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Fix rpmlint: non-executable-script """ This text file contains a shebang or is located in a path dedicated for executables, but lacks the executable bits and cannot thus be executed. If the file is meant to be an executable script, add the executable bits, otherwise remove the shebang or move the file elsewhere. """ Mostly deleting the shebang, but some files contain a __main__ function, so make them executable. This is the last commit of this series and: Closes gh-647.

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dependency.py
201 lines | 6.1 KiB | text/x-python | PythonLexer
"""Dependency utilities
Authors:
* Min RK
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2010-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
from types import ModuleType
from IPython.parallel.client.asyncresult import AsyncResult
from IPython.parallel.error import UnmetDependency
from IPython.parallel.util import interactive
class depend(object):
"""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.
"""
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
self.func_name = getattr(f, '__name__', 'f')
self.df = df
self.dargs = dargs
self.dkwargs = dkwargs
def __call__(self, *args, **kwargs):
# if hasattr(self.f, 'func_globals') and hasattr(self.df, 'func_globals'):
# self.df.func_globals = self.f.func_globals
if self.df(*self.dargs, **self.dkwargs) is False:
raise UnmetDependency()
return self.f(*args, **kwargs)
@property
def __name__(self):
return self.func_name
@interactive
def _require(*names):
"""Helper for @require decorator."""
from IPython.parallel.error import UnmetDependency
user_ns = globals()
for name in names:
if name in user_ns:
continue
try:
exec 'import %s'%name in user_ns
except ImportError:
raise UnmetDependency(name)
return True
def require(*mods):
"""Simple decorator for requiring names to be importable.
Examples
--------
In [1]: @require('numpy')
...: def norm(a):
...: import numpy
...: return numpy.linalg.norm(a,2)
"""
names = []
for mod in mods:
if isinstance(mod, ModuleType):
mod = mod.__name__
if isinstance(mod, basestring):
names.append(mod)
else:
raise TypeError("names must be modules or module names, not %s"%type(mod))
return depend(_require, *names)
class Dependency(set):
"""An object for representing a set of msg_id dependencies.
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.
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
as soon as the first depended-upon task fails.
"""
all=True
success=True
failure=True
def __init__(self, dependencies=[], all=True, success=True, failure=False):
if isinstance(dependencies, dict):
# load from dict
all = dependencies.get('all', True)
success = dependencies.get('success', success)
failure = dependencies.get('failure', failure)
dependencies = dependencies.get('dependencies', [])
ids = []
# extract ids from various sources:
if isinstance(dependencies, (basestring, AsyncResult)):
dependencies = [dependencies]
for d in dependencies:
if isinstance(d, basestring):
ids.append(d)
elif isinstance(d, AsyncResult):
ids.extend(d.msg_ids)
else:
raise TypeError("invalid dependency type: %r"%type(d))
set.__init__(self, ids)
self.all = all
if not (success or failure):
raise ValueError("Must depend on at least one of successes or failures!")
self.success=success
self.failure = failure
def check(self, completed, failed=None):
"""check whether our dependencies have been met."""
if len(self) == 0:
return True
against = set()
if self.success:
against = completed
if failed is not None and self.failure:
against = against.union(failed)
if self.all:
return self.issubset(against)
else:
return not self.isdisjoint(against)
def unreachable(self, completed, failed=None):
"""return whether this dependency has become impossible."""
if len(self) == 0:
return False
against = set()
if not self.success:
against = completed
if failed is not None and not self.failure:
against = against.union(failed)
if self.all:
return not self.isdisjoint(against)
else:
return self.issubset(against)
def as_dict(self):
"""Represent this dependency as a dict. For json compatibility."""
return dict(
dependencies=list(self),
all=self.all,
success=self.success,
failure=self.failure
)
__all__ = ['depend', 'require', 'dependent', 'Dependency']