class_docstr: Load fastMRI files with '.h5' suffix. fastMRI files, when loaded with "h5py",
  are HDF5 dictionary-like datasets. The keys are:
  
  - kspace: contains the fully-sampled kspace
  - reconstruction_rss: contains the root sum of squares of ifft of kspace. This
      is the ground-truth image.
  
  It also has several attributes with the following keys:
  
  - acquisition (str): acquisition mode of the data (e.g., AXT2 denotes T2 brain MRI scans)
  - max (float): dynamic range of the data
  - norm (float): norm of the kspace
  - patient_id (str): the patient's id whose measurements were recorded
docstr:  Verify whether the specified file format is supported by h5py reader.
  
  Args:
       filename: file name
docstr_tok: ["Verify","whether","the","specified","file","format","is","supported","by","h5py","reader",".","Args",":","filename",":","file","name"]
code: def verify_suffix(
      self, filename: Sequence[PathLike] | PathLike
  ) -> bool:
      """
       Verify whether the specified file format is supported by h5py reader.
  
      Args:
           filename: file name
      """
      suffixes: Sequence[str] = [".h5"]
      return has_h5py and is_supported_format(filename, suffixes)
  
file_path: MONAI/monai/apps/reconstruction/fastmri_reader.py
imports: from __future__ import annotations
  import os
  from collections.abc import Sequence
  import numpy
  from numpy import ndarray
  from monai.config import PathLike
  from monai.data.image_reader import ImageReader
  from monai.data.utils import is_supported_format
  from monai.utils import FastMRIKeys, optional_import, require_pkg
label_desc: Use image node_id 1 for calling the FastMRIReader obj's underlying member method code with example usage: obj.verify_suffix(filename) and returns: unknown