diff options
Diffstat (limited to 'numpy/core/memmap.py')
| -rw-r--r-- | numpy/core/memmap.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/core/memmap.py b/numpy/core/memmap.py index 66653c0c1..b0d9cb3af 100644 --- a/numpy/core/memmap.py +++ b/numpy/core/memmap.py @@ -1,8 +1,8 @@ +from contextlib import nullcontext + import numpy as np from .numeric import uint8, ndarray, dtype -from numpy.compat import ( - os_fspath, contextlib_nullcontext, is_pathlib_path -) +from numpy.compat import os_fspath, is_pathlib_path from numpy.core.overrides import set_module __all__ = ['memmap'] @@ -38,7 +38,7 @@ class memmap(ndarray): which returns a view into an mmap buffer. Flush the memmap instance to write the changes to the file. Currently there - is no API to close the underlying ``mmap``. It is tricky to ensure the + is no API to close the underlying ``mmap``. It is tricky to ensure the resource is actually closed, since it may be shared between different memmap instances. @@ -112,7 +112,7 @@ class memmap(ndarray): The memmap object can be used anywhere an ndarray is accepted. Given a memmap ``fp``, ``isinstance(fp, numpy.ndarray)`` returns ``True``. - + Memory-mapped files cannot be larger than 2GB on 32-bit systems. When a memmap causes a file to be created or extended beyond its @@ -223,7 +223,7 @@ class memmap(ndarray): raise ValueError("shape must be given") if hasattr(filename, 'read'): - f_ctx = contextlib_nullcontext(filename) + f_ctx = nullcontext(filename) else: f_ctx = open(os_fspath(filename), ('r' if mode == 'c' else mode)+'b') @@ -316,7 +316,7 @@ class memmap(ndarray): self.base.flush() def __array_wrap__(self, arr, context=None): - arr = super(memmap, self).__array_wrap__(arr, context) + arr = super().__array_wrap__(arr, context) # Return a memmap if a memmap was given as the output of the # ufunc. Leave the arr class unchanged if self is not a memmap @@ -331,7 +331,7 @@ class memmap(ndarray): return arr.view(np.ndarray) def __getitem__(self, index): - res = super(memmap, self).__getitem__(index) + res = super().__getitem__(index) if type(res) is memmap and res._mmap is None: return res.view(type=ndarray) return res |