spaCy/spacy/compat.py

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# coding: utf8
from __future__ import unicode_literals
import six
import ftfy
import sys
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import ujson
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from thinc.neural.util import copy_array
try:
import cPickle as pickle
except ImportError:
import pickle
try:
import copy_reg
except ImportError:
import copyreg as copy_reg
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try:
from cupy.cuda.stream import Stream as CudaStream
except ImportError:
CudaStream = None
try:
import cupy
except ImportError:
cupy = None
pickle = pickle
copy_reg = copy_reg
CudaStream = CudaStream
cupy = cupy
fix_text = ftfy.fix_text
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copy_array = copy_array
is_python2 = six.PY2
is_python3 = six.PY3
is_windows = sys.platform.startswith('win')
is_linux = sys.platform.startswith('linux')
is_osx = sys.platform == 'darwin'
if is_python2:
bytes_ = str
unicode_ = unicode
basestring_ = basestring
input_ = raw_input
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json_dumps = lambda data: ujson.dumps(data, indent=2).decode('utf8')
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path2str = lambda path: str(path).decode('utf8')
elif is_python3:
bytes_ = bytes
unicode_ = str
basestring_ = str
input_ = input
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json_dumps = lambda data: ujson.dumps(data, indent=2)
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path2str = lambda path: str(path)
def symlink_to(orig, dest):
if is_python2 and is_windows:
import subprocess
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subprocess.call(['mklink', '/d', path2str(orig), path2str(dest)], shell=True)
else:
orig.symlink_to(dest)
def is_config(python2=None, python3=None, windows=None, linux=None, osx=None):
return ((python2 == None or python2 == is_python2) and
(python3 == None or python3 == is_python3) and
(windows == None or windows == is_windows) and
(linux == None or linux == is_linux) and
(osx == None or osx == is_osx))
def normalize_string_keys(old):
'''Given a dictionary, make sure keys are unicode strings, not bytes.'''
new = {}
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for key, value in old.items():
if isinstance(key, bytes_):
new[key.decode('utf8')] = value
else:
new[key] = value
return new