code: def _check_missing_value_mask(self, missing):
      if not missing.any():
          warnings.simplefilter("always")
          warnings.warn("Input matrix is not missing any values")
      if missing.all():
          raise ValueError(
              "Input matrix must have some non-missing values"
          )
  
file_path: fancyimpute/fancyimpute/solver.py
imports: import warnings
  import numpy
  from sklearn.utils import check_array
  from .common import generate_random_column_samples
label_desc: Use image node_id 5 for calling the Solver obj's underlying member method code with example usage: obj._check_missing_value_mask(missing) without return types