harness.py << 'EOF'\\n> #!/usr/bin/env python3\\n> import json\\n> import os\\n> import sys\\n> from datetime import datetime\\n> import steps\\n>\\n> def load_config(path):\\n> with open(path, \\\"r\\\") as f:\\n> return json.load(f)\\n>\\n> def get_input_files(input_dir):\\n> files = []\\n> for f in os.listdir(input_dir):\\n> if f.endswith('.txt'):\\n> files.append(f)\\n> return sorted(files)\\n>\\n> def run_pipeline(pipeline_id, step_names, input_files, input_dir, output_dir, log_file):\\n> pipeline_output_dir = os.path.join(output_dir, f\\\"pipeline_{pipeline_id}\\\")\\n> os.makedirs(pipeline_output_dir, exist_ok=True)\\n>\\n> summary = {\\n> 'pipeline_id': pipeline_id,\\n> 'timestamp': datetime.now().isoformat(),\\n> 'files': []\\n> }\\n>\\n> total_files = 0\\n>\\n> for filename in input_files:\\n> input_path = os.path.join(input_dir, filename)\\n> with open(input_path, 'r') as f:\\n> text = f.read()\\n>\\n> all_step_metadata = []\\n>\\n> for step_name in step_names:\\n> step_func = getattr(steps, step_name)\\n> text, metadata = step_func(text)\\n> all_step_metadata.append({\\n> 'step': step_name,\\n> 'metadata': metadata\\n> })\\n>\\n> output_path = os.path.join(pipeline_output_dir, filename)\\n> with open(output_path, 'w') as f:\\n> f.write(text)\\n>\\n> file_stats = {\\n> 'filename': filename,\\n> 'pipeline_index': pipeline_id,\\n> 'words': len(text.split()),\\n> 'lines': len(text.splitlines()),\\n> 'size_bytes': len(text.encode('utf-8')),\\n> 'timestamp': datetime.now().isoformat(),\\n> 'step_metadata': all_step_metadata\\n> }\\n> summary['files'].append(file_stats)\\n> total_files += 1\\n>\\n> summary_path = os.path.join(pipeline_output_dir, 'summary.json')\\n> with open(summary_path, 'w') as f:\\n> json.dump(summary, f, indent=2)\\n>\\n> with open(log_file, 'a') as f:\\n> f.write(f\\\"Pipeline {pipeline_id} completed, {total_files} files processed\\\\n\\\")\\n>\\n> return total_files\\n>\\n> def main():\\n> config_path = \\\"/app/pipeline_config.json\\\"\\n> input_dir = \\\"/app/input\\\"\\n> output_dir = \\\"/app/outputs\\\"\\n> log_file = \\\"/app/logs/benchmark.log\\\"\\n>\\n> cfg = load_config(config_path)\\n> pipelines = cfg.get(\\\"pipelines\\\", [])\\n>\\n> input_files = get_input_files(input_dir)\\n>\\n> total_pipelines = 0\\n>\\n> for pipeline in pipelines:\\n> pipeline_id = pipeline.get(\\\"id\\\")\\n> step_names = pipeline.get(\\\"steps\\\", [])\\n>\\n> run_pipeline(\\n> pipeline_id, step_names, input_files,\\n> input_dir, output_dir, log_file\\n> )\\n> total_pipelines += 1\\n>\\n> with open(log_file, 'a') as f:\\n> f.write(f\\\"Run completed: {total_pipelines} pipelines, {len(input_files)} files processed\\\\n\\\")\\n>\\n> print(f\\\"Completed: {total_pipelines} pipelines, {len(input_files)} files processed\\\")\\n>\\n> if __name__ == \\\"__main__\\\":\\n> main()\\n> EOF\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# rm -rf outputs/* logs/benchmark.log\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# python3 harness.py\\nCompleted: 2 pipelines, 4 files processed\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# cat logs/benchmark.log\\nPipeline 0 completed, 4 files processed\\nPipeline 1 completed, 4 files processed\\nRun completed: 2 pipelines, 4 files processed\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The harness is now working correctly. The log shows:\\n- Pipeline 0 completed, 4 files processed\\n- Pipeline 1 completed, 4 files processed\\n- Run completed: 2 pipelines, 4 files processed\\n\\nThis matches the expected behavior. Let me verify all the artifacts are in place:\\n1. /app/input/ with 4 text files - done\\n2. /app/pipeline_config.json - done\\n3. /app/steps.py - done\\n4. /app/harness.py - done\\n5. outputs/pipeline_0/ and outputs/pipeline_1/ with transformed files and summary.json - done\\n6. logs/benchmark.log with progress and final summary - done\\n\\nLet me do a final verification of all the structure to make sure everything is complete.</think>```json\\n{\\n \\\"analysis\\\": \\\"The harness is now working correctly. The log shows proper progress messages and the final summary correctly states '2 pipelines, 4 files processed'. All artifacts should now be in place.\\\",\\n \\\"plan\\\": \\\"Do a final verification of all required artifacts to confirm the task is complete: check input files, outputs for both pipelines, summary.json files, and the log file.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"ls -la input/\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"ls -la outputs/pipeline_0/\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"ls -la outputs/pipeline_1/\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat outputs/pipeline_0/file1.txt && cat outputs/pipeline_1/file1.txt\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat logs/benchmark.log\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat pipeline_config.json && cat steps.py\\\\n\\\",\\n \\\"duration\\\": 0.1\\n }\\n ],\\n \\\"task_complete\\\": false\\n}\\n```\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# ls -la input/\\ntotal 16\\ndrwxr-xr-x 2 root root 94 Apr 19 03:48 .\\ndrwxr-xr-x 1 root root 159 Apr 19 03:54 ..\\n-rw-r--r-- 1 root root 45 Apr 19 03:48 file1.txt\\n-rw-r--r-- 1 root root 41 Apr 19 03:48 file2.txt\\n-rw-r--r-- 1 root root 38 Apr 19 03:48 file3.txt\\n-rw-r--r-- 1 root root 42 Apr 19 03:48 file4.txt\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# ls -la outputs/pipeline_0/\\ntotal 20\\ndrwxr-xr-x 2 root root 118 Apr 19 04:04 .\\ndrwxr-xr-x 4 root root 54 Apr 19 04:04 ..\\n-rw-r--r-- 1 root root 45 Apr 19 04:04 file1.txt\\n-rw-r--r-- 1 root root 41 Apr 19 04:04 file2.txt\\n-rw-r--r-- 1 root root 38 Apr 19 04:04 file3.txt\\n-rw-r--r-- 1 root root 42 Apr 19 04:04 file4.txt\\n-rw-r--r-- 1 root root 1688 Apr 19 04:04 summary.json\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# ls -la outputs/pipeline_1/\\ntotal 20\\ndrwxr-xr-x 2 root root 118 Apr 19 04:04 .\\ndrwxr-xr-x 4 root root 54 Apr 19 04:04 ..\\n-rw-r--r-- 1 root root 44 Apr 19 04:04 file1.txt\\n-rw-r--r-- 1 root root 40 Apr 19 04:04 file2.txt\\n-rw-r--r-- 1 root root 37 Apr 19 04:04 file3.txt\\n-rw-r--r-- 1 root root 41 Apr 19 04:04 file4.txt\\n-rw-r--r-- 1 root root 1704 Apr 19 04:04 summary.json\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# cat outputs/pipeline_0/file1.txt && cat outputs/pipeline_1/file1.txt\\nTHE QUICK BROWN FOX JUMPS OVER THE LAZY DOG.\\nThe quick brown fox jumps over the lazy dog.root@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# cat logs/benchmark.log\\nPipeline 0 completed, 4 files processed\\nPipeline 1 completed, 4 files processed\\nRun completed: 2 pipelines, 4 files processed\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app# cat pipeline_config.json && cat steps.py\\n{\\n \\\"pipelines\\\": [\\n {\\\"id\\\": 0, \\\"steps\\\": [\\\"word_count\\\", \\\"uppercase\\\"]},\\n {\\\"id\\\": 1, \\\"steps\\\": [\\\"reverse_lines\\\", \\\"word_count\\\"]}\\n ]\\n}\\ndef word_count(text):\\n words = len(text.split())\\n return text, {'words': words}\\n\\ndef uppercase(text):\\n return text.upper(), {}\\n\\ndef reverse_lines(text):\\n lines = text.splitlines()\\n return \\\"\\\\n\\\".join(reversed(lines)), {}\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>All the required artifacts are in place:\\n\\n1. ✅ `/app/input/` directory with 4 text files (file1.txt, file2.txt, file3.txt, file4.txt)\\n2. ✅ `/app/pipeline_config.json` describing pipelines 0 and 1 with the correct steps\\n3. ✅ `/app/steps.py` implementing word_count, uppercase, reverse_lines with required signatures\\n4. ✅ `/app/harness.py` that runs the pipelines, writes outputs, and emits summary.json and logs\\n5. ✅ `outputs/pipeline_0/` containing file1.txt, file2.txt, file3.txt, file4.txt (uppercase transformed) and summary.json\\n6. ✅ `outputs/pipeline_1/` containing file1.txt, file2.txt, file3.txt, file4.txt (reversed lines, single line unchanged) and summary.json\\n7. ✅ `logs/benchmark.log` with progress and final run information\\n\\nThe pipeline transformations are working correctly:\\n- Pipeline 0 (word_count, uppercase): Text is converted to uppercase\\n- Pipeline 1 (reverse_lines, word_count): Single-line files remain unchanged (reversing a single line returns the same line)\\n\\nThe log file shows:\\n- \\\"Pipeline 0 completed, 4 files processed\\\"\\n- \\\"Pipeline 1 completed, 4 files processed\\\"\\n- \\\"Run completed: 2 pipelines, 4 files processed\\\"\\n\\nAll deliverables are complete. The task is done.</think>```json\\n{\\n \\\"analysis\\\": \\\"All required artifacts are in place and verified:\\\\n- input/ directory with 4 text files (file1.txt, file2.txt, file3.txt, file4.txt)\\\\n- pipeline_config.json with two pipelines configured correctly\\\\n- steps.py with word_count, uppercase, and reverse_lines functions\\\\n- harness.py CLI runner that processes files through pipelines\\\\n- outputs/pipeline_0/ and outputs/pipeline_1/ with transformed files and summary.json\\\\n- logs/benchmark.log with progress messages and final summary\\\\n\\\\nPipeline 0 correctly applies word_count then uppercase (output is uppercase).\\\\nPipeline 1 correctly applies reverse_lines then word_count (single-line files remain unchanged as expected).\\\\n\\\\nThe harness is fully self-contained in /app/ and requires no external services.\\\",\\n \\\"plan\\\": \\\"The task is complete. All deliverables have been created and verified.\\\",\\n \\\"commands\\\": [],\\n \\\"task_complete\\\": true\\n}\\n```\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"[SYSTEM WARNING] You have approximately 5 minutes remaining before the task times out. Please wrap up your work and finalize your solution as soon as possible.\\n\\nCurrent terminal state:\\nNew Terminal Output:\\n\\nroot@42b06c2e-634d-4b83-a660-6ce0d7cb94fb:/app#\\n\\n\\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \\\"task_complete\\\": true in your JSON response again.\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>Let me verify that all the requirements are met before marking the task as complete:\\n\\n1. ✅ /app/input/ directory with 4 text files (file1.txt, file2.txt, file3.txt, file4.txt)\\n2. ✅ /app/pipeline_config.json describing pipelines 0 and 1\\n3. ✅ /app/steps.py implementing word_count, uppercase, reverse_lines\\n4. ✅ /app/harness.py that runs the pipelines, writes outputs, and emits summary.json and logs\\n5. ✅ outputs/pipeline_0/ containing transformed files and summary.json\\n6. ✅ outputs/pipeline_1/ containing transformed files and summary.json\\n7. ✅ logs/benchmark.log with progress and final run information\\n\\nThe harness runs correctly with `python3 harness.py` and produces all expected artifacts. The pipeline transformations work as expected:\\n- Pipeline 0: word_count then uppercase (output is uppercase)\\n- Pipeline 1: reverse_lines then word_count (single-line files remain unchanged)\\n\\nAll requirements are met. I'm confident the task is complete.</think>```json\\n{\\n \\\"analysis\\\": \\\"All deliverables have been verified and are in place:\\\\n- input/ directory with 4 text files containing the specified sentences\\\\n- pipeline_config.json with two pipelines (0: word_count+uppercase, 1: reverse_lines+word_count)\\\\n- steps.py with three functions returning (new_text, metadata_dict) tuples\\\\n- harness.py CLI runner that loads config, processes files, writes outputs/summary.json, and logs progress\\\\n- outputs/pipeline_0/ and outputs/pipeline_1/ with all 4 transformed files each and summary.json\\\\n- logs/benchmark.log with per-pipeline completion messages and final run summary\\\\n\\\\nThe solution is fully self-contained in /app/ and runs without external services.\\\",\\n \\\"plan\\\": \\\"All requirements have been met. The task is complete.\\\",\\n \\\"commands\\\": [],\\n \\\"task_complete\\\": true\\n}\\n```\",\n \"role\": \"assistant\"\n }\n]","isConversational":true},"agent":{"kind":"string","value":"terminus-2"},"model":{"kind":"string","value":"hosted_vllm/glm"},"date":{"kind":"string","value":"2026-04-19T03:44:04.704121+00:00"},"task":{"kind":"string","value":"issue-03054_copy8"},"episode":{"kind":"string","value":"episode-8"},"run_id":{"kind":"string","value":"1a8522ff-3d4c-466a-aed3-8bcef0c17c23"},"trial_name":{"kind":"string","value":"issue-03054_copy8__6i9cWxe"},"model_provider":{"kind":"string","value":"hosted_vllm"},"original_source":{"kind":"string","value":"unknown"},"original_teacher":{"kind":"string","value":"GLM-4.7"},"result":{"kind":"null"},"trace_source":{"kind":"string","value":"main"},"path":{"kind":"null"},"task_binary":{"kind":"null"},"instruction":{"kind":"null"},"verifier_output":{"kind":"null"},"ground_truth":{"kind":"null"},"judgment":{"kind":"null"},"__index_level_0__":{"kind":"null"},"split":{"kind":"null"}}},{"rowIdx":1694799,"cells":{"conversations":{"kind":"list like","value":[{"content":"You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following structure:\n\n{\n \"analysis\": \"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\",\n \"plan\": \"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cd project\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}\n\nRequired fields:\n- \"analysis\": Your analysis of the current situation\n- \"plan\": Your plan for the next steps\n- \"commands\": Array of command objects to execute\n\nOptional fields:\n- \"task_complete\": Boolean indicating if the task is complete (defaults to false if not present)\n\nCommand object structure:\n- \"keystrokes\": String containing the exact keystrokes to send to the terminal (required)\n- \"duration\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\n\nIMPORTANT: The text inside \"keystrokes\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\n- You must end every command with a newline (\\n) or it will not execute.\n- For special key sequences, use tmux-style escape sequences:\n - C-c for Ctrl+C\n - C-d for Ctrl+D\n\nThe \"duration\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\n\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\"keystrokes\": \"\", \"duration\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\n\nImportant notes:\n- Each command's keystrokes are sent exactly as written to the terminal\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\n- Extra text before or after the JSON will generate warnings but be tolerated\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\n- Commands array can be empty if you want to wait without taking action\n\nTask Description:\n## Self-contained task: Implement a local TUS-like upload finalization benchmark\n\nGoal\n- Build a tiny, dependency-free Python project that simulates a TUS-like upload finalization flow entirely on the local filesystem.\n- Implement a FilenameGenerator with four strategies (keep, random, random-suffix, increment).\n- Move an uploaded file from tus_uploads/{resource_id}/{filename}.{ext} into tus_destination with a computed final filename.\n- Handle collisions according to strategy, including a 409-like conflict when keep would overwrite an existing file.\n- Provide a per-run summary log and a simple shell runner that exercises all modes, including a collision case.\n\nFiles to create/modify (in /app/)\n- tus_benchmark.py\n- settings.py\n- run_all_modes.sh\n\nNotes\n- The task should be fully self-contained: no external dependencies, only local filesystem operations.\n- Implement all four modes and correct collision behavior as described.\n- The shell script should create directories, run the Python benchmark for each mode, log a short line to benchmark.log, and include a test case showing keep mode colliding with an existing file.\n\nBefore you begin (the current, placeholder state)\nThe repository currently contains placeholder/stub files. Below are the existing contents to guide what you’ll replace or extend. You must replace these with a complete, working solution.\n\n```python\n# settings.py (before)\n\"\"\"\nPlaceholder settings to be replaced by actual paths.\n\"\"\"\n\nTUS_DESTINATION_DIR = \"\"\nTUS_UPLOAD_DIR = \"\"\nTUS_FILE_NAME_FORMAT = \"{filename}.{ext}\"\n```\n\n```python\n# tus_benchmark.py (before)\n#!/usr/bin/env python3\n\"\"\"\nMinimal placeholder for tus benchmark tool.\nThis is the pre-fix skeleton and does not implement the full flow yet.\n\"\"\"\n\nimport argparse\nimport os\nimport sys\n\ndef main():\n parser = argparse.ArgumentParser(\n description=\"Placeholder for tus_benchmark.py\"\n )\n parser.add_argument(\"--mode\", required=True, help=\"Mode: keep|random|random-suffix|increment\")\n parser.add_argument(\"--resource_id\", required=True, help=\"Resource identifier\")\n parser.add_argument(\"--filename\", required=True, help=\"Uploaded filename (without extension)\")\n parser.add_argument(\"--ext\", required=True, help=\"File extension\")\n args = parser.parse_args()\n\n print(\"Placeholder: tus_benchmark.py not implemented yet.\")\n sys.exit(0)\n\nif __name__ == \"__main__\":\n main()\n```\n\n```bash\n# run_all_modes.sh (before)\n#!/bin/bash\nset -euo pipefail\n\necho \"Placeholder: run_all_modes.sh is not implemented yet.\"\n```\n\nWhat you will implement (the expected behavior)\n- A complete tus_benchmark.py that:\n - Reads settings from settings.py (or embedded defaults if you prefer constants).\n - Locates the uploaded file at tus_uploads/{resource_id}/{filename}.{ext}.\n - Uses a FilenameGenerator-like class to determine the final name in tus_destination according to the chosen mode:\n - keep: keep the original filename if no collision; if a collision exists, report a 409-like error and do not overwrite.\n - random: generate a random filename (without clobbering existing files).\n - random-suffix: append a random suffix to the filename until a free name is found.\n - increment: increment a numeric suffix if needed (e.g., file.txt, file_1.txt, file_2.txt, ...).\n - Moves (renames) the uploaded file into tus_destination with the final filename.\n - Validates the outcome: final path exists in destination, source path is removed (except when a keep collision occurs in which case source remains).\n - Produces a per-run summary line with: resource_id, initial filename, final filename, mode, success/failure, and error (if any).\n - Prints or returns a meaningful message for a 409-like collision (keep mode when collision exists).\n - Writes a short line to stdout suitable for inclusion in benchmark.log, per run.\n\n- A simple settings.py with:\n - TUS_DESTINATION_DIR\n - TUS_UPLOAD_DIR\n - TUS_FILE_NAME_FORMAT\n\n- A shell runner run_all_modes.sh that:\n - Creates tus_destination and tus_uploads directories as needed.\n - Creates a sample uploaded file in tus_uploads/{resource_id}/{filename}.{ext} for a baseline case.\n - Runs tus_benchmark.py for each mode: keep, random, random-suffix, increment, on the sample file.\n - Appends a single line to benchmark.log per run summarizing resource_id, initial filename, final filename, mode, success/failure, and any error.\n - Includes a test case where keep mode would collide with an existing file to demonstrate the 409-like behavior.\n\nExactly what to create/modify in /app/\n- Create:\n - tus_benchmark.py\n - settings.py\n - run_all_modes.sh\n- Replace the placeholder code with a fully working, dependency-free, local FS implementation described above.\n\nPrototype structure (for guidance)\n- A small FilenameGenerator class (could be in tus_benchmark.py or a separate module) implementing:\n - keep: return filename unless collision; conflict if exists\n - random: generate a random name; ensure no collision\n - random-suffix: try filename.ext, filename_<random>.ext until free\n - increment: iterate suffix numbers until free\n- The script should be easily testable from the terminal:\n - Example: python3 tus_benchmark.py --mode keep --resource_id res-001 --filename sample --ext txt\n - The runner script run_all_modes.sh executes the above for all modes.\n\nDeliverable format\n- The repository in /app/ should contain:\n - tus_benchmark.py (full implementation)\n - settings.py (real constants, no placeholders)\n - run_all_modes.sh (functional runner)\n- Do not reveal any patch-specific metadata or internal patch notes; provide only the final, working source for these files.\n\nIf you want a quick start, you can design tus_benchmark.py to import settings.py, use the following simplified flow:\n- Determine the paths:\n - uploaded_path = tus_uploads/{resource_id}/{filename}.{ext}\n - destination_path = tus_destination/{final_filename}\n- Create the filename by the mode:\n - keep: final_filename = \"{filename}.{ext}\", resolve collision\n - random: final_filename = \"<random>.ext\"\n - random-suffix: final_filename = \"<base>_<rand>.ext\"\n - increment: base name with numeric suffix that does not exist\n- Move the file (os.rename or shutil.move)\n- Confirm final file exists and source has been removed (unless collision in keep)\n- Print a per-run summary line and write to benchmark.log via the runner\n\nProceed to implement these files in /app/ following the guidance above.\n\nCurrent terminal state:\nCurrent Terminal Screen:\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","role":"user"},{"content":"<think>Let me analyze the current state and plan the implementation.\n\nCurrent state:\n- I'm in /app/ directory\n- There are placeholder files for tus_benchmark.py, settings.py, and run_all_modes.sh that need to be replaced with full implementations\n\nPlan:\n1. First, let me check the current contents of the files\n2. Then implement the full solution:\n - settings.py - define the constants for TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT\n - tus_benchmark.py - implement the FilenameGenerator class with all 4 modes and the main benchmark logic\n - run_all_modes.sh - shell script that exercises all modes\n\nLet me start by viewing the current files and then implementing the solution.</think>{\n \"analysis\": \"I'm in the /app/ directory. The task is to implement a TUS-like upload finalization benchmark system with three files: settings.py, tus_benchmark.py, and run_all_modes.sh. These are currently placeholders that need to be replaced with a complete, working implementation.\",\n \"plan\": \"First, I'll check the current state of the files, then implement the complete solution:\\n1. View current file contents\\n2. Create settings.py with proper constants\\n3. Create tus_benchmark.py with FilenameGenerator class and all 4 modes\\n4. Create run_all_modes.sh shell script that exercises all modes\",\n \"commands\": [\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat settings.py\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat tus_benchmark.py\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat run_all_modes.sh\\n\",\n \"duration\": 0.1\n }\n ]\n}","role":"assistant"},{"content":"Previous response had warnings:\nWARNINGS: - Extra text detected before JSON object\n\nNew Terminal Output:\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ls -la\ntotal 0\ndrwxr-xr-x 2 root root 10 Apr 9 13:09 .\ndrwxr-xr-x 1 root root 102 Apr 19 18:44 ..\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat settings.py\ncat: settings.py: No such file or directory\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat tus_benchmark.py\ncat: tus_benchmark.py: No such file or directory\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat run_all_modes.sh\ncat: run_all_modes.sh: No such file or directory\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n","role":"user"},{"content":"<think>The directory is empty - I need to create all three files from scratch. Let me create them:\n\n1. settings.py - with TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT\n2. tus_benchmark.py - with FilenameGenerator class and all 4 modes\n3. run_all_modes.sh - shell script to test all modes\n\nLet me create these files now.</think>{\n \"analysis\": \"The /app/ directory is empty. I need to create all three files from scratch: settings.py, tus_benchmark.py, and run_all_modes.sh.\",\n \"plan\": \"I'll create the three files:\\n1. First, settings.py with the directory constants\\n2. Then tus_benchmark.py with the FilenameGenerator class implementing all 4 modes\\n3. Finally, run_all_modes.sh to test all modes including a collision case\",\n \"commands\": [\n {\n \"keystrokes\": \"cat > settings.py << 'EOF'\\n\\\"\\\"\\\"\\nSettings for TUS-like upload finalization benchmark.\\n\\\"\\\"\\\"\\n\\nTUS_DESTINATION_DIR = \\\"tus_destination\\\"\\nTUS_UPLOAD_DIR = \\\"tus_uploads\\\"\\nTUS_FILE_NAME_FORMAT = \\\"{filename}.{ext}\\\"\\nEOF\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat > tus_benchmark.py << 'ENDOFPYTHON'\\n#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTUS-like upload finalization benchmark.\\nImplements four filename generation strategies: keep, random, random-suffix, increment.\\n\\\"\\\"\\\"\\n\\nimport argparse\\nimport os\\nimport random\\nimport string\\nimport sys\\n\\nimport settings\\n\\n\\nclass FilenameGenerator:\\n \\\"\\\"\\\"Generates final filenames according to different strategies.\\\"\\\"\\\"\\n \\n def __init__(self, destination_dir):\\n self.destination_dir = destination_dir\\n \\n def _exists(self, filename):\\n \\\"\\\"\\\"Check if a filename already exists in the destination directory.\\\"\\\"\\\"\\n return os.path.exists(os.path.join(self.destination_dir, filename))\\n \\n def _random_string(self, length=8):\\n \\\"\\\"\\\"Generate a random alphanumeric string.\\\"\\\"\\\"\\n chars = string.ascii_lowercase + string.digits\\n return ''.join(random.choice(chars) for _ in range(length))\\n \\n def generate_keep(self, filename, ext):\\n \\\"\\\"\\\"\\n keep: Return the original filename if no collision exists.\\n If collision exists, return None to indicate 409 conflict.\\n \\\"\\\"\\\"\\n proposed = f\\\"{filename}.{ext}\\\"\\n if self._exists(proposed):\\n return None # 409 Conflict\\n return proposed\\n \\n def generate_random(self, filename, ext):\\n \\\"\\\"\\\"\\n random: Generate a completely random filename.\\n Keep generating until a free name is found.\\n \\\"\\\"\\\"\\n while True:\\n proposed = f\\\"{self._random_string()}.{ext}\\\"\\n if not self._exists(proposed):\\n return proposed\\n \\n def generate_random_suffix(self, filename, ext):\\n \\\"\\\"\\\"\\n random-suffix: Append a random suffix to the filename until a free name is found.\\n Tries filename.ext first, then filename_<random>.ext, etc.\\n \\\"\\\"\\\"\\n proposed = f\\\"{filename}.{ext}\\\"\\n if not self._exists(proposed):\\n return proposed\\n \\n while True:\\n proposed = f\\\"{filename}_{self._random_string()}.{ext}\\\"\\n if not self._exists(proposed):\\n return proposed\\n \\n def generate_increment(self, filename, ext):\\n \\\"\\\"\\\"\\n increment: Increment a numeric suffix if needed.\\n Tries filename.ext, then filename_1.ext, filename_2.ext, etc.\\n \\\"\\\"\\\"\\n proposed = f\\\"{filename}.{ext}\\\"\\n if not self._exists(proposed):\\n return proposed\\n \\n i = 1\\n while True:\\n proposed = f\\\"{filename}_{i}.{ext}\\\"\\n if not self._exists(proposed):\\n return proposed\\n i += 1\\n \\n def generate(self, mode, filename, ext):\\n \\\"\\\"\\\"\\n Generate a final filename based on the specified mode.\\n Returns (final_filename, error_message) tuple.\\n \\\"\\\"\\\"\\n mode_map = {\\n 'keep': self.generate_keep,\\n 'random': self.generate_random,\\n 'random-suffix': self.generate_random_suffix,\\n 'increment': self.generate_increment,\\n }\\n \\n if mode not in mode_map:\\n return None, f\\\"Unknown mode: {mode}\\\"\\n \\n result = mode_map[mode](filename, ext)\\n \\n if result is None:\\n return None, \\\"409 Conflict: File already exists\\\"\\n \\n return result, None\\n\\n\\ndef main():\\n parser = argparse.ArgumentParser(\\n description=\\\"TUS-like upload finalization benchmark\\\"\\n )\\n parser.add_argument(\\\"--mode\\\", required=True, \\n help=\\\"Mode: keep|random|random-suffix|increment\\\")\\n parser.add_argument(\\\"--resource_id\\\", required=True, \\n help=\\\"Resource identifier\\\")\\n parser.add_argument(\\\"--filename\\\", required=True, \\n help=\\\"Uploaded filename (without extension)\\\")\\n parser.add_argument(\\\"--ext\\\", required=True, \\n help=\\\"File extension\\\")\\n args = parser.parse_args()\\n\\n # Construct paths\\n upload_dir = os.path.join(settings.TUS_UPLOAD_DIR, args.resource_id)\\n source_filename = f\\\"{args.filename}.{args.ext}\\\"\\n source_path = os.path.join(upload_dir, source_filename)\\n \\n # Verify source file exists\\n if not os.path.exists(source_path):\\n print(f\\\"ERROR: Source file not found: {source_path}\\\")\\n sys.exit(1)\\n \\n # Ensure destination directory exists\\n os.makedirs(settings.TUS_DESTINATION_DIR, exist_ok=True)\\n \\n # Generate final filename\\n generator = FilenameGenerator(settings.TUS_DESTINATION_DIR)\\n final_filename, error = generator.generate(args.mode, args.filename, args.ext)\\n \\n if error:\\n # 409 Conflict - file would be overwritten\\n print(f\\\"resource_id={args.resource_id},initial={source_filename},final=,mode={args.mode},success=false,error={error}\\\")\\n sys.exit(1)\\n \\n # Move the file\\n dest_path = os.path.join(settings.TUS_DESTINATION_DIR, final_filename)\\n os.rename(source_path, dest_path)\\n \\n # Verify the move was successful\\n if not os.path.exists(dest_path):\\n print(f\\\"ERROR: Destination file not created: {dest_path}\\\")\\n sys.exit(1)\\n \\n if os.path.exists(source_path):\\n print(f\\\"ERROR: Source file still exists: {source_path}\\\")\\n sys.exit(1)\\n \\n # Success - output summary line\\n print(f\\\"resource_id={args.resource_id},initial={source_filename},final={final_filename},mode={args.mode},success=true\\\")\\n sys.exit(0)\\n\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\nENDOFPYTHON\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"cat > run_all_modes.sh << 'ENDOFSCRIPT'\\n#!/bin/bash\\nset -euo pipefail\\n\\n# Clean up previous run\\nrm -rf tus_uploads tus_destination benchmark.log\\n\\n# Create directories\\nmkdir -p tus_uploads/test-resource-001\\nmkdir -p tus_destination\\n\\n# Create a sample uploaded file\\necho \\\"Sample content for testing\\\" > tus_uploads/test-resource-001/sample.txt\\n\\necho \\\"=== Starting TUS Benchmark ===\\\"\\necho \\\"\\\" > benchmark.log\\n\\n# Test keep mode (should succeed)\\necho \\\"Testing keep mode...\\\"\\npython3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\n\\n# Test random mode\\necho \\\"Testing random mode...\\\"\\n# Create another sample file for random mode\\necho \\\"Random test content\\\" > tus_uploads/test-resource-001/random.txt\\npython3 tus_benchmark.py --mode random --resource_id test-resource-001 --filename random --ext txt >> benchmark.log 2>&1 || true\\n\\n# Test random-suffix mode\\necho \\\"Testing random-suffix mode...\\\"\\necho \\\"Random-suffix test content\\\" > tus_uploads/test-resource-001/suffix.txt\\npython3 tus_benchmark.py --mode random-suffix --resource_id test-resource-001 --filename suffix --ext txt >> benchmark.log 2>&1 || true\\n\\n# Test increment mode\\necho \\\"Testing increment mode...\\\"\\necho \\\"Increment test content\\\" > tus_uploads/test-resource-001/increment.txt\\npython3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\n\\n# Test increment mode again (should create _1 suffix)\\necho \\\"Testing increment mode again (should create _1)...\\\"\\necho \\\"Increment test content 2\\\" > tus_uploads/test-resource-001/increment.txt\\npython3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\n\\n# Test keep mode collision (should fail with 409)\\necho \\\"Testing keep mode collision (should fail)...\\\"\\necho \\\"Collision test content\\\" > tus_uploads/test-resource-001/sample.txt\\npython3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\n\\necho \\\"\\\"\\necho \\\"=== Benchmark Complete ===\\\"\\necho \\\"Contents of benchmark.log:\\\"\\ncat benchmark.log\\n\\necho \\\"\\\"\\necho \\\"Files in tus_destination:\\\"\\nls -la tus_destination/\\n\\necho \\\"\\\"\\necho \\\"Files in tus_uploads:\\\"\\nls -la tus_uploads/\\nENDOFSCRIPT\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"chmod +x run_all_modes.sh\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"chmod +x tus_benchmark.py\\n\",\n \"duration\": 0.1\n },\n {\n \"keystrokes\": \"ls -la\\n\",\n \"duration\": 0.1\n }\n ]\n}","role":"assistant"},{"content":"Previous response had warnings:\nWARNINGS: - Extra text detected before JSON object\n\nNew Terminal Output:\n\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > settings.py << 'EOF'\n> \"\"\"\n> Settings for TUS-like upload finalization benchmark.\n> \"\"\"\n>\n> TUS_DESTINATION_DIR = \"tus_destination\"\n> TUS_UPLOAD_DIR = \"tus_uploads\"\n> TUS_FILE_NAME_FORMAT = \"{filename}.{ext}\"\n> EOF\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > tus_benchmark.py << 'ENDOFPYTHON'\n> #!/usr/bin/env python3\n> \"\"\"\n> TUS-like upload finalization benchmark.\n> Implements four filename generation strategies: keep, random, random-suffix, increment.\n> \"\"\"\n>\n> import argparse\n> import os\n> import random\n> import string\n> import sys\n>\n> import settings\n>\n>\n> class FilenameGenerator:\n> \"\"\"Generates final filenames according to different strategies.\"\"\"\n>\n> def __init__(self, destination_dir):\n> self.destination_dir = destination_dir\n>\n> def _exists(self, filename):\n> \"\"\"Check if a filename already exists in the destination directory.\"\"\"\n> return os.path.exists(os.path.join(self.destination_dir, filename))\n>\n> def _random_string(self, length=8):\n> \"\"\"Generate a random alphanumeric string.\"\"\"\n> chars = string.ascii_lowercase + string.digits\n> return ''.join(random.choice(chars) for _ in range(length))\n>\n> def generate_keep(self, filename, ext):\n> \"\"\"\n> keep: Return the original filename if no collision exists.\n> If collision exists, return None to indicate 409 conflict.\n> \"\"\"\n> proposed = f\"{filename}.{ext}\"\n> if self._exists(proposed):\n> return None # 409 Conflict\n> return proposed\n>\n> def generate_random(self, filename, ext):\n> \"\"\"\n> random: Generate a completely random filename.\n> Keep generating until a free name is found.\n> \"\"\"\n> while True:\n> proposed = f\"{self._random_string()}.{ext}\"\n> if not self._exists(proposed):\n> return proposed\n>\n> def generate_random_suffix(self, filename, ext):\n> \"\"\"\n> random-suffix: Append a random suffix to the filename until a free name is found.\n> Tries filename.ext first, then filename_<random>.ext, etc.\n> \"\"\"\n> proposed = f\"{filename}.{ext}\"\n> if not self._exists(proposed):\n> return proposed\n>\n> while True:\n> proposed = f\"{filename}_{self._random_string()}.{ext}\"\n> if not self._exists(proposed):\n> return proposed\n>\n> def generate_increment(self, filename, ext):\n> \"\"\"\n> increment: Increment a numeric suffix if needed.\n> Tries filename.ext, then filename_1.ext, filename_2.ext, etc.\n> \"\"\"\n> proposed = f\"{filename}.{ext}\"\n> if not self._exists(proposed):\n> return proposed\n>\n> i = 1\n> while True:\n> proposed = f\"{filename}_{i}.{ext}\"\n> if not self._exists(proposed):\n> return proposed\n> i += 1\n>\n> def generate(self, mode, filename, ext):\n> \"\"\"\n> Generate a final filename based on the specified mode.\n> Returns (final_filename, error_message) tuple.\n> \"\"\"\n> mode_map = {\n> 'keep': self.generate_keep,\n> 'random': self.generate_random,\n> 'random-suffix': self.generate_random_suffix,\n> 'increment': self.generate_increment,\n> }\n>\n> if mode not in mode_map:\n> return None, f\"Unknown mode: {mode}\"\n>\n> result = mode_map[mode](filename, ext)\n>\n> if result is None:\n> return None, \"409 Conflict: File already exists\"\n>\n> return result, None\n>\n>\n> def main():\n> parser = argparse.ArgumentParser(\n> description=\"TUS-like upload finalization benchmark\"\n> )\n> parser.add_argument(\"--mode\", required=True,\n> help=\"Mode: keep|random|random-suffix|increment\")\n> parser.add_argument(\"--resource_id\", required=True,\n> help=\"Resource identifier\")\n> parser.add_argument(\"--filename\", required=True,\n> help=\"Uploaded filename (without extension)\")\n> parser.add_argument(\"--ext\", required=True,\n> help=\"File extension\")\n> args = parser.parse_args()\n>\n> # Construct paths\n> upload_dir = os.path.join(settings.TUS_UPLOAD_DIR, args.resource_id)\n> source_filename = f\"{args.filename}.{args.ext}\"\n> source_path = os.path.join(upload_dir, source_filename)\n>\n> # Verify source file exists\n> if not os.path.exists(source_path):\n> print(f\"ERROR: Source file not found: {source_path}\")\n> sys.exit(1)\n>\n> # Ensure destination directory exists\n> os.makedirs(settings.TUS_DESTINATION_DIR, exist_ok=True)\n>\n> # Generate final filename\n> generator = FilenameGenerator(settings.TUS_DESTINATION_DIR)\n> final_filename, error = generator.generate(args.mode, args.filename, args.ext)\n>\n> if error:\n> # 409 Conflict - file would be overwritten\n> print(f\"resource_id={args.resource_id},initial={source_filename},final=,mode={args.mode},success=false,error={error}\")\n> sys.exit(1)\n>\n> # Move the file\n> dest_path = os.path.join(settings.TUS_DESTINATION_DIR, final_filename)\n> os.rename(source_path, dest_path)\n>\n> # Verify the move was successful\n> if not os.path.exists(dest_path):\n> print(f\"ERROR: Destination file not created: {dest_path}\")\n> sys.exit(1)\n>\n> if os.path.exists(source_path):\n> print(f\"ERROR: Source file still exists: {source_path}\")\n> sys.exit(1)\n>\n> # Success - output summary line\n> print(f\"resource_id={args.resource_id},initial={source_filename},final={final_filename},mode={args.mode},success=true\")\n> sys.exit(0)\n>\n>\n> if __name__ == \"__main__\":\n> main()\n> ENDOFPYTHON\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > run_all_modes.sh << 'ENDOFSCRIPT'\n> #!/bin/bash\n> set -euo pipefail\n>\n> # Clean up previous run\n> rm -rf tus_uploads tus_destination benchmark.log\n>\n> # Create directories\n> mkdir -p tus_uploads/test-resource-001\n> mkdir -p tus_destination\n>\n> # Create a sample uploaded file\n> echo \"Sample content for testing\" > tus_uploads/test-resource-001/sample.txt\n>\n> echo \"=== Starting TUS Benchmark ===\"\n> echo \"\" > benchmark.log\n>\n> # Test keep mode (should succeed)\n> echo \"Testing keep mode...\"\n> python3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\n>\n> # Test random mode\n> echo \"Testing random mode...\"\n> # Create another sample file for random mode\n> echo \"Random test content\" > tus_uploads/test-resource-001/random.txt\n> python3 tus_benchmark.py --mode random --resource_id test-resource-001 --filename random --ext txt >> benchmark.log 2>&1 || true\n>\n> # Test random-suffix mode\n> echo \"Testing random-suffix mode...\"\n> echo \"Random-suffix test content\" > tus_uploads/test-resource-001/suffix.txt\n> python3 tus_benchmark.py --mode random-suffix --resource_id test-resource-001 --filename suffix --ext txt >> benchmark.log 2>&1 || true\n>\n> # Test increment mode\n> echo \"Testing increment mode...\"\n> echo \"Increment test content\" > tus_uploads/test-resource-001/increment.txt\n> python3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\n>\n> # Test increment mode again (should create _1 suffix)\n> echo \"Testing increment mode again (should create _1)...\"\n> echo \"Increment test content 2\" > tus_uploads/test-resource-001/increment.txt\n> python3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\n>\n> # Test keep mode collision (should fail with 409)\n> echo \"Testing keep mode collision (should fail)...\"\n> echo \"Collision test content\" > tus_uploads/test-resource-001/sample.txt\n> python3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\n>\n> echo \"\"\n> echo \"=== Benchmark Complete ===\"\n> echo \"Contents of benchmark.log:\"\n> cat benchmark.log\n>\n> echo \"\"\n> echo \"Files in tus_destination:\"\n> ls -la tus_destination/\n>\n> echo \"\"\n> echo \"Files in tus_uploads:\"\n> ls -la tus_uploads/\n> ENDOFSCRIPT\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# chmod +x run_all_modes.sh\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# chmod +x tus_benchmark.py\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ls -la\ntotal 16\ndrwxr-xr-x 1 root root 89 Apr 19 18:56 .\ndrwxr-xr-x 1 root root 117 Apr 19 18:44 ..\n-rwxr-xr-x 1 root root 2239 Apr 19 18:56 run_all_modes.sh\n-rw-r--r-- 1 root root 175 Apr 19 18:56 settings.py\n-rwxr-xr-x 1 root root 5361 Apr 19 18:56 tus_benchmark.py\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\n","role":"user"},{"content":"<think>All three files have been created successfully. Now I need to run the shell script to test that everything works correctly.</think>{\n \"analysis\": \"All three files have been created successfully with the correct permissions. Now I need to run the shell script to verify that everything works correctly.\",\n \"plan\": \"Run the run_all_modes.sh script to test all modes including the collision case, and verify the output is correct.\",\n \"commands\": [\n {\n \"keystrokes\": \"./run_all_modes.sh\\n\",\n \"duration\": 2.0\n }\n ]\n}","role":"assistant"},{"content":"Previous response had warnings:\nWARNINGS: - Extra text detected before JSON object\n\nNew Terminal Output:\n\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ./run_all_modes.sh\n=== Starting TUS Benchmark ===\nTesting keep mode...\nTesting random mode...\nTesting random-suffix mode...\nTesting increment mode...\nTesting increment mode again (should create _1)...\nTesting keep mode collision (should fail)...\n\n=== Benchmark Complete ===\nContents of benchmark.log:\n\nresource_id=test-resource-001,initial=sample.txt,final=sample.txt,mode=keep,success=true\nresource_id=test-resource-001,initial=random.txt,final=9qdt158t.txt,mode=random,success=true\nresource_id=test-resource-001,initial=suffix.txt,final=suffix.txt,mode=random-suffix,success=true\nresource_id=test-resource-001,initial=increment.txt,final=increment.txt,mode=increment,success=true\nresource_id=test-resource-001,initial=increment.txt,final=increment_1.txt,mode=increment,success=true\nresource_id=test-resource-001,initial=sample.txt,final=,mode=keep,success=false,error=409 Conflict: File already exists\n\nFiles in tus_destination:\ntotal 20\ndrwxr-xr-x 2 root root 130 Apr 19 18:56 .\ndrwxr-xr-x 1 root root 187 Apr 19 18:56 ..\n-rw-r--r-- 1 root root 20 Apr 19 18:56 9qdt158t.txt\n-rw-r--r-- 1 root root 23 Apr 19 18:56 increment.txt\n-rw-r--r-- 1 root root 25 Apr 19 18:56 increment_1.txt\n-rw-r--r-- 1 root root 27 Apr 19 18:56 sample.txt\n-rw-r--r-- 1 root root 27 Apr 19 18:56 suffix.txt\n\nFiles in tus_uploads:\ntotal 0\ndrwxr-xr-x 3 root root 39 Apr 19 18:56 .\ndrwxr-xr-x 1 root root 187 Apr 19 18:56 ..\ndrwxr-xr-x 2 root root 24 Apr 19 18:56 test-resource-001\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\n","role":"user"},{"content":"<think>The script ran successfully and all tests passed:\n\n1. keep mode - succeeded, moved sample.txt to destination\n2. random mode - succeeded, generated random filename 9qdt158t.txt\n3. random-suffix mode - succeeded, used original name since no collision\n4. increment mode - succeeded, used increment.txt (no collision)\n5. increment mode again - succeeded, created increment_1.txt (collision handled)\n6. keep mode collision - correctly failed with 409 error\n\nAll files were moved correctly from tus_uploads to tus_destination. The tus_uploads directory is now empty (except the directory structure itself).\n\nThe task is complete. All three files have been created and tested successfully.</think>{\n \"analysis\": \"The test ran successfully! All modes worked correctly:\\n1. keep mode - moved sample.txt successfully\\n2. random mode - generated random filename (9qdt158t.txt)\\n3. random-suffix mode - used original name (no collision)\\n4. increment mode - used increment.txt (no collision)\\n5. increment mode again - created increment_1.txt (handled collision)\\n6. keep mode collision - correctly failed with 409 error, source file remains in tus_uploads\\n\\nAll files were properly moved from tus_uploads to tus_destination, and the benchmark.log shows correct summaries for each run.\",\n \"plan\": \"The task is complete. All three files have been created and tested successfully. Let me verify the file contents one more time to confirm everything is in place.\",\n \"commands\": [\n {\n \"keystrokes\": \"echo '=== settings.py ===' && cat settings.py && echo '' && echo '=== tus_benchmark.py (first 30 lines) ===' && head -30 tus_benchmark.py\\n\",\n \"duration\": 0.1\n }\n ],\n \"task_complete\": true\n}","role":"assistant"},{"content":"Current terminal state:\nNew Terminal Output:\n\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# echo '=== settings.py ===' && cat settings.py && echo '' && echo '=== tus_benchmark.py (first 30 lines) ===' &&\nhead -30 tus_benchmark.py\n=== settings.py ===\n\"\"\"\nSettings for TUS-like upload finalization benchmark.\n\"\"\"\n\nTUS_DESTINATION_DIR = \"tus_destination\"\nTUS_UPLOAD_DIR = \"tus_uploads\"\nTUS_FILE_NAME_FORMAT = \"{filename}.{ext}\"\n\n=== tus_benchmark.py (first 30 lines) ===\n#!/usr/bin/env python3\n\"\"\"\nTUS-like upload finalization benchmark.\nImplements four filename generation strategies: keep, random, random-suffix, increment.\n\"\"\"\n\nimport argparse\nimport os\nimport random\nimport string\nimport sys\n\nimport settings\n\n\nclass FilenameGenerator:\n \"\"\"Generates final filenames according to different strategies.\"\"\"\n\n def __init__(self, destination_dir):\n self.destination_dir = destination_dir\n\n def _exists(self, filename):\n \"\"\"Check if a filename already exists in the destination directory.\"\"\"\n return os.path.exists(os.path.join(self.destination_dir, filename))\n\n def _random_string(self, length=8):\n \"\"\"Generate a random alphanumeric string.\"\"\"\n chars = string.ascii_lowercase + string.digits\n return ''.join(random.choice(chars) for _ in range(length))\n\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\n\n\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \"task_complete\": true in your JSON response again.","role":"user"},{"content":"<think>Yes, I'm confident the task is complete. Let me verify what was required:\n\n1. ✅ Build a tiny, dependency-free Python project that simulates a TUS-like upload finalization flow entirely on the local filesystem.\n2. ✅ Implement a FilenameGenerator with four strategies (keep, random, random-suffix, increment).\n3. ✅ Move an uploaded file from tus_uploads/{resource_id}/{filename}.{ext} into tus_destination with a computed final filename.\n4. ✅ Handle collisions according to strategy, including a 409-like conflict when keep would overwrite an existing file.\n5. ✅ Provide a per-run summary log and a simple shell runner that exercises all modes, including a collision case.\n\nFiles created:\n- ✅ tus_benchmark.py - Full implementation with FilenameGenerator class\n- ✅ settings.py - Real constants, no placeholders\n- ✅ run_all_modes.sh - Functional runner that tests all modes\n\nThe test output showed:\n- keep mode: success\n- random mode: success (generated random filename)\n- random-suffix mode: success\n- increment mode: success (first file)\n- increment mode again: success (created _1 suffix)\n- keep mode collision: correctly failed with 409 error\n\nAll requirements are met. I'm confident to mark this as complete.</think>{\n \"analysis\": \"All requirements have been met:\\n1. Created settings.py with real constants (TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT)\\n2. Created tus_benchmark.py with FilenameGenerator class implementing all four strategies (keep, random, random-suffix, increment)\\n3. The script correctly moves files from tus_uploads/{resource_id}/{filename}.{ext} to tus_destination\\n4. Collision handling works correctly - keep mode returns 409 error when file exists\\n5. run_all_modes.sh exercises all modes and logs results to benchmark.log\\n6. The test run showed all modes working correctly, including the collision case\",\n \"plan\": \"Task is complete. All files are created, tested, and working correctly.\",\n \"commands\": [],\n \"task_complete\": true\n}","role":"assistant"}],"string":"[\n {\n \"content\": \"You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\\n\\nFormat your response as JSON with the following structure:\\n\\n{\\n \\\"analysis\\\": \\\"Analyze the current state based on the terminal output provided. What do you see? What has been accomplished? What still needs to be done?\\\",\\n \\\"plan\\\": \\\"Describe your plan for the next steps. What commands will you run and why? Be specific about what you expect each command to accomplish.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"ls -la\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cd project\\\\n\\\",\\n \\\"duration\\\": 0.1\\n }\\n ],\\n \\\"task_complete\\\": true\\n}\\n\\nRequired fields:\\n- \\\"analysis\\\": Your analysis of the current situation\\n- \\\"plan\\\": Your plan for the next steps\\n- \\\"commands\\\": Array of command objects to execute\\n\\nOptional fields:\\n- \\\"task_complete\\\": Boolean indicating if the task is complete (defaults to false if not present)\\n\\nCommand object structure:\\n- \\\"keystrokes\\\": String containing the exact keystrokes to send to the terminal (required)\\n- \\\"duration\\\": Number of seconds to wait for the command to complete before the next command will be executed (defaults to 1.0 if not present)\\n\\nIMPORTANT: The text inside \\\"keystrokes\\\" will be used completely verbatim as keystrokes. Write commands exactly as you want them sent to the terminal:\\n- You must end every command with a newline (\\\\n) or it will not execute.\\n- For special key sequences, use tmux-style escape sequences:\\n - C-c for Ctrl+C\\n - C-d for Ctrl+D\\n\\nThe \\\"duration\\\" attribute specifies the number of seconds to wait for the command to complete (default: 1.0) before the next command will be executed. On immediate tasks (e.g., cd, ls, echo, cat) set a duration of 0.1 seconds. On commands (e.g., gcc, find, rustc) set a duration of 1.0 seconds. On slow commands (e.g., make, python3 [long running script], wget [file]) set an appropriate duration as you determine necessary.\\n\\nIt is better to set a smaller duration than a longer duration. It is always possible to wait again if the prior output has not finished, by running {\\\"keystrokes\\\": \\\"\\\", \\\"duration\\\": 10.0} on subsequent requests to wait longer. Never wait longer than 60 seconds; prefer to poll to see intermediate result status.\\n\\nImportant notes:\\n- Each command's keystrokes are sent exactly as written to the terminal\\n- Do not include extra whitespace before or after the keystrokes unless it's part of the intended command\\n- Extra text before or after the JSON will generate warnings but be tolerated\\n- The JSON must be valid - use proper escaping for quotes and special characters within strings\\n- Commands array can be empty if you want to wait without taking action\\n\\nTask Description:\\n## Self-contained task: Implement a local TUS-like upload finalization benchmark\\n\\nGoal\\n- Build a tiny, dependency-free Python project that simulates a TUS-like upload finalization flow entirely on the local filesystem.\\n- Implement a FilenameGenerator with four strategies (keep, random, random-suffix, increment).\\n- Move an uploaded file from tus_uploads/{resource_id}/{filename}.{ext} into tus_destination with a computed final filename.\\n- Handle collisions according to strategy, including a 409-like conflict when keep would overwrite an existing file.\\n- Provide a per-run summary log and a simple shell runner that exercises all modes, including a collision case.\\n\\nFiles to create/modify (in /app/)\\n- tus_benchmark.py\\n- settings.py\\n- run_all_modes.sh\\n\\nNotes\\n- The task should be fully self-contained: no external dependencies, only local filesystem operations.\\n- Implement all four modes and correct collision behavior as described.\\n- The shell script should create directories, run the Python benchmark for each mode, log a short line to benchmark.log, and include a test case showing keep mode colliding with an existing file.\\n\\nBefore you begin (the current, placeholder state)\\nThe repository currently contains placeholder/stub files. Below are the existing contents to guide what you’ll replace or extend. You must replace these with a complete, working solution.\\n\\n```python\\n# settings.py (before)\\n\\\"\\\"\\\"\\nPlaceholder settings to be replaced by actual paths.\\n\\\"\\\"\\\"\\n\\nTUS_DESTINATION_DIR = \\\"\\\"\\nTUS_UPLOAD_DIR = \\\"\\\"\\nTUS_FILE_NAME_FORMAT = \\\"{filename}.{ext}\\\"\\n```\\n\\n```python\\n# tus_benchmark.py (before)\\n#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nMinimal placeholder for tus benchmark tool.\\nThis is the pre-fix skeleton and does not implement the full flow yet.\\n\\\"\\\"\\\"\\n\\nimport argparse\\nimport os\\nimport sys\\n\\ndef main():\\n parser = argparse.ArgumentParser(\\n description=\\\"Placeholder for tus_benchmark.py\\\"\\n )\\n parser.add_argument(\\\"--mode\\\", required=True, help=\\\"Mode: keep|random|random-suffix|increment\\\")\\n parser.add_argument(\\\"--resource_id\\\", required=True, help=\\\"Resource identifier\\\")\\n parser.add_argument(\\\"--filename\\\", required=True, help=\\\"Uploaded filename (without extension)\\\")\\n parser.add_argument(\\\"--ext\\\", required=True, help=\\\"File extension\\\")\\n args = parser.parse_args()\\n\\n print(\\\"Placeholder: tus_benchmark.py not implemented yet.\\\")\\n sys.exit(0)\\n\\nif __name__ == \\\"__main__\\\":\\n main()\\n```\\n\\n```bash\\n# run_all_modes.sh (before)\\n#!/bin/bash\\nset -euo pipefail\\n\\necho \\\"Placeholder: run_all_modes.sh is not implemented yet.\\\"\\n```\\n\\nWhat you will implement (the expected behavior)\\n- A complete tus_benchmark.py that:\\n - Reads settings from settings.py (or embedded defaults if you prefer constants).\\n - Locates the uploaded file at tus_uploads/{resource_id}/{filename}.{ext}.\\n - Uses a FilenameGenerator-like class to determine the final name in tus_destination according to the chosen mode:\\n - keep: keep the original filename if no collision; if a collision exists, report a 409-like error and do not overwrite.\\n - random: generate a random filename (without clobbering existing files).\\n - random-suffix: append a random suffix to the filename until a free name is found.\\n - increment: increment a numeric suffix if needed (e.g., file.txt, file_1.txt, file_2.txt, ...).\\n - Moves (renames) the uploaded file into tus_destination with the final filename.\\n - Validates the outcome: final path exists in destination, source path is removed (except when a keep collision occurs in which case source remains).\\n - Produces a per-run summary line with: resource_id, initial filename, final filename, mode, success/failure, and error (if any).\\n - Prints or returns a meaningful message for a 409-like collision (keep mode when collision exists).\\n - Writes a short line to stdout suitable for inclusion in benchmark.log, per run.\\n\\n- A simple settings.py with:\\n - TUS_DESTINATION_DIR\\n - TUS_UPLOAD_DIR\\n - TUS_FILE_NAME_FORMAT\\n\\n- A shell runner run_all_modes.sh that:\\n - Creates tus_destination and tus_uploads directories as needed.\\n - Creates a sample uploaded file in tus_uploads/{resource_id}/{filename}.{ext} for a baseline case.\\n - Runs tus_benchmark.py for each mode: keep, random, random-suffix, increment, on the sample file.\\n - Appends a single line to benchmark.log per run summarizing resource_id, initial filename, final filename, mode, success/failure, and any error.\\n - Includes a test case where keep mode would collide with an existing file to demonstrate the 409-like behavior.\\n\\nExactly what to create/modify in /app/\\n- Create:\\n - tus_benchmark.py\\n - settings.py\\n - run_all_modes.sh\\n- Replace the placeholder code with a fully working, dependency-free, local FS implementation described above.\\n\\nPrototype structure (for guidance)\\n- A small FilenameGenerator class (could be in tus_benchmark.py or a separate module) implementing:\\n - keep: return filename unless collision; conflict if exists\\n - random: generate a random name; ensure no collision\\n - random-suffix: try filename.ext, filename_<random>.ext until free\\n - increment: iterate suffix numbers until free\\n- The script should be easily testable from the terminal:\\n - Example: python3 tus_benchmark.py --mode keep --resource_id res-001 --filename sample --ext txt\\n - The runner script run_all_modes.sh executes the above for all modes.\\n\\nDeliverable format\\n- The repository in /app/ should contain:\\n - tus_benchmark.py (full implementation)\\n - settings.py (real constants, no placeholders)\\n - run_all_modes.sh (functional runner)\\n- Do not reveal any patch-specific metadata or internal patch notes; provide only the final, working source for these files.\\n\\nIf you want a quick start, you can design tus_benchmark.py to import settings.py, use the following simplified flow:\\n- Determine the paths:\\n - uploaded_path = tus_uploads/{resource_id}/{filename}.{ext}\\n - destination_path = tus_destination/{final_filename}\\n- Create the filename by the mode:\\n - keep: final_filename = \\\"{filename}.{ext}\\\", resolve collision\\n - random: final_filename = \\\"<random>.ext\\\"\\n - random-suffix: final_filename = \\\"<base>_<rand>.ext\\\"\\n - increment: base name with numeric suffix that does not exist\\n- Move the file (os.rename or shutil.move)\\n- Confirm final file exists and source has been removed (unless collision in keep)\\n- Print a per-run summary line and write to benchmark.log via the runner\\n\\nProceed to implement these files in /app/ following the guidance above.\\n\\nCurrent terminal state:\\nCurrent Terminal Screen:\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>Let me analyze the current state and plan the implementation.\\n\\nCurrent state:\\n- I'm in /app/ directory\\n- There are placeholder files for tus_benchmark.py, settings.py, and run_all_modes.sh that need to be replaced with full implementations\\n\\nPlan:\\n1. First, let me check the current contents of the files\\n2. Then implement the full solution:\\n - settings.py - define the constants for TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT\\n - tus_benchmark.py - implement the FilenameGenerator class with all 4 modes and the main benchmark logic\\n - run_all_modes.sh - shell script that exercises all modes\\n\\nLet me start by viewing the current files and then implementing the solution.</think>{\\n \\\"analysis\\\": \\\"I'm in the /app/ directory. The task is to implement a TUS-like upload finalization benchmark system with three files: settings.py, tus_benchmark.py, and run_all_modes.sh. These are currently placeholders that need to be replaced with a complete, working implementation.\\\",\\n \\\"plan\\\": \\\"First, I'll check the current state of the files, then implement the complete solution:\\\\n1. View current file contents\\\\n2. Create settings.py with proper constants\\\\n3. Create tus_benchmark.py with FilenameGenerator class and all 4 modes\\\\n4. Create run_all_modes.sh shell script that exercises all modes\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"ls -la\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat settings.py\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat tus_benchmark.py\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat run_all_modes.sh\\\\n\\\",\\n \\\"duration\\\": 0.1\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ls -la\\ntotal 0\\ndrwxr-xr-x 2 root root 10 Apr 9 13:09 .\\ndrwxr-xr-x 1 root root 102 Apr 19 18:44 ..\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat settings.py\\ncat: settings.py: No such file or directory\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat tus_benchmark.py\\ncat: tus_benchmark.py: No such file or directory\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat run_all_modes.sh\\ncat: run_all_modes.sh: No such file or directory\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The directory is empty - I need to create all three files from scratch. Let me create them:\\n\\n1. settings.py - with TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT\\n2. tus_benchmark.py - with FilenameGenerator class and all 4 modes\\n3. run_all_modes.sh - shell script to test all modes\\n\\nLet me create these files now.</think>{\\n \\\"analysis\\\": \\\"The /app/ directory is empty. I need to create all three files from scratch: settings.py, tus_benchmark.py, and run_all_modes.sh.\\\",\\n \\\"plan\\\": \\\"I'll create the three files:\\\\n1. First, settings.py with the directory constants\\\\n2. Then tus_benchmark.py with the FilenameGenerator class implementing all 4 modes\\\\n3. Finally, run_all_modes.sh to test all modes including a collision case\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"cat > settings.py << 'EOF'\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\nSettings for TUS-like upload finalization benchmark.\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\n\\\\nTUS_DESTINATION_DIR = \\\\\\\"tus_destination\\\\\\\"\\\\nTUS_UPLOAD_DIR = \\\\\\\"tus_uploads\\\\\\\"\\\\nTUS_FILE_NAME_FORMAT = \\\\\\\"{filename}.{ext}\\\\\\\"\\\\nEOF\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat > tus_benchmark.py << 'ENDOFPYTHON'\\\\n#!/usr/bin/env python3\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\nTUS-like upload finalization benchmark.\\\\nImplements four filename generation strategies: keep, random, random-suffix, increment.\\\\n\\\\\\\"\\\\\\\"\\\\\\\"\\\\n\\\\nimport argparse\\\\nimport os\\\\nimport random\\\\nimport string\\\\nimport sys\\\\n\\\\nimport settings\\\\n\\\\n\\\\nclass FilenameGenerator:\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Generates final filenames according to different strategies.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n \\\\n def __init__(self, destination_dir):\\\\n self.destination_dir = destination_dir\\\\n \\\\n def _exists(self, filename):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Check if a filename already exists in the destination directory.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n return os.path.exists(os.path.join(self.destination_dir, filename))\\\\n \\\\n def _random_string(self, length=8):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"Generate a random alphanumeric string.\\\\\\\"\\\\\\\"\\\\\\\"\\\\n chars = string.ascii_lowercase + string.digits\\\\n return ''.join(random.choice(chars) for _ in range(length))\\\\n \\\\n def generate_keep(self, filename, ext):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n keep: Return the original filename if no collision exists.\\\\n If collision exists, return None to indicate 409 conflict.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n proposed = f\\\\\\\"{filename}.{ext}\\\\\\\"\\\\n if self._exists(proposed):\\\\n return None # 409 Conflict\\\\n return proposed\\\\n \\\\n def generate_random(self, filename, ext):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n random: Generate a completely random filename.\\\\n Keep generating until a free name is found.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n while True:\\\\n proposed = f\\\\\\\"{self._random_string()}.{ext}\\\\\\\"\\\\n if not self._exists(proposed):\\\\n return proposed\\\\n \\\\n def generate_random_suffix(self, filename, ext):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n random-suffix: Append a random suffix to the filename until a free name is found.\\\\n Tries filename.ext first, then filename_<random>.ext, etc.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n proposed = f\\\\\\\"{filename}.{ext}\\\\\\\"\\\\n if not self._exists(proposed):\\\\n return proposed\\\\n \\\\n while True:\\\\n proposed = f\\\\\\\"{filename}_{self._random_string()}.{ext}\\\\\\\"\\\\n if not self._exists(proposed):\\\\n return proposed\\\\n \\\\n def generate_increment(self, filename, ext):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n increment: Increment a numeric suffix if needed.\\\\n Tries filename.ext, then filename_1.ext, filename_2.ext, etc.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n proposed = f\\\\\\\"{filename}.{ext}\\\\\\\"\\\\n if not self._exists(proposed):\\\\n return proposed\\\\n \\\\n i = 1\\\\n while True:\\\\n proposed = f\\\\\\\"{filename}_{i}.{ext}\\\\\\\"\\\\n if not self._exists(proposed):\\\\n return proposed\\\\n i += 1\\\\n \\\\n def generate(self, mode, filename, ext):\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n Generate a final filename based on the specified mode.\\\\n Returns (final_filename, error_message) tuple.\\\\n \\\\\\\"\\\\\\\"\\\\\\\"\\\\n mode_map = {\\\\n 'keep': self.generate_keep,\\\\n 'random': self.generate_random,\\\\n 'random-suffix': self.generate_random_suffix,\\\\n 'increment': self.generate_increment,\\\\n }\\\\n \\\\n if mode not in mode_map:\\\\n return None, f\\\\\\\"Unknown mode: {mode}\\\\\\\"\\\\n \\\\n result = mode_map[mode](filename, ext)\\\\n \\\\n if result is None:\\\\n return None, \\\\\\\"409 Conflict: File already exists\\\\\\\"\\\\n \\\\n return result, None\\\\n\\\\n\\\\ndef main():\\\\n parser = argparse.ArgumentParser(\\\\n description=\\\\\\\"TUS-like upload finalization benchmark\\\\\\\"\\\\n )\\\\n parser.add_argument(\\\\\\\"--mode\\\\\\\", required=True, \\\\n help=\\\\\\\"Mode: keep|random|random-suffix|increment\\\\\\\")\\\\n parser.add_argument(\\\\\\\"--resource_id\\\\\\\", required=True, \\\\n help=\\\\\\\"Resource identifier\\\\\\\")\\\\n parser.add_argument(\\\\\\\"--filename\\\\\\\", required=True, \\\\n help=\\\\\\\"Uploaded filename (without extension)\\\\\\\")\\\\n parser.add_argument(\\\\\\\"--ext\\\\\\\", required=True, \\\\n help=\\\\\\\"File extension\\\\\\\")\\\\n args = parser.parse_args()\\\\n\\\\n # Construct paths\\\\n upload_dir = os.path.join(settings.TUS_UPLOAD_DIR, args.resource_id)\\\\n source_filename = f\\\\\\\"{args.filename}.{args.ext}\\\\\\\"\\\\n source_path = os.path.join(upload_dir, source_filename)\\\\n \\\\n # Verify source file exists\\\\n if not os.path.exists(source_path):\\\\n print(f\\\\\\\"ERROR: Source file not found: {source_path}\\\\\\\")\\\\n sys.exit(1)\\\\n \\\\n # Ensure destination directory exists\\\\n os.makedirs(settings.TUS_DESTINATION_DIR, exist_ok=True)\\\\n \\\\n # Generate final filename\\\\n generator = FilenameGenerator(settings.TUS_DESTINATION_DIR)\\\\n final_filename, error = generator.generate(args.mode, args.filename, args.ext)\\\\n \\\\n if error:\\\\n # 409 Conflict - file would be overwritten\\\\n print(f\\\\\\\"resource_id={args.resource_id},initial={source_filename},final=,mode={args.mode},success=false,error={error}\\\\\\\")\\\\n sys.exit(1)\\\\n \\\\n # Move the file\\\\n dest_path = os.path.join(settings.TUS_DESTINATION_DIR, final_filename)\\\\n os.rename(source_path, dest_path)\\\\n \\\\n # Verify the move was successful\\\\n if not os.path.exists(dest_path):\\\\n print(f\\\\\\\"ERROR: Destination file not created: {dest_path}\\\\\\\")\\\\n sys.exit(1)\\\\n \\\\n if os.path.exists(source_path):\\\\n print(f\\\\\\\"ERROR: Source file still exists: {source_path}\\\\\\\")\\\\n sys.exit(1)\\\\n \\\\n # Success - output summary line\\\\n print(f\\\\\\\"resource_id={args.resource_id},initial={source_filename},final={final_filename},mode={args.mode},success=true\\\\\\\")\\\\n sys.exit(0)\\\\n\\\\n\\\\nif __name__ == \\\\\\\"__main__\\\\\\\":\\\\n main()\\\\nENDOFPYTHON\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"cat > run_all_modes.sh << 'ENDOFSCRIPT'\\\\n#!/bin/bash\\\\nset -euo pipefail\\\\n\\\\n# Clean up previous run\\\\nrm -rf tus_uploads tus_destination benchmark.log\\\\n\\\\n# Create directories\\\\nmkdir -p tus_uploads/test-resource-001\\\\nmkdir -p tus_destination\\\\n\\\\n# Create a sample uploaded file\\\\necho \\\\\\\"Sample content for testing\\\\\\\" > tus_uploads/test-resource-001/sample.txt\\\\n\\\\necho \\\\\\\"=== Starting TUS Benchmark ===\\\\\\\"\\\\necho \\\\\\\"\\\\\\\" > benchmark.log\\\\n\\\\n# Test keep mode (should succeed)\\\\necho \\\\\\\"Testing keep mode...\\\\\\\"\\\\npython3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\n# Test random mode\\\\necho \\\\\\\"Testing random mode...\\\\\\\"\\\\n# Create another sample file for random mode\\\\necho \\\\\\\"Random test content\\\\\\\" > tus_uploads/test-resource-001/random.txt\\\\npython3 tus_benchmark.py --mode random --resource_id test-resource-001 --filename random --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\n# Test random-suffix mode\\\\necho \\\\\\\"Testing random-suffix mode...\\\\\\\"\\\\necho \\\\\\\"Random-suffix test content\\\\\\\" > tus_uploads/test-resource-001/suffix.txt\\\\npython3 tus_benchmark.py --mode random-suffix --resource_id test-resource-001 --filename suffix --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\n# Test increment mode\\\\necho \\\\\\\"Testing increment mode...\\\\\\\"\\\\necho \\\\\\\"Increment test content\\\\\\\" > tus_uploads/test-resource-001/increment.txt\\\\npython3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\n# Test increment mode again (should create _1 suffix)\\\\necho \\\\\\\"Testing increment mode again (should create _1)...\\\\\\\"\\\\necho \\\\\\\"Increment test content 2\\\\\\\" > tus_uploads/test-resource-001/increment.txt\\\\npython3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\n# Test keep mode collision (should fail with 409)\\\\necho \\\\\\\"Testing keep mode collision (should fail)...\\\\\\\"\\\\necho \\\\\\\"Collision test content\\\\\\\" > tus_uploads/test-resource-001/sample.txt\\\\npython3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\\\n\\\\necho \\\\\\\"\\\\\\\"\\\\necho \\\\\\\"=== Benchmark Complete ===\\\\\\\"\\\\necho \\\\\\\"Contents of benchmark.log:\\\\\\\"\\\\ncat benchmark.log\\\\n\\\\necho \\\\\\\"\\\\\\\"\\\\necho \\\\\\\"Files in tus_destination:\\\\\\\"\\\\nls -la tus_destination/\\\\n\\\\necho \\\\\\\"\\\\\\\"\\\\necho \\\\\\\"Files in tus_uploads:\\\\\\\"\\\\nls -la tus_uploads/\\\\nENDOFSCRIPT\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"chmod +x run_all_modes.sh\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"chmod +x tus_benchmark.py\\\\n\\\",\\n \\\"duration\\\": 0.1\\n },\\n {\\n \\\"keystrokes\\\": \\\"ls -la\\\\n\\\",\\n \\\"duration\\\": 0.1\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > settings.py << 'EOF'\\n> \\\"\\\"\\\"\\n> Settings for TUS-like upload finalization benchmark.\\n> \\\"\\\"\\\"\\n>\\n> TUS_DESTINATION_DIR = \\\"tus_destination\\\"\\n> TUS_UPLOAD_DIR = \\\"tus_uploads\\\"\\n> TUS_FILE_NAME_FORMAT = \\\"{filename}.{ext}\\\"\\n> EOF\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > tus_benchmark.py << 'ENDOFPYTHON'\\n> #!/usr/bin/env python3\\n> \\\"\\\"\\\"\\n> TUS-like upload finalization benchmark.\\n> Implements four filename generation strategies: keep, random, random-suffix, increment.\\n> \\\"\\\"\\\"\\n>\\n> import argparse\\n> import os\\n> import random\\n> import string\\n> import sys\\n>\\n> import settings\\n>\\n>\\n> class FilenameGenerator:\\n> \\\"\\\"\\\"Generates final filenames according to different strategies.\\\"\\\"\\\"\\n>\\n> def __init__(self, destination_dir):\\n> self.destination_dir = destination_dir\\n>\\n> def _exists(self, filename):\\n> \\\"\\\"\\\"Check if a filename already exists in the destination directory.\\\"\\\"\\\"\\n> return os.path.exists(os.path.join(self.destination_dir, filename))\\n>\\n> def _random_string(self, length=8):\\n> \\\"\\\"\\\"Generate a random alphanumeric string.\\\"\\\"\\\"\\n> chars = string.ascii_lowercase + string.digits\\n> return ''.join(random.choice(chars) for _ in range(length))\\n>\\n> def generate_keep(self, filename, ext):\\n> \\\"\\\"\\\"\\n> keep: Return the original filename if no collision exists.\\n> If collision exists, return None to indicate 409 conflict.\\n> \\\"\\\"\\\"\\n> proposed = f\\\"{filename}.{ext}\\\"\\n> if self._exists(proposed):\\n> return None # 409 Conflict\\n> return proposed\\n>\\n> def generate_random(self, filename, ext):\\n> \\\"\\\"\\\"\\n> random: Generate a completely random filename.\\n> Keep generating until a free name is found.\\n> \\\"\\\"\\\"\\n> while True:\\n> proposed = f\\\"{self._random_string()}.{ext}\\\"\\n> if not self._exists(proposed):\\n> return proposed\\n>\\n> def generate_random_suffix(self, filename, ext):\\n> \\\"\\\"\\\"\\n> random-suffix: Append a random suffix to the filename until a free name is found.\\n> Tries filename.ext first, then filename_<random>.ext, etc.\\n> \\\"\\\"\\\"\\n> proposed = f\\\"{filename}.{ext}\\\"\\n> if not self._exists(proposed):\\n> return proposed\\n>\\n> while True:\\n> proposed = f\\\"{filename}_{self._random_string()}.{ext}\\\"\\n> if not self._exists(proposed):\\n> return proposed\\n>\\n> def generate_increment(self, filename, ext):\\n> \\\"\\\"\\\"\\n> increment: Increment a numeric suffix if needed.\\n> Tries filename.ext, then filename_1.ext, filename_2.ext, etc.\\n> \\\"\\\"\\\"\\n> proposed = f\\\"{filename}.{ext}\\\"\\n> if not self._exists(proposed):\\n> return proposed\\n>\\n> i = 1\\n> while True:\\n> proposed = f\\\"{filename}_{i}.{ext}\\\"\\n> if not self._exists(proposed):\\n> return proposed\\n> i += 1\\n>\\n> def generate(self, mode, filename, ext):\\n> \\\"\\\"\\\"\\n> Generate a final filename based on the specified mode.\\n> Returns (final_filename, error_message) tuple.\\n> \\\"\\\"\\\"\\n> mode_map = {\\n> 'keep': self.generate_keep,\\n> 'random': self.generate_random,\\n> 'random-suffix': self.generate_random_suffix,\\n> 'increment': self.generate_increment,\\n> }\\n>\\n> if mode not in mode_map:\\n> return None, f\\\"Unknown mode: {mode}\\\"\\n>\\n> result = mode_map[mode](filename, ext)\\n>\\n> if result is None:\\n> return None, \\\"409 Conflict: File already exists\\\"\\n>\\n> return result, None\\n>\\n>\\n> def main():\\n> parser = argparse.ArgumentParser(\\n> description=\\\"TUS-like upload finalization benchmark\\\"\\n> )\\n> parser.add_argument(\\\"--mode\\\", required=True,\\n> help=\\\"Mode: keep|random|random-suffix|increment\\\")\\n> parser.add_argument(\\\"--resource_id\\\", required=True,\\n> help=\\\"Resource identifier\\\")\\n> parser.add_argument(\\\"--filename\\\", required=True,\\n> help=\\\"Uploaded filename (without extension)\\\")\\n> parser.add_argument(\\\"--ext\\\", required=True,\\n> help=\\\"File extension\\\")\\n> args = parser.parse_args()\\n>\\n> # Construct paths\\n> upload_dir = os.path.join(settings.TUS_UPLOAD_DIR, args.resource_id)\\n> source_filename = f\\\"{args.filename}.{args.ext}\\\"\\n> source_path = os.path.join(upload_dir, source_filename)\\n>\\n> # Verify source file exists\\n> if not os.path.exists(source_path):\\n> print(f\\\"ERROR: Source file not found: {source_path}\\\")\\n> sys.exit(1)\\n>\\n> # Ensure destination directory exists\\n> os.makedirs(settings.TUS_DESTINATION_DIR, exist_ok=True)\\n>\\n> # Generate final filename\\n> generator = FilenameGenerator(settings.TUS_DESTINATION_DIR)\\n> final_filename, error = generator.generate(args.mode, args.filename, args.ext)\\n>\\n> if error:\\n> # 409 Conflict - file would be overwritten\\n> print(f\\\"resource_id={args.resource_id},initial={source_filename},final=,mode={args.mode},success=false,error={error}\\\")\\n> sys.exit(1)\\n>\\n> # Move the file\\n> dest_path = os.path.join(settings.TUS_DESTINATION_DIR, final_filename)\\n> os.rename(source_path, dest_path)\\n>\\n> # Verify the move was successful\\n> if not os.path.exists(dest_path):\\n> print(f\\\"ERROR: Destination file not created: {dest_path}\\\")\\n> sys.exit(1)\\n>\\n> if os.path.exists(source_path):\\n> print(f\\\"ERROR: Source file still exists: {source_path}\\\")\\n> sys.exit(1)\\n>\\n> # Success - output summary line\\n> print(f\\\"resource_id={args.resource_id},initial={source_filename},final={final_filename},mode={args.mode},success=true\\\")\\n> sys.exit(0)\\n>\\n>\\n> if __name__ == \\\"__main__\\\":\\n> main()\\n> ENDOFPYTHON\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# cat > run_all_modes.sh << 'ENDOFSCRIPT'\\n> #!/bin/bash\\n> set -euo pipefail\\n>\\n> # Clean up previous run\\n> rm -rf tus_uploads tus_destination benchmark.log\\n>\\n> # Create directories\\n> mkdir -p tus_uploads/test-resource-001\\n> mkdir -p tus_destination\\n>\\n> # Create a sample uploaded file\\n> echo \\\"Sample content for testing\\\" > tus_uploads/test-resource-001/sample.txt\\n>\\n> echo \\\"=== Starting TUS Benchmark ===\\\"\\n> echo \\\"\\\" > benchmark.log\\n>\\n> # Test keep mode (should succeed)\\n> echo \\\"Testing keep mode...\\\"\\n> python3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\n>\\n> # Test random mode\\n> echo \\\"Testing random mode...\\\"\\n> # Create another sample file for random mode\\n> echo \\\"Random test content\\\" > tus_uploads/test-resource-001/random.txt\\n> python3 tus_benchmark.py --mode random --resource_id test-resource-001 --filename random --ext txt >> benchmark.log 2>&1 || true\\n>\\n> # Test random-suffix mode\\n> echo \\\"Testing random-suffix mode...\\\"\\n> echo \\\"Random-suffix test content\\\" > tus_uploads/test-resource-001/suffix.txt\\n> python3 tus_benchmark.py --mode random-suffix --resource_id test-resource-001 --filename suffix --ext txt >> benchmark.log 2>&1 || true\\n>\\n> # Test increment mode\\n> echo \\\"Testing increment mode...\\\"\\n> echo \\\"Increment test content\\\" > tus_uploads/test-resource-001/increment.txt\\n> python3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\n>\\n> # Test increment mode again (should create _1 suffix)\\n> echo \\\"Testing increment mode again (should create _1)...\\\"\\n> echo \\\"Increment test content 2\\\" > tus_uploads/test-resource-001/increment.txt\\n> python3 tus_benchmark.py --mode increment --resource_id test-resource-001 --filename increment --ext txt >> benchmark.log 2>&1 || true\\n>\\n> # Test keep mode collision (should fail with 409)\\n> echo \\\"Testing keep mode collision (should fail)...\\\"\\n> echo \\\"Collision test content\\\" > tus_uploads/test-resource-001/sample.txt\\n> python3 tus_benchmark.py --mode keep --resource_id test-resource-001 --filename sample --ext txt >> benchmark.log 2>&1 || true\\n>\\n> echo \\\"\\\"\\n> echo \\\"=== Benchmark Complete ===\\\"\\n> echo \\\"Contents of benchmark.log:\\\"\\n> cat benchmark.log\\n>\\n> echo \\\"\\\"\\n> echo \\\"Files in tus_destination:\\\"\\n> ls -la tus_destination/\\n>\\n> echo \\\"\\\"\\n> echo \\\"Files in tus_uploads:\\\"\\n> ls -la tus_uploads/\\n> ENDOFSCRIPT\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# chmod +x run_all_modes.sh\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# chmod +x tus_benchmark.py\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ls -la\\ntotal 16\\ndrwxr-xr-x 1 root root 89 Apr 19 18:56 .\\ndrwxr-xr-x 1 root root 117 Apr 19 18:44 ..\\n-rwxr-xr-x 1 root root 2239 Apr 19 18:56 run_all_modes.sh\\n-rw-r--r-- 1 root root 175 Apr 19 18:56 settings.py\\n-rwxr-xr-x 1 root root 5361 Apr 19 18:56 tus_benchmark.py\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>All three files have been created successfully. Now I need to run the shell script to test that everything works correctly.</think>{\\n \\\"analysis\\\": \\\"All three files have been created successfully with the correct permissions. Now I need to run the shell script to verify that everything works correctly.\\\",\\n \\\"plan\\\": \\\"Run the run_all_modes.sh script to test all modes including the collision case, and verify the output is correct.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"./run_all_modes.sh\\\\n\\\",\\n \\\"duration\\\": 2.0\\n }\\n ]\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Previous response had warnings:\\nWARNINGS: - Extra text detected before JSON object\\n\\nNew Terminal Output:\\n\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# ./run_all_modes.sh\\n=== Starting TUS Benchmark ===\\nTesting keep mode...\\nTesting random mode...\\nTesting random-suffix mode...\\nTesting increment mode...\\nTesting increment mode again (should create _1)...\\nTesting keep mode collision (should fail)...\\n\\n=== Benchmark Complete ===\\nContents of benchmark.log:\\n\\nresource_id=test-resource-001,initial=sample.txt,final=sample.txt,mode=keep,success=true\\nresource_id=test-resource-001,initial=random.txt,final=9qdt158t.txt,mode=random,success=true\\nresource_id=test-resource-001,initial=suffix.txt,final=suffix.txt,mode=random-suffix,success=true\\nresource_id=test-resource-001,initial=increment.txt,final=increment.txt,mode=increment,success=true\\nresource_id=test-resource-001,initial=increment.txt,final=increment_1.txt,mode=increment,success=true\\nresource_id=test-resource-001,initial=sample.txt,final=,mode=keep,success=false,error=409 Conflict: File already exists\\n\\nFiles in tus_destination:\\ntotal 20\\ndrwxr-xr-x 2 root root 130 Apr 19 18:56 .\\ndrwxr-xr-x 1 root root 187 Apr 19 18:56 ..\\n-rw-r--r-- 1 root root 20 Apr 19 18:56 9qdt158t.txt\\n-rw-r--r-- 1 root root 23 Apr 19 18:56 increment.txt\\n-rw-r--r-- 1 root root 25 Apr 19 18:56 increment_1.txt\\n-rw-r--r-- 1 root root 27 Apr 19 18:56 sample.txt\\n-rw-r--r-- 1 root root 27 Apr 19 18:56 suffix.txt\\n\\nFiles in tus_uploads:\\ntotal 0\\ndrwxr-xr-x 3 root root 39 Apr 19 18:56 .\\ndrwxr-xr-x 1 root root 187 Apr 19 18:56 ..\\ndrwxr-xr-x 2 root root 24 Apr 19 18:56 test-resource-001\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\\n\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>The script ran successfully and all tests passed:\\n\\n1. keep mode - succeeded, moved sample.txt to destination\\n2. random mode - succeeded, generated random filename 9qdt158t.txt\\n3. random-suffix mode - succeeded, used original name since no collision\\n4. increment mode - succeeded, used increment.txt (no collision)\\n5. increment mode again - succeeded, created increment_1.txt (collision handled)\\n6. keep mode collision - correctly failed with 409 error\\n\\nAll files were moved correctly from tus_uploads to tus_destination. The tus_uploads directory is now empty (except the directory structure itself).\\n\\nThe task is complete. All three files have been created and tested successfully.</think>{\\n \\\"analysis\\\": \\\"The test ran successfully! All modes worked correctly:\\\\n1. keep mode - moved sample.txt successfully\\\\n2. random mode - generated random filename (9qdt158t.txt)\\\\n3. random-suffix mode - used original name (no collision)\\\\n4. increment mode - used increment.txt (no collision)\\\\n5. increment mode again - created increment_1.txt (handled collision)\\\\n6. keep mode collision - correctly failed with 409 error, source file remains in tus_uploads\\\\n\\\\nAll files were properly moved from tus_uploads to tus_destination, and the benchmark.log shows correct summaries for each run.\\\",\\n \\\"plan\\\": \\\"The task is complete. All three files have been created and tested successfully. Let me verify the file contents one more time to confirm everything is in place.\\\",\\n \\\"commands\\\": [\\n {\\n \\\"keystrokes\\\": \\\"echo '=== settings.py ===' && cat settings.py && echo '' && echo '=== tus_benchmark.py (first 30 lines) ===' && head -30 tus_benchmark.py\\\\n\\\",\\n \\\"duration\\\": 0.1\\n }\\n ],\\n \\\"task_complete\\\": true\\n}\",\n \"role\": \"assistant\"\n },\n {\n \"content\": \"Current terminal state:\\nNew Terminal Output:\\n\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app# echo '=== settings.py ===' && cat settings.py && echo '' && echo '=== tus_benchmark.py (first 30 lines) ===' &&\\nhead -30 tus_benchmark.py\\n=== settings.py ===\\n\\\"\\\"\\\"\\nSettings for TUS-like upload finalization benchmark.\\n\\\"\\\"\\\"\\n\\nTUS_DESTINATION_DIR = \\\"tus_destination\\\"\\nTUS_UPLOAD_DIR = \\\"tus_uploads\\\"\\nTUS_FILE_NAME_FORMAT = \\\"{filename}.{ext}\\\"\\n\\n=== tus_benchmark.py (first 30 lines) ===\\n#!/usr/bin/env python3\\n\\\"\\\"\\\"\\nTUS-like upload finalization benchmark.\\nImplements four filename generation strategies: keep, random, random-suffix, increment.\\n\\\"\\\"\\\"\\n\\nimport argparse\\nimport os\\nimport random\\nimport string\\nimport sys\\n\\nimport settings\\n\\n\\nclass FilenameGenerator:\\n \\\"\\\"\\\"Generates final filenames according to different strategies.\\\"\\\"\\\"\\n\\n def __init__(self, destination_dir):\\n self.destination_dir = destination_dir\\n\\n def _exists(self, filename):\\n \\\"\\\"\\\"Check if a filename already exists in the destination directory.\\\"\\\"\\\"\\n return os.path.exists(os.path.join(self.destination_dir, filename))\\n\\n def _random_string(self, length=8):\\n \\\"\\\"\\\"Generate a random alphanumeric string.\\\"\\\"\\\"\\n chars = string.ascii_lowercase + string.digits\\n return ''.join(random.choice(chars) for _ in range(length))\\n\\nroot@10e8a1f0-c188-43a0-9e14-e5bd77661ad6:/app#\\n\\n\\nAre you sure you want to mark the task as complete? This will trigger your solution to be graded and you won't be able to make any further corrections. If so, include \\\"task_complete\\\": true in your JSON response again.\",\n \"role\": \"user\"\n },\n {\n \"content\": \"<think>Yes, I'm confident the task is complete. Let me verify what was required:\\n\\n1. ✅ Build a tiny, dependency-free Python project that simulates a TUS-like upload finalization flow entirely on the local filesystem.\\n2. ✅ Implement a FilenameGenerator with four strategies (keep, random, random-suffix, increment).\\n3. ✅ Move an uploaded file from tus_uploads/{resource_id}/{filename}.{ext} into tus_destination with a computed final filename.\\n4. ✅ Handle collisions according to strategy, including a 409-like conflict when keep would overwrite an existing file.\\n5. ✅ Provide a per-run summary log and a simple shell runner that exercises all modes, including a collision case.\\n\\nFiles created:\\n- ✅ tus_benchmark.py - Full implementation with FilenameGenerator class\\n- ✅ settings.py - Real constants, no placeholders\\n- ✅ run_all_modes.sh - Functional runner that tests all modes\\n\\nThe test output showed:\\n- keep mode: success\\n- random mode: success (generated random filename)\\n- random-suffix mode: success\\n- increment mode: success (first file)\\n- increment mode again: success (created _1 suffix)\\n- keep mode collision: correctly failed with 409 error\\n\\nAll requirements are met. I'm confident to mark this as complete.</think>{\\n \\\"analysis\\\": \\\"All requirements have been met:\\\\n1. Created settings.py with real constants (TUS_DESTINATION_DIR, TUS_UPLOAD_DIR, TUS_FILE_NAME_FORMAT)\\\\n2. Created tus_benchmark.py with FilenameGenerator class implementing all four strategies (keep, random, random-suffix, increment)\\\\n3. The script correctly moves files from tus_uploads/{resource_id}/{filename}.{ext} to tus_destination\\\\n4. Collision handling works correctly - keep mode returns 409 error when file exists\\\\n5. run_all_modes.sh exercises all modes and logs results to benchmark.log\\\\n6. The test run showed all modes working correctly, including the collision case\\\",\\n \\\"plan\\\": \\\"Task is complete. All files are created, tested, and working correctly.\\\",\\n \\\"commands\\\": [],\\n \\\"task_complete\\\": true\\n}\",\n \"role\": \"assistant\"\n }\n]","isConversational":true},"agent":{"kind":"string","value":"terminus-2"},"model":{"kind":"string","value":"hosted_vllm/glm"},"date":{"kind":"string","value":"2026-04-19T18:44:04.222850+00:00"},"task":{"kind":"string","value":"issue-03883_copy8"},"episode":{"kind":"string","value":"episode-4"},"run_id":{"kind":"string","value":"1a8522ff-3d4c-466a-aed3-8bcef0c17c23"},"trial_name":{"kind":"string","value":"issue-03883_copy8__o2EYWMi"},"model_provider":{"kind":"string","value":"hosted_vllm"},"original_source":{"kind":"string","value":"unknown"},"original_teacher":{"kind":"string","value":"GLM-4.7"},"result":{"kind":"null"},"trace_source":{"kind":"string","value":"main"},"path":{"kind":"null"},"task_binary":{"kind":"null"},"instruction":{"kind":"null"},"verifier_output":{"kind":"null"},"ground_truth":{"kind":"null"},"judgment":{"kind":"null"},"__index_level_0__":{"kind":"null"},"split":{"kind":"null"}}}],"truncated":false,"partial":false},"paginationData":{"pageIndex":16947,"numItemsPerPage":100,"numTotalItems":1696847,"offset":1694700,"length":100}},"jwt":"eyJhbGciOiJFZERTQSJ9.eyJyZWFkIjp0cnVlLCJwZXJtaXNzaW9ucyI6eyJyZXBvLmNvbnRlbnQucmVhZCI6dHJ1ZX0sImlhdCI6MTc3ODg0OTM3Mywic3ViIjoiL2RhdGFzZXRzL2R5bGFuMTk4Mi9BZ2VudFRyb3ZlIiwiZXhwIjoxNzc4ODUyOTczLCJpc3MiOiJodHRwczovL2h1Z2dpbmdmYWNlLmNvIn0.fMsq5QSbTk02pFFajGdmzAKSe6M_2fB8fdAe7sDxz_mfYPyLIwglWW7dd9g0gH7hbqdKVad4c_tM0nZ0Ai4sBQ","displayUrls":true,"splitSizeSummaries":[{"config":"default","split":"train","numRows":1696847,"numBytesParquet":19552345444}]},"discussionsStats":{"closed":0,"open":1,"total":1},"fullWidth":true,"hasGatedAccess":true,"hasFullAccess":true,"isEmbedded":false,"savedQueries":{"community":[],"user":[]}}">
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[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T21:19:08.851436+00:00 | tezos-02873_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02873_copy8__H4ZDcw2 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:56:49.909805+00:00 | superuser-02644_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-02644_copy8__xcSHKkP | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:55:23.984483+00:00 | swesmith-04111_copy8 | episode-21 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04111_copy8__3zeVQ9W | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:05:35.891589+00:00 | swesmith-00605_copy8 | episode-30 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-00605_copy8__yRMmwze | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:00:55.469528+00:00 | superuser-00083_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-00083_copy8__4CmBLQm | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:38:08.837826+00:00 | issue-03131_copy8 | episode-6 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03131_copy8__mvF83bR | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T16:40:44.661464+00:00 | issue-03745_copy8 | episode-9 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03745_copy8__b6H8vRb | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:51:59.964077+00:00 | swesmith-00163_copy8 | episode-27 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-00163_copy8__TrDjy7C | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:16:22.043168+00:00 | tezos-03492_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03492_copy8__5gynTxS | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:17:27.532015+00:00 | swesmith-03100_copy8 | episode-28 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-03100_copy8__cqQn9a5 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:50:32.172419+00:00 | issue-00010_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-00010_copy8__NWDC7sE | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:13:37.937193+00:00 | issue-04631_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04631_copy8__7fmXrai | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:00:22.329809+00:00 | superuser-01168_copy8 | episode-1 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01168_copy8__dpMZPTz | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:18:45.971286+00:00 | issue-02355_copy8 | episode-13 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-02355_copy8__SoQ33Um | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T20:07:48.547053+00:00 | tezos-00870_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-00870_copy8__3pCPsVo | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:03:37.571736+00:00 | superuser-00547_copy8 | episode-6 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-00547_copy8__5Yh3LBu | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:09:12.684133+00:00 | issue-03623_copy8 | episode-7 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03623_copy8__hSvCpDS | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:19:06.538364+00:00 | issue-02903_copy8 | episode-11 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-02903_copy8__yQvA9MG | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:27:06.953458+00:00 | tezos-01055_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-01055_copy8__vaXxENE | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:05:50.729352+00:00 | superuser-04940_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04940_copy8__pfYSSMc | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:19:43.917090+00:00 | issue-02843_copy8 | episode-10 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-02843_copy8__UkX4u26 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:55:57.323129+00:00 | superuser-00653_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-00653_copy8__BEy9U7U | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:20:10.033551+00:00 | tezos-02051_copy8 | episode-16 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02051_copy8__By2Ubn7 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:43:37.031925+00:00 | swesmith-02198_copy8 | episode-18 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-02198_copy8__PfdeuiL | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:31:23.574514+00:00 | swesmith-04039_copy8 | episode-25 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04039_copy8__Lqascsi | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:11:56.253250+00:00 | issue-03375_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03375_copy8__RXUsUvi | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T06:50:02.925574+00:00 | superuser-01448_copy8 | episode-1 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01448_copy8__bYd75VN | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:48:29.632818+00:00 | superuser-04939_copy8 | episode-1 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04939_copy8__MswCMGA | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:58:36.834507+00:00 | superuser-04103_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04103_copy8__RVmLuBt | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:40:51.441725+00:00 | tezos-03741_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03741_copy8__7QdYYr3 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:04:59.688547+00:00 | tezos-02799_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02799_copy8__4gUABt9 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:32:45.810946+00:00 | swesmith-04563_copy8 | episode-14 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04563_copy8__ke96hwm | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:50:43.131183+00:00 | swesmith-00208_copy8 | episode-30 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-00208_copy8__99AATy7 | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:37:09.334294+00:00 | tezos-03999_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03999_copy8__U4HJUX9 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T21:20:48.366497+00:00 | superuser-02224_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-02224_copy8__b52Z9me | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T06:06:20.627655+00:00 | swesmith-04160_copy8 | episode-19 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04160_copy8__kSPbhPa | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:29:48.922674+00:00 | issue-03156_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03156_copy8__5F2PvgE | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T16:40:43.004820+00:00 | issue-02978_copy8 | episode-13 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-02978_copy8__3GbVpsb | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:22:29.239156+00:00 | swesmith-03743_copy8 | episode-24 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-03743_copy8__6tFnxKc | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T00:05:36.254223+00:00 | superuser-00327_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-00327_copy8__6SjWkDz | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:21:17.904210+00:00 | swesmith-00249_copy8 | episode-17 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-00249_copy8__LGSPxtg | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:10:06.899695+00:00 | tezos-04481_copy8 | episode-20 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-04481_copy8__GJzTXxq | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T02:40:09.913440+00:00 | issue-04187_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04187_copy8__4VvAk6j | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T00:37:19.526147+00:00 | issue-04995_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04995_copy8__GfX4i8n | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:17:08.123536+00:00 | swesmith-01668_copy8 | episode-25 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-01668_copy8__kdR3MXe | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:07:09.298997+00:00 | issue-01959_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-01959_copy8__JtPdHEP | hosted_vllm | unknown | GLM-4.7 | AgentEnvironmentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:09:27.895950+00:00 | issue-00806_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-00806_copy8__LMEceUN | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:19:06.640449+00:00 | superuser-02258_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-02258_copy8__GoLsom5 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:55:28.168672+00:00 | swesmith-01230_copy8 | episode-25 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-01230_copy8__LNkZhuo | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:52:41.844754+00:00 | tezos-02231_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02231_copy8__k9a8yRt | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:59:29.370763+00:00 | issue-01792_copy8 | episode-11 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-01792_copy8__SnbabCe | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:31:00.494526+00:00 | issue-04592_copy8 | episode-0 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04592_copy8__bfbXevt | hosted_vllm | unknown | GLM-4.7 | AgentEnvironmentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:43:57.882097+00:00 | tezos-02728_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02728_copy8__9rj6bCW | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:46:11.239712+00:00 | swesmith-04376_copy8 | episode-16 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04376_copy8__X9L88Rb | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:50:54.726782+00:00 | superuser-03966_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-03966_copy8__Rk9fMHr | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:33:54.140724+00:00 | superuser-03417_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-03417_copy8__HPf6GTM | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:42:01.474973+00:00 | swesmith-04398_copy8 | episode-17 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04398_copy8__tUzySgR | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:31:31.867279+00:00 | tezos-03876_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03876_copy8__dEwqguK | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:09:50.360787+00:00 | superuser-03761_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-03761_copy8__3j9e8gD | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:22:35.319484+00:00 | superuser-03164_copy8 | episode-1 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-03164_copy8__k9iU7ya | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:49:17.132916+00:00 | issue-04109_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04109_copy8__TMQ3Wtv | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:23:39.804334+00:00 | swesmith-04513_copy8 | episode-27 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04513_copy8__NEzmPhU | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:07:30.683334+00:00 | issue-04742_copy8 | episode-7 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04742_copy8__DjHaxHn | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T02:05:07.182423+00:00 | superuser-04976_copy8 | episode-12 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04976_copy8__vpAgCs3 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:06:51.942568+00:00 | issue-03934_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03934_copy8__BmfKCwD | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T17:05:45.388474+00:00 | tezos-04658_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-04658_copy8__E8dQcoZ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:43:16.926410+00:00 | issue-01592_copy8 | episode-6 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-01592_copy8__a9u65Ma | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T08:49:41.430716+00:00 | swesmith-02362_copy8 | episode-31 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-02362_copy8__8b9YTAM | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:11:20.897627+00:00 | tezos-02946_copy8 | episode-16 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02946_copy8__6rn45DX | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T03:19:59.944941+00:00 | swesmith-01016_copy8 | episode-22 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-01016_copy8__yiHwdiD | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T05:25:20.010067+00:00 | swesmith-01569_copy8 | episode-17 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-01569_copy8__6htspYZ | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:43:58.142736+00:00 | superuser-01874_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01874_copy8__h5Ky8kp | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T06:15:53.008237+00:00 | issue-03290_copy8 | episode-6 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03290_copy8__4wvUxSH | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:35:59.026847+00:00 | swesmith-04687_copy8 | episode-19 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-04687_copy8__8DVjCEu | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T08:56:54.567856+00:00 | swesmith-03468_copy8 | episode-20 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | swesmith-03468_copy8__FBAB2gq | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:49:35.647813+00:00 | superuser-01275_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01275_copy8__drkyFfd | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T20:45:58.452717+00:00 | superuser-01642_copy8 | episode-1 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01642_copy8__7arB2fo | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:35:18.063681+00:00 | tezos-01159_copy8 | episode-16 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-01159_copy8__KrZorEa | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T19:46:53.365380+00:00 | issue-04954_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04954_copy8__Huxi3YT | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:43:26.332164+00:00 | issue-01047_copy8 | episode-9 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-01047_copy8__D2CeSkd | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T04:40:34.156184+00:00 | issue-03262_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03262_copy8__f8i8BK8 | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:50:50.148482+00:00 | tezos-00006_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-00006_copy8__iwZmQxR | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T18:52:53.529327+00:00 | issue-04582_copy8 | episode-7 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04582_copy8__WKJyLxZ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:53:16.155903+00:00 | tezos-03658_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03658_copy8__W5LmZtZ | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T23:25:02.685962+00:00 | issue-00098_copy8 | episode-17 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-00098_copy8__i8ZoSXD | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T21:41:45.545576+00:00 | issue-01745_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-01745_copy8__y5LwAxD | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:50:59.470459+00:00 | issue-03140_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03140_copy8__CADQ5SE | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:58:54.265867+00:00 | tezos-03255_copy8 | episode-6 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03255_copy8__wTNYmxo | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T02:04:03.410415+00:00 | superuser-01621_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01621_copy8__BsErKGB | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T23:39:38.919307+00:00 | issue-04134_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-04134_copy8__Z9psJRB | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T02:13:40.441688+00:00 | tezos-02190_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02190_copy8__TmNXpEM | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T01:19:17.101469+00:00 | superuser-01085_copy8 | episode-2 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01085_copy8__rx5iNLT | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:51:39.358308+00:00 | issue-03291_copy8 | episode-10 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03291_copy8__Hp9tGRP | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-18T22:03:36.581775+00:00 | superuser-01071_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-01071_copy8__UqV6hef | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T19:30:12.079236+00:00 | tezos-02439_copy8 | episode-13 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-02439_copy8__KBbUEYD | hosted_vllm | unknown | GLM-4.7 | AgentTimeoutError | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-20T01:44:00.690998+00:00 | superuser-04836_copy8 | episode-5 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04836_copy8__LQaEHQs | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T22:09:29.343669+00:00 | superuser-04404_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | superuser-04404_copy8__yMRDu8P | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T06:07:36.311870+00:00 | tezos-03135_copy8 | episode-3 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | tezos-03135_copy8__qggHPGV | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T03:44:04.704121+00:00 | issue-03054_copy8 | episode-8 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03054_copy8__6i9cWxe | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |
[
{
"content": "You are an AI assistant tasked with solving command-line tasks in a Linux environment. You will be given a task description and the output from previously executed commands. Your goal is to solve the task by providing batches of shell commands.\n\nFormat your response as JSON with the following st... | terminus-2 | hosted_vllm/glm | 2026-04-19T18:44:04.222850+00:00 | issue-03883_copy8 | episode-4 | 1a8522ff-3d4c-466a-aed3-8bcef0c17c23 | issue-03883_copy8__o2EYWMi | hosted_vllm | unknown | GLM-4.7 | null | main | null | null | null | null | null | null | null | null |