python类ETA的实例源码

def render(self, length=None, progress=False):
        """
        Render this signal into an numpy array of floats. Return the array.

        :param length:      The length to render, in seconds. Optional.
        :param progress:    Whether to show a progress bar for rendering
        """
        if progress and not progressbar:
            print('Install the progressbar module to see a progress bar for rendering')
            progress = False

        duration = self.duration if length is None else length * SAMPLE_RATE
        if duration == float('inf'):
            duration = 3*SAMPLE_RATE
        else:
            duration = int(duration)
        out = numpy.empty((duration, 1))

        pbar = progressbar.ProgressBar(widgets=['Rendering: ', progressbar.Percentage(), ' ', progressbar.Bar(), ' ', progressbar.ETA()], maxval=duration-1).start() if progress else None

        for i in range(duration):
            out[i] = self.amplitude(i)
            if pbar: pbar.update(i)
        if pbar: pbar.finish()
        return out

def main():
    uri, outfile, dataset = get_arguments()
    fd = tempfile.NamedTemporaryFile()
    progress = ProgressBar(widgets=[Percentage(), ' ', Bar(), ' ', ETA(), ' ', FileTransferSpeed()])

    def update(count, blockSize, totalSize):
        if progress.maxval is None:
            progress.maxval = totalSize
            progress.start()
        progress.update(min(count * blockSize, totalSize))

    urllib.urlretrieve(uri, fd.name, reporthook = update)
    if dataset == 'zinc12':
        df = pandas.read_csv(fd.name, delimiter = '\t')
        df = df.rename(columns={'SMILES':'structure'})
        df.to_hdf(outfile, 'table', format = 'table', data_columns = True)
    elif dataset == 'chembl22':
        df = pandas.read_table(fd.name,compression='gzip')
        df = df.rename(columns={'canonical_smiles':'structure'})
        df.to_hdf(outfile, 'table', format = 'table', data_columns = True)
        pass
    else:
        df = pandas.read_csv(fd.name, delimiter = '\t')
        df.to_hdf(outfile, 'table', format = 'table', data_columns = True)

def preprocess(self, questions: List[QASetting],
                   answers: Optional[List[List[Answer]]] = None,
                   is_eval: bool = False) -> List[XQAAnnotation]:

        if answers is None:
            answers = [None] * len(questions)
        preprocessed = []
        if len(questions) > 1000:
            bar = progressbar.ProgressBar(
                max_value=len(questions),
                widgets=[' [', progressbar.Timer(), '] ', progressbar.Bar(), ' (', progressbar.ETA(), ') '])
            for q, a in bar(zip(questions, answers)):
                preprocessed.append(self.preprocess_instance(q, a))
        else:
            for q, a in zip(questions, answers):
                preprocessed.append(self.preprocess_instance(q, a))

        return preprocessed

def preprocess(self, questions: List[QASetting],
                   answers: Optional[List[List[Answer]]] = None,
                   is_eval: bool = False) -> List[MCAnnotation]:
        if answers is None:
            answers = [None] * len(questions)
        preprocessed = []
        if len(questions) > 1000:
            bar = progressbar.ProgressBar(
                max_value=len(questions),
                widgets=[' [', progressbar.Timer(), '] ', progressbar.Bar(), ' (', progressbar.ETA(), ') '])
            for i, (q, a) in bar(enumerate(zip(questions, answers))):
                preprocessed.append(self.preprocess_instance(i, q, a))
        else:
            for i, (q, a) in enumerate(zip(questions, answers)):
                preprocessed.append(self.preprocess_instance(i, q, a))

        return preprocessed

def download(download_list, total_download_size):
    progressbar_widgets = [
        '[Downloading mails            ] ',
        progressbar.Percentage(),
        progressbar.Bar(marker=progressbar.RotatingMarker()), ' ',
        progressbar.ETA(), ' ',
        bitmath.integrations.BitmathFileTransferSpeed()]
    progressbar_instance = progressbar.ProgressBar(widgets=progressbar_widgets, maxval=int(total_download_size)).start()

    downloaded_size = bitmath.Byte(0)
    for folder, mails in download_list.items():
        server.select_folder(folder, readonly=True)
        for mailid, mailfilename, mailsize in mails:
            #make parent directory
            if not os.path.isdir(os.path.dirname(mailfilename)):
                os.makedirs(os.path.dirname(mailfilename))

            #download mail
            with open(mailfilename, 'wb') as mailfile:
                mailfile.write(server.fetch([mailid], ['RFC822'])[mailid][b'RFC822'])

            #update progressbar
            downloaded_size += mailsize
            progressbar_instance.update(int(downloaded_size))
    progressbar_instance.finish()

def progressbarize(iterable, progress=False):
    """Construct progressbar for loops if progressbar requested, otherwise return directly iterable.

    :param iterable: iterable to use
    :param progress: True if print progressbar
    """
    if progress:
        # The casting to list is due to possibly yielded value that prevents
        # ProgressBar to compute overall ETA
        return progressbar.ProgressBar(widgets=[
            progressbar.Timer(), ', ',
            progressbar.Percentage(), ', ',
            progressbar.SimpleProgress(), ', ',
            progressbar.ETA()
        ])(list(iterable))

    return iterable

def __init__(self, *args, **kwargs):
        self.dld = FileDownloader()
        self.dld.stage(self.cmd_name)

        load_continents()
        load_oceans()
        load_currencies()
        load_languages()

        self.widgets = [
            MemoryUsage(),
            progressbar.ETA(),
            ' |Processed: ',
            progressbar.Counter(),
            ' |Done: ',
            progressbar.Percentage(),
            progressbar.Bar(),
        ]
        return super().__init__(*args, **kwargs)

def deleteHostsByHostgroup(groupname):
    hostgroup = zapi.hostgroup.get(output=['groupid'],filter={'name': groupname})
    if hostgroup.__len__() != 1:
        logger.error('Hostgroup not found: %s\n\tFound this: %s' % (groupname,hostgroup))
    groupid = int(hostgroup[0]['groupid'])
    hosts = zapi.host.get(output=['name','hostid'],groupids=groupid)
    total = len(hosts)
    logger.info('Hosts found: %d' % (total))
    if ( args.run ):
        x = 0
        bar = ProgressBar(maxval=total,widgets=[Percentage(), ReverseBar(), ETA(), RotatingMarker(), Timer()]).start()
        logger.echo = False
        for host in hosts:
            x = x + 1
            bar.update(x)
            logger.debug('(%d/%d) >> Removing >> %s' % (x, total, host))
            out = zapi.globo.deleteMonitors(host['name'])
        bar.finish()
        logger.echo = True
    else:
        logger.info('No host removed due to --no-run arg. Full list of hosts:')
        for host in hosts:
            logger.info('%s' % host['name'])
    return

def hosts_disable_all():
  """
  status de host 0 = enabled
  status de host 1 = disabled
  """
  logger.info('Disabling all hosts, in blocks of 1000')
  hosts = zapi.host.get(output=[ 'hostid' ], search={ 'status': 0 })
  maxval = int(ceil(hosts.__len__())/1000+1)
  bar = ProgressBar(maxval=maxval,widgets=[Percentage(), ReverseBar(), ETA(), RotatingMarker(), Timer()]).start()
  i = 0
  for i in xrange(maxval):
    block = hosts[:1000]
    del hosts[:1000]
    result = zapi.host.massupdate(hosts=[ x for x in block ], status=1)
    i += 1
    bar.update(i)
  bar.finish()
  logger.info('Done')
  return

def proxy_passive_to_active():
  """
  status de prxy 5 = active
  status de prxy 6 = passive
  """
  logger.info('Change all proxys to active')
  proxys = zapi.proxy.get(output=[ 'shorten', 'host' ],
    filter={ 'status': 6 })
  if ( proxys.__len__() == 0 ):
    logger.info('Done')
    return
  bar = ProgressBar(maxval=proxys.__len__(),widgets=[Percentage(), ReverseBar(), ETA(), RotatingMarker(), Timer()]).start()
  i = 0
  for x in proxys:
    i += 1
    proxyid = x['proxyid']
    result = zapi.proxy.update(proxyid=proxyid, status=5)
    logger.echo = False
    logger.debug('Changed from passive to active proxy: %s' % (x['host']))
    bar.update(i)
  bar.finish()
  logger.echo = True
  logger.info('Done')
  return

def getProgress(self, url, fileSize):
        status = json.loads(urllib.urlopen(url).read())
        if len(status["data"]) ==0 :
            logger.info(url + " upload done ")
            return  True
        widgets = ['Progress: ', Percentage(), ' ', Bar(
            marker=RotatingMarker('>-=')), ' ', ETA(), ' ', FileTransferSpeed()]
        pbar = ProgressBar(widgets=widgets, maxval=fileSize).start()
        upload_size = 0
        while upload_size < fileSize:
            _response = self.doGet(url)
            _data = json.loads(_response)
            upload_size = long(_data["data"]["upload_size"])
            total_size = long(_data["data"]["total_size"])
            if upload_size == 0 and total_size == 0:
                break
            pbar.update(upload_size)
            time.sleep(1)
        pbar.finish()
        logger.info(url + " upload done")
        return True

        """
        ??????
        """

def scrape_mlb_odds_range(min_date=None, max_date=None):
  min_date = min_date or datetime.datetime.today() - datetime.timedelta(days=1)
  max_date = max_date or datetime.datetime.today()

  if isinstance(min_date, basestring):
    min_date = parser.parse(min_date)
  if isinstance(max_date, basestring):
    max_date = parser.parse(max_date)

  date = min_date
  pbar = progressbar.ProgressBar(widgets=[progressbar.Percentage(), ' ', progressbar.Bar(), ' ', progressbar.ETA()],
                                 maxval=int((max_date-min_date).total_seconds() / (60*60*24)) + 1)
  pbar.start()
  saved = 0
  hit = 0
  while date <= max_date:
    day_odds = load_odds_for_day(date)
    if day_odds is not None and len(day_odds) > 0:
      save_sbr_odds_info('mlb', date, day_odds)
      saved += 1
    hit += 1
    date += datetime.timedelta(days=1)
    pbar.update(value=hit)
  pbar.finish()
  return saved

def scrape_nba_odds_range(min_date=None, max_date=None):
  min_date = min_date or datetime.datetime.today() - datetime.timedelta(days=1)
  max_date = max_date or datetime.datetime.today()

  if isinstance(min_date, basestring):
    min_date = parser.parse(min_date)
  if isinstance(max_date, basestring):
    max_date = parser.parse(max_date)

  date = min_date
  pbar = progressbar.ProgressBar(widgets=[progressbar.Percentage(), ' ', progressbar.Bar(), ' ', progressbar.ETA()],
                                 maxval=int((max_date-min_date).total_seconds() / (60*60*24)) + 1)
  pbar.start()
  saved = 0
  hit = 0
  while date <= max_date:
    day_odds = load_odds_for_day(date)
    if day_odds is not None and len(day_odds) > 0:
      save_sbr_odds_info('nba', date, day_odds)
      saved += 1
    hit += 1
    date += datetime.timedelta(days=1)
    pbar.update(value=hit)
  pbar.finish()
  return saved

def __iter__(self):
        if self.count != 0:
            widgets = [
                '%s: ' % (self.caption,),
                progressbar.Percentage(),
                ' ',
                progressbar.Bar(),
                ' ',
                progressbar.ETA(),
            ]
            pbar = progressbar.ProgressBar(widgets=widgets, maxval=self.count)
            pbar.start()
            for idx, item in enumerate(self.iterator):
                yield item
                pbar.update(idx)
            pbar.finish()

def _setup_progress(self, options):
        if options.progress:
            if self.beanstalk:
                # With Beanstalk C&C we don't know how many...
                self.progress = progressbar.ProgressBar(
                    redirect_stdout=True,
                    redirect_stderr=True,
                    widgets=[
                        'Total: ',
                        progressbar.Counter(),
                        ', ',
                        progressbar.Timer()
                    ])
            else:
                self.progress = progressbar.ProgressBar(
                    redirect_stdout=True,
                    redirect_stderr=True,
                    widgets=[
                        progressbar.Percentage(),
                        progressbar.Bar(),
                        ' (', progressbar.ETA(), ') ',
                    ])
        else:
            self.progress = None

def __init__(self, options):
        self.wildcards = []
        self.options = options
        self.domains = []
        if options.domains:
            self.domains += filter(None, options.domains.read().split("\n"))
        self.domains += options.domain
        self.domains = list(set(self.domains))
        random.shuffle(self.domains)
        self.resolvers = map(str.strip, filter(None, options.resolvers.read().split("\n")))
        random.shuffle(self.resolvers)
        self.names = [X for X in self._load_names(options.names)]
        if options.progress:
            self.progress = progressbar.ProgressBar(
                redirect_stdout=True,
                redirect_stderr=True,
                widgets=[
                    progressbar.Percentage(),
                    progressbar.Bar(),
                    ' (', progressbar.ETA(), ') ',
                ])
        else:
            self.progress = None
        self.finished = 0
        LOG.info("%d names, %d resolvers, %d domains",
                 len(self.names), len(self.resolvers), len(self.domains))

def download(number, save_dir='./'):
    """Download pre-trained word vector
    :param number: integer, default ``None``
    :param save_dir: str, default './'
    :return: file path for downloaded file
    """
    df = load_datasets()

    row = df.iloc[[number]]
    url = ''.join(row.URL)
    if not url:
        print('The word vector you specified was not found. Please specify correct name.')

    widgets = ['Test: ', Percentage(), ' ', Bar(marker=RotatingMarker()), ' ', ETA(), ' ', FileTransferSpeed()]
    pbar = ProgressBar(widgets=widgets)

    def dlProgress(count, blockSize, totalSize):
        if pbar.max_value is None:
            pbar.max_value = totalSize
            pbar.start()

        pbar.update(min(count * blockSize, totalSize))

    file_name = url.split('/')[-1]
    if not os.path.exists(save_dir):
        os.makedirs(save_dir)
    save_path = os.path.join(save_dir, file_name)
    path, _ = urlretrieve(url, save_path, reporthook=dlProgress)
    pbar.finish()
    return path

def __enter__(self):
        self.bar = progressbar.ProgressBar(
            widgets=[
                progressbar.Percentage(),
                ' ',
                progressbar.Bar(),
                progressbar.FileTransferSpeed(),
                ' ',
                progressbar.ETA(),
            ],
            max_value=self.max_value,
        )
        self.fd = open(self.output_path, 'wb')
        return self

def train(self):

        data = Data(self.train_dat, self.train_lab)
        batch_num = self.length/self.batch_size if self.length%self.batch_size == 0 else self.length/self.batch_size + 1

        model = self.add_model()

        with self.sess as sess:

            tf.initialize_all_variables().run()

            for ite in range(self.iterations):
                print "Iteration {}".format(ite)
                cost = 0.
                pbar = pb.ProgressBar(widgets=[pb.Percentage(), pb.Bar(), pb.ETA()], maxval=batch_num).start()
                for i in range(batch_num):
                    batch_x, batch_y = data.next_batch(self.batch_size)

                    c, _ = self.sess.run([model['loss'], model['optimizer']], feed_dict={model['train_x']:batch_x, model['train_y']:batch_y, model['p_keep_dens']:0.75})

                    cost += c / batch_num
                    pbar.update(i+1)
                pbar.finish()

                print ">>cost: {}".format(cost)

                t_acc, d_acc = self.eval(model, 3000)
                # early stop
                if t_acc >= 0.995 and d_acc >= 0.995:
                    break

            self.predict(model)

def __tag__(self):
        return "ETA"

def __call__(self, epoch):
        if self._batches is None:
            logger.info("Preparing evaluation data...")
            self._batches = self.reader.input_module.batch_generator(self._dataset, self._batch_size, is_eval=True)

        logger.info("Started evaluation %s" % self._info)
        metrics = defaultdict(lambda: list())
        bar = progressbar.ProgressBar(
            max_value=len(self._dataset) // self._batch_size + 1,
            widgets=[' [', progressbar.Timer(), '] ', progressbar.Bar(), ' (', progressbar.ETA(), ') '])
        for i, batch in bar(enumerate(self._batches)):
            inputs = self._dataset[i * self._batch_size:(i + 1) * self._batch_size]
            predictions = self.reader.model_module(batch, self._ports)
            m = self.apply_metrics(inputs, predictions)
            for k in self._metrics:
                metrics[k].append(m[k])

        metrics = self.combine_metrics(metrics)
        super().add_to_history(metrics, self._iter, epoch)

        printmetrics = sorted(metrics.keys())
        res = "Epoch %d\tIter %d\ttotal %d" % (epoch, self._iter, self._total)
        for m in printmetrics:
            res += '\t%s: %.3f' % (m, metrics[m])
            self.update_summary(self._iter, self._info + '_' + m, metrics[m])
            if self._write_metrics_to is not None:
                with open(self._write_metrics_to, 'a') as f:
                    f.write("{0} {1} {2:.5}\n".format(datetime.now(), self._info + '_' + m,
                                                      np.round(metrics[m], 5)))
        res += '\t' + self._info
        logger.info(res)

        if self._side_effect is not None:
            self._side_effect_state = self._side_effect(metrics, self._side_effect_state)

def get_pbar(num, prefix=""):
    assert isinstance(prefix, str)
    pbar = pb.ProgressBar(widgets=[prefix, pb.Percentage(), pb.Bar(), pb.ETA()], maxval=num)
    return pbar

def collect_mailinfos(server, folder_contents, outpath_format):
    #construct progressbar
    progressbar_widgets = [
        '[Choosing mails for download  ] ',
        progressbar.Percentage(),
        progressbar.Bar(marker=progressbar.RotatingMarker()), ' ', progressbar.ETA()]
    total_count = 0
    for folder, mailids in folder_contents.items():
        total_count += len(mailids)
    progressbar_instance = progressbar.ProgressBar(widgets=progressbar_widgets, maxval=total_count).start()

    #collect all mailinfos
    mailinfos = {}
    mailinfo_count = 0
    for folder, mailids in folder_contents.items():
        mailinfos[folder] = []

        #get mailinfo bit by bit
        server.select_folder(folder, readonly=True)
        for mailid in mailids:
            #fetch mail information
            mailinfo = server.fetch([mailid], ['ENVELOPE', 'INTERNALDATE', 'RFC822.SIZE'])[mailid]
            mailsize = bitmath.Byte(mailinfo[b'RFC822.SIZE'])
            mailfilename = construct_mailfilename(outpath_format, mailinfo, args.outdir, folder, mailid)                

            #only add if mailfilename can be constructed
            if mailfilename:
                mailinfos[folder].append((mailid, mailfilename, mailsize))

            mailinfo_count += 1
            progressbar_instance.update(mailinfo_count)

    progressbar_instance.finish()
    return mailinfos

def create_app(load_db=True, populate_qr_cache=True, progressbar=False):
    # Set up logging
    log_level = os.environ.get('AF_LOGGING_LEVEL', None)
    if log_level is not None:
        log_levels = ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL')
        if log_level.upper() in log_levels:
            log_level = getattr(log, log_level)

            log.basicConfig(level=log_level)
        else:
            log.warning('Invalid log level: {}'.format(log_level.upper()))
    else:
        log.warning('No log level set, using default level.')

    log.info('Creating Flask application')
    app = Flask(__name__)
    app.register_blueprint(root)

    # Now load the database if requested
    if load_db:
        from . import database_handler as dh
        log.info('Loading database.')
        dh.get_database()       # This loads the database into memory.
        log.info('Database loaded.')

    if populate_qr_cache:
        if progressbar:
            from progressbar import ProgressBar, Bar, Timer, ETA
            pbar = ProgressBar(widgets=['Populating QR cache: ', Bar(),
                                        ' ', Timer(), ' ', ETA()])
            kwargs = {'pbar': pbar}
        else:
            log.info('Populating QR cache.')
            kwargs = {}

        from .cache_utils import populate_qr_cache
        populate_qr_cache(**kwargs)

    return app

def __init__(self, msg, maxval, widgets=None, extrapos=-1):
        self.msg = msg
        self.extrapos = extrapos
        if not widgets:
            widgets = [progressbar.Percentage(), ' ', progressbar.Bar(), ' ',
            progressbar.ETA()]
            self.extrapos = 4

        try:
            self._resize_default = signal.getsignal(signal.SIGWINCH)
        except:
            self._resize_default = None
        progressbar.ProgressBar.__init__(self, maxval, [self.msg + ": "] + widgets, fd=sys.stdout)

def _create_pbar(self, max_iter):
        """
            Creates a progress bar.
        """

        self.grad_iter = 0
        self.pbar = pb.ProgressBar()
        self.pbar.widgets = ["Optimizing: ", pb.Percentage(),
                             " ", pb.Bar(marker=pb.AnimatedMarker()),
                             " ", pb.ETA()]
        self.pbar.maxval = max_iter

def setup_progressbar(self):
        from progressbar import ProgressBar, FileTransferSpeed, Bar, Percentage, ETA
        return ProgressBar(widgets=[FileTransferSpeed(), ' <<<', Bar(), '>>> ', Percentage(), ' ', ETA()])

def __init__(self, widgets=None, **kwargs):
        import progressbar as pb

        logging.Handler.__init__(self)

        if widgets is None:
            class CommaProgress(pb.widgets.WidgetBase):
                def __call__(self, progress, data):
                    return '{value:,} of {max_value:,}'.format(**data)

            widgets = [' ', CommaProgress(), ' (', pb.Percentage(), ') ',
                       pb.Bar(), ' ', pb.ETA()]

        self.pbar_args = {'widgets': widgets}
        self.pbar_args.update(kwargs)

def _get_progress_widgets(self):
        """
        Returns the progress widgets for a file download.
        """
        format_custom_text = progressbar.FormatCustomText(
            'Fetching [ %(file)s ] :: ', dict(file=self.remote_file_name),
        )

        widgets = [
            format_custom_text,
            progressbar.ETA(),
            progressbar.Percentage(),
            progressbar.Bar(),
        ]
        return widgets

def transfer(self):
        image_reshape = np.ndarray(shape=(self.pre_images.shape[0], self.output_rows, self.output_cols, 3),
                                   dtype=np.float16)

        widgets = ['Transfer: ', pbar.Percentage(), ' ', pbar.Bar('>'), ' ', pbar.ETA()]
        image_bar = pbar.ProgressBar(widgets=widgets, maxval=self.pre_images.shape[0]).start()

        for i in range(0, self.pre_images.shape[0]):
            image = self.pre_images[i].reshape(self.pre_img_rows, self.pre_img_cols)
            image = image.astype('uint8')
            im = Image.fromarray(image)  # monochromatic image
            imrgb = im.convert('RGB')
            imrgb = imrgb.resize((self.output_rows, self.output_cols), Image.ANTIALIAS)

            im = np.array(imrgb, dtype=np.float16)
            im[:, :, 0] -= imagenet_mean['R']
            im[:, :, 1] -= imagenet_mean['G']
            im[:, :, 2] -= imagenet_mean['B']
            # 'RGB'->'BGR', historical reasons in OpenCV
            im = im[:, :, ::-1]
            image_reshape[i] = im

            # test for correct convert!
            # if i < 3:
            #     img = Image.fromarray(np.uint8(im))
            #     img.save(str(i) + '.jpeg', 'jpeg')
            image_bar.update(i + 1)
        image_bar.finish()
        print('image_reshape:', image_reshape.shape)

        return image_reshape