<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def File(name, mode='a', chunk_cache_mem_size=1024**2, w0=0.75, n_cache_chunks=None, **kwds):
 """Create h5py File object with cache specification This function is basically just a wrapper around the usual h5py.File constructor, but accepts two additional keywords: Parameters name : str mode : str **kwds : dict (as keywords) Standard h5py.File arguments, passed to its constructor chunk_cache_mem_size : int Number of bytes to use for the chunk cache. Defaults to 1024**2 (1MB), which is also the default for h5py.File -- though it cannot be changed through the standard interface. w0 : float between 0.0 and 1.0 Eviction parameter. Defaults to 0.75. "If the application will access the same data more than once, w0 should be set closer to 0, and if the application does not, w0 should be set closer to 1." --- <https://www.hdfgroup.org/HDF5/doc/Advanced/Chunking/> n_cache_chunks : int Number of chunks to be kept in cache at a time. Defaults to the (smallest integer greater than) the square root of the number of elements that can fit into memory. This is just used for the number of slots (nslots) maintained in the cache metadata, so it can be set larger than needed with little cost. """

    import sys
    import numpy as np
    import h5py
    name = name.encode(sys.getfilesystemencoding())
    open(name, mode).close()  # Just make sure the file exists
    if mode in [m+b for m in ['w', 'w+', 'r+', 'a', 'a+'] for b in ['', 'b']]:
        mode = h5py.h5f.ACC_RDWR
    else:
        mode = h5py.h5f.ACC_RDONLY
    if 'dtype' in kwds:
        bytes_per_object = np.dtype(kwds['dtype']).itemsize
    else:
        bytes_per_object = np.dtype(np.float).itemsize  # assume float as most likely
    if not n_cache_chunks:
        n_cache_chunks = int(np.ceil(np.sqrt(chunk_cache_mem_size / bytes_per_object)))
    nslots = _find_next_prime(100 * n_cache_chunks)
    propfaid = h5py.h5p.create(h5py.h5p.FILE_ACCESS)
    settings = list(propfaid.get_cache())
    settings[1:] = (nslots, chunk_cache_mem_size, w0)
    propfaid.set_cache(*settings)
    return h5py.File(h5py.h5f.open(name, flags=mode, fapl=propfaid), **kwds)