nlcpy.io.npz のソースコード

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# * The source code in this file is based on the soure code of CuPy.
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#     Copyright (c) 2015 Preferred Infrastructure, Inc.
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import nlcpy
from nlcpy.wrapper.numpy_wrap import numpy_wrap


class NpzFile(object):

    def __init__(self, npz_file):
        self.npz_file = npz_file

    def __enter__(self):
        self.npz_file.__enter__()
        return self

    def __exit__(self, typ, val, traceback):
        self.npz_file.__exit__(typ, val, traceback)

    def __getitem__(self, key):
        arr = self.npz_file[key]
        return nlcpy.array(arr)

    def close(self):
        self.npz_file.close()


[ドキュメント]@numpy_wrap def load(file, mmap_mode=None, allow_pickle=False, fix_imports=True, encoding='ASCII'): """Loads arrays or pickled objects from ``.npy``, ``.npz`` or pickled files. .. Warning:: Loading files that contain object arrays uses the ``pickle`` module, which is not secure against erroneous or maliciously constructed data. Consider passing ``allow_pickle=False`` to load data that is known not to contain object arrays for the safer handling of untrusted sources. Parameters ---------- file : file-like object, string, or pathlib.Path The file to read. File-like objects must support the ``seek()`` and ``read()`` methods. Pickled files require that the file-like object support the ``readline()`` method as well. mmap_mode : {None, 'r+', 'r', 'w+', 'c'}, optional If not None, memory-map the file to construct an intermediate :obj:`numpy.ndarray` object and create :obj:`nlcpy.ndarray` from it. allow_pickle : bool, optional Allow loading pickled object arrays stored in npy files. Reasons for disallowing pickles include security, as loading pickled data can execute arbitrary code. If pickles are disallowed, loading object arrays will fail. Default: False fix_imports : bool, optional Only useful when loading Python 2 generated pickled files on Python 3, which includes npy/npz files containing object arrays. If ``fix_imports`` is True, pickle will try to map the old Python 2 names to the new names used in Python 3. encoding : str, optional What encoding to use when reading Python 2 strings. Only useful when loading Python 2 generated pickled files in Python 3, which includes npy/npz files containing object arrays. Values other than 'latin1', 'ASCII', and 'bytes' are not allowed, as they can corrupt numerical data. Default: 'ASCII' Returns ------- result : ndarray, tuple, dict, etc. Data stored in the file. For ``.npz`` files, the returned instance of NpzFile class must be closed to avoid leaking file descriptors. Note ---- - If the file contains pickle data, then whatever object is stored in the pickle is returned. - If the file is a ``.npy`` file, then a single array is returned. - If the file is a ``.npz`` file, then a dictionary-like object is returned, containing {filename: array} key-value pairs, one for each file in the archive. - If the file is a ``.npz`` file, the returned value supports the context manager protocol in a similar fashion to the open function:: with load('foo.npz') as data: a = data['a'] The underlying file descriptor is closed when exiting the 'with' block. See Also -------- loadtxt : Loads data from a text file. Examples -------- Store data to disk, and load it again: >>> import numpy as np >>> import nlcpy as vp >>> np.save('./123', np.array([[1, 2, 3], [4, 5, 6]])) >>> vp.load('./123.npy') array([[1, 2, 3], [4, 5, 6]]) Store compressed data to disk, and load it again: >>> a=np.array([[1, 2, 3], [4, 5, 6]]) >>> b=np.array([1, 2]) >>> np.savez('./123.npz', a=a, b=b) >>> data = vp.load('./123.npz') >>> data['a'] array([[1, 2, 3], [4, 5, 6]]) >>> data['b'] array([1, 2]) >>> data.close() """ raise NotImplementedError