class_docstr: Helper to make a numpy array hashable: can be added associative containers.
  
  Attributes:
    array: The underlying numpy array.
class_docstr_tok: ["Helper","to","make","a","numpy","array","hashable",":","can","be","added","associative","containers",".","Attributes",":","array",":","The","underlying","numpy","array","."]
code: def __init__(self, array: np.ndarray):
      self.array = array
  
file_path: jax/jax/experimental/pallas/ops/tpu/splash_attention/splash_attention_mask_info.py
imports: from __future__ import annotations
  import collections
  import functools
  from typing import Callable, Dict, List, NamedTuple, Set, Tuple
  from jax import util
  from jax.experimental.pallas.ops.tpu.splash_attention import splash_attention_mask
  import numpy
label_desc: Use image node_id 1 to create a new _HashableNDArray object  with example: obj = _HashableNDArray(array)