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-rw-r--r--numpy/lib/format.py55
1 files changed, 47 insertions, 8 deletions
diff --git a/numpy/lib/format.py b/numpy/lib/format.py
index e25868236..10945e5e8 100644
--- a/numpy/lib/format.py
+++ b/numpy/lib/format.py
@@ -161,7 +161,9 @@ import sys
import io
import warnings
from numpy.lib.utils import safe_eval
-from numpy.compat import asbytes, asstr, isfileobj, long, basestring
+from numpy.compat import (
+ asbytes, asstr, isfileobj, long, os_fspath
+ )
from numpy.core.numeric import pickle
@@ -257,6 +259,43 @@ def dtype_to_descr(dtype):
else:
return dtype.str
+def descr_to_dtype(descr):
+ '''
+ descr may be stored as dtype.descr, which is a list of
+ (name, format, [shape]) tuples. Offsets are not explicitly saved, rather
+ empty fields with name,format == '', '|Vn' are added as padding.
+
+ This function reverses the process, eliminating the empty padding fields.
+ '''
+ if isinstance(descr, (str, dict)):
+ # No padding removal needed
+ return numpy.dtype(descr)
+
+ fields = []
+ offset = 0
+ for field in descr:
+ if len(field) == 2:
+ name, descr_str = field
+ dt = descr_to_dtype(descr_str)
+ else:
+ name, descr_str, shape = field
+ dt = numpy.dtype((descr_to_dtype(descr_str), shape))
+
+ # Ignore padding bytes, which will be void bytes with '' as name
+ # Once support for blank names is removed, only "if name == ''" needed)
+ is_pad = (name == '' and dt.type is numpy.void and dt.names is None)
+ if not is_pad:
+ fields.append((name, dt, offset))
+
+ offset += dt.itemsize
+
+ names, formats, offsets = zip(*fields)
+ # names may be (title, names) tuples
+ nametups = (n if isinstance(n, tuple) else (None, n) for n in names)
+ titles, names = zip(*nametups)
+ return numpy.dtype({'names': names, 'formats': formats, 'titles': titles,
+ 'offsets': offsets, 'itemsize': offset})
+
def header_data_from_array_1_0(array):
""" Get the dictionary of header metadata from a numpy.ndarray.
@@ -521,7 +560,7 @@ def _read_array_header(fp, version):
msg = "fortran_order is not a valid bool: %r"
raise ValueError(msg % (d['fortran_order'],))
try:
- dtype = numpy.dtype(d['descr'])
+ dtype = descr_to_dtype(d['descr'])
except TypeError as e:
msg = "descr is not a valid dtype descriptor: %r"
raise ValueError(msg % (d['descr'],))
@@ -706,7 +745,7 @@ def open_memmap(filename, mode='r+', dtype=None, shape=None,
Parameters
----------
- filename : str
+ filename : str or path-like
The name of the file on disk. This may *not* be a file-like
object.
mode : str, optional
@@ -747,9 +786,9 @@ def open_memmap(filename, mode='r+', dtype=None, shape=None,
memmap
"""
- if not isinstance(filename, basestring):
- raise ValueError("Filename must be a string. Memmap cannot use"
- " existing file handles.")
+ if isfileobj(filename):
+ raise ValueError("Filename must be a string or a path-like object."
+ " Memmap cannot use existing file handles.")
if 'w' in mode:
# We are creating the file, not reading it.
@@ -767,7 +806,7 @@ def open_memmap(filename, mode='r+', dtype=None, shape=None,
shape=shape,
)
# If we got here, then it should be safe to create the file.
- fp = open(filename, mode+'b')
+ fp = open(os_fspath(filename), mode+'b')
try:
used_ver = _write_array_header(fp, d, version)
# this warning can be removed when 1.9 has aged enough
@@ -779,7 +818,7 @@ def open_memmap(filename, mode='r+', dtype=None, shape=None,
fp.close()
else:
# Read the header of the file first.
- fp = open(filename, 'rb')
+ fp = open(os_fspath(filename), 'rb')
try:
version = read_magic(fp)
_check_version(version)