Uploaded Test files

This commit is contained in:
Batuhan Berk Başoğlu 2020-11-12 11:05:57 -05:00
parent f584ad9d97
commit 2e81cb7d99
16627 changed files with 2065359 additions and 102444 deletions

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import warnings
class VisibleDeprecationWarning(UserWarning):
"""A DeprecationWarning that users should see."""
pass
warnings.warn("""zmq.eventloop.minitornado is deprecated in pyzmq 14.0 and will be removed.
Install tornado itself to use zmq with the tornado IOLoop.
""",
VisibleDeprecationWarning,
stacklevel=4,
)

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"""pyzmq does not ship tornado's futures,
this just raises informative NotImplementedErrors to avoid having to change too much code.
"""
class NotImplementedFuture(object):
def __init__(self, *args, **kwargs):
raise NotImplementedError("pyzmq does not ship tornado's Futures, "
"install tornado >= 3.0 for future support."
)
Future = TracebackFuture = NotImplementedFuture
def is_future(x):
return isinstance(x, Future)

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"""minimal subset of tornado.log for zmq.eventloop.minitornado"""
import logging
app_log = logging.getLogger("tornado.application")
gen_log = logging.getLogger("tornado.general")

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#!/usr/bin/env python
#
# Copyright 2011 Facebook
#
# 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.
"""Implementation of platform-specific functionality.
For each function or class described in `tornado.platform.interface`,
the appropriate platform-specific implementation exists in this module.
Most code that needs access to this functionality should do e.g.::
from tornado.platform.auto import set_close_exec
"""
from __future__ import absolute_import, division, print_function, with_statement
import os
if os.name == 'nt':
from .common import Waker
from .windows import set_close_exec
else:
from .posix import set_close_exec, Waker
try:
# monotime monkey-patches the time module to have a monotonic function
# in versions of python before 3.3.
import monotime
except ImportError:
pass
try:
from time import monotonic as monotonic_time
except ImportError:
monotonic_time = None

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"""Lowest-common-denominator implementations of platform functionality."""
from __future__ import absolute_import, division, print_function, with_statement
import errno
import socket
from . import interface
class Waker(interface.Waker):
"""Create an OS independent asynchronous pipe.
For use on platforms that don't have os.pipe() (or where pipes cannot
be passed to select()), but do have sockets. This includes Windows
and Jython.
"""
def __init__(self):
# Based on Zope async.py: http://svn.zope.org/zc.ngi/trunk/src/zc/ngi/async.py
self.writer = socket.socket()
# Disable buffering -- pulling the trigger sends 1 byte,
# and we want that sent immediately, to wake up ASAP.
self.writer.setsockopt(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)
count = 0
while 1:
count += 1
# Bind to a local port; for efficiency, let the OS pick
# a free port for us.
# Unfortunately, stress tests showed that we may not
# be able to connect to that port ("Address already in
# use") despite that the OS picked it. This appears
# to be a race bug in the Windows socket implementation.
# So we loop until a connect() succeeds (almost always
# on the first try). See the long thread at
# http://mail.zope.org/pipermail/zope/2005-July/160433.html
# for hideous details.
a = socket.socket()
a.bind(("127.0.0.1", 0))
a.listen(1)
connect_address = a.getsockname() # assigned (host, port) pair
try:
self.writer.connect(connect_address)
break # success
except socket.error as detail:
if (not hasattr(errno, 'WSAEADDRINUSE') or
detail[0] != errno.WSAEADDRINUSE):
# "Address already in use" is the only error
# I've seen on two WinXP Pro SP2 boxes, under
# Pythons 2.3.5 and 2.4.1.
raise
# (10048, 'Address already in use')
# assert count <= 2 # never triggered in Tim's tests
if count >= 10: # I've never seen it go above 2
a.close()
self.writer.close()
raise socket.error("Cannot bind trigger!")
# Close `a` and try again. Note: I originally put a short
# sleep() here, but it didn't appear to help or hurt.
a.close()
self.reader, addr = a.accept()
self.reader.setblocking(0)
self.writer.setblocking(0)
a.close()
self.reader_fd = self.reader.fileno()
def fileno(self):
return self.reader.fileno()
def write_fileno(self):
return self.writer.fileno()
def wake(self):
try:
self.writer.send(b"x")
except (IOError, socket.error):
pass
def consume(self):
try:
while True:
result = self.reader.recv(1024)
if not result:
break
except (IOError, socket.error):
pass
def close(self):
self.reader.close()
self.writer.close()

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#!/usr/bin/env python
#
# Copyright 2011 Facebook
#
# 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.
"""Interfaces for platform-specific functionality.
This module exists primarily for documentation purposes and as base classes
for other tornado.platform modules. Most code should import the appropriate
implementation from `tornado.platform.auto`.
"""
from __future__ import absolute_import, division, print_function, with_statement
def set_close_exec(fd):
"""Sets the close-on-exec bit (``FD_CLOEXEC``)for a file descriptor."""
raise NotImplementedError()
class Waker(object):
"""A socket-like object that can wake another thread from ``select()``.
The `~tornado.ioloop.IOLoop` will add the Waker's `fileno()` to
its ``select`` (or ``epoll`` or ``kqueue``) calls. When another
thread wants to wake up the loop, it calls `wake`. Once it has woken
up, it will call `consume` to do any necessary per-wake cleanup. When
the ``IOLoop`` is closed, it closes its waker too.
"""
def fileno(self):
"""Returns the read file descriptor for this waker.
Must be suitable for use with ``select()`` or equivalent on the
local platform.
"""
raise NotImplementedError()
def write_fileno(self):
"""Returns the write file descriptor for this waker."""
raise NotImplementedError()
def wake(self):
"""Triggers activity on the waker's file descriptor."""
raise NotImplementedError()
def consume(self):
"""Called after the listen has woken up to do any necessary cleanup."""
raise NotImplementedError()
def close(self):
"""Closes the waker's file descriptor(s)."""
raise NotImplementedError()

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#!/usr/bin/env python
#
# Copyright 2011 Facebook
#
# 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.
"""Posix implementations of platform-specific functionality."""
from __future__ import absolute_import, division, print_function, with_statement
import fcntl
import os
from . import interface
def set_close_exec(fd):
flags = fcntl.fcntl(fd, fcntl.F_GETFD)
fcntl.fcntl(fd, fcntl.F_SETFD, flags | fcntl.FD_CLOEXEC)
def _set_nonblocking(fd):
flags = fcntl.fcntl(fd, fcntl.F_GETFL)
fcntl.fcntl(fd, fcntl.F_SETFL, flags | os.O_NONBLOCK)
class Waker(interface.Waker):
def __init__(self):
r, w = os.pipe()
_set_nonblocking(r)
_set_nonblocking(w)
set_close_exec(r)
set_close_exec(w)
self.reader = os.fdopen(r, "rb", 0)
self.writer = os.fdopen(w, "wb", 0)
def fileno(self):
return self.reader.fileno()
def write_fileno(self):
return self.writer.fileno()
def wake(self):
try:
self.writer.write(b"x")
except IOError:
pass
def consume(self):
try:
while True:
result = self.reader.read()
if not result:
break
except IOError:
pass
def close(self):
self.reader.close()
self.writer.close()

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# NOTE: win32 support is currently experimental, and not recommended
# for production use.
from __future__ import absolute_import, division, print_function, with_statement
import ctypes
import ctypes.wintypes
# See: http://msdn.microsoft.com/en-us/library/ms724935(VS.85).aspx
SetHandleInformation = ctypes.windll.kernel32.SetHandleInformation
SetHandleInformation.argtypes = (ctypes.wintypes.HANDLE, ctypes.wintypes.DWORD, ctypes.wintypes.DWORD)
SetHandleInformation.restype = ctypes.wintypes.BOOL
HANDLE_FLAG_INHERIT = 0x00000001
def set_close_exec(fd):
success = SetHandleInformation(fd, HANDLE_FLAG_INHERIT, 0)
if not success:
raise ctypes.GetLastError()

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#!/usr/bin/env python
#
# Copyright 2010 Facebook
#
# 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.
"""`StackContext` allows applications to maintain threadlocal-like state
that follows execution as it moves to other execution contexts.
The motivating examples are to eliminate the need for explicit
``async_callback`` wrappers (as in `tornado.web.RequestHandler`), and to
allow some additional context to be kept for logging.
This is slightly magic, but it's an extension of the idea that an
exception handler is a kind of stack-local state and when that stack
is suspended and resumed in a new context that state needs to be
preserved. `StackContext` shifts the burden of restoring that state
from each call site (e.g. wrapping each `.AsyncHTTPClient` callback
in ``async_callback``) to the mechanisms that transfer control from
one context to another (e.g. `.AsyncHTTPClient` itself, `.IOLoop`,
thread pools, etc).
Example usage::
@contextlib.contextmanager
def die_on_error():
try:
yield
except Exception:
logging.error("exception in asynchronous operation",exc_info=True)
sys.exit(1)
with StackContext(die_on_error):
# Any exception thrown here *or in callback and its descendants*
# will cause the process to exit instead of spinning endlessly
# in the ioloop.
http_client.fetch(url, callback)
ioloop.start()
Most applications shouldn't have to work with `StackContext` directly.
Here are a few rules of thumb for when it's necessary:
* If you're writing an asynchronous library that doesn't rely on a
stack_context-aware library like `tornado.ioloop` or `tornado.iostream`
(for example, if you're writing a thread pool), use
`.stack_context.wrap()` before any asynchronous operations to capture the
stack context from where the operation was started.
* If you're writing an asynchronous library that has some shared
resources (such as a connection pool), create those shared resources
within a ``with stack_context.NullContext():`` block. This will prevent
``StackContexts`` from leaking from one request to another.
* If you want to write something like an exception handler that will
persist across asynchronous calls, create a new `StackContext` (or
`ExceptionStackContext`), and make your asynchronous calls in a ``with``
block that references your `StackContext`.
"""
from __future__ import absolute_import, division, print_function, with_statement
import sys
import threading
from .util import raise_exc_info
class StackContextInconsistentError(Exception):
pass
class _State(threading.local):
def __init__(self):
self.contexts = (tuple(), None)
_state = _State()
class StackContext(object):
"""Establishes the given context as a StackContext that will be transferred.
Note that the parameter is a callable that returns a context
manager, not the context itself. That is, where for a
non-transferable context manager you would say::
with my_context():
StackContext takes the function itself rather than its result::
with StackContext(my_context):
The result of ``with StackContext() as cb:`` is a deactivation
callback. Run this callback when the StackContext is no longer
needed to ensure that it is not propagated any further (note that
deactivating a context does not affect any instances of that
context that are currently pending). This is an advanced feature
and not necessary in most applications.
"""
def __init__(self, context_factory):
self.context_factory = context_factory
self.contexts = []
self.active = True
def _deactivate(self):
self.active = False
# StackContext protocol
def enter(self):
context = self.context_factory()
self.contexts.append(context)
context.__enter__()
def exit(self, type, value, traceback):
context = self.contexts.pop()
context.__exit__(type, value, traceback)
# Note that some of this code is duplicated in ExceptionStackContext
# below. ExceptionStackContext is more common and doesn't need
# the full generality of this class.
def __enter__(self):
self.old_contexts = _state.contexts
self.new_contexts = (self.old_contexts[0] + (self,), self)
_state.contexts = self.new_contexts
try:
self.enter()
except:
_state.contexts = self.old_contexts
raise
return self._deactivate
def __exit__(self, type, value, traceback):
try:
self.exit(type, value, traceback)
finally:
final_contexts = _state.contexts
_state.contexts = self.old_contexts
# Generator coroutines and with-statements with non-local
# effects interact badly. Check here for signs of
# the stack getting out of sync.
# Note that this check comes after restoring _state.context
# so that if it fails things are left in a (relatively)
# consistent state.
if final_contexts is not self.new_contexts:
raise StackContextInconsistentError(
'stack_context inconsistency (may be caused by yield '
'within a "with StackContext" block)')
# Break up a reference to itself to allow for faster GC on CPython.
self.new_contexts = None
class ExceptionStackContext(object):
"""Specialization of StackContext for exception handling.
The supplied ``exception_handler`` function will be called in the
event of an uncaught exception in this context. The semantics are
similar to a try/finally clause, and intended use cases are to log
an error, close a socket, or similar cleanup actions. The
``exc_info`` triple ``(type, value, traceback)`` will be passed to the
exception_handler function.
If the exception handler returns true, the exception will be
consumed and will not be propagated to other exception handlers.
"""
def __init__(self, exception_handler):
self.exception_handler = exception_handler
self.active = True
def _deactivate(self):
self.active = False
def exit(self, type, value, traceback):
if type is not None:
return self.exception_handler(type, value, traceback)
def __enter__(self):
self.old_contexts = _state.contexts
self.new_contexts = (self.old_contexts[0], self)
_state.contexts = self.new_contexts
return self._deactivate
def __exit__(self, type, value, traceback):
try:
if type is not None:
return self.exception_handler(type, value, traceback)
finally:
final_contexts = _state.contexts
_state.contexts = self.old_contexts
if final_contexts is not self.new_contexts:
raise StackContextInconsistentError(
'stack_context inconsistency (may be caused by yield '
'within a "with StackContext" block)')
# Break up a reference to itself to allow for faster GC on CPython.
self.new_contexts = None
class NullContext(object):
"""Resets the `StackContext`.
Useful when creating a shared resource on demand (e.g. an
`.AsyncHTTPClient`) where the stack that caused the creating is
not relevant to future operations.
"""
def __enter__(self):
self.old_contexts = _state.contexts
_state.contexts = (tuple(), None)
def __exit__(self, type, value, traceback):
_state.contexts = self.old_contexts
def _remove_deactivated(contexts):
"""Remove deactivated handlers from the chain"""
# Clean ctx handlers
stack_contexts = tuple([h for h in contexts[0] if h.active])
# Find new head
head = contexts[1]
while head is not None and not head.active:
head = head.old_contexts[1]
# Process chain
ctx = head
while ctx is not None:
parent = ctx.old_contexts[1]
while parent is not None:
if parent.active:
break
ctx.old_contexts = parent.old_contexts
parent = parent.old_contexts[1]
ctx = parent
return (stack_contexts, head)
def wrap(fn):
"""Returns a callable object that will restore the current `StackContext`
when executed.
Use this whenever saving a callback to be executed later in a
different execution context (either in a different thread or
asynchronously in the same thread).
"""
# Check if function is already wrapped
if fn is None or hasattr(fn, '_wrapped'):
return fn
# Capture current stack head
# TODO: Any other better way to store contexts and update them in wrapped function?
cap_contexts = [_state.contexts]
if not cap_contexts[0][0] and not cap_contexts[0][1]:
# Fast path when there are no active contexts.
def null_wrapper(*args, **kwargs):
try:
current_state = _state.contexts
_state.contexts = cap_contexts[0]
return fn(*args, **kwargs)
finally:
_state.contexts = current_state
null_wrapper._wrapped = True
return null_wrapper
def wrapped(*args, **kwargs):
ret = None
try:
# Capture old state
current_state = _state.contexts
# Remove deactivated items
cap_contexts[0] = contexts = _remove_deactivated(cap_contexts[0])
# Force new state
_state.contexts = contexts
# Current exception
exc = (None, None, None)
top = None
# Apply stack contexts
last_ctx = 0
stack = contexts[0]
# Apply state
for n in stack:
try:
n.enter()
last_ctx += 1
except:
# Exception happened. Record exception info and store top-most handler
exc = sys.exc_info()
top = n.old_contexts[1]
# Execute callback if no exception happened while restoring state
if top is None:
try:
ret = fn(*args, **kwargs)
except:
exc = sys.exc_info()
top = contexts[1]
# If there was exception, try to handle it by going through the exception chain
if top is not None:
exc = _handle_exception(top, exc)
else:
# Otherwise take shorter path and run stack contexts in reverse order
while last_ctx > 0:
last_ctx -= 1
c = stack[last_ctx]
try:
c.exit(*exc)
except:
exc = sys.exc_info()
top = c.old_contexts[1]
break
else:
top = None
# If if exception happened while unrolling, take longer exception handler path
if top is not None:
exc = _handle_exception(top, exc)
# If exception was not handled, raise it
if exc != (None, None, None):
raise_exc_info(exc)
finally:
_state.contexts = current_state
return ret
wrapped._wrapped = True
return wrapped
def _handle_exception(tail, exc):
while tail is not None:
try:
if tail.exit(*exc):
exc = (None, None, None)
except:
exc = sys.exc_info()
tail = tail.old_contexts[1]
return exc
def run_with_stack_context(context, func):
"""Run a coroutine ``func`` in the given `StackContext`.
It is not safe to have a ``yield`` statement within a ``with StackContext``
block, so it is difficult to use stack context with `.gen.coroutine`.
This helper function runs the function in the correct context while
keeping the ``yield`` and ``with`` statements syntactically separate.
Example::
@gen.coroutine
def incorrect():
with StackContext(ctx):
# ERROR: this will raise StackContextInconsistentError
yield other_coroutine()
@gen.coroutine
def correct():
yield run_with_stack_context(StackContext(ctx), other_coroutine)
.. versionadded:: 3.1
"""
with context:
return func()

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"""Miscellaneous utility functions and classes.
This module is used internally by Tornado. It is not necessarily expected
that the functions and classes defined here will be useful to other
applications, but they are documented here in case they are.
The one public-facing part of this module is the `Configurable` class
and its `~Configurable.configure` method, which becomes a part of the
interface of its subclasses, including `.AsyncHTTPClient`, `.IOLoop`,
and `.Resolver`.
"""
from __future__ import absolute_import, division, print_function, with_statement
import sys
# Fake unicode literal support: Python 3.2 doesn't have the u'' marker for
# literal strings, and alternative solutions like "from __future__ import
# unicode_literals" have other problems (see PEP 414). u() can be applied
# to ascii strings that include \u escapes (but they must not contain
# literal non-ascii characters).
if not isinstance(b'', type('')):
def u(s):
return s
unicode_type = str
basestring_type = str
else:
def u(s):
return s.decode('unicode_escape')
# These names don't exist in py3, so use noqa comments to disable
# warnings in flake8.
unicode_type = unicode # noqa
basestring_type = basestring # noqa
def import_object(name):
"""Imports an object by name.
import_object('x') is equivalent to 'import x'.
import_object('x.y.z') is equivalent to 'from x.y import z'.
>>> import tornado.escape
>>> import_object('tornado.escape') is tornado.escape
True
>>> import_object('tornado.escape.utf8') is tornado.escape.utf8
True
>>> import_object('tornado') is tornado
True
>>> import_object('tornado.missing_module')
Traceback (most recent call last):
...
ImportError: No module named missing_module
"""
if isinstance(name, unicode_type) and str is not unicode_type:
# On python 2 a byte string is required.
name = name.encode('utf-8')
if name.count('.') == 0:
return __import__(name, None, None)
parts = name.split('.')
obj = __import__('.'.join(parts[:-1]), None, None, [parts[-1]], 0)
try:
return getattr(obj, parts[-1])
except AttributeError:
raise ImportError("No module named %s" % parts[-1])
# Deprecated alias that was used before we dropped py25 support.
# Left here in case anyone outside Tornado is using it.
bytes_type = bytes
if sys.version_info > (3,):
exec("""
def raise_exc_info(exc_info):
raise exc_info[1].with_traceback(exc_info[2])
def exec_in(code, glob, loc=None):
if isinstance(code, str):
code = compile(code, '<string>', 'exec', dont_inherit=True)
exec(code, glob, loc)
""")
else:
exec("""
def raise_exc_info(exc_info):
raise exc_info[0], exc_info[1], exc_info[2]
def exec_in(code, glob, loc=None):
if isinstance(code, basestring):
# exec(string) inherits the caller's future imports; compile
# the string first to prevent that.
code = compile(code, '<string>', 'exec', dont_inherit=True)
exec code in glob, loc
""")
def errno_from_exception(e):
"""Provides the errno from an Exception object.
There are cases that the errno attribute was not set so we pull
the errno out of the args but if someone instantiates an Exception
without any args you will get a tuple error. So this function
abstracts all that behavior to give you a safe way to get the
errno.
"""
if hasattr(e, 'errno'):
return e.errno
elif e.args:
return e.args[0]
else:
return None
class Configurable(object):
"""Base class for configurable interfaces.
A configurable interface is an (abstract) class whose constructor
acts as a factory function for one of its implementation subclasses.
The implementation subclass as well as optional keyword arguments to
its initializer can be set globally at runtime with `configure`.
By using the constructor as the factory method, the interface
looks like a normal class, `isinstance` works as usual, etc. This
pattern is most useful when the choice of implementation is likely
to be a global decision (e.g. when `~select.epoll` is available,
always use it instead of `~select.select`), or when a
previously-monolithic class has been split into specialized
subclasses.
Configurable subclasses must define the class methods
`configurable_base` and `configurable_default`, and use the instance
method `initialize` instead of ``__init__``.
"""
__impl_class = None
__impl_kwargs = None
def __new__(cls, *args, **kwargs):
base = cls.configurable_base()
init_kwargs = {}
if cls is base:
impl = cls.configured_class()
if base.__impl_kwargs:
init_kwargs.update(base.__impl_kwargs)
else:
impl = cls
init_kwargs.update(kwargs)
instance = super(Configurable, cls).__new__(impl)
# initialize vs __init__ chosen for compatibility with AsyncHTTPClient
# singleton magic. If we get rid of that we can switch to __init__
# here too.
instance.initialize(*args, **init_kwargs)
return instance
@classmethod
def configurable_base(cls):
"""Returns the base class of a configurable hierarchy.
This will normally return the class in which it is defined.
(which is *not* necessarily the same as the cls classmethod parameter).
"""
raise NotImplementedError()
@classmethod
def configurable_default(cls):
"""Returns the implementation class to be used if none is configured."""
raise NotImplementedError()
def initialize(self):
"""Initialize a `Configurable` subclass instance.
Configurable classes should use `initialize` instead of ``__init__``.
.. versionchanged:: 4.2
Now accepts positional arguments in addition to keyword arguments.
"""
@classmethod
def configure(cls, impl, **kwargs):
"""Sets the class to use when the base class is instantiated.
Keyword arguments will be saved and added to the arguments passed
to the constructor. This can be used to set global defaults for
some parameters.
"""
base = cls.configurable_base()
if isinstance(impl, (unicode_type, bytes)):
impl = import_object(impl)
if impl is not None and not issubclass(impl, cls):
raise ValueError("Invalid subclass of %s" % cls)
base.__impl_class = impl
base.__impl_kwargs = kwargs
@classmethod
def configured_class(cls):
"""Returns the currently configured class."""
base = cls.configurable_base()
if cls.__impl_class is None:
base.__impl_class = cls.configurable_default()
return base.__impl_class
@classmethod
def _save_configuration(cls):
base = cls.configurable_base()
return (base.__impl_class, base.__impl_kwargs)
@classmethod
def _restore_configuration(cls, saved):
base = cls.configurable_base()
base.__impl_class = saved[0]
base.__impl_kwargs = saved[1]
def timedelta_to_seconds(td):
"""Equivalent to td.total_seconds() (introduced in python 2.7)."""
return (td.microseconds + (td.seconds + td.days * 24 * 3600) * 10 ** 6) / float(10 ** 6)