def run(which):
    print("running all tests...")
    summary = pandas.DataFrame(columns=["pass", "info", "timing"])

    # Test chromosome ends
    if len(which)==0 or "chrom_ends" in which:
        summary.loc["chrom_ends"] = _runTest(runTestIssues, "issues")

    # Run the demos
    if len(which)==0 or "demos" in which:
        summary.loc["demos"] = _runTest(testDemos.run, "demos")

    # Run regression testing on ref/alt/amb counts
    if len(which)==0 or "counts" in which:
        summary.loc["counts"] = _runTest(runTestCounts, "counts")

    # Run the render regression tests
    if len(which)==0 or "rendering" in which:
        summary.loc["rendering"] = _runTest(rendertest.run, "rendering")    

    summary["timing"] = summary["timing"].apply(lambda x: "{}".format(datetime.timedelta(seconds=int(x))))
    print(summary)

    saveTimingInfo(summary) 

def get_kms_auth_token(session, bless_config, lambda_regional_config):
    logger.info("Requesting new KMS auth token in %s", lambda_regional_config["aws_region"])
    token_not_before = datetime.datetime.utcnow() - datetime.timedelta(minutes=1)
    token_not_after = token_not_before + datetime.timedelta(hours=1)
    token = dict(not_before=token_not_before.strftime("%Y%m%dT%H%M%SZ"),
                 not_after=token_not_after.strftime("%Y%m%dT%H%M%SZ"))
    encryption_context = {
        "from": session.resource("iam").CurrentUser().user_name,
        "to": bless_config["lambda_config"]["function_name"],
        "user_type": "user"
    }
    kms = session.client('kms', region_name=lambda_regional_config["aws_region"])
    res = kms.encrypt(KeyId=lambda_regional_config["kms_auth_key_id"],
                      Plaintext=json.dumps(token),
                      EncryptionContext=encryption_context)
    return base64.b64encode(res["CiphertextBlob"]).decode() 

def describe_bucket_worker(bucket):
    bucket.LocationConstraint = clients.s3.get_bucket_location(Bucket=bucket.name)["LocationConstraint"]
    cloudwatch = resources.cloudwatch
    bucket_region = bucket.LocationConstraint or "us-east-1"
    if bucket_region != cloudwatch.meta.client.meta.region_name:
        cloudwatch = boto3.Session(region_name=bucket_region).resource("cloudwatch")
    data = get_cloudwatch_metric_stats("AWS/S3", "NumberOfObjects",
                                       start_time=datetime.utcnow() - timedelta(days=2),
                                       end_time=datetime.utcnow(), period=3600, BucketName=bucket.name,
                                       StorageType="AllStorageTypes", resource=cloudwatch)
    bucket.NumberOfObjects = int(data["Datapoints"][-1]["Average"]) if data["Datapoints"] else None
    data = get_cloudwatch_metric_stats("AWS/S3", "BucketSizeBytes",
                                       start_time=datetime.utcnow() - timedelta(days=2),
                                       end_time=datetime.utcnow(), period=3600, BucketName=bucket.name,
                                       StorageType="StandardStorage", resource=cloudwatch)
    bucket.BucketSizeBytes = format_number(data["Datapoints"][-1]["Average"]) if data["Datapoints"] else None
    return bucket 

def cluster_memory_reservation(cwClient, clusterName):
    # Return cluster mem reservation average per minute cloudwatch metric
    try:
        response = cwClient.get_metric_statistics( 
            Namespace='AWS/ECS',
            MetricName='MemoryReservation',
            Dimensions=[
                {
                    'Name': 'ClusterName',
                    'Value': clusterName
                },
            ],
            StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=120),
            EndTime=datetime.datetime.utcnow(),
            Period=60,
            Statistics=['Average']
        )
        return response['Datapoints'][0]['Average']

    except Exception:
        logger({'ClusterMemoryError': 'Could not retrieve mem reservation for {}'.format(clusterName)}) 

def ec2_avg_cpu_utilization(clusterName, asgData, cwclient):
    asg = find_asg(clusterName, asgData)
    response = cwclient.get_metric_statistics( 
        Namespace='AWS/EC2',
        MetricName='CPUUtilization',
        Dimensions=[
            {
                'Name': 'AutoScalingGroupName',
                'Value': asg
            },
        ],
        StartTime=datetime.datetime.utcnow() - datetime.timedelta(seconds=120),
        EndTime=datetime.datetime.utcnow(),
        Period=60,
        Statistics=['Average']
    )
    return response['Datapoints'][0]['Average'] 

def natural_time(timedelta, precision=2, default='NA'):
    # Convert timedelta to seconds
    remaining = timedelta
    if isinstance(timedelta, datetime.timedelta):
        remaining = (timedelta.days * 86400) + timedelta.seconds
    # Create and return the natural string
    rtnvals = []
    for name, seconds in SECONDS:
        if remaining > seconds * 2:
            value = int(float(remaining) / float(seconds))
            remaining = remaining - (value * seconds)
            rtnvals.append('%s %s' % (value, name))
            precision -= 1
        if precision <= 0 or remaining <= 0:
            break
    if not rtnvals:
        rtnvals.append('0 %s' % SECONDS[-1][0])
    rtnval = ', '.join(rtnvals)
    return rtnval 

def update(self):
        self.data['events'] = []
        self.tzutc = tz.tzutc()
        self.tzlocal = tz.tzlocal()
        urls, colors = [], {}
        for cal in self._iter_calendars():
            urls.append(cal.url)
            colors[cal.url] = cal.color
        for result in utils.iter_responses(urls, timeout=5):
            response = result.get('response')
            if response:
                ical = Calendar.from_ical(response.read().decode('utf-8'))
                color = colors[result.get('url')]
                self.data['events'] += self._parse_events(ical, color)
        self.data['events'] = sorted(self.data['events'], key=lambda e:e['start'])
        # Calculate time to next event
        now = datetime.datetime.now()
        next = [e for e in self.data['events'] if e['start'] > now][0]['start'] if self.data['events'] else self.DELTANONE
        if next < now + datetime.timedelta(seconds=self.DEFAULT_INTERVAL*1.5): self.data['next'] = 'Now'
        else: self.data['next'] = utils.natural_time(next-now, 1)
        super(Plugin, self).update() 

def _parse_events(self, ical, color):
        events = []
        today = datetime.datetime.combine(datetime.date.today(), datetime.time.min)
        title = ical.get('x-wr-calname', ical.get('version', ''))
        for event in ical.walk():
            if event.name == "VEVENT":
                start = self._event_start(event)
                if today <= start <= today + datetime.timedelta(days=14):
                    events.append({
                        'title': event.get('summary'),
                        'calendar': title,
                        'color': color,
                        'start': start,
                        'where': event.get('location'),
                        'status': event.get('description'),
                    })
        return events 

def save(self):
        """Save session data."""
        try:
            # If session data has never been loaded then it's never been
            #   accessed: no need to save it
            if self.loaded:
                t = datetime.timedelta(seconds=self.timeout * 60)
                expiration_time = self.now() + t
                if self.debug:
                    cherrypy.log('Saving session %r with expiry %s' %
                                 (self.id, expiration_time),
                                 'TOOLS.SESSIONS')
                self._save(expiration_time)
            else:
                if self.debug:
                    cherrypy.log(
                        'Skipping save of session %r (no session loaded).' %
                        self.id, 'TOOLS.SESSIONS')
        finally:
            if self.locked:
                # Always release the lock if the user didn't release it
                self.release_lock()
                if self.debug:
                    cherrypy.log('Lock released after save.', 'TOOLS.SESSIONS') 

def time_since_initialized(self):
        """
        The time elapsed since initialization as :class:`~datetime.timedelta`.

        This property is only implemented on devices, which need to store
        properties in the udev database.  On all other devices this property is
        simply zero :class:`~datetime.timedelta`.

        .. seealso:: :attr:`is_initialized`

        .. udevversion:: 165

        .. versionadded:: 0.8
        """
        microseconds = self._libudev.udev_device_get_usec_since_initialized(
            self)
        return timedelta(microseconds=microseconds) 

def test_should_refresh(self):
        """ Unit test _should_refresh private method """
        # without max age
        ref = Refreshable(None)
        self.assertFalse(ref._should_refresh())

        # with max age and no data
        ref = Refreshable(max_age=10)
        self.assertTrue(ref._should_refresh())

        # manually force refresh time
        ref._last_refresh_time = datetime.utcnow()
        # with max age and last refreshed date OK
        self.assertFalse(ref._should_refresh())

        # freeze_time will pretend 10 seconds have passed!
        with freeze_time(lambda: datetime.utcnow() + timedelta(seconds=10)):
            # with max age and last refreshed date KO
            self.assertTrue(ref._should_refresh()) 

def test_main_with_expiration_group(self):
        """ Test group case with expiration """
        group = SSMParameterGroup(max_age=300)
        param_1 = group.parameter("my_param_1")
        param_2 = group.parameter("my_param_2")
        param_3 = group.parameter("my_param_3")

        # individual params don't share max_age internally (for now)
        for param in (param_1, param_2, param_3):
            self.assertEqual(param._max_age, None)

        # force fetch
        group.refresh()

        # pretend time has passed (for the group)
        group._last_refresh_time = datetime.utcnow() - timedelta(seconds=301)
        self.assertTrue(group._should_refresh())
        self.assertTrue(param_1._should_refresh())
        self.assertTrue(param_2._should_refresh())
        self.assertTrue(param_3._should_refresh()) 

def CertificateExpired(cert, expires=0):
  """Checks a given certificate for expiry.

  Args:
    cert: Certificate object
    expires: int, the number of seconds to check for expiry. 0 means now
  Returns:
    boolean, whether the certificate will expire in expires seconds
  Raises:
    CertError: cert is a mandatory argument
    CertError: cert is not a PEM encoded x509 cert
  """
  expiry = datetime.datetime.today() + datetime.timedelta(seconds=expires)
  # enddate is a list of [str, (datetime|None)], we want the datetime object
  cert_end = cert.enddate[1]
  if cert_end:
    return expiry > cert_end
  else:
    raise CertError('Certificate has a malformed enddate.') 

def __init__(
        self,
        slug: str,
        expiry: datetime.timedelta = datetime.timedelta(days=7),
        src: str = None,
    ) -> None:
        # Generate a paste_id and a removal_id
        # Unless someone proves me wrong that I need to check for collisions
        # my famous last words will be that the odds are astronomically small
        self.slug = slug
        self.removal = utility.slug_create(auto_scale=False)

        self.pub_date = datetime.datetime.utcnow()
        self.chg_date = datetime.datetime.utcnow()

        self.src = src

        # The expires date is the pub_date with the delta of the expiry
        if expiry:
            self.exp_date = self.pub_date + expiry
        else:
            self.exp_date = None 

def add(lexer: str) -> None:
    """Add a paste to pinnwand's database from stdin."""
    from pinnwand import database
    from pinnwand import utility

    if lexer not in utility.list_languages():
        log.error("add: unknown lexer")
        return

    paste = database.Paste(utility.slug_create(), expiry=timedelta(days=1))
    file = database.File(paste.slug, sys.stdin.read(), lexer=lexer)
    paste.files.append(file)

    with database.session() as session:
        session.add(paste)
        session.commit()

        log.info("add: paste created: %s", paste.slug) 

def __init__(self, offset):
        self._offset = datetime.timedelta(seconds=offset * 60)
        if offset == 0:
            self._name = "Z"
        else:
            if offset > 0:
                self._name = "+"
            else:
                self._name = "-"
            self._name += str(int(offset / 60)).zfill(2)
            self._name += ":"
            self._name += str(offset % 60).zfill(2) 

def dst(self, dt):
        return datetime.timedelta(0) 

def __toLocal(cls, value):
        #Convert current time to local.
        if value.tzinfo is None:
            #If meter is not use time zone.
            return value
        timestamp = calendar.timegm(value.utctimetuple())
        local_dt = datetime.datetime.fromtimestamp(timestamp)
        assert value.resolution >= datetime.timedelta(microseconds=1)
        return local_dt.replace(microsecond=value.microsecond) 

def clean_trial(src_loc: Path, test_cmds: List[str]) -> timedelta:
    """Remove all existing cache files and run the test suite.

    Args:
        src_loc: the directory of the package for cache removal, may be a file
        test_cmds: test running commands for subprocess.run()

    Returns:
        None

    Raises:
        BaselineTestException: if the clean trial does not pass from the test run.
    """
    cache.remove_existing_cache_files(src_loc)

    LOGGER.info("Running clean trial")

    # clean trial will show output all the time for diagnostic purposes
    start = datetime.now()
    clean_run = subprocess.run(test_cmds, capture_output=False)
    end = datetime.now()

    if clean_run.returncode != 0:
        raise BaselineTestException(
            f"Clean trial does not pass, mutant tests will be meaningless.\n"
            f"Output: {str(clean_run.stdout)}"
        )

    return end - start


####################################################################################################
# MUTATION SAMPLE GENERATION
#################################################################################################### 

def mock_TrialTimes():
    """Mock Trial Time fixture for the CLI."""
    return TrialTimes(
        clean_trial_1=timedelta(days=0, seconds=6, microseconds=0),
        clean_trial_2=timedelta(days=0, seconds=6, microseconds=0),
        mutation_trials=timedelta(days=0, seconds=6, microseconds=0),
    ) 

def mock_results_summary(mock_trial_results):
    """Mock results summary from multiple trials."""
    return ResultsSummary(
        results=mock_trial_results,
        n_locs_identified=4,
        n_locs_mutated=4,
        total_runtime=timedelta(days=0, seconds=6, microseconds=0),
    ) 

def test_clean_trial_timedelta(binop_file, monkeypatch):
    """Clean trial results in a timedelta object."""

    def mock_subprocess_run(*args, **kwargs):
        return CompletedProcess(args="pytest", returncode=0)

    monkeypatch.setattr(subprocess, "run", mock_subprocess_run)

    result = run.clean_trial(binop_file.parent, ["pytest"])
    assert isinstance(result, timedelta) 

def process_game_data(self, game_date, num_days=1):
        game_days_list = list()
        for i in range(0, num_days):
            game_records = self._get_games_by_date(game_date)
            if game_records is not None:
                game_days_list.append((game_date, game_records))
            game_date = datetime.strftime(datetime.strptime(game_date, "%Y-%m-%d") + timedelta(days=1), "%Y-%m-%d")
        return game_days_list 

def check_nonce(request: LocalProxy, session: Session) -> bool:
    """check validity of nonce passed by the user."""
    try:
        id_ = request.headers['X-Authentication']
        nonce = session.query(Nonce).filter(Nonce.id == id_).one()
        present = datetime.now()
        present = present - nonce.timestamp
        session.delete(nonce)
        session.commit()
        if present > timedelta(0, 0, 0, 0, 1, 0, 0):
            return False
    except BaseException:
        return False
    return True 

def download_delta_data(self):
        """
        Get yesterday's data and append it to collection,
        this method is planned to be executed at each day's 8:30am to update the data.
        1. Connect to arctic and get the library.
        2. Get today's history data from tushare and strip the unused columns.
        3. Store the data to arctic.
        :return: None
        """

        self._init_coll()

        if self._coll_name in self._new_added_colls:
            return

        # 15:00 PM can get today data
        # start = latest_date + 1 day
        latest_date = self.get_data().index[-1]
        start = latest_date + dt.timedelta(days=1)
        start = dt.datetime.strftime(start, '%Y-%m-%d')

        his_data = ts.get_hist_data(
            code=self._coll_name,
            start=start,
            retry_count=5
        )

        # delta data is empty
        if len(his_data) == 0:
            logger.info(
                f'delta data of stock {self._coll_name} is empty, after {start}')
            return

        his_data = bdu.Utils.strip_unused_cols(his_data, *self._unused_cols)

        logger.info(f'got delta data of stock: {self._coll_name}, after {start}')
        self._library.append(self._coll_name, his_data) 

def next(self):

        if self.order:
            return

        if not self.position:
            if self.sma_s[0] > self.sma_l[0]:
                # Using the current close price to calculate the size to buy, but use
                # the next open price to executed, so it is possible that the order
                # can not be executed due to margin, so set the target to 0.8 instead
                # of 1.0 to reduce the odds of not being executed
                target_long = 0.8
                self.order = self.order_target_percent(target=target_long, valid=bt.Order.DAY)
                if self.datas[0].datetime.date() == dt.datetime.now().date() - dt.timedelta(days=1):
                    stock_id = self.params.ma_periods.get('stock_id')
                    action = 'buy'
                    bsu.Utils.log(
                        self.datas[0].datetime.date(),
                        f'Market Signal: stock {stock_id}, action: {action}, '
                        f'adjust position to {target_long:.2f}')
                    symbol = dt.datetime.now().strftime('%Y-%m-%d')
                    bsu.Utils.write_daily_alert(symbol, stock_id, action)
        else:
            if self.sma_s[0] <= self.sma_l[0]:
                target_short = 0.0
                self.order = self.order_target_percent(target=target_short, valid=bt.Order.DAY)
                if self.datas[0].datetime.date() == dt.datetime.now().date() - dt.timedelta(days=1):
                    stock_id = self.params.ma_periods.get('stock_id')
                    action = 'sell'
                    bsu.Utils.log(
                        self.datas[0].datetime.date(),
                        f'Market Signal: stock {stock_id}, action: {action}, '
                        f'adjust position to {target_short:.2f}')
                    symbol = dt.datetime.now().strftime('%Y-%m-%d')
                    bsu.Utils.write_daily_alert(symbol, stock_id, action) 

def update_sina_stock_match():
    date = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
    msg = get_market_signal_by_date(date)
    user = StockMatch(
        username=conf.SINA_CONFIG['username'],
        password=conf.SINA_CONFIG['password'],
    )
    for stock_code in msg['buy']:
        user.buy(stock_code)
        # 经过测试，每隔3S进行一次买入操作的频率最合适
        time.sleep(3)
    else:
        logger.info("没有股票需要买入") 

def _test_download_delta_data(self, mock_get_hist_data):
        coll_name = '000651'
        ts_his_data = bdt.TsHisData(coll_name)

        yesterday = dt.datetime.now() - dt.timedelta(days=1)
        mock_delta_data = pd.DataFrame(data={
            'open': 38,
            'high': 39,
            'close': 40,
            'low': 41,
            'volume': 42,
            'price_change': 43,
            'p_change': 44,
            'ma5': 45,
            'ma10': 46,
            'ma20': 47,
            'v_ma5': 48,
            'v_ma10': 49,
            'v_ma20': 50,
            'turnover': 51
        }, index=[dt.datetime.strftime(yesterday, '%Y-%m-%d')])

        mock_get_hist_data.return_value = mock_delta_data

        ts_his_data.download_delta_data()

        hist_data_000651 = ts_his_data.get_data()

        self.assertEqual(len(hist_data_000651), 3)
        self.assertEqual(dt.datetime.strftime(hist_data_000651.index[-1], '%Y-%m-%d'),
                         dt.datetime.strftime(yesterday, '%Y-%m-%d'))
        lib = models.get_library(conf.CN_STOCK_LIBNAME)
        lib.delete(coll_name) 

def test_build_data_select_latest(self, blank_state):
        """Test that build data can be selected for only latest instance."""
        build_data_latest = {
            'node_name': 'foo',
            'generator': 'hello_world',
            'data_format': 'text/plain',
            'data_element': 'Hello World!',
            'task_id': uuid.uuid4(),
            'collected_date': datetime.utcnow(),
        }

        build_data_old = copy.deepcopy(build_data_latest)
        build_data_old['collected_date'] = build_data_latest[
            'collected_date'] - timedelta(days=1)
        build_data_old['task_id'] = uuid.uuid4()

        build_data1 = objects.BuildData(**build_data_latest)
        build_data2 = objects.BuildData(**build_data_old)

        result = blank_state.post_build_data(build_data1)

        assert result

        result = blank_state.post_build_data(build_data2)

        assert result

        bd_list = blank_state.get_build_data(node_name='foo', latest=True)

        assert len(bd_list) == 1

        assert bd_list[0].to_dict() == build_data1.to_dict() 

def ls(args):
    """
    List status of all configured SNS-SQS message buses and instances subscribed to them.
    """
    table = []
    queues = list(resources.sqs.queues.filter(QueueNamePrefix="github"))
    max_age = datetime.now(tzutc()) - timedelta(days=15)
    for topic in resources.sns.topics.all():
        account_id = ARN(topic.arn).account_id
        try:
            bucket = resources.s3.Bucket("deploy-status-{}".format(account_id))
            status_objects = bucket.objects.filter(Prefix=ARN(topic.arn).resource)
            recent_status_objects = {o.key: o for o in status_objects if o.last_modified > max_age}
        except ClientError:
            continue
        if ARN(topic.arn).resource.startswith("github"):
            for queue in queues:
                queue_name = os.path.basename(queue.url)
                if queue_name.startswith(ARN(topic.arn).resource):
                    row = dict(Topic=topic, Queue=queue)
                    status_object = bucket.Object(os.path.join(queue_name, "status"))
                    if status_object.key not in recent_status_objects:
                        continue
                    try:
                        github, owner, repo, events, instance = os.path.dirname(status_object.key).split("-", 4)
                        status = json.loads(status_object.get()["Body"].read().decode("utf-8"))
                        row.update(status, Owner=owner, Repo=repo, Instance=instance,
                                   Updated=status_object.last_modified)
                    except Exception:
                        pass
                    table.append(row)
    args.columns = ["Owner", "Repo", "Instance", "Status", "Ref", "Commit", "Updated", "Topic", "Queue"]
    page_output(tabulate(table, args))