Metadata-Version: 2.4
Name: hiro
Version: 1.1.1
Summary: time manipulation utilities for testing in python
Home-page: http://hiro.readthedocs.org
Author: Ali-Akber Saifee
Author-email: ali@indydevs.org.com
License: MIT
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: End Users/Desktop
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Software Development :: Testing
Classifier: Topic :: Software Development :: Libraries
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: Implementation :: PyPy
License-File: LICENSE
Dynamic: author
Dynamic: author-email
Dynamic: classifier
Dynamic: description
Dynamic: home-page
Dynamic: license
Dynamic: license-file
Dynamic: summary

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********************************************************
Hiro - time manipulation utilities for testing in python
********************************************************
|ci| |coveralls| |pypi| |docs| |license|

   Yatta!

   -- Hiro Nakamura



====================
Hiro context manager
====================


Timeline context
================
The ``hiro.Timeline`` context manager hijacks a few commonly used time functions
to allow time manipulation within its context. Specifically ``time.sleep``, ``time.time``,
``time.gmtime``, ``datetime.now``, ``datetime.utcnow`` and ``datetime.today`` behave according the configuration of the context.

The context provides the following manipulation options:

* ``rewind``: accepts seconds as an integer or a ``timedelta`` object.
* ``forward``: accepts seconds as an integer or a ``timedelta`` object.
* ``freeze``: accepts a floating point time since epoch or ``datetime`` or ``date`` object to freeze the time at.
* ``unfreeze``: resumes time from the point it was frozen at.
* ``scale``: accepts a floating point to accelerate/decelerate time by. ``> 1 = acceleration,  < 1 = deceleration``
* ``reset``: resets all time alterations.

.. code-block:: python

    import hiro
    from datetime import timedelta, datetime
    import time

    datetime.now().isoformat()
    # OUT: '2013-12-01T06:55:41.706060'
    with hiro.Timeline() as timeline:

        # forward by an hour
        timeline.forward(60*60)
        datetime.now().isoformat()
        # OUT: '2013-12-01T07:55:41.707383'

        # jump forward by 10 minutes
        timeline.forward(timedelta(minutes=10))
        datetime.now().isoformat()
        # OUT: '2013-12-01T08:05:41.707425'

        # jump to yesterday and freeze
        timeline.freeze(datetime.now() - timedelta(hours=24))
        datetime.now().isoformat()
        # OUT: '2013-11-30T09:15:41'

        timeline.scale(5) # scale time by 5x
        time.sleep(5) # this will effectively only sleep for 1 second

        # since time is frozen the sleep has no effect
        datetime.now().isoformat()
        # OUT: '2013-11-30T09:15:41'

        timeline.rewind(timedelta(days=365))

        datetime.now().isoformat()
        # OUT: '2012-11-30T09:15:41'



To reduce the amount of statements inside the context, certain timeline setup
tasks can be done via the constructor and/or by using the fluent interface.

.. code-block:: python

    import hiro
    import time
    from datetime import timedelta, datetime

    start_point = datetime(2012,12,12,0,0,0)
    my_timeline = hiro.Timeline(scale=5).forward(60*60).freeze()
    with my_timeline as timeline:
        print datetime.now()
        # OUT: '2012-12-12 01:00:00.000315'
        time.sleep(5) # effectively 1 second
        # no effect as time is frozen
        datetime.now()
        # OUT: '2012-12-12 01:00:00.000315'
        timeline.unfreeze()
        # back to starting point
        datetime.now()
        # OUT: '2012-12-12 01:00:00.000317'
        time.sleep(5) # effectively 1 second
        # takes effect (+5 seconds)
        datetime.now()
        # OUT: '2012-12-12 01:00:05.003100'


``Timeline`` can additionally be used as a decorator

.. code-block:: python

    import hiro
    import time, datetime

    @hiro.Timeline(scale=50000)
    def sleeper():
        datetime.datetime.now()
        # OUT: '2013-11-30 14:27:43.409291'
        time.sleep(60*60) # effectively 72 ms
        datetime.datetime.now()
        # OUT: '2013-11-30 15:28:36.240675'

    @hiro.Timeline()
    def sleeper_aware(timeline):
        datetime.datetime.now()
        # OUT: '2013-11-30 14:27:43.409291'
        timeline.forward(60*60)
        datetime.datetime.now()
        # OUT: '2013-11-30 15:28:36.240675'

==============
Hiro executors
==============

In order to execute certain callables within a ``Timeline`` context, two
shortcut functions are provided.

* ``run_sync(factor=1, callable, *args, **kwargs)``
* ``run_async(factor=1, callable, *args, **kwargs)``

Both functions return a ``ScaledRunner`` object which provides the following methods

* ``get_execution_time``: The actual execution time of the ``callable``
* ``get_response`` (will either return the actual return value of ``callable`` or raise the exception that was thrown)

``run_async`` returns a derived class of ``ScaledRunner`` that additionally provides the following methods

* ``is_running``: ``True/False`` depending on whether the callable has completed execution
* ``join``: blocks until the ``callable`` completes execution


Example
=======

.. code-block:: python


    import hiro
    import time

    def _slow_function(n):
        time.sleep(n)
        if n > 10:
            raise RuntimeError()
        return n

    runner = hiro.run_sync(10, _slow_function, 10)
    runner.get_response()
    # OUT: 10

    # due to the scale factor 10 it only took 1s to execute
    runner.get_execution_time()
    # OUT: 1.1052658557891846

    runner = hiro.run_async(10, _slow_function, 11)
    runner.is_running()
    # OUT: True
    runner.join()
    runner.get_execution_time()
    # OUT: 1.1052658557891846
    runner.get_response()
    # OUT: Traceback (most recent call last):
    # ....
    # OUT:   File "<input>", line 4, in _slow_function
    # OUT: RuntimeError



.. :changelog:

Changelog
=========

v1.1.1
------
Release Date: 2023-01-11

Chore:
  * Fix github release action

v1.1.0
------
Release Date: 2023-01-11

Features:
  * Patch time.time_ns, time.monotonic, time.monotonic_ns, time.localtime

Bug Fix:
  * Ensure time.gmtime and time.localtime work with 0 values
  * Ensure Timeline can be instantiated with start=0 to reflect  time=0
  * Improve naming of threaded classes/functions

Deprecation:
  * Deprecated `run_async` in favor of `run_threaded`

v1.0.2
------
Release Date: 2023-01-11

Chores:
  * Update documentation theme

v1.0.1
------
Release Date: 2023-01-11

Compatibility:
  * Update package classifiers to reflect python version support

v1.0.0
------
Release Date: 2023-01-10

Compatibility:
  * Drop support for python < 3.7
  * Update sources to not need six for compatibility

Chores:
  * Standardize linting
  * Add Asia/Shanghai to CI matrix


v0.5.1
------
Release Date: 2019-10-10

Code cleanup

v0.5
----
Release Date: 2017-07-26

Bug Fix:
  * Account for microsecond resolution (`Pull Request 3 <https://github.com/alisaifee/hiro/pull/3>`_)

v0.1.8
------
Release Date: 2015-06-07

* Add Python 3.x support

v0.1.5
------
Release Date: 2014-04-03

Bug Fix:
  * Imports from time weren't being patched.

v0.1.3
------
Release Date: 2014-04-01

Enhanced timeline decorator to pass generated timeline
to decorated function

v0.1.2
------
Release Date: 2014-02-20

* Added blacklist for unpatchable modules
* CI improvements
* removed ScaledTimeline

v0.1.1
------
Release Date: 2013-12-05

Added pypy support

v0.0.3
------
Release Date: 2013-11-30

Allow ScaledTimeline to be used as a decorator

v0.0.1
------
Release Date: 2013-11-30

Initial Release






