class_docstr: Represents the source of a dataset stored on a filesystem, e.g. a local UNIX filesystem,
  blob storage services like S3, etc.
class_docstr_tok: ["Represents","the","source","of","a","dataset","stored","on","a","filesystem",",","e.g",".","a","local","UNIX","filesystem",",","blob","storage","services","like","S3",",","etc","."]
docstr: Args:
      raw_source: The raw source, e.g. a string like "s3://mybucket/path/to/iris/data".
docstr_tok: ["Args",":","raw_source",":","The","raw","source",",","e.g",".","a","string","like","``","s3",":","\/\/mybucket\/path\/to\/iris\/data","''","."]
code: def _resolve(cls, raw_source: Any) -> "FileSystemDatasetSource":
      """
      Args:
          raw_source: The raw source, e.g. a string like "s3://mybucket/path/to/iris/data".
      """
  
file_path: mlflow/mlflow/data/filesystem_dataset_source.py
imports: from abc import abstractmethod
  from typing import Any, Dict
  from mlflow.data.dataset_source import DatasetSource
  from mlflow.utils.annotations import experimental
label_desc: Use image node_id 5 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj._resolve(cls, raw_source) without return types