September 12nd, 2015
CanCanCan is a gem for permissions used in Rails development. The original gem, CanCan was developed by Ryan Bates of Rails Casts. After he stopped supporting the project since Rails 3, the community picked up the project, maintaining much of the original features over the years.
To use permissions, we first have to define them, and this is done in the file ability.rb
. In here, CanCanCan provides the flexible can
and cannot
methods, which we can use to check the abilities of the current_user
against a resource. More specifically, we can define rules to use against a specific instance of a model, for example project
. This instance does not restrict to a model:
# ability.rb
can :manage, WelcomeController
can [:edit, :update], Project do |project|
user == project.owner
end
# welcome_controller.rb
authorize! :index, self
A controller like the WelcomeController
does not have a model instance which it manages. In this case, we check against the controller itself in a method, passing self
to the authorize
method (taking advantage of Ruby as an object oriented language). In the ProjectController
, we can pass in the @project
instance and get the appropriate response.
By using CanCanCan’s setup, we eliminate those scattered if-statements that usually hang around the beginning of a method like:
# some_controller.rb
def show
@model = Model.find(params[:id])
if @model.user == current_user
# do something
else
# throw something
end
end
Moreover, we have collected all the rules into a single method, which makes changing permissions much easier. The only possible downside might be that it makes creating new scaffolds a bit harder, as you’d have to worry about setting permissions much before you’d prefer to.
A worry that came up, especially with developers who have experience dealing large-scale applications, is that they prefer to define permissions in the database[^database]. In a simple and rapid product pushing environment, we argue that if we change permissions, we at least have to change something somewhere else in the codebase. This is saying that we simply cannot handle on-the-fly permission changing with the current state of code. Therefore, we’d have to redeploy anyway, so we can keep permission as part of the codebase. CanCanCan does in fact provide loading database permissions. See Database Permissions
CanCanCan provides methods that eliminates repeating lines in controllers, a feature that greatly accommodates Rails’ DRY philosophy. For example, this could further reduce the show
method:
# some_controller.rb
# before
def show
@model = Model.find(params[:id])
authorize! :read, @model
end
# after
load_and_authorize_resource
def show
# nothing is needed
end
This load_and_authorize_resource
method is in the scope of the entire class, so other methods do not have to explicitly find their methods at all. In methods like create
and update
, CanCanCan expects a method defined as model_params
(where model is the name of the specific model), and this enforces the usage of strong parameters as well (Rails 4+).
Variations to this method, load_resource
and authorize_resource
, are both provided. All three variations can take a symbol for the name of the model to load, which is defaulted to the name of the controller. The extended benefit of this feature is that it accounts for nested resources:
# routes.rb
resources :project do
resources :tasks
end
# tasks_controller.rb
load_and_authorize_resource :project
load_and_authorize_resource :task, through: :project
This gives us a @project
and @task
instance in every method, and also gives us incentive to use Rails’ resourceful routes.
Furthermore, CanCanCan has the assurance method check_authorization
that, when put in ApplicationController
, will raise an exception if any method of any controller does not have the authorize method. CanCanCan allows us to skip checks for specific controllers by adding skip_authorization_check
. We don’t encourage using this method because it lets business logic slip into specific controllers when we have already encapsulated it well. We use the trick of checking for controller instances (see before) to ensure we have an authorize for each method. We encourage developers to define abilities first and not wait until their scaffold is complete, as it will eliminate mistakes of forgetting permission checking. See also, Integration Testing.
CanCanCan allows us to check permissions in the views too; we take full advantage of this:
# ability.rb
can :follow, Profile do |profile|
(user.profile != profile) and (not UserFollow.find_by(follower_id: user.id, followee_id: profile.user.id))
end
can :unfollow, Profile do |profile|
(user.profile != profile) and UserFollow.find_by(follower_id: user.id, followee_id: profile.user.id)
end
<!-- _follow_button.html.erb -->
<%= button_to 'Follow', follow_profile_path(profile) if can? :follow, profile %>
<%= button_to 'Unfollow', unfollow_profile_path(profile) if can? :unfollow, profile %>
Here, if a user can both follow and unfollow a profile, they would definitely see both buttons. We control this inside ability.rb
, where it is impossible for both permissions to satisfy. There are cases where a user can neither follow nor unfollow a user (e.g. they are seeing their own profile). This logic is all handled inside ability, and the view is left only in charge of presentation.


ResourceEventResolver
instead.@Deprecated
public abstract class ResourceDeltaResolver
extends java.lang.Object
implements org.eclipse.core.resources.IResourceDeltaVisitor
| Modifier | Constructor and Description |
|---|---|
protected |
ResourceDeltaResolver()
Deprecated.
|
| Modifier and Type | Method and Description |
|---|---|
protected void |
postVisitOrProbe()
Deprecated.
|
protected void |
preVisitOrProbe()
Deprecated.
|
boolean |
probe(org.eclipse.core.resources.IResource resource)
Deprecated.
Resolves supplied resource.
|
protected abstract boolean |
resolveDelta(org.eclipse.core.resources.IResourceDelta delta,
org.eclipse.core.resources.IResource resource)
Deprecated.
|
protected abstract boolean |
resolveResource(org.eclipse.core.resources.IResource resource)
Deprecated.
|
boolean |
visit(org.eclipse.core.resources.IResourceDelta delta)
Deprecated.
Resolves supplied resource delta.
|
void |
visitOrProbe(org.eclipse.core.resources.IResourceDelta delta,
org.eclipse.core.resources.IResource resource)
Deprecated.
Resolves supplied resource delta or resource of a change event.
|
void |
visitOrProbe(org.eclipse.core.resources.IResourceDelta delta,
org.eclipse.core.resources.IResourceChangeEvent event)
Deprecated.
Resolves supplied resource delta or resource change event.
|
public final boolean visit(org.eclipse.core.resources.IResourceDelta delta) throws org.eclipse.core.runtime.CoreException
resolveDelta(delta, delta.getResource())
and returns its result.visit
in interface org.eclipse.core.resources.IResourceDeltaVisitor
true
if the resource delta's children should
be visited, false
if they should be skippedorg.eclipse.core.runtime.CoreException
- if the visit fails for some reasonpublic final boolean probe(@Nullable org.eclipse.core.resources.IResource resource) throws org.eclipse.core.runtime.CoreException
resolveResource(resource)
and returns its result.true
if the resource delta's children should
be visited, false
if they should be skippedorg.eclipse.core.runtime.CoreException
- if the probe fails for some reasonprotected abstract boolean resolveDelta(org.eclipse.core.resources.IResourceDelta delta, org.eclipse.core.resources.IResource resource) throws org.eclipse.core.runtime.CoreException
org.eclipse.core.runtime.CoreException
protected abstract boolean resolveResource(org.eclipse.core.resources.IResource resource) throws org.eclipse.core.runtime.CoreException
org.eclipse.core.runtime.CoreException
public final void visitOrProbe(@Nullable org.eclipse.core.resources.IResourceDelta delta, @Nullable org.eclipse.core.resources.IResource resource)
null
then this method
visits it, otherwise it probes the specified resource.
This method always invokes preVisitOrProbe()
before
resolving specified arguments but invokes postVisitOrProbe()
only after successful resolving (post hook is not invoked in case of
an exception).
RuntimeCoreException
- if the visit or probe fail for some reasonpublic final void visitOrProbe(@Nullable org.eclipse.core.resources.IResourceDelta delta, @Nullable org.eclipse.core.resources.IResourceChangeEvent event)
See visitOrProbe(IResourceDelta, IResource)
for more details.
RuntimeCoreException
- if the visit or probe fail for some reasonprotected void preVisitOrProbe()
protected void postVisitOrProbe()


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{% extends "base.html" %} {% block content %} Hey you should probably login or something... idk? maybe? If you dont have an account Signup {{wtf.quick_form(form)}} {% endblock %}


Lecture 13: Introduction to PyCogent: Building a tree of life¶
Assignment of groups for application presentations
Organization of study sessions: organizers will earn participation points
Discussion of homework assignment
Amazon Web Services: Will be accessible for projects in the second half of this semester
- Python modules
matplotlib: graphing functionality
PyCogent: Bioinformatics toolkit
- Steps in constructing a phylogeny based on molecular sequence data
Select a sequence of interest: why might you choose a particular sequence?
Identify homologs: sequencing or database searching (we’ll search for sequences in NCBI)
Align sequences: performing a multiple sequence alignment (we’ll use muscle)
Calculate phylogeny: phylogeny reconstruction methods (we’ll use FastTree)
Coding example¶
matplotlib¶
matplotlib is a graphing module that is not included in the Python Standard Library. To use matplotlib you’ll need to install it.
This module provides a good illustration of the functionality that is available to you via python which you don’t have to implement yourself. This code here allows you to visualize a set of randomly generated scatter plots - look through the plots that are generated and think about how many you would consider the x and the y values to appear correlated. I find it alarming how many of these randomly generated plots look correlated. Keep this in mind as you read papers and analyze data.
from pylab import scatter, figure, show
from random import randrange
def get_n_random_values(n,range_min=0,range_max=200):
result = []
for i in range(n):
result.append(randrange(range_min,range_max))
return result
for i in range(20):
figure(i)
scatter(get_n_random_values(10),
get_n_random_values(10))
show()
PyCogent¶
The Python Comparative GENomics Toolkit (PyCogent) is a python module that supports many bioinformatics applications, and is the basis for many other bioinformatics software packages. We’ll work through an example that illustrates some powerful features of PyCogent, and will spend more time on specific components later in the semester and in Bio/CS 399 next semester.
You can find my PyCogent tree of life demo here.


--- title: Lesson 5 - Server Implementation keywords: fastai sidebar: home_sidebar nb_path: "nbs/course2020/vision/05_Inference_Server.ipynb" ---
Let's now take what we had before and run inference based on a list of filenames. We'll make a quick script to get the ball rolling for how we want everything to do using nbdev
again
We'll want the libraries we've used
from fastai.vision.all import *
Including our new style_transfer.py
file
from wwf.style_transfer import *
Let's grab our original style image
learn = load_learner('myModel', cpu=False)
And now we can make and prepare our dataloader with a filename!
dset = Datasets('cat.jpg', tfms=[PILImage.create])
dl = dset.dataloaders(after_item=[ToTensor()], after_batch=[IntToFloatTensor(), Normalize.from_stats(*imagenet_stats)], bs=1)
t_im = dl.one_batch()[0]
And get our raw output.
with torch.no_grad():
res = learn.model(t_im)
Let's wrap this into a function
def get_learner(fn, cpu=False):
return load_learner(fn, cpu=cpu)
def make_datasets(learn, fns, bs=1):
cuda = next(learn.model.parameters()).is_cuda
dset = Datasets(fns, tfms=[PILImage.create])
if cuda:
after_batch = [IntToFloatTensor(), Normalize.from_stats(*imagenet_stats)]
dl = dset.dataloaders(after_item=[ToTensor()], after_batch=after_batch, bs=1)
else:
after_batch = [Normalize.from_stats(*imagenet_stats, cuda=False)]
dl = dset.dataloaders(after_item=[ToTensor()], after_batch=after_batch, bs=1, device='cpu')
return dl
from torchvision.utils import save_image
We can write a quick save_im
function to save all our outputed tensors to images
def save_im(imgs:list, path):
"Save a n*c*w*h `Tensor` into seperate images"
[save_image(im, f'{path}/{i}.png') for i, im in enumerate(imgs)]
Now let's put it all together
def inference(pkl_name, fnames:list, path:Path, cpu:bool=True):
"Grab inference on a model, filenames, and a path to save it to"
path = path/'results'
path.mkdir(parents=True, exist_ok=True)
learn = get_learner(pkl_name, cpu)
if len(fnames) > 1:
dls = []
for fname in fnames:
dls.append(make_datasets(learn, fnames, 1))
else:
dls = [make_datasets(learn, fnames, 1)]
res = []
for b in dls:
t_im = b.one_batch()[0]
with torch.no_grad():
out = learn.model(t_im)
res.append(out)
save_im(res, path)
And try it out!
fnames = ['cat.jpg'] * 5
inference('myModel', fnames, path=Path(''))
Lastly let's make a .py
file again to run it off of
And we're done!


Som Hein releases her first single 'Same Here'
by sl278Former 'Idol School' constant Som Hein has released her first single 'Same Here'.
The groovy and laid back tones of the vibes of the song give it a chill atmosphere.
Check it out above!
Former 'Idol School' constant Som Hein has released her first single 'Same Here'.
The groovy and laid back tones of the vibes of the song give it a chill atmosphere.
Check it out above!


Double majored in Social Computing Informatics and Psychology. Found my passion for technology, design, communication, and inclusivity.
Analyzed social media and user engagement data to establish a network of online ambassadors to promote philanthropy. Created content and managed social media accounts for the Leaders and Best accounts.
Designed use cases and conducted usability research on a Cisco HR tool called Sync Up. Created visual designs and wireframes for two internal Cisco tools, MyExpenses and Sync Up using Adobe Illustrator and Axure.
Developed a user reasearch plan and conducted usability tests for the GradeCraft tool. Developed visual and clickable prototypes of the dashboard for the website.
Researched and analyzed global data localization regulations based on client operations to establish a report on how to maintain and handle controlled information Helped manage a large team with multiple workstreams to close a $850M deal. Worked with the client on data compliance to ensure sensitive and controlled information is properly handled.
Part of the GBS Offering Management Acceleration team working on redefining IBM offerings and their go-to-market strategies. Worked on IBM's MetroPulse and Sourcing Services offerings.
Conducted client workshops on a strategic alignment engagement, analyzed pain points and identified opportunity areas within a full-scale digital transformation.


Let us derive the contravariant expression for the current density. Using
along with magnetic field expression (177) and the curl formula
(139), we obtain
which is the contravariant form of the current density vector. Next, for later
use, calculate the parallel current. By using Eqs. (177) and
(331), the parallel current density is written as
yj
2018-03-09


Generalized linear logistic regression model for factors affecting the probability of population survival for
C.
fasciculatum with coefficient estimates, standard errors, z scores, and
p-values.
The resulting model takes the form log
e(y/(1—y)) = β
0 + β
1X
1 + β
2X
2 + β
3X
3.


SYS/BIOS events are a means of communication between Tasks and other
threads such as Hwis, Swis, and other Tasks, or between Tasks and
other SYS/BIOS objects. Other SYS/BIOS objects include semaphores,
mailboxes,
message queues, etc. Only tasks can wait for events; whereas tasks,
Hwis, Swis, or SYS/BIOS objects can post them.
In order for a task to be notified of an event from a SYS/BIOS object an
event object must first be registered with that object. Separate APIs
are provided (in their respective modules) for each of the SYS/BIOS object
types that support this feature.
Events are synchronous in nature, meaning that a receiving task will
block or pend while waiting for the events to occur. When the desired
events are received, the pending task continues its execution, as it
would after a call to Semaphore_pend(), for example.
Tasks can also wait on events that are not linked to other SYS/BIOS objects.
These events are explicitly posted from other threads such as tasks,
Swis, or Hwis. A task does not register to receive these events; the
sending thread simply posts its event(s) to the event object the task
is pending on. This scenario is similar to having an ISR post a
semaphore.
A task can wait on events from multiple resources and/or threads; thus,
it can be waiting for a semaphore to be posted and for a message to
arrive in a message queue or an ISR thread to signal that an event has
occurred.
Unlike Semaphores, only a single task can pend on an Event object.
pend is used to wait for events. The andMask & orMask
determine which
event(s) must occur before returning from
pend. The timeout
parameter
allows the task to wait until a timeout, wait indefinitely, or not wait
at all. A return value of zero indicates that a timeout has occurred. A
non-zero return value is the set of events that were active at the time
the task was unblocked.
Events are binary. Events become available (posted) on each Event_post()
of the eventId and become non-available (consumed) on each qualifying
Event_pend() mask.
All active events present in the orMask are consumed (ie removed from
the event object) upon return from
pend. Only when all events
present in the andMask are active are they consumed on return from
pend.
post is used to signal events. If a task is waiting for the event
and all of the event conditions are met,
post unblocks the task.
If no task is waiting,
post simply registers the event with the
event object and returns.
The maximum number of eventIds supported is target specific and depends
on the number of bits in a UInt data type.
For 6x and ARM devices the maximum number of eventIds is therefore 32.
For 28x the maximum number of eventIds is 16.
| const Event_Id_00 |
|
Pre-defined Event Ids
#define Event_Id_00 (UInt)0x1
DETAILS
Event_Ids are provided to simplify the specification of
andMasks and orMasks arguments to
Event_pend().
Since each Event_Id is a bitmask composed of only a single bit,
a group of Event_Ids within an andMask or orMask can be indicated
by simply adding them together. For instance, to indicate that a task
is to be awakened only when both Event_Id_00 and Event_Id_01 have
been posted, the andMask for Event_pend() would be constructed
as below:
Event_pend(event, Event_Id_00+EventId_01, Event_Id_NONE,
BIOS_WAIT_FOREVER);
As shown above, Event_Id_NONE is to be used as an empty (NULL)
andMask or orMask.
NOTE
For targets where a UInt is 32 bits in length,
Event_Id_00 thru Event_Id_31 can be used.
For targets where a UInt is 16 bits in length,
Event_Id_00 thru Event_Id_15 can be used.
| const Event_Id_01 |
|
#define Event_Id_01 (UInt)0x2
SEE
| const Event_Id_02 |
|
#define Event_Id_02 (UInt)0x4
SEE
| const Event_Id_03 |
|
#define Event_Id_03 (UInt)0x8
SEE
| const Event_Id_04 |
|
#define Event_Id_04 (UInt)0x10
SEE
| const Event_Id_05 |
|
#define Event_Id_05 (UInt)0x20
SEE
| const Event_Id_06 |
|
#define Event_Id_06 (UInt)0x40
SEE
| const Event_Id_07 |
|
#define Event_Id_07 (UInt)0x80
SEE
| const Event_Id_08 |
|
#define Event_Id_08 (UInt)0x100
SEE
| const Event_Id_09 |
|
#define Event_Id_09 (UInt)0x200
SEE
| const Event_Id_10 |
|
#define Event_Id_10 (UInt)0x400
SEE
| const Event_Id_11 |
|
#define Event_Id_11 (UInt)0x800
SEE
| const Event_Id_12 |
|
#define Event_Id_12 (UInt)0x1000
SEE
| const Event_Id_13 |
|
#define Event_Id_13 (UInt)0x2000
SEE
| const Event_Id_14 |
|
#define Event_Id_14 (UInt)0x4000
SEE
| const Event_Id_15 |
|
#define Event_Id_15 (UInt)0x8000
SEE
| const Event_Id_16 |
|
#define Event_Id_16 (UInt)0x10000
SEE
| const Event_Id_17 |
|
#define Event_Id_17 (UInt)0x20000
SEE
| const Event_Id_18 |
|
#define Event_Id_18 (UInt)0x40000
SEE
| const Event_Id_19 |
|
#define Event_Id_19 (UInt)0x80000
SEE
| const Event_Id_20 |
|
#define Event_Id_20 (UInt)0x100000
SEE
| const Event_Id_21 |
|
#define Event_Id_21 (UInt)0x200000
SEE
| const Event_Id_22 |
|
#define Event_Id_22 (UInt)0x400000
SEE
| const Event_Id_23 |
|
#define Event_Id_23 (UInt)0x800000
SEE
| const Event_Id_24 |
|
#define Event_Id_24 (UInt)0x1000000
SEE
| const Event_Id_25 |
|
#define Event_Id_25 (UInt)0x2000000
SEE
| const Event_Id_26 |
|
#define Event_Id_26 (UInt)0x4000000
SEE
| const Event_Id_27 |
|
#define Event_Id_27 (UInt)0x8000000
SEE
| const Event_Id_28 |
|
#define Event_Id_28 (UInt)0x10000000
SEE
| const Event_Id_29 |
|
#define Event_Id_29 (UInt)0x20000000
SEE
| const Event_Id_30 |
|
#define Event_Id_30 (UInt)0x40000000
SEE
| const Event_Id_31 |
|
#define Event_Id_31 (UInt)0x80000000
SEE
| const Event_Id_NONE |
|
#define Event_Id_NONE (UInt)0
SEE
| config Event_A_badContext // module-wide |
|
Asserted when pend is called with non-zero timeout from other
than a Task context
| config Event_A_eventInUse // module-wide |
|
Asserted when pend is called by multiple tasks on the same
Event object
| config Event_A_nullEventId // module-wide |
|
Asserted when post is called with eventId == 0
| config Event_A_nullEventMasks // module-wide |
|
Asserted when pend is called with andMask and orMask == 0
extern const Assert_Id Event_A_nullEventMasks;
| config Event_A_pendTaskDisabled // module-wide |
|
Asserted in Event_pend()
extern const Assert_Id Event_A_pendTaskDisabled;
DETAILS
Assert raised if Event_pend() is called with the Task or
Swi scheduler disabled.
| config Event_LM_pend // module-wide |
|
Logged on calls to Event_pend()
| config Event_LM_post // module-wide |
|
Logged on calls to Event_post()
| Module-Wide Built-Ins |
|
// Get this module's unique id
Bool Event_Module_startupDone();
// Test if this module has completed startup
// The heap from which this module allocates memory
Bool Event_Module_hasMask();
// Test whether this module has a diagnostics mask
Bits16 Event_Module_getMask();
// Returns the diagnostics mask for this module
Void Event_Module_setMask(Bits16 mask);
// Set the diagnostics mask for this module
| Instance Object Types |
|
typedef struct Event_Object Event_Object;
// Opaque internal representation of an instance object
// Client reference to an instance object
typedef struct Event_Struct Event_Struct;
// Opaque client structure large enough to hold an instance object
// Convert this instance structure pointer into an instance handle
// Convert this instance handle into an instance structure pointer
| Instance Config Parameters |
|
typedef struct Event_Params {
// Instance config-params structure
// Common per-instance configs
} Event_Params;
// Initialize this config-params structure with supplier-specified defaults before instance creation
| Runtime Instance Creation |
|
// Allocate and initialize a new instance object and return its handle
// Initialize a new instance object inside the provided structure
ARGUMENTS
params
per-instance config params, or NULL to select default values (target-domain only)
eb
active error-handling block, or NULL to select default policy (target-domain only)
DETAILS
This function creates a new Event object.
| Instance Deletion |
|
// Finalize and free this previously allocated instance object, setting the referenced handle to NULL
// Finalize the instance object inside the provided structure
| Event_getPostedEvents() // instance |
|
Returns the set of events that have not been consumed by a task
(ie those events that have not fully satisfied any pend() conditions).
No events are consumed!
ARGUMENTS
handle
handle of a previously-created Event instance object
RETURNS
All un-consumed events posted to the event.
| Event_pend() // instance |
|
Wait for events defined in 'and' OR 'or' masks
UInt Event_pend(
Event_Handle handle,
UInt andMask,
UInt orMask,
UInt32 timeout);
ARGUMENTS
handle
handle of a previously-created Event instance object
andMask
return from pend() when ALL of these
events have occurred
orMask
return from pend() when ANY of these
events have occurred
timeout
return from pend() after this many system
time units
RETURNS
All consumed events or zero if timeout.
DETAILS
pend() is used to wait for events. The andMask and orMask determine
which
event(s) must occur before returning from pend(). The timeout parameter
allows the task to wait until a timeout, wait indefinitely, or not wait
at all. A return value of zero indicates that a timeout has occurred. A
non-zero return value is the set of events that were active at the time
the task was unblocked.
The andMask defines a set of events that must
ALL occur to allow pend() to return.
The orMask defines a set of events
that will cause pend() to return if ANY of them occur.
All active events
present in the orMask are consumed (i.e. removed from the event object)
upon return from pend(). Only when all events present in the andMask
are active are they consumed on return from pend().
The pend conditions are satisfied when either ALL of the events
in the andMask occur or ANY of the events in the orMask occur.
A timeout value of
BIOS_WAIT_FOREVER causes
the task to wait indefinitely for matching events to be posted.
A timeout value of
BIOS_NO_WAIT
causes Event_pend to return immediately.
| Event_post() // instance |
|
Post event(s) to an event object
ARGUMENTS
handle
handle of a previously-created Event instance object
eventMask
mask of eventIds to post (must be non-zero)
DETAILS
Event_post() is used to signal events. If a task is waiting for the
event and the event conditions are met, post() unblocks the
task. If no tasks are waiting, post() simply registers the event with
the event object and returns.
| Instance Built-Ins |
|
Int Event_Object_count();
// The number of statically-created instance objects
// The handle of the i-th statically-created instance object (array == NULL)
// The handle of the first dynamically-created instance object, or NULL
// The handle of the next dynamically-created instance object, or NULL
// The heap used to allocate dynamically-created instance objects
// The label associated with this instance object
// The name of this instance object
| const Event.Id_00 |
|
Pre-defined Event Ids
DETAILS
Event_Ids are provided to simplify the specification of
andMasks and orMasks arguments to
Event_pend().
Since each Event_Id is a bitmask composed of only a single bit,
a group of Event_Ids within an andMask or orMask can be indicated
by simply adding them together. For instance, to indicate that a task
is to be awakened only when both Event_Id_00 and Event_Id_01 have
been posted, the andMask for Event_pend() would be constructed
as below:
Event_pend(event, Event_Id_00+EventId_01, Event_Id_NONE,
BIOS_WAIT_FOREVER);
As shown above, Event_Id_NONE is to be used as an empty (NULL)
andMask or orMask.
NOTE
For targets where a UInt is 32 bits in length,
Event_Id_00 thru Event_Id_31 can be used.
For targets where a UInt is 16 bits in length,
Event_Id_00 thru Event_Id_15 can be used.
C SYNOPSIS
| const Event.Id_01 |
|
SEE
C SYNOPSIS
| const Event.Id_02 |
|
SEE
C SYNOPSIS
| const Event.Id_03 |
|
SEE
C SYNOPSIS
| const Event.Id_04 |
|
const Event.Id_04 = 0x10;
SEE
C SYNOPSIS
| const Event.Id_05 |
|
const Event.Id_05 = 0x20;
SEE
C SYNOPSIS
| const Event.Id_06 |
|
const Event.Id_06 = 0x40;
SEE
C SYNOPSIS
| const Event.Id_07 |
|
const Event.Id_07 = 0x80;
SEE
C SYNOPSIS
| const Event.Id_08 |
|
const Event.Id_08 = 0x100;
SEE
C SYNOPSIS
| const Event.Id_09 |
|
const Event.Id_09 = 0x200;
SEE
C SYNOPSIS
| const Event.Id_10 |
|
const Event.Id_10 = 0x400;
SEE
C SYNOPSIS
| const Event.Id_11 |
|
const Event.Id_11 = 0x800;
SEE
C SYNOPSIS
| const Event.Id_12 |
|
const Event.Id_12 = 0x1000;
SEE
C SYNOPSIS
| const Event.Id_13 |
|
const Event.Id_13 = 0x2000;
SEE
C SYNOPSIS
| const Event.Id_14 |
|
const Event.Id_14 = 0x4000;
SEE
C SYNOPSIS
| const Event.Id_15 |
|
const Event.Id_15 = 0x8000;
SEE
C SYNOPSIS
| const Event.Id_16 |
|
const Event.Id_16 = 0x10000;
SEE
C SYNOPSIS
| const Event.Id_17 |
|
const Event.Id_17 = 0x20000;
SEE
C SYNOPSIS
| const Event.Id_18 |
|
const Event.Id_18 = 0x40000;
SEE
C SYNOPSIS
| const Event.Id_19 |
|
const Event.Id_19 = 0x80000;
SEE
C SYNOPSIS
| const Event.Id_20 |
|
const Event.Id_20 = 0x100000;
SEE
C SYNOPSIS
| const Event.Id_21 |
|
const Event.Id_21 = 0x200000;
SEE
C SYNOPSIS
| const Event.Id_22 |
|
const Event.Id_22 = 0x400000;
SEE
C SYNOPSIS
| const Event.Id_23 |
|
const Event.Id_23 = 0x800000;
SEE
C SYNOPSIS
| const Event.Id_24 |
|
const Event.Id_24 = 0x1000000;
SEE
C SYNOPSIS
| const Event.Id_25 |
|
const Event.Id_25 = 0x2000000;
SEE
C SYNOPSIS
| const Event.Id_26 |
|
const Event.Id_26 = 0x4000000;
SEE
C SYNOPSIS
| const Event.Id_27 |
|
const Event.Id_27 = 0x8000000;
SEE
C SYNOPSIS
| const Event.Id_28 |
|
const Event.Id_28 = 0x10000000;
SEE
C SYNOPSIS
| const Event.Id_29 |
|
const Event.Id_29 = 0x20000000;
SEE
C SYNOPSIS
| const Event.Id_30 |
|
const Event.Id_30 = 0x40000000;
SEE
C SYNOPSIS
| const Event.Id_31 |
|
const Event.Id_31 = 0x80000000;
SEE
C SYNOPSIS
| const Event.Id_NONE |
|
SEE
C SYNOPSIS
| config Event.A_badContext // module-wide |
|
Asserted when pend is called with non-zero timeout from other
than a Task context
msg: "A_badContext: bad calling context. Must be called from a Task."
};
C SYNOPSIS
| config Event.A_eventInUse // module-wide |
|
Asserted when pend is called by multiple tasks on the same
Event object
msg: "A_eventInUse: Event object already in use."
};
C SYNOPSIS
| config Event.A_nullEventId // module-wide |
|
Asserted when post is called with eventId == 0
msg: "A_nullEventId: posted eventId is null."
};
C SYNOPSIS
| config Event.A_nullEventMasks // module-wide |
|
Asserted when pend is called with andMask and orMask == 0
msg: "A_nullEventMasks: orMask and andMask are null."
};
C SYNOPSIS
| config Event.A_pendTaskDisabled // module-wide |
|
Asserted in Event_pend()
msg: "A_pendTaskDisabled: Cannot call Event_pend() while the Task or Swi scheduler is disabled."
};
DETAILS
Assert raised if Event_pend() is called with the Task or
Swi scheduler disabled.
C SYNOPSIS
| config Event.LM_pend // module-wide |
|
Logged on calls to Event_pend()
msg: "LM_pend: event: 0x%x, currEvents: 0x%x, andMask: 0x%x, orMask: 0x%x, timeout: %d"
};
C SYNOPSIS
| config Event.LM_post // module-wide |
|
Logged on calls to Event_post()
msg: "LM_post: event: 0x%x, currEvents: 0x%x, eventId: 0x%x"
};
C SYNOPSIS
| metaonly config Event.common$ // module-wide |
|
Common module configuration parameters
DETAILS
All modules have this configuration parameter. Its name contains the '$'
character to ensure it does not conflict with configuration parameters
declared by the module. This allows new configuration parameters to be
added in the future without any chance of breaking existing modules.
| Instance Config Parameters |
|
var params = new Event.Params;
// Instance config-params object
| Static Instance Creation |
|
var params =
new Event.
Params;
// Allocate instance config-params
params.config = ...
// Assign individual configs
var inst = Event.create(params);
// Create an instance-object
ARGUMENTS
params
per-instance config params, or NULL to select default values (target-domain only)
eb
active error-handling block, or NULL to select default policy (target-domain only)
DETAILS
This function creates a new Event object.


Rohingya held with Aadhaar, PAN cards
by Staff ReporterA 24-year-old Rohingya Muslim was arrested on Friday for obtaining Aadhaar card, driving licence, voter and PAN cards, by submitting fake documents.
Aziz-Ur-Rahman (24) works at a slaughterhouse in Kamatipura and lives in Fatheema Nagar of Falaknuma. He hails from Buthidaung in Myanmar. He was apprehended by the Commissioner’s Task Force (South zone) team.
Rahman was claiming the welfare schemes of the State government, said Additional DCP (Task Force) Chakravarthy Gummi. He migrated to Hyderabad in 2008 and got married to one Sabekun Nahar Begum, a Myanmar refugee, in 2016. The couple has a two-year-old daughter, he said and added that they possessed the UN High Commissioner for Refugees card.
“With the help of those documents, his wife claimed the KCR kit,” he said.


The World's Fastest, Most Viral-Proof Webpages
I was tired of going to events (usually outdoors), trying to go to the event website on my phone, and the website would never load. This happens for three reasons:
- Because everyone trying to access the event website is at the event, everyone is working off of the same cell phone data networks and overloading the networks, making transfer speed super-slow.
- For people at the event just looking for information, the websites are overly complicated. Fancy images and graphics lead to huge amounts of data that have to be transferred for the website to load. Since everyone is already overloading the data network, it takes forever to load a web page and sometimes pages may not load at all.
- Sometimes, the website can't handle all the traffic at once and the website itself crashes.
So I thought I would conduct an experiment to see if I could solve these problems. I wanted to build informational event webpages that:
- Have only the required information on them. Anything that isn't necessary is thrown out.
- Would be built in such a way as to maximize page load speeds.
- Are viral-proof. Regardless of how many people try to access the page, the website server has to be able to serve it quickly without possibility of crashing.
This website, vntlnp.com ("event lineup", vowels removed), is that experiment. You are reading one of the fastest, most viral-proof webpages in the world. In an age where flashy is in, most businesses forget one very important thing: it doesn't matter how pretty it is if the website won't load.
These are examples of the pages I have built for events:
{% for page in site.pages %}
{% if page.list %}
- {{ page.title }}
{% endif %}
{% endfor %}
If you need this kind of thing for your event, contact me.


This small, rocky island is just west of Brac.
Position 43°23.7'N, 16°18.4'E (Rogac).
Rogac is the main port on the island. It lies on the NE coast.
Berth stern-to on the quay. It is possible to anchor but the holding is reported to be unreliable.
There are several sheltered anchorages to be found around this island. One of the best sheltered is at Uvala Sesula at the west end of the island.
There are visitors' berths on the quay at the small harbour of Maslinica, also aon the west end. They have water and electricity laid on and there is a supermarket in the village there.
Last updated February 2010.


TRACE\-CMD\-STOP
Section: [FIXME: manual] (1)Updated: 06/22/2012
Index Return to Main Contents
NAME
trace-cmd-stop - stop the Ftrace Linux kernel tracer from writing to the ring buffer.SYNOPSIS
DESCRIPTION
The trace-cmd(1) stop is a complement to trace-cmd-start(1). This will disable Ftrace from writing to the ring buffer. This does not stop the overhead that the tracing may incur. Only the updating of the ring buffer is disabled, the Ftrace tracing may still be inducing overhead.
After stopping the trace, the trace-cmd-extract(1) may strip out the data from the ring buffer and create a trace.dat file. The Ftrace pseudo file system may also be examined.
To disable the tracing completely to remove the overhead it causes, use trace-cmd-reset(1). But after a reset is performed, the data that has been recorded is lost.
SEE ALSO
trace-cmd(1), trace-cmd-record(1), trace-cmd-report(1), trace-cmd-start(1), trace-cmd-extract(1), trace-cmd-reset(1), trace-cmd-split(1), trace-cmd-list(1), trace-cmd-listen(1)
AUTHOR
Written by Steven Rostedt<EMAIL_ADDRESS>RESOURCES
git://git.kernel.org/pub/scm/linux/kernel/git/rostedt/trace-cmd.git
COPYING
Copyright (C) 2010 Red Hat, Inc. Free use of this software is granted under the terms of the GNU Public License (GPL).
NOTES
- 1.
-
<EMAIL_ADDRESS>-<EMAIL_ADDRESS>Index
This document was created by man2html, using the manual pages.
Time: 05:29:11 GMT, December 24, 2015


From excitement, to despair and finally acceptance... How should you deal with react.js?
Created by Simone van Buuren
It isn't some fancy framework - it is actually just a simple library with some useful patterns you can follow. What it is NOT is;
React.js is made up out of components - and components are quite literally things you'd like to render. React then updates and render or re-render components when data changes.
You can split up your component types (I usually do) into some of the following:
Disclaimer; this might be a long section...
You're going to be using some JSX syntax - but don't look at JSX from the JSX website, rather have a look over at Facebook. It isn't really important functionally - but it does add some syntactic sugar.
Do not over-engineer and try to make a component out of everything, but if something does have its own behaviour and it makes sense to abstract it - make the component small and compact. This makes it easy to maintain, test and even extend on.
This syntax for declaring a Component is most commonly used when you're making use of the various react.js life-cycles.
class YourComponent extends React.Component {
render() return { some div element here };
}
If you're not making use of any life-cycles, you can declare it as a function for a simpler syntax. This usually also indicates that your component will be stateless (no state - no need for life-cycles).
const YourComponent = props => {
return({ some div element here });
};
Pure Components are similar to regular Components - with the exception that it implements the shouldComponentUpdate() lifecycle method with a shallow prop and state comparison. Thus if you're creating a Component which does not make use of state - it is more efficient to declare it as a Pure Component. You do have the option to declare it as a function, per the previous slide, but according to the React.js documentation, it is more efficient to declare it as a Pure Component.
It should be obvious from the previous examples - but it might be a good idea to switch over to use ES6 syntax.
React.js, JSX, ES6 and Redux.js isn't the only two libraries and technologies you'll need to make all of this work... You'll also have to consider:
... consider that you'll need to understand JavaScript VERY well, understand the JS ecosystem and really have at least an intermediate grasp of Object Oriented and Functional Programming to use it with ease. But if you do not - don't fear! There's ton of start kits and sources out there!


Home
About
Work
Blog
The Differences Between Absolute, Fixed and Relative Positioning
My Identity, Values and Strengths Exploration
My Learning Plan
HTML, CSS, DOM, Loops, Arrays, Objects and Functions Overview
Emotional Intelligence
Neuroplasticity and Growth Mindset
Problem Solving
Reflection - Foundations Core Skills


--- title: Team description: "The team" layout: default --- {% for who in site.team %}
{{ who.link }}
{{ who.bio }}


CLEAN ROOM
Created: August 31, 2018
Complete by Friday.
BUY GROCERIES
Created: August 28, 2018
Go to Kroger for specials.
Complete Project
Created: August 29, 2018
Contact co-workers to finalize.


-
FoodPin
- FoodPin is a native mobile application which allow user to search restaurants by restaurants name, type and location. Users could store their favorite restaurants and make comments. It is implemented by swift.
- swift Github
{% if site.duoshuo_username %}
-


--- layout: post title: A little bit of history repeating... date: 2009-07-23 11:39:49.000000000 +02:00 categories: [] tags: [] status: publish type: post published: true meta: _edit_last: '5236424' author: login: stricksucht email<EMAIL_ADDRESS>display_name: stricksucht first_name: '' last_name: '' ---
I had to rip it apart... again :( The Gossamer Garden Stole. At some point I always happen to miraculously loose a stitch. It just vanishes and I'm left with discovering "Oh, the pattern says 'Knit 6 stitches' but if I do, the YO is in the wrong place". I've cursed a lot the last few days ;) And then, yesterday, when I finally realized that I won't be able to fix it by cheating, and went to unraveling the stole, I gave the yarn such a firm tug that I accidentally ripped it :/
Maybe I should turn to work on my Mum's cardigan while I'm at my parents', because I always leave it here when I'm returning to Study City ;)


You can draw geometry overlays (which can be a polygon or a rectangle or a circle):
var infoWindow = map.addInfoWindow({ lat: -12.030397656836609, lng: -77.02373871559225, content: "
Info Window

With HTML content, plus...
<button>Abstracted Event handlers</button>", click: function(e) { alert('Consider your event handled.'); }, closeclick: function(e) { alert('Hey you closed my Info Window!'); } });


TO THE ENDS OF THE EARTH (director: Robert Stevenson; screenwriter: Jay Richard Kennedy; cinematographer: Burnett Guffey; editor: William Lyon; cast: Dick Powell (Commissioner Michael Barrows), Signe Hasso (Ann Grant), Ludwig Donath (Nicholas Sokim), Vladimir Sokoloff (Commissioner Lum Chi Chow), Edgar Barrier (Grieg), Harry J. Anslinger (Himself), Vernon Steele (Commissioner Hadley), Lou Krugman (Commissioner Amar Hassam), Eddie Lee (Chian Soo), Maylia (Shu Pan Wu), Fritz Leiber (Vranstadter); Runtime: 109; Columbia; 1948)
Reviewed by Dennis Schwartz
A top-notch adventure yarn that criss-crosses the globe in the mid-1930s. The film is told in a semi-documentary style entailing a Treasury Department narcotic head of its San Francisco bureau, Michael Barrows (Dick Powell), stumbling across a Japanese tramp freighter which is acting as a slave cargo tub. He observes them overthrowing the illegal passengers when they thought that the Coast Guard boat would stop them.
In a cameo, the real Treasury director Harry J. Anslinger has a non-speaking role as Barrows's boss. Barrows is presented as a dry-witted, contented married man, who is first seen caring for his rose garden.
This international crime on the freighter leads Barrows to Shanghai, where he discovers he's after a sinister narcotics ring. They are a highly organized worldwide opium smuggling gang, with poppy fields in Egypt. Barrows learns this from the drug czar of Shanghai, Commissioner Lum Chi Chow (Sokoloff), and also learns that their intentions are also political. They wish to transport the opium into the West because the drug induces a weakness in its users and would make it easier for Japan to dominate its enemies.
When he agrees to work with Lum, he poses as a rug dealer and is steered to a shady former American drug smuggler Sokim (Donath) who pretends to be helping him catch the drug smugglers.
He also keeps running into the blonde American widow of an engineer, Ann Grant (Signe Hasso), and the sweet 20-year-old, orphaned, ward she's in charge of, Shu Pan Wu (Maylia).
When Barrows goes to Egypt, he finds the secret poppy fields and learns that Ann's husband, an engineer, built the irrigation system for the smugglers.
The finale tales place on a boat that has the smuggled opium aboard, as the suspicious passenger Vranstadter (Leiber), and Ann Grant and Shu Pan are aboard. The action intensifies when a grease fire is set in the galley and the dope stored in the kitchen is tossed overboard with the boat just off the Eastern Coast of America, as Barrows tries to figure out who is the head of the ring.
A solid film that's high on entertainment value, even though it's a conventional work.
REVIEWED ON 9/28/2001 GRADE: B
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
========== X-RAMR-ID: 29667 X-Language: en X-RT-SourceID: 873 X-RT-AuthorID: 1315 X-RT-RatingText: B
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


CREATE TABLE XXX.XXX as SELECT /*+ MAPJOIN(XXX,XXX) */ trim(x.XXX) AS hc.XXX, hc.XXX, SUM(x.XXX) AS XXX FROM XXX.XXX x INNER JOIN XXX.XXX XXX ON x.XXX = XXX.XXX AND XXX.XXX = 1 INNER JOIN XXX.XXX dp ON XXX.XXX = XXX.XXX AND XXX.XXX = 1 INNER JOIN XXX.XXX hc ON XXX.XXX = XXX.XXX AND XXX.XXX=1 LEFT OUTER JOIN XXX.XXX hsc ON hsc.XXX = hc.XXX AND hsc.XXX=1 WHERE x.ds = 'XXX' AND length(x.XXX) > 0 AND x.XXX = 51 GROUP BY trim(x.XXX), hc.XXX, hc.XXX


Wikipedia Viewer
Free Code Camp Exercise
Click the magnifying glass to search, or click Surprise me for a random article!
Surprise me!


Data Management and Digital Platforms for Music Research
We acknowledge that we are gathered, both physically and virtually, on the lands of the Wurundjeri people of the Kulin Nation, who have been custodians of these unceded lands for many thousands of years. The University of Melbourne is situated on the lands of the Wurundjeri and Boon Wurrung, the Dja Dja Wurrung People, the Yorta Yorta Nation, and the Wadawurrung People. We acknowledge and pay our respects to their Elders past and present.
Welcome and overview
Welcome to this introductory session on Data Management and Digital Platforms for Music Research. This session was prepared for the Faculty of Fine Arts and Music Graduate Research Seminar, September 2, 2021, 11am - 1pm. In this session you will be introduced to digital platforms for both managing and presenting data collected for music research. This workshop will introduce you to the different kinds of digital applications available, and the technical support and training options that they can access through the University of Melbourne. We will look at some examples of music research projects which apply some of the approaches we are discussing.
This workshop is part of the "Editions de l’Oiseau-Lyre International Network" project led by Professor Kerry Murphy, Dr Rachel Orzech and Dr Jen Hill. The project is assisted by Dr Kristal Spreadborough, Research Data Specialist at the Melbourne Data Analytics Platform, and Peter Farmer, Research Assistant. The workshop today is presented by Dr Kristal Spreadborough (kristal.spreadborough@unimelb.edu.au).
In this workshop, we'll work through the following stages and apply them to data taken from the Editions de l'Oiseau-Lyre Archive.
DataACTIVITY
Do you consider yourself someone who works with data?
How do you compare with others here today? Check out the results of the poll below:
Extra information: this is an interesting blog on "Everything is data, except when it isn't" by Catherine Nicole Coleman.
Metadata
Metadata refers to the information about the data. Note: You may also see “meta(data)” - a catch-all term that encompasses data points, data, datasets, and metadata. Some examples of metadata from Editions de l'Oiseau-Lyre Archive. Music for performance and publication include:
- Physical description
- Notes
- Contents
- Other author
- Subject
- Variant Title
ACTIVITY
Thinking about the data/materials you work with, what kinds of metadata are most relevant?
How do you compare with others here today? Check out the results below:
Further reading - Australian National Data Service (ANDS)
Further reading - Wilkinson, M. D., M. Dumontier, I. J. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, et al. 2016. “The FAIR Guiding Principles for scientific data management and stewardship.” Scientific Data 3 (1): 160018. http://dx.doi.org/10.1038/sdata.2016.18.Different kinds of data and related metadata
There are many different kinds of data! Below are some examples of different kinds of data we might find our example from Editions de l'Oiseau-Lyre Archive. Music for performance and publication.
- Qualitative (text) data - like letters, clippings, interviews, and diaries. In our specific example, the descriptions found in the "Notes" metadata field of the record. (We look at ways of visualising based data in more detail below.)
- Quantitative (numbers) data - like counts of scores, reaction times, number of publications per composer over time. In our specific example, the number of manuscripts per item as found in the "Physical description" metadata field. (We look at ways of visualising numbers data in more detail below.)
- Locations - like city, country, and coordinates. In our specific example, it could be the birth place of the composer found in the "Author" metadata field. (We look at ways of visulising location based data in more detail below.)
- Time series - like publications over time. In our specific example, it could be the year in which the piece was published found in the "Published" metadata field. (We do not look at this kind of data in this workshop, but see the next steps section for suggestions if you're interested!)
- The music itself! - like scores, scores represented as xml, and recordings. In our specific example, it could be the actual item described in the "Physical description" metadata field (We do not look at this kind of data in this workshop, but see the next steps section for suggestions if you're interested!)
ACTIVITY
Do you work with any of the data discussed? If so, what kinds?
How do you compare with others here today? Check out the results below:
ACTIVITY
Breakout rooms: In your breakout rooms, take this time to talk about whether you work with any of the kinds of data discussed above. Do you consider this data? Why, why not? Please contribute your thoughts to this Padlet.
Nominate one member of your breakout room to report back to the whole group.
2.3 Cleaning up your data
Above we've discussed what data and metadata are. We've looked at these concepts using the Editions de l'Oiseau-Lyre Archive. Music for performance and publication. Now we're going to "get our hands dirty" and play with some data or our own! You can use your own data, or you can follow along with me using this example dataset.
Using the zoom thumbs up, who is using their own data? Would you like to tell us about it?
2.3.1 Sorting out the metadata
There are lots of things to keep in mind when you're working with metadata, we're just going to touch on a few now. You may hear of Metadata Standards when talking about metadata. These are a pre defined set of metadata fields and ways of expressing data and metadata so that it is consistent in your own datasets and across different peoples datasets. Example: Dublin Core. Pros include that it is easy to quickly understand lots of different datasets, everything is displayed in a consistent way. Cons are that you have to get everyone working in a field to agree to do things the same way!
It is great if you can use a standard in your own data, but the most important thing is to be consistent. That is, use the same metadata fields in your own data, structure your data and metadata in a consistent way, and describe and document everythign you do.
The "richer" your metadata, the more you can do with your dataset. For example, if you have nice, clear, detailed metadata fields, you can do lots of interesting visualisations and perform really good searches. We'll look more at this in section 3 below.
ACTIVITYLooking at the example dataset or your own data, what metadata fields are important? Here are some suggestions for additional fields for our example dataset:
- Document Type from "Subject"
- Short description from "Notes"
Feel free to put your suggestions in Chat.
Let's now add these to the dataset:
- Step 1: insert new columns
- Step 2: add a descriptive metadata title
- Step 3: add the field to your data dictionary (Note: we won't look at data dictionaries in this workshop, but you can find more information here. If this is of interst, we can do a further workshop on this at a later date.)
Questions: Who has worked in Excel before? What have you used it for?
2.3.2 Cleaning up the data
"Data Cleaning" can mean many things. Today, we're going to think of "data cleaning" from the perspective of having to separate out data into different metadata fields - the fields we just added above. But, data cleaning can also refer to standardising data, to formatting data in a way that is suitable for analysis, and so on.
Note: There are interesting discussions around the ethics of data cleaning - pragmatically it is needed so that we can make sense of the data, but it also means removing and "smoothing over" certain elements of a dataset. If this is of interest, we can do a further workshop on this at a later date.
ACTIVITYThinking back on the metadata fields we added above, we're now going to use Excel to extract data into these columns.
Note: There are many tools you can use to do this, some of which are programming languages (e.g. Python, R). We're using excel, but if this is of interst, we can do a further workshop on this at a later date.
- Get Document Type out of Subject field. Using excel explore: Text to Columns, and the importance of unique delimiters.
- Get Short Description out of Notes field. Using excel explore: Formulas, specifically looking at =LEFT(XX, SEARCH("-",XX,1)-1).
2.3.3 Establishing your data management plan
Who as heard of Data Managment Plans before?
A data management plan is a document in which you describe your data, and how you plan to store and preserve it. The University of Melbourne has a course on data management called Managing Data @Melbourne. This is a good resource to get you started. It is written for a general audience, so if you're interested in a more tailored plan for your work, or if this is of interest, we can do a further workshop on this at a later date.
ACTIVITYLet's discuss a few key aspects from the data management plan which are useful to start thinking about. As we go through these, we'll reflect back on the example dataset or on your own data.
- File format: always store a copy of your data in open file formats (example, saving an excel spreadsheet as a csv). You will see our example is using csv file.
- Storage: have multiple copies of your data that you sync regularly (example, using your UoM onedrive accounts). You will see that you accessed our example from my onedrive account.
- readme.txt documents: what are they and what's the point? This is where you provide important information about your data. Lets look at one together now. You can make your own, or you can follow along with me using this example. fiel formats
- Wordcloud, including stop words
- TermsBerry, including Top terms and Distinct terms
- Contexts, including sentence and paragraph level
- Sort and filter, really good for counting items in groups
- Pivot tables, really good for looking at how items group together
- Graphs, really good for making visualisations directly in Excel
- Latitude, longitude, and zoom (in our example, you can set the map to zoom in on a town or country, or show the world)
- Adding markers (in our example, markers for birth places of composers)
- Backgrounds and themes (in our example, you can show streets and cities, or you could use your own background showing historical maps for the time period you're working in)
- Once you add an item to Figshare, anyone on the internet can find it. So, if you have ethical considerations around your data, or if you have an Ethics approval that governs what you can/can't do with your data, then check these out before publishing your data.
- The "website" part of Omeka: unlike Fighsare, where it's a collection of items, Omeka looks more like a website.
- Items
- Collections
- Persistent identifiers for your research outputs, making them citable.
- Your research outputs are richly described, making it easier for future you to remember what you did years later
- Building a portfolio of research activity that is open access
- Melbourne Data Analytics Platform: You can drop MDAP an email at<EMAIL_ADDRESS>with any questions. If we can't help you, we can put you in touch with someone who can!
- Training ofered through the Digital Studio, lots of interesting things and an upcoming Omeka workshop!
- Digital Skills Training through researcher connect, really good introduction to coding courses!
- Social & Cultural Informatics Platform (SCIP) runs many interesting seminars and workshops.
- If you're working with scores or other text documents and want to know how to do some computer based analysis, then you might be interested in the Music encoding initiative and the Text encoding initiative. Both MDAP and SCIP have people who are expert in these initiative, so reach out if you're interested!
- Licensing
- Ethics
- Ownership
3 VISULISING YOUR DATA
In the last part of the workshop, we looked at cleaning and preparing your data.
We're now going to look at some ways to visualise your data.
This part of the workshop is going to be very hands on. You can use your own data, or follow along with the example dataset. There will be a few notes here but we'll mostly be working with data vis tools. If it is useful, I can upload short how-to videos to this page after the workshop so that you can follow along later.
3.1 Methods for text data
A really great tool for text based analysis is Voyant. Our data isn't really text heavy, but we can still use Voyant to explore some of the fields. Let's hop over to Voyant now for to explore. We're going to work just with the Notes field in our example dataset. Functionalities we will look at include:
There are many other things you can do with Voyant, and it's really easy and fun to explore! It can be really powerful for longer texts like letters, or program notes. Note: if there are ethical considerations around your data (e.g. if you needed UoM ethics to collect it, if you need to be careful who has access to it) then do not use Voyant. We can discuss alternatives if this is something you need to consider.
3.2 Methods for numbers data
For visualising quantitative data, we're going to use a tool you all know: Excel. Like Voyant, Excel is just one tool of many to use for data visualisation. You can do everything and more using a coding language (Python, R), but you can also do a lot with Excel and it is a great way to start exploring the possibilities without having to learn everything at once. We're going to work just with the Document Type field that we created above. Let’s hop over to excel now and take a look. Functionalities we'll look at include:
3.3 Methods for location data
If you're interested in mapping, or if you have location-based data, you can create some really nice maps using freely available software. In this section we're going to talk about mapping using python package called Folium. This is a bit of a change from what we've used previously because here you're working directly with code. We're not going to work with the code here, instead we'll talk through what you can do with this kind of mapping tool. If you're interested, I can create a video tutorial on how to get started with Folium, but for now let's talk about this conceptually. Note: as with the discussion above, there are a lot of different tools that can do mapping, we're just looking at one today. Perhaps you know others? Let's think about this from the perspective of plotting composer birthplaces from the "Author" field. Functionalities we'll discuss include
4 SHARING YOUR DATA
Extra information: if you look into data sharing, you'll likely come across the FAIR and CARE. We won't get into these today, but in brief they are a set of guidelines and recommendations that aim to promote best practice in data sharing.  That's it for today.] end
4.1 Sharing your data and visualisations
The main way that people share their data is using a repository (a digital archive of data and code, but also NTROs and other outputs). UoM has a few repositories, but today we're going to talk about Figshare. We're actually going to go through the steps of entering an item into Figshare. You can follow along if you like, or just watch along as I do it. Some things to note:
OK! Let's jump over to Figshare and add some data and visualisations!
4.2 Showcasing your data and visualisations
Figshare is a repository - it's designed to hold data, visualisations, and other stuff in the long term. But it's not always the best for "showcasing" these. That is, displaying the data nicely for something like a digital exhibition. You might want to do this if you have lots of nice visualisations from your work, or if you're part of a project where others are creating visualisations, or if you want to make it nice and easy for people to see items that you think are important. There are lots of tools you can use to do this, but we're going to look today at Omeka. Unlike Figshare, you can't just log into a UoM Omeka account - you have to request one from RCS. However, today we'll look at an Omeka site that I've been part of in the past, and talk through the functionalities. We'll look at:
4.3 What are the benifits?
There are many benefits to sharing your data and visualisations, here are just a few:
Even if you do not end up sharing research outputs, it is good practice to approach the work like you will because it encourages you to document your steps - this will ultimately help you in the long run when you have to make sense of what you did in the future!
4 WHERE TO NEXT?
A lot of information has been covered in this session.  That's it for today.] end subgraph 2 Visulising your data Q{You want to visualise your data} Q --> G[Methods for text data]-->R Q --> H[Methods for numbers data]-->R Q --> I[Methods for location data]-->R end R[Now you have some nice clean data and some nice visulisations] subgraph 1 Managing your data B{You have some data, but it's a bit messy} B --> D[Sorting out the metadata]-->C B --> E[Cleaning up the data]-->C B --> F[Etablishing your data managment plan]-->C C[Now your data is nice and tidy!] end
Here is a list of additional resources, training, support, and information available at UoM.
Additionally, here are some things we have not touched on in depth. If these things are of interest let us know and we can do a further workshop on this at a later date


---
layout: post
title: blog
date: '2013-10-15T15:01:00.000Z'
author: tknv
tags:
modified_time: '2013-10-15T15:01:09.436Z'
blogger_id: tag:blogger.com,1999:blog-11459759.post-4911572450214608994
blogger_orig_url: https://www.blogger.com/comment.g?blogID=11459759&postID=4911572450214608994
---
[ ] It is an anomaly philosophy of history,evolutionary framework and a freedom from involuntary preoccupation. So it is a way of world peace.
--
tknv/


@* * Copyright 2023 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @(params: Map[String, Any]) @uk.gov.hmrc.hmrcemailrenderer.templates.helpers.html.template_main(params, "Application for agent services account rejected") {
Dear Customer
We have rejected your application for an agent services account for @params("tradingName").
Your application was rejected for the following reasons:
@params.getOrElse("additionalText", "")
Before you reapply, make sure you deal with all the reasons why your application was rejected.
You will need to start a new application. You can do this on GOV.UK.
Do not reply to this email.
From HMRC Agent Services team
}


{% extends "base/base.html" %} {% block page_title %}Delete work hours package {{instance.full_name}}{% endblock %} {% block content %} {% include "work_hours_packages/components/go_back.html" %}


management_layer.transformation module¶
This module defines classes that helps to transform dictionaries. Their purpose is to simply mapping server to client classes and vice versa.
At a high level the following happens:
`
1. body_dict = request.get_json() # Read the request body as JSON, returning a dict
2. server_model = CreatePolicyServerModel.from_dict(body_dict) # The server
model needs to be created, since it does the validation
3. server_model_as_dict = server_model.to_dict()
4. client_model_dict = TheTransform.apply(server_model_as_dict)
5. client_model = CreatePolicyClientModel.from_dict(client_model_dict)
`
Note: Step 5 can also be written as
`
client_model = CreatePolicyClientModel(**client_model_dict)
`
The process for the response from the client is similar. The class returned
needs to be converted to a dictionary, transformed and used to construct the
server response class.
-
class
management_layer.transformation.
Mapping
(input_field, output_field=None, conversion=None)[source]¶ Bases:
object
A class representing a mapping definition
The mapping will be applied to a dictionary field


AlphaSync Unleash Their PC Gaming Black Friday Deals
by Peter DonnellYou’ve heard of eBuyer, but did you know they’ve also got one of the hottest PC brands of the year too? Their PC building team at AlphaSync is pretty fresh to the market but is proving a big hit with consumers. Now, with Black Friday deals upon us, we’re sure they’re about to be even more popular.
AlphaSync has shared with us a few of their most popular deals. However, they’ve got a lot more on offer, so be sure to check the link at the bottom to check out the rest of their range, as well as more deals!
CANINE OMEGA-i9
WAS: £2999.97 – NOW: £2799.88 – SAVING: £200.09
- I9-9900KS
- ASUS ROG STRIX RTX 2080Ti
- 32GB CORSAIR RGB RAM
- 512GB INTEL NVME
- 4TB SEAGATE BARRACUDA
- CORSAIR H100i RGB
- CORSAIR SPEC-OMEGA CASE
CANINE ZEN-X
WAS: £2349.99 – NOW: £2199.96 – SAVING: £150.03
- RYZEN 9 3900X
- ASUS ROG STRIX RTX 2070 SUPER
- 16GB CORSAIR RGB RAM
- 240GB SSD
- 4TB SEAGATE BARRACUDA
- CORSAIR H100i RGB
- CORSAIR 465X iCUE CASE
CANINE CORE-220
WAS: £1799.99 – NOW: £1599.96 – SAVING: £200.03
- I7-9700KF
- ASUS ROG STRIX RTX 2080 SUPER
- 16GB CORSAIR RGB RAM
- 500GB SAMSUNG 970 EVO NVME
- 4TB SEAGATE BARRACUDA
- CORSAIR H100i RGB
- CORSAIR 220T iCUE CASE
CANINE LUNA SPEC-XT
WAS: £1149.99 – NOW: £979.94 – SAVING: £170.05
- Ryzen 7 2700X
- Radeon RX 5700XT
- 16GB CORSAIR RAM
- 240GB Corsair MP510 NVMe SSD
- 1TB SEAGATE BARRACUDA
- CORSAIR SPEC-04 Tempered Glass


Home
What
Why
How
Contact
Dropping prices and dropping food.
Right to your room.
What Do We Do?
We revolutionize. We innovate.
We deliver food 24/7 and offer numerous
discounts for nearby resturants.
Why Are We Doing It?
You tell us what you want. We deliver.
So you can do what you need to, when you need to.
How Does It Work?
Search. Order. Deliver.
Right from our mobile app or website.
And then you get rewarded. With discounts.
How simple is that?
Contact Us!
Sign up for the mailing list. We promise we won't spam.


Arctic sea ice minimum
{#each yTicks as tick}
{tick} {tick === 8 ? ' million sq km' : ''}
{/each}
{#each xTicks as tick}
{width > 380 ? tick : formatMobile(tick)}
{/each}
Average September extent. Source:
NSIDC/NASA


About the workshop¶
We will be taking a look at the basic concepts of data pipelines as well as practical use cases using Python.
About you:¶
Some experience using the command line
Intermediate Python knowledge / use
Be able to apply what we learn and adopt to your use cases
Interested in data and systems
Aspring or current data engineering
Some knowledge about systems and databases (enough to be dangerous)
Our focus for the day¶
Greater understanding on how to apply data pipelines using the Python toolset
Focus on concepts
Apply knowledge with each library
Will give you the building blocks
Keeping on track¶
You will find 🚦 across the tutorial examples. We will use this to identify how folks are doing over the workshop (if following along in person). Place the post it as follows:
🚦 Purple postit: all good, task has been completed
🚦 Orange postit: I need extra time or need help with the task in hand


Landing Page
Special Projects
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.
11/7/2018
Republican Jay Edwards won the race for State Representative of the 94th District, beating Democrat Taylor Sappington 58.29%-41.71% with 98% of precincts reporting in Ohio.
Jay Edwards, a Nelsonville native, is a graduate of Ohio University. He is currently the incumbent for the 94th district.
Edwards is a member of the Athens Area, Nelsonville, Belpre, Meigs County and Marietta Area Chamber of Commerces. He is also a member of Nelsonville Rotary, the Farm Bureau and National Rifle Association. Edwards is also an appointed member of the Athens County Transportation Improvement District and the Meigs County Transportation Improvement District.
Blake Nissen | PHOTO EDITOR
Representative Jay during a debate against Taylor Sappington on October 29, 2018.
Edwards plans on continuing to work for funding of schools, reducing the amount of standardized testing, restoring local government funds, reducing the cost of higher education, the opioid crisis and expanding opportunity in Southeast Ohio.
“We have generational poverty and a lack of opportunity,” Edwards said in an email. “I have worked on many initiatives with Democrats and Republicans in Columbus and on the local level. I have also built a broad based network of area business and organizational leaders. Together we make progress everyday.”
The median income in Athens in $22,204 and the poverty rate is 54.7% according to a report from 24/7 Wall Street. The report rates Athens as number eight in a list of “America’s Poorest Towns.”
“We are working on many projects right here in this region both across the aisle and with fellow Republicans to figure out poverty issues and address them,” Edwards said in a debate with Sappington.
Edwards will continue to fight for fair funding and local control for schools so more time can be spent teaching students, according to his campaign website.
In regard to the opioid crisis, Edwards will work with law enforcement and community leaders to make sure Southeast Ohio has the resources it needs to keep drugs off the streets and expand drug counseling and rehabilitation, according to his campaign website.
Edwards has made the goal to simply show up and listen to what his constituents care about during his campaign.
“A State Representative is supposed to go to Columbus to represent the people in that district,” Edwards said in an email. “The only way to do that is to show up, be accessible, and listen to the issues and ideas that people have.”
Edwards and his opponent agree on a lot of issues, Edwards said in an email. Differences become clear in Edwards’ attempt to always remain bipartisan to issues.
“I do not look at ANYTHING from the perspective of a Democrat or Republican. For me, it is about right versus wrong, not right versus left,” Edwards said in an email.
Edwards spent election night with his family, and said he always tries to spend nights like these with them.
“My family means the world to me,” Edwards said in an email. “There is no way I would even be close to where I am at today if it was not for them.”
Landing Page
This story is part of a series of specially designed stories that represents some of the best journalism The Post has to offer. Check out the rest of the special projects here.


|
MetroCollect
2.3.4
|
#include <string>
#include <string_view>
#include <vector>
#include "MetricTypes.h"
#include "SourceField.h"
#include "SourceInterests.h"
#include "SourceTools.h"
Go to the source code of this file.
Classes | |
| class | MetroCollect::MetricsSource::SourceBase |
| Singleton abstract class, base class of all metric sources classes. More... | |
Namespaces | |
| MetroCollect::MetricsSource | |
| Namespace for sources of metrics objects and operations. | |


This App has no standalone functionality
To use this App, whilst viewing he Document you want to clone, click on the Copy Document App Action
You will be asked for a new Title and a Social group to place the new Document


{% extends "../customer.layout.html" %} {% block content %}
Dear, {{Order.orderInfo.firstName}} {{Order.orderInfo.lastName}}
We have sent you the order.
{% if Order.orderDetails.trackingNumber %}We would like to inform you that the tracking number for your Order Is {{Order.orderDetails.trackingNumber}} and you can track it via the website http://www.track-trace.com/post/
{% endif %}
We remain at your service for anything you may need,
With Regards,
{{Config.App.siteName}} sales team


Results for EDGAR Current Events
The total number of matches for 2019-12-31 is 7 The total number of forms for 2019-12-31 is 2930 Date Filed Form CIK Code Company Name 12-26-2019 10-K 1554054 AMPERICO CORP
12-31-2019 10-K 1502152 AngioSoma, Inc.
12-31-2019 10-K 1310630 China Foods Holdings Ltd.
12-31-2019 10-K 1502966 Digipath, Inc.
12-31-2019 10-K/A 1708176 Gordon Pointe Acquisition Corp.
12-31-2019 10-K/A 1527613 NuZee, Inc.
12-31-2019 10-K 1657249 Road Marshall, Inc.
Perform another current events analysis?
Generated at 21:04:04 EST on January 2, 2020
|


Before Change
for data in pNeighborhoods:
new_line = "\t".join(pInteractionLines[data][:7])
new_line += "\t" + "\t".join(format(float(x), "10.5f") for x in pInteractionLines[0][8:])
new_line += "\t" + format(pNeighborhoods[data][-3], "10.5f") + "\t" + format(pNeighborhoods[data][-2], "10.5f") + "\t" + format(pNeighborhoods[data][-1], "10.5f")
new_line += "\n"
file.write(new_line)
After Change
def write(pOutFileName, pHeader, pNeighborhoods, pInteractionLines, pScores=None):
sum_of_interactions = float(pHeader.split("\t")[-1].split(" ")[-1])
log.debug("sum_of_interactions {}".format(sum_of_interactions))
with open(pOutFileName, "w") as file:
file.write(pHeader)
file.write("//ChrInteraction\tStart\tEnd\tRelative distance\tSum of interactions\tRel Inter target\trbz-score target\tRaw target")


|
|
|
|
|
|
|
|
update_OCCI_kind_descriptions(self,
new_data,
db_data)
Updates the OCCI description field of the kind which document OCCI_ID
is equal to OCCI_ID contained in data (Should only be done by the
creator of the kind document) Args: |
source code
|
|
|
|
update_kind_providers(self,
new_data,
db_data)
Updates the provider field of the kind which document OCCI_ID is
equal to OCCI_ID contained in data (Should only be done by the
creator of the kind document) Args: |
source code
|
|
|
|
delete_kind_documents(self,
descriptions,
db_categories)
Delete kind documents that is related to the scheme + term contained
in the description provided Args: |
source code
|
|


I found this chapter really interesting. STOP, BREATH, NOTICE, REFLECT, RESPOND. The SiBerian North RailRoad to help recognise and handle trigger and emotions that arise from them.
This is a timely lesson now that we're getting towards the bootcamp. I've had a few scenarios where I've reacted straight away to things that annoy me. So now I can follow this technique.
Assesing triggers and why we have triggers is a form of healing. Knowing the root cause of our reaction gives us insight in to how past events affect us if we don't let go and how we're wired.
Blog links


Team Profile
Michael
Manager
ID: 111
Email:
<EMAIL_ADDRESS>Phone: 111-1111
Dwight
Engineer
ID: 222
Email:
<EMAIL_ADDRESS>GitHub:
dshrute
Jim
Intern
ID: 333
Email:
<EMAIL_ADDRESS>School: U of Scranton


Jack in the Box Earnings: JACK Stock Soars 4% Despite Q4 Miss
JACK was one penny away from EPS estimates
Jack in the Box (NASDAQ:JACK) earnings for the fast-food chain’s fiscal fourth quarter of 2019 have JACK stock taking off on Wednesday. This comes after reporting an adjusted EPS of 95 cents on revenue of $221.24 million. Wall Street was expecting 96 cents per share and revenue of $222.82 million.
Here’s what else is worth mentioning from the most recent Jack in the Box earnings report.
- Adjusted per-share earnings are 23.38% higher than 77 cents in fiscal Q4 2018.
- Revenue is 24.66% better than the $177.47 million reported during the same time last year.
- Earnings from operations of $48.52 million are 34.52% better YoY than $36.07 million.
- The Jack in the Box earnings also has it reporting a net income of $22.06 million.
- This is a 35.59% increase over the $16.27 million reported in the same period of the year prior.
Lenny Comma, Chairman and CEO of Jack in the Box, says this about the JACK stock earnings.
“Our 2019 operating results demonstrate the momentum in the Jack in the Box brand, with same-store sales improving to the strongest performance in four years. We have now achieved our ninth consecutive year of positive same-store sales.”
Jack in the Box also outlines its guidance for fiscal 2020 in its current earnings report. That includes seeing system same-store sales growth between 1.50% and 3.00%. It’s also looking for an adjusted EBITDA of approximately $265 to $275 million during the year.
The company will be holding a conference call at 11:30 a.m. Eastern Time on Thursday to go over these results.
JACK stock was up 3.69% in after-hours trading Wednesday.
As of this writing, William White did not hold a position in any of the aforementioned securities.


Here's a more complete explanation of how you should interpret the variables. The classic Euler method updates the position uses the velocity at time t instead of using the updated velocity at time t + Δt. A better idea is to use the velocity at the midpoint t + Δt / 2. The leapfrog method does this in a clever way. It maintains the position and velocity one-half time step out of phase: At the beginning of an iteration, (px, py) represents the position at time t and (vx, vy) represents the velocity at time t - Δt / 2. Interpreting the position and velocity in this way, the updated position (px + Δt vx, py + Δt vy). uses the velocity at time t + Δt / 2. Almost magically, the only special care needed to deal with the half time-steps is to initialize the system's velocity at time t = -Δt / 2 (instead of t = 0.0), and you can assume that we have already done this for you. Note also that the acceleration is computed at time t so that when we update the velocity, we are using the acceleration at the midpoint of the interval under consideration.
/


%= circled_title(2, "Scale deployment") %>
With BOSH it is easy to scale deployments. All you need to do is modify number of instances in manifest file.
Open manifest.yml and change number of instances under job from 1 to 2. Add another IP to list of job static IPs: <IP_ADDRESS>.
Run deploy:
$ bosh deploy
Check that 2 VMs were deployed:
$ bosh vms
Acting as user 'admin' on 'Bosh Lite Director'
Deployment `learn-bosh'
Director task 22
Task 22 done
+-----------+---------+---------------+------------+
| Job/index | State | Resource Pool | IPs |
+-----------+---------+---------------+------------+
| app/0 | running | default | <IP_ADDRESS> |
| app/1 | running | default | <IP_ADDRESS> |
+-----------+---------+---------------+------------+
VMs total: 2
See that we have 2 instances of our service running:
$ curl <IP_ADDRESS>:8080
Hello, you from <uuid-1>
$ curl <IP_ADDRESS>:8080
Hello, you from <uuid-2>


Source code available over there (Apache 2 license) Feel free to send me an email or file an issue on GitHub


dataset update COLLECTION_NAME KEY
update will replace a JSON document in a dataset collection for a given KEY. By default the JSON document is read from standard input but you can specific a spefic file with the “-input” option. The JSON document should aready exist in the collection when you use update.
In this example we assume there is a JSON document on local disc named jane-doe.json. It contains {“name”:“Jane Doe”}
and the KEY is “jane.doe”. In the first one we specify the full JSON document via the command line after the KEY. In the second example we read the data from jane-doe.json. Finally in the last we read the JSON document from standard input and save the update to “jane.doe”. The collection name is “people.ds”.
dataset update people.ds jane.doe '{"name":"Jane Doiel"}'
dataset update people.ds jane.doe jane-doe.json
dataset update -i jane-doe.json people.ds jane.doe
cat jane-doe.json | dataset update people.ds jane.doe


Pastry
Pastry is a dough of flour, water and shortening that may be savory or sweetened. The word “Pastries” suggests many kinds of baked products made from ingredients such as flour, sugar, milk, butter, shortening, baking powder, and eggs. Small tarts and other sweet baked products are called pastries. The French word A pâtisserie is a type of French or Belgian bakery that specializes in pastries and sweets. is also used in English (with or without the accent) for the same foods.
Pastry can also refer to the pastry dough, from which such baked products are made. Pastry dough is rolled out thinly and used as a base for baked products. It is differentiated from bread by having a higher fat content, which contributes to a flaky or crumbly texture. A good pastry is light and airy, but firm enough to support the weight of the filling. When making a shortcrust pastry, care must be taken to blend the fat and flour thoroughly before adding any liquid. This ensures that the flour granules are adequately coated with fat and less likely to develop gluten.


This section implements the Federal Food Donation Act of 2008 (42 U.S.C 1792).
As used in this subpart—
“Apparently wholesome food” means food that meets all quality and labeling standards imposed by Federal, State, and local laws and regulations even though the food may not be readily marketable due to appearance, age, freshness, grade, size, surplus, or other conditions, in accordance with (b)(2) of the Bill Emerson Good Samaritan Food Donation Act (42 U.S.C. 1791(b)).
“Excess food” means food that—
(1) Is not required to meet the needs of the executive agencies; and
(2) Would otherwise be discarded.
“Food-insecure” means inconsistent access to sufficient, safe, and nutritious food.
“Nonprofit organization” means any organization that is—
(1) Described in section 501(c) of the Internal Revenue Code of 1986; and
(2) Exempt from tax under section 501(a) of that Code.
The Government encourages executive agencies and their contractors, to the maximum extent practicable and safe, to donate excess apparently wholesome food to nonprofit organizations that provide assistance to food-insecure people in the United States.
(a) In accordance with the Federal Food Donation Act of 2008 an executive agency shall comply with the following:
(1) Encourage donations. In the applicable contracts stated at section 26.404, encourage contractors, to the maximum extent practicable and safe, to donate apparently wholesome excess food to nonprofit organizations that provide assistance to food-insecure people in the United States.
(2) Costs.
(i) In any case in which a contractor enters into a contract with an executive agency under which apparently wholesome food is donated to food-insecure people in the United States, the head of the executive agency shall not assume responsibility for the costs and logistics of collecting, transporting, maintaining the safety of, or distributing excess, apparently wholesome food to food-insecure people in the United States under this Act.
(ii) The Government will not reimburse any costs incurred by the contractor against this contract or any other contract for the donation of Federal excess foods. Any costs incurred for Federal excess food donations are not considered allowable public relations costs in accordance with 31.205-1(f)(8).
(3) Liability. An executive agency (including an executive agency that enters into a contract with a contractor) and any contractor making donations pursuant to this Act shall be exempt from civil and criminal liability to the extent provided under the Bill Emerson Good Samaritan Food Donation Act (42 U.S.C. 1791).
Insert the clause at 52.226-6, Promoting Excess Food Donation to Nonprofit Organizations, in solicitations and contracts greater than $25,000 for the provision, service, or sale of food in the United States.


You see a door, Humm, you wonder what’s behind it. Right as you reach for the nob A librarian comes out.
"Oh my!" she stammers as she is startled by your presence.
You look behind her and see a computer rack like thing. What’s that you ask. "It’s where we hook up av equipment. Did you need help with something?" She replies.
Sorry, no, you say.


Lithuanian (foreign languages spoken): No (-2.1)
Living with other adult family members, e.g., Grandparents, Cousins, etc.: No (-2.0)
Tagalog/Filipino: No (-2.0)
Move out of parental home: Yes (-1.7)
12 years old: Yes (-1.5)
Birth Year: 1974.0 (-1.4)
age: 58.0 (-1.4)
Birth Year: 1983.0 (-1.4)
In the market for a new job: Not very likely (-1.3)
2 years old: No (-1.3)
Household - time since last moved: 3 to less than 5 years (-1.3)
age: 44.0 (-1.3)
Education (Degree subject studied): No (-1.2)
Source where most recent pet is from: Found it (-1.2)
Kid 2 Gender: Male (-1.2)
Frequency of using outdoor space: Almost every day or more often (-1.2)
Prefer not to answer (Life events in the past 12 months): Yes (-1.2)
Pregnant: Yes (-1.2)
NAICS Industry Code: Real Estate, Rental, and Leasing (-1.2)
Interaction with smarter people: No (-1.2)
age: 23.0 (-1.1)
age: 31.0 (-1.1)
Race: Asian (-1.1)
Move house: Yes (-1.1)
Closer to my family: Yes (-1.1)
Career change if it were possible: Don’t know (-1.1)
Other (Animals (pets or working) owned in household): No (-1.1)
Purchase or sell a house/flat: Yes (-1.1)
Prefer not to answer (Life events planned in the next 12 months): Yes (-1.1)
Birth Year: 1996.0 (-1.1)
age: 79.0 (-1.1)
age: 34.0 (-1.1)
Do you speak Spanish: I speak both Spanish and English equally (-1.1)
None of the above (Life events planned in the next 12 months): No (-1.1)
To travel: Yes (-1.0)
Garden size: Half to 1 tennis court (approximately 1,250 sq ft-2,500 sq ft) (-1.0)
16: No (-1.0)
17 years old: No (-1.0)
Took gap Year/career break: Yes (-1.0)
White: No (-1.0)
Start college or re-enrol in school: Yes (-1.0)
Fish (including outdoor) (Pets owned in household): No (-1.0)
Birth Year: 1992.0 (-1.0)
Tamil (foreign languages spoken): No (-1.0)
age: 26.0 (-1.0)
Buy a car: Yes (-1.0)
Profession or job: Engineer (-1.0)
Age (4-way) 18-29 / 30-44 / 45-64 / 65+: 30-44 (-1.0)
Type school attending: Public (-1.0)
NAICS Industry Code: Engineering, Computer-Related Design, and Architecture (-1.0)
Age (5-way) 18-24 / 25-34 / 35-44 / 45-54 / 55+: 25-34 (-1.0)
Age (6-way) 18-24 / 25-34 / 35-44 / 45-54 / 55-64 / 65+: 25-34 (-1.0)
Level of management at employer: Head of a division, business unit, or large organization within your employer (-1.0)
Kid 1 Gender: Male (-1.0)
Finance / accounting: No (-1.0)
Company Size: 10001+ employees (-1.0)
Finished School/College: Yes (-1.0)
None of the above (Life events in the past 12 months): No (-1.0)
Region: South (-1.0)
Start University: Yes (-1.0)
Moved out of parental home: Yes (-1.0)
Spanish (foreign languages spoken): Yes (-0.9)
Profession or job: Other IT professional (-0.9)
Race: Hispanic (-0.9)
Number of children under 18 in household: 2.0 (-0.9)
Birth Year: 1939.0 (-0.9)
Accounting (Degree subject studied): Yes (-0.9)
Birth Year: 1984.0 (-0.9)
MSFT ITDMs and ITIs: You install, support or maintain either hardware or software. You may make recommendations, but you do not have significant decision-making authority for your department concerning technology purchases (-0.9)
Started University: Yes (-0.9)
Annual Company Revenue: $101 Million to $500 Million (-0.9)
Would switch careers if money was no object: Don’t know (-0.9)
To give back (Reasons for having a side job): Yes (-0.9)
Engineering (Degree subject studied): Yes (-0.9)
Not applicable - I can't speak any other languages other than English: No (-0.9)
Moved abroad: Yes (-0.9)
NAICS Industry Code: Personal Care and Services (-0.9)
age: 38.0 (-0.9)
To discover something new: Yes (-0.9)
Birth Year: 1977.0 (-0.9)
Profession or job: Sales support / Account Manager (-0.9)
Birth Year: 1972.0 (-0.9)
Sell and purchase a house/flat (i.e. in one transaction): Yes (-0.9)
age: 35.0 (-0.9)
Don't know (mixed race): Yes (-0.9)
Oldest Child Age: 3 (-0.9)
Source where most recent pet is from: Breeder (-0.8)
Get engaged: Yes (-0.8)
To create something (Reasons for having a side job): Yes (-0.8)
Profession or job: Executive Assistant / Administrative Assistant (-0.8)
Mandarin/Cantonese: Yes (-0.8)
Do you speak Spanish: I speak English primarily but can speak Spanish (-0.8)
Frequency of using outdoor space: About once a month (-0.8)
Type of Area Living In: City (-0.8)
Country of Birth: Philippines (-0.8)
The money: Yes (-0.8)
To build an empire: Yes (-0.8)
Purchased first home: Yes (-0.8)
Profession or job: Artist, graphic artist, visual design specialist (-0.8)
Other (Working animals owned in household): Yes (-0.8)


Total management is a free, tableless, W3C-compliant web design layout by Template
World. This template has been tested and proven compatible with all major browser
environments and operating systems. You are free to modify the design to suit your
tastes in any way you like.
We only ask you to not remove "Design by Template World" and the link
http://wwww.templateworld.com from the footer of the template.
If you are interested in seeing more of our free web template designs feel freeto visit our
website, Template World. We intend to add at least 25 new free templates in the coming
month.


{% extends "base.html" %} {% block title %} {% endblock title %} {% block body %}
Calculate the most likely admission id and discharge disposition id
{{text}}


This is the beginning of my new adventure into web-design.
It's a waste of time doing what you know, wheres the fun in that?


extension.py |
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|---|---|
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WebCore extension management. This extension registry handles loading and access to extensions as well as the collection of standard WebCore
Extension API callbacks. Reference the At a basic level an extension is a class. That's it; attributes and methods are used to inform the manager of extension metadata and register callbacks for certain events. The most basic extension is one that does nothing:
To register your extension, add a reference to it to your project's
Your extension may define several additional properties:
Tags used as |
|
Imports |
from __future__ import unicode_literals
from marrow.package.host import ExtensionManager
from .compat import items
from .context import Context
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Module Globals |
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A standard Python logger object. |
log = __import__('logging').getLogger(__name__)
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Extension Manager |
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Principal WebCore extension manager. |
class WebExtensions(ExtensionManager):
|
|
Each of these is an optional extension callback attribute. |
SIGNALS = ( # Extension hooks.
'start', # Executed during Application construction.
'stop', # Executed when (and if) the serve() server returns.
'graceful', # Executed when (and if) the process is instructed to reload configuration.
'prepare', # Executed during initial request processing.
'dispatch', # Executed once for each dispatch event.
'before', # Executed after all extension `prepare` methods have been called, prior to dispatch.
'after', # Executed after dispatch has returned and the response populated.
'mutate', # Inspect and potentially mutate arguments to the handler prior to execution.
'transform', # Transform the result returned by the handler and apply it to the response.
'middleware', # Executed to allow WSGI middleware wrapping.
)
__isabstractmethod__ = False # Work around a Python 3.4+ issue when attaching to the context.
|
__init__(ctx: ApplicationContext)Extension registry constructor. The extension registry is not meant to be instantiated by third-party software. Instead, access the registry
as an attribute of the current Application or Request context: Currently, this uses some application-internal shenanigans to construct the initial extension set. |
def __init__(self, ctx):
self.feature = set() # Track the active `provides` tags.
self.all = self.order(ctx.app.config['extensions']) # Needs/uses/provides-dependency ordered active extensions.
signals = {signal: [] for signal in self.SIGNALS} # Prepare the known callback sets.
for ext in self.all:
self.feature.update(getattr(ext, 'provides', [])) # Enable those flags.
for mn in self.SIGNALS: # Attach any callbacks that might exist.
m = getattr(ext, mn, None)
if m: signals[mn].append(m)
if hasattr(ext, '__call__'): # This one is aliased; the extension itself is treated as WSGI middleware.
signals['middleware'].append(ext)
|
|
Certain operations act as a stack, i.e. "before" are executed in dependency order, but "after" are executed in reverse dependency order. This is also the case with "mutate" (incoming) and "transform" (outgoing). |
signals['after'].reverse()
signals['transform'].reverse()
signals['middleware'].reverse()
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Transform the signal lists into tuples to compact them. |
self.signal = Context(**{k: tuple(v) for k, v in items(signals)})
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This will save a chain() call on each request by pre-prepending the two lists. Attempts to add extensions during runtime are complicated by this optimization. |
self.signal['pre'] = tuple(signals['prepare'] + signals['before'])
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Continue up the chain with the |
super(WebExtensions, self).__init__('web.extension')
|


fprime_gds.common.handlers
¶
handlers.py:
Defines a set of base classes that allow for the system to handle various functions of the system. Primarily this defines the “DataHandler” base class for handling data.
@author mstarch
Module Contents¶
Classes¶
Defines the necessary functions required to handle data as part of the F prime project. This allows any implementor |
|
Defines a class that will take in registrants and remember them for calling back later. These objects should be of |
-
class
fprime_gds.common.handlers.
DataHandler
[source]¶ Bases:
abc.ABC
Defines the necessary functions required to handle data as part of the F prime project. This allows any implementor to be used to handle data.
-
abstract
data_callback
(self, data, sender=None)[source]¶ Callback function used to handle data being produced elsewhere in the system and processed by the given object. Data supplied should be of a known type for the given object, and sender is an id of the sender. If not supplied sender will be None.
- Parameters
data – data to be handled by this class
sender – (optional) id of sender, otherwise None
-
abstract
-
class
fprime_gds.common.handlers.
HandlerRegistrar
[source]¶ Bases:
abc.ABC
Defines a class that will take in registrants and remember them for calling back later. These objects should be of the type “DataHandler” as this handler will send data back to these handlers when asked to do so.
-
register
(self, registrant)[source]¶ Register a registrant with this registrar. Will be stored and called back when asked to send data to all the handlers registered.
- Parameters
registrant – handler to register
-
deregister
(self, registrant)[source]¶ Remove a registrant from the registrar such that it will not be called back later. Note: ignores invalid removals by trapping the error, as the desired effect is already satisfied.
- Parameters
registrant – registrant to remove
- Returns
True if found, False if not. May safely be ignored.
-
Build: 1.4.1


SARAI STAPLETON MAOM, L.AC., FABORM
Sarai, a licensed Dipl. of Oriental
Medicine, owns Axis Acupuncture
of Austin and specializes in fertility
challenges and reproductive
health. She is an inaugural fellow
of the American Board of Oriental
Reproductive Medicine, and
began her practice initially with
Randine Lewis, founder of The
Fertile Soul and author of The
Infertility Cure.
Sarai created CFC as a means
to empower women in their
journey to conceive by providing
resources that are educated in
modern medicine and steeped
in ancient tradition to help
optimize fertility. |
ROSALIND HANEY, RN, CCN
Rosalind provides fertility guidance
through her knowledge as
a Registered Nurse, clinical nutritionist,
childbirth educator and
infertility nurse. She believes
strongly in the body’s inherent
ability to heal and reproduce.
Rosalind teaches the biology of
reproductive health and helps
individuals and couples identify
the simple diet and lifestyle
choices they need to enable fertility
and a healthy pregnancy. |
SANDY GARCIA, MD
Dr. Garcia has been a pediatric ER
physician at Dell Children’s hospital
for 10 years. She is an Austin
native, with interests in complementary
medicine and fertility.
She brings experiential as well as
western medical knowledge to
benefit those going through the
fertility journey. |
DAPHNE CARRICK, RN, MSN
Daphne has been a registered
nurse for 19 years and holds
a Masters degree in Nursing.
Licensed as a Clinical Nurse
Specialist in California, she spent
the majority of her nursing career
in Women’s Health.  Due
to experiencing her own fertility
challenges, her focus and passion
shifted to supporting and empowering
other women who are
experiencing similar difficulties. |