Requirements Writing

L3
ModelContextProtocolFilesystemVoteNet

Generate a complete requirements.txt file containing all necessary Python dependencies for running the VoteNet codebase successfully.

Created by Lingjun Chen
2025-08-13
Code ExplorationCross Referencing

Model Ranking

Click on the dots to view the trajectory of each task run
Model
Run Results
Pass@4
Pass^4
Avg Time
Avg Turns
Input Tokens
Output Tokens
Total Tokens
OpenAI
gpt-5-high
1
/4
1097.5s
22.3
977,076
35,516
1,012,592
OpenAI
gpt-5-medium
1
/4
444.9s
24.5
880,368
21,371
901,739
MoonshotAI
kimi-k2-0905
1
/4
183.8s
19.3
203,546
1,815
205,362
Claude
claude-opus-4-1
0
/1
--
244.1s
18.0
372,125
2,990
375,115
Claude
claude-sonnet-4
0
/4
94.4s
10.5
248,238
2,056
250,293
Claude
claude-sonnet-4-high
0
/4
72.3s
12.8
241,474
2,551
244,024
Claude
claude-sonnet-4-low
0
/4
82.0s
14.5
254,732
2,674
257,406
DeepSeek
deepseek-chat
0
/4
176.8s
19.5
143,220
2,018
145,239
Gemini
gemini-2-5-flash
0
/4
18.6s
5.5
11,871
1,603
13,474
Gemini
gemini-2-5-pro
0
/4
47.7s
7.3
17,097
3,148
20,244
Z.ai
glm-4-5
0
/4
92.7s
20.8
155,397
3,328
158,724
OpenAI
gpt-4-1
0
/4
35.1s
11.8
72,701
1,672
74,372
OpenAI
gpt-4-1-mini
0
/4
39.8s
18.0
105,752
1,399
107,151
OpenAI
gpt-4-1-nano
0
/4
13.3s
6.8
17,915
343
18,258
OpenAI
gpt-5-low
0
/4
295.0s
19.0
625,679
15,469
641,148
OpenAI
gpt-5-mini-high
0
/4
157.0s
18.8
438,026
15,173
453,199
OpenAI
gpt-5-mini-low
0
/4
19.3s
5.0
9,358
1,250
10,608
OpenAI
gpt-5-mini-medium
0
/4
40.8s
11.8
105,417
3,099
108,516
OpenAI
gpt-5-nano-high
0
/4
109.5s
30.0
594,617
14,417
609,033
OpenAI
gpt-5-nano-low
0
/4
60.0s
19.8
196,591
7,638
204,229
OpenAI
gpt-5-nano-medium
0
/4
43.2s
12.3
101,930
5,551
107,480
OpenAI
gpt-oss-120b
0
/4
5.9s
3.5
7,069
218
7,287
Grok
grok-4
0
/4
138.2s
22.8
397,471
4,041
401,511
Grok
grok-code-fast-1
0
/4
44.7s
26.5
443,103
1,784
446,805
MoonshotAI
kimi-k2-0711
0
/4
110.3s
20.3
216,180
1,957
218,137
OpenAI
o3
0
/4
204.8s
47.5
649,570
10,429
659,998
OpenAI
o4-mini
0
/4
155.0s
25.5
332,791
8,032
340,823
Qwen
qwen-3-coder-plus
0
/4
36.5s
13.3
115,481
1,187
116,668
Qwen
qwen-3-max
0
/4
41.6s
15.0
152,496
770
153,266

Task State

Task Initial State Files
Download ZIP package to view the complete file structure
votenet/ ├── doc/ │ ├── teaser.jpg │ └── tips.md ├── models/ │ ├── ap_helper.py │ ├── backbone_module.py │ ├── boxnet.py │ ├── dump_helper.py │ ├── loss_helper.py │ ├── loss_helper_boxnet.py │ ├── proposal_module.py │ ├── votenet.py │ └── voting_module.py ├── pointnet2/ │ ├── _ext_src/ │ │ ├── include/ │ │ │ ├── ball_query.h │ │ │ ├── cuda_utils.h │ │ │ ├── group_points.h │ │ │ ├── interpolate.h │ │ │ ├── sampling.h │ │ │ └── utils.h │ │ └── src/ │ │ ├── ball_query.cpp │ │ ├── ball_query_gpu.cu │ │ ├── bindings.cpp │ │ ├── group_points.cpp │ │ ├── group_points_gpu.cu │ │ ├── interpolate.cpp │ │ ├── interpolate_gpu.cu │ │ ├── sampling.cpp │ │ └── sampling_gpu.cu │ ├── pointnet2_modules.py │ ├── pointnet2_test.py │ ├── pointnet2_utils.py │ ├── pytorch_utils.py │ └── setup.py ├── scannet/ │ ├── meta_data/ │ │ ├── scannet_means.npz │ │ ├── scannet_train.txt │ │ ├── scannetv2-labels.combined.tsv │ │ ├── scannetv2_test.txt │ │ ├── scannetv2_train.txt │ │ └── scannetv2_val.txt │ ├── scans/ │ ├── batch_load_scannet_data.py │ ├── data_viz.py │ ├── load_scannet_data.py │ ├── model_util_scannet.py │ ├── README.md │ ├── scannet_detection_dataset.py │ └── scannet_utils.py ├── sunrgbd/ │ ├── matlab/ │ │ ├── extract_rgbd_data_v1.m │ │ ├── extract_rgbd_data_v2.m │ │ └── extract_split.m │ ├── OFFICIAL_SUNRGBD/ │ ├── sunrgbd_trainval/ │ ├── model_util_sunrgbd.py │ ├── README.md │ ├── sunrgbd_data.py │ ├── sunrgbd_detection_dataset.py │ └── sunrgbd_utils.py ├── utils/ │ ├── box_util.py │ ├── eval_det.py │ ├── metric_util.py │ ├── nms.py │ ├── nn_distance.py │ ├── pc_util.py │ ├── tf_logger.py │ └── tf_visualizer.py ├── CODE_OF_CONDUCT.md ├── CONTRIBUTING.md ├── demo.py ├── eval.py ├── LICENSE ├── README.md └── train.py

Instruction

Please use FileSystem tools to finish the following task:

Task Description

The VoteNet project is a 3D object detection framework for point clouds. Your task is to create a requirements.txt file that lists all the necessary Python dependencies for running this codebase.

Task Objectives

  1. Create a requirements.txt file in the main directory
  2. Include all essential dependencies needed to run the VoteNet codebase
  3. Ensure the file format is correct (one dependency per line)
  4. Save the file as requirements.txt in the current working directory
  5. Not just pip install or conda install, your answer should contain every necessary dependencies in the hole process of VoteNet.

Requirements

The requirements.txt file should contain Python packages that are necessary for:

  • 3D point cloud processing
  • Deep learning frameworks
  • Computer vision libraries
  • Data visualization
  • 3D mesh processing
  • Network/graph operations

Note

  • You can examine the codebase structure and README to understand what packages are needed
  • The file should be saved as requirements.txt in the current directory
  • Each dependency should be on a separate line


Verify

*.py
Python
#!/usr/bin/env python3
"""
Verification script for VoteNet Task: Create Requirements.txt File
"""

import sys
from pathlib import Path
import os

def get_test_directory() -> Path:
    """Get the test directory from FILESYSTEM_TEST_DIR env var."""
    test_root = os.environ.get("FILESYSTEM_TEST_DIR")
    if not test_root:
        raise ValueError("FILESYSTEM_TEST_DIR environment variable is required")
    return Path(test_root)

def verify_requirements_file_exists(test_dir: Path) -> bool:
    """Verify that the requirements.txt file exists."""
    requirements_file = test_dir / "requirements.txt"
    
    if not requirements_file.exists():
        print("❌ File 'requirements.txt' not found")
        return False
    
    print("✅ Requirements.txt file found")
    return True

def verify_requirements_file_readable(test_dir: Path) -> bool:
    """Verify that the requirements.txt file is readable."""
    requirements_file = test_dir / "requirements.txt"
    
    try:
        content = requirements_file.read_text()
        if not content.strip():
            print("❌ Requirements.txt file is empty")
            return False
        
        print("✅ Requirements.txt file is readable")
        return True
        
    except Exception as e:
        print(f"❌ Error reading requirements.txt file: {e}")
        return False

def verify_required_dependencies_present(test_dir: Path) -> bool:
    """Verify that all required dependencies are present."""
    requirements_file = test_dir / "requirements.txt"
    
    try:
        content = requirements_file.read_text()
        
        # Required dependencies from answer.txt
        required_deps = [
            "matplotlib",
            "opencv", 
            "plyfile",
            "trimesh",
            "pointnet2",
            "networkx"
        ]
        
        missing_deps = []
        found_deps = []
        
        for dep in required_deps:
            if dep.lower() in content.lower():
                found_deps.append(dep)
            else:
                missing_deps.append(dep)
        
        if missing_deps:
            print(f"❌ Missing required dependencies: {missing_deps}")
            return False
        
        print(f"✅ All required dependencies found: {found_deps}")
        return True
        
    except Exception as e:
        print(f"❌ Error checking dependencies: {e}")
        return False

def verify_file_format(test_dir: Path) -> bool:
    """Verify that the requirements.txt file has proper format."""
    requirements_file = test_dir / "requirements.txt"
    
    try:
        content = requirements_file.read_text()
        lines = content.split('\n')
        
        # Check if file has content and proper line structure
        if not content.strip():
            print("❌ File is completely empty")
            return False
        
        # Check if there are multiple lines (indicating multiple dependencies)
        non_empty_lines = [line.strip() for line in lines if line.strip()]
        if len(non_empty_lines) < 3:  # Should have at least 3 dependencies
            print("❌ File seems to have too few dependencies")
            return False
        
        print("✅ File format is acceptable")
        return True
        
    except Exception as e:
        print(f"❌ Error checking file format: {e}")
        return False

def verify_no_duplicate_entries(test_dir: Path) -> bool:
    """Verify that there are no duplicate dependency entries."""
    requirements_file = test_dir / "requirements.txt"
    
    try:
        content = requirements_file.read_text()
        lines = [line.strip().lower() for line in content.split('\n') if line.strip()]
        
        # Check for duplicates
        if len(lines) != len(set(lines)):
            print("❌ File contains duplicate entries")
            return False
        
        print("✅ No duplicate entries found")
        return True
        
    except Exception as e:
        print(f"❌ Error checking for duplicates: {e}")
        return False

def main():
    """Main verification function."""
    test_dir = get_test_directory()
    print("🔍 Verifying VoteNet Task: Create Requirements.txt File...")
    
    # Define verification steps
    verification_steps = [
        ("Requirements File Exists", verify_requirements_file_exists),
        ("File is Readable", verify_requirements_file_readable),
        ("Required Dependencies Present", verify_required_dependencies_present),
        ("File Format", verify_file_format),
        ("No Duplicate Entries", verify_no_duplicate_entries),
    ]
    
    # Run all verification steps
    all_passed = True
    for step_name, verify_func in verification_steps:
        print(f"\n--- {step_name} ---")
        if not verify_func(test_dir):
            all_passed = False
    
    # Final result
    print("\n" + "="*50)
    if all_passed:
        print("✅ Requirements.txt file successfully created with all required dependencies!")
        print("🎉 Task verification: PASS")
        sys.exit(0)
    else:
        print("❌ Task verification: FAIL")
        sys.exit(1)

if __name__ == "__main__":
    main()