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dependency.py
229 lines | 7.2 KiB | text/x-python | PythonLexer
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r4018 """Dependency utilities
Authors:
* Min RK
"""
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r3660 #-----------------------------------------------------------------------------
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r9965 # Copyright (C) 2013 The IPython Development Team
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r3660 #
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
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r3665 from types import ModuleType
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r3673 from IPython.parallel.client.asyncresult import AsyncResult
from IPython.parallel.error import UnmetDependency
from IPython.parallel.util import interactive
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r4735 from IPython.utils import py3compat
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r13353 from IPython.utils.py3compat import string_types
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r9965 from IPython.utils.pickleutil import can, uncan
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r3546 class depend(object):
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r3644 """Dependency decorator, for use with tasks.
`@depend` lets you define a function for engine dependencies
just like you use `apply` for tasks.
Examples
--------
::
@depend(df, a,b, c=5)
def f(m,n,p)
view.apply(f, 1,2,3)
will call df(a,b,c=5) on the engine, and if it returns False or
raises an UnmetDependency error, then the task will not be run
and another engine will be tried.
"""
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r3546 def __init__(self, f, *args, **kwargs):
self.f = f
self.args = args
self.kwargs = kwargs
def __call__(self, f):
return dependent(f, self.f, *self.args, **self.kwargs)
class dependent(object):
"""A function that depends on another function.
This is an object to prevent the closure used
in traditional decorators, which are not picklable.
"""
def __init__(self, f, df, *dargs, **dkwargs):
self.f = f
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r13383 name = getattr(f, '__name__', 'f')
if py3compat.PY3:
self.__name__ = name
else:
self.func_name = name
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r3546 self.df = df
self.dargs = dargs
self.dkwargs = dkwargs
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def check_dependency(self):
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r3546 if self.df(*self.dargs, **self.dkwargs) is False:
raise UnmetDependency()
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def __call__(self, *args, **kwargs):
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r3546 return self.f(*args, **kwargs)
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r4735 if not py3compat.PY3:
@property
def __name__(self):
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r13400 return self.func_name
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r3664 @interactive
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r9965 def _require(*modules, **mapping):
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r3644 """Helper for @require decorator."""
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r3666 from IPython.parallel.error import UnmetDependency
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r9965 from IPython.utils.pickleutil import uncan
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r3664 user_ns = globals()
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r9965 for name in modules:
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r3548 try:
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r13350 exec('import %s' % name, user_ns)
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r3548 except ImportError:
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r3664 raise UnmetDependency(name)
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for name, cobj in mapping.items():
user_ns[name] = uncan(cobj, user_ns)
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r3548 return True
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r9965 def require(*objects, **mapping):
"""Simple decorator for requiring local objects and modules to be available
when the decorated function is called on the engine.
Modules specified by name or passed directly will be imported
prior to calling the decorated function.
Objects other than modules will be pushed as a part of the task.
Functions can be passed positionally,
and will be pushed to the engine with their __name__.
Other objects can be passed by keyword arg.
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r13595 Examples::
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r13595 In [1]: @require('numpy')
...: def norm(a):
...: return numpy.linalg.norm(a,2)
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r13595 In [2]: foo = lambda x: x*x
In [3]: @require(foo)
...: def bar(a):
...: return foo(1-a)
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r3644 """
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r3665 names = []
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r9965 for obj in objects:
if isinstance(obj, ModuleType):
obj = obj.__name__
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r13353 if isinstance(obj, string_types):
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r9965 names.append(obj)
elif hasattr(obj, '__name__'):
mapping[obj.__name__] = obj
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r3665 else:
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r9965 raise TypeError("Objects other than modules and functions "
"must be passed by kwarg, but got: %s" % type(obj)
)
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r3665
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r9965 for name, obj in mapping.items():
mapping[name] = can(obj)
return depend(_require, *names, **mapping)
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class Dependency(set):
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r3611 """An object for representing a set of msg_id dependencies.
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r3644 Subclassed from set().
Parameters
----------
dependencies: list/set of msg_ids or AsyncResult objects or output of Dependency.as_dict()
The msg_ids to depend on
all : bool [default True]
Whether the dependency should be considered met when *all* depending tasks have completed
or only when *any* have been completed.
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r3664 success : bool [default True]
Whether to consider successes as fulfilling dependencies.
failure : bool [default False]
Whether to consider failures as fulfilling dependencies.
If `all=success=True` and `failure=False`, then the task will fail with an ImpossibleDependency
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r3644 as soon as the first depended-upon task fails.
"""
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r3624 all=True
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r3664 success=True
failure=True
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r3664 def __init__(self, dependencies=[], all=True, success=True, failure=False):
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r3548 if isinstance(dependencies, dict):
# load from dict
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r3624 all = dependencies.get('all', True)
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r3664 success = dependencies.get('success', success)
failure = dependencies.get('failure', failure)
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r3607 dependencies = dependencies.get('dependencies', [])
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r3624 ids = []
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r3664
# extract ids from various sources:
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r13353 if isinstance(dependencies, string_types + (AsyncResult,)):
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r3664 dependencies = [dependencies]
for d in dependencies:
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r13353 if isinstance(d, string_types):
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r3664 ids.append(d)
elif isinstance(d, AsyncResult):
ids.extend(d.msg_ids)
else:
raise TypeError("invalid dependency type: %r"%type(d))
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r3624 set.__init__(self, ids)
self.all = all
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r3664 if not (success or failure):
raise ValueError("Must depend on at least one of successes or failures!")
self.success=success
self.failure = failure
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r3607 def check(self, completed, failed=None):
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r3664 """check whether our dependencies have been met."""
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r3548 if len(self) == 0:
return True
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r3664 against = set()
if self.success:
against = completed
if failed is not None and self.failure:
against = against.union(failed)
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r3624 if self.all:
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r3664 return self.issubset(against)
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r3565 else:
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r3664 return not self.isdisjoint(against)
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r3548
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r3664 def unreachable(self, completed, failed=None):
"""return whether this dependency has become impossible."""
if len(self) == 0:
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r3607 return False
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r3664 against = set()
if not self.success:
against = completed
if failed is not None and not self.failure:
against = against.union(failed)
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r3624 if self.all:
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r3664 return not self.isdisjoint(against)
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r3607 else:
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r3664 return self.issubset(against)
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r3548 def as_dict(self):
"""Represent this dependency as a dict. For json compatibility."""
return dict(
dependencies=list(self),
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r3624 all=self.all,
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r3664 success=self.success,
failure=self.failure
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r3548 )
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r3624 __all__ = ['depend', 'require', 'dependent', 'Dependency']
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