMjB4JTNEMTAlMkMlMjB5JTNEMTUp",highlighted:'WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-number">10</span>, y=<span class="hljs-number">15</span>)',lang:"python",wrap:!1}}),ml=new w({props:{title:"2. break - Create Firebreak",local:"2-break---create-firebreak",headingTag:"h4"}}),wl=new y({props:{code:"V2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyYnJlYWslMjIlMkMlMjB4JTNEMTIlMkMlMjB5JTNEMTUp",highlighted:'WildfireAction(action=<span class="hljs-string">&quot;break&quot;</span>, x=<span class="hljs-number">12</span>, y=<span class="hljs-number">15</span>)',lang:"python",wrap:!1}}),jl=new w({props:{title:"3. wait - Do Nothing",local:"3-wait---do-nothing",headingTag:"h4"}}),gl=new y({props:{code:"V2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2FpdCUyMik=",highlighted:'WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)',lang:"python",wrap:!1}}),Cl=new w({props:{title:"Invalid Actions",local:"invalid-actions",headingTag:"h3"}}),vl=new w({props:{title:"👁️ Observations",local:"-observations",headingTag:"h2"}}),El=new w({props:{title:"WildfireObservation",local:"wildfireobservation",headingTag:"h3"}}),Bl=new y({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">WildfireObservation</span>(<span class="hljs-title class_ inherited__">Observation</span>):
    grid: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]          <span class="hljs-comment"># Flat array: [1,1,2,1,...] length = width × height</span>
    width: <span class="hljs-built_in">int</span>               <span class="hljs-comment"># Grid width (default: 32)</span>
    height: <span class="hljs-built_in">int</span>              <span class="hljs-comment"># Grid height (default: 32)</span>
    step: <span class="hljs-built_in">int</span>                <span class="hljs-comment"># Current step number (0 at reset)</span>
    wind_dir: <span class="hljs-built_in">str</span>            <span class="hljs-comment"># &quot;N&quot;, &quot;NE&quot;, &quot;E&quot;, &quot;SE&quot;, &quot;S&quot;, &quot;SW&quot;, &quot;W&quot;, &quot;NW&quot;, &quot;CALM&quot;</span>
    humidity: <span class="hljs-built_in">float</span>          <span class="hljs-comment"># [0.0, 1.0] - higher = less fire spread</span>
    burning_count: <span class="hljs-built_in">int</span>       <span class="hljs-comment"># Number of cells currently on fire</span>
    burned_count: <span class="hljs-built_in">int</span>        <span class="hljs-comment"># Total number of ash cells (cumulative)</span>
    remaining_water: <span class="hljs-built_in">int</span>     <span class="hljs-comment"># Water units left</span>
    remaining_breaks: <span class="hljs-built_in">int</span>    <span class="hljs-comment"># Firebreak materials left</span>
    reward_hint: <span class="hljs-built_in">float</span>       <span class="hljs-comment"># Shaping reward (for debugging)</span>
    done: <span class="hljs-built_in">bool</span>               <span class="hljs-comment"># Episode ended?</span>
    reward: <span class="hljs-built_in">float</span>            <span class="hljs-comment"># Step reward</span>`,lang:"python",wrap:!1}}),Al=new w({props:{title:"Example Observation",local:"example-observation",headingTag:"h3"}}),kl=new y({props:{code:"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",highlighted:`result = env.reset()
obs = result.observation

<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Step: <span class="hljs-subst">{obs.step}</span>&quot;</span>)                    <span class="hljs-comment"># 0</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Grid size: <span class="hljs-subst">{obs.width}</span>x<span class="hljs-subst">{obs.height}</span>&quot;</span>) <span class="hljs-comment"># 32x32</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Grid cells: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(obs.grid)}</span>&quot;</span>)         <span class="hljs-comment"># 1024</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Active fires: <span class="hljs-subst">{obs.burning_count}</span>&quot;</span>)   <span class="hljs-comment"># 2</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Wind: <span class="hljs-subst">{obs.wind_dir}</span>&quot;</span>)                <span class="hljs-comment"># &quot;NE&quot;</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Humidity: <span class="hljs-subst">{obs.humidity:<span class="hljs-number">.2</span>f}</span>&quot;</span>)        <span class="hljs-comment"># 0.24</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Water left: <span class="hljs-subst">{obs.remaining_water}</span>&quot;</span>)   <span class="hljs-comment"># 8</span>
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Breaks left: <span class="hljs-subst">{obs.remaining_breaks}</span>&quot;</span>) <span class="hljs-comment"># 50</span>`,lang:"python",wrap:!1}}),Gl=new w({props:{title:"💰 Reward Structure",local:"-reward-structure",headingTag:"h2"}}),Rl=new w({props:{title:"Step Rewards",local:"step-rewards",headingTag:"h3"}}),Nl=new w({props:{title:"Episode End Bonuses",local:"episode-end-bonuses",headingTag:"h3"}}),Sl=new y({props:{code:"UmV3YXJkJTIwJTNEJTIwJTJCMC41JTIwJTJCJTIwMC41JTIwJUMzJTk3JTIwMS4wJTIwJTNEJTIwJTJCMS4w",highlighted:"Reward = +0.5 + 0.5 × 1.0 = +1.0",lang:"text",wrap:!1}}),xl=new w({props:{title:"Reward Interpretation",local:"reward-interpretation",headingTag:"h3"}}),Ll=new w({props:{title:"🌪️ Fire Spread Mechanics",local:"-fire-spread-mechanics",headingTag:"h2"}}),Hl=new w({props:{title:"Spread Model",local:"spread-model",headingTag:"h3"}}),Dl=new w({props:{title:"Wind Effects",local:"wind-effects",headingTag:"h3"}}),Kl=new w({props:{title:"Water Dampening Duration",local:"water-dampening-duration",headingTag:"h3"}}),Ol=new w({props:{title:"Example Fire Spread",local:"example-fire-spread",headingTag:"h3"}}),le=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">Step</span> <span class="hljs-number">0</span>:     <span class="hljs-keyword">Step</span> <span class="hljs-number">1</span>:     <span class="hljs-keyword">Step</span> <span class="hljs-number">2</span>:
🟩🟩🟩      🟩🟥🟩      🟫🟥🟫
🟩🟥🟩  →   🟥🟥🟥  →   🟥🟥🟥  (<span class="hljs-built_in">Wind</span>: E, spreading <span class="hljs-literal">east</span>)
🟩🟩🟩      🟩🟥🟩      🟫🟥🟫`,lang:"",wrap:!1}}),ee=new w({props:{title:"⚙️ Configuration",local:"-configuration",headingTag:"h2"}}),te=new w({props:{title:"Environment Variables",local:"environment-variables",headingTag:"h3"}}),ae=new w({props:{title:"Python API Configuration",local:"python-api-configuration",headingTag:"h3"}}),ie=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env.server.wildfire_environment <span class="hljs-keyword">import</span> WildfireEnvironment

env = WildfireEnvironment(
    width=<span class="hljs-number">64</span>,
    height=<span class="hljs-number">64</span>,
    humidity=<span class="hljs-number">0.3</span>,
    init_sources=<span class="hljs-number">3</span>,          <span class="hljs-comment"># Number of initial fires</span>
    max_steps=<span class="hljs-number">200</span>,
    water_capacity=<span class="hljs-number">10</span>,
    break_capacity=<span class="hljs-number">75</span>,
    seed=<span class="hljs-number">42</span>
)`,lang:"python",wrap:!1}}),re=new w({props:{title:"Docker Configuration",local:"docker-configuration",headingTag:"h3"}}),pe=new y({props:{code:"ZG9ja2VyJTIwcnVuJTIwLXAlMjA4MDAwJTNBODAwMCUyMCU1QyUwQSUyMCUyMC1lJTIwV0lMREZJUkVfV0lEVEglM0Q2NCUyMCU1QyUwQSUyMCUyMC1lJTIwV0lMREZJUkVfSEVJR0hUJTNENjQlMjAlNUMlMEElMjAlMjAtZSUyMFdJTERGSVJFX0hVTUlESVRZJTNEMC40JTIwJTVDJTBBJTIwJTIwLWUlMjBXSUxERklSRV9XSU5EJTNETiUyMCU1QyUwQSUyMCUyMC1lJTIwV0lMREZJUkVfV0FURVJfQ0FQQUNJVFklM0QxMiUyMCU1QyUwQSUyMCUyMHdpbGRmaXJlLWVudiUzQWxhdGVzdA==",highlighted:`docker run -p 8000:8000 \\
  -e WILDFIRE_WIDTH=64 \\
  -e WILDFIRE_HEIGHT=64 \\
  -e WILDFIRE_HUMIDITY=0.4 \\
  -e WILDFIRE_WIND=N \\
  -e WILDFIRE_WATER_CAPACITY=12 \\
  wildfire-env:latest`,lang:"bash",wrap:!1}}),Me=new w({props:{title:"Custom Configuration",local:"custom-configuration",headingTag:"h3"}}),Je=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Build and run with custom configuration</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .
docker build -t wildfire-env:latest -f envs/wildfire_env/server/Dockerfile .
docker run -p 8000:8000 \\
  -e ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> \\
  -e WILDFIRE_WIDTH=64 \\
  -e WILDFIRE_HEIGHT=64 \\
  -e WILDFIRE_HUMIDITY=0.5 \\
  wildfire-env:latest`,lang:"bash",wrap:!1}}),oe=new w({props:{title:"🚀 Installation & Usage",local:"-installation--usage",headingTag:"h2"}}),de=new w({props:{title:"Option 1: Docker (Recommended)",local:"option-1-docker-recommended",headingTag:"h3"}}),Te=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Build base image (first time only)</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build wildfire environment</span>
docker build -t wildfire-env:latest -f envs/wildfire_env/server/Dockerfile .

<span class="hljs-comment"># Run container</span>
docker run -p 8000:8000 -e ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> wildfire-env:latest`,lang:"bash",wrap:!1}}),ue=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Build base image (first time only)</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build wildfire environment using the script</span>
<span class="hljs-built_in">cd</span> src/envs/wildfire_env/server
./build_docker.sh

<span class="hljs-comment"># Run container</span>
docker run -d -p 8000:8000 --name wildfire-env-container wildfire-env:latest

<span class="hljs-comment"># View logs</span>
docker logs -f wildfire-env-container

<span class="hljs-comment"># Stop container</span>
docker stop wildfire-env-container

<span class="hljs-comment"># Remove container</span>
docker <span class="hljs-built_in">rm</span> wildfire-env-container`,lang:"bash",wrap:!1}}),Ue=new w({props:{title:"Option 2: Local Development (No Docker)",local:"option-2-local-development-no-docker",headingTag:"h3"}}),be=new y({props:{code:"cGlwJTIwaW5zdGFsbCUyMGZhc3RhcGklMjB1dmljb3JuJTIwbnVtcHklMjBtYXRwbG90bGliJTIwcmVxdWVzdHM=",highlighted:"pip install fastapi uvicorn numpy matplotlib requests",lang:"bash",wrap:!1}}),fe=new y({props:{code:"JTIzJTIwRnJvbSUyME9wZW5FbnYlMjByb290JTIwZGlyZWN0b3J5JTBBcHl0aG9uJTIwLW0lMjBlbnZzLndpbGRmaXJlX2Vudi5zZXJ2ZXIuYXBw",highlighted:`<span class="hljs-comment"># From OpenEnv root directory</span>
python -m envs.wildfire_env.server.app`,lang:"bash",wrap:!1}}),Ie=new y({props:{code:"V0lMREZJUkVfV0lEVEglM0Q2NCUyMFdJTERGSVJFX0hVTUlESVRZJTNEMC4zJTIwcHl0aG9uJTIwLW0lMjBlbnZzLndpbGRmaXJlX2Vudi5zZXJ2ZXIuYXBw",highlighted:"WILDFIRE_WIDTH=64 WILDFIRE_HUMIDITY=0.3 python -m envs.wildfire_env.server.app",lang:"bash",wrap:!1}}),Ce=new w({props:{title:"📚 API Reference",local:"-api-reference",headingTag:"h2"}}),$e=new w({props:{title:"Client Class",local:"client-class",headingTag:"h3"}}),We=new y({props:{code:"ZnJvbSUyMGVudnMud2lsZGZpcmVfZW52JTIwaW1wb3J0JTIwV2lsZGZpcmVFbnYlMEElMEElMjMlMjBDb25uZWN0JTIwdG8lMjBleGlzdGluZyUyMHNlcnZlciUwQWVudiUyMCUzRCUyMFdpbGRmaXJlRW52KGJhc2VfdXJsJTNEJTIyaHR0cCUzQSUyRiUyRmxvY2FsaG9zdCUzQTgwMDAlMjIpJTBBJTBBJTIzJTIwT3IlMjBjcmVhdGUlMjBmcm9tJTIwRG9ja2VyJTIwaW1hZ2UlMEFlbnYlMjAlM0QlMjBXaWxkZmlyZUVudi5mcm9tX2RvY2tlcl9pbWFnZSglMjJ3aWxkZmlyZS1lbnYlM0FsYXRlc3QlMjIp",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv

<span class="hljs-comment"># Connect to existing server</span>
env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)

<span class="hljs-comment"># Or create from Docker image</span>
env = WildfireEnv.from_docker_image(<span class="hljs-string">&quot;wildfire-env:latest&quot;</span>)`,lang:"python",wrap:!1}}),ve=new w({props:{title:"Methods",local:"methods",headingTag:"h3"}}),Ee=new w({props:{title:"reset() -> StepResult[WildfireObservation]",local:"reset--gt-stepresultwildfireobservation",headingTag:"h4"}}),Be=new y({props:{code:"cmVzdWx0JTIwJTNEJTIwZW52LnJlc2V0KCklMEFvYnMlMjAlM0QlMjByZXN1bHQub2JzZXJ2YXRpb24lMEFwcmludChmJTIyTmV3JTIwZXBpc29kZSUzQSUyMCU3Qm9icy5zdGVwJTIwJTNEJTNEJTIwMCU3RCUyMik=",highlighted:`result = env.reset()
obs = result.observation
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;New episode: <span class="hljs-subst">{obs.step == <span class="hljs-number">0</span>}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Ae=new w({props:{title:"step(action: WildfireAction) -> StepResult[WildfireObservation]",local:"stepaction-wildfireaction--gt-stepresultwildfireobservation",headingTag:"h4"}}),Ge=new y({props:{code:"YWN0aW9uJTIwJTNEJTIwV2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2F0ZXIlMjIlMkMlMjB4JTNEMTAlMkMlMjB5JTNEMTUpJTBBcmVzdWx0JTIwJTNEJTIwZW52LnN0ZXAoYWN0aW9uKSUwQXByaW50KGYlMjJSZXdhcmQlM0ElMjAlN0JyZXN1bHQucmV3YXJkJTdEJTJDJTIwRG9uZSUzQSUyMCU3QnJlc3VsdC5kb25lJTdEJTIyKQ==",highlighted:`action = WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-number">10</span>, y=<span class="hljs-number">15</span>)
result = env.step(action)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Reward: <span class="hljs-subst">{result.reward}</span>, Done: <span class="hljs-subst">{result.done}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Re=new w({props:{title:"state -> WildfireState",local:"state--gt-wildfirestate",headingTag:"h4"}}),Ne=new y({props:{code:"c3RhdGUlMjAlM0QlMjBlbnYuc3RhdGUlMEFwcmludChmJTIyRXBpc29kZSUyMElEJTNBJTIwJTdCc3RhdGUuZXBpc29kZV9pZCU3RCUyMiklMEFwcmludChmJTIyVG90YWwlMjBidXJuZWQlM0ElMjAlN0JzdGF0ZS50b3RhbF9idXJuZWQlN0QlMjIpJTBBcHJpbnQoZiUyMlRvdGFsJTIwZXh0aW5ndWlzaGVkJTNBJTIwJTdCc3RhdGUudG90YWxfZXh0aW5ndWlzaGVkJTdEJTIyKQ==",highlighted:`state = env.state
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Episode ID: <span class="hljs-subst">{state.episode_id}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Total burned: <span class="hljs-subst">{state.total_burned}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Total extinguished: <span class="hljs-subst">{state.total_extinguished}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Ve=new w({props:{title:"close()",local:"close",headingTag:"h4"}}),Ye=new y({props:{code:"ZW52LmNsb3NlKCk=",highlighted:"env.close()",lang:"python",wrap:!1}}),Se=new w({props:{title:"Data Classes",local:"data-classes",headingTag:"h3"}}),xe=new w({props:{title:"WildfireAction",local:"wildfireaction",headingTag:"h4"}}),_e=new y({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">WildfireAction</span>(<span class="hljs-title class_ inherited__">Action</span>):
    action: <span class="hljs-built_in">str</span>              <span class="hljs-comment"># &quot;water&quot; | &quot;break&quot; | &quot;wait&quot;</span>
    x: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">int</span>] = <span class="hljs-literal">None</span>  <span class="hljs-comment"># Target X coordinate (required for water/break)</span>
    y: <span class="hljs-type">Optional</span>[<span class="hljs-built_in">int</span>] = <span class="hljs-literal">None</span>  <span class="hljs-comment"># Target Y coordinate (required for water/break)</span>`,lang:"python",wrap:!1}}),He=new y({props:{code:"V2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2F0ZXIlMjIlMkMlMjB4JTNEMTAlMkMlMjB5JTNEMTUpJTBBV2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyYnJlYWslMjIlMkMlMjB4JTNEMTIlMkMlMjB5JTNEMTUpJTBBV2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2FpdCUyMiklMjAlMjAlMjMlMjB4JTJDJTIweSUyMG5vdCUyMG5lZWRlZA==",highlighted:`WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-number">10</span>, y=<span class="hljs-number">15</span>)
WildfireAction(action=<span class="hljs-string">&quot;break&quot;</span>, x=<span class="hljs-number">12</span>, y=<span class="hljs-number">15</span>)
WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)  <span class="hljs-comment"># x, y not needed</span>`,lang:"python",wrap:!1}}),Fe=new w({props:{title:"WildfireObservation",local:"wildfireobservation",headingTag:"h4"}}),De=new w({props:{title:"WildfireState",local:"wildfirestate",headingTag:"h4"}}),qe=new y({props:{code:"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",highlighted:`<span class="hljs-meta">@dataclass</span>
<span class="hljs-keyword">class</span> <span class="hljs-title class_">WildfireState</span>(<span class="hljs-title class_ inherited__">State</span>):
    episode_id: <span class="hljs-built_in">str</span>
    step_count: <span class="hljs-built_in">int</span>
    total_burned: <span class="hljs-built_in">int</span>
    total_extinguished: <span class="hljs-built_in">int</span>
    last_action: <span class="hljs-built_in">str</span>
    width: <span class="hljs-built_in">int</span>
    height: <span class="hljs-built_in">int</span>
    wind_dir: <span class="hljs-built_in">str</span>
    humidity: <span class="hljs-built_in">float</span>
    remaining_water: <span class="hljs-built_in">int</span>
    remaining_breaks: <span class="hljs-built_in">int</span>
    grid: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]
    burn_timers: <span class="hljs-type">List</span>[<span class="hljs-built_in">int</span>]`,lang:"python",wrap:!1}}),Ke=new w({props:{title:"📖 Examples",local:"-examples",headingTag:"h2"}}),Pe=new w({props:{title:"Example 1: Simple Containment Strategy",local:"example-1-simple-containment-strategy",headingTag:"h3"}}),Oe=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv, WildfireAction
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
result = env.reset()
obs = result.observation

grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)
total_reward = <span class="hljs-number">0</span>

<span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
    <span class="hljs-comment"># Find burning cells</span>
    burning_indices = np.where(grid_2d == <span class="hljs-number">2</span>)

    <span class="hljs-keyword">if</span> <span class="hljs-built_in">len</span>(burning_indices[<span class="hljs-number">0</span>]) &gt; <span class="hljs-number">0</span> <span class="hljs-keyword">and</span> obs.remaining_water &gt; <span class="hljs-number">0</span>:
        <span class="hljs-comment"># Water the first burning cell</span>
        y, x = burning_indices[<span class="hljs-number">0</span>][<span class="hljs-number">0</span>], burning_indices[<span class="hljs-number">1</span>][<span class="hljs-number">0</span>]
        action = WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-built_in">int</span>(x), y=<span class="hljs-built_in">int</span>(y))
    <span class="hljs-keyword">else</span>:
        <span class="hljs-comment"># Wait if no water or no fires</span>
        action = WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)

    result = env.step(action)
    obs = result.observation
    total_reward += result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0</span>

    <span class="hljs-comment"># Update grid</span>
    grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)

    <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Step <span class="hljs-subst">{obs.step}</span>: Burning=<span class="hljs-subst">{obs.burning_count}</span>, Reward=<span class="hljs-subst">{result.reward:<span class="hljs-number">.3</span>f}</span>&quot;</span>)

<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;\\nEpisode ended. Total reward: <span class="hljs-subst">{total_reward:<span class="hljs-number">.2</span>f}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Final stats: Burned=<span class="hljs-subst">{obs.burned_count}</span>, Extinguished=<span class="hljs-subst">{env.state.total_extinguished}</span>&quot;</span>)
env.close()`,lang:"python",wrap:!1}}),lt=new w({props:{title:"Example 2: Firebreak Strategy",local:"example-2-firebreak-strategy",headingTag:"h3"}}),et=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv, WildfireAction
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
result = env.reset()
obs = result.observation

<span class="hljs-keyword">def</span> <span class="hljs-title function_">create_firebreak_barrier</span>(<span class="hljs-params">obs, env</span>):
    <span class="hljs-string">&quot;&quot;&quot;Create firebreak ahead of fire front based on wind direction.&quot;&quot;&quot;</span>
    grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)
    wind = obs.wind_dir

    <span class="hljs-comment"># Find burning cells</span>
    burning_y, burning_x = np.where(grid_2d == <span class="hljs-number">2</span>)

    <span class="hljs-keyword">if</span> <span class="hljs-built_in">len</span>(burning_x) == <span class="hljs-number">0</span> <span class="hljs-keyword">or</span> obs.remaining_breaks == <span class="hljs-number">0</span>:
        <span class="hljs-keyword">return</span> WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)

    <span class="hljs-comment"># Calculate fire front position</span>
    <span class="hljs-keyword">if</span> wind == <span class="hljs-string">&quot;E&quot;</span>:
        target_x = <span class="hljs-built_in">int</span>(np.<span class="hljs-built_in">max</span>(burning_x)) + <span class="hljs-number">2</span>  <span class="hljs-comment"># Ahead of easternmost fire</span>
        target_y = <span class="hljs-built_in">int</span>(np.mean(burning_y))
    <span class="hljs-keyword">elif</span> wind == <span class="hljs-string">&quot;W&quot;</span>:
        target_x = <span class="hljs-built_in">int</span>(np.<span class="hljs-built_in">min</span>(burning_x)) - <span class="hljs-number">2</span>
        target_y = <span class="hljs-built_in">int</span>(np.mean(burning_y))
    <span class="hljs-keyword">elif</span> wind == <span class="hljs-string">&quot;N&quot;</span>:
        target_x = <span class="hljs-built_in">int</span>(np.mean(burning_x))
        target_y = <span class="hljs-built_in">int</span>(np.<span class="hljs-built_in">min</span>(burning_y)) - <span class="hljs-number">2</span>
    <span class="hljs-keyword">elif</span> wind == <span class="hljs-string">&quot;S&quot;</span>:
        target_x = <span class="hljs-built_in">int</span>(np.mean(burning_x))
        target_y = <span class="hljs-built_in">int</span>(np.<span class="hljs-built_in">max</span>(burning_y)) + <span class="hljs-number">2</span>
    <span class="hljs-keyword">else</span>:
        <span class="hljs-comment"># Fallback: water nearest burning cell</span>
        <span class="hljs-keyword">return</span> WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-built_in">int</span>(burning_x[<span class="hljs-number">0</span>]), y=<span class="hljs-built_in">int</span>(burning_y[<span class="hljs-number">0</span>]))

    <span class="hljs-comment"># Ensure within bounds</span>
    target_x = <span class="hljs-built_in">max</span>(<span class="hljs-number">0</span>, <span class="hljs-built_in">min</span>(obs.width - <span class="hljs-number">1</span>, target_x))
    target_y = <span class="hljs-built_in">max</span>(<span class="hljs-number">0</span>, <span class="hljs-built_in">min</span>(obs.height - <span class="hljs-number">1</span>, target_y))

    <span class="hljs-keyword">return</span> WildfireAction(action=<span class="hljs-string">&quot;break&quot;</span>, x=target_x, y=target_y)

total_reward = <span class="hljs-number">0</span>
<span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
    action = create_firebreak_barrier(obs, env)
    result = env.step(action)
    obs = result.observation
    total_reward += result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0</span>

    <span class="hljs-keyword">if</span> obs.step % <span class="hljs-number">10</span> == <span class="hljs-number">0</span>:
        <span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Step <span class="hljs-subst">{obs.step}</span>: Fires=<span class="hljs-subst">{obs.burning_count}</span>, Water=<span class="hljs-subst">{obs.remaining_water}</span>, Breaks=<span class="hljs-subst">{obs.remaining_breaks}</span>&quot;</span>)

env.close()`,lang:"python",wrap:!1}}),tt=new w({props:{title:"Example 3: Visualization with Matplotlib",local:"example-3-visualization-with-matplotlib",headingTag:"h3"}}),st=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">import</span> matplotlib.pyplot <span class="hljs-keyword">as</span> plt
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np
<span class="hljs-keyword">import</span> matplotlib.colors <span class="hljs-keyword">as</span> mcolors
<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv, WildfireAction

env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)
result = env.reset()
obs = result.observation

<span class="hljs-comment"># Setup colormap</span>
cmap = mcolors.ListedColormap([
    <span class="hljs-string">&quot;black&quot;</span>,         <span class="hljs-comment"># 0 = ash</span>
    <span class="hljs-string">&quot;green&quot;</span>,         <span class="hljs-comment"># 1 = fuel</span>
    <span class="hljs-string">&quot;red&quot;</span>,           <span class="hljs-comment"># 2 = burning</span>
    <span class="hljs-string">&quot;saddlebrown&quot;</span>,   <span class="hljs-comment"># 3 = firebreak</span>
    <span class="hljs-string">&quot;blue&quot;</span>           <span class="hljs-comment"># 4 = water</span>
])
norm = mcolors.BoundaryNorm([<span class="hljs-number">0</span>, <span class="hljs-number">1</span>, <span class="hljs-number">2</span>, <span class="hljs-number">3</span>, <span class="hljs-number">4</span>, <span class="hljs-number">5</span>], cmap.N)

fig, ax = plt.subplots(figsize=(<span class="hljs-number">8</span>, <span class="hljs-number">8</span>))
plt.ion()

<span class="hljs-keyword">for</span> step <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(<span class="hljs-number">50</span>):
    <span class="hljs-keyword">if</span> result.done:
        <span class="hljs-keyword">break</span>

    <span class="hljs-comment"># Render grid</span>
    grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)
    ax.clear()
    ax.imshow(grid_2d, cmap=cmap, norm=norm, interpolation=<span class="hljs-string">&#x27;nearest&#x27;</span>)
    ax.set_title(
        <span class="hljs-string">f&quot;Step <span class="hljs-subst">{obs.step}</span> | Fires: <span class="hljs-subst">{obs.burning_count}</span> | Burned: <span class="hljs-subst">{obs.burned_count}</span>\\n&quot;</span>
        <span class="hljs-string">f&quot;Wind: <span class="hljs-subst">{obs.wind_dir}</span> | Humidity: <span class="hljs-subst">{obs.humidity:<span class="hljs-number">.2</span>f}</span> | &quot;</span>
        <span class="hljs-string">f&quot;Water: <span class="hljs-subst">{obs.remaining_water}</span> | Breaks: <span class="hljs-subst">{obs.remaining_breaks}</span>&quot;</span>
    )
    plt.pause(<span class="hljs-number">0.1</span>)

    <span class="hljs-comment"># Take action (simple: water first burning cell)</span>
    <span class="hljs-keyword">if</span> obs.burning_count &gt; <span class="hljs-number">0</span> <span class="hljs-keyword">and</span> obs.remaining_water &gt; <span class="hljs-number">0</span>:
        burning_indices = np.where(grid_2d == <span class="hljs-number">2</span>)
        <span class="hljs-keyword">if</span> <span class="hljs-built_in">len</span>(burning_indices[<span class="hljs-number">0</span>]) &gt; <span class="hljs-number">0</span>:
            y, x = burning_indices[<span class="hljs-number">0</span>][<span class="hljs-number">0</span>], burning_indices[<span class="hljs-number">1</span>][<span class="hljs-number">0</span>]
            action = WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=<span class="hljs-built_in">int</span>(x), y=<span class="hljs-built_in">int</span>(y))
        <span class="hljs-keyword">else</span>:
            action = WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)
    <span class="hljs-keyword">else</span>:
        action = WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)

    result = env.step(action)
    obs = result.observation

plt.ioff()
plt.show()
env.close()`,lang:"python",wrap:!1}}),nt=new w({props:{title:"Example 4: Training Loop for RL",local:"example-4-training-loop-for-rl",headingTag:"h3"}}),at=new y({props:{code:"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",highlighted:`<span class="hljs-keyword">from</span> envs.wildfire_env <span class="hljs-keyword">import</span> WildfireEnv, WildfireAction
<span class="hljs-keyword">import</span> random

env = WildfireEnv(base_url=<span class="hljs-string">&quot;http://localhost:8000&quot;</span>)

num_episodes = <span class="hljs-number">10</span>
episode_rewards = []

<span class="hljs-keyword">for</span> episode <span class="hljs-keyword">in</span> <span class="hljs-built_in">range</span>(num_episodes):
    result = env.reset()
    obs = result.observation
    episode_reward = <span class="hljs-number">0</span>
    episode_steps = <span class="hljs-number">0</span>

    <span class="hljs-keyword">while</span> <span class="hljs-keyword">not</span> result.done:
        <span class="hljs-comment"># Random policy (replace with your RL agent)</span>
        <span class="hljs-keyword">if</span> random.random() &lt; <span class="hljs-number">0.4</span> <span class="hljs-keyword">and</span> obs.remaining_water &gt; <span class="hljs-number">0</span>:
            action = WildfireAction(
                action=<span class="hljs-string">&quot;water&quot;</span>,
                x=random.randint(<span class="hljs-number">0</span>, obs.width - <span class="hljs-number">1</span>),
                y=random.randint(<span class="hljs-number">0</span>, obs.height - <span class="hljs-number">1</span>)
            )
        <span class="hljs-keyword">elif</span> random.random() &lt; <span class="hljs-number">0.3</span> <span class="hljs-keyword">and</span> obs.remaining_breaks &gt; <span class="hljs-number">0</span>:
            action = WildfireAction(
                action=<span class="hljs-string">&quot;break&quot;</span>,
                x=random.randint(<span class="hljs-number">0</span>, obs.width - <span class="hljs-number">1</span>),
                y=random.randint(<span class="hljs-number">0</span>, obs.height - <span class="hljs-number">1</span>)
            )
        <span class="hljs-keyword">else</span>:
            action = WildfireAction(action=<span class="hljs-string">&quot;wait&quot;</span>)

        result = env.step(action)
        obs = result.observation
        episode_reward += result.reward <span class="hljs-keyword">or</span> <span class="hljs-number">0</span>
        episode_steps += <span class="hljs-number">1</span>

    episode_rewards.append(episode_reward)
    state = env.state
    <span class="hljs-built_in">print</span>(
        <span class="hljs-string">f&quot;Episode <span class="hljs-subst">{episode + <span class="hljs-number">1</span>}</span>: &quot;</span>
        <span class="hljs-string">f&quot;Reward=<span class="hljs-subst">{episode_reward:<span class="hljs-number">.2</span>f}</span>, &quot;</span>
        <span class="hljs-string">f&quot;Steps=<span class="hljs-subst">{episode_steps}</span>, &quot;</span>
        <span class="hljs-string">f&quot;Burned=<span class="hljs-subst">{state.total_burned}</span>, &quot;</span>
        <span class="hljs-string">f&quot;Extinguished=<span class="hljs-subst">{state.total_extinguished}</span>&quot;</span>
    )

<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;\\nAverage reward: <span class="hljs-subst">{<span class="hljs-built_in">sum</span>(episode_rewards) / <span class="hljs-built_in">len</span>(episode_rewards):<span class="hljs-number">.2</span>f}</span>&quot;</span>)
env.close()`,lang:"python",wrap:!1}}),it=new w({props:{title:"🌐 Web Interface",local:"-web-interface",headingTag:"h2"}}),pt=new w({props:{title:"Accessing the Web Interface",local:"accessing-the-web-interface",headingTag:"h3"}}),Mt=new w({props:{title:"Using Docker",local:"using-docker",headingTag:"h4"}}),Jt=new y({props:{code:"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",highlighted:`<span class="hljs-comment"># Build base image (first time only)</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Build wildfire environment</span>
docker build -t wildfire-env:latest -f envs/wildfire_env/server/Dockerfile .

<span class="hljs-comment"># Run container</span>
docker run -p 8000:8000 -e ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> wildfire-env:latest`,lang:"bash",wrap:!1}}),dt=new w({props:{title:"Local Testing (No Docker)",local:"local-testing-no-docker",headingTag:"h4"}}),mt=new y({props:{code:"JTIzJTIwRW5hYmxlJTIwd2ViJTIwaW50ZXJmYWNlJTIwd2l0aCUyMGZsYWclMEFFTkFCTEVfV0VCX0lOVEVSRkFDRSUzRHRydWUlMjBQWVRIT05QQVRIJTNEc3JjJTIwdXZpY29ybiUyMHNyYy5lbnZzLndpbGRmaXJlX2Vudi5zZXJ2ZXIuYXBwJTNBYXBwJTIwLS1yZWxvYWQlMjAtLWhvc3QlMjAwLjAuMC4wJTIwLS1wb3J0JTIwODAwMA==",highlighted:`<span class="hljs-comment"># Enable web interface with flag</span>
ENABLE_WEB_INTERFACE=<span class="hljs-literal">true</span> PYTHONPATH=src uvicorn src.envs.wildfire_env.server.app:app --reload --host 0.0.0.0 --port 8000`,lang:"bash",wrap:!1}}),Tt=new w({props:{title:"Web Interface Features",local:"web-interface-features",headingTag:"h3"}}),wt=new w({props:{title:"Left Pane: Action Interface",local:"left-pane-action-interface",headingTag:"h4"}}),ct=new w({props:{title:"Right Pane: Visual Grid & Logs",local:"right-pane-visual-grid--logs",headingTag:"h4"}}),Ut=new w({props:{title:"Additional Features",local:"additional-features",headingTag:"h4"}}),bt=new w({props:{title:"Using the Web Interface",local:"using-the-web-interface",headingTag:"h3"}}),ft=new w({props:{title:"🔧 Troubleshooting",local:"-troubleshooting",headingTag:"h2"}}),ht=new w({props:{title:"Common Issues",local:"common-issues",headingTag:"h3"}}),It=new w({props:{title:"1. Connection Errors",local:"1-connection-errors",headingTag:"h4"}}),vt=new w({props:{title:"2. Index Errors",local:"2-index-errors",headingTag:"h4"}}),Bt=new y({props:{code:"JTIzJTIwQWx3YXlzJTIwY2hlY2slMjBib3VuZHMlMjBiZWZvcmUlMjBhY2Nlc3NpbmclMEFpZiUyMDAlMjAlM0MlM0QlMjB4JTIwJTNDJTIwb2JzLndpZHRoJTIwYW5kJTIwMCUyMCUzQyUzRCUyMHklMjAlM0MlMjBvYnMuaGVpZ2h0JTNBJTBBJTIwJTIwJTIwJTIwYWN0aW9uJTIwJTNEJTIwV2lsZGZpcmVBY3Rpb24oYWN0aW9uJTNEJTIyd2F0ZXIlMjIlMkMlMjB4JTNEeCUyQyUyMHklM0R5KQ==",highlighted:`<span class="hljs-comment"># Always check bounds before accessing</span>
<span class="hljs-keyword">if</span> <span class="hljs-number">0</span> &lt;= x &lt; obs.width <span class="hljs-keyword">and</span> <span class="hljs-number">0</span> &lt;= y &lt; obs.height:
    action = WildfireAction(action=<span class="hljs-string">&quot;water&quot;</span>, x=x, y=y)`,lang:"python",wrap:!1}}),At=new w({props:{title:"3. Invalid Action Warnings",local:"3-invalid-action-warnings",headingTag:"h4"}}),Qt=new w({props:{title:"4. Grid Format Confusion",local:"4-grid-format-confusion",headingTag:"h4"}}),Xt=new y({props:{code:"JTIzJTIwQ29udmVydCUyMGZsYXQlMjBhcnJheSUyMHRvJTIwMkQlMEFncmlkXzJkJTIwJTNEJTIwbnAuYXJyYXkob2JzLmdyaWQpLnJlc2hhcGUob2JzLmhlaWdodCUyQyUyMG9icy53aWR0aCklMEElMEElMjMlMjBBY2Nlc3MlMjBjZWxsJTIwYXQlMjAoeCUyQyUyMHkpJTBBY2VsbF92YWx1ZSUyMCUzRCUyMGdyaWRfMmQlNUJ5JTVEJTVCeCU1RCUwQSUwQSUyMyUyME9yJTIwdXNlJTIwZmxhdCUyMGluZGV4JTBBaW5kZXglMjAlM0QlMjB5JTIwKiUyMG9icy53aWR0aCUyMCUyQiUyMHglMEFjZWxsX3ZhbHVlJTIwJTNEJTIwb2JzLmdyaWQlNUJpbmRleCU1RA==",highlighted:`<span class="hljs-comment"># Convert flat array to 2D</span>
grid_2d = np.array(obs.grid).reshape(obs.height, obs.width)

<span class="hljs-comment"># Access cell at (x, y)</span>
cell_value = grid_2d[y][x]

<span class="hljs-comment"># Or use flat index</span>
index = y * obs.width + x
cell_value = obs.grid[index]`,lang:"python",wrap:!1}}),Yt=new w({props:{title:"5. Docker Build Failures",local:"5-docker-build-failures",headingTag:"h4"}}),_t=new y({props:{code:"JTIzJTIwQnVpbGQlMjBiYXNlJTIwaW1hZ2UlMjBmaXJzdCUwQWRvY2tlciUyMGJ1aWxkJTIwLXQlMjBvcGVuZW52LWJhc2UlM0FsYXRlc3QlMjAtZiUyMHNyYyUyRm9wZW5lbnYlMkZjb3JlJTJGY29udGFpbmVycyUyRmltYWdlcyUyRkRvY2tlcmZpbGUlMjAuJTBBJTBBJTIzJTIwVGhlbiUyMGJ1aWxkJTIwd2lsZGZpcmUlMjBpbWFnZSUwQWRvY2tlciUyMGJ1aWxkJTIwLXQlMjB3aWxkZmlyZS1lbnYlM0FsYXRlc3QlMjAtZiUyMGVudnMlMkZ3aWxkZmlyZV9lbnYlMkZzZXJ2ZXIlMkZEb2NrZXJmaWxlJTIwLg==",highlighted:`<span class="hljs-comment"># Build base image first</span>
docker build -t openenv-base:latest -f src/openenv/core/containers/images/Dockerfile .

<span class="hljs-comment"># Then build wildfire image</span>
docker build -t wildfire-env:latest -f envs/wildfire_env/server/Dockerfile .`,lang:"bash",wrap:!1}}),Lt=new w({props:{title:"Debugging Tips",local:"debugging-tips",headingTag:"h3"}}),Ft=new y({props:{code:"ZG9ja2VyJTIwbG9ncyUyMC1mJTIwd2lsZGZpcmUtZW52LWNvbnRhaW5lcg==",highlighted:"docker logs -f wildfire-env-container",lang:"bash",wrap:!1}}),Dt=new y({props:{code:"c3RhdGUlMjAlM0QlMjBlbnYuc3RhdGUlMEFwcmludChmJTIyU3RhdGUlM0ElMjAlN0JzdGF0ZSU3RCUyMik=",highlighted:`state = env.state
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;State: <span class="hljs-subst">{state}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Kt=new y({props:{code:"b2JzJTIwJTNEJTIwZW52LnJlc2V0KCkub2JzZXJ2YXRpb24lMEFwcmludChmJTIyQm91bmRzJTNBJTIwMCUyMCUzQyUzRCUyMHglMjAlM0MlMjAlN0JvYnMud2lkdGglN0QlMkMlMjAwJTIwJTNDJTNEJTIweSUyMCUzQyUyMCU3Qm9icy5oZWlnaHQlN0QlMjIpJTBBcHJpbnQoZiUyMlJlc291cmNlcyUzQSUyMFdhdGVyJTNEJTdCb2JzLnJlbWFpbmluZ193YXRlciU3RCUyQyUyMEJyZWFrcyUzRCU3Qm9icy5yZW1haW5pbmdfYnJlYWtzJTdEJTIyKQ==",highlighted:`obs = env.reset().observation
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Bounds: 0 &lt;= x &lt; <span class="hljs-subst">{obs.width}</span>, 0 &lt;= y &lt; <span class="hljs-subst">{obs.height}</span>&quot;</span>)
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Resources: Water=<span class="hljs-subst">{obs.remaining_water}</span>, Breaks=<span class="hljs-subst">{obs.remaining_breaks}</span>&quot;</span>)`,lang:"python",wrap:!1}}),Ot=new y({props:{code:"cHJldl9ncmlkJTIwJTNEJTIwb2JzLmdyaWQuY29weSgpJTBBcmVzdWx0JTIwJTNEJTIwZW52LnN0ZXAoYWN0aW9uKSUwQW5ld19ncmlkJTIwJTNEJTIwcmVzdWx0Lm9ic2VydmF0aW9uLmdyaWQlMEFjaGFuZ2VzJTIwJTNEJTIwJTVCaSUyMGZvciUyMGklMkMlMjAoYSUyQyUyMGIpJTIwaW4lMjBlbnVtZXJhdGUoemlwKHByZXZfZ3JpZCUyQyUyMG5ld19ncmlkKSklMjBpZiUyMGElMjAhJTNEJTIwYiU1RCUwQXByaW50KGYlMjJDaGFuZ2VkJTIwY2VsbHMlM0ElMjAlN0JsZW4oY2hhbmdlcyklN0QlMjIp",highlighted:`prev_grid = obs.grid.copy()
result = env.step(action)
new_grid = result.observation.grid
changes = [i <span class="hljs-keyword">for</span> i, (a, b) <span class="hljs-keyword">in</span> <span class="hljs-built_in">enumerate</span>(<span class="hljs-built_in">zip</span>(prev_grid, new_grid)) <span class="hljs-keyword">if</span> a != b]
<span class="hljs-built_in">print</span>(<span class="hljs-string">f&quot;Changed cells: <span class="hljs-subst">{<span class="hljs-built_in">len</span>(changes)}</span>&quot;</span>)`,lang:"python",wrap:!1}}),ls=new w({props:{title:"📊 Performance Considerations",local:"-performance-considerations",headingTag:"h2"}}),es=new w({props:{title:"Grid Size Impact",local:"grid-size-impact",headingTag:"h3"}}),ss=new w({props:{title:"Resource Limits",local:"resource-limits",headingTag:"h3"}}),as=new w({props:{title:"Episode Length",local:"episode-length",headingTag:"h3"}}),rs=new w({props:{title:"🧭 References",local:"-references",headingTag:"h2"}}),ps=new w({props:{title:"Papers & Research",local:"papers--research",headingTag:"h3"}}),Js=new w({props:{title:"OpenEnv Framework",local:"openenv-framework",headingTag:"h3"}}),ds=new w({props:{title:"Related Tools",local:"related-tools",headingTag:"h3"}}),Ts=new w({props:{title:"📝 License",local:"-license",headingTag:"h2"}}),ys=new w({props:{title:"🤝 Contributing",local:"-contributing",headingTag:"h2"}}),us=new w({props:{title:"🔖 Citations",local:"-citations",headingTag:"h2"}}),Us=new y({props:{code:"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",highlighted:`<span class="language-xml">@techreport</span><span class="hljs-template-variable">{rothermel2022surface,
  title     = {The Rothermel Surface Fire Spread Model and Associated Developments}</span><span class="language-xml">,
  author    = </span><span class="hljs-template-variable">{Andrews, Patricia L. and Rothermel, Richard C.}</span><span class="language-xml">,
  year      = </span><span class="hljs-template-variable">{2022}</span><span class="language-xml">,
  institution = </span><span class="hljs-template-variable">{USDA Forest Service}</span><span class="language-xml">,
  number    = </span><span class="hljs-template-variable">{RMRS-GTR-371}</span><span class="language-xml">,
  url       = </span><span class="hljs-template-variable">{https://www.fs.usda.gov/rm/pubs_series/rmrs/gtr/rmrs_gtr371.pdf}</span><span class="language-xml">
}

@article</span><span class="hljs-template-variable">{tapley2023reinforcement,
  title   = {Reinforcement Learning for Wildfire Mitigation in Simulated Disaster Environments}</span><span class="language-xml">,
  author  = </span><span class="hljs-template-variable">{Tapley, A. and Dotter, M. and Doyle, M. and others}</span><span class="language-xml">,
  journal = </span><span class="hljs-template-variable">{arXiv preprint arXiv:2311.15925}</span><span class="language-xml">,
  year    = </span><span class="hljs-template-variable">{2023}</span><span class="language-xml">,
  url     = </span><span class="hljs-template-variable">{https://arxiv.org/abs/2311.15925}</span><span class="language-xml">
}

@misc</span><span class="hljs-template-variable">{mitrefireline2023simfire,
  author = {{MITRE Fireline Project}</span><span class="language-xml">},
  title  = </span><span class="hljs-template-variable">{SimFire: Wildfire Simulator for Decision-Support and AI Research}</span><span class="language-xml">,
  year   = </span><span class="hljs-template-variable">{2023}</span><span class="language-xml">,
  howpublished = </span><span class="hljs-template-variable">{\\url{https://github.com/mitrefireline/simfire}</span><span class="language-xml">}
}

@misc</span><span class="hljs-template-variable">{wildfire-openenv-2025,
  title  = {Wildfire Environment for OpenEnv: Containment-Focused RL Simulation}</span><span class="language-xml">,
  author = </span><span class="hljs-template-variable">{OpenEnv Contributors}</span><span class="language-xml">,
  year   = </span><span class="hljs-template-variable">{2025}</span><span class="language-xml">,
  url    = </span><span class="hljs-template-variable">{https://github.com/openenv/openenv}</span><span class="language-xml">
}</span>`,lang:"bibtex",wrap:!1}}),bs=new 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