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pypipkg:pypi/azure-storage-file-datalake@12.21.x
tile.json

tessl/pypi-azure-storage-file-datalake

tessl install tessl/pypi-azure-storage-file-datalake@12.21.0

Microsoft Azure File DataLake Storage Client Library for Python

Agent Success

Agent success rate when using this tile

92%

Improvement

Agent success rate improvement when using this tile compared to baseline

0.99x

Baseline

Agent success rate without this tile

93%

rubric.jsonevals/scenario-4/

{
  "context": "This criteria evaluates how well the engineer uses azure-storage-file-datalake package to implement file system lifecycle operations including creation, deletion, existence checking, and property retrieval. The focus is on proper usage of FileSystemClient methods and error handling.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "FileSystemClient usage",
      "description": "Uses get_file_system_client() method from DataLakeServiceClient to obtain FileSystemClient instances for operations",
      "max_score": 20
    },
    {
      "name": "create_file_system method",
      "description": "Uses create_file_system() method with proper metadata parameter handling for creating new file systems",
      "max_score": 20
    },
    {
      "name": "delete_file_system method",
      "description": "Uses delete_file_system() method for removing file systems",
      "max_score": 15
    },
    {
      "name": "exists method",
      "description": "Uses exists() method from FileSystemClient to check file system existence",
      "max_score": 15
    },
    {
      "name": "get_file_system_properties method",
      "description": "Uses get_file_system_properties() method to retrieve file system properties and metadata",
      "max_score": 20
    },
    {
      "name": "Exception handling",
      "description": "Properly handles ResourceExistsError for create operations and ResourceNotFoundError for delete/get operations using try-except blocks",
      "max_score": 10
    }
  ]
}