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陈赣
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
import inspect
import importlib
import re
try:
from docstring_parser import parse as doc_parse
except Exception:
def doc_parse(*args):
pass
try:
from typeguard import check_type
except Exception:
def check_type(*args):
pass
__all__ = ['SchemaValue', 'SchemaDict', 'SharedConfig', 'extract_schema']
class SchemaValue(object):
def __init__(self, name, doc='', type=None):
super(SchemaValue, self).__init__()
self.name = name
self.doc = doc
self.type = type
def set_default(self, value):
self.default = value
def has_default(self):
return hasattr(self, 'default')
class SchemaDict(dict):
def __init__(self, **kwargs):
super(SchemaDict, self).__init__()
self.schema = {}
self.strict = False
self.doc = ""
self.update(kwargs)
def __setitem__(self, key, value):
# XXX also update regular dict to SchemaDict??
if isinstance(value, dict) and key in self and isinstance(self[key],
SchemaDict):
self[key].update(value)
else:
super(SchemaDict, self).__setitem__(key, value)
def __missing__(self, key):
if self.has_default(key):
return self.schema[key].default
elif key in self.schema:
return self.schema[key]
else:
raise KeyError(key)
def copy(self):
newone = SchemaDict()
newone.__dict__.update(self.__dict__)
newone.update(self)
return newone
def set_schema(self, key, value):
assert isinstance(value, SchemaValue)
self.schema[key] = value
def set_strict(self, strict):
self.strict = strict
def has_default(self, key):
return key in self.schema and self.schema[key].has_default()
def is_default(self, key):
if not self.has_default(key):
return False
if hasattr(self[key], '__dict__'):
return True
else:
return key not in self or self[key] == self.schema[key].default
def find_default_keys(self):
return [
k for k in list(self.keys()) + list(self.schema.keys())
if self.is_default(k)
]
def mandatory(self):
return any([k for k in self.schema.keys() if not self.has_default(k)])
def find_missing_keys(self):
missing = [
k for k in self.schema.keys()
if k not in self and not self.has_default(k)
]
placeholders = [k for k in self if self[k] in ('<missing>', '<value>')]
return missing + placeholders
def find_extra_keys(self):
return list(set(self.keys()) - set(self.schema.keys()))
def find_mismatch_keys(self):
mismatch_keys = []
for arg in self.schema.values():
if arg.type is not None:
try:
check_type("{}.{}".format(self.name, arg.name),
self[arg.name], arg.type)
except Exception:
mismatch_keys.append(arg.name)
return mismatch_keys
def validate(self):
missing_keys = self.find_missing_keys()
if missing_keys:
raise ValueError("Missing param for class<{}>: {}".format(
self.name, ", ".join(missing_keys)))
extra_keys = self.find_extra_keys()
if extra_keys and self.strict:
raise ValueError("Extraneous param for class<{}>: {}".format(
self.name, ", ".join(extra_keys)))
mismatch_keys = self.find_mismatch_keys()
if mismatch_keys:
raise TypeError("Wrong param type for class<{}>: {}".format(
self.name, ", ".join(mismatch_keys)))
class SharedConfig(object):
"""
Representation class for `__shared__` annotations, which work as follows:
- if `key` is set for the module in config file, its value will take
precedence
- if `key` is not set for the module but present in the config file, its
value will be used
- otherwise, use the provided `default_value` as fallback
Args:
key: config[key] will be injected
default_value: fallback value
"""
def __init__(self, key, default_value=None):
super(SharedConfig, self).__init__()
self.key = key
self.default_value = default_value
def extract_schema(cls):
"""
Extract schema from a given class
Args:
cls (type): Class from which to extract.
Returns:
schema (SchemaDict): Extracted schema.
"""
ctor = cls.__init__
# python 2 compatibility
if hasattr(inspect, 'getfullargspec'):
argspec = inspect.getfullargspec(ctor)
annotations = argspec.annotations
has_kwargs = argspec.varkw is not None
else:
argspec = inspect.getfullargspec(ctor)
# python 2 type hinting workaround, see pep-3107
# however, since `typeguard` does not support python 2, type checking
# is still python 3 only for now
annotations = getattr(ctor, '__annotations__', {})
has_kwargs = argspec.varkw is not None
names = [arg for arg in argspec.args if arg != 'self']
defaults = argspec.defaults
num_defaults = argspec.defaults is not None and len(argspec.defaults) or 0
num_required = len(names) - num_defaults
docs = cls.__doc__
if docs is None and getattr(cls, '__category__', None) == 'op':
docs = cls.__call__.__doc__
try:
docstring = doc_parse(docs)
except Exception:
docstring = None
if docstring is None:
comments = {}
else:
comments = {}
for p in docstring.params:
match_obj = re.match('^([a-zA-Z_]+[a-zA-Z_0-9]*).*', p.arg_name)
if match_obj is not None:
comments[match_obj.group(1)] = p.description
schema = SchemaDict()
schema.name = cls.__name__
schema.doc = ""
if docs is not None:
start_pos = docs[0] == '\n' and 1 or 0
schema.doc = docs[start_pos:].split("\n")[0].strip()
# XXX handle paddle's weird doc convention
if '**' == schema.doc[:2] and '**' == schema.doc[-2:]:
schema.doc = schema.doc[2:-2].strip()
schema.category = hasattr(cls, '__category__') and getattr(
cls, '__category__') or 'module'
schema.strict = not has_kwargs
schema.pymodule = importlib.import_module(cls.__module__)
schema.inject = getattr(cls, '__inject__', [])
schema.shared = getattr(cls, '__shared__', [])
for idx, name in enumerate(names):
comment = name in comments and comments[name] or name
if name in schema.inject:
type_ = None
else:
type_ = name in annotations and annotations[name] or None
value_schema = SchemaValue(name, comment, type_)
if name in schema.shared:
assert idx >= num_required, "shared config must have default value"
default = defaults[idx - num_required]
value_schema.set_default(SharedConfig(name, default))
elif idx >= num_required:
default = defaults[idx - num_required]
value_schema.set_default(default)
schema.set_schema(name, value_schema)
return schema

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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import importlib
import inspect
import yaml
from .schema import SharedConfig
__all__ = ['serializable', 'Callable']
def represent_dictionary_order(self, dict_data):
return self.represent_mapping('tag:yaml.org,2002:map', dict_data.items())
def setup_orderdict():
from collections import OrderedDict
yaml.add_representer(OrderedDict, represent_dictionary_order)
def _make_python_constructor(cls):
def python_constructor(loader, node):
if isinstance(node, yaml.SequenceNode):
args = loader.construct_sequence(node, deep=True)
return cls(*args)
else:
kwargs = loader.construct_mapping(node, deep=True)
try:
return cls(**kwargs)
except Exception as ex:
print("Error when construct {} instance from yaml config".
format(cls.__name__))
raise ex
return python_constructor
def _make_python_representer(cls):
# python 2 compatibility
if hasattr(inspect, 'getfullargspec'):
argspec = inspect.getfullargspec(cls)
else:
argspec = inspect.getfullargspec(cls.__init__)
argnames = [arg for arg in argspec.args if arg != 'self']
def python_representer(dumper, obj):
if argnames:
data = {name: getattr(obj, name) for name in argnames}
else:
data = obj.__dict__
if '_id' in data:
del data['_id']
return dumper.represent_mapping(u'!{}'.format(cls.__name__), data)
return python_representer
def serializable(cls):
"""
Add loader and dumper for given class, which must be
"trivially serializable"
Args:
cls: class to be serialized
Returns: cls
"""
yaml.add_constructor(u'!{}'.format(cls.__name__),
_make_python_constructor(cls))
yaml.add_representer(cls, _make_python_representer(cls))
return cls
yaml.add_representer(SharedConfig,
lambda d, o: d.represent_data(o.default_value))
@serializable
class Callable(object):
"""
Helper to be used in Yaml for creating arbitrary class objects
Args:
full_type (str): the full module path to target function
"""
def __init__(self, full_type, args=[], kwargs={}):
super(Callable, self).__init__()
self.full_type = full_type
self.args = args
self.kwargs = kwargs
def __call__(self):
if '.' in self.full_type:
idx = self.full_type.rfind('.')
module = importlib.import_module(self.full_type[:idx])
func_name = self.full_type[idx + 1:]
else:
try:
module = importlib.import_module('builtins')
except Exception:
module = importlib.import_module('__builtin__')
func_name = self.full_type
func = getattr(module, func_name)
return func(*self.args, **self.kwargs)