Python uuid.uuid1方法代碼示例

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def upload():
    f = request.files['file']
    assert f, "Where's my file?"

    filekey = request.form.get('filekey') or str(uuid.uuid1())
    assert RE_ALLOWED_FILEKEYS.match('filekey'), 'Unacceptable file key'

    permpath = getpath(filekey)

    content_range = (f.headers.get('Content-Range') or
                     request.headers.get('Content-Range'))

    if content_range:
        result, kwargs = handle_chunked(f, permpath, content_range)
    else:
        result, kwargs = handle_full(f, permpath)

    kwargs['filekey'] = filekey

    return jsonify(result=result, **kwargs)


# Flask endpoint 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def infer():
    f = request.files['img']

    # 保存圖片
    save_father_path = 'images'
    img_path = os.path.join(save_father_path, str(uuid.uuid1()) + '.' + secure_filename(f.filename).split('.')[-1])
    if not os.path.exists(save_father_path):
        os.makedirs(save_father_path)
    f.save(img_path)

    # 開始預測圖片
    img = load_image(img_path)
    result = exe.run(program=infer_program,
                     feed={feeded_var_names[0]: img},
                     fetch_list=target_var)

    # 顯示圖片並輸出結果最大的label
    lab = np.argsort(result)[0][0][-1]

    names = ['蘋果', '哈密瓜', '胡蘿卜', '櫻桃', '黃瓜', '西瓜']

    # 打印和返回預測結果
    r = '{"label":%d, "name":"%s", "possibility":%f}' % (lab, names[lab], result[0][0][lab])
    print(r)
    return r 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def add_point(self,x,y,z):
    """
    Add point object to model, if the name already exists, an exception will be raised.
    if a point in same location exists, the name of the point will be returned.
    
    param:
        x,y,z: float-like, coordinates in SI.
        [name]: str, name, optional.
    return:
        str, the new point's name.
    """
    try:
        pt=Point()
        pt.x=x
        pt.y=y
        pt.z=z
        pt.uuid=str(uuid.uuid1())
        pt.name=pt.uuid
        self.session.add(pt)
        return pt.name
    except Exception as e:
        logger.info(str(e))
        self.session.rollback()
        return False 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def __init__(self,dim,dof,name=None):
        self._name=uuid.uuid1() if name==None else name
        self._hid=None #hidden id
        
        self._dim=dim
        self._dof=dof

        self._nodes=[]

        self._D=None
        self._L=None

        self._mass=None
        
        self._T=None
        self._Ke=None
        self._Me=None
        self._re=None

        self._local_csys=None 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def collect(self, index, dataDict, check=True):
        """
        Collect atom given its index.

        :Parameters:
            #. index (int): The atom index to collect.
            #. dataDict (dict): The atom data dict to collect.
            #. check (boolean):  Whether to check dataDict keys before
               collecting. If set to False, user promises that collected
               data is a dictionary and contains the needed keys.
        """
        assert not self.is_collected(index), LOGGER.error("attempting to collect and already collected atom of index '%i'"%index)
        # add data
        if check:
            assert isinstance(dataDict, dict), LOGGER.error("dataDict must be a dictionary of data where keys are dataKeys")
            assert tuple(sorted(dataDict)) == self.__dataKeys, LOGGER.error("dataDict keys don't match promised dataKeys")
        self.__collectedData[index] = dataDict
        # set indexes sorted array
        idx = np.searchsorted(a=self.__indexesSortedArray, v=index, side='left')
        self.__indexesSortedArray = np.insert(self.__indexesSortedArray, idx, index)
        # set state
        self.__state = str(uuid.uuid1()) 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def release(self, index):
        """
        Release atom from list of collected atoms and return its
        collected data.

        :Parameters:
            #. index (int): The atom index to release.

        :Returns:
            #. dataDict (dict): The released atom collected data.
        """
        if not self.is_collected(index):
            LOGGER.warn("Attempting to release atom %i that is not collected."%index)
            return
        index = self.__collectedData.pop(index)
        # set indexes sorted array
        idx = np.searchsorted(a=self.__indexesSortedArray, v=index, side='left')
        self.__indexesSortedArray = np.insert(self.__indexesSortedArray, idx, index)
        # set state
        self.__state = str(uuid.uuid1())
        # return
        return index 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def test_pass_resource_responses_through(self):
        def validate_responses(  # pylint: disable=unused-argument
            activities: List[Activity],
        ):
            pass  # no need to do anything.

        adapter = SimpleAdapter(call_on_send=validate_responses)
        context = TurnContext(adapter, Activity())

        activity_id = str(uuid.uuid1())
        activity = TestMessage.message(activity_id)

        resource_response = await context.send_activity(activity)
        self.assertTrue(
            resource_response.id != activity_id, "Incorrect response Id returned"
        ) 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def begin_dialog(
        self, dialog_context: DialogContext, options: object = None
    ) -> DialogTurnResult:

        if not dialog_context:
            raise TypeError("WaterfallDialog.begin_dialog(): dc cannot be None.")

        # Initialize waterfall state
        state = dialog_context.active_dialog.state

        instance_id = uuid.uuid1().__str__()
        state[self.PersistedOptions] = options
        state[self.PersistedValues] = {}
        state[self.PersistedInstanceId] = instance_id

        properties = {}
        properties["DialogId"] = self.id
        properties["InstanceId"] = instance_id
        self.telemetry_client.track_event("WaterfallStart", properties)

        # Run first stepkinds
        return await self.run_step(dialog_context, 0, DialogReason.BeginCalled, None) 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def __init__(self, *, url=None, port=5672, virtualhost='/',
                 username='guest', password='guest',
                 ssl=False, verify_ssl=True, heartbeat=20):

        super().__init__()
        self._transport = None
        self._protocol = None
        self._response_futures = {}
        self.host = url
        self.port = port
        self.virtualhost = virtualhost
        self.username = username
        self.password = password
        self.ssl = ssl
        self.verify_ssl = verify_ssl

        self.response_queue_name = str(uuid.uuid1()).encode()
        self._consumer_tag = None
        self._closing = False
        self.channel = None
        self.heartbeat = heartbeat
        self._connected = False

        if not url:
            raise TypeError("RabbitMqClientTransport() missing 1 required keyword-only argument: 'url'") 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def _get_pipe_name(name):
    if sys.platform.startswith('linux'):
        # linux supports abstract sockets: http://api.zeromq.org/4-1:zmq-ipc
        pipename = "ipc://@{}-pipe-{}".format(name, str(uuid.uuid1())[:8])
        pipedir = os.environ.get('TENSORPACK_PIPEDIR', None)
        if pipedir is not None:
            logger.warn("TENSORPACK_PIPEDIR is not used on Linux any more! Abstract sockets will be used.")
    else:
        pipedir = os.environ.get('TENSORPACK_PIPEDIR', None)
        if pipedir is not None:
            logger.info("ZMQ uses TENSORPACK_PIPEDIR={}".format(pipedir))
        else:
            pipedir = '.'
        assert os.path.isdir(pipedir), pipedir
        filename = '{}/{}-pipe-{}'.format(pipedir.rstrip('/'), name, str(uuid.uuid1())[:6])
        assert not os.path.exists(filename), "Pipe {} exists! You may be unlucky.".format(filename)
        pipename = "ipc://{}".format(filename)
    return pipename 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def execute_sql(self, sql, params=None, require_commit=True,
                    named_cursor=False):
        logger.debug((sql, params))
        use_named_cursor = (named_cursor or (
                            self.server_side_cursors and
                            sql.lower().startswith('select')))
        with self.exception_wrapper():
            if use_named_cursor:
                cursor = self.get_cursor(name=str(uuid.uuid1()))
                require_commit = False
            else:
                cursor = self.get_cursor()
            try:
                cursor.execute(sql, params or ())
            except Exception as exc:
                if self.get_autocommit() and self.autorollback:
                    self.rollback()
                raise
            else:
                if require_commit and self.get_autocommit():
                    self.commit()
        return cursor 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def test_graph_validation_of_invalid_ontology_class(self):
        """
        test to make sure invalid ontology classes aren't allowed

        """

        graph = Graph.objects.get(graphid=self.rootNode.graph_id)
        new_node = graph.add_node(
            {"nodeid": uuid.uuid1(), "datatype": "semantic", "ontologyclass": "InvalidOntologyClass"}
        )  # A blank node with an invalid ontology class specified
        graph.add_edge({"domainnode_id": self.rootNode.pk, "rangenode_id": new_node.pk, "ontologyproperty": None})

        with self.assertRaises(GraphValidationError) as cm:
            graph.save()
        the_exception = cm.exception
        self.assertEqual(the_exception.code, 1001) 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def get_credentials_path(required_scopes, credentials_profile):
    """Return the path of the credentials file."""
    logger.debug("Searching credentials with scopes: " + str(required_scopes))
    basedir = config.credentials_base_dir
    credentials_dir = os.path.join(basedir, credentials_profile)
    lib.mkdir_p(credentials_dir)

    for path in glob.glob(os.path.join(credentials_dir, "*.json")):
        credentials = json.load(open(path))
        credentials_scope = set(credentials.get("scopes", []))
        if credentials_scope.issuperset(required_scopes):
            logger.info("Using credentials: {}".format(path))
            return path
    uuid_value = str(uuid.uuid1())
    filename = "credentials-{uuid}.json".format(uuid=uuid_value)
    new_path = os.path.join(credentials_dir, filename)
    logger.debug("No credentials for scopes, create new file: " + new_path)
    return new_path 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def start_test(self, idempotence_key=None, base_path='', **kwargs):
    """Starts this pipeline in test fashion.

    Args:
      idempotence_key: Dummy idempotence_key to use for this root pipeline.
      base_path: Dummy base URL path to use for this root pipeline.
      kwargs: Ignored keyword arguments usually passed to start().
    """
    if not idempotence_key:
      idempotence_key = uuid.uuid1().hex
    pipeline_key = db.Key.from_path(_PipelineRecord.kind(), idempotence_key)
    context = _PipelineContext('', 'default', base_path)
    future = PipelineFuture(self.output_names, force_strict=True)
    self._set_values_internal(
        context, pipeline_key, pipeline_key, future, _PipelineRecord.WAITING)
    context.start_test(self)

  # Pipeline control methods. 

# 需要導入模塊: import uuid [as 別名]
# 或者: from uuid import uuid1 [as 別名]
def __init__(
        self,
        client,
        market_id: str,
        orders: list,
        package_type: OrderPackageType,
        market,
        async_: bool = False,
    ):
        super(BaseOrderPackage, self).__init__(None)
        self.id = uuid.uuid1()
        self.client = client
        self.market_id = market_id
        self._orders = orders
        self.package_type = package_type
        self.market = market
        self.async_ = async_
        self.customer_strategy_ref = config.hostname
        self.processed = False  # used for simulated execution