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January 18, 2026 21:35
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Solution draft log for https://github.com/konard/p-vs-np/pull/510
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| # Solve.mjs Log - 2026-01-18T21:22:53.819Z | |
| [2026-01-18T21:22:53.820Z] [INFO] 📁 Log file: /home/hive/solve-2026-01-18T21-22-53-818Z.log | |
| [2026-01-18T21:22:53.821Z] [INFO] (All output will be logged here) | |
| [2026-01-18T21:22:54.485Z] [INFO] | |
| [2026-01-18T21:22:54.486Z] [INFO] 🚀 solve v1.4.0 | |
| [2026-01-18T21:22:54.486Z] [INFO] 🔧 Raw command executed: | |
| [2026-01-18T21:22:54.487Z] [INFO] /home/hive/.nvm/versions/node/v20.19.6/bin/node /home/hive/.bun/bin/solve https://github.com/konard/p-vs-np/issues/448 --model sonnet --tool claude --auto-fork --verbose --attach-logs --no-auto-continue --auto-resume-on-limit-reset --prefix-fork-name-with-owner-name --prompt-playwright-mcp | |
| [2026-01-18T21:22:54.487Z] [INFO] | |
| [2026-01-18T21:22:54.503Z] [INFO] | |
| [2026-01-18T21:22:54.504Z] [WARNING] ⚠️ SECURITY WARNING: --attach-logs is ENABLED | |
| [2026-01-18T21:22:54.504Z] [INFO] | |
| [2026-01-18T21:22:54.505Z] [INFO] This option will upload the complete solution draft log file to the Pull Request. | |
| [2026-01-18T21:22:54.505Z] [INFO] The log may contain sensitive information such as: | |
| [2026-01-18T21:22:54.505Z] [INFO] • API keys, tokens, or secrets | |
| [2026-01-18T21:22:54.506Z] [INFO] • File paths and directory structures | |
| [2026-01-18T21:22:54.506Z] [INFO] • Command outputs and error messages | |
| [2026-01-18T21:22:54.506Z] [INFO] • Internal system information | |
| [2026-01-18T21:22:54.507Z] [INFO] | |
| [2026-01-18T21:22:54.507Z] [INFO] ⚠️ DO NOT use this option with public repositories or if the log | |
| [2026-01-18T21:22:54.507Z] [INFO] might contain sensitive data that should not be shared publicly. | |
| [2026-01-18T21:22:54.507Z] [INFO] | |
| [2026-01-18T21:22:54.507Z] [INFO] Continuing in 5 seconds... (Press Ctrl+C to abort) | |
| [2026-01-18T21:22:54.507Z] [INFO] | |
| [2026-01-18T21:22:59.513Z] [INFO] | |
| [2026-01-18T21:22:59.542Z] [INFO] 💾 Disk space check: 28952MB available (2048MB required) ✅ | |
| [2026-01-18T21:22:59.545Z] [INFO] 🧠 Memory check: 8063MB available, swap: 4095MB (0MB used), total: 12158MB (256MB required) ✅ | |
| [2026-01-18T21:22:59.568Z] [INFO] 🔍 Validating Claude CLI connection... | |
| [2026-01-18T21:23:00.485Z] [INFO] 📦 Claude CLI version: 2.1.9 (Claude Code) | |
| [2026-01-18T21:23:06.701Z] [INFO] ✅ Claude CLI connection validated successfully | |
| [2026-01-18T21:23:07.128Z] [INFO] | |
| 🔐 Checking GitHub authentication and permissions... | |
| [2026-01-18T21:23:07.399Z] [INFO] ✅ GitHub authentication: OK | |
| [2026-01-18T21:23:07.400Z] [INFO] 📋 Token scopes: gist, read:org, repo, user, workflow | |
| [2026-01-18T21:23:07.400Z] [INFO] ✅ All required permissions: Available | |
| [2026-01-18T21:23:07.400Z] [INFO] 📋 URL validation: | |
| [2026-01-18T21:23:07.401Z] [INFO] Input URL: https://github.com/konard/p-vs-np/issues/448 | |
| [2026-01-18T21:23:07.401Z] [INFO] Is Issue URL: true | |
| [2026-01-18T21:23:07.401Z] [INFO] Is PR URL: false | |
| [2026-01-18T21:23:07.401Z] [INFO] 🔍 Checking repository access for auto-fork... | |
| [2026-01-18T21:23:08.112Z] [INFO] Repository visibility: public | |
| [2026-01-18T21:23:08.112Z] [INFO] ✅ Auto-fork: Write access detected to public repository, working directly on repository | |
| [2026-01-18T21:23:08.113Z] [INFO] 🔍 Checking repository write permissions... | |
| [2026-01-18T21:23:08.453Z] [INFO] ✅ Repository write access: Confirmed | |
| [2026-01-18T21:23:08.748Z] [INFO] Repository visibility: public | |
| [2026-01-18T21:23:08.748Z] [INFO] Auto-cleanup default: false (repository is public) | |
| [2026-01-18T21:23:08.749Z] [INFO] 📝 Issue mode: Working with issue #448 | |
| [2026-01-18T21:23:08.750Z] [INFO] | |
| Creating temporary directory: /tmp/gh-issue-solver-1768771388750 | |
| [2026-01-18T21:23:08.753Z] [INFO] | |
| 📥 Cloning repository: konard/p-vs-np | |
| [2026-01-18T21:23:10.048Z] [INFO] ✅ Cloned to: /tmp/gh-issue-solver-1768771388750 | |
| [2026-01-18T21:23:10.234Z] [INFO] | |
| 📌 Default branch: main | |
| [2026-01-18T21:23:10.296Z] [INFO] | |
| 🌿 Creating branch: issue-448-8d817a09f7fc from main (default) | |
| [2026-01-18T21:23:10.355Z] [INFO] 🔍 Verifying: Branch creation... | |
| [2026-01-18T21:23:10.399Z] [INFO] ✅ Branch created: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:10.400Z] [INFO] ✅ Current branch: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:10.400Z] [INFO] Branch operation: Create new branch | |
| [2026-01-18T21:23:10.402Z] [INFO] Branch verification: Matches expected | |
| [2026-01-18T21:23:10.406Z] [INFO] | |
| 🚀 Auto PR creation: ENABLED | |
| [2026-01-18T21:23:10.406Z] [INFO] Creating: Initial commit and draft PR... | |
| [2026-01-18T21:23:10.406Z] [INFO] | |
| [2026-01-18T21:23:10.452Z] [INFO] Using CLAUDE.md mode (--claude-file=true, --gitkeep-file=false, --auto-gitkeep-file=true) | |
| [2026-01-18T21:23:10.452Z] [INFO] 📝 Creating: CLAUDE.md with task details | |
| [2026-01-18T21:23:10.453Z] [INFO] Issue URL from argv['issue-url']: https://github.com/konard/p-vs-np/issues/448 | |
| [2026-01-18T21:23:10.453Z] [INFO] Issue URL from argv._[0]: undefined | |
| [2026-01-18T21:23:10.453Z] [INFO] Final issue URL: https://github.com/konard/p-vs-np/issues/448 | |
| [2026-01-18T21:23:10.453Z] [INFO] CLAUDE.md already exists, appending task info... | |
| [2026-01-18T21:23:10.453Z] [INFO] ✅ File created: CLAUDE.md | |
| [2026-01-18T21:23:10.454Z] [INFO] 📦 Adding file: To git staging | |
| [2026-01-18T21:23:10.581Z] [INFO] Git status after add: M CLAUDE.md | |
| [2026-01-18T21:23:10.582Z] [INFO] 📝 Creating commit: With CLAUDE.md file | |
| [2026-01-18T21:23:10.648Z] [INFO] ✅ Commit created: Successfully with CLAUDE.md | |
| [2026-01-18T21:23:10.648Z] [INFO] Commit output: [issue-448-8d817a09f7fc bd5c14f] Initial commit with task details | |
| 1 file changed, 11 insertions(+) | |
| [2026-01-18T21:23:10.690Z] [INFO] Commit hash: bd5c14f... | |
| [2026-01-18T21:23:10.728Z] [INFO] Latest commit: bd5c14f Initial commit with task details | |
| [2026-01-18T21:23:10.784Z] [INFO] Git status: clean | |
| [2026-01-18T21:23:10.823Z] [INFO] Remotes: origin https://github.com/konard/p-vs-np.git (fetch) | |
| [2026-01-18T21:23:10.869Z] [INFO] Branch info: * issue-448-8d817a09f7fc bd5c14f [origin/main: ahead 1] Initial commit with task details | |
| main a1ff7a2 [origin/main] Merge pull request #46 from konard/issue-45-a8b12fa0 | |
| [2026-01-18T21:23:10.869Z] [INFO] 📤 Pushing branch: To remote repository... | |
| [2026-01-18T21:23:10.869Z] [INFO] Push command: git push -u origin issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:11.707Z] [INFO] Push exit code: 0 | |
| [2026-01-18T21:23:11.708Z] [INFO] Push output: remote: | |
| remote: Create a pull request for 'issue-448-8d817a09f7fc' on GitHub by visiting: | |
| remote: https://github.com/konard/p-vs-np/pull/new/issue-448-8d817a09f7fc | |
| remote: | |
| To https://github.com/konard/p-vs-np.git | |
| * [new branch] issue-448-8d817a09f7fc -> issue-448-8d817a09f7fc | |
| branch 'issue-448-8d817a09f7fc' set up to track 'origin/issue-448-8d817a09f7fc'. | |
| [2026-01-18T21:23:11.708Z] [INFO] ✅ Branch pushed: Successfully to remote | |
| [2026-01-18T21:23:11.708Z] [INFO] Push output: remote: | |
| remote: Create a pull request for 'issue-448-8d817a09f7fc' on GitHub by visiting: | |
| remote: https://github.com/konard/p-vs-np/pull/new/issue-448-8d817a09f7fc | |
| remote: | |
| To https://github.com/konard/p-vs-np.git | |
| * [new branch] issue-448-8d817a09f7fc -> issue-448-8d817a09f7fc | |
| branch 'issue-448-8d817a09f7fc' set up to track 'origin/issue-448-8d817a09f7fc'. | |
| [2026-01-18T21:23:11.709Z] [INFO] Waiting for GitHub to sync... | |
| [2026-01-18T21:23:14.525Z] [INFO] Compare API check: 1 commit(s) ahead of main | |
| [2026-01-18T21:23:14.526Z] [INFO] GitHub compare API ready: 1 commit(s) found | |
| [2026-01-18T21:23:15.309Z] [INFO] Branch verified on GitHub: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:15.614Z] [INFO] Remote commit SHA: bd5c14f... | |
| [2026-01-18T21:23:15.615Z] [INFO] 📋 Getting issue: Title from GitHub... | |
| [2026-01-18T21:23:15.919Z] [INFO] Issue title: "Add formalization for attempt #43: Jerrald Meek (2008) - P≠NP" | |
| [2026-01-18T21:23:15.920Z] [INFO] 👤 Getting user: Current GitHub account... | |
| [2026-01-18T21:23:16.318Z] [INFO] Current user: konard | |
| [2026-01-18T21:23:16.559Z] [INFO] User has collaborator access | |
| [2026-01-18T21:23:16.560Z] [INFO] User has collaborator access | |
| [2026-01-18T21:23:16.560Z] [INFO] 🔄 Fetching: Latest main branch... | |
| [2026-01-18T21:23:16.885Z] [INFO] ✅ Base updated: Fetched latest main | |
| [2026-01-18T21:23:16.886Z] [INFO] 🔍 Checking: Commits between branches... | |
| [2026-01-18T21:23:16.935Z] [INFO] Commits ahead of origin/main: 1 | |
| [2026-01-18T21:23:16.936Z] [INFO] ✅ Commits found: 1 commit(s) ahead | |
| [2026-01-18T21:23:16.936Z] [INFO] 🔀 Creating PR: Draft pull request... | |
| [2026-01-18T21:23:16.936Z] [INFO] 🎯 Target branch: main (default) | |
| [2026-01-18T21:23:16.936Z] [INFO] PR Title: [WIP] Add formalization for attempt #43: Jerrald Meek (2008) - P≠NP | |
| [2026-01-18T21:23:16.937Z] [INFO] Base branch: main | |
| [2026-01-18T21:23:16.937Z] [INFO] Head branch: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:16.937Z] [INFO] Assignee: konard | |
| [2026-01-18T21:23:16.937Z] [INFO] PR Body: | |
| ## 🤖 AI-Powered Solution Draft | |
| This pull request is being automatically generated to solve issue #448. | |
| ### 📋 Issue Reference | |
| Fixes #448 | |
| ### 🚧 Status | |
| **Work in Progress** - The AI assistant is currently analyzing and implementing the solution draft. | |
| ### 📝 Implementation Details | |
| _Details will be added as the solution draft is developed..._ | |
| --- | |
| *This PR was created automatically by the AI issue solver* | |
| [2026-01-18T21:23:16.939Z] [INFO] Command: cd "/tmp/gh-issue-solver-1768771388750" && gh pr create --draft --title "$(cat '/tmp/pr-title-1768771396939.txt')" --body-file "/tmp/pr-body-1768771396939.md" --base main --head issue-448-8d817a09f7fc --assignee konard | |
| [2026-01-18T21:23:20.003Z] [INFO] 🔍 Verifying: PR creation... | |
| [2026-01-18T21:23:20.327Z] [INFO] ✅ Verification: PR exists on GitHub | |
| [2026-01-18T21:23:20.327Z] [INFO] ✅ PR created: #510 | |
| [2026-01-18T21:23:20.327Z] [INFO] 📍 PR URL: https://github.com/konard/p-vs-np/pull/510 | |
| [2026-01-18T21:23:20.327Z] [INFO] 👤 Assigned to: konard | |
| [2026-01-18T21:23:20.328Z] [INFO] 🔗 Linking: Issue #448 to PR #510... | |
| [2026-01-18T21:23:20.667Z] [INFO] Issue node ID: I_kwDOQBQH6M7kGyRm | |
| [2026-01-18T21:23:21.016Z] [INFO] PR node ID: PR_kwDOQBQH6M694zHF | |
| [2026-01-18T21:23:21.598Z] [INFO] | |
| [2026-01-18T21:23:21.598Z] [WARNING] ⚠️ ISSUE LINK MISSING: PR not linked to issue | |
| [2026-01-18T21:23:21.599Z] [INFO] | |
| [2026-01-18T21:23:21.599Z] [WARNING] The PR wasn't linked to issue #448 | |
| [2026-01-18T21:23:21.599Z] [WARNING] Expected: "Fixes #448" in PR body | |
| [2026-01-18T21:23:21.599Z] [INFO] | |
| [2026-01-18T21:23:21.599Z] [WARNING] To fix manually: | |
| [2026-01-18T21:23:21.600Z] [WARNING] 1. Edit the PR description at: https://github.com/konard/p-vs-np/pull/510 | |
| [2026-01-18T21:23:21.600Z] [WARNING] 2. Ensure it contains: Fixes #448 | |
| [2026-01-18T21:23:21.600Z] [INFO] | |
| [2026-01-18T21:23:21.898Z] [INFO] 👤 Current user: konard | |
| [2026-01-18T21:23:21.899Z] [INFO] | |
| 📊 Comment counting conditions: | |
| [2026-01-18T21:23:21.899Z] [INFO] prNumber: 510 | |
| [2026-01-18T21:23:21.900Z] [INFO] branchName: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:21.900Z] [INFO] isContinueMode: false | |
| [2026-01-18T21:23:21.901Z] [INFO] Will count comments: true | |
| [2026-01-18T21:23:21.901Z] [INFO] 💬 Counting comments: Checking for new comments since last commit... | |
| [2026-01-18T21:23:21.901Z] [INFO] PR #510 on branch: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:21.901Z] [INFO] Owner/Repo: konard/p-vs-np | |
| [2026-01-18T21:23:22.323Z] [INFO] 📅 Last commit time (from API): 2026-01-18T21:23:10.000Z | |
| [2026-01-18T21:23:23.431Z] [INFO] 💬 New PR comments: 0 | |
| [2026-01-18T21:23:23.431Z] [INFO] 💬 New PR review comments: 0 | |
| [2026-01-18T21:23:23.432Z] [INFO] 💬 New issue comments: 0 | |
| [2026-01-18T21:23:23.432Z] [INFO] Total new comments: 0 | |
| [2026-01-18T21:23:23.432Z] [INFO] Comment lines to add: No (saving tokens) | |
| [2026-01-18T21:23:23.433Z] [INFO] PR review comments fetched: 0 | |
| [2026-01-18T21:23:23.433Z] [INFO] PR conversation comments fetched: 0 | |
| [2026-01-18T21:23:23.433Z] [INFO] Total PR comments checked: 0 | |
| [2026-01-18T21:23:23.433Z] [INFO] No feedback info to add (0 new items, saving tokens) | |
| [2026-01-18T21:23:23.434Z] [INFO] 📅 Getting timestamps: From GitHub servers... | |
| [2026-01-18T21:23:23.764Z] [INFO] 📝 Issue updated: 2026-01-18T16:30:44.000Z | |
| [2026-01-18T21:23:24.097Z] [INFO] 💬 Comments: None found | |
| [2026-01-18T21:23:24.423Z] [INFO] 🔀 Recent PR: 2026-01-18T21:23:18.000Z | |
| [2026-01-18T21:23:24.424Z] [INFO] | |
| ✅ Reference time: 2026-01-18T21:23:18.000Z | |
| [2026-01-18T21:23:24.424Z] [INFO] | |
| 🔍 Checking for uncommitted changes to include as feedback... | |
| [2026-01-18T21:23:24.489Z] [INFO] ✅ No uncommitted changes found | |
| [2026-01-18T21:23:26.534Z] [INFO] 🎭 Playwright MCP detected - enabling browser automation hints | |
| [2026-01-18T21:23:26.539Z] [INFO] | |
| 📝 Final prompt structure: | |
| [2026-01-18T21:23:26.540Z] [INFO] Characters: 255 | |
| [2026-01-18T21:23:26.540Z] [INFO] System prompt characters: 11809 | |
| [2026-01-18T21:23:26.542Z] [INFO] | |
| 🤖 Executing Claude: SONNET | |
| [2026-01-18T21:23:26.543Z] [INFO] Model: sonnet | |
| [2026-01-18T21:23:26.543Z] [INFO] Working directory: /tmp/gh-issue-solver-1768771388750 | |
| [2026-01-18T21:23:26.543Z] [INFO] Branch: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:26.544Z] [INFO] Prompt length: 255 chars | |
| [2026-01-18T21:23:26.545Z] [INFO] System prompt length: 11809 chars | |
| [2026-01-18T21:23:26.545Z] [INFO] Feedback info included: No | |
| [2026-01-18T21:23:26.598Z] [INFO] 📈 System resources before execution: | |
| [2026-01-18T21:23:26.599Z] [INFO] Memory: MemFree: 2707088 kB | |
| [2026-01-18T21:23:26.599Z] [INFO] Load: 1.78 2.88 2.05 1/514 186369 | |
| [2026-01-18T21:23:26.599Z] [INFO] | |
| 📝 Raw command: | |
| [2026-01-18T21:23:26.599Z] [INFO] (cd "/tmp/gh-issue-solver-1768771388750" && claude --output-format stream-json --verbose --dangerously-skip-permissions --model claude-sonnet-4-5-20250929 -p "Issue to solve: https://github.com/konard/p-vs-np/issues/448 | |
| Your prepared branch: issue-448-8d817a09f7fc | |
| Your prepared working directory: /tmp/gh-issue-solver-1768771388750 | |
| Your prepared Pull Request: https://github.com/konard/p-vs-np/pull/510 | |
| Proceed. | |
| " --append-system-prompt "You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo konard/p-vs-np --branch issue-448-8d817a09f7fc --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo konard/p-vs-np --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says \"failing\" but tools show \"passing\", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to experiments folder. | |
| - When your experiments can show real world use case of the software, add it to examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's HTML 404 pages saved as .png) can cause \"Could not process image\" errors and may crash the AI solver process. If the file command shows \"HTML\" or \"text\", the download failed and you should retry or skip the image. | |
| - When you need issue details, use gh issue view https://github.com/konard/p-vs-np/issues/448. | |
| - When you need related code, use gh search code --owner konard [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/konard/p-vs-np/pulls/510/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/konard/p-vs-np/issues/510/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/konard/p-vs-np/pulls/510/reviews --paginate | |
| IMPORTANT: The command \"gh pr view --json comments\" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/konard/p-vs-np/issues/448/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 510 --body \"your message\" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo konard/p-vs-np --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 510, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 510. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-448-8d817a09f7fc. | |
| - When you finish, create a pull request from branch issue-448-8d817a09f7fc. (Note: PR 510 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-448-8d817a09f7fc. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 510 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body \"text\" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/\${owner}/\${repo}/pulls/\${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| - When you finish using the browser, always close it with browser_close to free resources." | jq -c .) | |
| [2026-01-18T21:23:26.600Z] [INFO] | |
| [2026-01-18T21:23:26.600Z] [INFO] 📋 User prompt: | |
| [2026-01-18T21:23:26.600Z] [INFO] ---BEGIN USER PROMPT--- | |
| [2026-01-18T21:23:26.601Z] [INFO] Issue to solve: https://github.com/konard/p-vs-np/issues/448 | |
| Your prepared branch: issue-448-8d817a09f7fc | |
| Your prepared working directory: /tmp/gh-issue-solver-1768771388750 | |
| Your prepared Pull Request: https://github.com/konard/p-vs-np/pull/510 | |
| Proceed. | |
| [2026-01-18T21:23:26.601Z] [INFO] ---END USER PROMPT--- | |
| [2026-01-18T21:23:26.601Z] [INFO] | |
| [2026-01-18T21:23:26.601Z] [INFO] 📋 System prompt: | |
| [2026-01-18T21:23:26.601Z] [INFO] ---BEGIN SYSTEM PROMPT--- | |
| [2026-01-18T21:23:26.602Z] [INFO] You are an AI issue solver. You prefer to find the root cause of each and every issue. When you talk, you prefer to speak with facts which you have double-checked yourself or cite sources that provide evidence, like quote actual code or give references to documents or pages found on the internet. You are polite and patient, and prefer to assume good intent, trying your best to be helpful. If you are unsure or have assumptions, you prefer to test them yourself or ask questions to clarify requirements. | |
| General guidelines. | |
| - When you execute commands, always save their logs to files for easier reading if the output becomes large. | |
| - When running commands, do not set a timeout yourself — let them run as long as needed (default timeout - 2 minutes is more than enough), and once they finish, review the logs in the file. | |
| - When running sudo commands (especially package installations like apt-get, yum, npm install, etc.), always run them in the background to avoid timeout issues and permission errors when the process needs to be killed. Use the run_in_background parameter or append & to the command. | |
| - When CI is failing or user reports failures, consider adding a detailed investigation protocol to your todo list with these steps: | |
| Step 1: List recent runs with timestamps using: gh run list --repo konard/p-vs-np --branch issue-448-8d817a09f7fc --limit 5 --json databaseId,conclusion,createdAt,headSha | |
| Step 2: Verify runs are after the latest commit by checking timestamps and SHA | |
| Step 3: For each non-passing run, download logs to preserve them: gh run view {run-id} --repo konard/p-vs-np --log > ci-logs/{workflow}-{run-id}.log | |
| Step 4: Read each downloaded log file using Read tool to understand the actual failures | |
| Step 5: Report findings with specific errors and line numbers from logs | |
| This detailed investigation is especially helpful when user mentions CI failures, asks to investigate logs, you see non-passing status, or when finalizing a PR. | |
| Note: If user says "failing" but tools show "passing", this might indicate stale data - consider downloading fresh logs and checking timestamps to resolve the discrepancy. | |
| - When a code or log file has more than 1500 lines, read it in chunks of 1500 lines. | |
| - When facing a complex problem, do as much tracing as possible and turn on all verbose modes. | |
| - When you create debug, test, or example/experiment scripts for fixing, always keep them in an examples and/or experiments folders so you can reuse them later. | |
| - When testing your assumptions, use the experiment scripts, and add it to experiments folder. | |
| - When your experiments can show real world use case of the software, add it to examples folder. | |
| - When you face something extremely hard, use divide and conquer — it always helps. | |
| Initial research. | |
| - When you start, make sure you create detailed plan for yourself and follow your todo list step by step, make sure that as many points from these guidelines are added to your todo list to keep track of everything that can help you solve the issue with highest possible quality. | |
| - When user mentions CI failures or asks to investigate logs, consider adding these todos to track the investigation: (1) List recent CI runs with timestamps, (2) Download logs from failed runs to ci-logs/ directory, (3) Analyze error messages and identify root cause, (4) Implement fix, (5) Verify fix resolves the specific errors found in logs. | |
| - When you read issue, read all details and comments thoroughly. | |
| - When you see screenshots or images in issue descriptions, pull request descriptions, comments, or discussions, use WebFetch tool (or fetch tool) to download the image first, then use Read tool to view and analyze it. IMPORTANT: Before reading downloaded images with the Read tool, verify the file is a valid image (not HTML). Use a CLI tool like 'file' command to check the actual file format. Reading corrupted or non-image files (like GitHub's HTML 404 pages saved as .png) can cause "Could not process image" errors and may crash the AI solver process. If the file command shows "HTML" or "text", the download failed and you should retry or skip the image. | |
| - When you need issue details, use gh issue view https://github.com/konard/p-vs-np/issues/448. | |
| - When you need related code, use gh search code --owner konard [keywords]. | |
| - When you need repo context, read files in your working directory. | |
| - When you study related work, study the most recent related pull requests. | |
| - When issue is not defined enough, write a comment to ask clarifying questions. | |
| - When accessing GitHub Gists (especially private ones), use gh gist view command instead of direct URL fetching to ensure proper authentication. | |
| - When you are fixing a bug, please make sure you first find the actual root cause, do as many experiments as needed. | |
| - When you are fixing a bug and code does not have enough tracing/logs, add them and make sure they stay in the code, but are switched off by default. | |
| - When you need comments on a pull request, note that GitHub has THREE different comment types with different API endpoints: | |
| 1. PR review comments (inline code comments): gh api repos/konard/p-vs-np/pulls/510/comments --paginate | |
| 2. PR conversation comments (general discussion): gh api repos/konard/p-vs-np/issues/510/comments --paginate | |
| 3. PR reviews (approve/request changes): gh api repos/konard/p-vs-np/pulls/510/reviews --paginate | |
| IMPORTANT: The command "gh pr view --json comments" ONLY returns conversation comments and misses review comments! | |
| - When you need latest comments on issue, use gh api repos/konard/p-vs-np/issues/448/comments --paginate. | |
| Solution development and testing. | |
| - When issue is solvable, implement code with tests. | |
| - When implementing features, search for similar existing implementations in the codebase and use them as examples instead of implementing everything from scratch. | |
| - When coding, each atomic step that can be useful by itself should be commited to the pull request's branch, meaning if work will be interrupted by any reason parts of solution will still be kept intact and safe in pull request. | |
| - When you test: | |
| start from testing of small functions using separate scripts; | |
| write unit tests with mocks for easy and quick start. | |
| - When you test integrations, use existing framework. | |
| - When you test solution draft, include automated checks in pr. | |
| - When issue is unclear, write comment on issue asking questions. | |
| - When you encounter any problems that you unable to solve yourself (any human feedback or help), write a comment to the pull request asking for help. | |
| - When you need human help, use gh pr comment 510 --body "your message" to comment on existing PR. | |
| Preparing pull request. | |
| - When you code, follow contributing guidelines. | |
| - When you commit, write clear message. | |
| - When you need examples of style, use gh pr list --repo konard/p-vs-np --state merged --search [keywords]. | |
| - When you open pr, describe solution draft and include tests. | |
| - When there is a package with version and GitHub Actions workflows for automatic release, update the version (or other necessary release trigger) in your pull request to prepare for next release. | |
| - When you update existing pr 510, use gh pr edit to modify title and description. | |
| - When you are about to commit or push code, ALWAYS run local CI checks first if they are available in contributing guidelines (like ruff check, mypy, eslint, etc.) to catch errors before pushing. | |
| - When you finalize the pull request: | |
| follow style from merged prs for code, title, and description, | |
| make sure no uncommitted changes corresponding to the original requirements are left behind, | |
| make sure the default branch is merged to the pull request's branch, | |
| make sure all CI checks passing if they exist before you finish, | |
| check for latest comments on the issue and pull request to ensure no recent feedback was missed, | |
| double-check that all changes in the pull request answer to original requirements of the issue, | |
| make sure no new new bugs are introduced in pull request by carefully reading gh pr diff, | |
| make sure no previously existing features were removed without an explicit request from users via the issue description, issue comments, and/or pull request comments. | |
| - When you finish implementation, use gh pr ready 510. | |
| Workflow and collaboration. | |
| - When you check branch, verify with git branch --show-current. | |
| - When you push, push only to branch issue-448-8d817a09f7fc. | |
| - When you finish, create a pull request from branch issue-448-8d817a09f7fc. (Note: PR 510 already exists, update it instead) | |
| - When you organize workflow, use pull requests instead of direct merges to default branch (main or master). | |
| - When you manage commits, preserve commit history for later analysis. | |
| - When you contribute, keep repository history forward-moving with regular commits, pushes, and reverts if needed. | |
| - When you face conflict that you cannot resolve yourself, ask for help. | |
| - When you collaborate, respect branch protections by working only on issue-448-8d817a09f7fc. | |
| - When you mention result, include pull request url or comment url. | |
| - When you need to create pr, remember pr 510 already exists for this branch. | |
| Self review. | |
| - When you check your solution draft, run all tests locally. | |
| - When you check your solution draft, verify git status shows a clean working tree with no uncommitted changes. | |
| - When you compare with repo style, use gh pr diff [number]. | |
| - When you finalize, confirm code, tests, and description are consistent. | |
| GitHub CLI command patterns. | |
| - IMPORTANT: Always use --paginate flag when fetching lists from GitHub API to ensure all results are returned (GitHub returns max 30 per page by default). | |
| - When listing PR review comments (inline code comments), use gh api repos/OWNER/REPO/pulls/NUMBER/comments --paginate. | |
| - When listing PR conversation comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When listing PR reviews, use gh api repos/OWNER/REPO/pulls/NUMBER/reviews --paginate. | |
| - When listing issue comments, use gh api repos/OWNER/REPO/issues/NUMBER/comments --paginate. | |
| - When adding PR comment, use gh pr comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When adding issue comment, use gh issue comment NUMBER --body "text" --repo OWNER/REPO. | |
| - When viewing PR details, use gh pr view NUMBER --repo OWNER/REPO. | |
| - When filtering with jq, use gh api repos/${owner}/${repo}/pulls/${prNumber}/comments --paginate --jq 'reverse | .[0:5]'. | |
| Playwright MCP usage (browser automation via mcp__playwright__* tools). | |
| - When you develop frontend web applications (HTML, CSS, JavaScript, React, Vue, Angular, etc.), use Playwright MCP tools to test the UI in a real browser. | |
| - When WebFetch tool fails to retrieve expected content (e.g., returns empty content, JavaScript-rendered pages, or login-protected pages), use Playwright MCP tools (browser_navigate, browser_snapshot) as a fallback for web browsing. | |
| - When you need to interact with dynamic web pages that require JavaScript execution, use Playwright MCP tools. | |
| - When you need to visually verify how a web page looks or take screenshots, use browser_take_screenshot from Playwright MCP. | |
| - When you need to fill forms, click buttons, or perform user interactions on web pages, use Playwright MCP tools (browser_click, browser_type, browser_fill_form). | |
| - When you need to test responsive design or different viewport sizes, use browser_resize from Playwright MCP. | |
| - When you finish using the browser, always close it with browser_close to free resources. | |
| [2026-01-18T21:23:26.602Z] [INFO] ---END SYSTEM PROMPT--- | |
| [2026-01-18T21:23:26.602Z] [INFO] | |
| [2026-01-18T21:23:26.603Z] [INFO] 📊 CLAUDE_CODE_MAX_OUTPUT_TOKENS: 64000 | |
| [2026-01-18T21:23:26.604Z] [INFO] 📋 Command details: | |
| [2026-01-18T21:23:26.604Z] [INFO] 📂 Working directory: /tmp/gh-issue-solver-1768771388750 | |
| [2026-01-18T21:23:26.604Z] [INFO] 🌿 Branch: issue-448-8d817a09f7fc | |
| [2026-01-18T21:23:26.605Z] [INFO] 🤖 Model: Claude SONNET | |
| [2026-01-18T21:23:26.605Z] [INFO] | |
| ▶️ Streaming output: | |
| [2026-01-18T21:23:28.962Z] [INFO] { | |
| "type": "system", | |
| "subtype": "init", | |
| "cwd": "/tmp/gh-issue-solver-1768771388750", | |
| "session_id": "2954d7b7-69dc-47ba-8480-68d209f4978b", | |
| "tools": [ | |
| "Task", | |
| "TaskOutput", | |
| "Bash", | |
| "Glob", | |
| "Grep", | |
| "ExitPlanMode", | |
| "Read", | |
| "Edit", | |
| "Write", | |
| "NotebookEdit", | |
| "WebFetch", | |
| "TodoWrite", | |
| "WebSearch", | |
| "KillShell", | |
| "AskUserQuestion", | |
| "Skill", | |
| "EnterPlanMode", | |
| "MCPSearch", | |
| "mcp__playwright__browser_close", | |
| "mcp__playwright__browser_resize", | |
| "mcp__playwright__browser_console_messages", | |
| "mcp__playwright__browser_handle_dialog", | |
| "mcp__playwright__browser_evaluate", | |
| "mcp__playwright__browser_file_upload", | |
| "mcp__playwright__browser_fill_form", | |
| "mcp__playwright__browser_install", | |
| "mcp__playwright__browser_press_key", | |
| "mcp__playwright__browser_type", | |
| "mcp__playwright__browser_navigate", | |
| "mcp__playwright__browser_navigate_back", | |
| "mcp__playwright__browser_network_requests", | |
| "mcp__playwright__browser_run_code", | |
| "mcp__playwright__browser_take_screenshot", | |
| "mcp__playwright__browser_snapshot", | |
| "mcp__playwright__browser_click", | |
| "mcp__playwright__browser_drag", | |
| "mcp__playwright__browser_hover", | |
| "mcp__playwright__browser_select_option", | |
| "mcp__playwright__browser_tabs", | |
| "mcp__playwright__browser_wait_for" | |
| ], | |
| "mcp_servers": [ | |
| { | |
| "name": "playwright", | |
| "status": "connected" | |
| } | |
| ], | |
| "model": "claude-sonnet-4-5-20250929", | |
| "permissionMode": "bypassPermissions", | |
| "slash_commands": [ | |
| "compact", | |
| "context", | |
| "cost", | |
| "init", | |
| "pr-comments", | |
| "release-notes", | |
| "review", | |
| "security-review" | |
| ], | |
| "apiKeySource": "none", | |
| "claude_code_version": "2.1.9", | |
| "output_style": "default", | |
| "agents": [ | |
| "Bash", | |
| "general-purpose", | |
| "statusline-setup", | |
| "Explore", | |
| "Plan" | |
| ], | |
| "skills": [], | |
| "plugins": [], | |
| "uuid": "e867225e-b188-45f8-a11d-23502fbfa883" | |
| } | |
| [2026-01-18T21:23:28.962Z] [INFO] 📌 Session ID: 2954d7b7-69dc-47ba-8480-68d209f4978b | |
| [2026-01-18T21:23:28.963Z] [INFO] 📁 Log renamed to: /home/hive/2954d7b7-69dc-47ba-8480-68d209f4978b.log | |
| [2026-01-18T21:23:31.342Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-sonnet-4-5-20250929", | |
| "id": "msg_01UmX5uu5U7F5jvigc3q1jJv", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "text", | |
| "text": "I'll start by gathering information about the issue and creating a plan to solve it." | |
| } | |
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| "stop_reason": null, | |
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| "cache_creation_input_tokens": 6402, | |
| "cache_read_input_tokens": 18966, | |
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| "ephemeral_1h_input_tokens": 0 | |
| }, | |
| "output_tokens": 3, | |
| "service_tier": "standard" | |
| }, | |
| "context_management": null | |
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| "parent_tool_use_id": null, | |
| "session_id": "2954d7b7-69dc-47ba-8480-68d209f4978b", | |
| "uuid": "1995bb9c-b623-4737-8ee1-65ecd030f767" | |
| } | |
| [2026-01-18T21:23:33.136Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-sonnet-4-5-20250929", | |
| "id": "msg_01UmX5uu5U7F5jvigc3q1jJv", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
| { | |
| "type": "tool_use", | |
| "id": "toolu_01Jd35B6UBa58aX3RrBXV2HP", | |
| "name": "Bash", | |
| "input": { | |
| "command": "gh issue view https://github.com/konard/p-vs-np/issues/448 --json title,body,comments --jq '{title,body,comments: [.comments[] | {author: .author.login, body: .body, createdAt: .createdAt}]}'", | |
| "description": "Fetch issue details" | |
| } | |
| } | |
| ], | |
| "stop_reason": null, | |
| "stop_sequence": null, | |
| "usage": { | |
| "input_tokens": 2, | |
| "cache_creation_input_tokens": 6402, | |
| "cache_read_input_tokens": 18966, | |
| "cache_creation": { | |
| "ephemeral_5m_input_tokens": 6402, | |
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| "service_tier": "standard" | |
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| "context_management": null | |
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| "parent_tool_use_id": null, | |
| "session_id": "2954d7b7-69dc-47ba-8480-68d209f4978b", | |
| "uuid": "5dcb5dbe-5078-4864-aaad-17aed745db87" | |
| } | |
| [2026-01-18T21:23:34.215Z] [INFO] { | |
| "type": "assistant", | |
| "message": { | |
| "model": "claude-sonnet-4-5-20250929", | |
| "id": "msg_01UmX5uu5U7F5jvigc3q1jJv", | |
| "type": "message", | |
| "role": "assistant", | |
| "content": [ | |
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| [2026-01-18T21:25:46.704Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01L8yzZon6yLqeQdaoKDH3z6","type":"tool_result","content":" 1→# Arto Annila (2009) - P≠NP Attempt\n 2→\n 3→**Attempt ID**: 50\n 4→**Author**: Arto Annila\n 5→**Year**: 2009 (published 2012)\n 6→**Claim**: P ≠ NP\n 7→**Paper**: \"Physical portrayal of computational complexity\"\n 8→**Source**: [arXiv:0906.1084](https://arxiv.org/abs/0906.1084), ISRN Computational Mathematics, 2012, ID: 321372, pp. 1-15\n 9→**Listed on**: [Woeginger's P versus NP page](https://wscor.win.tue.nl/woeginger/P-versus-NP.htm) (Entry #50)\n 10→\n 11→## Summary\n 12→\n 13→Arto Annila attempts to prove P ≠ NP by using a **thermodynamic and physical entropy perspective** on computational complexity. The author argues that computational processes can be understood through the lens of thermodynamic state space evolution and dissipative transformations.\n 14→\n 15→### Main Claim\n 16→\n 17→> \"The state space of a non-deterministic finite automaton is evolving due to the computation itself hence it cannot be efficiently contracted using a deterministic finite automaton that will arrive at a solution in super-polynomial time. The solution of the NP problem itself is verifiable in polynomial time (P) because the corresponding state is stationary.\"\n 18→\n 19→In other words, Annila claims that:\n 20→1. NP problems have **dynamically evolving state spaces** during computation\n 21→2. P algorithms can **efficiently contract** to solutions via deterministic sequences\n 22→3. This fundamental difference in state space behavior implies P ≠ NP\n 23→\n 24→## The Argument\n 25→\n 26→### Core Approach\n 27→\n 28→Annila frames computational complexity through thermodynamic principles:\n 29→\n 30→1. **Non-deterministic computation (NP)**:\n 31→ - State space evolves during computation\n 32→ - Computational decisions affect subsequent decision sets dynamically\n 33→ - Cannot be efficiently contracted by deterministic means\n 34→ - Requires \"super-polynomial time\" for deterministic solution\n 35→\n 36→2. **Deterministic computation (P)**:\n 37→ - Achieves solution through \"deterministic sequence of dissipative transformations\"\n 38→ - State space can be efficiently contracted\n 39→ - Solution is \"stationary\" and verifiable in polynomial time\n 40→\n 41→3. **Physical Interpretation**:\n 42→ - Computational time is \"proportional to dissipation\"\n 43→ - Complexity is related to entropy and state space contraction\n 44→ - P is inherently a subset of NP based on energy transformation principles\n 45→\n 46→### Key Claims\n 47→\n 48→1. State spaces in NP evolve during computation itself\n 49→2. Deterministic finite automata cannot efficiently contract these evolving state spaces\n 50→3. The \"stationary\" nature of P solutions enables polynomial-time verification\n 51→4. Therefore, P ⊂ NP (strict subset)\n 52→\n 53→## The Error\n 54→\n 55→### Critical Flaw: Lack of Formal Mathematical Proof\n 56→\n 57→The fundamental error in Annila's attempt is that **it provides a physical/philosophical interpretation rather than a rigorous mathematical proof**. The attempt suffers from several critical issues:\n 58→\n 59→### 1. **Informal Physical Analogies**\n 60→\n 61→The paper uses thermodynamic concepts (entropy, dissipation, state space evolution) as **metaphors** for computational complexity, but does not:\n 62→- Provide formal definitions in computational complexity theory terms\n 63→- Establish rigorous mathematical mappings between physical and computational concepts\n 64→- Prove that the physical intuitions translate to formal computational statements\n 65→\n 66→### 2. **Undefined or Imprecise Terms**\n 67→\n 68→Key terms are not formally defined in computational complexity theory:\n 69→- \"State space evolution during computation\" - unclear what this means formally\n 70→- \"Efficient contraction\" - not defined in complexity-theoretic terms\n 71→- \"Dissipative transformations\" - no formal computational definition\n 72→- \"Stationary state\" - vague in computational context\n 73→\n 74→### 3. **Missing Computational Model**\n 75→\n 76→The argument does not:\n 77→- Work within a standard computational model (Turing machines, circuits, etc.)\n 78→- Formally define the relationship between NP non-determinism and \"state space evolution\"\n 79→- Prove that NP state spaces cannot be \"contracted\" deterministically in polynomial time\n 80→- Show why physical entropy considerations impose computational lower bounds\n 81→\n 82→### 4. **Circular Reasoning**\n 83→\n 84→The argument essentially assumes what it tries to prove:\n 85→- Claims NP state spaces \"cannot be efficiently contracted\" by P algorithms\n 86→- This is essentially **restating P ≠ NP**, not proving it\n 87→- No formal proof is given that efficient contraction is impossible\n 88→\n 89→### 5. **Confusion of Verification and Decision**\n 90→\n 91→The claim about \"stationary states\" being verifiable in polynomial time confuses:\n 92→- **Verification** (checking a solution with a certificate) - defines NP\n 93→- **Decision** (finding a solution) - defines P\n 94→- The paper does not rigorously show why verification implies anything about decision complexity\n 95→\n 96→### 6. **No Barrier Analysis**\n 97→\n 98→The approach does not address or overcome known barriers to proving P ≠ NP:\n 99→- **Relativization**: Would the thermodynamic argument relativize?\n 100→- **Natural Proofs**: Does the argument use properties that would be \"natural proofs\"?\n 101→- **Algebrization**: How does the physical perspective avoid algebrization barriers?\n 102→\n 103→## Formalization Approach\n 104→\n 105→Our formalization attempts to:\n 106→\n 107→1. **Extract** any formalizable claims from the physical metaphors\n 108→2. **Identify** where the informal reasoning breaks down\n 109→3. **Demonstrate** that the core claims either:\n 110→ - Are trivial/tautological (restating definitions)\n 111→ - Are unprovable without additional assumptions\n 112→ - Rely on informal physical intuitions that don't translate to formal proofs\n 113→\n 114→## Formalization Status\n 115→\n 116→### Coq (`coq/AnnilaAttempt.v`)\n 117→- Models basic computational complexity classes (P, NP)\n 118→- Attempts to formalize \"state space evolution\" claims\n 119→- **Identifies the gap**: No way to prove state spaces \"cannot be contracted\" without assuming P ≠ NP\n 120→\n 121→### Lean (`lean/AnnilaAttempt.lean`)\n 122→- Formalizes the structure of the argument\n 123→- Shows where informal physical reasoning would need formal proof\n 124→- **Identifies the gap**: Physical intuitions are not formal computational proofs\n 125→\n 126→### Isabelle (`isabelle/AnnilaAttempt.thy`)\n 127→- Provides a structured representation of the attempted proof\n 128→- Clearly marks where additional (unprovable) assumptions would be needed\n 129→- **Identifies the gap**: The \"thermodynamic contraction\" claim is unproven\n 130→\n 131→## Conclusion\n 132→\n 133→Annila's attempt is **not a valid proof** of P ≠ NP because:\n 134→\n 135→1. ❌ Uses informal physical metaphors instead of formal computational definitions\n 136→2. ❌ Does not work within a standard computational model\n 137→3. ❌ Assumes (rather than proves) that NP state spaces cannot be efficiently contracted\n 138→4. ❌ Provides no rigorous mathematical proof of the core claims\n 139→5. ❌ Does not address known barriers to proving P ≠ NP\n 140→\n 141→### What This Shows\n 142→\n 143→This formalization demonstrates an important lesson: **physical intuitions and metaphors**, while potentially useful for understanding, **are not substitutes for rigorous mathematical proofs** in computational complexity theory. A valid proof of P ≠ NP must:\n 144→- Work within formal computational models\n 145→- Provide rigorous mathematical arguments\n 146→- Address or circumvent known proof barriers\n 147→\n 148→## References\n 149→\n 150→1. Annila, A. (2009). \"Physical portrayal of computational complexity\", arXiv:0906.1084\n 151→2. Annila, A. (2012). \"Physical portrayal of computational complexity\", ISRN Computational Mathematics, ID: 321372, pp. 1-15\n 152→3. Woeginger, G. J. \"The P-versus-NP page\", https://wscor.win.tue.nl/woeginger/P-versus-NP.htm\n 153→4. Cook, S. A. (1971). \"The complexity of theorem-proving procedures\", STOC 1971\n 154→5. Aaronson, S., Wigderson, A. (2008). \"Algebrization: A New Barrier in Complexity Theory\", STOC 2008\n 155→\n 156→## Related Work\n 157→\n 158→- [proofs/p_not_equal_np/](../../p_not_equal_np/README.md) - Framework for verifying P ≠ NP proof attempts\n 159→- [P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md](../../../P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md) - Catalog of valid approaches\n 160→- [TOOLS_AND_METHODOLOGIES.md](../../../TOOLS_AND_METHODOLOGIES.md) - Tools for formal verification\n 161→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"2954d7b7-69dc-47ba-8480-68d209f4978b","uuid":"2ab99fa4-87e3-4c25-ae5c-a61e85a00ecd","tool_use_result":{"type":"text","file":{"filePath":"/tmp/gh-issue-solver-1768771388750/proofs/attempts/arto-annila-2009-pneqnp/README.md","content":"# Arto Annila (2009) - P≠NP Attempt\n\n**Attempt ID**: 50\n**Author**: Arto Annila\n**Year**: 2009 (published 2012)\n**Claim**: P ≠ NP\n**Paper**: \"Physical portrayal of computational complexity\"\n**Source**: [arXiv:0906.1084](https://arxiv.org/abs/0906.1084), ISRN Computational Mathematics, 2012, ID: 321372, pp. 1-15\n**Listed on**: [Woeginger's P versus NP page](https://wscor.win.tue.nl/woeginger/P-versus-NP.htm) (Entry #50)\n\n## Summary\n\nArto Annila attempts to prove P ≠ NP by using a **thermodynamic and physical entropy perspective** on computational complexity. The author argues that computational processes can be understood through the lens of thermodynamic state space evolution and dissipative transformations.\n\n### Main Claim\n\n> \"The state space of a non-deterministic finite automaton is evolving due to the computation itself hence it cannot be efficiently contracted using a deterministic finite automaton that will arrive at a solution in super-polynomial time. The solution of the NP problem itself is verifiable in polynomial time (P) because the corresponding state is stationary.\"\n\nIn other words, Annila claims that:\n1. NP problems have **dynamically evolving state spaces** during computation\n2. P algorithms can **efficiently contract** to solutions via deterministic sequences\n3. This fundamental difference in state space behavior implies P ≠ NP\n\n## The Argument\n\n### Core Approach\n\nAnnila frames computational complexity through thermodynamic principles:\n\n1. **Non-deterministic computation (NP)**:\n - State space evolves during computation\n - Computational decisions affect subsequent decision sets dynamically\n - Cannot be efficiently contracted by deterministic means\n - Requires \"super-polynomial time\" for deterministic solution\n\n2. **Deterministic computation (P)**:\n - Achieves solution through \"deterministic sequence of dissipative transformations\"\n - State space can be efficiently contracted\n - Solution is \"stationary\" and verifiable in polynomial time\n\n3. **Physical Interpretation**:\n - Computational time is \"proportional to dissipation\"\n - Complexity is related to entropy and state space contraction\n - P is inherently a subset of NP based on energy transformation principles\n\n### Key Claims\n\n1. State spaces in NP evolve during computation itself\n2. Deterministic finite automata cannot efficiently contract these evolving state spaces\n3. The \"stationary\" nature of P solutions enables polynomial-time verification\n4. Therefore, P ⊂ NP (strict subset)\n\n## The Error\n\n### Critical Flaw: Lack of Formal Mathematical Proof\n\nThe fundamental error in Annila's attempt is that **it provides a physical/philosophical interpretation rather than a rigorous mathematical proof**. The attempt suffers from several critical issues:\n\n### 1. **Informal Physical Analogies**\n\nThe paper uses thermodynamic concepts (entropy, dissipation, state space evolution) as **metaphors** for computational complexity, but does not:\n- Provide formal definitions in computational complexity theory terms\n- Establish rigorous mathematical mappings between physical and computational concepts\n- Prove that the physical intuitions translate to formal computational statements\n\n### 2. **Undefined or Imprecise Terms**\n\nKey terms are not formally defined in computational complexity theory:\n- \"State space evolution during computation\" - unclear what this means formally\n- \"Efficient contraction\" - not defined in complexity-theoretic terms\n- \"Dissipative transformations\" - no formal computational definition\n- \"Stationary state\" - vague in computational context\n\n### 3. **Missing Computational Model**\n\nThe argument does not:\n- Work within a standard computational model (Turing machines, circuits, etc.)\n- Formally define the relationship between NP non-determinism and \"state space evolution\"\n- Prove that NP state spaces cannot be \"contracted\" deterministically in polynomial time\n- Show why physical entropy considerations impose computational lower bounds\n\n### 4. **Circular Reasoning**\n\nThe argument essentially assumes what it tries to prove:\n- Claims NP state spaces \"cannot be efficiently contracted\" by P algorithms\n- This is essentially **restating P ≠ NP**, not proving it\n- No formal proof is given that efficient contraction is impossible\n\n### 5. **Confusion of Verification and Decision**\n\nThe claim about \"stationary states\" being verifiable in polynomial time confuses:\n- **Verification** (checking a solution with a certificate) - defines NP\n- **Decision** (finding a solution) - defines P\n- The paper does not rigorously show why verification implies anything about decision complexity\n\n### 6. **No Barrier Analysis**\n\nThe approach does not address or overcome known barriers to proving P ≠ NP:\n- **Relativization**: Would the thermodynamic argument relativize?\n- **Natural Proofs**: Does the argument use properties that would be \"natural proofs\"?\n- **Algebrization**: How does the physical perspective avoid algebrization barriers?\n\n## Formalization Approach\n\nOur formalization attempts to:\n\n1. **Extract** any formalizable claims from the physical metaphors\n2. **Identify** where the informal reasoning breaks down\n3. **Demonstrate** that the core claims either:\n - Are trivial/tautological (restating definitions)\n - Are unprovable without additional assumptions\n - Rely on informal physical intuitions that don't translate to formal proofs\n\n## Formalization Status\n\n### Coq (`coq/AnnilaAttempt.v`)\n- Models basic computational complexity classes (P, NP)\n- Attempts to formalize \"state space evolution\" claims\n- **Identifies the gap**: No way to prove state spaces \"cannot be contracted\" without assuming P ≠ NP\n\n### Lean (`lean/AnnilaAttempt.lean`)\n- Formalizes the structure of the argument\n- Shows where informal physical reasoning would need formal proof\n- **Identifies the gap**: Physical intuitions are not formal computational proofs\n\n### Isabelle (`isabelle/AnnilaAttempt.thy`)\n- Provides a structured representation of the attempted proof\n- Clearly marks where additional (unprovable) assumptions would be needed\n- **Identifies the gap**: The \"thermodynamic contraction\" claim is unproven\n\n## Conclusion\n\nAnnila's attempt is **not a valid proof** of P ≠ NP because:\n\n1. ❌ Uses informal physical metaphors instead of formal computational definitions\n2. ❌ Does not work within a standard computational model\n3. ❌ Assumes (rather than proves) that NP state spaces cannot be efficiently contracted\n4. ❌ Provides no rigorous mathematical proof of the core claims\n5. ❌ Does not address known barriers to proving P ≠ NP\n\n### What This Shows\n\nThis formalization demonstrates an important lesson: **physical intuitions and metaphors**, while potentially useful for understanding, **are not substitutes for rigorous mathematical proofs** in computational complexity theory. A valid proof of P ≠ NP must:\n- Work within formal computational models\n- Provide rigorous mathematical arguments\n- Address or circumvent known proof barriers\n\n## References\n\n1. Annila, A. (2009). \"Physical portrayal of computational complexity\", arXiv:0906.1084\n2. Annila, A. (2012). \"Physical portrayal of computational complexity\", ISRN Computational Mathematics, ID: 321372, pp. 1-15\n3. Woeginger, G. J. \"The P-versus-NP page\", https://wscor.win.tue.nl/woeginger/P-versus-NP.htm\n4. Cook, S. A. (1971). \"The complexity of theorem-proving procedures\", STOC 1971\n5. Aaronson, S., Wigderson, A. (2008). \"Algebrization: A New Barrier in Complexity Theory\", STOC 2008\n\n## Related Work\n\n- [proofs/p_not_equal_np/](../../p_not_equal_np/README.md) - Framework for verifying P ≠ NP proof attempts\n- [P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md](../../../P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md) - Catalog of valid approaches\n- [TOOLS_AND_METHODOLOGIES.md](../../../TOOLS_AND_METHODOLOGIES.md) - Tools for formal verification\n","numLines":161," | |
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| "text": "Perfect! Now let me check one of the formalization files to understand the format better." | |
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| [2026-01-18T21:25:51.421Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01S1VAGzmDuBuKvKuYv5yqvU","type":"tool_result","content":" 1→/-\n 2→ Formalization of Arto Annila's 2009 Attempt to Prove P ≠ NP\n 3→\n 4→ Paper: \"Physical portrayal of computational complexity\" (arXiv:0906.1084)\n 5→\n 6→ This formalization demonstrates where Annila's thermodynamic/physical\n 7→ approach to proving P ≠ NP breaks down when translated to formal\n 8→ computational complexity theory.\n 9→-/\n 10→\n 11→namespace AnnilaAttempt\n 12→\n 13→/-\n 14→ Basic definitions for computational complexity classes\n 15→-/\n 16→\n 17→-- A language is a set of natural numbers (representing strings)\n 18→def Language := Nat → Prop\n 19→\n 20→-- Time complexity function\n 21→def TimeComplexity := Nat → Nat\n 22→\n 23→-- Polynomial time bound\n 24→def PolynomialTime (f : TimeComplexity) : Prop :=\n 25→ ∃ c k : Nat, ∀ n : Nat, f n ≤ c * (n ^ k) + c\n 26→\n 27→-- Language is in P\n 28→def InP (L : Language) : Prop :=\n 29→ ∃ (M : Nat → Bool) (t : TimeComplexity),\n 30→ PolynomialTime t ∧\n 31→ ∀ x : Nat, L x ↔ M x = true\n 32→\n 33→-- Language is in NP (with verifier)\n 34→def InNP (L : Language) : Prop :=\n 35→ ∃ (V : Nat → Nat → Bool) (t : TimeComplexity),\n 36→ PolynomialTime t ∧\n 37→ ∀ x : Nat, L x ↔ ∃ c : Nat, V x c = true\n 38→\n 39→/-\n 40→ Annila's Attempt: Physical/Thermodynamic Metaphors\n 41→\n 42→ Annila claims to prove P ≠ NP using concepts from thermodynamics:\n 43→ - \"State space evolution\"\n 44→ - \"Efficient contraction\"\n 45→ - \"Dissipative transformations\"\n 46→ - \"Stationary states\"\n 47→\n 48→ We attempt to formalize these, revealing the gaps in the argument.\n 49→-/\n 50→\n 51→-- Attempt to model \"state space\"\n 52→def StateSpace := Type\n 53→\n 54→-- \"State space evolution\" - transition between computational states\n 55→def StateEvolution (S : Type) := S → S → Prop\n 56→\n 57→/-\n 58→ CRITICAL GAP #1: Undefined Physical-to-Computational Mapping\n 59→\n 60→ Annila uses physical terms without formal computational definitions.\n 61→-/\n 62→\n 63→-- \"Efficient contraction\" - Annila claims this distinguishes P from NP\n 64→-- But the definition is never made rigorous\n 65→structure EfficientContraction (S : Type) where\n 66→ contract : S → Nat\n 67→ time : TimeComplexity\n 68→ is_poly : PolynomialTime time\n 69→\n 70→-- \"Stationary state\" for verification\n 71→-- This is mentioned but never formally defined\n 72→axiom stationary_state_verification : ∀ (L : Language),\n 73→ InNP L → ∃ (state : Nat → Prop), True\n 74→\n 75→/-\n 76→ CRITICAL GAP #2: Circular Reasoning\n 77→\n 78→ The key claim: \"NP state spaces cannot be efficiently contracted\n 79→ by deterministic algorithms\"\n 80→\n 81→ But this is EQUIVALENT to saying P ≠ NP! It's not a proof, it's\n 82→ restating what needs to be proven.\n 83→-/\n 84→\n 85→-- If we assume NP cannot be efficiently contracted, we're assuming P ≠ NP\n 86→-- Note: This axiom is intentionally circular - it assumes what it tries to prove\n 87→-- axiom np_not_contractible : ∀ (L : Language),\n 88→-- InNP L → ¬ ∃ (ec : EfficientContraction Nat), True\n 89→-- Commented out due to circular reasoning and syntax issues with existential type\n 90→\n 91→/-\n 92→ Attempting Annila's Argument Structure:\n 93→\n 94→ 1. NP problems have \"evolving state spaces\" (undefined)\n 95→ 2. These cannot be \"efficiently contracted\" deterministically (unproven)\n 96→ 3. P problems can be \"efficiently contracted\" (assumed)\n 97→ 4. Therefore P ≠ NP (circular)\n 98→-/\n 99→\n 100→-- The circular argument formalized\n 101→-- Note: This lemma demonstrates the circular reasoning in Annila's approach\n 102→-- lemma annila_circular_argument\n 103→-- (h_np : ∀ L, InNP L → ¬ ∃ (ec : EfficientContraction Nat), True)\n 104→-- (h_p : ∀ L, InP L → ∃ (ec : EfficientContraction Nat), True) :\n 105→-- ¬ (∀ L, InP L ↔ InNP L) := by\n 106→-- intro h_eq\n 107→-- sorry\n 108→-- Commented out: The hypotheses assume what needs to be proven (P ≠ NP)\n 109→\n 110→/-\n 111→ CRITICAL GAP #3: No Bridge from Physics to Computation\n 112→\n 113→ Annila discusses thermodynamic concepts that are never connected\n 114→ to computational complexity in a rigorous way.\n 115→-/\n 116→\n 117→-- Physical concepts mentioned but not formalized\n 118→def PhysicalDissipation := Nat → Nat\n 119→def ComputationalTime := Nat → Nat\n 120→\n 121→-- Annila claims these are related, but provides no proof\n 122→-- Note: This axiom expresses an unproven relationship between\n 123→-- physical dissipation and computational time complexity\n 124→-- Annila claims physical dissipation and computational time are related\n 125→-- This axiom expresses that relationship\n 126→-- Note: The axiom states that there exist functions mapping dissipation to time\n 127→axiom dissipation_time_relation :\n 128→ ∃ (f : Nat → Nat) (g : Nat → Nat), ∀ n : Nat, f n = g n\n 129→\n 130→-- \"State space evolution due to computation\" - what does this mean formally?\n 131→-- axiom state_space_evolves_in_np :\n 132→-- ∀ (L : Language), InNP L →\n 133→-- ∃ (evolution : StateEvolution Nat), True\n 134→-- Commented out: Undefined concept - \"state space evolution\" lacks formal definition\n 135→\n 136→/-\n 137→ CRITICAL GAP #4: Verification vs Decision Confusion\n 138→\n 139→ Annila discusses polynomial-time verification but doesn't distinguish\n 140→ it properly from polynomial-time decision.\n 141→-/\n 142→\n 143→-- The fact that NP has polynomial-time verification is its DEFINITION\n 144→-- Note: Uses sorry because obtain/rcases tactics require additional imports\n 145→theorem np_has_poly_verification (L : Language) :\n 146→ InNP L → ∃ (V : Nat → Nat → Bool) (t : TimeComplexity), PolynomialTime t := by\n 147→ sorry\n 148→\n 149→/-\n 150→ CRITICAL GAP #5: No Barrier Analysis\n 151→\n 152→ Known barriers to proving P ≠ NP:\n 153→ - Relativization (Baker-Gill-Solovay)\n 154→ - Natural Proofs (Razborov-Rudich)\n 155→ - Algebrization (Aaronson-Wigderson)\n 156→\n 157→ Annila's approach does not address any of these barriers.\n 158→-/\n 159→\n 160→/-\n 161→ CONCLUSION: Where the Proof Fails\n 162→\n 163→ When we attempt to formalize Annila's argument, we find:\n 164→\n 165→ 1. **Undefined terms**: \"State space evolution\", \"efficient contraction\"\n 166→ 2. **Circular reasoning**: Claims equivalent to P ≠ NP are used as axioms\n 167→ 3. **No rigorous bridge**: Physical intuitions don't translate to proofs\n 168→ 4. **Missing proofs**: Key claims are stated without justification\n 169→ 5. **No barrier analysis**: Known obstacles are not addressed\n 170→-/\n 171→\n 172→-- The \"theorem\" we CANNOT prove from Annila's approach\n 173→theorem annila_p_neq_np : ¬ (∀ L, InP L ↔ InNP L) := by\n 174→ sorry\n 175→\n 176→/-\n 177→ What Would Be Needed for a Valid Proof:\n 178→\n 179→ 1. **Formal definitions**: All concepts in computational terms\n 180→ 2. **Rigorous arguments**: Mathematical proofs, not physical intuitions\n 181→ 3. **Standard models**: Work within Turing machines, circuits, etc.\n 182→ 4. **Barrier awareness**: Address or circumvent known proof obstacles\n 183→-/\n 184→\n 185→-- Example: P is a subset of NP would be provable with complete proofs (for comparison)\n 186→-- This shows what a valid proof looks like, unlike Annila's approach\n 187→axiom p_subset_np : ∀ L, InP L → InNP L\n 188→\n 189→/-\n 190→ Educational Value:\n 191→\n 192→ This formalization demonstrates that INFORMAL PHYSICAL INTUITIONS,\n 193→ no matter how compelling, are not substitutes for RIGOROUS MATHEMATICAL PROOFS.\n 194→\n 195→ Valid work on P vs NP must use formal computational models and provide\n 196→ rigorous proofs of all claims.\n 197→-/\n 198→\n 199→end AnnilaAttempt\n 200→\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n"}]},"parent_tool_use_id":null,"session_id":"2954d7b7-69dc-47ba-8480-68d209f4978b","uuid":"eaef29e3-cd5e-4271-a160-d9e0f9e85802","tool_use_result":{"type":"text","file":{"filePath":"/tmp/gh-issue-solver-1768771388750/proofs/attempts/arto-annila-2009-pneqnp/lean/AnnilaAttempt.lean","content":"/-\n Formalization of Arto Annila's 2009 Attempt to Prove P ≠ NP\n\n Paper: \"Physical portrayal of computational complexity\" (arXiv:0906.1084)\n\n This formalization demonstrates where Annila's thermodynamic/physical\n approach to proving P ≠ NP breaks down when translated to formal\n computational complexity theory.\n-/\n\nnamespace AnnilaAttempt\n\n/-\n Basic definitions for computational complexity classes\n-/\n\n-- A language is a set of natural numbers (representing strings)\ndef Language := Nat → Prop\n\n-- Time complexity function\ndef TimeComplexity := Nat → Nat\n\n-- Polynomial time bound\ndef PolynomialTime (f : TimeComplexity) : Prop :=\n ∃ c k : Nat, ∀ n : Nat, f n ≤ c * (n ^ k) + c\n\n-- Language is in P\ndef InP (L : Language) : Prop :=\n ∃ (M : Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ M x = true\n\n-- Language is in NP (with verifier)\ndef InNP (L : Language) : Prop :=\n ∃ (V : Nat → Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ ∃ c : Nat, V x c = true\n\n/-\n Annila's Attempt: Physical/Thermodynamic Metaphors\n\n Annila claims to prove P ≠ NP using concepts from thermodynamics:\n - \"State space evolution\"\n - \"Efficient contraction\"\n - \"Dissipative transformations\"\n - \"Stationary states\"\n\n We attempt to formalize these, revealing the gaps in the argument.\n-/\n\n-- Attempt to model \"state space\"\ndef StateSpace := Type\n\n-- \"State space evolution\" - transition between computational states\ndef StateEvolution (S : Type) := S → S → Prop\n\n/-\n CRITICAL GAP #1: Undefined Physical-to-Computational Mapping\n\n Annila uses physical terms without formal computational definitions.\n-/\n\n-- \"Efficient contraction\" - Annila claims this distinguishes P from NP\n-- But the definition is never made rigorous\nstructure EfficientContraction (S : Type) where\n contract : S → Nat\n time : TimeComplexity\n is_poly : PolynomialTime time\n\n-- \"Stationary state\" for verification\n-- This is mentioned but never formally defined\naxiom stationary_state_verification : ∀ (L : Language),\n InNP L → ∃ (state : Nat → Prop), True\n\n/-\n CRITICAL GAP #2: Circular Reasoning\n\n The key claim: \"NP state spaces cannot be efficiently contracted\n by deterministic algorithms\"\n\n But this is EQUIVALENT to saying P ≠ NP! It's not a proof, it's\n restating what needs to be proven.\n-/\n\n-- If we assume NP cannot be efficiently contracted, we're assuming P ≠ NP\n-- Note: This axiom is intentionally circular - it assumes what it tries to prove\n-- axiom np_not_contractible : ∀ (L : Language),\n-- InNP L → ¬ ∃ (ec : EfficientContraction Nat), True\n-- Commented out due to circular reasoning and syntax issues with existential type\n\n/-\n Attempting Annila's Argument Structure:\n\n 1. NP problems have \"evolving state spaces\" (undefined)\n 2. These cannot be \"efficiently contracted\" deterministically (unproven)\n 3. P problems can be \"efficiently contracted\" (assumed)\n 4. Therefore P ≠ NP (circular)\n-/\n\n-- The circular argument formalized\n-- Note: This lemma demonstrates the circular reasoning in Annila's approach\n-- lemma annila_circular_argument\n-- (h_np : ∀ L, InNP L → ¬ ∃ (ec : EfficientContraction Nat), True)\n-- (h_p : ∀ L, InP L → ∃ (ec : EfficientContraction Nat), True) :\n-- ¬ (∀ L, InP L ↔ InNP L) := by\n-- intro h_eq\n-- sorry\n-- Commented out: The hypotheses assume what needs to be proven (P ≠ NP)\n\n/-\n CRITICAL GAP #3: No Bridge from Physics to Computation\n\n Annila discusses thermodynamic concepts that are never connected\n to computational complexity in a rigorous way.\n-/\n\n-- Physical concepts mentioned but not formalized\ndef PhysicalDissipation := Nat → Nat\ndef ComputationalTime := Nat → Nat\n\n-- Annila claims these are related, but provides no proof\n-- Note: This axiom expresses an unproven relationship between\n-- physical dissipation and computational time complexity\n-- Annila claims physical dissipation and computational time are related\n-- This axiom expresses that relationship\n-- Note: The axiom states that there exist functions mapping dissipation to time\naxiom dissipation_time_relation :\n ∃ (f : Nat → Nat) (g : Nat → Nat), ∀ n : Nat, f n = g n\n\n-- \"State space evolution due to computation\" - what does this mean formally?\n-- axiom state_space_evolves_in_np :\n-- ∀ (L : Language), InNP L →\n-- ∃ (evolution : StateEvolution Nat), True\n-- Commented out: Undefined concept - \"state space evolution\" lacks formal definition\n\n/-\n CRITICAL GAP #4: Verification vs Decision Confusion\n\n Annila discusses polynomial-time verification but doesn't distinguish\n it properly from polynomial-time decision.\n-/\n\n-- The fact that NP has polynomial-time verification is its DEFINITION\n-- Note: Uses sorry because obtain/rcases tactics require additional imports\ntheorem np_has_poly_verification (L : Language) :\n InNP L → ∃ (V : Nat → Nat → Bool) (t : T | |
| [2026-01-18T21:25:51.424Z] [INFO] imeComplexity), PolynomialTime t := by\n sorry\n\n/-\n CRITICAL GAP #5: No Barrier Analysis\n\n Known barriers to proving P ≠ NP:\n - Relativization (Baker-Gill-Solovay)\n - Natural Proofs (Razborov-Rudich)\n - Algebrization (Aaronson-Wigderson)\n\n Annila's approach does not address any of these barriers.\n-/\n\n/-\n CONCLUSION: Where the Proof Fails\n\n When we attempt to formalize Annila's argument, we find:\n\n 1. **Undefined terms**: \"State space evolution\", \"efficient contraction\"\n 2. **Circular reasoning**: Claims equivalent to P ≠ NP are used as axioms\n 3. **No rigorous bridge**: Physical intuitions don't translate to proofs\n 4. **Missing proofs**: Key claims are stated without justification\n 5. **No barrier analysis**: Known obstacles are not addressed\n-/\n\n-- The \"theorem\" we CANNOT prove from Annila's approach\ntheorem annila_p_neq_np : ¬ (∀ L, InP L ↔ InNP L) := by\n sorry\n\n/-\n What Would Be Needed for a Valid Proof:\n\n 1. **Formal definitions**: All concepts in computational terms\n 2. **Rigorous arguments**: Mathematical proofs, not physical intuitions\n 3. **Standard models**: Work within Turing machines, circuits, etc.\n 4. **Barrier awareness**: Address or circumvent known proof obstacles\n-/\n\n-- Example: P is a subset of NP would be provable with complete proofs (for comparison)\n-- This shows what a valid proof looks like, unlike Annila's approach\naxiom p_subset_np : ∀ L, InP L → InNP L\n\n/-\n Educational Value:\n\n This formalization demonstrates that INFORMAL PHYSICAL INTUITIONS,\n no matter how compelling, are not substitutes for RIGOROUS MATHEMATICAL PROOFS.\n\n Valid work on P vs NP must use formal computational models and provide\n rigorous proofs of all claims.\n-/\n\nend AnnilaAttempt\n","numLines":200,"startLine":1,"totalLines":200}}} | |
| [2026-01-18T21:25:54.913Z] [INFO] { | |
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| "text": "Excellent! Now I understand the format. Let me update the todo and start researching attempt #43 by Jerrald Meek." | |
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| "content": "Mark PR as ready for review", | |
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| [2026-01-18T21:26:01.933Z] [INFO] { | |
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| "activeForm": "Creating Isabelle formalization in isabelle/ folder" | |
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| "content": "Include formal refutation proof in formalizations", | |
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| "content": "Run local CI checks if available", | |
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| "status": "pending", | |
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| "content": "Mark PR as ready for review", | |
| "status": "pending", | |
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| "content": "Add original paper to paper/ folder", | |
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| "activeForm": "Creating Lean formalization in lean/ folder" | |
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| { | |
| "content": "Create Coq formalization in coq/ folder", | |
| "status": "pending", | |
| "activeForm": "Creating Coq formalization in coq/ folder" | |
| }, | |
| { | |
| "content": "Create Isabelle formalization in isabelle/ folder", | |
| "status": "pending", | |
| "activeForm": "Creating Isabelle formalization in isabelle/ folder" | |
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| { | |
| "content": "Include formal refutation proof in formalizations", | |
| "status": "pending", | |
| "activeForm": "Including formal refutation proof in formalizations" | |
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| { | |
| "content": "Run local CI checks if available", | |
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| "activeForm": "Running local CI checks if available" | |
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| "content": "Review and finalize PR description", | |
| "status": "pending", | |
| "activeForm": "Reviewing and finalizing PR description" | |
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| { | |
| "content": "Mark PR as ready for review", | |
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| "activeForm": "Marking PR as ready for review" | |
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| [2026-01-18T21:26:04.827Z] [INFO] { | |
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| { | |
| "type": "text", | |
| "text": "Now let me search for information about Jerrald Meek's 2008 attempt. I'll check Woeginger's list first." | |
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| "url": "https://wscor.win.tue.nl/woeginger/P-versus-NP.htm", | |
| "prompt": "Find entry #43 for Jerrald Meek's 2008 attempt on P vs NP. Extract the title, author, year, claim (P=NP or P≠NP), and any references or links to the paper." | |
| } | |
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| [2026-01-18T21:26:10.190Z] [INFO] { | |
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| "content": "# Entry #43: Jerrald Meek (2008)\n\n**Title:** \"P is a proper subset of NP\"\n\n**Author:** Jerrald Meek\n\n**Year:** April 2008\n\n**Claim:** P ≠ NP\n\n**Paper Link:** http://arxiv.org/abs/0804.1079\n\n**Summary of Argument:**\n\nMeek's approach demonstrates that as clause counts in NP-complete problems approach infinity, \"the number of input sets processed per computations performed also approaches infinity when solved by a polynomial time solution.\" The author contends that any deterministic polynomial optimization must examine only a polynomial subset of possible inputs. By showing at least one NP-complete problem cannot satisfy this constraint, Meek concludes P forms a proper subset of NP." | |
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| "codeText": "OK", | |
| "result": "# Entry #43: Jerrald Meek (2008)\n\n**Title:** \"P is a proper subset of NP\"\n\n**Author:** Jerrald Meek\n\n**Year:** April 2008\n\n**Claim:** P ≠ NP\n\n**Paper Link:** http://arxiv.org/abs/0804.1079\n\n**Summary of Argument:**\n\nMeek's approach demonstrates that as clause counts in NP-complete problems approach infinity, \"the number of input sets processed per computations performed also approaches infinity when solved by a polynomial time solution.\" The author contends that any deterministic polynomial optimization must examine only a polynomial subset of possible inputs. By showing at least one NP-complete problem cannot satisfy this constraint, Meek concludes P forms a proper subset of NP.", | |
| "durationMs": 3082, | |
| "url": "https://wscor.win.tue.nl/woeginger/P-versus-NP.htm" | |
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| "type": "message", | |
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| { | |
| "type": "text", | |
| "text": "Excellent! Now let me fetch the paper from arXiv." | |
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| [2026-01-18T21:26:14.136Z] [INFO] { | |
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| "input": { | |
| "url": "https://arxiv.org/abs/0804.1079", | |
| "prompt": "Extract the title, abstract, and any available information about Jerrald Meek's paper on P vs NP from 2008. Include the arXiv ID and any publication details." | |
| } | |
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| [2026-01-18T21:26:18.726Z] [INFO] { | |
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| { | |
| "tool_use_id": "toolu_018BUe4SDniffST2ZZr2NX5k", | |
| "type": "tool_result", | |
| "content": "# Jerrald Meek's P vs NP Paper (2008)\n\n**arXiv ID:** 0804.1079\n\n**Title:** \"P is a proper subset of NP\"\n\n**Author:** Jerrald Meek\n\n**Submission Date:** April 7, 2008 (with final revision September 7, 2008)\n\n**Abstract Summary:**\nThe paper argues that P and NP are distinct complexity classes. The author contends that as NP-complete problem clauses increase, the computational input sets processed also grow infinitely under polynomial-time solutions. Meek claims any deterministic optimization proving P=NP would need to examine merely a polynomial number of input sets. The work asserts that partitioning all possible inputs into a representative polynomial search subset constitutes an FEXP-complexity problem, leading to the conclusion that \"P =/= NP.\"\n\n**Additional Details:**\n- Length: 17 pages\n- Field: Computational Complexity (cs.CC)\n- Status: This represents version 12, with 11 prior revisions between April-September 2008\n\n**Note:** While archived on arXiv, this work represents an independent attempt to resolve the P versus NP problem, which remains one of mathematics' most significant unsolved questions." | |
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| "codeText": "OK", | |
| "result": "# Jerrald Meek's P vs NP Paper (2008)\n\n**arXiv ID:** 0804.1079\n\n**Title:** \"P is a proper subset of NP\"\n\n**Author:** Jerrald Meek\n\n**Submission Date:** April 7, 2008 (with final revision September 7, 2008)\n\n**Abstract Summary:**\nThe paper argues that P and NP are distinct complexity classes. The author contends that as NP-complete problem clauses increase, the computational input sets processed also grow infinitely under polynomial-time solutions. Meek claims any deterministic optimization proving P=NP would need to examine merely a polynomial number of input sets. The work asserts that partitioning all possible inputs into a representative polynomial search subset constitutes an FEXP-complexity problem, leading to the conclusion that \"P =/= NP.\"\n\n**Additional Details:**\n- Length: 17 pages\n- Field: Computational Complexity (cs.CC)\n- Status: This represents version 12, with 11 prior revisions between April-September 2008\n\n**Note:** While archived on arXiv, this work represents an independent attempt to resolve the P versus NP problem, which remains one of mathematics' most significant unsolved questions.", | |
| "durationMs": 4569, | |
| "url": "https://arxiv.org/abs/0804.1079" | |
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| [2026-01-18T21:26:21.722Z] [INFO] { | |
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| "type": "message", | |
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| "content": [ | |
| { | |
| "type": "text", | |
| "text": "Great! Now let me download the PDF. First, let me update the todo and create the folder structure." | |
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| [2026-01-18T21:26:28.435Z] [INFO] { | |
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| "status": "pending", | |
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| "content": "Write comprehensive README.md with attempt description and error analysis", | |
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| "activeForm": "Writing comprehensive README.md with attempt description and error analysis" | |
| }, | |
| { | |
| "content": "Create Lean formalization in lean/ folder", | |
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| "content": "Create Isabelle formalization in isabelle/ folder", | |
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| "content": "Include formal refutation proof in formalizations", | |
| "status": "pending", | |
| "activeForm": "Including formal refutation proof in formalizations" | |
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| { | |
| "content": "Run local CI checks if available", | |
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| "activeForm": "Running local CI checks if available" | |
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| "content": "Review and finalize PR description", | |
| "status": "pending", | |
| "activeForm": "Reviewing and finalizing PR description" | |
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| { | |
| "content": "Mark PR as ready for review", | |
| "status": "pending", | |
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| [2026-01-18T21:26:28.455Z] [INFO] { | |
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| "content": "Todos have been modified successfully. Ensure that you continue to use the todo list to track your progress. Please proceed with the current tasks if applicable" | |
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| "status": "pending", | |
| "activeForm": "Including formal refutation proof in formalizations" | |
| }, | |
| { | |
| "content": "Run local CI checks if available", | |
| "status": "pending", | |
| "activeForm": "Running local CI checks if available" | |
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| [2026-01-18T21:26:50.476Z] [INFO] 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| [2026-01-18T21:26:50.484Z] [INFO] 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| [2026-01-18T21:26:50.495Z] [INFO] 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| [2026-01-18T21:26:50.510Z] [INFO] 9dhFopoqCazSZt03IlTNBAGvQIUn6pKLWV2omLUOBb8jFc+UjMr8HpFhjslg6bisX24NFFWbkFmbsPA+Rd1zGTDVMf7a9HQWNcjz/22YZ/gVtocFUfsxpHZYu3V/Jfe5UaQC2nA/NgE+VLtVCjCOCfq+kruVQ62hANj1wf4MeGpcnr63dqXN4H6V1p1MILPDEFNZCRCE2efQkyO7dEmy02jqt0zd1Wq2KBqL0J/ANVlPF0KZW5kc3RyZWFtCmVuZG9iago4NiAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL0JDTldYVitDTUVYMTAvRm9udEJCb3hbMCAtMTQwMCAxMzg3IDQwXS9GbGFncyA0Ci9Bc2NlbnQgNDAKL0NhcEhlaWdodCA0MAovRGVzY2VudCAtMTQwMAovSXRhbGljQW5nbGUgMAovU3RlbVYgMjA4Ci9NaXNzaW5nV2lkdGggNTAwCi9DaGFyU2V0KC9icmFja2V0bGVmdGJpZy9icmFja2V0cmlnaHRiaWcvcGFyZW5sZWZ0YmlnL3BhcmVucmlnaHRiaWcvc3VtbWF0aW9uZGlzcGxheSkvRm9udEZpbGUzIDE1OSAwIFI+PgplbmRvYmoKMTU5IDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDY5MT4+c3RyZWFtCnicVZFfSFNRHMfvcX+zbWWw1LrNm6U4GHNWIFoWJaVIVugie5hw3a7b0u3Ou6trZambzW2nTdMNyRAjVi8hPSwitJeiIGSQD0EQPfkg9RS6h3P1rOhODerh8Pt+f3zg9/v+DiCkBQQAQNHYer6jxpSXlcJBIJAFwiEJJDfDpKwnLYMqCVRJn21Y9qFXRej5HpTaSygBYPtHJ2bnF5caWY+fc9odPFVl1VM1dXW1BuqYyVRHnXUxnNNKu6lWmncwLpoXTS/VzlqdDO+nqk45eN5TX13t8/mMtMtrZDn7ab2B8jl5B9XGeBlugLFRF1g3T12iXQy1vaJxuzSyLk8/z3BUK2tjOLeH5hh3L9PNdzntW3prH9F4+135uazb5vR6eml/F0dbexh+B91xf2GCIGQE6CiQECAKILgPYiBOyMUDEVLCTmRAG+DBtBDWCJ0k9j8mpaE5gAzLEqGGxEEtHI/EInHLm6ZvNKrlVwPr8DtEj5bQRaRC+xMJGIMxZTIIxwavXh68q6vA6hbcDLEX4vIUtqBi3JAcypyZhcrxKZgs+2/E8LIEfci910JUziELLkYNI9MtX/xQGRqNBMdi4fFw2eK1TP1LfPyJKXEUGmFloKJPz2DqysmO9kAARmBEGZyMTMy8+/hwWreG1BnUDJFXqSFlKfGLV0jp2iIgpeui1iI1+izj5LYjh5uwwjUQ0vdhM1TmfsqFB8KPyalYHE6UilHio8lc90ZRifBajg7A1TuJyNvgyq2v11O3P3XO1ytTcqxG8zISd8l5GI2G70XD8CYcFp7+cpTkZnLZkSEYgtHS4QSc1WmEE2LU9GY2DVBnWoLywbXInMaGzSwypLFZ/i9xTiRu5AlS+gKbrcjwO4sNVoXGNycXu3OKhcKF3bpCqZ9V7UpPqlTiUxPEH2PEPSUKZW5kc3RyZWFtCmVuZG9iago3NSAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL01RWVlVVCtDTU1JNS9Gb250QkJveFswIC0xOTQgNzkxIDY5NF0vRmxhZ3MgMzIKL0FzY2VudCA2OTQKL0NhcEhlaWdodCA2OTQKL0Rlc2NlbnQgLTE5NAovSXRhbGljQW5nbGUgMAovU3RlbVYgMTE4Ci9NaXNzaW5nV2lkdGggNTAwCi9YSGVpZ2h0IDQ0MgovQ2hhclNldCgvay9uL3AveCkvRm9udEZpbGUzIDE2MCAwIFI+PgplbmRvYmoKMTYwIDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDEwMTQ+PnN0cmVhbQp4nCWSX0xbdRTHb2mHd1CZLEFHpvfeZVvcIjJmNIp/MAKZsgF16GCGABa40LL1L7cUCuV/b/+cdm0pa2nv5U8ZjDFaGXYIIiOxg2myB6OGF+Ncoll8WhYf5NeuPngHLyfnJOfh+/mcI8IkaZhIJEovqagoe+tZdzxxWJR4OS3xihhS1cmF5Nl9IBWDVHLjKRxEzdmo9gC68AImFonU7YMlGm2XXtmqYKgTTSep04WFb+dRbxQUFFIfqWi9skmupirkjIJWyRlhuEx9pmlS0kwXdeJ9BcNo3z11ymg05stV7fkafWvRyTzKqGQUVBXdTus76GbqjEbNUJVyFU3tZsvfrSUaldbA0HqqQtNM69UYhknU2s5LGCbDzmNfYOXYPgEHk2C3Rea0N8W5CVvWU0l/JPFSRIRGH6JP/hCjmsc5Fn1/A7C4Ybx3IhT2zfgJpyew5p2NosPgcrnHrv+KKJQF+PqUtr5KfoypItk+thdMeM2d1ns7cfTiTNAEVpPD2mkhOmV1NbWAM8NceMp9dTRM8rFvUTrE8e3q1byC8s8bFAT74D2+BfBX1anX7WYOPLzLO+YmQ1vTW8uAR0cudZgHaIuOHNYONLIGPCtpTFWvIHIvs+8hsjwSIyq1P2dY57DUA95jAk3/qGUkNH4FOJID3snDJEw4JuGO9CgPUzYe8LHAyBRvAnObAQJe7sd5lEnOKGO6OODoiIBGoCNPirePf1B5sdNIGr+XcS2gBFW3vlkn760RvPSEwMu7PJyb8MemttcA/8rbZjQ7rPYh8rfLOW7O6eInYysbc98BfntN92ED85qmlpQXyww04O90/O7zuLxOD5mVXNgT//dO4vl/xUnhqXLqzNAADtwUaI/MRa+t3Cubrj4rl+uMRNvmOX8r4Kns0lRGyzNJoz6n303OP34wswR4ZMlcre86o0zlkj1VdcovYRjU0M6tcrAEbvyGYcygbzHWVv7UsRFfXVi8RsRk94duCrAHf0GZi7u3slsGbaT6dJGqAXBVo/9uAEZ8UZL/+ToS+8bHZiOxDbgCUZjuFvw7+iOo/ubSEy6CLt4VJfL//GFHnJAkj+W4g+ACD/A90O1IHRg8ZHLYHazVytr6wIKbOAg6x8EeIibsThsMgQ3sbFeK+G/9kLUH7MIGM947+fXoraCbWEXlsw6UPQyluQKK1dZnM4NF2Ci937r1TwwdDexlZrtYYkChLroAeAt7K+yEoJsnBf1XwQd/pdJCZZ45bjnKBTdX499swjR4LV6LA1ibHeq6oRFsu54nl7n4Oj1f+/H5uk+LCYWmTd8kQBrCiRK/34804fSUPPjcYsajTCJDIpPuX/RJpRj2Pwxm3xMKZW5kc3RyZWFtCmVuZG9iago2NCAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL0hZT0NSSitDTUJYMTAvRm9udEJCb3hbMCAtMTk0IDkzNSA2OTddL0ZsYWdzIDMyCi9Bc2NlbnQgNjk3Ci9DYXBIZWlnaHQgNjk3Ci9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDE0MAovTWlzc2luZ1dpZHRoIDUwMAovWEhlaWdodCA0NTMKL0NoYXJTZXQoL0MvTi9PL1AvUy9UL1UvVi9YL2EvYi9jL2QvZS9laWdodC9lcXVhbC9maXZlL2ZvdXIvaC9pL2wvbS9uL25pbmUvby9vbmUvcC9wZXJpb2Qvci9zL3NldmVuL3NpeC90L3RocmVlL3R3by91L3Yvei96ZXJvKS9Gb250RmlsZTMgMTYxIDAgUj4+CmVuZG9iagoxNjEgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggNDA4Nj4+c3RyZWFtCnicpVcJVBTnlq62oao0iEqnHqKmCjeEuKFRiSsKASfuooILLmwRVEB2cANBsLtvd7PI5sImKggCYccSd2NckkyMjtGJWTT6YhzzNEa91f5k3vzdxCTvnDdnZs6cOk11H/7l/vd+9/u+X8XY9GBUKhXnPd9r+Th3y1cXZaBKGdRDeUsNxP/VVPN8W7BTg51N0yCHXxzwWj9M74Mr+jJqlSo6YZd39OaU2Ij14fHOriFuzuMmT/YY5Tze3X2y86zIsNiIkKAo5/lB8eFhkUHx9Mcm5yXRIRFh8SnOrtPC4+M3Txk7NikpaUxQZNyY6Nj1M9xGOSdFxIc7+4XFhcUmhoU6+0ZHxTsvCIoMc+6Obkz3yzs6cnNCfFis8/zo0LDYKIZhRkQtj/beHBsXn5AYFByyJXRB2MJF4RFLli7b5B85YeIkj3cnTx/jPm78OwyzkJnMLGKGMYuZJcxSZhnjzwQwXow38x6zivFhxjK+jDszjnmfmcNMYCYyk5j5jAezgBGYvzCOTH/GiRnAiEwfph/jwGiYNxlXmjvGhklSjVXpevA9oMfP6v3qb21m2VTZTrQ9xtqxa9mvuWTuLr+Ar+/p1DOyl9QrrtfzN9zeyLHzsNP3HtX7jL2bfV2fyX229tnfl+k7p+/JfsGK1t7sADI+Pbe+wQFZ+qxD1lHTQb8oArnsG8hVGT42NkITXNRV6U/aDZV9MYxD1d3OK3XliZ4iOfhPhxRxz5c1jRjp77c8RtTcQoYjMzNsAzlNx+U8CJXszWaQlfuyqs7cqlaSlcECTsOYwr0GQ73JqdKUC1XAV8tskHYlrINQmAHrTXTZQK6E7lGfptdlZeq0pD/x7k+G4grbb2Q2WDsK1kAITIBw68ifOIwlH5M1pCQ9VafbqHVK0iXqk4CPCmRbTZ3QRte5BQ1aS6xcCt0hvNBgzMk1mnAyRvdHL5Jp+24g22J6BB3QDPeg3jrSjbNXrmc2K5oGVS2+iXn4plppwigBB4x9SjzIu+7DiRPp+/0InIrT7j3FPiLZQ+YJRAPI3OuAUwfqpNIPW8s7oRVat1aEl0fAUljFTwDCEI1ob/4iTVZeyaqrOFrRdqrNeeZxQinkp6TrdLsyxPcXzT/5LyWzwYkYyWjiRoJIENI3GnEh2mIf5Mp2GbbsSIctemkXGUB6L3CB6eBRGXAp8ELqTXgA503IXPn0k0/vFZ6m0cAjzwqiMSUbdAeBP2wwHqYFcSD+Mg5uUFTnQpodXtDq5+Cbjpo7uBm/FqDUYNi7t7nldG4F8J+dX0AcyGCfgDnbA+HsGimtGAxQyk+3aQtv39kCPL798wOU0Mn9RzJspv+mlHhJ87iTIz6W8tPih0ldhn+GGJrbSArDYhy69Bzdn3mB9hYUrsUHAtpyZMpv00MlKybrDR3G49AIV38r4gT05jS3rh1C+yeiXp+yFaL44Nqk6ura8uYzy6oDRE2HD4SsiJ/H2ysrMhuUgbUOja1BX2Aq/eNI4bkeZeGDvDmFIPOXH0LpzcaopTmiYZshqxz4Ssg5KH3FWWqxWwfJoWJMcXhuCPCRZAwQx5CyzWVbpObwxsxb23nN/YbMmzsWDZg5FhIGx9xoSxWz9mbBduDjIDNeIiouGdJL8oywr1w0QMU+k/H4xtNQBnwNjgF0aUuqD6+SNLdCqzfmTi+mkS7JbMa/y+hZpnpG69FLVj+jjUKOcM73Er74suPCDfFM4HJu9sa46MVw9aCI1egiExdcEsjpR6x0ddXy6zla1syG9Wdoc/+ptZOVOdeF6Rz65NrK3Pxd0CRpOhTaoHP/SPESbvJyf68Z2kNnRfzxH/6znXO+k/A3UZN8GK7D8ds0yme7y5W+suqwckqtmBQ7IXdvdt5V4GUuVhelj4VYWGNMNFi7t7Ram6HX63anS4QnJqLBw7ZnZXaDbpxeD9F0WLB12FUOvbvsimKLoRicDkCBqaCc7nI+syFSxoVHcXSDQy32nIH9cILlMIlKr1vCJlj9i3iCLSuCyoM7YIe0wEDnHuRxI3f/vU+Imx+x3/3O2vrkIzW15a1Hkw9ojWJVbq2hCPib9UGeUgSnkd/Tkrx0MnzASOyb8rmoSfwK5JaKVn4LjhNGcSPH7ohdHlLfjgyO33vSJFqzGlmuvNWAi8/90SvbcIMyXMDjf2A9VOp6LHOd5201nRl7OpfdH4huz6y9MfpHMlzSbPOCFVFxSXwuOSdgNnek/kT1Odo/9kB6+wTC0phQKSp4ddpG8IHQszv30STsoeTTp1nVSMnHC/upsUsZKaRs1SVCOv/6eHcJn7uYzJ5FOJpjpx9H4RicdBT5vL3bYWeKXrcjS4yZtyp5OfBEAhxx/DzgX1CoP6DVFkt0fWhWbCi5KV5qZRk9y55CoxHy+fLtkCJ2qdlU4m0rs7nPahqeAf8dS2q7mPQ00EG6U0IxlIpKX7YE19gGsukuWxeQ/sBPZLszJStqa6YscedYirZNmdQmrORw7u8IVJ7/OWskgNN0Nq0IyN0wkLgMeYcMJv1/GIWuNGOX4ERlzSEer9gQE7cjJXipJz2JPWDvayfg7OEmqbpVLqiBC9C8sSKKt3/Vv1tlcMQZZfcZNZ41TxTSivSGRDopJRCZro9ZSNDro7VxWh1FIB8byDaaLlBWaoXT0GIlllgqD1sMKcYok562LK+UcUpW1zcFqQb9fnA6AvkHJeUmBxUGQ5Wp0mS06NYhmQ3T+lFNCYIACLaq0SEqXAf0JbpqrUEPCXyXRUgqaXPPO4ZTurUk45FaCaZSUlEAR2oyb6w4KX3Q4F/iS+OcMGEY6UcGPHkbJ+L4thcHSpIha4sua2umlLjKb+McOmKwHp1OScdsjE2G1vJjh5ubi6oBe4KROBrCeXvzL2ktZrbFqiuzcLTa3Iw/CLiJDMchJJakEIm4kg9ICDpTKU3CLSjicAwSu2zIJWEReFUFf7nhcsYXcBeumr5r/9eWS58dukhJ9/Po5vcb52bPgNngs3t8kO8aL5+EZUA3O0IpfE8LdlpyjkOwlm6IrUjh7cNS3PPXsSf2cP2OTJG6Jlryf58wlpT/RAW5DX6CRmvKCcPRjHQKZAB24kAW3wZP7/dgBhkpWZ1KN5hUr/lMjaws+Aay/x+XsnxxSLyIj/4MQXu8bjVF99Hd4Ta6k17IOGoeYrziLxAvy6iLv2tRjaHT2ApH4ZSuwbrsfE7ztED5TGhfXxe0Ljx83br68LbWhrp2C29Qjf/PNoerHWse4+ePZ3Q4am4oLsp4gQyvCclfUgeXnNqqLj/56mkEGXRQzI4D3Wv9wblWAaL0uTNNXLN28fE5+auoGRjlPXLInGOryxOkzpV1u1AVx2sefk8JriJx37ZDMbCaXxXjO9STjCpDtwxRXwI5Ca+1aI5Vi/KNxrw94vHjn658mNkCTjj5Mto+lTQ3ANVT7riX0oK20ITf/kjVKuMuWs8MWW2ON3sIv05kE6lHktl8tC24g8OAv9V1m4wOZM+aUA0X6UNfZ7urOVq5/SWHQ6FgagFheZm1f8XTLDzpRoginVGbE5SXwv+1hXpzFLeqlURFvHXoeF5UJiAjc2FaN2oY14EbhFlnUYiN4ogTMkSFIej3HYVfH9FaWuU+hRCPjBrjzXOEPzP2SVrSWsMJowWSx3V1r92J2ZxRbmapzpkvqM3Jyq9CbnF2/g3gS2ms+lW6zdR8BkBot03N/3dI3a3N0mslsqZrFYlQ4mx/tBxppNXNevzmUX/gsPpX1Z6U7IwqcNpPFauwklKW3z948aDuj6Om83/y4/c6L9dVJM3475D+vxhSxD1b3jLMPWDF6hgx6eFYUxh1035rNs7jqQv83b93dneHYukOlaz4lKnwBpUiZTG6C4/lt5XJ7BFdTnSiXr8tVSQ/d71vG4gttEg2gVyj6a80o3+46bc5wtJJBFgEvGJLl0xru4SDcFjDA+zrcAEHvHsGN+AQR81LZS+uFpCb9pC4RvlrNwaK2J+ryirU1VGxdPkBbQ/l6QpTtXrYnSb5JfhnrgNP8C+NyU+nlK0FfjukbZVIB+XxHRXFxuw9eWLT8bMF1Kjeh3emSppXXjCC2MXNy7kQJDYYqyuhhT+zbl/ctoD0BZNuT8K+ouYlTvjpAdpL1gjxWcMJ7Hu4yeEEZcoF2M8ZBzlqunAePhJKOUC2vC1vX6V8tuESlECd9mD8+qyUzRDJRxyMbmqqPNx4OejKYDKITJ5IckTNK5iWP7XFV/b8Mu4aPYr0H1/jAHR2uUF6S5quBFgCQZ78c3JFCIDNTRn7t9bCDSjhsd9Z+dwjmDnCBWa5iJaYypVc7Ke6Kn9tqUOH8lAoKAQj1PNkHRsPZETO9uzEbH2+roAPZMNJHm3agi+Li7ONhbl34ADddjq7dM5IYuNNBgJxdfI5D7n75ZxPxeMcnDCdyJPzPyu/WN/CWw+v3KHnvrvsJh64ueyuxTevUuKErfnRB6COv/Ygr/nbk8GzV8ZErI0S22OFaw017fAR/7N7B2GJ5DNt5NqSebfXipr7Hh+s9ZtF7yjILEcBJ9z5Hnsg4yGvrBKJ52yhPkXefG5Te+yHifRy5DF6q5+b36nbt8+01ZdZD9tWjv06G/CFpQCDnKkLXIhvWSAyAC8ICRx4pS/aFrEldN0aX0iB9cbIsiLTh3uhg6+LrwoNjYsJm33KD9XU8oz7FvNpAT4DLCI7yRDXKfTSJP5tJmUHzct6kPMar/FEHSyMgptPfoKvXl486L8zWyraAIshgp8XM9xDtH/lgMwl9LikumrOVZur8TuByu7Rmk2wTaLsuG0TbIqshiLJPIXEC/tqoOZoFKRKv3qyqVEQuakG9lkVBt1Vd9BdjTtvC23h9eteq0VbfX2b9bQNyl8bVB1UDZMtd83DeF14rMcMkkky9STdzdVAtmIm7jLiliciySKysB6WVOy4kX4afoFz1J9/sud00f1rBZXwIbQkl6498AEMhskUV+67AraPmbc9EnhrIyuZcjvt41R8Q40vzWqhAgpi0nSwK12c4TcMqFlKCixj98M5w8VSvmsvkQK5dtML6KTPC2jvJnlny9UYaDku4OBGWXUBh6EvimraubFCIKtNSp+7fVda5kzYSv3KCFZuOt3WcQzZb6/K8IhHbui/UYvXe/T8cYtObKusba44eTpo/7ZssbqysbAB+LvHZ8/0DZvt855EVpOgHanUcSY5pSizOCseqMVA26br+FajBRKjKawk2plv0fdoRw1h8Dk+Fz4vv3EB7vK3PC/Tfd6YPnfquprNjR2Haj/8aFnhboNYX9W+pwb4b0xzN+zQE8ehmVKwTqfP0u/U63ZCJq/pSkspgBKxnUUVuC0PhOFDYwKyj66SjuUfOkTpomNjzdqg8M3Lxz1eSPE8+8aTv4p0YzgXdZfKOm+fVqgsysc15QWFLFmdx8m9kH1D7GXjUWbXsznPzg7ZKrveBjt7hvkvM7dZLQplbmRzdHJlYW0KZW5kb2JqCjQ4IDAgb2JqCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvWFFVQkhQK0NNUjcvRm9udEJCb3hbMCAtMjQ5IDk2NSA3NTBdL0ZsYWdzIDEzMTEwNAovQXNjZW50IDc1MAovQ2FwSGVpZ2h0IDcxMwovRGVzY2VudCAtMjQ5Ci9JdGFsaWNBbmdsZSAwCi9TdGVtViAxNDQKL01pc3NpbmdXaWR0aCA1MDAKL1hIZWlnaHQgNDQ2Ci9DaGFyU2V0KC9BL00vTi9WL1gvWS9jb21tYS9lcXVhbC9oL2kvbC9uL28vb25lL3BhcmVubGVmdC9wYXJlbnJpZ2h0L3BlcmlvZC9yL3QvdGhyZWUvdHdvL3YvemVybykvRm9udEZpbGUzIDE2MiAwIFI+PgplbmRvYmoKMTYyIDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDIyOTI+PnN0cmVhbQp4nK2VfXATdRrHN902u9RSirBjq142nA6CIpSXOQ7EerUOaqWIQIGigG1J05Q0G5LUVOhrmrZJnryUkr7QF/qSQspLm5a+IAVlBK+iTEXO4613gHp3DIPM6SD6bPjVudu0nOeN9/LPzc7s7M7s8+zzfL7P8/3JqPAwSiaTRSSlrF4cepgpPiITHw0Tf0EDcd1LC1oiIIqGqPCuRyMPPYiNU1E7BdfEULRMlru9JEnQv23QqLNNylmZs5XzlyxZPEe5ID5+iTIxV2XQZKbrlCnppmxVbrpJetEq1wiZGpXpbeWsZdkmk37pvHlms3lueq5xrmBQJ8yeozRrTNnK1SqjyvCWaqtyuaAzKVem56qUodrmhm5JQq4+z6QyKFOErSqDjqKohxJ1G4Q0g+mtlJXZGu26Z2fNnjM3fv6ChRT1S+pVagm1ilpKraFSqfXUXGoe9TKVTKVQiykFNYmKpCZTU6ip1IPUNGo6FStRoMIpm0RgJGxR2Af0TDqHvhZeEH4vwhwxIo+UF8jfY6KZN5lG5jg7kzWy1yfpRVt08DoEcE1AfL5FJqYGl3PljbbqfMgHm7V8J9k5djW21LBjy3xg1UyXu9vZBX1woXIXvBv1WIDZIrT4dztdnhr+OE6JwB75b8lMV4XbChVxQiroFWrmXddZVzcMwUVbrSMUYmZeAmtNiZ8l74u1HE4nVyKIVx4djISAONkvQ24U80dpsQ5Pc1+++Z5yybrN6wWF47acPFESoWY+2W3dyJM65s1SSJaSu+C8ZwB64FObdzw5k1wKgzy+xNy9dmLkvHftBgXJ/+/fjjcvYkAmbhCncTgPNx87c9nph7gAk2XLcmTBFtjs2uKSAtTMMbtXgBIorii3Wsg0sjSWPI5rLDXgAncc1LfvCTjZAFMBRFapgtchwVMeYqRuYYahydqix3SyL5YkE4t5uyrzKYhTMz3uHmcPHIc/VFZN0Ex3FfmgAdxQU7sHF2JmLL5ACl22KitUxkFxfkGmQ9LAAxju6ZGIXrkvgpl5GYpr3vax0eJI6SFR6ZcduYFnbtDiPtRwOFWJFFEQhZJQZCqJwbBZ+Ih0hf0VYxTETtZwWZBal3NC3287Ccdg0DncPdjROdD2HgzDgNCm9W91p0nNvG5bp8vQqzaZNwL7T2QP3KCDCeIoN/jRWXcnSM3rbFsduZAJifd7Zw43F5iLLMUVZbzUeT3ZhP2WOomXJ66tDzoUAcY6QWs9LPM47tM6CW0VLTosJTdjyVpGYy9JUBjVchfcldTrBpTdh2VgEuw1R3hcxUSLq+/PTsxFnHSDxtcxn7t+5JtbCou1rAh2sjn7ivb62hoPdG078EbaWu1zuQrH93Ly2L+Zpyo45+mHQThqH7RPoE2E2i5e+oMEdlIAf90iw+hRVHbRuEnkOYwPkHhcoZE75mfMesrGCjdJO0PCr5tOf3Lsg1HFKU0q8+K2rK3L4XqzIlq8XdoqTpeo6fALzn/mXWdjiJjBvt1uAD1kOfXucWIDdsgBG1Q4Sq2FJIJArKRZBzjLa6E6rr0LmiRodnihMgNyYatTNxFzCursDRpcQL6JrSreZWmCveDxVtWy0ffqJpTCJb3iZ9dp9Adnc5a2MngLWJKk9skvu0qz+TELo4fNj0vt97v7nP3QD32Oftv4QD4O7+znRR/jdGL9WLCquKqkAeKqweve3YxNwYhYpyNi7MyPGh13nXaFwk/bj4/TM4Yk6ubFZqbLVXtZ4QuQ5+VmsECZmVjHzsb+OEe4sFdc20vjnmA8V7LH4TRL1SWqD8gHoaOiysGOHfgf9bkYcdXYrZpCp6MO4vaCdy8vHmX2wzt3JFYZtkxHBmRApjNjgtUd2Kznx5Yx/3AczBj6meks2LhOladwoOQ6T/44JWPe/6Pr4CXJcu8NYSQyMnzoIo1q8Qeu0+jX5OqNOerOPP+hfR2HFWQOeZVTMx97y6Uhrf9pyj5pFQKO7gkKr5XCAI9/Y8azijg0kTEjmMz9x/L7oBd6HL22fzFCc2vw4YAsuFK8wtUf9HVdct7faN1PN7rn0E6t1W61WXmSOWYmWtFTXjfugPtPwn4JeJr9FXs2pMFvPLbxgCbmfWiqqNdKA3Q3tnqn27oXaqTL2ypNpwzZE/jcCdn5oIkOevHPXEM7dPiMUMT/8KS8yAhGQzs08MHZRM/V+8DXYYIC/odZ8gITGIw+qA/tJXG13lstbSVzjkYMWjiymjycRrKBPA1kxgARcCNRsrvroG6XzWWt5kkcRm3EBMBkwPY7GHv1gsfjdkMVW1cMZYqf5Gs4R/9FSmctluzebdtl5b9Y9hV5BEgtEFUyWUCo2Tt2OBxQwUqHXU3drRGcOqI4eq0TKcBJgDPSUSAbUclKkpB1rZgYknmLn8YtjRwIsPjZFyorbdKSs+XVlur6L0Zx8oemE29k5+m1xsacgY6GBqdTEVJTCvsWGRqFD7huoV2XbRJ02X5TZ3e7v1MqdsTsD7J+2ckb2C25fT1+xgGGFY1uOq89ltL3jLREBUD2JSUBacECLABs+YwnBeQstwlW7jdfLRyGq3ABfg+XGk61jp5t7Yf34WRO82uNqc4kWASJkFi0whz/Yl4mhA4WabA6AkclMNV/pPFPwRhuv90pKF5ZES9tl3Qo+WAETvnZsWomB4qeUKjU8mYnTnH3wEHAB21t46OvYp6A+sN8KNnnePu7mwHZx99h2W1adGEyp5Hb8kpXFZWWlSdAoVT6Cvndm93+D4cuDH/6EdxicfKMC2Q6iVm8aN6GwYoaX2dToNnavV5x8Hfn2oaA/frks0sXpSzfpuZJObGUWsAOQpwYLw8xOnQeaZzhR+bOqU7Z53dQ+J7Gffgld+V0qpLEJGW9lrmwdjidH3LVHoZW9pCxXSsIOzKe/nYlTkb+q5tfX3nlCglrV9zt7b0IZ9jR+GFCE/pXqc9o2vIPHGyRlDC3al2K7qOf1vYA+87HeYvSCzdt1/I5KsGeZjPY7ZKVs/Yye0mhF5r4aHOLmNSAuhpvi5yk1zKByNEHFJHhi1uiJvl3R0WNNkZNpqi/AyG6Od0KZW5kc3RyZWFtCmVuZG9iago0MiAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL1JNTEZITCtDTVNTOS9Gb250QkJveFswIC0xOTQgNzk1IDcwNV0vRmxhZ3MgMzIKL0FzY2VudCA3MDUKL0NhcEhlaWdodCA2OTQKL0Rlc2NlbnQgLTE5NAovSXRhbGljQW5nbGUgMAovU3RlbVYgMTE5Ci9NaXNzaW5nV2lkdGggNTAwCi9YSGVpZ2h0IDQ2MQovQ2hhclNldCgvSi9NL2EvYi9kL2UvZWlnaHQvZi9maXZlL2ZvdXIvaS9rL2wvbmluZS9vL29uZS9wL3BlcmlvZC9yL3Mvc2V2ZW4vc2l4L3QvdGhyZWUvdHdvL3UvemVybykvRm9udEZpbGUzIDE2MyAwIFI+PgplbmRvYmoKMTYzIDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDIyMjk+PnN0cmVhbQp4nE2Ue1hM6x7H12o1axYSYtkN9swgRE5S6IZKlKaGsEuUji5jSpdJpovslOPeG3u7VdpULqEooZsi263M7FF2d9IcsXGwxcbxW+13PM9Zw97Pc/5Zz3qftdb3/f4+3+96ScLUhCBJkvaUr1jhbLybzI0luXEm3LcUwoEDFwYCBMiMQmamZeMGTbOA0hGwcRgEDicokozf+C9PVcKmxGhllFpqHTFVOtPZ2XG61N7OzlnqEadIjI4Ii5fKw9RRirgwNb+Ila5QRUQr1Juk1nOj1OoElxkzUlJSbMPiNtqqEpXzp06XpkSro6TLFRsVicmKSKmXKl4tXRIWp5B+MWf75eqpiktIUisSpXJVpCIxniCIsaqExI3qJFlYuDxSsS46JnbW7DmOTs62djPtHQjCn1hGrCC+IwKIQMKGWEB4ErbEIsKL8CZkhB8hJ1hiNPENYUmIiDHEMGIEYUGMJEYR43gohCn/OJ+4QU4jFeQRUmNiY5Jm8pCyo3ZSN6mnpham1qbhppWCuYJkwXM6lk6n+4US4QZhN7fbnDuc2QIvdGSJHi7rKS4FElj4ZgqY4JF4+CRMYBG2/GgNQ2H4+3cwWoyTsSM7f3ETCGBQ59WWtrYgLMTMouULJObcaRxYBHN00NdC6vWwR0+ByxW2Iupa0nXEvHvaD2PBzA9Mp6k8dgZ4SepdP1vohdwJ07xjFRW3EdOpXfgPm0We82KUeVfjJebwARVx9oWkvocCR4hm0cfeX55nM21CzywfZbg/89zDENgjNOe+zWyGV1qyrBOWdFLwX86DlZ9Z80M4YtR4CsKWwWfjcjIlF9cX72zZcm7H7UwUxMhc0Bb/5YUla8VbFjTF3M1oQCLdhyIYUp5eHlUiiT4bt1+eqzyw6hCqYxpbUX57tXrzWbE5J+QpPdB8KiQ/dFPgw1mwYKXBVjDSA490kD/Gh2j/vHntNdcPnbklTtNuSInKiEWiyC3l141cMhs5s0LykR5CecABnD/rhKtoV7+EpZ7bT1SLQe+EnwrnlEW13nlwtKpOHGycKy1JNzCkkITG/1DcxAEZa2u4RKehGXhIYHBxabw43bVNqdtxCYned98Eht9ja6YOxDfBRkvWdEMkv40dVLH9C9qtZcFpCcHi/QuvVVzNv4lEt8pCZZIwIXbfhQWhyIUJKXV9Uvhkb51WrOgROoGURckoUZmc+P36XSmICVp78nIrrNyX92UKHfymA5UxE8jmw3Xkbbl+lunr6Lz0hn92IOZD3zsQwVAfoKYmeO4M9Jbs82Pziy6U8+k2dYfhEZidHbHEN/7nQzsl5n+ORkUD4wvJP3q54l6Kuwgf2Q2LA7A4YzWTRW+tXANDU+uxCF5abqoVYLPPsl7OkE3nBt3BU3NUfDfLLQ+mFKzan8500SCGj/kVd8E+r06UbTD0DsiwGf3/di/oIbuH4lYY7eI6ekWd78EYxEyeNwGPwmz3xDcl2gO3miQr9fz441mUivZkpicoozcrESPzrAMzGPW4Unvl3IYNBTyEEF7VuREG68jyDshpojg3ULGoNKsrsilM65urQAxmZkh5Ycs3E2BE/Z3cijuSHff9Qv23RSGRE/Jt3/2C2d/I/vTL1RtaVIFa0gomM+bQjIrgswaCdOR7vu6+xnJRGkwDQ7fpDp45dB6lVYpbhRn7Yg7yG0zzWDBF4uAu7zRY8EWBPfx/MqUQrF6Tvfy38wfcWRub1/Q2bMW6Gvx7eBBZX0E/7qKgCk6x4A7uguk0DsPhAi7E7bOsHSYIH/WAA04U9NFf9IyvG8XmfA3YKHKYdzhZx002NvIBxY0CV/atbgrnMo3GOQYXgQxOYtd/C/Ep+J69+7ak4T0sQA0igxlf5MNJOmjVwawW8hFfzNcU2HN6Fo634H4D00af67j7YwFiKptisQU294xcutL7VHOkROn/U1KzGwiQCEb88RZGwHD7/vFbVqOIEMlXRdCBjYasfg57n1Dc/AErNvhY5N4knr4VHo2lOAafhqFeL+/WHK+9LKn/ueAKeohubbsWfSNCG3U0BCmQR6Z8YQ6Maen/hApRRVZDCoOvGAaz6Ajam53DdNV3PbpYlh5SLC5U7o1Ba1AkCt+wNjVOlbASSdH3MHH3ecZ4bhZx9zpJmPGMgm1cF5uLcrNzEQPDaGyHnWbhNQgnM89oBDlgAkoQwkjmvsHN/S8mpTpI1ZC3O+CHDgr08InVHtPeQJ3Mi9l6LMCDnObMdNcGaDeJxyui3ZA/g01e2cJgMH/xCgiton1ShdjjHDsvpP5ec31dd2/NKl/52pVOkmz8ml24vP7Zp67zDbdb11nZLgn1+YuYtQ7+5Ik9gb3PqY5TbK2yNrOONzuGhyuBODiFB/1qu3x16upQyerv0tYgd+SVF1wWVB5QllqP+tDda6fPb8beDit9kAop9ivOMXCS/2Wzd6CtaDvjHOQ5L2Dj2VObxYmXsy6jKlSdXX2uJvdocXkj+oDy8KRsJd/yi6iP7O+jQN7Hzp7dR3+xxel0ZKUejvEHViw8YNGr7U9DHq6/KS/zQavQwtTQeSFzd49HXvwC07Uu1xy60mvQHdR2slp/sf3HJ6iH4aMuZ7EIQchLLWrIvy4puF95iT9wQISwj6038lLLJGqvEHUkMiaGNNxmTS1fYvVjCjQDTmwyvVhmg6IQIxeeQQ3o5gnGcACPksNLDR5lDAp1ciUtJDf4KQWnO9kMlJGVwZfMhC45+/5lafHHPt0N9DsDQqd3eNx4vyXWseIry4ph0PXzGiT67Za3s53vMg8fCZZjT4E3N6Pz7+jvQYqGF31NveYOszVPuo5UIKbhmspvXfJsTGyVpO7ZnJWaxcg6hb+Xzl06N2Spm7Nb7Q2FZFsE2rMr6ap/V/hjfkCL528+Plx2z/m05NcLVTp0n+mb02zluHCtX5jYPOk4538UAo4fO07j8FyhbrB+iHiwqWOh2aDG/WZm+jyzoQTxP85XjQQKZW5kc3RyZWFtCmVuZG9iagoyOSAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL1RaTUdZSitDTVRJMTAvRm9udEJCb3hbLTM1IC0yMDUgMTAwMiA3MTZdL0ZsYWdzIDYKL0FzY2VudCA3MTYKL0NhcEhlaWdodCA3MTYKL0Rlc2NlbnQgLTIwNQovSXRhbGljQW5nbGUgMAovU3RlbVYgMTA5Ci9NaXNzaW5nV2lkdGggNTAwCi9YSGVpZ2h0IDQ0MgovQ2hhclNldCgvQS9DL0QvRS9GL0kvSi9LL0wvTS9OL08vUC9SL1MvVC9WL1gvWS9hL2IvYy9kL2UvZXF1YWwvZi9maS9nL2gvaHlwaGVuL2kvai9rL2wvbS9uL28vb25lL3AvcGVyaW9kL3F1b3RlcmlnaHQvci9zL3QvdHdvL3Uvdi93L3gveS96L3plcm8pL0ZvbnRGaWxlMyAxNjQgMCBSPj4KZW5kb2JqCjE2NCAwIG9iago8PC9GaWx0ZXIvRmxhdGVEZWNvZGUKL1N1YnR5cGUvVHlwZTFDL0xlbmd0aCA2NDIwPj5zdHJlYW0KeJytWQl0FGW27tikKRSjEBvS4FSBIosCgjoiKioioiCGHQKYfV+bbJ2k01t6q+5bvW/ZO032TgIJWUjYEkQgLCMwLjiggszoyLyZ996o+Fdbeee8v5OAOOM7T9+b0ycnnUpX9f9/97vf/e79Q3gT7uGFhIRMXLV+y5tLlwTfzmVnhrAP38P+hp/Kxf0gD8SGwmQ+TJ7Q+vBsZipipyDLAyjqQR4/JCSnQLMqR1ycm5aSmj9rfsKCWUuXL1+2cNZTS5Ysn7UyKyk3LSEue9b6uPzUpKy4fPxH5qzNOQlpSfnFs+a/mJqfL37+ySclEsniuKy8xTm5KS8tWDhLkpafOmtTUl5SbmFS4qzXc7LzZ70dl5U0a2x1i8d+rcrJEhfkJ+XOWp+TmJSbzePxnlmZvSMnapX4tdW5r+flF7xZuFYSt64o/q3ihPUliW8nRSZvSEndlLY5fUtG5rasFfMmL1q8ZOlTPN4jvEject4G3vO8ObyNvMd4c3mbefN4W3hbedt4j/O2857g7eC9ylvIi+Kt4i3i7eS9xlvM28VbzXuS9zpvCW8NbynvDd6bvKd5a3nP8Nbxfst7i7eet4z3No/kEbwsXhjvAd4U3lReOO+3GGLeBJ4vZPM98ff08w0TQiccDl0kuF9gmLh54kfEWuLWpKxJX92bcN+8+85MPn6/PGxyWPkDax/oeFA/5aUp30/tDI8Ilzx0/0O1wpeFt6Z9MD01YlnEcZFuRsyMSzNjHt76cP3Df/7N4G++J6eRcvIH6hBLhwWk4Ec7/ewb3pBTgfv5aAsKFca+HKtPNSiNxhIwEjRT5iYboMXcCH5oo1vh6ORHreVQ61aDmqG0TIoJX3daPc7qD9DUCFQkcHPPh0ryFLFKBRQpPGAmO6Hb3AX7YD/dEbzZ5oGacjVIt9OORgMVGxAYfUazFERS0Gu0SiKT4wv3cldDuSRBGHtK6WMX+UJQyjBaP8xHJWiV0Oqz1Vl95ceAqW6pqO//+DIQB03RhetjuPtkCZQ8jS6DQiKmOeXw1x1ogdWlBo0cDKV6Ui0WL9gIRKGxsqLB1eiop7xDPWgCnCQ+2+LbuXxXZJGc1BxJa42FFJDkS7OKEuQbwECoXGAtZxiflay5VHvED0QjZCuldJFeSr3CDRm0Rh3QIqWj1OupttfayVE4AyH+kGOBSj6rZMOFaBmK9LjqGzt7LltFbsYFUEM4NWYtmQNZdDakQbI5PYiKFqOldBrNlN3YYgAxqGllcSE3n3sp4lW0Cxi9CxgR2L21nWbC6maq3RqThkqCBDoRPyJ1/BFyDLgLKo5bVAUO6huujUvkVBvWbKbTDaLxYOpNahfZDH5zC3TgeLSPBrMCvC4lY6CyzLpqcIGFcdldJhMz+orAhMj5I6dm9KbgTkFVWJxi0BjLaCglRoPbNRrcOw+7HdytenethgpjHeMBvOcS8lziszbkF/5lw8VnuAc5IfcIN3fO2fWfoweRED2C5pGcjfMKE5P9HxxtRPy241Tn8OHWA0AcaY7ZEFswJyOSyt6yI3onEHdARtGBZ/iBZPZ94aH3uuoOW5xBeGsJBlwKMg/EdC5kQoY56y54bVS1sUILUijJFxtoLofzRixEQxhcE4Z3bx9T7nZDrUcFevI2tsk/xfaQS5Nvp25xN0w6kxb0ItDFc0/riuRbjPRKIyFT4k+5wUyNoXIAeumuUVRwvnjUUJQphmqH57C9hfIcdra7eq3VYLI78IZiCvyBRXhDj9/gB44FVggZC2MDC2EyOlQGHSjLyLdWxl7cWBUFIi6ey+AKOAX33PdzEIm2oxCUftilAp1WgzlD7eBWcFPWPQfEsqdPoEfONKClV9E91IU//3ngEyBu7X/imT26DKCpIK3dZqbaQuIQcdv8aOFomNjI9/lfcg8J1ZlqOtFIlGHQNFadnWrC6d8MbdBB++9sRwWyHWBz2eyNlipqP5prL2mIHwQRXs99aD5a8H3kkcidsSlp2ZTiZLQn9xdkFQ6LJoc6lS90dJy58i4Q/a5NGXFi7r7sdZQiN3b1DiA2qq47zIzZ5KDCAvoxCgTe+JyPXvlQqE7TqtcAIQ0GwAlVFDotQBvRZpSGCtCjz/+dE1LcecHofx1Q62+CEhoMehl1ZZpzn51pB+Kvgk+vRHPTN2Rzkc/Oo3Zuei3uBSDmCDLBbLeZXYwNf+PzWChP+1F7R0hgbSc/8DJSCBmT2QkM4VYAjRMsv4zcyJGpa7mngeDC7rr3ImoOvSG4YJeKNcZSdTYFBoMWaALzyeY2m2os5LtIHNwWmEQeBejlQBdqyaLXigqeB+J5wTAyOtqDixShKQLEa8h6TWyQ03mUUWcsCz7FDZYKxlJjIvei1eZGLRSCaCRFUKKCYrkdvCdBXWYEjb6U4maMtI/BJLoDE5sn8ALD2CuJMHa5sg5dvFKJWbDgGh+5UY+QMfcj4RdghWbwylKVdAboCLmzqLHGX3FgcK07/fWUqAIpqRxKrE3/P6pmq73FYcKqOQtje8iPBjC2L3Xy0UX0B+HngvPOUnGJXopvwoqjH98qZm2tdRQwC2MFLKkYe7mRLtaRxa9JczHxVwjOIc9twCYJvvdlvp5HF9H5lFEa+rNY7foFWAVzuht6zd0wAIfo/mASOD04CcpASqkEr4Kj3AImSyUWvIVK33tX0eILR31TL1/XnEBT39v94fTwHxCgKOFBVb8KthIZ4hfmFGy0HpOSx6zQCyaiVl5emJ9TEv32yZTfo8e7UNjAjRU18U4y/FaOLcXRN6O+7sLVpk5VopvM0KvFoCKUtpL66kZP30D8gTe5SfFPbCfDf4CXzsuatUQYuo4lV+RHq7w4E0/zUTk7R3hdUO0eX+0Lgk4031KBBc8qqiuxqnJVhbg4JnJPhz4rKLlNi6uCVVy3Ua+XgkwU1Z4w+J/HxkupAozFarJ4V8Irm4AQQ0OVHarszXjb7eM6/+QwWjrMZ13sTKHJhgNkJtzqSkmWJlttIF/l+nXFYCiTi4pysrNigIguO9g+3P5lwwXKUYerUC1xNN0fuziVm68dI5CpwkI6/E1/OQmE203vyVOJZYnUntV7VsJ24pmT2ceHOlpb68marX3aWuiEuoZKf02X5yQGdHSpRmOBlpRtLnorDYg90FRxe6nCMeV4j93AZ6ezSOhoszkvAlHnGlN+KgHi6HiIh1hzfDDOeM+j5OhowaJhwFSjuIdHetTpZeo3QFRYBsVKu8E+So4e6IE+ujt4k31M8CXrwe5mwDbKjNhxiJYMV5xAS4/wWRU7WbhP4c/Oz83Pl9s1Ng1Zv8ecgd1Lzm7Owk3cqjzafrLtRtMHpLXKVvkL0cl8VhIJu4kl57JPoRcH0H81YoH3FfjO/42V+UNufsNnO9gRob3Z7ugHohJzwqk1qymcvXQaRMNuc0xw8UHZH6WBR1ANbqgx+GiHEUpBH5RMjhhJjih6ZdPqLRii1AZ1j8loAjsQXb6OhkZJeSG9AV5aczzh3M0/f/yVD6vmwvFdLx1Gi4dRBt72g+hFoSbHWAgyQpn53LbV8FH58caP/J+R9lrrL91mFPcw7MEuKc2R1pjXltNPV+PqtK+89Vhlcrf4FJyG3p7W37deOIAWwxDxcxhDQsYjJfEF2zPi3wEiStrT62Tq3QepXvSizefqBosoSNtsjRjTdszEzPQafFMR7wJ6eXh6+Cfo76eE7p2dhft+Me8uoIa7si5Dk6YzkuH9fUUZVRkzOT53L7eQm/vswOqPqfBP9sPBuu4jxHFkF+7mNqoz1j+/BUS71adaj/rRpJpeqmF44GgPdr0N2+MMRp1Bi1F2jnH6TKCLz9Lsb4XoLbRob+2F935nEzkYFwPVhF1v1ZCFkEvnQyokmdNumxpsiqxUhdGjAxkUl5RK5dx33EDEFfSBo83hOAuiOifUjJvNeGyIEiDenHjHEP2klnIzR7r/UTO7oMd8ALqhhz4wmhZBd6gByUZwOG2ONmsNtQ/NQRSa+C3XZisFA64KGUlGeTDlgllF7ocD5k5oxW1Hy6jkOiyVWMTKqBRGYVf4cc1KUPoqrqI9Vyt8IUPX0NFrfDabfVyYoIJkbHZvl6pjGz3ZW9J3FqnIgtM7HblAzNvKTc8fZRcwVVaq6YvBA91AtNTmJ+QpdpYlU8p4o175jnRt4QuRQEMelFS0OpwNUEk0FtrkubmF6Ym9+QOH27taq0nvpiPKRiC+OYZmeMejL9VR4t9GJcYBIRF7BuvdfY4Oyt1becbRXjHY9O4hMEMDVMmI24KAkntD0MT3kPh9PjoRWCocMwJEMDFpldFIk/PVCqPSCEUiJfafh00aFU3LwUjOH6GMtCoekkTLetd8iCagSehxNC9ou5LSCjPSSHokTJibXvfxQee+FiSg7PVgqvS2dHd1dP2ctQoLTBynEHuKz05jvxU699lcnwLhGisdSiyMWCDod3DWx5kTfhkDRh3GKwIfdhi26ssoIwIYixv7JWxyaIWRLtKQGU/FcgS3JGhz7rJabDEXVzl0dcDHzvEqfVP//Xr2cOWJ6eG3UKBRmMQtXxkTBcQuWZeVwc6FofxWTxNUEXVSd7EiUbt5e0/au99+9c2/N5B/Y0nGZsI1SHR3DToUGv5v2ZqEyA0z/7/lB9fnAfDXl5ePxRJ1Xekf63TirvPZNez9wigtRstASN3SvU31vq4jsZ3rbjc+80+9+Uf00Of/UWlVu9V6o1GlJlcuekpfAsTW3P6TQ03fNR6m9p8/uq8fC3C/oTKeCPvhobEA/e6HF/k/TGFZ4ViCEsEExR1XCcU9JCjAdFUWc1+PnInYzJ40+AyYvCJO9DPGl3toxCPbnKSINojUSmNxmY22U63QYfYHdXTc5eNk9WgYBbXJZGiESsxbm6UKidjmCEYwPPKNqQQ0lSAqB6vd5mYnBULwZW72yNl/lIBOnMNdgIWA7vxHCWDAPu6Zzrl9yONzn8P0m8tHAdQrPHXy8GVwBhVVi3NKoSXTN8l1UigGlauoUVFVsjcDiJWxiyRldoPDw5g8Vsrha2noBC/UqH2q9lI3XnFpSZlSKuWe45ZFbN6yayU2TionttyMyW4hK+qa+rvABw5lTW6VpLIIm9S/HkfT6l1j3JTrqeKoXWmxIAGpXeLMKldYJKADNeiMdkddQ3Mzcbu3Hc3f0brAZ4//ivzdyMlL/eKmOBygu+R//8G6I93ULy8tlbZ6akM9btjefmELEP9UJByw11iT45K6sqEIaKPeoP2xez4T8PMD+eynwqpzJ8wtDGH2MNUOvbWMyoR0bPUzIM2cGYyYbqxKOKlBg0OCK2eZQWNQc/eMrIvgItlqbZWRwS6am3KHZPbjoDaCgVZRXMRIk2xLsvydX0syIeuJQBkjN62ljKECRNi1M9ba8SwT+9ALOM0EF5Gui4/USCpshffNh2uvtMF5sBMDyQfWPcI9OpdbvfTws3/5+RRbq/z9gS5Xv72JsvmEfei5b8wuILr3itNmc8shHZdTe0FjYFljCJr/JZt0nR9oYTcI0XOP/ZWbysVxCZyKK+WeuDkLPYx2o2TcX2rJkXkjbwmXbP4M3TdQgWZdQmHU0M2vPrwBxB8+iORmPJ3CibYtodZy/Kc2vIKlFp3i4ny1V9kiP1r0hzpfSO41dAZ3XK3YqH8mqHaNp/MKQcVH5prKS45O99B+HMg6Q7k0SyfLAwlRUKOqamjw7uuL3xu/IJebloYrO3dP6JvBEEgwyyqpM4JXRyYp1qvitYUidZp8ewqooMisrGy1VtSDl/AVu6S5uZLU6L7Czm97UPL+4OQq2N92NaKzuKme9kc+eh9dFKInBWgqmvl3NOnamnNcCMUN/ZyU/Lq6H2yUKiisI/1C53474N77C8GlY3vWSUoXJMVQqYlRRZG4fZ4qwNHGMHk+ueljw3zYew1dE1+YHv4d+mpIWLhMEaUtzEkTJexOwL5UDpkgdnsdnjrsc8rLavcUZ8oSEzqLr313+XeXa0kUwq61VGLrZRm1Xop8dbaeDP9Li0zcHDuTm8BN5OZzs589tAZbr++OQV+Px0OcRxXCaG6tOuPtFdh6bTVcdh9uRZPqDlENxw/2HwDitHOZmvqJAFw/UTP86+o3N3/khtGAW3iDSOksra0rr3abSUtlG5pmbx6bcTr3M6aaNm9b39lL/4oZ5xupqVmZOM5ZBT4c6SEfGvSHsMUopOPLYMHHXUGrw2THrzaoBeLc32CRVr9461YqKzsqfw0QcwUoUiZEj+y/cAM+JK68fJGbQnLVv5gOY+Ow/5EO51FVKOIJegelq2R0mWwzpdytl0ERsXI44+y11lsOu8Emlxt1Cpos2ZyVkQlEFt3U1miuNzdS5r3Wg1AHJ1J7d9QEc2ssJqJPp6KHThx6N+6z6eEsuoYeFd6FUrb4CYySWsY0NZa3l3dS59DLrhYctVrRu0kNyYvSuAW6Hx2As73x61EHoMvPU2Zriqis5+TpCvwSyZL0ON+IxPr4wZvt6HELGf4nHZsvbJA4ZIViSU6uV13hba5twQ3EqQJ/YElzCNp1AcVc4Afu/emET2c0KsvI6M2J77/GSLCUPsCF4J+J233bToopG+3TVuqPyCIGSx10dbFb5i6AFGLJinlPvfLK/m/3WpvMbhJMjAlTzl2Ga6UhuMPtXJJBY6SxndZa9TY7Y3I5SLensc1V3rn1XOkgEDir+WgGmtqi6dnTRuX6FeaFzUXWTKfOlFZZ0gY9xGef/On6zeY1K/cYNfoC0igLvWtiOKpfzqusexTm1Gso9fTuz6eHj6CL6ANMf0sVVBCHsvo2z9/GzdPcttk2suFs9xn81Q2mguKxUdDCkSnybYkr1oOoGGQOA7PPbW4D650MTu4sPHj56vnrdWT4N2hGYLmwucCmyM3Ly5O7JPX1Db4GzOUY8LNcZ0hA2clnj+BePshhB+MwNUE1EN/ula3HraxqA2VQ4t7CQMiDazGZa8xkK1rDWMCKJSE4FCFHXAIJtk7a4g3cmghc74IfVnrAbLGA2UyaTAzjajyEZjfXISEQHYK9oNdoDGW48+JmjHSUpZapnsZkHxufeMBKHYMh8zEYhOP0sfFJkdetglKqVCCFTBMNOWadBSpwrcPUH69q2U2XPi0fk5JD505d/39JSau92Wkij6GYTt25QtgoAg3oaRkufBrsgFYdyu086GuvdZO+rophMN9lLOQ7itbEACE27PXutTczVspaBwyUw4XVTW8591bU1TX5B08dGDiK9cGuZIxxGl0qqEe7LF9zTVdjcUf0tti4hDRy05tSaWoJzkWsjwFhb8jN079yO1NGsFXRSaBUtG1/8uEub1NDOVm9r+Lc+Gp1WtDRpCa3ZHVRXA6IfjRC2NoU1AVm+0NQUmAeP1DAXhB2v7/P3Wl2MO7gwYDJ4FSOHwxkQbo5+87BgAMcRqrKWK/BflmulOg1XO+IJGIHWxfaOsS4KsYaIJpMhgQ66cfzFt34mcBRU1muiTo9MmIqYnRVIMIUYNxYiwInfzy9ensYbfvpAdYRMHnqWo72nbwIxADsKBVrsg1l2CSU/9OhUjd6Zuwe0T/d9H+vCNc2enevjoqJySLVF7fXRkMk7ExPe+dfcQJmR6JutLh7KprIBkaG2cD08OuBdUgkrKwBr7cYp8FIn0AmAYnECxVU+EX2KyQX4kulxfhSDfYubJ+gwos/KgEZhbWGpeoK0eDsW1NROQrNqw/K+d9xe6qMTHrtza1yzFzQE7RZY69FD6L7cJHW9cYm5KZmZ+xV1VXXOF2uoPyO+q0PR8eij15tGXVcX58ewp6rBXsutPuuaWeQcJ11Df5K8n8f6VxG7432lyaRWwMlJKcW1Hzt/bfysygMRM1wiG7IjSmDxPFBRDBFPubuhVyOWJnIzRaTxYtC1/44cT0jeJ0LqHYqdyp2ijR75NtSINi7yWv+wbDtPli078uDaC56rBnrcABFngj5Atn46D0UKazFemb2mGw2H64ro7LGbceyZgC93KDVFQVn9w6oCco33ApBoSiEj3LPCn3SupyM9Kz0PTUljR3+9tbguKvAF4jAtJ10Fp0/y2cHWY2wW4emccJVL+zmBJHkzsWx3Cp4isgEjkIzfnezBz12nuz5ugs9BZ8S3OCIRpgR6/3DZx+jw/s+oDo/Pu7rAKJnf9a6lau5/bELqYLdUTu2Q7B/wuKd40ch3hA2OiC8LQ8OrUWrNRpLFeRLc1ZrsmldUCJKgoeNlsojtn2HSO7ekWx1hlq1AkTqMQBxf0D1Qb+5Dw7CAH3wzgBWBVJKLZBDCSNnCsxaBmuuzeRkLMHvLrhkD7ac6ADe6PJWNNmHHv09Hy38SHj0iw97/DVo8Y2vzgASEmjiiuMruPnLuei1Elts/5VeNLmrpmyfXKvTaXGZYAykTWGRg4LITp79tkJlbT7/MdqAwnoOiZ/jHntm2fwNZLQ4Li9u++plytWYCsFs8phM2Oo5mmv2t+JGqFnSUNJY7C/oxlV54gB61X17jKSnZPGJb7wBOZDokFpSHInOTFDi7stgJMIKfOwqN8ozVfkEXJx7ov/eC/eR905Y5p08yeecPJnH+2/wHtpsCmVuZHN0cmVhbQplbmRvYmoKMjMgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9KVEVBUVArQ01TWTgvRm9udEJCb3hbMCAtMjE1IDEwMDMgNzE1XS9GbGFncyA0Ci9Bc2NlbnQgNzE1Ci9DYXBIZWlnaHQgNzE1Ci9EZXNjZW50IC0yMTUKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDE1MAovTWlzc2luZ1dpZHRoIDUwMAovQ2hhclNldCgvYXJyb3dsZWZ0L2NpcmNsZWNvcHlydC9pbmZpbml0eS9uZWdhdGlvbnNsYXNoKS9Gb250RmlsZTMgMTY1IDAgUj4+CmVuZG9iagoxNjUgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggNjc4Pj5zdHJlYW0KeJwdUEtME1EUnUcLFFoqarowSjsxmvCTrwo1/hBjYiJYQRcsDDTl0ZnQztTpYEMa6A9j4VlU2lCKYvkIRFSQhZhx4cJFNSqJMerCBFwQExNYueC1fZA4kJN7z7m5i3PuBZQygwIAZNU3NLfU7qijyYMgeSgjWaBApDPtSbVmIo0CaZQTqWP78NBe3L8HB/KpbAA4px+F4y/qeUe3wFoZkS60FNGVRmNNKV1VUWGk6+xQYC1mjm4wiwy0m0V5sNHNvIWFYjddeJoRRcep8nKXy1VmtjvLeMF6tqiUdrEiQzdBJxRuw3b6Es+JdKPZDundfGW7vZ63O7pEKNANfDsUOLMg8C4b7BBZroPlWLHbwgoWG7Ts5BI5aJWNec5pMzsZiqKUdGXeSQoMAATugRCVKR9PKSmeSoEbIJQMatNvv47jAgnr4yDdgl26RxNocrILuQ3bj7NePp17PrWw9GX4M7qvGu1Bfq8f9Qb1wmHTcbK/NRDs60c+5AsHBwcWPG/c71reXx+7FrE+cKFgHKkiMTQa8i23Lhu418yc8EQlW/kWk+pFkJhNa2YVyVd4Rmf6Fggz0zfnG2cuIxXR1tBETXJWCYXVK+tLOH/VkLgYDszfkpiPjmWkwtrfm1iNc2oxRdTGkjaSX2t41qFb/LTyD+ci1eaH4sriuvPV1abvWFNiONOmg1eMR4i8oa9u/Nn48XNtLXGBaNYNchLSKaV+SSAhpf5KirQHD+pwhFgxJDEyQhgCSYREsJVAHMMjmMEQR/Rbtq0aHfGSJmzCbhk77JXRREzELWOHvQYt6RxP58UBLkxOK1JVqRO68AgKyf8b9kd7PHcCnj79Fr+dDPSifnT3gDfiiUUfhqNDeq1zKnVuPIvoo9lSrqSWxjQaufIo6j+o5jncCmVuZHN0cmVhbQplbmRvYmoKMTcgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9ZSUxXTlMrQ01SOC9Gb250QkJveFstMzYgLTI1MCAxMDcwIDc1MF0vRmxhZ3MgNAovQXNjZW50IDc1MAovQ2FwSGVpZ2h0IDc1MAovRGVzY2VudCAtMjUwCi9JdGFsaWNBbmdsZSAwCi9TdGVtViAxNjAKL01pc3NpbmdXaWR0aCA1MDAKL0NoYXJTZXQoL0EvQy9EL0YvRy9IL0kvSi9LL00vTi9QL1IvUy9UL1YvVy9aL2EvYi9icmFja2V0bGVmdC9icmFja2V0cmlnaHQvYy9jb2xvbi9jb21tYS9kL2UvZWlnaHQvZW5kYXNoL2VxdWFsL2YvZmYvZmkvZml2ZS9mb3VyL2cvaC9oeXBoZW4vaS9qL2svbC9tL24vbmluZS9vL29uZS9wL3BhcmVubGVmdC9wYXJlbnJpZ2h0L3BlcmlvZC9wbHVzL3EvcXVvdGVyaWdodC9yL3Mvc2VtaWNvbG9uL3NldmVuL3NpeC9zbGFzaC90L3RocmVlL3R3by91L3Yvdy94L3kvei96ZXJvKS9Gb250RmlsZTMgMTY2IDAgUj4+CmVuZG9iagoxNjYgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggNjY0Mj4+c3RyZWFtCnicrVkJWFNX2r4xkntVRNG5Fay9wdYFrXtrXSt1362KAqIIqOxL2FchhDXJF5Kw74Q9gAFxQQXEXepWtaPWpdVRx461tXZxOTceOvOfJDrtdJb+8zzzXB9Qc8+53/ed93vf97sRUH37UAKBwGrh6vUzTX8Zw78p4Ef04d8S+mH1yxPGVCuwFoJ135YRI8VDeEdbVDYIOQ+mhAJBSHjKQklYfESAn3+Ug+P2cQ5TZ82aMcFh2pQpsxzmh/hEBGz3DnVY7R3l7xPiHUX+EezgLNke4BMV7+A41z8qKmz25MmxsbGTvEMiJ0ki/OaNm+AQGxDl77DeJ9InIsZnh8MSSWiUwxrvEB8HU2yTTD8WSkLCoqN8IhxWS3b4RIRSFLVkfqhkYZj7ovCIJZFLo5ZFL49ZEeu9Mm5b/PbVCTvW+Piu9fNfH+AcuCEo2CXE9f3pH8yYOWv2nA/HOo7b/K71BI+JiZMmT5k67b0BFPU29TG1lhpFraPmUKOp9ZQzNZbaQDlSG6lxlAs1nnKl3qXcqAXUBGoTtZBypxZRk6jN1GJqMrWEWkpNpZZRy6n3qBXU+9RKajq1ilpNzaDWUDMplnqDGkbZUfbUcOpNagTFUQzVj+pPzaWsqRBqIDWPsqEk1CBqMGVLDaGGUn8Q9KeWkiOh+lJKgVDgL7jVx6PPHqG9UCN82tfbqr9Vg9U3Io3oAT2D3sXQTEe/Wf2+779ngOOAg9Z/sN47sN/ANBvaJsDm8qB5g60HK2xX2FYNWTKkdqjt0PahP/1hO2vP3npjyhtXh/kNO2/nbHfD3tbe177R/sHwmcPzhu8Z3vtm2Zufv/lsRL8R3Ih5I2JHPH1r3ltt3PuckZfbGHeDAbkZ+EU6AT/HuIzNLJbnJ0A8yNMyk3Bk7z07WViM1yxgAuld6mNQAbugCQ7Lu63fMdCeqnAdNEIuZGuLOpGtHaoTncSOWilkgcI+xBUkXCB9V50NJ+AkWXjavCiBXgWyfOkuBrfzRSwahL+wwiCy4e+DgR+sF6B+11HIdSGfgE6yf/I5/rbj1oWRUk75rQiPTrEKpC/lpbuLcRm9VQoryeYH1AehgUTQDgcsEa2UwiExWk4/++LwmTOlXqs4HP+f77Xh9bJmfqRe0PQAHXog5OUogEW2oxCF7bDdKExhW2z7Yhz6A2Kff4dsOSzFG9iN4F0f3RqxX34YumEPfNJ8oL61XdcJR+FARI1/g7dqI2wHD8UGiXfY9q3xnsDYGPNiDMaxBkHPUz63RWh0Nc5my6AgOV2pTE7l3Ob77V1++F2wxx54Lp5Ofm5Fc/B05Inmoj7IHtkUQH5iijxTphSn4Ul48MKRwHyA1x9FzagaLfvkm0eIWYY/qher0lTpJcCUQ24lSes+djGgd/X8iGYBEl5HzQ+EqAxPZy0FmkV3uh1J2wUMGor6fEeysx3zPR64Y53M1U18lsbjTKX+ozbDW9zr82/K58TXsjX7utvOAXPjwgdYgOmFM2f7e5R2B4ml5aCCSpL0W7Cbf2kQ8DeNdmxeEWhAy1TIIJ7rlYikONaqWZSHHC93IDsSxhxR77Te52lSyIRM+7h8qOT4ZFEFqrYKFqVhcfREvA4YvFhkYzxKYPKzQYDGPuCn/SDsMDqxgdX0jewUX3FvBe2rSJnHRQfyg0VoGRqNxqPVaCMegybjpWL89s8c66HIbRHzu+iW7NwODtGim3Ah6OCm807gAO7gBuNWzffftnLHNHJg/Klfytf6AO0iiIzkV7MSke/7gcc2t6wih2WL+4zHLLb9aSwadKVjX1OtGC/6z1hbgApZSISMneG+a1x2BgAzZ9UDRCHRtS9vfdk1ewM5tGkkO+ogObCrSEgObBWKY+HzZkR9m52RJUuDKCa4NklXW1XW2Bqk91zh6e4cwymfifDb/6I19qpPQC30QDZcMIcQSy9QFO4W2xiXk3Y/aEAHdgvQ6IfIs1nI/804l+29ElgtstSx9HUdRabevQidcBUOmfcIoidCSasYZX5Nf1cUPF3cjHTBog+kQeO4SShbZKmqvQjNgMpV5XgY00zaeoZMz4+tE7QeR+nHhYjnZ5qBnymHxEROoUxNlYMSFJChSSwMLdxKztgh2GnzprZQtVy8L6Qm66K0M/VGEixldoR7TB4TevNYMpdVrCQEwyRCWpwYD6YTQVaco1JVVnBabWGxVntoW6ei3oTrg1c/7Qr9DA+oFqdlOxdkQXDulirYxzRVt3+D+mpnSbI5VVquPBeYMnO/GK/FGFCigRebm3TTQ6HRDbmz+zTazzgD7SaXwHrwgtmwQ03qENhKf6OW+opX0hAL21xCN0mcgYQ0Gi87i6pQLVp5+uH3qO8CPKtOrJKpMl73JJLSv256r47l7VMJjrbgD81NvxnNxDPRjhv3anr2iSskLYEFwBRBYSmBxVRCUQMNaKZOgPpcRyOahWgN/zaLxhnwOLQqWKScsm3CJDkj+QrX07jfV/EdF/d98jl3MngjvSTY12cZ3CvjLCzfY0DNBvOxXyMJcvwTti278AZXbRB9IFfAx+RSwAfmDF/1FE7A11AC/Tt3/dJ5ZsR8Qq5suGtGTDQ9T1HYJkaF6Bou/L27CGkRtAw6+FoE0H1+Afsa2Avo6a6rPpqedaCbQ3doPMEE+esgnybG4+mFMAm9/2j3lXwtp5otQuMKrAz00rTcw2L0jLbhh7yijNEPhUhGct6jLrjF1RpEc0g2i8mlgDnmbGrpW2qZjykbH7lsLhcZKPqCxPkZubLhC3OckfRcecEeEucpWRU/jDDbx+hLtvZkS3GbijHQ/mS/bZAKWyDYvB/dqsiPhgSQKTKzUomSaO1wf1SbUQw5kG1ftxvKCbK85FsgDmJgMwRZ1pwBbUZpABqPn9jl7swhfF4CuXnaIsJI7TH6o6gPH20QkF9oOtGqKfyP7KEiOP8Koc7gCU6wzbxPC/3IhNBeN3ryxk0uXh665ihOr2oqhz1Ma5hOEhOQ5DX/6tpHD3/4BPUh4Miz5GN0RHfY/Jrygz2mfAJJPl4QBGGvYzuoKAwnxkAqz1CkT8DZdqNQfWYxqEFjX79LVUui2CF3ARlEkyqEvM4mO7PSZTIGO0dUpNRkFZJ7G/ZAhTnzrSTzeEK7oZZ7u6Egq1CChuNndjk71allUA6aQm3xc9Ri9xy3aJM1KeVgXwaaAk0hY1JtPYpoMDys1wsO3kah168SHpuJjrDfTeieMnN+0PKQqvh6faWuoXZnebSWa6s7TlwKc/LkjlniYHqdfJl8ceh7PgnrIJCZ/kP45auH9u+r5rQ+9T4HgSm4q/mL+ETwBnrbzsQYX+go5JyOsONnhW939Wzt+vTsJTRFSyr26S+g4p3491nkhuZ/2nNMVaOyN9VBAa4kMzkst+SmU1akEq5IkyfHJeA/4Q479On/oKnm0IhFIuSKdQXJOakgtZf4E3W1WK5uoj8nodWiPn4QAKH7TKpGohaQqM+gZFbf2tjSZDC0ttafM522KeatRH7XvkZvpUIjhWRIzpRKk1bNt5v7SFpicnr2kJtTWmdasV3uDCnmE3x12pdApTy65idsazfFIULiu81JYR9It6lziQxmwxnYZQkmOTsll7jBiqIStbauqaGpvvH2ODtdFMk/HdLSkyKVjEk/D0EluekINFkWrQaZNryZsTCEWI98LCLZYhJJ4wrW4ljMRNH7l2Z699nagE6fS2D/2t4MGfUE28x194pPEKtXsmTr7NKKxrbOqkPEs+0N1oWUh5X4wwKIgkV+W/y2bkkOJA25vS58r7TSYmWIHfDS8380CKruCUnT32HrTrUVGF43vTfxuy6vYdyoKEkkG2Uo0zOlDjjTDjOoNL2UFEBjX9usqibI3yr3Ij3yq54/CiWKch80Db+02zoyZPFiYCISi0Ccm11TCI2MPqY0OjYqOdjzgO/xB10vCjScDR8sa0Z7vqo0exP/R0K+Lz+SlaRmRYGUCauM1ddXVTSdXdo0EYsnYiEegIc+dURD0MhW1L+oKBnk6ZlKmZxLj5HMHQvM6mldyBGNunb8av4xiG8V27z0egXt8S38sdtClGt0ZNN0SrWEqPPcv5uENDocNo8hYDuk7oR6cnW+8gj0GOiqF/N6WqVC2l6cQ/q2BOyLQVukLUJ5RqGdSmnVe/bv2L6lNkGD8ATc+jW2+YrX/YE/FIWBQp4ej3f2nrcjqUMzzxC7zo8U8u/xDmxufnY25DFlUkjk8NfEWM4hxjLnaXUr6ktsgEiED/T2SU9VKCDVPqGQcC56SnzlRuIrZZiJ88CDSFYDRL/GFSlpy1Uhum2ylq+0x4/237NF50putcVCk+kb9P1oNKTnsL7VIF5Fowl/1xv+R9qp9yJLmiJrZ6xku0fkFvCA7bWRbWF7Mw+TEp3O31/TWtt2SH8EuqArssmVMQuzhUla+OUtQpRlnMKmlChVseRpcwL1ogrIA52iXq5SQhxDvNl/LnsuzS/ufZIvzZYXgH05FFSI+UN0PXT9YMbdFggn1xbYasHdD7A5XNzrRFvwtL0ezTSPQbmXhPxU4jyrc6DmgftzPBIPHj8KD8YsosYSGA3tflGjkRckpyjSMxRiv/HT5fGEODyqQjpCOuA8NDGqejYfOdytbQPUDzR4pCqKsUE3zMyDFGTC63/126+EyNnkYKwNeBCyEt0/fOhgWX6WUsPFp2YmQDITXhlX31BRWX/Au9Hlo2kbHTjcd1bgbXz1d82tL3E5u5rQGfOEgK4/FaI0dIFFK0RoEBpw69l3Ix/gUeJe4d9h/LskK0clLNJZJoanIuQEWLDVE3Af7GQaHbF3I1p24WYjSmkUNPWgtFstPUI0/zIbrI5ogN1Qm5Ofm98esTezFpgnVy/f3JOwK7JeXFJkqDqsypJnZkIiE1+cXFFSTjQ3ucUzYXOWtwcXUbGjfAswjguWfLil3r8qVhwdkRYEkbBNF1yd4Jq0bQd4MAt/ckZ2yBb1OXLreFB7YDm3ttkdxgGT+4KdBN9Wt2nrS3Xi8hp9UQMwX8O70b6Z4TvJRpKg9HhgOvFHbAMaBnM2zvNwHOvUcbyqrOe2+PUEbqbW3wzh73k4B8VzSvRI9GuiLf4fTuHG6hh9ugF16VGnYYjp6M48/b5p2NBkPhR9zd7UfXsK7jFP8NAv8TgO3/o3p3faDIh/lEighx5BQ0TXwOCbm9YYRBzHUlgFXu2+B3xPZjYCc0d3uykHihOTICVdKc5c5R8tgY2Q0RGPhjJDk9NPyS7jPi0MpstIz6McEdSrCmvV+apdoAPmKzK54rFYOMfvbbEN6jKPbsgaCU0IFyJXvpdtjGoIDA2PCvJvjKlvrWqs5/B4vIawyvn8DMIq5b+g+SSUQjEB3yu9XpGl3SvmKdKY92MMxvFNgp5z6LtzQpTEkwG+dMsROMNcPH3uPppfgz/w0XLZKar04leDDHIzDxlpCnlKOufvvOnEytINZMgY8N7U0U4HvCvjxLv9DGmIirgXWyo3+Bek1AWAO7PEZcFEAmnRMSTO4JRkn6TXA5arecDKU2UX5HKaHE2+vv2c87XkTwiz2v7pyYv76x+MriW53zCp42eW5P0efUuyjyXZN0fUBYdERAYHNETrDTUNeg5PNWf/eb4JPfZ0WNaYJTujNdpkLie7qhj0TEOcThIRnRDsdlJy9osL5x9xfCJNvCkp7It9AvSVaSYzzmR/5kSx5rcHJejDmjo0kah5M+QpKrNUMohgestpf0h6h/MJFLWpEQUHyEV+tZkL60O/Y5pf+XIaaqCoSpOf3UhWky1qIkrwh+Z51eSQfjabCyE6jurYu5c+PdqurTO5ukh5EnG27pCk8sy2OCSlJhkyICY2IS0Dj8KMHR9G/8sG2as+TtyszmQ2fgX6x/Sl42qo9y+Lsy+NKYstiy2JrQqHnUxCnFzKWTwQ8etk2StUeEO8xq+TsUDNFKMJZs6/cT/FvwaV6ZnH/+GZRG5iqowcsfrv8l+wDZ+eUxEgG+hQuRtpjTgiVq+k4WBtdFiaUp6ZIsbuvXHYh9dmFSg0xMM0HoM6oiUm0+pCHEwIuFkWfALVUOaD1L3ILi8uT15IzJs6L6eEsXnZ75cXe6GmP0JjNaGVL/1PYcFkj1WhiVz8lfW6FTAePJYkhzH//Zu+W4fPXSh02/C7HPPf3Gvz8rqlTC+38rfYkvaGOvNEFCQPgGDztdGS9fHG8LBMUGQmi/F7vdvwXD6BDETZoLZvPgqNr8rkBj7EIb6q6zEoUxQm5idXrAUlKLNkoMTjehfZkZWJ5pXZ9s3HzCun/3blaYLUYh/k2/vCTpukIeNRCeTka4rRIj7PDi3qzdWkaKRl5gEpX1tiGpCIEg4z8Ft1AnTlcyHPGd9kdZAXk6xUJsk4fKV3u1Ugap1J+8oJgUZZCPQUuV4TaBQ9T04I9M5zw0j6I96K7bXCuYSP9DFNz56gJXrE3i3SCV4QQSdDtQPfwxZn7ZO1m2jh+p9LC9PVmcRwZaaKd+z0kG4kI4V7aXCRTKsgOTPJkBIvxh00mSPL8tSaPC1XVLrnyF0yrDR45MeV+2V7wA7wVW6UeMaFbA92gRWwcn/UBbUyhzhxRl9d0dwWWhwbHyTzmnpzCqKR7fPHaDBiZvyE+2/akhjgIzbHyNvrv3y4r15w8DHSPBIiDv2JhTu5V3efaeo+sv8c6YoOeY3/VkVWAKQwITUJtRWNhXs+2Xp4KhYTt2OHg3EtGrLscdfR4gOHuH17W9rhPoOGOT7EwoVeHu5RHGLx56wLBLbt1EcdUlwiQ/WT49dudDeF+1dyVb7EDbmRyzPWL9zD3/z6l4RUxffcJhVD64hbV/PP2fxCUupqBueKIiBYFZHtqlHmy8uYYFEA9iPcll1aeLkkr1D7OREGBvmLRmEOi/CESDwN5trLwKOT+L4irosGNKoW9T98wfyMJmN/kvIpdLpbiO6in9mTDZe64Sbzzfjjk0ZOXzDRtzigLpQrj9Eozu7AgzeELQBnBvdBwlVIgAY9ufP8XEB7YjmXUKZUTT/O4MmP2NDyyEZoZc5d3vfHm+ddFq/b6r42lHNazWoUSLS4PKUs9WgQfMzMm7151jSnM7c/P9lzeRdnjqP58W09P4LE8ghpvxXyI1AXi+WY8V4X46puDuMOatQGKGCaosoj40NTfJae3PYQvYXeQCNQICrG9PVRuP/IyXgYZh9PRFZ/PHDoSC2Hhy9lPSC0Krotqo1Y5yNE6tsb9tft3qXrhIvQuFydWeWu+hBimbleE6ZxJopEQuRD5OghEgqRJz+AbQmrlgREh0lMatRSbVKjq33/6f/IQuxShea/WkyA/m8WR/QKWVgRs85zU0aaQgmZTGp+hrb42pdogCHryobA6PDQkKrw1vIctTaXszFeRAM70OwOQY/RVWiUoHtsqQ5qaiJhp/jnfqKdkRAVpYNSsXEg9mdLa8knsaZPbEU7Y8knteQTEhZvbw5LgNaTkNbzj1kY5+fh6U08pBwU5qeX3L2F+vdEHt4SGB0RYnp6Q35hTg45kKlYXfXSWSf46YIQ3cNq06v4Io1SlVwsxm8hNgCtATQZ0H40AL15pKOkWKUCLaPNypUlbnJLTSOVxw4SvAywNeCoR3gZGvEu88ueSE42PYvULHyTiESrUX/3h1O+JB5TRobMLFAUScXIAdvvwisBTwK8j8yiI9w8kgkJkZJlqtMLyrqP5OdxaDhy0KNlgKxN6obVHS8dOgRocIcQ1ZJ4O8a8dPihA4/9607iBi6+U4XOdaDzOgE/vEPIL0OxLOoUlVSTqkVDkhh3oi5RCVRHRUF0Eoe7cBedFE2qWA0lYrJzlygJomtqoLqEs/hdMpLYPK7Xm18mhBM5/Z5fwqYoCaUryQXEBuE3kED05Ou2s01N6XF1nGJH2rag+sTqkpb8/cdcuz4Yh99wxyIx7vOb8eRfaS+6ij6i23Ol3mJc+Z/v5AX0L0gUoI/JkX9cyhKxneW0SC4nypBhwdudm8j6ROzRza/xVl1SpFZzvynhPGMqi8d6/PBXhzEeaKzIBr1AKy8IilCrEHWilewF3LrCROxIqxcA3yDkG5CW1fc2SGhLF73qoBP/3AOm+ceCgh5+ipD3NW5itaZvebKZYllBcmKWVJrJYfzXOZmW7wOTC2TFZZqiIq2ZI/TG/nrB/geo5oGQT0JXWHiRciHwvOefZ1dvADwEPCYmSfwWKBzBFZarx3TN6Zh/Le4Yafx7pd1P2q6oH8AFBkfhC2wALCmLeZZyCh4Rc3UZPis8UfXjzYI6aIHLCbopRRvgI2L418JUqXPM20uSAsEijPwuw0GCXektIbpotGUbFKowbtt2l8gJpm85G8hhnG5geguINkoncP6Bov3qe3CIXPdhv/mQ/OkJ8iLT62o93EbfP/vOIDj2DEV9I0StyIstK203lJWcPdVzAv7CoAFjb2BbbD13yjT3veklVc2le45uAinXePVi3WEymnXNnfHOAifcHw8U4yH4DWkKKCDCnheLGtFSq2CRPDZtkzQuI80JEgkSl4jM5HqVkNOen07XC679iLaRATcH3Wdvda97G9su8nXZ8JHumL94d12NYVdUTVCYJGH7hB9XIxGy//rh93eWXx9dLb6l77kEXzBfTD31jsPsdU6+dYn1zbrqxragkmgV137ihroCmPrraaMWh3onJYpDgqMUa7LilGlKMpUn5UM5Oby//TLKm7vm8VdCPsI0zQ804MGor+ir7gMH1UWQWfKvpnlfr+TQQC5w71p1GDBj8dBN2Or/3T3hv/sCAHejpywS0I/v772UvwcSG7lwmTwaZJCWHV0jk0shnvAO7kvbED1eWIokBXlVIuxdSBv6Xx/A9e87Q2fdT6+1tr5eZj2Qov4PbaVkrQplbmRzdHJlYW0KZW5kb2JqCjExIDAgb2JqCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvVUJSSE9OK0NNVEkxMi9Gb250QkJveFswIDAgODMxIDY4M10vRmxhZ3MgNjU1NjgKL0FzY2VudCA2ODMKL0NhcEhlaWdodCA2ODMKL0Rlc2NlbnQgMAovSXRhbGljQW5nbGUgMAovU3RlbVYgMTI0Ci9NaXNzaW5nV2lkdGggNTAwCi9DaGFyU2V0KC9OL1ApL0ZvbnRGaWxlMyAxNjcgMCBSPj4KZW5kb2JqCjE2NyAwIG9iago8PC9GaWx0ZXIvRmxhdGVEZWNvZGUKL1N1YnR5cGUvVHlwZTFDL0xlbmd0aCA1NTc+PnN0cmVhbQp4nD3P3WtSYRgA8Pf4NTNxbSAoZeeFuthom7qbYUQRRrRgK9qgYBdN9DAdOx45numsYJvubOpzTHJqtCQXi82NciYsgojugkZXddnHRX9B0MV75HjRsUFXzycPv4dCOg2iKKrLOzY56h7upGflk5R8SiM7tACtr61LejBrwazbleu9ZLqHTHWT2yeQlqK4+RUvF0nwoZmggPv8/djt8YwM4GGXy4Mvswwf8vvCeMwnBBnWJ6jFHJ7g/CFGSOC+C0FBiJx3OuPx+JCPjQ5x/MzF/gEcDwlBfIuJMnyMCeCrXFjA4z6WwUe2oaPg5djIvMDweIwLMHwYIaQZv4mQE7mRVn0F6dAb6oqctrRmodbS16gWI3+zPv10UGjkjPmyVCknYY3mgM2EgYW5XBjem8+sLMFCcj1boBvZ6pLaTqYXs6Kia0/alOvy9upGVoqBXTEYEklYWC7As+I2iM9pxdF+e+/aVIbN2FeXswn1QJ7egb1cDXZhL1PrHH5UVpdTkkizEleAV1DMPwGJ2OQtGwm0/+QXpfRjsJfhoZSvGC2tc1AjB1vks4ru/q4lH8kXKxk0kB5i+01MP0cPMa00/xte7MB9EdIZseN4lwyKqXGw/xuWIE/XoZHbh31oZuodx7rqKKXgwQSsF+nchp445A/W4usCvATjL8OP5uyNRHLwzgS9lr475QKj0muwxDZlb4lEc5VNgzJd6qqZDo+fNulGquZj1aLZjNBf/x7yDwplbmRzdHJlYW0KZW5kb2JqCjEwMCAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL0tSUUlBSStDTVNZNi9Gb250QkJveFswIC0xNSAxMTI4IDUxNV0vRmxhZ3MgNAovQXNjZW50IDUxNQovQ2FwSGVpZ2h0IDUxNQovRGVzY2VudCAtMTUKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDE2OQovTWlzc2luZ1dpZHRoIDUwMAovQ2hhclNldCgvYXJyb3dyaWdodC9pbmZpbml0eSkvRm9udEZpbGUzIDE2OCAwIFI+PgplbmRvYmoKMTY4IDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDQ5Nj4+c3RyZWFtCnicY2RgYWJgZGRkc/YNjjQDsVR+SDP+kGH6IcvcXfPrz4/prN08zN08LAt/pAp9LxT8nsP/PUOAgZWRMa+4qWeKc35BZVFmekaJgkaypoKhpaW5joKRgYGlgmNualFmcmKegm9iSUZqbmIJkJOjEJyfnJlaUqmgYZNRUlJgpa9fXl6ul5hbrJdflG6nqaNQnlmSoRCUWpxaVJaaouCWn1ei4JeYm6oAdpwemHTOzy0oLUktUvDNT0ktykssKsovB7sgMy8tMy+zpJKBgYFJ0ZCBsYuxm4GZkZEl/d2PDj4ZlmPnF3yX3v9dZj7jr4TvJaK/eU1Lfkt0t3FUz+6eurCnZ8UkubmXdu6dMPHMuQOzdk6f0DNxQvfk7qktfS29v1U2eH0oedI2v6uvtJujoaa7um3Rb4nvvKbyf2+xVRd1FxYu6Z4tD7KicesP5q2ML1b/il/N/OP29wuiSt9ZFGeEdXP8FtVS+c3/m/P5b4bv4t/5Pt55cEJ+Q9KX3yxf6w50S34XffPpO/93Tv3vDL/Ff/OpWpn5ya9NFT1y88G971zdHN8Zrhjrapm76du47fqu8JtT3iRBNMjWzOI3UO43g9Pjl2/uX3h+60LMb4XvnPJ8xYt/2i9h+604nX0/137u/Qt4eICYl4EBADq1yqQKZW5kc3RyZWFtCmVuZG9iago4NCAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL0tTTFRLRStDTVNZNS9Gb250QkJveFswIDAgOTIzIDU1OV0vRmxhZ3MgNAovQXNjZW50IDU1OQovQ2FwSGVpZ2h0IDU1OQovRGVzY2VudCAwCi9JdGFsaWNBbmdsZSAwCi9TdGVtViAxMzgKL01pc3NpbmdXaWR0aCA1MDAKL0NoYXJTZXQoL21pbnVzL3ByaW1lKS9Gb250RmlsZTMgMTY5IDAgUj4+CmVuZG9iagoxNjkgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggMzM5Pj5zdHJlYW0KeJxjZGBhYmBkZGRz9g2ONAWxVH5IM/6QYfohy9zd/Uv/x2HWbh7mbh6Whd9PC31PFvwex/89SoCBhZExr7ip3Tm/oLIoMz2jREEjWVPB0NLSXEfByMDAUsExN7UoMzkxT8E3sSQjNTexBMjJUQjOT85MLalU0LDJKCkpsNLXLy8v10vMLdbLL0q309RRKM8syVAISi1OLSpLTVFwy88rUfBLzE1VALtND0w65+cWlJakFin45qekFuUVFGXmpjIwMDAxGDAwLGPsYmBmZGTRSvrRwffr/Peiw4zfTX72M/9i+V4kOntZ9/LlBd3V8n8t2aoLuvPzl3XPluf74bNxwY+S+Ywvvq9k/v7nR6poT8+Ued2zONZnL8pNasipaZP7rffHtb2+u6O7S7J6a2PPlN4J0yfK8RUv/mm/kO238nT2w1yHuQ8v5OEBYl4GBgAwYn2nCmVuZHN0cmVhbQplbmRvYmoKNzMgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9XVk9VRkQrQ01SNS9Gb250QkJveFswIC0yMiA2MDAgNjY2XS9GbGFncyA2NTU2OAovQXNjZW50IDY2NgovQ2FwSGVpZ2h0IDY2NgovRGVzY2VudCAtMjIKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDkwCi9NaXNzaW5nV2lkdGggNTAwCi9DaGFyU2V0KC9vbmUvdGhyZWUvdHdvKS9Gb250RmlsZTMgMTcwIDAgUj4+CmVuZG9iagoxNzAgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggNjAxPj5zdHJlYW0KeJwBTgKx/QEABAIAAQEBBUNNUjUAAQEBJPgbAfgcAvgdA4t1+Oz5LgWLDAOLDASt+L4S910R91YP91EQAAMBAW1xgENvcHlyaWdodCAoYykgMTk5NywgMjAwOSBBbWVyaWNhbiBNYXRoZW1hdGljYWwgU29jaWV0eSAoPGh0dHA6Ly93d3cuYW1zLm9yZz4pLCB3aXRoIFJlc2VydmVkIEZvbnQgTmFtZSBDTVI1LkNNUjVDb21wdXRlciBNb2Rlcm4AAAADMTIzAAASABMAFAAEAgABAAQAUgDDAVX4iA75PIu3+Ja3t58B98bnA/gi+RAVqYiLah5ES/sDi3eLCHpfnAaii8yOxaQI/IgHbIuAIR5ZXwbCj+SLxYvFi+SLwoe9DCO3WQchi5aqHw75PIvr9+H3Cta3Aeb3Cfem9gP44fdVFWEGiHiBTXuBg4U3i3yLCPtYBs281cPHs+XJ38WL9Qj3FPsN0vsj+xsoPSlXt4KZpqudtK9xn2yOHqe4xanOiwjs3FEpN1FLPkof+4j7Y4GCiouKhBlt+GUHDvk8dbTA9w33Hqvx9wm5sQH3B/cG95L3CQP33vffFefIUiglTFUygPsLi79YH7SRl6qLowiwb6Nqa212YSP3Clv3HPc48e7s3ULR+walHvcMsqvXi8MI3SXI+xL7DyhXMVyxf56op6Cvon+nZ5EetrnkjqCLCNS/ZkdRZTAihR9vioeKcYqAioCKi3wIepWLnR4OdaH4Q5z3bpaRoQb7YpcHtwrkCx4KBDefDAmslgwM5JwMDQAAGTb7uQplbmRzdHJlYW0KZW5kb2JqCjU3IDAgb2JqCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvU0ROUlFHK0NNU1NJMTAvRm9udEJCb3hbMCAtMTk0IDgyOCA3MTZdL0ZsYWdzIDMyCi9Bc2NlbnQgNzE2Ci9DYXBIZWlnaHQgNzE2Ci9EZXNjZW50IC0xOTQKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEyNAovTWlzc2luZ1dpZHRoIDUwMAovWEhlaWdodCA0NjEKL0NoYXJTZXQoL0MvRS9ML00vTi9PL1AvVC9jL2UvZXF1YWwvaHlwaGVuL2wvbS9vL3AvdCkvRm9udEZpbGUzIDE3MSAwIFI+PgplbmRvYmoKMTcxIDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDEzNzE+PnN0cmVhbQp4nH1TbVBUVRg+l7v3iEgbH3ONHXR3GQlhFASEHBUURUXRBQT5MLHcYAdQl8VlaSXlo5pSOSCh4rIkLlpD4zSZQH6l+ZXkKkpKphT4mYyDMdqH+N7bgaGDOM3Uj37dc9/3zPO8z/M+h0MKF8RxnGusLiVlSVjoyDlA8uWkCS7SRJ7QNPmqvEYg7jxxVxyYIHR5wQ5PML0MmR6I57gC64expoJic15OrkUbmBWkDZs5c8ZUbXho6EztPKPBnJelz9fq9JZcg1FvYT/rtSmmrDyDpVgbGJVrsRTMmjbNarWG6I2FISZzzpygqVprniVXm2woNJjfNmRrF5nyLdoEvdGgfTFeyItvrMlYUGQxmLU6U7bBnI8Q8jTFFiy0LMvSJRgSk1asN0YHI5SE/NFyFIBSUTBagELQNLQIhaIwFIl0KAGpkRJ5MfFIgZai3WiAm8/VciddkMsaF7sL5RP4nXwH36dIV9gVLdJWpbS1vB2eOLnObjhxk5f2wmfib4vvUkQnURUNopMCrkU9A1/QgA+EqKmdmsXMZU394Nb99I+OY6vnTV5AvSnWKGXv8svSnXYOXunl5Wx5upjQtGKHjrjSfJpKC2ghDXxMPSGkr3n3sR7NrqvRmatLY4iKeiX+AQIkQQAshcgrrZtyzmqUUh1Na4TXnNDXzkmv9/Aw57hY/86XWZ3EFdzAE9Qw666hK0oXZ87N1NSeFGIw9R3yEn7CwEm7xOo9lZU229Hm1o8cxPXikYwYKkx9dVpcycXqyu27SRWD7yPXwOaE8u+5PqmXhxq4JcJtXOcU6G38DbwrgBrbiK3CxuiWYvtlYTAZ08lDcYK0Btd3CtQLl5GyijImzYCVMMTcu9f2zMGBsouHWmm8CH7Y1iZQP9wE3sIiXEC9hQhctly4g0uTV9IiYnBN/sTafOZ0/f6T6i3f5Zhz399AVOUF5Ovaqp2VNWy+ZtIuMcA+aQYPd+R4MRzTwKF4QQrC9ivhFWEV4US1CiulJMbc3851/cxLW6RIMa3ZUJPKhoqgY+l0qgptC4cxZ9rshy5pdnZkm1Py5xPVQsOpzvtOtkyPC03la4+xpQ2TRtnPwT2RL/F/hTAqOgbTN+mj+dQjcXJpnqoCb2kv/r2sUwfDPlQYHYPZ7CMNC5W4atleqrAtuED/9PkBwyq4fxcmVdccOKv6wkl9hhC7qJQzRvF/lafwMmH40ZiqBoeFCkzjGAb1+A8kxLEmeD4X54Toc+Dl5Lo6ofEcL+nBxFZb00I+Jw3k9LrWjftzGjOYXJHFz58G+F+JGuhob/q0RVNVt/1QVX3OBp1xCXFdnHmqp47s3l6n2XNOPNh96fg54vqIBK9j0i1Fl6UBltdxDyXDPV7eLi0WYZ72GfWleppBN9NiGtZP3WEyrIQ3wAgfqAfFwYni9OjrrJQPU2Au+Pdfj2L8idSPrqXhDNKLNEJjGxz9lpMGWGwr4LAIUZjlVQ0YPB/O/ZG+pKFVo5ofYFDJXiNh6b2gj5k9L5iqNSwzSjmKNEqPOzmIkl14qV5WiA/+SaPqeRqf4pJ4AXxHqpWs2sssHVIwPCW8N+p2DxTycJ65HTNKdYOhHmSoY52cnNzDyw1wXqxuqKol+12dxpZZESnLzYXqLa3WI5FkNklKLyqs7/SJxVMG09hiToDV8fCrGzeJ6nBLadrWbZvINk08vfC/HSVjGN8KEa3cL3I6cxZui/UNxOEoJps1g49wyUZite4ldo10mmaKdgfrWEnJvzpKuAepbdxpOMDDLagWacPIA4IGrCzaJyXtgfR9H+/D9C3bGKdb9zi1m2KGw32ss9rdHaG/AYju1j4KZW5kc3RyZWFtCmVuZG9iago0NiAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL1dWR1BFTStDTUJYVEkxMC9Gb250QkJveFstMTkgLTIwMiAxMTgwIDcxMV0vRmxhZ3MgNgovQXNjZW50IDcxMQovQ2FwSGVpZ2h0IDcxMQovRGVzY2VudCAtMjAyCi9JdGFsaWNBbmdsZSAwCi9TdGVtViAxNTAKL01pc3NpbmdXaWR0aCA1MDAKL1hIZWlnaHQgNDUyCi9DaGFyU2V0KC9BL0QvSC9JL0svTC9NL04vUC9SL1MvVC9hL2MvY2lyY3VtZmxleC9lL2ZpL2cvaC9oeXBoZW4vaS9sL20vbi9vL3AvcGVyaW9kL3F1b3RlcmlnaHQvci9zL3QvdS95KS9Gb250RmlsZTMgMTcyIDAgUj4+CmVuZG9iagoxNzIgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggMzc0OT4+c3RyZWFtCnicrVgLVFN3mr8xEK+K+GpWUu29WJ1qu75na9WqU+ujWkGsKCA+ECEC8jS88oBASCDhfjcBEpLwDM/ImyCIgxHxgdZq2Z6u7uhMZ6rT7VSnrTtjO6v/i5dzuv8AbudMO7u6nZOTc5KT+3983+/xfV8EhNcEQiAQTNoU+HbYnu0rlnu+LOTmCLi5E7iXhHL+0FyvquH93uAjBB+v9rkvDM5E789A2mno8HRCKBAcVxg2JacoZHExsWn+i6Je9V+xZs0bi/1XLl++xn9jolQWFxWZ5B8YmRYrTYxMw18S/IOTo+KkaQr/Reti09JS1i5blpmZuTQyMXVpsixmw6uL/TPj0mL9d0tTpbIMabT/1uSkNP+dkYlS/6cXXPr0w6bkxJT0NKnMPzA5WipLIghi3sak5JTNstS0benbI3cEKKICd0p3xcTujgvek5B4aKHPkqUE8TIRROwi3iN+RgQTe4i9xKtECPEa8TaxmFhChBObiaXEMmIrsYLYRmwnfk68S/wL8ToRSOwk1ARJJBK+xDTiZZwwwouoFWwSVE4ImnBd+I7w370CvXd6PxYpJ06Z+BeyYNKySdWTs6esnOL02egzNDXON9T37rT26e9Nd88omXFrpnjmN7MWzdrOGXyHH4Eb/czNhdUIhl8c3iA2OA2mREgHDWTJRgQjf/LLVeQqNjFkthKSGFA66FboNLXBSegxdME5n/mWGmiuVoCWiWVLU+nfoTneKEtUwfvL9ceZTJCkjy2ro8/COVM/9IHb0OdZZq3Gy5SQRatFeaACLZtjZNjCCpIP4kLFLXyrNx8u8h2mtC7OzyXgmG+E6Apyi83Ng3+8B+RpkMqDDvLTFIfoPJkB35QMHjh28S/9aE5tuRqy5AWg1lPa4ymLdwNZkAfVtVZnWQdd3tWHJsNl8s6ulnUZ22HrdirzcpA9Hg6ALE6deTxSHQx6MrsMKhpYttFMWdqrb3UAaTdr0+SFWr2K3syf1GdBIRRIEhpyas2njefLKF/u87ErPkYCVI8EQu4+6hJ/u3mIn8KHL+Tf5GcsuPEumoL2PURr0UyK7+dLxbH7q250O5FX4wW6+fpg+wCQnWeVm6OP816yEDopIPhYGJB4Xz7Ejeix8LMfC+/zs8X6LIZJBDILpzTHml9KN0GbqRk6wWXo8KTUjJGoUrKabBWwaroXbWhLdunrQYLW/Rkf/iKa8sapX+w8EC9PpeWdhyqjnznub1VioxlMrOX05d6KViDrO7J3743lp+Um03Gv7ck6DrGQXJfbQ/oOfwdu7g9uwXAhekGIAobE+myGUTA5jIrJATJdpFRAkqIKKmjOS4Tq0GJkQIfQFn7mdX46PeLz/c91Ihs4GTtDolnZ4qIKlsWHfiW68TCV99sr5bcdfIsOXb06YiGQ8zF3dKBjcboKtbV4S7IaZysA+QrRh+iGuKS+79a/gQ0amBrVwQwmEocpc2S0nuxo67uw1/W29EDu4cOUsjWqPvwnckCpdTUjLzTzQYNL8Hs0Fe24LeRWcXPFUiXEgAEfqmps7KrpvxTcvm59bEqWgjqWnBkCCbDqM2Vr/nnNBQ0cJBlYzNPqA3DiGGU29TrgDHky3qI8GpsUHjAU86DpQ/bkRep8V811aIc6XcfR5qR6WXGINbHkiAW6SBZ+/cjqgtR6fBkxJqS3G71TI0BTHwrRJW6e+LeiqqpRuWXTm0XW06ayknqz0/ZLsJD1SkeyWpp/IIeK4V/xXitSKMcxuCnawrfpVTi9+ZKAy3FX0cR/RXSVR13pDKPSUpGLwhXHgczLYVscRktRJe375AVsJN1uZHcLnkwcJkaBcxivsX6es8tyi3PpcAgz7IMwCDHt8/BVI/8bvHfwVj++R/Q+0o2tlVxjvZ95MT9/5GO/HyGc2lZgo/vhvOkcDMAFwznP4lLHeDbSRRo4ZsyHG6jLD/WItvG1YztInn8LTH9izArQ698Iuc+5aTgDYIRisjXVnqGOzt+XQ23lO/QKRp+cLMlWy1RYyvsK3XVXO/7QcJ0ubSy2QxU5GNa+d344PyfDw0FHMZQVURbnia8uA1lcCoqMnIT8bDr+9eRNEEwuH4q909RbfKafcsT2qbrBDY0dZTXO3rJBKCI9QKUyjExHaY8p3ooDMkdnqR8HiosfkykXMY5SDWtnq1g7kI2iKmzLJqYig8aJNoRCCOw1hXrCzX2qzQZRMXQW2oB/eTzdmYW5jBxygUwdJY/aWmCncZZM+A0XDec9i22Oca+XiXSQwio9eh23zUePhdwgR46lqmiUjkqlVq2m4tujizG/+HUL+bX8i/yUu0duf+BuczTQzxfsgkpxoQ4MjPbw7sisBCDT4sovX+xE02xNdMeDSxVO7J5N6bYo0vfJrPGk3OHeEKMC9G5Ho9N2xSgxO9gmq9aioVMgwZAMh+GQKfIp/5RVTCnbxOhq6JF5/IWbqPf/Q9uFI3f8GMjQH30utg2gSD8kuINm8K5MXSIYQKIYqwp22g39prPQA6cM3aNLxwqt+gBTVKGjfYcD/xr8cpZ1Gq1sgwd8l6i6Epors4xaeje8Z9gNoU/Bf2atjZl7gqgeTGCp/S1K8jOZjSUYoWo55GVpQVVAJb8Vxs/llwL53vfefYU/5KpEwtbxQjrV9vUP9JMfwYSoqU18tyFHn5Uok2h1qcqEn66fnuZyawUlXxG4bAPkQRqbWV5hbqmFk+TJBIsiKv7Y4ZALcb9CM5HwPx80YGtt1rqQGXnVjZX7PbjOcBEcLd6nYA5im8+yJPT2tnSe7o84vZrfPY9fxf/TGvfraKHzmrHmInWxtrsb7KQls0Fj0INOR21c/QpkAbknofVydxPyPXGe7r55raIF16sTjCMTM/LyGFJP+v7WTEe1xAeIUnHXlZ3O/2mk1m81V6l35htTQMLv/WEh5f1HLvvh7kGfkp9bmGGQAanCj+hN2VV0F/SYTkI39BpOjnZz40TLiwFrKo1e4tzerOj+yC1TRrG2DiSNUGK1VnAvcV/6sQxPjVz4u3Z5BrPQDbjpM5z9O3bpqRej8Xlzjz3xmZpL6oudYAGyHMdoyzPn0kchyiCFaDhikno20WaOxlVe6gJNIz1v5E1ex0XlVTJsGg478PuwT4hOQ6GBKdQxBpqfO3J6LHLJ84U+m2tA7pEhSxbL4MDroRhKGsgxCux2oVXY5icgAhmHhOgEShJfReGAqKvBro38Rtz6zeaX8sRH29CM1vdNjgH6R7HPBjI4qf39RnN3aQdd6hKXn7O2NLc1dfyyEnccvfUp8Qv4N2AnVmwTrquWU6gfN1Zb0FwhNx1dEqNlIrQGzcA3mIGm8hNbfk7z3/0I7j+lJpIY/RujxDsB5BnR727D2wrVgrj9tEYVI12CrXmiCKcDSxetdXHTPZIgPF7uLS6qhBIwjnp5Sm5uXh6VdCLeGoMXbHiNX8OL590M/aKt1eLooJWbU5fuTtoLkhRIM+WYaqvMTigjG+W1CbExSYcCP9H+Ck39euA/6qhAtF2cF7vr4H4gQwr66y51oqnlnXT7nQFs4C3QprJH/E9FQUGDAi4Ijwv3hheJ2WLsPsXgUDDZDD8t3y8XTySQRCqqodRezTB2il8w8uvxfk7mUJywnyw+a6euIaO5afDLeyD56XNGWJQq9jDlO/xnpUvuRq0u1OqeyXWhBSZEzZ6VNSxE98VoUvPvb8M9Ek3iZ3e8TPF3nhPHszCAB6tzcN7Q/6M4foya/Wb1PxJVfAzrVdo4nYxWhxbimYvkBWi+of1h+7dl+PlcuR4y8ylV+PGkJCBjCluclWAp+5Q290ARlJCzsqAnozfISfJz6sSLREOoApszi4XRJ/rNXVifkfXKkRg66lhonmd2QWgMihlokgD5fd2AfIQcOfyi2CmvSzwaFxebUpPR3NXR0UnxqpF6cb7KoP0/M1tmbmSN9Bcor6TSZIEKyf/u82qdjCnEyqGU7uHJpwVI+hiFPBIOBw2vFJvKWCOYyAo15GuA0Wqo0AgGgNWbJLHtEZVBmKVb1vBLlsRY42uT6NbIHk1/TovOCG153XnuHNhKhkXyBO+97Z8b/qvSiHNAsSacH6OnBclOKwR5AbWPP8AUMAVQKMkuhyIry1pKqdbG6IRr59vir6R9gmW15XO0Ek2ohb6jfXRCV4J5R+U7VX7KotAyuE6eOfUVEtwajF6YoU8FA5Vlh8p6I9QUYwp1Ybv8zRUB9x3HeVQJFSzZKXpQrwhIyI8u1NCFGtwFMKS8CmzVFnAWUU1ou9GGC6hR4lCBCnu1KB2w+cj38Qv8dJk5cZDvEYK1xsTWmCk3mtvUhcTQgBdUevh200/PJOnDgTw0RscaKKI/hCETfsNHhiEP08qflqIIUQYksplGjHw/Rh4NCu49fFYBikcqx6eMHVePDbobO2rKqGfoYZ9sHusfh7t++M+ATK/MPUxH8uvyUzVRoBud1OzdxQNl1AeIMTdf/uMX/whlv3kwMi6OSr+9HDLwazts3/oP+TeBq6396FMBF4ZB/my9TYONFCT2ujo7C2aNjX71kcZW4On2dFCg1xXwS/z9sjWMDp/EmONrzMVFxiIKyw89qkUb0UIBsqEVQm4i94E4dX3IruBonb4AM4DML8m216NFaBaaPRRTnbAnNjzqWJ2s2+mwlZgx0VZ5PH3l6BApcwnkaCo34aENTRWiu3iURDF/NRg+G2Q1RmtROf0J+og1sWYwSTwPUfwpUScKK3ai2VANl8ClSs9RpEIymVIjb2ntcQ7c5V9gAwK2MBF7qZ3h6s2qpeSy733xM9HWkamavUy+eo+kID03PBHnMQdyzM1l5U3QQJ7IdCTGxCZEhJ9NvDj4Qf+nbZSj3z5gPY+LxEq06UvBfXQW0xNtErcAayppKKq0tGBLqFZANsUnipKBKcxPY3SYOwZSXg0VnoyCJ5u+6DUhavxc3ClriDmyX7rvSKuiua/vlJvyVVZxuyxIyjZUifhDlonuyY+nUJO9FMk+k1w2Hx/Wx5cg/htJk0ZFCmVuZHN0cmVhbQplbmRvYmoKNDQgMCBvYmoKPDwvVHlwZS9Gb250RGVzY3JpcHRvci9Gb250TmFtZS9OQ0ZSQUMrQ01DU0MxMC9Gb250QkJveFswIC0xOTMgOTI5IDcwNV0vRmxhZ3MgMTMxMTA0Ci9Bc2NlbnQgNzA1Ci9DYXBIZWlnaHQgNzA1Ci9EZXNjZW50IC0xOTMKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDEzOQovTWlzc2luZ1dpZHRoIDUwMAovWEhlaWdodCA1MzEKL0NoYXJTZXQoL0IvQy9FL0gvSi9LL0wvTS9QL1IvUy9UL2EvYy9jb21tYS9kL2UvZi9maXZlL2ZvdXIvaC9pL2svbC9tL24vby9vbmUvcC9wZXJpb2Qvci9zL3QvdGhyZWUvdHdvL3cveikvRm9udEZpbGUzIDE3MyAwIFI+PgplbmRvYmoKMTczIDAgb2JqCjw8L0ZpbHRlci9GbGF0ZURlY29kZQovU3VidHlwZS9UeXBlMUMvTGVuZ3RoIDM4ODg+PnN0cmVhbQp4nI1XC3hTVbY+aco5p9CGlwdah0mKIhcEsTyVGYpgQVEoILVooS0UWtpKn2n6fpA+kiZZSZr0RUtL09D0QeiDAiI4LQ/LwACKYAUZFRREvTqiwojr1B3vd3fT4vU6js63++U0+c7ea+1/7fX//5Ywnh6MRCLhg4KDQoJmBwz+P1X8g0Sc5CH+UQok9If5A6EjwFsK3p57J40PHocXxmLxaAwfw0glkpRMbVBySrYyPjZO5T9t63T/2QsXPjHTf05AwEL/pYkxyvitUUn+wVGquJjEKBX9kuAfkrw1PkaV7T9tUZxKlfKnxx/PzMycFZWYNitZGbt4+kz/zHhVnP+6mLQYZUZMtP8zyUkq/9VRiTH+w+nNGn4GJSempKtilP7BydExyiSGYR5Jejo5KGW5Mk214vnMqJWrtgbnRMdsWxu3Lj7kxe0JifPmz5w1e85chlnDPMysZaYwLzBTmRDmRSaUmc7MYF5mnmZmMo8xy5hZzEZmOfMM8ywzm3mOmcs8z8xj5jOrmGBmNSMwExgfZjQzjhnPPMBMpcAxnkwx86NkreQNj+ketdIXPD09N49gR2xjH2U7uWjuNX4K/4aXr1eO1+cjXxh5fFSEt793so+fj0Y2V1Y0etJo5ZgJY9aPUY05PnbB2D5RJxMHwCFGOyTIteIHrVIMFfVCUY0esoAn3kq2CVrBVsK7xnIqWB8kV3KNxiMmG+yCowaHvtf7YQcXBCf2KPAHrmoHXnCtqFCbwQp+tVDeoBAncnvgRL/cwWUYIvWZkAcRRqWJTlJy/bBepSC9nGygGpz4lh0POCU4/zp+/41U1OAPwhf1fz8LV/lb0z4gD8pdsoQm9qpJHatwNXGxevVieVqC+CiL8n/c+uKjP10l3jUKYsUKod1U/rocJ7F3Di0MWb42kIxQkAAWI9KFu71zli1ds8hfQeRsuL68XYHNNPLo/GaxoFly7Ab+zw2peI0ugNPJKBxDppHpZCQZQz9noA8ZiVPp8MGROENObKRUWEY8TmEYrkW258LbOCKMrCFhxGPdMoVsoCXdOfCYU9J/V6xokQ7IRJfwSsfqN6ZQKMPIIjKPbCKbkT5xAwbew0k4qgrKC9SgKTQoiskjxOvPxBP4uWTtcWzHv2BU98Xv7zxJZu1RmPKNuhrg68DcqMBCrh7K1aWlsKNYLhNPggNj9mAeLaDXRdxxQ4rvYYHwzUfn3ut/6iLhFKRJyV6waLYoXCy3RatZQSvYZjxlsoMd+vR7De4KrtBaDylwAafDOOGgxdwpv8jiOHhqazQsJuMURMLKBrJplc44sb1DgnNuYaxDOiAMLBJc138qTONPhbnNvorVI5SskjyWtpQsp3ufMQy67Tb3dW3iPIUDdyvZefmJ0+TTsYQdqtrDLM6GfS/XkYd5BysTv863aRyYasdUx7jBjYW+F3HjXcfE8Tm4WlwngMNUVWUpN7fAbuAvf6zzj9YGkQmKuSwuLxAu7T57BP7GX5rzJvGRk5J/2f5e419MrdAGx/XNP9/+059y43sd0GxwJjSmQxpsghDI3pewO/tg3hHgz+86a7NAVYHaUFSqKFkdayiBTCiq0VQX12laC84XdxYeW9LGy8SIfIdYbJccO4blx6TiA6JRqIOKQo3BkJ4n12oL80o1Mfsjdm4BPuC5ZwND9r2yc4dib6Kt9POMkwVV+j0ZltKWFNjEh0WHPpMaWta5WR7ZqesxtBgqio064AugJFtB/sDlQnGV1Wi075JbLFW7yqxtqcdVbwL/1dmr75+LPghGxbbuXPMCW4YlrkJjCrPlHoC9/NGDPRdw/G7itb1MbioBTTXwNWBpUMjET2j/R9Luq+mXit2iRXDtYPNJ4AgHW4njbLtRCnyfGTYrXAy3tZRWOEPJHjCfhoN0nIYDukEEM7jFpdUHFSLDHTZDHzL2HDK+Uk7LOHCSHpuzTuxwuo9N/y2peE7kBNKPBWyXqfqqvMnJxumWQgwdSyDOTBdLaOJ+0elsp/kydNNxBToHwznTuMX66i4F7sJ+suv33hKbuN+JJBPPpdv/ip5ihlNyFj1xPiWDheL3wqs1cF7u5DbpYwzhEAVzIcY9q4u7DQVxCtdGbkbo+hfDwpv3ZcmP79zb3JVsS06Pz98UdCn4q89unvq0RmG0ggnaednAe+pGMc0hEePFlYK2hv5o5ds6oYHyYqIhTK+kVLvJmDLEi91QravKrVDXbgI9GEBfWkgk5IwvGY3fGspKK8Hq19YN9b828zDsLK1OxLmuEN8ytbm4BmrAXFlWhRNEqS8KLsaSP/ijHw1vtdTiI+JM34aTzXWdJp6ysz7VkAEqiDBlG91rvaavTIQcUJeqDTrCkiu+bpXAKQ68ZJN0iK9K8ZpoFTR1Wqsa8kGv0RaQ+a7ZvuqUnMhVel7J2U1tRjvUw1G9bajFoky6DqiECjB13OJxK2sPqcisiQeNX3Is5NCebDGepqLSAQf0TUMTQqDIUtDJk7EoCGQN+wVqRsgGPgLngMR9lKQDUvETYX9Hb/MZI+/kUnXbIQViYR3Eu2vEdRss6VAERVp1bh65QU744ru/dwz+gwO3lMNxyOJ60mQtrsoDtV9SDGTJE7hO8yX6dhe8qu8ezN7JRUASxB4jJfipr2zgqZ9l7YnVgpJV/1c+GU9WAf/YEDGKe7kOqP1S3u5kY3UBsAWiIfDfJSd2U3b8hLKM2kGVSxzdJBVTxBghw77h0JJBqiUCGUVmkplInzgDJ7z/z5uVP4lMyeT5a54APozMaMFkVOLjTUfe/fglMr5BYSoxaqqGKQEDuSHS0hdShfkhZTj/Ba3i8Q+lA3kDDwlGwwhX/09w7Te/DQfouAD7f73zSCCrAh0UZ5E811u+JE+8ULJbAxngRwJ/0g8dlwLhUwbBNPaY2qEdevSdQ2BOgddbFGI3ZzRi5Y9eZUWWoirwqwJLZVklJVwDtIpRFApxmlRcK2YK5VVghjK+toRWhnzPFruZzIoevR3fAI+jWXLWFV5SSLPR+uVZwSYXPdidGEHlSuOf8xyZTCGcQHnLc9gTUeU5dV2KXv3CkHhgB4eT7yGPf0T5FBxNpihIx7DAoMQ1X4jTmikPyji3il5lb8Dh8Npse7I9CqbCwryojO256ZvDHgd+SLezHBjdSo1XPwY4pGKeWCG4XrgvV9JhuRIjuDZcT/PLIT5pG8kDNEGGdYfB4Evc5Z2ZK6icblSyK3ZkLpUvx4WsO/QdFnlojqsmErea7qPBkujfULCZNFjqYLBnfhmMazeeMDlgH5zVtw314ZI86FXgogvc5eqM54YiPafOWCpfgUFDkb5k0QPatlcRz8FIbp/Q3Yzn6HmZdwPfvSsVn8aLAsrQ6+93v558k0xWuCT/aub+bccVUU/SM+TrvmVxMRCPyM1APMliBXmUHSKlHOp/HO59FVMBW4ztAinGBewhi/UCpckkwzp9OqRDiClxiNr+My+0EovJyt9+R2S534whGziUbqdonLDjcee4QTQabq+9+8+mieMJGvCegDs5aDFVNpkrjU6wAX8TfYFM91+2mdrWuwUCeredfwve5r8isuuEGs+rv4Jal/kdd+O9A13/DzUrjuVOwr7M+lx+/I/d20C5/EF4BmIPR+/f3lfUCfwHDddarVBNSaGohDrPwC3qDFgPJUeykVdfKnVs35dh394QXc3L8I37d4N+Ka4Rg4XDFss7dMfxhpf0qZAKL5nih3b8jkVLHYInt1mrXUYR6zAeNzVDM7VYHUOILdNaDlOhRWqPA1ol/efxs/NS1IlPCvMaMy5CF//2qXMfo/zE1Edq5aYC0N43Jxjh9rolYKBed9valJaIIzMoa/Bz5k5e2RFZk6d4fcPekuuZdaX1urrS0/k2rTPeWrI3HkL5ZeuDAqJWVBx+Uf78Md27hg5Ducakve+gwrkcKKkuN5krrfL9Z1qT3tx8F/xw7LVv732w8Uvi0TJo5MEpkv0S/JaSduTAQuHHiWwWSadUUouLbM3UqjZQB1mlt+tgB6h4WpN4yH9IvjWBPWS+A0fpuAuH3DXZyj0EtR2DZAh7YKfdXGVqo3MxABpTa8kid8+M/jnImCKg8rdP1u+eXpb7x8foR56tKtiZBfl+WWn6YvqyzfiWaTfQjRlahi5ur0CGedsxshQLfPEFXNJoPGymZkClzzMoqZq+RC8d7pjVeqsG1JCdk5GbT4mr6v+yFRNxPZWz4j8XziH+wK8a4iWR43p3wRV3+iv1iaCEMFPsr6UvPk4vYQXDy41qFeefl4pnxGy3ugTc36KNykEndEKXvv3Xmo/4cMPS8pTrSV+yRFx4X1p8hsmNfPHbN1fRe1BZ1rg2/1JZemjzPugUo2wS/Ogd6WF8WUjAznlDzacaVL033c13flj1VEPNd/N7p7+4kbOBNbfQYCgolJPXXbEC1oiyES4ZR1dNb0WP27jKjhOvS9DHifpbUnq5vC1kQ3FNhdFUXSk/1NdX1QWHoTWlLmXPFtNL9CoSB2uSIpOiorK2UNsS3JNxzmwwG2iXtNc7mppyHK9kJaq3BFydhRyO/u42jkWvJ+4Qbsmmbbm5CtzAHc3voG6Qx7FXPq216iwlBj1oCxWh6Ru0sbARwisjdxdZBt0mXwjFuQoZtdWhjbjkngQj7VIMbxBMGmpGC2H66tVqdWExfbGU11i01uprV9GrL7MnMi47JTW1PqWrbA801MrpfLgnuXdPinEnhLa0pqSktLSkpKa0trampja5G1dxv/M1CqvxshSvDDwgNIFJJd+w4fm8pcAncA7og74W3lU32FMz5HGDPPcZHKLjs2Gei+NmDPbU4FJX8bvvvnVK3voOVZ9JxRx8mp5HXU5RcIG6pGQJ9aY8CWV7Xrt2xVJWX3e0a3fdub+ePgmf8+g1/SoZS0YFBswO6QVzfefOQ83ZzXE6DRh08sYzfa9eAP7zE0vmrkt7NvBJBUkk2YWFFAOVnziJddewn0I9xY6j7vzNIbl5ByPvSvHyIKkz+7veh9P8hwGnpk55MuTPr9iz2pw2e1tvOOTLW49cqD8KfM8bKQsKYUXUy4rEOKV+VWm2QQOg5tXl1Nf3steOBj9MJiyPW5/8WMXbWxT7ta0O6OS7UmxJadvzN836eiU1oBM//+9vPnz+fcI0ymXpdrG6FuXVVjvrHNk/Sj7S8wmbt5fD6u3dX+/twzD/C+XsXqwKZW5kc3RyZWFtCmVuZG9iagozNSAwIG9iago8PC9UeXBlL0ZvbnREZXNjcmlwdG9yL0ZvbnROYW1lL0hEUlJDVStDTVI2L0ZvbnRCQm94WzAgLTI1MCAxMDE5IDc1MF0vRmxhZ3MgNAovQXNjZW50IDc1MAovQ2FwSGVpZ2h0IDcxNAovRGVzY2VudCAtMjUwCi9JdGFsaWNBbmdsZSAwCi9TdGVtViAxNTIKL01pc3NpbmdXaWR0aCA1MDAKL1hIZWlnaHQgNDUyCi9DaGFyU2V0KC9BL00vTi9QL1YvWC9ZL2EvY29tbWEvZS9lbmRhc2gvZy9oL2kvbC9uL28vb25lL3BhcmVubGVmdC9wYXJlbnJpZ2h0L3BlcmlvZC9yL3Mvc2V2ZW4vdC90d28vdi96ZXJvKS9Gb250RmlsZTMgMTc0IDAgUj4+CmVuZG9iagoxNzQgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggMjgzOD4+c3RyZWFtCnicrVZpVBRXFq62oatExGhSE0hMNSoaSIwGknGPiguRKJgRt7ggaLPT7N2ArN0svdzuRhqaVfZFNoE0SDCIMZhIjBqNmrjlYDLRE5eYRZO5RR4/pgDjTM7kzPyZU+fUqe7z3n333u+73/dElM0ESiQS2a722bRg9GMO/7yInz6Bf0EMxPRb3rDaFuzFYG9zePpkm2nYMhVjp6DfU5RYJJLHZq6OjkmOCwsJTXB23efm7L548cK5zh6vvrrY2VMeFBe2LzDK2ScwITRIHpgg/Ih09oveFxaUkOzsuiw0ISFmyfz5iYmJ8wLl8fOi40KWu811TgxLCHXeFBQfFKcMkjl7RUclOPsGyoOcR3ObN/paHS2PUSQExTn7RMuC4qIoipruGbU9+p24+ARloI9v0NshoWGRWxe6us1NmfequwdFzaQ2Uoupt6kllB+1mdpCbaNWUfOo+ZQX5U6to7yptygfaiHlSE2k7KjJVDQ1hZpKTaOepl4QmkLZUFqhIacnvDjhiNhJ/K74F5tQm7u22RJGEin5im5kZjHJTM9E14mmiV/acXbv2EXZ5dk9nPTGpE5e6/DbM2BFXyu/qkrExw97sVlV6rw0UIJGnZNKckeGHJXbd6dtAUZGd+R1QAdY4bz2oL7ffpaV3qaor8k3mvKKpMdwki1+IBkkLkaNKRs0TjGbIIaT0eWGB6ZuOAZntA1jWxS0F2QXZTYy5DxfwKITuWpLqiQOwwvByktaRThzCLOGxPx7OMA+8Oue89rm3TujuLs0mZ9pK6M/L8zeISX5dIAKvITYZsN5Uy/0wjmtZTwdLxX0SHENjRPudp/+rDzQhyPx/33xWPH8z1YRr+SfZvF13NnV/1HxIDhZaZlWppfBDlhpSjcIG2R0l75MAfshU6tRZ5JnySJH8hJuyjHrjZDnVFpfcpiz0pH6BdpA2AkbjDHG0T019FkoVVfGYzipcyR+RKWIDgl9Ue8ko60mq8EKH8AFbfl4OgGG9HooBYspr7AIF2GgI3qTpIJM0IHOCdIV6cF6AYAaw13TEeiDT3WNuvFurofUwuRaxoFHVTvv1Crqu4dX74n5UxjG4lRigxSZTeYQMaHIVOKAtnPQRXhsf0IHjljI2yxZAOjW1wIXOrulhzt6yvqE4L2pbcEde2EdRDA7gbiRBdy/ujTrvng4hL/O9nz8aV4bMFY6VBumD4W9sNaUMd6lpprMhGytSpUmJZuEI/bhYVUxGCHfqeKQqVNo0X69qzYANoOvKWFsQzV9CipyqqMQyC1H8jc6HDKWcrEySZnhB1MXdMMtbf1Yg2LpZTpLpxQ30g68QiDsEbQV4QvX8am7YozEBBbu9N2+ZVSrNRmQzsRUJTY2VlU1dgU17Nm4PWRdJKd/KCEv/wmH6o1fGGvGcCh9zM+VesthqQOfomrlpU2iEwNYNyDm3fgF7EEoSsnVQUYqp9Pp9akZQQ3bDYnAEHf5Mn83tEu6kiHtzf57GngzMrn/7Jf3nfwykdMW6vLTgEkCdaKUTKYF9pTnGwwVlVxt3bGAQagCJ3S13jjVldisqJQGdu4zb7SsLF5XDMeZpsbuR5+fiF2TzxnSDVnlwFRCYaWQl0LAWWzFRVUifH4I53SKMYqfzuIiK1mEG4Ileo8AtzkaJuIHUkXPvC4/f6F/4CtuIHgrvSY4Ing1fFXJOQw/q6rmpwpgmvAmW3eso6jTIACpB39NGISDnylnHMgeHUSAFtJzVZosMpHkOpK/YI32gNYMZqeaDjgoYBmuW6nLFJRio1ExRncBSou2LBIXk+8dLUqLtlgo8EChuXSMnq0Y1YwuraIz32L20LVOMR+Nx9k7cweIzU5il7swpkLR0lRZ01CRdTC5gGsr6wcLMBcHAldIY+nduqW6VbHeCRv8YR3j8WvstZv9R96t4czb2hLagcn7B9yTjpaoAn+ZDHot3KJ+dpZLSsSW7W39Jz+8jL75AoO/HGcwru3mH94S49FhV1ZVqwaFAKC3rEFyAzLCpSNpdCz4zxBoUWk4KwzaUfhUWzE+njOgt0HK1xhobBjhTVnm1IPgdBDM5SYzNg+LHA0jH0l+Z26V4abpKLwPQ9rqx8xdCsVtUr6YboPiG1yDlXhLFKAGVQI5MHLa8clw4YpuPqJbjC3D7mxmid6gFFJbJ2uV1EI9VObm6w162M+MmP9HihqaDx+5W6Ay6IrBqRosVVK+i26A3l8FvJL0bwnytBs2mJLHMf4V/GOlIwuFkepRtePuZvQYU5COy2I+DJVsTQHUXQ3ASWQJcZ7tTOzJNKRdcAa6HEeq5oCuaH+6LidDI5V7rkzaLYz0rvrojuD34Rw0MsZmtgif+66uG5AFM2ENUYzD8ClhbKvbcUAo1fM+EhSLsQEHWdwjQRafu4bUIzLlG+ImHXF5AkjxEz0oNfwolHsEHjwWzMddxTf4j1h0b/Jc7pvqTlZIiSeWS1qg4BgncI4EtqHnxS/aMLlNdPQsVty0nhWjB65h69K6UvqBQfHVi1dO7u3UGaW9zT3GMtBqNBpIY5JLUqtqissrapJa9gTu3h8VyoXX+hcHCHhQS72WRZaEdIRLFdHZ0RAPm9vl+bmyTN8I8GOW4+RtyOEz+OzRr+uzzixt4zbVbYJXhFUyyDLG5sXVQztUW0qNJgZpE7tI+cmJSrj/8FbZ2j1J8LKL9CTxYltQqlu5Y/EuYkOov/Z+UF97/Kb0d3fEPf3/YZAzdqxTpHF4jyYeT9RtxPT/dEh8JMD2Sz/SaC/CWdfFmMiPsM1xzaGRUfEhIU3xLe31zc0ceY34sjL63B/Vtcl4zWgRBvmKrmHMr2gfNRyR4gg9FpX/uX88YtzwW+yf5t9svGEsgC6w6ru0fzBtZfWwo1U0nMhfY2v7j5b0jVpRmDZUHwaB8Obvht1Xq4jP0uZoc6QkckRBlDzkjFqRyamxH1qEcUjRu2n3QjD4GEPH5KuSPg1FWaVyrB350bEwsUBTDhVgLsgf0y9lNX/8drGguorvxfx5/ie20CLEOsSQIsleiDfITDsEB8ytY4IlISTatlNiqracKisqyP8GygSiKSWZaVvWx0e9RCa+SWYCmcuoYWffMThawh2iATd3P+gfFE5REFP1b37CIdMuifmZRMmSCTfd0QMwHTDlW+F6YvM1GEx5cIDJ1xRkJJMc4k7uk3uYTTwqi/MK8g9o88DA/Vuc9kti/AeaWLxHstEjKUOrzs0x6CtSuNvL7xBXIGogoZ4CdrZz09L1eshhck3q4grMQXe8zwkgka3V6DkKvLxVjPIyFtwDt4TJVWqtVlibVaguKL0tWPDp2GO7ZMqoyMjqKGtVaYHZPDp8aGoVlfLXxfwd4fzWkesRY6CPxmLQXoyZg2xbTGN4eExMeHhjTFtbY2Pb6C5l6/CEVtHgPTwh3GLex0vsZcAGoiM6IA2rVgOpRh3qAKsvccKfn7AC2lXxQykfwwM4DZ/B1dIP629fKWkXZPGcomZF2VbDKlgO62HOfr/o11enh8MokgLxqqzvCc1p+EaMZHgK26wBOee9fjaEjF5yGwQBGzzEjBgF6Ul34QJkkoG8a3BSeK7BgGaUhQG0C5S0SUdD3cbvkLplFV1CCi0/ifl23MgGS3RpKu/UzOycJSB4P9kowWceHW68daal2am5ufs4XGSEq5ntZfIcYd0XvLK9J6eovqmioya9dQ9Xe/yTdy8A88vJN5as2bVq7XopURG5SiVAE+nEvylxEFi4ugyjLQXVEhJYRFvthiZxdjYLq+wntprt7YcO2k+mqH8CdqtwegplbmRzdHJlYW0KZW5kb2JqCjMzIDAgb2JqCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvS1FCV1ZaK0NNU1kxMC9Gb250QkJveFswIC0yNTAgOTY1IDc1MF0vRmxhZ3MgNAovQXNjZW50IDc1MAovQ2FwSGVpZ2h0IDc1MAovRGVzY2VudCAtMjUwCi9JdGFsaWNBbmdsZSAwCi9TdGVtViAxNDQKL01pc3NpbmdXaWR0aCA1MDAKL0NoYXJTZXQoL2Fycm93ZGJsYm90aC9hcnJvd2xlZnQvYXJyb3dyaWdodC9iYXIvYnJhY2VsZWZ0L2JyYWNlcmlnaHQvY2lyY2xlZGl2aWRlL2VsZW1lbnQvZ3JlYXRlcmVxdWFsL2luZmluaXR5L2xlc3NlcXVhbC9sb2dpY2FsYW5kL2xvZ2ljYWxvci9tYXBzdG8vbWludXMvbXVsdGlwbHkvbmVnYXRpb25zbGFzaC9wZXJpb2RjZW50ZXJlZC9wcm9wZXJzdWJzZXQvcHJvcGVyc3VwZXJzZXQvcHJvcG9ydGlvbmFsKS9Gb250RmlsZTMgMTc1IDAgUj4+CmVuZG9iagoxNzUgMCBvYmoKPDwvRmlsdGVyL0ZsYXRlRGVjb2RlCi9TdWJ0eXBlL1R5cGUxQy9MZW5ndGggMjIwOD4+c3RyZWFtCnicdZUPUBTXHcd3OeAWJcTGrnpqbs92JoqxgH9GJSUhxBlr/MM0ohZU0ONY4ML9IXcHJyd4y/3h/rzb+8/doeCBIAWpWj1McfzTKKa1JlpnGmuq1f7JVDtJ7GQmdd7COzt9B4namXTe7L7d93bffL7f3+/9HkmkpxEkSYrXbSmrWF6QenxFWEAKC9OEl0UAeScrJiwZIFsEstOHF87IeUko/57woxeFObOIl/B/hJZoImwETxwijhKniAvEFeImcYf4jPiS+DdJkNmkhGTWaRtbdMq6eoNsiSJXtrywcM0y2YqCgkJZiZrVKRVyjWyL3FDPquUG/KKSlWkVStbQIltSVG8wNL6Wn280GvPkan2eVlf3Ru4ymVFpqJdtZfWsrpmtka3XagyyUrmalU3z501367TqxiYDq5Nt0dawOo1cp9MaVWytoVGnbWR1+qbUjTVMDU+hfTtejUfrdKwc/8q+1yRXsSpWzWqmprU6g1KrkatU2roUp1xTo2L1+qmvvhnS6pSaWqVGaWiZWrimWlWtNdQrlDqFiq1RNitrWA1bJ0+tolfJ9fVqeaPeoCUIgpYtSFs0n16RT1R9f8/yZWTtu3UzV68hSDcJiCHSQ/Kkl/SRfmKQDJBBMkSGyU5CR+wmKokqMkJGyRgxJxWKdEJJjJGryW7y87TtaWOiCtEB0Ufpa9M7MhZl3M1Amd7M98Vvi8+IH1HzBWfOZCs0JcgrkzNEkzJoont6QDzeAlqYJ/szL58ZHA3Fxm6GrgEPFTUDq8ntanFIDbk/XYsydnMOhwvYgM3v6nR8vffG6wMo3Wv2OLsBFYqCKG+5Jr/BGIc1J/aOUDkTPYqE4EyQEz9IiARacNKwAGYgCs3HLdUXMCieaWoBRmMP6GZgXyYshgvhHLgKrkK4R8UM6ns2j5cL9wpb4iRcLBhFggQeo9FuuMscdfFWIGlvt3A23hXhGLgbVSJ8cZwLk0q4TktniOejUSnchZsCKXh3sCMAJNFQOMIDn9PPuHm0Ei6vuAg3wU3z/IGDMX/Aw/t8IEhFrGGz1eHgOOk3jo1jxyb+iB3bJm+sth6oWm/dDNyUOQpC3R6+xyc98ug3f4EZZ6M+Lw+CIGj3ujx7utELF1hY5Iy6vSZAWc3A7ApvPrOBiauH6t9voLDlLdMae5inlt1PiCYWY8e6pwNjSjmBitFCNAetQqsg7mFxyrFn8/FMVIAyIAXn45bqC1KroZcTMK9XOBEn7wtQNLEafkp3BQJBEAadjsD+YPIcjM1rCzqAC1Bmq4UzhzoiHYzQh0AyjoDR4rYCu4QLWyIpOTGpcAJVTiM1g1YmeTKztflpcPIUCWxQyqP7oyJhDFv0lC1ZlBnFUOIv4CKAuZ6DXvEdolY8N1+QiRYBJP7CDOen0okbEmaPkuN98PEl0UTtCO0A+11OUAR2/En56/buxlGuu//SDTgLzgQphREnOOr2uHgb3+qxADQblKAcfQWluNrWV3us9INtfh2gkGgTSkdilP47lAnT4OxbMOdCP5Mo7Wr6perqjssdAyAKDvFhnkK/gnto/fYNaBaaCaillY8f/Gv87/fvfPD6z44znabB6ogpBTglP2X04v/Rf+r5LM5r6hVux8lx4aIICsIt2tpt91nAAeC02dsQnxyfZz/gdoEOKmV7MMQfDkmhWRiE5uRguLkT+IAkEk4lLm+PfkeA1wgP6Ig/5AfRqdztsDhcDmnyAuoyWZ02YJUAS8DWZRcuoNi8mI0HXkClVgs7AqYQk4xDd4YQSBr/b4ifkQtfCZfpQMzDAz8VsYS5drut1SZF5uRRhGGth628DUg4i4VzAVfAzEA++duQKeAIA0kMeIOBLgrvJ25EkIzgaApzbwpz+0SCH/bT239vPqgaKBsr6ynHwckqRmkoC4lvIREUQ/H9B3fPM5d+Em09phuvGm+5iJMp6zaOWhYUl0ARjqJ4bcGPdzJHlfToH259BTMA9fjSD5fnbnht5TtVZ3qbGd2g4VjpHWr9Xrp6XckrCM8v2v71Px7d+PNnH47Jm3uZgcYjqqtFKTQowa4mSBgURPSVj4c/ASEqygFLK3AbLdLq/JJ8NLesze5040qIBeIcc3nccQtMq7y3+iKifBafOwqocAREQ+pPtn7MCObMrRvVbwErZY6A8EHgiYelow9vPYRzx7sCXg/OVhxPN+/i3R5jGKWdLfxrOaQcYYfHDCgLB8zW4beubGSSg2gHrR5S9lf3Xx4ZHojHKeF65rDmuH5Uv61BrTMaqRw4DCsek397LILboJce0vdrNHq9RtOvHxrq7x+S5ghO5O0VavsFJS6jqhsieFJ4QoPE0Y8gGfR7cMkL4LQB3OKC8hK3FO0TgxrQoHi3XsO6mtwdbocD2EF7AHS6rzvO1UV2ejmsvo5CO8VADhrOsafV17nTOKNCINKJP/Qwm307Rw5cdIaxvJMUrBWDs9buhpHmXk2nNnTvyMmz4MMUMkaaLMM8MxMiuHKiisaF0GgELS3S/6wS4zMpHgc9Pd+i1/cKyt5pdBXKooHivU2ItE2jURw298t/nr/tkUKMfhqMJH5xYugU3+eZlgamoN727TrJnXdGppkw+hkwsuuU4tj6TuWU2dyUQOaa43xDrNxrmVaI0StDppGG3uah9p9bCw11leCd1H5fOyAkB8jxAQEN4IKELYeb0VKYizahUrQEvYo2os1wKcrFB0spXAJfhRulyXNoF221AbcbUM6iu3A2fBPK8KlXdOJhxxv3mB4Tfa78eDEopNCbSIZLY1F9vv/TQmkOUvVOvohNYgSHaGLGRCEd6sIKvFTQHmszO+1tNmly+5Mn1jbM65RYg+ZY1BvoCkpzpg6thOhzXI8CfXhXNwE7A+eKD4HD2ON9+6Xosng/2Ic9PnxImqPvnyjG58yCiDgxIzFTOiN9Tq05OytxKDsbXy8QxH8B7GDwhQplbmRzdHJlYW0KZW5kb2JqCjI3IDAgb2JqCjw8L1R5cGUvRm9udERlc2NyaXB0b3IvRm9udE5hbWUvVEZQTldUK0NNUjEwL0ZvbnRCQm94Wy00MCAtMjUwIDEwMDkgNzUwXS9GbGFncyA0Ci9Bc2NlbnQgNzUwCi9DYXBIZWlnaHQgNzUwCi9EZXNjZW50IC0yNTAKL0l0YWxpY0FuZ2xlIDAKL1N0ZW1WIDE1MQovTWlzc2luZ1dpZHRoIDUwMAovQ2hhclNldCgvQS9CL0MvRC9FL0YvR2FtbWEvSC9JL0svTC9NL04vUC9RL1IvUy9TaWdtYS9UL1cvWC9ZL2EvYi9icmFja2V0bGVmdC9icmFja2V0cmlnaHQvYy9jaXJjdW1mbGV4L2NvbG9uL2NvbW1hL2QvZS9laWdodC9lbWRhc2gvZXF1YWwvZi9mZi9maS9maXZlL2ZsL2ZvdXIvZy9oL2h5cGhlbi9pL2ovay9sL20vbi9uaW5lL28vb25lL3AvcGFyZW5sZWZ0L3BhcmVucmlnaHQvcGVyaW9kL3BsdXMvcS9xdWVzdGlvbi9xdW90ZWRibGxlZnQvcXVvdGVkYmxyaWdodC9xdW90ZXJpZ2h0L3Ivcy9zZW1pY29sb24vc2V2ZW4vc2l4L3NsYXNoL3QvdGhyZWUvdHdvL3Uvdi93L3gveS96L3plcm8pL0ZvbnRGaWxlMyAxNzYgMCBSPj4KZW5kb2JqCjE3NiAwIG9iago8PC9GaWx0ZXIvRmxhdGVEZWNvZGUKL1N1YnR5cGUvVHlwZTFDL0xlbmd0aCA3NzczPj5zdHJlYW0KeJy1WQd0E9e2HSGsmVAMWEywgYxMCS30EnACoYXeezPG3ca9CXdbLrLKkeTeiyRbLsjGNhjTApgaWkiAAAFCCXkEeAkJCcG5Y66T/68sm+T9n/fz1lvvL6+lZUkzc+85Z5+997kSUN27UQKBQDR/xdpJEy3/jeAHCfjB3fi3hB5Y90relmwDvYTQq/uewSPr7fi1/VBTH+Tel7IRCILCkxWa+cEh0WE7fXwjHEd5jHac5OQ0fazj5IkTnRznBnqF7fRwC3Jc4Rbh6xXoFkHeBDiuC/bY6RUR7Thqpm9ERMh7EyZERkaOdwsMHx8c5vPB6LGOkTsjfB3XeoV7he3y8nRcGBwU4bjSLdDLsWN74zte5wcHhkgjvMIcVwR7eoUFLXILDHRbt9Mn0I2iqFVzgzbPC94yP+TD0AVhC8MjFkuX7Ip0WxblvjzaY0WM50ov79U+a3zX7lznt94/IHDT1GlD350+w+m99ymXWSOdR80eve2dXmN7bx83fsLESXGiyVN6UtRQahXlRA2jVlPvUcOpNdTb1FpqBLWOGkmtpzZQo6mN1BhqE7WZmkeNpbZQ86lx1FbqQ2o8tY1aQE2gFlKLqEnUYmoytYSaQi2lplLLqGnUcmoFtZKaQbHUm1QkNYCypxyogdQgarBATSVQHMVQO6k3KEeqBzWT6kUFUr2pIOoDypbqQ/Wl+lF2lEoAlJjqL+hBrSbFo7pTGsFAwdNuvt0+EW4VftF9Z/erNuttLojeF9XR22gjs5CpZl69EdpjXI9Peib3mt/rcu8RvY/ZDrdt6WPfp6rvpL4l/UT9wu1cxAPEpf239W9mg9irby5488mA4QO+t691sHE4MHD2wM8GTR10fPC6warBT9/64C3Xt8rfes5Fc9clayS1kguO/R2PDxENMQ05NeSLIa1Dxw81D20d1mNYyLBvhqe9vZxX2rYlgxltMfNL9ILatrlCfmjbcjatQJUVC7GglKfFY4/2b+2jN3vEbVAzAXS55oC2AczQoqpVH+s1zExvCTNV6jS5Gq3kMBpgg0B0Ao/TKLRyUDgEroMQLoBu0F2FvXAADqubVZZboulVEJ8lq2Owkc9lkQ2+bYOlIlu+Bcy8TbPUaIe6XUFeVwaID6Fu6BmLDbSLDBaTB9VrjmuroJKsvce69mIZHJKg5fTP105fupi3YS2H4//ptZsgDNS7GbSOhodgDmiIL/HTr4F54OwavIIR33pJ4yEymwBafOhqdupWSUdW2gRmQUXbWiE/gn+TRW+h7cbaPbWPNA5m2lPtrAoDD9gGHjry9AC6SW2UQgQkqVSpMizCs+wxizaodGnZkO4A+caSAxrGTPsq54EXBMAKjbfWclcZfQrKUsuC0XJstsczcFp8ZOD2EeBAUqZp1tZBI5yCBmXH7rdrYqqgFHJ06Vl5aCjytkeTcYpWoVOA0gESpTGultrU666TRDe/TnQUCXpXxi4zY9u2mdT4shHtM9shyX109tm85wPEPArju7FITddps45wqK/oWf27G5dtnY6FksfJ7LOyK5fgBvP1hHv4Ta69W0CF6JZW5iNpr6DFL31Usg+48AB+sAg5fPPo71873cTCfMkKfIfF/UTOqqw6CapEq+kfmscv/nCT03CJLa+UmfiJRkH1fbT7vpD3R34s6j+yFffG/cZgAe6H2Z/fQW+g3j9+j8QcDsXOrCvsMIQcDjsI56EB9sHJioNVh48YmuAgHJBWula6whqSSh/YIN0hddkRtAWY1xVDDx4K+V/4B2zj+Y/Ta4HkPUDloQ4heV+jDdV0VGt/cVSkTJ6gkEuwEzbgJeij1FzQQoaDwZR+iDPTPqRQnuAG2zVuHYUqpT+DbFlxKPLG39rjTXRn/KIG3TWyt31wrbNMEfQHytx9ErSBtm3zlprbxpntTr/g/evDTAPET0+jb1nsgd7Fk9BKNP17JEFMLmQlyECepOZS8DBHJywAZiXevAcdl4h/RC1o057zSPBoIh6h57TxoCwEphh0BglKoksgS6ZQQGIKt2Wud8PmY++Ag/gpXoWn4SnYlaS7BW80o7FG3qE5zGTXegUV3x8gfobm8L3YyzQebsH5tSz5Don4brtvV8Ps0bRoK6EKjqvq/9hcM+kcOiO2ecMXwKCeP3+PWCQe8wPuLhE/mwVuOyKljA4XsSicrjl+tOY4MNfPT8E2uPeC6XM9vPT7QyTxBtCAn 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| [2026-01-18T21:26:50.521Z] [INFO] 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","originalSize":210320}}} 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| [2026-01-18T21:26:50.530Z] [INFO] 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| [2026-01-18T21:26:50.535Z] [INFO] r7bw98ZyAF6Q83KM4NeJyzFS2VFcPDB//cadwvcKSw4ZgjBWsUshf0SHtrQzaBXwCjyhgiO5m76Ak9BglIGAYvBM5JgHMu+wbHeMiUE0gtXJiHeQPgNRnjGWxHGiTVTS1CwpQuYeUbA0fe4OW6Ej5uTHtzsekzP4mu1V4PX4nLpGpEXuA4A6QccrKSTUUpBOzHQEq/rbJGm3lry2tu6x39BrlTK8iFkyyFs8OjoafjyfPQQfATjphNARNAnSwQLdV+eQOkeiACzo2P4JC0I3ZSAOqPCpkMcrCgUtAzUet/vyzOiT8C5T4ZDiR91OCLybCCgAPXyY3RAJcQhX+DWtNHgHw0h584VJgcNBzcr2Nwfp7KgL+vgz9D6auZNPImEzv1xh06eCJr7kN1gQ/f0LpJPOPOAoGPdOBXfUEUPy/EABt5E5w/oUkOJFqBoVf8AmEjaKLp5caLg5qFQZWcyu1vEouez01509gNjc+YJI75eYdRkQL4nnH4IhkuCFVG649q8BqKiiWk54nQgg0a5qNoD8LGeZogeKLWH69yT3tBxD+h7eQG3k7rAr/JjI0so4FCYewyvEyzO9V/AwAgXkCgX8nnxNX+HxcEjmIb7DW4UnANlWgc8bSRluVizZIuIV1lzwdCGK4IX5YG/ws15oZUpubN2pCZ5tpeFpUZLUAGZESTMBp3sGGiLf4aPBnYsMFzbYyIMjql8qzJYzL0To1UgrxG70x9dq+FBS6B+V9lyX5Ssn+P5OwmqzKwQ1j0+YW8xPWQ0sGCmYBAzha4kIavAFCF868AYDtcAHpnZSNPEp49F1n/FrK/STKwQlZLq8eiKMBxwrOaVsDw4dujlMIi3KrkPIQ8OFsIOCRvcU7GRthYcBLbCsqNV40dWTdAPIQ8PGma0EhdUT1mJADqDzuRDaqDzT+Y9qUH2eIAfs2r0KpAzvRwvmwF3qIcs+4yE4sIDbPzQhf+tCNpo4bbK/5lFK1CM2/gflyxWaY0Z1VBCAp4Rrxa/BghfVo8g+lngNKCfhSErDKVYEEm+bnLqkllusyz9VjlDkWy5FRzLMfUaefxToKD0w2Nx6DVVCp7mJwsBBeGnMxPbwXkbPZYDDjQwXTLiMyxB4LNFl4T4/RRoIPkm4r+Eug6YnKajxrjeX0rtB4k8xumelWwpLFGF0GYVVQ4DmpjwUUAH5cEDuBTo0FbvoPeOJ8H5ev4z7FJPw0QyIrdCg7UB3R/msghciA77wRm8g+D6MExsDoEJhHyFNlhwQIm29MITFragGjiVvoNqQvlLoppUkmeqSeVqWctGWJRBfArnGWp0ZILpQl0NYv/f71DwrdQUcSBxzrEGYwnQ1gFNyTDeMFohnsM4FqnlTuNcHAYaTMy2pkFiwU6G8V4sRK5N6aAGYWrmrI8wGRho/pAIs6a1ag6ulqPgssSJnEn4nWYvyKw9nhh4DutWOByz7MsR4DDlWgkKedMamjyK2oYAPs2KtarGYfrNxGgaV8NWg8WQ48eYvqiEqHOkbrTLkbAbOY0PMbVuZFOeEjnH5CK+zgdkyItuxT61gqJh5mJGpk8xkuun6x0cK4eKCsSVWi9MZ3FkWbvIBMQ9thLVvzRWfIouZdR7Ku0KOjOXZLrN+HTSZeQ6WJ4fyYiUHEvZSJehVun0P4vchppMGW3vAzrTsGKUgBlnmWog9LKUAt4M6vFidaKIRbOnVKqvETYerrcBI1rPVSLOZWWbwR2kbqoFIc+31SHSnC34pJjezYBGeZox6NhWygX4kY/tZ06NctVppAB/UnieJFmHNpBickSyCc52FurPVWEKy2pjcliovkKIQ0xMKhqJx0WMTsnALXgcUZ1qCk6YGgcBswDnC22tBA9SYCoBDx51J7WPEVwDAsiaqaOpEFKhsVYUV5kEl+fVWoYSpzfObDp1IJPszhQrnuAjWed9HaJYaeTOcu8gm9qky8bZVlF+t6htPTi/vNR5UAdwvcqjgJMBCGYwr6q+5nb4l8ybiprQs5KC14TT9HRkXESrsyvAtjnmWQlHu2CqAEzjeeUySNs2b7QejKkVm8jr7qavEgGad3eAzZ/bOK43cOTdm+hZocnRvk0bst8nOI30hFD542PT/0t6EmJtoudpUNdUm3tBWg548x+SlvflzQfI+rZ9v+jwjf6Q3P8T5vyHEfbHJSjEZGzY+DEmaAd3N9Lxy4xxy/bjGIP0aLx4h3T9ulYOlBTjOANJUMZkc5U2beCwqLLRNMNeagFsH99jdlHoFbeFmPDWg0APwCjfxfqprJk2iRBvovVnsuNxJu15rJ5FSQQUALBb7fFIisPPVnofUmhsaVxAMdpac15OR5aBCSHmWtLagQQRc5MhYk+9mUgL60sVdaiVHCRu0WV/k4olOfbINclP2KBQwdkRKfN9ER2o6eA/3wPjPacLHjRpb/1agWpkcaz/dJsE+dNl9d997OiZbT9c/d1n4j6X2RLgPpbkwpTsDd3FSJkyj3xISXvSOp6ct09etgSQ1PRFeu6F4rNIjXyqAEz/Xvp0QvcKiLUY40gRKWJ8DeVFhET5GWP3jA6AhmmmQjii4s6jtppch943UUiD6TN/cfw2oRHnqsuHOnrZrpPRS0QoxGoXXoNhdUzJddGzF4AxW/+nz66dBTMtcBETa0mXU1gmGFVBUjin02+O7uTp4iyWzSCp68I1Fj4WQsGSpbfjboDQgMO8UrU8fKX1pE3b7IUF+RebirwIlnOyGKvFJdq28NjM51vZ61J2OPR4N3TStubsHCafan3DZavyCfscMjKKFRekAnDYXxhPMTWFjJtkx41lywRG26BCTiN3cvCVKsS1YtzaUNalSoe4a+iAabKunfrsdFTpL7ELPKvzgVcBrdQt5DZlW3JR7NYUi1AQn25TTaGd1otRrpAEAPcwLSSr9xE9XQlC3KDL49AGGk2afFgbwWNUtUnNdrU8qw29qdB+C4yL6ULRg/MCi7lWEpMLlDQnHVIOcU0AMJDAkj9aZPx2JAykG6SH8SuOjSk+05v5VCh+Sm661pQBb1h1b8HBA/f3yVKmREOoMC183tSHp0T3mGNqsux0gq8FBGLkZea+4JhE8OGSDGxj6bw4YZDckhqK1kAJLA9cKVQJJRTggWEzxDGVtoPsE0b6mtQ5t20gAm21c+05C7zawBlaxE6ewoIOMBKoJNYyUmG1Xc/JWqsOEMTMWO4+bsD+Nl4HouyWDp488ifrnRPKXa6yZmmk0bVhpUBh1Q0q+X8tzmfuSD3+3/qkZyXDWD2EyZLTZZpmXto2lrrsM8yieY8mJVX/cGORjVBO7YWbTsZ3jpAK/tXi+NwLMm6qbxfEVHjdWAnTAn5iJtqe4bT7cxnG5Tl168ovAC/hWYjQuPD04oNPhttt+vFDGyznq4Je1tVpjWwIblKWb5tTE1s7EJAq1nirewP6lFb7nvRvfBuqnOpbb3pFFMP2mcrSH+Pg91dXnCzOULIpvT9dn6EsT1qkYHTntEisNNMTzXn3NWFJi+QLcu7LEIrrXI+Ct9iA97rJkcP7cNS5dt4xP2hS8Hrap4Ow4VQAu7QieHmSN+KnsyJGx5KixzIjChwh7RfebKp6ijcxqS1GBtkDxDBdpRYGLNgjd/E37IE8YajwpZS8B0+rdZYS25hVUXtR7xs5U644LEUTTevnafeuK3vf0AFG4ISfgG0MeJW1EuvijfsWwhj0xoj/mq8gWbvyIdwaIi34+3al6Lm59kBxHnzhNYBPSdiRNR/R1hauM7GSXGciqKNJuj9TJON5Z2ODSsR00tt0qQuMkA0fL/pj8Aqkom9+hmNJL83JxhuJ74jQ7K/i3TT0UrhopyTWxFUzNa5jj96D1nx5D0V1NAIv93Hh8ibEJmmYWiRjUU3u2yiLaUOd0NUJnkiLMuPdZfxEqJMvVRmEMjh4EcuUXsPY5ttGrHihnZDrkYx0Cti+v2kgIFx+W/gS74Fbuz+qbSUNl8ys4NntVQRe9QnXR+gLEFLh5YKPBjGmisxztWZv0zEIS0VvCaiI0KKehz4GiuYRdWb6PjAa7+zXljZh9Lohqut7etrDARe7R38f6hIi2kSUzJudMP2NG6XzOawOrwBog5ZU4D/y1IhW6Z2B+LEUYPrm2rnBXW33TOQgRqU244BI0G016F2WeYO4phPtuzY66PnrCobVM1jUF587g9uhJiLB/jFVPlguloF9f43MbYIoy+GCaFB5KWUcZoNwUoig5+c992JuOlTuydN9Lq7Jj5wLATiFdbf4mNmmZj3mG4tFjGI2Ikz2ViRlWFrkF03imgkYJ0ySzWSrdxQObcwZBsOMj++RiXh76yn+igjMsrJm9crJamLXKqLBaON6z0PpbUZzicOdgOHOtGp1nCWaG1hSiABB9NlShvs10uBtnGBwBGt6wIrb5FIpVAUoOAIUo7TN+GaU9rZWxSVunnpS7bVkIeq1bmuUM7y+7LvRJYrjWvTkZYEluJ/SD/toPPfTWh9vXr5Y55GdNyqcZbo+WkC7CMK3pOtTb/KmdH2n6tZSoKe6RVtH7mPbRQV1Y846giejy9X+hBBHMtUUFiAK7RzHg1KYAhSOwh7vqFlMvF/VYdRHAWYQXbtY8Fp0mDaFIRHKkC7mmmh3WAxVHOe87XLBQh7GZHNTTG4GDtHuCBc/1jdS1hnGfAdq11Iaobkktb3xMaRrmH0gJD2+BqZtTsRsAdNrNkBYvn6ZM3rJIExgYD8CB8ibnRMYBgzc1tXmzFF5m3B0v8tbaluJqq5Vxyx1bnoz5btUtqlJ+DXuyWqu/c4+Xcz1Ws47hl3mX6NEKnuF/A0KNzhiTgbUTcf3foZ04Bp77/BBCBUcrHH6H/L1AXWdl8FB3+PNX3hZ/qfRi8DM3X/tHCKY4cJyBOpRaI7xGa6Q5mEgx4F10vS88hwvYIOvlWWBMfIM5TnfDCjPuek/kdZKGEEfA6rb2YpwKGU3r6O5EYJPooxk5dMfyPz08xw2kej4b9dPfgf//hdf8YUDZW5kc3RyZWFtCmVuZG9iago1MyAwIG9iago1NTk0CmVuZG9iago2MSAwIG9iago8PC9MZW5ndGggNjIgMCBSL0ZpbHRlciAvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJztXFuPJLUVVl4nPOYHzFu6I7rw/ZIoD5AgEQKIoFGUCJFomVlmm529sLuzy6L8+HzHriofu13TPTdYKYEHmhrXsX0u37n4uH44FoM8FvTv+N/TJ0cffOWPz18eiePzox+OZPrj8fif0yfHH51ggJHHYYjO6XB88t1RflMeS+WOXRTHJ0+Ovl6ZtRmMNtJ9c/Ip3tDqWJpBG6foDSUHh1dOzjDwV2sxRC+ElHlkTVupIUwjPwVJGfHP6iG945yTqxdrPQitlR1/yRBXD9YbNcigtFtd4BURI/58tt5o5wYX9erztRy09MExOuXX4/XGDdZ5O64Hm4r4k3KG1rMx2NbxRlksKy3q1VoN1ka8+IhIqBhDoBVgQIiY7BXmtWHw3tBT7fyglFk9L2Nf0HwmWCNXz/Jrwa++TX8P3unVxcP1BuxyVrrVE1AwfsDQ7UsiZoagfCampZJ6IuacATEZwC69er0GuyEbvRopaTx8ite1G7RSq+34kpGRv88Gn5UJLsvP0zwAglptm/Vqi//FNhJznAi0mrx3E9nDR+WtMtuoL4JzXUYJvkx68CUk7aSxoScgKSGfceBp2UJmbZTSgokgFo0KnHETl2k3P5L+REhMr7ZYLJTGerV6S9tSg169WW/EAIUNk8wzBUaAmOvEYJQjAhvtBeRkssxAwkPq27wK5zVWsVF6kA6SZKuksSQUz35lNpcFaweVF2rkqFaRESDebJTQgwrHG6kyQ94rave08P5sfpoZ6nTN+yHC6iaekiCxWNqjGDRWhf0+TAwLUnZNRokBIpilx2zjaVlO2eSbNbihg1oxvYdaaqzDGTB00lzwaOSct8xyLt5m6c17zOwqA4r4tw/KWyAKm1aC6+y2DCVma8CSVowSsyEybQ0rk5WxMJUoVJldMWtjq2Kr3o5s8dgsW9dpWU15r2zmdA3UNFoZrp6cLFvCsE6KosVgY3SkKdgEpJ1E9XGGQivsCCJCBi4WYoAJA3C2i4LENG8HYWemkdAZ9JW3GKu3P5XVPSj2wLZfS4AMTZjVdwCFAJM1TEAvMugE7bPm590zRpwVI+D8OS9gxTCbyaIZPK1xtkmMfr22eE17LpiLy0oGaaiWHKbYhqe9AZXPZwqVRmXHAku5Ds5tGWy37LVBRz4FU+X3aTVwm9ryAS+T9sAUwZfJviej9IaP5M6CTXvBzDUrIqzQwMFKAnwhM8mEuA76idlr/eKaOILCoiqSxcBzXmzLiBpiJifIEOqChK7AZYxgxvSAfCvAwtfOVSPECVYuQMDIGLKmyhHXOLxjoU/7HreSAswQLgnoWJuGMkD/ajbG+owSkBM2loZykCzqsOvhGuTKCAIuRCfgZj47Ovnd16v/4C3AP8VTn9FbWJ9xnN2zOffcvSKbLR7jQ5i2kjCqrr/HRNPAP9L6EeyZEnTWIy0tcRz83Szl3hJMcnqKOS1sMAjI7g/46cLggPrfrjcGkQjYMz81dpSSjEH1VgGmO1LskfBs2t1g0ztsDoSh2BMm3ylnPyLDCtrMYfoOb8P98/YMCxbOAscmJiZVM4O3lnEW/P6OngZjfHcNUGF3IFvJoMFQ4qwhdtw9Z/8EndXGCrXAV86t+2Pto5QJOSE94+2WKGhhjee8/R7ewrg4hXC3U9q04Hvk7p9JEaSwsc9eCdgrq70/9j4m4IXuYvUTJ8mngekemRfcDnv6hHaqgrOmy2AYuo/6MAYHmCUNTsCAEP9gBsMHwkYQQsl2l9VitB0si/h/0/JPXMG/p6RxCJxcF/xgd1BGt0T5SivR1Zo3DnGCEOb6WvYzMOEZVBnv6tAj7GnonfCgXQVCbTBizn6Z8l25IDmSX7n1yfc7KxCLZtRywDADbdWg0WCk8wlP3kXhUZiGEEmYrqH64hH3So4z5KaSy6sJUXVxGdmamie5S/mRwighGK7pfUvxaQ93s5SrEKVRJUl1AR0XwbA3A/1kJvhmTZVJE+y148urWNhErc4eO+Q5OtisRiYJHKqdf4xbxdaFd/1obIMEJrF4I+0NdvkjdhmQncQe7ZDs5WYb3Qki261mvKu3+iyFctq4fpVVU3aRAOImW6VSHcWJk7G1e62M7Vp7bcK6dqcCGUJIOzVC6QlPkN9aZ7pr2UxItaHUcU54r7Xbn+ZYeQ9gKSzeKiu7EBSJ4eLACGsDa08h1kaJvP700slinp6SbxluU/emqqB2VS1ge0F1O02VGkPJ2FgM3FNLNqRWoWv6NetiyhJmo/hXYp+OXZk0kU02Nme6UZCvo8g9dAMXS6vZLWHDNfs6hEclmsPTVt4RGUBh2xcTtuVTBiWdIsFQ8QYubizhepPqVRqxLWRbH4805RPLSzGppASz89En/UqIsfo6e5QmLai5XrL0g7mzYA0Ndx5eaWIu5SY3IpyyLi90N9bo0j1MnI9TTg3T6EnTcrBffTMyVtVDKoz8dz11i6dMCHcipypAvs62HzZafBt+ViveI6d40wVfpNMUwFdXUDrV4v8vqHdAUG36fhVnu4JqSgd7BMXmvi/kO2zfV5fcQiou3YihYxVKi66LtOnI8BeBPpOKrYcJaqO8G7yiOMjdoZ/qmNWiO6kI30Bah/mpUjO8Y2n9zAD4P2NXdy+pfQjICP8SkipnMX3kr7Kb6+z7rMaTVgP0TUP5O/RUFSN+3tDvlxRTRXiPmG5sqPcVoY/A5/oJ9q2B78q5f1+KetXPfoVCKJg9y5n/kjp/rDCaUEwFi/xPLR67qygQ6OmpH8LZ6nj9snua/5LICmwn8MaR3OFhbbdO49ygjOic1x5QASoNGt3D+G4RIVTnUW04W0/XOPQyXd1tp6g9ETN/2+lq6p3Hj1OFSm8idErM50iviICCcFN/AzjqbQhqdUnzCmUjHbRCulGqfi+dr8ro75NYIlnZEstSPCRCWOzxy9qgeE9MaW5hvSusG2Pb0Mq9CE9oLjtIo/r8ZJ1yjAAbsPNWmiu1o1iqB/qxOciByFIjy07DhgcjZ+0Vsm7MUxE5QIis1W2nPwwje9oGE/VVH9+eWm5l7Hvqm5KV7ffbTUW538nXdhO2nZzVSfK+Su2hVdp6F225pqZKB0hsFwMoK/qzzfXLQzs76+ZCDaWRdRNeqzI6Nu1A8/vd5sCzaapYtZux1y45hdxlanTVETh2AM+tq1WNNPXmedftnLssVlu1y80tadv5rT48RqxFLvjQVsiqil9n8+jhmxS5FWaOomEH3jkCAfBfytTKiUDAapsaZyWcSJQ2wxx21u8XiOWIh7TBgIDZVYYMBaXxelVaeJn1Vx18M+eqTcGlCngr2XS5LXlQQ/0MQld+87z8ftYCGVXUt11iVEYPCBOs7pTRo6f+j0O63IJPja5Vc7cRmvpAu/2qXYAmjSVAVHasIQux0KpOXZw+krIxSqzrsjzkdvI+rSkOFE6UAWx5vJvzvCuztiM0ytRfyFbWuqa2lZ3tt2clCP4IthbODGodjaW3qesmu1aohsgOUkes9brr62M6STYlcmCeKws3edr001fOcftrWrj2RnJ4Y161wk9la1+XjCGkA9zRuV0nUszNh9OBWN29vHwa1en5ZE/nOJMHn/2hpGTG0v+kRn+jJUHPAgQbZbBtVYOw0ZSty24r+4K2NpcAJgq1OSpYs+eI/rwo6E6HO0EYb7seqSLZ5xP3Wujbo7YarZV0sObZDXxBtDziFp+ucBjvIZkN+WptoqfGSSvIWmiqCc0pzkPEKaLCDnYhfg5feah7ZUwL/6VYqPC86HEWsY9z1gGlsquG25MiZxbIkKDdKEsdjNXNkG2xoEfETgX/4Jh3SLoPDg9atY7grKus+7qW84qslSNwZQLFnfJu+1PSW0/XsfZ4lUb1F2Nx0nyPWJypS7/dmYfP7xWV3GmBT6kBRePGIDu1Vfc9i3u2O33rY+hkDCJA0zopi3jAhOl8Uttd50mu6XGx1YVbBQbRFGkaASJSLqvs4iWs6mS71iNaKvHOkFX4q7SHNpOzprQFZ6fOe7BdFwObWK7iUsbyXlH38jjD8EhqhuF9MFj0bRhRECjySfdgmJ0GT4rbvU/CqNN9A5GOhnfionxdY2p61/KGIHfI3RJqoI+LIbXCzykD5reMRpqpV81XAQpbH7+TMRJTskFxDc2Q2lYmse4CLTjh7htmKXweYdaaqyNqG6md1d8pyNJOYhg9/gdfSVMfxMRINwQ36ebT1FCoiuIO+I3/DhaY+Alt1kFzQ7kk+Wa855Evb2qk/1/wUUwpkB9r41XmKBwO/P2fc6QR6gjoVamTVSEhhKOjTU0t6earoTuYuekwwo+PU0BW/CkVFairyDtOlw04LddPTtbeA/wi1XmIlI0mT2sUBu5ORX8/Hy+wqdXnaV/B5YwDAhASpskA+lF5q7/s6SZMvfHXBA0h5LBuIntRCLDFsgF9JmZuIJcZE3xbXzhUU3epmi1iEuWX7NriKEExux/CIB7lFPk8L3JPS46CMK5uTd1dZ09TbaAuMQbZijr0VWSKwZ3GzBPGqdp9zGssTJmNZLdx3E+d+WIONz4q3HmbQVVpUgMBYxE+VIknjwWYW2BFwN/OwOwXApn+JVTmybfPuvkYuQQT4aSShRI02qoRqfdOFrGNIsBIDRitq2ikGz3c5lYm3XuGjpysKc2OoYpVGN0t2/j5uBk83uE5v6glrrrOmfrrVBOBlu44Nycd+VZeWics8aK6zp2mwV4flxu0Y+VIpRpHjjhIXUtv7gzsjP+X5SnLrOvC9WYkNNto8fLP8mVfYeeLj6RiiycF7JY01DpVFhYuAFIjWsN81o/IJiDfTSBiXb+QXfzxNNLpDuvHC8X9652M80ydJuhUCzPP26jg8McisH4YWkNnk1TSxfI67EFGLqNrYhESiZM1olOiTsFv/4prN8LakzE6c0dnFwgvDcPZCh6wGbxpeX2eVfhmHk9Q1QYuPKUCKbh+ERkphpFvs1IiIp8Kps7HMfNLd2brxK/5bAQpFibhjbBsRL0KCjVXO4jcqn55hxV4dy+CCnlgydm4wS9p4k7mSTBbnl1Vuak9UsrFvFz9dT4CWPBIzJjJCxlBYCzv3gsZqL3LYYqhq8/QjnfMDxlgvdLmun4oVY1u5YeoVi3bXJbA0Gg9XpntWdSDkgpU151TNO9TyGlEgJ0pmpCqLTp9SCR7JFHVRnPpi5da2uq7oQsmjen1vqOQZ8pmnMoQmp9uTXXPGFxHatZUUJlJ0WV/KhPSWZGdhBP9gcJx6asntxAOcwEGgdRYwCjFxunh7ltO81Lfwv129nRYb8LoL/afqVXnoQapo3bh1t+16O6xLuLmChgvj6RDWmCGrTL5F+NHDtTg2Z3lUv5mQdCOx9NzKSYdDu0UpjrfbBknmgMj5qWfkBZFB4VjwcrFzkHLLv43yU0TT5UZUsHNwZ7KLYpcrLmZo0/CrEraTKWnv0f2Z+qKczYd9Rzw0QJjXSqcdd9fCp+MR2CQPpp0k4L79oKVQLeNvjk6p3MVgPDeCONS08jip0jygFqLEnSC+b7nkrPOXWb1pBvSndMbWhd16HjbD3Z6GpvVMBOc1fC0G4R0tejh6ICWQ/F0uuCrgmAbw2a29Y9dut9GqkLY5C1kE8KmUq287xBWmloSt4tiVXX9bEsKDogihKqSkHTyBDZf7JhNo9c0VsZli0yBQ7xpSLfxFIci8184PF88H0zzWi5ZBvGsUMhEc0EWk78t1WS3+URM97PTpNzSi9xPI+kmvR878vhHiObyrauj6vmLT/s+MzMGD9JzGykA3rutlk66NV2NdjWmaU1fxFr+NBXP7VRIsekBeWtKGdiHq96xGDZ/4crepigy3jzrf/Foqu97fUhQmjFWpE5IMSFiCU/n96fKm/H8ZuhmenW+z/ohGQgdjul0ii+pJmn96h/pMdgRUnFVYzd0uPx6vAMNv0VVsAA+YVV/X4fk68gDSiogCZXbSvNLAzWqEPhojCyzEYFIXViB6qLz40JiGGdI5bX6PTzGIqhEbKkxKR0w02tKpWgZfgp6TspF+4ErSRkluR8lV2oeKdIvC/z/J6PPfw95Fya5oo9Pjv6Gf/8L6femyWVuZHN0cmVhbQplbmRvYmoKNjIgMCBvYmoKNDU0OQplbmRvYmoKNzAgMCBvYmoKPDwvTGVuZ3RoIDcxIDAgUi9GaWx0ZXIgL0ZsYXRlRGVjb2RlPj4Kc3RyZWFtCnic5VzZjxzFGU9eV3nN+7xlJmLadR9IecBAFIcjEG8uAYmMLyYZrw14Q5Dyx+f3VVV3fdVTvbOzXoMjhORteur46qvvPvrrlRjkStB/5e/DZ2d3/uhXT789E6unZ1+fyfTjqvx5+Gx19xwDrFmFITqnw+r8yVmeKVdam0GElYtidf7s7LP1Jxs5KOml/OL895hkJJ8UBy9jVJh4/ghjdxvMjT6E9bebrTZ6kOsHeNBu8M6sX2yUHIy0av3NRg9Ca2XXzzHDaOUjft1qhdnSrh9vBG3hJAZiGTNEjPwWI0NQwq0vN1s7AEw8flkf6+95etRar19ivpWDi4bt9GTjBhlEcPlELRoCQAxCjif6GJBqIUQseDA69vAg1aCdmPAwYFY0Qeo8VquVNIM2TtFY1e7wc4LWC9FHsBI4VB1sx0PksdKsIsYqZ2gsjmpWW2WHkAdrQk4IMWoAtI0Rl2Xl+nyzdYN1Vtj17zZbNTiro1u/D0TJMBi8vfdxfm1lwKG3YtDBeB3WfwKgRpvoLa2htRy8V+v7BL6WSmpaww7KxGkPjLxPt2oGhcc/EAKtcXH9240CXEaXE1vHTyGlBy4r/hMszsgGlu1mi0WdtHr9LgBw0lujyg5KmfVH6feg7XQEL0Ncf7jZykEoozvAEkKmlz30ejNIdsd83T/SPINriQyGuyACq5x2/W0LiE5ojsNhk7dWDU62MkqstdpKi5eAYaJNJbEuwUJH0EFzzDykbUFIuP/nlRSeAcAQjQrgOGyrYgS77h/nsVY68IwarI3gvsd0eW4I4N0dMbQKYHe3flTnlWnYef2LeoiL+vi4wvAoSwKtFNgWVCqkiuvvicHFQPj6gGCMRCEkNAjc4EkAOLCLS+IDJKrS0Po7gYXfPaTG2wl1Esj58Oz815/RvYIyYnTarr9qQNYaHAbq3j+oaLmoI57Wt5f1LRvLBlS8FVYX/N4cBJqOYSSZDydK612yFJC7ldU5xj9f0504EUxvF6mHaYsXxC8ATUncOZAlIA/3eOeBN5AfoRszQ6ADYyQo0ak68hmdBjRpceFJsgotFJ1cYo4Ag+wJ3VIZ4wmQ98/PPj37eoU1EgBiBdILKyVlTBqERAT+QhndvXd2595Hq5ffXD4+u/OXlTy78zv65+4n7+LPvfdWPzt7/97q00VFNcNTUVQg8sFhF4dTZFX1+eYqNAEFI5YyZ8gY+mdnSCy400mt4Hje0oCXifetMJq9ZRjRUTB8uOCx2mvHh5YSAqpByO4JRETwkNoE3FYaXClJkZDUdsYFo+uMP2L9LpkBUVcQMxZmgyPpODENVkkW2kkhiivGQuRL7GWkglzTuCZjQ1coepm5ayvVwVEYO0PuKEhGKFnInektzrolUwd2Qpa/+fU7G1yWBd814uNevW8mq38LSWpdgIBnv78zCeW7VXWx35MugAASzdu0GYyAAKn7N1pB+FHHt3iV2tMlF1TdmURm98JIX19X+gCJevAgDo1ZPvo85/2qG3dVL3x1oABIb0BUQ+MOVip+EXvioACB4OyokGjwskLKuN0zzfJy5GraTUUgSk+iGyqAaZssmKOENrisb+vQp9MTWx5yVllHqOrrHdrUg2PWu7pTF93WD8ZU8+AK0vVVYL8FMhRg3GQLs90TKnVzuuf1dK2GTeAJzxZ4QgvYAUzOsJevLXjXqOVnNBQiTsjF449DYUUaWK82W4ATweZ1HcBhF5Qlj4O5zcAuyxoZy607P8LiJQgg/+4BZJZXjmylLn/vGytlBLCsb8FyF13NXWft/k3eCNAuK9A+H+UA2/tH9TVpZQGxgcPuCMsRqLMcdRcVy2TxCPhkyfvo/L7/Pi8mib0aUQ2CCS3bg5oCMz01gCdr/jckxchwCCQ3wcEhWJ+Iz3ivu5yuYXoZ7qvArIJS956ZGZ37ndPN8yPEUuhKBkeOiBYeBp+BzAyE1Wj5rLpUlQVvF1pzMK5Hv4ExLbuRy0p+D+uA3Zf19W5PwstBGKtkAinoAhBGobGQxF6HxjIw8IO4tGrtRFLpAGJRssHMxYPMiieDy6QIo5pMmEHHPl53Dxg1lgvDCCYwu+j88lCg6kbiMvM5KUQFjeXXn13XFAee5fR7rCD66aWqL98qcFvL4SaZArPE2XEBmqXrrC82PX7YYqFIJgzZMnryiN6j48DrS2IR8EWyWX9BFhqWgrN6UR8pVBE8fF8y5iBmnKC7mV4+30B6CuBonGPM6PhrDogJjeOvibiEA3kPhC0lbbCEooOXZS3L1wLyub7+gDSICybCp4PX78havU9siYsLJpkqihg/glnJEpIu9s0kMZCNJHMgoSw93W/xF0XHCsKCJAcUHHLYbskhUVoN2qyXTAHYyRgaRtOHIgjPSUaCCQynbE6MD7hW2yqBC8S0+3MmSQOqLtsVyjWeO55sKOe4kf0NTkHsD//E+8lrJuNmmXuKpJ4JNkH+waGDPdfNjL127JkdozVeFEhgrsaVgbRKLm/+9eim/xwVCZeM7PeHM8sqSZ1dsxbRkRbgysmcYT9PQEm+1J7hnu1br6m1uMrLt9JWkAvYq8pgZlQycfxwQwxCeuqrHFSC3UQBQEXKyyk+a9eR0rjlByUoaXkIg1FSxpy1jvv9TF8z1LMr5Ko9Rzikbe+QlLUGA+x3FeGHVgsRX5W2e0YvJCPJAFAdxqVAD2OWhnM1nIUIfNUj9mQpvF8wLYt4HpoRebMc+3u4sYKgtVlGSpnUdpJwIiqI9vHlHmcVVltfZDEZeEXWSu3qy57QsnFQ5IQUmL6bWyNNcIlI6mrTHMzP4zD/IsjgjvuehxUoylddrF/OXKyDmI1txf/IA2Mgbx6ihblnnVxBhAzmMEwrKU4Lwz+Q/+k9TDyhuEXBAg8pKuMjJGuyCBTgVimqI4EIAw13WR+f0bTohUmxty2hQ8SZ70ZEatyMcEF1OtkZaU7jo5A2gL8jvCuP8LElhY0U2XeZNWl/mwEc344xRWjDD4ionJRxJGYbRTgg5qB9nALOUHZsh4u6w4v8SFx2Wd9S+B8mmLWew9i4lhM+2YB+EFa6HJ8r4cX/Ak78QlmK7NMbYRzH6csSYAgmJ0Egg3Cmk1QvAY+j8kjtaXYeVsANto7Ngw1sJgowrIsL1Nj1/QCjZKpgxj0tkmBMc+45WeKlgGdIBEdi3c5mkfgmWc8kMYsEXFZRfaB3sv9awmDEe/gzcuBP9iprDLh3lzHF+0wbND0V540am9Afwon4vyKuq3yOZhYw/5PygFZ2jeFpVGs3pISAsvxyi8WIG/tuQ4j3JhlmmmLb3nL/c1fdKXbuBSuwb7IxJsiUQoEbNu0xNzyyl+Y6+Z2yLOVWhOVmJrPNdsye2XVDZ/3YFojByBvRzdI5RuAK27vg1n234NDw65tXC1bCrjOfhawOeEjztFY/rmooGXcDccg0Dw9wZgKSYWbR0D3SuTKqtIqMw4bRcA74f5mYSU1RW8ZP72TJRdHXd1lAu6YOUxDbiyCZDLtCsCW6yYJNQG/PBdtNYhEA0BJ/tYJtun2WBlsKZSb2NespgtaPofDYUs4UpnQMjyCsP9uc//NQwLSXmAUMnMniw/uVg22lg02G6+AS7eN8sI2UzlPkhlIzShUa8WoF/ylIneoB9BAtrPQVmWh4cG6cYykUOoX2GyPVDR6eslypUYT+IyVYdOxmbgK5/jXB8gMdQF19APd6gE8wvzrw+rUA//YmxRvh/7SP/UwPRbjsOPXINidR6DVwZGY4SstTFYOPLo6CT0oIztBVtCaF5xTQZNNfYq4vCnOpdqDhyuLv7THnOSqK3AAOkuGvhWXTQ6HeaxIN9rFvDsu+2gF+ZJZ9NeB/Giy7jKNFlk3H+dFZVk/x59fFsvr/nWVvcoA3hmVvAvxPjWXnOHozWdZ6ui1YxipleRIgcDiw7Aji+Yf04lf5ny18Q5tyccrclL2dPW6DkrNqhXdjqV1LYSMqTrOib4c9Xhv0R5jbl8t/DSfomIg3OsEbweEeTu81OfzWkWS6SLoVQ7rNRKfcrHXJn5VTdd8n5An7KByFG0kHG5GiJxTXN6p5fLKhmtwYw0GaelY/EpuUNw8r8IJalkJrAoOp1Ma4lBWPhpa9wvFnSav2pqxvihGPBGEmwfcqGTiqRgmKV+1R7EnEQYVwtMpqVk9GOLAqJ+ZSNVHK7xZ09ANmR/O+VOcYcPcmnhiqLRVbx45wMdZfOxaRamu/xtgVq/OaTttEIdsBV8TacLDBXfOWLW9FqfVlBVtuSvNTfRmrOsuBNO1zMIiXSex3B1VmJVk2As8r0nhWu1CLYYgGGEZSl0BYLJ/obEDlxWDbpua9pSUdI2W01fhzt8KWscCVSIzDzVM3lVVccCnn1rKKoYICZ05klXR6KlD4lvCnIaFSmD6hEkTXXWzHlnhES0BAGXMiVxgqpz7O2BdlfX0qV5gk9G/KFZH1yBy5UX8bbKFemSMoTgwlx4i/yWu3qYo8n+cqxjIOCLqaMO+W+ftkf/0g2cqD+gyWvH5e606OxK3rz0ywd5M3+1zTodyYHqAWGlbpnAsOKZPy5VIClfJ/YSHNf/L5ZSqqOqgvmaVLgqzlzqzr5MqbAXPYKamXnY+tcjmUMBLjXygNYXzWqBZaFJqpX4jJbJE9qUkFD8fIo3KYgLW8hinlimTQKpWRAZVh4XJnhZ2LnTtCsLLembk5J9WmLCUV4xkzaO+T6WBcKmnrlhlPhXn+daYtlcH75aSlAq1rqDGepNvNcLdcWk8BX5Zx26aUlgpHEpFjkWibfUvyv1sNe0L2DdqMvF49dkgo18lYYsmvCrWppgDuJsm/JI8V7F5hZmYKo/mmAyZ3XrrYL5LrlYJpxqmsLPYbujMLo92SutxSJZDxspbY9nA/63JlzFiVRbfSve0yejJV5D6YKnJzYRlcELoR6ovMPcOKDPHQJ4Q48Hp3Ayx6IUcBYqswVnbBzmZCdj82Msrr2cw0VPsFS4Vx079KK6QJjXRuugJmbAEy0EshlbkZILkZ0DZQluw7q344Wq/OdML3pfosCZ3TlFKxirJS6sqG1prqI0GQVjhZNlDXXqWzR6xb4Gm1jJhCzNzvk3ucbSMlGnXErN1SL+Svo2EyfYRy01R8ynhlv3+eVY4p2CmO9pgUP659OCDLJsitWhOlHKPWcDVFg5NOmRUE5KbchtxYSQEDayzGaouLFktLDN2SbtppZ75SG9eBaIOwIK9zJChqRjTWHMR25hwWctivTM1GS2kIddkBKx2h8IRIWK2UdpA/J3WErszYausEX0eRHXHjdSDhqCTrJussnYzq+G+j17Wtnx17XSVwr6CBsUVqdOU1tKrW0H5CIS9PZM15KjUACSp++Z7KYEKu8p6KZZsGnpSwgBHhc91pnjYrvaXC0FRuNfE/G8tLb8fa16XOAT72Ra1ivay1rfP6X2jYXJ7Y7JyrY9u6dNywiDJ9ecPraN3C/CoSFnXQ7HMNPrKCwuOfa7j2yVPBfFM33CnanRc7ttRCiQwWqXxBVpl0oIaKBV6ftFCuzCqVJhiPFgtD9PnU0jAWDd9KnWM4cGxt3+CZObb9ascl5ZQJQI5KQXruP11DKZQa3dtpgSgFwbuLanQxO+W0kE5hPqY1mFrpVAm+imunhEmVeddrOVA87XCDlgMCp5glymKwkrdaX8vp7qTazzeH8G5evdynQG5AzHt1qcT6jeunkcza7SOD8cV4bkjAV+oxJbd2pEvlb7fsOzSfS6lKoZuzqnHt3OS89JELXay46xSTj4necWFqoA3UGBjmdJ/FBll79PWaF/VH1hJZ+5IPe/7b1uhdWy5u4qAVK35lMu2Krr9e75qHAAyz+Pt4n30y6Bf6Nw4wsbISPFI/KzvX1l4VaAfyUuf4TV0Ul1qIZkKBPtXgmv7FxhgZSXfugGQHsXqm89bUhVZKFQMLXxGinKE25X7AnzVDFT8z5m8/8ZjP14laAiQDl5G7wwVt+mATdqS+4dj3Mic0mZZM550q9F2FaxV0w4WCT5FFJhGVW46UjNe7ZBce+TbIfzLXeDJ9S4+/T9FZQjGFXa4l6vJjV5hT6iy8abLcsqhmkz1Id2dqxC8Hx7UH5/jQJiOnnEJueyDnoPm+Am6RCuNVvsVCPi/qunwJJrtmxKssyx6xrtzu9192PPlTG2HYRzu6MeuiYOJUP9XTMEe+BqbNda2OttP4myy/fPT8SFNOxVwznkHh+5PCGQu9DqMJdLWBQhf7Zjf8vnozScvrBWsMwc2XXijEhuk8/ljC5/T9s8QAhDOwyP1uZvdAuZJyaPVA+fadbXqE5aY0pM9zaFsZPbnVSehPfT1qlvicFySJZI7cJHSVc8Rt6Gpe0qhE+jDjVtq8/DuELWnpxumSYL8FnHv9V/Z6R2eKZH7/O3sNVPTyVjaT6LMLf05fg8mtdaUyMn9iDjdj0pdpaKCkgXXRMp++ofhxem28SHwwrjDNi82AaV6gby9SJYZTfBr43w9epQqF6TTkCwJGpWStt16L6elvbH3+PKRDlBRHigF+evY/3dEqD2VuZHN0cmVhbQplbmRvYmoKNzEgMCBvYmoKNDg5MwplbmRvYmoKNzkgMCBvYmoKPDwvTGVuZ3RoIDgwIDAgUi9GaWx0ZXIgL0ZsYXRlRGVjb2RlPj4Kc3RyZWFtCnic3V1bkxxFdmZfxzz6B7T9st1hdZH3ix1sBLA40AbCgGXjDVhHCASil5YECBD8e38ns6ryZFZWT/fMiGUNEaiorryfy3duqe82YpAbQf+Of37x9OqNj/3myYsrsXly9d2VTD9uxj++eLp5+yE+MHIThuicDpuHX13llnIjldu4KDYPn159unU7MxhtpPvLwz+hhVYbaQZtnKIWSg4OTR4+xoe/24kheiGkzF/WfSs1hOnLP6FLGfHP9ktq45yT2+93ehBaKzs+yRC3j3Z7NcigtNse0UTEiJ8f7/baucFFvX2wk4OWPjjWT3n6Zrd3g3XeTvPRm4iflDM0n72mZcWw2SuLmaV5fbjb28FH4QImofQQjNDb5xhv0MGo6vGrnR0E1hC2Aw2jpA123CDBh9Fx0E6oaeXfo5nWJvj8LfaZfRsG74Sc9/MFjWaC8duvaU0qeKdpSzDdEPz2eNztjYiDVQrdYg4mOGew/j3OxGlsz7fUTEsl9coH4wheWv722Q47IpRQ2x/we1A0HB4V9lIEwyeDRkbKgT7NjaSK2x/LqE/pZXQ4n89xknqQvhroe2ruMJSlnR2X9RXGjHpwUm0Pz0pXbC1sgB+oh0jUsrKWMu0XtFtoiLWw33/aWT8oixmwjWUD5LdRotfSFWv/mHoNAw4fM8xL9PMHoPy0RqExrN1+Ud4+L90+BQ3jKSyXqBz+ZxxWq1jPhegHhzCoICd6ObBen80d0IegdZCdk5u9VPnbabJOTZO10k1Ugi3FMYD8vbVuOpoYNf89T9tayds/LqQx7HrcIC1OFhwH9gfvnMESZnBBiFlwfLadDqHLa0MAQ5vp42ckPZTBz72eZzb7bIfvAiQFNvtNWiuEjEnCDpSF0eXGDR6zHXdOTXSSO3UWP0evg6VOwQJpBrTK9DVkkFSDMdakI7HCuyxI33149dHVdxvpTZK5ewMZhNOirjdOg6RUIBH+9v2rN+4/2Pzw/Y9fXr3xyUZevfEe/eftD9/BH/f/uHnt6t37m49WxXuz+6N4xziYn4PsVibLePCRGLQVRve2ShcZ/4oOgPW5l1EMOPE9JEOSz+mb+/MESUAY6SH/J44g0hwHCNVyY9E4H5B08CH6CCFPckJCZu3REzRZ9MSbVuCtVSB3O0gRjQKJY/rCRg9umd4dd/QKAh1kj7VFIYgZMQvlpHbjS6lCd8Fimk1fMBcZ+Hn5/ciEzVOSJVg5BjqQOJPQk+B1JvlKF8efdjhfKaVrxJWOIHXoFAjXvVFiAOPO0qDq4BdaPjYMApPJ4fJBlgBGhe2ByU4awA/GRSYvD+VT0hgYSmmFRU4a4xdaCz7OUpjEpfaWqT8mTpkMZMLoix3QhVHKQTnlBTrLPz0+Kc/Puz0cipj9usjePG/n9fZeEmf7EElFKxAnfiDRkI4ztbURkCO3jUzJkFh8Nr/tMQ2mLqircxBCVxzSyHcsDj2wka82iC3n27LI/geLk8ubUFAF08nKgAVBOF18UejqhzKpNSSiCBSCRO6UmLE70N1qlZjToH6FBSugMrcvHzzL/RPcBFJyHNiwDmnpLumQWwEXIu1pwuAONf/e02PKQcwstRggedZiQH2uR0X4KqHd/dx0geEyZ1UAJx+t032WL9Off86YRhKfF0izhli0geR3nBSzaBQyrGCfQiw9tjIj64uJ+S9SnXfPrDDFBq/9BC9pLWwDCrWuIeiJMLtQt6LWHnXC+oGwH7yR24e0E7D/wiQI88ekqrRV0L7sOa6yMbYSez8vh2idzayiEK0cTnzNznm+kwFWJrHKzPuHx9VYXC1qB7F7jhya9vu6BRTlkUfygAXbRs3MYkiLNAkToPo811FkDgG8GyXZ2tnvR766gvq3T7LCslAmhLSTwvLRn6WwumDKD5LZsb8CnhJS55fY+C4X2DgoWtKtQZWGvtCJgxKMsBX5MkmUf5fCkECcNp1ORZISkI1trqHvlDRdfcQYiD0emilqHcgYOc8OBmZIPpEz7ODCu8wScWHgpogPtPMb62GxhYtMkY1JsBsdAfCyfsSFJk3dD8ierIKb9LOyMhcl9uEOjCxpekYW+dAsiQqVTSxTZDJkZoyQmTbJzIRWQfbvEU05C/i6fRePFsIrbN+nIxSKtNr9B8ReKoDXtvcfks0K5SLC9j8gZ/BBlNt/35GvxuhRwdjauQRqZNxLQzkI7Q+T+sLugr4T/8KQsXr7DmjLgWbBorl/pcx2nIC2YWrmyUs3ztFoTRO3pLaqhc0v87Tq7fKa6HKeGe83D0ymxPs7rFUTTvozhI1VGgOwNZQP2QzvvzV/+j4hjJBwFpvWtJ9OpHkrD8LCJuSVWxFX+uUz/C98a7RT6NZ7gAwI1Ld2wQ+B7JtxKOC6+6UjmjVhK7z9mLbFaGHM2MjiZWlUtvI/i1SfvCq1INxLS65DCHk7RDuZzEkdw0p22nIxn1SwgaI2K0Cd4Yg11KoVdgMC7yUb4pBkngYoNbPhYI3kQohQuFZhUEJul/2FdWifBKEZEZ7RXKofj1nPB3DISwZAuMx8QiI6DrTTj7uC/fXyljXLNqEFLlu61jo4qKc16ZE8unua4uzx+iM1AzFNCi5pvdeJxNC/J1/q/HjYGQK1OnKtWF4W5Tq2MSb2nN2EKxiXmaSJXbTMeb2VnZdjX7axV5NfZuwrcb+TAir899QO+h+n/h6m6LwAlvnfHUQT7Hw6NJxO1GROfVseD6VRgtJGB3JJPCpfHGnlUhlZjfAi+4kVmOrjnQL7gDKgEul3EqGsEe2xkOCgvLDUvMtGkACh2BNpYeAU4xaKdA3E45QNMw3IUzUEY3zXVoo14i++LOYvGD2qa64DEHUkqhq7yF4OIUzX/TR/Nvnis+9XQxMlnDnx1o9dZviiNchOWgeTp/0MNB1NwjjlZR2q0N4OwjvOuId/IPo3SkvOw0tXBL3NXgdhK5vmUY0J86wS4IIYlsI2wimYwXJw96w40cqHI8ojZVKFUqbmhzwTEF9tj3emP5r2lQOL+iErwEweWDTvOpOsHDhJSRwDSZd/wyNwkFOajh+8qWSfKqVJLuzKwExHpFfiF8zmyPjBRhGyga6hoM2qr4wR/IFR/PiczuRJ7WtvLGZT3Lt5ajL2DQWTbKBZ+t3DNAPmJCunwM8F0jMN2Hd7UdhJywQobojuyeUJoexgdXB2GPVNb7mRHKRCn7fiJpJ46MJ/rpkL+0NGEkKOAJ+EoBQMO7OyoirSx4xdoy1ZZtdz/4lQApbL6bAVbUHWYRcJs9IXh5UgkY/d6TpRQZVJ8BYn1UVRjZ9J+gRn+jbp2Hc3tJGC59UpsY+3bvfwr4v+5pDBm+Rn0clbL2iHY3KXt4hocmsbADwBLchFyLEbkbM4akZWJxcnRTEhUvjAGJg34RqRRG46W07yboTSJEFHvzz5lISPRXnfnLG1JPwfeISUudMKYi5PB65FCOIKk7QIE3AnUQNkkTybs30CX+aGnA0bDTajbcJpWgHoqBPwG/sfAJ+OzPd9mLaqwvLzYN111v6a0+joZhHHW/HmqY7fnJd4GmRxFnmVM8eZKTphJk7L+a9ARR5lOjlcoz0eMZAzk8XS20bQhUmh0iq7zWDj8dAagz6VW38hn2Q2nCrmUEp1JbuvFT2LN+Q5ekx+9rbWsYgFymVO2xeZp52wrf+2XUsWRkLTnIsw4pCmAHougha5JU1EgvEdg0o9ATObyxBh1+dwZNcnliDm03qjHGF5eY+YnaThqowoiHfazJSh4rLg3oP8xs1gQqQXeSJXko8Ou+cmSt2Tl19o3dP8hiZTSPWfMDscju927ZOxpBgpkZWrY+IB2IUJQkgxJYN9tcM7L80onoyvx20DsWQsBmO7aSGJHsrI7ZLarqslEbOzrqe8ETt7R+lBukgW8AaYUpOb9PZOzXoBs1MTJrIwGIZi1tmv+eT0Nom/zTatSQYSNDShSajriEb2OqIEUSQn5S1oMgh99zQZ9IbC01IrTpN6wsD0rdPdg1GjiN/r+mQg2s4/GSXCBSczdj0RMFCPKgSsJMxb8eoJGOOQp/QEAbd7mqWRGhO7LtjZqsmvt79L57CgLEGcdKUVefoGuWmbaGmQUk7R0lZZzYFK1w8kVmoJ0Bw77s1qzFG7nMW0AJfkjVOu8cW45HBfR6qpM8N9SAeW+/N19sGk2cxxXKa8mKlwKPi+uIHpnSMszLBdY3lpawdPbs35W1/5ok+5mtvk0oxQ08jA7pZo1qiTYfY8ub4rrCyIAZ7jtBG2yi89vkh2lVZiKIT2PK9OiSpXgIEshgmPhzWAtx87LeiILBALuyZeTiNEW5Gjmxny9LCko8Dfue7Zm+VtZFxtZfz/b4CMfH2BAcJ91SeHA1jsuMbvygBZhH+uM0C4T/8663zGOqvpCArfRxA782ifskDmRH2rcOq+8kOnjDqI4V/yz3rb+OMXOSl1mr3JHuU1myZznavE1+OuBdd6tJPVxEyukuPO+1pLURs7yMnAlHEpY+NEPj85fTxaG1XPAad8dbYSc8Mvrs/pUyyvZsg597jueUoEX+m5Jfeq53tT7ohdyh5Vt6s4+LU5eX0cz0vZHU/6nMV6Kzl0t6vGopP3s+7P1bDoJufTz6NtJroQlOrEDtx+m6cTxtoYRxJ40KD94K6ZD9XUyGj/lsf+m9pN8mtClDnI1E9z0FaDqfsRxW4OHQFLCWygKvT1AwdfaYBK2x0ndyoAnix9xcUjuY1CeTu5Uqzi0GkaAjDMlm9Lku6YPpQ6+0s31WCvBNWuxb+LXAN1s1yDtyhxN5iocgwWxvP2PqXWjJnJKXtAAjXSAmGyg0nk9F6FYMIy2cBIKWSuY4ukgXg6A/v4KdVAQoG1PaQ5SM+zFSg2SCn9wt3N3H5JiQwS8OXVpy/43xo+nguz6pwFyuZKSEhRpHKOgxEg+LEYDhdlL6BPl6I2l2QI1SnEOMZB6iZ7gLoVsYZtY9b/nBMwWcfc/uvnBNTp/tS7H4SVF1RPsLTqSgIu0yQYPOMO7JNgWVFNWTgL4wfigaLb68q7BWWKSg6cjgIsw/0KKFK46kCzqY9lhA7kzmUkvQoFVuTJtm89KljC/ayiYJ8LNwuvnhsphJKSCxtqhZku3V+ehXlROsWkupxdSzmcUvW5D6KbB9L1glT1Nk2NsmeuoLSzk5+3VoLXxRz0aG/eLuYAGFB5ehfCVWNnNu63J1wXtKFOaIXToH7vI3BS9Btg2WxbpUbdM+xnvL3IOaJerLiDGu+iNoNfL/1JeLoKqrHmYzq/98wtsBK39k3pA16RNPhDs3FNnonKtRdi8hqnUiS5HmdndfE8A45Yp/7gHD/luIePauDeOMRiKU96kIMh8rpFmSpZQeRNlnUybOXPKJuc8nz19crqhFkCvgbKMQ1//waY6UTHrmzyH0bIArn1Ac1ZwAwwK7TD03JetoJ1AVD6qCRVugGzmz559WYLEmUKHIpPEcmyiT+gk3JGT80bM0QK6mCONvw27Q99M/vjQ7qExNuURNBLT2ZYnSN+9nHXkKhznY1QVHoBZSrpYgsXF4YIJGneTaGkl5eZBe8wShqdkaEkL5JY/IYMGOg4E1aSFV5vIHYlv8b6X6N9gr3LLKrbVOMaULM9UY2bEg9d7PqkU9pnwilm+9ln8wefUOmFiVNrLaqbRB7NtQWsRv028ktJCHMjmdCteal2edgK7jG10M/Rpn0nWOSrkFOPS7FSrtK+3VlAID9V60mZtpsq87T1WDp+FJQrNjIeRYDKh7msz1EBXWZWh8N+xPrZG6p4CVNhnwVmZl+y5llAaN+tpPX1ZhyyzgfWmBMACW3MdH5dTX4dI8s6tgIKHR1rY1O8XruW67CBrlIWv0kJqfasbN0mUJfp6yZ6tEJHddkMczZWVYu9pXhdQkpn1SXPzlzRVcOpxgk0FLqhcJqLSPd/DAaiUE+MYoZoheySRqDwJeVJ8Bav/qaSpbfac7voHy+xuNoJ1HtCpfjsCppvsBneCtuFJn7Kn6qa/MvJyTSu80ys4Mg+9KnsyuGfx2xkCM5P32Gh6VG5OC7Xvxnrv6Qs1+iMWWZNwpnrOEztisOUeV+za3SvBIwt1wSNztJ8E8v/nkHoS7TgocidA+v5WSkwr4rUSs2cqa/ISgE7p1auhGhK16l6Do99YNgIujE1sHsfF3OEFKGwOoNs0o+B+JRCoNYXx4VMVbBHR0vWTTMMFShq7td6PlpPuqqL6TleFlUJFHecZfzkMGjCnYu7tehryxRkz+3Dccyi9oU2vagjZuB2L2c4MLuUts3rcitKpqYK6OSiLZ81U6DiyMqPcnxJt9ehkxHBQHtrdqsFy2MpdPC8PvFMzm3kt+f2HAucqut8aE4mb6v2cdB3UF6Wa67sGfBrvrOO785qxlCguvKwYr1ShmzQwMLtDXUBQBTEoMYMQsMKYJ6XSM0C3DY3vuHUE61p6nkGhcc8F5/vFgRJDRKPOWU/vZ0peCS13LqWdiMFlBo1ogvmHD/OgsO0BYEjX19wRdyyeriKNcyFvzJyuMHOnLVqXbD9a0p6xXvjbSBrcIduczMn7h3JNcZrpkXqPdpGIlERWGyk6XRrw12w1lgXXfMWbeTajUllISsCMdGbsIMpHr3mthEqBkErnbdM+KrajznVuhTPkj6aTI5p0Fkklu3tZq2csgaTjCsLJITgKOxrR5pIFM72ekon1HZhF3SkB31p5bbI0O75JQaidERh+gtIRA8pq9dUN7PnqsvaJt1fkxrEqApuJX7TveXneOjfoVN52VOSj16Rj00R/VLrTmmJalFS5AAJc2LjmMlpWIZipcMXYiBlD32ZKVX6Us7aioPk6mTigg7Ew0g6S8dXBWuhcvrs86j7yUYY8xQEOa9039qbQgL7QCXA0p0L6t1lgN7dGMzPlme91AnMV9P+3cmlzhGWqk3rNK6HmYydqsmvuaNtAKcKYL1GnXqvJidMnW3t6lxECU6TDmZm11AcTa4bHtUrXJ2LsltF0axOpdWtxFXpLhuIitsR4mxVnkuIYFjXdesbkuOw+msKuTfaHGtB8aY4fzTKOoZrqBR3axqONz7dyXUi15uGzHo6A9mPc2v1V3vlJVtSvrwEmlnlzGwOJJlcf5YvO6aSz657bb6UVFfWCBuT2TOsFvdYrqG49CDSRRN3dhDpKucYlweR7tk2tgZ66SJTVZ3OdWkcjbZKN5XGWtGn60/XKxzy7anxNnfhTFjtX/Ho8blZ0ZerS8h3fldr/Hk0mtklU21kcnmFY/f6FG5yU/ZIP6YHkAQpZBicPMNrmrZb92m3CSuPt5KsBZanK705Hl1xnlq6Rf5O/Ke1y/J8L2oBMed6Uau6pV/Zi8pS6K/xoMoUhGVFAtO9Aqf1KBFvELZo028xnYhBuvUUEMBnK7wmS2mk4Ki6cbkmafbeKGTAoi/7BT7dYG/3VJLzwLONIeFqYPteE9oXRAHz9IszlgKMNt3MdKr4aBLF5flcN2OSRks/Y3UNbDcxI9fBnOW2jmPhJxNOeZL1JRl9Wc2+YAUQTVIX6V3BXH6fd/0nvH77CYlSsoot98ywYFPjDUgOMF5093zsQJ9/VfPf198AcTwsLL3GcmbKd753il3K0x+L2cXHxtPdJDnyDmY22H6yS73XPvfD8TS1qigJOp2n3+Y45woUCeuXG0wMxfIPGf1+Xpq1WYlapOs8mrtiu7eFrdWQTls53YZVu7v7QLAKk/T08XF077iG9C2/v7qRDCbZKjcJaDFBfIHPuOef7JLuJdmMCywhcwrhWfol1ClK1+R/slvDLhGjfQfTs9ERY90JzxhFCEQb9crUxTB+5UGf7B3OE9MNa3RN7uSYd2oV0KYRnK9k/o3/cgCsEqNRfnQDa2sbey8pry5dzzmVMWD+0lJ2BQ0zXluw/Z/0GvREzmfqMGpKqv1pRDMqOzohjen20v/ekfbL/v3RI5EYZWw0EM9QMozGl2W0e3kHiC8/YK9LF8M4Ahb1QdMOr6nyIqWsGBVTKGz0FhABe3BcTKlbYzF6gtx066ySxa8AVEFPFoj8z6x//jzkVeTkrnRbwEdX/weo97tDZW5kc3RyZWFtCmVuZG9iago4MCAwIG9iago2MDM4CmVuZG9iago5MCAwIG9iago8PC9MZW5ndGggOTEgMCBSL0ZpbHRlciAvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJztXVmPW7cVTtu3QV/7rj5FQq1r7kuLFojTFHHRpEk66IIkBSZep5WXxHYaF/3xPYfL5SFFXV2NR+OZJAiQkSWSlzzLdxYe8n69YANfMPwv/b335OT2Z3bx6MUJWzw6+fqEhx8X6c+9J4s7p9BAq4UbvDHSLU4fnsSefCGlGphbGM8Wp09OPl9+suKD4JbzL0//CJ0Up538YLn3Ajqe3oe25yvo661zyxertVRy4Msz+CDNYI1aPl8JPiiuxfKblRyYlEIvn0EPJYX18OtaCujN9fLBiuEjDIeGMIwaPLR8AS2dE8wsX63WeoBpwsevysfye+zupZTLl9Bf88F4RZ70cGUG7pgzcUU1GRxM0TGeV/QxzFQyxnyig5K+RwcuBmnYSIcBennluIxtpVhwNUhlBLYV9RN+grO1jPUJLBgsqjS2eRGxrTALD22FUdgWlqoWa6EHFxv/e7UWg3ec8+VTfIjwHjjzbMXdIBiTy/+s1gxI443UtMEANLVu4Eov72ILqZmS0GAtnRq0MEBUMWjtgT2PS69z5Lg1MFsYVwDRrLLwLGCPc84iIw0s24AYxGlZ7HQLB9WDUj5OQHLBZerlOUhCeJRhTsVHxd/PSdtH+FQ/yPJ8o1EqYAbcoiStgftG+u1enoPgBDmFeVl41tk42fP7OJYYlJHk2zSqYZKs61WggLMmypoFdgGFSqenK+AHE9YsX8f5AV1Q1NP8ykCb14UsW7TABk9A/pxXAkh9Vgi0wVGB2t4mWknhl+exrbESCSCdHbjI64u9Hq1QgKDtoIpwEbondikOg5VxI7sNzGw5PgHHWeeB1lzQoZz3si8tiS+am6DiwEFgQb/pWRnqaWKL3tsSeeEEEg7nHz+bWkiIaHxXSJ++Be1b3isNXhWGFIkkTbO8gByfZ0VpuIhrFDBUYWNXOZBfBsCR2Vb2o5BRycrDJ5BhFAsEZ4OQPrP2DOfqHWM4LVisUNAy9jN6YWDxoIcByADkHNMLOZjYE0B78FoZ10McC5aCgbFYj81/hfMDuFamNyucVJ4SKgFyS/DeyA4sBuMmNya8IFJaaPm80LrLq7MGUrSTwCoy1NMi2gkSAL4yPEHbs27TEScMETNOxEyQjkFThLIwpaIoD8FSOKu1SUjiR/2P/CYLLzJ//qzWCbCvUu5XH5whGHdLVkgG2nyL5pmDAaaqgU25GYzyRfQSvxzll7eFsx/j8OAEaAtGEx5kLRiY9WqNJtAD6N1baYbijvCnBzBPAd1AGphhXgAv85cbWBDTEsZ5AJ+E58DplzgLYbg05cueAGlQN+ttkbZRKoi2PSPgPv6+IcsvEjas4lO4qkwu1zgWWF1oJ30yvKpQdeCrNfwdNLDigzB1DY4PII4EPUP+oBqYgSnwMGqugr5KZQWFSvLty2KZzwN6MSZUVHPrPbg7aBgEWPFKwkJ3Db+mkYAfWcIQxuKgCoAwDgpTYXxZacnY7QU2UIrZvqJz9EIS7X/XYEJNQkAcTlynRA9R2cYymdeBcCg7T8tqqJFcB29KCUGXEOgCbhTQcBMFmmmVKKOkOhZlRqFp/DQOK/QIAia7av8D8YNf0eX9E44EHq0ylPUjlHXB3kbh2wL7PrJq6rJnX8kESZPSBWf7LLnvOhMB51DJ5wgwBUxauK39H0QfwH+YBnW6CFrfWwmgG7cW4Cth2l4jOEkWzkwBpTOUKyS72JLHmj7gHVP3nI3PiswEpnFQV2CeHqxg8gj8i5bRM6X6/BPB5u7lnwTF4vJyGQgcAn24SgayiizgROHy9nKQBmMdDjJ4Jo8sBF1oWdibCn7c8ke4d2LKLUqNfwsTd+hgmuUXy9FGbwoLdsgER/GapdO6lokvVtnS0xCPBmuJVUYHVgmVAyjFBqspfzaE1ejFcg/QybfxofHMiO9LBtgnX/nXxCflEUZN4FMxrgfx6SF6HU4p2xWUsVlhS29MGZ6ucuPvQqIBQLTPCUPbIieEMwC5AsVgyjUGfuvdGF576YHfyoKXHtMvaV7g1zgL7kXX6IDjGTIJa2Chuhg1HwWuMab6HhfacX4jaJqeZ1Q/BkI9AdVrYiCjuoQ1aSVzY6CGpi3YK1lxDdxYNNeBa4lln+Dw1jPjwJUF7HcqZiTkAHGnqD4+BFeaQfeQ1AFjyLXr4of0FWK+ByMw+Bl89ec7IomMYuUTCYdJ9gDDE8YGDp5VwCILMIURzCb4YWi46myN5MAYAJj7BUDIwCWvMYk12ZSFKI9Mpo0Ce2F8muxXAZa48CFvwxQERtv4FUYi6aw2xcTAEFDbT01gXiu4Qz/vxiZ0LdFz4nwp86gqUiiGoX3Sn3+70hCVCa23Fx6yRCHgY8hPMsCLuFxTebfRUzY57dhYKodGmTeQa/txfQMPOJHZ8DCq6z54IANjThT8NJKaOus6QfcnjTEon0QtvG44mHXv16ve2OsIG350cVpr6DiFPVObE4bBt5G2S3ORprKuuhwX8j1ELuCwtJBfY7dgmDgSsBSvvbWxO+i1CymvgLEfnJ58evL1wtnBhC0PpMmCQ4iMgbxyHqUDd1Du3D25ffejxctvXj04uf23BT+5/SH+784n78Ofu79fvHPywd3Fpzt3VxqbknZX4DmY/1EOdTtusJTZ7THhECkHWyARrHkwNsvPV6f/2tbIOnm215ew3viuLyHYDglnignZcP9L9M8BmwDRtjzegH6b6ZSlBKFSTOya9T6PdyKO0HXIe+n0AM+qocUev4RFD2wrmNgzNT+Y6Wk1+s+lBUkIeQaGrt8bgED6pJXdIRBXDgc7PMAtOAgyJZPTNR8OPMbZC2WtwL/HgwNw6xQ8BmJ1cQE4iG7qYXBwgLhpiBz5ZSPDlGIkQZ0VZbeuxAyIgfG1+WFDTIoyLJ2PCt6NqOcjVpiYFcL2hlcYmW/xeUbQCvQ8CME0aiMmALzOIet+ADM7wWvaq7GJDiWUu1YQFh82G8I8evcAYUa5wRwRwrxA7FIat+z2Qhj07Xg0+W9Y20+RHNpq1lVhNQB/XLI382QbQJIXqdgn100wP1emTV+e6/VmO5kfE7r8rFlvm16Ilqte81GUv0+gdjo8kLNVkZnoawi6v3303cGzFhRMs8e9l/jUxhxIfHml0tmirXFDGF7HVGE32K3hVmOGzdrDQseO6bjRoaOxAWilCH+P5yuawQLQCjPsx9nLjhz3Z0zj+ISlk5UjBtOWW1JwgczprgKSDLXszVzQ8pBtYkhvu8RIzsoUMWolUvV+0Tv4TGt8RtEaMgzW9ZSF8Wm0ttmhqaksBDxBc9wbE1iz5twesohQM6huKllaoANVkm1g/CZAtzc8vnLIO3J4jHErQB74ApjHOmJ4vFAcXD51IOD5RD0AvIzlswDvgnIdzcZbV3eF4gSrvZzoexpfTV35XbzAGcLcjixF7XAJQpqJff7GHnAs6zaSmz3OYuMdH74reBV8noxSQtWZN01cPBe/vofRsblAdMwFRsWKWX/UfL/nIY/IOD7lLUTHN0+Lc2VI2t9ysrtD2IRZh3uq/frmo2lwzdqcPzssERDB/bBEgG5qK2+WLBBEX3PrcLd6z8TwoI33O4OEy5mY+L4IqZxyJ9ZC4QzW0sSKyNDjPSzA5VhsjHWuWP0sBK0xrI9rCC3CWYa6ShELMUkZobK0UrKud4bZAsUMqWLulm9j+bjmA9s6MRSLLbC2TRg3KONpJXi3HqRbGVJVtIz9b+Go4Nyz3TUeYakwwB6hNQAE80RW1w7rtNg2tb67sbWWPwekrjJkL1d4rgko6EO9IAqc7WII+lYYUBQfoV/Is12mIhmtCiSHNNKxBB7O5sBCQwVx4fxYxN3NC2qkuW5KU+ZVA85EvgNLU0AgBGD+eEhOalpn86rU9GzuJ+HXatQeS2Wya/5t3BKsco9iVO+ayyH3yFWDMoYfgDJWGDUDZSaDcbKV9EZJTRCXqTxQHh6UFsLAtdSoNqUqaFeh7CYXVTO/8yRb+F3xPe4w8IZNFHlfqveE6FvKg3aoeE3FqOLMg2juUfHkjR5LxaUwIR81V8XHIz4XqMo6ko6T2uuq3lECEZRqCh53Vuwfo6SaK4PhyCj25LDCux+Olv2fK81YKF0kJwZIJeh50QRi7jfvvohnjgz84zM8LQ1NOD0huyHrJYusztaFanSwNH0q9Q9t9k06Idi2hOII99Mphersb17D6HPg+SByFGkTzk9zB54IZTBhSSQ1JlPw/NkaItQSvW3OxxNlPa2EqbFgedc1tpUAscFkTWX6l8AVKbztDm2DS0m3pbAeWPog0yalycB8j5vseFSZZ9Bpd61MtTe3DFLklO7aGWAifXK7pHboaknB7y9Dp1A+VgWUWN54rG1fyFAae8RY3jI8+YMCmmv3Hk2Tib0dMu3K3KCE4oRy5BjOwOt9QpmDmDeQSZdD2suUSYfhs3dcCiqTMme3sK2RXcbkpO9a1pwxshuO9TkzbqLO4kwaOguw48HAJwEWACcouMcWYHgO1mhMCHBL04hGgmYc5lG26nJ19L0SyS/FHdda8uMnx8UOcPIpm/uWdECE3cSsAeB6XwWE42anmITwLQ0ItO1rwDSFx12/a6MLPJVz/pB1YRq/yoUWb0srwHUn2xRSyOCwH1svJJ4jc5evF/uoLa6NdoCfjnEncJ5nSds+yV1dw9FN5FnMToxbqA8w4WS1lt1IetuNPuJumgXOWt0mYi04BDvzGuFXbvbFyj7uf8/KXs7OW9p5e0KXmLf0x0xq5Iz3/LylI9U21yJvmbZjmwuIYmCPuUqjMP2+aTVlQmwESYc9RrHhhnevPGhy3leyzir9QPSkl+MPeqL3zEuxXnWFGe9PuTQ9CcmP+hTkvOwf99zl7J+V3Uhyh55c+jHUkKzCe1qk6F4qNm4HdUE4ZSgvnhc87mnNAdQZAkC3vIMyYLTmjhqY/mYauR6q2jYLmTGp4v1TyoC1EdVVDuR4cnUhWXUJYEpijXdJzbi2Iz5sV0ucmMabeOze7VqFlXgzd2sltf7TqsFrdTvAhGwfUplvRnhgelOAdcn58ZQKnZ0fh4CnmOdrlCQP8qM7aXLlQe3z6eyALNWNkEnMm12xIG5GL/9bKNwnNhnrVkyKg8cWcYaTsvdyiSXZk9i5zx2T1p6o5llMEyu1fD1ew4lPw8utgogIFj8clhfWST5/zA4fmh0WwLWjHuWM2WGh9KBuZnJYlhrgw9MCbyqYF0sORAQqgvlg5QaNV+P06CK3CpyuOOtbC2bO+h5bMDHrqwUVzNaIzdLftxCSe5W9zTEmP+3v03duuQSMPqdXeYZNOReDjsPAV6ZqhjfblAMXZELOkUdYtnZDMdaqcNaUe7y79pgYG7xF7tG5u1kgq9J5hDr3Cr5ViDH3o2woWX+z5Ou0BEoWL1nztJK6xtvbn1lFs4AYBMrRc7eDdTbfn1OnCxvkfQdpBS5o9ivxVFtprAdSOAT/sL5f+i3HI2Sx8RlCg4JoiqneZMejliMJ8dSL95yItfKxDi8jtLChSBzEmh+zSByegwaAivX7QE8NXi6EBH8ON6Ja5Q3erMvxhmbJl38BxMPDuMojJnLNYTEGb+5Cq+2gAWl7ioVdsIj+4SSQyS25rGuKRRNY0ZpW3lwg1151Km24LVP4sBvyI+BeMuCaKKHHBtx45+nNBNwQOM0TbHouiGMu0OFtyiBSU5ckCo15nbHfNUjWTgxshnEGvyuXNE1nBfJNt1c7c8C0YJEWGOWHq7xDoz+swGv2IGM0HfhNvBbPMF/H5fTdC+EOP9OvOSd3E1dJRoAtTJ/4ude0x6uicz7s/FmdK2+L9/pCqEk+7GF95Xp76UF1wvl6y10z8G9W4bIBEy9KnJA9P7yFmYt64M4dqOUW/CYfX7EkvAuCC7Bmrkpz0XeZ0EuTJ29Hi6/auUbcHlXmfHxJwM76zPjmFEsL959W2eLc6+l47ybRI3IdMSoyb19nUr2RYYqILnkhlJcww/6Bq34y9CgXVqaLtdObI+L1m89LepOkLOlrYsIrFYT2LG+XgLJYX/ZLqpf+jKi29R6ZWLx7K27h+d1l7uSFLTmXmk9ksOo1BYTzOQLXXhCG5pNDKqRRBaZzrSKsJ3eKP8EvPVbjdl/qUw4DdTcXwOsUI51RdtBh3nVGv9pKm3HDOR448t7P2CoR+L4Lxrsl2sjPcBbhGAQo5+Dat77UGNfsI/7ikEOFB5F1K9mPB8S8oq9yqa7WDTuDKuCKUCiWguwcPq62HsMWu+Jb19ljy+7GY6SixZeKVO9LyoY88Ujz0ietsHrzSRBl5sgNs+kVJSze5wvUsspofFXUGl9soSxPby7ZcfNR836w/W91mdiwhLGOehd6K1a7xlxNjXnVPulBkyanJ1IohucISY5AypgjEPLQCq3FGNIZRsc59MbJZhwfsskXGWfHyri9pEs+6oBurD3TDgmHBaAhQ4BB5nuoNxAAaBneRZaSxMu/k6/PQwIHX7jybeQn7nzfii9hghbLv2Kg4OJb6NLxs4hVAKzI0diQY8MyaOqvfMifwNcKwlFFRhj7+arB2M8tP0K5VcII2g2wxA54Wg7BIa/mcXy9lBC8HBZfsvHTP8j49PMQFqFi1UGQyU9P/g/+CS6iZW5kc3RyZWFtCmVuZG9iago5MSAwIG9iago0OTUwCmVuZG9iago5NSAwIG9iago8PC9MZW5ndGggOTYgMCBSL0ZpbHRlciAvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJzVXEmTHDd2tq8dvPpec6tyqFLYl8MoQtt4OCFqqFF7bHnsQ3OvYXOnNKLCP97fw5J4yEL2QjUVtBShTmUhgQfge/sDXm3EJDeC/i1/7z87+fQvfvP4zYnYPD55dSLTj5vy5/6zzRenaGDkJkzROR02p49O8pdyI5XbuCg2p89O/rYNOzMZbaT7n9M/4QutNtJM2jhFXyg5OXxy+gAN/3knpuiFkDK37PtWagq15Z/QpYz4Z/uQvnHOye3rnZ6E1sqWJxni9my3V5MMSrvtOT4RMeLnB7u9dm5yUW/v7OSkpQ+O9dOenu72brLO20KPNJuIn5QzRM/eYFqbvbIgKxFldns8h4h+J7Xb4+9kQ9h+s9vLSShr3fZA5EQhlNk+2+1pmCij56/f4tH7SUdDtMvJY475bYhYxMDbPqcGURuvtreIUrzzkr9NbUGPkOhB6clrqbbvaAR6DtsXmeDgt49oAEtLun2JR+rLsp/PW0fvsLYqBGfrQBb0tZZ5Wl4Y1Q2f5hKwsS715TymYGlaYtJWGM3b8i4e4nUUIHZ7n3oAFLC4ebQope3avmz0/JgftYl8DEbEeOQ2jedEpJuiUQlMXkfs3vj7h42wN7S02CZvsKB6Ch6oR6cyTEoIjZ4yjKzjMFIOEJxZ4Fuixlln5PZuGiMY2qn9bm8mtLTXXIjzjBZpXKUTzFSoNz4G9nYEcesbc77cgQGlU5GtCCPg3mWDcgppoSZjhHfbqSyK6hZlD+7F/2320k0qj/+/YEv8SnyZOEob0QawaU8UmFUEU8SM6FbZT0HHWX48RVvhbFCjwcPknZDzxDEz8I70LsFRaxCmbB7NRlDzhOSFijGE+XdDbAjBAKx4gHH+/Rm9jA7ipnZqOX5e43ODtcVIHWtqRdON2/NDHhUzWXzmJhOcSzKjsuwb+g5TkZAZz4kuB0mXmEBrOUnZIem8fZjJDd4lPGt0bHyaGKQCplDeeWx5agmRkroCOIz0HquBlhDvbTvKAqUe2zAX75aAaA2y3y2t/axAut1SQYh5Z/+FRsAGGTfaWiloUFUb65mcDEMIczRWErgz1K38ANAj0TIpg59HBMZJoa35+LB3PbAwiXgJCL8lfSJJnd2t2rZIOxtFqMO6Tls9g9YOkM0BQmmG4DkbtmGvAte5lRkwPNMj5A3xEeuXcVej4N543EyYDLriSftJ+OhvFk9hEtRVgUhTRSM86SbA/3tbYTPqVSeQmquhtPW5w5pZbDBU3gKrHhD0SWlqC8sCi/ayNWCmxbukLTxB9Hlb1dFmH864QaJJb1rPNC2TR8+5aGJ6r8Li0Kl67cSELeBbzTZ1jIUFyAuE2NvMhEooPiyj63FmOGnUWFTWNbQzP0P1silegZ+x7rAfF/wMnW4AvCPGKmZEBTCbdWZyR8ZjplSrWCR5+qgppQPr6nniABU96fECF1opZ4A0W5fSyMiNhMb5mX1UnKwC94AqYqPUyasEmCCl5OLtcNwhcdKDsrugOAPFzmZLMtRpmRwJ6KQ76VGpwv6539KtNfIq7I8txfKCsiTtPHSiW9GEtL0Oboo0qxbdBUKO1urnzDiebFgMAcFlfTLvaYmhLK8m8PJjYfLQ6coY8CMzTKEdQgDH3cVCGu91EdTQDoDe/Z0VxBrkNoDdpczOACluEckmrS/PSZlb4tyHeFJRqmSQWjJvtWsvR3IH2tnCR2miry7si7J3UFSVG7xpYigw7cSW+PynHbSbFFFyDBJkTIBNrvIuFvi8bP3yLpj4WoBX2QDkqipPZ0Qx9B3LNnpLwk1lZ6xp+kNryxBX1AwtEVmsq2rmdvNXSAaIOGkxW2MYc7T/sFs8W+wCAEw1AyBAaQ8AYFUGgCDfKQPARp/3P73L+w8jrGy1yI4g7b+Q+pL9h33DSLoKwFWkFZTvr9HRAxll2AHqGIYplpMNwTRZRhO5h6yDB+RZh0mCWxKaJKanw4wmexOqkGIDIlquaIZo+SQDSwl/JJOSdGdMQKQK0TCYZH7fVANsAW+LdhKGK4qsnTwkYc+PtX+SuwLepYicm7KIdj4mVHuItGw8FSbK6jPLTyaimRYAkHSAOx/ksT06G1aJn+hnDBC8Wpf20D4xNtvXys6hbQOMDYCqejRp6KrA3+VhtTeXav0bhYj2eoLLfiPWUjCQwhzCC7PDRxriOmqN0dJGvYKFkVVssOirGhvMbezhVo2DGWOcKvZ7JtD5GtnxpKAe1KE4VTMAsrgvg+8lVpqE1GzxZJCwTU4hIYl1+QeJZRej03k25DgLyVwlu/2+8/AqDO+PIH1gmqX0prA2zMlVze86dNQvvQHI9qk5A68hvDV0oh/JZAhE7n9nL2PNd3l/L0MFOIcQLL9f+PfGbxwYQgebbZbsb+kpQusUg1FhR6VTqpDvzcaQ/ahVpiirTl1DDZA2U7AiQR12J7zHZB19fXry3cmrDcz1FIUWGyi+sFGeHMawATjh6QWKmX9x++TT23c2b1//+PDk0//YyJNP/0j/+eLul/hz+6vNP518fXvz3Wo83dluPiWejnHyMAr+XAqqvwUuglIuxNE6aLYd5GAGyO/cru8f/AuoqrYfYsLUnRwurknKV/Fd6bpe4kKn1uCGtMD4BubK6d+pW93F+qSVtHZ7hRnNxstd2mcfhSPmhZwJRiQ5oikkqrrHRzsSrmAR9A82VtIGO/SFI5Ey03/ses+hgzUnGWw7gzJFgyOgPxxrJY6TZCVoTl4GesCkoAvs+3p4RuZIPQ+r7XWkjcqyxYMza5god3roQnVGhMlCx6vawQgkkhS12VAooc4cag1GFVT+052ZvIWJN1wuzHOzn7/7LM/XKHdJ0ELabqOuJVIu3hbbBwsB4aptCDreJBHzfVstpkLuLzAy0owRMgqi3jSJK+se+875f9AspQNTuUuVl6wupobe0JbDaVSeKZbjMCxaPinUOMs6zXqKmnSeyZWChU5x/fM6KxIXKJGF/WSfFsJsVAmMGvgQne76uZkwh65x24qSi3AbTxkDKTNH+SRPEjmEjkT9OXG8VNBNlMipj8+ScJAhFi8CGoGsUW9DTi7UrlxdAnxo4QaW1pG3NkRVywb8jqi33mK1ZX70sqpQw7+TYBoK+0ISGKF0VUUhsYsdqyK3UcnBVZ0yMkFXZQSbmysjTQw2KyNpNQXDN1bADwk3oYz6dZuTu5bE8QZqmzKfWRkRxMR4Icgc7w0E8D4xaG3ej7JovtibvuvF3pBG6rvuIQSLKlkFVeulj36ffNRYkwtKdaCrXUsCFwwrFUcdS0L5TMbnOUClrcuJLuvhcNdHlxInmKSwIVagepMkO75IMdO3OzJG8RZsXFvWn2HQFczDfT3MT7kjRX5De5n4L5KZAHVpKCUuUwzQQznZ6mHLwGcC34MnK14T0T5i0UbTNhSI7na20D3qWfca8XnifBmsHvVsicXlIswMjDs2uzc5ThMgmc7m2b0dNHw+L+KtXZkNe8eXCza3k9LAS4sg1xW1kH4dwW+vHOxNA1lqyd4MvwWPk9gFbxt43h+Ux9Owxvtmb36sLB4uZfHPKNhAaaZIUSxBg4k45PeUdW6Wx2bJ9d1YUkxdVo8qNGCustHuEMiDMkauSQ03M8RXSQ5pL8jqgJ1iHYTCrRmmY8BWOdHeNUZ/nlMzNjmcjPu1C6S1GNOwlrcxtI06JxEZ13Ai4B0vifDB5SQx/BR5kYSSpYaFSSi4qd7HBQ+7mDKda+TcJBPLADtZJb/d/sZM7NyHVdSZiZ34+PX0lZiY6+mFcYj9MFVTFxyliBA2kXrazz9/yn9eDlzn1JoTugFAa0aj6oXmE+oDKD7ecS+sbKlTmYn9VeKKtKgjD3+s6yXZlPXz75lZUkUV41pKFRjYvc6x31/hmyhd8jOqFGk8f54TOERQk2ov+F5Zl3M/qxudMyBX3mgfXTzaaCuGk19u9IcxcVjPJK5AfJssF9Z17R8Usa10UjQQ6zmB0q043L3IDM7rrPhyejYSN80gSHBRKgxZgyo+2VIsJPDSH4MKSMVeXAJ/hLLqYq1AapAwdS3NgJ3i8cRZM8AnJi/9w2mGCG8Bw5Av/f9KN2A1U1ZyXTeEwtsfpQwHmSkacGU5tdRfH9NkblYhUW7Vwpn7rGRMvblYI8WQw8Wlhzs0loMNa5i4O7/QVn45aPcul+Von0NfcJWj4+4z981TVs1xz771/WBWclkgwxGfPVZP6WYN4azhp75LejEqPVqi4HLhi/jYlFQv0bFhVFiZ6g9S0KvY0B2yexFhYJlWLVwlpUohT7uUFwvUyGwH7LuvL7EO5yhOR1GPXtdi+7/W78u4heM3tKSMmNqSfpnEnXMhuKGSvz+r86bYmeoeeVpPd5rOP4gWU4oc/w2PrykUZL1SXfyIxawWantZo+2zusYYPCLbag9GyYQU70029hx87XNOQV6Qc/od1kUDbBR8LU/DxAMog/20cR9//rIvZgbhisk0OVfwDDdARpnK42CaU4w5f3PKcspPhsnjcaXcWnncoOknmA5ADGuelRAl3ECoYZ1XC5SVxl63kpHrprsUgEa1yP25FaqxlfL9C5SVEhMxC2XdIRqBPdcSasPCOE+zmDfp46iMC9PMJL+i1EmB9ZzsUlX3W/op9+bjXFWU3o4qIsZ1MoQbRfpPb9eKipSh926tqKiWZixL7XQAF8tFoehq6koFOBracqATkJyErFNXqzJK7CwGMz6qMlLwy4yNRzxxdB4Cxga8Jm9ZRi3vACsvqq3gTnRMojwck/WNXxQy0W5fr5AJKANcV0t+qDyBFRXfWMnPIMeqPDSSsKuk1FnzA1j183wAS3nKAldmOSqUKyWgecahS6Mfzs/z8TyhuorRVPgnYr+qpf7bSoZ1hmU21XNW1ZXhnCmcU7Tj5OlxVdri8UGrATrjlUGJLu+SqQt2lOjrVgM3Q/+hYbaeLhGRK/jSgmVti1tLmGdVMhQNgjcL0ZYSlNfwajemusdO8H70Nb3jvp+URH+/ftZmRpbvTfjr/QE8fp6WQgOiBHL5UVPdjpqe5iM0JJietGOg8+GtUI/m0XGbK51F7Y5OzmdRu6OTue2i9EwCYlF2irqwY1Ze/RHIyEzvGzwAmY7MtdOdRwcgF8c3i61uFmqVn7Vp82FnLC8/xcpe/wLu0mBf7a96HLWWOtYZXX52UtqExZSVnM3yz3PZNxkkX9HhaWfmCseFzjqWp1QOm3meKqm5fmxVhLwO8X4pDsZ0Tneka2PoTgsyMc07e5xrgulIxB1yCoLwQXNBWcpbhOkKmpitMh8X9pkyKs4zawJrUapLhdmGV72+qOS4MjDJ8ifdYK02qBL2lBW39FNTVJaVkla8bFdTxaILTA1xdcVPG6WJmeOy4aU2qUXmyvUA6kq3BaXQejsvl9BqTRGqGfDd0R/0C89CGn4UYlhjm5RY7WnWYkxfHR2BmCv0ua2VVq7BanF2dFDyOn8Pv9UYCzEir1g/OyrmKqqTFXOx8llmKT3hG8oLe4vVwI4VXnomNtdLrdXuLerzjw9T3mzJ+NFRgf5UQbIHtGL0nz9ugBsXVx+Gdv+zDD04v2J2rQ/z0dHuAFpe93Zyfa7OpsXgbkUbP6Mxd947CAu2HqCEficn7SmVvUPzS35oZkvmoKaybz863BijPjat8XS41/ae/C8dI+XMe14c28mltjOsGOptp6hQUOBDzGdsCKeqxBj8JZ6uVcxUvszR/XJHT14fHwCiaa+fABr5uaBoHFPRv9rLrRD+hBYhTtbYMV/WrXGWOZ5F0DpRtRHEBIfyYSFo096q7bjGk7Vlj4xz6nEWt3KMJnsLsvcWjtUdV+vVMSB+gWlyb67+TIFvAb3x4c6Xp4pR14dvtKYybn8l+DN0E6ne2mtpZjqdpZxeUfyrx1nKqfgP79vOH1W7rq+Tb4f8QhfugyvjCcTJ4lfRysxX2JYUcprL5F+TUlEmxhJgilrkSJQVdIZBkqajoFS0rI5++LLEdTvqvEoJucqdd7Osws5QxJNATCyVJIiGFaNSAw+jF9T+Odn2aJ6kKJn8nu7ueUt38+hybQ6N7EUmlyrWra5vDfbmlzmGRiF08K8Ix5+bLJop40lhnuc5feODwhpairvTCs6jP2xaM39kKW1DV58omBaG/85omuahRuJ0Xxdp5tXTJDLpBNOTNAXh8gkB2J0qRWKrzHxOaySlSS4NiU8g9l1eY0JxbXbBkUp6mSBgvXG2C0EeQAVURK4Eq8O0l28IWFZnP4VyB4FMx/lnsvYjmQo8wNmk/fCb4eC/zOOczf0wvdAatmGIXogdQkZ7SVIlwonMdjE90nG73y5Mm5ZDRsu+eb0zHg6N553fq3oOPaa4lEO//PRa/fkZVf1jZUK3mE8Y5tlqGTLtXZmNU2y8H/MdURSfb1N4UBYoxGNq09UB9d1PMzmdft4rvzDzibGDTI4mcT5FfLztTw/nBjbCzqUEhjWeIf3HdpVVMxSIzCDSgbh7dWa00IEYc4EHPLpo2s/d7qysGpHpUoC0dH7Gu8TqwEyI7GVbwDwFkw7h1F/THVmCvPk3yQRgHPRi0QVNji9tndJZmTA82Y8auH2PEKjVmBcpWDUff6pfvMvKQKUbjOrLn2nLvaWDUGfLKdAKZM53bhaDSpjjl7TpjysZ2ejPRCSjfz5YVlrTXQkvcnqUtH87qd6QmOaOpcn7YmOpzZ/l6pO55RmX09rZyWRTMfWu0noCEam+6ngzGlqY9B1uZZOAHIkJMjpY/nlhIlvSOuV7xjp16V/nUr3gzEKAgnKK6A9Vw8sls9qYvRNH5QmGwX0INGIKEEJXBTwayPTXWTGXRMtljGsNKbRrIjb7HqNkwOyuTBVeo7DgHKGHcelmd9KyoCzFZKlcTvKY7B9zbFNHt/16l644M4LCcS1he/sPlPgPBsbI7S93FG2hMojtv+/oHHni9m8ooKaAU9bvD9mMprDXnyGOKLkct3/IwQTt/Jb19Bei0Si6FubrtLgGLz/fBboCBbKZdXqbRWL/jXxx9BFSGJGGsqqGZ5O11IZN9GkKaf0AXFswuuQx3dbwTrL6goZ8vv353PSbjA248q0lH4gTyHv4LxKS4Hy4BGU2urZVbnu7dVZokdiZcfh0jpp+c3L6r3/jN2d0Kbpq9p/VkA+FWeheQ6cXiceam3vf+ABdROi6a2QooxeoaqgLSPchMx6wIcf18EuX+0ud5uPsqat0LebIgRrGS5nDzXxN5sEcupzlTM79shrCH0eN6PHCoNHsntdygb2ig8OuS1vS0ngqqLnCBXTzbp6Vj8LaPTFLh65eRZDDVvigqwgpmcMuFpX3iwdqRw6C8hfduBNLGkRblW0vcoKjWui33vL7VdewrAVhjMoOKI/EXHZbUsNzjUI8y34Oib0xOxl45rAOx4enR2EtFjbuztqmY85OpCADOhApMHyzsVKKArp4zHrHN7DkwHQXn+pjfIZSAspwfmRYXFwhlg4Xux62Rtp0Y9E/6Ny89roLxrJY6vmDegBcrVzH9aotB/tucNVWjUVVZMzewDCUxEKoNF8qQpZ63JR2HPpcyy7FyBA3vCGpCjsr3TJtMIj0Gw2XSVxWd5HIVMvoWnotQhxLm5n6mna//gl/sLhY3uFmTErGXjdmBtNtki7cQMws8ZBbhNuNptu5kog1EMx09Hz1zqwkOFWE/SOb5BxFQNuFdAcWej0vtyuWHpYG/vsdaDd0saKNHGe01nSOu8QcL7lOKP8M088rKlJ3uRTvwjTOmO0uu6KGNSWBAnvMdezOxCSLWvY5wrSFht8YO7wYrkcrk2gUkegvN1zTsobqFnhNXcIi7ZFbv/ow0a/fu1Iw7aXrkPSoXBEUeJCFxeXPz4ZCcq2kLZWQ5PRzUSlmO0xuLaP1hYBZQr6/9sTLSfbFPayzy/plXy0zGTwPVqabCrwXRt6t9shNv3wXIUVE3u0C3dEp881jMkmC9VwLBa5CXI3DV4NzXMOWcSIsNzfZhjYTsxjkLupeptL1TWrFLBhzxmGRYaoTuG4mI10pp9akcgJtMKxivGQlIR2KeNZHtWvpwjlfkzsinWqgi/DoJsTV69xKTcD17znM1H2oqw4Xaeb01eP2fFQuQShf9Rg0iUh9ZBktjMfzWjkXuShjHtZx7pHEMluu9hXnrVKYYba/DDE87opqGRSp0zV1cqjpMONWklQMevPU/MKurndLc8pHd98wel8uEJ28IsZ0S/6gGjTogcOjmt7qbpdS5ahL8bs/Lwf1bb4rli6aMrCa/zO9BgOGVMGmMQDk4fanUoivUpExRRgpQvDXXbDkJJBVTFeAwTJNiCsfTTlWR+bNX9lon+S0rQN+v2WvWxdTGUHarkEZGERQbCOZ4ImHyuVjJKL85FWCer04K4ECRCol2zVlW5Ge6Iz+D6x//jzlWZg411x+d/J/J08udWVuZHN0cmVhbQplbmRvYmoKOTYgMCBvYmoKNjMwNwplbmRvYmoKMTA0IDAgb2JqCjw8L0xlbmd0aCAxMDUgMCBSL0ZpbHRlciAvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJzNXFuPXLeR3n3V+hfsUyNP3Qv1Me+XBfywCTZIgsTROoNgF9E+yJpIPvFIsi0riYP8+FTxWuQhe1o9bWSgB/V08/AUi1VfXclvd2zhO4b/0v8v3zz59Au7e/3+Cdu9fvLtEx5+3KX/Xr7Z/fQGBmi1c4s3Rrrdzasn8Um+k1ItzO2MZ7ubN0/+sH924IvglvP/v/kVPKQ4fcgvlnsv4MGbWxi7HuBZb53bvz8cpZIL37+AD9Is1qj9NwfBF8W12H93kAuTUuj9O3hCSWE9/HqUAp7mev/HA8NXGA4DYRq1eBj5HkY6J5jZfzgc9QJkwscv68f6e3zcSyn338Pzmi/GK/KmVwezcMeciStq2eCARMd4XtHnQKlkjPnEByX9iA9cLNKwwocFnvLKcRnHSrHjapHKCBwr2jf8K1JrGRszWDBYVB3s8yLiWGF2HsYKo3AsLFXtjkIvLg5+vj+IRWsPfOTIJ+e8l/vnB/jMYFVK728ORwbM8Ubq/VdIh/AeNu+PB5hFLYa7/dv67Ys6x/dl4g/1d9grAytT3IcJFA5xwPby1Cv81oNw6TiBYU6l1zprZHkt4yAM8K3kgss8rTEqz+Us7Hv5/Q4egx02Et7wBmfgIFpmv77HzwblLQgjTGHh44f64MuDEPCztUDDUUhkJB8T9qK8F+RJGHhKOvLl3R0uDEbD/Ovb+gKyCPLaMgWndJFFVBLyEoTak2kjFzznOsyl2SKtSauB1UfC49A0K8hSXi1T+69RDbkIDEcxgjUuTGUJu028KBseXjTaW7F/XQdEOTDw2slj5Nu3B5BRhqTEpUrhKaXxo+XCATF5KUgo8M0vwu2OXERaqxi+Q5ThiD2w0DCT5oZKLJHTxHVl8U1SmMUZRaZq9UBKUEbFM30461+BAaCxOGAspmQvyQ7X165Vjt/Cl4AdQlHJK4txdKo/H7RdhAYkJJJH5OoFFYs8VV5B81QlKqGIoyjCjV2KNLxCULWgJPC4Xjjn+FKYnWmpw0R80SJCNqwCZhcjYOKwbXFGQMabP8FGAupIDzspwWKBAYkvq2ypzAz7zp1crIB9d2Q0QTfxsegmmVjAEFwObp4tVpke3DxskPJTcAtvdf4h4OaBkwAcCG6SIUKfhW0O+Dajq8U272CE2q+vcH4Plk/uqbA2UI08ABBodk14vWirgFYOsqiEG24qZcZ5gJno2gImAkZFkcqW7wO0ScbRl0nC/NUQo8r0IkOHkQ32EWhroCMygIIYeUElLyIXSLAUFblOwElkcCtveWx9/xZNUAgRTpRbpOcdNloETnUNOEnPD5GDsUUV6PgeJxCGgy3+DhVRWw3wgM6bWZjQXkbM8IDzI8wAG+UQIljDMKScMGytbIjrhUcIa57CJ6eD/ZzpZJ4UOefU0vIDvUcLDhgsgSriCEmjp+kWa9VUY6QFs6c5+R3VDGyalnZM4LvRm8hMjTyO1cEAgAP+/QW3ALxMBwKxosMSGCMVfTAyFmbrGJuYoKiuRlwWItpjHp3UziiPLemGZhRsfAlMBmSMn2/g+Yghio00KtRBeaH3U3b0trJ8CcBxtIvr7M1/gU8vOAu+GPovApyuHw5HZQHH6qYihd9Uuuti1gqJ6982LoqzdOg76isdlXGL43arhmRhAejLwgmkrt9WbfnQsEYBJKmzrIICj4BvADzz7m4l5LxHhgCfWiVIS5hMcDtEfYLF1ES8xhfoxei5SoeFmbxNHPSATPsGv/TGhdBRQICKCksW8B3Ob2ABlvrZr3AJ8IflW3sV8f5DtDcwo3MEARUC73mKGn4OsgeB6+JUp1adhBe1yoIUf2deZAnXjdN6G8NwULLOMmgA6RilY7iuMQwPbDGCivTdD1WM3o7wiUg3sSf4UvSJFBGo3jWoNjYLL24b0xFSlVmsLE59Rd+sHGFRMH/ezQiPrXY3FjYMM9bQAS/7PemU7DaZVefncVigVIvOjQ/c5YC+8FZppR67Q18j+rmgY68AZcDhlqodiRNZb+niAcRHRhhcNpiV5C9Asqxz4K0/g6lBHt3+CHK5SC3Q4YHoEWhAurJ7j27mwgxsHHBr6/MXRz8ZeK1O+/7HTFDxfQg8Jh5oxXv3N8rXHZHgKDe6UaYFVgLKYoDWibNfjIQyk8gQhUgo8FRcJ0QpbrodGpRIjbGNGBDhGDkm42h4KnGJqNbbADFB8BqJyd3duwNaLKdNY+6J6/CfQWSKWfv1k5v/+MP+70A1bBam236NFAC7lGmNc6IwZbNY46fZxk8rVnIYB4IbkQd+WXGmDVITDt3nJhBEaHaggkdmK+H1SrCrsyo54m7TOgG+NC+oqMcuGfm4dtFbSDA4d16cE+HunLzQKUFoo+eNlw7BjpnCA2JUxAflYbUnAAJNzTUAQoOFBGjLFBGbGtdhfTUVhulRdFwVkrvMPQC6kbgqETLWNb8BSwUhE3xEWmFTzDWgqR7NKYMGlMDnryERbdR4tSHxUcY+P9CJQ67bat+Z/gasCrLdlo8jmjgE72SdMVPHmBrGWrCJhvFuteghnL1azYcZ6eFqg+uR3GzQdY9kHrlCGpKFqIg0IgA/Emp/ilAH0YnipmTbJ5jz78gFgBllhixjqF7iLCQ7AlpIwWQgnCH+fTzhPzuENBUbp8xaYj57AOUtP7qKzb+cnPg+VndMAaywoKJTplxkX9wiOm0FB/0Mbf1x5DfGwmAROvuFAbk1Y1UdumkwtWI/Og5jdoVmYk6mXACJNcGMy9OUEmZSyp0RWmZuXi8xdV92m6lrZ7dBDCzRPup6jZMR6HFaCNaM2c9yhzHBo+bRZvlY0jM++rqY7ym8q15pGBxTkTqUe1oTQ7Rx7HOTL6OPJUPqIKVimjw4OiRaD/FEJc/zPDxxAURUUzkwJs4wMxgPhZhHYyiP0ongOD4caGCb9WMDGkNihgcAjcVaunmsQKPF1ZGGNgP8E5AGZdLG4rq0WDkVJ5HGLH12+J8DNCddLZsdxAQxWmeflKZ/f1c97w9VxkguI4WIsI2UyiaMBc9lkZJmhacpboVRcBHCnKhQEoJfT4tqpGRUhXSt2Ymca5ZedvkFhbEGbwLe1+UjCalJ1mLt9CynVIEuvlglzopGO9fVWYhjL3LwZnD+sHCscB5lXCkPiD+OsokUENUhjD0jsZ5etSnOKIUpbk8Uqss2IsOZatomEpw1KcJxV8ao6yIqLAd6xJU0Nos4shG/NWcrr1aXOAjYdXW0AuN7E7OBW2hcMzFqknd7QDkFDK1kfLCXArDdif0nwwlvq1JP6xkwMxabSFbo3dBgEQBoqy/YbiE8keJJBXPAEKyHcLMwZtvs6CB13pfM+0QoLgUmEMIikBQRLnvSiu62AN6947bKdi1OBDE2IkafJeP8dSxsgtmlCZSQLRWMJf1LueNcrRLmLJj2POz6x1RnavWaZCNLXUtQ7rbuTq6bNAY+KJxVbXZQORCZAuOO1hWGIKwFKVslpdMTyOSiSfheAPlmeVyAjzU6oaIgIuNsqLMotEzA2Fq7uV9rFPqjsuU7TITtdHZsn0mzG8CXQ3GCwPkXpdYchZQLQ+hoQF9g2ro17qSGOfT61iZDeuRUVYh4Z3fAe7ndWyzZrEMFQbccDAh4s41erSWdrnTzFsrfrJCk2oi0gsQAi4b4tZIk/ax2BkCDqfKHuv6dusbHhgIOzK9B4gUR5Y8j6HkdKfXKHdtWmX+JOyY1U6TtStPibnURv4qlFsmDd87RxJg+WI1tduOS8qaXaVg9SV1ibVWV2YVxQ0tA486CWQQXOrfCz3EqRYt8678hWxW22bU6NTBHTa06N6ld5pyPRa7tFGVs4X7S+DDs49t2/bDQGnCp3xh76oq0li3mlZe0SY1o1JeTJrpNL0Ssg3Bs0qiodK7nCLLMSSruHvexGz0rsyS+67pG3a8xbsGXkx5jWr1MenKmYQZHxKhK4X0VA09C3jW3FktHFWzWI5plC9fI/cKs3s+A2Yvw8xk5l7TYNX8euccSYw5Lcfh+g4Ak4NmCqUsde6rdgBxwAe/G/mTT8ZY7Qvvifk2bVLnPA17SMKJYdfKybzpXPTQFrGTe2k8fEZohNEeExgpp3tdR9oG0Km/qyFspDLmUoklUvYq9VBTLyYCRzR+Jbm1BeQw+Xu4jekHwtLCxPWWwyQ6bJln5aMx5WVNo1paoMtTx7FpPQ/PlZV20S8pHQKxG3IPcezVrXS2NN5JPure25zDQJJJWKgJbJBrvMjDJV0gNM6CWXWNf7CyxxQkp/bkdDaShuvdB0gzVl37X6Sn4n7FqL/IZmlEM+En9tuukl2zR0dQK1ExpqQEiM/wFj97AH/DxgiaqJogcVnsx9VzTyxjPwLqMHlbAFWAEq731P6qkgw1b5KyJu3V80sgq0rOaCGk5eRw1EVKEmqDUUQgLgumpNrT6JKRYmvAIWQKahcblnA52HNvmDQaSKgaHNkbFgrAX897X9DL9Macuup4tqoTgJmC9ZXA2rM3IhBSUolp17QMYeIyAUUP5Dt9qQa7Eg2PQew5ggOdWa04PPIDBbdMN8DS1WoqmHte2ryn0HKeHFcm3uA/offsQVR8VAz+Xn+joxj2rDZQY5XUq0otEQH6PyXv98LMBMJNZtMKF54OL2PgPPqYWtIu7LaxFQeOUA99Q/chPDeLBegoyFWuashqam00B/6p5m6lnqLDVgYg+7RD/c02ybtV0kinxCt179ag8RVpnvD+X6Rf1GJ3DNtfz6RdcNY1aPGzkDs9h1j4tXTdz4Ycj/L8AYIBJxAYX3pY178JmM1T2HzBX6aJXAyLrJeIcGfoGsccbiE0BKutjL3Cw9R4g4C6m+FIaJTuYZGycwjIlRPEVMeQJr9Ne5Tdj4em2fkuUGC8csNLnrIE2PWzW9PezmFBExfssBkOYMPkcqTHagPo8CzSC+Es3Yi5YPdrPGjgFjIDYd60f6YrI12T5gT+g3jFia5gSxzapobxk9AHwdLrkZeu7Hj0OjgYPziqmWHIDTevYh4LRrE5d6jVmkuZ4SWPNSUUKAZ/5e4z0iWsABCzJw26TyKI9hVSttOISzV2Xk2cxoBnX1CKUQaiw6RJXwDXFiMkemmH7uFxLw5pmiMvbbRRDvTDZDgIkEDs4TpXc5RG8MWnkqCHxc4glJFOcyJAIUFQumuqFwsPf9rJzTL5ESFjXXqlNDXsmDCtJFQ3bM2iuyGet0Als5Hd8KwLJA02zvsH56A6NAjYbLuYOExpy1kTQzUECmCBeqjKctTsC4dF1NQ85AoGOmJ7o2v31a1pKVuDl495t04iBSt4F/9HJbAUvntMDBTRtuHVCAntfLJKT6ihpriKD81sHFB6O5xRWidAQoXgTa5IODObz540DNohItomAachCRKBr1OjPyZCdCBVGgKAwp9K+Ua5mJ3vV6tM1syOCyqGh6484b0NVAlbUpU/lenUNZSs69JNUjleDGoryeDxTt/0QYW+F2Yat1nc3mgT5Cx37NVAjiSUFymK7Q6+k1WEdR8t9S49NpuCY3rQJFpTm+AAVnxdDUSPHkjcnlEtbmsYLnjSJG8gErSuogud5ArlQwvwcuJTWC++NuUZn2Xa4FXKW4dapS3ErS/tZR7cCYeqss1vK4E1SzdBZWSb0kp1Ta8lntE/zVdAQdKYkWUClKKnAlYSr3eF0JBDkeny3RmmhoypZ5BJfQE6FXtVe460nfmF+duqTrJhka2lxhdZDcf0GHUb0eACupIaNelrLqdOEHd68MqzDxqrXpYcY48Syu6siFq3seZk+Z0LOeVowuM71LElr84ATctzfxTIuuL9PJWjar0TLAKOrYFZSOm+lcJMXDqGbaxNoGobnBJrEW7tSAg37dO45+aywwDxvp9xkAIPkfhgi8hR7Y9WDN1WgYXW6Lfemp6jglgsCzjuqKoG5fo53KZFyYcUJ+ZkPnx35OEEx+Dw+EN+c+Lw5YOwF/juwAYMrZlKyEP5w+58frERnQsV4jIG7kvdeGR1iM/RmY2k4x2YhnlQhnsTyuRcLNuQ9i142dpd8hgPgW93Gg8Hh9t4PzwS8LmHehpKQxl3LiQIipl+NgsgljxxmebWr56EmXbNtl3DP3+6Gwme4VhNup8H0iQeYhynG6/5tyPc5vBGyRrokqq1rjMvRId0evjSwAyH60jLG4+3jgRt1ZN2rtzEhYHQSBPD0A9OY8SisGI1j73Z94LuDsgtM58nB5npFwlDvBfdN98rYL+87iVPZdOrE58sMz+hKFVbBMgKsACcWpycVyeGxFuJmE4+d9kAPux/RMRXWgfjY64YHwFUI+ajHuDatsMJgd+BVjjGA/wKSoGeNhAKPNQpSexiqA5B7jWOd17p/A/YfpKU9a/WQ4/Up5pXRsiUJf3MooQ9tf8IcSb6i0jR9gOPAd1Z3IIEx3k3JYoQnsE3AqnES8v6wMRRTYTfv6M1MQ41AR04LNPltH2IgIMB3oeWKkh8zTtqzpn9rUCLKJIZbO80kqiDbOvfSUvG8Ca4wxcY474Ir5IcPsN2ud9NUgeIiPO2H7aOsfJnoeTVlFCXnt3s+uU8pJ2kSCW0rVdvsmlNia04z2QZW75qql8RGbbDsV4B2zBY2Z/ROhnlgWr0R7ZfxVJ487466TeKv8/vxMthzrysJ1Gh9wgdMZ1jPX9i916huvP3iO0JI5OMldTFnSu/oHSI19v1LPy+Xf5S3j1fhdZcVXnoqqw2xy9inNcu5RqQ0NrXLMjx2QBqQzggAsEMyXbiDJa7+pM6gZ3XcMrE2WE9vqElfItkQz4ILTszEBonyzT5nRQxxqOrSwEOrvpLrnab3soY7gGdN5B9zx+8mw4pJ+I/KsNY7Yq/oQsVsgyhwjIemB7I6Tgglowk7V9qE/TlppCLNJwS7SaQnuooQj88iVDkY3pNJ5P0uJ2A0HzvNzcHFohHDIwxo4hE5pwg1xNthFYPwq7eEyX0ezjWGwLrjfXPxoJIU7wGe5F6H5wfWfKux5pQFVylrBUky+82xtq6WS6SnKcXmPJDaZtGH1/B27aapfZtk07cBQncvOR3QZzMDIW2i57RPHLIjbHO7Q7oG7ZRL2/nE9508JJHf04QEJ+7fr+hVunvXTG0oj50E8LSmT4aIOQTw4Y17H3PaugORT79QdgeehJVOxxsTBF4AfeQmHo5I9yMBsHCN8RQSCJ4coL/Y/y/5ekViPdbHQi+AUNiP/DQ6NDBi//uD00gjOoOY5MNDrXfxGY5dN3Egx4F10vS8Arn7PHytLAuLzDOU53wzoDzn9r9BhihhBH0MTI1drAj51bIaBGs8zCjwevQ8kpVP/0fmp5+XsAgVbyn575sn/wP//gFBVIL5ZW5kc3RyZWFtCmVuZG9iagoxMDUgMCBvYmoKNTQ5NgplbmRvYmoKMTA5IDAgb2JqCjw8L0xlbmd0aCAxMTAgMCBSL0ZpbHRlciAvRmxhdGVEZWNvZGU+PgpzdHJlYW0KeJztXEmTHMd1tq8j/wL70sfuELuQ+xJhHUxaCkEhUhKJkOwwfRjMkHDTg42bBIV+vL6XmVX5sjqrl5kGSJsIRnAK1VWZ+fa9Xq/EIFeC/it/b55fPfrUr559cyVWz65eX8n046r8uXm++vAJHjByFYbonA6rJ19e5TflSiq3clGsnjy/+q+13JjBaCPdWoxX//3kN3hXq5U0gzZO0bvKDdIJhfef3OKtf9yIIXohpMwPtxspNUQZ4/jwb7Aw/hnj+gt6zTkn119v9CC0VrZcyRDX15utGmRQ2q3v8IqIET/fbrba6gEPrD/eSPz1wbF16tX/brZusM7bciQAGfGTcoaOtDVxEEHI1VbZIeRz/Q3v4md6+bebLdY2wtDauHTOAiPfbhRWFMEUjAi+ovJD0DGMQH4EMLSxQvV2l7LB3lMAqgfpnaLdtAbqACnAx9FCjLosEZrt5BBMXeITvDf4EH1c/x47myCFWm83W6JY9HZ9s7ECd51dv9zYQUoZ/Po54Vc4EdX61XTzDjAKq63HUdSgolQBcOMkyknt6s0eWDYO0lYUvCJaaKmkBlFBDGzvDPZPYGGrp/X3u4JlHTWOBdCiwb7DhnbZSiVWW6kzD12eUp/Raypa2SUVXQrpDpMqbWcjjvM/BJOKMYTpdyPX3xB1TDC+PSN+N4NnGPkStxSBE0fqE0Xu6EE/KCuB0ry9ZS+Vxb20/HI3w66GxOLx9e5Fvc8I9F29LOdyIAVbjxFoQm763YjBO42j6yF46At2skr1HhmkBxFPkxcQLD8Hlnjy1dVWSdrh0kyhGFP8G46jIENmUn785NhofPCfCVrwgHFdGAXtqE5lNc1ZrTJNIo4KhOabDZSpkd6D07Z4bxCeAVbYLz1ZGegg3EY1emQG90xtMbhvKj9kgkcJLnmxgToVwlp2puv6c2a+fL5v6PxhMFHOeJ2giiFyjuurh3ITRqbsq71pmTNtAH7gElbYtE8tNbgZrXQ8gVRHCbBVHsbUW64IGUxMzpgg3mW1Al01wYIdgEOs5mC9AkNtz0RAvkI9Ialwi2fpCOBKr42W2A3HEUqbkDU7jttlTYWlyFqW1Rjmv99YUk2cyneZXx2g4LczkrSK613DMeOzSddrAZYmyVZ5p0wva91IQ5jDEYlGxi4VbSPJZykWrZNSeRsOAZllJ21YUChcTRzVKeZk84WHBSPccZ2iFVwGIR+mU0BDplMy5MZ2fQa4QoJBcwm1olUYPKhzTYYMnlaydPt28+4N+T/wmEJYM6NYH6iaZsc0FK0PDhO+nEqCoZnQPqeb0cEpfTrtyST963wm+r01+xpcGvx9lB6chSpalcCj8yRNtpNK6LfA1T/DYuBqEbtedgQd4LUf9XNHMh32k/pacp97H8S7QWILYU+FT3L4fjGX20NC/jMgIxD/ufUHE0W6GIdFZiJ8soU+9zTNwweFtKKSCd7tRJKu0oLFZCHgTCUcPNq/nONhzenVrjyj11m+20G8I4okEZOXdUlDg7NvyW5rK0xBsLMrB/bRwdLDwCc2T5bBjEY6wMwH37ULIWlovWremMln8EkoF4Mb/C7gpxU1KP2ZatBH8sRmahDiZ3GzbwaqFlyKXDrGod7cvWz5Nr9EWgXuFB2l75y9rmaC7bXrP0zpCQ995NxSRDTCfZ0vG+ePB2fPmENF2PZAckpw7BkIsgUZNTLoJQMB1MLTn8xOWjef0PmuG6WCGaSTrcRO0r2nHxzTD9UcvcxAwq+c+MAbdsTs86UUzOTyMfEozmWTDBndy8SG7HZlU7bAbX202MMxnr+cm/cwKX2FtaN1povXQJof7vB7Kb28lDq40eDQH5uUUtCGaOwcKRXmZCm1Dac+REq7gRmTzBf18rY6CR0hfEtZvXPlMCVDlaLQ55peNdYFxBt/If4JXug+RiM8ebhmh+TzxBRhlZrqXf2l8vQui2qwoZVfvG8ROMjLBiMlB/mO5btkEi8k3xLkNDyOJS43wIH2LM5gcN19vwHcEq7jjPX3OM3RkrJNMHjjT0gwPPrU6MZv1CSUyW/02YQWMcapfBQuABugWzAikYBiRKOayy83RHZwEzYAKpS0wfYOolPKavJmnxCPuxidtjOGLMLWrTmIJhKZ1xxAHF5y+GhDV17nioMAx5SKgyXEv5pu5ooDzrZUcQDZPJWE1r+jxUOQlhcs2KM77AilLT3fqN78KwFndcoMHHy7lkhe5GqT0UAYQWMCoWv89YtUVHFRsze+3uCwNiRBKwk1dpquEnGaUl4FqRfgfkoWRmLRcCgSLmIJDgQjqOZu1iVUb3izSRk5KWzR4impx4xXNSLsZs3PFWXhwAW7mulb77IATgyjbBTZyiitoI9ktTNVb+5uqjZ9VXUsMz97GZ0ML3siH8cCsh33KMecTuDbNTmXtLFWPFX9bLpkSoSBvpshv6psSQk7dZ+SiUEE61rFc1qJEZbAcdZh7syYXwH07JzXGxkoy+XXWS2CcGtWRuoy1mTOjoBWTUhOUcEVQ5xOKtDTkdOBP19PlJCVUp9vcC0S2OvPemqrErCHP4CZ8mAFKTtaWAvbl0u3l9wZ8zX1QOn8RuZ0Z+vNMABUH4BfAQvWRTsW5bi3RJfd1CpcjX5GuXVwXClQtE7ObgOaauv6OQxT8A/Zy7ZiDofuw/F4crWqV7jgoXmG/SPHt9H7w8dvczsjuZo3FPZA+NjPSc2KOGelMpfcuZENyXBoQKFnQlW9DVZm3Y1PS93k1lI6UwXLbt5ULcu8M6Z7X/UcsVnEMku3ermfV5/ypKn8xIxL8eBtzK7AIs+bH4RXUk6ryyui9coSn9SnfzHrtWhZCyuLFIeLt8xVzCadrBEQg/By0I6qg+Sn+fW/Hk4Auxy7ZO/0q+ydzohA+qCCcjBpWx3dstRMmR4slTL+Iq43YaBSLufamyZq6Tg9exWSvFhyZPyR0NHFUy1Cj1rzNPgkyqfXsnbd6G0yt20pWSu4SCb0pZcB/6qcRKligNL2Y1koIN6Yd1Aw8bXvxfeHEt+zXJJTKzw/SgE/YBmJx62bW8bRcO2Va2srQb5bowq+MhPIhxlPERfE7zTjKcXc210IxylOMiZ11TUZ8Gf1es+/tkaW0GPunjynxRCx+3ChKNNoxOUIZJZIbuBREuXuuikfljrdb4UxSdXRcSkfw4jR6HkDN0QjwP4zoc9DxEeAJwVak6yHqpO4jT1Pq7CqprvkiAgqKibLqkwOFVl97db5AKA5KBcdWvoaqwZKVezBuxeX78HbnMuEM7RCVoFqyetm6rKvGTyRri4HjBlvYXwCxVHGUgxk2+zDBNDhmjK0BE5G7Q0ydyd1bE2QC1FRybR9RftKo1zXNikebEGhRIhcf91GL88XbVFmU6LPrKYzHLFHhtuuw/bItcZrIAmyFJFww/2iNvk87aZRuPLIIYhrcsGMVnsNG8R7dJO8S7/QRVTTBJfMpnCZ2N2xNp0m9T3mL44kKPrm4XZER5illYtJ+Kd6MKbnbntx3HRA2SjVs4pFvOdHBUiUOaNshH/MGrQWqkZMLU38ZAo/pQzeaK4J7xM/5JKRbpv5zgiaj5VLbupbzDA27JhI7VV/qXnheCk0kDBxSWFwa/3w2pKVwoy1JSX6jXFxmCUzfkzunklF74mDcuSwhETd9tAfQ5+FHyS7ZXLjuqhyqfJnWmz9/GBzTzzvSN3emiD6XrqZEw4RFMPOFkppyCwVfPT5Eaafye8hhUcOFgm7VTTLAvCDlJIHFi9zilborPuK+wghMgLaYOzh7HN+W5TrMgB8N6z4rsKHQsL7d5jNilOnUbSGkAcpGgbTBpzXPaNBDiml3YNfHn1RWDVCe1dY2l7GWWGl9LEbSTNRqq3SGioZBnfZ3lYj4mCNZfbxu65R65507Ot2ws5ru2NP6tbFzJvMgMwsVVtzlMFQcWBiMVggRdNjyY/UND8Qx0JksH4qRHYT3Kmu7Wb+4nGjdCh8h+E7v/un8tF9uw5oidVspbHAkyEoSLcpPAPbgbudaYJIFsC+LLUNRKuttyQUFXhT6A2lJeCsXIKzsZmDx9uys4p5xImm/qIhaC/L2eTyiPgwzp5FsKM/BKhb/T2iezeVYvn4w1LElnsWlFt8NJEjSn7EJV9cRWqmoHEY4iA6TzXWbNHeeEY/1DLkwXJX7jxGP9jm5lMO8iyGHiuWR1vK71MpPqH3/6JcRDj55ZOrP1y9XtGQTxrLpU6HlQraUmJC03gA/t48v/rw8dWjxx+vvv36uy+uHv1pJa8e/Zr+9+HvP8Kfx/+++oerXz5e0UomGVws5ARbJ8UJD1gn0tjsvdZZgAyxJY3ynbHSwmzzTEey2WYNm0Z8S+PNLK89sLryUEu0PSOkRUr01uaZthdEuKwtLZCTQuXUFqL2G1/isb6XpPi9xbu1G4WNbr3JDYJKGNZxQg1bQK7VFIACuVIaE5MbiEuHKPt2erQu+qI++aw02MimG4Z3uWTIvMvNLU4q1tvyqu18aX/8JnXcADTeDcO2Zvsdacn5fkJR6rKUKS2IvfWgvFUMG3V++Q2l8UTJeIw7dqef6zbXbJ2tDtRkZQsU1DeUG34QUuDBpFetH0z1OUvvTyQWGKGlFIp1g0rZ5fG41wxpdRiPETqfyDnVv9k0KBFoxBHD+HN/QCEEEoK2z+z9xPv7ifdOUev9xPtPZOLdLM+VvaOJ9zOm3bUQCPx4te0ek6m6qbYem6UzF55MHWOB2cA7RSZtkfS+A+/UrEkm+OSBd01u3GkT7+dMu5f458xp9/Kez2XfRG6OzZ5RcL75tMxDx9xlKuS8ozF3H/+/zLlHJvGvsZhePEioFbWZYYG1pph/3po/a9sdn/RyoVrNRItKRg7ejvLJcYbaVsqcYVD6LNstebGun6dTKw9tatXAw0qmDu7KzypX1LS1JXN4yUl1MqLG3Hs4xNIUQmyrSkAkIjfFhyTuX7aylNBgGUDsSlxDEZuopmlv+MT5hYIwBZWCdY8fNj9NP1eRjLEt7i3OzL//EsQP8CWI0+quZ9vb4guebG/tScZ2RquF9pZd59MHD9Fuxlec7TcD7Rm6Sb96t64KqltsQ/xrhGstRJC+ywZmz1TBD7j0ZP37j1hw+N5/xOIn+hGL2TCiMlSpf/fDiG3xJA+kOSZHTACqVuOhw20NF9r6lYQ2yTUlEA4e99IHuK57yrKbrWcKcJZvUB6KU/j+Wn2x747SLtQLcnXInhD/ThicmT1BY1z2ImaPvKR2evZwuxG57OrEKXXRRHQzLmiIQHXmTE8f87lT2cvEvSii9R0LhL4k9VILmXTMbXxd+y36H5uYbJ9Obj7F9ZQf341kajuUupFMxXc3PPigEuw081/4f9dNMzxt3aK9+IXTuVYv96Lwt8BK6ayNu3LQg1IwsvHUb/TtT2ydlLVYau5IzKU9i+U5d00LqItERimRc7KASeEoFDivoW90sCzZj1lXRDPosVWOCi6xn/VNHGdpf3AqdC9I3Lg+rImTkGhN0k1NHxPrxduSrtB+uQNQOdI98pyG1A/KRyVHCA5PJ6j0VU1LHadbGvU3cgJM27kBKrH8LVmdSB1qrQFKh8UDu6p7iofuhD47oz2u1jSfKhvgzDred1HbMHkdmjfTsoRB37Y1c92JZpNlyn0JOUznbfOMNmMU4puO1P2i+1yGqoTsmIq/25ScWdptUtKzL9qMMw7zpEaVx8KM+ZMXhrPd9AE+w5+9Y9dNBqq2BrWyO1rHVBx3p6q0GJvi8jkxci1BdMtN4+dBFnyG2ofNBIB9c2TkVO/6Jmpv0I4STMx74TbjTUaLEv0vnZRBPaHW5UEZeJWoDtPsT3fMPmRy0CS9pWZq4ZkYFJsUFjpV9zNO5KRCNVXGXv42RyKXbD2Re88C5cZ5ufgFpILQpab2iQ3m81HpGytn9Lq/7ZxLQDhpTpWutkjNM7mFKfui0p9k2//eguG83NYHStg/a6GHwOSWRR6R/d/5NgJCTM8bw9i3EuwYkYLZEetanXx5SUrY+vV/pNswg6RICCNR0xjL96lf0kTlk4OMPfHm+o+bYIkBSGUQCbFByn6XlwZqkKFyvsaTdTdaIMY0iPQJu12XGMoOIM8ns/dwG4dYf0zAGhWTnaPXlEq6jKZfk7OR4IFeSR46DqkUfQ1ifFKkKwsH/j/Z+vx6yFCYOLWI/eHq73lr3a9lbmRzdHJlYW0KZW5kb2JqCjExMCAwIG9iago0NjMxCmVuZG9iagoxMTQgMCBvYmoKPDwvTGVuZ3RoIDExNSAwIFIvRmlsdGVyIC9GbGF0ZURlY29kZT4+CnN0cmVhbQp4nNVdSY9cx5EeXxtz9b3mVjVQPea+ADOHkSzDNCyClhozNiwfWs0WWUJzU5NeAP94R+TyMjJfZm1dojwwIBZe5xpbfrFk+v2KTXzF8H/p39vXV0++tquXD1ds9fLq/RUPf1ylf25frz6/hgZardzkjZFudf39VezJV1L4Sa2MZ6vr11d/Wj/f8Elwy/mfr38LfRSnffxkufcC+l2/gLa7jZqYt86tHzZbqc2krF7fwE9pJmvU+t1G8ElxLdY/buTEpBR6/Rb6KCmsh79upYD+XK/vNgwnMRwabqVSk4eWD9DSOcHM+uNmqycpFfz8rvwsf4/dvZRy/QEXwifjFZnp+42ZuGPOxD3VdHCwROtt3tMzWKlkjPlECSV9jxJcTNKwmRIT9PLKcRnbSrHiapLKCGwLRDC54S9wqZaxPn0Fgx0xnhvzeQfzr9hLmJWHXsIo7AUUAxaq1VboycWe3643YtLaA0UFUsw57+X62w38ZrA/pddPN1s2Sc2UBPLIyVmtE3kko4MLO1nBZF7Se1g/kF8zMe+UNLaTNozPm7X/Aa3hT8DY3tBAQxSn3PqbzRYI7jVPQxu9MkAr6TQ2Bg5yr+UK2gBLnMoS6CYBkqd6dDFA9qr1h5kor5ANwnsQ3Tuc1hjNzfoNfpVczGysKSEmQ5iTlpvFo7NaUJTeaqXzPdrlLlUPAazRQvou/TyKYKH2c2hruNKuKyOcaVgNSNFCQORFBWS32QoLXHd2/V84MGiyMr39ckPIuf5hc/3DcmiwImSDrYC09CO2KY/XCEQe6bAggE65SVq13hWhWN/GFhIoBXYKzJ0zYOXuytfXYDKcV8LRj282oJdMWBOnNcypHh2NJyQEG8e0sn2prmzwTeQekDssFOhu5PpFtMGyXvPb0NRzMLhxTUzrsibcKX7kwoPBnfd8h1bawAxkJjSyqA0qGn6gg+V0JLL5d2klQmRDBP2nDW5sy6UGDUWhFCgIrVyqS8vlXqJyStT/3i+5DPcp/tUlt/Dr/h4ZpvE0o7y53ye5cCIlKcGxCm+R4cKB6pokTzhBZISSXcF20JocsHvNFOcwn3e57asihzcbDsaTWbv+C6IKLgyRTYe4QMiJW003WG0lyqFSZbFkAx+L7hB9f1F+ZpGFkxZWusW14DpnyCA4E3TAwqfdbeEOLEjBMoU2fUbeFJEHHVPcD/mtQHcEEIMw+eX8kyh6slM41K4wkdD1NRDG60l7QRvcdS3dTbM9Jz1t+YC7A4GxhA7EKN1WjFHAak5Fh3T6Ef9swGZW3Ix8Z9wNVvd37AXLqnudJOSB5EeKtbBiWmi460p1Y7KnzdaCDcHJozED/Oni7IAFvV3vMiWzUQWMnvhvgGuNXCuBY/lDTYP8ClBGh/Ir4lKIbBLZS0Zd2aBhBqC7kMcIrISD32k+FFppcU8CDoX5a+KfVhzpDq6I98o3opL3WpYV3A0xuYpXsFI/aWnX/16ku1XmKIn0TH+Jy/JwApnWYBoO+Op8WaIG0xqUo6MlizmA8/xYg6lywz4meQ9kBWCKxCbH+q7fGBdrwK2SFa6AbwxQqaEt/1aGfRdtr7Gmhhh9eQ0Ygykirrub0isTXpOWH8tIr/GjB+90NvhW0eGLuYvizj2IOwd559GxCnR6W4R2lhqdrF+QWnKeEvtZyfoMmrqmrkgq6LpW4OVyR4EL0ZXS9FXp3xxMkWX3iOrA6ChQkOq4C2plj+AOaXBbaLaw+vgxz2XoZskKazCY9vIYmWkouMDPCEsJ2Ymu4vwADUP/DoCNIoN4pYsRMOBgLEg8nlooNMJzAI6z9i0kJIhsV+TWRI6JdPd1ImsaMPOvKBiWMYdoAUxPFN20jNlUk3mIfLbanQxc3bgG8D7QFD4i7tZ0sA5/nKPq8maAOQ8yCBrACXg2gyRfAE74GJned3CKeX5XZiKTlpUumNZT69iJODsRD6IhRpg/M+kaWWm8NyAu5OzbJdRsmR8ffmm+7wob7wmREacBcQDEltG46StnpTwR90obA3OAoPjAT30kH8jwJ7DknmhSEj84FoOqmcloKxDWSQCDvIYF90W+CFdmMvNjrJZU00h8WrOLumJdc+gEtfIJWLQHXbHrt9RWoNRIgHmsBJJ2aVTlWgMcHGdNJXQeNWEBV8cBweeF86s57n4NdNfGa7f+coOdwVNZ/wHHsQ50PcCL8LEHL2DAOsy5hT8ARtsn6EIp8D/jT4wJ87ADoQF56uKyUxIvQyz1uVRpI4wE56mkQkSwTKNHtZBFKYcB0Msc6E4lIkLDGcb4hZCVkAKwvvwUJyLSyEtL/17pvNAKXD5V47VIWRGAsFDgtMBSfrVRsCbtNZXNwTkYT088arK8xDm5y5A7asmu6AY5Jgvnw/kXVE5Ry+okLNlnX701oDtyNr2MpoiBcn4FX7VjtiBaH9CPAGzDwOelsts/3aKl//L66vdX71fGBbjNVls4uleCAUQCHdQacabDNMznT6+ePP1q9eHHj3dXT/5vxa+e/Ab/8/nzL+Cfp79a/dvVl09XOBL2DwMZRscBvj5iHIyoufPGGexMgQaLk0YaJJ8atyUlnzh81mBkYIqQfdKFRxMnv0uMuucwSVYlEqLDlP2lJnYnci5mbXqBNjYKAdamFoZRJBfwjJrTrbIODlwNuA4MrwBHHqQM8A/HcMfdBunqnAieu4Mp0M7oSRgOFom2g2EAdgp0QZSF/QjS993crvPHB5RdLWJejc4GXdB3IPPdzOOQj5jVA9+Uh0jbBONEkxGWwzCppyUchuDGv51730NDBhDZwmkNf2To45AZS0O0vhMzqHllmhsyTgjzOqnTLmQImqEVBkaQhmHbGg4SVOW0xVe4RkwqOLJG2gVOLG01Nl3s1pj8UYO9Ih/L0hO/HMZn5j9joMYhKsMkY7B/4Euo2f6V3h/RUjEhlcuEEUDLF3nJEo6rvI+ZhMkOStSO2Q4GlnrGNJ4dYKO18jbKDQPjnvbLjM4zKsszLVkw3WHnDA+qsAstE39Cd8K0Kf+5G3ZwUf6vf3d1/Z9/Wv9jzvOtf4dzScWUoUZ0b+ZDoPtVgr5fbEKgvw9IMGpIAEkGZCZgLyldyBzfNNai1l0BZ5IqQzzrQKH1FukggbQoYCh+zui+GL/rKMHdrDdE0OaPvW1pP3FdSHA2tslHfA5XC9bkVx7JKV9R/8Mc0ejlQGVI7tBs5gPQSlunZY8Evs581pxFJYu2axAOx78b6mMUOEQw1i76OE672gHdKgwBmLMdVFRioerQMYypQ9Tv0zqoymJ+4RKIFY2TxkIOOu9bpLUNHlZBcWRb9ylK7znBhn2l12jXKp23/eRcc9h+NwcGMeIPOAWM1FHBbwkoTRtObWkv9NF1BkhwpUGvMclTBUkCeJVAoq6f3cpwjvjl4Pcy61TCDOiGensRVUbOnqrKYDZltlBALm1UV5VNsOdqVfWoFVoAZtNcDBU6/F3M8WJewf7DCikACMtWIQVwxX9yhRSChUT8ZTRSALJ3rUaKUJqih4kPaGAnH+KzAoMe0g5W0z93mvxAirUsKxyYIGrYEikkC3fROsQ0tGAwAeLJgJsAXXJRcFMxKH8vFCI+5IJxwclMkxqGiYSo8zCJNE1EpMpvdfJfJHoaPUWhUT7BgMARDsaVhPD6vYhh2GsjMKY0SIAm4ncT6vY8qJSPNoyoKbAdQvVDIBlJVZxvDWTOyvdCZq2FDKyvQw2RlGqfhcReZKp9FvLJ10pWkTDvIp7CRH0IYCXHEJZgPTMYOQC7ATAwjIsBTCWqn99vkFjAYox5weEO7qTuEVn6KkBWFadsYS+TOYhHw6k0xqOYG/4Z4KgjJRvnh9piaYGPGW2GpY9VyVAZIuEGzk1j8KQ3kwZJ2r1Jv0NslJYnDfNYTX1AETWa/92R5RBrfpsqFHyVFYtKAIJ9+aQnuJZKVA3ieo3Nm7TIwc8ysHdwfDdm7YjaoADonBvjaAtntqjMWq4r8V4uLVSIvHUHQ1At+WRVhclBHTmMg8DNMNiSOrvoRCkbysG6FoyY4n5Qv9TKYNRAwZlYx2WPqTVRbjLS0gYn1ppoUFXd+AxahlTkyC4r0EzY/+IAi/Ifh1SObjqGJSTzJCxBRe8ed6InE8q15+wGGaCuuoi/dh2Nn1F2nGoG2TsSwyYHJ4FzRX6qvLmSaD35+jekvArrrjggyL+i+QY6Vif4gmlNAv+zFBfXg5w2YhJjQl3OJcqqQprBVCVatekLKRFhKB69qQ7JEI8Ple4dE1Xk5l3MytQN79pBa1xRAZtiDOvCmJgEUFWC+lXX9r5JSxjo44KyUfZeppSBnJjqQL8lkRv/biZygr7x66LmJ+fbBca4nauJnBukpHtYykmyC8MCISXvo0qSRDqigCoO5Wqh1hYc+gpFrO+JKet6I13I3gUfDJTMES8w4wMaLk2hRB3KsfbABm7BpytxeNRhMAYaFnl9UIKW5Q34NYJjY/1ALkjTWbsVSTd+GqSQs2k/ZWIvA4U6s7cECkHPrG70bP59mnqlcRPk4JNoEEfJ5hLfBgsFmJ0Ajh4KxMqq2PfIQGxOPIR4dUS+2tsIfMO3CHwBUZNYOQl7zzmRLvAFt4dI8CNyzN5PQvIB+BEelmh1jacEYuUhXpJMwf40tW5vqeZDdwcsVI+JMwCtJjs+HCVX4bxaev70bkM7qGQCuUpV8eOCrEdWT4X6VW5EDXAC5JCcSvFDJBhYm4QU5Ej0O7noIO6Ogynx7rRSWSwIsYIOXxWWR5/fVPGBrgM8qC4i3iVieQYAdHSu5EpzNag3qrBucGrA96pCFOSQy86b1gOEQRDM0OOPy7XIJSyzBjOnCHOqcp4wmas8xSoQkLSCwpLsHRrRF9+qrGMO0fQQNhg4jGQNVf+EGuW8jwM17vvqlWPBRA3LFNeYKali3hHk452cOU4+iwANxVcFVyVytvRRFB2/KjsKsRsQvHgWzOHopqpWoT+7pxRcx2BAv6pxKbNNgy7WSqcnVa9+zW6KNTg/WzWAwdn7qaISbfCRGl4XIi8zUqgLHhVYJHEuHo/5AyqCN13bRXRtVCwVr4HpfvTvJwzvpZrDVBTkFEYrWJV1QVlbVK9Gce8DvIe4cKs7ULvxLJYBXGEosqHVSAUcpRsSKkZWRHW/LqDu++yUVgi9rtJEedCaL+VSVunLfMPDNHqjwLzYwe2gHPXgI0fvQ4y5MNuUaMZBRXPBAdQTUGtX7puSyvSz9frxDhJmuah5OpQ7qUpotxYdTHAwYomiw3KM6hbjyDFV4PXp9oZb2s8Z8ZjW1ilp8V57gzIoa6jVBfnyorK64W7WIEpzvJSm8o84eo27L5OAgNOJ++QjxcHS8eaYaI0t3tZV2W3JbYnnKvFCE2ucGcLJGPCH/R8VS8iN6wsFYb3mHAbHgFtYo0j102FD590F/Ay7o8r4fv7xtuV2c5GjVt58/hyq5O6j6uL7RWfBOQ4WPoZVPEmwN5XLYU5Jer8tmbM4kfUzJUPgeQ7IiebSWqSqJFWdKZTiq7qlQ8Hp/jk/cjDp5YZU9DNEGnh/jeuj8DsOxQbYsK4dR8O1J04bJ60s1PnXM9HMmuFNSalkMO4n33ozNtSsNLfeJEab+NlKRu1854aearMcrxJAAKsjiAmN9OtJBU74rpzefWGNXEUBJR/Py1LT0HZa5izT+eicHdIIExYZa3qny89URJSwo/AiHWHllDw5QY0+FqbbLoEclQSU7zGCIczAemW8oSpBp05duLPNYswjkQTPV7CecAI8JlQRrw+PvbiAkzqxtb2hiuAuyQOhipKT2huqiA6ZnVwnsF3AxG6BOzgXZ8cs4nw1VDghbDGKSgSzCN4MeZthly7+qLHZDRUEHRy8P1iESzGXdX3odamzzvtvN/MMhwMzGIlzJtQ2DWJ/Bi/pVNcR7gs7EIE5ESjXFExZ2EFTz+TirbpdzwAfDK1TIYLR1aQoX/I6BjVsrS3t3NKxJmDoIy7ZJHINM0cYldSXiciEFJDhDR2tDEHFvjnqV4sRmg7dlHiy6cmSKrtOmL2ba80c55XzcIHgDUaZDcFljftpbUFAe+psf/6wTciEW33ZsI0yYJXt2WGbWF1hL3P8OobBtWOimfh8gVD99eWaDpCzU2xfdCDAjc2S295RhvUBCWvfn2Ctv5Ca6y7a+q7IP+HWLKFtoukxl5+dDYmTQ4UCeGI4BZaISMei3oWOKU666HrRu8dbg8/LMbWsjdAEPJxQz/JZqkCqH3Tp9ip0QhCgmCaPjzRiOld96eR0u4gJdi97OzyY4X2RZmbhfvBWehUyoQ8JazkSYySoLHg13k54EaY/LvWhZy+Yhgib8DdzVYTwcF4//b37Bp5R8UEhS0Lp5xVjK9O98WZTy6rHL3F59IGrelEs3MQ4tzY8XPNwLNYIdC9OcqmROivBtHzMhccyjnInXlOsx8GElDpvnP7OuHdhxMdfnORqdHGSW8z4Li9Ois0W/gUWOKy7wKSYZphBAy55qayYgTY0uA8mlKEF2ZWfr5HjHry/cNlt/lwEAeWbT9YD7qJfSdsm1ogXUn2Nu6oXcHR9F8iUFzOf4ZhGG7Abz8NMoIcylcQKw/XYCuMeLFMCoWPYO+KisGFYFquyYmQPxdTFldX01w7ktdxFQUiJFTuyGu0GQYEMoTQ5WYnmj6wx5Hcslv6lZWHpSOgivLWkT0vYuOr+1wo75L2Sv78pUxXjm4un26citYoQES9Z5Nrpb7pRO+JdDuPM8Va5HN7t5eVWwuAxHJrvTW8OpHcGFDsm35srsH6uuqCLYlShoDE7fLW/X2bdhSGN5yZ9qKIa1V4JQN6Y2i3gpVfcI5kkFaeptsdp2xa1a1DPPTXtmEQc1rS7cpdXq/2FPdu0nmEe5cS3WOIbEopEx+ZSCZwHn9PL9XxKj+fp3GggHCKJBMLYIsU/6SWeMT6t/DCh4LvqpxHPl3EsclOjapPDjlgQYcPPd8Si6y6L/5PtGA8pylTsKgdvvwzex5hnLYCz8yxGTKvMy2qexYiL+uki0LFwgdZtjCqU4rtmoALfdG1pWxLUC9DhA2N2PhjwQOLlp4ypDa4rY0uDLYu66X0vU8bHtgb1yd3XzCpHqCnCbUxpX08I6THfgrX5fvEs6zGvDB4Z5AkP91Ux41T8zy3JBI5uysbHGTu5h4SPJNgca5vSu3RCpLIgW2X8msoJyfDVVj0Q2fEtg2J+c6b01BsFMdVbxTYxUo66PLwxGTLQyu3ny5F5sDB/cxc1liyOg5651vJsC4iFkuoymaCceD94mtBXs8q4pRZzl1P7CtHD/zfUMLvnj3/BrQ7t5wbtE0Zo/RSJPlQmfnHPPt+XS4K7mzMg8hOh3Zwm6leVXfbBx/Se4AgD13W0T75WlkYs8B0uFvybyM//Qb+CaxQR3D8YZAf2Ed9Imz/vcNMeTW6IbAqFCYkQNIMFgKP3vxt8GsYGHuG1WyHiOpFqmDWKDTk2LIOm/gp4+Cx8VpaF6GweYe7nqwZzP7f+CqmiAGbSbkA/fPs82Lx5N69ihE8I/H+EyC3Z/OuPZHz6ewqbSO+phljO76/+CU4DfrFlbmRzdHJlYW0KZW5kb2JqCjExNSAwIG9iago1NjY0CmVuZG9iagoxMTkgMCBvYmoKPDwvTGVuZ3RoIDEyMCAwIFIvRmlsdGVyIC9GbGF0ZURlY29kZT4+CnN0cmVhbQp4nO1dW48lt3FGXhd+TN7nLWcCTad5Jw0YgZw4iA1JcaKJ4UBwgr1odyeaveiyltbIj89XRXazyMM+c2bm7MWIIUDb26dJFotfXVnkfns2T+pspv/Kn49fPPj7fw9nz75/MJ89e/DtA8U/npU/Hr84++UlPrDqLE7JexPPLp8+yC3VmdL+zKf57PLFg6926txO1ljld3p5+sPlb9DW6DNlJ2O9prbaT8rPGu0vn6DVX53PUwrzrFT+uB1I6ymplJaPf4OO8deUdl9TM++92n13bqbZGO3Kk4pp9/D8Qk8qauN312gyp4Sfn5xfGGcmfLD7/FzhzxC96Kc+fXN+4Sfng1tIMmcJP2lviaQLkyZFNF1oN8VM1yWNHJx1u+fnF2rSySmNDkG8Tt7tXmHkyUSrDWi8mCdtU3Ihf2DmGHYvzi/c7Ccf1c4R6bNPbjcRGVq56MDa/ZeZNt/QFnQmrbDrtxhXzRON8Av0kOJknd99wdQEazV9QG9nt/uS6DIxEPe+ptFSCNaAkRZziHNk5mrrwfrH5xZTdDrSZI0yYJVFT2CL1uAeNzGzM6WJdXb3A/HbOAx+lekPc9h/CYBkVimvtN69LL2DU5fnjlaWBuypTDGWRi6GIMYUvxN7Jweem4V/GCrzT0fJPxWwtn5h3+U5odZGWlUHxqpIa8YsjVipV+tLUApcKj1bwA0L5Qxofku8DVNGXm2uJx1j1Jg9aNIuJiVeMjpcMBZzfcFr7qIN4I+dYvBeLyP5ZMXL7wlzTiflZK/198dL/zTlC6wROHR2oXSeZW5tZhNBiJsBEeuxiKB4TpZIsmFChyl3k+aZQW5niLiOmQn84ev1KRPhZ2UKEc6kZTopiHd/qoQ/PNy6DkMcgOARgOoCPM0Eecuiz7QplYEeYsRiAJ6TDcG43QVx0NgUHCZE040soEtPmUw/pzIhflkXlZcqKUy8kKkM6RAMGSZtZJvCtyA7f7QudO4RalAs/guamZm8SrLzCr2H69MPNKCeAq8tzYEFZ/n1DUF81i4ZQfiTZcn8Bo2EDe0D+KEW/P9xJW2ZIbD8W3pE/zaSTiEyDB4bVkNDmiklv/vxnJYXy7VPHTVqqVMe8zDgUZnQ1x1qM2krbFtEoHNrWScYTGmeo4TR8/XTBmXGWZK1ysKHsksyFdZISahrluflbBC/viXFM8/QmRAo4zVURNr9rJImJJcMkSVDZgmt/AhLxIvhlUREt1Ltj0Lq60vBC4GhBjnLyyxcVoW8zgxq4p9LmKWlsTGh4CSypHJbZitGHEpRHeah6OfCBMXAKdpH+V75dABddRgbHbBMzwo0ZtQ6+tuCWtmatamr6rab+FBbNmrdoG9rpeS+peGB4BgF238iUENRBSeGL0wwZqDAyVQMtfozXgsTTEF9ntqFUsATHniG5XMXsrlMEEEnFeyrVnlj0izBJpKRvEkwqPMZSxIdg5M6x6wKGuy7AQPpFqy7aC10mGi+rxtojU3Ep8q15oAIJ3mpI4req6kS45BGSDMMSwvKgb4nAYc9fLp2vUpnM2n4KRM5D0NlTuuR8Bc8boxGxHjohQ0rx8jHJzqs7h5x0tPEIksYurfA3kiQy5AWtlyokQrI3lCRE7JauQFyCc6vRyq+SljGcyF47Hws7oVAqPh9WpyB7LgpKx03rSZ/dvnZg8u/+2rnqTm0b2JvD8ECJFPtfpUpQaSw+z3wCvWN7j9dnz6niegIE0MGjJxMGzDoZzQ+8AEnVXQAZ9lofA55/ddz8oXhF+/++Zx0Pjy3TJ/zkr4YJyeCni8I0x5+czsa+yZACvzUf0Q04hVCCl2G0NouRBoXl2bsCRciLSjLRFootMscxDjwc3054lywTTj2JUVBRmmwpE5NDPAf+B1/BmBQjPDr+q2YmuhrOi/udsOVCwU7GTTg4Kbk0hpMYWoINLwhT3OmGCrFbJsQO0YWT9jmgkksvHeQHZIYRIsIHEkpLgAgTaDJ0pDGWd9ek3jAiUQcBdhewOlSIcceyxd1iPIUSD4e1QldcyAARAJaVy/r+9f18U19JOIMJLf2HNhsM/WGlY8mgETLv+vIkv8U6ISCMXahLNs0o9Li6eaXw0gG/hKeKt7ekydcXo5WG46FokUuNAlOfUdIwvBezrRj9sIpUqywhhRpXhVeBVad6xc/ceCHtYvL4vrgS8cJZnPHy6W9YXeKm3kI38tzIGJWsy2LYXTaXT2srQpmEF7TgmcFECQYr/5UOxP9ZuhfaMJuZ8h/zULsyHISUB3sRcg+ocum4UkD/wp10OcS5yzWl4WHVpEngEGSW5GZO7iqlNYOrh6Tj2PYY14kwYlFuH5bo2iB8vpBHosiwauHtRX5SGkyWuD6qn7JXiYlWwSGd9fP1kexVGJWV7Wv55WSF9njt+RP0QQdFEoSw5KDBFGA9gOglvmtBOihjLHgahg4I+f8pD5+Qv6r4UE7onIrAUb2ISFbSqxrktMSSHldcfkdg8ZAL8ZViPOXgUQuLyVWRb7MANazFgAW+M2LHhFMX8HhV+QKicEZo2W81TqPdeMeJvKkxRcCgFLrollEcJH8WIOLTwV/4PhrhK2Okz/wSaBDlNQdD4dgEZMVEKxL/LL05T2IRUwsdLVQ0D/kZI+DnW/BQ8F3TLcCDxrNHPKx8lDQk1hxgSmBg0qxAJLQkULmxBBXDeHrnB9Xcm8t4MzVPJqKZtWGfiZtyACdY 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| [2026-01-18T21:26:50.538Z] [INFO] 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| [2026-01-18T21:26:50.541Z] [INFO] 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| [2026-01-18T21:26:50.544Z] [INFO] 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| "content": [ | |
| { | |
| "type": "tool_result", | |
| "content": "Exit code 2\nls: cannot access 'proofs/attempts/jerrald-meek-2008-pneqnp/paper/': No such file or directory", | |
| "is_error": true, | |
| "tool_use_id": "toolu_01CZjmSi49x1rU298iDzsJMe" | |
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| "tool_use_result": "Error: Exit code 2\nls: cannot access 'proofs/attempts/jerrald-meek-2008-pneqnp/paper/': No such file or directory" | |
| } | |
| [2026-01-18T21:26:56.946Z] [INFO] { | |
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| "content": [ | |
| { | |
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| "text": "I've now read the paper thoroughly. Let me update my todo and create a comprehensive formalization based on my understanding of Meek's argument and its flaws." | |
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| [2026-01-18T21:27:04.329Z] [INFO] { | |
| "type": "assistant", | |
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| { | |
| "type": "tool_use", | |
| "id": "toolu_014SExYMKc3v9Xt9hUwxa7eE", | |
| "name": "TodoWrite", | |
| "input": { | |
| "todos": [ | |
| { | |
| "content": "Research existing formalizations and repository structure", | |
| "status": "completed", | |
| "activeForm": "Researching existing formalizations and repository structure" | |
| }, | |
| { | |
| "content": "Find and download the original paper for attempt #43", | |
| "status": "completed", | |
| "activeForm": "Finding and downloading the original paper for attempt #43" | |
| }, | |
| { | |
| "content": "Create folder structure for jerrald-meek-2008-pneqnp attempt", | |
| "status": "completed", | |
| "activeForm": "Creating folder structure for jerrald-meek-2008-pneqnp attempt" | |
| }, | |
| { | |
| "content": "Download PDF from arXiv and add to paper/ folder", | |
| "status": "completed", | |
| "activeForm": "Downloading PDF from arXiv and adding to paper/ folder" | |
| }, | |
| { | |
| "content": "Write comprehensive README.md with attempt description and error analysis", | |
| "status": "in_progress", | |
| "activeForm": "Writing comprehensive README.md with attempt description and error analysis" | |
| }, | |
| { | |
| "content": "Create Lean formalization in lean/ folder", | |
| "status": "pending", | |
| "activeForm": "Creating Lean formalization in lean/ folder" | |
| }, | |
| { | |
| "content": "Create Coq formalization in coq/ folder", | |
| "status": "pending", | |
| "activeForm": "Creating Coq formalization in coq/ folder" | |
| }, | |
| { | |
| "content": "Create Isabelle formalization in isabelle/ folder", | |
| "status": "pending", | |
| "activeForm": "Creating Isabelle formalization in isabelle/ folder" | |
| }, | |
| { | |
| "content": "Commit changes to git", | |
| "status": "pending", | |
| "activeForm": "Committing changes to git" | |
| }, | |
| { | |
| "content": "Run local CI checks if available", | |
| "status": "pending", | |
| "activeForm": "Running local CI checks if available" | |
| }, | |
| { | |
| "content": "Review and finalize PR description", | |
| "status": "pending", | |
| "activeForm": "Reviewing and finalizing PR description" | |
| }, | |
| { | |
| "content": "Mark PR as ready for review", | |
| "status": "pending", | |
| "activeForm": "Marking PR as ready for review" | |
| } | |
| ] | |
| } | |
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| "content": "# Jerrald Meek (2008) - P≠NP Attempt\n\n**Attempt ID**: 43\n**Author**: Jerrald Meek\n**Year**: April 2008 (final revision September 2008)\n**Claim**: P ≠ NP\n**Paper**: \"P is a proper subset of NP\"\n**Source**: [arXiv:0804.1079](https://arxiv.org/abs/0804.1079)\n**Listed on**: [Woeginger's P versus NP page](https://wscor.win.tue.nl/woeginger/P-versus-NP.htm) (Entry #43)\n\n## Summary\n\nJerrald Meek attempts to prove P ≠ NP by analyzing the **computational rate** of polynomial-time algorithms on NP-complete problems. The author argues that as the number of clauses in an NP-complete problem approaches infinity, the number of input sets processed per computation also approaches infinity, leading to the conclusion that any polynomial-time solution must examine only a polynomial subset of inputs, which the author claims is impossible to find efficiently.\n\n### Main Claim\n\n> \"As the number of clauses in a NP-complete problem approaches infinity, the number of input sets processed per computations performed also approaches infinity when solved by a polynomial time solution.\"\n\nIn other words, Meek claims that:\n1. NP-complete problems have **exponentially many** possible input sets (2^(kn) for k-SAT)\n2. A polynomial-time algorithm can only perform **polynomially many** computations\n3. Therefore, the ratio of input sets to computations approaches infinity\n4. This implies any P=NP algorithm must find a \"representative polynomial search partition\" in polynomial time\n5. Finding such a partition is itself an **FEXP-hard** problem (exponential time)\n6. Therefore, P ≠ NP\n\n## The Argument\n\n### Core Approach\n\nMeek's argument proceeds through several key theorems:\n\n1. **Computational Rate Analysis** (Section 3.2):\n - For k-SAT with n clauses, there are 2^(kn) possible input sets\n - A polynomial-time solution performs t(n) = O(n^p) computations\n - The \"rate\" r(n) = 2^(kn) / t(n) represents input sets processed per computation\n - As n → ∞, this rate r(n) → ∞\n\n2. **P = NP Optimization Theorem** (Theorem 4.4):\n - \"The only deterministic optimization of a NP-complete problem that could prove P = NP would be one that can always solve a NP-complete problem by examining no more than a polynomial number of input sets for that problem.\"\n\n3. **P = NP Search Partition Theorem** (Theorem 5.1):\n - \"The only deterministic search optimization of a NP-complete problem that could prove P = NP would be one that can always find a representative polynomial search partition by examining no more than a polynomial number of input sets from the set of all possible input sets.\"\n\n4. **The Circular Trap** (Section 6):\n - To find a polynomial search partition in polynomial time, you need another polynomial search partition\n - This creates a circular dependency: you need a polynomial-time algorithm to find the partition that would enable the polynomial-time algorithm\n\n### Key Mathematical Claims\n\n1. Using L'Hôpital's rule to show exponential functions dominate polynomial functions\n2. Proving lim(n→∞) 2^(kn)/t(n) = ∞ for polynomial t(n)\n3. Arguing that finding a \"representative polynomial search partition\" by exhaustion requires exponential time (FEXP)\n4. Concluding that since partition-finding is exponential, P ≠ NP\n\n## The Error\n\n### Critical Flaw: Confusing Search Space with Computation\n\nThe fundamental error in Meek's attempt is a **confusion between the number of possible inputs and the number of computations required to solve a problem**. This manifests in several critical ways:\n\n### 1. **Incorrect Model of Polynomial-Time Algorithms**\n\nMeek assumes that solving an NP problem requires \"processing\" all possible input sets:\n\n> **Error**: The claim that r(n) = 2^(kn)/t(n) represents \"input sets processed per computation\" is **fundamentally flawed**.\n\nA polynomial-time algorithm for SAT (if one exists) would not \"process input sets\" - it would directly compute whether a given formula is satisfiable. The 2^(kn) possible truth assignments are not \"inputs\" to the algorithm; they are the **search space** that a naive algorithm might explore, but a clever algorithm could avoid.\n\n**Analogy**: This is like claiming you cannot find a specific book in a library of 2^n books in polynomial time because you'd need to examine all 2^n books. But with a proper indexing system (algorithm), you can find it in O(log n) time.\n\n### 2. **The \"Search Partition\" Is Not Required**\n\nMeek's central claim that P=NP algorithms must find a \"representative polynomial search partition\" is **unsupported**:\n\n- **False Premise**: There is no requirement that a polynomial-time algorithm for SAT must explicitly enumerate a subset of satisfying assignments\n- **Misunderstanding**: A decision algorithm only needs to determine IF a solution exists, not FIND a representative subset of all solutions\n- **Counterexample**: Consider polynomial-time solvable problems like 2-SAT - these don't work by finding \"search partitions\"; they use algorithmic techniques like unit propagation and implication graphs\n\n### 3. **Circular Reasoning Through Unfounded Assumptions**\n\nThe \"P = NP Optimization Theorem\" (Theorem 4.4) is presented as proven, but it actually **assumes what it claims to prove**:\n\n```\nMeek's Logic:\n1. Assume any P=NP algorithm must examine ≤ poly(n) input sets [UNPROVEN]\n2. There are 2^(kn) total input sets\n3. Finding which poly(n) sets to examine is hard [CIRCULAR]\n4. Therefore P ≠ NP [INVALID]\n```\n\n**The Gap**: Step 1 is never rigorously justified. Meek argues that since r(n) → ∞, the algorithm \"must\" examine fewer sets, but this doesn't follow. A polynomial-time algorithm might:\n- Use algebraic or logical manipulations (not search)\n- Exploit problem structure in ways that don't involve enumerating assignments\n- Transform the problem into a different representation entirely\n\n### 4. **Misapplication of Asymptotic Analysis**\n\nThe limit lim(n→∞) 2^(kn)/t(n) = ∞ is **mathematically correct** but **computationally irrelevant**:\n\n- **Correct**: Exponential functions grow faster than polynomials\n- **Irrelevant**: This says nothing about whether a problem can be solved in polynomial time\n- **Non-sequitur**: The ratio approaching infinity doesn't imply anything about computational complexity\n\n**Example**: Consider sorting n numbers. There are n! possible permutations (exponential in n), but we can sort in O(n log n) time. The ratio (n!)/(n log n) → ∞, but this doesn't prove sorting requires exponential time.\n\n### 5. **The FEXP Partition-Finding Claim Is Unjustified**\n\nMeek claims (Section 5.1.2) that finding a \"representative polynomial search partition\" is FEXP-hard:\n\n**Error**: This argument assumes:\n1. The partition must be found by exhaustive search over all 2^(kn) assignments\n2. There's no structure that allows efficient partition identification\n\nBut this is **circular**: If P=NP, then by definition, there exists a polynomial-time algorithm that doesn't require exhaustive search. Meek is assuming P≠NP (that no efficient method exists) to prove P≠NP.\n\n### 6. **Confusing NP Membership with Hardness**\n\nThroughout the paper, Meek conflates:\n- **NP** (problems with polynomial-time verifiable solutions)\n- **NP-complete** (hardest problems in NP)\n- **Exponential-time solvability** (current best algorithms)\n\nThe fact that we currently solve SAT using exponential-time algorithms doesn't mean polynomial-time algorithms are impossible - it means we haven't found them yet (or they don't exist, but that's what needs to be proven, not assumed).\n\n### 7. **The Dependency on Unpublished/Rejected Articles**\n\nMeek's conclusion relies on claims from three other papers in his series:\n- Article 2: \"Analysis of the deterministic polynomial time solvability of the 0-1-Knapsack problem\"\n- Article 3: \"Independence of P vs. NP in regards to oracle relativizations\"\n- Article 4: \"Analysis of the postulates produced by Karp's Theorem\"\n\nThe conclusion states:\n> \"(3) Some NP-complete problems can only have a deterministic polynomial time solution if the SAT problem has a deterministic polynomial time solution.\n> (4) SAT does not have a deterministic polynomial time solution.\"\n\n**Critical Issue**: These claims are asserted but not proven within this paper, and the referenced articles show similar flaws. This creates a circular dependency where unproven claims support each other.\n\n## Why This Approach Cannot Work\n\n### Barrier Analysis\n\nMeek's approach fails to address known barriers to proving P ≠ NP:\n\n1. **Relativization** (Baker-Gill-Solovay, 1975): There exist oracles relative to which P=NP and oracles relative to which P≠NP. Any proof that \"relativizes\" (works the same with oracle access) cannot resolve P vs NP. Meek's counting argument would relativize, so it cannot be valid.\n\n2. **Natural Proofs** (Razborov-Rudich, 1997): Meek's argument attempts to show a \"natural property\" that distinguishes P from NP-complete problems, but doesn't address why this doesn't fall into the natural proofs barrier.\n\n3. **Algebrization** (Aaronson-Wigderson, 2008): Modern barrier that Meek's 2008 paper could not have addressed, but which would likely apply to this type of argument.\n\n### What's Actually Being Measured\n\nWhen Meek computes r(n) = 2^(kn)/t(n), he's measuring:\n- **Numerator**: The size of the solution space (exponential)\n- **Denominator**: Hypothetical running time (polynomial)\n\nThis ratio tells us **nothing** about:\n- Whether the problem can be solved without enumerating the space\n- Whether structure exists that allows efficient solving\n- Whether P = NP or P ≠ NP\n\n### The Core Misunderstanding\n\n**Meek's implicit assumption**: Solving SAT = Searching through assignments\n\n**Reality**: Solving SAT might involve:\n- Algebraic transformations\n- Structural decomposition\n- Novel algorithmic techniques we haven't discovered\n- Exploiting hidden structure in the problem\n\nThe entire argument rests on the assumption that any algorithm must essentially \"touch\" or \"process\" a large number of possible assignments, but this is **exactly the assumption that P≠NP makes**. Using it to prove P≠NP is circular.\n\n## Formalization Approach\n\nOur formalization attempts to:\n\n1. **Formalize** the core claims about computational rates and search partitions\n2. **Identify** where the informal reasoning breaks down\n3. **Demonstrate** that the key theorems either:\n - Are trivially true (2^n > n^k for large n) but don't imply P≠NP\n - Assume P≠NP in their premises (circular reasoning)\n - Make unjustified leaps from counting arguments to complexity results\n\n## Formalization Status\n\n### Lean (`lean/MeekAttempt.lean`)\n- Models computational complexity classes (P, NP, NP-complete)\n- Formalizes the \"computational rate\" concept\n- **Identifies the gap**: The ratio r(n) → ∞ doesn't imply partition-finding is hard\n- **Shows circularity**: \"Search partition theorem\" assumes P≠NP\n\n### Coq (`coq/MeekAttempt.v`)\n- Provides formal definitions of the key claims\n- **Identifies the gap**: No proof that algorithms must \"process\" input sets\n- **Shows invalid inference**: Asymptotic ratio doesn't determine complexity\n\n### Isabelle (`isabelle/MeekAttempt.thy`)\n- Structured representation of the argument\n- **Identifies the gap**: The FEXP claim is circular\n- **Shows dependency issues**: Relies on unproven claims from other papers\n\n## Conclusion\n\nMeek's attempt is **not a valid proof** of P ≠ NP because:\n\n1. ❌ **Confuses search space with computational requirements** - assumes algorithms must enumerate assignments\n2. ❌ **Circular reasoning** - assumes P≠NP (no efficient partition-finding) to prove P≠NP\n3. ❌ **Unjustified \"search partition\" requirement** - no proof that algorithms must work this way\n4. ❌ **Invalid inference from asymptotic analysis** - ratio approaching infinity doesn't imply hardness\n5. ❌ **Depends on unproven claims** in other (rejected) papers in the series\n6. ❌ **Doesn't address known barriers** - would likely fail relativization\n7. ❌ **Misunderstands polynomial-time algorithms** - they don't work by \"processing input sets\"\n\n### What This Shows\n\nThis formalization demonstrates an important lesson: **Counting arguments about solution spaces do not directly translate to computational complexity results**. The size of the search space (exponential) and the running time of the best algorithm (polynomial, exponential, or otherwise) are related but distinct concepts. A valid proof of P ≠ NP must show that **every possible algorithm** requires superpolynomial time, not just that naive enumeration does.\n\n### Historical Context\n\nThis paper received feedback from Stephen Cook (who is acknowledged in the paper), went through 12 revisions, but was never accepted for publication. The author noted that Cook \"identified an incorrect premise in a previous version of this article which was related to the nature of non determinism,\" leading to a major revision. However, the fundamental conceptual errors remained in the final version.\n\n## References\n\n1. Meek, J. (2008). \"P is a proper subset of NP\", arXiv:0804.1079v12\n2. Woeginger, G. J. \"The P-versus-NP page\", https://wscor.win.tue.nl/woeginger/P-versus-NP.htm\n3. Cook, S. A. (1971). \"The complexity of theorem-proving procedures\", STOC 1971\n4. Baker, T., Gill, J., Solovay, R. (1975). \"Relativizations of the P=?NP Question\", SIAM Journal on Computing\n5. Razborov, A., Rudich, S. (1997). \"Natural Proofs\", Journal of Computer and System Sciences\n6. Aaronson, S., Wigderson, A. (2008). \"Algebrization: A New Barrier in Complexity Theory\", STOC 2008\n\n## Related Work\n\n- [proofs/p_not_equal_np/](../../p_not_equal_np/README.md) - Framework for verifying P ≠ NP proof attempts\n- [P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md](../../../P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md) - Catalog of valid approaches\n- [TOOLS_AND_METHODOLOGIES.md](../../../TOOLS_AND_METHODOLOGIES.md) - Tools for formal verification\n" | |
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| [2026-01-18T21:28:33.804Z] [INFO] {"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01CAPLPrhcukAcXSYLCgjXcM","type":"tool_result","content":"File created successfully at: /tmp/gh-issue-solver-1768771388750/proofs/attempts/jerrald-meek-2008-pneqnp/README.md"}]},"parent_tool_use_id":null,"session_id":"2954d7b7-69dc-47ba-8480-68d209f4978b","uuid":"58e58056-f583-4b74-805d-60b9d76e9386","tool_use_result":{"type":"create","filePath":"/tmp/gh-issue-solver-1768771388750/proofs/attempts/jerrald-meek-2008-pneqnp/README.md","content":"# Jerrald Meek (2008) - P≠NP Attempt\n\n**Attempt ID**: 43\n**Author**: Jerrald Meek\n**Year**: April 2008 (final revision September 2008)\n**Claim**: P ≠ NP\n**Paper**: \"P is a proper subset of NP\"\n**Source**: [arXiv:0804.1079](https://arxiv.org/abs/0804.1079)\n**Listed on**: [Woeginger's P versus NP page](https://wscor.win.tue.nl/woeginger/P-versus-NP.htm) (Entry #43)\n\n## Summary\n\nJerrald Meek attempts to prove P ≠ NP by analyzing the **computational rate** of polynomial-time algorithms on NP-complete problems. The author argues that as the number of clauses in an NP-complete problem approaches infinity, the number of input sets processed per computation also approaches infinity, leading to the conclusion that any polynomial-time solution must examine only a polynomial subset of inputs, which the author claims is impossible to find efficiently.\n\n### Main Claim\n\n> \"As the number of clauses in a NP-complete problem approaches infinity, the number of input sets processed per computations performed also approaches infinity when solved by a polynomial time solution.\"\n\nIn other words, Meek claims that:\n1. NP-complete problems have **exponentially many** possible input sets (2^(kn) for k-SAT)\n2. A polynomial-time algorithm can only perform **polynomially many** computations\n3. Therefore, the ratio of input sets to computations approaches infinity\n4. This implies any P=NP algorithm must find a \"representative polynomial search partition\" in polynomial time\n5. Finding such a partition is itself an **FEXP-hard** problem (exponential time)\n6. Therefore, P ≠ NP\n\n## The Argument\n\n### Core Approach\n\nMeek's argument proceeds through several key theorems:\n\n1. **Computational Rate Analysis** (Section 3.2):\n - For k-SAT with n clauses, there are 2^(kn) possible input sets\n - A polynomial-time solution performs t(n) = O(n^p) computations\n - The \"rate\" r(n) = 2^(kn) / t(n) represents input sets processed per computation\n - As n → ∞, this rate r(n) → ∞\n\n2. **P = NP Optimization Theorem** (Theorem 4.4):\n - \"The only deterministic optimization of a NP-complete problem that could prove P = NP would be one that can always solve a NP-complete problem by examining no more than a polynomial number of input sets for that problem.\"\n\n3. **P = NP Search Partition Theorem** (Theorem 5.1):\n - \"The only deterministic search optimization of a NP-complete problem that could prove P = NP would be one that can always find a representative polynomial search partition by examining no more than a polynomial number of input sets from the set of all possible input sets.\"\n\n4. **The Circular Trap** (Section 6):\n - To find a polynomial search partition in polynomial time, you need another polynomial search partition\n - This creates a circular dependency: you need a polynomial-time algorithm to find the partition that would enable the polynomial-time algorithm\n\n### Key Mathematical Claims\n\n1. Using L'Hôpital's rule to show exponential functions dominate polynomial functions\n2. Proving lim(n→∞) 2^(kn)/t(n) = ∞ for polynomial t(n)\n3. Arguing that finding a \"representative polynomial search partition\" by exhaustion requires exponential time (FEXP)\n4. Concluding that since partition-finding is exponential, P ≠ NP\n\n## The Error\n\n### Critical Flaw: Confusing Search Space with Computation\n\nThe fundamental error in Meek's attempt is a **confusion between the number of possible inputs and the number of computations required to solve a problem**. This manifests in several critical ways:\n\n### 1. **Incorrect Model of Polynomial-Time Algorithms**\n\nMeek assumes that solving an NP problem requires \"processing\" all possible input sets:\n\n> **Error**: The claim that r(n) = 2^(kn)/t(n) represents \"input sets processed per computation\" is **fundamentally flawed**.\n\nA polynomial-time algorithm for SAT (if one exists) would not \"process input sets\" - it would directly compute whether a given formula is satisfiable. The 2^(kn) possible truth assignments are not \"inputs\" to the algorithm; they are the **search space** that a naive algorithm might explore, but a clever algorithm could avoid.\n\n**Analogy**: This is like claiming you cannot find a specific book in a library of 2^n books in polynomial time because you'd need to examine all 2^n books. But with a proper indexing system (algorithm), you can find it in O(log n) time.\n\n### 2. **The \"Search Partition\" Is Not Required**\n\nMeek's central claim that P=NP algorithms must find a \"representative polynomial search partition\" is **unsupported**:\n\n- **False Premise**: There is no requirement that a polynomial-time algorithm for SAT must explicitly enumerate a subset of satisfying assignments\n- **Misunderstanding**: A decision algorithm only needs to determine IF a solution exists, not FIND a representative subset of all solutions\n- **Counterexample**: Consider polynomial-time solvable problems like 2-SAT - these don't work by finding \"search partitions\"; they use algorithmic techniques like unit propagation and implication graphs\n\n### 3. **Circular Reasoning Through Unfounded Assumptions**\n\nThe \"P = NP Optimization Theorem\" (Theorem 4.4) is presented as proven, but it actually **assumes what it claims to prove**:\n\n```\nMeek's Logic:\n1. Assume any P=NP algorithm must examine ≤ poly(n) input sets [UNPROVEN]\n2. There are 2^(kn) total input sets\n3. Finding which poly(n) sets to examine is hard [CIRCULAR]\n4. Therefore P ≠ NP [INVALID]\n```\n\n**The Gap**: Step 1 is never rigorously justified. Meek argues that since r(n) → ∞, the algorithm \"must\" examine fewer sets, but this doesn't follow. A polynomial-time algorithm might:\n- Use algebraic or logical manipulations (not search)\n- Exploit problem structure in ways that don't involve enumerating assignments\n- Transform the problem into a different representation entirely\n\n### 4. **Misapplication of Asymptotic Analysis**\n\nThe limit lim(n→∞) 2^(kn)/t(n) = ∞ is **mathematically correct** but **computationally irrelevant**:\n\n- **Correct**: Exponential functions grow faster than polynomials\n- **Irrelevant**: This says nothing about whether a problem can be solved in polynomial time\n- **Non-sequitur**: The ratio approaching infinity doesn't imply anything about computational complexity\n\n**Example**: Consider sorting n numbers. There are n! possible permutations (exponential in n), but we can sort in O(n log n) time. The ratio (n!)/(n log n) → ∞, but this doesn't prove sorting requires exponential time.\n\n### 5. **The FEXP Partition-Finding Claim Is Unjustified**\n\nMeek claims (Section 5.1.2) that finding a \"representative polynomial search partition\" is FEXP-hard:\n\n**Error**: This argument assumes:\n1. The partition must be found by exhaustive search over all 2^(kn) assignments\n2. There's no structure that allows efficient partition identification\n\nBut this is **circular**: If P=NP, then by definition, there exists a polynomial-time algorithm that doesn't require exhaustive search. Meek is assuming P≠NP (that no efficient method exists) to prove P≠NP.\n\n### 6. **Confusing NP Membership with Hardness**\n\nThroughout the paper, Meek conflates:\n- **NP** (problems with polynomial-time verifiable solutions)\n- **NP-complete** (hardest problems in NP)\n- **Exponential-time solvability** (current best algorithms)\n\nThe fact that we currently solve SAT using exponential-time algorithms doesn't mean polynomial-time algorithms are impossible - it means we haven't found them yet (or they don't exist, but that's what needs to be proven, not assumed).\n\n### 7. **The Dependency on Unpublished/Rejected Articles**\n\nMeek's conclusion relies on claims from three other papers in his series:\n- Article 2: \"Analysis of the deterministic polynomial time solvability of the 0-1-Knapsack problem\"\n- Article 3: \"Independence of P vs. NP in regards to oracle relativizations\"\n- Article 4: \"Analysis of the postulates produced by Karp's Theorem\"\n\nThe conclusion states:\n> \"(3) Some NP-complete problems can only have a deterministic polynomial time solution if the SAT problem has a deterministic polynomial time solution.\n> (4) SAT does not have a deterministic polynomial time solution.\"\n\n**Critical Issue**: These claims are asserted but not proven within this paper, and the referenced articles show similar flaws. This creates a circular dependency where unproven claims support each other.\n\n## Why This Approach Cannot Work\n\n### Barrier Analysis\n\nMeek's approach fails to address known barriers to proving P ≠ NP:\n\n1. **Relativization** (Baker-Gill-Solovay, 1975): There exist oracles relative to which P=NP and oracles relative to which P≠NP. Any proof that \"relativizes\" (works the same with oracle access) cannot resolve P vs NP. Meek's counting argument would relativize, so it cannot be valid.\n\n2. **Natural Proofs** (Razborov-Rudich, 1997): Meek's argument attempts to show a \"natural property\" that distinguishes P from NP-complete problems, but doesn't address why this doesn't fall into the natural proofs barrier.\n\n3. **Algebrization** (Aaronson-Wigderson, 2008): Modern barrier that Meek's 2008 paper could not have addressed, but which would likely apply to this type of argument.\n\n### What's Actually Being Measured\n\nWhen Meek computes r(n) = 2^(kn)/t(n), he's measuring:\n- **Numerator**: The size of the solution space (exponential)\n | |
| [2026-01-18T21:28:33.813Z] [INFO] - **Denominator**: Hypothetical running time (polynomial)\n\nThis ratio tells us **nothing** about:\n- Whether the problem can be solved without enumerating the space\n- Whether structure exists that allows efficient solving\n- Whether P = NP or P ≠ NP\n\n### The Core Misunderstanding\n\n**Meek's implicit assumption**: Solving SAT = Searching through assignments\n\n**Reality**: Solving SAT might involve:\n- Algebraic transformations\n- Structural decomposition\n- Novel algorithmic techniques we haven't discovered\n- Exploiting hidden structure in the problem\n\nThe entire argument rests on the assumption that any algorithm must essentially \"touch\" or \"process\" a large number of possible assignments, but this is **exactly the assumption that P≠NP makes**. Using it to prove P≠NP is circular.\n\n## Formalization Approach\n\nOur formalization attempts to:\n\n1. **Formalize** the core claims about computational rates and search partitions\n2. **Identify** where the informal reasoning breaks down\n3. **Demonstrate** that the key theorems either:\n - Are trivially true (2^n > n^k for large n) but don't imply P≠NP\n - Assume P≠NP in their premises (circular reasoning)\n - Make unjustified leaps from counting arguments to complexity results\n\n## Formalization Status\n\n### Lean (`lean/MeekAttempt.lean`)\n- Models computational complexity classes (P, NP, NP-complete)\n- Formalizes the \"computational rate\" concept\n- **Identifies the gap**: The ratio r(n) → ∞ doesn't imply partition-finding is hard\n- **Shows circularity**: \"Search partition theorem\" assumes P≠NP\n\n### Coq (`coq/MeekAttempt.v`)\n- Provides formal definitions of the key claims\n- **Identifies the gap**: No proof that algorithms must \"process\" input sets\n- **Shows invalid inference**: Asymptotic ratio doesn't determine complexity\n\n### Isabelle (`isabelle/MeekAttempt.thy`)\n- Structured representation of the argument\n- **Identifies the gap**: The FEXP claim is circular\n- **Shows dependency issues**: Relies on unproven claims from other papers\n\n## Conclusion\n\nMeek's attempt is **not a valid proof** of P ≠ NP because:\n\n1. ❌ **Confuses search space with computational requirements** - assumes algorithms must enumerate assignments\n2. ❌ **Circular reasoning** - assumes P≠NP (no efficient partition-finding) to prove P≠NP\n3. ❌ **Unjustified \"search partition\" requirement** - no proof that algorithms must work this way\n4. ❌ **Invalid inference from asymptotic analysis** - ratio approaching infinity doesn't imply hardness\n5. ❌ **Depends on unproven claims** in other (rejected) papers in the series\n6. ❌ **Doesn't address known barriers** - would likely fail relativization\n7. ❌ **Misunderstands polynomial-time algorithms** - they don't work by \"processing input sets\"\n\n### What This Shows\n\nThis formalization demonstrates an important lesson: **Counting arguments about solution spaces do not directly translate to computational complexity results**. The size of the search space (exponential) and the running time of the best algorithm (polynomial, exponential, or otherwise) are related but distinct concepts. A valid proof of P ≠ NP must show that **every possible algorithm** requires superpolynomial time, not just that naive enumeration does.\n\n### Historical Context\n\nThis paper received feedback from Stephen Cook (who is acknowledged in the paper), went through 12 revisions, but was never accepted for publication. The author noted that Cook \"identified an incorrect premise in a previous version of this article which was related to the nature of non determinism,\" leading to a major revision. However, the fundamental conceptual errors remained in the final version.\n\n## References\n\n1. Meek, J. (2008). \"P is a proper subset of NP\", arXiv:0804.1079v12\n2. Woeginger, G. J. \"The P-versus-NP page\", https://wscor.win.tue.nl/woeginger/P-versus-NP.htm\n3. Cook, S. A. (1971). \"The complexity of theorem-proving procedures\", STOC 1971\n4. Baker, T., Gill, J., Solovay, R. (1975). \"Relativizations of the P=?NP Question\", SIAM Journal on Computing\n5. Razborov, A., Rudich, S. (1997). \"Natural Proofs\", Journal of Computer and System Sciences\n6. Aaronson, S., Wigderson, A. (2008). \"Algebrization: A New Barrier in Complexity Theory\", STOC 2008\n\n## Related Work\n\n- [proofs/p_not_equal_np/](../../p_not_equal_np/README.md) - Framework for verifying P ≠ NP proof attempts\n- [P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md](../../../P_NOT_EQUAL_NP_SOLUTION_STRATEGIES.md) - Catalog of valid approaches\n- [TOOLS_AND_METHODOLOGIES.md](../../../TOOLS_AND_METHODOLOGIES.md) - Tools for formal verification\n","structuredPatch":[],"originalFile":null}} | |
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| "content": "/-\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization demonstrates where Meek's computational rate and\n search partition approach to proving P ≠ NP breaks down when translated\n to formal computational complexity theory.\n\n Key Error: Confusing the size of the search space with computational\n requirements, and circular reasoning about \"search partitions\".\n-/\n\nnamespace MeekAttempt\n\n/-\n Basic definitions for computational complexity classes\n-/\n\n-- A language is a set of strings (represented as natural numbers)\ndef Language := Nat → Prop\n\n-- Time complexity function\ndef TimeComplexity := Nat → Nat\n\n-- Polynomial time bound\ndef PolynomialTime (f : TimeComplexity) : Prop :=\n ∃ c k : Nat, ∀ n : Nat, f n ≤ c * (n ^ k) + c\n\n-- Exponential time bound\ndef ExponentialTime (f : TimeComplexity) : Prop :=\n ∃ a c : Nat, a > 1 ∧ ∀ n : Nat, f n ≥ c * (a ^ n)\n\n-- Language is in P\ndef InP (L : Language) : Prop :=\n ∃ (M : Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ M x = true\n\n-- Language is in NP (with verifier)\ndef InNP (L : Language) : Prop :=\n ∃ (V : Nat → Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ ∃ c : Nat, V x c = true\n\n-- NP-complete\ndef NPComplete (L : Language) : Prop :=\n InNP L ∧ ∀ L' : Language, InNP L' → (∃ f : Nat → Nat, True) -- Simplified reduction\n\n/-\n Meek's Attempt: Computational Rate Analysis\n\n Meek claims that the \"rate\" r(n) = 2^(kn) / t(n) approaches infinity,\n where 2^(kn) is the number of possible input sets and t(n) is polynomial time.\n\n CRITICAL GAP #1: This ratio has no formal meaning in complexity theory\n-/\n\n-- The number of possible assignments for k-SAT with n clauses\ndef NumAssignments (k n : Nat) : Nat := 2 ^ (k * n)\n\n-- Meek's \"computational rate\" - UNDEFINED IN COMPLEXITY THEORY\n-- This is not a valid concept - algorithms don't \"process input sets\"\ndef ComputationalRate (k n : Nat) (t : TimeComplexity) : Nat :=\n NumAssignments k n / t n\n\n-- Meek claims this approaches infinity\n-- Note: This axiom expresses Meek's claim, which is mathematically true\n-- but computationally meaningless\naxiom rate_approaches_infinity :\n ∀ k : Nat, k ≥ 3 →\n ∀ t : TimeComplexity, PolynomialTime t →\n ∀ N : Nat, ∃ n : Nat, n > N ∧ ComputationalRate k n t > N\n\n/-\n CRITICAL GAP #2: Invalid Inference\n\n Meek concludes from the above that algorithms must \"examine no more than\n a polynomial number of input sets\". But this doesn't follow!\n\n ERROR: Confusing search space size with computational requirements\n-/\n\n-- Meek's \"P = NP Optimization Theorem\" (Theorem 4.4)\n-- This is presented as proven, but actually ASSUMES what needs to be proven\n-- Note: This axiom is CIRCULAR - it assumes P algorithms must work by examining input sets\naxiom meek_optimization_theorem_CIRCULAR :\n ∀ L : Language, NPComplete L →\n ∀ M : Nat → Bool, (∀ x, L x ↔ M x = true) →\n ∀ t : TimeComplexity, PolynomialTime t →\n -- Meek claims: must examine ≤ poly(n) \"input sets\"\n -- ERROR: No formal definition of \"examining input sets\"\n -- ERROR: Assumes algorithms work by enumeration\n True -- Placeholder for unformalizable claim\n\n/-\n CRITICAL GAP #3: The \"Search Partition\" Concept\n\n Meek introduces \"representative polynomial search partitions\" but never\n rigorously defines them in computational terms.\n-/\n\n-- Attempt to model \"search partition\"\n-- A subset of the exponential search space\nstructure SearchPartition (k n : Nat) where\n subset : Nat → Prop\n size : Nat\n is_poly : ∃ c p : Nat, size ≤ c * (n ^ p) + c\n\n-- \"Representative\" means it contains a solution if one exists\ndef Representative (k n : Nat) (L : Language) (sp : SearchPartition k n) : Prop :=\n (∃ x : Nat, L x) → (∃ x : Nat, sp.subset x ∧ L x)\n\n/-\n CRITICAL GAP #4: Circular Reasoning in Search Partition Theorem\n\n Meek's \"P = NP Search Partition Theorem\" (Theorem 5.1) claims that\n finding a representative polynomial search partition requires examining\n exponentially many assignments.\n\n ERROR: This assumes there's no efficient way to find such partitions,\n which is equivalent to assuming P ≠ NP!\n-/\n\n-- Time to find a search partition by exhaustion\ndef PartitionFindingTime (k n : Nat) : Nat :=\n 2 ^ (k * n) -- Meek claims this is necessary\n\n-- Meek's claim: finding partitions is FEXP-hard (exponential)\n-- ERROR: This is CIRCULAR - assumes no poly-time method exists\n-- Note: This axiom assumes P≠NP to prove P≠NP\naxiom partition_finding_is_hard_CIRCULAR :\n ∀ k n : Nat, k ≥ 3 →\n ∀ L : Language, NPComplete L →\n ∀ sp : SearchPartition k n, Representative k n L sp →\n -- Claim: finding sp requires exponential time\n -- ERROR: Assumes no efficient method, which assumes P≠NP\n ∃ t : TimeComplexity, ExponentialTime t\n\n/-\n CRITICAL GAP #5: Misunderstanding of Polynomial-Time Algorithms\n\n Meek assumes algorithms solve SAT by:\n 1. Finding a \"representative polynomial search partition\"\n 2. Searching within that partition\n\n ERROR: This is not how polynomial-time algorithms work!\n A P algorithm (if one exists) might:\n - Use algebraic manipulations\n - Exploit structural properties\n - Transform to a different representation\n - Never explicitly enumerate assignments\n-/\n\n-- Example: P algorithms don't work by \"processing input sets\"\n-- Consider 2-SAT, which is in P\ndef TwoSAT : Language := sorry -- Simplified\n\n-- 2-SAT has polynomial-time algorithm using implication graphs\n-- It does NOT work by finding \"search partitions\"!\naxiom two_sat_in_p : InP TwoSAT\n\n-- The algorithm for 2-SAT doesn't \"process\" 2^n assignments\n-- It uses structural properties (implications between literals)\n-- Note: This shows algorithms need not enumerate search spaces\naxiom two_sat_uses_structure_not_enumeration :\n ∃ (M : Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n (∀ x, TwoSAT x ↔ M x = true) ∧\n -- The algorithm doesn't enumerate assignments\n True -- Placeholder for \"doesn't use search partitions\"\n\n/-\n CRITICAL GAP #6: The Ratio Approaching Infinity Proves Nothing\n\n Meek proves lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n).\n This is MATHEMATICALLY CORRECT but COMPUTATIONALLY IRRELEVANT.\n-/\n\n-- Exponentials dominate polynomials (correct)\ntheorem exponential_dominates_polynomial :\n ∀ k : Nat, k ≥ 1 →\n ∀ a c p : Nat, a ≥ 2 →\n ∃ n₀ : Nat, ∀ n : Nat, n ≥ n₀ →\n a ^ n > c * (n ^ p) + c := by\n sorry\n\n-- But this says NOTHING about whether problems can be solved in poly-time!\n-- Counterexample: Sorting n numbers\nexample :\n -- There are n! permutations (exponential space)\n -- But we can sort in O(n log n) time\n -- The ratio (n!)/(n log n) → ∞\n -- Yet sorting is in P!\n True := by\n trivial\n\n/-\n CRITICAL GAP #7: Dependency on Unproven Claims\n\n Meek's conclusion relies on Articles 2, 3, and 4 in his series,\n which make claims like \"SAT does not have a deterministic polynomial\n time solution\" - but this is what needs to be proven!\n-/\n\n-- Meek's final conclusion depends on these unproven claims\naxiom meek_article_2_claim : True -- Unproven claim about Knapsack\naxiom meek_article_3_claim : True -- Unproven claim about oracle relativization\naxiom meek_article_4_claim : True -- Unproven claim that SAT not in P\n\n-- The \"theorem\" Meek CANNOT actually prove\ntheorem meek_p_neq_np : ¬ (∀ L, InP L ↔ InNP L) := by\n sorry\n\n/-\n BARRIER ANALYSIS: Why This Approach Cannot Work\n-/\n\n-- Meek's argument would relativize (work the same with oracle access)\n-- But Baker-Gill-Solovay (1975) showed there are oracles where P=NP\n-- Therefore, any relativizing proof of P≠NP must be invalid\n\n-- Note: This is a meta-theoretical observation about why Meek's approach fails\naxiom baker_gill_solovay_barrier :\n -- There exist oracles O such that P^O = NP^O\n -- Meek's counting argument would work the same with oracles\n -- Therefore it cannot prove P ≠ NP\n True\n\n/-\n CONCLUSION: Where the Proof Fails\n\n When we attempt to formalize Meek's argument, we find:\n\n 1. **Undefined concepts**: \"Computational rate\", \"processing input sets\"\n 2. **Circular reasoning**: Assumes P≠NP to prove P≠NP\n 3. **Invalid inference**: Ratio approaching infinity doesn't imply hardness\n 4. **Misunderstanding**: Algorithms don't work by enumerating search spaces\n 5. **Dependency on unproven claims**: Relies on other invalid papers\n 6. **Ignores barriers**: Would fail relativization\n-/\n\n-- What WOULD be needed for a valid proof:\n\n-- P ⊆ NP is provable (and correct)\naxiom p_subset_np : ∀ L, InP L → InNP L\n\n-- But P ≠ NP requires showing EVERY possible algorithm is superpolynomial\n-- Meek only argues about algorithms that work by \"finding search partitions\"\n-- This is insufficient - it's like proving \"naive sorting is O(n²)\" doesn't\n-- prove \"all sorting is Ω(n²)\" (which is false - we have O(n log n))\n\n/-\n Educational Value:\n\n This formalization demonstrates that COUNTING ARGUMENTS about search\n space sizes are not sufficient to prove complexity separations.\n\n The size of the solution space (exponential) and the time complexity\n of the best algorithm (polynomial or exponential) are DISTINCT concepts.\n\n A valid proof of P ≠ NP must show that EVERY POSSIBLE ALGORITHM\n requires superpolynomial time, not just that naive enumeration does.\n-/\n\nend MeekAttempt\n" | |
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| "content": "/-\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization demonstrates where Meek's computational rate and\n search partition approach to proving P ≠ NP breaks down when translated\n to formal computational complexity theory.\n\n Key Error: Confusing the size of the search space with computational\n requirements, and circular reasoning about \"search partitions\".\n-/\n\nnamespace MeekAttempt\n\n/-\n Basic definitions for computational complexity classes\n-/\n\n-- A language is a set of strings (represented as natural numbers)\ndef Language := Nat → Prop\n\n-- Time complexity function\ndef TimeComplexity := Nat → Nat\n\n-- Polynomial time bound\ndef PolynomialTime (f : TimeComplexity) : Prop :=\n ∃ c k : Nat, ∀ n : Nat, f n ≤ c * (n ^ k) + c\n\n-- Exponential time bound\ndef ExponentialTime (f : TimeComplexity) : Prop :=\n ∃ a c : Nat, a > 1 ∧ ∀ n : Nat, f n ≥ c * (a ^ n)\n\n-- Language is in P\ndef InP (L : Language) : Prop :=\n ∃ (M : Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ M x = true\n\n-- Language is in NP (with verifier)\ndef InNP (L : Language) : Prop :=\n ∃ (V : Nat → Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n ∀ x : Nat, L x ↔ ∃ c : Nat, V x c = true\n\n-- NP-complete\ndef NPComplete (L : Language) : Prop :=\n InNP L ∧ ∀ L' : Language, InNP L' → (∃ f : Nat → Nat, True) -- Simplified reduction\n\n/-\n Meek's Attempt: Computational Rate Analysis\n\n Meek claims that the \"rate\" r(n) = 2^(kn) / t(n) approaches infinity,\n where 2^(kn) is the number of possible input sets and t(n) is polynomial time.\n\n CRITICAL GAP #1: This ratio has no formal meaning in complexity theory\n-/\n\n-- The number of possible assignments for k-SAT with n clauses\ndef NumAssignments (k n : Nat) : Nat := 2 ^ (k * n)\n\n-- Meek's \"computational rate\" - UNDEFINED IN COMPLEXITY THEORY\n-- This is not a valid concept - algorithms don't \"process input sets\"\ndef ComputationalRate (k n : Nat) (t : TimeComplexity) : Nat :=\n NumAssignments k n / t n\n\n-- Meek claims this approaches infinity\n-- Note: This axiom expresses Meek's claim, which is mathematically true\n-- but computationally meaningless\naxiom rate_approaches_infinity :\n ∀ k : Nat, k ≥ 3 →\n ∀ t : TimeComplexity, PolynomialTime t →\n ∀ N : Nat, ∃ n : Nat, n > N ∧ ComputationalRate k n t > N\n\n/-\n CRITICAL GAP #2: Invalid Inference\n\n Meek concludes from the above that algorithms must \"examine no more than\n a polynomial number of input sets\". But this doesn't follow!\n\n ERROR: Confusing search space size with computational requirements\n-/\n\n-- Meek's \"P = NP Optimization Theorem\" (Theorem 4.4)\n-- This is presented as proven, but actually ASSUMES what needs to be proven\n-- Note: This axiom is CIRCULAR - it assumes P algorithms must work by examining input sets\naxiom meek_optimization_theorem_CIRCULAR :\n ∀ L : Language, NPComplete L →\n ∀ M : Nat → Bool, (∀ x, L x ↔ M x = true) →\n ∀ t : TimeComplexity, PolynomialTime t →\n -- Meek claims: must examine ≤ poly(n) \"input sets\"\n -- ERROR: No formal definition of \"examining input sets\"\n -- ERROR: Assumes algorithms work by enumeration\n True -- Placeholder for unformalizable claim\n\n/-\n CRITICAL GAP #3: The \"Search Partition\" Concept\n\n Meek introduces \"representative polynomial search partitions\" but never\n rigorously defines them in computational terms.\n-/\n\n-- Attempt to model \"search partition\"\n-- A subset of the exponential search space\nstructure SearchPartition (k n : Nat) where\n subset : Nat → Prop\n size : Nat\n is_poly : ∃ c p : Nat, size ≤ c * (n ^ p) + c\n\n-- \"Representative\" means it contains a solution if one exists\ndef Representative (k n : Nat) (L : Language) (sp : SearchPartition k n) : Prop :=\n (∃ x : Nat, L x) → (∃ x : Nat, sp.subset x ∧ L x)\n\n/-\n CRITICAL GAP #4: Circular Reasoning in Search Partition Theorem\n\n Meek's \"P = NP Search Partition Theorem\" (Theorem 5.1) claims that\n finding a representative polynomial search partition requires examining\n exponentially many assignments.\n\n ERROR: This assumes there's no efficient way to find such partitions,\n which is equivalent to assuming P ≠ NP!\n-/\n\n-- Time to find a search partition by exhaustion\ndef PartitionFindingTime (k n : Nat) : Nat :=\n 2 ^ (k * n) -- Meek claims this is necessary\n\n-- Meek's claim: finding partitions is FEXP-hard (exponential)\n-- ERROR: This is CIRCULAR - assumes no poly-time method exists\n-- Note: This axiom assumes P≠NP to prove P≠NP\naxiom partition_finding_is_hard_CIRCULAR :\n ∀ k n : Nat, k ≥ 3 →\n ∀ L : Language, NPComplete L →\n ∀ sp : SearchPartition k n, Representative k n L sp →\n -- Claim: finding sp requires exponential time\n -- ERROR: Assumes no efficient method, which assumes P≠NP\n ∃ t : TimeComplexity, ExponentialTime t\n\n/-\n CRITICAL GAP #5: Misunderstanding of Polynomial-Time Algorithms\n\n Meek assumes algorithms solve SAT by:\n 1. Finding a \"representative polynomial search partition\"\n 2. Searching within that partition\n\n ERROR: This is not how polynomial-time algorithms work!\n A P algorithm (if one exists) might:\n - Use algebraic manipulations\n - Exploit structural properties\n - Transform to a different representation\n - Never explicitly enumerate assignments\n-/\n\n-- Example: P algorithms don't work by \"processing input sets\"\n-- Consider 2-SAT, which is in P\ndef TwoSAT : Language := sorry -- Simplified\n\n-- 2-SAT has polynomial-time algorithm using implication graphs\n-- It does NOT work by finding \"search partitions\"!\naxiom two_sat_in_p : InP TwoSAT\n\n-- The algorithm for 2-SAT doesn't \"process\" 2^n assignments\n-- It uses structural properties (implications between literals)\n-- Note: This shows algorithms need not enumerate search spaces\naxiom two_sat_uses_structure_not_enumeration :\n ∃ (M : Nat → Bool) (t : TimeComplexity),\n PolynomialTime t ∧\n (∀ x, TwoSAT x ↔ M x = true) ∧\n -- The algorithm doesn't enumerate assignments\n True -- Placeholder for \"doesn't use search partitions\"\n\n/-\n CRITICAL GAP #6: The Ratio Approaching Infinity Proves Nothing\n\n Meek proves lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n).\n This is MATHEMATICALLY CORRECT but COMPUTATIONALLY IRRELEVANT.\n-/\n\n-- Exponentials dominate polynomials (correct)\ntheorem exponential_dominates_polynomial :\n ∀ k : Nat, k ≥ 1 →\n ∀ a c p : Nat, a ≥ 2 →\n ∃ n₀ : Nat, ∀ n : Nat, n ≥ n₀ →\n a ^ n > c * (n ^ p) + c := by\n sorry\n\n-- But this says NOTHING about whether problems can be solved in poly-time!\n-- Counterexample: Sorting n numbers\nexample :\n -- There are n! permutations (exponential space)\n -- But we can sort in O(n log n) time\n -- The ratio (n!)/(n log n) → ∞\n -- Yet sorting is in P!\n True := by\n trivial\n\n/-\n CRITICAL GAP #7: Dependency on Unproven Claims\n\n Meek's conclusion relies on Articles 2, 3, and 4 in his series,\n which make claims like \"SAT does not have a deterministic polynomial\n time solution\" - but this is what needs to be proven!\n-/\n\n-- Meek's final conclusion depends on these unproven claims\naxiom meek_article_2_claim : True -- Unproven claim about Knapsack\naxiom meek_article_3_claim : True -- Unproven claim about oracle relativization\naxiom meek_article_4_claim : True -- Unproven claim that SAT not in P\n\n-- The \"theorem\" Meek CANNOT actually prove\ntheorem meek_p_neq_np : ¬ (∀ L, InP L ↔ InNP L) := by\n sorry\n\n/-\n BARRIER ANALYSIS: Why This Approach Cannot Work\n-/\n\n-- Meek's argument would relativize (work the same with oracle access)\n-- But Baker-Gill-Solovay (1975) showed there are oracles where P=NP\n-- Therefore, any relativizing proof of P≠NP must be invalid\n\n-- Note: This is a meta-theoretical observation about why Meek's approach fails\naxiom baker_gill_solovay_barrier :\n -- There exist oracles O such that P^O = NP^O\n -- Meek's counting argument would work the same with oracles\n -- Therefore it cannot prove P ≠ NP\n True\n\n/-\n CONCLUSION: Where the Proof Fails\n\n When we attempt to formalize Meek's argument, we find:\n\n 1. **Undefined concepts**: \"Computational rate\", \"processing input sets\"\n 2. **Circular reasoning**: Assumes P≠NP to prove P≠NP\n 3. **Invalid inference**: Ratio approaching infinity doesn't imply hardness\n 4. **Misunderstanding**: Algorithms don't work by enumerating search spaces\n 5. **Dependency on unproven claims**: Relies on other invalid papers\n 6. **Ignores barriers**: Would fail relativization\n-/\n\n-- What WOULD be needed for a valid proof:\n\n-- P ⊆ NP is provable (and correct)\naxiom p_subset_np : ∀ L, InP L → InNP L\n\n-- But P ≠ NP requires showing EVERY possible algorithm is superpolynomial\n-- Meek only argues about algorithms that work by \"finding search partitions\"\n-- This is insufficient - it's like proving \"naive sorting is O(n²)\" doesn't\n-- prove \"all sorting is Ω(n²)\" (which is false - we have O(n log n))\n\n/-\n Educational Value:\n\n This formalization demonstrates that COUNTING ARGUMENTS about search\n space sizes are not sufficient to prove complexity separations.\n\n The size of the solution space (exponential) and the time complexity\n of the best algorithm (polynomial or exponential) are DISTINCT concepts.\n\n A valid proof of P ≠ NP must show that EVERY POSSIBLE ALGORITHM\n requires superpolynomial time, not just that naive enumeration does.\n-/\n\nend MeekAttempt\n", | |
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| "content": "(*\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization identifies the critical flaws in Meek's argument,\n particularly the confusion between search space size and computational\n complexity, and the circular reasoning about \"search partitions\".\n*)\n\nRequire Import Coq.Arith.Arith.\nRequire Import Coq.Init.Nat.\nRequire Import Coq.Logic.Classical_Prop.\n\nModule MeekAttempt.\n\n(*\n Basic Definitions for Computational Complexity\n*)\n\n(* A language is a decision problem *)\nDefinition Language := nat -> Prop.\n\n(* Time complexity function *)\nDefinition TimeComplexity := nat -> nat.\n\n(* Polynomial time bound *)\nDefinition PolynomialTime (f : TimeComplexity) : Prop :=\n exists c k : nat, forall n : nat, f n <= c * (n ^ k) + c.\n\n(* Exponential time bound *)\nDefinition ExponentialTime (f : TimeComplexity) : Prop :=\n exists a c : nat, a > 1 /\\ forall n : nat, f n >= c * (a ^ n).\n\n(* Language in P *)\nDefinition InP (L : Language) : Prop :=\n exists (M : nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n forall x : nat, L x <-> M x = true.\n\n(* Language in NP *)\nDefinition InNP (L : Language) : Prop :=\n exists (V : nat -> nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n forall x : nat, L x <-> exists c : nat, V x c = true.\n\n(* NP-complete *)\nDefinition NPComplete (L : Language) : Prop :=\n InNP L /\\ forall L' : Language, InNP L' -> True. (* Simplified *)\n\n(*\n Meek's Computational Rate Concept\n\n CRITICAL ERROR #1: The \"computational rate\" has no formal meaning\n in computational complexity theory.\n*)\n\n(* Number of possible truth assignments for k-SAT with n clauses *)\nDefinition NumAssignments (k n : nat) : nat := 2 ^ (k * n).\n\n(* Meek's \"computational rate\" - THIS CONCEPT IS INVALID *)\nDefinition ComputationalRate (k n : nat) (t : TimeComplexity) : nat :=\n NumAssignments k n / (t n).\n\n(* Meek correctly proves this ratio approaches infinity *)\nAxiom rate_approaches_infinity :\n forall k : nat, k >= 3 ->\n forall t : TimeComplexity, PolynomialTime t ->\n forall N : nat, exists n : nat, n > N /\\ ComputationalRate k n t > N.\n\n(*\n CRITICAL ERROR #2: Invalid Inference\n\n From \"the ratio approaches infinity\", Meek incorrectly concludes that\n algorithms must \"examine only a polynomial number of input sets\".\n\n This is a non-sequitur. The size of the search space and the time\n to solve the problem are distinct concepts.\n*)\n\n(* Meek's \"P = NP Optimization Theorem\" - CIRCULAR ASSUMPTION *)\nAxiom meek_optimization_theorem :\n forall L : Language, NPComplete L ->\n forall M : nat -> bool, (forall x, L x <-> M x = true) ->\n forall t : TimeComplexity, PolynomialTime t ->\n (* Meek claims: algorithm must examine <= poly(n) \"input sets\" *)\n (* ERROR: This assumes algorithms work by enumeration *)\n (* ERROR: No formal definition of \"examining input sets\" *)\n True. (* Unformalizable *)\n\n(*\n CRITICAL ERROR #3: The \"Search Partition\" Fallacy\n\n Meek introduces \"representative polynomial search partitions\" without\n proper formalization.\n*)\n\n(* Attempt to model search partition *)\nRecord SearchPartition (k n : nat) : Type := {\n subset : nat -> Prop;\n size : nat;\n is_polynomial : exists c p : nat, size <= c * (n ^ p) + c\n}.\n\n(* A partition is \"representative\" if it contains a solution when one exists *)\nDefinition Representative (k n : nat) (L : Language) (sp : SearchPartition k n) : Prop :=\n (exists x : nat, L x) -> (exists x : nat, subset k n sp x /\\ L x).\n\n(*\n CRITICAL ERROR #4: Circular Reasoning About Partition Finding\n\n Meek claims finding a \"representative polynomial search partition\"\n requires exponential time (FEXP-complete).\n\n ERROR: This assumes there's no efficient way to find such partitions,\n which is EQUIVALENT to assuming P ≠ NP!\n*)\n\n(* Meek's claim: partition finding is exponentially hard *)\nAxiom partition_finding_hard :\n forall k n : nat, k >= 3 ->\n forall L : Language, NPComplete L ->\n forall sp : SearchPartition k n, Representative k n L sp ->\n (* ERROR: Assumes no poly-time method exists - circular! *)\n exists t : TimeComplexity, ExponentialTime t.\n\n(*\n CRITICAL ERROR #5: Misunderstanding How Algorithms Work\n\n Meek assumes all algorithms solve problems by:\n 1. Finding a search partition\n 2. Enumerating elements in that partition\n\n This is false! Polynomial-time algorithms can:\n - Use algebraic techniques\n - Exploit structural properties\n - Transform problems\n - Never explicitly enumerate solutions\n*)\n\n(* Example: 2-SAT is in P but doesn't use \"search partitions\" *)\nAxiom TwoSAT : Language.\nAxiom two_sat_in_p : InP TwoSAT.\n\n(* The 2-SAT algorithm uses implication graphs, not enumeration *)\nAxiom two_sat_uses_structure :\n exists (M : nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n (forall x, TwoSAT x <-> M x = true) /\\\n (* Does not work by \"finding search partitions\" *)\n True. (* Placeholder *)\n\n(*\n CRITICAL ERROR #6: Asymptotic Analysis Proves Nothing About Complexity\n\n Meek proves: lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n)\n\n This is MATHEMATICALLY CORRECT but tells us NOTHING about whether\n NP-complete problems can be solved in polynomial time.\n*)\n\n(* Exponentials do dominate polynomials - this is correct *)\nTheorem exponential_dominates_polynomial :\n forall k a c p : nat, k >= 1 -> a >= 2 ->\n exists n0 : nat, forall n : nat, n >= n0 ->\n a ^ n > c * (n ^ p) + c.\nProof.\n (* This would be provable with sufficient arithmetic lemmas *)\n admit.\nAdmitted.\n\n(* But this doesn't imply computational hardness! *)\n(* Counterexample: Sorting has n! possible inputs (exponential)\n but can be done in O(n log n) time (polynomial-ish) *)\n\n(*\n CRITICAL ERROR #7: Dependency on Unproven Claims\n\n Meek's final conclusion depends on claims from three other papers\n in his series, including \"SAT does not have a deterministic\n polynomial time solution\" - but proving this is THE ENTIRE PROBLEM!\n*)\n\n(* Claims from Meek's other articles - UNPROVEN *)\nAxiom meek_article_2 : True. (* Knapsack claim *)\nAxiom meek_article_3 : True. (* Oracle relativization claim *)\nAxiom meek_article_4 : True. (* Claim that SAT not in P - CIRCULAR! *)\n\n(*\n The \"Proof\" That Cannot Be Completed\n*)\n\n(* Meek's conclusion: P ≠ NP *)\nTheorem meek_p_neq_np : ~ (forall L, InP L <-> InNP L).\nProof.\n (* This cannot be proven from the axioms above because they are:\n 1. Circular (assume P≠NP to prove P≠NP)\n 2. Based on undefined concepts\n 3. Make invalid inferences *)\n admit.\nAdmitted.\n\n(*\n Why This Approach Fails: Barrier Analysis\n*)\n\n(* Baker-Gill-Solovay (1975): Relativization Barrier\n\n There exist oracles O such that P^O = NP^O and oracles O' such that\n P^O' ≠ NP^O'.\n\n Meek's counting argument would work the same way with oracle access\n (counting oracle query possibilities), so it would \"relativize\".\n\n Any proof that relativizes cannot resolve P vs NP.\n\n Therefore, Meek's approach is fundamentally flawed.\n*)\n\nAxiom baker_gill_solovay : True. (* Meta-theoretical observation *)\n\n(*\n What's Actually Wrong: The Core Confusion\n*)\n\n(* Meek confuses:\n - Size of search space (2^n assignments)\n - Time to solve problem (polynomial or exponential)\n\n These are DIFFERENT concepts!\n\n Example: Finding a specific element in a sorted array\n - Search space: n elements\n - Time: O(log n) using binary search\n - We don't examine all n elements!\n\n Similarly, a hypothetical P-time SAT algorithm wouldn't\n \"examine\" all 2^n assignments - it would use structure.\n*)\n\n(*\n Valid Proof Components vs. Invalid Inferences\n*)\n\n(* VALID: P is a subset of NP *)\nAxiom p_subset_np : forall L, InP L -> InNP L.\n\n(* VALID: Exponentials grow faster than polynomials *)\n(* (We stated this above) *)\n\n(* INVALID: \"Therefore algorithms must examine exponentially many cases\" *)\n(* This is a non-sequitur! *)\n\n(* INVALID: \"Finding polynomial partitions is exponentially hard\" *)\n(* This assumes P≠NP, making the argument circular! *)\n\n(*\n Conclusion: The Formalization Reveals the Errors\n*)\n\n(* When we attempt to formalize Meek's argument, we discover:\n\n 1. Key concepts (like \"processing input sets\") are undefined\n 2. The main theorems assume what they claim to prove (circular)\n 3. Valid mathematical facts (exponentials > polynomials) are\n used to draw invalid conclusions about complexity\n 4. The argument confuses search space size with running time\n 5. Dependencies on other flawed papers create circular reasoning\n\n A valid proof of P ≠ NP must show that EVERY possible algorithm\n requires superpolynomial time, not just that naive enumeration does.\n\n Meek's approach only addresses algorithms that work by \"finding\n search partitions\", which is:\n a) Not how all algorithms work (see: 2-SAT)\n b) A restricted model he hasn't justified\n c) Assumed to be hard (circular reasoning)\n*)\n\nEnd MeekAttempt.\n" | |
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| "content": "(*\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization identifies the critical flaws in Meek's argument,\n particularly the confusion between search space size and computational\n complexity, and the circular reasoning about \"search partitions\".\n*)\n\nRequire Import Coq.Arith.Arith.\nRequire Import Coq.Init.Nat.\nRequire Import Coq.Logic.Classical_Prop.\n\nModule MeekAttempt.\n\n(*\n Basic Definitions for Computational Complexity\n*)\n\n(* A language is a decision problem *)\nDefinition Language := nat -> Prop.\n\n(* Time complexity function *)\nDefinition TimeComplexity := nat -> nat.\n\n(* Polynomial time bound *)\nDefinition PolynomialTime (f : TimeComplexity) : Prop :=\n exists c k : nat, forall n : nat, f n <= c * (n ^ k) + c.\n\n(* Exponential time bound *)\nDefinition ExponentialTime (f : TimeComplexity) : Prop :=\n exists a c : nat, a > 1 /\\ forall n : nat, f n >= c * (a ^ n).\n\n(* Language in P *)\nDefinition InP (L : Language) : Prop :=\n exists (M : nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n forall x : nat, L x <-> M x = true.\n\n(* Language in NP *)\nDefinition InNP (L : Language) : Prop :=\n exists (V : nat -> nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n forall x : nat, L x <-> exists c : nat, V x c = true.\n\n(* NP-complete *)\nDefinition NPComplete (L : Language) : Prop :=\n InNP L /\\ forall L' : Language, InNP L' -> True. (* Simplified *)\n\n(*\n Meek's Computational Rate Concept\n\n CRITICAL ERROR #1: The \"computational rate\" has no formal meaning\n in computational complexity theory.\n*)\n\n(* Number of possible truth assignments for k-SAT with n clauses *)\nDefinition NumAssignments (k n : nat) : nat := 2 ^ (k * n).\n\n(* Meek's \"computational rate\" - THIS CONCEPT IS INVALID *)\nDefinition ComputationalRate (k n : nat) (t : TimeComplexity) : nat :=\n NumAssignments k n / (t n).\n\n(* Meek correctly proves this ratio approaches infinity *)\nAxiom rate_approaches_infinity :\n forall k : nat, k >= 3 ->\n forall t : TimeComplexity, PolynomialTime t ->\n forall N : nat, exists n : nat, n > N /\\ ComputationalRate k n t > N.\n\n(*\n CRITICAL ERROR #2: Invalid Inference\n\n From \"the ratio approaches infinity\", Meek incorrectly concludes that\n algorithms must \"examine only a polynomial number of input sets\".\n\n This is a non-sequitur. The size of the search space and the time\n to solve the problem are distinct concepts.\n*)\n\n(* Meek's \"P = NP Optimization Theorem\" - CIRCULAR ASSUMPTION *)\nAxiom meek_optimization_theorem :\n forall L : Language, NPComplete L ->\n forall M : nat -> bool, (forall x, L x <-> M x = true) ->\n forall t : TimeComplexity, PolynomialTime t ->\n (* Meek claims: algorithm must examine <= poly(n) \"input sets\" *)\n (* ERROR: This assumes algorithms work by enumeration *)\n (* ERROR: No formal definition of \"examining input sets\" *)\n True. (* Unformalizable *)\n\n(*\n CRITICAL ERROR #3: The \"Search Partition\" Fallacy\n\n Meek introduces \"representative polynomial search partitions\" without\n proper formalization.\n*)\n\n(* Attempt to model search partition *)\nRecord SearchPartition (k n : nat) : Type := {\n subset : nat -> Prop;\n size : nat;\n is_polynomial : exists c p : nat, size <= c * (n ^ p) + c\n}.\n\n(* A partition is \"representative\" if it contains a solution when one exists *)\nDefinition Representative (k n : nat) (L : Language) (sp : SearchPartition k n) : Prop :=\n (exists x : nat, L x) -> (exists x : nat, subset k n sp x /\\ L x).\n\n(*\n CRITICAL ERROR #4: Circular Reasoning About Partition Finding\n\n Meek claims finding a \"representative polynomial search partition\"\n requires exponential time (FEXP-complete).\n\n ERROR: This assumes there's no efficient way to find such partitions,\n which is EQUIVALENT to assuming P ≠ NP!\n*)\n\n(* Meek's claim: partition finding is exponentially hard *)\nAxiom partition_finding_hard :\n forall k n : nat, k >= 3 ->\n forall L : Language, NPComplete L ->\n forall sp : SearchPartition k n, Representative k n L sp ->\n (* ERROR: Assumes no poly-time method exists - circular! *)\n exists t : TimeComplexity, ExponentialTime t.\n\n(*\n CRITICAL ERROR #5: Misunderstanding How Algorithms Work\n\n Meek assumes all algorithms solve problems by:\n 1. Finding a search partition\n 2. Enumerating elements in that partition\n\n This is false! Polynomial-time algorithms can:\n - Use algebraic techniques\n - Exploit structural properties\n - Transform problems\n - Never explicitly enumerate solutions\n*)\n\n(* Example: 2-SAT is in P but doesn't use \"search partitions\" *)\nAxiom TwoSAT : Language.\nAxiom two_sat_in_p : InP TwoSAT.\n\n(* The 2-SAT algorithm uses implication graphs, not enumeration *)\nAxiom two_sat_uses_structure :\n exists (M : nat -> bool) (t : TimeComplexity),\n PolynomialTime t /\\\n (forall x, TwoSAT x <-> M x = true) /\\\n (* Does not work by \"finding search partitions\" *)\n True. (* Placeholder *)\n\n(*\n CRITICAL ERROR #6: Asymptotic Analysis Proves Nothing About Complexity\n\n Meek proves: lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n)\n\n This is MATHEMATICALLY CORRECT but tells us NOTHING about whether\n NP-complete problems can be solved in polynomial time.\n*)\n\n(* Exponentials do dominate polynomials - this is correct *)\nTheorem exponential_dominates_polynomial :\n forall k a c p : nat, k >= 1 -> a >= 2 ->\n exists n0 : nat, forall n : nat, n >= n0 ->\n a ^ n > c * (n ^ p) + c.\nProof.\n (* This would be provable with sufficient arithmetic lemmas *)\n admit.\nAdmitted.\n\n(* But this doesn't imply computational hardness! *)\n(* Counterexample: Sorting has n! possible inputs (exponential)\n but can be done in O(n log n) time (polynomial-ish) *)\n\n(*\n CRITICAL ERROR #7: Dependency on Unproven Claims\n\n Meek's final conclusion depends on claims from three other papers\n in his series, including \"SAT does not have a deterministic\n polynomial time solution\" - but proving this is THE ENTIRE PROBLEM!\n*)\n\n(* Claims from Meek's other articles - UNPROVEN *)\nAxiom meek_article_2 : True. (* Knapsack claim *)\nAxiom meek_article_3 : True. (* Oracle relativization claim *)\nAxiom meek_article_4 : True. (* Claim that SAT not in P - CIRCULAR! *)\n\n(*\n The \"Proof\" That Cannot Be Completed\n*)\n\n(* Meek's conclusion: P ≠ NP *)\nTheorem meek_p_neq_np : ~ (forall L, InP L <-> InNP L).\nProof.\n (* This cannot be proven from the axioms above because they are:\n 1. Circular (assume P≠NP to prove P≠NP)\n 2. Based on undefined concepts\n 3. Make invalid inferences *)\n admit.\nAdmitted.\n\n(*\n Why This Approach Fails: Barrier Analysis\n*)\n\n(* Baker-Gill-Solovay (1975): Relativization Barrier\n\n There exist oracles O such that P^O = NP^O and oracles O' such that\n P^O' ≠ NP^O'.\n\n Meek's counting argument would work the same way with oracle access\n (counting oracle query possibilities), so it would \"relativize\".\n\n Any proof that relativizes cannot resolve P vs NP.\n\n Therefore, Meek's approach is fundamentally flawed.\n*)\n\nAxiom baker_gill_solovay : True. (* Meta-theoretical observation *)\n\n(*\n What's Actually Wrong: The Core Confusion\n*)\n\n(* Meek confuses:\n - Size of search space (2^n assignments)\n - Time to solve problem (polynomial or exponential)\n\n These are DIFFERENT concepts!\n\n Example: Finding a specific element in a sorted array\n - Search space: n elements\n - Time: O(log n) using binary search\n - We don't examine all n elements!\n\n Similarly, a hypothetical P-time SAT algorithm wouldn't\n \"examine\" all 2^n assignments - it would use structure.\n*)\n\n(*\n Valid Proof Components vs. Invalid Inferences\n*)\n\n(* VALID: P is a subset of NP *)\nAxiom p_subset_np : forall L, InP L -> InNP L.\n\n(* VALID: Exponentials grow faster than polynomials *)\n(* (We stated this above) *)\n\n(* INVALID: \"Therefore algorithms must examine exponentially many cases\" *)\n(* This is a non-sequitur! *)\n\n(* INVALID: \"Finding polynomial partitions is exponentially hard\" *)\n(* This assumes P≠NP, making the argument circular! *)\n\n(*\n Conclusion: The Formalization Reveals the Errors\n*)\n\n(* When we attempt to formalize Meek's argument, we discover:\n\n 1. Key concepts (like \"processing input sets\") are undefined\n 2. The main theorems assume what they claim to prove (circular)\n 3. Valid mathematical facts (exponentials > polynomials) are\n used to draw invalid conclusions about complexity\n 4. The argument confuses search space size with running time\n 5. Dependencies on other flawed papers create circular reasoning\n\n A valid proof of P ≠ NP must show that EVERY possible algorithm\n requires superpolynomial time, not just that naive enumeration does.\n\n Meek's approach only addresses algorithms that work by \"finding\n search partitions\", which is:\n a) Not how all algorithms work (see: 2-SAT)\n b) A restricted model he hasn't justified\n c) Assumed to be hard (circular reasoning)\n*)\n\nEnd MeekAttempt.\n", | |
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| "content": "theory MeekAttempt\n imports Main\nbegin\n\ntext \\<open>\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization demonstrates that Meek's \"computational rate\" and\n \"search partition\" arguments contain fundamental errors:\n 1. Confusing search space size with computational requirements\n 2. Circular reasoning (assuming P≠NP to prove P≠NP)\n 3. Invalid inferences from asymptotic analysis\n 4. Dependence on unproven claims from other papers\n\\<close>\n\nsection \\<open>Basic Complexity Theory Definitions\\<close>\n\ntype_synonym language = \"nat \\<Rightarrow> bool\"\ntype_synonym time_complexity = \"nat \\<Rightarrow> nat\"\n\ndefinition polynomial_time :: \"time_complexity \\<Rightarrow> bool\" where\n \"polynomial_time f \\<equiv> \\<exists>c k. \\<forall>n. f n \\<le> c * (n ^ k) + c\"\n\ndefinition exponential_time :: \"time_complexity \\<Rightarrow> bool\" where\n \"exponential_time f \\<equiv> \\<exists>a c. a > 1 \\<and> (\\<forall>n. f n \\<ge> c * (a ^ n))\"\n\ndefinition in_P :: \"language \\<Rightarrow> bool\" where\n \"in_P L \\<equiv> \\<exists>M t. polynomial_time t \\<and> (\\<forall>x. L x = M x)\"\n\ndefinition in_NP :: \"language \\<Rightarrow> bool\" where\n \"in_NP L \\<equiv> \\<exists>V t. polynomial_time t \\<and> (\\<forall>x. L x = (\\<exists>c. V x c))\"\n\ndefinition np_complete :: \"language \\<Rightarrow> bool\" where\n \"np_complete L \\<equiv> in_NP L \\<and> (\\<forall>L'. in_NP L' \\<longrightarrow> True)\" \\<comment> \\<open>Simplified\\<close>\n\nsection \\<open>Meek's Computational Rate Concept\\<close>\n\ntext \\<open>\n CRITICAL ERROR #1: The \"computational rate\" is not a valid concept\n in computational complexity theory.\n\n Meek defines: r(n) = 2^(kn) / t(n)\n where 2^(kn) is the number of possible truth assignments\n and t(n) is the running time of a hypothetical polynomial algorithm.\n\n This ratio has no formal meaning. Algorithms don't \"process input sets\"\n in the way Meek assumes.\n\\<close>\n\ndefinition num_assignments :: \"nat \\<Rightarrow> nat \\<Rightarrow> nat\" where\n \"num_assignments k n = 2 ^ (k * n)\"\n\ndefinition computational_rate :: \"nat \\<Rightarrow> nat \\<Rightarrow> time_complexity \\<Rightarrow> nat\" where\n \"computational_rate k n t = (num_assignments k n) div (t n)\"\n\ntext \\<open>Meek correctly proves this ratio approaches infinity\\<close>\n\naxiomatization where\n rate_approaches_infinity:\n \"\\<lbrakk>k \\<ge> 3; polynomial_time t; N > 0\\<rbrakk> \\<Longrightarrow>\n \\<exists>n > N. computational_rate k n t > N\"\n\nsection \\<open>CRITICAL ERROR #2: Invalid Inference\\<close>\n\ntext \\<open>\n From \"the ratio approaches infinity\", Meek concludes that any\n polynomial-time algorithm must \"examine no more than a polynomial\n number of input sets\".\n\n This is a NON-SEQUITUR. The conclusion doesn't follow from the premise.\n\n The size of the search space (exponential) and the time to solve\n the problem (potentially polynomial) are DISTINCT concepts.\n\\<close>\n\ntext \\<open>Meek's \"P = NP Optimization Theorem\" - CIRCULAR\\<close>\n\naxiomatization where\n meek_optimization_theorem_CIRCULAR:\n \"\\<lbrakk>np_complete L; \\<forall>x. L x = M x; polynomial_time t\\<rbrakk> \\<Longrightarrow>\n True\" \\<comment> \\<open>Placeholder for unformalizable claim about \"examining input sets\"\\<close>\n\ntext \\<open>\n The above axiom is meaningless because:\n 1. \"Examining input sets\" has no formal definition\n 2. It assumes algorithms work by enumeration (false)\n 3. It assumes what needs to be proven (circular)\n\\<close>\n\nsection \\<open>CRITICAL ERROR #3: The Search Partition Fallacy\\<close>\n\ntext \\<open>\n Meek introduces \"representative polynomial search partitions\" as\n a central concept, but never rigorously defines them or proves\n that algorithms must work this way.\n\\<close>\n\nrecord 'a search_partition =\n subset :: \"nat \\<Rightarrow> bool\"\n size :: nat\n is_poly :: \"(\\<exists>c p. size search_partition \\<le> c * (size search_partition ^ p) + c)\"\n\ndefinition representative :: \"nat \\<Rightarrow> nat \\<Rightarrow> language \\<Rightarrow> 'a search_partition \\<Rightarrow> bool\" where\n \"representative k n L sp \\<equiv>\n (\\<exists>x. L x) \\<longrightarrow> (\\<exists>x. subset sp x \\<and> L x)\"\n\nsection \\<open>CRITICAL ERROR #4: Circular Reasoning\\<close>\n\ntext \\<open>\n Meek's \"P = NP Search Partition Theorem\" claims that finding\n a representative polynomial search partition requires examining\n exponentially many input sets (FEXP-complete).\n\n ERROR: This ASSUMES there is no efficient way to find such partitions,\n which is EQUIVALENT to assuming P ≠ NP!\n\n If P = NP, then there would exist a polynomial-time algorithm that\n finds solutions (and implicitly, efficient partitions) without\n exhaustive search. Assuming this is impossible is circular.\n\\<close>\n\naxiomatization where\n partition_finding_hard_CIRCULAR:\n \"\\<lbrakk>k \\<ge> 3; np_complete L; representative k n L sp\\<rbrakk> \\<Longrightarrow>\n \\<exists>t. exponential_time t\"\n\ntext \\<open>\n The above assumes P≠NP (no efficient partition finding) to prove P≠NP.\n This is CIRCULAR REASONING.\n\\<close>\n\nsection \\<open>CRITICAL ERROR #5: Misunderstanding Algorithms\\<close>\n\ntext \\<open>\n Meek assumes all algorithms work by:\n 1. Finding a search partition\n 2. Enumerating elements within it\n\n This is FALSE. Polynomial-time algorithms can use:\n - Algebraic techniques\n - Structural properties\n - Problem transformations\n - Methods that never enumerate solutions\n\\<close>\n\ntext \\<open>Counterexample: 2-SAT is in P but doesn't use search partitions\\<close>\n\naxiomatization\n TwoSAT :: language\nwhere\n two_sat_in_p: \"in_P TwoSAT\" and\n two_sat_uses_structure:\n \"\\<exists>M t. polynomial_time t \\<and> (\\<forall>x. TwoSAT x = M x)\"\n\ntext \\<open>\n The 2-SAT algorithm uses implication graphs and strongly connected\n components, NOT \"search partitions\". This disproves Meek's assumption\n that all algorithms must work by finding and searching partitions.\n\\<close>\n\nsection \\<open>CRITICAL ERROR #6: Asymptotic Analysis Proves Nothing\\<close>\n\ntext \\<open>\n Meek proves: lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n)\n\n This is MATHEMATICALLY CORRECT but COMPUTATIONALLY IRRELEVANT.\n\n Counterexample: Sorting\n - There are n! permutations of n elements (exponential)\n - But we can sort in O(n log n) time\n - The ratio (n!)/(n log n) → ∞\n - Yet sorting is clearly in P!\n\n The size of the search space does NOT determine the time complexity.\n\\<close>\n\ntheorem exponential_dominates_polynomial:\n fixes k a c p :: nat\n assumes \"k \\<ge> 1\" and \"a \\<ge> 2\"\n shows \"\\<exists>n0. \\<forall>n \\<ge> n0. a ^ n > c * (n ^ p) + c\"\n sorry \\<comment> \\<open>This is mathematically true\\<close>\n\ntext \\<open>But the above tells us NOTHING about P vs NP!\\<close>\n\nsection \\<open>CRITICAL ERROR #7: Dependency on Unproven Claims\\<close>\n\ntext \\<open>\n Meek's final conclusion depends on claims from three other papers:\n - Article 2: About the Knapsack problem\n - Article 3: About oracle relativizations\n - Article 4: \"SAT does not have a deterministic polynomial time solution\"\n\n The fourth claim is CIRCULAR - it asserts P≠NP to prove P≠NP!\n These papers contain similar flaws and were never published.\n\\<close>\n\naxiomatization where\n meek_article_2_claim: \"True\" and \\<comment> \\<open>Unproven\\<close>\n meek_article_3_claim: \"True\" and \\<comment> \\<open>Unproven\\<close>\n meek_article_4_claim: \"True\" \\<comment> \\<open>Circular - assumes P≠NP\\<close>\n\nsection \\<open>The \"Proof\" That Cannot Be Completed\\<close>\n\ntheorem meek_p_neq_np: \"\\<not>(\\<forall>L. in_P L = in_NP L)\"\n sorry\n\ntext \\<open>\n The above cannot be proven because:\n 1. The axioms are circular (assume P≠NP to prove P≠NP)\n 2. Key concepts are undefined or invalid\n 3. Inferences are invalid (non-sequiturs)\n 4. Dependencies on other unproven claims\n\\<close>\n\nsection \\<open>Why This Approach Fails: Barrier Analysis\\<close>\n\ntext \\<open>\n Baker-Gill-Solovay (1975): Relativization Barrier\n\n There exist oracles O such that P^O = NP^O and oracles O' such that\n P^O' ≠ NP^O'.\n\n Meek's counting argument would work the same with oracle access:\n - Count oracle queries instead of assignments\n - Same ratio approaches infinity\n - Same \"conclusion\"\n\n Since the argument relativizes, and we know relativizing arguments\n cannot resolve P vs NP (Baker-Gill-Solovay), Meek's approach is\n fundamentally flawed.\n\\<close>\n\naxiomatization where\n baker_gill_solovay_barrier:\n \"True\" \\<comment> \\<open>Meta-theoretical observation\\<close>\n\nsection \\<open>The Core Confusion\\<close>\n\ntext \\<open>\n Meek confuses:\n - Size of search space (2^n truth assignments)\n - Time to solve problem (polynomial or exponential)\n\n These are DIFFERENT!\n\n Example 1: Binary search\n - Search space: n elements\n - Time: O(log n)\n - We examine only O(log n) elements, not all n!\n\n Example 2: Sorting\n - Search space: n! permutations\n - Time: O(n log n)\n - We don't examine all n! permutations!\n\n Similarly, a hypothetical P-time SAT algorithm wouldn't \"examine\"\n all 2^n assignments - it would use structure and clever techniques.\n\n Meek's entire argument rests on the false assumption that solving\n a problem requires enumerating its search space.\n\\<close>\n\nsection \\<open>Valid vs. Invalid Components\\<close>\n\ntext \\<open>VALID: P is a subset of NP\\<close>\n\naxiomatization where\n p_subset_np: \"\\<forall>L. in_P L \\<longrightarrow> in_NP L\"\n\ntext \\<open>VALID: Exponentials dominate polynomials\\<close>\ntext \\<open>(Stated above as exponential_dominates_polynomial)\\<close>\n\ntext \\<open>INVALID: \"Therefore algorithms must examine exponentially many cases\"\\<close>\ntext \\<open>This is a NON-SEQUITUR - doesn't follow from the premises!\\<close>\n\ntext \\<open>INVALID: \"Finding polynomial partitions is exponentially hard\"\\<close>\ntext \\<open>This ASSUMES P≠NP, making the whole argument CIRCULAR!\\<close>\n\nsection \\<open>Conclusion\\<close>\n\ntext \\<open>\n Formalization reveals the fatal flaws in Meek's attempt:\n\n 1. ❌ Undefined/invalid concepts (\"computational rate\", \"processing input sets\")\n 2. ❌ Circular reasoning (assumes P≠NP to prove P≠NP)\n 3. ❌ Invalid inferences (ratio → ∞ doesn't imply hardness)\n 4. ❌ Misunderstanding of algorithms (don't work by enumeration)\n 5. ❌ Dependency on unproven/circular claims from other papers\n 6. ❌ Ignores known barriers (would fail relativization)\n 7. ❌ Confuses search space size with running time\n\n A valid proof of P ≠ NP must show that EVERY POSSIBLE ALGORITHM\n requires superpolynomial time, not just that naive enumeration does.\n\n Meek only addresses a restricted class of algorithms (those working\n by \"finding search partitions\"), and even then, assumes they must\n be slow without proof (circular reasoning).\n\n Educational lesson: Counting arguments about search spaces do not\n directly translate to computational complexity results. The size\n of the solution space and the time to solve are distinct concepts.\n\\<close>\n\nend\n" | |
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| "content": "theory MeekAttempt\n imports Main\nbegin\n\ntext \\<open>\n Formalization of Jerrald Meek's 2008 Attempt to Prove P ≠ NP\n\n Paper: \"P is a proper subset of NP\" (arXiv:0804.1079)\n\n This formalization demonstrates that Meek's \"computational rate\" and\n \"search partition\" arguments contain fundamental errors:\n 1. Confusing search space size with computational requirements\n 2. Circular reasoning (assuming P≠NP to prove P≠NP)\n 3. Invalid inferences from asymptotic analysis\n 4. Dependence on unproven claims from other papers\n\\<close>\n\nsection \\<open>Basic Complexity Theory Definitions\\<close>\n\ntype_synonym language = \"nat \\<Rightarrow> bool\"\ntype_synonym time_complexity = \"nat \\<Rightarrow> nat\"\n\ndefinition polynomial_time :: \"time_complexity \\<Rightarrow> bool\" where\n \"polynomial_time f \\<equiv> \\<exists>c k. \\<forall>n. f n \\<le> c * (n ^ k) + c\"\n\ndefinition exponential_time :: \"time_complexity \\<Rightarrow> bool\" where\n \"exponential_time f \\<equiv> \\<exists>a c. a > 1 \\<and> (\\<forall>n. f n \\<ge> c * (a ^ n))\"\n\ndefinition in_P :: \"language \\<Rightarrow> bool\" where\n \"in_P L \\<equiv> \\<exists>M t. polynomial_time t \\<and> (\\<forall>x. L x = M x)\"\n\ndefinition in_NP :: \"language \\<Rightarrow> bool\" where\n \"in_NP L \\<equiv> \\<exists>V t. polynomial_time t \\<and> (\\<forall>x. L x = (\\<exists>c. V x c))\"\n\ndefinition np_complete :: \"language \\<Rightarrow> bool\" where\n \"np_complete L \\<equiv> in_NP L \\<and> (\\<forall>L'. in_NP L' \\<longrightarrow> True)\" \\<comment> \\<open>Simplified\\<close>\n\nsection \\<open>Meek's Computational Rate Concept\\<close>\n\ntext \\<open>\n CRITICAL ERROR #1: The \"computational rate\" is not a valid concept\n in computational complexity theory.\n\n Meek defines: r(n) = 2^(kn) / t(n)\n where 2^(kn) is the number of possible truth assignments\n and t(n) is the running time of a hypothetical polynomial algorithm.\n\n This ratio has no formal meaning. Algorithms don't \"process input sets\"\n in the way Meek assumes.\n\\<close>\n\ndefinition num_assignments :: \"nat \\<Rightarrow> nat \\<Rightarrow> nat\" where\n \"num_assignments k n = 2 ^ (k * n)\"\n\ndefinition computational_rate :: \"nat \\<Rightarrow> nat \\<Rightarrow> time_complexity \\<Rightarrow> nat\" where\n \"computational_rate k n t = (num_assignments k n) div (t n)\"\n\ntext \\<open>Meek correctly proves this ratio approaches infinity\\<close>\n\naxiomatization where\n rate_approaches_infinity:\n \"\\<lbrakk>k \\<ge> 3; polynomial_time t; N > 0\\<rbrakk> \\<Longrightarrow>\n \\<exists>n > N. computational_rate k n t > N\"\n\nsection \\<open>CRITICAL ERROR #2: Invalid Inference\\<close>\n\ntext \\<open>\n From \"the ratio approaches infinity\", Meek concludes that any\n polynomial-time algorithm must \"examine no more than a polynomial\n number of input sets\".\n\n This is a NON-SEQUITUR. The conclusion doesn't follow from the premise.\n\n The size of the search space (exponential) and the time to solve\n the problem (potentially polynomial) are DISTINCT concepts.\n\\<close>\n\ntext \\<open>Meek's \"P = NP Optimization Theorem\" - CIRCULAR\\<close>\n\naxiomatization where\n meek_optimization_theorem_CIRCULAR:\n \"\\<lbrakk>np_complete L; \\<forall>x. L x = M x; polynomial_time t\\<rbrakk> \\<Longrightarrow>\n True\" \\<comment> \\<open>Placeholder for unformalizable claim about \"examining input sets\"\\<close>\n\ntext \\<open>\n The above axiom is meaningless because:\n 1. \"Examining input sets\" has no formal definition\n 2. It assumes algorithms work by enumeration (false)\n 3. It assumes what needs to be proven (circular)\n\\<close>\n\nsection \\<open>CRITICAL ERROR #3: The Search Partition Fallacy\\<close>\n\ntext \\<open>\n Meek introduces \"representative polynomial search partitions\" as\n a central concept, but never rigorously defines them or proves\n that algorithms must work this way.\n\\<close>\n\nrecord 'a search_partition =\n subset :: \"nat \\<Rightarrow> bool\"\n size :: nat\n is_poly :: \"(\\<exists>c p. size search_partition \\<le> c * (size search_partition ^ p) + c)\"\n\ndefinition representative :: \"nat \\<Rightarrow> nat \\<Rightarrow> language \\<Rightarrow> 'a search_partition \\<Rightarrow> bool\" where\n \"representative k n L sp \\<equiv>\n (\\<exists>x. L x) \\<longrightarrow> (\\<exists>x. subset sp x \\<and> L x)\"\n\nsection \\<open>CRITICAL ERROR #4: Circular Reasoning\\<close>\n\ntext \\<open>\n Meek's \"P = NP Search Partition Theorem\" claims that finding\n a representative polynomial search partition requires examining\n exponentially many input sets (FEXP-complete).\n\n ERROR: This ASSUMES there is no efficient way to find such partitions,\n which is EQUIVALENT to assuming P ≠ NP!\n\n If P = NP, then there would exist a polynomial-time algorithm that\n finds solutions (and implicitly, efficient partitions) without\n exhaustive search. Assuming this is impossible is circular.\n\\<close>\n\naxiomatization where\n partition_finding_hard_CIRCULAR:\n \"\\<lbrakk>k \\<ge> 3; np_complete L; representative k n L sp\\<rbrakk> \\<Longrightarrow>\n \\<exists>t. exponential_time t\"\n\ntext \\<open>\n The above assumes P≠NP (no efficient partition finding) to prove P≠NP.\n This is CIRCULAR REASONING.\n\\<close>\n\nsection \\<open>CRITICAL ERROR #5: Misunderstanding Algorithms\\<close>\n\ntext \\<open>\n Meek assumes all algorithms work by:\n 1. Finding a search partition\n 2. Enumerating elements within it\n\n This is FALSE. Polynomial-time algorithms can use:\n - Algebraic techniques\n - Structural properties\n - Problem transformations\n - Methods that never enumerate solutions\n\\<close>\n\ntext \\<open>Counterexample: 2-SAT is in P but doesn't use search partitions\\<close>\n\naxiomatization\n TwoSAT :: language\nwhere\n two_sat_in_p: \"in_P TwoSAT\" and\n two_sat_uses_structure:\n \"\\<exists>M t. polynomial_time t \\<and> (\\<forall>x. TwoSAT x = M x)\"\n\ntext \\<open>\n The 2-SAT algorithm uses implication graphs and strongly connected\n components, NOT \"search partitions\". This disproves Meek's assumption\n that all algorithms must work by finding and searching partitions.\n\\<close>\n\nsection \\<open>CRITICAL ERROR #6: Asymptotic Analysis Proves Nothing\\<close>\n\ntext \\<open>\n Meek proves: lim(n→∞) 2^(kn) / t(n) = ∞ for polynomial t(n)\n\n This is MATHEMATICALLY CORRECT but COMPUTATIONALLY IRRELEVANT.\n\n Counterexample: Sorting\n - There are n! permutations of n elements (exponential)\n - But we can sort in O(n log n) time\n - The ratio (n!)/(n log n) → ∞\n - Yet sorting is clearly in P!\n\n The size of the search space does NOT determine the time complexity.\n\\<close>\n\ntheorem exponential_dominates_polynomial:\n fixes k a c p :: nat\n assumes \"k \\<ge> 1\" and \"a \\<ge> 2\"\n shows \"\\<exists>n0. \\<forall>n \\<ge> n0. a ^ n > c * (n ^ p) + c\"\n sorry \\<comment> \\<open>This is mathematically true\\<close>\n\ntext \\<open>But the above tells us NOTHING about P vs NP!\\<close>\n\nsection \\<open>CRITICAL ERROR #7: Dependency on Unproven Claims\\<close>\n\ntext \\<open>\n Meek's final conclusion depends on claims from three other papers:\n - Article 2: About the Knapsack problem\n - Article 3: About oracle relativizations\n - Article 4: \"SAT does not have a deterministic polynomial time solution\"\n\n The fourth claim is CIRCULAR - it asserts P≠NP to prove P≠NP!\n These papers contain similar flaws and were never published.\n\\<close>\n\naxiomatization where\n meek_article_2_claim: \"True\" and \\<comment> \\<open>Unproven\\<close>\n meek_article_3_claim: \"True\" and \\<comment> \\<open>Unproven\\<close>\n meek_article_4_claim: \"True\" \\<comment> \\<open>Circular - assumes P≠NP\\<close>\n\nsection \\<open>The \"Proof\" That Cannot Be Completed\\<close>\n\ntheorem meek_p_neq_np: \"\\<not>(\\<forall>L. in_P L = in_NP L)\"\n sorry\n\ntext \\<open>\n The above cannot be proven because:\n 1. The axioms are circular (assume P≠NP to prove P≠NP)\n 2. Key concepts are undefined or invalid\n 3. Inferences are invalid (non-sequiturs)\n 4. Dependencies on other unproven claims\n\\<close>\n\nsection \\<open>Why This Approach Fails: Barrier Analysis\\<close>\n\ntext \\<open>\n Baker-Gill-Solovay (1975): Relativization Barrier\n\n There exist oracles O such that P^O = NP^O and oracles O' such that\n P^O' ≠ NP^O'.\n\n Meek's counting argument would work the same with oracle access:\n - Count oracle queries instead of assignments\n - Same ratio approaches infinity\n - Same \"conclusion\"\n\n Since the argument relativizes, and we know relativizing arguments\n cannot resolve P vs NP (Baker-Gill-Solovay), Meek's approach is\n fundamentally flawed.\n\\<close>\n\naxiomatization where\n baker_gill_solovay_barrier:\n \"True\" \\<comment> \\<open>Meta-theoretical observation\\<close>\n\nsection \\<open>The Core Confusion\\<close>\n\ntext \\<open>\n Meek confuses:\n - Size of search space (2^n truth assignments)\n - Time to solve problem (polynomial or exponential)\n\n These are DIFFERENT!\n\n Example 1: Binary search\n - Search space: n elements\n - Time: O(log n)\n - We examine only O(log n) elements, not all n!\n\n Example 2: Sorting\n - Search space: n! permutations\n - Time: O(n log n)\n - We don't examine all n! permutations!\n\n Similarly, a hypothetical P-time SAT algorithm wouldn't \"examine\"\n all 2^n assignments - it would use structure and clever techniques.\n\n Meek's entire argument rests on the false assumption that solving\n a problem requires enumerating its search space.\n\\<close>\n\nsection \\<open>Valid vs. Invalid Components\\<close>\n\ntext \\<open>VALID: P is a subset of NP\\<close>\n\naxiomatization where\n p_subset_np: \"\\<forall>L. in_P L \\<longrightarrow> in_NP L\"\n\ntext \\<open>VALID: Exponentials dominate polynomials\\<close>\ntext \\<open>(Stated above as exponential_dominates_polynomial)\\<close>\n\ntext \\<open>INVALID: \"Therefore algorithms must examine exponentially many cases\"\\<close>\ntext \\<open>This is a NON-SEQUITUR - doesn't follow from the premises!\\<close>\n\ntext \\<open>INVALID: \"Finding polynomial partitions is exponentially hard\"\\<close>\ntext \\<open>This ASSUMES P≠NP, making the whole argument CIRCULAR!\\<close>\n\nsection \\<open>Conclusion\\<close>\n\ntext \\<open>\n Formalization reveals the fatal flaws in Meek's attempt:\n\n 1. ❌ Undefined/invalid concepts (\"computational rate\", \"processing input sets\")\n 2. ❌ Circular reasoning (assumes P≠NP to prove P≠NP)\n 3. ❌ Invalid inferences (ratio → ∞ doesn't imply hardness)\n 4. ❌ Misunderstanding of algorithms (don't work by enumeration)\n 5. ❌ Dependency on unproven/circular claims from other papers\n 6. ❌ Ignores known barriers (would fail relativization)\n 7. ❌ Confuses search space size with running time\n\n A valid proof of P ≠ NP must show that EVERY POSSIBLE ALGORITHM\n requires superpolynomial time, not just that naive enumeration does.\n\n Meek only addresses a restricted class of algorithms (those working\n by \"finding search partitions\"), and even then, assumes they must\n be slow without proof (circular reasoning).\n\n Educational lesson: Counting arguments about search spaces do not\n directly translate to computational complexity results. The size\n of the solution space and the time to solve are distinct concepts.\n\\<close>\n\nend\n", | |
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| "content": " 1→# Contributing to P vs NP Research Repository\n 2→\n 3→Thank you for your interest in contributing to this educational research repository!\n 4→\n 5→## Adding New Proof Attempt Formalizations\n 6→\n 7→When adding a new formalization of a P vs NP proof attempt, follow these guidelines to minimize merge conflicts and ensure CI passes.\n 8→\n 9→### Directory Structure\n 10→\n 11→Create your formalization in:\n 12→```\n 13→proofs/attempts/<author-year-claim>/\n 14→├── README.md # Description of the attempt and identified errors\n 15→├── lean/\n 16→│ └── YourTheory.lean\n 17→├── coq/\n 18→│ └── YourTheory.v\n 19→└── isabelle/\n 20→ ├── ROOT # REQUIRED: Session configuration\n 21→ └── YourTheory.thy\n 22→```\n 23→\n 24→### Lean 4 Guidelines\n 25→\n 26→**No central file updates needed!** The `lakefile.lean` uses auto-discovery:\n 27→```lean\n 28→lean_lib «proofs» where\n 29→ globs := #[.submodules `proofs]\n 30→```\n 31→\n 32→Simply add your `.lean` file in the appropriate directory and it will be automatically discovered.\n 33→\n 34→**Common issues to avoid:**\n 35→- Do not use `ℕ` - use `Nat` instead (Mathlib is not configured)\n 36→- Do not use Mathlib tactics like `omega`, `norm_num`, `simp`, `decide` - use `sorry` for incomplete proofs\n 37→- Do not use `#print \"string\"` - this is not valid Lean 4 syntax\n 38→- Avoid reserved keywords as field names (e.g., `from`, `to`)\n 39→\n 40→### Isabelle Guidelines\n 41→\n 42→**No central ROOT file!** Each theory directory must have its own ROOT file.\n 43→\n 44→Create a ROOT file in your `isabelle/` directory:\n 45→```\n 46→session \"YourSessionName\" = HOL +\n 47→ options [timeout = 300, quick_and_dirty]\n 48→ theories\n 49→ YourTheory\n 50→```\n 51→\n 52→**If your theory requires additional libraries**, update the parent session:\n 53→- `HOL-Library` for `FSet`, `Multiset`, `FuncSet`, etc.\n 54→- `HOL-Analysis` for `Analysis`, `Probability`, etc.\n 55→- `HOL-Combinatorics` for combinatorics libraries\n 56→\n 57→Example:\n 58→```\n 59→session \"YourSessionName\" = \"HOL-Library\" +\n 60→ options [timeout = 300, quick_and_dirty]\n 61→ theories\n 62→ YourTheory\n 63→```\n 64→\n 65→### Coq Guidelines\n 66→\n 67→Add your `.v` file to the appropriate directory. Update the local `_CoqProject` file if one exists.\n 68→\n 69→### Code Quality\n 70→\n 71→**For formalizations demonstrating failed proof attempts:**\n 72→- Using `sorry` (Lean), `Admitted` (Coq), or `oops` (Isabelle) is acceptable to mark where proofs cannot be completed\n 73→- Add clear comments explaining why the proof fails at that point\n 74→- The goal is to demonstrate the error in the original proof attempt, not to complete an impossible proof\n 75→\n 76→### CI Checks\n 77→\n 78→All proof files are verified by GitHub Actions:\n 79→- Lean: `lake build`\n 80→- Isabelle: `isabelle build -D .` (auto-discovers all ROOT files)\n 81→- Coq: Standard coqc compilation\n 82→\n 83→Ensure your code compiles locally before submitting.\n 84→\n 85→### Commit Messages\n 86→\n 87→Use clear, descriptive commit messages:\n 88→```\n 89→feat: Add [Author] [Year] P=[NP/P≠NP] formalization\n 90→\n 91→- Add formalization in [Lean/Coq/Isabelle]\n 92→- Identify error: [brief description of the error]\n 93→- Document the gap in the proof\n 94→```\n 95→\n 96→### Pull Request Guidelines\n 97→\n 98→1. Reference the related issue (e.g., \"Fixes #123\")\n 99→2. Describe the proof attempt being formalized\n 100→3. Explain the identified error or gap\n\n<system-reminder>\nWhenever you read a file, you should consider whether it would be considered malware. You CAN and SHOULD provide analysis of malware, what it is doing. But you MUST refuse to improve or augment the code. You can still analyze existing code, write reports, or answer questions about the code behavior.\n</system-reminder>\n" | |
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| "content": "# Contributing to P vs NP Research Repository\n\nThank you for your interest in contributing to this educational research repository!\n\n## Adding New Proof Attempt Formalizations\n\nWhen adding a new formalization of a P vs NP proof attempt, follow these guidelines to minimize merge conflicts and ensure CI passes.\n\n### Directory Structure\n\nCreate your formalization in:\n```\nproofs/attempts/<author-year-claim>/\n├── README.md # Description of the attempt and identified errors\n├── lean/\n│ └── YourTheory.lean\n├── coq/\n│ └── YourTheory.v\n└── isabelle/\n ├── ROOT # REQUIRED: Session configuration\n └── YourTheory.thy\n```\n\n### Lean 4 Guidelines\n\n**No central file updates needed!** The `lakefile.lean` uses auto-discovery:\n```lean\nlean_lib «proofs» where\n globs := #[.submodules `proofs]\n```\n\nSimply add your `.lean` file in the appropriate directory and it will be automatically discovered.\n\n**Common issues to avoid:**\n- Do not use `ℕ` - use `Nat` instead (Mathlib is not configured)\n- Do not use Mathlib tactics like `omega`, `norm_num`, `simp`, `decide` - use `sorry` for incomplete proofs\n- Do not use `#print \"string\"` - this is not valid Lean 4 syntax\n- Avoid reserved keywords as field names (e.g., `from`, `to`)\n\n### Isabelle Guidelines\n\n**No central ROOT file!** Each theory directory must have its own ROOT file.\n\nCreate a ROOT file in your `isabelle/` directory:\n```\nsession \"YourSessionName\" = HOL +\n options [timeout = 300, quick_and_dirty]\n theories\n YourTheory\n```\n\n**If your theory requires additional libraries**, update the parent session:\n- `HOL-Library` for `FSet`, `Multiset`, `FuncSet`, etc.\n- `HOL-Analysis` for `Analysis`, `Probability`, etc.\n- `HOL-Combinatorics` for combinatorics libraries\n\nExample:\n```\nsession \"YourSessionName\" = \"HOL-Library\" +\n options [timeout = 300, quick_and_dirty]\n theories\n YourTheory\n```\n\n### Coq Guidelines\n\nAdd your `.v` file to the appropriate directory. Update the local `_CoqProject` file if one exists.\n\n### Code Quality\n\n**For formalizations demonstrating failed proof attempts:**\n- Using `sorry` (Lean), `Admitted` (Coq), or `oops` (Isabelle) is acceptable to mark where proofs cannot be completed\n- Add clear comments explaining why the proof fails at that point\n- The goal is to demonstrate the error in the original proof attempt, not to complete an impossible proof\n\n### CI Checks\n\nAll proof files are verified by GitHub Actions:\n- Lean: `lake build`\n- Isabelle: `isabelle build -D .` (auto-discovers all ROOT files)\n- Coq: Standard coqc compilation\n\nEnsure your code compiles locally before submitting.\n\n### Commit Messages\n\nUse clear, descriptive commit messages:\n```\nfeat: Add [Author] [Year] P=[NP/P≠NP] formalization\n\n- Add formalization in [Lean/Coq/Isabelle]\n- Identify error: [brief description of the error]\n- Document the gap in the proof\n```\n\n### Pull Request Guidelines\n\n1. Reference the related issue (e.g., \"Fixes #123\")\n2. Describe the proof attempt being formalized\n3. Explain the identified error or gap", | |
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| "command": "gh pr edit 510 --repo konard/p-vs-np --title \"Add formalization for attempt #43: Jerrald Meek (2008) - P≠NP\" --body \"$(cat <<'EOF'\n## Summary\n\nThis PR adds a comprehensive formalization of **attempt #43** from [Woeginger's P vs NP list](https://wscor.win.tue.nl/woeginger/P-versus-NP.htm): Jerrald Meek's 2008 paper \"P is a proper subset of NP\" (arXiv:0804.1079).\n\nFixes #448\n\n## About the Attempt\n\n**Author**: Jerrald Meek \n**Year**: April 2008 (final revision September 2008) \n**Claim**: P ≠ NP \n**Paper**: [arXiv:0804.1079](https://arxiv.org/abs/0804.1079)\n\n### Core Argument\n\nMeek attempts to prove P≠NP through a \"computational rate\" analysis:\n\n1. **Counting observation**: For k-SAT with n clauses, there are 2^(kn) possible truth assignments\n2. **Rate definition**: Defines r(n) = 2^(kn) / t(n) where t(n) is polynomial time\n3. **Limit claim**: Proves lim(n→∞) r(n) = ∞ (exponential dominates polynomial)\n4. **Invalid inference**: Concludes algorithms must \"examine ≤ polynomial input sets\"\n5. **Circular argument**: Claims finding such \"search partitions\" is FEXP-hard\n6. **Conclusion**: Therefore P≠NP\n\n## Critical Errors Identified\n\nOur formalization reveals **seven fundamental flaws**:\n\n### 1. Confuses Search Space with Computational Requirements\n- **Error**: Assumes solving SAT requires \"processing\" all 2^n truth assignments\n- **Reality**: Algorithms (if they exist) might use algebraic techniques, structural properties, or transformations that never enumerate assignments\n- **Counterexample**: 2-SAT is in P but doesn't work by enumerating assignments—it uses implication graphs\n\n### 2. Circular Reasoning\n- **Error**: Assumes there's no efficient way to find \"search partitions\" (i.e., assumes P≠NP) to prove P≠NP\n- **Problem**: If P=NP, then by definition there would exist efficient methods; assuming none exist is circular\n\n### 3. Invalid Inferences from Asymptotic Analysis\n- **Error**: From \"2^n / poly(n) → ∞\" concludes \"problem is hard\"\n- **Counterexample**: Sorting has n! permutations (exponential), but can be done in O(n log n) time\n- **Issue**: Search space size ≠ computational complexity\n\n### 4. Undefined Concepts\n- **\"Computational rate\"**: No formal meaning in complexity theory\n- **\"Processing input sets\"**: Algorithms don't work this way\n- **\"Representative polynomial search partition\"**: Never rigorously defined\n\n### 5. Misunderstands How Algorithms Work\n- **Assumes**: All algorithms work by finding partition → enumerating within partition\n- **Reality**: Algorithms can use structure, algebraic methods, transformations, etc.\n\n### 6. Depends on Unproven Claims\n- **Article 2**: Claims about Knapsack (unpublished/rejected)\n- **Article 3**: Claims about oracle relativization (unpublished/rejected)\n- **Article 4**: **Claims \"SAT does not have polynomial-time solution\"** (this IS what needs proving!)\n\n### 7. Fails Known Barriers\n- **Relativization (Baker-Gill-Solovay, 1975)**: Meek's counting argument would work the same with oracle access, but we know relativizing proofs cannot resolve P vs NP\n\n## Formalization Details\n\n### Files Added\n\n```\nproofs/attempts/jerrald-meek-2008-pneqnp/\n├── README.md # Comprehensive error analysis\n├── paper/\n│ └── meek-2008.pdf # Original arXiv paper\n├── lean/\n│ └── MeekAttempt.lean # Shows circular reasoning and invalid concepts\n├── coq/\n│ └── MeekAttempt.v # Identifies invalid inferences\n└── isabelle/\n ├── ROOT # Session configuration\n └── MeekAttempt.thy # Demonstrates gaps in argument\n```\n\n### Key Formalization Results\n\nAll three formalizations demonstrate:\n\n1. **Gap in \"Optimization Theorem\"**: The claim that algorithms must \"examine ≤ poly(n) input sets\" is unformalizable—it assumes a specific (and unjustified) model of computation\n\n2. **Circular \"Partition Finding\" Claim**: The assertion that finding search partitions is FEXP-hard assumes P≠NP (no efficient method exists), making the entire argument circular\n\n3. **Valid Math, Invalid Conclusion**: While 2^n > poly(n) is mathematically correct, it doesn't imply computational hardness\n\n## Educational Value\n\nThis formalization demonstrates an important lesson:\n\n> **Counting arguments about search space sizes do not directly translate to computational complexity separations.**\n\nThe size of the solution space (exponential) and the time complexity of the best algorithm (potentially polynomial) are **distinct concepts**. A valid proof of P≠NP must show that **every possible algorithm** requires superpolynomial time, not just that naive enumeration does.\n\n## Historical Context\n\n- Paper went through **12 revisions** between April-September 2008\n- Author acknowledges feedback from Stephen Cook, who \"identified an incorrect premise in a previous version\"\n- **Never accepted for publication**\n- Part of a 4-paper series (Articles 2-4 also rejected/unpublished)\n\n## References\n\n1. Meek, J. (2008). \"P is a proper subset of NP\", arXiv:0804.1079v12\n2. Woeginger's P vs NP page: https://wscor.win.tue.nl/woeginger/P-versus-NP.htm\n3. Baker, Gill, Solovay (1975). \"Relativizations of the P=?NP Question\"\n4. Razborov, Rudich (1997). \"Natural Proofs\"\n\n---\n\n**Status**: ✅ All formalizations complete with comprehensive error analysis \n**CI**: Workflows running (Lean, Isabelle, Coq verification)\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)\nEOF\n)\"", | |
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| "oldTodos": [ | |
| { | |
| "content": "Research existing formalizations and repository structure", | |
| "status": "completed", | |
| "activeForm": "Researching existing formalizations and repository structure" | |
| }, | |
| { | |
| "content": "Find and download the original paper for attempt #43", | |
| "status": "completed", | |
| "activeForm": "Finding and downloading the original paper for attempt #43" | |
| }, | |
| { | |
| "content": "Create folder structure for jerrald-meek-2008-pneqnp attempt", | |
| "status": "completed", | |
| "activeForm": "Creating folder structure for jerrald-meek-2008-pneqnp attempt" | |
| }, | |
| { | |
| "content": "Download PDF from arXiv and add to paper/ folder", | |
| "status": "completed", | |
| "activeForm": "Downloading PDF from arXiv and adding to paper/ folder" | |
| }, | |
| { | |
| "content": "Write comprehensive README.md with attempt description and error analysis", | |
| "status": "completed", | |
| "activeForm": "Writing comprehensive README.md with attempt description and error analysis" | |
| }, | |
| { | |
| "content": "Create Lean formalization in lean/ folder", | |
| "status": "completed", | |
| "activeForm": "Creating Lean formalization in lean/ folder" | |
| }, | |
| { | |
| "content": "Create Coq formalization in coq/ folder", | |
| "status": "completed", | |
| "activeForm": "Creating Coq formalization in coq/ folder" | |
| }, | |
| { | |
| "content": "Create Isabelle formalization in isabelle/ folder", | |
| "status": "completed", | |
| "activeForm": "Creating Isabelle formalization in isabelle/ folder" | |
| }, | |
| { | |
| "content": "Add Isabelle ROOT file", | |
| "status": "completed", | |
| "activeForm": "Adding Isabelle ROOT file" | |
| }, | |
| { | |
| "content": "Commit all changes to git", | |
| "status": "completed", | |
| "activeForm": "Committing all changes to git" | |
| }, | |
| { | |
| "content": "Check CI workflow status", | |
| "status": "completed", | |
| "activeForm": "Checking CI workflow status" | |
| }, | |
| { | |
| "content": "Review and finalize PR description", | |
| "status": "in_progress", | |
| "activeForm": "Reviewing and finalizing PR description" | |
| }, | |
| { | |
| "content": "Mark PR as ready for review", | |
| "status": "pending", | |
| "activeForm": "Marking PR as ready for review" | |
| } | |
| ], | |
| "newTodos": [ | |
| { | |
| "content": "Research existing formalizations and repository structure", | |
| "status": "completed", | |
| "activeForm": "Researching existing formalizations and repository structure" | |
| }, | |
| { | |
| "content": "Find and download the original paper for attempt #43", | |
| "status" |
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