Python logging.info方法代碼示例

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def downloadDemo(which):
    try:
        downloadDir = tempfile.mkdtemp()
        archivePath = "{}/svviz-data.zip".format(downloadDir)

        # logging.info("Downloading...")
        downloadWithProgress("http://svviz.github.io/svviz/assets/examples/{}.zip".format(which), archivePath)
        
        logging.info("Decompressing...")
        archive = zipfile.ZipFile(archivePath)
        archive.extractall("{}".format(downloadDir))

        if not os.path.exists("svviz-examples"):
            os.makedirs("svviz-examples/")

        shutil.move("{temp}/{which}".format(temp=downloadDir, which=which), "svviz-examples/")
    except Exception as e:
        print("error downloading and decompressing example data: {}".format(e))
        return False

    if not os.path.exists("svviz-examples"):
        print("error finding example data after download and decompression")
        return False
    return True 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def append(self, agent, v=None):
        """
        Appends to agent list.
        """
        if v is None:
            var = agent.get_type()
        else:
            var = v
        logging.info("Adding %s of variety %s" % (agent.name, var))

        if var not in self.vars:
            self.add_variety(var)
            self.graph.add_edge(self, var)

        self.vars[var]["agents"].append(agent)

# we link each agent to the variety
# so we can show their relationship
        self.graph.add_edge(var, agent) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def run_model(env, prog_file, results_file):
    # Logging is automatically set up for the modeler:
    logging.info("Starting program " + prog_file)

    periods = env.props.get(PERIODS)
    if periods is None:
        periods = -1
    else:
        periods = int(periods)
    # And now we set things running!
    try:
        results = env.run(periods=periods)
    except SystemExit:
        pass
    env.record_results(results_file)
    return results 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def postact(self):
        """
        After we are done acting, adopt our new stance.
        If the stance changes our direction, we adopt the extreme
        of the new direction.
        Then move to an empty cell.
        """
        new_direct = self.new_stance.direction()
        curr_direct = self.stance.direction()
        logging.info("For %s: stance = %s, new stance = %s"
                     % (self.name, str(self.stance), str(self.new_stance)))
        if not new_direct.equals(curr_direct):
            self.direction_changed(curr_direct, new_direct)
            # if adopting a new stance direction, we go to the extreme
            self.new_stance = new_direct
        else:
            self.new_stance = self.new_stance.normalize()
        self.stance = self.new_stance
        self.move_to_empty(grid_view=self.my_view) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def assign_key(request):
    """
        Assign a key to a user.
    """
    if 'session_id' not in request.session:
        with open("session_id.txt", "w+") as f:
            session_id = f.readline()
            if not session_id:
                session_id = 0
            else:
                session_id = int(session_id)
            session_id += 1
            new_id = session_id
            f.write(str(session_id))

        request.session['session_id'] = new_id
        request.session.modified = True
    else:
        logging.info("This user has a session id: ",
                     request.session['session_id']) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def act(self):
        """
        Act is called in an interactive loop by code
        in the base framework
        """
        super().survey_env()
        for trader in self.neighbor_iter(view=self.my_view):
            for g in self.goods:
                amt = 1
                while self.goods[g]["endow"] >= amt:
                    logging.info(self.name + " is offering "
                                 + str(amt) + " units of "
                                 + g + " to " + trader.name)
                    ans = trader.rec_offer(g, amt, self)
                    if ans == ACCEPT or ans == REJECT:
                        break
                    amt += 1 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def fetch_agents_from_file(self, filenm, agent_type):
        """
        Read in a list of bartering agents from a csv file
        """

        max_detect = self.props.get("max_detect",
                                    ebm.GLOBAL_KNOWLEDGE)
        with open(filenm) as f:
            reader = csv.reader(f)
            for row in reader:
                agent = agent_type(row[0], max_detect=max_detect)
                self.add_agent(agent)
                for i in range(1, len(row) - 2, STEP):
                    good = row[i]
                    self.market.add_good(good)
                    agent.endow(good,
                                int(row[i + 1]),
                                eval("lambda qty: "
                                     + row[i + 2]))
        logging.info("Goods = " + str(self.market)) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def act(self):
        """
        Act is called in an interactive loop by code
        in the base framework
        """
        super().survey_env()
        for trader shin self.neighbor_iter(view=self.my_view):
            for g in self.goods:
                amt = 1
                while self.goods[g]["endow"] >= amt:
                    logging.info(self.name + " is offering "
                                 + str(amt) + " units of "
                                 + g + " to " + trader.name)
                    ans = trader.rec_offer(g, amt, self)
                    if ans == ACCEPT or ans == REJECT:
                        break
                    amt += 1 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def run(port=None):
    import webbrowser, threading

    if port is None:
        port = getRandomPort()

    # load()
    url = "http://127.0.0.1:{}/".format(port)
    logging.info("Starting browser at {}".format(url))
    # webbrowser.open_new(url)

    threading.Timer(1.25, lambda: webbrowser.open(url) ).start()

    app.run(
        port=port#,
        # debug=True
    ) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def getToMatchWithSampling(self):
        readIDs = set()

        logging.info("  exceeded number of reads required to begin sampling; performing sampling")
        for region in self.regions:
            for read in self.loadRegion(region.chr(), region.start(), region.end()):
                readIDs.add(read.qname)

        readIDs = random.sample(readIDs, self.sampleReads)

        tomatch = set()
        readsByID = collections.defaultdict(ReadSet)

        for region in self.regions:
            for read in self.loadRegion(region.chr(), region.start(), region.end()):
                if read.qname in readIDs:
                    tomatch.add(read)
                    readsByID[read.qname].add(read)

        return tomatch, readsByID 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def chooseOrientation(orientations):
    logging.info("  counts +/-:{:<6} -/+:{:<6} +/+:{:<6} -/-:{:<6} unpaired:{:<6}".format(orientations[False, True], 
                                                    orientations[True, False], 
                                                    orientations[True, True],
                                                    orientations[False, False],
                                                    orientations["unpaired"]))
    ranked = sorted(orientations, key=lambda x: orientations[x])
    chosenOrientations = [ranked.pop()]
    while len(ranked) > 0:
        candidate = ranked.pop()
        if orientations[chosenOrientations[-1]] < 2* orientations[candidate]:
            chosenOrientations.append(candidate)
        else:
            break
    if chosenOrientations[0] == "unpaired":
        chosenOrientations = "any"
    else:
        d = {False: "+", True:"-"}
        chosenOrientations = ["".join(d[x] for x in o) for o in chosenOrientations]
    return chosenOrientations 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def _prune_invalid_time_reductions(spec):
    """Prune time reductions of spec with no time dimension."""
    valid_reductions = []
    if not spec['var'].def_time and spec['dtype_out_time'] is not None:
        for reduction in spec['dtype_out_time']:
            if reduction not in _TIME_DEFINED_REDUCTIONS:
                valid_reductions.append(reduction)
            else:
                msg = ("Var {0} has no time dimension "
                       "for the given time reduction "
                       "{1} so this calculation will "
                       "be skipped".format(spec['var'].name, reduction))
                logging.info(msg)
    else:
        valid_reductions = spec['dtype_out_time']
    return valid_reductions 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def load(self, dtype_out_time, dtype_out_vert=False, region=False,
             plot_units=False, mask_unphysical=False):
        """Load the data from the object if possible or from disk."""
        msg = ("Loading data from disk for object={0}, dtype_out_time={1}, "
               "dtype_out_vert={2}, and region="
               "{3}".format(self, dtype_out_time, dtype_out_vert, region))
        logging.info(msg + ' ({})'.format(ctime()))
        # Grab from the object if its there.
        try:
            data = self.data_out[dtype_out_time]
        except (AttributeError, KeyError):
            # Otherwise get from disk.  Try scratch first, then archive.
            try:
                data = self._load_from_disk(dtype_out_time, dtype_out_vert,
                                            region=region)
            except IOError:
                data = self._load_from_tar(dtype_out_time, dtype_out_vert)
        # Copy the array to self.data_out for ease of future access.
        self._update_data_out(data, dtype_out_time)
        # Apply desired plotting/cleanup methods.
        if mask_unphysical:
            data = self.var.mask_unphysical(data)
        if plot_units:
            data = self.var.to_plot_units(data, dtype_vert=dtype_out_vert)
        return data 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def main(args):
  print_in_box('Validating submission ' + args.submission_filename)
  random.seed()
  temp_dir = args.temp_dir
  delete_temp_dir = False
  if not temp_dir:
    temp_dir = tempfile.mkdtemp()
    logging.info('Created temporary directory: %s', temp_dir)
    delete_temp_dir = True
  validator = validate_submission_lib.SubmissionValidator(temp_dir,
                                                          args.use_gpu)
  if validator.validate_submission(args.submission_filename,
                                   args.submission_type):
    print_in_box('Submission is VALID!')
  else:
    print_in_box('Submission is INVALID, see log messages for details')
  if delete_temp_dir:
    logging.info('Deleting temporary directory: %s', temp_dir)
    subprocess.call(['rm', '-rf', temp_dir]) 

# 需要導入模塊: import logging [as 別名]
# 或者: from logging import info [as 別名]
def _verify_docker_image_size(self, image_name):
    """Verifies size of Docker image.

    Args:
      image_name: name of the Docker image.

    Returns:
      True if image size is withing the limits, False otherwise.
    """
    shell_call(['docker', 'pull', image_name])
    try:
      image_size = subprocess.check_output(
          ['docker', 'inspect', '--format={{.Size}}', image_name]).strip()
      image_size = int(image_size) if PY3 else long(image_size)
    except (ValueError, subprocess.CalledProcessError) as e:
      logging.error('Failed to determine docker image size: %s', e)
      return False
    logging.info('Size of docker image %s is %d', image_name, image_size)
    if image_size > MAX_DOCKER_IMAGE_SIZE:
      logging.error('Image size exceeds limit %d', MAX_DOCKER_IMAGE_SIZE)
    return image_size <= MAX_DOCKER_IMAGE_SIZE