commit 8d0ed726f6c4b41847e16603556b64e3d7482bda parent c83477982174d7a2e8f28ff283b3710b64dc5707 Author: Brian Graham <brian@buildingbetterteams.de> Date: Sat, 4 Apr 2026 07:06:39 +0200 Clean 26 more bad runs (timeouts + null cost), 67 good remain Most sonnet runs hit the 600s timeout. May need higher timeout for larger models. 54 haiku, 10 sonnet, 3 opus remain. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> Diffstat:
183 files changed, 0 insertions(+), 28001 deletions(-)
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{"run_id":"tetris_context_file=provided_effort=high_human_language=en_language=typescript_linter=on_max_budget=high_model=haiku_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2","task":"tetris","model":"haiku","cell_id":"tetris_context_file=provided_effort=high_human_language=en_language=typescript_linter=on_max_budget=high_model=haiku_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on","completed_at":"2026-04-03T18:49:48.529132+00:00"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019ggpJ4WMFXaCfgrvkDr3R4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in a browser using JavaScript. I'll create a complete, self-contained HTML file with all the Tetris mechanics. Let me plan the implementation:\n\n1. **Game Board**: 10x20 grid (standard Tetris)\n2. **Pieces (Tetrominoes)**: I, O, T, S, Z, J, L pieces\n3. **Mechanics**:\n - Piece rotation (with wall kicks)\n - Line clearing\n - Scoring (standard Tetris scoring)\n - Increasing speed (faster as levels increase)\n\n\n4. **Controls**: Arrow keys for movement and rotation, space for hard drop\n5. **Features**: Next piece preview, score/level/lines display, game over screen, start/pause functionality\n\nNow I'm building the complete HTML file with a dark background, colorful pieces, clean UI, and ghost piece visualization.\n\nI'm defining the standard Tetris pieces with their colors and shapes, then setting up the scoring system where clearing lines gives points multiplied by the current level, with speed increasing every 10 lines cleared.\n\nWriting the game implementation... Writing the full Tetris implementation... Still writing styles... Writing the sidebar panels... Writing the Tetris game code... I'm refining the architecture—I'll use a single numeric grid where each cell stores a color index, with the current piece tracking its shape, position, and color separately. My implementation will handle rotation with wall kicks for collision recovery, use requestAnimationFrame for smooth gameplay, calculate ghost pieces to show where pieces will land, clear completed lines and drop remaining rows, and apply standard Tetris scoring with difficulty increasing every 10 lines.\n\nWriting the complete implementation...\n\nImplementing rotation and collision detection logic...\n\nNow I'm thinking about wall kicks—those offset adjustments that let pieces slide into position when they'd normally collide. I could use the standard SRS (Super Rotation System) kicks with different patterns for I-pieces versus other pieces, but for a simpler implementation I'll just stick with basic rotation without the fancy kick mechanics.\n\nLet me put together the complete HTML file now with all the features: a dark neon-styled interface, ghost piece preview, hold and next piece displays, score tracking, smooth animations, start and game over screens, pause functionality, and full keyboard controls.\n\nWriting the complete Tetris game... Writing game mechanics... Defining the piece shapes... Writing the complete HTML and CSS... Still writing styles... Still writing styles... Building the Tetris game interface... Building the game interface... Defining the piece shapes and colors... Still writing game constants... Setting up the game state variables to track the board, current and next pieces, score, level, and game status, then defining a piece factory function that creates tetromino objects with their shape, color, and starting position...\n\nFinishing the piece creation logic and adding a random piece generator, then implementing a matrix rotation function that handles piece rotations by transposing and flipping the shape array.\n\nNow I'm working on the rotation handler that takes a piece and applies either clockwise or counterclockwise rotation...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_inpu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b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": true, - "note": "not applicable for javascript" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.67 - }, - "score": 0.335 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "javascript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:51:19.975466+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:01:22.960435+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "javascript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse JavaScript (no TypeScript)."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-u95nhqka","session_id":"2dc2e6b6-f2ad-488a-bed7-8174206a4b94","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"545833fd-6c5c-45d0-8344-8472a202ecf2","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019ggpJ4WMFXaCfgrvkDr3R4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in a browser using JavaScript. I'll create a complete, self-contained HTML file with all the Tetris mechanics. Let me plan the implementation:\n\n1. **Game Board**: 10x20 grid (standard Tetris)\n2. **Pieces (Tetrominoes)**: I, O, T, S, Z, J, L pieces\n3. **Mechanics**:\n - Piece rotation (with wall kicks)\n - Line clearing\n - Scoring (standard Tetris scoring)\n - Increasing speed (faster as levels increase)\n\n\n4. **Controls**: Arrow keys for movement and rotation, space for hard drop\n5. **Features**: Next piece preview, score/level/lines display, game over screen, start/pause functionality\n\nNow I'm building the complete HTML file with a dark background, colorful pieces, clean UI, and ghost piece visualization.\n\nI'm defining the standard Tetris pieces with their colors and shapes, then setting up the scoring system where clearing lines gives points multiplied by the current level, with speed increasing every 10 lines cleared.\n\nWriting the game implementation... Writing the full Tetris implementation... Still writing styles... Writing the sidebar panels... Writing the Tetris game code... I'm refining the architecture—I'll use a single numeric grid where each cell stores a color index, with the current piece tracking its shape, position, and color separately. My implementation will handle rotation with wall kicks for collision recovery, use requestAnimationFrame for smooth gameplay, calculate ghost pieces to show where pieces will land, clear completed lines and drop remaining rows, and apply standard Tetris scoring with difficulty increasing every 10 lines.\n\nWriting the complete implementation...\n\nImplementing rotation and collision detection logic...\n\nNow I'm thinking about wall kicks—those offset adjustments that let pieces slide into position when they'd normally collide. I could use the standard SRS (Super Rotation System) kicks with different patterns for I-pieces versus other pieces, but for a simpler implementation I'll just stick with basic rotation without the fancy kick mechanics.\n\nLet me put together the complete HTML file now with all the features: a dark neon-styled interface, ghost piece preview, hold and next piece displays, score tracking, smooth animations, start and game over screens, pause functionality, and full keyboard controls.\n\nWriting the complete Tetris game... Writing game mechanics... Defining the piece shapes... Writing the complete HTML and CSS... Still writing styles... Still writing styles... Building the Tetris game interface... Building the game interface... Defining the piece shapes and colors... Still writing game constants... Setting up the game state variables to track the board, current and next pieces, score, level, and game status, then defining a piece factory function that creates tetromino objects with their shape, color, and starting position...\n\nFinishing the piece creation logic and adding a random piece generator, then implementing a matrix rotation function that handles piece rotations by transposing and flipping the shape array.\n\nNow I'm working on the rotation handler that takes a piece and applies either clockwise or counterclockwise rotation...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":489,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":489,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"2dc2e6b6-f2ad-488a-bed7-8174206a4b94","uuid":"3361bb39-9470-4779-86a7-3add7f1e7a35"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01D2B8Phib5F9AcPnPJWkMkr","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using JavaScript (no TypeScript). Let me build a complete, well-crafted Tetris game with all standard mechanics.\n\nLet me plan the structure:\n1. A single HTML file with embedded CSS and JavaScript (or separate files)\n2. Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n3. Game mechanics:\n - Piece rotation\n - Line clearing\n - Scoring (standard Tetris scoring)\n - Increasing speed (levels)\n4. Keyboard controls:\n - Arrow Left/Right: move\n - Arrow Down: soft drop\n - Arrow Up or Z: rotate\n - Space: hard drop\n - P: pause\n\nI'll create a single HTML file with embedded CSS and JavaScript, using a canvas element for rendering. I'm setting up the standard tetrominoes with their classic colors (cyan I-piece, yellow O-piece, purple T-piece, green S-piece, red Z-piece, blue J-piece, orange L-piece) and implementing the Nintendo scoring system where single lines earn 100 points per level, two lines earn 300 points, and so on.\n\nThe board will be the standard 10×20 grid, with the difficulty increasing every 10 lines cleared and the drop speed accelerating with each level. I'm building a self-contained HTML file with the game canvas, sidebar for displaying score and level information, and all the game logic embedded.\n\nWriting the HTML structure and styles... Defining the game constants and piece data... Defining the tetromino shapes...\n\nNow I'm planning out the game architecture—I'll use requestAnimationFrame with timestamp-based timing to handle the drop interval, and I need to track the board state, current and next pieces, score, level, and game status. The input system will listen for arrow keys and other controls to move and rotate pieces.\n\nBuilding the complete implementation... Still writing styles... Building the game layout... Setting up the game constants and piece definitions...\n\nI need to be more careful about the standard Tetris tetrominoes and their shapes. Let me define each piece properly with their correct orientations - the I piece as a 4-wide horizontal line, the O piece as a 2x2 square, and the T, S, Z, J, and L pieces all fitting into 3x3 grids with their characteristic shapes.\n\nDefining the piece data structure... Finishing the tetromino definitions and implementing rotation logic... I need to handle wall kicks for rotation—for now I'll keep it simple and just push the piece back in bounds horizontally if it goes out of bounds after rotating, but skip the rotation entirely if it would overlap with existing blocks vertically. Now I'm thinking through the spawn positions: for standard 3x3 pieces on a 10-wide board, that'd be column 3, and the I piece at column 3 as well, both starting just above the visible area. Looking at the actual piece layouts, most of the 3x3 pieces have blocks in their top row, so they should all spawn at y = 0 to keep them visible at the top of the board. the piece already has blocks in row 0, so spawn at y = 0 or y = -1.\n\nActually in standard Tetris (Tetris Guideline), pieces spawn with the top of their bounding box at row 21 of a 22-row visible field. But this gets complicated. Let me just spawn at y = 0 and the piece will appear at the top.\n\nActually, the most natural approach: spawn at y = -1 for all pieces. This way, when they first appear, they're partially above the board, which is fine.\n\nOr even simpler: spawn at y = 0. If the piece has empty rows at the top (like I piece), those rows just won't be visible but that's ok since they're above the board.\n\nLet me go with spawn at y = 0 for simplicity. The game will look fine.\n\nFor the I piece specifically, if I spawn at y = 0, the empty rows at the top map to board row 0, and the actual blocks appear on row 1. That works fine. But it'd be cleaner if the first visible row of any piece aligns with board row 0, so I need to calculate the offset based on where the piece's blocks actually start.\n\nCalculating spawn Y... I'm settling on a simpler spawn strategy where all pieces have their topmost occupied cell aligned to row 0, which means the I piece needs a y offset of -1 while the others spawn at y = 0. Now I'm writing a helper function to calculate the correct spawn position based on each piece's shape.\n\nWriting the game structure... Writing the complete game implementation... I'm settling on a simple formula for drop speed that caps out at 100ms per level, then moving forward with a single HTML file for easy deployment. Now I need to implement the ghost piece to show where the current tetromino will land, and add wall kick logic during rotation so pieces can shift slightly left or right if they'd otherwise collide.\n\nBuilding the complete file with a dark theme...\n\nNow I'm designing the visual style with a dark background and grid, giving each tetromino its own color with a 3D effect using highlights and shadows on the blocks.\n\nWriting the block rendering code... Setting up the game constants, piece definitions, board state, and game variables...\n\nNow I'm organizing the core game functions—collision detection, piece placement, line clearing, and score management—along with rotation and movement handlers, then the rendering functions to draw the board, pieces, and ghost piece.\n\nFinishing up the rendering pipeline with the next queue, hold piece display, UI elements, and game overlay, then implementing the main game loop, start/pause/game over states, and keyboard input handling.\n\nI'm going to implement this as a complete single-file HTML game, and I want to add the 7-bag random system so all pieces appear once before the sequence repeats—that's the standard modern Tetris approach.\n\nImplementing the bag system...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": true, - "note": "not applicable for javascript" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.67 - }, - "score": 0.335 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "javascript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:51:33.883173+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:01:38.211194+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "javascript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse JavaScript (no TypeScript)."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-dpqltrq1","session_id":"b109abb4-4b47-4dbf-8552-6a86ddbf0005","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"d45f6d70-e4c2-424d-9626-2c6c943ebd4b","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01D2B8Phib5F9AcPnPJWkMkr","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using JavaScript (no TypeScript). Let me build a complete, well-crafted Tetris game with all standard mechanics.\n\nLet me plan the structure:\n1. A single HTML file with embedded CSS and JavaScript (or separate files)\n2. Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n3. Game mechanics:\n - Piece rotation\n - Line clearing\n - Scoring (standard Tetris scoring)\n - Increasing speed (levels)\n4. Keyboard controls:\n - Arrow Left/Right: move\n - Arrow Down: soft drop\n - Arrow Up or Z: rotate\n - Space: hard drop\n - P: pause\n\nI'll create a single HTML file with embedded CSS and JavaScript, using a canvas element for rendering. I'm setting up the standard tetrominoes with their classic colors (cyan I-piece, yellow O-piece, purple T-piece, green S-piece, red Z-piece, blue J-piece, orange L-piece) and implementing the Nintendo scoring system where single lines earn 100 points per level, two lines earn 300 points, and so on.\n\nThe board will be the standard 10×20 grid, with the difficulty increasing every 10 lines cleared and the drop speed accelerating with each level. I'm building a self-contained HTML file with the game canvas, sidebar for displaying score and level information, and all the game logic embedded.\n\nWriting the HTML structure and styles... Defining the game constants and piece data... Defining the tetromino shapes...\n\nNow I'm planning out the game architecture—I'll use requestAnimationFrame with timestamp-based timing to handle the drop interval, and I need to track the board state, current and next pieces, score, level, and game status. The input system will listen for arrow keys and other controls to move and rotate pieces.\n\nBuilding the complete implementation... Still writing styles... Building the game layout... Setting up the game constants and piece definitions...\n\nI need to be more careful about the standard Tetris tetrominoes and their shapes. Let me define each piece properly with their correct orientations - the I piece as a 4-wide horizontal line, the O piece as a 2x2 square, and the T, S, Z, J, and L pieces all fitting into 3x3 grids with their characteristic shapes.\n\nDefining the piece data structure... Finishing the tetromino definitions and implementing rotation logic... I need to handle wall kicks for rotation—for now I'll keep it simple and just push the piece back in bounds horizontally if it goes out of bounds after rotating, but skip the rotation entirely if it would overlap with existing blocks vertically. Now I'm thinking through the spawn positions: for standard 3x3 pieces on a 10-wide board, that'd be column 3, and the I piece at column 3 as well, both starting just above the visible area. Looking at the actual piece layouts, most of the 3x3 pieces have blocks in their top row, so they should all spawn at y = 0 to keep them visible at the top of the board. the piece already has blocks in row 0, so spawn at y = 0 or y = -1.\n\nActually in standard Tetris (Tetris Guideline), pieces spawn with the top of their bounding box at row 21 of a 22-row visible field. But this gets complicated. Let me just spawn at y = 0 and the piece will appear at the top.\n\nActually, the most natural approach: spawn at y = -1 for all pieces. This way, when they first appear, they're partially above the board, which is fine.\n\nOr even simpler: spawn at y = 0. If the piece has empty rows at the top (like I piece), those rows just won't be visible but that's ok since they're above the board.\n\nLet me go with spawn at y = 0 for simplicity. The game will look fine.\n\nFor the I piece specifically, if I spawn at y = 0, the empty rows at the top map to board row 0, and the actual blocks appear on row 1. That works fine. But it'd be cleaner if the first visible row of any piece aligns with board row 0, so I need to calculate the offset based on where the piece's blocks actually start.\n\nCalculating spawn Y... I'm settling on a simpler spawn strategy where all pieces have their topmost occupied cell aligned to row 0, which means the I piece needs a y offset of -1 while the others spawn at y = 0. Now I'm writing a helper function to calculate the correct spawn position based on each piece's shape.\n\nWriting the game structure... Writing the complete game implementation... I'm settling on a simple formula for drop speed that caps out at 100ms per level, then moving forward with a single HTML file for easy deployment. Now I need to implement the ghost piece to show where the current tetromino will land, and add wall kick logic during rotation so pieces can shift slightly left or right if they'd otherwise collide.\n\nBuilding the complete file with a dark theme...\n\nNow I'm designing the visual style with a dark background and grid, giving each tetromino its own color with a 3D effect using highlights and shadows on the blocks.\n\nWriting the block rendering code... Setting up the game constants, piece definitions, board state, and game variables...\n\nNow I'm organizing the core game functions—collision detection, piece placement, line clearing, and score management—along with rotation and movement handlers, then the rendering functions to draw the board, pieces, and ghost piece.\n\nFinishing up the rendering pipeline with the next queue, hold piece display, UI elements, and game overlay, then implementing the main game loop, start/pause/game over states, and keyboard input handling.\n\nI'm going to implement this as a complete single-file HTML game, and I want to add the 7-bag random system so all pieces appear once before the sequence repeats—that's the standard modern Tetris approach.\n\nImplementing the bag system...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":489,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":489,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"b109abb4-4b47-4dbf-8552-6a86ddbf0005","uuid":"5d0db8a9-7548-4b68-9a7e-1cc14d72f030"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UDC9qFoVstyZxA7EZH3uiX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using JavaScript (no TypeScript). Let me build a complete, well-structured Tetris game with all the standard mechanics:\n\n1. All 7 Tetrimino pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls\n\nLet me create an HTML file with embedded CSS and JavaScript.\n\nKey features to implement:\n- Canvas-based rendering\n- All 7 tetrominoes with their standard colors\n- Wall kick / collision detection\n\n\n- Line clearing with animation\n- Scoring (standard Tetris scoring)\n- Level progression (speed increases)\n- Ghost piece (shows where piece will land)\n- Next piece preview\n- Hold piece\n- Game over detection\n- Start/pause functionality\n\nI'm setting up the scoring system where single lines earn 100 points per level, doubles are 300, triples are 500, and a full Tetris is worth 800 per level. Every 10 cleared lines advances the level, and the drop speed starts around 800ms then accelerates as difficulty increases. Now I'm writing the complete game code.\n\nDefining the Tetris pieces... Writing the Tetris game code... Defining the tetromino piece shapes... I'm realizing the hardcoded rotation arrays are getting unwieldy, so I'll switch to computing rotations dynamically instead. I can use a standard rotation matrix approach—either the transpose-and-reverse-rows method or the direct formula—to generate rotations on the fly from a single base shape definition.\n\nBuilding the complete Tetris game now... Still writing styles... Still writing styles... Building the game layout... Writing the game logic... Compiling the wall kick offsets for the I piece across all rotation transitions...\n\nNow I'm verifying the coordinate system—the standard SRS implementation uses column and row offsets where rightward movement is positive on the x-axis and downward is positive on the y-axis. I'm getting tangled up in the coordinate system conversion here. Let me step back and just reference the standard SRS implementation directly rather than trying to manually convert each value—that's where the confusion is creeping in. Defining rotation offsets for the I piece...\n\nActually, I'm going to simplify this and just implement basic rotation kicks—trying offsets like (0,0), (-1,0), (+1,0), (0,-1), (0,1) should handle most cases and keep the game playable without getting bogged down in the full SRS specification. But you know what, let me just go ahead and implement the complete SRS kick tables properly.\n\nDefining wall kick tables... Defining rotation offsets for the I-piece...\n\nNow I'm reconsidering the rotation system more carefully. The states cycle through 0 (spawn), 1 (90° clockwise), 2 (180°), and 3 (270° clockwise), and I need to map out which kick table applies to each transition between these states.\n\nFor clockwise rotations, the state advances by 1 modulo 4, and for counterclockwise, it goes back by 1 (or forward by 3 modulo 4). I can calculate the kick table index directly from the current rotation state and direction using the formula `r*2 + (dir==CW ? 0 : 1)`, which gives me the right index for each of the eight possible transitions. Wait, the formula doesn't work for the CCW case at r=0. Let me try a different approach—I'll use a lookup table that maps each rotation pair directly to its index, then access it by constructing a string key from the source and destination rotations. I need to look up the actual SRS wall kick data from the official Tetris Guideline to make sure I'm implementing this correctly. Let me check the standard kick offsets for each rotation state transition.\n\nNow I'm converting these coordinates from the standard SRS format—where x increases rightward and y increases upward—into my grid system where columns increase right but rows increase downward, so I need to negate the y values. Defining rotation offsets for the I piece...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": true, - "note": "not applicable for javascript" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.67 - }, - "score": 0.335 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "javascript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:52:17.428494+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:02:20.474376+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=javascript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "javascript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse JavaScript (no TypeScript)."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-tz0nkerr","session_id":"d54912b4-0b0e-4ea1-9489-c289443e706e","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"bb214b81-1c27-4d6e-938a-4cf95c7ee4b7","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01UDC9qFoVstyZxA7EZH3uiX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using JavaScript (no TypeScript). Let me build a complete, well-structured Tetris game with all the standard mechanics:\n\n1. All 7 Tetrimino pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls\n\nLet me create an HTML file with embedded CSS and JavaScript.\n\nKey features to implement:\n- Canvas-based rendering\n- All 7 tetrominoes with their standard colors\n- Wall kick / collision detection\n\n\n- Line clearing with animation\n- Scoring (standard Tetris scoring)\n- Level progression (speed increases)\n- Ghost piece (shows where piece will land)\n- Next piece preview\n- Hold piece\n- Game over detection\n- Start/pause functionality\n\nI'm setting up the scoring system where single lines earn 100 points per level, doubles are 300, triples are 500, and a full Tetris is worth 800 per level. Every 10 cleared lines advances the level, and the drop speed starts around 800ms then accelerates as difficulty increases. Now I'm writing the complete game code.\n\nDefining the Tetris pieces... Writing the Tetris game code... Defining the tetromino piece shapes... I'm realizing the hardcoded rotation arrays are getting unwieldy, so I'll switch to computing rotations dynamically instead. I can use a standard rotation matrix approach—either the transpose-and-reverse-rows method or the direct formula—to generate rotations on the fly from a single base shape definition.\n\nBuilding the complete Tetris game now... Still writing styles... Still writing styles... Building the game layout... Writing the game logic... Compiling the wall kick offsets for the I piece across all rotation transitions...\n\nNow I'm verifying the coordinate system—the standard SRS implementation uses column and row offsets where rightward movement is positive on the x-axis and downward is positive on the y-axis. I'm getting tangled up in the coordinate system conversion here. Let me step back and just reference the standard SRS implementation directly rather than trying to manually convert each value—that's where the confusion is creeping in. Defining rotation offsets for the I piece...\n\nActually, I'm going to simplify this and just implement basic rotation kicks—trying offsets like (0,0), (-1,0), (+1,0), (0,-1), (0,1) should handle most cases and keep the game playable without getting bogged down in the full SRS specification. But you know what, let me just go ahead and implement the complete SRS kick tables properly.\n\nDefining wall kick tables... Defining rotation offsets for the I-piece...\n\nNow I'm reconsidering the rotation system more carefully. The states cycle through 0 (spawn), 1 (90° clockwise), 2 (180°), and 3 (270° clockwise), and I need to map out which kick table applies to each transition between these states.\n\nFor clockwise rotations, the state advances by 1 modulo 4, and for counterclockwise, it goes back by 1 (or forward by 3 modulo 4). I can calculate the kick table index directly from the current rotation state and direction using the formula `r*2 + (dir==CW ? 0 : 1)`, which gives me the right index for each of the eight possible transitions. Wait, the formula doesn't work for the CCW case at r=0. Let me try a different approach—I'll use a lookup table that maps each rotation pair directly to its index, then access it by constructing a string key from the source and destination rotations. I need to look up the actual SRS wall kick data from the official Tetris Guideline to make sure I'm implementing this correctly. Let me check the standard kick offsets for each rotation state transition.\n\nNow I'm converting these coordinates from the standard SRS format—where x increases rightward and y increases upward—into my grid system where columns increase right but rows increase downward, so I need to negate the y values. Defining rotation offsets for the I piece...","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01X7TVsdpL7ea6WEBRx6BR2x","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Good. I have TypeScript available. Let me set up a complete Tetris game. I'll use a simple approach with TypeScript compiled to JavaScript. Let me create the following files:\n\n1. `index.html` - The game's HTML\n2. `src/tetris.ts` - The game logic in TypeScript\n3. `tsconfig.json` - TypeScript configuration\n\nSince I need to compile TypeScript to JavaScript, I'll set up the tsconfig to output to a `dist` folder. I'll also update the package.json to add a build script.\n\nLet me design a full-featured Tetris game:\n\n\n- Standard 10×20 board with the seven classic tetrominoes (I, O, T, S, Z, J, L) in their traditional colors\n- Keyboard controls for movement, rotation, dropping, and piece holding\n- Scoring system with line clears multiplied by level, plus bonuses for soft and hard drops\n- Level increases every 10 lines cleared with corresponding speed increases\n\nNow I'm setting up the TypeScript implementation with game constants and tetromino shape definitions...\n\nImplementing core game mechanics... Setting up the SRS kick tables...\n\nI need to be careful about the coordinate system—in Tetris, x goes right and y goes down on screen, but SRS data is often defined with y pointing upward. Let me translate the standard kick offsets into screen coordinates where y increases downward, then implement the rotation logic for each piece type.\n\nDefining kick data... Defining the wall kick offsets for the I-piece... Continuing to work through the rotation offset tables for the other piece types in screen coordinates, mapping out all the transition states. Now I'm finishing up those wall kick offset tables and ready to build out the complete game implementation. I'll set up the project structure with HTML, TypeScript, and configuration files, then write the core game logic including board management, piece mechanics, collision detection, and the rendering system.\n\nWriting game code... Defining the rotation states for the remaining Tetris pieces... Defining the tetromino rotations... I'm finalizing the tetromino rotation states and then moving on to build out the complete game implementation with all the features—dark theme, ghost piece, next piece preview, hold functionality, wall kicks, score tracking with localStorage, pause and game over screens.\n\nWriting the game class... Now I'm working out the scoring system—single lines are worth 100 points per level, doubles 300, triples 500, and a full Tetris gets 800, with soft and hard drops adding bonus points per cell. For progression, I'll calculate the level based on lines cleared using a simple formula, and the drop speed will accelerate using the standard Tetris guideline curve to make the game progressively harder.\n\nI'm going with a simpler linear drop speed formula for clarity rather than the exponential one. I also need to implement the 7-bag randomizer system to ensure balanced piece distribution—each bag contains one of each piece type shuffled randomly so players never go too long without getting a specific piece.\n\nImplementing the game logic now...\n\nI should also add lock delay mechanics so pieces don't instantly lock when they hit the bottom, giving players about 500ms to adjust their placement. I'll cap the number of moves before lock at 15 to prevent infinite spinning. For the visual design, I'm going with a dark theme, gradient-shaded pieces, grid lines, and a side panel showing the score, next piece preview, and hold piece. The board will be 300px wide and 600px tall with a 160px side panel.\n\nWriting the complete TypeScript implementation... Defining the piece shapes... Defining the rotation states for the remaining Tetris pieces... Defining the rotation states for the J and L pieces... Defining wall kick data for different piece rotations... Finishing the wall kick data structure... Now I need to verify this against the official Tetris Guideline specifications, since the coordinate system matters—right is positive for columns, up is positive for 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":361,"cache_read_input_tokens":5271,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"bbfe5c0c-442e-4172-a5a7-98220fa3cd2f","uuid":"31037a67-0485-4bea-af6b-397b54509dde"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "off", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:21:32.857114+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:31:35.705261+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,10 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-s5qf4111","session_id":"bbfe5c0c-442e-4172-a5a7-98220fa3cd2f","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"7598095e-fd77-4e0c-b3a8-088dc1f45144","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01VhApR5CvWMrp4xDrFZhPQ2","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - TypeScript source\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript config\n\nActually, to keep it simple and self-contained, I could write vanilla TypeScript that compiles to a single JS file. Let me create a complete Tetris game.\n\n\nI need to implement the core game mechanics: a 10x20 grid board, all seven tetromino shapes with rotation logic, line clearing with scoring, progressive difficulty, keyboard controls for movement and hard drops, a next piece preview, and game over detection. I'll organize this with HTML for the UI, TypeScript for the game logic, and set up the build configuration.\n\nWriting the game code... Defining the tetromino shapes...\n\nNow I'm planning out the full project structure—I'll need an HTML file for the canvas and UI, a TypeScript file with the core game logic, and configuration files for the build. I'm thinking of using TypeScript directly with `tsc` for compilation rather than a bundler to keep things simple, outputting everything to a `dist` folder.\n\nWriting the HTML and TypeScript implementation... Writing the complete implementation... Writing the Tetris implementation... Defining the tetromino shapes... Defining the rotation states for J and L pieces, then setting up the wall kick data structure for handling piece collisions during rotation... Defining wall kick data for different piece rotations... I'm reconsidering the wall kick implementation—the SRS specification uses (x, y) offsets where x is the column shift and y represents vertical movement, but I need to be careful about the coordinate system since grid indexing has y increasing downward while standard math has it increasing upward. When applying a kick, I'd adjust the column by the x offset and the row by the negative of the y offset to account for this difference. Actually, I think I'll simplify this and use a more straightforward rotation system with basic wall kicks—pushing left, right, or down—rather than implementing the full SRS table, which should still provide solid gameplay without the added complexity.\n\nDefining the wall kick data... I'm settling on a clean file structure with separate sections for constants, types, piece data, and the main game classes. I need to be careful about the SRS wall kick coordinate system—I'll define kicks as `[dcol, drow]` where positive values mean right and down respectively, matching screen coordinates rather than mathematical ones. I'm verifying the complete rotation offset table for JLSTZ pieces, mapping out all the transitions between the four rotation states to ensure the wall kick data is consistent and correct. I'm getting tangled up in the coordinate system conversions. Let me reconsider how the SRS offsets work—when the table specifies an offset with +y pointing up, I need to convert that to array indices where +y points down, so a positive y value in the table actually decreases the row index. I'm working through the JLSTZ kick translations to make sure I'm applying this conversion correctly. Continuing to verify the rotation kick offsets, I need to recalculate the 2→3 transition more carefully. Converting from SRS coordinates where x and y represent screen positions to array indices, I'm getting [0,0], [+1,0], [+1,+1], [0,-2], [+1,-2] for this rotation.\n\nNow working through 3→2, which should be the reverse transformation, giving me [0,0], [-1,0], [-1,+1], [0,-2], [-1,-2]. The 3→0 transition uses the same SRS offsets as 3→2, and I'm starting to map out 0→3 as well. Continuing to map out the rotation kick offsets for the I piece in SRS, working through each state transition... Mapping out the rotation transitions with their offset coordinates...\n\nI think I'm overcomplicating this. For a browser game, I don't need full SRS complexity—basic wall kicks would work fine. But since SRS is the standard and gives that authentic Tetris feel, I should just implement it properly. Let me write the code now, storing all four rotations for each piece type.\n\nActually, I can compute rotations programmatically using matrix math instead of hardcoding them. A 90° clockwise rotation transforms coordinates using the formula for transposing and reversing rows. I'll keep it simple: store the initial shapes as 2D arrays, rotate them mathematically when needed, and apply SRS wall kicks.\n\nWriting the Tetris piece system... Defining the piece shapes and rotation logic...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"bbfe5c0c-442e-4172-a5a7-98220fa3cd2f","uuid":"11e84f44-ba7c-4a4c-8c23-d1b08ac2029c"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01R92ehH6Efi3CEnXjJ7MQXR","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured implementation with all the standard mechanics.\n\nHere's what I need to build:\n1. HTML file for the game container\n2. TypeScript file with all the game logic\n3. CSS for styling\n\nKey features to implement:\n- All 7 Tetris pieces (I, O, T, S, Z, J, L)\n- Piece rotation (SRS - Super Rotation System)\n- Line clearing\n- Scoring system (with multiplier for multiple lines)\n- Increasing speed\n\n\n- Keyboard controls (Arrow keys + WASD)\n- Ghost piece (shows where piece will land)\n- Next piece preview\n- Game over detection\n- Hold piece functionality (bonus)\n\nI'm thinking about the best approach for the build setup. A single HTML file with embedded JavaScript would be simplest for a standalone game, so I'll go with that rather than setting up a full TypeScript compilation 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\"\",\n5\t \"main\": \"index.js\",\n6\t \"scripts\": {\n7\t \"test\": \"echo \\\"Error: no test specified\\\" && exit 1\"\n8\t },\n9\t \"keywords\": [],\n10\t \"author\": \"\",\n11\t \"license\": \"ISC\",\n12\t \"type\": \"commonjs\",\n13\t \"devDependencies\": {\n14\t \"@playwright/test\": \"^1.59.1\",\n15\t \"@types/node\": \"^25.5.2\",\n16\t \"typescript\": \"^6.0.2\"\n17\t }\n18\t}\n19\t\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. 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I have TypeScript available. Let me set up a complete Tetris game. I'll use a simple approach with TypeScript compiled to JavaScript. Let me create the following files:\n\n1. `index.html` - The game's HTML\n2. `src/tetris.ts` - The game logic in TypeScript\n3. `tsconfig.json` - TypeScript configuration\n\nSince I need to compile TypeScript to JavaScript, I'll set up the tsconfig to output to a `dist` folder. I'll also update the package.json to add a build script.\n\nLet me design a full-featured Tetris game:\n\n\n- Standard 10×20 board with the seven classic tetrominoes (I, O, T, S, Z, J, L) in their traditional colors\n- Keyboard controls for movement, rotation, dropping, and piece holding\n- Scoring system with line clears multiplied by level, plus bonuses for soft and hard drops\n- Level increases every 10 lines cleared with corresponding speed increases\n\nNow I'm setting up the TypeScript implementation with game constants and tetromino shape definitions...\n\nImplementing core game mechanics... Setting up the SRS kick tables...\n\nI need to be careful about the coordinate system—in Tetris, x goes right and y goes down on screen, but SRS data is often defined with y pointing upward. Let me translate the standard kick offsets into screen coordinates where y increases downward, then implement the rotation logic for each piece type.\n\nDefining kick data... Defining the wall kick offsets for the I-piece... Continuing to work through the rotation offset tables for the other piece types in screen coordinates, mapping out all the transition states. Now I'm finishing up those wall kick offset tables and ready to build out the complete game implementation. I'll set up the project structure with HTML, TypeScript, and configuration files, then write the core game logic including board management, piece mechanics, collision detection, and the rendering system.\n\nWriting game code... Defining the rotation states for the remaining Tetris pieces... Defining the tetromino rotations... I'm finalizing the tetromino rotation states and then moving on to build out the complete game implementation with all the features—dark theme, ghost piece, next piece preview, hold functionality, wall kicks, score tracking with localStorage, pause and game over screens.\n\nWriting the game class... Now I'm working out the scoring system—single lines are worth 100 points per level, doubles 300, triples 500, and a full Tetris gets 800, with soft and hard drops adding bonus points per cell. For progression, I'll calculate the level based on lines cleared using a simple formula, and the drop speed will accelerate using the standard Tetris guideline curve to make the game progressively harder.\n\nI'm going with a simpler linear drop speed formula for clarity rather than the exponential one. I also need to implement the 7-bag randomizer system to ensure balanced piece distribution—each bag contains one of each piece type shuffled randomly so players never go too long without getting a specific piece.\n\nImplementing the game logic now...\n\nI should also add lock delay mechanics so pieces don't instantly lock when they hit the bottom, giving players about 500ms to adjust their placement. I'll cap the number of moves before lock at 15 to prevent infinite spinning. For the visual design, I'm going with a dark theme, gradient-shaded pieces, grid lines, and a side panel showing the score, next piece preview, and hold piece. The board will be 300px wide and 600px tall with a 160px side panel.\n\nWriting the complete TypeScript implementation... Defining the piece shapes... Defining the rotation states for the remaining Tetris pieces... Defining the rotation states for the J and L pieces... Defining wall kick data for different piece rotations... Finishing the wall kick data structure... Now I need to verify this against the official Tetris Guideline specifications, since the coordinate system matters—right is positive for columns, up is positive for 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":361,"cache_read_input_tokens":5271,"cache_creation":{"ephemeral_5m_input_tokens":361,"ephemeral_1h_input_tokens":0},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"bbfe5c0c-442e-4172-a5a7-98220fa3cd2f","uuid":"31037a67-0485-4bea-af6b-397b54509dde"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Sr96c3iasPYW7ZzozRcYUj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris implementation with all standard mechanics.\n\nI'll create:\n1. `index.html` - The main HTML file\n2. `tetris.ts` - The TypeScript source file\n3. `tetris.js` - Compiled JavaScript (or I can use a bundler approach)\n\nSince this needs to run in a browser without a build step, I'll write the TypeScript and also provide the compiled JavaScript. Actually, let me think about this differently - I'll write the TypeScript and compile it.\n\n\nNow I'm planning out the core game structure: the standard seven Tetris pieces with their rotation states, a 10×20 game board, and the essential mechanics like movement, rotation, and hard drop functionality.\n\nSetting up the scoring system with increasing rewards for clearing multiple lines at once, plus level progression that speeds up gameplay. I'll also add quality-of-life features like a ghost piece preview, next piece indicator, and hold functionality.\n\nDefining the control scheme with arrow keys for movement and rotation, space for hard drop, and C for the hold mechanic.\n\nWriting the TypeScript code... Defining the tetromino shapes... Defining tetromino shapes... Defining the rotation logic... Writing the complete implementation... Writing the Tetris implementation... Defining the tetromino shapes...\n\nNow I'm setting up the wall kick offsets for the SRS rotation system, which determines how pieces can shift position when they rotate near walls or other obstacles. Defining the wall kick lookup function... Writing the game class... Setting up the canvas contexts for the game board, next piece preview, and hold piece display, then initializing all the game state variables like the board grid, score tracking, and game flags.\n\nNow I'm configuring the canvas dimensions based on the block size constants, spawning the initial piece, and setting up input handlers before resetting the game state to prepare for play. Writing game initialization logic... Now I'm implementing the ghost piece preview by dropping it down until it hits an obstacle, then locking the current piece onto the board by placing its blocks and checking if the piece spawned above the visible area to trigger a game over. The clearing logic appears to be starting but got cut off.\n\nContinuing with the line clearing and scoring logic...\n\nNow I'm handling the score calculation when lines are cleared—incrementing the combo multiplier, applying the base score from a lookup table scaled by level, and adding bonus points for consecutive clears. I'm also tracking total lines cleared to determine when the player levels up, which increases the drop speed. If no lines are cleared, the combo resets. Then there's the game over trigger that stops the animation loop and displays the end screen.\n\nImplementing the movement controls... Implementing wall kick logic... Setting up the hold piece functionality and then moving on to pause controls and input handling with key repeat logic... Setting up keyboard handlers for rotation, hard drop, hold piece, and pause functionality...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":486,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":486,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"03da892a-b2e7-467c-9295-35f274bffbd3","uuid":"72f8be08-6ffc-4edf-bb97-d3f4f3ae67ad"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "off", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:21:58.809464+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:32:02.085722+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=off_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-b2ydasef","session_id":"03da892a-b2e7-467c-9295-35f274bffbd3","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"13be28e0-f05b-49fc-8924-40b22db68340","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Sr96c3iasPYW7ZzozRcYUj","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris implementation with all standard mechanics.\n\nI'll create:\n1. `index.html` - The main HTML file\n2. `tetris.ts` - The TypeScript source file\n3. `tetris.js` - Compiled JavaScript (or I can use a bundler approach)\n\nSince this needs to run in a browser without a build step, I'll write the TypeScript and also provide the compiled JavaScript. Actually, let me think about this differently - I'll write the TypeScript and compile it.\n\n\nNow I'm planning out the core game structure: the standard seven Tetris pieces with their rotation states, a 10×20 game board, and the essential mechanics like movement, rotation, and hard drop functionality.\n\nSetting up the scoring system with increasing rewards for clearing multiple lines at once, plus level progression that speeds up gameplay. I'll also add quality-of-life features like a ghost piece preview, next piece indicator, and hold functionality.\n\nDefining the control scheme with arrow keys for movement and rotation, space for hard drop, and C for the hold mechanic.\n\nWriting the TypeScript code... Defining the tetromino shapes... Defining tetromino shapes... Defining the rotation logic... Writing the complete implementation... Writing the Tetris implementation... Defining the tetromino shapes...\n\nNow I'm setting up the wall kick offsets for the SRS rotation system, which determines how pieces can shift position when they rotate near walls or other obstacles. Defining the wall kick lookup function... Writing the game class... Setting up the canvas contexts for the game board, next piece preview, and hold piece display, then initializing all the game state variables like the board grid, score tracking, and game flags.\n\nNow I'm configuring the canvas dimensions based on the block size constants, spawning the initial piece, and setting up input handlers before resetting the game state to prepare for play. Writing game initialization logic... Now I'm implementing the ghost piece preview by dropping it down until it hits an obstacle, then locking the current piece onto the board by placing its blocks and checking if the piece spawned above the visible area to trigger a game over. The clearing logic appears to be starting but got cut off.\n\nContinuing with the line clearing and scoring logic...\n\nNow I'm handling the score calculation when lines are cleared—incrementing the combo multiplier, applying the base score from a lookup table scaled by level, and adding bonus points for consecutive clears. I'm also tracking total lines cleared to determine when the player levels up, which increases the drop speed. If no lines are cleared, the combo resets. Then there's the game over trigger that stops the animation loop and displays the end screen.\n\nImplementing the movement controls... Implementing wall kick logic... Setting up the hold piece functionality and then moving on to pause controls and input handling with key repeat logic... Setting up keyboard handlers for rotation, hard drop, hold piece, and pause functionality...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":486,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":486,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"03da892a-b2e7-467c-9295-35f274bffbd3","uuid":"72f8be08-6ffc-4edf-bb97-d3f4f3ae67ad"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014Hftqe1osSTHUNFmsFuF92","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using TypeScript. Let me build a complete Tetris game with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The TypeScript game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nThe game needs:\n- Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n- Piece rotation\n- Line clearing\n- Scoring (standard scoring: 1 line = 100pts, 2 lines = 300pts, 3 lines = 500pts, 4 lines = 800pts)\n\n\n- Increasing speed with a level system\n- Keyboard controls: Arrow keys for movement, Up arrow or Z for rotation\n- Next piece preview\n- Game over detection\n\nI'll create a proper project structure with TypeScript that compiles to JavaScript and runs directly in the browser without needing a build server.\n\nI'm deciding between a self-contained HTML file with inline compilation, a full Node.js project requiring npm setup, or providing both the TypeScript source and pre-compiled JavaScript. The best approach is a proper project structure with a build script and pre-compiled output so the user can just open the HTML file and play immediately.\n\nNow I'm planning the game architecture...\n\nDefining the core types for pieces, the board grid, and game state, then laying out the seven tetromino shapes and how they'll rotate using matrix transformations. I'm also implementing the Nintendo scoring system where clearing lines awards points based on how many lines are cleared at once.\n\nNow I'm setting up the game mechanics with keyboard controls for movement, rotation, and dropping pieces, then starting to write the TypeScript implementation with constants for the board dimensions and color palette for each piece type.\n\nWriting game logic... Setting up the scoring system and defining the core Tetris class with canvas rendering, game state management, and piece tracking. Writing the game logic... Finishing the lock method to place the piece on the board, then checking for completed lines to clear them and spawning the next piece, with a game over check if the new piece can't be placed. Writing the rendering logic... Finishing the block drawing method with highlight and shadow effects, then moving into the ghost piece rendering logic...\n\nNow I'm implementing the ghost piece visualization—it calculates where the current piece would land if dropped straight down, then draws an outlined preview of that position using the piece's color.\n\nThen I'm adding a grid overlay to the canvas with faint horizontal and vertical lines spaced at regular intervals to help visualize the play area.\n\nNow I'm implementing the next piece preview display, which clears the preview canvas with a dark background and then centers the upcoming tetromino piece within it, calculating the proper offsets to position it nicely.\n\nSetting up keyboard input handling... Still writing game logic... Writing game initialization... Finishing up the game loop and setting up the initialization. Now I'm wiring up the DOM elements to trigger game actions when the user clicks the restart or new game buttons, then building out the HTML structure with styling for the Tetris board and UI elements. Still writing styles... Still writing styles... Building the game UI... I need to handle the pause button by exposing the game instance globally so the event listener can call its togglePause method. I'm also reconsidering the project structure—I should set up TypeScript with a source file, config, and package.json, but also compile it to JavaScript so users can run it immediately by opening the HTML file without needing a build step. I need to clean up the validation logic for piece placement—when a new piece spawns, I should check if it's valid at its starting position before marking the game as over. For the pause overlay, I'll expose the game instance globally so the resume button can call the toggle method. I'm also reconsidering whether to implement lock delay for better playability, though I'll keep it simple for now and lock pieces immediately. resetting its position. Since `nextPiece` is created fresh with `y: 0`, that should work fine.\n\nI'm going to keep the rotation controls simple—just the Up arrow for clockwise rotation. For the drop speed, I need to think through the progression more carefully. The classic Tetris formula starts around 800ms at level 1 and decreases from there, so I should adjust my speed curve to match that feel rather than starting at a full second.\n\nCalculating drop interval with exponential decay...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "off", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:26:54.951970+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:36:57.965293+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-tocz7fbo","session_id":"5b56318d-b248-4883-b418-03569cbb10b0","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"b7d289f2-ab53-46f1-b6c3-e5e1c26a3a9d","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014Hftqe1osSTHUNFmsFuF92","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using TypeScript. Let me build a complete Tetris game with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The TypeScript game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nThe game needs:\n- Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n- Piece rotation\n- Line clearing\n- Scoring (standard scoring: 1 line = 100pts, 2 lines = 300pts, 3 lines = 500pts, 4 lines = 800pts)\n\n\n- Increasing speed with a level system\n- Keyboard controls: Arrow keys for movement, Up arrow or Z for rotation\n- Next piece preview\n- Game over detection\n\nI'll create a proper project structure with TypeScript that compiles to JavaScript and runs directly in the browser without needing a build server.\n\nI'm deciding between a self-contained HTML file with inline compilation, a full Node.js project requiring npm setup, or providing both the TypeScript source and pre-compiled JavaScript. The best approach is a proper project structure with a build script and pre-compiled output so the user can just open the HTML file and play immediately.\n\nNow I'm planning the game architecture...\n\nDefining the core types for pieces, the board grid, and game state, then laying out the seven tetromino shapes and how they'll rotate using matrix transformations. I'm also implementing the Nintendo scoring system where clearing lines awards points based on how many lines are cleared at once.\n\nNow I'm setting up the game mechanics with keyboard controls for movement, rotation, and dropping pieces, then starting to write the TypeScript implementation with constants for the board dimensions and color palette for each piece type.\n\nWriting game logic... Setting up the scoring system and defining the core Tetris class with canvas rendering, game state management, and piece tracking. Writing the game logic... Finishing the lock method to place the piece on the board, then checking for completed lines to clear them and spawning the next piece, with a game over check if the new piece can't be placed. Writing the rendering logic... Finishing the block drawing method with highlight and shadow effects, then moving into the ghost piece rendering logic...\n\nNow I'm implementing the ghost piece visualization—it calculates where the current piece would land if dropped straight down, then draws an outlined preview of that position using the piece's color.\n\nThen I'm adding a grid overlay to the canvas with faint horizontal and vertical lines spaced at regular intervals to help visualize the play area.\n\nNow I'm implementing the next piece preview display, which clears the preview canvas with a dark background and then centers the upcoming tetromino piece within it, calculating the proper offsets to position it nicely.\n\nSetting up keyboard input handling... Still writing game logic... Writing game initialization... Finishing up the game loop and setting up the initialization. Now I'm wiring up the DOM elements to trigger game actions when the user clicks the restart or new game buttons, then building out the HTML structure with styling for the Tetris board and UI elements. Still writing styles... Still writing styles... Building the game UI... I need to handle the pause button by exposing the game instance globally so the event listener can call its togglePause method. I'm also reconsidering the project structure—I should set up TypeScript with a source file, config, and package.json, but also compile it to JavaScript so users can run it immediately by opening the HTML file without needing a build step. I need to clean up the validation logic for piece placement—when a new piece spawns, I should check if it's valid at its starting position before marking the game as over. For the pause overlay, I'll expose the game instance globally so the resume button can call the toggle method. I'm also reconsidering whether to implement lock delay for better playability, though I'll keep it simple for now and lock pieces immediately. resetting its position. Since `nextPiece` is created fresh with `y: 0`, that should work fine.\n\nI'm going to keep the rotation controls simple—just the Up arrow for clockwise rotation. For the drop speed, I need to think through the progression more carefully. The classic Tetris formula starts around 800ms at level 1 and decreases from there, so I should adjust my speed curve to match that feel rather than starting at a full second.\n\nCalculating drop interval with exponential decay...","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01F8tLU1c3ZBUmsfrBBJZhdz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The TypeScript source file\n3. `dist/tetris.js` - Compiled JavaScript (or I can use a bundler)\n\nActually, since the user wants it to run in a browser, I'll create:\n1. `index.html` - The main HTML file with canvas\n\n\n2. `src/tetris.ts` - TypeScript source\n3. `tsconfig.json` - TypeScript config\n4. `package.json` - For building\n\nThe game will include all 7 Tetromino pieces with rotation and wall kicks, line clearing with animation, and scoring based on how many lines are cleared at once.\n\nWriting the TypeScript code... Defining the tetromino rotations... Defining the rotation states for the remaining Tetris pieces...\n\nNow I'm thinking through the full feature set I want to implement—a proper Tetris game with all seven tetrominoes, rotation mechanics using the Super Rotation System, hold and next piece functionality, line clearing with animations, and a scoring system that increases difficulty as you progress. I'll organize this as a TypeScript project with separate configuration files for a clean structure.\n\nBuilding out the HTML and CSS for the game interface... Writing the Tetris game logic... I'm laying out the complete SRS wall kick offsets for the standard Tetris pieces, checking each rotation state transition and the specific test positions that should be attempted in order. Defining rotation offsets for the I piece... I'm getting tangled up in the wall kick offsets, so let me just reference a proper implementation instead of trying to derive them myself. I'll go with a simpler approach for now—basic rotation with collision detection, and if there's a collision, I'll try shifting the piece left or right by one or two spaces. Actually, I should implement the proper Super Rotation System since that's the standard. Let me pull the actual wall kick data from the Tetris wiki...\n\nDefining wall kick offsets... I need to account for the coordinate system difference—since y increases downward in the game rather than upward, I'm negating all the y components from the standard Tetris rotation data. Let me carefully work through the transformations again to make sure I'm getting the signs right.\n\nNow I'm going to stop overthinking this and just implement the wall kick system properly using the standard SRS approach with my coordinate system baked in. I'll define the wall kick offsets directly for JLSTZ pieces...\n\nDefining wall kick offsets... I need to step back and reference the actual Tetris Guideline specification for the wall kick data instead of guessing. Looking at the standard implementation, I can see the proper kick offsets for JLSTZ pieces across different rotation states.\n\nNow I'm converting these coordinates from standard math notation where y increases upward to my coordinate system where y increases downward, which means I need to negate all the y-values. I'm mapping out the rotation transitions for the Tetris piece—each direction maps to specific clockwise and counter-clockwise rotations, and I'm verifying that the wall kick offsets align correctly with these rotation states. Now I'm converting these kick offsets to my coordinate system where y points downward, flipping the vertical components accordingly. Setting up the core Tetris game structure with constants for the board dimensions, piece types, color mappings, rotation shapes, wall kick offsets for SRS compliance, and scoring multipliers for completed lines.\n\nDefining the main game class with properties for the canvas, game board state, current and upcoming pieces, hold functionality, score tracking, and game state management, along with methods for initialization, game loop handling, piece movement and rotation, and collision detection.\n\nNow I'm implementing the complete class structure with all the core game mechanics like piece spawning, movement, rotation, hard drops, hold functionality, line clearing, and scoring logic, plus all the rendering methods for drawing the board, pieces, ghost piece, hold display, next queue, and UI elements.\n\nI need to account for lock delay mechanics where a piece waits 0.5 seconds before locking once it can't move down anymore, allowing the player to continue repositioning it during that window.\n\nI'm also implementing a 7-bag randomizer to ensure all seven piece types are distributed evenly rather than appearing randomly, which gives the game better pacing.\n\nWriting the complete TypeScript implementation... Defining the piece rotations... Defining the rotation states for the remaining Tetris pieces...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"dd16e5fb-c7b4-487f-8724-9be08aae496f","uuid":"62e75c3b-82e5-4d69-b1b7-8d1d087f9b29"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "off", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:28:35.101162+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:38:36.614615+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-hdjudlgn","session_id":"dd16e5fb-c7b4-487f-8724-9be08aae496f","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"bdd953c2-961d-4167-b05f-8a8fce39ce2d","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01F8tLU1c3ZBUmsfrBBJZhdz","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The TypeScript source file\n3. `dist/tetris.js` - Compiled JavaScript (or I can use a bundler)\n\nActually, since the user wants it to run in a browser, I'll create:\n1. `index.html` - The main HTML file with canvas\n\n\n2. `src/tetris.ts` - TypeScript source\n3. `tsconfig.json` - TypeScript config\n4. `package.json` - For building\n\nThe game will include all 7 Tetromino pieces with rotation and wall kicks, line clearing with animation, and scoring based on how many lines are cleared at once.\n\nWriting the TypeScript code... Defining the tetromino rotations... Defining the rotation states for the remaining Tetris pieces...\n\nNow I'm thinking through the full feature set I want to implement—a proper Tetris game with all seven tetrominoes, rotation mechanics using the Super Rotation System, hold and next piece functionality, line clearing with animations, and a scoring system that increases difficulty as you progress. I'll organize this as a TypeScript project with separate configuration files for a clean structure.\n\nBuilding out the HTML and CSS for the game interface... Writing the Tetris game logic... I'm laying out the complete SRS wall kick offsets for the standard Tetris pieces, checking each rotation state transition and the specific test positions that should be attempted in order. Defining rotation offsets for the I piece... I'm getting tangled up in the wall kick offsets, so let me just reference a proper implementation instead of trying to derive them myself. I'll go with a simpler approach for now—basic rotation with collision detection, and if there's a collision, I'll try shifting the piece left or right by one or two spaces. Actually, I should implement the proper Super Rotation System since that's the standard. Let me pull the actual wall kick data from the Tetris wiki...\n\nDefining wall kick offsets... I need to account for the coordinate system difference—since y increases downward in the game rather than upward, I'm negating all the y components from the standard Tetris rotation data. Let me carefully work through the transformations again to make sure I'm getting the signs right.\n\nNow I'm going to stop overthinking this and just implement the wall kick system properly using the standard SRS approach with my coordinate system baked in. I'll define the wall kick offsets directly for JLSTZ pieces...\n\nDefining wall kick offsets... I need to step back and reference the actual Tetris Guideline specification for the wall kick data instead of guessing. Looking at the standard implementation, I can see the proper kick offsets for JLSTZ pieces across different rotation states.\n\nNow I'm converting these coordinates from standard math notation where y increases upward to my coordinate system where y increases downward, which means I need to negate all the y-values. I'm mapping out the rotation transitions for the Tetris piece—each direction maps to specific clockwise and counter-clockwise rotations, and I'm verifying that the wall kick offsets align correctly with these rotation states. Now I'm converting these kick offsets to my coordinate system where y points downward, flipping the vertical components accordingly. Setting up the core Tetris game structure with constants for the board dimensions, piece types, color mappings, rotation shapes, wall kick offsets for SRS compliance, and scoring multipliers for completed lines.\n\nDefining the main game class with properties for the canvas, game board state, current and upcoming pieces, hold functionality, score tracking, and game state management, along with methods for initialization, game loop handling, piece movement and rotation, and collision detection.\n\nNow I'm implementing the complete class structure with all the core game mechanics like piece spawning, movement, rotation, hard drops, hold functionality, line clearing, and scoring logic, plus all the rendering methods for drawing the board, pieces, ghost piece, hold display, next queue, and UI elements.\n\nI need to account for lock delay mechanics where a piece waits 0.5 seconds before locking once it can't move down anymore, allowing the player to continue repositioning it during that window.\n\nI'm also implementing a 7-bag randomizer to ensure all seven piece types are distributed evenly rather than appearing randomly, which gives the game better pacing.\n\nWriting the complete TypeScript implementation... Defining the piece rotations... Defining the rotation states for the remaining Tetris pieces...","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Qdf29E38pbVEb19qDzTw5G","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with:\n\n1. Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z for rotation)\n\nI'll create:\n- `index.html` - the main HTML file\n\n\n- `src/tetris.ts` - the TypeScript source\n- `tsconfig.json` - TypeScript configuration\n- `package.json` - project dependencies\n\nI'm going with a proper TypeScript setup that compiles to JavaScript rather than trying to run TypeScript directly in the browser, so I'll need a build step to transpile the code.\n\nNow I'm planning out the core game mechanics: a standard 10x20 grid with all seven tetromino pieces, each with rotation states and their standard colors. I'll implement gravity for automatic falling, arrow key controls for movement and rotation, soft and hard drop functionality, line clearing with scoring, progressive difficulty, and a next piece preview. I might add a hold piece feature too since it's a nice quality-of-life addition.\n\nWriting the TypeScript game engine... Writing the complete Tetris game... Defining the wall kick offsets for the SRS rotation system... I'm defining the wall kick data for the I-piece in SRS rotation, then deciding to implement proper SRS wall kicks for a better game experience. Now I'm setting up a complete TypeScript file with the core game constants and piece definitions.\n\nI'm working through the matrix rotation logic—specifically how to rotate a piece 90 degrees clockwise using the transformation where the new position maps from the old matrix, then generating all four rotation states from an initial shape. Let me reconsider the rotation formula to make sure I get it right.\n\nStill writing rotation logic...\n\nNow I'm ready to build out the complete game. I'll organize it into separate files: an HTML entry point, the main TypeScript game logic, and the necessary configuration files, then compile everything together.\n\nWriting the Tetris game code... Defining the tetromino shapes... I'm verifying the standard Tetris piece orientations in their spawn states—the I piece as a horizontal line, the O piece as a 2x2 square, and the T, S, Z, J, and L pieces in their canonical starting rotations.\n\nNow I'm setting up the complete TypeScript implementation with type definitions for the board, pieces, and game state, then I'll write out the full game logic including the SRS wall kick system.\n\nWriting the game implementation... Verifying the rotation formula with the I piece to make sure the transformation works correctly.\n\nI'm going to define all four rotations for each piece upfront rather than computing them dynamically—it's simpler and avoids any edge cases with the rotation math. Actually, I'll just compute them programmatically and trust the formula; the game will work fine either way.\n\nWriting rotation function... I'm verifying the rotation logic by tracing through each transformation of the I piece—starting horizontal, then rotating to vertical, back to horizontal, and finally vertical again before returning to the original orientation.\n\nNow I'm working through the T piece definition, deciding on its initial shape and how it should be positioned in the grid for proper rotation handling. CW rotation formula is new[i][j] = old[3-j][i], and I'm working through the specific mappings for the T piece to verify the transformation is correct. After rotating, the T piece shows the expected clockwise orientation with the stem pointing right.\n\nNow I'm thinking through the piece definitions for the actual game—I need to decide on matrix sizes for each tetromino. The I piece needs 4x4, and while O doesn't rotate meaningfully, I should probably standardize on 4x4 for all pieces to keep things simple, though that might cause some awkward spawning for smaller pieces.\n\nDefining all rotations as pre-computed arrays... Defining the rotation states for the remaining Tetris pieces... Defining the L piece rotations... Defining rotation states for the remaining pieces...\n\nNow I'm thinking about how to represent the O piece—it should be 2x2 in the standard rotation system, but I'll use a 4x4 grid with proper offsets to keep the spawn logic consistent. I'll stick with 4x4 grids for both I and O pieces, and 3x3 for everything else to simplify positioning.\n\nActually, let me just standardize everything to 4x4 matrices and handle collision detection based on the actual filled cells rather than worrying about different dimensions. I'll define all the pieces with their rotations in 4x4 format, starting with I, O, T, and S...\n\nDefining piece matrices...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"b10a4c9a-b8ec-4002-933a-7f9fdd46ba93","uuid":"3e631bba-c649-4e85-b907-cb848be16861"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "off", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:29:16.891941+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:39:18.256711+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=off_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-jczkdhl7","session_id":"b10a4c9a-b8ec-4002-933a-7f9fdd46ba93","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"40047e27-1a82-43d1-929d-a755ba843b52","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Qdf29E38pbVEb19qDzTw5G","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with:\n\n1. Standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z for rotation)\n\nI'll create:\n- `index.html` - the main HTML file\n\n\n- `src/tetris.ts` - the TypeScript source\n- `tsconfig.json` - TypeScript configuration\n- `package.json` - project dependencies\n\nI'm going with a proper TypeScript setup that compiles to JavaScript rather than trying to run TypeScript directly in the browser, so I'll need a build step to transpile the code.\n\nNow I'm planning out the core game mechanics: a standard 10x20 grid with all seven tetromino pieces, each with rotation states and their standard colors. I'll implement gravity for automatic falling, arrow key controls for movement and rotation, soft and hard drop functionality, line clearing with scoring, progressive difficulty, and a next piece preview. I might add a hold piece feature too since it's a nice quality-of-life addition.\n\nWriting the TypeScript game engine... Writing the complete Tetris game... Defining the wall kick offsets for the SRS rotation system... I'm defining the wall kick data for the I-piece in SRS rotation, then deciding to implement proper SRS wall kicks for a better game experience. Now I'm setting up a complete TypeScript file with the core game constants and piece definitions.\n\nI'm working through the matrix rotation logic—specifically how to rotate a piece 90 degrees clockwise using the transformation where the new position maps from the old matrix, then generating all four rotation states from an initial shape. Let me reconsider the rotation formula to make sure I get it right.\n\nStill writing rotation logic...\n\nNow I'm ready to build out the complete game. I'll organize it into separate files: an HTML entry point, the main TypeScript game logic, and the necessary configuration files, then compile everything together.\n\nWriting the Tetris game code... Defining the tetromino shapes... I'm verifying the standard Tetris piece orientations in their spawn states—the I piece as a horizontal line, the O piece as a 2x2 square, and the T, S, Z, J, and L pieces in their canonical starting rotations.\n\nNow I'm setting up the complete TypeScript implementation with type definitions for the board, pieces, and game state, then I'll write out the full game logic including the SRS wall kick system.\n\nWriting the game implementation... Verifying the rotation formula with the I piece to make sure the transformation works correctly.\n\nI'm going to define all four rotations for each piece upfront rather than computing them dynamically—it's simpler and avoids any edge cases with the rotation math. Actually, I'll just compute them programmatically and trust the formula; the game will work fine either way.\n\nWriting rotation function... I'm verifying the rotation logic by tracing through each transformation of the I piece—starting horizontal, then rotating to vertical, back to horizontal, and finally vertical again before returning to the original orientation.\n\nNow I'm working through the T piece definition, deciding on its initial shape and how it should be positioned in the grid for proper rotation handling. CW rotation formula is new[i][j] = old[3-j][i], and I'm working through the specific mappings for the T piece to verify the transformation is correct. After rotating, the T piece shows the expected clockwise orientation with the stem pointing right.\n\nNow I'm thinking through the piece definitions for the actual game—I need to decide on matrix sizes for each tetromino. The I piece needs 4x4, and while O doesn't rotate meaningfully, I should probably standardize on 4x4 for all pieces to keep things simple, though that might cause some awkward spawning for smaller pieces.\n\nDefining all rotations as pre-computed arrays... Defining the rotation states for the remaining Tetris pieces... Defining the L piece rotations... Defining rotation states for the remaining pieces...\n\nNow I'm thinking about how to represent the O piece—it should be 2x2 in the standard rotation system, but I'll use a 4x4 grid with proper offsets to keep the spawn logic consistent. I'll stick with 4x4 grids for both I and O pieces, and 3x3 for everything else to simplify positioning.\n\nActually, let me just standardize everything to 4x4 matrices and handle collision detection based on the actual filled cells rather than worrying about different dimensions. I'll define all the pieces with their rotations in 4x4 format, starting with I, O, T, and S...\n\nDefining piece matrices...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"b10a4c9a-b8ec-4002-933a-7f9fdd46ba93","uuid":"3e631bba-c649-4e85-b907-cb848be16861"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DYvKdv4MHX2hp3uEzfufot","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris implementation with:\n\n1. All 7 standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z/X for rotation)\n\nI'll create the following files:\n- `index.html` - Main HTML file\n\n\n- `tetris.ts` - TypeScript source\n- `tetris.js` - Compiled JavaScript (pre-compiled)\n- `tsconfig.json` - TypeScript config\n\nFor the browser, I'll go with pre-compiled JavaScript so it runs directly without needing a build tool.\n\nNow I'm planning out the game mechanics: a 10x20 grid with the seven standard tetrominoes, scoring that rewards clearing multiple lines at once, and difficulty that increases every 10 lines cleared. I'll add controls for movement, rotation in both directions, and soft dropping, plus a next piece preview to help with planning.\n\nWriting the TypeScript implementation... I'm setting up the project structure with TypeScript and planning to compile it for the browser—I'll need an HTML file, TypeScript configuration, and the main game logic in a source file that compiles to JavaScript.\n\nDefining the core constants and game structure... Finishing up the tetromino definitions, then I'm planning out a full Tetris implementation with a 10×20 board, all seven piece types, rotation mechanics with wall kicks, a ghost piece preview, hold functionality, and a scoring system. Defining the tetromino shapes and colors... Defining the Tetris piece rotations... Defining the wall kick offsets for piece rotations... Defining the game constants for scoring and speed mechanics...\n\nNow I'm setting up the core game structure with type definitions for pieces and the board, then initializing the main TetrisGame class with canvas contexts for rendering the main board, next piece preview, and hold piece display.\n\nDefining the private properties for game state... Setting up the game board and initializing a random piece by selecting from the seven Tetris shapes and centering it at the top, then resetting all game state variables like score, lines, and level while setting up the drop speed based on difficulty.\n\nNow I'm spawning the current piece from the next queue, generating a new random piece to preview, and starting the game loop with animation frames to handle the continuous falling and input processing—if the piece immediately collides with the board, the game ends.\n\nChecking collision detection... Writing the game logic... Writing the game mechanics... Finishing the wall kick logic, then moving into the hold piece functionality where I swap the current piece with a held piece or spawn a new one if the hold slot is empty.\n\nNow I'm implementing the ghost piece positioning by calculating how far down the current piece can fall before it collides, and then setting up the drawing functions to render blocks on the canvas with different opacity for ghost pieces versus actual pieces.\n\nWriting rendering code... Writing the canvas rendering... Writing the rendering logic... Still writing the rendering code... Finishing the highlight effect on the piece blocks, then I'm moving on to draw the next piece preview and hold piece preview by calling those helper methods. After that, I'm updating the UI to display the current score, lines cleared, and level, and setting up a message display function that will show title and subtitle text.\n\nSetting up input handling...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "off", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:10:20.488948+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:20:23.911991+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-q166vcmi","session_id":"cac01f34-4871-4f98-a231-72f46d43dac5","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"66e8471c-889d-4060-9f79-422bb3fdb475","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DYvKdv4MHX2hp3uEzfufot","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris implementation with:\n\n1. All 7 standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z/X for rotation)\n\nI'll create the following files:\n- `index.html` - Main HTML file\n\n\n- `tetris.ts` - TypeScript source\n- `tetris.js` - Compiled JavaScript (pre-compiled)\n- `tsconfig.json` - TypeScript config\n\nFor the browser, I'll go with pre-compiled JavaScript so it runs directly without needing a build tool.\n\nNow I'm planning out the game mechanics: a 10x20 grid with the seven standard tetrominoes, scoring that rewards clearing multiple lines at once, and difficulty that increases every 10 lines cleared. I'll add controls for movement, rotation in both directions, and soft dropping, plus a next piece preview to help with planning.\n\nWriting the TypeScript implementation... I'm setting up the project structure with TypeScript and planning to compile it for the browser—I'll need an HTML file, TypeScript configuration, and the main game logic in a source file that compiles to JavaScript.\n\nDefining the core constants and game structure... Finishing up the tetromino definitions, then I'm planning out a full Tetris implementation with a 10×20 board, all seven piece types, rotation mechanics with wall kicks, a ghost piece preview, hold functionality, and a scoring system. Defining the tetromino shapes and colors... Defining the Tetris piece rotations... Defining the wall kick offsets for piece rotations... Defining the game constants for scoring and speed mechanics...\n\nNow I'm setting up the core game structure with type definitions for pieces and the board, then initializing the main TetrisGame class with canvas contexts for rendering the main board, next piece preview, and hold piece display.\n\nDefining the private properties for game state... Setting up the game board and initializing a random piece by selecting from the seven Tetris shapes and centering it at the top, then resetting all game state variables like score, lines, and level while setting up the drop speed based on difficulty.\n\nNow I'm spawning the current piece from the next queue, generating a new random piece to preview, and starting the game loop with animation frames to handle the continuous falling and input processing—if the piece immediately collides with the board, the game ends.\n\nChecking collision detection... Writing the game logic... Writing the game mechanics... Finishing the wall kick logic, then moving into the hold piece functionality where I swap the current piece with a held piece or spawn a new one if the hold slot is empty.\n\nNow I'm implementing the ghost piece positioning by calculating how far down the current piece can fall before it collides, and then setting up the drawing functions to render blocks on the canvas with different opacity for ghost pieces versus actual pieces.\n\nWriting rendering code... Writing the canvas rendering... Writing the rendering logic... Still writing the rendering code... Finishing the highlight effect on the piece blocks, then I'm moving on to draw the next piece preview and hold piece preview by calling those helper methods. After that, I'm updating the UI to display the current score, lines cleared, and level, and setting up a message display function that will show title and subtitle text.\n\nSetting up input handling...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":485,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":485,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"cac01f34-4871-4f98-a231-72f46d43dac5","uuid":"0ff7a8a5-0eea-456c-8172-379ab8f53885"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014jViAnh22eA31fjALq8AeW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris implementation.\n\nI'll create:\n1. `index.html` - The HTML structure\n2. `style.css` - Styling for the game\n3. `tetris.ts` - TypeScript game logic\n4. `tsconfig.json` - TypeScript configuration\n\nSince we're running in a browser, I'll compile the TypeScript to JavaScript. Let me think about the approach - I could either:\n1. Create a TypeScript file and compile it\n\n\n2. Create everything inline\n\nLet me create a proper project structure. I'll need to check if there's a TypeScript compiler available, or I can write the TypeScript and also provide the compiled JS, or use a simple build setup.\n\nActually, let me just create the files and compile with tsc. Let me structure this properly.\n\nNow I'm planning out the core game mechanics: a 10x20 board with the seven standard Tetris pieces (I, O, T, S, Z, J, L), each with their own colors and rotation states.\n\nDefining the game mechanics... Defining the remaining Tetris pieces... Writing the TypeScript implementation... Building the HTML structure... I'm outlining the core architecture with TypeScript interfaces and a main game class that will handle the board state, active piece, next queue, hold functionality, and all the game mechanics like rotation with wall kicks, lock delay, and scoring.\n\nWriting the class implementation... I need to convert these wall kick offsets from standard Tetris coordinates (where y increases upward) to canvas coordinates (where y increases downward), so I'll negate the y values when applying them during rotation checks. I'm getting tangled up in the wall kick offsets, so let me just pull the standard SRS data directly from the Tetris wiki and implement it properly rather than trying to reconstruct it from memory. I need to be more careful about the coordinate system conversion. The wiki uses (column, row from bottom) while canvas uses (column, row from top), so I need to flip the y-axis by negating it when translating the wall kick offsets. Now I'm looking at the wall kick offsets for the I piece when rotating clockwise, mapping out the coordinate shifts for each rotation state and how they translate to the canvas positioning.\n\nFor counter-clockwise rotations, I can derive them by negating the clockwise values, then I'll implement the full SRS system with all the wall kick data I've compiled rather than a simplified version.\n\nWriting the TypeScript implementation... Defining the tetromino data... Defining the Tetris piece configurations... I'm realizing I should compute the rotation states programmatically rather than hardcoding all four orientations for each piece—I can generate them by rotating the initial shape 90 degrees clockwise using a matrix rotation formula. Defining the canonical shapes for each tetromino piece...\n\nThe O piece is tricky since all its rotations are identical, but in a 4x4 matrix it'll shift position with each rotation, so I need to handle that carefully. The I piece is straightforward as a horizontal line that rotates to vertical.\n\nI'm going to precompute all rotation states explicitly for each piece to keep things clean and avoid any position-shifting issues. Defining piece data... Defining the remaining Tetris piece rotations... Defining the tetromino pieces...\n\nI'm realizing the O and I pieces don't fit neatly into the same 3x3 grid structure as the others—the O piece is 2x2 and the I piece is 4x1 or 1x4. Rather than forcing them into inconsistent bounding boxes, I should precompute the actual cell offsets for each rotation state so I can handle variable-sized pieces cleanly.\n\nActually, using 2D arrays with different dimensions per piece is simpler—I'll use 4x4 matrices for I and O, and 3x3 for the rest. The collision detection can just skip over the zeros. Let me verify the T piece rotations are correct: spawn state is an upright T, then it rotates clockwise through right-facing, upside-down, and left-facing orientations. Those all check out.\n\nNow I'm verifying the J and L piece rotations. The J piece starts with the hook on the left, then rotates through right-facing, upside-down, and left-facing versions. The L piece mirrors this with the hook on the right side instead.","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "off", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:11:23.155284+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:21:26.670398+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-0rfl4qr4","session_id":"30903a63-1e52-4a4e-8718-657eae375988","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"f88639f5-07cc-47ca-b916-536c8d436777","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014jViAnh22eA31fjALq8AeW","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris implementation.\n\nI'll create:\n1. `index.html` - The HTML structure\n2. `style.css` - Styling for the game\n3. `tetris.ts` - TypeScript game logic\n4. `tsconfig.json` - TypeScript configuration\n\nSince we're running in a browser, I'll compile the TypeScript to JavaScript. Let me think about the approach - I could either:\n1. Create a TypeScript file and compile it\n\n\n2. Create everything inline\n\nLet me create a proper project structure. I'll need to check if there's a TypeScript compiler available, or I can write the TypeScript and also provide the compiled JS, or use a simple build setup.\n\nActually, let me just create the files and compile with tsc. Let me structure this properly.\n\nNow I'm planning out the core game mechanics: a 10x20 board with the seven standard Tetris pieces (I, O, T, S, Z, J, L), each with their own colors and rotation states.\n\nDefining the game mechanics... Defining the remaining Tetris pieces... Writing the TypeScript implementation... Building the HTML structure... I'm outlining the core architecture with TypeScript interfaces and a main game class that will handle the board state, active piece, next queue, hold functionality, and all the game mechanics like rotation with wall kicks, lock delay, and scoring.\n\nWriting the class implementation... I need to convert these wall kick offsets from standard Tetris coordinates (where y increases upward) to canvas coordinates (where y increases downward), so I'll negate the y values when applying them during rotation checks. I'm getting tangled up in the wall kick offsets, so let me just pull the standard SRS data directly from the Tetris wiki and implement it properly rather than trying to reconstruct it from memory. I need to be more careful about the coordinate system conversion. The wiki uses (column, row from bottom) while canvas uses (column, row from top), so I need to flip the y-axis by negating it when translating the wall kick offsets. Now I'm looking at the wall kick offsets for the I piece when rotating clockwise, mapping out the coordinate shifts for each rotation state and how they translate to the canvas positioning.\n\nFor counter-clockwise rotations, I can derive them by negating the clockwise values, then I'll implement the full SRS system with all the wall kick data I've compiled rather than a simplified version.\n\nWriting the TypeScript implementation... Defining the tetromino data... Defining the Tetris piece configurations... I'm realizing I should compute the rotation states programmatically rather than hardcoding all four orientations for each piece—I can generate them by rotating the initial shape 90 degrees clockwise using a matrix rotation formula. Defining the canonical shapes for each tetromino piece...\n\nThe O piece is tricky since all its rotations are identical, but in a 4x4 matrix it'll shift position with each rotation, so I need to handle that carefully. The I piece is straightforward as a horizontal line that rotates to vertical.\n\nI'm going to precompute all rotation states explicitly for each piece to keep things clean and avoid any position-shifting issues. Defining piece data... Defining the remaining Tetris piece rotations... Defining the tetromino pieces...\n\nI'm realizing the O and I pieces don't fit neatly into the same 3x3 grid structure as the others—the O piece is 2x2 and the I piece is 4x1 or 1x4. Rather than forcing them into inconsistent bounding boxes, I should precompute the actual cell offsets for each rotation state so I can handle variable-sized pieces cleanly.\n\nActually, using 2D arrays with different dimensions per piece is simpler—I'll use 4x4 matrices for I and O, and 3x3 for the rest. The collision detection can just skip over the zeros. Let me verify the T piece rotations are correct: spawn state is an upright T, then it rotates clockwise through right-facing, upside-down, and left-facing orientations. Those all check out.\n\nNow I'm verifying the J and L piece rotations. The J piece starts with the hook on the left, then rotates through right-facing, upside-down, and left-facing versions. The L piece mirrors this with the hook on the right side instead.","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DJ8QX8EiMvAqqgiEPZBPiu","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in a browser using TypeScript. Let me build a complete Tetris game with all the standard mechanics. I'll create a well-structured TypeScript project.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript file with game logic\n3. Maybe a simple build setup\n\nActually, since this needs to run in a browser, I should think about how to compile TypeScript. Let me create a setup with:\n- `package.json` with TypeScript dependency and build scripts\n- `tsconfig.json`\n\n\n- `index.html` and `src/tetris.ts` as the core files\n\nI'll go with a proper project structure rather than trying to inline everything. For the game itself, I need to implement all seven tetrominoes with rotation mechanics, line clearing with scoring, a level system that increases speed, keyboard controls for movement and rotation, a next piece preview, hold functionality, and a ghost piece indicator.\n\nThe board will be the standard 10x20 grid. Each piece has its own color—cyan for I, yellow for O, purple for T, green for S, red for Z, blue for J, and orange for L. Scoring follows classic Tetris rules where clearing four lines at once (a Tetris) is worth significantly more than clearing lines individually. The controls map to arrow keys for movement, up arrow for clockwise rotation, Z for counter-clockwise, space for hard drop, and C to hold a piece.\n\nWriting the TypeScript implementation... Defining the Tetromino shapes...\n\nNow I'm structuring the full game architecture with a Game class to handle state and the main loop, drawing functions using Canvas, input handling for piece movement, and piece management logic. I'll style it with a dark theme, grid lines, and neon colors for that classic Tetris feel.\n\nSetting up constants and piece definitions... I'm implementing a matrix rotation function that handles both clockwise and counter-clockwise rotations by swapping and reversing coordinates appropriately, which will let me compute piece rotations on the fly instead of storing them all upfront.\n\nNow I'm planning out the full Tetris game implementation with all the core mechanics: the seven tetrominoes with their colors, a randomizer using the 7-bag system to ensure fair piece distribution, wall kick logic for rotation near boundaries, a ghost piece preview, hold functionality, line clearing with animations, scoring and level progression, and game state management including pause and restart.\n\nBuilding the complete game structure... Defining the tetromino shapes and game constants... Defining the piece shapes and colors... Writing the game logic... Writing the game class... I'm setting up the canvas contexts for the next piece preview and hold piece display, then initializing the input handlers and starting the game loop. Now I need to organize this into actual files and write out the complete implementation concisely so the user can build and run it.\n\nI'm thinking through the layout structure: hold piece on the left, main game board in the center, and the stats panel with score, level, lines, and next piece previews stacked on the right. I'll use a dark theme with neon colors for that classic arcade feel.\n\nWriting the HTML file... Building the Tetris game layout... I'm realizing I should structure this as a proper TypeScript project with separate files rather than everything inline. I'll set up a `package.json` and `tsconfig.json` to handle compilation, then write out the TypeScript source that defines the game constants, board state, and piece logic.\n\nDefining the tetromino shapes and colors... Defining the Piece interface and helper functions... Finishing the shuffle algorithm and setting up the game class...\n\nNow I'm initializing the game state with the board, piece queue, hold mechanic, and score tracking, along with timing variables for gravity and lock delay to handle piece placement.\n\nSetting up the DOM elements... Setting up the input handler with DAS (Delayed Auto Shift) logic to track held keys and trigger piece movements, rotations, and drops with appropriate timing delays and repeat rates. Setting up the keyboard repeat logic with DAS delays for continuous movement, then cleaning up timers when keys are released. Now I'm moving into the piece spawning logic.\n\nI'm initializing a new piece from the bag, copying its shape, and positioning it at the center of the board. If that spawn position is blocked, the game ends immediately. Otherwise I'm setting up the piece state and resetting the lock delay and hold status.\n\nValidating piece placement...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"292dcf49-2fb0-49a6-8137-41a99b64dc2c","uuid":"b44b6d60-33d2-4697-b286-8bfd89b9ddbb"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "off", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:11:28.280356+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:21:32.082037+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=off_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-2fkp8xky","session_id":"292dcf49-2fb0-49a6-8137-41a99b64dc2c","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"cbffeb51-0e8c-4343-9a05-42d07450a30e","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01DJ8QX8EiMvAqqgiEPZBPiu","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in a browser using TypeScript. Let me build a complete Tetris game with all the standard mechanics. I'll create a well-structured TypeScript project.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript file with game logic\n3. Maybe a simple build setup\n\nActually, since this needs to run in a browser, I should think about how to compile TypeScript. Let me create a setup with:\n- `package.json` with TypeScript dependency and build scripts\n- `tsconfig.json`\n\n\n- `index.html` and `src/tetris.ts` as the core files\n\nI'll go with a proper project structure rather than trying to inline everything. For the game itself, I need to implement all seven tetrominoes with rotation mechanics, line clearing with scoring, a level system that increases speed, keyboard controls for movement and rotation, a next piece preview, hold functionality, and a ghost piece indicator.\n\nThe board will be the standard 10x20 grid. Each piece has its own color—cyan for I, yellow for O, purple for T, green for S, red for Z, blue for J, and orange for L. Scoring follows classic Tetris rules where clearing four lines at once (a Tetris) is worth significantly more than clearing lines individually. The controls map to arrow keys for movement, up arrow for clockwise rotation, Z for counter-clockwise, space for hard drop, and C to hold a piece.\n\nWriting the TypeScript implementation... Defining the Tetromino shapes...\n\nNow I'm structuring the full game architecture with a Game class to handle state and the main loop, drawing functions using Canvas, input handling for piece movement, and piece management logic. I'll style it with a dark theme, grid lines, and neon colors for that classic Tetris feel.\n\nSetting up constants and piece definitions... I'm implementing a matrix rotation function that handles both clockwise and counter-clockwise rotations by swapping and reversing coordinates appropriately, which will let me compute piece rotations on the fly instead of storing them all upfront.\n\nNow I'm planning out the full Tetris game implementation with all the core mechanics: the seven tetrominoes with their colors, a randomizer using the 7-bag system to ensure fair piece distribution, wall kick logic for rotation near boundaries, a ghost piece preview, hold functionality, line clearing with animations, scoring and level progression, and game state management including pause and restart.\n\nBuilding the complete game structure... Defining the tetromino shapes and game constants... Defining the piece shapes and colors... Writing the game logic... Writing the game class... I'm setting up the canvas contexts for the next piece preview and hold piece display, then initializing the input handlers and starting the game loop. Now I need to organize this into actual files and write out the complete implementation concisely so the user can build and run it.\n\nI'm thinking through the layout structure: hold piece on the left, main game board in the center, and the stats panel with score, level, lines, and next piece previews stacked on the right. I'll use a dark theme with neon colors for that classic arcade feel.\n\nWriting the HTML file... Building the Tetris game layout... I'm realizing I should structure this as a proper TypeScript project with separate files rather than everything inline. I'll set up a `package.json` and `tsconfig.json` to handle compilation, then write out the TypeScript source that defines the game constants, board state, and piece logic.\n\nDefining the tetromino shapes and colors... Defining the Piece interface and helper functions... Finishing the shuffle algorithm and setting up the game class...\n\nNow I'm initializing the game state with the board, piece queue, hold mechanic, and score tracking, along with timing variables for gravity and lock delay to handle piece placement.\n\nSetting up the DOM elements... Setting up the input handler with DAS (Delayed Auto Shift) logic to track held keys and trigger piece movements, rotations, and drops with appropriate timing delays and repeat rates. Setting up the keyboard repeat logic with DAS delays for continuous movement, then cleaning up timers when keys are released. Now I'm moving into the piece spawning logic.\n\nI'm initializing a new piece from the bag, copying its shape, and positioning it at the center of the board. If that spawn position is blocked, the game ends immediately. Otherwise I'm setting up the piece state and resetting the lock delay and hold status.\n\nValidating piece placement...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"292dcf49-2fb0-49a6-8137-41a99b64dc2c","uuid":"b44b6d60-33d2-4697-b286-8bfd89b9ddbb"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014stWFUgQPG5NQMMLNpb1kB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me create a complete Tetris implementation with:\n\n1. All standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece movement (left, right, down)\n3. Piece rotation\n4. Line clearing\n5. Scoring system\n6. Increasing speed\n7. Keyboard controls\n\nI'll create the project structure with:\n- `index.html` - The main HTML file\n- `src/tetris.ts` - The TypeScript game logic\n- `package.json` - For TypeScript compilation\n\n\n- `tsconfig.json` - TypeScript configuration\n\nNow I'm thinking through the architecture: a 10x20 game board, the 7 standard tetrominoes, a game loop using requestAnimationFrame, Canvas API for rendering, and keyboard event handling. I'll define the core types for the grid, pieces, and game state, then build out the logic for piece movement, rotation, collision detection, and line clearing.\n\nDefining the TypeScript types and interfaces... I'm deciding between creating a self-contained HTML file with compiled JavaScript or setting up a proper TypeScript project structure with build tools. A full project setup with tsconfig.json, package.json, and separate source files would be cleaner, so I'll go with that approach and write out the complete game implementation.\n\nWriting the game logic... Setting up the Tetris class with canvas elements for the main game board and next piece preview, initializing all the game state properties like score, level, and game status flags, then wiring up the canvas contexts and DOM references in the constructor. Setting up the game board and piece spawning...\n\nNow I'm implementing the collision detection logic to check if a piece overlaps with existing blocks or goes out of bounds, and marking the game as over if a new piece can't be placed.\n\nWriting rotation logic... Writing game mechanics... Finishing the piece placement and then handling line clears with the scoring system for completed rows... Writing the render pipeline... Still writing cell rendering... Writing the ghost piece rendering... Still writing the rendering code... Writing game state overlays... Writing control handlers...\n\nNow I'm setting up the restart logic to reset the board, score, and game state, then initializing the game loop that tracks time between frames and handles the automatic piece dropping based on the drop interval.\n\nI need to think through the HTML structure and build setup—I'll use TypeScript with a simple compilation approach and create the necessary files for the project. Let me reconsider how to properly handle the Tetris pieces and their mechanics.\n\nI'm mapping out the standard piece shapes and their dimensions, then setting up the scoring multipliers based on how many lines are cleared at once.\n\nNow I'm thinking through the game mechanics—drop speed increases with each level, starting at 800ms and decreasing by about 83ms per level, plus I need to implement DAS for smooth horizontal movement with an initial delay and repeat rate. I'm going to build a polished Tetris game with a canvas renderer, dark theme with glowing pieces, a sidebar showing score and next piece, wall kicks for rotation, and a ghost piece preview. The layout will have the main game board on the left with a sidebar on the right for stats.\n\nBuilding the HTML structure and styles... I'm planning out the TypeScript implementation with DAS (Delayed Auto Shift) for responsive controls, and I'll structure it across a few files: the HTML entry point, the main game logic in TypeScript, and the necessary config files. Let me start writing the complete code now. Defining game constants... Defining the tetromino shapes...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"bcca1e41-d24b-4e3b-b3c9-96034a1195ac","uuid":"977795aa-b02b-41c6-a65d-c2a832f3caeb"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "off", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:11:54.203081+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:21:57.888292+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-wqm0casj","session_id":"bcca1e41-d24b-4e3b-b3c9-96034a1195ac","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"54250a5e-6e51-4260-be2e-15d361970401","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014stWFUgQPG5NQMMLNpb1kB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me create a complete Tetris implementation with:\n\n1. All standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece movement (left, right, down)\n3. Piece rotation\n4. Line clearing\n5. Scoring system\n6. Increasing speed\n7. Keyboard controls\n\nI'll create the project structure with:\n- `index.html` - The main HTML file\n- `src/tetris.ts` - The TypeScript game logic\n- `package.json` - For TypeScript compilation\n\n\n- `tsconfig.json` - TypeScript configuration\n\nNow I'm thinking through the architecture: a 10x20 game board, the 7 standard tetrominoes, a game loop using requestAnimationFrame, Canvas API for rendering, and keyboard event handling. I'll define the core types for the grid, pieces, and game state, then build out the logic for piece movement, rotation, collision detection, and line clearing.\n\nDefining the TypeScript types and interfaces... I'm deciding between creating a self-contained HTML file with compiled JavaScript or setting up a proper TypeScript project structure with build tools. A full project setup with tsconfig.json, package.json, and separate source files would be cleaner, so I'll go with that approach and write out the complete game implementation.\n\nWriting the game logic... Setting up the Tetris class with canvas elements for the main game board and next piece preview, initializing all the game state properties like score, level, and game status flags, then wiring up the canvas contexts and DOM references in the constructor. Setting up the game board and piece spawning...\n\nNow I'm implementing the collision detection logic to check if a piece overlaps with existing blocks or goes out of bounds, and marking the game as over if a new piece can't be placed.\n\nWriting rotation logic... Writing game mechanics... Finishing the piece placement and then handling line clears with the scoring system for completed rows... Writing the render pipeline... Still writing cell rendering... Writing the ghost piece rendering... Still writing the rendering code... Writing game state overlays... Writing control handlers...\n\nNow I'm setting up the restart logic to reset the board, score, and game state, then initializing the game loop that tracks time between frames and handles the automatic piece dropping based on the drop interval.\n\nI need to think through the HTML structure and build setup—I'll use TypeScript with a simple compilation approach and create the necessary files for the project. Let me reconsider how to properly handle the Tetris pieces and their mechanics.\n\nI'm mapping out the standard piece shapes and their dimensions, then setting up the scoring multipliers based on how many lines are cleared at once.\n\nNow I'm thinking through the game mechanics—drop speed increases with each level, starting at 800ms and decreasing by about 83ms per level, plus I need to implement DAS for smooth horizontal movement with an initial delay and repeat rate. I'm going to build a polished Tetris game with a canvas renderer, dark theme with glowing pieces, a sidebar showing score and next piece, wall kicks for rotation, and a ghost piece preview. The layout will have the main game board on the left with a sidebar on the right for stats.\n\nBuilding the HTML structure and styles... I'm planning out the TypeScript implementation with DAS (Delayed Auto Shift) for responsive controls, and I'll structure it across a few files: the HTML entry point, the main game logic in TypeScript, and the necessary config files. Let me start writing the complete code now. Defining game constants... Defining the tetromino shapes...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"bcca1e41-d24b-4e3b-b3c9-96034a1195ac","uuid":"977795aa-b02b-41c6-a65d-c2a832f3caeb"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014S25UaVmeHhXLVxFtdeqDx","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game that runs in the browser using TypeScript. I'll create a self-contained HTML file with TypeScript compiled to JavaScript, or better yet, I'll create proper TypeScript files with a build setup.\n\nLet me think about the structure:\n\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript file with all game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript config\n\nActually, since it needs to run in a browser, let me create a setup with:\n\n\n- `index.html` - Main HTML\n- `src/game.ts` - Game logic\n- TypeScript compilation\n\nNow I'm planning out the core game mechanics: a 10x20 board with the seven standard Tetris pieces, keyboard controls for movement and rotation, a game loop using requestAnimationFrame, and a scoring system based on cleared lines with increasing difficulty levels. I'll also add a next piece preview and display the current score, level, and line count. I'm going to render everything on a canvas element.\n\nDefining the TypeScript types and structures... Writing the Tetris implementation... Defining the game constants and piece shapes... Setting up the project structure with configuration files for TypeScript compilation and npm scripts to build and run the development environment.\n\nWriting the Tetris game code... Defining the Tetris piece shapes and setting up the core game logic... Writing game logic... Writing the game class... Setting up keyboard input handlers... Writing game mechanics... Writing game logic... Finishing the restart method by setting up the next piece and restarting the game loop, then I'm implementing the start method to initialize the UI and begin animation, followed by the main game loop that handles timing, piece dropping, collision detection, and continuous rendering.\n\nNow I'm writing the block drawing function... Writing the rendering logic... Writing the next piece preview... Writing the HTML structure...\n\nNow I'm thinking through the TypeScript configuration—for a browser-based game like this, I need to decide on the module system. Using `\"module\": \"ES2015\"` or bundling everything into a single file would work best for a straightforward setup without external dependencies. I'm realizing the cleanest approach for a browser without a bundler is to use ES modules with `\"module\": \"ES2020\"` and a module script tag in HTML, or alternatively wrap everything in an IIFE to avoid module syntax issues. Since this is a single TypeScript file with no imports, I could use CommonJS output, but that would add `exports` boilerplate that won't work in the browser—so ES modules is the better choice here.\n\nActually, I just remembered that `\"module\": \"None\"` is a valid TypeScript option that skips all module boilerplate entirely, letting the code work as a plain global script without any bundler or server requirements. I'm realizing that `\"module\": \"None\"` might not actually be valid, so let me reconsider—I could use CommonJS output with `outFile`, but that only works with AMD or System modules. The simplest approach is probably to just compile without any module system and ensure the output is a single, self-contained JavaScript 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b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "off", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:16:48.914643+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:26:54.133900+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=off_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-7h1kp93n","session_id":"c1f3df78-ce26-4ea9-ae14-527db8e2cd83","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"9136c91a-a629-4eef-9d4a-996a2c370917","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_014S25UaVmeHhXLVxFtdeqDx","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game that runs in the browser using TypeScript. I'll create a self-contained HTML file with TypeScript compiled to JavaScript, or better yet, I'll create proper TypeScript files with a build setup.\n\nLet me think about the structure:\n\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript file with all game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript config\n\nActually, since it needs to run in a browser, let me create a setup with:\n\n\n- `index.html` - Main HTML\n- `src/game.ts` - Game logic\n- TypeScript compilation\n\nNow I'm planning out the core game mechanics: a 10x20 board with the seven standard Tetris pieces, keyboard controls for movement and rotation, a game loop using requestAnimationFrame, and a scoring system based on cleared lines with increasing difficulty levels. I'll also add a next piece preview and display the current score, level, and line count. I'm going to render everything on a canvas element.\n\nDefining the TypeScript types and structures... Writing the Tetris implementation... Defining the game constants and piece shapes... Setting up the project structure with configuration files for TypeScript compilation and npm scripts to build and run the development environment.\n\nWriting the Tetris game code... Defining the Tetris piece shapes and setting up the core game logic... Writing game logic... Writing the game class... Setting up keyboard input handlers... Writing game mechanics... Writing game logic... Finishing the restart method by setting up the next piece and restarting the game loop, then I'm implementing the start method to initialize the UI and begin animation, followed by the main game loop that handles timing, piece dropping, collision detection, and continuous rendering.\n\nNow I'm writing the block drawing function... Writing the rendering logic... Writing the next piece preview... Writing the HTML structure...\n\nNow I'm thinking through the TypeScript configuration—for a browser-based game like this, I need to decide on the module system. Using `\"module\": \"ES2015\"` or bundling everything into a single file would work best for a straightforward setup without external dependencies. I'm realizing the cleanest approach for a browser without a bundler is to use ES modules with `\"module\": \"ES2020\"` and a module script tag in HTML, or alternatively wrap everything in an IIFE to avoid module syntax issues. Since this is a single TypeScript file with no imports, I could use CommonJS output, but that would add `exports` boilerplate that won't work in the browser—so ES modules is the better choice here.\n\nActually, I just remembered that `\"module\": \"None\"` is a valid TypeScript option that skips all module boilerplate entirely, letting the code work as a plain global script without any bundler or server requirements. I'm realizing that `\"module\": \"None\"` might not actually be valid, so let me reconsider—I could use CommonJS output with `outFile`, but that only works with AMD or System modules. The simplest approach is probably to just compile without any module system and ensure the output is a single, self-contained JavaScript 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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Xv7PS9zhnrC2PJwGTdABou","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with all standard mechanics. I'll create the project structure with TypeScript and use a simple HTML canvas for rendering.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main game logic in TypeScript\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript config\n\nOr I could keep it simpler and just create an HTML file with inline TypeScript compiled to JavaScript. \n\nBut since they specifically asked for TypeScript, I should use actual TypeScript with compilation. I'll set up a proper project with package.json, tsconfig.json, and organize the game logic in src/game.ts with an HTML entry point. For the game itself, I need to implement the seven standard Tetrominoes with their rotation states, a 10x20 grid, piece movement and rotation mechanics with wall kicks, line clearing detection, and the classic Nintendo scoring system.\n\nWriting Tetris game code... I'm planning out the full Tetris game structure with separate files for logic, HTML, and config. I'll render everything on a single canvas with the game board on the left (10x20 cells at 30px each) and a side panel on the right showing the next piece, hold piece, score, level, and lines cleared. Now I'm defining the core constants and starting to build out the game logic.\n\nDefining tetromino colors and shapes... Defining the rotation states for the remaining Tetris pieces...\n\nNow I'm planning the overall structure for the browser game—I'll need an HTML file with a canvas element, a TypeScript source file for the game logic, and a package.json to handle the build and development setup.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... Defining the rotation states for the remaining Tetris pieces... Defining wall kick data... I'm setting up the full Tetris implementation with TypeScript, HTML, and configuration files, using a Canvas-based game board with a 10x20 grid and a side panel for game info like score and next piece preview.\n\nDefining the tetromino shapes... Writing the complete Tetris implementation... Setting up the type definitions and game constants...\n\nDefining the tetromino shapes for all rotation states... Defining the rotation states for the remaining Tetris pieces... Defining the rotation states for more Tetris pieces... Defining the wall kick offset data... Defining wall kick offset tables... Setting up the game class properties...\n\nI'm initializing the canvas dimensions based on the board size and side panel width, then creating an empty board, filling the piece bag using a 7-bag randomizer with Fisher-Yates shuffle, queuing up the next pieces, spawning the first piece, and starting the game loop with input controls. Setting up the spawned piece with its initial position and rotation, then checking if that spawn position is valid to determine if the game is over.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"497a2ad3-38df-4092-9c3d-eaa2c7d68381","uuid":"a1b12dd6-f110-42a0-ad9c-1d7205c31924"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "off", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:18:30.718245+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:28:34.152770+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-5xg4xitj","session_id":"497a2ad3-38df-4092-9c3d-eaa2c7d68381","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"1d549199-cc3f-4224-acf1-c8beb7db9738","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01Xv7PS9zhnrC2PJwGTdABou","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with all standard mechanics. I'll create the project structure with TypeScript and use a simple HTML canvas for rendering.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main game logic in TypeScript\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript config\n\nOr I could keep it simpler and just create an HTML file with inline TypeScript compiled to JavaScript. \n\nBut since they specifically asked for TypeScript, I should use actual TypeScript with compilation. I'll set up a proper project with package.json, tsconfig.json, and organize the game logic in src/game.ts with an HTML entry point. For the game itself, I need to implement the seven standard Tetrominoes with their rotation states, a 10x20 grid, piece movement and rotation mechanics with wall kicks, line clearing detection, and the classic Nintendo scoring system.\n\nWriting Tetris game code... I'm planning out the full Tetris game structure with separate files for logic, HTML, and config. I'll render everything on a single canvas with the game board on the left (10x20 cells at 30px each) and a side panel on the right showing the next piece, hold piece, score, level, and lines cleared. Now I'm defining the core constants and starting to build out the game logic.\n\nDefining tetromino colors and shapes... Defining the rotation states for the remaining Tetris pieces...\n\nNow I'm planning the overall structure for the browser game—I'll need an HTML file with a canvas element, a TypeScript source file for the game logic, and a package.json to handle the build and development setup.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... Defining the rotation states for the remaining Tetris pieces... Defining wall kick data... I'm setting up the full Tetris implementation with TypeScript, HTML, and configuration files, using a Canvas-based game board with a 10x20 grid and a side panel for game info like score and next piece preview.\n\nDefining the tetromino shapes... Writing the complete Tetris implementation... Setting up the type definitions and game constants...\n\nDefining the tetromino shapes for all rotation states... Defining the rotation states for the remaining Tetris pieces... Defining the rotation states for more Tetris pieces... Defining the wall kick offset data... Defining wall kick offset tables... Setting up the game class properties...\n\nI'm initializing the canvas dimensions based on the board size and side panel width, then creating an empty board, filling the piece bag using a 7-bag randomizer with Fisher-Yates shuffle, queuing up the next pieces, spawning the first piece, and starting the game loop with input controls. Setting up the spawned piece with its initial position and rotation, then checking if that spawn position is valid to determine if the game is over.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"497a2ad3-38df-4092-9c3d-eaa2c7d68381","uuid":"a1b12dd6-f110-42a0-ad9c-1d7205c31924"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"result","subtype":"error_max_budget_usd","duration_ms":464237,"duration_api_ms":100029,"is_error":true,"num_turns":1,"stop_reason":"tool_use","session_id":"3b99c715-a4e2-4f7d-a850-28cfa0db714a","total_cost_usd":0.58716495,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"output_tokens":8000,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":487},"inference_geo":"","iterations":[],"speed":"standard"},"modelUsage":{"claude-sonnet-4-6":{"inputTokens":6,"outputTokens":38842,"cacheReadInputTokens":8969,"cacheCreationInputTokens":487,"webSearchRequests":0,"costUSD":0.58716495,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"fast_mode_state":"off","uuid":"e81e3da9-0f8c-4343-9c0b-6530fc5228e2","errors":["Reached maximum budget ($0.5)"]} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "off", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:21:27.461359+00:00", - "wall_time_seconds": 464, - "exit_code": 1, - "completed_at": "2026-04-03T21:29:16.067530+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=off_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,7 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-fzndjvgb","session_id":"3b99c715-a4e2-4f7d-a850-28cfa0db714a","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"c24d17bc-fd99-4c59-87e9-c9df63ca56ea","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01T7PyndD31cRz6ogiAmRWsc","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main TypeScript file with all game logic\n3. `tsconfig.json` - TypeScript configuration\n4. `package.json` - Package configuration\n\nThe game will include:\n- All 7 standard Tetrominos (I, O, T, S, Z, J, L)\n- Piece rotation (with wall kicks)\n\n\n- Line clearing and scoring based on lines cleared\n- Increasing speed as levels progress\n- Keyboard controls for movement and rotation\n- Next piece preview, hold piece functionality, and ghost piece display\n- Score, level, and lines counters\n\nI'll set up a proper project structure with TypeScript compilation...\n\nWriting game implementation... Defining the Tetris constants and piece data... Defining the rotation states for the remaining Tetris pieces... Defining tetromino rotations...\n\nNow I'm deciding on the best way to set up the project—whether to use a build tool or keep it simple with inline compilation. I think the cleanest approach is to write TypeScript and compile it directly in the browser without needing a complex build setup.\n\nActually, let me reconsider. Setting up a proper project structure with TypeScript, a build script, and npm makes more sense for maintainability. I'll create a package.json with a build script, a tsconfig for TypeScript compilation, and organize the source files properly so the user can just run npm install and npm run build to get everything working.\n\nWriting the full Tetris implementation... Writing the HTML and CSS structure... I'm defining the core game class with properties for tracking the board state, current and next pieces, score, level, and game status. The constructor will initialize everything, and I'll have methods for starting the game, updating game logic each frame, rendering to the canvas, and handling player input. Now I'm working through the wall kick system for piece rotation, implementing the standard SRS rules with different kick data for the I-piece versus other tetromino types. Now I'm looking at the wall kick data for the I-piece, which has different offset values for each rotation transition compared to the standard pieces. I'm listing out all the wall kick offset combinations for different rotation transitions, but I realize I'm making this too complicated. Let me simplify and just implement basic rotation with a couple of straightforward wall kick attempts instead of the full SRS system.\n\nI'll try rotating in place first, then if that's blocked, shift left or right by one or two cells to find a valid position. This should feel responsive enough for a playable game. Now I'm ready to start coding the actual implementation across multiple files: the HTML entry point, TypeScript configuration, package setup, and the main game logic file.\n\nFor the visual design, I'm going with a dark theme using a deep navy background, a subtle grid on the board, and colorful pieces with gradient effects to make them pop against the dark backdrop. The UI panel on the right will be clean and minimal.\n\nWriting the TypeScript game logic... I'm settling on defining each piece as an array of 4x4 matrices, where each matrix represents one rotation state, with 1s marking the filled cells and 0s for empty space.\n\nDefining piece rotations... Defining the rotation states for the remaining Tetris pieces... Finishing up the piece rotation definitions, then moving on to spawn logic where pieces appear centered at the top of the board, with the I and O pieces positioned slightly lower to account for their empty rows. Now I'm writing out the full TypeScript implementation with a 7-bag randomizer for piece selection.\n\nI'm planning the core game mechanics: ghost piece preview, hold functionality, basic wall kick rotation, lock delay before pieces settle, and SRS rotation system. For scoring I'll use the classic Nintendo formula scaling with level, and for gravity I'm implementing the Game Boy Tetris speed curve where drop intervals get progressively faster as levels increase.\n\nWriting the complete game logic... Writing the game code... Defining the rotation states for the remaining piece types... I'm realizing the piece definitions need to be standardized—the O piece is 2×2 while others are 3×3, which could cause problems. Instead of using fixed grid sizes, I'll switch to storing each piece as an array of [row, col] offset pairs relative to the piece's origin, which is much cleaner to work with.\n\nDefining piece cells with offsets... Defining the rotation states for the remaining tetromino pieces...\n\nNow I'm thinking about the spawn positions—the I piece needs to be centered horizontally on the 10-wide board, so it starts at column 3, while the other pieces will have their own positioning logic. I need to adjust the spawn position so pieces start in the hidden area above the visible board rather than at row 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"3b99c715-a4e2-4f7d-a850-28cfa0db714a","uuid":"aa6b75e0-af75-4280-9654-a6c1bf06b059"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01V9pBQyp58tsgNHx7TjPXPE","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in a browser using TypeScript. Let me build a complete Tetris game with:\n\n1. All standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z for rotation)\n\nI'll create a TypeScript project with:\n- `index.html` - the HTML file\n- `src/game.ts` - the main game logic\n- `tsconfig.json` - TypeScript configuration\n\n\n- `package.json` - for building\n\nNow I'm designing the game structure: a 10x20 board with all seven standard Tetris pieces, each with their own colors and rotation states. I'll implement line clearing with a scoring system that multiplies points by the current level, and keyboard controls for movement, rotation, and dropping pieces.\n\nFor scoring, I'm setting up a progression where clearing four lines gives 800 points per level, with the level advancing every 10 lines cleared and the game speed increasing accordingly.\n\nI'll organize this as a TypeScript project with separate files for the HTML, game logic, and configuration, then compile it down to JavaScript for the browser.\n\nDefining the piece shapes and colors... Setting up the game constants and piece definitions...\n\nNow I'm planning the project structure with TypeScript configuration, HTML entry point, and the main game logic file. I'll organize it cleanly with package.json, tsconfig.json, and the game implementation in a separate source file.\n\nFor the Tetris pieces, I'm defining the standard SRS rotation system with the classic I, O, T, S, Z, J, and L shapes, then implementing the game constants like grid dimensions, block size, and color mappings for each piece type.\n\nWriting the game engine... Defining the piece shapes... Defining the Tetris piece rotations... I'm laying out the project structure with TypeScript configuration and setting up the core game mechanics—a standard 10x20 Tetris board with all seven piece types, rotation controls, ghost piece preview, and hard/soft drop functionality. The scoring system scales with level, lines clear with animation, and I'm including hold piece mechanics and game over detection with restart capability.\n\nWriting the game logic... Defining the ActivePiece class to manage individual tetromino pieces with their position, rotation, and color properties.\n\nNow I'm thinking through the overall game architecture more carefully—the board as a 2D grid tracking filled cells, collision detection between the active piece and existing blocks or boundaries, merging pieces into the board when they land, clearing complete rows, and implementing scoring with level progression that increases speed every 10 lines cleared.\n\nWriting the complete Tetris implementation... Writing the HTML structure... Writing the game logic... Writing the complete Tetris implementation... Defining the piece shapes for each Tetris piece type and setting up the scoring system for line clears.\n\nNow I'm writing utility functions to handle the game mechanics—calculating how quickly pieces drop based on the current level, and implementing rotation logic to spin pieces clockwise and counter-clockwise.\n\nDefining the Piece interface and helper functions...\n\nNow I'm implementing a 7-bag randomizer for piece selection, which ensures each piece type appears exactly once before reshuffling, and then starting to set up the main Tetris game class with canvas rendering.\n\nSetting up the game state... Setting up the hold canvas and initializing the game board, then loading the high score from storage and attaching keyboard event listeners before drawing the initial state.\n\nNow I'm resetting the board and game state for a new game—creating a fresh piece bag, zeroing out the score and level, spawning the first piece, and starting the game loop with requestAnimationFrame.\n\nContinuing with the spawn logic...\n\nI'm checking if the new piece can be placed at its spawn position, and if not, the game ends. Then I'm validating piece positions by iterating through the shape matrix to ensure all occupied cells stay within bounds and don't collide with existing blocks on the board. After that, I'm merging the current piece onto the board by placing its color values at the appropriate grid positions, and finally scanning through rows to identify which ones are completely filled so they can be cleared.\n\nNow I'm implementing the line-clearing logic and score calculation—removing full rows and shifting the board down, then updating the score based on how many lines were cleared and adjusting the level accordingly.\n\nNow I'm handling the piece dropping mechanics: the regular drop moves the piece down one row if possible, otherwise it merges the piece onto the board, clears any completed lines, updates the score, and spawns a new piece. The hard drop instantly moves the piece to the bottom and awards bonus points for the distance traveled.\n\nFor rotation, I'm implementing wall kick logic that tries to rotate the piece and if it collides, attempts several horizontal offsets to find a valid position.\n\nNow I'm handling the hold mechanic, which swaps the current piece with a held piece or stores it if nothing's held yet, and I'm also working on the ghost piece logic that shows where the current piece would land.\n\nContinuing with game controls... Writing game loop logic...\n\nNow I'm implementing the block rendering function that fills in each tetromino piece with a color, then adds highlights and shadows to give it a 3D appearance. Still writing the rendering logic... Drawing the current piece and handling game state overlays...\n\nNow I'm finishing the overlay rendering method that darkens the screen and displays centered text for different game states, then moving into the preview piece drawing logic. Writing component methods...\n\nNow I'm finishing up the game class with the high score persistence logic, then I need to set up the HTML file with styling and the build configuration so the user can actually run this locally. Setting up the build configuration...\n\nNow I'm working through the dimensions for the game board and preview canvas to make sure everything fits properly on screen.\n\nRefining the game loop logic... I'm planning out the visual design with a dark navy background and the classic Tetris color palette for each piece type, plus some gradient effects to make the blocks look polished. The I piece needs special handling for rotation since it has a 4x4 bounding box, but a simple matrix rotation would just flip between 1x4 and 4x1 matrices. I'll define the four rotation states explicitly rather than computing them dynamically to match the standard Tetris layout.\n\nFor now, I'll keep the implementation simple with basic rotation and accept minor centering offsets—the game will still be fully playable without implementing full SRS wall kick behavior.\n\nNow I'm ready to write the actual code. I'll create the project files: `package.json`, `tsconfig.json`, `index.html`, and the main game logic in TypeScript. I want to make sure the styling looks polished too, so I'm setting up a dark theme with proper layout and typography.\n\nWriting the stylesheet... I'm setting up the styling for the game panels and controls—defining how the next piece preview and hold box display, along with the control instructions text styling.\n\nNow I'm ready to write out the full implementation. I'll handle the piece rotation logic by defining the tetromino shapes as 2D arrays and rotating them using matrix operations, keeping the pieces centered after each rotation.\n\nFor spawning, I need to calculate the correct x position for each piece type based on the board width, and I'm deciding whether to start pieces at y=0 or y=-1 depending on the shape to match standard Tetris behavior.\n\nNow I'm writing the game logic code... Setting up the scoring system and helper functions for the game mechanics. I'm defining the point values for clearing lines at different quantities, then implementing utilities to calculate drop speed based on difficulty level and rotate pieces clockwise on the grid.\n\nNow I'm handling counter-clockwise rotation by chaining three clockwise rotations together, then setting up a randomizer class that uses a 7-bag system to ensure fair piece distribution—it shuffles all seven piece types and dispenses them one at a time before refilling the bag.\n\nDefining the Piece interface and game state... Setting up the constructor to grab canvas contexts and DOM elements from the page, then initializing the board state and loading the high score from local storage before refreshing the UI.\n\nNow I'm attaching a keyboard listener and drawing the initial game state, then defining helper methods for the board—creating an empty grid and validating whether a piece can move to a new position by checking bounds and collision detection.\n\nImplementing the merge logic to lock the current piece onto the board, and the sweep function to detect and clear completed rows while shifting everything down. Writing game mechanics... I'm finishing up the hold piece logic by storing the current piece type, then moving into the ghost piece calculation which drops a copy of the current piece to show where it would land. After that, I'm initializing the game state in the start method by resetting the board, bag, score, level, and line counter.\n\nNow I'm setting up the game loop with the animation frame callback, which checks if the game is over or paused, calculates the time delta since the last frame, and triggers automatic piece drops based on the level's drop interval.\n\nStill writing game loop... Writing input handlers... Writing the drawing methods... Drawing the ghost piece with semi-transparent styling, then rendering the active falling piece on top of it.\n\nNow I'm handling the overlay states—checking if the game hasn't started, is over, or paused, and displaying the appropriate message with a dark semi-transparent background covering the board.\n\nStyling the overlay text... Writing the rendering method...\n\nNow I'm setting up the draw pipeline to render the game board and preview windows, then updating the UI to display the current score, level, and line count. I need to handle saving the high score when appropriate.\n\nBuilding the HTML structure... Still writing styles... Building the HTML structure... Finishing up the HTML structure with panels for lines cleared, then setting up the TypeScript configuration to compile the game code to ES2017 with strict type checking, and defining the basic project metadata in package.json.\n\nNow I'm verifying the canvas dimensions—the main board should be 300x600 pixels based on the grid and block size, and the preview windows at 120x120 give enough space for any tetromino. I need to trace through the hold piece logic to make sure swapping works correctly when there's no previously held piece. I'm realizing there's a subtle issue with how `spawn` and `holdPiece` interact. When `holdPiece` is called without a held piece, it uses the same logic as `spawn` to set the current and next pieces, but I need to make sure the flow is consistent across both functions and that `canHold` is being reset properly in all cases. I'm replacing current with next, and generating a new next.\n\nBut I also need to set canHold to false after holding, and I'm doing that. But I need to make sure the canHold reset happens in `spawn` (when a new piece spawns, canHold resets to true). That's already there.\n\nWait, in `holdPiece`, I'm not calling `spawn` - I'm directly setting `this.current`. So `canHold` won't be automatically reset. I need to be careful about this.\n\nThe flow for hold:\n1. Player presses C\n2. `holdPiece()` is called\n3. Current piece is swapped with held piece (or next if no held)\n4. `canHold = false`\n5. Player plays the new current piece\n6. When it lands, `land()` is called → `spawn()` is called\n7. In `spawn()`, `canHold = true` is set\n\nThis is the correct flow. The player can only hold once per piece (can't hold the piece they just got from hold). This is reset when a new piece spawns.\n\nOK, the logic looks correct. Now I need to write the files. One more thing: in the `softDrop` function, I'm both dropping and incrementing score, but the score increment should only happen when the user explicitly presses down, not during automatic drop. I'm separating these by having `autoFall` just move the piece down, while `softDrop` moves it down and adds to the score.\n\nRefining the approach: I'll have three distinct functions - `drop` for automatic gravity with no score bonus, `softDrop` for manual down presses that add 1 point per row, and `hardDrop` for space bar that adds 2 points per row. Implementing these separate functions...\n\nAlso need to add null checks in the key handler to prevent errors when there's no active piece.\n\nI should reset the drop accumulator after holding a piece so the new piece doesn't immediately land if the counter was already high.\n\nNow I'm verifying the piece initialization flow—after `start()` is called, both `current` and `next` are guaranteed to be set, so when `holdPiece` swaps pieces, there's always a valid `next` to assign to `current`.\n\nLet me trace through the `sweep` function to make sure the line-clearing logic is sound. It iterates from the bottom row upward, and when it finds a complete row, it removes it and adds a blank row at the top, then increments the row counter to recheck that same index since a new row has shifted down into it. Tracing through the logic, when I increment r inside the loop body and then the for loop decrements it, I effectively stay at the same row index to recheck it after the splice operation. This means consecutive full rows get handled correctly—each one gets removed and replaced with an empty row, and the loop naturally progresses once no more full rows exist at that position.\n\nThe implementation looks solid. I should also verify the `softDrop` behavior when it lands a piece—if it triggers `spawn()` and the game ends, `spawn()` will set the game over flag and redraw, but then the keyboard handler will call `draw()` again, which is just a redundant render and not an issue.\n\nNow I'm ready to write out all the final files.\n\nI need to set up the project structure with `package.json`, `tsconfig.json`, `index.html`, and the main game file, then compile everything. One thing to keep in mind is making sure the canvas dimensions in the HTML match what the TypeScript expects—the board needs to be 300x600 pixels, and both the next and hold previews need to be 120x120 pixels.\n\nWriting the project files... I'm checking the canvas dimensions and verifying they match across HTML and TypeScript—the board is 300x600 and the preview canvases are 120x120, which all check out. Looking at the preview grid logic, I realize the I piece centering might be slightly off since a 5x5 preview grid with a 1x4 piece doesn't divide evenly, leaving it flush to one side rather than perfectly centered. I'm realizing I should switch to pixel-based coordinates for the preview drawing instead of grid coordinates, which would let me handle the centering math more cleanly without worrying about fractional grid positions. Writing the complete implementation... Setting up the Tetris piece definitions with their colors and shapes, then defining helper functions for game mechanics like calculating drop speed based on level and rotating pieces clockwise.\n\nNow I'm implementing a 7-bag randomizer class that ensures each of the seven Tetris piece types appears exactly once before reshuffling, using Fisher-Yates shuffling to pick the next piece.\n\nDefining the Piece interface and a factory function to create new pieces with their initial position centered at the top of the board, then setting up the main Tetris game class with canvas contexts for the board, next piece preview, and hold piece display.\n\nNow I'm establishing the game state properties—tracking the current and next pieces, the hold queue, the game board itself, score metrics, and various flags for game status like whether it's started, paused, or over, plus timing variables for the drop acceleration.\n\nSetting up the constructor to grab the canvas contexts and DOM elements, loading the high score from localStorage, initializing an empty board, and wiring up keyboard input...\n\nNow I'm defining helper methods for the board logic, starting with a function that creates an empty grid and another that validates whether a piece can occupy a given position by checking bounds and collision detection.\n\nI'm also implementing the merge operation that locks the current piece onto the board by copying its colored cells, and a sweep function that clears completed rows and shifts the remaining ones down.\n\nNow I'm handling piece spawning, where I pull the next piece from the queue and check if it fits—if not, the game ends. When a piece lands, I merge it, clear any completed lines, and update the score and level based on how many lines were cleared.\n\nContinuing with the movement logic...\n\nNow I'm implementing the hard drop to instantly place the piece while awarding points, then handling rotation with wall kick offsets to allow pieces to rotate near boundaries, and finally the hold mechanic to swap the current piece with a stored one. Writing game initialization...\n\nNow I'm handling the game loop with delta time calculations to trigger automatic piece drops based on the current level, then setting up keyboard controls to manage game state like pausing and restarting.\n\nHandling keyboard input for piece movement and rotation...\n\nNow I'm setting up the rendering system with a function to draw individual blocks on the canvas, adding highlights and shading effects.\n\nContinuing with the shape rendering...\n\nNow I'm setting up the main render method that handles drawing the game board, the next piece preview, and the held piece display. For the board itself, I'm filling it with a dark background and then drawing a subtle grid overlay by iterating through each row and column to create the visual cell boundaries.\n\nAfter that, I'm drawing all the locked pieces that are already placed on the board, and then rendering the ghost piece which shows where the current falling piece would land if dropped straight down. Writing the rendering logic... Still writing canvas rendering... Finishing up the UI update methods and the initialization code. Now I'm moving on to write the HTML, package.json, and tsconfig.json files, but I want to double-check the collision detection in the piece rendering—the bounds checking should be consistent across all directions. for `ny < 0`, so pieces can extend above the board during spawn, which is the correct behavior. Now I'm ready to write out all the files—I'll start with the directory structure and then create each 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":0,"cache_read_input_tokens":4728,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"3b99c715-a4e2-4f7d-a850-28cfa0db714a","uuid":"0f43424f-5d68-4133-9fdf-9819915414bf"} 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a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01LTE8dsmxh2cUNvSsT5JQov","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with all standard mechanics:\n\n1. All 7 standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up for rotation)\n\nI'll create:\n- `index.html` - The main HTML file\n- `src/game.ts` - The TypeScript game logic\n\n\n- `tsconfig.json` - TypeScript configuration\n\nFor a browser-based TypeScript project, I'll set up a simple compilation approach with the TypeScript files and configuration, then compile them to JavaScript that runs directly in the browser.\n\nNow I'm mapping out the complete game mechanics: a standard 10x20 Tetris board with the seven classic pieces, each with their distinct colors. The controls will use arrow keys for movement and rotation, space for hard drops, and P to pause. I'm planning the scoring system with multipliers based on lines cleared and level progression, where the game speeds up every 10 lines completed.\n\nSetting up the TypeScript project structure with the necessary configuration files and source directory. I'm defining all the core types and constants for the game, then building out the tetromino definitions and game logic... Defining the remaining tetromino shapes... Writing the game class... Setting up the canvas contexts and initializing the game board with an empty grid, then creating the first piece and next piece for the queue before setting up input handlers and starting the game loop.\n\nNow I'm implementing the collision detection logic that checks if a piece would overlap with the board boundaries or existing blocks when moved, and then the lock piece method to finalize a piece's position on the board.\n\nImplementing line clearing logic... Writing movement logic... Writing game logic methods... Writing the input handler... Writing the block rendering function... Writing the rendering logic... Rendering the next piece preview... Finishing the animation loop and then setting up the game initialization when the DOM loads—I'm configuring the canvas dimensions, creating a new Tetris game instance, and wiring up the button event listeners for restart, pause, and play again functionality.\n\nNow I'm thinking through the HTML structure and styling to make it visually polished. I also need to reconsider the update function logic—there's a potential issue where paused or game over states still call draw but shouldn't keep scheduling animation frames, though unpausing should resume the loop properly.\n\nRefining the update loop...\n\nThe key is that when paused or game over, we draw once and exit without scheduling the next frame. When unpausing, we reset the timing state and manually call `update` to restart the animation loop, which ensures the delta calculation doesn't get thrown off by the pause duration.\n\nI'm tracing through the game over scenario to make sure there's no issue: when `moveDown` triggers `lockPiece` which spawns a new piece and sets `gameOver = true`, the current `update` call continues and draws the final state, then requests the next frame. That next frame immediately sees `gameOver = true` at the start and stops, so there's no real problem—just one extra frame request that gets caught.\n\nBut I'm noticing a bigger issue with the initial `update(0)` call: if `lastTime` starts at 0 and the first real frame comes in with a large timestamp, the delta will be huge and the piece will drop instantly. I need to either initialize `lastTime` to the current time or handle the first frame specially.\n\nRefactoring the update loop to call `requestAnimationFrame` in the constructor instead, then checking the game state before scheduling the next frame...\n\nRestructuring the update method...\n\nIn `togglePause`, I need to reset `lastTime` to the current time when resuming so the delta doesn't spike from the pause duration, then restart the animation loop.\n\nFor the `update` method, I'm checking if `lastTime` is greater than 0 to skip the first frame since it would have an artificially large delta from initialization. After that, the logic calculates the time delta, accumulates it in the drop counter, and triggers a piece drop when the counter exceeds the current speed threshold.\n\nContinuing with the update logic... Finishing the update loop logic...\n\nI'm simplifying the wall kick system for the I piece by testing a series of horizontal offsets to find a valid rotation position, which should be sufficient for a basic Tetris implementation.","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "off", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:00:16.106372+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:10:19.697934+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-q9v5p087","session_id":"47c68084-4282-4e2c-afdd-88e9321e37b6","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"e17bae00-c71a-4d7f-a3b9-3442edbb2000","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01LTE8dsmxh2cUNvSsT5JQov","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with all standard mechanics:\n\n1. All 7 standard Tetris pieces (tetrominoes): I, O, T, S, Z, J, L\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up for rotation)\n\nI'll create:\n- `index.html` - The main HTML file\n- `src/game.ts` - The TypeScript game logic\n\n\n- `tsconfig.json` - TypeScript configuration\n\nFor a browser-based TypeScript project, I'll set up a simple compilation approach with the TypeScript files and configuration, then compile them to JavaScript that runs directly in the browser.\n\nNow I'm mapping out the complete game mechanics: a standard 10x20 Tetris board with the seven classic pieces, each with their distinct colors. The controls will use arrow keys for movement and rotation, space for hard drops, and P to pause. I'm planning the scoring system with multipliers based on lines cleared and level progression, where the game speeds up every 10 lines completed.\n\nSetting up the TypeScript project structure with the necessary configuration files and source directory. I'm defining all the core types and constants for the game, then building out the tetromino definitions and game logic... Defining the remaining tetromino shapes... Writing the game class... Setting up the canvas contexts and initializing the game board with an empty grid, then creating the first piece and next piece for the queue before setting up input handlers and starting the game loop.\n\nNow I'm implementing the collision detection logic that checks if a piece would overlap with the board boundaries or existing blocks when moved, and then the lock piece method to finalize a piece's position on the board.\n\nImplementing line clearing logic... Writing movement logic... Writing game logic methods... Writing the input handler... Writing the block rendering function... Writing the rendering logic... Rendering the next piece preview... Finishing the animation loop and then setting up the game initialization when the DOM loads—I'm configuring the canvas dimensions, creating a new Tetris game instance, and wiring up the button event listeners for restart, pause, and play again functionality.\n\nNow I'm thinking through the HTML structure and styling to make it visually polished. I also need to reconsider the update function logic—there's a potential issue where paused or game over states still call draw but shouldn't keep scheduling animation frames, though unpausing should resume the loop properly.\n\nRefining the update loop...\n\nThe key is that when paused or game over, we draw once and exit without scheduling the next frame. When unpausing, we reset the timing state and manually call `update` to restart the animation loop, which ensures the delta calculation doesn't get thrown off by the pause duration.\n\nI'm tracing through the game over scenario to make sure there's no issue: when `moveDown` triggers `lockPiece` which spawns a new piece and sets `gameOver = true`, the current `update` call continues and draws the final state, then requests the next frame. That next frame immediately sees `gameOver = true` at the start and stops, so there's no real problem—just one extra frame request that gets caught.\n\nBut I'm noticing a bigger issue with the initial `update(0)` call: if `lastTime` starts at 0 and the first real frame comes in with a large timestamp, the delta will be huge and the piece will drop instantly. I need to either initialize `lastTime` to the current time or handle the first frame specially.\n\nRefactoring the update loop to call `requestAnimationFrame` in the constructor instead, then checking the game state before scheduling the next frame...\n\nRestructuring the update method...\n\nIn `togglePause`, I need to reset `lastTime` to the current time when resuming so the delta doesn't spike from the pause duration, then restart the animation loop.\n\nFor the `update` method, I'm checking if `lastTime` is greater than 0 to skip the first frame since it would have an artificially large delta from initialization. After that, the logic calculates the time delta, accumulates it in the drop counter, and triggers a piece drop when the counter exceeds the current speed threshold.\n\nContinuing with the update logic... Finishing the update loop logic...\n\nI'm simplifying the wall kick system for the I piece by testing a series of horizontal offsets to find a valid rotation position, which should be sufficient for a basic Tetris implementation.","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01X29BtzYaMC2jWB7TWdVdLX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in a browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript game file\n3. `tsconfig.json` - TypeScript configuration\n4. `package.json` - Package configuration\n\nActually, since this needs to run in a browser without a build step being complex, let me think about the best approach. I could:\n1. Use a simple setup with TypeScript and compile to JavaScript\n\n\n2. Create a self-contained HTML file with TypeScript compiled inline\n\nI'll go with a proper project structure using `package.json`, `tsconfig.json`, `src/tetris.ts` for the main game logic, and `index.html` for rendering with HTML Canvas.\n\nFor the game itself, I need to implement the seven standard Tetris pieces with their rotation states, handle piece spawning at the top center, apply gravity with increasing speed, manage left/right movement and rotation mechanics, detect line clears, track the score, and handle game over conditions.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... Defining the rotation states for the remaining Tetris pieces... Defining wall kick data for different piece types... Setting up the game mechanics with a function that calculates drop speed based on level, then defining the core data structures for pieces and the game board, along with the main Tetris class that manages the canvas, game state, and all the key variables like score, level, and piece tracking.\n\nInitializing the constructor to grab the canvas elements and set up event listeners, then creating helper methods to build the empty board and handle keyboard input.\n\nNow I'm handling the key press logic—checking if the game has started, managing pause and game over states, then routing arrow keys to move the piece left, right, or trigger a soft drop.\n\nContinuing with rotation controls and the hard drop action, then setting up the start method to initialize the board, reset the score and level, spawn the first piece, and kick off the game loop. Writing game logic... Writing piece rotation logic... Still writing game logic... Writing game logic... Finishing the block drawing function...\n\nNow I'm implementing the ghost block preview with a semi-transparent outline, then setting up the main draw method that clears the canvas with a dark background and starts rendering the grid lines. Writing the rendering logic... Writing the game overlay screens... Writing the next piece preview... Setting up the game initialization and now thinking through the project structure—I could go with a TypeScript setup using a bundler like Parcel, or keep it simpler with just tsc and a static server, but I'm leaning toward a self-contained approach that runs directly in the browser without extra build complexity.\n\nI'm planning the file structure with index.html, package.json, tsconfig.json, and the source in src/tetris.ts that compiles to dist/tetris.js. Now I'm ready to write out the complete implementation with all the core Tetris mechanics—the seven tetrominoes, proper rotation with wall kicks, and the ghost piece preview.\n\nI'll also implement the 7-bag randomizer system...\n\nImplementing the bag randomizer...\n\nNow I'm setting up the game timing with frame-based speed progression, where higher levels drop pieces faster—level 1 drops every 48 frames but by level 5 it's down to 28 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"6eb34f67-d786-466a-bc00-07ab76ac95fc","uuid":"52e7466f-e9b9-407c-92b1-e4c455c16360"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "off", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:01:18.584544+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:11:22.363143+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-jws1b2du","session_id":"6eb34f67-d786-466a-bc00-07ab76ac95fc","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"56c77ec5-5ee8-4b8a-9272-0d446ab674ba","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01X29BtzYaMC2jWB7TWdVdLX","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in a browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript game file\n3. `tsconfig.json` - TypeScript configuration\n4. `package.json` - Package configuration\n\nActually, since this needs to run in a browser without a build step being complex, let me think about the best approach. I could:\n1. Use a simple setup with TypeScript and compile to JavaScript\n\n\n2. Create a self-contained HTML file with TypeScript compiled inline\n\nI'll go with a proper project structure using `package.json`, `tsconfig.json`, `src/tetris.ts` for the main game logic, and `index.html` for rendering with HTML Canvas.\n\nFor the game itself, I need to implement the seven standard Tetris pieces with their rotation states, handle piece spawning at the top center, apply gravity with increasing speed, manage left/right movement and rotation mechanics, detect line clears, track the score, and handle game over conditions.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... Defining the rotation states for the remaining Tetris pieces... Defining wall kick data for different piece types... Setting up the game mechanics with a function that calculates drop speed based on level, then defining the core data structures for pieces and the game board, along with the main Tetris class that manages the canvas, game state, and all the key variables like score, level, and piece tracking.\n\nInitializing the constructor to grab the canvas elements and set up event listeners, then creating helper methods to build the empty board and handle keyboard input.\n\nNow I'm handling the key press logic—checking if the game has started, managing pause and game over states, then routing arrow keys to move the piece left, right, or trigger a soft drop.\n\nContinuing with rotation controls and the hard drop action, then setting up the start method to initialize the board, reset the score and level, spawn the first piece, and kick off the game loop. Writing game logic... Writing piece rotation logic... Still writing game logic... Writing game logic... Finishing the block drawing function...\n\nNow I'm implementing the ghost block preview with a semi-transparent outline, then setting up the main draw method that clears the canvas with a dark background and starts rendering the grid lines. Writing the rendering logic... Writing the game overlay screens... Writing the next piece preview... Setting up the game initialization and now thinking through the project structure—I could go with a TypeScript setup using a bundler like Parcel, or keep it simpler with just tsc and a static server, but I'm leaning toward a self-contained approach that runs directly in the browser without extra build complexity.\n\nI'm planning the file structure with index.html, package.json, tsconfig.json, and the source in src/tetris.ts that compiles to dist/tetris.js. Now I'm ready to write out the complete implementation with all the core Tetris mechanics—the seven tetrominoes, proper rotation with wall kicks, and the ghost piece preview.\n\nI'll also implement the 7-bag randomizer system...\n\nImplementing the bag randomizer...\n\nNow I'm setting up the game timing with frame-based speed progression, where higher levels drop pieces faster—level 1 drops every 48 frames but by level 5 it's down to 28 frames.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"6eb34f67-d786-466a-bc00-07ab76ac95fc","uuid":"52e7466f-e9b9-407c-92b1-e4c455c16360"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_013gT56c5o9dAixhBAjZEnR3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris game with all standard mechanics.\n\nI'll create:\n1. `index.html` - The HTML file with the canvas and styling\n2. `tetris.ts` - The TypeScript source file\n3. `tetris.js` - The compiled JavaScript (or I can use a build process)\n\nActually, since this needs to run in a browser, I'll create:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - TypeScript source\n3. A compiled JS file or use a simple setup\n\n\nNow I'm planning out the core game structure with the seven standard Tetris pieces, a 10x20 grid, and mechanics for movement, rotation, hard drops, line clearing, and scoring.\n\nWriting the TypeScript code... Defining the tetromino shapes... Writing HTML and CSS... Still writing styles... Building the left panel layout... Setting up the game constants and piece definitions... Defining the tetromino shapes... Setting up the canvas contexts and initializing game state variables like score, level, and lines, along with timing properties for the drop mechanics. Setting up the game loop and piece spawning... Writing collision and rotation logic... Writing game mechanics... Still writing game logic... Continuing the game loop logic...\n\nNow I'm finishing the block drawing function by adding the 3D effect with highlight and shadow details on each block, then resetting the alpha channel.\n\nNow I'm setting up the main draw function that clears the canvas with a dark background, renders the grid lines across the entire playing field, and then iterates through the board to draw each block.\n\nStill writing rendering logic... Writing the rendering pipeline... Writing the input handler... I'm realizing the message overlay positioning is tricky since it's nested inside the relative container with the canvas, so I should draw the pause and game over states directly onto the canvas instead of using DOM elements. Let me restructure this and also refine how the preview canvases handle block sizing. me just keep it clean and use the BLOCK size for everything. The preview canvas will be 4x4 blocks.\n\nLet me think about the canvas sizing for the preview:\n- Main board: COLS * BLOCK = 10 * 30 = 300px wide, 20 * 30 = 600px tall\n- Preview: 4 * BLOCK = 120px... that might be too big\n\nLet me use a smaller size for preview, say 25px blocks:\n- Preview canvas: 4 * 25 = 100px\n\nActually let me use a PREVIEW_BLOCK size. Let me keep it at 30 for simplicity.\n\nWait, actually the panel boxes are 140px wide. If the preview canvas is 4 * 30 = 120px, that fits within 140px with padding.\n\nLet me finalize the code now. I think it's ready to write.\n\nOne more thing - I need to handle the `tsconfig.json` and compilation. Let me check if TypeScript is available and then write out all the files.\n\nWriting the implementation...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_ava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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "off", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:01:23.725642+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:11:27.432923+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=off_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-g82l3q6_","session_id":"b6af3229-4ac6-45af-bf46-d7ebae854195","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"1159654c-8b7b-4c98-9728-926adc9ed2b2","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_013gT56c5o9dAixhBAjZEnR3","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser, built with TypeScript. Let me create a complete Tetris game with all standard mechanics.\n\nI'll create:\n1. `index.html` - The HTML file with the canvas and styling\n2. `tetris.ts` - The TypeScript source file\n3. `tetris.js` - The compiled JavaScript (or I can use a build process)\n\nActually, since this needs to run in a browser, I'll create:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - TypeScript source\n3. A compiled JS file or use a simple setup\n\n\nNow I'm planning out the core game structure with the seven standard Tetris pieces, a 10x20 grid, and mechanics for movement, rotation, hard drops, line clearing, and scoring.\n\nWriting the TypeScript code... Defining the tetromino shapes... Writing HTML and CSS... Still writing styles... Building the left panel layout... Setting up the game constants and piece definitions... Defining the tetromino shapes... Setting up the canvas contexts and initializing game state variables like score, level, and lines, along with timing properties for the drop mechanics. Setting up the game loop and piece spawning... Writing collision and rotation logic... Writing game mechanics... Still writing game logic... Continuing the game loop logic...\n\nNow I'm finishing the block drawing function by adding the 3D effect with highlight and shadow details on each block, then resetting the alpha channel.\n\nNow I'm setting up the main draw function that clears the canvas with a dark background, renders the grid lines across the entire playing field, and then iterates through the board to draw each block.\n\nStill writing rendering logic... Writing the rendering pipeline... Writing the input handler... I'm realizing the message overlay positioning is tricky since it's nested inside the relative container with the canvas, so I should draw the pause and game over states directly onto the canvas instead of using DOM elements. Let me restructure this and also refine how the preview canvases handle block sizing. me just keep it clean and use the BLOCK size for everything. The preview canvas will be 4x4 blocks.\n\nLet me think about the canvas sizing for the preview:\n- Main board: COLS * BLOCK = 10 * 30 = 300px wide, 20 * 30 = 600px tall\n- Preview: 4 * BLOCK = 120px... that might be too big\n\nLet me use a smaller size for preview, say 25px blocks:\n- Preview canvas: 4 * 25 = 100px\n\nActually let me use a PREVIEW_BLOCK size. Let me keep it at 30 for simplicity.\n\nWait, actually the panel boxes are 140px wide. If the preview canvas is 4 * 30 = 120px, that fits within 140px with padding.\n\nLet me finalize the code now. I think it's ready to write.\n\nOne more thing - I need to handle the `tsconfig.json` and compilation. Let me check if TypeScript is available and then write out all the files.\n\nWriting the implementation...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_ava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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_016uSMn869PFZYQZscupCqJC","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game using TypeScript that runs in a browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nActually, since this needs to run in a browser, I'll compile the TypeScript to JavaScript. Let me think about the best approach - I could either:\n\n\n1. Use a build tool like webpack/parcel\n2. Compile TypeScript directly with tsc\n3. Use inline TypeScript that gets compiled\n\nI'll go with a simple approach: compile TypeScript with tsc and serve the HTML file. I'll create a self-contained setup.\n\nNow I'm designing the game mechanics - I need a canvas-based renderer, the seven standard Tetromino pieces, a 10x20 game board, and controls for moving and rotating pieces. I'll implement wall kick rotation, line clearing with scoring based on standard Tetris rules, a level system that increases speed, and a ghost piece preview.\n\nFor controls, I'm mapping arrow keys for movement and rotation, space for hard drop, and C for the hold piece feature.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... I'm setting up the scoring system with points for clearing lines and defining how many lines are needed to advance levels, then planning out the full implementation with features like wall kicks for rotation, ghost piece preview, hold functionality, and a 7-bag randomizer for piece selection.\n\nWriting the HTML and styles... Writing the HTML structure... Writing the game logic... Defining wall kick tables... Defining the game constants and piece data... Defining wall kick data for rotations... Defining wall kick offset tables for I-piece rotations...\n\nNow I'm verifying these against the standard SRS specifications to make sure I have the correct kick data for each rotation state. I'm realizing the coordinate system matters here—the Tetris wiki uses y-up while canvas uses y-down, so I need to be careful with conversions. Let me just implement the full SRS wall kick system properly by referencing the standard tables from the Tetris wiki. I need to reconsider how kicks actually work in practice. The board uses standard screen coordinates with (0,0) at the top-left, x increasing rightward, and y increasing downward, where a piece's position marks its bounding box's top-left corner. When rotating, I apply the rotation matrix first, then test the kick offsets. The SRS guideline defines kicks with y pointing upward, so I need to negate those y values to match my canvas coordinate system where y points down. Converting the JLSTZ clockwise rotation kicks from the guideline gives me the offset positions to test in my coordinate space. Now I'm converting these to canvas coordinates by negating the y values, which flips the kick offsets to match the downward y-axis. For counter-clockwise rotations, I need to derive them from the guideline data—the CCW kick for one state transition is the negative of the CW kick for the reverse transition. Now I'm working through the I piece rotations for counterclockwise movement, mapping out how the block positions transform across each rotation state and how they translate to canvas coordinates. I've already mapped out the rotation kick tables, so now I'm going to implement the full TypeScript Tetris game as a class-based structure with separate concerns for the board state, game mechanics, timing, and rendering to both the main canvas and a preview canvas.\n\nNow I'm thinking through the piece spawning logic—in standard Tetris, pieces appear at the top center of the board, but the exact x-position varies by piece type, and I need to account for how the I-piece and other shapes align differently on a 10-wide board. I'll simplify the spawn logic by centering each piece based on its width, with the I piece starting one row above the visible area. Now I'm ready to implement this—I need to set up the TypeScript files and get the game logic written out.\n\nWriting the game code... Defining the piece shapes and 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iAaQoCVMK+SlB+I1gBa1MDdtjx0zli7nExpd+tAycVW62NZHC/+WJj1AevhChX68XXzBnbGZGuoF32kDRwElsZ3d6AkW+IAN0T574Pi5N+QOVpDyGmk0VXwUjcMRSkGFYciWSMuMg2VamQ/1tUZPotEiOgV2NJtqamGJRPe9CGjucVqgwxJy3tKRj9aVgn3feikzXzv8K2f+/U4Pv0SqTpBeNZi47SeO/3SqzQgoYb4VzZOipXf26gEMly64CXhXKrQV1VF6s0WRsBjrkfWLhabKMeOTFv5md7OcTAMoZFQc4U8KDvC+/QmWb6W4NlUSksZKR8g07Tf3cPqS25AId43tenmRnI7TiWMjaOcwe2YfrSggaABxaNv6nZPbIdtQejwPl8aGG0Sue/NzOCA7KoaefD+LgLtrAnm1E8uI6F2+DeMLqEzy2run4gFxiHa5GbRgnDzIME3TTT1b3mRg3ZjjDmNrnDOxy0eXA5PGJi8Q0Njl0NVn3LvHznhnnG26k10t1RqTgZVun1/BileIxqWBhXl+I9YfuXOKVVTR7n/gbcI7xaKtdmyh2li2x5EUTuVHtGAb+asulPlnrdpgUIE6gAbdr2VrMn//dczz1HP0gKrxeNY9utJtBeCXnu/+Bvh9K0eaYUI+bZOAfEYSweVNuAqoc4n1URY4IV5VE516ZMIFtKfo2UMpv3Ygv0C2dkQLgiB6TO5WSQsxoFDpO/QLsakxAX+2ZiaBaZgF+5kupPewXWDDnzJgBhnCADcAAI2Lz8kxMRCvhDgUUxfEjGA7B0cwTobSJQsVV8mAEA8agZzvtqyKkWoK0nACLE71r+oUnE459ZpoqjuIEFldtl/qP8yE1V5d5KI5hBQYWQdV/lptMDN8tTwLhQ5TL9RzlRKyxsx3vnK72jqgAVzyDc6jPBUMzAAmjmCJ0EHwZI9j2iK3LlRlHfqJO3aNr01sGnoyeJKRfFGO92TNOss7CQ09kSp8bmIt14uI0DUBbvjxpMrO/OCLEvj/GVxq6wNpW5GPMipRi36uVpNcCIYXJgUHUbvnRgQ3eoLwSMXK76YWlCusvUfly6BIn5ERTLm0fExbl4c6DUht39Wt/hT/TZCBb8A7U324b7rixPf8dpMSieGmW8dqMDdAwgv7yQ9bHTYQTv4Ms072rWLLVtwl1+88kmmxj6vvl2PLCNOIs5ONrhsfQF+bUoCT/QJCIk8tMnEV0IyI1Z/c1sD6FtI73Epc5S4hub43M8ctk8D/1+DbU5P05JepomvN01wA3+OA+NFLCG43xLpigfbcIIdxibDxEoddEDlsY+1BZtcYJejuhTnol0cG11d6lBE7RsQw42XJSvDG3Nw3tma8ZWXw/TuAf7Gl9ShiDpVJ2cyfjJ84D4PhI/cqI1ZUO26ycqRNba/XXw8hhHvRjL8oEW/NSzjwMebDKw5LQmnaJZks9TzW2XiaNpD1gb8B71M58BPAOHWepss1Ch2r9Q8DnkDbY/LQ7n0sjVKMdcCBcoawxrx92q03VEkTohP5B4yCSBDGQrB9B4ysKlLEaLHCisVhX7dYBACh6WxRhR+hBBkgg6Rzj3gkn8j8XJ/GTltASjbc/G8vrlBWtCVie5DlW5TJLSv7UTP1YGlgtPmSWAPJ3vZjfnyi8dBp2o9/sGXmecogmub1A/WTf+9E7SdFqvtyaH8J7rFsUGIUiCbugQdn9VfhpW80YiX18/NyE5UhVsrBivpC6z4HsnskRUihF5NONM0qWaPXPoznh7andw+0iyocoiTR9FbZLIf9eBvf+YnUUIPDvIZSvLmhYbt8mDrFEX1g1Vy6Zq7fojZkruKa6UvYSR5f77t5UuPC5ILps2UG8dNobWYR+7kmr5w43UlsSJiV4/eKGtT1yPKiJeIHHPGsv3BXCWs8mq0fiB1t2FkPE9rN1IcO9L+m2jEs7rbGAPu3d3dbRAZhcF2sz+t9bHlOyKvMqR8wLdA+nAWC7JDhlwpPo8wogyF/Oj/x6A+gJH/eegNZyi8yBmF3fyKWx6i25QMA7mg5L5aspSefGG20r9sOmhvRke6j1++5pqAMMkm9SBsedc9zJpAju6l1JFtx5tNfTiohmzsC6Nh9LHL0cycvHKsnLiZTIpuc/5uun8SggWQVYca802VFaPje1GK2c95tg6+lYtlCPjDr8pDV+8W8wMtuWSBxGfvfVP2+FEkqtgurISLFhNeM59OjmZSxnC6oXmU3mrcUKcgflEnuyQ6GacVW0R5IY54Pi0mDhvP2AlLL/0EuyKAWg1p4xkK+lkqFSIzfTh7AZ+9rSY87lh3ieKG0Yab1axn2XQIMfCg66kGsYU63+WpGBKoQbQGtFc7NV7FFS8lGUwn4qsY/VpG4GXXdFtJBNq6sP5C9ETRBJSm04wxNRCCZenQ37ppjqyDAnHkhj+xqQtCfB8TfQqo77mNF+hSJi+r3CXQdQbw6Gz8yL3rEetdVfztAwS42GCjB8meKZZNWB4eMODbynS/HlXJcpDtgtd1tiJxL/WL945+PMAT9U0tXgS0Tummi1k5UL8zYchqgg9UBuRifHr8CGcB0pyFJ92JxcCIyQ6f/5ZqsV2S4bksfCrGggedTv2ykiovt9D6gmf7AAvhbHqs91/Crn7aB2oOfl6fPmxu1CIiHM1M1mwWSFcNLP5e2VZVvNLoWYkr3ckBuwN6L0Cr8xU6fcDcMWKIPPtodplJQb39lxkZoh+2QtXKFEZcYAd9GNuhV+1DpkyA+Y75bvHLqahUrwW1qTbJkKf0XMgxl1JZoPqYg9gpgPF1mO97gdOly6PCrAPioi2lqQ29dJ3LxooaD6D4EdB63XTMdlKC+z58T3LEwBoReXSy4lp1V9dZr3EWlvDCISAhh03J/rKXu1rWkafTRoUf59PvdzlbmguBvEYyPk7+Ym6J+Kuy4Cm0cCYZmu4pncBM+MpHBkhMEd5aGShD6AUxjP5PesGrEvolTrh07Ctl0M9WoKRA2fAlKIZfED6aiuWSQ82aUApyAJH463509i39mRdPVm2yKiw+N1FICKlPpYDN4vLFbOfEvr/nQIb89DCrAsdm9vc+N8Q1NSOufxWJZD76mCyTkus977+b3+KGI9zD6mIXFXclH8wQSzdwXiDiOJu7S1dJEuTYa7ghrrtj3D3x0JNuI5SfVPGmGZPCvK/94pC704MrQPTNhBUoKnZrQZRklE3aUxYZEYqoBfGtK3meEO6fpYWixnpgSBZjaidxw5P9ttlsxxyMhMaMoxoMVt8iWjCyRbcS3r92K/zY8kS0TKFnqKnb0PS1DJJC+B7GNycLHxu7Mjz7xdosg3rrGjyDpW8szIYH63ueQ7tEFjFGyPdzKd87uuWZ8F6pKpUIGhb43OmgNWxr3K41dq9eDGWtqDt03XXFImSDZjePU6O1p0Ld/6m2PsgTCoHlfXzpPUd9E1x9sup1FfkdYd3YulGIqniXMxcW2hlVumwd+rd4kTsl+XJkqvlfuLdYO/DVkMiAzxmNr66qBz95VzszmQNi1wRk6dT0u2sIbDGsA3M09I5LE27GYnespiif15yuzEECzzaLD2fVyQnty8/PQLHC1zie9fNpvvJoxQO7GskgzbyV8xAaM9yVLYZI0J83p5ZROjtg8HiatdFux4TwDvO0m5SL31Ai0rtGLP6JOvpwi2kDzkL4W6MuWxZdRVsCWWEbPBJQjqbBFBV/MJicQO/KISU13ToeRV9SolOJ/NfSZTGGHtfpjQ8MqZwtdajOe57uwR7m6pUQxTtIJbIXPnxJ1VAlZT/kk0Zsgt3Hbn8icnR3x79JiHyxt5YCOt8TIU+lA+OyOAfMc3kGq1dy4ikbuoe+bZwBmsI50uIy7vE/hBBE3co4durrApWrFOVXspTwipYDf+SFCjewAAemUuweIJAv33MWQJN00l0u6yvMWaxlpBlXig6dixPuwVjEd79FBwSzd5ficU4viaTHKCXXpEzORc3qOwlAjWZGrwNNEpAVl96zmg6/RvVaJDOKbkTZLMhySzUILoU8rhEQo1dRvw+bL6ughTZ1Vqps3xBWCZm4TEuPIlXglXocdY586cyLPFXeGU/TuZJDi6FNH7ps4CtwmNMEUg/xG57osVaVHFwC9Z2j0+f+B3XXkSEJWBdws9QWn7SXKsmM/yakUBQxuEm4uqkMNfIqmPwdFgyeSIE2/2fvNU85xH6prbJWQ4oxlqlGz6kf4ULV7NgH+XzfrkuTq8f9lunIM7k09oJNSLO1/vzDqWnq+ga2im86sz67LYBwDm7wHtNTZvbaMP0ZujuZDUHLz1WTMtDNA8GGHdWnXBoVtey+XhKMdFpeqEmzrafRD2ngXQ3D4nt9dPRjlaIB1graOuvfM8d7xZL5wtL8LE/Pnsi+rz0O6Uuen3FupfhB9okJhkXfMy2Evys8TSj8chJsCXsUb+JZwhud1ecH+E2BbVqU/wPZrBE0smhm1exqiEjPWhgFK6+1pIzVU/HIZqNhFnh9lCo6xcekgY1SHCxhNrhewpc2AkUB4o7rCxNDD74lse+bfXkf14hMImmOk2kPo1ycMJcYjKTNHERJzO2+zQG8H+b8d2sHjOJlIuvveGf5dfQdlrgFW6/8RlIFar4Iuxub0F1jn9heQc2d7wmbUo7lLE761HxqN1xsTBgpxDRLIYMg6GKS52PPVjTDHgd4ndoXJ2xy0icK+3h8t1DQnS5XBKuJl7L5/T4yZrWDG8sWZ6n6pMPfuUsVGMySw7t+ZUkaKw+f7qvTCN6mv8Td9vGcrZSqksfiV8abUoiesrKGSU2vlrfJIn+SYk+VZ3Avkz8q71/bhX2YqBNOpLUuWwNc6lUn4Tdux2zrMSeEk2lVgwQPmZ+7YV4dtDtIiSejoqF/2n+kYsFSCUx60E0DtsEQU3dext7yOJmAzg1ypXF0gsx+BYT0S2sYG9emjxxLGB3E7BFyPEGBXU791farqOi7NXRQ7JfODDKgP16aw7Rt+e8OezrSoqGUme7OXMOVPxcASAwh/W04upaGfV9PZlfEB0zWAVEnygSLSspAWvy3U4ukdZ2o9tsaahvCxlLJkisNjwGEb6CkFeqOLDeaacD4euomKryBfD3Swcye1HSDX5ROXOKAcAExlH+mFxuwOefe0A1Ty14OfI2To3X4R8u6JU8Bf2TkR1mfqE3GfcAkX3R5uhF+xWPzn6xinwjLssscr2hMLCL8ywP1jePHThdyvqjHkb1yjimIuoox8M7xHemYp3GE23rMlP8GUkm42QcUhG/+9d6reQNzI5KnOmg/ptDkwi3UAYMEgx+thxfN6U4xVH2cjIjyO8ZAxO2/q9FOASj41+CFfrqH4SoIcJVV09JDfbbC6vv+xk0tHWrUA84wooWqa98NNhG07QGKdSILqClns/NblTc3EBaBzCJU+Dl0IDz6JWfpgc0zjDRctfJUeAMkgH3XLYT4m6ZrafWUdmEM0aeGu291vLHIpXZv+CCVf44gaO/ACQWKvtw5GbsH2+7KAWh5X4RflOG8GXsJYfcu0T+++Un8i60330/h+vfjwIpaAG2fB0LYOySz2tD89MdY8V+EclhCYtT/FYTE/xUlzniWrsN7gPofMTnlOebxC5gkZR4p7pWgnlxYIC4bqdZpL6iP62ahn+u2AxLSdBgQqp1lzX1lwOHeEiYvf59Tt4XQU+Lva3yHB/d9/hK/lJrDC+4cED0gGhENCaMJQy2HInUh+2nN02v339AcNohipMXhxhtlrxYMrRjipnR5jsSSrlYY7mKQ6Bb/eUpklOjb62zg2sI0NZ8WFIRc7SflRpw8OYSvzwQMnl6Quda6+5NrgZ7wJROFFA1+mq6nGZVIbtPaHKYPyCqNJh/VkGHjFzI3qdV4iUj+0WI5Fpu2hXSx4Q8YGqoSGnTdZw5vSmgqJZPwCkr+bxf9D+pLtPhbKqC7S5YFZD7nSvlAXxdpDzprvcFb4UDMfKjqcRG+Axe693ESFHgmasxX2+jUakoVOc9YZ85r4yhQRfAoc0RkO3aDWxVwkqtmc9jp5VYCClJRcSI8sTU2Tu3heRJNLtyOcQ/L4hC1zg2Lzu1OrZE0sGKV9MjnMk+mzd4TGRyuvywKz3500qMKgr7qZuDw5q3ndF+lpWrvpYzaP+eNqC/gdn5XgDWDWEXKBfbDD/kE4Y2DNaokoJcnSoOmWBsNQB7blXqXZiGozOV8XPG3sqvBRG1lSfXED/D7TVZ75FskW8svglnVG0VCxWWVNvi9dyA8kbe8ke9qmNdMfWCFmRzMxzZ+uD9i5lvyb0dn+rRI498PY0BCWWGc8tsWtUrcJMnVd5oEhwa+AbdnRemAciKzh6Y1f/UKfqDCHynnyLX7meGPNJQwzJ7n28334Cppu9sZ37tNn8qQv/dzS9LD+komythFSEXBrmLw5WSUBmLlESWZGi4i5b6Omm/MmC7/lGRg2U3c+SydPvYfVmh1PvFlR68b2ZW01PWS/mbCz6IaTM/gdnV6uKBdPopPJXILTvP2jP5jqVUFuYNY3Bf7OkbZNAOjxF/B0GvlVWoMM+VBXOyd/x1a6leiERdIS56kVRhya1ajgdmKRsuHv5fHcTxuEjhPRDa/Wf9feZHYcJ3QdOp+Ccq8GQrslZ16qrduEQzV/wFmD1V6g8WOs4ANl+S7NxQPZrxXgrPFbrwSCTzHhaBfhbTeAUVqeIffkxYN1yUguyaArh0zGErwsG2iNKzVYnULOTm27bcKLGIRBbAcBogKxYWUAZAScXyMdu7SeMmE4KKd4Wf0u//cKTEY1j1I5/8q5LnECvh+PFmqU+FqhotSxIXz+r+aqEux6SjT9TP9xBNZkyUjBg0t6pf7/oQ3O0FgaJOjMHO+XanrF4oRj8EUbuK62Xn+LoZ5Ls1EblXkUvVBcugWFfASn1NRZ/+TLu4mDBFHs0gDvAA9SvVksaogLnsms68FA5fipMXsL9aQ8PPHgknVD+TT0NFYePVpDqYilgN9PI85ewM5gCbH7Zmle7JZJ8IymOeK/yC9G+/15ypuohgT8AHZ6yrxWM4y915yLZG36aOQt/3NwzeGtaRvyTOKWPen45FYh1qtdHBMhGG7E/Go/9bxc40G9Voda3wSu5h/UxmzI7S7S1Z4aOWwyKYFMFiT2FyzGiHfa9xi2q1Or/vzxR52p+wZff6kdkzMncpO6VyMkVZiNnUDycvpe0CTFXQPSJmC5qYiK+DYM9epP/cFO7sXVu/sJmavRKoAMZVv/PNTD7IBbaAmEl+/dbkW7onv3tyNabLJzFsZqHdyU8ak5oyQWMMVGE6ItVFUnEP3XsCs6TAaAYc+/V085hLeC8+168f6L4MpmmJL7AJhokZjFj9IyuWBjy0UyjsJo0mRk+Dh6HudlG6nYSj9+jiLTTVRxNp1kqoanfVrRO164Dt2qTfgCEFdFLfwOsaen7jpKvZU/ud+V8DYjv+AFimPB+42W4P9GSzE6a17ZAJLX0ZDnFUVTk3T+dTsUUxe9AWaur04h0fYclLO61m5rUYxHwtHw9E20Z4kVTWdah4YLURyagmzIopsiGfMCjNxdiOns/B5e1vIsCEdjFKEBRyD8qLY2xvLaerZanUJDdOXXWtV41VIKrMjuFurnB5nGkt5VcvW5rzSxe/X6NPtZP8pJtQjMA/E+MaHXgUn+6SjY+Aw3wwkguJIkVnWA8WrWg7MMeMj0Ax55Wo109Gi54SDwFuIpjVshZje0/RIkCibLAovcimPXCVu7Pab37c4P26NJvl+NGVMDZFViwby6ZZdYVmykrq1vxsgj+ImX75p/i6VDKt0JHTCsL0Qwxe3x0bjL4ptnYr6psUO7/FptBvhigHsqRngX6DOVUuRQq/MQ2OAHgkeK5KSkBNzYJdzFJsHXnYsxBsnBkuDk40u12rJDzEKHMkw1LYTY5LLhk1xMljLt6MFqtfj0WZvLvK+Hle+IWgelMw9kUztgs5nazP+RsNd/X0VCn18oa2s1GW5g7KDHaG3Ze2ay44G504x21SMFIyoNgr73lgO9nlSMSssEF+TUcEFfDmRwRO2RW5hRaaYmL+ssWvgdBRPBmjS4k31CDnVo8aDxdKw+hOMkGiGxCUhhlzrvE1RAxaWHbiSPFaxz1OJa8hOK0ZdZDROPFQYvdxHH4m3ESkAGQlj7JnKJ4Y6kQUAHhwdmVC9pMxrfEov6iGucf/3Akf02xDpDEUlDbb9nvR9Sz/hUqodV4aUoiv2KXhWMvwHuxPz+7/37gwxIS3JPev9L13P824GzvWxdnsVDt5WS5c+ibkeRzexYU0sHqM88YDutRyuqzdARPVjdQG9Kh/I5xx19UfJJhuYk7xS2kEh0/61BICkIZfJPfQ4FgYoTUy4RqbkeNtb29lUdDGQDbPgDS8EGmxHI6sCBlx4tr6ILNcaOsceBcVHVAKduOdaFrHK8W3zwe92UWh4yh6Yga9a4EpomcLaLZD5rseRdOVvRQzIogaNq4LKEGAuCpQN8ZF2RbWWn9U3iM3+vXSzPMlahqDy3QfL/C239bYuIcDMp+Sxnaao+ZweAfBa65DAJppSjzRGosPaRsJKjlZ7N2FF/ljlRjcQHRDBfgIDBqURkUmzo1sh6d3OjH0awstULcW4ICKXgJdi7j7Mq0CPALWckb0YqsM+S+9R6cbBZPL2Bjt8VNd9dVoLUWymN7KqFrY3xMkjCfdL2k4wFrEyyYlZf8ySmbxzaqxQwWcoXPrtXV9/NyQ1k2DuTa75ipNAc7I7Xza3ZIihJsHuOM34K+PUHnkbqot457pa6DCROnEo/BCDsFBENVt6y9gmxbSuJrAepvmOb/cJWpRNyj8ykLdLFHmc6HzGKv/zU/JQTg3nRtA439AUM8OytsOKJAjkUzLez5EM00yKmW3tjTTca0tZL2to+F62+c9GeemW3uvg++IDjXp7FfFM1EQGgjRnf7EKeW5W6iqYb/MsaNqXBEQ0xe3+SEXgEnphwaB0129paINFbF8JPic9WhKaRo+Y8CYgixrOAV/dHUaUjm1J2wNQVYqwxDcbmPdsvjsOjq/HXPJ/NETVb+gaqeZdiITWGbjAzUEqGZqEdWG3a6F1t5Wqvdtet4EDukp4ufQYp8cZeMYL0GNSQ3JifkEhxhOJI1uFzPrJ5jNEvzP+KiF6gQV0ftWEL83bVVw/zHVdqhfkKAGNOCM2adHfkP7uITaMgi2HSWQfZlUbbpjsqJ4pZBIMcc11qGm8m+Hiepo+HOKvRjfJL93NcFWN4R4x6B9Bj6Vb6tJBwhuRVR4eveLECcE4/lTIGmV87R+/ETaeIxdER9YNY3Yb5LKMoQDDSFPbxCp8lsZS61IG065RJiXI+6V/wd/ylbZ1LlbEAq3hL6FFu9w+TCRfGApf8OOkjzdjirDicXQ8b07fCM4caERcqdsvUBOLhbdUPW1kAsFNqEkZ3fby+edBiHRV6A7pJkZc2gZ8L2cH+EcUk6eCAN805mre7S92udk+Y8JJb3LL5RS9O0UQtmzW4fQ0anSn28pcFD7yAU/WpLjP5AXnv6Xo85CDS6MxQNdNqd1Us29fekmUFEzgnyq98oL45UYgauC+zdclB7bRx0PRqsY3Fxviip5S35iGPdhqQYVeUUWFXozS7Ey4IIIg5bkdJiQ6v1ULqVB/grJPgF8YoIWrgPl/e5bjZBSHqhLUsv8ZhRj+D/XL0LAcAzbvwKCK/Vg7aulVE41X+pui34BnsefXNlteryEk6MeJOoVhv9xk/NDcYjimResO1XbiDJXivzcWfIuBEq3IGZjH+bqdptOv8yNXTrd24b79RNGC9e2LT+Y6yd8ZfYo13Oe/6oG8Tz9vLUs0usWaQ8FdqcbFJfAOkheJP4KzR/OXeGxDgJ7jli2MBmjap9/Gnyvfa7ueOc+2+/E0do5qkCr5Q60IeIzO8T/TFn1k25ZNXrWyEKUZj4++rmNgENoxkCq7QSNtV2zrU4dJmOqkQc2pK4u2YvtGWuHV339bLtViW2x5WHh25bB/ePRW0OrJKRYFHsaYReT1kYNPdsF+OeoOF+eTDAZDX5J/IiTpAXpdAdA+VMyIJ5VxGRLez50bvJ08LOUKdT+vl1kEtikOqcGs9O0uye+RYXRCgWXp9wLMnVgsFmjcTqpUV06ysk3XJUUnBdrUI1kaCLi0CkLSqsg04JYDJtyIjNsQOaPZlRJLtp9i+eXn+71OwEQh1FC3IGiNC1hH4ZTHt8d1D1MNJ6GvjPWzisaJ0G1Cr53pewfOrkt/3tVGkb8DSfdleg/GpQmeoEcrKYvahRXe1RR2b9kB5ZJrAh3wSg48ybOpdPAfJkk+eqHuaz9YddQJV7NprFLUYJQgaTl/G25gdUHmQGwltYt805f6XLgjUhYl16J/GMt1HWEx2d+woysL9Q+fpWUuHh8/DhHEMOZyaIQxP0CXZrUV1SXaCIC49dYDBj+NmCsEDJ2IniNfBQB3kseIJSrM8fZQDVJbNCRcd+yTwQvGe3anY6LQE5UAeUK4eN8jiJEOnKljIShMw1kkpfkjirSI/4eMZuSSDSJEke0Xp1GJALh+/dxXaX7Ao7DuMIX+gtmppEw0SPHw8IOHwy0wiVjms7aDp3Ip/t9xqemhFObeGeJeltZCpPElaWEN7PiWFiLa4LaiZTLb46TC2f8bVwHjM4AMTFWw1wG2M5bbK8gxFwdPJDGEtn8p2+La0mpAvvQXD4SDCGxF/NcJf/BYaJ1gkncgF0p/Pgb8+D50+J9K970N9MPHAse8jbGwK/OzacSVoPyd3ldbPhUN2KD6zc1sw5xFj7eyL4D1XQ1smas3YaM8SGa/Dvhl+SMqbDIab3/7MX36DtqBSSP1jgNP7wmeVXGyjotZDdR3ULteKgu+XQyod/1E8800zTX2s6vqgvZEKDkWMtF/aFKRZmAOpwGaP3n7KNCP89GJOhlN51/S0sXHuZz3gaEf5PSDxsfkgYpoT5PN3GrfoXBf34W+iU8CJSFF9LPIVB4L9QEvkDne7yTofKF9LiKRGXSUyIF3L2KmsZT1WVm0yuEzyb94dzAxDaWnIg5xslsRsXgk8xpaLjvgSKPrL3aMhRCWjwzVxif1qZ6oG1ay3HVUzuM7wk/XshnHNGsb5W0jpQ9GiVoOiN3IB8ZVV2r4osUw8nac0WG9JkHAd0HuGl7NKJVa0uG6qSOMy0dy03BB9RK2FtejGqOhHhbwYAi7NtGJ+Pp6zhaq9klJ4JPIF+9Y1RycgzFVGAKGBM9rxVgfC/3rhQpjDMHKWjkhGVRIh0tQOUZd65MEPqc5AseTIMbqk7+FmmQmFg0fz4yAJiAl8rf4ePTDzGHA/FFD8jZ+hzn/a6NbS2cKuObxSBl+h4GeWZB18m3gGhqqcu3K1xpPtql24YdWYJuipaoPKwy0+2Z8js+Z8SrP29Dd7hPukdyNYqXBH5q6Xz77WbYtNpcs4KeF2J5UDQyPnf4HX7oppXufbY4O2uRiDkZXT7Z0lNSGl9/by7nW1BX/GvkoQ/1G2S7BMu6HMyVq3712Pnep9jFC3a3t9JVIXv86EiN6QIFqMKhNDe0GrkzcMm72oEeeE0O8VRxIpqWqTuzagF17I8GqiDNs6T08Uncd/vWcvcXh+lVlpgQGLqiPfyVvlOFWRZCequ3h9wQans0Ftf0LCyUoVdj5LxpWfXg+m1xxAoT27f+UFF+ThqglTiYpj4Q8QoHNRCyoGoAh9tkWch0QVXunL2JzprhtoWbxt5798G6oP5l4YLdOTrvPedxSeTmu/6nnivtG0aLlbiF7OMaVoiEne6ZzLoNrwut1IfmTKPFmfZ6Dflfx4NA2gHofjlE7TMeFovtVjxZSkq8fZxgjltWoVcjh7ndqws9cJM6Rw5VtLFafvihlp7JM5fMvDsIeLA9/fpa9fqanHlkQcMWsdLFBvbgu1S8IoOb019FgIbohgqCqHNcQkNZMfqke7UitJXSygV03FkdVMcWnuv+NlnL/Ifbc/0Uj0eYmuq6tsVf83ZygHm+ZpseRCuvyFBbY1zf1xHdKFu4JWuc9jQwQCcR16BsgYe1siCSYHuRrKiklpKJAFFRBWgytvgGt++TfXQR69jxPgcyQMQKJ/T6iinpViCMbc4a7tmCEKarsP375RxAXyPbMqbgogF/BOAeSt/Jc32T6ImglU7zTyG8s58GoTbn1riQvhS6GH9B9SA+7zaSAH9Q1+8lJ+ZH4GhdDr6tqpwFys5hOigy4gjlAIhUnZQhocfkzoq2NvQuNE0HaBxhEUHNw7cIg/QEKSliKdsycsdJeAEypI+dKF6sHP+FJe7MHecfzfxuf9hvcTlnvAcn3efEgZNNiY57+vLLTvaVB5QoN/i7HxQ+LmSv2X5m2BdRETxHgYJtnSgdqUAa/eZVUz7g50wUDOQcHDZyzA1Os0Ua1z/ScYjA80t56EUWTdilbFdhIWnua5UHUNY76FxJrKvJguBw8TxDD9uKKJaMuADX5lw8gUjfBA/awypvgxeev6HlrMY6uOSrvjBQT8QJwG4BjuoKUhwZaLjWpcsA7XdNeKZRhxEj63D8H9XG6C5UImAZTpefNFqke5S5rc7QVbr++bkTydhxI5Hc5ZBxj50kgAhKSQsgNIcq4LVzhIAoY3CIMr+xMIbJVDkFyCtHdUaV07qOer+SrXgd0LzmggRxtpYaDbRyDg9Pj+t1j7Ml6B/MGXmFT5dYH2ep5CupJAhTpSOu8HXCpCRIZyp918sPDVgvm4P7Dx/AQwagzvYnbkae103r/MJfodmSmMPN4Byo7QvNe4ZaqWwpMul7oVQpHBnB9Hlvk7eldLoKO4yl/XfdY43ycpR+wm3on2HjZ92aWoQ0XbpugFm7ybcaNPfDVWHFO6ZIx0NcEMCx65IMT0upAplOBrdcFbp93mKYtbGqRtie3clI2JRNgLWZETBF8M3ZEwPGjuPdCOIbH1JuVWQgUXpnF0UzMZttrLJUcnneP3tUj/GoCgX/6ZRba3rtGhFTDyYE2qDt9rl7nzyOiiL5/2N1BsjTbtHpuL8q6B++kMnHcN7EUq7/I9YD/n9z1mRhgoSzWHuYOr+xjNaLbujfLswhA3SOtMDL1OeRfx9qr6Ta0lePJRFTnaC0bxI5BZgcS5LPUIUj/R/lpBgEJeZEPLVrsxnO4o5yuSptgP+9E3ntga54vZoJ79Uj658xSt2r5+IAsM9KKzIKcKU+Q+REiEXeFLC5xvdFyCtIsx1bXTqcDchAZdbj6C2IpqQNWYXzxlO/CFsGCo2GzI3RpfKSFh+pYIOX85fk+WNwaOqSBZs9afSqpgeFn4m9EGV+isI0I/jS5oZ29GrEDvKVQ8kObmTsm0ErqHSy6V+ZJskf9J6/6jP7U6ctIuHkXDk9hehfwfSLHv18srTrVmuN4iBFiX2VLRtB4HqtNNJcsWpNE3CRWik2uNTFZLCPaLAMCwTwtYXbMeg/+i+MR42ei10H8DQC9qML91bAJ+D+UOKs7KhpJrauPnUS8MHUl3p5ZhOtjW5/wWTN6+wLQpMK6eai+SxYznT10u+NmgiDSZXMK7EGhyr3OKlZf6Fi/lNr4bA3LH7Px0hwd88VAKMQzUz4KERo7lXhCqJMmJDATZC41U3Bv5W6zOEorgw0UNr/eDUBevJwzH6M8syuX2P414T1cNpGUnAF+NZ7D2kPYCMpYDTWc7roJOIqokpUxHvwXDwM5UE0cB7xey655rQjEiO2SZ4HOcmJfiRLL0cG3TIOEZQmFnctdol6mMwCiN7cTK5QhLkn5eNwfRMMJSFOULQvOxw6rqhneKXOqfDxmcJBb8ZxAb0VrqxCwIbWKz63/RUJUGzdVjl0EGmGwaJUrI3VzTzhpG/a19t85ndg/BpTVg8CEW4jR1V6csBK5waHOI0AvC5FGGy2NKggRT1X8jmY9hr6wgb1b7VdftdNeUbOoA+0+/cSg+3XH5WwkTe4gNI6bOmsMp8xGCz2qdt1yeZs/BFH/5KoVmZaDkc4RNCvODZQYXPEnRXo4LJYvKdMXdyPVqLGQA/dY7fiH2w5QQdX8GQQtYDS//y4MrWIB5k2CZVWnQincnM3U/aBboLphJmrWM+VoDzPyw85WvQzUK//Vhw10I+JLJyBDnzMSVvpZklEgGHoOKGYOnafkBfw6W3MWi4m+TfWiZG9jmdE5bm8LhJMoDxenR6QwlP1b57LVwQ+dG9V3Zprto6cjw81n5jy/PnB3BfewV8Sj6RG+xqJxNAyYooFlT9O1gmFLBPdrtdNpmvx7ydrOgulLqeELu76R7dSaqlLkzz4sdOAfU3P4VvsZY95HuTWtDwhlfyHEAzsj9BD4+lxkOiC4JzO3haE43PVkAriLKLil2bsdD7DXbfZk2zqEQ+o+ek2YCr0WVv8dQQG1xbYjelhR921gjl2u3DYRW8fu3vxj2Ql47aJHqxv19zwZNV4z3v0Vh4XtQ4ZlZi7vsVUnjeFNRWOds/ioP1lojZ6ghNqe+KR0cNNsxx17V1f4FYRXFi087FrRqau6oHwShv5FDAIrVtOt9LaaWkmcg56tlig2spg3f38/sH2eMv8kG5ntcQc95re8UBmYsyxYDYO15ivQoTStNaYOnhCCcj4LkAWH5OYcN44JtcLAks63oNWL/23zS9dK+JN+4eeI5vJSPnmn3bp/n0nS63/QTn9waa5wWHXMGAIUZI1AZOT/TtET2VtJThsqHIs+dTpVdiMXEj0wLdMQ/f1TTK4JN2h8jcjiNq8c1isr7J7Ga9byOEnc9B9LGlrYD5M35+t0oEjpFHkIby4yH71BjOlIIbDPnYEBnBe5CP21cxDELfd1RR78iBsvvai3yz/JsHf9jv20dKu0IHnKBnKuFLs76vNmDDkkiFTZGkBShyaCGdfJCguADo4/r0hmj6F3MWvxmphGTB94u6gNXro9UFXEIaAzD9OmoPth3fofYo+qygoy5WMBf9o+DKURMNYB5Ce5KgmRNWUu2nHP3FnRfofaVuxL6hHmu+7D5yvZNnon3ELG+coCAT6g/b3meOuzjQ7KWaLrAQitgQg8XfpCMwQm8WC6Kdz6+gu7flwP0T8Y+E+X1PB32WpYzQpeyOmUR+6qTNj7iXQflA4Q4TNqh+7tgR5MBXU8x/IF9TOAfnBocfc0aB+t5rqVLiEnW9+CxTpqQ1lpQhVzVgt9If0TNeF3lZ6OHCDwvADSagJCFcNxLcU2kEcSlqsE9bgtzfE3wCMum8rOEpXgGDNDx8mJAGvm7E/Wjd8s3TJCOsbSHUd0HkXkYX5U3Km8lI9yzn5V4fGjx6jJGlmUJXnJiCbKHSShiklumGa7iF4Wp6uAk9fB1YrfTkVsOtBiMc2oIe8cNBQH12QHpeu2Ncy9m7m3oBsuImYq6cJ371hUMm0BW5ICgJyLa8DUtBlUmFwz8k6sNNsz4MDlFb3FaLX9Raux2DMx2NJzprC5EZcaJJTNFTxRxHRvlNVtl+Idk4jlgkILHjaJd6Dw2AAydHKwI2FNAIdqu1gPfZixajEezckpoBkiDEwhvqoIeV+whMOLniAVnLTSK6TunFfzV06tBcfIpuZ1QmpLNWqTbAknpt0N3A4lOgZTilSg2fcc21SbxdiVrUvni3GMDi/A+lBEvYRh5oiHy5mjt4S0c4/0r4np9V6b/R0B+X0QHXzZDf4fSpEEitq7dz8SYOLdmslcB6VssWnCn2p7pj38l98typKdduSNKe3T9rM8RH/W+xnjsBpPQHT4JFBYJTWF2qR1e/xMHhlXLPNFmEEMemPnfQi5h2qYIVCfIwJFFl7wMXvgELixeVhZ2RbCCVYputQXtYTOmWI83p78WOl44EygTYTVFuOjG9V+AgYRRxeGlLlMgJ+f1mOANljqWJrQ8O2z9rsZJGDqtgUEGW4htbZ68dz9azJnsTcwUwrBS7sweCCoQjmZ9qAItxcLLrlPjAvbXDlwo3G85Eqo1f7WrF9BK0vU1loU7pj9du/KghK3glMIL4W7B8XlwEnOTcgf+5hmMrTvpWZdNUKf7QaxGSZLn5LwGnEQJkXVhN0ZJDEvMw9dLT1l5jfMPxCzHn5bHG4tZwdWfRJ+/UWCnAvWLdqSWP79nCDquwT66zBt3UIfjEf+qFBIJ+oX454ZCQe4pLYk3TJVCsrO4kuNu9KHRG++phSuJAkNBgIUsMVjrzgkAl32SEQ4QOSR7dGF0lDq+T/AGpflegU1tGjjqWDZCalmV3CqIUuO+pqVwQc0rGkzB/NZdw5yIE2jgIKZuyEhi/L+y3VnoEXqDnSLRgwjIJtTO80KaT8vpU+3/F54mTUJD+dOUKpF8uwghS+nvJzKk/fRJ5w7Ax567f/8CnfiK+Sqh8YXviHpoMa12P+Z6+Eloiuwe9ThhMTJRq7fhDZ3F+n/wec9baBcQ4NUzH65cbyR0SkYNSOEbB9Tq7B5BIJqx9ULyFYmKh7OkgIqLTBqpgrgUJ69oCHVlR71EfjJsYfqQ+u84zIDlrOzlMDtgGwZLo0hmLYGOfSTozYfCmVFWpkioo4l+sl2OmqjJ8R+QbI/6657E1md9MQcW+H7GAy1PdcI9Wi4WZPgQmWFQ2muprVmYW3Ev0UE+I4UHRsIcbNL77L4SjyNtkAujxUpAGx+03mB0jr5HDKEEQEyZTNQYZeSrUOVaVCPlyM5s0nDccpgO1Q58yRq+4iJ9yzUHw8kUO1BWQSarvNNj+YwStxEa0mH1svvBzEraS0ce2G9fIYlrxk1Sgs4ii6STWInHlb4YHu9GM7D2HQrjiRPWt7Nw+fkR61sYt7vysZ0UCliZ8d/g/jwi333zTSDtpT4jnKlwR7mcI2y05vDxDsMVtOXMjDp+ZQX1KksMDaew6Ffbota//HW+/zgNePOu3mZNf1q95q19dILrb1gCC03F6XOJOBpbID4HI0eJKy56Il6HKiRTHdRzu3Q6e95EXgCKUJleD25hn1CBZzTK0b6GHc9RQQq6y64G52TwzSbykKlr/zJ2d3lCA8U0W2J+zq4xapBHfZpZOKJmEMYjksVe/VpkXbAhuaxqoBnHbJhoKkv8CQiG6tXPPmEZcxI55Tic+4ty71E3TCZ//I6ERjlvyIr5pc8JTdhMfnQmR1WqYClgtFEqgro9k+tRnku4IlHVNxlO/57XeQN6RqyvSKBKF0dxe0FTE8JF6Oodh/zsm3d678CREOy7+dU3Buwy4iv8JZT4Nfnq33yJrsqetj2OCkIQnketiC1cFvk6iJkv27hzYMRo8Wa2jeRKunCZlO1Eg3C9hQMRUaw3QpBjK1WVjrl/8LzpmbhkEjFcJ8ebZZZXfoHlPV/Mi+xRxlS64sta8mRGIkfCJdZ4hmqE0ppv4BaNTOacPxeIVUJvM33SQeQuIh2650p96i6X25CRW24bHSykSuVQSZIx65kns8HZlAStF07hw2Rc6aqDhlHTT8/h+if4naTbzQxFGUO7uBc8HMAScN4epGtKcro358nukxOtyuVxF3caEGKlZkyYpRjrvMNcsEnnrumavJyR8GCb5T/8Dn3t16cXQ6qwEd9Cq/5hOWHrAQPci0T4imdU06rVszviREKHt1fHsgRxzZ8IToAU8d/iSNI1bSv5D4dL9vdqdVlNg5QMtkvYIgJBokytwZMPvZLhayhmq36dXvk/b8rPetAyiV2NATxNfaZiiMCM0sZaqm2c83R4ijsn+5ZSeQ9pF9Js+o0s0mZyOE5E8dYUJHpUD91kS+/l/dncipqXyAQp+TrljXENriu0mykB8qnU+guNq+kSQn++gmb48P2hpXZ/DStyGJ7LBlJn2wc9a7YL99QyzpwWPO9uQqz26kx3vWekuAYir89g0Y650p7EfxJ3YhyAUObi1+klBqxPHOOhCgDvVVQUPyCT43Q3Uj6w6Y0MEDmHoc+EdRPElS34Ix0DgiPog2kNfkRQcriIsd7irR0SXyaqB3f7V0QrHUsp8/bCf4X5NIModSb6ZwEKI24O6H/UJorS27k2H2aTi9lljT+aD41A2PKQ4uekbbJZDlfOpRhYGwgZLXQqj50URnM+RJ6tjIFo2UefuWl4G7XmWf9LZYnnVKNQljp4nZklN96Cr4qZ8mgZ3/rDerndpDMcYXs8710LtX/ZMxswTSpFK92DgjDffWWRDZKPvpWYmwupWfqSLycZq2DvyK11f1RT++55mic86QSHxVpeLvjfwo+taxLvLI7xpqAUVf6LuLbzWN9iFZGEsYl8qIyeS0tYcdWD4BnsePcELseVi4wuZZ679yYiaJPAuZuVP42yBi0RTbzXsKvY227H3pcr1eSTFOffVKEhymd4pLjMiTbpbM0shp1eg7qVE2A6ZGUPLbOO4Oy0fW4jDEWNQmP8WB8S95Wan81ascK4iRPixNc/MamBeny4CIzxMd3vqD65F8sz6IvPi/Sx4hHXXF3NSgpq5BurNogrNy9idYIK58pMbt7t0ZnrCN3PlbOyMlNP3zPNV2GhI+Q+Zxl2ORTKyyTMNdF6QbTM0meT4oZyxYxFw4pJm0/1AcoyqmfgGPXzSyR7IXbUI3ge+NEThhFNwZZZE43dUIyIzKvq7eicIn5Ib1Fcl9Qnb9z/g2Sl1toTBn8v1UhlAw6LMBauJdZhgk6Oithme9dSuaqLyXn89yhfCPA80Np26iseoN2OnoLuRrHy/tilLaYL7sJYlyI7rqNZlURUPvsNDb8Ps6X6iVwRbAQkzeBB9H+xK2vasuSY8EiLMm74tsq/Hw/aBI4fZgxaQDmqnpc7M3WppzChVua05eea8rx7o4d7VLd2R8fxFPS29DhyhxN2nC22mDj/IcJmuTuxltVJ/01DlsHCGqlwSSlg0vTAm/VxzBtRz4aQjo3GCvW18E0W5Jjc6B0Gb5p2X1I+X46rWnCb+U0w0CUx69z4mwNzk38eBKT9QU9Zh1nGuaIVxgTkV/j2t2slyBGIIbG+lUS1n6G/zus9CY0bqmZfZw/wdSdYHUm8fRS91o2sW46TzcdXXCtyUJMqUOuNNMwj9l4ztma5cJumXZ7XufPBQfUkErYij1Iau4RJLhecDH8DHgRF08gmzXUvADtHs8MAwltHGD/dclXgbsFjOgPr7bOqIZxuCyEsMEP+QJw9pl9b7Ue3pzDd0ZabXn0i3y4MrSqog6L7BjHRj2AW0WSrwuunhTCrkVfBT+t/LhntwZEa7MQBshN8WPDh81rnGshMxWFWYAOqGGSQkdO39HSFX8bb0rpJGBEp3Z4lgYY5mI1ftOUG69ug3VaH4TeOSbPI59QLaCspvqIeHbGatqk33XvbvgfVzgOhxe2wL+z4g2wqprHPY0JhtA9RQ8HVVQHThE0dzwSd/JDj6T4in7mQEA1q+E3AH+cTFNTTZcUGS2YwU2zeyf+94HVy0+kFsZu9tcspntFJ9ROSPDnsRbX/tZtQEsjoKynlIbLkOE0Ct8m1UEdNu0KAln8/n+6fdyyNAROtxY+SSvlpBcqy/0xQi6C9NUVqvzD4lPsUw5IFc3F79ICgyrdsJfdEe0RkQXCRtjZmXzVel5M59ivJ/NEYOhSoSRRXwUNJkMYGx03w7owYgsyAlporSMYdXipKnGN8XBSKKx21HQ9EJObxJGNxpK1iWnEQIRsm9IIaD4+wCU8M8JKJa8RPBYfCXn0Lu/j+uL/yfOtZJ6fetQIoPPLkCGj62LnrqI4AzYFuClEiKsIIS/YD4hr0OgjR7SH5KSBQBMM7XNUzjEEeIjbZzTfPNWPH5CM9tsW8ToA9u1gQkwd1FOSsdhny6WWHDpy3RQuvmKSfFLdb5d5XhwzDi9OxDIQplGjH61H0bSRCbaqIiExvhfxPMJi8fWgMIN3QQ1KUWjDlGjfPl0jyTtSGbv0G+lKavBwXrehAWjYMzpPEwlLct22z6gMPJ+Ll/WX3TcFS5FcETkbDZ4bWnPVeukw0OoqQOizfXxv5hc1N/7I9xzjq7jG6ze5nf84lH0DWN9u6YjXUKYMF9EjmB8/Ki2YAd9CGrdl0Q0rovEJckCH/zP61QQNWsfBW2zSUPSf3/vseL9Es/iWTpAA1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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "off", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:01:39.171001+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:11:44.033905+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-ibfz5vun","session_id":"434cef12-764f-4657-80a6-801afb9b31f7","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"e488db9b-2d07-4bbe-a9b3-6caf45d1729d","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_016uSMn869PFZYQZscupCqJC","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game using TypeScript that runs in a browser. I'll create a well-structured implementation with all the standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `src/tetris.ts` - The main TypeScript game logic\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nActually, since this needs to run in a browser, I'll compile the TypeScript to JavaScript. Let me think about the best approach - I could either:\n\n\n1. Use a build tool like webpack/parcel\n2. Compile TypeScript directly with tsc\n3. Use inline TypeScript that gets compiled\n\nI'll go with a simple approach: compile TypeScript with tsc and serve the HTML file. I'll create a self-contained setup.\n\nNow I'm designing the game mechanics - I need a canvas-based renderer, the seven standard Tetromino pieces, a 10x20 game board, and controls for moving and rotating pieces. I'll implement wall kick rotation, line clearing with scoring based on standard Tetris rules, a level system that increases speed, and a ghost piece preview.\n\nFor controls, I'm mapping arrow keys for movement and rotation, space for hard drop, and C for the hold piece feature.\n\nWriting the TypeScript implementation... Defining the tetromino shapes... I'm setting up the scoring system with points for clearing lines and defining how many lines are needed to advance levels, then planning out the full implementation with features like wall kicks for rotation, ghost piece preview, hold functionality, and a 7-bag randomizer for piece selection.\n\nWriting the HTML and styles... Writing the HTML structure... Writing the game logic... Defining wall kick tables... Defining the game constants and piece data... Defining wall kick data for rotations... Defining wall kick offset tables for I-piece rotations...\n\nNow I'm verifying these against the standard SRS specifications to make sure I have the correct kick data for each rotation state. I'm realizing the coordinate system matters here—the Tetris wiki uses y-up while canvas uses y-down, so I need to be careful with conversions. Let me just implement the full SRS wall kick system properly by referencing the standard tables from the Tetris wiki. I need to reconsider how kicks actually work in practice. The board uses standard screen coordinates with (0,0) at the top-left, x increasing rightward, and y increasing downward, where a piece's position marks its bounding box's top-left corner. When rotating, I apply the rotation matrix first, then test the kick offsets. The SRS guideline defines kicks with y pointing upward, so I need to negate those y values to match my canvas coordinate system where y points down. Converting the JLSTZ clockwise rotation kicks from the guideline gives me the offset positions to test in my coordinate space. Now I'm converting these to canvas coordinates by negating the y values, which flips the kick offsets to match the downward y-axis. For counter-clockwise rotations, I need to derive them from the guideline data—the CCW kick for one state transition is the negative of the CW kick for the reverse transition. Now I'm working through the I piece rotations for counterclockwise movement, mapping out how the block positions transform across each rotation state and how they translate to canvas coordinates. I've already mapped out the rotation kick tables, so now I'm going to implement the full TypeScript Tetris game as a class-based structure with separate concerns for the board state, game mechanics, timing, and rendering to both the main canvas and a preview canvas.\n\nNow I'm thinking through the piece spawning logic—in standard Tetris, pieces appear at the top center of the board, but the exact x-position varies by piece type, and I need to account for how the I-piece and other shapes align differently on a 10-wide board. I'll simplify the spawn logic by centering each piece based on its width, with the I piece starting one row above the visible area. Now I'm ready to implement this—I need to set up the TypeScript files and get the game logic written out.\n\nWriting the game code... Defining the piece shapes and 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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"result","subtype":"error_max_budget_usd","duration_ms":567834,"duration_api_ms":91918,"is_error":true,"num_turns":1,"stop_reason":"tool_use","session_id":"9b662fc2-2fa4-40ce-93e1-bfdc5169357a","total_cost_usd":0.7511340000000001,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"output_tokens":8000,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":0,"ephemeral_5m_input_tokens":488},"inference_geo":"","iterations":[],"speed":"standard"},"modelUsage":{"claude-sonnet-4-6":{"inputTokens":6,"outputTokens":49773,"cacheReadInputTokens":8970,"cacheCreationInputTokens":488,"webSearchRequests":0,"costUSD":0.7511340000000001,"contextWindow":200000,"maxOutputTokens":32000}},"permission_denials":[],"fast_mode_state":"off","uuid":"89b93679-2a21-479a-b828-4675c5a775bf","errors":["Reached maximum budget ($0.5)"]} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "off", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:02:21.252762+00:00", - "wall_time_seconds": 568, - "exit_code": 1, - "completed_at": "2026-04-03T21:11:53.416864+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run2/transcript.jsonl @@ -1,8 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-vcqnhbj_","session_id":"9b662fc2-2fa4-40ce-93e1-bfdc5169357a","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"62812e7b-8998-42d8-92a4-9bb98d583757","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01SDzVwrDAnPeTYsECwxkoCw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with all standard mechanics.\n\nLet me plan the structure:\n1. `index.html` - The main HTML file\n2. `style.css` - Styling\n3. `tetris.ts` - TypeScript game logic\n4. `tsconfig.json` - TypeScript configuration\n\nActually, since this needs to run in a browser, I'll need to compile the TypeScript. Let me think about the best approach:\n\nOption 1: Use a bundler like webpack or esbuild\nOption 2: Compile directly with tsc\n\n\nOption 3: Use a CDN for TypeScript compilation in the browser\n\nI'll go with tsc compilation and provide a simple build setup. Now I'm mapping out the core game mechanics: the seven standard tetrominoes with rotation and wall kicks, line clearing with animations, a scoring and level system that increases speed, piece preview, hold functionality, ghost piece display, and game over detection. For controls, I'll use arrow keys for movement and soft drop, spacebar for hard drop, and additional keys for rotation and hold.\n\nThe scoring scales with level—single lines worth 100 points, doubles worth 300, triples worth 500, and a full Tetris worth 800. I'm structuring this with separate files for HTML, CSS, and TypeScript, along with configuration files for the build process.\n\nSetting up the project files now...\n\nWriting the game logic... Defining the Tetris piece shapes... Defining wall kick offset tables... Setting up the game class properties...\n\nI'm initializing the canvas contexts for the game board, next piece preview, and hold piece display, then wiring up the event listeners to handle player input.\n\nSetting up the game loop... Writing collision detection and rotation logic... Completing the matrix rotation logic...\n\nNow I'm implementing the piece locking mechanism—when a piece can't move down anymore, I place it on the board and check if any rows are completely filled so I can clear them and spawn the next piece.\n\nImplementing line clearing logic... Still writing game logic... Writing the cell rendering... Writing the render function... Writing the preview rendering... Writing the game loop and input handling... Still writing input handlers... Finishing up the game initialization and event listeners, then I'm realizing I need to think through the project structure—how to compile TypeScript and load it into the HTML. I'm also spotting a potential bug in the hold piece logic where I need to be more careful about spawning the next piece when there's no held piece yet.\n\nLooking at the rotation system, I should probably track rotation state on the piece object itself rather than at the class level. I want to implement a proper 7-bag randomizer for authentic Tetris randomization, and ideally add wall kick mechanics and lock delay for a polished feel.\n\nLet me plan out the complete implementation with separate files for package configuration, TypeScript settings, HTML, and the main game logic.\n\nDefining the core types and constants... Defining the tetromino shapes and colors...\n\nNow I'm thinking through the rotation logic—since all my tetromino matrices are square (the I piece is 4x4, O is 2x2, and the rest are 3x3), the rotation should work consistently across all pieces. I'm also considering how to implement wall kicks properly using the SRS system, which handles collision detection when pieces rotate near 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":488,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":488,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"9b662fc2-2fa4-40ce-93e1-bfdc5169357a","uuid":"d2a212bc-7cfb-49ab-afef-e0163ea734d0"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01FtjjNm17MshtZaCv4DF5Kq","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in the browser using TypeScript. Let me build a complete Tetris game with:\n\n1. All standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece movement (left, right, down)\n3. Piece rotation\n4. Line clearing\n5. Scoring system\n6. Increasing speed\n7. Keyboard controls\n\nI'll create:\n- `index.html` - The main HTML file\n- `src/tetris.ts` - The TypeScript game logic\n\n\n- Configuration files for TypeScript and npm\n\nNow I'm planning out the core game mechanics: a standard 10×20 board with all seven tetrominoes in their classic colors, and keyboard controls for movement, rotation, and special actions like hard drop and pause.\n\nFor scoring, I'm using a level-based multiplier system where clearing four lines at once (a Tetris) gives the biggest reward, and speed increases as the player advances through levels.\n\nI'm setting up a proper project structure with TypeScript compilation, so I'll need package.json, tsconfig.json, a source file for the game logic, and an HTML entry point.\n\nWriting the game code... Setting up the full Tetris game structure with TypeScript, HTML, and configuration files to handle the game logic, rendering, and piece mechanics. Finishing the tetromino definitions...\n\nNow I'm thinking about the full game implementation—I want a polished experience with a dark aesthetic, a ghost piece preview to show where blocks will land, and probably some additional features to make it feel complete.\n\nI'm planning the structure with an HTML canvas for the main game board, a side panel displaying the score, level, lines cleared, and previews for the next piece and held piece, plus keyboard controls for movement and rotation.\n\nFor the logic, I'll need a board representation, tetromino definitions with their shapes and colors, a game loop that handles gravity and updates, collision detection to check if pieces can move, line clearing logic to detect and remove full rows, scoring that increases with level progression, and a pause system.\n\nBuilding the complete HTML and TypeScript implementation... Completing the HTML structure...\n\nNow I'm setting up the TypeScript constants for the game mechanics—defining the board dimensions, block size, color mappings for each tetromino type, and the speed progression that gets faster as levels increase. Defining the tetromino shapes for each piece type. Now I'm planning out the project structure—I'll create a package.json, tsconfig.json, HTML entry point, and the main TypeScript file to keep everything organized and clean.\n\nFor the game itself, I need a 10×20 board where each cell tracks either empty space or a color, seven different tetromino types with their rotation states, and a rotation system using wall kicks to handle pieces bumping into walls. I'll use requestAnimationFrame for the game loop and track elapsed time to control piece falling speed.\n\nFor scoring, I'll count cleared lines multiplied by the current level, which increases every 10 lines and makes pieces fall faster. I'm going to keep the implementation focused on the core mechanics—ghost piece preview, hold functionality, next piece display, and a dark theme—without lock delay to keep things simpler.\n\nWriting the TypeScript implementation... Defining the tetromino shapes as 2D arrays for each piece type, mapping out their grid patterns so I can rotate and position them during gameplay.\n\nNow I'm setting up the scoring system based on how many lines are cleared at once, then calculating drop speeds that increase with each level using the standard Tetris formula. I'm also defining the core game state with interfaces for individual pieces and a class to manage the board, current piece, next piece, and hold mechanics.\n\nSetting up game properties... I'm setting up the keyboard event listeners and initializing the game state with a fresh board, resetting the score and level, spawning the first piece, and updating the UI to reflect the starting conditions. Writing rotation logic... Writing the game logic... Writing game logic... Writing game input handlers... Writing game loop logic... Still writing the rendering logic... Writing the rendering logic... Writing overlay text... Writing the preview rendering... Finishing the canvas rendering and resetting alpha, then updating the UI elements with current score, level, and lines cleared. Now I'm reconsidering the hold mechanic logic—when a player holds a piece for the first time, it should swap the current piece into the hold slot and bring in the next piece, but if they're already holding something, it needs to swap the current piece with what's stored. Let me refine the hold function implementation...\n\nRefining the hold logic... Refining the hold piece logic... Refactoring the hold method to handle the piece swap cleanly—if there's a held piece, swap it in directly; otherwise, promote the next piece to current and generate a new next piece, then store the current piece type as held and disable further holds until the next lock.\n\nNow I'm realizing there might be an initialization issue with `spawnPiece`—when the game starts, `nextPiece` gets created first, then `spawnPiece` is called, which would try to use that pre-created piece as current while also generating another next piece, so I need to trace through the startup sequence to make sure the flow is correct.\n\nLooking at the `gameLoop`, I see a problem with how pausing works—when the game is paused, the animation frame loop stops, but when unpausing, I need to restart it rather than just resuming from where it left off.\n\nI'm also handling the pause toggle by resetting the drop timer and restarting the animation frame when unpausing. And in the `init` method, I should cancel any existing animation frame before starting fresh to avoid multiple loops running simultaneously.\n\nNow I'm thinking through the 7-bag randomizer system for piece generation, where pieces are drawn from a shuffled bag of all seven types, and once depleted, a new bag is created.\n\nImplementing the bag system...\n\nFor the visual design, I'm going with a dark space theme—navy and black backgrounds with bright Tetris colors for the pieces. Now I need to decide on the module setup; since this needs to run in a browser, I'll compile everything to a single JavaScript file using TypeScript's `outFile` option with the appropriate module configuration. I'm realizing the cleanest approach is to just use `module: \"ES2022\"` with a module script tag in HTML, keeping everything in a single file without imports or exports so TypeScript compiles it as a plain script. I'm realizing the TypeScript docs say only `amd` and `system` modules work with `outFile`, so `module: \"none\"` might not be compatible. Let me reconsider—if I use `module: \"none\"` without `outFile`, TypeScript will compile each file individually, which works fine since I only have one source file anyway. The output will just be plain JavaScript without any module wrapper, which is exactly what I need for a browser script.\n\nConfiguring the simplest setup...\n\nI'm settling on a straightforward approach: a single TypeScript file that compiles to plain JavaScript with no module system complexity. The config targets ES6, includes DOM types, and outputs to a dist folder. Since there are no imports or exports, TypeScript treats it as a script in global scope, so I can just include it directly in HTML with a simple script tag.\n\nNow I'm thinking through the canvas layout—the main board will be 300 × 600 pixels at 30px per cell, with side panels for next piece previews and stats, each preview canvas sized at 120 × 120 pixels.\n\nSetting up the project files now...\n\nDefining the Tetris game constants and types, including the grid dimensions, block size, tetromino shapes, and color mappings for each piece. Defining the tetromino shapes and game constants...\n\nNow I'm setting up the piece interface and creating functions to instantiate pieces with proper positioning, then implementing rotation logic for both clockwise and counterclockwise directions.\n\nDefining the Game class with board state, current and next pieces, hold functionality, scoring system, and game state management... Setting up the canvas contexts and DOM element references...\n\nNow I'm initializing the game loop and spawning the first piece, then implementing the board creation and a 7-bag randomizer system to ensure fair piece distribution. Still writing game logic... Still writing game logic... Handling the arrow key controls for moving and rotating pieces...\n\nNow I'm implementing the pause toggle logic to switch between playing and paused states, and the restart function to reset the board and game variables. Writing the game loop and rendering... Finishing the canvas restoration and moving into the main draw function that sets up the dark background, renders the grid overlay, and begins iterating through locked cells to display them.\n\nNow I'm rendering the ghost piece preview by calculating where the current tetromino would land, drawing it with reduced opacity so the player can see the landing position. Writing the preview rendering... Finishing the rendering with highlight effects and shadow details, then updating the UI to display the current score, level, and lines cleared before initializing the game when the page loads.\n\nNow I'm designing the HTML layout with a three-column structure—hold piece on the left, main game board in the center, and next piece plus stats on the right—using a dark theme with flexbox for alignment.\n\nWriting the stylesheet... Still writing styles... I'm working through the hold piece logic now. On the first hold, there's no held piece yet, so I swap the current piece into hold and pull from the next piece queue. For subsequent holds, I need to swap the current piece with whatever's in hold, keeping the rotation going.\n\nFinalizing the implementation...\n\nI need to handle TypeScript's strict null checking carefully—particularly in `onKey` where I'm accessing properties on `this.current`. Rather than using non-null assertions, I'll wrap those operations in proper null checks to keep the code cleaner. There's also a subtle issue with the `loop` function when the game restarts that I need to address with the `requestAnimationFrame` binding.\n\nI'm tracking the animation frame ID so I can cancel it properly during restart and pause/resume cycles. This prevents multiple animation frames from running simultaneously and ensures clean state transitions. Now I'm ready to write out the complete implementation.\n\nActually, I need to refine the loop logic—when the game state changes to 'over', the animation should stop requesting new frames, but the final state still needs to render once so the UI stays up to date.\n\nRestructuring the game loop...\n\nRefining the overlay trigger...\n\nI'm realizing the `showOverlay` method should handle displaying the final board state before showing the overlay message, so the sequence is clean: lock the piece, detect game over, show the overlay with the final rendered board beneath it. The loop will naturally stop on the next frame since the state changes to 'over'.\n\nFor the drop accumulator, I should use a simple conditional check rather than a while loop—just drop once per frame cycle to keep the timing predictable and avoid catching up if the game lags. I'm overthinking the implementation details—time to just start coding. For the `drawBlock` function, I'll accept pixel coordinates directly so it works flexibly across the main canvas and preview windows, with the function handling the actual rendering including highlights and borders.\n\nNow I'm laying out the HTML structure... Building the main game board...\n\nNow I'm thinking through the drop speed mechanics—I'll use the classic NES Tetris formula where the drop interval decreases as the level increases, starting at 48 frames for level 1 and gradually accelerating down to 5 frames at higher levels. Still writing drop interval logic... Writing the game overlay...\n\nNow I'm working through the preview canvas dimensions to ensure pieces are properly centered regardless of their size—a 4×4 piece needs different padding than a 2×2 piece, so I'm calculating the offsets to keep everything visually balanced.\n\nI've settled on a 120×120 preview canvas with 24px blocks, which gives me clean centering math for all piece types. For the main game board, I'm going with 300px wide and 600px tall using 30px blocks, which feels like a good playable size.\n\nNow I'm implementing the drop interval calculation as a function based on NES Tetris gravity mechanics...\n\nWriting game code... Still writing styles... Still writing styles... Still writing styles... Building the main game board...\n\nI'm thinking through the preview canvas dimensions more carefully—the I piece is 4 units wide but only 1 tall in its standard orientation, so I need to account for how different tetromino shapes will display when showing the next piece. I'm realizing the I piece in its spawned orientation is actually just a single row, so I don't need the full 4-row height—I can use a more compact canvas like 120×80 to fit the preview without wasting space, though I need to be careful the piece doesn't get cut off when it rotates into its vertical form.\n\nWriting the preview drawing function... Still writing rendering logic...\n\nI'm settling on a 120×100 preview canvas with 24px blocks and moving forward with the full implementation.\n\nDefining the core constants... Defining helper functions for the game mechanics... Setting up the game state with score, level, and lines tracking, then initializing all the DOM elements I need for the canvases and UI displays.\n\nIn the constructor, I'm wiring up the event listeners for keyboard input and the restart button, spawning the first piece, and kicking off the game loop with requestAnimationFrame.\n\nNow I'm defining helper methods to create the board grid and manage the tetromino bag system—when the bag runs out, I shuffle a fresh set of piece types.\n\nImplementing the spawn logic to place the next piece and check for immediate collision, which triggers game over if the board is already full.\n\nStill writing collision detection... Writing game logic... Writing game logic... Handling the rest of the arrow key logic and other controls — down arrow moves the piece and increases score if it doesn't collide, up arrow and X rotate clockwise, Z rotates counter-clockwise, space triggers a hard drop, and C or either shift key activates the hold function. Then I'm setting up the pause toggle to switch the game status and update the overlay.\n\nNow I'm implementing the overlay display system to show titles and scores, and the restart function that resets the board, clears the piece bag, and initializes the next piece and held piece state.\n\nContinuing with the game loop...\n\nI'm handling the piece dropping logic by accumulating time and checking collisions, then either moving the piece down or locking it in place when it hits something. After that, I'm redrawing the canvas and updating the UI, then scheduling the next animation frame if the game is still active. Now I'm working on the drawing functions, starting with a method that renders individual blocks with a filled center and highlights on the top and left edges to give them dimension.\n\nContinuing with the canvas rendering... Drawing the ghost piece... Writing preview canvases... Finishing the offset calculation, then I'm setting the canvas state and iterating through the shape to draw each block at the correct position with the appropriate opacity. After that, I'm updating the UI elements to display the current score, level, and lines cleared.\n\nNow I'm initializing the game when the DOM loads, but I'm realizing there's a logic issue with the hold piece mechanic. When holding a piece for the first time, I need to swap the current piece with the next one and generate a fresh next piece, rather than just cycling through. Let me trace through the flow: I save the current piece type, then if there's already a held piece I swap it in, otherwise I use the next piece type. Then I generate a new next piece if needed, and finally store the saved type as the held piece.\n\nActually, I should add a collision check after holding to catch the rare case where the new piece immediately collides with the board at spawn. Adding that validation...\n\nNow I'm thinking through edge cases: the hold spam is prevented by the `canHold` flag, and pieces spawning at the top of a full board will trigger game over detection when they can't move down.\n\nI'll keep the background simple and flat rather than adding a gradient. Next, I want to implement DAS (Delayed Auto-Shift) so that holding left or right keys waits briefly before repeating the movement quickly, which is standard Tetris behavior.\n\nImplementing DAS with timers... I'm realizing there's a problem with reusing the same variable for both the initial timeout and the repeating interval—I can't tell them apart when I need to clear them, so I should probably use separate variables to track each timer independently. Implementing the keyboard handlers...\n\nNow I'm checking the TypeScript compilation requirements—making sure class field initializations are properly typed, DOM element assertions are safe, and null checks are handled correctly in strict mode. Refactoring the class to move all initialization into the constructor instead of field initializers to avoid potential TypeScript ordering issues and ensure the DOM is fully ready before accessing elements. Setting up the project configuration files...\n\nNow I'm writing the core Tetris game logic in TypeScript, defining the piece types, colors, and board constants to get started. Setting up the game mechanics now – defining drop speeds that increase with difficulty levels, score multipliers for clearing lines, and the delayed auto-shift timing for responsive controls. Then I'm starting to build out the helper functions, beginning with the board initialization.\n\nDefining rotation functions... Defining the Tetris class with game state like the current piece, held piece, score tracking, and various timing properties for piece movement and dropping. I'm also setting up canvas contexts and DOM elements for rendering the board, next piece preview, hold display, and game UI.\n\nNow I'm initializing the game in the constructor by creating the board, picking the first piece type, setting up all the DOM references, spawning the initial piece, and starting the game loop with requestAnimationFrame.\n\nThen I'm wiring up the DOM by grabbing all the canvas and UI elements I need, attaching keyboard event listeners for gameplay, and hooking up the restart button.\n\nFor the piece randomization, I'm implementing a bag system that shuffles through all seven tetromino types to ensure fair distribution—when the bag empties, I refill it with a fresh shuffled set.\n\nContinuing with game logic...\n\nNow I'm checking collision detection by iterating through the piece's shape and testing if any block would go out of bounds or overlap with existing blocks on the board. Then I'm implementing the lock function that places the current piece onto the board by marking those cells with the piece's color.\n\nAfter locking the piece, I need to sweep for completed lines, award points based on how many lines cleared and the current level, then spawn the next piece. The sweep function removes full rows from the bottom up, shifts everything down, and recalculates the score and level based on total lines cleared. I'm also working on the ghost piece logic to show where the current piece would land.\n\nWriting game mechanics... Writing game mechanics... Writing the input handler... Finishing the restart method and setting up the game loop...\n\nNow I'm implementing the main game loop that runs each frame—calculating the time delta, accumulating it for gravity, and dropping the piece when enough time has passed. If the piece can't move down, I lock it in place. Then I render the board and update the UI before scheduling the next frame.\n\nWriting the rendering methods... Writing the canvas rendering... Still writing rendering logic... Writing the preview rendering... Finishing up the UI updates and initializing the game when the DOM loads. I'm noticing a type inconsistency with the shapes—I defined them as readonly arrays but cast them as mutable in the preview function, so I'll simplify by making them mutable arrays and using spread syntax when creating pieces to keep the originals safe.\n\nDefining the shapes structure... I need to fix the parameter shadowing issue in the `requestAnimationFrame` callback by renaming it to `t` instead of `ts`. Then I'm ready to write out all the project files—the package configuration, TypeScript settings, the main game implementation, and supporting documentation like a README and gitignore.","signature":"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a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_016MfCh3LhfvfCGswCZ8dqZT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game using TypeScript that runs in the browser. I'll create a well-structured implementation with all standard Tetris mechanics.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main TypeScript file\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nActually, since this needs to run in a browser, I'll compile it to a single JS file. Let me think about the best approach:\n\nOption 1: Pure HTML + inline JS (compiled from TS)\n\n\nOption 2: Separate files with a build process\n\nI'll go with a proper setup that uses TypeScript with a build process. Let me create the necessary configuration files and then design the game mechanics. I need to define the seven standard Tetris pieces with their rotation states, set up a 10×20 game board, and implement core mechanics like piece rotation with wall kicks and line clearing with scoring.\n\nNow I'm adding the full feature set: ghost piece preview, next piece display, progressive difficulty that increases every 10 lines, hold piece functionality, and the standard Tetris scoring system. The controls map to arrow keys for movement, space for hard drop, rotation with arrow up or X, Z for counter-clockwise rotation, C to hold, and P to pause. The scoring follows classic Tetris rules where clears are worth more points at higher levels, plus bonuses for soft and hard drops.\n\nImplementing the TypeScript code... Defining the tetromino shapes... Now I'm thinking through the wall kick system and how to structure the full game implementation. I'll set up a TypeScript project with the standard Tetris mechanics—canvas rendering, piece movement, rotation with SRS wall kicks, next piece preview, hold functionality, scoring, and level progression.\n\nWriting the game logic... Defining wall kick data...\n\nNow I'm planning the full game architecture with a GameBoard class to handle the board state and a Tetromino class to represent individual pieces with their positions and rotations.\n\nWriting the complete implementation... Defining the piece data structures... Defining kick rotation tables... I'm setting up the scoring system with points for clearing lines and a level progression that increases difficulty every 10 lines cleared. The drop speed accelerates exponentially with each level, starting at 1000ms and decreasing by 15% per level with a minimum floor of 50ms to keep it playable. Now I'm planning the rendering approach—I'll use a single canvas for both the game board and side panel to keep things streamlined, with the board taking up the left portion and game info displayed on the right.\n\nImplementing wall kick system... I'm clarifying the coordinate system conversion between SRS (where +y is up) and my screen-based grid (where rows increase downward), so when applying kick offsets I need to subtract the y component rather than add it to account for the inverted axis. I'm laying out the wall kick data for the JLSTZ pieces across all rotation transitions, using screen coordinates where y increases downward. Now I'm converting those same kick offsets to screen coordinates by negating the y-values, working through each rotation transition systematically. I'm working through the wall kick offset values for the I piece across all its rotation states, mapping out how it translates in screen coordinates for each transition between orientations. I'm looking at the rotation offset data for different state transitions in what seems to be a Tetris piece rotation system. Now I need to implement the actual game logic, starting with a matrix rotation function that handles both clockwise and counterclockwise rotations using standard transformation formulas. Setting up the TypeScript file...\n\nI'm defining the game constants for the canvas dimensions, colors for the UI elements, and a function that maps game levels to piece drop speeds.\n\nNow I'm setting up the scoring system based on how many lines are cleared, then planning out the project structure with TypeScript configuration and build setup using the TypeScript compiler.\n\nFor the visual layout, I'm deciding between different canvas arrangements—either a traditional side panel setup or a more balanced three-column design with the hold piece on the left, the game board in the center, and next pieces plus stats on the right. I'm settling on a cell size of 32 pixels to keep everything proportional and visually clean, which gives me a 320-pixel-wide board and 640-pixel-tall play area.\n\nWith the right panel containing all the UI elements, my total canvas dimensions work out to 500 × 640 pixels. Now I'm ready to start building the actual implementation, focusing on solid game mechanics with proper SRS rotation, clean line clearing and scoring logic, a polished visual style with neon colors against a dark background, and all the standard Tetris features like hold functionality, next piece preview, and level progression.\n\nWriting the complete TypeScript implementation... Defining the remaining piece shapes and setting up the wall kick offsets for rotation... Defining kick coordinate mappings...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "off", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T21:06:42.259380+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:16:47.978494+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=off_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-t8g9c9gl","session_id":"c57f7cee-25e7-4353-af76-7208c7128165","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"c0538611-7681-46c3-bbae-20ab166ba8a4","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_016MfCh3LhfvfCGswCZ8dqZT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game using TypeScript that runs in the browser. I'll create a well-structured implementation with all standard Tetris mechanics.\n\nLet me plan the structure:\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main TypeScript file\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nActually, since this needs to run in a browser, I'll compile it to a single JS file. Let me think about the best approach:\n\nOption 1: Pure HTML + inline JS (compiled from TS)\n\n\nOption 2: Separate files with a build process\n\nI'll go with a proper setup that uses TypeScript with a build process. Let me create the necessary configuration files and then design the game mechanics. I need to define the seven standard Tetris pieces with their rotation states, set up a 10×20 game board, and implement core mechanics like piece rotation with wall kicks and line clearing with scoring.\n\nNow I'm adding the full feature set: ghost piece preview, next piece display, progressive difficulty that increases every 10 lines, hold piece functionality, and the standard Tetris scoring system. The controls map to arrow keys for movement, space for hard drop, rotation with arrow up or X, Z for counter-clockwise rotation, C to hold, and P to pause. The scoring follows classic Tetris rules where clears are worth more points at higher levels, plus bonuses for soft and hard drops.\n\nImplementing the TypeScript code... Defining the tetromino shapes... Now I'm thinking through the wall kick system and how to structure the full game implementation. I'll set up a TypeScript project with the standard Tetris mechanics—canvas rendering, piece movement, rotation with SRS wall kicks, next piece preview, hold functionality, scoring, and level progression.\n\nWriting the game logic... Defining wall kick data...\n\nNow I'm planning the full game architecture with a GameBoard class to handle the board state and a Tetromino class to represent individual pieces with their positions and rotations.\n\nWriting the complete implementation... Defining the piece data structures... Defining kick rotation tables... I'm setting up the scoring system with points for clearing lines and a level progression that increases difficulty every 10 lines cleared. The drop speed accelerates exponentially with each level, starting at 1000ms and decreasing by 15% per level with a minimum floor of 50ms to keep it playable. Now I'm planning the rendering approach—I'll use a single canvas for both the game board and side panel to keep things streamlined, with the board taking up the left portion and game info displayed on the right.\n\nImplementing wall kick system... I'm clarifying the coordinate system conversion between SRS (where +y is up) and my screen-based grid (where rows increase downward), so when applying kick offsets I need to subtract the y component rather than add it to account for the inverted axis. I'm laying out the wall kick data for the JLSTZ pieces across all rotation transitions, using screen coordinates where y increases downward. Now I'm converting those same kick offsets to screen coordinates by negating the y-values, working through each rotation transition systematically. I'm working through the wall kick offset values for the I piece across all its rotation states, mapping out how it translates in screen coordinates for each transition between orientations. I'm looking at the rotation offset data for different state transitions in what seems to be a Tetris piece rotation system. Now I need to implement the actual game logic, starting with a matrix rotation function that handles both clockwise and counterclockwise rotations using standard transformation formulas. Setting up the TypeScript file...\n\nI'm defining the game constants for the canvas dimensions, colors for the UI elements, and a function that maps game levels to piece drop speeds.\n\nNow I'm setting up the scoring system based on how many lines are cleared, then planning out the project structure with TypeScript configuration and build setup using the TypeScript compiler.\n\nFor the visual layout, I'm deciding between different canvas arrangements—either a traditional side panel setup or a more balanced three-column design with the hold piece on the left, the game board in the center, and next pieces plus stats on the right. I'm settling on a cell size of 32 pixels to keep everything proportional and visually clean, which gives me a 320-pixel-wide board and 640-pixel-tall play area.\n\nWith the right panel containing all the UI elements, my total canvas dimensions work out to 500 × 640 pixels. Now I'm ready to start building the actual implementation, focusing on solid game mechanics with proper SRS rotation, clean line clearing and scoring logic, a polished visual style with neon colors against a dark background, and all the standard Tetris features like hold functionality, next piece preview, and level progression.\n\nWriting the complete TypeScript implementation... Defining the remaining piece shapes and setting up the wall kick offsets for rotation... Defining kick coordinate mappings...","signature":"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diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01JsKVNQkXVRBvXjQcGzq5Hd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I'll build a complete Tetris game that runs in the browser using TypeScript. Let me plan out the structure:\n\n1. **index.html** - The main HTML file with the game canvas and UI\n2. **src/tetris.ts** - The main TypeScript game logic\n3. **package.json** - Dependencies (TypeScript, build tools)\n4. **tsconfig.json** - TypeScript configuration\n\nLet me think about what I need:\n\n### Game Components:\n- **Board**: 10x20 grid\n- **Pieces (Tetrominoes)**: I, O, T, S, Z, J, L (7 standard pieces)\n\n\n- **Game Loop**: requestAnimationFrame-based with arrow key controls and rotation\n- **Scoring System**: Lines cleared with level-based multipliers that increase every 10 lines\n- **UI Elements**: Score display, level counter, lines cleared, and a preview of the next piece\n\nI'll implement the core Tetris mechanics including piece rotation with wall kicks, line clearing detection, soft and hard drop functionality, and a ghost piece that previews where the current piece will land.\n\nFor the project structure, I'm setting up a TypeScript-based game with a simple build process using esbuild, keeping everything modular with separate files for game logic, types, and configuration.\n\nDefining the core types and interfaces...\n\nNow I'm planning out the visual design with a dark theme and the classic Tetris color palette for each piece type, along with the key gameplay features like the 10x20 board, SRS rotation system, ghost piece preview, hold mechanics, and a proper scoring system with level progression.\n\nI'll organize this as a TypeScript project with an HTML file, game logic module, and configuration files, rendering everything on a canvas element. The implementation will include all the standard controls—arrow keys for movement, Z and X for rotation, C to hold a piece, and Space for instant drops—plus a game over screen to complete the experience.\n\nDefining the tetromino shapes using the SRS rotation system... Defining the rotation states for the S, Z, and J tetromino pieces...\n\nNow I'm setting up the L piece rotations and then moving on to implement the SRS wall kick system for proper collision handling during rotations. After that, I'll write out the complete game code with all the necessary files. Writing the TypeScript implementation... I'm settling on 30px cells with a 600x660 canvas—left panel for the hold piece, the main 10x20 board in the center, and the right panel for next piece and score info.\n\nNow I'll implement the full game with Nintendo's scoring system: 100 points for a single line, scaling up to 800 for a Tetris, with level progression every 10 lines and speed increasing as levels go up.\n\nWriting the game code... Defining the SRS kick tables... I'm realizing I need to be careful about the coordinate system here. In standard Tetris, x goes right and y goes down on the board, but the SRS kick tables from the official guidelines use a coordinate system where positive y is up. So I'll need to negate the y values when translating them to our board coordinates where positive y means down.\n\nLet me define the wall kick offsets directly in (column, row) format where positive row means moving down the board, and I'll use a tested implementation rather than deriving it myself. I'm looking at the SRS kick test offsets for each state transition—these define the exact positions the piece tries when rotating, testing them in order until one succeeds. I'm working through the coordinate conversion for the rotation states, accounting for the Y-axis difference between the wiki's coordinate system and our board representation where I need to negate the Y values.\n\nDefining the wall kick data tables... Continuing to verify the rotation offsets for the I piece, checking the test cases for each state transition against the Tetris rotation system. Now I'm looking at the remaining state transitions and their coordinate mappings, finishing out the transitions between states 0, L, 2, and R with their respective test offsets, then converting to board coordinates with the Y-axis negated. I've got the rotation system mapped out, so now I'm ready to build the full game. I'll organize this into a few files—a package configuration, TypeScript setup, HTML structure, and the main game logic. I'm thinking a canvas-based approach makes sense here, where I render the board, pieces, ghost piece, and UI all on a single canvas with a game loop using `requestAnimationFrame` to handle the automatic dropping and timing.\n\nFor the layout, I'm picturing three vertical sections: a left panel for the held piece, the main game board in the center, and a right panel showing score, level, lines cleared, and the next piece. I'm calculating the dimensions now—using 30-pixel cells, the board will be 300 pixels wide and 600 pixels tall, with the left panel taking up 140 pixels and the right panel 160 pixels, giving me a total canvas width of 580 pixels and height of 620 pixels with some padding.\n\nNow I'm setting up the TypeScript game structure...\n\nDefining piece colors and rotation states... Defining the rotation states for the remaining tetromino pieces... Defining the piece rotations...\n\nNow I'm verifying the I piece rotations to make sure they're correct—checking that each rotation properly represents the horizontal and vertical orientations of a straight line.\n\nI think I should simplify my approach rather than trying to perfectly match the Super Rotation System. I'll define each tetromino with its rotation states, handle collisions, and apply wall kicks when needed. For the grid sizes, I'll use 3x3 for most pieces and 4x4 for the I piece and O piece to give them proper 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4729,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":4729,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"f35667fc-0951-472e-a31c-19ff78ef3b4b","uuid":"5d9902cd-093e-44d5-af84-39e1865db761"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T19:12:39.825181+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T19:22:43.329250+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-8hgrn2w1","session_id":"f35667fc-0951-472e-a31c-19ff78ef3b4b","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"39db21c6-a875-44c5-b6f1-c01fd669baba","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01JsKVNQkXVRBvXjQcGzq5Hd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"I'll build a complete Tetris game that runs in the browser using TypeScript. Let me plan out the structure:\n\n1. **index.html** - The main HTML file with the game canvas and UI\n2. **src/tetris.ts** - The main TypeScript game logic\n3. **package.json** - Dependencies (TypeScript, build tools)\n4. **tsconfig.json** - TypeScript configuration\n\nLet me think about what I need:\n\n### Game Components:\n- **Board**: 10x20 grid\n- **Pieces (Tetrominoes)**: I, O, T, S, Z, J, L (7 standard pieces)\n\n\n- **Game Loop**: requestAnimationFrame-based with arrow key controls and rotation\n- **Scoring System**: Lines cleared with level-based multipliers that increase every 10 lines\n- **UI Elements**: Score display, level counter, lines cleared, and a preview of the next piece\n\nI'll implement the core Tetris mechanics including piece rotation with wall kicks, line clearing detection, soft and hard drop functionality, and a ghost piece that previews where the current piece will land.\n\nFor the project structure, I'm setting up a TypeScript-based game with a simple build process using esbuild, keeping everything modular with separate files for game logic, types, and configuration.\n\nDefining the core types and interfaces...\n\nNow I'm planning out the visual design with a dark theme and the classic Tetris color palette for each piece type, along with the key gameplay features like the 10x20 board, SRS rotation system, ghost piece preview, hold mechanics, and a proper scoring system with level progression.\n\nI'll organize this as a TypeScript project with an HTML file, game logic module, and configuration files, rendering everything on a canvas element. The implementation will include all the standard controls—arrow keys for movement, Z and X for rotation, C to hold a piece, and Space for instant drops—plus a game over screen to complete the experience.\n\nDefining the tetromino shapes using the SRS rotation system... Defining the rotation states for the S, Z, and J tetromino pieces...\n\nNow I'm setting up the L piece rotations and then moving on to implement the SRS wall kick system for proper collision handling during rotations. After that, I'll write out the complete game code with all the necessary files. Writing the TypeScript implementation... I'm settling on 30px cells with a 600x660 canvas—left panel for the hold piece, the main 10x20 board in the center, and the right panel for next piece and score info.\n\nNow I'll implement the full game with Nintendo's scoring system: 100 points for a single line, scaling up to 800 for a Tetris, with level progression every 10 lines and speed increasing as levels go up.\n\nWriting the game code... Defining the SRS kick tables... I'm realizing I need to be careful about the coordinate system here. In standard Tetris, x goes right and y goes down on the board, but the SRS kick tables from the official guidelines use a coordinate system where positive y is up. So I'll need to negate the y values when translating them to our board coordinates where positive y means down.\n\nLet me define the wall kick offsets directly in (column, row) format where positive row means moving down the board, and I'll use a tested implementation rather than deriving it myself. I'm looking at the SRS kick test offsets for each state transition—these define the exact positions the piece tries when rotating, testing them in order until one succeeds. I'm working through the coordinate conversion for the rotation states, accounting for the Y-axis difference between the wiki's coordinate system and our board representation where I need to negate the Y values.\n\nDefining the wall kick data tables... Continuing to verify the rotation offsets for the I piece, checking the test cases for each state transition against the Tetris rotation system. Now I'm looking at the remaining state transitions and their coordinate mappings, finishing out the transitions between states 0, L, 2, and R with their respective test offsets, then converting to board coordinates with the Y-axis negated. I've got the rotation system mapped out, so now I'm ready to build the full game. I'll organize this into a few files—a package configuration, TypeScript setup, HTML structure, and the main game logic. I'm thinking a canvas-based approach makes sense here, where I render the board, pieces, ghost piece, and UI all on a single canvas with a game loop using `requestAnimationFrame` to handle the automatic dropping and timing.\n\nFor the layout, I'm picturing three vertical sections: a left panel for the held piece, the main game board in the center, and a right panel showing score, level, lines cleared, and the next piece. I'm calculating the dimensions now—using 30-pixel cells, the board will be 300 pixels wide and 600 pixels tall, with the left panel taking up 140 pixels and the right panel 160 pixels, giving me a total canvas width of 580 pixels and height of 620 pixels with some padding.\n\nNow I'm setting up the TypeScript game structure...\n\nDefining piece colors and rotation states... Defining the rotation states for the remaining tetromino pieces... Defining the piece rotations...\n\nNow I'm verifying the I piece rotations to make sure they're correct—checking that each rotation properly represents the horizontal and vertical orientations of a straight line.\n\nI think I should simplify my approach rather than trying to perfectly match the Super Rotation System. I'll define each tetromino with its rotation states, handle collisions, and apply wall kicks when needed. For the grid sizes, I'll use 3x3 for most pieces and 4x4 for the I piece and O piece to give them proper 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4729,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":4729,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"f35667fc-0951-472e-a31c-19ff78ef3b4b","uuid":"5d9902cd-093e-44d5-af84-39e1865db761"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01VEYCywM3VBSCczJxV61XL4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured, fully functional Tetris game with all standard mechanics.\n\nHere's my plan:\n1. Create an `index.html` file\n2. Create a `tetris.ts` TypeScript file with all game logic\n3. Create a `styles.css` for styling\n4. Create a `tsconfig.json` for TypeScript configuration\n5. Create a simple build script or use a bundler\n\nActually, since this needs to run in a browser without complex build setups, I'll use TypeScript but compile it to JavaScript. Let me think about the best approach...\n\n\nI'm weighing different approaches for getting TypeScript to run in the browser—I could compile it ahead of time with a build script, use a CDN-based TypeScript compiler, or just write it in plain JavaScript. I think the cleanest solution is to set up a proper project structure with TypeScript source files, a tsconfig, and a build process so everything compiles to JavaScript that runs directly in the browser.\n\nNow I'm planning out the core game architecture with a 10x20 grid and the standard Tetris pieces...\n\nDefining the Tetromino shapes... Finishing up the tetromino definitions and now planning out the overall structure with types, constants, and the main game classes I'll need. I'm laying out the HTML structure with a main game board canvas, a side panel for the next piece preview, and stat displays for score, level, and lines. Now I'm moving into the full implementation to handle all the core mechanics.\n\nI'm implementing rotation using the SRS (Super Rotation System) with wall kick offsets—this lets pieces rotate even when they're near walls by trying different position adjustments before giving up on the rotation.\n\nImplementing wall kick data... Writing the piece rotation logic... Defining the piece definitions...\n\nNow I'm setting up the game mechanics—establishing drop intervals that accelerate through levels, calculating scores based on cleared lines and current level, and creating the data structure for tracking active pieces with their type, rotation state, and position on the board.\n\nSetting up the TetrisGame class... Setting up the piece spawning logic where I randomly select the next piece type and check if it can be placed at the center top of the board, ending the game if the spawn position is blocked.\n\nNow I'm implementing validation to check if a piece can occupy its current position by iterating through its shape and ensuring all filled cells are within bounds and don't collide with locked pieces.\n\nContinuing with the game logic...\n\nI'm implementing the line-clearing mechanism by removing completed rows and shifting everything down, then calculating where the ghost piece should appear by finding the lowest valid position. For rotation, I'm computing the new rotation index with wraparound and setting up wall kick logic.\n\nStill writing game mechanics... Completing the hard drop logic and implementing the main drop mechanism that handles piece locking, line clearing with score multipliers based on level, and game over detection...\n\nSetting up the input handler... Writing game logic... Writing the rendering logic... Writing the rendering logic... Writing the piece rendering logic... Finishing the rendering logic...\n\nNow I'm thinking through the rotation mechanics for the different pieces. The O piece doesn't really rotate since all four rotations look identical, while the I piece has two distinct orientations. I'll generate all four rotation states for consistency but they'll effectively be duplicates for the O piece.\n\nLet me verify the rotation algorithm works correctly by testing it with the L piece as an example. I'm using the transpose-then-reverse-rows approach for a 90-degree clockwise rotation, and I need to make sure the coordinates map properly. I need to carefully work through the transpose step by step. For the L piece matrix, I'm mapping each element from the original position to its transposed position, then I'll reverse each row to complete the 90° clockwise 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce975c12-f28e-4e12-8bba-3420d2284352","uuid":"c9f69df5-96df-47e7-a4a6-10135790e79e"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T19:14:29.578248+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T19:24:34.794844+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-d5an9mg6","session_id":"ce975c12-f28e-4e12-8bba-3420d2284352","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"e9abfe9a-489d-4fec-8fd5-05dad71aa6d9","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01VEYCywM3VBSCczJxV61XL4","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me build a complete Tetris game in TypeScript that runs in the browser. I'll create a well-structured, fully functional Tetris game with all standard mechanics.\n\nHere's my plan:\n1. Create an `index.html` file\n2. Create a `tetris.ts` TypeScript file with all game logic\n3. Create a `styles.css` for styling\n4. Create a `tsconfig.json` for TypeScript configuration\n5. Create a simple build script or use a bundler\n\nActually, since this needs to run in a browser without complex build setups, I'll use TypeScript but compile it to JavaScript. Let me think about the best approach...\n\n\nI'm weighing different approaches for getting TypeScript to run in the browser—I could compile it ahead of time with a build script, use a CDN-based TypeScript compiler, or just write it in plain JavaScript. I think the cleanest solution is to set up a proper project structure with TypeScript source files, a tsconfig, and a build process so everything compiles to JavaScript that runs directly in the browser.\n\nNow I'm planning out the core game architecture with a 10x20 grid and the standard Tetris pieces...\n\nDefining the Tetromino shapes... Finishing up the tetromino definitions and now planning out the overall structure with types, constants, and the main game classes I'll need. I'm laying out the HTML structure with a main game board canvas, a side panel for the next piece preview, and stat displays for score, level, and lines. Now I'm moving into the full implementation to handle all the core mechanics.\n\nI'm implementing rotation using the SRS (Super Rotation System) with wall kick offsets—this lets pieces rotate even when they're near walls by trying different position adjustments before giving up on the rotation.\n\nImplementing wall kick data... Writing the piece rotation logic... Defining the piece definitions...\n\nNow I'm setting up the game mechanics—establishing drop intervals that accelerate through levels, calculating scores based on cleared lines and current level, and creating the data structure for tracking active pieces with their type, rotation state, and position on the board.\n\nSetting up the TetrisGame class... Setting up the piece spawning logic where I randomly select the next piece type and check if it can be placed at the center top of the board, ending the game if the spawn position is blocked.\n\nNow I'm implementing validation to check if a piece can occupy its current position by iterating through its shape and ensuring all filled cells are within bounds and don't collide with locked pieces.\n\nContinuing with the game logic...\n\nI'm implementing the line-clearing mechanism by removing completed rows and shifting everything down, then calculating where the ghost piece should appear by finding the lowest valid position. For rotation, I'm computing the new rotation index with wraparound and setting up wall kick logic.\n\nStill writing game mechanics... Completing the hard drop logic and implementing the main drop mechanism that handles piece locking, line clearing with score multipliers based on level, and game over detection...\n\nSetting up the input handler... Writing game logic... Writing the rendering logic... Writing the rendering logic... Writing the piece rendering logic... Finishing the rendering logic...\n\nNow I'm thinking through the rotation mechanics for the different pieces. The O piece doesn't really rotate since all four rotations look identical, while the I piece has two distinct orientations. I'll generate all four rotation states for consistency but they'll effectively be duplicates for the O piece.\n\nLet me verify the rotation algorithm works correctly by testing it with the L piece as an example. I'm using the transpose-then-reverse-rows approach for a 90-degree clockwise rotation, and I need to make sure the coordinates map properly. I need to carefully work through the transpose step by step. For the L piece matrix, I'm mapping each element from the original position to its transposed position, then I'll reverse each row to complete the 90° clockwise rotation.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":487,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":487,"ephemeral_1h_input_tokens":0},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"ce975c12-f28e-4e12-8bba-3420d2284352","uuid":"c9f69df5-96df-47e7-a4a6-10135790e79e"} diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json b/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011ygQYx5Q8JWodJPwvaWm5u","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants me to build a playable Tetris game that works in a web browser using TypeScript. Let me create a complete Tetris implementation with all standard mechanics:\n\n1. Piece rotation\n2. Line clearing\n3. Scoring system\n4. Increasing speed\n5. Keyboard controls for movement and rotation\n\nI'll create a well-structured TypeScript project with:\n- HTML file for the game canvas/UI\n- TypeScript file for game logic\n- CSS for styling\n\nLet me plan the structure:\n\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main TypeScript game logic\n\n\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nI'll set up a proper project structure with all the necessary configuration files. The game will use a standard 10x20 grid with the 7 classic Tetris pieces (I, O, T, S, Z, J, L), and I'll implement keyboard controls for left/right movement, down for soft drop, and rotation.\n\nDefining the Tetromino types and pieces... Defining the Tetris piece shapes and colors... Writing the game logic... Defining the Tetris piece types and board structure... Building the HTML structure... I'm setting up the project structure with TypeScript, a build configuration, and organizing the files so everything compiles and runs smoothly in the browser.\n\nNow I'm planning out the core game mechanics: a 10x20 grid with all seven standard Tetris pieces, rotation using matrix transformations with wall kick offsets, a ghost piece preview, and a scoring system that awards more points for clearing multiple lines at once. I'll also implement a level progression system where the game speeds up every 10 lines cleared, add a next piece preview, and include pause functionality.\n\nWriting the TypeScript implementation... Setting up the game constants and piece definitions...\n\nNow I'm defining helper functions to create and manipulate pieces—generating random tetromino types, handling rotation logic, and setting up collision detection.\n\nImplementing collision detection... Writing the drawing functions... Writing the board rendering... Writing the piece rendering functions...\n\nNow I'm setting up the game state interface with properties for the board, current and next pieces, score tracking, and game status flags, then initializing it with default values. Starting to build the main TetrisGame class that will manage the canvas and rendering context.\n\nSetting up the game class properties... Setting up keyboard controls for the game, handling Enter to start, P to pause, and arrow keys plus Space for piece movement and rotation.\n\nNow I'm implementing the game initialization and pause toggle logic, resetting the game state and managing the overlay display when pausing or resuming.\n\nImplementing piece movement and rotation... Writing game state logic... Writing the game loop logic... I'm thinking through the project setup now—I'll keep it simple with TypeScript compilation and let users open the HTML file directly without needing a dev server. I want to implement the 7-bag randomizer for piece selection to make the game feel more balanced and fair.\n\nFor scoring, I'm using the standard Tetris formula where line clears multiply by level, and I'm applying the official Guideline speed curve to make the game progressively harder—starting at 1 second per drop at level 1 and accelerating significantly as levels increase.\n\nImplementing the speed formula...","signature":"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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":4241,"cache_creation"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b/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json b/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "high", - "prompt_style": "simple", - "language": "typescript", - "human_language": "es", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3", - "run_number": 3, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:56:36.716000+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T21:06:41.324051+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl b/results/runs/tetris_context_file=none_effort=high_human_language=es_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run3/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "high", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Construye un juego de Tetris jugable que funcione en un navegador web. Debe tener todas las mecanicas estandar: rotacion de piezas, eliminacion de lineas, puntuacion y velocidad creciente. Usa controles de teclado para el movimiento y la rotacion.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-fp5393e8","session_id":"cc02b017-062b-4427-a7f4-29eb6a9d1159","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"2e40250b-9922-42d5-9811-0f0e4730a1f6","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_011ygQYx5Q8JWodJPwvaWm5u","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants me to build a playable Tetris game that works in a web browser using TypeScript. Let me create a complete Tetris implementation with all standard mechanics:\n\n1. Piece rotation\n2. Line clearing\n3. Scoring system\n4. Increasing speed\n5. Keyboard controls for movement and rotation\n\nI'll create a well-structured TypeScript project with:\n- HTML file for the game canvas/UI\n- TypeScript file for game logic\n- CSS for styling\n\nLet me plan the structure:\n\n1. `index.html` - Main HTML file\n2. `src/tetris.ts` - Main TypeScript game logic\n\n\n3. `package.json` - For TypeScript compilation\n4. `tsconfig.json` - TypeScript configuration\n\nI'll set up a proper project structure with all the necessary configuration files. The game will use a standard 10x20 grid with the 7 classic Tetris pieces (I, O, T, S, Z, J, L), and I'll implement keyboard controls for left/right movement, down for soft drop, and rotation.\n\nDefining the Tetromino types and pieces... Defining the Tetris piece shapes and colors... Writing the game logic... Defining the Tetris piece types and board structure... Building the HTML structure... I'm setting up the project structure with TypeScript, a build configuration, and organizing the files so everything compiles and runs smoothly in the browser.\n\nNow I'm planning out the core game mechanics: a 10x20 grid with all seven standard Tetris pieces, rotation using matrix transformations with wall kick offsets, a ghost piece preview, and a scoring system that awards more points for clearing multiple lines at once. I'll also implement a level progression system where the game speeds up every 10 lines cleared, add a next piece preview, and include pause functionality.\n\nWriting the TypeScript implementation... Setting up the game constants and piece definitions...\n\nNow I'm defining helper functions to create and manipulate pieces—generating random tetromino types, handling rotation logic, and setting up collision detection.\n\nImplementing collision detection... Writing the drawing functions... Writing the board rendering... Writing the piece rendering functions...\n\nNow I'm setting up the game state interface with properties for the board, current and next pieces, score tracking, and game status flags, then initializing it with default values. Starting to build the main TetrisGame class that will manage the canvas and rendering context.\n\nSetting up the game class properties... Setting up keyboard controls for the game, handling Enter to start, P to pause, and arrow keys plus Space for piece movement and rotation.\n\nNow I'm implementing the game initialization and pause toggle logic, resetting the game state and managing the overlay display when pausing or resuming.\n\nImplementing piece movement and rotation... Writing game state logic... Writing the game loop logic... I'm thinking through the project setup now—I'll keep it simple with TypeScript compilation and let users open the HTML file directly without needing a dev server. I want to implement the 7-bag randomizer for piece selection to make the game feel more balanced and fair.\n\nFor scoring, I'm using the standard Tetris formula where line clears multiply by level, and I'm applying the official Guideline speed curve to make the game progressively harder—starting at 1 second per drop at level 1 and accelerating significantly as levels increase.\n\nImplementing the speed 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":518,"cache_read_input_tokens":4241,"cache_creation":{"ephemeral_5m_input_tokens":518,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"cc02b017-062b-4427-a7f4-29eb6a9d1159","uuid":"f2ded488-9c71-481c-b01d-a570f4c253fa"} diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019gmSXop2Nz18kABkZQi98e","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using TypeScript. Let me build a complete Tetris game with:\n\n1. All 7 standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z for rotation)\n\nI'll create:\n- `index.html` - Main HTML file\n- `src/tetris.ts` - TypeScript source\n- `tsconfig.json` - TypeScript config\n\n\n- `package.json` with TypeScript and esbuild for compilation\n\nI need to set up a build process so the TypeScript compiles to JavaScript that the browser can run, then I'll create the game logic with all the core mechanics.\n\nLet me structure this with an HTML file that references the compiled output, a TypeScript source file for the game, and the necessary config files. I'm planning the Tetris pieces with their standard colors and shapes, then I'll implement the board logic, collision detection, and game loop.\n\nWriting the game code... Finishing up the tetromino piece definitions with the remaining shapes, then moving on to build out the actual game logic.\n\nNow I'm setting up the full TypeScript class structure with the HTML canvas, configuration files, and build tooling using esbuild to compile everything.\n\nWriting the game files... Building the game class... Defining all seven tetromino pieces... Setting up the build configuration with esbuild and TypeScript, then writing the core game logic with the board state, piece definitions, and color palette... Defining the tetromino shapes and game mechanics... Writing game logic... Setting up the canvas elements and DOM references... Setting up keyboard event listeners to handle game controls—checking for game over and pause states, then routing arrow keys and other inputs to move pieces left and right, drop them down, and rotate them.\n\nStill writing game logic... Implementing wall kick logic to try different horizontal offsets when rotating, then handling soft and hard drops with collision detection. Writing game logic... Writing the rendering logic... Writing the block rendering... Writing game state handlers... I'm tracing through the game flow to make sure the restart logic works correctly. The constructor shows the initial overlay, then when the user presses Enter, `start()` kicks off the game loop with `requestAnimationFrame`. When the game ends, the overlay reappears, and pressing Enter again triggers `restart()` which resets all the game state. Since the animation loop is already running continuously (it just checks the `gameOver` and `paused` flags), I don't need to restart it—just reset the variables and hide the overlay so the loop can continue.\n\nThe tricky part is managing the event listeners: `setupControls` adds a keydown handler that runs for the entire game, and the initial overlay also adds its own listener. Since `setupControls` runs during construction before the overlay listener is added, the setup handler fires first, but I need to make sure the initial state doesn't cause conflicts when the game hasn't started yet.\n\nI'll introduce a state machine with clear states—`waiting`, `playing`, `paused`, and `gameover`—so the keydown handler can check the current state and only process movement or game actions when appropriate. This way, I can ignore input during the waiting state and avoid trying to move pieces before the game loop has actually started.\n\nWriting the refactored version... Still writing the game loop...","signature":"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-\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "max", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1", - "run_number": 1, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:46:29.796093+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T20:56:35.380863+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run1/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "max", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-2orr26l3","session_id":"1c8e7d9e-6b26-49cb-9000-21b90102dda6","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"dc7183ef-dc5f-4811-832d-fb3afb0d00a0","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_019gmSXop2Nz18kABkZQi98e","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game that runs in a browser using TypeScript. Let me build a complete Tetris game with:\n\n1. All 7 standard Tetris pieces (I, O, T, S, Z, J, L)\n2. Piece rotation\n3. Line clearing\n4. Scoring system\n5. Increasing speed\n6. Keyboard controls (arrow keys for movement, up arrow or Z for rotation)\n\nI'll create:\n- `index.html` - Main HTML file\n- `src/tetris.ts` - TypeScript source\n- `tsconfig.json` - TypeScript config\n\n\n- `package.json` with TypeScript and esbuild for compilation\n\nI need to set up a build process so the TypeScript compiles to JavaScript that the browser can run, then I'll create the game logic with all the core mechanics.\n\nLet me structure this with an HTML file that references the compiled output, a TypeScript source file for the game, and the necessary config files. I'm planning the Tetris pieces with their standard colors and shapes, then I'll implement the board logic, collision detection, and game loop.\n\nWriting the game code... Finishing up the tetromino piece definitions with the remaining shapes, then moving on to build out the actual game logic.\n\nNow I'm setting up the full TypeScript class structure with the HTML canvas, configuration files, and build tooling using esbuild to compile everything.\n\nWriting the game files... Building the game class... Defining all seven tetromino pieces... Setting up the build configuration with esbuild and TypeScript, then writing the core game logic with the board state, piece definitions, and color palette... Defining the tetromino shapes and game mechanics... Writing game logic... Setting up the canvas elements and DOM references... Setting up keyboard event listeners to handle game controls—checking for game over and pause states, then routing arrow keys and other inputs to move pieces left and right, drop them down, and rotate them.\n\nStill writing game logic... Implementing wall kick logic to try different horizontal offsets when rotating, then handling soft and hard drops with collision detection. Writing game logic... Writing the rendering logic... Writing the block rendering... Writing game state handlers... I'm tracing through the game flow to make sure the restart logic works correctly. The constructor shows the initial overlay, then when the user presses Enter, `start()` kicks off the game loop with `requestAnimationFrame`. When the game ends, the overlay reappears, and pressing Enter again triggers `restart()` which resets all the game state. Since the animation loop is already running continuously (it just checks the `gameOver` and `paused` flags), I don't need to restart it—just reset the variables and hide the overlay so the loop can continue.\n\nThe tricky part is managing the event listeners: `setupControls` adds a keydown handler that runs for the entire game, and the initial overlay also adds its own listener. Since `setupControls` runs during construction before the overlay listener is added, the setup handler fires first, but I need to make sure the initial state doesn't cause conflicts when the game hasn't started yet.\n\nI'll introduce a state machine with clear states—`waiting`, `playing`, `paused`, and `gameover`—so the keydown handler can check the current state and only process movement or game actions when appropriate. This way, I can ignore input during the waiting state and avoid trying to move pieces before the game loop has actually started.\n\nWriting the refactored version... Still writing the game 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diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_output.json @@ -1 +0,0 @@ -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01BgxYDnzETojB4JFTr7Bxcd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in TypeScript that runs in a browser. Let me plan the implementation:\n\n1. **Game Structure:**\n - HTML file with a canvas element\n - TypeScript file with game logic\n - CSS for styling\n\n2. **Features to implement:**\n - All 7 Tetromino pieces (I, O, T, S, Z, J, L)\n - Piece rotation\n - Line clearing\n - Scoring system\n - Increasing speed\n - Keyboard controls (Arrow keys for movement, Up/Z/X for rotation)\n \n3. **Game mechanics:**\n - 10x20 grid board with pieces spawning at the top, falling under gravity with collision detection\n - Full rows clear automatically, increasing the score and level speed\n - Game ends when pieces stack to the top\n\nI'll set up the project with an HTML file, TypeScript game logic, and configuration files. Since this needs to run directly in a browser, I should use a simple approach that compiles TypeScript without requiring a complex build process.\n\nI'm defining the core game constants like the 30-pixel cell size and the seven Tetromino pieces with their colors, then setting up the keyboard controls for movement and rotation.\n\nWriting TypeScript code... Defining the game constants and tetromino shapes... I'm defining a rotation function that transforms a matrix clockwise by remapping each element to its new position. Now I'm setting up the complete game implementation with a game loop using `requestAnimationFrame` and delta time tracking, along with the necessary configuration files.\n\nBuilding the full Tetris game... Writing the TypeScript implementation... I'll simplify this and use a basic wall kick system that tests a few offset positions instead of the full SRS specification. Now I'm setting up the TypeScript implementation with the game constants, wall kick data, and the main TetrisGame class that manages the canvas contexts, board state, and current piece.\n\nDefining the game state properties... Writing the complete Tetris implementation... Defining the tetromino shapes... Defining wall kick offsets... Defining wall kick offset tables... Writing the game class... Setting up the game canvases and input handling...\n\nNow I'm planning out the full UI layout with a dark neon aesthetic—game board centered with score and stats on the left, next piece and hold piece previews on the right, plus I'll add visual polish like ghost pieces, line clear animations, and a pause screen.\n\nFor the game loop, I need to handle DAS (Delayed Auto Shift) by tracking key states and repeating movement after an initial delay, then update the drop counter each frame and move pieces down when the interval is reached, all while rendering the board, placed pieces, ghost piece, current piece, and any active animations.\n\nNow I'm laying out the full implementation with HTML for the UI, TypeScript for the game logic including SRS rotation and 7-bag randomization, and the necessary config files. I'll need to account for the spawn buffer above the visible play area.\n\nWriting the complete implementation... Defining the tetromino shapes...\n\nNow I'm setting up the wall kick offsets for the standard rotation system, which handles how pieces adjust their position when they rotate near walls or other obstacles. Finishing the kick rotation data for the I-piece, then setting up the scoring system with line clear multipliers and a function that calculates drop speed based on difficulty level, which gets faster as the game progresses.\n\nDefining the core piece interface with its type, shape matrix, color, and position properties including rotation state.\n\nImplementing rotation helper functions... Setting up the game state with the board, piece management including current/next/held pieces with a bag system for randomization, and tracking score, level, lines cleared, combo multiplier, and game status 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4728,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":4728,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"d76b698e-1c1c-4192-b58a-66bf541ee1e5","uuid":"f1c84446-c5ff-4ea3-b2a9-d97be343a54e"} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/claude_stderr.log diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/eval_results.json @@ -1,45 +0,0 @@ -{ - "structural": { - "pass": false, - "checks": [ - { - "name": "entry_point_exists", - "pass": false, - "detail": "no index.html found in workspace root, dist/, or public/" - }, - { - "name": "package_json_exists", - "pass": true, - "detail": "package.json found" - }, - { - "name": "build_succeeds", - "pass": true, - "detail": "no build script defined (static project)" - } - ], - "score": 0.67 - }, - "functional": { - "pass": false, - "error": "playwright eval not yet wired", - "score": 0 - }, - "quality": { - "lint": { - "pass": true, - "errors": 0, - "warnings": 0 - }, - "typecheck": { - "pass": false, - "error": "no tsconfig.json" - }, - "performance": { - "bundle_size_bytes": 0, - "size_under_512kb": true - }, - "score": 0.33 - }, - "score": 0.216 -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/meta.json @@ -1,30 +0,0 @@ -{ - "model": "sonnet", - "effort": "max", - "prompt_style": "simple", - "language": "typescript", - "human_language": "en", - "tool_read": "on", - "tool_write": "on", - "tool_edit": "on", - "tool_glob": "on", - "tool_grep": "on", - "linter": "on", - "playwright": "on", - "context_file": "none", - "sub_agents": "on", - "web_search": "on", - "max_budget": "low", - "task": "tetris", - "cell_id": "tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on", - "runs_per_cell": 3, - "timeout_seconds": 600, - "max_budget_usd": 0.5, - "run_id": "tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2", - "run_number": 2, - "claude_version": "2.1.91 (Claude Code)", - "started_at": "2026-04-03T20:46:29.796179+00:00", - "wall_time_seconds": 600, - "exit_code": 124, - "completed_at": "2026-04-03T20:56:35.910351+00:00" -} -\ No newline at end of file diff --git a/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl b/results/runs/tetris_context_file=none_effort=max_human_language=en_language=typescript_linter=on_max_budget=low_model=sonnet_playwright=on_prompt_style=simple_sub_agents=on_tool_edit=on_tool_glob=on_tool_grep=on_tool_read=on_tool_write=on_web_search=on_run2/transcript.jsonl @@ -1,4 +0,0 @@ -{"type": "harness", "subtype": "config", "model": "sonnet", "effort": "max", "tools": ["Bash", "Read", "Write", "Edit", "Glob", "Grep", "Agent", "WebSearch", "WebFetch"], "max_budget_usd": 0.5, "timeout_seconds": 600, "task": "tetris", "language": "typescript", "prompt_style": "simple"} -{"type": "user", "subtype": "prompt", "message": {"role": "user", "content": "Build a playable Tetris game that runs in a browser. It should have all the standard mechanics: piece rotation, line clearing, scoring, and increasing speed. Use keyboard controls for movement and rotation.\n\n\nUse TypeScript."}} -{"type":"system","subtype":"init","cwd":"/tmp/loop-bench-rgwj6aig","session_id":"d76b698e-1c1c-4192-b58a-66bf541ee1e5","tools":["Bash","Edit","Read"],"mcp_servers":[],"model":"claude-sonnet-4-6","permissionMode":"dontAsk","slash_commands":["update-config","debug","simplify","batch","loop","schedule","claude-api","compact","context","cost","heapdump","init","release-notes","review","security-review","insights"],"apiKeySource":"apiKeyHelper","claude_code_version":"2.1.91","output_style":"default","agents":["general-purpose","statusline-setup","Explore","Plan"],"skills":["update-config","debug","simplify","batch","loop","schedule","claude-api"],"plugins":[{"name":"claude-hud","path":"/root/.claude/plugins/marketplaces/claude-hud/","source":"claude-hud@claude-hud"},{"name":"rust-analyzer-lsp","path":"/root/.claude/plugins/marketplaces/claude-plugins-official/plugins/rust-analyzer-lsp","source":"rust-analyzer-lsp@claude-plugins-official"}],"uuid":"5d793b36-6bee-48d2-943b-755ed4bf07f8","fast_mode_state":"off"} -{"type":"assistant","message":{"model":"claude-sonnet-4-6","id":"msg_01BgxYDnzETojB4JFTr7Bxcd","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants a playable Tetris game in TypeScript that runs in a browser. Let me plan the implementation:\n\n1. **Game Structure:**\n - HTML file with a canvas element\n - TypeScript file with game logic\n - CSS for styling\n\n2. **Features to implement:**\n - All 7 Tetromino pieces (I, O, T, S, Z, J, L)\n - Piece rotation\n - Line clearing\n - Scoring system\n - Increasing speed\n - Keyboard controls (Arrow keys for movement, Up/Z/X for rotation)\n \n3. **Game mechanics:**\n - 10x20 grid board with pieces spawning at the top, falling under gravity with collision detection\n - Full rows clear automatically, increasing the score and level speed\n - Game ends when pieces stack to the top\n\nI'll set up the project with an HTML file, TypeScript game logic, and configuration files. Since this needs to run directly in a browser, I should use a simple approach that compiles TypeScript without requiring a complex build process.\n\nI'm defining the core game constants like the 30-pixel cell size and the seven Tetromino pieces with their colors, then setting up the keyboard controls for movement and rotation.\n\nWriting TypeScript code... Defining the game constants and tetromino shapes... I'm defining a rotation function that transforms a matrix clockwise by remapping each element to its new position. Now I'm setting up the complete game implementation with a game loop using `requestAnimationFrame` and delta time tracking, along with the necessary configuration files.\n\nBuilding the full Tetris game... Writing the TypeScript implementation... I'll simplify this and use a basic wall kick system that tests a few offset positions instead of the full SRS specification. Now I'm setting up the TypeScript implementation with the game constants, wall kick data, and the main TetrisGame class that manages the canvas contexts, board state, and current piece.\n\nDefining the game state properties... Writing the complete Tetris implementation... Defining the tetromino shapes... Defining wall kick offsets... Defining wall kick offset tables... Writing the game class... Setting up the game canvases and input handling...\n\nNow I'm planning out the full UI layout with a dark neon aesthetic—game board centered with score and stats on the left, next piece and hold piece previews on the right, plus I'll add visual polish like ghost pieces, line clear animations, and a pause screen.\n\nFor the game loop, I need to handle DAS (Delayed Auto Shift) by tracking key states and repeating movement after an initial delay, then update the drop counter each frame and move pieces down when the interval is reached, all while rendering the board, placed pieces, ghost piece, current piece, and any active animations.\n\nNow I'm laying out the full implementation with HTML for the UI, TypeScript for the game logic including SRS rotation and 7-bag randomization, and the necessary config files. I'll need to account for the spawn buffer above the visible play area.\n\nWriting the complete implementation... Defining the tetromino shapes...\n\nNow I'm setting up the wall kick offsets for the standard rotation system, which handles how pieces adjust their position when they rotate near walls or other obstacles. Finishing the kick rotation data for the I-piece, then setting up the scoring system with line clear multipliers and a function that calculates drop speed based on difficulty level, which gets faster as the game progresses.\n\nDefining the core piece interface with its type, shape matrix, color, and position properties including rotation state.\n\nImplementing rotation helper functions... Setting up the game state with the board, piece management including current/next/held pieces with a bag system for randomization, and tracking score, level, lines cleared, combo multiplier, and game status 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"}],"stop_reason":null,"stop_sequence":null,"stop_details":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":4728,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":4728,"ephemeral_1h_input_tokens":0},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"parent_tool_use_id":null,"session_id":"d76b698e-1c1c-4192-b58a-66bf541ee1e5","uuid":"f1c84446-c5ff-4ea3-b2a9-d97be343a54e"}