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https://github.com/explosion/spaCy.git
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a9c6104047
* Add work in progress * Update analysis helpers and component decorator * Fix porting of docstrings for Python 2 * Fix docstring stuff on Python 2 * Support meta factories when loading model * Put auto pipeline analysis behind flag for now * Analyse pipes on remove_pipe and replace_pipe * Move analysis to root for now Try to find a better place for it, but it needs to go for now to avoid circular imports * Simplify decorator Don't return a wrapped class and instead just write to the object * Update existing components and factories * Add condition in factory for classes vs. functions * Add missing from_nlp classmethods * Add "retokenizes" to printed overview * Update assigns/requires declarations of builtins * Only return data if no_print is enabled * Use multiline table for overview * Don't support Span * Rewrite errors/warnings and move them to spacy.errors
40 lines
1.1 KiB
Python
40 lines
1.1 KiB
Python
# coding: utf8
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from __future__ import unicode_literals
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import warnings
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import sys
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warnings.filterwarnings("ignore", message="numpy.dtype size changed")
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warnings.filterwarnings("ignore", message="numpy.ufunc size changed")
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# These are imported as part of the API
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from thinc.neural.util import prefer_gpu, require_gpu
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from . import pipeline
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from .cli.info import info as cli_info
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from .glossary import explain
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from .about import __version__
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from .errors import Errors, Warnings, deprecation_warning
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from . import util
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from .util import register_architecture, get_architecture
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from .language import component
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if sys.maxunicode == 65535:
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raise SystemError(Errors.E130)
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def load(name, **overrides):
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depr_path = overrides.get("path")
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if depr_path not in (True, False, None):
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deprecation_warning(Warnings.W001.format(path=depr_path))
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return util.load_model(name, **overrides)
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def blank(name, **kwargs):
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LangClass = util.get_lang_class(name)
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return LangClass(**kwargs)
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def info(model=None, markdown=False, silent=False):
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return cli_info(model, markdown, silent)
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