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Copy pathcompat.py
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213 lines (167 loc) · 5.64 KB
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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# flake8: noqa
from __future__ import absolute_import
import itertools
import numpy as np
import sys
import six
from six import BytesIO, StringIO, string_types as py_string
import socket
PY26 = sys.version_info[:2] == (2, 6)
PY2 = sys.version_info[0] == 2
if PY26:
import unittest2 as unittest
else:
import unittest
if PY2:
import cPickle as builtin_pickle
try:
from cdecimal import Decimal
except ImportError:
from decimal import Decimal
from collections import Iterable, Mapping, Sequence
unicode_type = unicode
file_type = file
lzip = zip
zip = itertools.izip
zip_longest = itertools.izip_longest
def dict_values(x):
return x.values()
range = xrange
long = long
def guid():
from uuid import uuid4
return uuid4().get_hex()
def u(s):
return unicode(s, "unicode_escape")
def tobytes(o):
if isinstance(o, unicode):
return o.encode('utf8')
else:
return o
def u_utf8(s):
return s.decode('utf-8')
def frombytes(o):
return o
def unichar(s):
return unichr(s)
else:
try:
import pickle5 as builtin_pickle
except ImportError:
import pickle as builtin_pickle
from collections.abc import Iterable, Mapping, Sequence
unicode_type = str
file_type = None
def lzip(*x):
return list(zip(*x))
long = int
zip = zip
zip_longest = itertools.zip_longest
def dict_values(x):
return list(x.values())
from decimal import Decimal
range = range
def guid():
from uuid import uuid4
return uuid4().hex
def u(s):
return s
def tobytes(o):
if isinstance(o, str):
return o.encode('utf8')
else:
return o
def u_utf8(s):
if isinstance(s, bytes):
return frombytes(s)
return s
def frombytes(o):
return o.decode('utf8')
def unichar(s):
return chr(s)
if sys.version_info >= (3, 7):
# Starting with Python 3.7, dicts are guaranteed to be insertion-ordered.
ordered_dict = dict
else:
import collections
ordered_dict = collections.OrderedDict
try:
import cloudpickle as pickle
except ImportError:
pickle = builtin_pickle
def encode_file_path(path):
import os
if isinstance(path, unicode_type):
# POSIX systems can handle utf-8. UTF8 is converted to utf16-le in
# libarrow
encoded_path = path.encode('utf-8')
else:
encoded_path = path
# Windows file system requires utf-16le for file names; Arrow C++ libraries
# will convert utf8 to utf16
return encoded_path
integer_types = six.integer_types + (np.integer,)
def get_socket_from_fd(fileno, family, type):
if PY2:
socket_obj = socket.fromfd(fileno, family, type)
return socket.socket(family, type, _sock=socket_obj)
else:
return socket.socket(fileno=fileno, family=family, type=type)
try:
# This function is available after numpy-0.16.0.
# See also: https://github.com/numpy/numpy/blob/master/numpy/lib/format.py
from numpy.lib.format import descr_to_dtype
except ImportError:
def descr_to_dtype(descr):
'''
descr may be stored as dtype.descr, which is a list of
(name, format, [shape]) tuples where format may be a str or a tuple.
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):
# No padding removal needed
return np.dtype(descr)
elif isinstance(descr, tuple):
# subtype, will always have a shape descr[1]
dt = descr_to_dtype(descr[0])
return np.dtype((dt, descr[1]))
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 = np.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 np.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 np.dtype({'names': names, 'formats': formats, 'titles': titles,
'offsets': offsets, 'itemsize': offset})
__all__ = []