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Use importlib_metadata for entry points
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@ -11,6 +11,7 @@ numpy>=1.15.0
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requests>=2.13.0,<3.0.0
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plac<1.0.0,>=0.9.6
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pathlib==1.0.1; python_version < "3.4"
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importlib_metadata>=0.23; python_version < "3.8"
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# Optional dependencies
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jsonschema>=2.6.0,<3.1.0
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# Development dependencies
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@ -50,6 +50,7 @@ install_requires =
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wasabi>=0.2.0,<1.1.0
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srsly>=0.1.0,<1.1.0
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pathlib==1.0.1; python_version < "3.4"
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importlib_metadata>=0.23; python_version < "3.8"
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[options.extras_require]
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lookups =
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@ -35,6 +35,11 @@ try:
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except ImportError:
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cupy = None
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try: # Python 3.8
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import importlib.metadata as importlib_metadata
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except ImportError:
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import importlib_metadata # noqa: F401
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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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@ -27,7 +27,7 @@ except ImportError:
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from .symbols import ORTH
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from .compat import cupy, CudaStream, path2str, basestring_, unicode_
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from .compat import import_file
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from .compat import import_file, importlib_metadata
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from .errors import Errors, Warnings, deprecation_warning
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@ -283,7 +283,8 @@ def get_entry_points(key):
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RETURNS (dict): Entry points, keyed by name.
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"""
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result = {}
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for entry_point in pkg_resources.iter_entry_points(key):
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eps = importlib_metadata.entry_points()
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for entry_point in eps.get(key, []):
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result[entry_point.name] = entry_point.load()
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return result
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@ -297,7 +298,8 @@ def get_entry_point(key, value, default=None):
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default: Optional default value to return.
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RETURNS: The loaded entry point or None.
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"""
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for entry_point in pkg_resources.iter_entry_points(key):
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eps = importlib_metadata.entry_points()
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for entry_point in eps.get(key, []):
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if entry_point.name == value:
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return entry_point.load()
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return default
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