"""Objects for datasets serialized in HDF5 format (.h5)."""
import h5py
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix


class HDF5Dataset(DenseDesignMatrix):
    """Dense dataset loaded from an HDF5 file."""
    def __init__(self, filename, X=None, topo_view=None, y=None, **kwargs):
        """
        Loads data and labels from HDF5 file.

        Parameters
        ----------
        filename: str
            HDF5 file name.
        X: str
            Key into HDF5 file for dataset design matrix.
        topo_view: str
            Key into HDF5 file for topological view of dataset.
        y: str
            Key into HDF5 file for dataset targets.
        kwargs: dict
            Keyword arguments passed to `DenseDesignMatrix`.
        """
        with h5py.File(filename) as f:
            if X is not None:
                X = f[X][:]
            if topo_view is not None:
                topo_view = f[topo_view][:]
            if y is not None:
                y = f[y][:]

        super(HDF5Dataset, self).__init__(X=X, topo_view=topo_view, y=y,
                                          **kwargs)

"""Objects for datasets serialized in HDF5 format (.h5)."""
import warnings
try:
    import h5py
except ImportError:
    warnings.warn("Could not import h5py")
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix


class HDF5Dataset(DenseDesignMatrix):
    """Dense dataset loaded from an HDF5 file."""
    def __init__(self, filename, X=None, topo_view=None, y=None, **kwargs):
        """
        Loads data and labels from HDF5 file.

        Parameters
        ----------
        filename: str
            HDF5 file name.
        X: str
            Key into HDF5 file for dataset design matrix.
        topo_view: str
            Key into HDF5 file for topological view of dataset.
        y: str
            Key into HDF5 file for dataset targets.
        kwargs: dict
            Keyword arguments passed to `DenseDesignMatrix`.
        """
        with h5py.File(filename) as f:
            if X is not None:
                X = f[X][:]
            if topo_view is not None:
                topo_view = f[topo_view][:]
            if y is not None:
                y = f[y][:]

        super(HDF5Dataset, self).__init__(X=X, topo_view=topo_view, y=y,
                                          **kwargs)

Fix import issue in h5py.py
Fix import issue in h5py.py

  """Objects for datasets serialized in HDF5 format (.h5)."""
+ import warnings
+ try:
- import h5py
+     import h5py
+ except ImportError:
+     warnings.warn("Could not import h5py")
  from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix
  
  
  class HDF5Dataset(DenseDesignMatrix):
      """Dense dataset loaded from an HDF5 file."""
      def __init__(self, filename, X=None, topo_view=None, y=None, **kwargs):
          """
          Loads data and labels from HDF5 file.
  
          Parameters
          ----------
          filename: str
              HDF5 file name.
          X: str
              Key into HDF5 file for dataset design matrix.
          topo_view: str
              Key into HDF5 file for topological view of dataset.
          y: str
              Key into HDF5 file for dataset targets.
          kwargs: dict
              Keyword arguments passed to `DenseDesignMatrix`.
          """
          with h5py.File(filename) as f:
              if X is not None:
                  X = f[X][:]
              if topo_view is not None:
                  topo_view = f[topo_view][:]
              if y is not None:
                  y = f[y][:]
  
          super(HDF5Dataset, self).__init__(X=X, topo_view=topo_view, y=y,
                                            **kwargs)
  
Fix import issue in h5py.py
## Code Before:
"""Objects for datasets serialized in HDF5 format (.h5)."""
import h5py
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix


class HDF5Dataset(DenseDesignMatrix):
    """Dense dataset loaded from an HDF5 file."""
    def __init__(self, filename, X=None, topo_view=None, y=None, **kwargs):
        """
        Loads data and labels from HDF5 file.

        Parameters
        ----------
        filename: str
            HDF5 file name.
        X: str
            Key into HDF5 file for dataset design matrix.
        topo_view: str
            Key into HDF5 file for topological view of dataset.
        y: str
            Key into HDF5 file for dataset targets.
        kwargs: dict
            Keyword arguments passed to `DenseDesignMatrix`.
        """
        with h5py.File(filename) as f:
            if X is not None:
                X = f[X][:]
            if topo_view is not None:
                topo_view = f[topo_view][:]
            if y is not None:
                y = f[y][:]

        super(HDF5Dataset, self).__init__(X=X, topo_view=topo_view, y=y,
                                          **kwargs)

## Instruction:
Fix import issue in h5py.py
## Code After:
"""Objects for datasets serialized in HDF5 format (.h5)."""
import warnings
try:
    import h5py
except ImportError:
    warnings.warn("Could not import h5py")
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix


class HDF5Dataset(DenseDesignMatrix):
    """Dense dataset loaded from an HDF5 file."""
    def __init__(self, filename, X=None, topo_view=None, y=None, **kwargs):
        """
        Loads data and labels from HDF5 file.

        Parameters
        ----------
        filename: str
            HDF5 file name.
        X: str
            Key into HDF5 file for dataset design matrix.
        topo_view: str
            Key into HDF5 file for topological view of dataset.
        y: str
            Key into HDF5 file for dataset targets.
        kwargs: dict
            Keyword arguments passed to `DenseDesignMatrix`.
        """
        with h5py.File(filename) as f:
            if X is not None:
                X = f[X][:]
            if topo_view is not None:
                topo_view = f[topo_view][:]
            if y is not None:
                y = f[y][:]

        super(HDF5Dataset, self).__init__(X=X, topo_view=topo_view, y=y,
                                          **kwargs)
