import sys
import torch
import torch._C as _C
from collections import OrderedDict
import torch.utils.hooks as hooks
import warnings
import weakref
from torch._six import imap
from torch._C import _add_docstr
from numbers import Number
# NB: If you subclass Tensor, and want to share the subclassed class
# across processes, you must also update torch/multiprocessing/reductions.py
# to define a ForkingPickler serialization mode for the class.
#
# NB: If you add a new method to Tensor, you must update
# torch/__init__.py.in to add a type annotation for your method;
# otherwise, it will not show up in autocomplete.
class Tensor(torch._C._TensorBase):
def __deepcopy__(self, memo):
if not self.is_leaf:
raise RuntimeError("Only Tensors created explicitly by the user "
"(graph leaves) support the deepcopy protocol at the moment")
if id(self) in memo:
return memo[id(self)]
with torch.no_grad():
if self.is_sparse:
new_tensor = self.clone()
else:
new_storage = self.storage().__deepcopy__(memo)
new_tensor = self.new()
new_tensor.set_(new_storage, self.storage_offset(), self.size(), self.stride())
memo[id(self)] = new_tensor
new_tensor.requires_grad = self.requires_grad
return new_tensor
def __reduce_ex__(self, proto):
# See Note [Don't serialize hooks]
torch.utils.hooks.warn_if_has_hooks(self)
args = (self.storage(),
self.storage_offset(),
tuple(self.size()),
self.stride(),
self.requires_grad,
OrderedDict()) # previously was self._backward_hooks
return (torch._utils._rebuild_tensor_v2, args)
def __setstate__(self, state):
# Warning: this method is NOT called when you torch.load() a tensor;
# that is managed by _rebuild_tensor_v2
if not self.is_leaf:
raise RuntimeError('__setstate__ can be only called on leaf Tensors')
if len(state) == 4:
# legacy serialization of Tensor
self.set_(*state)
return
elif len(state) == 5:
# legacy serialization of Variable
self.data = state[0]
state = (state[3], state[4], state[2])
# The setting of _backward_hooks is expected to be a no-op.
# See Note [Don't serialize hooks]
self.requires_grad, _, self._backward_hooks = state
def __repr__(self):
# All strings are unicode in Python 3, while we have to encode unicode
# strings in Python2. If we can't, let python decide the best
# characters to replace unicode characters with.
if sys.version_info > (3,):
return torch._tensor_str._str(self)
else:
if hasattr(sys.stdout, 'encoding'):
return torch._tensor_str._str(self).encode(
sys.stdout.encoding or 'UTF-8', 'replace')
else:
return torch._tensor_str._str(self).encode('UTF-8', 'replace')
[docs] def backward(self, gradient=None, retain_graph=None, create_graph=False):
r"""Computes the gradient of current tensor w.r.t. graph leaves.
The graph is differentiated using the chain rule. If the tensor is
non-scalar (i.e. its data has more than one element) and requires
gradient, the function additionally requires specifying ``gradient``.
It should be a tensor of matching type and location, that contains
the gradient of the differentiated function w.r.t. ``self``.
This function accumulates gradients in the leaves - you might need to
zero them before calling it.
Arguments:
gradient (Tensor or None): Gradient w.r.t. the
tensor. If it is a tensor, it will be automatically converted
to a Tensor that does not require grad unless ``create_graph`` is True.
None values can be specified for scalar Tensors or ones that
don't require grad. If a None value would be acceptable then
this argument is optional.
retain_graph (bool, optional): If ``False``, the graph used to compute
the grads will be freed. Note that in nearly all cases setting
this option to True is not needed and often can be worked around
in a much more efficient way. Defaults to the value of
``create_graph``.
create_graph (bool, optional): If ``True``, graph of the derivative will
be constructed, allowing to compute higher order derivative
products. Defaults to ``False``.
"""
torch.autograd.backward(self, gradient, retain_graph, create_graph)
[docs] def register_hook(self, hook):
r"""Registers a backward hook.
The hook will be called every time a gradient with respect to the
Tensor is computed. The hook should have the following signature::
hook(grad) -> Tensor or None
The hook should not modify its argument, but it can optionally return
a new gradient which will be used in place of :attr:`grad`.
This function returns a handle with a method ``handle.remove()``
that removes the hook from the module.
Example::
>>> v = torch.tensor([0., 0., 0.], requires_grad=True)
>>> h = v.register_hook(lambda grad: grad * 2) # double the gradient
>>> v.backward(torch.tensor([1., 2., 3.]))
>>> v.grad
2
4
6
[torch.FloatTensor of size (3,)]
>>> h.remove() # removes the hook
"""
if not self.requires_grad:
raise RuntimeError("cannot register a hook on a tensor that "
"doesn't require gradient")
if self._backward_hooks is None:
self._backward_hooks = OrderedDict()
if self.grad_fn is not None:
self.grad_fn._register_hook_dict(self)
handle = hooks.RemovableHandle(self._backward_hooks)
self._backward_hooks[handle.id] = hook
return handle
def reinforce(self, reward):
def trim(str):
return '\n'.join([line.strip() for line in str.split('\n')])
raise RuntimeError(trim(r"""reinforce() was removed.
Use torch.distributions instead.
See https://pytorch.org/docs/master/distributions.html
Instead of:
probs = policy_network(state)
action = probs.multinomial()
next_state, reward = env.step(action)
action.reinforce(reward)
action.backward()
Use:
probs = policy_network(state)
# NOTE: categorical is equivalent to what used to be called multinomial
m = torch.distributions.Categorical(probs)
action = m.sample()
next_state, reward = env.step(action)
loss = -m.log_prob(action) * reward
loss.backward()
"""))
detach = _add_docstr(_C._TensorBase.detach, r"""
Returns a new Tensor, detached from the current graph.
The result will never require gradient.
.. note::
Returned Tensor shares the same storage with the original one.
In-place modifications on either of them will be seen, and may trigger
errors in correctness checks.
IMPORTANT NOTE: Previously, in-place size / stride / storage changes
(such as `resize_` / `resize_as_` / `set_` / `transpose_`) to the returned tensor
also update the original tensor. Now, these in-place changes will not update the
original tensor anymore, and will instead trigger an error.
For sparse tensors:
In-place indices / values changes (such as `zero_` / `copy_` / `add_`) to the
returned tensor will not update the original tensor anymore, and will instead
trigger an error.
""")
detach_ = _add_docstr(_C._TensorBase.detach_, r"""
Detaches the Tensor from the graph that created it, making it a leaf.
Views cannot be detached in-place.
""")
[docs] def retain_grad(self):
r"""Enables .grad attribute for non-leaf Tensors."""
if self.grad_fn is None: # no-op for leaves
return
if not self.requires_grad:
raise RuntimeError("can't retain_grad on Tensor that has requires_grad=False")
if hasattr(self, 'retains_grad'):
return
weak_self = weakref.ref(self)
def retain_grad_hook(grad):
var = weak_self()
if var is None:
return
if var._grad is None:
var._grad = grad.clone()
else:
var._grad = var._grad + grad
self.register_hook(retain_grad_hook)
self.retains_grad = True
[docs] def is_pinned(self):
r"""Returns true if this tensor resides in pinned memory"""
storage = self.storage()
return storage.is_pinned() if storage else False
[docs] def is_shared(self):
r"""Checks if tensor is in shared memory.
This is always ``True`` for CUDA tensors.
"""
return self.storage().is_shared()
[docs] def share_memory_(self):
r"""Moves the underlying storage to shared memory.
This is a no-op if the underlying storage is already in shared memory
and for CUDA tensors. Tensors in shared memory cannot be resized.
"""
self.storage().share_memory_()
return self
def __reversed__(self):
r"""Reverses the tensor along dimension 0."""
if self.dim() == 0:
return self
else:
return self.flip(0)
[docs] def norm(self, p="fro", dim=None, keepdim=False, dtype=None):
r"""See :func:`torch.norm`"""
return torch.norm(self, p, dim, keepdim, dtype=dtype)
[docs] def pstrf(self, upper=True):
r"""See :func:`torch.pstrf`"""
warnings.warn("torch.pstrf is deprecated in favour of torch.cholesky and will be removed "
"in the next release.", stacklevel=2)
return super(Tensor, self).pstrf(upper=upper)
[docs] def potrf(self, upper=True):
r"""See :func:`torch.cholesky`"""
warnings.warn("torch.potrf is deprecated in favour of torch.cholesky and will be removed "
"in the next release. Please use torch.cholesky instead and note that the "
":attr:`upper` argument in torch.cholesky defaults to ``False``.", stacklevel=2)
return super(Tensor, self).cholesky(upper=upper)
[docs] def potri(self, upper=True):
r"""See :func:`torch.cholesky_inverse`"""
warnings.warn("torch.potri is deprecated in favour of torch.cholesky_inverse and will be "
"removed in the next release. Please use torch.cholesky_inverse instead and "
"note that the :attr:`upper` argument in torch.cholesky_inverse defaults to "
"``False``.", stacklevel=2)
return super(Tensor, self).cholesky_inverse(upper=upper)
[docs] def potrs(self, u, upper=True):
r"""See :func:`torch.cholesky_solve`"""
warnings.warn("torch.potrs is deprecated in favour of torch.cholesky_solve and "
"will be removed in the next release. Please use torch.cholesky_solve instead "
"and note that the :attr:`upper` argument in torch.cholesky_solve defaults "
"to ``False``.", stacklevel=2)
return super(Tensor, self).cholesky_solve(u, upper=upper)
[docs] def gesv(self, A):
r"""See :func:`torch.solve`"""
warnings.warn("torch.gesv is deprecated in favour of torch.solve and will be removed in the "
"next release. Please use torch.solve instead.", stacklevel=2)
return super(Tensor, self).solve(A)
[docs] def trtrs(self, A, upper=True, transpose=False, unitriangular=False):
r"""See :func:`torch.triangular_solve`"""
warnings.warn("torch.trtrs is deprecated in favour of torch.triangular_solve and will be "
"removed in the next release. Please use torch.triangular_solve instead.",
stacklevel=2)
return super(Tensor, self).triangular_solve(A, upper=upper,
transpose=transpose, unitriangular=unitriangular)
[docs] def btrifact(self, pivot=True):
r"""See :func:`torch.lu`"""
warnings.warn("torch.btrifact is deprecated in favour of torch.lu and will be removed in "
"the next release. Please use torch.lu instead.", stacklevel=2)
return torch._lu_with_info(self, pivot=pivot, check_errors=True)
[docs] def btrifact_with_info(self, pivot=True):
r"""See :func:`torch.lu`"""
warnings.warn("torch.btrifact_with_info is deprecated in favour of torch.lu with the "
"get_infos argument and will be removed in the next release. Please use "
"torch.lu with the get_infos argument set to True instead.", stacklevel=2)
return torch._lu_with_info(self, pivot=pivot, check_errors=False)
[docs] def btrisolve(self, LU_data, LU_pivots):
r"""See :func:`torch.lu_solve`"""
warnings.warn("torch.btrisolve is deprecated in favour of torch.lu_solve and will be "
"removed in the next release. Please use torch.lu_solve instead.",
stacklevel=2)
return super(Tensor, self).lu_solve(LU_data=LU_data, LU_pivots=LU_pivots)
[docs] def lu(self, pivot=True, get_infos=False):
r"""See :func:`torch.lu`"""
# If get_infos is True, then we don't need to check for errors and vice versa
LU, pivots, infos = torch._lu_with_info(self, pivot=pivot, check_errors=(not get_infos))
if get_infos:
return LU, pivots, infos
else:
return LU, pivots
[docs] def stft(self, n_fft, hop_length=None, win_length=None, window=None,
center=True, pad_mode='reflect', normalized=False, onesided=True):
r"""See :func:`torch.stft`
.. warning::
This function changed signature at version 0.4.1. Calling with
the previous signature may cause error or return incorrect result.
"""
return torch.stft(self, n_fft, hop_length, win_length, window, center,
pad_mode, normalized, onesided)
def resize(self, *sizes):
warnings.warn("non-inplace resize is deprecated")
from torch.autograd._functions import Resize
return Resize.apply(self, sizes)
def resize_as(self, tensor):
warnings.warn("non-inplace resize_as is deprecated")
from torch.autograd._functions import Resize
return Resize.apply(self, tensor.size())
[docs] def split(self, split_size, dim=0):
r"""See :func:`torch.split`
"""
if isinstance(split_size, int):
return super(Tensor, self).split(split_size, dim)
else:
return super(Tensor, self).split_with_sizes(split_size, dim)
[docs] def unique(self, sorted=True, return_inverse=False, return_counts=False, dim=None):
r"""Returns the unique elements of the input tensor.
See :func:`torch.unique`
"""
return torch.unique(self, sorted=sorted, return_inverse=return_inverse, return_counts=return_counts, dim=dim)
[docs] def unique_consecutive(self, return_inverse=False, return_counts=False, dim=None):
r"""Eliminates all but the first element from every consecutive group of equivalent elements.
See :func:`torch.unique_consecutive`
"""
return torch.unique_consecutive(self, return_inverse=return_inverse, return_counts=return_counts, dim=dim)
def __rsub__(self, other):
return _C._VariableFunctions.rsub(self, other)
def __rdiv__(self, other):
if self.dtype.is_floating_point:
return self.reciprocal() * other
else:
return (self.double().reciprocal() * other).type_as(self)
__rtruediv__ = __rdiv__
__itruediv__ = _C._TensorBase.__idiv__
__pow__ = _C._TensorBase.pow
def __format__(self, format_spec):
if self.dim() == 0:
return self.item().__format__(format_spec)
return object.__format__(self, format_spec)
def __ipow__(self, other):
raise NotImplementedError("in-place pow not implemented")
def __rpow__(self, other):
return self.new_tensor(other) ** self
def __floordiv__(self, other):
result = self / other
if result.dtype.is_floating_point:
result = result.trunc()
return result
def __rfloordiv__(self, other):
result = other / self
if result.dtype.is_floating_point:
result = result.trunc()
return result
__neg__ = _C._TensorBase.neg
__eq__ = _C._TensorBase.eq
__ne__ = _C._TensorBase.ne
__lt__ = _C._TensorBase.lt
__le__ = _C._TensorBase.le
__gt__ = _C._TensorBase.gt
__ge__ = _C._TensorBase.ge
__abs__ = _C._TensorBase.abs
def __len__(self):
if self.dim() == 0:
raise TypeError("len() of a 0-d tensor")
return self.shape[0]
def __iter__(self):
# NB: we use 'imap' and not 'map' here, so that in Python 2 we get a
# generator and don't eagerly perform all the indexes. This could
# save us work, and also helps keep trace ordering deterministic
# (e.g., if you zip(*hiddens), the eager map will force all the
# indexes of hiddens[0] before hiddens[1], while the generator
# map will interleave them.)
if self.dim() == 0:
raise TypeError('iteration over a 0-d tensor')
if torch._C._get_tracing_state():
warnings.warn('Iterating over a tensor might cause the trace to be incorrect. '
'Passing a tensor of different shape won\'t change the number of '
'iterations executed (and might lead to errors or silently give '
'incorrect results).', category=RuntimeWarning)
return iter(imap(lambda i: self[i], range(self.size(0))))
def __hash__(self):
return id(self)
def __dir__(self):
tensor_methods = dir(self.__class__)
tensor_methods.remove('volatile') # deprecated
attrs = list(self.__dict__.keys())
keys = tensor_methods + attrs
# property only available dense, cuda tensors
if (not self.is_cuda) or self.is_sparse:
keys.remove("__cuda_array_interface__")
return sorted(keys)
# Numpy array interface, to support `numpy.asarray(tensor) -> ndarray`
__array_priority__ = 1000 # prefer Tensor ops over numpy ones
def __array__(self, dtype=None):
if dtype is None:
return self.numpy()
else:
return self.numpy().astype(dtype, copy=False)
# Wrap Numpy array again in a suitable tensor when done, to support e.g.
# `numpy.sin(tensor) -> tensor` or `numpy.greater(tensor, 0) -> ByteTensor`
def __array_wrap__(self, array):
if array.dtype == bool:
# Workaround, torch has no built-in bool tensor
array = array.astype('uint8')
return torch.from_numpy(array)
def __contains__(self, element):
r"""Check if `element` is present in tensor
Arguments:
element (Tensor or scalar): element to be checked
for presence in current tensor"
"""
if isinstance(element, (torch.Tensor, Number)):
return (element == self).any().item()
return NotImplemented
@property
def __cuda_array_interface__(self):
"""Array view description for cuda tensors.
See:
https://numba.pydata.org/numba-doc/latest/cuda/cuda_array_interface.html
"""
# raise AttributeError for unsupported tensors, so that
# hasattr(cpu_tensor, "__cuda_array_interface__") is False.
if not self.is_cuda:
raise AttributeError(
"Can't get __cuda_array_interface__ on non-CUDA tensor type: %s "
"If CUDA data is required use tensor.cuda() to copy tensor to device memory." %
self.type()
)
if self.is_sparse:
raise AttributeError(
"Can't get __cuda_array_interface__ on sparse type: %s "
"Use Tensor.to_dense() to convert to a dense tensor first." %
self.type()
)
# RuntimeError, matching tensor.__array__() behavior.
if self.requires_grad:
raise RuntimeError(
"Can't get __cuda_array_interface__ on Variable that requires grad. "
"If gradients aren't required, use var.detach() to get Variable that doesn't require grad."
)
# CUDA devices are little-endian and tensors are stored in native byte
# order. 1-byte entries are endian-agnostic.
typestr = {
torch.float16: "<f2",
torch.float32: "<f4",
torch.float64: "<f8",
torch.uint8: "|u1",
torch.int8: "|i1",
torch.int16: "<i2",
torch.int32: "<i4",
torch.int64: "<i8",
}[self.dtype]
itemsize = self.storage().element_size()
shape = self.shape
strides = tuple(s * itemsize for s in self.stride())
data = (self.data_ptr(), False) # read-only is false
return dict(typestr=typestr, shape=shape, strides=strides, data=data, version=0)
__module__ = 'torch'


FogifySDK
Fogify provides a python SDK with programming primitives for interacting with the Fogify Controller. The FogifySDK provides the ability to submit IoT service descriptions adopting the Fogify model specification, manipulate service execution by applying actions and submitting “what-if” scenarios, extract real-time monitoring data and assess running deployments. Furthermore, the FogifySDK has a set of built-in analytics functions applicable on monitoring data, as well as, plotting functionality for easing metric examination.
Instantiation
Users instantiate the FogifySDK
, firstly, by importing the FogifySDK
library and, secondly, by created a FogifySDK
object.
The FogifySDK
constructor requires the url of Fogify Controller
and the “fogified” docker-compose
file.
from FogifySDK import FogifySDK
fogify = FogifySDK("http://controller:5000","docker-compose.yaml")
The FogifySDK
object includes all required information for interconnection between the client and the Fogify
framework.
FogifySDK
covers all possible functionality that Fogify API provides including control (deploy
, undeploy
),
actions and scenario, and monitoring functions. The rest of page illustrates the latter functions and describes their documentation.
Control Functions
Control functions are responsible for provision of a “fogified” topology. Specifically, there are two functions, namely:
deploy
function that provisions, bootstraps and deploys a “fogified” topology. The only parameter ofdeploy
function is thetimeout
, which determines how many seconds a user will wait until consider that a deployment has an issue.
fogify.deploy(timeout) # The default value of timeout is 5 minutes
undeploy
function that destroys a topology and releases the occupied resourcesfogify.undeploy()
Actions & Scenarios Functions
Fog deployments are usually neither statically provisioned nor stable.
This instability highly impacts the execution of IoT services, especially in uncontrollable domains.
As we described in previous sections of the documentation, Fogify addresses this challenge by providing runtime Actions
and Scenarios
.
To provide a clear overview of actions and scenario functions, next we describe in details how a user can utilize FogifySDK
to apply them on a running topology.
Actions
An Action
is a process that changes properties of a running Fog Topology.
Due to extensibility, we introduce a general action
method in which users can utilize.
As we described earlier, the method needs the action_type
parameter, which currently could be one of the following:
HORIZONTAL_SCALING
, VERTICAL_SCALING
, NETWORK
, STRESS
, COMMAND
, and the action’s parameters
.
The parameters
is a dictionary with all necessary variables of an action and the emulated instance label
that the action will be apply to.
fogify.action(action_type, **parameters)
Since the action
method is too generic, FogifySDK
includes a specific method
for each action in order to ease their definitions and gives specific parameters for each.
Horizontal Scaling
A horizontal scaling action can either increase or decrease the instances of a service (Fog Node). Thus, FogifySDK introduces two methods for that, namely:
-
horizontal_scaling_up
which spans new instances of a specificinstance_type
(is the same as the model’slabel
). The number of instances is determined bynum_of_instances
and by default is1
.fogify.horizontal_scaling_up(instance_type, num_of_instances)
-
horizontal_scaling_down
that destroys instances of a specificinstance_type
. Similarly, the number of instances is determined bynum_of_instances
and by default is1
.fogify.horizontal_scaling_down(instance_type, num_of_instances)
Vertical Scaling
A vertical scaling action can either increase or decrease the processing power of a service (Fog Node). Specifically, user can provide the following parameters:
instance_type
that could be either an instanceinstance-id
orlabel
cpu
, which is a cpu percent of increase (+<percent>
) or decrease (-<percent>
), e.g.+20
or-20
memory
defines the new memory limitnum_of_instances
determines how many instances will be effected. The default is1
. If theinstance_type
is aninstance-id
, the number of instances will not effect the action at all.
fogify.vertical_scaling( instance_type, cpu, memory, num_of_instances):
Network
Network alterations are crucial in testing of fog deployments, so, FogifySDK
provides a wide range of possible parameters that can be changed.
At the description of Network QoS documentation, we illustrated all possible parameters that one can use in Fogify
.
Similarly, the same parameters can be applied at the update_network
method. Specifically, the method requires the following parameters:
instance_type
that could be either an instanceinstance-id
orlabel
network
, which is the name of the network that will be updatednetwork_characteristics
are the network properties that will be updated from the action (same asNetwork QoS
properties)num_of_instances
determines how many instances will be effected. The default is1
. If theinstance_type
is aninstance-id
, the number of instances will not effect the action at all.
fogify.update_network(instance_type, network, network_characteristics, num_of_instances)
Stress
A stress action provides the ability to simulate workload interference on a running Fog node. This is useful to evaluate the behaviour of a service during workload variation and/or interference from other services. The parameters of the function are the following:
instance_type
that could be either an instanceinstance-id
orlabel
duration
specifies how many seconds the stress action will effect the nodenum_of_instances
determines how many instances will be effected. The default is1
. If theinstance_type
is aninstance-id
, the number of instances will not effect the action at all.cpu
specifies how many cpu intensive workload threads will be spawed in the emulated Fog nodeio
specifies how many io intensive workload threads will be spawed in the emulated Fog nodevm
specifies how many memory intensive workload threads will be spawed in the emulated Fog node and thevm_bytes
determines the size of the memory that will be occupied and free in every cycle of the testfogify.stress(instance_type, duration, num_of_instances, cpu, io, vm, vm_bytes)
Commands
With the command
method, users are able to execute arbitrary commands directly to the emulated fog nodes.
The latter gives the opportunity to extend the functionality of Fogify without extending its code-base.
The parameters of the command
method are:
instance_type
that could be either an instanceinstance-id
orlabel
command
which the Fogify will execute on the emulated fog nodenum_of_instances
determines how many instances will be effected. The default is1
. If theinstance_type
is aninstance-id
, the number of instances will not effect the action at all.
fogify.command(instance_type, command, num_of_instances)
Scenario Execution
As we described in scenario section, scenarios are a sequence of timestamped actions described in a yaml representation.
Users specify multiple scenarios on fogify model file (the extended docker-compose) with different names. In order to execute
a scenario through FogifySDK
, you can simple run the execute_scenario
method with the only required parameter to be the scenario_name
.
fogify.execute_scenario(scenario_name)
Monitoring & Analysis Functions
Fogify stores the metrics from the running emulated nodes in a distributed manner, on each host node.
Users can then extract metrics to generate useful insights about QoS, cost, and predictive analytics.
This is achieved through the FogifySDK
, which retrieves local metrics to an in-memory data structure (pandas
dataframe)
providing exploratory analysis methods that produce plots and summary statistics.
Next we have the basic methods that are implemented on FogifySDK to manipulate and user the stored monitoring data.
Retrieve Monitoring Metrics
FogifySDK
achieves the monitoring data retrieval by requesting them from the Fogify controller.
When the data is retrieved, the FogifySDK
creates a pantas
dataframe from them.
Specifically, the method get_metrics_from
retrieves all monitored metrics from a running emulated instance.
The only parameter that the method needs is the instance_label
.
fogify.get_metrics_from(instance_label)
Clear Monitoring Storage
Since users would like to “start” different experiments without re-deploy the whole topology,
FogifySDK
offers a method to clear the stored data. The method is the clean_metrics
and does not require any other parameter.
fogify.clean_metrics()
Miscellaneous
Deploy a Network Distribution
As we described in previous section, users are able to deploy custom network delay distributions.
Specifically, user captures a ping
trace file and deployed to Fogify.
The deploy_network_distribution
requires two parameters, namely, the name
of the distribution and the file
of the distribution.
When the file is deployed to the system, Fogify is able to utilize it on the network QoS properties.
fogify.deploy_network_distribution(name, file)


arcgis.gis.tasks module¶
TaskManager¶
-
class
arcgis.gis.tasks.
TaskManager
(url: str, user: arcgis.gis.User, gis: arcgis.gis.GIS)¶ Bases:
object
Provides the functions to create, update and delete scheduled tasks.
This operation is for Enterprise configuration 10.8.1+.
Argument
Description
url
Required string. The URL to the REST endpoint.
user
Required User. The user to perform the Task management on.
gis
Required GIS. The GIS object.
-
property
all
¶ returns all the current user’s tasks
-
property
count
¶ Returns the number of tasks a user has
- Returns
Int
-
create
(item: arcgis.gis.Item, cron: str, task_type: str, occurences: int = 10, start_date: datetime.datetime = None, end_date: datetime.datetime = None, title: str = None, parameters: dict = None) → arcgis.gis.tasks._schedule.Task¶ Creates a new scheduled task for a notebook Item.
Argument
Description
item
Required Item. The item to schedule a task on.
cron
Required String. The CRON statement. This should be in the from of:
<minute> <hour> <day of month> <month> <day of week>
Example to run a task weekly, use: 0 0 * * 0
task_type
Required String. The platform to execute the notebook on. For notebook server tasks use: ExecuteNotebook, for Insights notebook use: UpdateInsightsWorkbook.
occurences
Optional Integer. The total number of instance that can run at a single time.
start_date
Optional Datetime. The begin date for the task to run.
start_date
Optional Datetime. The end date for the task to run.
title
Optional String. The title of the scheduled task.
parameters
Optional Dict. Optional collection of Key/Values that will be given to the notebook.
- Returns
Task
-
search
(item: arcgis.gis.Item = None, active: bool = None, types: str = None)¶ This property allows users to search for tasks based on criteria.
Argument
Description
item
Optional Item. The item to query tasks about.
active
Optional Bool. Queries tasks based on active status.
types
Optional String. The type of notebook execution for the item. This can be ExecuteNotebook, or UpdateInsightsWorkbook.
- Returns
List of Tasks
-
property
Task¶
-
class
arcgis.gis.tasks.
Task
(url: str, gis: arcgis.gis.GIS)¶ Bases:
arcgis.gis.tasks._schedule.BaseTask
Represents a schduled task that can be modified for a user.
Argument
Description
url
Required string. The URL to the REST endpoint.
gis
Required GIS. The GIS object.
-
delete
() → bool¶ Removes the Task from the System.
- Returns
Boolean
-
enable
(enabled: bool) → bool¶ The enable method allows administrators to enable or disable the scheduled task..
Argument
Description
enabled
Required Boolean. If True, the status of the task is set to active. If False, the task is set active to False.
- Returns
Bool
-
property
runs
¶ Returns the Runs for the Task. The maximum number of runs returned is 30
- Returns
List
-
start
() → bool¶ Starts a task if it is actively running.
- Returns
Bool
-
stop
() → bool¶ Stops a task if it is actively running.
- Returns
Bool
-
update
(item: arcgis.gis.Item = None, cron: str = None, task_type: str = None, occurences: int = 10, start_date: datetime.datetime = None, end_date: datetime.datetime = None, title: str = None, parameters: dict = None, task_url: str = None, is_active: bool = None) → bool¶ Updates the current Task
Argument
Description
item
Optional Item. The item to update the schedule for.
cron
Optional String. The executution time syntax.
task_type
Optional String. The type of task. Two valid options are ExecuteNotebook or UpdateInsightsWorkbook.
occurences
Optional Integer. The maximum number of occurrences this task should execute.
start_date
Optional Datetime. The date/time when the task will begin executing.
end_date
Optional Datetime. The date/time when the task will stop executing.
title
Optional String. The name of the task.
parameters
Optional Dict. Additional key/value pairs for execution of notebooks.
task_url
Optional String. A response URL with a set of results.
is_active
Optional Bool. Determines if the tasks is currently running.
- Returns
bool or Dict on error.
-
Run¶
-
class
arcgis.gis.tasks.
Run
(url: str, gis: arcgis.gis.GIS)¶ Bases:
arcgis.gis.tasks._schedule.BaseTask
Represents a single run of a scheduled task.
Argument
Description
url
Required string. The URL to the REST endpoint.
gis
Required GIS. The GIS object.
-
delete
() → bool¶ Removes the Task from the System.
- Returns
Boolean
-
update
(status: str = None, description: str = None)¶ Updates the Run’s Status Message and Result Message.
Argument
Description
status
Optional String. The status of the run. The allowed values are: scheduled, executing, succeeded, failed, or skipped.
description
Optional String. Updates the descriptive message associated with the current Run.
- Returns
Bool
-


We will postpone the launch
Sense of responsibility
We are making NFT platform
We don’t want to launch it hastily
The official website is temporarily closed
We are still the best reflective token system on earth
Stay Tuned
You can chat in the community first, playing boring time


Dan Alexandru
Why run a whole VM
when you only need isolation ?
E.g.: differences between development and staging environments helps reduce conflicts between teams running different software on the same infrastructure.
After the setup of Oracle DB, various PATH variables (eg: OCI_LIB_DIR) ...
If you have Python 3.5 installed, you can't install this package:
https://github.com/oracle/node-oracledb
npm install
node-gyp
gyp
Various solutions:
cleanest:
npm config set python python2.7 && npm install
With containers, typically many services (each represented as a single container) comprise an application. Applications are now able to be deconstructed into much smaller components which fundamentally changes the way they are managed in production.
Docker promotes the idea of breaking an app into multiple services and building them based on a configuration file.
https://store.docker.com/editions/community/docker-ce-desktop-windows?tab=description
note: you can't use this and VirtualBox on the same machine
For windows 10 (Pro/ Enterprise/ Education, minimum build: 10586) use:
For ubuntu use this:
Otherwise:
After running DockerToolbox.exe
You should have this icon on your desktop
Run this shortcut, and you should see similar output
If boot2docker has been succesful and you have approved the creation of the network adapters
You should now have this VM in VirtualBox
You may need to configure port forwarding, besides
(if you intend to deploy web apps on Windows)
EXPOSE <port>
In this context, the first option is good
Obs: Try Digital Ocean for devops/linux tutorials.
Add apt-repo for the install location
Install it ...
Check if the command works
Check a (random) docker image
Don't forget about sudo.
Docker Swarm
Docker Swarm Demo
The Kubernetes master is responsible for maintaining the desired state for your cluster. When you interact with Kubernetes, such as by using the kubectl command-line interface, you’re communicating with your cluster’s Kubernetes master.
The nodes in a cluster are the machines (VMs, physical servers, etc) that run your applications and cloud workflows. The Kubernetes master controls each node; you’ll rarely interact with nodes directly.
A pod is a Kubernetes abstraction that represents a group of one or more application containers (such as Docker or rkt), and some shared resources for those containers.
A ReplicationController ensures that a specified number of pod "replicas" are running at any one time. In other words, a ReplicationController makes sure that a pod or group of pods are always up and available.  If there are too few, the ReplicationController will start more.
The kubelet is the primary “node agent” that runs on each node.
kubectl cluster-info (~ docker ps ?)
check with: minikube status
minikube ip
minikube logs
minikube dashboard
minikube config
minikube <start | stop> (~ docker-machine start)
for cloud providers
Download:
kubectl: http://storage.googleapis.com/kubernetes-release/release/v1.4.0/bin/windows/amd64/kubectl.exe
move to C:/, and add to PATH
minikube:
https://github.com/kubernetes/minikube/releases/download/v0.17.1/minikube-installer.exe
add to PATH (apparently)
Check if the following commands work:
kubectl version
minikube version
Obs: Logs (and metadata) now stored in:
%HOMEPATH%\.minikube
Start a new cluster:
minikube start --kubernetes-version="v1.4.0"
--vm-driver="virtualbox"
--show-libmachine-logs --alsologtostderr
You should see yet another VM in VirtualBox:
careful with enters, they will be ignored !
kubectl proxy --address="localhost" --port=9090
Serve admin dashboard from VM:
ubuntu 14.04 (trusty):
sudo apt-get update
sudo apt-get install snapd
sudo groupadd lxd && sudo usermod -a -G lxd $USER
sudo reboot
sudo snap install conjure-up --classic
conjure-up kubernetes
sudo snap install conjure-up --classic
conjure-up kubernetes
ubuntu 16.04 (xenial):
There is no "silver bullet".
Docker + Kubernetes IS NOT
the ONLY recipe you can use for deployment
You can check stacks behind known sites:
Or, in theme with this presentation:
https://stackshare.io/stackups/docker-compose-vs-kubernetes-vs-rancher
https://docs.docker.com/engine/getstarted/step_four/ (old)
https://docs.docker.com/get-started/ (it's changed frequently)


What we are
Who, where, when and why
languageMap
Find a provider near you
Use our map to find a local provider to bring you what you need
assignment_indProviders
Current Providers
Our providers are normal people driving around. Even you can be a provider


We're gonna be learning about math. more specifically, real numbers. By definition, any whole number is a rational number (in particular zero is a rational number.) You can add, subtract, multiply and divide any pair of rational numbers and the result will again be a rational number (provided you don’t try to divide by zero). One day in middle school you were told that there are other numbers besides the rational numbers, and the first example of such a number is the square root of two. It has been known ever since the time of the greeks that no rational number exists whose square is exactly 2.
Of course you can never write all the digits in the decimal expansion, so you only write the first few digits and hide the others behind dots. To give a precise description of a real number (such as 2) you have to explain how you could in principle compute as many digits in the expansion as you would like. During the next three semesters of calculus we will not go into the details of how this should be done.
Why are real numbers called real? All the numbers we will use in this first semester of calculus are “real numbers.” At some point (in 2nd semester calculus) it becomes useful to assume that there is a number whose square is −1. No real number has this property since the square of any real number is positive, so it was decided to call this new imagined number “imaginary” and to refer to the numbers we already have (rationals, √2-like things) as “real.”
Unfortunately we would soon discover that there don’t seem to be any rational numbers which, when squared, are exactly 2. Let us call x = √2 (the square root of 2). If we can’t find this new number among the rational numbers it must belong to some group of numbers we have not discovered yet. Let us call these new numbers the irrational numbers. Irrational numbers are those numbers which can’t be written as fractions. But how do we know that irrational numbers exist at all and that √2 is one of them? Maybe we just need to look harder to find a fraction which, when squared, is 2? Below is a proof to show that √2 is irrational. We shall first assume that √2 is rational and can be written as a fraction. Then we do a few logical operations and deduce something that can’t possibly be right: a contradiction. If all our steps were valid, this means that the assumption we started with, that √2 is rational, must be wrong. And then we know that√2 is indeed irrational.
Now we know that these irrational numbers do exist, and we even have one example: √2. It turns out that most other roots are also irrational. The constants π and e are also irrational. Just like rational numbers have repeating decimal expansions (or finite ones), the irrational numbers have no repeating pattern. Together, the irrational and rational numbers are called the real numbers which are often written as R. These are all numbers we can see along the number line.
If we combine real and imaginary numbers, like in 2 + 3i, we get complex numbers. These are best represented in a coordinate system were the x-axis shows the real part and the y-axis shows the imaginary part of the complex number. This is called the Complex plane or Argand diagram, named after the mathematician Jean-Robert Argand (1768 – 1822).


This room will be for you to give feed back about the game.We want you all to give both good and bad feed back about the game to make our game better.If you spot any bugs please let us know.Down below will be a group chat to talk to everyone who has played this game and make friends.There is also a box right above it where you can talk to us the makers of this product.And if you have and if you have a story to tell we are here to talk.We hope you enjoy the game and get a better understanding about racism and gun violence.
This game will put you in real life situations that have to deal with racism and gun violence.When you are faced with these situations you are going to have to pick a solution.When you pass one situation at the end we will tell you the story of the person who faced this in real life.Then you get to see what they did to get thorguh the tough situation.Again if you have delt with racism or gun violence and want your story to be heard let us know down at the feed back box.


{% extends "base.html" %} {% block title %} {{ puzzle.spoiler_free_title }} / Answers {% endblock %} {% block main %}
You are not spoiled on this puzzle. I'm not sure you want to be assigning tags to it.
If you really want to, you can click back to it and spoil yourself.
{% endif %} {% endblock %}


A common base class for reference items such as C# Projects and DLLs to be added to MSBuild.
More...
|
| override string | ToString () |
| | A much more readable string representation of this reference item info. More...
|
| |
A common base class for reference items such as C# Projects and DLLs to be added to MSBuild.
◆ ReferenceItemInfo()
| Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.ReferenceItemInfo |
( |
UnityProjectInfo |
unityProjectInfo, |
|
|
Guid |
guid, |
|
|
Uri |
referencePath, |
|
|
string |
name |
|
) |
| |
|
protected |
Creates a new instance.
- Parameters
-
| unityProjectInfo | Instance of parsed unity project info. |
| guid | The unique Guid of this reference item. |
| referencePath | The output path to the reference item. |
| name | The name of the reference. |
◆ ToString()
| override string Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.ToString |
( |
| ) |
|
A much more readable string representation of this reference item info.
◆ Guid
| Guid Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.Guid |
|
get |
Gets the Guid associated with the reference.
◆ InEditorPlatforms
| IReadOnlyDictionary<BuildTarget, CompilationPlatformInfo> Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.InEditorPlatforms |
|
getprotected set |
Gets a set of platforms supported for the InEditor configuration.
In the editor, we can support all platforms if it's a pre-defined assembly, or an asmdef with Editor platform checked. Otherwise we fallback to just the platforms specified in the editor.
◆ Name
| string Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.Name |
|
get |
Gets name of the reference item.
◆ PlayerPlatforms
| IReadOnlyDictionary<BuildTarget, CompilationPlatformInfo> Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.PlayerPlatforms |
|
getprotected set |
Gets a set of platforms supported for the Player configuration.
In the player, we support any platform if pre-defined assembly, or the ones explicitly specified in the AsmDef player.
◆ ReferencePath
| Uri Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.ReferencePath |
|
get |
Gets the output path to the reference.
◆ UnityProjectInfo
| UnityProjectInfo Microsoft.MixedReality.Toolkit.MSBuild.ReferenceItemInfo.UnityProjectInfo |
|
getprotected |
Gets the instance of the parsed project information.
The documentation for this class was generated from the following file:
- C:/Users/Thomas Peters/UnityProjects/MoveToCode/Assets/MRTK/Tools/MSBuild/Scripts/ReferenceItemInfo.cs


Evaluate the swarm data, then promote the model to start predicting
.
The model is running.
Average error:
SMAPE:
Grok is continually examining the data stream and making predictions. The prediction
output data will automatically appear in the associated Excel table.


Origin:
uknown
Current Location:
unknown
Total Distance Traveled:
0 km
Current Speed:
0 km/h
Acceleration:
0 m/s/s
Save Trip Information


American fugitive who shot Thai wife hostage ‘brain dead’
by Coconuts BangkokThe American man who took his own wife hostage in a standoff with police before shooting her and himself remains comatose, police said today.
Bart Allen Helmus is “completely unconscious” at the Sa Kaeo Crown Prince Hospital, Lt. Col. Bunnak Tachoo said, two days after a police dragnet tracked the 39-year-old and two other fugitives from Pattaya to a location near the border with Cambodia.
US fugitive shoots pregnant wife hostage, self in standoff with Thai police
Bunnak said Friday morning by phone that Helmus was still in a coma as of yesterday. He didn’t know Helmus’ present condition as of Friday morning and referred inquiries to the hospital.
Police have notified the U.S. Embassy to in turn inform Helmus’ family, he added.
Col. Pirom Chandrapirom, chief of police in Sa Kaeo city, where Wednesday’s standoff occurred, said he did not know the current condition of Helmus but said he’s assigned a lower-ranking cop to the hospital room.
The Sa Kaeo Crown Prince Hospital director Phuwadol Kittwattanasarn said Helmus was brain dead and unresponsive.
Helmus shot Sirinapa Wisetrit, his wife after taking her hostage as police closed in on the three fugitives in Sa Kaeo’s Wattananakorn district.
They had been sought after stabbing a cop and busting out of a Pattaya courtroom where they were on trial for drug-related charges.
Related:
US fugitive shoots pregnant wife hostage, self in standoff with Thai police


Gameplay
The game pits two teams against each other: the Terrorist and the Counter-Terrorists. Both sides are tasked with eliminating the other while also completing seperated objectives, the Terrorists, depending on the game mode, must either plant the bomb or defend the hostages, while Counter-Terrorists must either prevent the bomb from being planted, defuse the bomb, or rescue the hostages. There are eight game modes, all of which have distinct characteristics specific to that mode.
Counter-Strike : Global Offensive
CS:GO is a multiplayer FPS video game developed by Hidden Path Entertainment and Valve Corporation. It is the fourth game in the Counter-Strike series and was released for MS Windows, OS X, Xbox 360 and Playstation 3 in August 2012, with Linux version released in September 2014. Originally released as a retail product, Global Offensive became F2P in December 2018.
Matchmaking
Global Offensive has matchmaking support that allows players to play on dedicated Valve servers, as well as allowing members of the community to host their own servers with custom maps and game modes. Global Offensive has a competitive scene, with Valve-sponsored tournaments being the premier competitive events for the game. Global Offensive received positive reviews from critics. The game was praised for its overall gameplay and faithfulness to the previous iterations in the series. Some of the early features were criticized, and while the console versions received positive reviews, reviewers believed there were obvious differences between the console and PC versions of the game.


This is a simple Index Space View using point geometry with a circle texture:
This is a simple Index Space View using point geometry with a square texture:


Chat Username
Input a username, 16 characters or fewer
Join Chat
Incoming Call
From user
Accept
Reject
Video Call
Call user
?
Yes
No
Online Now
Chatiotry
by Eagleking studio


In the future, info needed for an account:
- Teacher name
- School name
- School email address (verification process)
- City, State or City/Country
- Unique username
For demo purposes, click "Register" in the upper-right and create an account.
Hi !
Functionality yet to be implemented...
- Upload classes and rosters
- Create Class, such as Period 5 Astronomy
- Upload roster for each class
- Assign Investigations (select from drop-down menu)
- Assign level of challenge (buttons or drop-down menu). Selections made here can be saved and applied to other investigations. The default level is Average for all. Click Skip to select this option.
- Create groups (This is an option. Some instructors will not use it. For those who do, the notebooks will be assigned to each group, not each individual:
- Enter number of people in group
- Assign randomly (this option will parse the roster and create groups based on the number entered above. Each group should be designated with a name or number.)
- Assign by challenge level (students in group are all at the same challenge level)
- Mix challenge levels (groups have students of mixed abilities)
- Assign by selection (teacher manually selects group members)
- There should be an option to save the groups for future investigations.
- There should also be options to edit, export and print groups.
- Assign data
- Check student progress (class view or roster list shows options such as: not started, in progress, data submitted*, notebook submitted) *In some activities, teachers may ask for data sets to be submitted prior to completion of the notebook activity so that they may be combined into one large class set
- Recognition: printable certificates for students
For demo purposes, click "Logout" in the upper-right.


Before Change
county_names = []
county_rates = []
for county_id in us_counties.data:
if us_counties.data[county_id]["state"] != state:
continue
rate = unemployment.data[county_id]
idx = min(int(rate/2), 5)
county_colors.append(colors[idx])
county_names.append(us_counties.data[county_id]["name"])
county_rates.append(rate)
After Change
from bokeh.sampledata.us_counties import data as counties
from bokeh.sampledata.unemployment import data as unemployment
counties = {
code: county for code, county in counties.items() if county["state"] == "tx"
}
county_xs = [county["lons"] for county in counties.values()]
county_ys = [county["lats"] for county in counties.values()]
colors = ["//F1EEF6", "//D4B9DA", "//C994C7", "//DF65B0", "//DD1C77", "/"]
county_names = [county["name"] for county in counties.values()]
county_rates = [unemployment[county_id] for county_id in counties]
county_colors = [colors[int(rate/3)] for rate in county_rates]
source = ColumnDataSource(data=dict(


Middleware provide a convenient mechanism for filtering route requests entering your application. For example, you can includes a middleware that verifies the user of your application is authenticated. If the user is not authenticated, the middleware will redirect the user to the login screen. However, if the user is authenticated, the middleware will allow the request to proceed further into the application.
Your application must use xin-app to use middleware to enable routing.
Write implementation of middleware as 'components/foo-middleware.js'
import { Middleware } from '@xinix/xin/components';
class FooMiddleware extends Middleware {
callback (options) {
return async function (ctx, next) {
// do something here
await next();
// or do something after routed here
};
}
}
define('foo-middleware', FooMiddleware);
Use middleware in 'components/foo-app.js' like follows:
import './foo-middleware';
class FooApp extends App {
get template () {
return `
<foo-middleware></foo-middleware>
...
`;
}
}
define('foo-app', FooApp)


A quick tale about least known parameter of function that everyone knows
As always there were two approches:
As there were no agreement all browsers implements both models
Default is useCapture = false
When listener needs to process every event, example:
My own barcode scanner library
Thank You!


| I l@ve RuBoard |
Describing a directory. Write a function that takes a directory name and describes the contents of the directory, recursively (in other words, for each file, print the name and size, and proceed down any eventual directories).
Modifying the prompt. Modify your interpreter so that the prompt is, instead of the >>> string, a string describing the current directory and the count of the number of lines entered in the current Python session.
Avoiding regular expressions. Write a program that obeys the same requirements as pepper.py but doesn't use regular expressions to do the job. This is somewhat difficult, but a useful exercise in building program logic.
Wrapping a text file with a class. Write a class that takes a filename and reads the data in the corresponding file as text. Make it so that this class has three methods: paragraph, line, word, each of which take an integer argument, so that if mywrapper is an instance of this class, printing mywrapper.paragraph[0] prints the first paragraph of the file, mywrapper.line[-2] prints the next-to-last line in the file, and mywrapper.word[3] prints the fourth word in the file.
Common tasks. These exercises don't have solutions in Appendix C, but instead are selected from the examples shown in Chapter 9. Try them now before you read Chapter 9 if you wish to be challenged!
How would you make a copy of a list object? How about a dictionary?
How would you sort a list? How about randomizing the order of its elements?
If you've heard of a stack data structure before, how would you code it?
Write a program to count the number of lines in a file.
Write a program that prints all the lines in a file starting with a # character.
Write a program that prints the fourth word in each line of a file.
Write a program that counts the number of times a given word exists in a file.
Write a program that looks for every occurrence of a string in all the files in a directory.
| I l@ve RuBoard |


--- layout: page status: publish published: true title: How to Connect to the SGID via ArcSDE author: display_name: Zach Beck login: Zach Beck email<EMAIL_ADDRESS>url: '' author_login: Zach Beck author_email<EMAIL_ADDRESS>wordpress_id: 5828 wordpress_url: http://gis.utah.gov/?page_id=5828 date: '2012-04-10 13:58:58 -0600' date_gmt: '2012-04-10 19:58:58 -0600' categories: [] tags: - SDE - sgid - Data - utah - gis - map - mapping - dataset - download - agrc - layer - shapefile - geodatabase - metadata - shp - gdb - kml - lyr - digital - geographic - information - database - state - statewide - vector - overview - category - services - daas - arcgis ---
The SGID is also available via an ArcSDE database connection for users within the State of Utah network. Users with ArcGIS desktop clients that are at 10.2.1 or higher can use this resource. Organized loosely around ISO categories, feature classes within ArcSDE are accessible by an ArcMap or ArcCatelog client. The big benefits for doing so are that you connect to the most current data, your hard drive won't fill up as fast, and all the data is available in the same place.
How to connect to SGID via ArcSDE connection:
1. In ArcCatalog or ArcMap (from Add Data), browse to Add Spatial Database Connections
2. Provide the following connection information, including the password 'agrc'.


{% load static widget_tweaks%}
View Sales Statement
View Sales Statement
{% block content %}
Select From:
Select End
{% csrf_token %}
{% render_field form.from_date%}
{% render_field form.end_date class+="form-control " %}
View
{% endblock %}


Exceptions raised by the Horizon code and the machinery for handling them.
Bases: horizon.exceptions.HorizonException
Exception to be raised when trying to create an API resource which already exists.
Bases: horizon.exceptions.HorizonException
Exception to be raised when invalid settings have been provided.
Bases: horizon.exceptions.HorizonException
Generic error to replace all “Conflict”-type API errors.
Bases: horizon.exceptions.HorizonException
Used internally to track exceptions that have gone through horizon.exceptions.handle() more than once.
Bases: exceptions.Exception
Base exception class for distinguishing our own exception classes.
Bases: django.views.debug.SafeExceptionReporterFilter
Error report filter that’s always active, even in DEBUG mode.
Replaces the values of variables marked as sensitive with stars (*****).
Bases: horizon.exceptions.HorizonException
Error class which can be raised from within a handler to cause an early bailout and redirect at the middleware level.
Bases: horizon.exceptions.HorizonException
Raised when a user is trying to make requests and they are not logged in.
The included HorizonMiddleware catches NotAuthenticated and handles it gracefully by displaying an error message and redirecting the user to a login page.
Bases: horizon.exceptions.HorizonException
Raised whenever a user attempts to access a resource which they do not have permission-based access to (such as when failing the require_perms() decorator).
The included HorizonMiddleware catches NotAuthorized and handles it gracefully by displaying an error message and redirecting the user to a login page.
Bases: horizon.exceptions.HorizonException
Exception to be raised when something is not available.
Bases: horizon.exceptions.HorizonException
Generic error to replace all “Not Found”-type API errors.
Bases: horizon.exceptions.HorizonException
Generic error to replace any “Recoverable”-type API errors.
Bases: horizon.exceptions.HorizonException
Raised when a requested service is not available in the ServiceCatalog returned by Keystone.
Bases: horizon.exceptions.HorizonException
Exception to be raised when something goes wrong in a workflow.
Bases: horizon.exceptions.HorizonException
Exception raised during workflow validation if required data is missing, or existing data is not valid.
Checks an exception for given keywords and raises a new ActionError with the desired message if the keywords are found. This allows selective control over API error messages.
Centralized error handling for Horizon.
Because Horizon consumes so many different APIs with completely different Exception types, it’s necessary to have a centralized place for handling exceptions which may be raised.
Exceptions are roughly divided into 3 types:
All other exceptions bubble the stack as normal unless the ignore argument is passed in as True, in which case only unrecognized errors are bubbled.
If the exception is not re-raised, an appropriate wrapper exception class indicating the type of exception that was encountered will be returned.


I'm A Celebrity fans worry as 'accident prone' Dec Donnelly sports second injury
I'm A Celebrity's Dec Donnelly joked he was 'accident prone' after appearing to cut his finger, with fans noticing his plaster
by Irishmirror.ieI'm A Celebrity viewers noticed Dec Donnelly sporting a slight injury in the latest episode of the ITV jungle series.
Some fans even aired their "worry" for Ant McPartlin's co-host on Twitter , with him confessing he was a little "accident prone" at the moment.
As Ant and Dec returned for the latest episode, eagle-eyed fans quickly spotted a plaster around one of Dec's fingers.
While the tiny injury wasn't addressed, fans assumed he'd suffered a cut and wondered what had happened.
Just days ago Dec addressed a separate injury after fans spotted marks on his arm.
This time around, Dec did respond to concern with a light-hearted tweet but didn't explain the need for the plaster.
 We worry!!!!"
Several other fans liked the comment and shared their own concern.
Dec responded: "So accident prone atm! D x."
So there's no need to worry Dec fans, he's all good.
Earlier on in the week Dec explained the mystery marks on his arm were in fact burns after a separate incident.
Viewers took to Twitter throughout the particular episode to ask if he was okay, wondering what had happend.
Dec wrote: “Nothing exciting unfortunately. I scalded myself while sterilising Isla’s dummies!”
Fans then responded to the news to warn Dec of the hazards of being a father.
“Oh Dec, life of a dad,” one follower replied - along with a couple of crying-with-laughter emojis.
“Bless ya Dec you’re a good dad for Isla,” commented another.
I'm A Celebrity airs nightly at 9pm on ITV.


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Circuit JS SDK - Add participant to call
This example shows how to:
logon using OAuth and logout
start a conference call
dial out a PSTN user to be added to the call
dial out a Circuit user to be added to the call
ring out all conversation members
handle callStatus and callEnded events
Logon
Logout
(
Disconnected
)
Start conference
Leave
Dial out
or
Ring all


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FCS Teaching Topics: Rubrics, Time Saving Techniques
TAKE-AWAYS
There are three different types of rubric (scroll down to see examples)
- Analytic Rubric - the most common type in higher education, very prescribed
but can be extremely effective (Mertler, 2001).
- Holistic Rubric - describes criteria per a grade band, very broad based
(University of Northern Florida, n.d.).
- Single Point - success criteria is set within a grade band. Opportunities
for written feedback to students can be given on either side of the
criteria for how they need to improve to meet the criteria or how they exceeded it (Fluckiger, 2010).
Factors that hinder rubrics
- Poorly designed rubrics (too much information per criterion or not enough)
- Lack of clarity in the criteria on what students need to do to succeed
- Omission of feedback to student on what it is they need to focus on to improve
results
Advantages
- An analytic rubric unpacks an assignment into parts (categories), allowing
the instructor to
itemize and define exactly what aspects are strong, and which ones need improvement by specifying
criteria per category.
- It gives students a clearer picture of why they got the score they got -
without having to explain
everything in a later conversation.
- They are useful as they cover all possible outcomes. Time must be given to
create clear
performance levels to be clear on exactly what every level of performance looks like.
Disadvantages
- An Creating them takes time. Defining all the ways the work could go
wrong, and all the ways it
could exceed expectations, is a time consuming task
- Students won’t necessarily read (engage with) the rubric, meaning
they won’t clearly
understand what’s expected of them.
- Need for additional feedback. Many assessors still feel that they
still provide some written
feedback as they want to explain further why a student may have received a certain mark; the
criteria doesn't always fit what a student has done in a specific category.
Holistic Rubrics
A holistic rubric is the most general kind. It lists three to five levels of performance,
along with a
broad description of the characteristics that define each level. The levels can be labeled with numbers
(such as 1 through 6), letters (such as A through F) or words (such as Beginning through
Exemplary).
What each level is called isn’t what makes the rubric holistic — it’s the way the characteristics are all
lumped together (Gonzales, 2014).
Advantages:
- It takes less time to create
- Typically less time to assess.
Disadvantages:
- It doesn't provide targeted feedback to students, they are unlikely to learn much about what
they
need to do to improve.
They are most useful in standardized assessments where feedback is not required.
Single Point Rubric - the best for last!
A single-point rubric is a simple and streamlined way to calibrate
marking (very similar to an
analytic rubric; as it unpacks the components of an assignment into various criteria. The clear
difference is that it only describes the criteria for proficiency; it does not attempt to
list all the ways
a student could fall short, nor does it specify how a student could exceed expectations (University of
North Florida, n.d.).
See Template 1 and 2 below:
Creating Rubrics
Rubrics can be created in Brightspace or simply in a document. Please do contact me if you
would like some training on creating rubrics in Brightspace or other formats.
Would you like to know more?
Drop by for a chat at The Academic Loop 239
Cell Number:<PHONE_NUMBER>
I'm looking forward to working with you - Stephanie Bernier


Peyton Manning launches long pass to Nuggets' mascot during NBA timeout
by Bob D'Angelo, Cox Media Group National Content DeskDENVER -
Peyton Manning still cannot resist throwing a pass.
The retired NFL quarterback was sitting in the stands when the Denver Nuggets hosted the Boston Celtics on Friday night, WBIR reported.
During a timeout in the fourth quarter, the Nuggets' mascot, Rocky, tossed a pass to Manning, who caught it.
Manning, who had a career completion rate of 65.3% during his 17-year NFL career, then launched a pass toward the mascot, who was streaking on a "long" pass pattern on the court.
The spiral was true, but the ball went through the mascot's paws.
Here is the moment:
© 2019 Cox Media Group.


---
layout: default
title: Demo
permalink: /demo/
published: true
---
Amount Per Serving
|
% Daily Value* |
Ingredients:
* Percent Daily Values are based on a 2,000 calorie diet. Your daily values may be higher or lower depending on your calorie needs.
† Percent Daily Value not determined.


Read Me for the Amazon Mechanical Turk SDK for Java v1.2.2
The Amazon Mechanical Turk SDK for Java is a set of libraries and tools designed to make it easier for you to build solutions leveraging Amazon Mechanical Turk. The goals of the SDK are:
- To abstract you from the "muck" of using web services
- To simplify using the various Amazon Mechanical Turk APIs
- To allow you to focus more on solving the business problem and less on managing technical details
Version Information
This distributable contains the Amazon Mechanical Turk SDK for Java version 1.2.2.
The SDK is compatible with Amazon Mechanical Turk web service version 2007-06-21.
The Amazon Mechanical Turk team would appreciate any comments and feedback on the SDK.
Please submit issues on the SourceForge project.
SDK Contents
The SDK distributable contains the following content:
- Overview of the Amazon Mechanical Turk SDK for Java to help you get started with the SDK.
- Pre-compiled binaries ready to be used for development.
- Set of sample applications demonstrating various aspects of the SDK and Amazon Mechanical Turk.
- Javadoc style documentation for SDK
- Source code for SDK and Apache Ant build script to rebuild the SDK.
Revision History
Version 1.2.2 - April 24, 2008
- Bug Fix:1936985 - no results if the HIT has more than 10 assignments.
- Bug Fix:1939778 - The number of retrieved results displayed is off by one
- Bug Fix:1939779 - totalAssignmentsCompleted is double counted
- Feature: 1899195 - Add a link to manageHIT page in results file
Version 1.2.1 - February 6th, 2008
- New Feature: 1836115 - Add some additional line feeds when outputting the URL.
- New Feature: 1836118 - GetResults should output rows with no assignments.
- New Feature: 1836126 - always override .success, .results files.
- New Feature: 1838902 - Add exponential back off to handle throttling.
- New Feature: 1838914 - Change the default delimiter to tab.
- Fixed: 1836109 - The generated .success file is a Unix file even in Windows.
- Fixed: 1836111 - GetResults has missing columns when value is NULL.
- Fixed: 1836114 - GetResults: Retrieved HIT number is misleading.
NOTE: The default delimiter is now tab. We reverted the change in the last version which made the default delimiter to be comma.
NOTE: We migrated to using JaxMe 2 instead of JAXB. As a result, the auto-generated class names in aws-mturk-dataschema.jar are slightly different than the previous version. If your application directly depends on the classes in aws-mturk-dataschema.jar, you'll need to update your code due to these changes.
NOTE: We're no longer providing junit as a part of the distributable. This means that you will have to download it for tests. This version of the SDK was built using junit 4.4. See the Overview for more information on using junit.
Version 1.2.0 - October 12th, 2007
- New Feature: 1796739 - Added multi-threading support to batch functions in order to significantly speed up operations such as creating, updating and retrieving results of HITs.
- New Feature: 1796673 - Added proper CSV support so that the CSV output file conforms to CSV file format standards by leveraging the opencsv library.
NOTE: The default delimiter is now a comma and no longer defaults to a tab.
Version 1.1.1 - September 13th, 2007
- New Feature: 1791360 - Update code to include new QuestionForm functionality.
- Fixed: 1788853 - AssignQualification does not handle sendNotification flag.
Version 1.1.0 - August 20th, 2007
- New Feature: Updated to the 2007-06-21 WSDL version.
- New Feature: Support for ChangeHITTypeOfHIT, including updateHIT helper methods.
- New Feature: Added GetAllQualificationRequests method to RequesterService.
- New Feature: Removed singleton ClientConfig instance in RequesterService. You can now have multiple instances of RequesterService with different Configs in the same jvm instance.
- New Feature: Added FilterChain functionality. Developers can write their own Filters which extend com.amazonaws.mturk.filter.Filter to handle requests, responses and errors from service calls.
- New Feature: Added RetryFilter to retry on throttling errors. The Developer Sandbox will return throttling errors when the rate of requests exceed the limits.
- New Feature: SDK will default to look for authentication information in $HOME/.aws/auth
- Improvement: Included automated tests for the SDK.
- Improvement: Deprecating config-less instantiation and refactoring Input/Output handlers.
- Fixed: Adding UTF-8 support for writing output.
Version 1.0.1 - June 15th, 2007
- New Feature: When retrieving results, the data is streamed directly to the Results file instead of being cached in memory and written at once. Avoids out of memory errors when retrieving large data sets.
- New Feature: The generated Results file now orders the question/answer pairs based on the order they appear in the QuestionForm instead of being ordered alphabetically.
- New Feature: Progress indicator when results are being retrieved from the system.
- Fixed: Batch operations halt when the first error is encountered instead of skipping and continuing.
- Fixed: Removed some extraneous files from the distribution.
Version 1.0.0 - June 4th, 2007
- New Feature: User specified logging has been added to aid debugging and reporting issues to Amazon Mechanical Turk.
- New Feature: SDK for Java supports the Amazon Mechanical Turk Developer Sandbox http://sandbox.mturk.com.
- New Feature: The location of the mturk.properties file can be specified to the SDK classes.
- Fixed: SetWorkerAcceptLimit operation is not compatible with Mechanical Turk.
- Fixed: Retrieving assignments for a HIT over a certain number causes the code to lockup.
- Fixed: Time format in Results file should be standard 0-23 hr format instead of 1-24 format.
- Fixed: QuestionForm validation fails when using ExternalQuestion functionality
- Fixed: QuestionForm validation does not validate the XHTML contained in the FormattedContent blocks of the QuestionForm. It will currently ignore content inside FormattedContent blocks.
- Fixed: The ordering of the name/value pairs of the HIT results output file is inconsistent.
- Fixed: When writing the .success and .failure files, it overwrites the file instead of appending.
- Fixed: The .failure file is output if there are no failures. It should only exist if there are errors.
Version 0.9.0 Beta - March 27th, 2007
Comments, Questions or Feedback
If you have any comments, questions, or feedback concerning the Amazon Mechanical Turk SDK for Java, please visit our SourceForge project page.
If you have any comments, questions, or feedback concerning the Mechanical Turk service in general, please visit the Amazon Mechanical Turk discussion Amazon Mechanical Turk discussion forums.


Ocean [ai51], ocean, in The Inner Sea
Last updated Turn #100
Ocean [ai51], ocean, in The Inner Sea
------------------------------------------------------------------------
26: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
26: 30% damaged, arrived from Ocean [ai50], owner:
26: Phantasm [n4b], Imperial Empire, duke, with eight sailors
27: The Savvy Aardvark [ha5r], ship, 2 hulls, 1 rowing port, 6 sails,
27: 30% damaged, departed for Ocean [ai52].
Routes leaving Ocean:
North, to Ocean [ah51], Crystal Sea, 6 days
East, to Ocean [ai52], 6 days
South, to Ocean [aj51], 6 days
West, to Ocean [ai50], 6 days


Determined web developer with a focus on creating friendly user-based applications through creativity and ingenuity derived from my hobbies of photography and graphic design.
By leveraging my background in sales and finance, combined with my passion for data management and solving complex problems, I bring a unique perspective to tackling challenges from different angles. Retail empowered me to become a leader while working in large groups, whereas finance improved my analytical thinking while dealing with large data. The UC Berkeley coding bootcamp improved my skills in Javascript and HTML while also introducing new technologies like MySQL, Node.js, and Firebase so I can achieve my career goal of becoming a Software Architect.
Whether being quick on my feet on the sales floor or solving complex codes on the laptop, my persistence and passion for coding and solving complex problems drives me to provide excellent service to users.https://github.com/mawais54013


So a while ago I made this thing for tf5 users that separates puppets out into
their own worlds. I've been using it for a while and I thought I might as well
share it - the code follows; to use it, stick it into your init file and type
/puppet PuppetName puppetcommand
This will create a world called 'PuppetName', to which the contents of all lines
received from the world you typed the command into that begin with 'PuppetName>'
will be sent (excluding the 'PuppetName'.) The right angled bracket is there so
that /echo will not think you are attempting to use a nonextant option if a line
sent to the puppet begins with a dash.
When you're done with your puppet world, you can make it go away by typing:
/kpuppet PuppetName
which redefines the defined macros to empty macros and 'disconnects' you from
the world: your connection should then behave as before.
Feel free to further modify, share, tweak, etc. (you could consider this public
domain if you wish.)


Shorthand functions for cwl packages constructors
| type | [ANY] Specify valid types of data that may be assigned to this parameter. |
|---|---|
| label | [character] A short, human-readable label of this parameter object. |
| description | [character] A long, human-readable description of this parameter object. |
| streamable | [logical] Currently only applies if type is File. A value of true indicates that the file is read or written sequentially without seeking. An implementation may use this flag to indicate whether it is valid to stream file contents using a named pipe. Default: false. |
| default | [ANY] The default value for this parameter if not provided in the input object. |
| ... | For |
CLB <- CommandLineBinding argslist <- CLBList <- CommandLineBindingList COB <- CommandOutputBinding IPList <- InputParameterList OPList <- OutputParameterList InPar <- InputParameter OutPar <- OutputParameter
[integer] The sorting key. Default position is 0.
[character] Command line prefix to add before the value.
[logical] If true (default) then the prefix and value must be added as separate command line arguments; if false, prefix and value must be concatenated into a single command line argument.
[character] Join the array elements into a single string with the elements separated by by itemSeparator.
[characterOrExpression] If valueFrom is a constant string value, use this as the value and apply the binding rules above. If valueFrom is an expression, evaluate the expression to yield the actual value to use to build the command line and apply the binding rules above. If the inputBinding is associated with an input parameter, the "context" of the expression will be the value of the input parameter. When a binding is part of the CommandLineTool.arguments field, the valueFrom field is required.
[characterORExpression] Find files relative to the output directory, using POSIX glob(3) pathname matching. If provided an array, match all patterns in the array. If provided an expression, the expression must return a string or an array of strings, which will then be evaluated as a glob pattern. Only files which actually exist will be matched and returned.
[Expression] Evaluate an expression to generate the output value. If glob was specified, the script context will be an array containing any files that were matched. Additionally, if loadContents is true, the file objects will include up to the first 64 KiB of file contents in the contents field.
[logical] Only applies when type is File. Read up to the first 64 KiB of text from the file and place it in the "contents" field of the file object for manipulation by expressions.
Only applies when type is File. Describes files that must be included alongside the primary file. If the value is Expression, the context of the expression is the input or output File parameter to which this binding applies. Where the value is a string, it specifies that the following pattern should be applied to the primary file: If string begins with one or more caret characters, for each caret, remove the last file extension from the path (the last period . and all following characters). If there are no file extensions, the path is unchanged. Append the remainder of the string to the end of the file path.
ipl <- IPList( input( id = "bam", type = "File", label = "Bam file", description = "Input bam file", position = 1L, separate = TRUE ), input( id = "level", type = "Integer", label = "Compression Level", description = "Set compression level, from 0 (uncompressed) to 9 (best)", position = 2L ), input( id = "prefix", type = "String", label = "Prefix", description = "Write temporary files to PREFIX.nnnn.bam", position = 3L ) )


Callback
Thanks for installing PythonDemo App! Hit the "return" link below to return to your Commerce Cockpit
return


Dozens of endangered turtles disappear from Japan zoo
by AFP, StaffTOKYO, Japan - More than 60 endangered turtles have disappeared from a zoo in Japan's southernmost province in a suspected theft, officials said Thursday.
"We feed them twice a week and a keeper noticed their number was clearly low," said Kozue Ohgimi, zoo section chief at Okinawa Zoo and Museum, told AFP.
Officials later found cable ties used to secure netting over the enclosure housing the turtles had been removed at several spots.
"The nets were loose enough to enable an adult to sneak into the area," Ohgimi told AFP on the phone.
Officials fear the turtles may have been stolen for sale on the black market, where they are valued as exotic pets.
"They are traded for high prices," Ohgimi said.
The disappearances have been reported to local police, who are investigating, zoo officials said.
The turtles are small, measuring about a maximum 20 centimetres (7.9 inches) long.
In all, the zoo said 64 turtles have disappeared -- 15 Ryukyu leaf turtles and 49 yellow-margined box turtles.
Both types are on the red list of threatened species by the International Union for Conservation of Nature and Natural Resources.
Both species are also designated as "natural treasures" by Japan's cultural affairs agency -- meaning commercial trade in them is banned.


Let's say you want to create a script called imagine.sh.
To understand how to define commands, let's look at the following example. This is taken from the script's master configuration file.
commands:
mountain:
help: Indicate the the user wants to imagine a mountain setting.
aliases:
- mt
arguments:
mountain_name:
help: The name to give to the imagined item.
required: true
options:
peaks:
help: The numbe of peaks.
aliases:
- p
type: integer
Let's break the above down into parts, but first take note that it is not enough merely to define your commands in configuration, you have to handle each command in imagine.sh as well, e.g.,
if [[ "$(get_command)" == "mountain" ]]; then ...
... or with a case statment, e.g.,
case $(get_command) in
"mountain")
...
;;
Back to the configuration...
The most basic definition consists fo a command and a help topic:
commands:
mountain:
help: Install a Cloudy package from the Cloudy Package Registry.
If this was all that was defined in the configuration, users would only be able to enter:
./imagine.sh mountain
By adding one or more command aliases, you give the user options, usually for brevity in typing.
commands:
mountain:
help: Indicate the the user wants to imagine a mountain setting.
aliases:
- mt
With this configuration the user can enter either of these two and get the same effect.
./imagine.sh mountain
./imagine.sh mt
Let's say you want to collect a mountain name, you would indicate a command argument <mountain_name>
.
commands:
mountain:
...
arguments:
mountain_name:
help: The name to give to the imagined mountain.
Now the user may enter any of the following, however the user who provides the mountain name will have a different response--presumably--than the one who omits it.
./imagine.sh mountain
./imagine.sh mt
./imagine.sh mountain Everest
./imagine.sh mt Everest
But what if the name is to be requried?
commands:
mountain:
...
arguments:
mountain_name:
...
required: true
Now the user can no longer omit the <mountain_name>
argument.
commands:
mountain:
...
options:
peaks:
help: The numbe of peaks.
aliases:
- p
type: integer
yes:
help: Answer yes to all questions.
aliases:
- y
type: boolean
The user will now be entering any of the following:
./imagine.sh mt "Three Sisters" --peaks=3
./imagine.sh mt "Three Sisters" -p=3
./imagine.sh mt "Three Sisters" --yes -p=3
./imagine.sh mt "Three Sisters" -y -p=3


Loading...

Slow mode ON. Animations may look clumsy.


What is BigPicture ?
BigPicture is like an infinite notepad, in which you can pan (north/south/east/west),
but also in which you can ZOOM ! (Nearly) infinitely many times.
USAGE
######
Search : F3 or CTRL+F
Pan : click and drag
Move text : CTRL+click and drag
Zoom In : PageDown or CTRL+ or
mousewheel or double-click
Zoom Out : PageUp or CTRL- or
mousewheel or CTRL+double-click
Biggest picture : F2 (try it twice!)
Easy write in one click : click anywhere and write!
No need to go into a Toolbox and choose to create a new Textbox... Just click anywhere and write !
More features to come...
Don't forget to zoom out...
... to see the BigPicture
TODO
eat more vegetables!
buy some chocolate
Gaelle's website
playlist for next party
Tove Lo - Stay High
Ariana Grande - Love Me Harder ft. The Weeknd (Official Audio)
Cut Copy - Lights Shine On
Porter Robinson - Sea of Voices
This is not the biggest text yet...
Think outside the box.
mind mapping tool
carrots
salad
artichokes
tomatoes
spinach


What I'm doing different compared to other typing effects is that I
reserve the space of the animated text. That way other elements on the
page don't jump when the text container changes its size while typing.
And centered text is possible as well.
As well as line-breaks. Even bold text or other tags.
In this demo, multiple elements are animated after another.
You can
control the typing speed as well as the delay between two animated
elements.
Every character gets wrapped in a span
. When the animation is
done, the containers are removed and the initial state is restored. Some
fonts are rendered differently, when characters are wrapped in a tag,
especially when ligatures are turned on. Because of that, you might see an
unlovely effect where your text moves when the animation is done. To avoid
that you can disable restoring of the initial state.
I return a Promise
. So, when I'm done, you can do something
like:


PMD report
Problems found
#
File
Line
Problem
686
src/timepass/GoogleResults.java
5
Comment is too large: Line too long
687
src/timepass/GoogleResults.java
17
Avoid unused imports such as 'org.jsoup.nodes.Element'
688
src/timepass/GoogleResults.java
20
All methods are static. Consider using a utility class instead. Alternatively, you could add a private constructor or make the class abstract to silence this warning.
689
src/timepass/GoogleResults.java
20
headerCommentRequirement Required
690
src/timepass/GoogleResults.java
22
fieldCommentRequirement Required
691
src/timepass/GoogleResults.java
24
Parameter 'args' is not assigned and could be declared final
692
src/timepass/GoogleResults.java
24
publicMethodCommentRequirement Required
693
src/timepass/GoogleResults.java
27
Avoid variables with short names like pw
694
src/timepass/GoogleResults.java
27
Found 'DD'-anomaly for variable 'pw' (lines '27'-'80').
695
src/timepass/GoogleResults.java
27
Found 'DU'-anomaly for variable 'pw' (lines '27'-'107').
696
src/timepass/GoogleResults.java
28
Local variable 'outputFolder' could be declared final
697
src/timepass/GoogleResults.java
29
Found 'DD'-anomaly for variable 'output' (lines '29'-'72').
698
src/timepass/GoogleResults.java
29
Found 'DU'-anomaly for variable 'output' (lines '29'-'107').
699
src/timepass/GoogleResults.java
30
Found 'DU'-anomaly for variable 'fileName' (lines '30'-'107').
700
src/timepass/GoogleResults.java
30
Local variable 'fileName' could be declared final
701
src/timepass/GoogleResults.java
32
Local variable 'scanner' could be declared final
702
src/timepass/GoogleResults.java
34
System.out.println is used
703
src/timepass/GoogleResults.java
35
Local variable 'searchTerm' could be declared final
704
src/timepass/GoogleResults.java
37
System.out.println is used
705
src/timepass/GoogleResults.java
39
Found 'DD'-anomaly for variable 'num' (lines '39'-'40').
706
src/timepass/GoogleResults.java
43
System.out.println is used
707
src/timepass/GoogleResults.java
45
Local variable 'searchURL' could be declared final
708
src/timepass/GoogleResults.java
47
Local variable 'doc' could be declared final
709
src/timepass/GoogleResults.java
47
Potential violation of Law of Demeter (method chain calls)
710
src/timepass/GoogleResults.java
47
Potential violation of Law of Demeter (method chain calls)
711
src/timepass/GoogleResults.java
54
Local variable 'results' could be declared final
712
src/timepass/GoogleResults.java
56
Avoid variables with short names like rs
713
src/timepass/GoogleResults.java
56
Local variable 'rs' could be declared final
714
src/timepass/GoogleResults.java
57
System.out.println is used
715
src/timepass/GoogleResults.java
60
Local variable 'dir' could be declared final
716
src/timepass/GoogleResults.java
62
Local variable 'success' could be declared final
717
src/timepass/GoogleResults.java
63
Avoid unnecessary comparisons in boolean expressions
718
src/timepass/GoogleResults.java
66
Avoid catching generic exceptions such as NullPointerException, RuntimeException, Exception in try-catch block
719
src/timepass/GoogleResults.java
66
Avoid using exceptions as flow control.
720
src/timepass/GoogleResults.java
67
Avoid printStackTrace(); use a logger call instead.
721
src/timepass/GoogleResults.java
77
Avoid printStackTrace(); use a logger call instead.
722
src/timepass/GoogleResults.java
84
Local variable 'linkHref' could be declared final
723
src/timepass/GoogleResults.java
84
Potential violation of Law of Demeter (method chain calls)
724
src/timepass/GoogleResults.java
85
Local variable 'linkText' could be declared final
725
src/timepass/GoogleResults.java
85
Potential violation of Law of Demeter (method chain calls)
726
src/timepass/GoogleResults.java
86
Comment is too large: Line too long
727
src/timepass/GoogleResults.java
87
Comment is too large: Line too long
728
src/timepass/GoogleResults.java
88
Potential violation of Law of Demeter (object not created locally)
729
src/timepass/GoogleResults.java
88
Potential violation of Law of Demeter (object not created locally)
730
src/timepass/GoogleResults.java
88
String.indexOf(char) is faster than String.indexOf(String).
731
src/timepass/GoogleResults.java
92
Avoid printStackTrace(); use a logger call instead.
732
src/timepass/MetaSearchEngine.java
5
Comment is too large: Line too long
733
src/timepass/MetaSearchEngine.java
17
Avoid unused imports such as 'org.jsoup.nodes.Element'
734
src/timepass/MetaSearchEngine.java
20
headerCommentRequirement Required
735
src/timepass/MetaSearchEngine.java
21
All methods are static. Consider using a utility class instead. Alternatively, you could add a private constructor or make the class abstract to silence this warning.
736
src/timepass/MetaSearchEngine.java
23
Avoid excessively long variable names like DATACITE_META_SEARCH_URL
737
src/timepass/MetaSearchEngine.java
23
fieldCommentRequirement Required
738
src/timepass/MetaSearchEngine.java
25
Comment is too large: Line too long
739
src/timepass/MetaSearchEngine.java
27
Parameter 'args' is not assigned and could be declared final
740
src/timepass/MetaSearchEngine.java
27
publicMethodCommentRequirement Required
741
src/timepass/MetaSearchEngine.java
29
Avoid variables with short names like pw
742
src/timepass/MetaSearchEngine.java
29
Found 'DD'-anomaly for variable 'pw' (lines '29'-'84').
743
src/timepass/MetaSearchEngine.java
29
Found 'DU'-anomaly for variable 'pw' (lines '29'-'106').
744
src/timepass/MetaSearchEngine.java
30
Local variable 'outputFolder' could be declared final
745
src/timepass/MetaSearchEngine.java
31
Found 'DD'-anomaly for variable 'output' (lines '31'-'76').
746
src/timepass/MetaSearchEngine.java
31
Found 'DU'-anomaly for variable 'output' (lines '31'-'106').
747
src/timepass/MetaSearchEngine.java
32
Found 'DU'-anomaly for variable 'fileName' (lines '32'-'106').
748
src/timepass/MetaSearchEngine.java
32
Local variable 'fileName' could be declared final
749
src/timepass/MetaSearchEngine.java
34
Local variable 'scanner' could be declared final
750
src/timepass/MetaSearchEngine.java
36
System.out.println is used
751
src/timepass/MetaSearchEngine.java
37
Local variable 'searchTerm' could be declared final
752
src/timepass/MetaSearchEngine.java
39
System.out.println is used
753
src/timepass/MetaSearchEngine.java
41
Found 'DD'-anomaly for variable 'num' (lines '41'-'42').
754
src/timepass/MetaSearchEngine.java
45
System.out.println is used
755
src/timepass/MetaSearchEngine.java
48
Local variable 'searchURL' could be declared final
756
src/timepass/MetaSearchEngine.java
50
Local variable 'doc' could be declared final
757
src/timepass/MetaSearchEngine.java
50
Potential violation of Law of Demeter (method chain calls)
758
src/timepass/MetaSearchEngine.java
50
Potential violation of Law of Demeter (method chain calls)
759
src/timepass/MetaSearchEngine.java
53
System.out.println is used
760
src/timepass/MetaSearchEngine.java
57
Comment is too large: Line too long
761
src/timepass/MetaSearchEngine.java
58
Local variable 'results' could be declared final
762
src/timepass/MetaSearchEngine.java
59
Avoid variables with short names like rs
763
src/timepass/MetaSearchEngine.java
59
Local variable 'rs' could be declared final
764
src/timepass/MetaSearchEngine.java
60
System.out.println is used
765
src/timepass/MetaSearchEngine.java
64
Local variable 'dir' could be declared final
766
src/timepass/MetaSearchEngine.java
66
Local variable 'success' could be declared final
767
src/timepass/MetaSearchEngine.java
67
Avoid unnecessary comparisons in boolean expressions
768
src/timepass/MetaSearchEngine.java
70
Avoid catching generic exceptions such as NullPointerException, RuntimeException, Exception in try-catch block
769
src/timepass/MetaSearchEngine.java
70
Avoid using exceptions as flow control.
770
src/timepass/MetaSearchEngine.java
71
Avoid printStackTrace(); use a logger call instead.
771
src/timepass/MetaSearchEngine.java
81
Avoid printStackTrace(); use a logger call instead.
772
src/timepass/MetaSearchEngine.java
89
Local variable 'linkHref' could be declared final
773
src/timepass/MetaSearchEngine.java
89
Potential violation of Law of Demeter (method chain calls)
774
src/timepass/MetaSearchEngine.java
90
Local variable 'linkText' could be declared final
775
src/timepass/MetaSearchEngine.java
90
Potential violation of Law of Demeter (method chain calls)
776
src/timepass/MetaSearchEngine.java
91
System.out.println is used
777
src/timepass/MetaSearchEngine.java
101
Avoid printStackTrace(); use a logger call instead.


{% extends 'base.html' %} {% block title %}Airport Service{% endblock title %} {% block body %}
Drogo Airlines staff are trained to provide quick and efficient check-in. If your travel takes you through Dhaka for a connecting flight, you will be met by representatives to assist you with flight connections upon arrival. If passengers require any special assistance to their departure gates, we will be happy to escort you to the gate.
Please contact your departure airport or a local Drogo Airlines office during reconfirmation to check if check-in times materially differ from our suggested three hours.
Plan ahead for your flight, and check in advance the Terminal for your Biman Flight. View Airport Terminal Directory
It is important that you arrive at check-in for your flight On-time. Check-in closes one hour before departure. The boarding gate normally closes 20 minutes prior to departure. This could vary depending on your departure airport.
Double check that you have your passport, tickets and all other necessary documents with you before you leave home to embark on your journey.
Lounge access is available for Drogo Business Class Passengers and also Gold & Silver Card members. The Maslin Lounge, is located on 2nd floor of Hazrat Shahjalal International Airport. Biman Business Class passengers also have access to airport lounges around the world.
Handling Facilities for Unaccompanied Minor is available both at arrivals and departures with prior request during reservation and fulfillment of traveling conditions.
A dedicated desk for transit/transfer passengers is available round the clock for Drogo & Customer Airlines at Hazrat Shahjalal International Airport.


This visualization allows for exploration of Happiness per unit of sentiment value. Since Happiness is divided by the value, lower results may be a better indicator of how Your important values effect Happiness. Find out how your most important values relate.


Professional Summary:
- Expertise in semantically structured HTML and CSS
- Proficient with Javascript and jQuery
- Works with an appreciation for Responsive Design, Separation of Concerns, and Progressive Enhancement
- Ability to manage multiple projects and solve problems
- Skilled at learning new concepts quickly while working well under pressure
Education:
Resilient Coders Boot Camp
July 2016 - present
Boston, MA
Bunker Hill Community College
September 2015 - present
Boston, MA
Associate in Science-Web Development
Android Mobile App Certificate Program
Back to TopExperience:
Vanguard Parking Services Inc.
November 2013 - June 2016
Boston, MA
Lobby Attendant
- Direct visitors to appropriate locations
- Perform verfication checks on visitors entering the property
- Maintain constant communication between fellow colleagues
- Initiate phone calls to faculty
- Alert NUPD of suspicious behavior in the facility
Franklin Park Tennis Association
July 2015 - May 2016
Boston, MA
Camp Director/Group Tennis Instructor
- Assisted with payroll
- Maintained day to day logs of camp attendance and registration form
- Monitored camp payments to ensuere fees were paid before admission to camp
- Enforced safety procedures
- Provided tennis lessons to children every week
Arc-En-Ciel Montessori School and Day Care / The Bilingual Montessori School of Boston
March 2010 - July 2013
Jamaican Plain, MA
Teacher Assistant
- Assisted with classroom lessons
- Monitored children during afternoon activities
- Maintained classroom order
- Prepared afternoon work
- Fostered meaningful relationships between teacher, children, and parents
YMCA of Greater Boston
November 2009 - March 2010
Boston, MA
Group Leader
- Directed activites for the group
- Monitored scheduled community activites
- Assisted with academic activites
- Maintained YMCA cirriculum
- Provided fun games during transitions
City Year Boston
September 2007 - June 2008
Boston, MA
Corps Member
- Preformed community service
- Assited Teacher with lesson plan
- Lead literacy groups
- Directed after-school programs
- Monitored kids during lunch and recess


GHMC Commissioner focuses on night shelters
Provide all facilities in view of dropping temperatures, Lokesh Kumar tells officials
by Special CorrespondentGHMC Commissioner D.S. Lokesh Kumar has issued orders to officials asking them to inspect the night shelters and provide full-fledged facilities to the homeless and the poor, in view of the dropping temperatures.
Addressing a video conference with zonal and deputy commissioners and medical officers from GHMC headquarters, Mr. Lokesh Kumar asked them to shift those sleeping on footpaths and near junctions to the shelter homes.
As of now, 15 night shelters are being run in Hyderabad, where over 600 people have been accommodated. The Commissioner has asked the officials to convert various GHMC community halls to night shelters if need be.
Noting that the number of beggars near major junctions and traffic signals has increased of late, Mr. Lokesh Kumar asked the officials to take appropriate measures to prevent begging with help from the Police. He also reviewed the upcoming drive for removal of construction waste, and vector control operations, besides others.