Python stderr.flush函数代码示例

    def parseGameMessage(self, parts):
        if parts[0] == "game":
            gameStateMessage = parts[1]

            if gameStateMessage== 'round':
                #update game round i
                self.round = int(parts[2])

            elif gameStateMessage == 'this_piece_type':
                #update game this_piece_type s
                self.this_piece_type = parts[2]

            elif gameStateMessage == 'next_piece_type':
                #update game next_piece_type s
                self.next_piece_type = parts[2]

            elif gameStateMessage == 'this_piece_position':
                #update game this_piece_position i,i
                position = parts[2].split(',')
                self.this_piece_position["x"] = int(position[0])
                self.this_piece_position["y"] = int(position[1])

            else:
                stderr.write('Unknown gameStateMessage: %s\n' % (parts[1]))
                stderr.flush()

        elif parts[0] == self.settings.bots["me"]:
            self.players["me"].parsePlayerState(parts[1:])

        elif parts[0] == self.settings.bots["opponent"]:
            self.players["opponent"].parsePlayerState(parts[1:])

        else:
            stderr.write('Unknown gameStateMessage: %s\n' % (parts[0]))
            stderr.flush()

    def log_error(self, message, level=LOG_ERR):
        """Logging method with the same functionality like in Request object.

        But as get_options read configuration from os.environ which could
        not work in same wsgi servers like Apaches mod_wsgi.

        This method write to stderr so messages, could not be found in
        servers error log!
        """
        if self.__log_level[0] >= level[0]:
            if _unicode_exist and isinstance(message, unicode):
                message = message.encode('utf-8')
            try:
                stderr.write("<%s> [%s] %s\n" % (level[1], self.__name,
                                                 message))
            except UnicodeEncodeError:
                if _unicode_exist:
                    message = message.decode('utf-8').encode(
                        'ascii', 'backslashreplace')
                else:
                    message = message.encode(
                        'ascii', 'backslashreplace').decode('ascii')

                stderr.write("<%s> [%s] %s\n" % (level[1], self.__name,
                                                 message))
            stderr.flush()

def main(args):
    try:
        args.files = list(set(args.files))
        for file_path in args.files:
            if not file_path:
                continue
            if args.verbose:
                print("Processing: {0}".format(file_path))
            try:
                with open(file_path, "rb") as input_file:
                    pdf_data = input_file.read()
            except IOError as e:
                stderr.write("{0}: {1}\n".format(file_path, e.strerror))
                stderr.flush()
                continue

            # Backup the file with a different name
            if not args.no_backup:
                if args.verbose:
                    print("Creating backup: {0}.OLD".format(file_path))
                shutil.move(file_path, "{0}.OLD".format(file_path))

            # Modify the PDF file
            new_pdf_data = remove_evil_links(pdf_data)
            # Save the new file
            with open(file_path, "wb") as out_file:
                out_file.write(new_pdf_data)
            if args.verbose:
                print("Saving modified file: {0}".format(file_path))
    except KeyboardInterrupt:
        raise

def _encoder_transform(X_s,layers,batch_range):
    """
    Parameters:
    ----------

    X_s: input data
    layers: neuron layers (input shape + hidden layers)
    batch_range: size of minibatch

    Returs:

    Input data with fetures as most latent representation

    """
    ae= autoencoder(dimensions=layers)
    learning_rate = 0.001
    optimizer = tf.train.AdamOptimizer(learning_rate).minimize(ae['cost'])
    sess = tf.Session()
    sess.run(tf.initialize_all_variables())
    n_epoch=100
    for epoch_i in range(n_epoch):
        for start, end in zip(range(0, len(X_s), batch_range),range(batch_range, len(X_s), batch_range)):
            input_ = X_s[start:end]
            sess.run(optimizer, feed_dict={ae['x']: input_, ae['corrupt_prob']: [1.0]})
        s="\r Epoch: %d Cost: %f"%(epoch_i, sess.run(ae['cost'], 
            feed_dict={ae['x']: X_s, ae['corrupt_prob']: [1.0]}))  
        stderr.write(s)
        stderr.flush()
    Z_0 = sess.run(ae['z'], feed_dict={ae['x']: X_s, ae['corrupt_prob']: [0.0]})
    sess.close()
    return Z_0

def main(args):
    napalm = {"name": "Napalm", "func": Napalm, "flag_set": args.napalm}
    mamont = {"name": "Mamont", "func": Mamont, "flag_set": args.mamont}
    filewatcher = {"name": "FileWatcher", "func": Filewatcher, "flag_set": args.filewatcher}
    filemare = {"name": "FileMare", "func": Filemare, "flag_set": args.filemare}

    custom_functions = []
    for routine in (napalm, mamont, filewatcher, filemare):
        if(routine["flag_set"]):
            custom_functions.append(routine)

    # Process -fw, -fm, -ma, -na flags if they are set
    if(len(custom_functions) > 0):
        functions = custom_functions
    else:
        functions = (napalm, mamont, filewatcher, filemare)

    # Start the scraping process
    for function in functions:
        try:
            stderr.write("\t-=[ {0} ]=-\n".format(function["name"]))
            stderr.flush()
            function["func"](args).search()
        except(KeyboardInterrupt, EOFError):
            continue

    stderr.write("\n")
    stderr.flush()

    def _album(self, source):
        """ Returns a list of image files from the passed source on success. """
        try:
            # Obtain the album image objects from the json data which is found
            # in the passed source
            if "<h2>All Categories</h2>" in source or "<a id=\"images\"" in source:
                j = self._get_var_collectionData(source, "search")
            else:
                j = self._get_var_collectionData(source)
            if not j:
                raise EOFError
            images = j.get("items").get("objects")
            if not images:
                raise EOFError
        except(EOFError):
            return "End of album"
        # Try to detect the first page and print the estimated file count
        # to stderr.
        if(j["pageNumber"] == 1):
            self._print_album_stats(source)
            stderr.flush()
        image_objects = []
        for obj in images:
            new_link = obj.get("fullsizeUrl")
            up = urlparse(new_link)
            new_link = "{0}~original".format(up.geturl())
            obj["originalUrl"] = new_link
            image_objects.append(ImageInfo(obj["name"], **obj))

        image_objects = [ImageInfo(obj["name"], **obj) for obj in images if obj]
        return image_objects

def benchmark(args, commit, commits):
    # print progress indicator
    stderr.write("\r{}/{} {}".format(commits.index(commit), len(commits), commit))
    stderr.flush()

    # checkout the given commit
    run_from_repo(args, ["git", "checkout", "--force", commit])

    try:
        # run the benchmarks and store results as a stream
        stream = StringIO(run_benchmarks(args))
    except CalledProcessError as e:
        # failure likely means a commit from before the benchmarks existed
        return {}

    # decode stream as CSV table
    benchmarks = benchmarks_from_buffer(stream)

    # refine table
    report = table_from_benchmarks(benchmarks)

    # determine the columns to extract
    title_row = report[0]
    name_index = title_row.index('name')
    cpu_time_index = title_row.index('cpu_time')

    # return list of tuples of benchmark test name to result
    return {cell[name_index]: cell[cpu_time_index] for cell in report[1:]}

    def _get_output_dir(self):
        """ Returns the output directory, either the pwd or the directory
            defined in the passed arguments.
            Subalbums are given a subdirectory to store their images in.
        """
        out = self._args.output_directory
        if not out:
            # Define the present working directory if it wasn't passed explicitly
            # with the -o/--output-directory argument.
            out = os.path.join(os.getcwd(), 'photobucket')
        elif out.startswith("~"):
            # Resolve the tilde char (which is the home directory on *nix) to
            # it's actual destination.
            home = os.environ.get("HOME")
            if not home:
                out = os.getcwd()
            else:
                out = os.path.join(home, out[1:])

        if not os.path.isdir(out) and not os.path.isfile(out):
            try:
                os.makedirs(out)
            except(OSError, IOError):
                stderr.write("Failed to create output directory,",\
                             "does it already exist?\n")
                stderr.flush()
                exit(1)

        # Add a trailing slash (or backslash) to the download directory, this is
        # necessary otherwise we would get an error when trying to write the down-
        # loaded file to the directory. (we want to write to file - not to the
        # directory itself)
        if not out.endswith(os.sep):
            out += os.sep
        return out

def parseAdvisoryString(wwaString):
    advisoryString = ''

    words = wwaString.split('^')
    for word in words:
        if '<None>' in word:
            continue

        entries = word.split('.')
        hazard = entries[0]
        advisory = entries[1]

        if hazard in DEFS['wwa']['hazards']:
            advisoryString += DEFS['wwa']['hazards'][hazard] + ' '
        else:
            stderr.write('WARNING: Unknown hazard code: ' + hazard + '\n'); stderr.flush()

        if advisory in DEFS['wwa']['advisories']:
            advisoryString += DEFS['wwa']['advisories'][advisory] + '\n'
        else:
            stderr.write('WARNING: Unknown advisory code: ' + advisory + '\n'); stderr.flush()

    if len(advisoryString) == 0:
        advisoryString = '<None>'
    else:
        advisoryString = advisoryString.strip().title()

    return advisoryString

   def daemonize(self):
      """
      Forks the process(es) from the controlling terminal
      and redirects I/O streams for logging.
      """

      self.fork()

      chdir(getcwd())
      setsid()
      umask(0)
  
      self.fork()
      stdout.flush()
      stderr.flush()

      si= file(self.stdin, 'w+')
      so= file(self.stdout, 'a+')
      se= file(self.stderr, 'a+', 0)

      dup2(si.fileno(), stdin.fileno())
      dup2(so.fileno(), stdout.fileno())
      dup2(se.fileno(), stderr.fileno())

      register(self.del_pid)
      self.set_pid()

    def _print_progress(self, epoch, cost=None, train_acc=None,
                        valid_acc=None, time_interval=10):
        if self.print_progress > 0:
            s = '\rEpoch: %d/%d' % (epoch, self.epochs)
            if cost is not None:
                s += ' | Cost %.2f' % cost
            if train_acc is not None:
                s += ' | TrainAcc %.2f' % train_acc
            if valid_acc is not None:
                s += ' | ValidAcc %.2f' % valid_acc
            if self.print_progress > 1:
                if not hasattr(self, 'ela_str_'):
                    self.ela_str_ = '00:00:00'
                if not epoch % time_interval:
                    ela_sec = time() - self.init_time_
                    self.ela_str_ = self._to_hhmmss(ela_sec)
                s += ' | Elapsed: %s' % self.ela_str_
                if self.print_progress > 2:
                    if not hasattr(self, 'eta_str_'):
                        self.eta_str_ = '00:00:00'
                    if not epoch % time_interval:
                        eta_sec = ((ela_sec / float(epoch)) *
                                   self.epochs - ela_sec)
                        self.eta_str_ = self._to_hhmmss(eta_sec)
                    s += ' | ETA: %s' % self.eta_str_

            stderr.write(s)
            stderr.flush()

def init():
    """Initialize hitch in this directory."""
    if call(["which", "virtualenv"], stdout=PIPE):
        stderr.write("You must have python-virtualenv installed to use hitch.\n")
        stderr.flush()
        exit(1)

    if hitchdir.hitch_exists():
        stderr.write("Hitch has already been initialized in this directory.\n")
        stderr.flush()
        exit(1)

    makedirs(".hitch")
    pip = path.abspath(path.join(".hitch", "virtualenv", "bin", "pip"))

    call(["virtualenv", ".hitch/virtualenv", "--no-site-packages"])
    call([pip, "install", "-U", "pip"])

    if path.exists("hitchreqs.txt"):
        call([pip, "install", "-r", "hitchreqs.txt"])
    else:
        call([pip, "install", "hitchtest"])

        pip_freeze = check_output([pip, "freeze"])

        with open("hitchreqs.txt", "w") as hitchreqs_handle:
            hitchreqs_handle.write(pip_freeze)

def task_message(task_id, escience_token, server_url, wait_timer, task='not_progress_bar'):
    """
    Function to check create and destroy celery tasks running from orka-CLI
    and log task state messages.
    """
    payload = {"job": {"task_id": task_id}}
    yarn_cluster_logger = ClusterRequest(escience_token, server_url, payload, action='job')
    previous_response = {'job': {'state': 'placeholder'}}
    response = yarn_cluster_logger.retrieve()
    while 'state' in response['job']:
        if response['job']['state'].replace('\r','') != previous_response['job']['state'].replace('\r',''):
            if task == 'has_progress_bar':
                stderr.write(u'{0}\r'.format(response['job']['state']))
                stderr.flush()
            else:
                stderr.write('{0}'.format('\r'))
                logging.log(SUMMARY, '{0}'.format(response['job']['state']))

            previous_response = response

        else:
            stderr.write('{0}'.format('.'))
            sleep(wait_timer)
        response = yarn_cluster_logger.retrieve()
        stderr.flush()


    if 'success' in response['job']:
        stderr.write('{0}'.format('\r'))
        return response['job']['success']

    elif 'error' in response['job']:
        stderr.write('{0}'.format('\r'))
        logging.error(response['job']['error'])
        exit(error_fatal)

 def doCombination(self):
     ## Contrary to Number-counting models, here each channel PDF already contains the nuisances
     ## So we just have to build the combined pdf
     if len(self.DC.bins) > 1 or not self.options.forceNonSimPdf:
         for (postfixIn,postfixOut) in [ ("","_s"), ("_bonly","_b") ]:
             simPdf = ROOT.RooSimultaneous("model"+postfixOut, "model"+postfixOut, self.out.binCat) if self.options.noOptimizePdf else ROOT.RooSimultaneousOpt("model"+postfixOut, "model"+postfixOut, self.out.binCat)
             for b in self.DC.bins:
                 pdfi = self.out.pdf("pdf_bin%s%s" % (b,postfixIn))
                 simPdf.addPdf(pdfi, b)
             if len(self.DC.systs) and (not self.options.noOptimizePdf) and self.options.moreOptimizeSimPdf:
                 simPdf.addExtraConstraints(self.out.nuisPdfs)
             if self.options.verbose:
                 stderr.write("Importing combined pdf %s\n" % simPdf.GetName()); stderr.flush()
             self.out._import(simPdf)
             if self.options.noBOnly: break
     else:
         self.out._import(self.out.pdf("pdf_bin%s"       % self.DC.bins[0]).clone("model_s"), ROOT.RooFit.Silence())
         if not self.options.noBOnly: 
             self.out._import(self.out.pdf("pdf_bin%s_bonly" % self.DC.bins[0]).clone("model_b"), ROOT.RooFit.Silence())
     if self.options.fixpars:
         pars = self.out.pdf("model_s").getParameters(self.out.obs)
         iter = pars.createIterator()
         while True:
             arg = iter.Next()
             if arg == None: break;
             if arg.InheritsFrom("RooRealVar") and arg.GetName() != "r": 
                 arg.setConstant(True);

 def _print_progress(self, iteration, n_iter,
                     cost=None, time_interval=10):
     if self.print_progress > 0:
         s = '\rIteration: %d/%d' % (iteration, n_iter)
         if cost:
             s += ' | Cost %.2f' % cost
         if self.print_progress > 1:
             if not hasattr(self, 'ela_str_'):
                 self.ela_str_ = '00:00:00'
             if not iteration % time_interval:
                 ela_sec = time() - self._init_time
                 self.ela_str_ = self._to_hhmmss(ela_sec)
             s += ' | Elapsed: %s' % self.ela_str_
             if self.print_progress > 2:
                 if not hasattr(self, 'eta_str_'):
                     self.eta_str_ = '00:00:00'
                 if not iteration % time_interval:
                     eta_sec = ((ela_sec / float(iteration)) *
                                n_iter - ela_sec)
                     if eta_sec < 0.0:
                         eta_sec = 0.0
                     self.eta_str_ = self._to_hhmmss(eta_sec)
                 s += ' | ETA: %s' % self.eta_str_
         stderr.write(s)
         stderr.flush()