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".
  
  Returns:
      True if this DatsetSource can resolve the raw source, False otherwise.
docstr_tok: ["Args",":","raw_source",":","The","raw","source",",","e.g",".","a","string","like","``","s3",":","\/\/mybucket\/path\/to\/iris\/data","''",".","Returns",":","True","if","this","DatsetSource","can","resolve","the","raw","source",",","False","otherwise","."]
code: def _can_resolve(raw_source: Any) -> bool:
      """
      Args:
          raw_source: The raw source, e.g. a string like "s3://mybucket/path/to/iris/data".
  
      Returns:
          True if this DatsetSource can resolve the raw source, False otherwise.
      """
  
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 4 for calling the FileSystemDatasetSource obj's underlying member method code with example usage: obj._can_resolve(raw_source) without return types