Python sys.stdout 模块，flush() 实例源码

def print_status(progress, file_size, start):
    """
    This function - when passed as `on_progress` to `Video.download` - prints
    out the current download progress.

    :params progress:
        The lenght of the currently downloaded bytes.
    :params file_size:
        The total size of the video.
    :params start:
        The time when started
    """

    percent_done = int(progress) * 100. / file_size
    done = int(50 * progress / int(file_size))
    dt = (clock() - start)
    if dt > 0:
        stdout.write("\r  [%s%s][%3.2f%%] %s at %s/s " %
                     ('=' * done, ' ' * (50 - done), percent_done,
                      sizeof(file_size), sizeof(progress // dt)))
    stdout.flush()

def parallel_cone(pipe,cells,time,cone_input,cone_layer,Vis_dark,Vis_resting_potential):
    # Initialize array of cone_response copying cone_input
    cone_response = cone_input

    for cell in cells:
        if multiprocessing.current_process().name=="root":
            progress = 100*(cell-cells[0])/len(cells)
            stdout.write("\r progress: %d %%"% progress)
            stdout.flush()

        # Time-driven simulation
        for t in np.arange(0,time):
            # Update dynamics of the model
            cone_layer[cell].feedInput(cone_input[cell,t])
            cone_layer[cell].update()
            # Record response
            cone_response[cell,t] = (cone_layer[cell].LF_taum.last_values[0] -\
            cone_layer[cell].LF_tauh.last_values[0] - Vis_dark - Vis_resting_potential)

    pipe.send(cone_response[cells,:])
    pipe.close()

#! ================
#! Class runNetwork
#! ================

def fry(img):
    coords = find_chars(img)
    img = add_b_emojis(img, coords)
    img = add_laughing_emojis(img, 5)
    eyecoords = find_eyes(img)
    img = add_flares(img, eyecoords)

    # bulge at random coordinates
    [w, h] = [img.width - 1, img.height - 1]
    w *= np.random.random(1)
    h *= np.random.random(1)
    r = int(((img.width + img.height) / 10) * (np.random.random(1)[0] + 1))
    img = bulge(img, np.array([int(w), int(h)]), r, 3, 5, 1.8)

    # some finishing touches
    # print("Adding some finishing touches... ", end='')
    stdout.flush()
    img = add_noise(img, 0.2)
    img = change_contrast(img, 200)
    # print("Done")

    return img


# Downloads image from url to RAM, fries it and saves to disk

def main():
    """
    Connect to an SNI-enabled server and request a specific hostname, specified
    by argv[1], of it.
    """
    if len(argv) < 2:
        print 'Usage: %s <hostname>' % (argv[0],)
        return 1

    client = socket()

    print 'Connecting...',
    stdout.flush()
    client.connect(('127.0.0.1', 8443))
    print 'connected', client.getpeername()

    client_ssl = Connection(Context(TLSv1_METHOD), client)
    client_ssl.set_connect_state()
    client_ssl.set_tlsext_host_name(argv[1])
    client_ssl.do_handshake()
    print 'Server subject is', client_ssl.get_peer_certificate().get_subject()
    client_ssl.close()

def main():
    """
    Run an SNI-enabled server which selects between a few certificates in a
    C{dict} based on the handshake request it receives from a client.
    """
    port = socket()
    port.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
    port.bind(('', 8443))
    port.listen(3)

    print 'Accepting...',
    stdout.flush()
    server, addr = port.accept()
    print 'accepted', addr

    server_context = Context(TLSv1_METHOD)
    server_context.set_tlsext_servername_callback(pick_certificate)

    server_ssl = Connection(server_context, server)
    server_ssl.set_accept_state()
    server_ssl.do_handshake()
    server.close()

def test(self, dataset, subset='test', name='Test'):
        global g_args
        train_writer = tf.summary.FileWriter(
            os.path.join(hparams.SUMMARY_DIR,
                         str(datetime.datetime.now().strftime("%m%d_%H%M%S")) + ' ' + hparams.SUMMARY_TITLE), g_sess.graph)
        cli_report = {}
        for data_pt in dataset.epoch(
                subset, hparams.BATCH_SIZE * hparams.MAX_N_SIGNAL):
            # note: this disables dropout during test
            to_feed = dict(
                zip(self.train_feed_keys, (
                    np.reshape(data_pt[0], [hparams.BATCH_SIZE, hparams.MAX_N_SIGNAL, -1, hparams.FEATURE_SIZE]),
                    1.)))
            step_summary, step_fetch = g_sess.run(
                self.valid_fetches, to_feed)[:2]
            train_writer.add_summary(step_summary)
            stdout.write('.')
            stdout.flush()
            _dict_add(cli_report, step_fetch)
        stdout.write(name + ': %s\n' % (
            _dict_format(cli_report)))

def printStats(self):

        """ Print generation statistics
        :rtype: the printed statistics as string
        .. versionchanged:: 0.6
           The return of *printStats* method.
        """

        percent = self.currentGeneration * 100 / float(self.nGenerations)
        message = "Gen. %d (%.2f%%):" % (self.currentGeneration, percent)
        log.info(message)
        print(message,)
        sys_stdout.flush()
        self.internalPop.statistics()
        stat_ret = self.internalPop.printStats()
        return message + stat_ret

    # -----------------------------------------------------------------

def printStats(self):

        """ Print generation statistics
        :rtype: the printed statistics as string
        .. versionchanged:: 0.6
           The return of *printStats* method.
        """

        percent = self.currentGeneration * 100 / float(self.nGenerations)
        message = "Gen. %d (%.2f%%):" % (self.currentGeneration, percent)
        log.info(message)
        print(message,)
        sys_stdout.flush()
        self.internalPop.statistics()
        stat_ret = self.internalPop.printStats()
        return message + stat_ret

    # -----------------------------------------------------------------

def build_onehots(self, vocab_size=None):
        """Build one-hot encodings of each sequence."""

        # If we're passed a charset size, great - if not, fall back to inferring vocab size
        if vocab_size:
            self.charsize = vocab_size
            vocab = vocab_size
        else:
            vocab = self.charsize

        stderr.write("Constructing one-hot vector data...")
        stderr.flush()

        time1 = time.time()

        # These can be large, so we don't necessarily want them on the GPU
        # Thus they're not Theano shared vars
        # Also, numpy fancy indexing is fun!
        self.x_onehots = np.eye(vocab, dtype=th.config.floatX)[self.x_array]
        self.y_onehots = np.eye(vocab, dtype=th.config.floatX)[self.y_array]

        time2 = time.time()

        stderr.write("done!\nTook {0:.4f} ms.\n".format((time2 - time1) * 1000.0))

def _vis_graph(graph, points, worker, status):
    total_points = len(points)
    visible_edges = []
    if status:
        t0 = default_timer()
        points_done = 0
    for p1 in points:
        for p2 in visible_vertices(p1, graph, scan='half'):
            visible_edges.append(Edge(p1, p2))
        if status:
            points_done += 1
            avg_time = round((default_timer() - t0) / points_done, 3)
            time_stat = (points_done, total_points-points_done, avg_time)
            status = '\r\033[' + str(21*worker) + 'C[{:4}][{:4}][{:5.3f}] \r'
            stdout.write(status.format(*time_stat))
            stdout.flush()
    return visible_edges

def run_chars(strhash, initial, final, chars, types):
    starttime = gmtime()[5]
    for n in range(initial, final + 1):
        for xs in product(chars, repeat=n):
            string=''.join(xs)
            if types == "md5" or types == "MD5":
                password = md5(string).hexdigest()
            elif types == "sha1" or types == "SHA1":
                password = sha1(string).hexdigest()
            elif types == "sha512" or types == "SHA512":
                password = sha512(string).hexdigest()
            else:
                print "[-] Este formato nao esta incluso no script, talvez voce tenha que fazer isso manualmente"
                exit()
            if strhash == password:
                final = gmtime()[5] - starttime
                print "\n[+] Crackeada => %s\n"%(string)
                print "[+] Duracao => %i segundos\n"%(final)
                print "\a"
                stdout.flush()
                exit()
            else:
                print "[-] Tentando => %s"%(string)
    final = gmtime()[5] - starttime
    print "\n[+] Duracao => %i segundos\n"%(final)

def bruteforce(host, port, uname, wordlist):
    try:
        lista = open(wordlist, "r")
    except IOError:
        stdout.write(colored(" [x] Error opening word list\n", "red", attrs=['bold']))
        exit()
    url = "http://"+host+":"+port+"/"
    init = time()
    for l in lista:
        pwd = l.strip()
        try:
            r=get(url, auth=(uname, pwd), timeout=3)
        except:
            stdout.write(colored("\n [-] There was an error connecting to the router %s\n"%(host), "red", attrs=['bold']))
            exit()
        if r.status_code == 200:
            stdout.write(colored("\n\n [+] Cracked => %s:%s\n [+] Duration => %s seconds\n\n"%(uname, pwd, time() - init), "green", attrs=['bold']))
            lista.close()
            exit()
        else:
            stdout.write(colored("\r [-] Current login %s:%s"%(uname, pwd), "yellow", attrs=['bold']))
            stdout.flush()
    print ""
    lista.close()

def generator(min_lenght, max_lenght, chars, name):
    lines = 0
    try:
        file=open(name, "w")
    except IOError:
        print "\n[x] Error : %s este caminho nao existe\n"%(name)
        exit()
    file_stats(max_lenght)
    print ""
    for n in range(min_lenght, max_lenght + 1):
        for xs in product(chars, repeat=n):
            lines = lines + 1
            string=''.join(xs)
            file.write(string + "\n")
            stdout.write('\r[+] Saving character `%s`' % string)
            stdout.flush()
    print "\a"
    file.close()

def generator_param(min_lenght, max_lenght, chars, name, param, value):
    try:
        file=open(name, "w")
    except IOError:
        print "\n[x] Error : %s este caminho nao existe\n"%(name)
        exit()
    file_stats(max_lenght)
    print ""
    for n in range(min_lenght, max_lenght + 1):
        for xs in product(chars, repeat=n):
            string=''.join(xs)
            if param == "-pre":
                file.write(value+string + "\n")
            elif param == "-pos":
                file.write(string+value + "\n")
            else:
                return 1
            if param == "-pre":
                stdout.write('\r[+] Saving character `%s%s`'%(value,string))
            elif param == "-pos":
                stdout.write('\r[+] Saving character `%s%s`'%(string,value))
            stdout.flush()
    print "\a"
    file.close()

def check_deploy_result(operation, console, appname, auth_header):
    i = 0
    while True:
        s = (i % 3 + 1) * '.'
        if len(s) < 3:
            s = s + (3 - len(s)) * ' '
        i += 1
        stdout.write("\r%s... %s " % (operation, s))
        stdout.flush()
        sleep(0.5)
        result = app_status(console, appname, auth_header)
        if result:
            stdout.write("\r%s... %s. " % (operation, result))
            stdout.flush()
            stdout.write("\n")
            return result

def download_and_uncompress_tarball(base_url, filename, data_dir):

  def _progress(count, block_size, total_size):
    stdout.write('\r>> Downloading %s %.1f%%' % (
        filename, float(count * block_size) / float(total_size) * 100.0))
    stdout.flush()

  tarball_url = base_url + filename
  filepath = osp.join(data_dir, filename)

  if not tf.gfile.Exists( osp.join(download_dir, model_dl) ):
    filepath, _ = urllib.request.urlretrieve(tarball_url, filepath, _progress)
    print()
    statinfo = stat(filepath)
    print('Successfully downloaded', filename, statinfo.st_size, 'bytes.')
  else:
    print('{} tarball already exists -- not downloading'.format(filename))

  tarfile.open(filepath, 'r:*').extractall(data_dir)

def optimize(self, X, lmbd, Z=None, max_iter=1, tol=1e-5):
        if Z is None:
            batch_size = X.shape[0]
            K = self.D.shape[0]
            z_curr = np.zeros((batch_size, K))
        else:
            z_curr = np.copy(Z)
        self.train_cost, self.train_z = [], []
        feed = {self.X: X, self.Z: z_curr, self.lmbd: lmbd}
        for k in range(max_iter):
            z_curr[:], dz, cost = self.session.run(
                [self.step_optim, self.dz, self._cost], feed_dict=feed)
            self.train_cost += [cost]
            self.train_z += [np.copy(z_curr)]
            if dz < tol:
                print("\r{} reached optimal solution in {}-iteration"
                      .format(self.name, k))
                break
            out.write("\rIterative optimization ({}): {:7.1%} - {:.4e}"
                      "".format(self.name, k/max_iter, dz))
            out.flush()
        self.train_cost += [self.session.run(self._cost, feed_dict=feed)]
        print("\rIterative optimization ({}): {:7}".format(self.name, "done"))
        return z_curr

def print_progress(self, threshold=0, decimals=1, barLength=100):
        """Print a terminal progress bar."""
        # Based on @Greenstick's reply (https://stackoverflow.com/a/34325723)
        iteration = self.stream.tell()
        if iteration > self.file_size:
            return
        total = self.file_size
        if total == 0:
            return

        progress = 100.0 * iteration / total
        if self.progress and progress - self.progress < threshold:
            return

        self.progress = progress
        percents = ("%03." + str(decimals) + "f") % progress
        filledLength = int(round(barLength * iteration / float(total)))

        barText = '*' * filledLength + '-' * (barLength - filledLength)
        stdout.write('%s| %s%% Completed\r' % (barText, percents))
        stdout.flush()

def wait_time(self, data={'waitSeconds': None}):
        def complete(i, wait):
            return ((100 * (float(i) / float(wait))) * 50) / 100

        if data['waitSeconds'] is not None:
            wait = data['waitSeconds'] + (random.randint(2, 4) / 3.33)
            print(I18n.get('Waiting %s seconds') % str(wait))

            c = i = 0
            while c < 50:
                c = complete(i, wait)
                time.sleep(wait - i if i == int(wait) else 1)
                out.write("[{}]\0\r".format('+' * int(c) + '-' * (50 - int(c))))
                out.flush()
                i += 1
            out.write("\n")
            out.flush()
            return data['waitSeconds']
        return 99999999

def LOG(message=None,type=None):
    if VERBOSITY<=0:
        return
    elif VERBOSITY==1:
        #minimal verbosity ...   dot style output
        if type in MSGSCHEME_MIN:
            message = MSGSCHEME_MIN[type]
            if DO_COLOR and type in COLORSCHEME:
                message = COLORSCHEME[type]%message
            stdout.write("%s"%message)
            stdout.flush()
    else:
        if type in MSGSCHEME:
            message = MSGSCHEME[type]%message
        if DO_COLOR and type in COLORSCHEME:
            message = COLORSCHEME[type]%message
        if MODE_FUZZ:
            stdout.write("[FUZZ] %s\n"% (message))
        else:
            stdout.write("%s\n"% (message))
        stdout.flush()

def try_it(qu):
    stdout.write("\r{} ---> ".format(qu))
    stdout.flush()
    passed = 0
    req = None
    try:
        req = qu.run(c)
        if basic_test(req):
            passed = 1
            stdout.write("PASS\n")
        else:
            fails.append(err_format(q, req))
            stdout.write("FAIL\n")
            print err_format(q, req)
            exit()
    except (preqlerrors.TopologyError, preqlerrors.ValueTypeError, preqlerrors.NonexistenceError) as e:
        errors.append(err_format(q, str(e.msg)))
        stdout.write("ERROR\n")
    stdout.flush()
    return passed, 1, req

def fetch():
    a = IPSet([])
    for blocklist in blocklists:
        r = requests.get(blocklist)
        for line in r.iter_lines():
            if linefilter(line):
                a.add(makeprefix(linefilter(line)))

    for prefix in b:
        if b.len() > 0 and b.__contains__(prefix) and not a.__contains__(prefix):
            a.discard(prefix)
            stdout.write('withdraw route ' + str(prefix) + nexthop)
            stdout.flush()

    for prefix in a:
        if a.__contains__(prefix) and not b.__contains__(prefix):
            stdout.write('announce route ' + str(prefix) + nexthop)
            stdout.flush()

    b.add(a)

def process_photos(photos):
  if 'error' in photos:
    print "Error = ", error
    raise Exception("Error in Response")

  no_of_photos = 0
  if 'data' not in photos:
    return
  while len(photos['data']) > 0:
    for photo in photos['data']:
      if 'tags' in photo:
        process_photo_tags(photo['tags'])
      if 'comments' in photo:
        process_photo_comments(photo['comments'])
      no_of_photos += 1
      stdout.write("\rNumber of Photos Processed = %d" % no_of_photos)
      stdout.flush()
    if 'paging' in photos and 'next' in photos['paging']:
      request_str = photos['paging']['next'].replace('https://graph.facebook.com/', '')
      request_str = request_str.replace('limit=25', 'limit=200')
      photos = graph.get(request_str)
    else:
      photos['data'] = []

def dump_state(state, children=None, move=None):
    if children is None:
        children = []

    if state.current_player == 0:
        overall_percent = (sum(child.wins_by_player[0]
                               for child in children) / 1000.0) * 100
    else:
        overall_percent = None

    children = {
        child.move: {'ucb': child.ucb1(child.parent.current_player),
                     'visits': child.visits,
                     'wins': child.wins_by_player[child.parent.current_player]}
        for child in children}

    print(dumps({'state': state.__dict__,
                 'children': children,
                 'overall_percent': overall_percent,
                 'error': None},
                cls=GameEncoder))
    stdout.flush()

def update(self):
        while self.running:
            # Read the length of the image as a 32-bit unsigned int.
            data_len = struct.unpack('<L', self.connection.read(struct.calcsize('<L')))[0]
            if data_len:
                printD('Updating...')
                printD('data_len: %s' % data_len)
                data = self.connection.read(data_len)
                deserialized_data = msgpack.unpackb(data, object_hook=msgpack_numpy.decode)
                printD('Frame received')
                #print(deserialized_data)
                #stdout.flush()
                img = Image.fromarray(deserialized_data)
                newImage = ImageTk.PhotoImage(img)
                self.gui.stream_label.configure(image=newImage)
                self.gui.stream_label.image = newImage
                printD("image updated")
            else:
                time.sleep(0.001)

def update_2(self):
        if self.running == False:
            return
        # Read the length of the image as a 32-bit unsigned int.
        data_len = struct.unpack('<L', self.connection.read(struct.calcsize('<L')))[0]
        if data_len:
            printD('Updating...')
            printD('data_len: %s' % data_len)
            data = self.connection.read(data_len)
            deserialized_data = msgpack.unpackb(data, object_hook=msgpack_numpy.decode)
            printD('Frame received')
            #print(deserialized_data)
            #stdout.flush()
            img = Image.fromarray(deserialized_data)
            newImage = ImageTk.PhotoImage(img)
            self.gui.stream_label.configure(image=newImage)
            self.gui.stream_label.image = newImage
        self.gui.master.after(70, self.update_2)

def start(self):
        printD("streamserver: start")
        self.running = True
        while self.running:
            frame = self.videostream.read()
            serialized_data = msgpack.packb(frame, default=msgpack_numpy.encode)
            # Write the length of the capture to the stream and flush to ensure it actually gets sent
            data_len = len(serialized_data)
            printD("data_len: %d" % data_len)
            self.connection.write(struct.pack('<L', data_len))
            self.connection.flush()
            # Send the image data over the wire
            self.connection.write(serialized_data)
            self.connection.flush()
            printD("send.")
            sleep(0.001)

def __init__(self, file=None, stringio=False, encoding=None):
        if file is None:
            if stringio:
                self.stringio = file = py.io.TextIO()
            else:
                from sys import stdout as file
        elif py.builtin.callable(file) and not (
             hasattr(file, "write") and hasattr(file, "flush")):
            file = WriteFile(file, encoding=encoding)
        if hasattr(file, "isatty") and file.isatty() and colorama:
            file = colorama.AnsiToWin32(file).stream
        self.encoding = encoding or getattr(file, 'encoding', "utf-8")
        self._file = file
        self.hasmarkup = should_do_markup(file)
        self._lastlen = 0
        self._chars_on_current_line = 0

def write_out(fil, msg):
    # XXX sometimes "msg" is of type bytes, sometimes text which
    # complicates the situation.  Should we try to enforce unicode?
    try:
        # on py27 and above writing out to sys.stdout with an encoding
        # should usually work for unicode messages (if the encoding is
        # capable of it)
        fil.write(msg)
    except UnicodeEncodeError:
        # on py26 it might not work because stdout expects bytes
        if fil.encoding:
            try:
                fil.write(msg.encode(fil.encoding))
            except UnicodeEncodeError:
                # it might still fail if the encoding is not capable
                pass
            else:
                fil.flush()
                return
        # fallback: escape all unicode characters
        msg = msg.encode("unicode-escape").decode("ascii")
        fil.write(msg)
    fil.flush()

def _get(self, url, query=None, timeout=30):
        payload=self._generatePayload(query)
        a = 0
        while 1:
            try:
                a = self._session.get(url, headers=self._header, params=payload, timeout=timeout)
            except :
                #print(exc_info())
                a = a+1
                if self.listening:
                    stdout.write("_get "+url+" failed, retrying..."+str(a)+"\r")
                    stdout.flush()
                    continue
            break
        stdout.write("                                                                 \r")
        stdout.flush()
        return a

def print_event_stream():
    """Print event stream"""
    controllers = discover()

    # for now only care about one controller
    controller = next(controllers, None) or exit('no tellstick devices found')

    if argv[-1] == "raw":
        stream = map(prepend_timestamp, controller.packets())
    else:
        stream = controller.events()

    for packet in stream:
        print(packet)
        try:
            stdout.flush()
        except IOError:
            # broken pipe
            pass

def test_pos(model, sentences, display=False):
    from sys import stdout

    count = correct = 0
    for sentence in sentences:
        sentence = [(token[0], None) for token in sentence]
        pts = model.best_path(sentence)
        if display:
            print sentence
            print 'HMM >>>'
            print pts
            print model.entropy(sentences)
            print '-' * 60
        else:
            print '\b.',
            stdout.flush()
        for token, tag in zip(sentence, pts):
            count += 1
            if tag == token[TAG]:
                correct += 1

    print 'accuracy over', count, 'tokens %.1f' % (100.0 * correct / count)

def test_pos(model, sentences, display=False):
    from sys import stdout

    count = correct = 0
    for sentence in sentences:
        sentence = [(token[0], None) for token in sentence]
        pts = model.best_path(sentence)
        if display:
            print sentence
            print 'HMM >>>'
            print pts
            print model.entropy(sentences)
            print '-' * 60
        else:
            print '\b.',
            stdout.flush()
        for token, tag in zip(sentence, pts):
            count += 1
            if tag == token[TAG]:
                correct += 1

    print 'accuracy over', count, 'tokens %.1f' % (100.0 * correct / count)

def test_pos(model, sentences, display=False):
    from sys import stdout

    count = correct = 0
    for sentence in sentences:
        sentence = [(token[0], None) for token in sentence]
        pts = model.best_path(sentence)
        if display:
            print sentence
            print 'HMM >>>'
            print pts
            print model.entropy(sentences)
            print '-' * 60
        else:
            print '\b.',
            stdout.flush()
        for token, tag in zip(sentence, pts):
            count += 1
            if tag == token[TAG]:
                correct += 1

    print 'accuracy over', count, 'tokens %.1f' % (100.0 * correct / count)

def updateDB():
    """ Download latest exploits DB """
    update_url = 'https://raw.githubusercontent.com/offensive-security/exploit-database/master/files.csv'
    try:
        print 'Updating exploits db',
        from sys import stdout
        stdout.flush()
        import urllib
        urllib.urlretrieve(update_url, 'files.csv')
        print 'DONE.'
    except:
        print 'ERROR. Unable to download.'

def main():
    timings = False
    start = time.time()
    initialize()
    if timings: print('initialize {} s'.format(time.time() - start), file=stderr)

    start = time.time()
    command_table = load_command_table()
    if timings: print('load_command_table {} s'.format(time.time() - start), file=stderr)

    start = time.time()
    group_index = get_group_index(command_table)
    if timings: print('get_group_index {} s'.format(time.time() - start), file=stderr)

    start = time.time()
    snippets = get_snippets(command_table) if AUTOMATIC_SNIPPETS_ENABLED else []
    if timings: print('get_snippets {} s'.format(time.time() - start), file=stderr)

    while True:
        line = stdin.readline()
        start = time.time()
        request = json.loads(line)
        response_data = None
        if request['data'].get('request') == 'status':
            response_data = get_status()
            if timings: print('get_status {} s'.format(time.time() - start), file=stderr)
        elif request['data'].get('request') == 'hover':
            response_data = get_hover_text(group_index, command_table, request['data']['command'])
            if timings: print('get_hover_text {} s'.format(time.time() - start), file=stderr)
        else:
            response_data = get_completions(group_index, command_table, snippets, request['data'], True)
            if timings: print('get_completions {} s'.format(time.time() - start), file=stderr)
        response = {
            'sequence': request['sequence'],
            'data': response_data
        }
        output = json.dumps(response)
        stdout.write(output + '\n')
        stdout.flush()
        stderr.flush()

def __next__(self):
        """
        next overload. If display is true the latest stetistics are displayed
        :return: The next number in iterator
        """
        if self.display:
            self.__restart_line()
            stdout.write(str(self))
            stdout.flush()
        if self.current >= self.end:
            raise StopIteration
        self.current += self.step
        return self.current - self.step

def __restart_line():
        """
        Writes return carriage to stdout and flushes. This allows writing to the same line.
        :return: None
        """
        stdout.write('\r')
        stdout.flush()

def __next__(self):
        """
        next overload. If display is true the latest stetistics are displayed
        :return: The next number in iterator
        """
        if self.display:
            self.__restart_line()
            stdout.write(str(self))
            stdout.flush()
        if self.current >= self.end:
            raise StopIteration
        self.current += self.step
        return self.current - self.step

def __restart_line():
        """
        Writes return carriage to stdout and flushes. This allows writing to the same line.
        :return: None
        """
        stdout.write('\r')
        stdout.flush()

def monitor(s):
    r = s.get(url=progress_url)
    try:
        progress_data = json.loads(r.text)
    except ValueError:
        print """No JSON object could be decoded.
        Get progress failed to return expected data.
        Return code: %s """ % (r.status_code)
        result = ['No JSON object could be decoded\
            - get progress failed to return expected data\
        Return code: %s """ % (r.status_code)', False]
    # Timeout waiting for remote backup to complete
    # (since it sometimes fails) in 5s multiples
    global timeout
    timeout_count = timeout*12  # timeout x 12 = number of iterations of 5s
    time_left = timeout
    while 'fileName' not in progress_data or timeout_count > 0:
        # Clears the line before re-writing to avoid artifacts
        stdout.write("\r\x1b[2k")
        stdout.write("\r\x1b[2K%s. Timeout remaining: %sm"
                     % (progress_data['alternativePercentage'],
                        str(time_left)))
        stdout.flush()
        r = s.get(url=progress_url)
        progress_data = json.loads(r.text)
        time.sleep(5)
        timeout_count = timeout_count - 5
        if timeout_count % 12 == 0:
            time_left = time_left - 1
    if 'fileName' in progress_data:
        result = [progress_data['fileName'], True]
        return result

def download(s, l):
    filename = get_filename(s)
    if not filename:
        return False
    print "Filename found: %s" % filename
    print "Checking if url is valid"
    r = s.get(url=download_url + filename, stream=True)
    print "Status code: %s" % str(r.status_code)
    if int(r.status_code) == 200:
        print "Url returned '200', downloading file"
        if not create_backup_location(l):
            result = ['Failed to create backup location', False]
            return result
        date_time = datetime.datetime.now().strftime("%Y%m%d")
        with open(l + '/' + application + '-' + date_time + '.zip', 'wb') as f:
            file_total = 0
            for chunk in r.iter_content(chunk_size=1024):
                if chunk:
                    f.write(chunk)
                    file_total = file_total + 1024
                    file_total_m = float(file_total)/1048576
                    # Clears the line before re-writing to avoid artifacts
                    stdout.write("\r\x1b[2k")
                    stdout.write("\r\x1b[2K%.2fMB   downloaded" % file_total_m)
                    stdout.flush()
        stdout.write("\n")
        result = ['Backup downloaded successfully', True]
        return result
    else:
        print "Download file not found on remote server - response code %s" % \
            str(r.status_code)
        print "Download url: %s" % download_url + filename
        result = ['Download file not found on remote server', False]
        return result

def LoadingCallBack(j,k):
    stdout.write("\r [+] Files: [{}] (strings: [{}])".format(j,k))
    stdout.flush()

def run_inversion(self):
        try:    self.clear()
        except: pass
        self.sel_files = [str(self.open_files[i]) for i in self.text_files.curselection()]
        if len(self.sel_files) == 0:
            tkinter.messagebox.showwarning("Inversion error",
                                     "No data selected for inversion \nSelect at least one data file in the left panel", parent=self.master)
        if len(self.sel_files) >= 1:
            try:
                self.Inversion()
                stdout.flush()
            except:
                tkinter.messagebox.showerror("Inversion error", "Error\nMake sure all fields are OK\nMake sure data file is correctly formatted",
                                             parent=self.master)
        return

def merge_csv_files(self):
        if len(self.files) > 1:
            self.sol.merge_results(self.files)
            print("=====================")
        else:
            print("Can't merge csv files: Only 1 file inverted in last batch")
            print("=====================")
        stdout.flush()

def set_plot_par(self): # Setting up plotting parameters
        try:
            print("\nLoading plot parameters")
            rcParams.update(iR.plot_par())
            print("Plot parameters successfully loaded")
        except:
            print("Plot parameters not found, using default values")
        stdout.flush()

def plot_diagnostic(self, which):
        f_n = self.var_review.get()
        sol = self.all_results[f_n]["sol"]
        try:
            if which == "traces":
                trace_plot = sol.plot_traces(save=False)
                self.plot_window(trace_plot, "Parameter traces: "+f_n)
            if which == "histo":
                histo_plot = sol.plot_histograms(save=False)
                self.plot_window(histo_plot, "Parameter histograms: "+f_n)
            if which == "autocorr":
                autocorr_plot = sol.plot_autocorrelation(save=False)
                self.plot_window(autocorr_plot, "Parameter autocorrelation: "+f_n)
            if which == "geweke":
                geweke_plot = sol.plot_scores(save=False)
                self.plot_window(geweke_plot, "Geweke scores: "+f_n)
            if which == "summary":
                summa_plot = sol.plot_summary(save=False)
                self.plot_window(summa_plot, "Parameter summary: "+f_n)
            if which == "deviance":
                devi_plot = sol.plot_model_deviance(save=False)
                self.plot_window(devi_plot, "Model deviance: "+f_n)
            if which == "logp":
                logp_plot = sol.plot_log_likelihood(save=False)
                self.plot_window(logp_plot, "Log-likelihood: "+f_n)
            if which == "hexbin":
                try: self.top_bivar.destroy()
                except: pass
                hex_plot = sol.plot_hexbin(self.biv1.get(), self.biv2.get(), save=False)
                self.plot_window(hex_plot, "Hexagonal binning: "+f_n)
            if which == "KDE":
                try: self.top_bivar.destroy()
                except: pass
                kde_plot = sol.plot_KDE(self.biv1.get(), self.biv2.get(), save=False)
                self.plot_window(kde_plot, "Bivariate KDE: "+f_n)
            stdout.flush()
        except:
            tkinter.messagebox.showwarning("Error analyzing results", "Error\nProblem with inversion results\nTry adding iterations",
                                     parent=self.master)

def load(self):
        print("\nLoading root_ini from:\n", self.working_path)
        try:
            with open(self.working_path+'root_ini') as f:
                self.root_ini = jload(f)
            print("root_ini successfully loaded")
        except:
            print("root_ini not found, using default values")
            self.root_ini = self.use_default_root_ini()
        stdout.flush()

def merge_csv_files(self):
        if len(self.files) > 1:
            self.sol.merge_results(self.files)
            print("=====================")
        else:
            print("Can't merge csv files: Only 1 file inverted in last batch")
            print("=====================")
        stdout.flush()

def set_plot_par(self): # Setting up plotting parameters
        try:
            print("\nLoading plot parameters")
            rcParams.update(iR.plot_par())
            print("Plot parameters successfully loaded")
        except:
            print("Plot parameters not found, using default values")
        stdout.flush()