abstractmethod get_data(path) Reads path as a binary file and returns the bytes from it.

AbstractEventLoop.create_task(coro) Schedule the execution of a coroutine object: wrap it in a future. Return a Task object. Third-party event loops can use their own subclass of Task for interoperability. In this case, the result type is a subclass of Task. This method was added in Python 3.4.2. Use the async() function to support also older Python versions. New in version 3.4.2.

errcheck Assign a Python function or another callable to this attribute. The callable will be called with three or more arguments: callable(result, func, arguments) result is what the foreign function returns, as specified by the restype attribute. func is the foreign function object itself, this allows reusing the same callable object to check or post process the results of several functions. arguments is a tuple containing the parameters originally passed to the function call, this allo

os.path.getmtime(path) Return the time of last modification of path. The return value is a number giving the number of seconds since the epoch (see the time module). Raise OSError if the file does not exist or is inaccessible. If os.stat_float_times() returns True, the result is a floating point number.

assertNotIsInstance(obj, cls, msg=None) Test that obj is (or is not) an instance of cls (which can be a class or a tuple of classes, as supported by isinstance()). To check for the exact type, use assertIs(type(obj), cls). New in version 3.2.

hmac.new(key, msg=None, digestmod=None) Return a new hmac object. key is a bytes or bytearray object giving the secret key. If msg is present, the method call update(msg) is made. digestmod is the digest name, digest constructor or module for the HMAC object to use. It supports any name suitable to hashlib.new() and defaults to the hashlib.md5 constructor. Changed in version 3.4: Parameter key can be a bytes or bytearray object. Parameter msg can be of any type supported by hashlib. Paramet

class tracemalloc.StatisticDiff Statistic difference on memory allocations between an old and a new Snapshot instance. Snapshot.compare_to() returns a list of StatisticDiff instances. See also the Statistic class. count Number of memory blocks in the new snapshot (int): 0 if the memory blocks have been released in the new snapshot. count_diff Difference of number of memory blocks between the old and the new snapshots (int): 0 if the memory blocks have been allocated in the new snaps

notify(n=1) By default, wake up one thread waiting on this condition, if any. If the calling thread has not acquired the lock when this method is called, a RuntimeError is raised. This method wakes up at most n of the threads waiting for the condition variable; it is a no-op if no threads are waiting. The current implementation wakes up exactly n threads, if at least n threads are waiting. However, it’s not safe to rely on this behavior. A future, optimized implementation may occasionally wa

copy.copy(x) Return a shallow copy of x.

class mailbox.Babyl(path, factory=None, create=True) A subclass of Mailbox for mailboxes in Babyl format. Parameter factory is a callable object that accepts a file-like message representation (which behaves as if opened in binary mode) and returns a custom representation. If factory is None, BabylMessage is used as the default message representation. If create is True, the mailbox is created if it does not exist. Babyl is a single-file mailbox format used by the Rmail mail user agent includ