mirror of
https://github.com/explosion/spaCy.git
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447 lines
14 KiB
Python
447 lines
14 KiB
Python
# coding: utf8
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from __future__ import unicode_literals, print_function
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import os
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import ujson
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import pip
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import importlib
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import regex as re
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from pathlib import Path
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import sys
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import textwrap
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import random
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from .symbols import ORTH
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from .compat import cupy, CudaStream, path2str, basestring_, input_, unicode_
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LANGUAGES = {}
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_data_path = Path(__file__).parent / 'data'
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def get_lang_class(lang):
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"""Import and load a Language class.
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lang (unicode): Two-letter language code, e.g. 'en'.
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RETURNS (Language): Language class.
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"""
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global LANGUAGES
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if not lang in LANGUAGES:
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try:
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module = importlib.import_module('.lang.%s' % lang, 'spacy')
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except ImportError:
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raise ImportError("Can't import language %s from spacy.lang." %lang)
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LANGUAGES[lang] = getattr(module, module.__all__[0])
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return LANGUAGES[lang]
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def set_lang_class(name, cls):
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"""Set a custom Language class name that can be loaded via get_lang_class.
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name (unicode): Name of Language class.
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cls (Language): Language class.
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"""
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global LANGUAGES
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LANGUAGES[name] = cls
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def get_data_path(require_exists=True):
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"""Get path to spaCy data directory.
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require_exists (bool): Only return path if it exists, otherwise None.
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RETURNS (Path or None): Data path or None.
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"""
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if not require_exists:
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return _data_path
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else:
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return _data_path if _data_path.exists() else None
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def set_data_path(path):
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"""Set path to spaCy data directory.
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path (unicode or Path): Path to new data directory.
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"""
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global _data_path
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_data_path = ensure_path(path)
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def ensure_path(path):
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"""Ensure string is converted to a Path.
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path: Anything. If string, it's converted to Path.
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RETURNS: Path or original argument.
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"""
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if isinstance(path, basestring_):
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return Path(path)
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else:
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return path
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def resolve_model_path(name):
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"""Resolve a model name or string to a model path.
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name (unicode): Package name, shortcut link or model path.
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RETURNS (Path): Path to model data directory.
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"""
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data_path = get_data_path()
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if not data_path or not data_path.exists():
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raise IOError("Can't find spaCy data path: %s" % path2str(data_path))
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if isinstance(name, basestring_):
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if (data_path / name).exists(): # in data dir or shortcut link
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return (data_path / name)
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if is_package(name): # installed as a package
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return get_model_package_path(name)
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if Path(name).exists(): # path to model
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return Path(name)
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elif hasattr(name, 'exists'): # Path or Path-like object
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return name
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raise IOError("Can't find model '%s'" % name)
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def is_package(name):
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"""Check if string maps to a package installed via pip.
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name (unicode): Name of package.
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RETURNS (bool): True if installed package, False if not.
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"""
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packages = pip.get_installed_distributions()
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for package in packages:
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if package.project_name.replace('-', '_') == name:
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return True
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return False
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def get_model_package_path(package_name):
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"""Get path to a model package installed via pip.
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package_name (unicode): Name of installed package.
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RETURNS (Path): Path to model data directory.
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"""
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# Here we're importing the module just to find it. This is worryingly
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# indirect, but it's otherwise very difficult to find the package.
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# Python's installation and import rules are very complicated.
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pkg = importlib.import_module(package_name)
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package_path = Path(pkg.__file__).parent.parent
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meta = parse_package_meta(package_path / package_name)
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model_name = '%s-%s' % (package_name, meta['version'])
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return package_path / package_name / model_name
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def parse_package_meta(package_path, require=True):
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"""Check if a meta.json exists in a package and return its contents.
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package_path (Path): Path to model package directory.
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require (bool): If True, raise error if no meta.json is found.
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RETURNS (dict or None): Model meta.json data or None.
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"""
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location = package_path / 'meta.json'
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if location.is_file():
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return read_json(location)
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elif require:
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raise IOError("Could not read meta.json from %s" % location)
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else:
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return None
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def is_in_jupyter():
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"""Check if user is running spaCy from a Jupyter notebook by detecting the
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IPython kernel. Mainly used for the displaCy visualizer.
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RETURNS (bool): True if in Jupyter, False if not.
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"""
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try:
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cfg = get_ipython().config
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if cfg['IPKernelApp']['parent_appname'] == 'ipython-notebook':
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return True
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except NameError:
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return False
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return False
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def get_cuda_stream(require=False):
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# TODO: Error and tell to install chainer if not found
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# Requires GPU
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return CudaStream() if CudaStream is not None else None
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def get_async(stream, numpy_array):
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if cupy is None:
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return numpy_array
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else:
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array = cupy.ndarray(numpy_array.shape, order='C',
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dtype=numpy_array.dtype)
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array.set(numpy_array, stream=stream)
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return array
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def itershuffle(iterable, bufsize=1000):
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"""Shuffle an iterator. This works by holding `bufsize` items back
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and yielding them sometime later. Obviously, this is not unbiased --
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but should be good enough for batching. Larger bufsize means less bias.
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From https://gist.github.com/andres-erbsen/1307752
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"""
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iterable = iter(iterable)
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buf = []
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try:
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while True:
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for i in range(random.randint(1, bufsize-len(buf))):
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buf.append(iterable.next())
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random.shuffle(buf)
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for i in range(random.randint(1, bufsize)):
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if buf:
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yield buf.pop()
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else:
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break
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except StopIteration:
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random.shuffle(buf)
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while buf:
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yield buf.pop()
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raise StopIteration
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def env_opt(name, default=None):
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if type(default) is float:
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type_convert = float
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else:
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type_convert = int
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if 'SPACY_' + name.upper() in os.environ:
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value = type_convert(os.environ['SPACY_' + name.upper()])
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print(name, "=", repr(value), "via", "$SPACY_" + name.upper())
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return value
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elif name in os.environ:
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value = type_convert(os.environ[name])
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print(name, "=", repr(value), "via", '$' + name)
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return value
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else:
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print(name, '=', repr(default), "by default")
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return default
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def read_regex(path):
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path = ensure_path(path)
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with path.open() as file_:
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entries = file_.read().split('\n')
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expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_prefix_regex(entries):
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if '(' in entries:
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# Handle deprecated data
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expression = '|'.join(['^' + re.escape(piece) for piece in entries if piece.strip()])
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return re.compile(expression)
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else:
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expression = '|'.join(['^' + piece for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_suffix_regex(entries):
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expression = '|'.join([piece + '$' for piece in entries if piece.strip()])
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return re.compile(expression)
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def compile_infix_regex(entries):
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expression = '|'.join([piece for piece in entries if piece.strip()])
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return re.compile(expression)
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def update_exc(base_exceptions, *addition_dicts):
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"""Update and validate tokenizer exceptions. Will overwrite exceptions.
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base_exceptions (dict): Base exceptions.
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*addition_dicts (dict): Exceptions to add to the base dict, in order.
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RETURNS (dict): Combined tokenizer exceptions.
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"""
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exc = dict(base_exceptions)
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for additions in addition_dicts:
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for orth, token_attrs in additions.items():
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if not all(isinstance(attr[ORTH], unicode_) for attr in token_attrs):
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msg = "Invalid value for ORTH in exception: key='%s', orths='%s'"
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raise ValueError(msg % (orth, token_attrs))
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described_orth = ''.join(attr[ORTH] for attr in token_attrs)
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if orth != described_orth:
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raise ValueError("Invalid tokenizer exception: ORTH values "
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"combined don't match original string. "
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"key='%s', orths='%s'" % (orth, described_orth))
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# overlap = set(exc.keys()).intersection(set(additions))
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# assert not overlap, overlap
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exc.update(additions)
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exc = expand_exc(exc, "'", "’")
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return exc
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def expand_exc(excs, search, replace):
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"""Find string in tokenizer exceptions, duplicate entry and replace string.
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For example, to add additional versions with typographic apostrophes.
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excs (dict): Tokenizer exceptions.
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search (unicode): String to find and replace.
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replace (unicode): Replacement.
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RETURNS (dict): Combined tokenizer exceptions.
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"""
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def _fix_token(token, search, replace):
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fixed = dict(token)
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fixed[ORTH] = fixed[ORTH].replace(search, replace)
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return fixed
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new_excs = dict(excs)
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for token_string, tokens in excs.items():
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if search in token_string:
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new_key = token_string.replace(search, replace)
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new_value = [_fix_token(t, search, replace) for t in tokens]
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new_excs[new_key] = new_value
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return new_excs
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def normalize_slice(length, start, stop, step=None):
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if not (step is None or step == 1):
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raise ValueError("Stepped slices not supported in Span objects."
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"Try: list(tokens)[start:stop:step] instead.")
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if start is None:
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start = 0
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elif start < 0:
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start += length
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start = min(length, max(0, start))
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if stop is None:
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stop = length
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elif stop < 0:
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stop += length
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stop = min(length, max(start, stop))
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assert 0 <= start <= stop <= length
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return start, stop
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def compounding(start, stop, compound):
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'''Yield an infinite series of compounding values. Each time the
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generator is called, a value is produced by multiplying the previous
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value by the compound rate.
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EXAMPLE
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>>> sizes = compounding(1., 10., 1.5)
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>>> assert next(sizes) == 1.
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>>> assert next(sizes) == 1 * 1.5
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>>> assert next(sizes) == 1.5 * 1.5
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'''
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def clip(value):
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return max(value, stop) if (start>stop) else min(value, stop)
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curr = float(start)
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while True:
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yield clip(curr)
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curr *= compound
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def decaying(start, stop, decay):
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'''Yield an infinite series of linearly decaying values.'''
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def clip(value):
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return max(value, stop) if (start>stop) else min(value, stop)
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nr_upd = 1.
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while True:
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yield clip(start * 1./(1. + decay * nr_upd))
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nr_upd += 1
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def check_renamed_kwargs(renamed, kwargs):
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for old, new in renamed.items():
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if old in kwargs:
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raise TypeError("Keyword argument %s now renamed to %s" % (old, new))
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def read_json(location):
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"""Open and load JSON from file.
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location (Path): Path to JSON file.
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RETURNS (dict): Loaded JSON content.
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"""
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with location.open('r', encoding='utf8') as f:
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return ujson.load(f)
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def get_raw_input(description, default=False):
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"""Get user input from the command line via raw_input / input.
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description (unicode): Text to display before prompt.
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default (unicode or False/None): Default value to display with prompt.
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RETURNS (unicode): User input.
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"""
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additional = ' (default: %s)' % default if default else ''
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prompt = ' %s%s: ' % (description, additional)
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user_input = input_(prompt)
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return user_input
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def print_table(data, title=None):
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"""Print data in table format.
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data (dict or list of tuples): Label/value pairs.
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title (unicode or None): Title, will be printed above.
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"""
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if isinstance(data, dict):
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data = list(data.items())
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tpl_row = ' {:<15}' * len(data[0])
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table = '\n'.join([tpl_row.format(l, v) for l, v in data])
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if title:
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print('\n \033[93m{}\033[0m'.format(title))
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print('\n{}\n'.format(table))
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def print_markdown(data, title=None):
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"""Print data in GitHub-flavoured Markdown format for issues etc.
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data (dict or list of tuples): Label/value pairs.
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title (unicode or None): Title, will be rendered as headline 2.
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"""
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def excl_value(value):
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return Path(value).exists() # contains path (personal info)
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if isinstance(data, dict):
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data = list(data.items())
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markdown = ["* **{}:** {}".format(l, v) for l, v in data if not excl_value(v)]
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if title:
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print("\n## {}".format(title))
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print('\n{}\n'.format('\n'.join(markdown)))
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def prints(*texts, **kwargs):
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"""Print formatted message (manual ANSI escape sequences to avoid dependency)
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*texts (unicode): Texts to print. Each argument is rendered as paragraph.
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**kwargs: 'title' becomes coloured headline. 'exits'=True performs sys exit.
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"""
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exits = kwargs.get('exits', None)
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title = kwargs.get('title', None)
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title = '\033[93m{}\033[0m\n'.format(_wrap(title)) if title else ''
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message = '\n\n'.join([_wrap(text) for text in texts])
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print('\n{}{}\n'.format(title, message))
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if exits is not None:
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sys.exit(exits)
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def _wrap(text, wrap_max=80, indent=4):
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"""Wrap text at given width using textwrap module.
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text (unicode): Text to wrap. If it's a Path, it's converted to string.
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wrap_max (int): Maximum line length (indent is deducted).
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indent (int): Number of spaces for indentation.
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RETURNS (unicode): Wrapped text.
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"""
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indent = indent * ' '
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wrap_width = wrap_max - len(indent)
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if isinstance(text, Path):
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text = path2str(text)
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return textwrap.fill(text, width=wrap_width, initial_indent=indent,
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subsequent_indent=indent, break_long_words=False,
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break_on_hyphens=False)
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def minify_html(html):
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"""Perform a template-specific, rudimentary HTML minification for displaCy.
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Disclaimer: NOT a general-purpose solution, only removes indentation/newlines.
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html (unicode): Markup to minify.
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RETURNS (unicode): "Minified" HTML.
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"""
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return html.strip().replace(' ', '').replace('\n', '')
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