mirror of
https://github.com/explosion/spaCy.git
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f37863093a
Remove hacks and wrappers, keep code in sync across our libraries and move spaCy a few steps closer to only depending on packages with binary wheels 🎉 See here: https://github.com/explosion/srsly Serialization is hard, especially across Python versions and multiple platforms. After dealing with many subtle bugs over the years (encodings, locales, large files) our libraries like spaCy and Prodigy have steadily grown a number of utility functions to wrap the multiple serialization formats we need to support (especially json, msgpack and pickle). These wrapping functions ended up duplicated across our codebases, so we wanted to put them in one place. At the same time, we noticed that having a lot of small dependencies was making maintainence harder, and making installation slower. To solve this, we've made srsly standalone, by including the component packages directly within it. This way we can provide all the serialization utilities we need in a single binary wheel. srsly currently includes forks of the following packages: ujson msgpack msgpack-numpy cloudpickle * WIP: replace json/ujson with srsly * Replace ujson in examples Use regular json instead of srsly to make code easier to read and follow * Update requirements * Fix imports * Fix typos * Replace msgpack with srsly * Fix warning
131 lines
3.1 KiB
Python
131 lines
3.1 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import os
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import sys
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import itertools
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from thinc.neural.util import copy_array
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try:
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import cPickle as pickle
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except ImportError:
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import pickle
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try:
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import copy_reg
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except ImportError:
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import copyreg as copy_reg
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try:
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from cupy.cuda.stream import Stream as CudaStream
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except ImportError:
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CudaStream = None
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try:
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import cupy
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except ImportError:
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cupy = None
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try:
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from thinc.neural.optimizers import Optimizer # noqa: F401
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except ImportError:
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from thinc.neural.optimizers import Adam as Optimizer # noqa: F401
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pickle = pickle
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copy_reg = copy_reg
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CudaStream = CudaStream
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cupy = cupy
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copy_array = copy_array
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izip = getattr(itertools, "izip", zip)
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is_windows = sys.platform.startswith("win")
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is_linux = sys.platform.startswith("linux")
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is_osx = sys.platform == "darwin"
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# See: https://github.com/benjaminp/six/blob/master/six.py
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is_python2 = sys.version_info[0] == 2
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is_python3 = sys.version_info[0] == 3
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is_python_pre_3_5 = is_python2 or (is_python3 and sys.version_info[1] < 5)
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if is_python2:
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bytes_ = str
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unicode_ = unicode # noqa: F821
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basestring_ = basestring # noqa: F821
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input_ = raw_input # noqa: F821
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path2str = lambda path: str(path).decode("utf8")
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elif is_python3:
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bytes_ = bytes
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unicode_ = str
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basestring_ = str
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input_ = input
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path2str = lambda path: str(path)
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def b_to_str(b_str):
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if is_python2:
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return b_str
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# important: if no encoding is set, string becomes "b'...'"
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return str(b_str, encoding="utf8")
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def getattr_(obj, name, *default):
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if is_python3 and isinstance(name, bytes):
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name = name.decode("utf8")
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return getattr(obj, name, *default)
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def symlink_to(orig, dest):
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if is_windows:
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import subprocess
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subprocess.call(["mklink", "/d", path2str(orig), path2str(dest)], shell=True)
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else:
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orig.symlink_to(dest)
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def symlink_remove(link):
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# https://stackoverflow.com/q/26554135/6400719
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if os.path.isdir(path2str(link)) and is_windows:
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# this should only be on Py2.7 and windows
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os.rmdir(path2str(link))
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else:
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os.unlink(path2str(link))
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def is_config(python2=None, python3=None, windows=None, linux=None, osx=None):
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return (
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python2 in (None, is_python2)
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and python3 in (None, is_python3)
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and windows in (None, is_windows)
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and linux in (None, is_linux)
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and osx in (None, is_osx)
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)
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def normalize_string_keys(old):
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"""Given a dictionary, make sure keys are unicode strings, not bytes."""
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new = {}
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for key, value in old.items():
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if isinstance(key, bytes_):
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new[key.decode("utf8")] = value
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else:
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new[key] = value
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return new
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def import_file(name, loc):
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loc = str(loc)
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if is_python_pre_3_5:
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import imp
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return imp.load_source(name, loc)
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else:
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import importlib.util
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spec = importlib.util.spec_from_file_location(name, str(loc))
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module = importlib.util.module_from_spec(spec)
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spec.loader.exec_module(module)
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return module
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