Organization units (OU) can be used to hierarchically group users and entities.
An OU is represented by the OrganizationUnit entity. Fundamental properties of this entity are;
OrganizationUnit entitiy's primary key (Id) is long and it derives from FullAuditedEntity which provides audit information and implements ISoftDelete interface (so, OUs are not deleted from database, they are just marked as deleted).
Since an OU can have a parent, all OUs of a tenant are in a tree structure. There are some rules for this tree;
OU code is automatically generated and maintained by OrganizationUnit Manager. It's a string something like:
"00001.00042.00005"
This code can be used to easily query database for all children (recursively) of an OU. There are some rules for this code;
OrganizationUnitManager class can be injected and used to manage OUs. Common use cases are:
OrganizationUnitManager is designed to work for a single tenant in a time. It works for the current tenant as default.
Here, we will see common use cases for OUs. You can find source code of the samples here.
Most obvious usage of OUs is to assign an entity to an OU. Let's see a sample entity:
public class Product : Entity, IMustHaveTenant, IMustHaveOrganizationUnit
{
public virtual int TenantId { get; set; }
public virtual long OrganizationUnitId { get; set; }
public virtual string Name { get; set; }
public virtual float Price { get; set; }
}
We simple created OrganizationUnitId property to assign this entity to an OU. IMustHaveOrganizationUnit defines the OrganizationUnitId property. We don't have to implement it, but it's suggested to provide standardization. There is also an IMayHaveOrganizationId which has a nullable OrganizationUnitId property.
Now, we can relate a Product to an OU and query products of a specific OU.
Notice that; Product entity have a TenantId (which is a property of IMustHaveTenant) to distinguish products of different tenants in a multi-tenant application (see multi tenancy document). If your application is not multi-tenant, you don't need this interface and property.
Getting Products of an OU is simple. Let's see this sample domain service:
public class ProductManager : IDomainService
{
private readonly IRepository<Product> _productRepository;
public ProductManager(IRepository<Product> productRepository)
{
_productRepository = productRepository;
}
public List<Product> GetProductsInOu(long organizationUnitId)
{
return _productRepository.GetAllList(p => p.OrganizationUnitId == organizationUnitId);
}
}
We can simply write a predicate against Product.OrganizationUnitId as shown above.
We may want to get Products of an organization unit including child organization units. In this case, OU Code can help us:
public class ProductManager : IDomainService
{
private readonly IRepository<Product> _productRepository;
private readonly IRepository<OrganizationUnit, long> _organizationUnitRepository;
public ProductManager(
IRepository<Product> productRepository,
IRepository<OrganizationUnit, long> organizationUnitRepository)
{
_productRepository = productRepository;
_organizationUnitRepository = organizationUnitRepository;
}
[UnitOfWork]
public virtual List<Product> GetProductsInOuIncludingChildren(long organizationUnitId)
{
var code = _organizationUnitRepository.Get(organizationUnitId).Code;
var query =
from product in _productRepository.GetAll()
join organizationUnit in _organizationUnitRepository.GetAll() on product.OrganizationUnitId equals organizationUnit.Id
where organizationUnit.Code.StartsWith(code)
select product;
return query.ToList();
}
}
First, we got code of the given OU. Then we created a LINQ with a join and StartsWith(code) condition (StartsWith creates a LIKE query in SQL). Thus, we can hierarchically get products of an OU.
We may want to get all products those are in OUs of a specific user. Example code:
public class ProductManager : IDomainService
{
private readonly IRepository<Product> _productRepository;
private readonly UserManager _userManager;
public ProductManager(
IRepository<Product> productRepository,
UserManager userManager)
{
_productRepository = productRepository;
_organizationUnitRepository = organizationUnitRepository;
_userManager = userManager;
}
public async Task<List<Product>> GetProductsForUserAsync(long userId)
{
var user = await _userManager.GetUserByIdAsync(userId);
var organizationUnits = await _userManager.GetOrganizationUnitsAsync(user);
var organizationUnitIds = organizationUnits.Select(ou => ou.Id);
return await _productRepository.GetAllListAsync(p => organizationUnitIds.Contains(p.OrganizationUnitId));
}
}
We simply found Ids of OUs of the user. Then used Contains condition while getting products. Surely, we could create a LINQ query with join to get the same list.
We may want to get products in user's OUs including their child OUs:
public class ProductManager : IDomainService
{
private readonly IRepository<Product> _productRepository;
private readonly IRepository<OrganizationUnit, long> _organizationUnitRepository;
private readonly UserManager _userManager;
public ProductManager(
IRepository<Product> productRepository,
IRepository<OrganizationUnit, long> organizationUnitRepository,
UserManager userManager)
{
_productRepository = productRepository;
_organizationUnitRepository = organizationUnitRepository;
_userManager = userManager;
}
[UnitOfWork]
public virtual async Task<List<Product>> GetProductsForUserIncludingChildOusAsync(long userId)
{
var user = await _userManager.GetUserByIdAsync(userId);
var organizationUnits = await _userManager.GetOrganizationUnitsAsync(user);
var organizationUnitCodes = organizationUnits.Select(ou => ou.Code);
var query =
from product in _productRepository.GetAll()
join organizationUnit in _organizationUnitRepository.GetAll() on product.OrganizationUnitId equals organizationUnit.Id
where organizationUnitCodes.Any(code => organizationUnit.Code.StartsWith(code))
select product;
return query.ToList();
}
}
We combined Any with StartsWith condition in a LINQ join statement.
Surely, there may be much more complex requirements, but all can be done with LINQ or SQL.
You can inject and use IOrganizationUnitSettings interface to get Organization Units setting values. Currently, there is just a single setting that can be changed for your application needs:
You can change setting values using setting manager.


Click here for a random Wikipedia article
🔍
Written and coded by quantuumsnot for "Build a Wikipedia Viewer" challenge on freeCodeCamp


- Preamble
- read this once
- then read it again
- then tell it to your best friend
The Story
Once upon a time there was a Chinese farmer whose horse ran away. That evening, all of his neighbors came around to commiserate. They said,--- Alan Watts
We are so sorry to hear your horse has run away. This is most unfortunate.The farmer said,Maybe.
The next day the horse came back bringing seven wild horses with it, and in the evening everybody came back and said,Oh, isn’t that lucky. What a great turn of events. You now have eight horses!The farmer again said,Maybe.
The following day his son tried to break one of the horses, and while riding it, he was thrown and broke his leg. The neighbors then said,Oh dear, that’s too bad,and the farmer responded,Maybe.
The next day the conscription officers came around to conscript people into the army, and they rejected his son because he had a broken leg. Again all the neighbors came around and said,Isn’t that great!Again, he said,Maybe.
The whole process of nature is an integrated process of immense complexity, and it’s really impossible to tell whether anything that happens in it is good or bad — because you never know what will be the consequence of the misfortune; or, you never know what will be the consequences of good fortune.
| Event | Good or Bad ? |
|---|---|
| Lose a horse | Maybe |
| Win more horses | Maybe |
| Son injury | Maybe |
| Avoid war | Maybe |
Conclusion Good and Bad are just one perspective. Bananas are good for monkeys, but monkeys are not good for bananas. Let's not make a big deal out of it...


I'm an incredibly passionate and driven individual who strives for success in dancing, DJ'ing, and software development
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I'm currently studying Computer Engineering at University of Illinois Urbana-Champaign
Technical Experience
TD Ameritrade
Business Analyst Intern
Developed customizable forms using Microsoft SharePoint and InfoPath to help organize projects
Communicated client's business requirements to software developers by writing a Business Requirements Document (BRD) to set standards for code
Contructed an algorithm to prioritize projects based on resources required, cost, urgency etc.
W. W. Grainger
Back-end Developer Intern
Created a new component controller to connect the back-end to front-end via a CMS page for grainger.com's Bulk Order Pad, a stream of income that generates 20$\%$ of Grainger's online revenue
Simplified the existing Bulk Order Pad controller by 10 times in Java to parse data for "Add-to-Cart" and "Add-to-List" models on the Bulk Order Pad that accepts Ajax Requests and returns JSON payloads
Ensured backwards compatibility of the Bulk Order Pad by implementing a feature toggle with an .impex file
Completed stories on the Checkout Agile Sprint Team to solve software issues in Java, Handlebars and JSP
Wrote JUnit tests to ensure code was well tested using Mockito
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NoSQL data-store
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Whenever data is updated in Firebase, it sends the update down to every listening client
SDKs
var ref = new Firebase('https://webapi.firebaseio.com/realtime');
ref.set('All the things');
var label = document.getElementById('labelRealtime');
var ref = new Firebase('https://webapi.firebaseio.com/realtime');
ref.on('value', function(snap) {
label.innerText = snap.val();
});
var ref = new Firebase('https://webapi.firebaseio.com/');
// Login with Google
ref.authWithOAuthPopup('google', function(error, authData) {
console.log(authData);
});
// Listen for authentcated users
ref.onAuth(function(authData) {
if(authData) {
console.log('User is logged in!');
}
});
Demo: gdg-seattle.firebaseapp.com/demo
Source: github.com/mckoss/firebase-intro
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Founded in 2011
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Google Acquisition in 2014
The user doesn't care how many databases you have
What matters is that your app is fast and enjoyable


public class GenericDescriptorMatcher
extends java.lang.Object
Abstract interface for extracting and matching a keypoint descriptor. There
are also "DescriptorExtractor" and "DescriptorMatcher" for these purposes but
their interfaces are intended for descriptors represented as vectors in a
multidimensional space. GenericDescriptorMatcher
is a more
generic interface for descriptors. DescriptorMatcher
and
GenericDescriptorMatcher
have two groups of match methods: for
matching keypoints of an image with another image or with an image set.
class GenericDescriptorMatcher
// C++ code:
public:
GenericDescriptorMatcher();
virtual ~GenericDescriptorMatcher();
virtual void add(const vector
vector
const vector
const vector
virtual void clear();
virtual void train() = 0;
virtual bool isMaskSupported() = 0;
void classify(const Mat& queryImage,
vector
const Mat& trainImage,
vector
void classify(const Mat& queryImage,
vector
/ *
void match(const Mat& queryImage, vector
const Mat& trainImage, vector
vector
void knnMatch(const Mat& queryImage, vector
const Mat& trainImage, vector
vector
const Mat& mask=Mat(), bool compactResult=false) const;
void radiusMatch(const Mat& queryImage, vector
const Mat& trainImage, vector
vector
const Mat& mask=Mat(), bool compactResult=false) const;
/ *
void match(const Mat& queryImage, vector
vector
void knnMatch(const Mat& queryImage, vector
vector
const vector
void radiusMatch(const Mat& queryImage, vector
vector
const vector
virtual void read(const FileNode&);
virtual void write(FileStorage&) const;
virtual Ptr
protected:...
};
| Modifier and Type | Method and Description |
|---|---|
void |
add(java.util.List<Mat> images,
java.util.List<MatOfKeyPoint> keypoints)
Adds images and their keypoints to the training collection stored in the
class instance.
|
void |
classify(Mat queryImage,
MatOfKeyPoint queryKeypoints)
Classifies keypoints from a query set.
|
void |
classify(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints)
Classifies keypoints from a query set.
|
void |
clear()
Clears a train collection (images and keypoints).
|
GenericDescriptorMatcher |
clone() |
GenericDescriptorMatcher |
clone(boolean emptyTrainData) |
static GenericDescriptorMatcher |
create(int matcherType) |
boolean |
empty() |
java.util.List<Mat> |
getTrainImages()
Returns a train image collection.
|
java.util.List<MatOfKeyPoint> |
getTrainKeypoints()
Returns a train keypoints collection.
|
boolean |
isMaskSupported()
Returns
true if a generic descriptor matcher supports masking
permissible matches. |
void |
knnMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
java.util.List<MatOfDMatch> matches,
int k)
Finds the
k best matches for each query keypoint. |
void |
knnMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
java.util.List<MatOfDMatch> matches,
int k,
java.util.List<Mat> masks,
boolean compactResult)
Finds the
k best matches for each query keypoint. |
void |
knnMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
java.util.List<MatOfDMatch> matches,
int k)
Finds the
k best matches for each query keypoint. |
void |
knnMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
java.util.List<MatOfDMatch> matches,
int k,
Mat mask,
boolean compactResult)
Finds the
k best matches for each query keypoint. |
void |
match(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
MatOfDMatch matches)
Finds the best match in the training set for each keypoint from the query
set.
|
void |
match(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
MatOfDMatch matches,
Mat mask)
Finds the best match in the training set for each keypoint from the query
set.
|
void |
match(Mat queryImage,
MatOfKeyPoint queryKeypoints,
MatOfDMatch matches)
Finds the best match in the training set for each keypoint from the query
set.
|
void |
match(Mat queryImage,
MatOfKeyPoint queryKeypoints,
MatOfDMatch matches,
java.util.List<Mat> masks)
Finds the best match in the training set for each keypoint from the query
set.
|
void |
radiusMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
java.util.List<MatOfDMatch> matches,
float maxDistance)
For each query keypoint, finds the training keypoints not farther than the
specified distance.
|
void |
radiusMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
java.util.List<MatOfDMatch> matches,
float maxDistance,
java.util.List<Mat> masks,
boolean compactResult)
For each query keypoint, finds the training keypoints not farther than the
specified distance.
|
void |
radiusMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
java.util.List<MatOfDMatch> matches,
float maxDistance)
For each query keypoint, finds the training keypoints not farther than the
specified distance.
|
void |
radiusMatch(Mat queryImage,
MatOfKeyPoint queryKeypoints,
Mat trainImage,
MatOfKeyPoint trainKeypoints,
java.util.List<MatOfDMatch> matches,
float maxDistance,
Mat mask,
boolean compactResult)
For each query keypoint, finds the training keypoints not farther than the
specified distance.
|
void |
read(java.lang.String fileName)
Reads a matcher object from a file node.
|
void |
train()
Trains descriptor matcher
|
void |
write(java.lang.String fileName)
Writes a match object to a file storage.
|
public static final int FERN
public static final int ONEWAY
public void add(java.util.List<Mat> images, java.util.List<MatOfKeyPoint> keypoints)
Adds images and their keypoints to the training collection stored in the class instance.
images
- Image collection.keypoints
- Point collection. It is assumed that keypoints[i]
are keypoints detected in the image images[i]
.public void classify(Mat queryImage, MatOfKeyPoint queryKeypoints)
Classifies keypoints from a query set.
The method classifies each keypoint from a query set. The first variant of
the method takes a train image and its keypoints as an input argument. The
second variant uses the internally stored training collection that can be
built using the GenericDescriptorMatcher.add
method.
The methods do the following:
GenericDescriptorMatcher.match
method to find
correspondence between the query set and the training set.
class_id
field of each keypoint from the query
set to class_id
of the corresponding keypoint from the training
set.
queryImage
- Query image.queryKeypoints
- Keypoints from a query image.public void classify(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints)
Classifies keypoints from a query set.
The method classifies each keypoint from a query set. The first variant of
the method takes a train image and its keypoints as an input argument. The
second variant uses the internally stored training collection that can be
built using the GenericDescriptorMatcher.add
method.
The methods do the following:
GenericDescriptorMatcher.match
method to find
correspondence between the query set and the training set.
class_id
field of each keypoint from the query
set to class_id
of the corresponding keypoint from the training
set.
queryImage
- Query image.queryKeypoints
- Keypoints from a query image.trainImage
- Train image.trainKeypoints
- Keypoints from a train image.public void clear()
Clears a train collection (images and keypoints).
public GenericDescriptorMatcher clone()
clone
in class java.lang.Object
public GenericDescriptorMatcher clone(boolean emptyTrainData)
public static GenericDescriptorMatcher create(int matcherType)
public boolean empty()
public java.util.List<Mat> getTrainImages()
Returns a train image collection.
public java.util.List<MatOfKeyPoint> getTrainKeypoints()
Returns a train keypoints collection.
public boolean isMaskSupported()
Returns true
if a generic descriptor matcher supports masking
permissible matches.
public void knnMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, java.util.List<MatOfDMatch> matches, int k)
Finds the k
best matches for each query keypoint.
The methods are extended variants of GenericDescriptorMatch.match
.
The parameters are similar, and the semantics is similar to DescriptorMatcher.knnMatch
.
But this class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointsmatches
- a matchesk
- a kpublic void knnMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, java.util.List<MatOfDMatch> matches, int k, java.util.List<Mat> masks, boolean compactResult)
Finds the k
best matches for each query keypoint.
The methods are extended variants of GenericDescriptorMatch.match
.
The parameters are similar, and the semantics is similar to DescriptorMatcher.knnMatch
.
But this class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointsmatches
- a matchesk
- a kmasks
- a maskscompactResult
- a compactResultpublic void knnMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, java.util.List<MatOfDMatch> matches, int k)
Finds the k
best matches for each query keypoint.
The methods are extended variants of GenericDescriptorMatch.match
.
The parameters are similar, and the semantics is similar to DescriptorMatcher.knnMatch
.
But this class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointstrainImage
- a trainImagetrainKeypoints
- a trainKeypointsmatches
- a matchesk
- a kpublic void knnMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, java.util.List<MatOfDMatch> matches, int k, Mat mask, boolean compactResult)
Finds the k
best matches for each query keypoint.
The methods are extended variants of GenericDescriptorMatch.match
.
The parameters are similar, and the semantics is similar to DescriptorMatcher.knnMatch
.
But this class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointstrainImage
- a trainImagetrainKeypoints
- a trainKeypointsmatches
- a matchesk
- a kmask
- a maskcompactResult
- a compactResultpublic void match(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, MatOfDMatch matches)
Finds the best match in the training set for each keypoint from the query set.
The methods find the best match for each query keypoint. In the first variant
of the method, a train image and its keypoints are the input arguments. In
the second variant, query keypoints are matched to the internally stored
training collection that can be built using the GenericDescriptorMatcher.add
method. Optional mask (or masks) can be passed to specify which query and
training descriptors can be matched. Namely, queryKeypoints[i]
can be matched with trainKeypoints[j]
only if mask.at
is non-zero.
queryImage
- Query image.queryKeypoints
- Keypoints detected in queryImage
.trainImage
- Train image. It is not added to a train image collection
stored in the class object.trainKeypoints
- Keypoints detected in trainImage
. They are
not added to a train points collection stored in the class object.matches
- Matches. If a query descriptor (keypoint) is masked out in
mask
, match is added for this descriptor. So, matches
size may be smaller than the query keypoints count.public void match(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, MatOfDMatch matches, Mat mask)
Finds the best match in the training set for each keypoint from the query set.
The methods find the best match for each query keypoint. In the first variant
of the method, a train image and its keypoints are the input arguments. In
the second variant, query keypoints are matched to the internally stored
training collection that can be built using the GenericDescriptorMatcher.add
method. Optional mask (or masks) can be passed to specify which query and
training descriptors can be matched. Namely, queryKeypoints[i]
can be matched with trainKeypoints[j]
only if mask.at
is non-zero.
queryImage
- Query image.queryKeypoints
- Keypoints detected in queryImage
.trainImage
- Train image. It is not added to a train image collection
stored in the class object.trainKeypoints
- Keypoints detected in trainImage
. They are
not added to a train points collection stored in the class object.matches
- Matches. If a query descriptor (keypoint) is masked out in
mask
, match is added for this descriptor. So, matches
size may be smaller than the query keypoints count.mask
- Mask specifying permissible matches between an input query and
train keypoints.public void match(Mat queryImage, MatOfKeyPoint queryKeypoints, MatOfDMatch matches)
Finds the best match in the training set for each keypoint from the query set.
The methods find the best match for each query keypoint. In the first variant
of the method, a train image and its keypoints are the input arguments. In
the second variant, query keypoints are matched to the internally stored
training collection that can be built using the GenericDescriptorMatcher.add
method. Optional mask (or masks) can be passed to specify which query and
training descriptors can be matched. Namely, queryKeypoints[i]
can be matched with trainKeypoints[j]
only if mask.at
is non-zero.
queryImage
- Query image.queryKeypoints
- Keypoints detected in queryImage
.matches
- Matches. If a query descriptor (keypoint) is masked out in
mask
, match is added for this descriptor. So, matches
size may be smaller than the query keypoints count.public void match(Mat queryImage, MatOfKeyPoint queryKeypoints, MatOfDMatch matches, java.util.List<Mat> masks)
Finds the best match in the training set for each keypoint from the query set.
The methods find the best match for each query keypoint. In the first variant
of the method, a train image and its keypoints are the input arguments. In
the second variant, query keypoints are matched to the internally stored
training collection that can be built using the GenericDescriptorMatcher.add
method. Optional mask (or masks) can be passed to specify which query and
training descriptors can be matched. Namely, queryKeypoints[i]
can be matched with trainKeypoints[j]
only if mask.at
is non-zero.
queryImage
- Query image.queryKeypoints
- Keypoints detected in queryImage
.matches
- Matches. If a query descriptor (keypoint) is masked out in
mask
, match is added for this descriptor. So, matches
size may be smaller than the query keypoints count.masks
- Set of masks. Each masks[i]
specifies permissible
matches between input query keypoints and stored train keypoints from the
i-th image.public void radiusMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, java.util.List<MatOfDMatch> matches, float maxDistance)
For each query keypoint, finds the training keypoints not farther than the specified distance.
The methods are similar to DescriptorMatcher.radius
. But this
class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointsmatches
- a matchesmaxDistance
- a maxDistancepublic void radiusMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, java.util.List<MatOfDMatch> matches, float maxDistance, java.util.List<Mat> masks, boolean compactResult)
For each query keypoint, finds the training keypoints not farther than the specified distance.
The methods are similar to DescriptorMatcher.radius
. But this
class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointsmatches
- a matchesmaxDistance
- a maxDistancemasks
- a maskscompactResult
- a compactResultpublic void radiusMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, java.util.List<MatOfDMatch> matches, float maxDistance)
For each query keypoint, finds the training keypoints not farther than the specified distance.
The methods are similar to DescriptorMatcher.radius
. But this
class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointstrainImage
- a trainImagetrainKeypoints
- a trainKeypointsmatches
- a matchesmaxDistance
- a maxDistancepublic void radiusMatch(Mat queryImage, MatOfKeyPoint queryKeypoints, Mat trainImage, MatOfKeyPoint trainKeypoints, java.util.List<MatOfDMatch> matches, float maxDistance, Mat mask, boolean compactResult)
For each query keypoint, finds the training keypoints not farther than the specified distance.
The methods are similar to DescriptorMatcher.radius
. But this
class does not require explicitly computed keypoint descriptors.
queryImage
- a queryImagequeryKeypoints
- a queryKeypointstrainImage
- a trainImagetrainKeypoints
- a trainKeypointsmatches
- a matchesmaxDistance
- a maxDistancemask
- a maskcompactResult
- a compactResultpublic void read(java.lang.String fileName)
Reads a matcher object from a file node.
fileName
- a fileNamepublic void train()
Trains descriptor matcher
Prepares descriptor matcher, for example, creates a tree-based structure, to extract descriptors or to optimize descriptors matching.
public void write(java.lang.String fileName)
Writes a match object to a file storage.
fileName
- a fileName


Constructor
new Laic(namespaceopt)
Laic
provides a dependency container. It supports dependency
namespaces. By default, all dependencies are added to a global namespace.
However, it is easy to define a new namespace at instantiation time by
supplying a name. It is suggested you do so as Laic
is a
singleton object. Thus, if multiple modules in a project depend upon
Laic
then all of those modules will share the same
Laic
instance.
Note: if you use a Symbol for the namespace identifier then you will need to use Laic#getNamespace to retrieve the namespace.
Parameters:
| Name | Type | Attributes | Description |
|---|---|---|---|
namespace |
string | Symbol |
<optional> |
A Namespace to create in addition to the global namespace. Can be a path as is supported by Laic#addNamespacePath. |
Methods
addNamespace(namespaceName, nsRoot) → {Namespace}
Adds a new Namespace to the Laic instance. The namespace
can be accessed as a property of the Laic
instance.
Note: if you use a Symbol for the namespace identifier then you will need to use Laic#getNamespace to retrieve the namespace.
Parameters:
| Name | Type | Description |
|---|---|---|
namespaceName |
string | Symbol | An identifier for the namespace to create. |
nsRoot |
Namespace | The top level namespace for child namespaces. Used for internal tracking. If not defined, it is assumed the namespace itself is the root. |
Throws:
namespaceName
is given.
Returns:
- Type
- Namespace
Example
const laic = new Laic();
laic.addNamespace('foo');
laic.foo; // The namespace that was just added
addNamespacePath(path) → {Namespace}
Adds a nested set of Namespaces based on a given
path
.
Parameters:
| Name | Type | Description |
|---|---|---|
path |
string | A Unix style path without a leading /. |
Throws:
-
If the path is a symbol or not really a path.
- Type
- Error
Returns:
- Type
- Namespace
Example
const laic = new Laic();
const nsPath = laic.addNamespacePath('foo/bar');
nsPath.bar.register('today', new Date());
console.log(laic.foo.bar.get('today')); // today's date
get(dependencyName) → {*|undefined}
Retrieve a value from the namespace. By default, the value will be retrieved from the global namespace unless the instance is itself a namespace. You can retrieve a namespace other than the global one via Laic#getNamespace or, if it has a String name, by referencing the name in a chain.
Parameters:
| Name | Type | Description |
|---|---|---|
dependencyName |
string | Symbol | The dependency name to retrieve. |
Returns:
undefined
if it was
not found.
- Type
- * | undefined
Examples
const laic = new Laic('foo');
laic.foo.register('bar', 'foobar');
console.log(laic.foo.get('bar')); // 'foobar'
console.log(laic.getNamespace('foo').get('bar')); // 'foobar'
const laic = new Laic('foo/bar');
laic.foo.bar.register('today', new Date());
console.log(laic.get('foo/bar/today')); // today's date
getNamespace(name) → {Namespace}
Retrieve a namespace that is identified by the given name.
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string | Symbol | The identifier for the namespace. |
Returns:
name
was not found.
- Type
- Namespace
loadDir(dir) → {Laic}
Given a path relative to the project's root directory, load any
.js
or .json
files, except for index
files, within that directory. The files will be loaded with
Laic#loadFile. As such, the same rules that apply to
loadFile
apply to loadDir
.
Parameters:
| Name | Type | Description |
|---|---|---|
dir |
string | Relative path to a directory to load, e.g 'foo/bar'. |
Returns:
loadDir
was
invoked.
- Type
- Laic
loadFile(file) → {Laic}
Given a file name, possibly with a path, determine the absolute
path to the file and require
it. Once loaded, store the
instance in the current namespace.
The starting location for lookups is the root directory of the parent project. That is, if you installed Laic as a dependency for project 'foobar', then Laic will look in 'foobar/' and its subdirectories (if given a subdirectory path).
Paths should not start with a leading slash, and should end with the basename of the file to load.
The given path will be used as the namespace for storage, or global if it is in the root directory, with the basename of the file used as the registration name.
Parameters:
| Name | Type | Description |
|---|---|---|
file |
string | A filename in the project root or a path to a file in a subdirectory of the project root. |
Throws:
-
If a given path does not resolve to a valid directory.
- Type
- Error
Returns:
- Type
- Laic
Example
const laic = new Laic();
laic.loadFile('foo/bar'); // directory: 'foo', file: 'bar.js'
laic.foo.get('bar'); // return the 'bar' instance
register(name, instance, init) → {Namespace}
Adds an object to the namespace under the given name. If the object has already been added, and has the '@singleton' annotation, then the instance will not be re-registered. Otherwise, the old instance will be overwritten by the new instance.
Parameters:
| Name | Type | Description |
|---|---|---|
name |
string | Symbol | The name for the instance within the namespace. |
instance |
* | Any initialized object. |
init |
boolean | Whether or not to try and instantiate a new instance
while registering. Default: true |
Returns:
- Type
- Namespace


Home
About
Projects
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Resume
Home
About
Projects
Contact
Resume
Evan DePosit
Software Developer


@(user: models.User)(qList: java.util.List[models.Question]) @* Question Listing page -- lists all questions and provides links with common actions, as well as saving new order *@ @import helpers.FormatHelper.SecToMMSS @stylesheets = { } @javascripts = { } @main("Admin Dashboard: Question Management - Careers From Here")(stylesheets)(javascripts)(user) { @helper.form(action = routes.AdminController.reorderQuestions()) { @* Add CSRF *@ }


Data Scientist - New York, NY
Job Title:
Data Scientist
Job Description:
Team Write-Up
360i Advanced Analytics is about taking complex data to devise elegant yet simple, actionable solutions to our clients' business questions. Our clients see us as trusted advisors and depend on our subject matter expertise to drive enhanced decision making via our deep (and constantly evolving) marketing analytics capabilities.
For this role, we are looking for someone who is deeply interested in the application of advanced statistic and econometric methodologies in both theory and practice. Candidates should be intellectually curious with a passion for learning while simultaneously a pragmatic self-starter who sees projects through to completion.
Data Scientist
Responsibilities
- Operate 'in-the-weeds' on client analytics engagements, executing the below within Python or R:
- Cleanse, compile and process data
- Executing statistical/econometric frameworks in either
- Under direction of Manager/AD, develop custom analytical tools for ongoing media optimization
- Participate in stakeholder interview process for each project to frame analytics solutions through appropriate lens
- Assist in discovery of new analytics methodologies, outline roadmap for tool development, and execute tool build
- Interface directly with media team and client (when applicable) on interpretation of analytics outputs and how to implement results
Qualifications & Requirements:
- Bachelors Degree in a quantitative field
- Understanding of econometric and statistical frameworks, including but not limited to:
- Multivariate linear regression, logistic regression, Bayesian networks, clustering, etc.
- 1-2 years working experience in analytics or other consultancy
- Possess the ability to receive direction, take ownership, and operate independently to solve to client requests using a combination of critical thinking and initiative
- Strong interpersonal skills or the demonstrated desire to develop client management ability
- Experience with marketing response models and their applications a plus
- Functional working knowledge of R and/or Python (e.g., can process data and run statistical analyses)
- Expert in Excel and PowerPoint
Location:
New York
Brand:
360I
Time Type:
Full time
Contract Type:
Permanent


I'm not too sure on how to word my reviews, reflections, impressions and overall thoughts on this so
this is most likely just gonna come out as a stream of thoughts so if it feels/seems disconjointed
then I'm sorry. I'm also not the best at spelling in english so just keep that in mind too. I can
assure you that my code is much tidier ;)
With that out of the way lets begin with my thoughts on
Shereef's Fireside Chat.
I feel like what Shereef describes the DBC course as a very
student-friendly course. He makes sure to take time out to talk to all students and try and cover
all bases while keeping the talk realistic and letting the students know that it may not be easy
for them, maybe someone might be ahead of you, maybe someone might be behind you, which I really
appreciate. He also gives good adviced and tips that he uses to all the students. He uses good
analogies to translate what it feels like being in a DBC class. I feel the same kind of energy,
environment and working ethics from the EDA group and it comforts me a lot.
I enjoyed learning the roots of the idea of DBC and hearing why Shereef first taught someone coding
and how things have changed and evolved and how he's adapted the course around that and how he devoted
everything towards the idea of DBC.
I'm personally excited to be a part of this community more so than the teachers have made me feel like
I already am. I feel nervous just because I feel like when I get to a classroom with other students I
may worry that I am underperforming compared to my peers.
11th of September 2018


|
barelog
0.1
|
#include <barelog_device_mem_manager.h>
Data Fields | |
| uint8_t | initialized |
| uint32_t | core |
| barelog_mem_space_t | mem_space |
| barelog_event_buffer_t | events |
| barelog_shared_mem_buffer_t | shr_events |
| barelog_policy_t | buffer_policy |
| barelog_policy_t | memory_policy |
| int8_t(* | read )(const void *address, size_t size, void *buffer) |
| int8_t(* | write )(void *address, size_t size, const void *buffer) |
| void * | debug_address |
Structure used to hold all of the barelog device manager functions. We use pointers to allow the user to use the functions of their choice, depending on the logged platform.
Definition at line 52 of file barelog_device_mem_manager.h.
| int8_t(* barelog_device_mem_manager_t::read) (const void *address, size_t size, void *buffer) |
Function used by the target to read into the shared memory.
| address | the address to read. |
| size | the size of the memory to read. |
| buffer | the buffer in which to store the reading result. |
Definition at line 73 of file barelog_device_mem_manager.h.
| int8_t(* barelog_device_mem_manager_t::write) (void *address, size_t size, const void *buffer) |
Function used by the target to write into the shared memory.
| address | the address to write. |
| size | the size of the memory to write. |
| buffer | the buffer from which to write the reading result. |
Definition at line 80 of file barelog_device_mem_manager.h.


*Note: Use our pagination events example for even greater control of the beginning and end of pagination points.
Previous Page
Next Page


QDBusVirtualObject Class
The QDBusVirtualObject class is used to handle several DBus paths with one class. More...
| Header: | #include <QDBusVirtualObject> |
| qmake: | QT += dbus |
| Since: | Qt 5.1 |
| Inherits: | QObject |
Public Functions
| QDBusVirtualObject(QObject *parent = Q_NULLPTR) | |
| virtual | ~QDBusVirtualObject() |
| virtual bool | handleMessage(const QDBusMessage &message, const QDBusConnection &connection) = 0 |
| virtual QString | introspect(const QString &path) const = 0 |
- 32 public functions inherited from QObject
Additional Inherited Members
- 1 property inherited from QObject
- 1 public slot inherited from QObject
- 2 signals inherited from QObject
- 1 public variable inherited from QObject
- 10 static public members inherited from QObject
- 9 protected functions inherited from QObject
- 2 protected variables inherited from QObject
Detailed Description
The QDBusVirtualObject class is used to handle several DBus paths with one class.
Member Function Documentation
QDBusVirtualObject::QDBusVirtualObject(QObject *parent = Q_NULLPTR)
Constructs a QDBusVirtualObject with parent.
[virtual]
QDBusVirtualObject::~QDBusVirtualObject()
Destroys the object, deleting all of its child objects.
[pure virtual]
bool QDBusVirtualObject::handleMessage(const QDBusMessage &message, const QDBusConnection &connection)
This function needs to handle all messages to the path of the virtual object, when the SubPath option is specified. The service, path, interface and methos are all part of the message. Parameter connection is the connection handle. Must return true
when the message is handled, otherwise false
(will generate dbus error message).
[pure virtual]
QString QDBusVirtualObject::introspect(const QString &path) const
This function needs to handle the introspection of the virtual object on path. It must return xml of the form:
<interface name="org.qtproject.QtDBus.MyObject" > <property access="readwrite" type="i" name="prop1" /> </interface>
If you pass the SubPath option, this introspection has to include all child nodes. Otherwise QDBus handles the introspection of the child nodes.


{% extends "layout.html" %} {% block head %}
We do not collect any personal information. Period.
Here is what we collect when you sign up for this slack app:


Short but intense music showcase performed by K. Wölf in our studio room in Ansião. I recorded the sound and video, and did some visual edits, hope you enjoy this piece.
Just published the first chapter of my PhD on remote fossil site detection using satellite images and unsupervised learning in PeerJ.
d’Oliveira Coelho J, Anemone RL, Carvalho S. 2021. Unsupervised learning of satellite images enhances discovery of late Miocene fossil sites in the Urema Rift, Gorongosa, Mozambique. PeerJ 9:e11573 https://doi.org/10.7717/peerj.11573
The paper starts by exploring the spatial and temporal gaps of the primate & hominid fossil record of Africa in the late Miocene. The Gorongosa National Park in Mozambique is shown to be a strategic location, with great potential to fill some major gaps in paleoanthropology.
We also discuss the difficulties of surveying for new paleontological localities, specially within modern forests/woodlands as in Gorongosa, since dense vegetation cover reduces visibility (i.e. finding clues in topography and landscape).
To increase the chances of a successful discovery of fossil sites, we introduced an algorithmic pipeline. 1) Download Landsat 8 satellite image ➜ 2) crop image to study area ➜ 3) clustering algorithm ➜ 4) binarize clusters and calculate variable importance using randomForest
4 new fossil sites were discovered in Gorongosa National Park using this approach. Overall accuracy of the binarized k-means clusters was ~ 85%. This indicates the high potential of our remote sensing pipeline for exploratory paleontological surveys.
Relative importance of spectral bands for clustering was determined using the randomForest algorithm, and near-infrared was the most important variable for fossil site detection, followed by other infrared bands. The visible spectrum did a poor job as an indicator of fossil sites.
This tool can be used for locating new fossil sites. In Gorongosa, the discovery of the first estuarine coastal forests of the East African Rift System (EARS) fills an important paleobiogeographic gap of Africa. The new sites will be key for testing hypotheses of primate evolution in such settings.
Abstract
Background
Paleoanthropological research focus still devotes most resources to areas generally known to be fossil rich instead of a strategy that first maps and identifies possible fossil sites in a given region. This leads to the paradoxical task of planning paleontological campaigns without knowing the true extent and likely potential of each fossil site and, hence, how to optimize the investment of time and resources. Yet to answer key questions in hominin evolution, paleoanthropologists must engage in fieldwork that targets substantial temporal and geographical gaps in the fossil record. How can the risk of potentially unsuccessful surveys be minimized, while maximizing the potential for successful surveys?
Methods
Here we present a simple and effective solution for finding fossil sites based on clustering by unsupervised learning of satellite images with the k-means algorithm and pioneer its testing in the Urema Rift, the southern termination of the East African Rift System (EARS). We focus on a relatively unknown time period critical for understanding African apes and early hominin evolution, the early part of the late Miocene, in an overlooked area of southeastern Africa, in Gorongosa National Park, Mozambique. This clustering approach highlighted priority targets for prospecting that represented only 4.49% of the total area analysed.
Results
Applying this method, four new fossil sites were discovered in the area, and results show an 85% accuracy in a binary classification. This indicates the high potential of a remote sensing tool for exploratory paleontological surveys by enhancing the discovery of productive fossiliferous deposits. The relative importance of spectral bands for clustering was also determined using the random forest algorithm, and near-infrared was the most important variable for fossil site detection, followed by other infrared variables. Bands in the visible spectrum performed the worst and are not likely indicators of fossil sites.
Discussion
We show that unsupervised learning is a useful tool for locating new fossil sites in relatively unexplored regions. Additionally, it can be used to target specific gaps in the fossil record and to increase the sample of fossil sites. In Gorongosa, the discovery of the first estuarine coastal forests of the EARS fills an important paleobiogeographic gap of Africa. These new sites will be key for testing hypotheses of primate evolution in such environmental settings.
A semi-homonym, has been writing some short poems while listening to albums on youtube, João Pedro Valente relinquishes them in the platform as comments. But now, I’ll be collecting them here. Hope you find them entertaining.
All of me, in 23 pairs of chromosomes,
trained non stop in a Tibetan academy,
there were infinite red light districts there
and even Joel Schumacher and Jim visited.
Ask Burroughs. I saw him there as well, twice…. or three times.
In fact he said this weird thing to me:
“In W 2 vertices go down. Have you ever considered how many go up?”
In Dublin there is a cyberpub where they still say www out loud,
And how many times was the emperor stabbed?
David Hilbert got 23 problems but The Players ain’t one.
What I did not tell you earlier,
(and now you might think I’ve been playing with you)
is that there were two pieces to this puzzle. Another hint:
it all starts with the 23rd letter of the alphabet.
Nichts ist so wie es scheint.
Don’t believe me? Check it.
Been hacking through life like Karl Koch
but it’s all apophenia and Gorge Box
never actually said that all models are wrong
but some are useful. What he said was longer
and not marketable. Oh well. For starters
you should be more interested in Cox’s
proportional hazards models Skidoo.
Incrível e crível,
Não passa no crivo: mel.
Mal fosse. Cravos, mil
moles conto. Mulas cravo.
Escravos libertam-se - “Elabora!”
Silabas voam agora e libélulas
são moleiros em rios de criogenia,
dissimulados em cais de rias.
Simulado o “eu” que escreveria,
Mas cai nas escadarias.
methodological undetermination is
listening attentively to Coelacanths
as if they did not have any sort of cognitive bias,
morphometric description of their fins
while neglecting all data that does not conform means
gambler’s illusion meets Procrustes’ superimpositions
leaving us in ether with just one question…
does it really matter if oarfish are over ten meters?
Or rather
can we really measure what we call matter?
revue systématique && méta-analyse
dans le spirale d’Amour qui pèse sur moi
avec beaucoup d’échelles différentes
top-down && bottom-up
Messe Caline || mescaline
dioxyde de carbone ambiant
au royaume des mutants
Navarra tive || narrativa
Songe de cristal,
é para bem ou mal
do Marante.
mauvais résultats « “(…) in more than one language will result in a stronger and more complete (…)” (Gurevitch & Nakagawa, 2015:204)
key word combinations » wild cards
vision nocturne == !(prononcer “tarsier” comme un anglais)
What a mess,
Call? All in.
Observo o obverso (de novo…) ergo o ego.
Enquanto desço escadas de Jacob, mas só de trás para a frente
e verso, enfrento o verso
a caminho de Jericho. A ver se é frente a frente
como o The Eagle and Child e o Lamb & Flag
enquanto reparo nisto, ainda me atropelam.
Topa le trop tropa tipo el Victor Torpedo
a acordar estes carneiros para o Menino do Lapedo,
só com meia-dúzia de acordes
como é que me acordam do pesadelo?
Só viro vegetariano quando a dieta for trevos
mutantes, de 4.2 folhas “- Como?” - em média - “Comédia”.
Queria estimar o erro residual, mas o N < 13, impede-mo.
Je voudrais me souvenir de toi
mas foi de passagem como pássaros
a serem orquestrados por Sadao Watanabe.
Sadio, só que sóbrio e só com saudade, bate a nave
contra Enceladus de Saturno… - “que wannabe!”
Grita o Sol maior quando nota. Harmónica, mas eu respondo
“Foi só um toque” à la folie, tocamos esta assim.
Trocamos estas línguas, e foste ceifar a lua minha.
(Sim, ela foi-se com a foice que me defenia).
E o luar que me defendia. Agora sou fera ferida
à espera que a esfera brilhe, mas está num eclipse
essa elipse que o espírito orbita.
Órbitas caem, após curvar na esquina.
“C’est la vie” Não. É a Via
Láctea.
Até que
ses parents,
se separam
tipo as duas curvas opostas dos
parêntesis.
Dispara em tecidos quentes
para enthèses
elle est contente, nessa conta tenta
ser essa condessa, mas a tenda tomba,
sobre a mesa, falta de gentileza,
nem me sobra…. essa sobremesa.
Diz? Pára. Sem ter sido um ente.
Feltro, velcro, veludo, e seda em sombras
onde sustento tentáculos
como um fulcro. Assim torcido e entorpecido, grito:
Luz é a mãe de todos os vultos.
Flutuo numa
onda de sustentáculos.
Apanhar-te na curva oposta
onde tu guinaste.
Tão tonta, tu tentaste.
Nem em dobras, tu vincaste.
Nunca vim gasto. Tu nem me vingaste.
Cá estou, vinho e casta. Amy
gastou vinho da casa. Amuou
mas eu vim dar-vos esta vindima.
Guindaste na avenida. Li que é altura
dum “ficaste por cima” na literatura.
O Prates roubava pires
e não queria ouvir berlindes.
ORLA is an etheral entity that emerged either within the depthness of blackholes or in the throat of Cthulhu eons ago.
Exactly 1 year ago, ORLA released an ambient sci-fi inspired project titled MASS, a cyclical exploratory journey through another universe. While mass increases, time does not exist: the journey never ends.
Protostar
White Dwarf
Pulsar
Strange Star
SmBH
Composition: João Pedro Amorim (as ORLA)
João Bica (as Crouga) took part in the creation of “Pulsar” and “Strange Star”
Editing: Otávio Crespo
Mix & Master: Z G A
I created the video-album version of this album (click above!) using only freely available material from the Public Domain.
Below, more tracks featuring ORLA:
-
You can buy his album on his BandCamp. Support your local artists!
A semi-homonym, has been writing some short poems while listening to albums on youtube, João Pedro Valente relinquishes them in the platform as comments. But now, I’ll be collecting them here. Hope you find them entertaining.
𒀭𒊹𒆕𒌉𒍑 was the name,
he walked beturbaned on clouds,
and I bet you’re banned from feeding
like pigeons
in urban mazes.
𒀭𒊹𒆕𒌉𒍑 was the name.
𒀭𒊹𒆕𒌉𒍑 had some angels
that worked for him. In Burbank,
Los Angeles, the pizza-full pigeons
feed on disturbance
with broken wings.
𒀭𒊹𒆕𒌉𒍑 had no angels.
Do not ever trust me.
𒀭𒊹𒆕𒌉𒍑 never visited, for sure,
Mount Aniakcha. But most people
never heard of the Bosniak classification
system of renal cystic masses.
Not that it matters.
𒀭𒊹𒆕𒌉𒍑 tomb is a pigeon-shaped labyrinth.
𒀭𒊹𒆕𒌉𒍑 had a good childhood,
he played with triakis icosahedrons
all the time. Today someone discovers
Urbaniak, UrbSymphony and
Urbanator. A dolt.
𒀭𒊹𒆕𒌉𒍑 was born an adult.
There are no pigeons in the skies of Nepal.
Datura thrive throughout the globe
(and drives relentlessly through your lobes)
in tropical and temperate climates,
(tristes trópiques et l’os temporal, échec et mat)
sometimes even in the strangest conditions
(soma tomar-se-ia com dicções estrangeiras)
such as growing near landfills and roadsides
(quería amantes, no adeptos, así era Lorca)
Se a cura é deitar-me nos campos
onde chovem pétalas de sakura,
acampo aí até que tsunamis convirjam em ondas
sónicas com virgens
se a cura é levantar-me do chão
salpicado por tons rosa de sakura,
mede chai, canela, picantes vários e sal picado
em medo que evapora
e deixai-me.
Tundra carbon arpeggios melt covered in the fire of slavic dragons, thought to be extinct.
Baba Yaga silently observes while the defrosted grass turns into ethereal mouth harps.
Zebras correm sobre teclas de marfim,
se é para que orem sobre azul do mar sem fim,
que o ouro pouco importa entre bemóis
e o outro susteve-se em sustenidos e búzios
há espera que ecoassem sóis doutras galáxias.
Enrolar-nos-íamos entre os dedos de Erroll Garner
tal acácias, ácidas, livres de roldanas e parafusos
que agora pouco importa. Entra, vê mais.
Come to me my love,
scissors / glue
desenterrar-te-ia as palavras, dez
enterradas em teias pelas larvas,
para que bronzeassem de novo ao sol
para que piriquitos dessem sombra às ondas
para que o lo-fi não esculpisse paraquat apenas
e no bater d’asas caíssem penas
numa distribuição de Bernoulli anseio que (num ânimo maior)
butterfly wings should not be a symbol for chaos (anymore)
Les absents ont toujours tort
Com absinto até te juro que torto
Fico.
Loin des yeux, loin du cœur
Acção, movo flores e decoro
Parto.
Parto deu-se, partindo findo
Toutes les bonnes choses ont une fin.
Uma chaleira orbita o Sol entre Júpiter e Ceres,
prova-me que estou errado… É.
Informação ao núcleo, tu nunca evitas seres,
e o cosmos que evitas ser… És.
Estou a ver se evito sê-lo der por onde der,
só que nunca evito selos, é uma sede de ceder,
cego e passado acumulo um monte de dor: FERE.
Segue-me nas passadas ao cume se és, éS footwear.
Abanca que é Santander, branca a carta confere,
chego a ver um santo arder, chagas são pinhole para te ver…
Ampliado.
Ego abre a sutura sagital… chapéu.
Vergo a verga a quem perdeu… himénio.
Ela recebe prendas porque é a tal… anel.
Sinto que estive nas estepes com o meu… estipe.
De volta à vulva na traseira dum Volvo… volva.
Devolvo o meu céu ali a todos… micélio.
this reminds me that sometimes we should
not interact with the δ-opioid receptors at all
but would a tall cyclops cover his mouth when he says:
“human proteins, in radioligand binding assays”
?


What's up internet? My name is Phoenix Gibson. I am a Nova Scotia Duck Tolling Retriever and I live in toronto with my Dad Arron and my Mom Kelley.
That's pretty much all i want to say so here's some random word i like. Bird Food Snowball Fido pet supplies stick throw furry.   Tail cage vitamins Fido water aquatic mouse catch Tigger vitamins hamster water brush run. Puppy Snowball stick drool cage swimming feathers grooming mouse Tigger meow field.


home
services
blog
portfolio
about
contact
MEET THE TEAM
fredrick biel
DESIGNER
coleman ray
SENIOR DESIGNER
katarina bries
SENIOR DESIGNER
augustus rivers
DESIGNER


Apps to Services
Update the talk for this is now viewable on YouTube here
When I first came across Django I was an immediate fan. It featured:
- Good documentation
- Steady but stable progress
- Community around apps which encouraged DRY
I’ve been a user off and on depending on my needs for nearly four years since discovering it, and throughout that time all of the above have remained true. However, as I’ve worked on and encountered more complex applications there’s one thing that has time and again broke down for me, which is the Django apps model. It hasn’t broken down due to Django only though, I’ve seen it break down in Ruby (Rails), Java, .Net, take you’re pick of language or framework.
The breakdown of this model is due to several things:
- Successful applications grow which mean more complex applications and more developers
- More complex applications often mean larger code bases
- Deprecating code is good, but not always easy in large code bases
- More code means more testing, but slower releases
At Heroku one way we often describe the platform to others is “A distributed Unix in the cloud.” There may be many reasons for this, but one of which is that we love the Unix approach and philosophy of Small sharp tools. Sticking to that, many of our internal pieces are small individual apps that talk across defined contracts or APIs.
Back to Django’s app structure… Many people build apps and re-use them and often share them with the world. This is truly great for re-usability, which means you can focus on building key features. However, this does not enable your application to be more maintainable in the future nor does it enable scalability. Yes, you can absolutely scale a monolithic application, but it doesn’t mean you should. This doesn’t mean the app structure is entirely broken, it just means that it is a partial step to where you should be. The real solution is to build more of these pieces of your greater application as services.
A Django app is defined as A web application that does something. I.e. Weblog, Poll, Ticket system. Within Django an app contains:
- Models
- Views
- URLs
I couldn’t find a great definition of a Service that was succinct and also said something of value (If you have one please pass along as I’d love to have a definition from a source other than myself). For the sake setting something in place I’m defining a service as Method of communication over the web with a provider using a defined contract. By this definition a service contains:
- Provider
- Endpoint
- Contract
Let me clarify this a bit further…
Tangible example/parable:
Django Apps::
- Ticket
- FAQ
Company Teams::
- Support
- Community Evangelist
You start with two apps, that maybe share a little code. Moreover they at least exist in a central code base. Then you deploy something and the Ticket app can no longer create FAQ, due to a change in one or the other. There’s no finger to point, but more importantly, you don’t know how to contact to resolve. Neither team wants to deploy, so you test more.  But as you get to 5 teams it does, and more so with 15, and more so with 30 teams. Then you hire a build master and release master, who really wants that?
So within Django maybe you go from apps all in the same codebase to releasing private versions of apps…
Your requirements.txt for a main site looks like:
1
|
|
You have 3 apps which depend on it, support, marketing, billing. You bump a version FAQ==0.3
but then all three or no teams have to upgrade the version to the new APIs. However if your interface was:
1 2 3 4 5 |
|
You could also have:
1 2 3 4 5 6 |
|
Then you can easily support both, deprecate v1, and track its usage easily. This doesn’t guarantee, but it does enable re-usability, scalability, maintainability. And of course continues to let you build features instead of maintaining software.
In the next post I’ll go into a bit more detail of how a real example looks with apps in both forms, using a set of Django Apps and using a set of Services built on Django Apps.
Slides from a corresponding talk at DjangoCong are here


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Read MoreHSBC’s global survey ‘Navigator: Now, next and how for business’, covering 6000 companies in 26 markets, has found that firms in India are most concerned about rising protectionism across the world. he survey data shows that almost nine in 10 businesses in India feel that governments are
Read MoreMohammed Fathy, General Manager of Dubai-based tax consultancy Al Dhaheri Jones & Clark, explains its long-term effect on the region’s sectors and GDP percentage which will impact the future revenues of companies,” says CEO Sandeep Sugla
Read MoreMohammed Fathy, General Manager of Dubai-based tax consultancy Al Dhaheri Jones & Clark, explains its long-term effect on the region’s sectors and GDP percentage which will impact the future revenues of companies,” says CEO Sandeep Sugla
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For this project you can collaborate with fellow students and you can hand in a common report. This project (together with projects 3 and 4) counts 1/3 of the final mark.
Large scale, time-dependent motion in the atmosphere and ocean is often conceptualized in terms of Rossby waves, which have scales of hundreds to thousands of kilometers. The waves are used, for example, to understand the meandering of the atmospheric Jet Stream and the adjustment of the ocean to changes in wind forcing. Rossby waves exist because of the Coriolis acceleration, which acts perpendicular to the velocity of a fluid parcel. The Coriolis acceleration varies with latitude, being negative in the Southern Hemisphere and positive in the Northern (and vanishes at the equator). As a result of this variation, fluid parcels experience a change in their spin or vorticity if they move to different latitudes.
We will use the shorthand notations $$ \partial_t = \frac{\partial }{\partial t}, $$ $$ \partial_x = \frac{\partial }{\partial x} $$ $$ \partial_{xx} = \frac{\partial^2 }{\partial x^2} $$ etc.
The equation governing the vorticity is: $$ \begin{equation} \label{eq:Rossby1} \partial_t \zeta + \beta \partial_x\psi = 0. \end{equation} $$ where \( \zeta \) is the vorticity and \( \psi \) is the streamfunction, which determines the velocities: $$ \begin{equation} u = -\partial_y \psi \quad,\quad v = \partial_x \psi, \label{_auto1} \end{equation} $$ Here \( u \) is the velocity component in the east-west direction (\( x \)) and \( v \) in the north-south direction (\( y \)). The vorticity is defined: $$ \begin{equation} \label{eq:Rossby2} \zeta = \partial_x v -\partial_y u = \nabla_H^2 \psi. \end{equation} $$ Thus the vorticity is the Laplacian of the streamfunction.
Then there is the Coriolis parameter, defined as: $$ \begin{equation} f = 2 \Omega \sin{(\theta)} \label{_auto2} \end{equation} $$ where \( \theta \) is the latitude and \( \Omega \) is the rotation rate of the Earth, \( \Omega=2 \pi/day \). We often approximate \( f \) as a linear function, centered on a latitude \( \theta_0 \): $$ \begin{equation} f \approx f_0 + \beta y \label{_auto3} \end{equation} $$ where \( f_0 = 2 \Omega \sin{(\theta_0)} \), \( \beta = 2 \Omega \cos{(\theta_0)}/R_e \) and \( y = R_e (\theta - \theta_0) \), if \( R_e \) is the Earth's radius. This linear representation is called the \( \beta \)-plane approximation, and accounts for the \( \beta \) term in \eqref{eq:Rossby1}.
Thus the vorticity equation can be written in terms of one variable, the streamfunction, thus: $$ \begin{equation} \label{eq:Rossby} \boxed{\partial_t \nabla_H^2 \psi + \beta \partial_x\psi = 0.} \end{equation} $$ This is the barotropic Rossby wave equation.
We will examine analytic and numerical solutions to the vorticity equation in a periodic domain and a closed domain. A periodic domain is one that "wraps around", like the atmosphere. A closed domain has walls, like the continents bounding the oceans.
Consider the vorticity equation \eqref{eq:Rossby} in one dimension (we'll add the second dimension later). Say the periodic domain extends from \( x=[0,L] \) (east-west). A suitable wave solution has the form: $$ \begin{equation} \label{eq:Rossby5} \psi = A \cos{(\frac{2n\pi x}{L} - \omega t)}, \end{equation} $$ where \( n \) is an integer (\( =1,2,\cdots \)), and where \( \omega \) is the wave frequency and \( A \) is the amplitude.
Show that the solution is the same at the two boundaries, so that it satisfies the periodic boundary conditions. Then use this wave solution in equation \eqref{eq:Rossby} and solve for \( \omega \). Use the one-dimensional form for the vorticity: $$ \begin{equation} \label{eq:Rossby6} \zeta = \partial_x v = \partial_{xx} \psi \end{equation} $$ The result is known as the wave dispersion relation.
The phase speed is the speed at which the Rossby waves move. To see how this comes about, consider the phase of the wave: $$ \begin{equation} \label{eq:Rossby7} \theta = \frac{n\pi x}{L} - \omega t. \end{equation} $$ For instance, if \( \theta=2\pi \), then \( \psi = A\cos{(2\pi)} = A \). This is a maximum or "high pressure" point. To see how this moves, we solve \eqref{eq:Rossby7} for \( x \): $$ \begin{equation} x = \frac{\theta L}{2n\pi} + \frac{\omega tL}{2n\pi}. \label{_auto4} \end{equation} $$ Taking a time derivative, we obtain $$ \begin{equation} c = \frac{dx}{dt} = \frac{\omega L}{2n\pi} \label{_auto5} \end{equation} $$
Calculate the phase speed for the Rossby wave, using the dispersion relation. Which direction is the wave moving?
More appropriate boundary conditions for the ocean are no flow at the two end points. In the present problem, we can enforce this with simple Dirichlet conditions: \( \psi=0 \) at \( x=0 \) and \( x=L \). Use a wave solution with the form: $$ \begin{equation} \psi = A(x)\cos{(kx - \omega t)}, \label{_auto6} \end{equation} $$ where \( k \) is the wavenumber. Substitute this into equation \eqref{eq:Rossby}. You'll obtain terms multiplied by \( \sin{(kx - \omega t)} \) and others multiplied by \( \sin{(kx - \omega t)} \). Set each of these expressions to zero. One will give you the dispersion relation for the waves. The other will give you the form for \( A(x) \), which must satisfy the boundary conditions. You see that \( k \) will be quantized: only specific values will be allowed.
Waves like these are known as Rossby "basin modes". The phase speed can be calculated as in the preceding problem. What is it? Discuss the structure of the wave (which is unusual).
To discretize the equations, we assume a grid of equally-spaced points: $$ \begin{equation} x_j = j\Delta x \label{_auto7} \end{equation} $$ where \( \Delta x \) is the grid spacing. We discretize time in a similar way: $$ \begin{equation} t^n = n\Delta t \label{_auto8} \end{equation} $$ where \( \Delta t \) is the time step. Thus \( t^0=0 \), \( t^1=\Delta t \), and so on.
We then approximate the derivatives by finite differences. For the spatial derivatives, we use centered-differences: $$ \begin{align} \partial_x\psi &\approx \frac{\psi_{j+1}^{n} - \psi_{j-1}^{n}}{2\Delta x}, \label{_auto9}\\ \partial_{xx}\psi &\approx \frac{\psi_{j+1}^{n} - 2\psi_{j}^{n} + \psi_{j-1}^{n}}{\Delta x^2}, \label{_auto10} \end{align} $$ For the time stepping, we will test two methods. One involves a forward difference: $$ \begin{equation} \label{eq:Rossby3} \partial_t\psi \approx \frac{\psi_{j}^{n+1} - \psi_{j}^{n}}{\Delta t} , \end{equation} $$ while the second involves a centered difference: $$ \begin{align} \label{eq:Rossby4} \partial_t\psi &\approx \frac{\psi_{j}^{n+1} - \psi_{j}^{n-1}}{2\Delta t}. \end{align} $$
Now we will examine numerical solutions in one dimension in the east-west direction. When calculating these, it is convenient to use non-dimensional forms of the equations: $$ \begin{align} \partial_t\zeta + \partial_x\psi &= 0. \label{_auto11}\\ \partial_{xx}\psi &= \zeta. \label{_auto12} \end{align} $$ These are obtained by scaling each term by typical values. Doing this, the domain extends from \( x=0 \) to \( x=1 \), which is much simpler than worrying about realistic sizes. For the latter equation you can use your code from project 1.
For the boundary conditions, we'll consider both the periodic domain (that wraps around) and the bounded domain (with solid walls). For the bounded domain, the streamfunction is zero at the ends, while for the periodic one the boundary values can vary.
Write the algorithms for the two time-stepping methods and the equations you need to implement for the one-dimensional case, including the numerical analogues of the boundary conditions.
Determine the truncation errors of the two time-stepping schemes and investigate their stability properties. What do you conclude about the two schemes? What is the stability criterion for the stable algorithm.
Compare the time-stepping routines, using the sine wave in the periodic domain. Use \( \Delta x=1/40 \) and \( \Delta t \) as determined from the results of (5d). Store the results at three times, in addition to the initial condition, e.g. \( t=0 \), \( t=50 \), \( t=100 \) and \( t=150 \). Is one of the time-stepping routines better than the other?
Now we'll examine a suite of solutions, using the stable time-stepping algorithm. Consider the following:
a) Calculate the phase speed of the sine wave in the periodic domain. Do this by using a Hovmuller diagram. For this you construct a matrix with \( \psi(x,t) \) at different times. \( t=0 \) can be on the bottom row, then \( t=\Delta t \) in the next row, \( t=2\Delta t \) in the next and so. Contour the matrix and extract the phase speed. How does it compare to the theoretical prediction in (5a)?
b) Now consider the sine wave in the bounded domain. How does this evolve differently? Rationalize the results using the theoretical prediction from (5b).
c) Now examine the Gaussian, in the periodic domain. How does the Hovmuller diagram differ? Can you find a phase speed? Try varying the width, \( \sigma \). How does this affect the phase speed.
d) Lastly, describe the evolution of the Gaussian in the bounded domain. How does this compare to the sine wave in the same domain?
Extend the code you have developed here to two dimensions, that is, \( \psi = \psi(x,y,t) \) and \( \zeta = \zeta(x,y,t) \). It means that we deal with a \( 2+1 \) dimensional problem. Our differential equations become $$ \begin{equation} \label{eq:Rossby10} \partial_t\zeta + \partial_x\psi = 0, \quad \textrm{$t > 0$ and} \quad x,y\in [0,1], \end{equation} $$ and $$ \begin{equation} \label{eq:Rossby11} \left( \partial_{xx}\psi + \partial_{yy}\psi \right) = \zeta, \quad \textrm{$t > 0$ and} \quad x,y\in [0,1], \end{equation} $$ where we now have made a model with a square lattice for \( x \) and \( y \). The last equation is just another example of Poisson's equation which can be solved by Jacobi's method, or the Gauss-Seidel method or the so-called Successive Over Relaxation method discussed in chapters 6 and 10 of the lecture notes.
How would you extend the boundary conditions from one dimension to two dimensions? And can you find a closed form solution here as well? It is left to you to decide upon what kind of boundary conditions you deem appropriate.
Use an explicit scheme for \eqref{eq:Rossby10}. To solve \eqref{eq:Rossby11} you need to use for example an iterative method like Jacobi's or Gauss-Seidel method or the Successive Over Relaxation (SOR) method. These methods are described in the lecture notes, see chapters 6 and 10.
Outline the algorithm for solving the two-dimensional equations and implement the scheme as function of \( \Delta x \) (assuming \( \Delta x = \Delta y \)) and \( \Delta t \). Solve the equations numerically and give a critical discussion of your results. Compare your results with the closed-form answer if possible. Discuss the stability of the solution as function of different values of \( \Delta x \) and \( \Delta t \).
A very good reference is the textbook by Winther and Tveito on partial differential equations. It is available online from the University library.
Here follows a brief recipe and recommendation on how to write a report for each project.
The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008 or Python. The following prescription should be followed when preparing the report:


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A site the alters its layout depending on the size of the browser window/screen. It's useful so that a screen of any kind can view the website without elements being the wrong size and therefore hindering usability.
Mobile first design is creating the website first to look good on smaller screens, and then scaling it up to also look good on larger screen. This is important because it is easier to shuffle good looking elements to fit a larger grid layout than it is to condense a grid layout into a single column view.
A CSS framework is a ready-built CSS document that should use good standards and should have many useful tools already implemented. This takes a lot of the work out of creating a new webpage, and helps in making a good webpage. The downside of this is that it requires reading of the framework's documentation (and it may take more effort to actually understand how to use the framework after that).
A wireframe is a plan for a webpage that shows how elements should be laid out. It makes it much easier to proportion elements of the webpage, and makes it easier to understand the layout.
My Desktop Index Wireframe
My Mobile Index Wireframe
My Desktop Blog Wireframe
My Mobile Blog Wireframe
I made the wireframes very simple so they were not difficult to implement. The hardest part was using the skeleton framework to set the column widths. I had to use the <row>
element to surround both the navigation and
content divs to set them to be next to each other. I think I might be doing something wrong there because it doesn't seem right.


Edit Education Details
{% include 'resumes/AllTemplates/navbar.html' %}
Edit Education Details
Edit Education Details
Brief Info:
education summary is the section on your resume where you list your degrees and relevant academic accomplishments. It can be either the least or the most important part of your resume.
You should tailor the education section of your resume to fit your circumstances, including whether or not you're still a student, and the nature of any academic achievements you've accrued. By including the right information
in the education section of your resume, you can impress your employer and secure an interview.


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A binary gap within a positive integer N is any maximal sequence of consecutive zeros that is surrounded by ones at both ends in the binary representation of N.
For example, number 9 has binary representation 1001 and contains a binary gap of length 2. The number 529 has binary representation<PHONE_NUMBER> and contains two binary gaps: one of length 4 and one of length 3. The number 20 has binary representation 10100 and contains one binary gap of length 1. The number 15 has binary representation 1111 and has no binary gaps.
Write a function:
def solution(N)
that, given a positive integer N, returns the length of its longest binary gap. The function should return 0 if N doesn't contain a binary gap.
For example, given N = 1041 the function should return 5, because N has binary representation<PHONE_NUMBER>1 and so its longest binary gap is of length 5.
Assume that:
- N is an integer within the range [1..2,147,483,647].
Complexity:
- expected worst-case time complexity is O(log(N));
- expected worst-case space complexity is O(1).


You can create a bug/issue by sending
an email to
<EMAIL_ADDRESS>Subject=issue summary
Body=description
Attachment will be copied to the ticket as well
Or click the link below to use the website to create an issue.
https://jira.inside.nokiasiemensnetworks.com/secure/RapidBoard.jspa?rapidView=166&view=detail&selectedIssue=MGW-104


src/recommender.py M 152:4 GraphDB.filter_versions - D (22) 1 blocks (classes, functions, methods) analyzed. Average complexity: D (22.0)


Heat Chad'z rating: **1/2 (out of 4 = OK) 1995, R, 171 minutes [2 hours, 51 minutes] [crime/thriller] Starring: Al Pacino (Detective Vincent Hanna), Robert De Niro (Neil McCauley), Val Kilmer (Chris Shiherlis), Jon Voight (Nate), produced by Art Linson, Michael Mann, written and directed by Michael Mann.
It's a shame "Heat" is not the fantastic crime movie you'd expect it to be.  But this is where the problem lies: the film is a bit too epic for its own good as it makes the common mistake of trying to do too many things at the same time.
The setting is present-day Los Angeles and the story starts off on in an interesting way as we see a group of well organized criminals rob an armored van, not for cash, but for stocks and bonds. But things never go according to plan in crime films and when one of the thieves slips up, the result is three unnecessary deaths.
Quick on the scene is Detective Vincent Hanna (Pacino), your typical movie 'tect who is able to piece together the scene and figure out what happened. Meanwhile, the criminals, as lead by Neil McCauley (De Niro) and Chris Shiherlis (Kilmer), are not happy with the situation which continues to go sour for them when the one who slipped up escapes. At this time the film delves deeper into the technical aspects of McCauley's mob and Hanna's investigation, but here is where the major flaws start to occur as the storytelling becomes much too technical (even a lover of the crime genre like me could not follow it entirely), and sub-plots involving the main characters' personal lives are emphasized much more than necessary.
Filmmakers often use confusion as a cop-out to make a story seem epic and more intelligent than it actually is. Mann's screenplay does this to some extent as we continue to follow Hanna and McCauley and learn about their plans, but it doesn't seem like anything is leading to anything else. And this is symbolic of the film overall - even though details abound, they don't seem to have much relevance because of a lack of a backstory. Everything always seems to be one step ahead of comprehension, and when you do catch up it doesn't seem to pay off.
Humanism is really the center of all crime movies, because without well-developed and interesting characters, it's hard to sympathize with them and become involved in the suspense. Pacino and De Niro both give good performances but their characters seem like they're just going through the motions. For example, Hanna and his wife and stepdaughter are experiencing a painful time in their relationship because he's so obsessed with his job he can't concentrate on anything else (almost the exact same situation occurs with Shiherlis and his family). Also, McCauley meets a woman whom he falls for immediately, but there isn't much chemistry nor much definition to their relationship. Do I have to tell you all of these sub-plots will become crucial elements at one time or another?
The central plot of the film has something to do with McCauley's efforts to steal bonds and find the man whose information might be used against him. However, this is really just a means of setting up a game of cat-and-mouse between Hanna and McCauley on a grand scale. In retrospect, it's interesting how common Hollywood elements like melodrama and action sequences come into play as they do.
Although the story often seems to be missing something, it still manages to be at least interesting throughout. Many individual scenes themselves are quite suspenseful and intelligent, especially one involving a conversation between Hanna and McCauley which works as a violent brawl of words and diction. The two know they are enemies but there is a subtle understanding that each finds the other to be the most challenging opponent they've ever faced. Yet each believes he is superior and warns the other not to get in his way.
Even if "Heat" fails in some ways as a realistic, detailed crime story (the ending proves this), it still works in other ways as a Hollywood thriller (the ending proves this). At times I was excited, other times I was bored, but throughout it all I could see a much better film hidden behind the collage that is this film.
Please visit Chad'z Movie Page @ http://members.aol.com/ChadPolenz - over 150 new and old films reviewed in depth, not just blind ratings and quick capsules. Also, check out The FIRST Shay Astar Web Page @ http://members.aol.com/ChadPolenz/ShayAstar.html
e-mail<EMAIL_ADDRESS>(C) 1997 ChadPolenz
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A polyalphabetic cipher is any cipher based on substitution, using multiple substitution alphabets .The encryption of the original text is done using the Vigenère square or Vigenère table. The table consists of the alphabets written out 26 times in different rows, each alphabet shifted cyclically to the left compared to the previous alphabet, corresponding to the 26 possible Caesar Ciphers. At different points in the encryption process, the cipher uses a different alphabet from one of the rows. The alphabet used at each point depends on a repeating keyword.


MR ZUMA BARLEY AUDITING AND ACCOUNTING DEPT, AFRICAN DEVELOPMENT BANK BENIN(ADB) COTONOU-BENIN REPUBLIC REPLY TO<EMAIL_ADDRESS>Compliments Of the Season, Pleasure writing to you at this moment of the day, I am Mr Zuma Barley, the director incharge of auditing and accounting Dept. of AFRICAN DEVELOPMENT BANK BENIN(ADB) in Cotonou,Benin Republic.I deem it fit to contact you regarding an inactive/dormant account fund that will benefit both of us at the end, if parties involved will take restrait and maintain absolute secrecy,honesty and intergrity. I got your contact in my search for a reputable and reliable person to particularly assist me to claim the fund in question. During auditing, in our bank at the end of last fiscal year, We discovered the sum of (US$28.1M) Twenty-eight million one hundred thousand United States dollars in a dormant account belonging to an international businessman based here in benin republic who was involved in the December 25th Benin plane crash. I kept this information(secret) confidential within my jurisdiction to enable us submit claims and transfer this fund through trustworthy person whom we shall present to our bank as the bonafide next of kin to the deceased. Please visit http://www.cnn.com/2003/WORLD/africa/12/26/benin.crash/index.html Our investigations so far clearly reveals that there is no immediate survivor or even a relation to the deceased and as such,there is no immediate next of kin for further claims of the deceased fund as we have long been expecting someone to come forward with an applications. Further informations /verifications from reliable sources too have confirmed that the deceased customer supposed next of kin were all in the plane with him died with him. This fund is now ready for transfer into a foreign account, whose owner will be portrayed to our bank as the beneficiary and a next of kin to the deceased customer. The foreign account owner will impost himself approprietly as the next of kin to the deceased and respond positively like a true next of kin who wishes to speed up the release and transfer process of his inherited fund.Kindly be aware too that if the over-due fund if not claimed by the end of next quarter, the National Treasury and Bills of Benin will take over the ownership of the fund in line with the National Edict Act of 1979. We do not want this to happen as it will not augur to our best interest, having worked all our lives in the banking sector, that is why I contacted you for us to do the deal together with absolute confidence, so that you will be portrayed as the bonafide beneficiary and an immediate next of kin to the deceased. I will give you further directives, advice and all needed informations required for this transaction as soon as I receive your positive response. Similarly,if you accept to carry out this transaction with us, we have resolved offering to you 30% of the total sum as commission, extra 10% of all proceeds to be generated from subsequent profit-viable investments projects and you will be compensated with an executive office in the project.The first-phase shall be a five (5) year irrevocable contractual business partnership. We will invest 50% of our shares into your firm if you already have one provided that is profit orientated. 5% of the total fund will be set aside to re-imburse all expenses incurred in this course of this transaction. This transfer will automatically be affected within 7 working days. Be rest assured that with the underground work i have laid so far,that this transaction carries no risk and no extra burdens on your part, except the above mentioned nominal roles you are required to fulfill and similarly will be required to maintain absolute information secrecy throughout the duration of this transaction,because discussing and exhibiting it with a third party might jeopardise the entire transaction. I will give you directives and all needed information as soon as I receive your positive response. Kindly understand that we could not carry out this fund-transfer on our own, based on the simple facts that we are civil servants and presently bank staffs and this office excludes us from operating foreign accounts,moreover,conducting such magnanimous transaction from the same place where we belong to/coming from will raise eyebrows on our side and the truth is that this fund belongs to a foreigner,and as such demands same as next of kin. I am looking forward to receiving your interesting response on this project as this will greatly enrich the both of us at the end. Best Regards, MR ZUMA BARLEY CALL ME: 00229-97-87-27-83 FOR MORE PROOFS AND DETAILS


While there are many versions of Bubble-Burst, no one (including Wikipedia) seems to know who invented it the game itself. However, it is derived from another popular game called Bust-A-Move, which belongs to the genre of 3-Match Games where one must put like things together to get rid of them and progress.
We are a team of students at Epicodus Coding Bootcamp. Our names are Anna Kuznetsova, Anna Timofeyeva, Michael Dunlap, and Mick Sexton.
You can view our GitHub repo here: https://github.com/PioneerX1/bubble-burst


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[1]
Speed, keyboard, voice quality, Blackberry Chat!!!!,; Browser, App World is still small
[2]
A mini laptop in your hand; I have not found any flaws with this blackberry.


{% extends 'base.html' %} {% load static %} {%block style%}
Test Covid
Near Penginapan
Kemudahan Reservasi
Promo Special


about my girlfriend olayiwola olawunmi taofeekat
- she lied 🥺
not only lied
- she cheates🥺
not only cheats
- she pretends🥺
not only pretends
- she's not romantic🥺
not only that
- she got many concubines🥺
if this are the only problem it would have been better but
🥺🥺🥺
she act innocent innocent that she never does anything 😭😭😭😭😭😭😭😭
SKYLORD
1


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hide private
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[
frames
] |
no frames
]
[
Module Hierarchy
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Class Hierarchy
]
Class Hierarchy
suds.plugin.Plugin
:
Plugin base.
suds.plugin.MessagePlugin
:
The base class for suds
SOAP message
plugins.
fedex.base_service.GeneralSudsPlugin
object
:
The most base type
exceptions.BaseException
:
Common base class for all exceptions
exceptions.Exception
:
Common base class for all non-exit exceptions.
fedex.base_service.FedexBaseServiceException
:
Exception: Serves as the base exception that other service-related exception objects are sub-classed from.
fedex.base_service.FedexError
:
Exception: These are generally problems with the client-provided data.
fedex.services.package_movement.FedexInvalidPostalCodeFormat
:
Exception: Sent when the postal code is invalid
fedex.services.track_service.FedexInvalidTrackingNumber
:
Exception: Sent when a bad tracking number is provided.
fedex.services.package_movement.FedexPostalCodeNotFound
:
Exception: Sent when the postalcode is missing.
fedex.base_service.FedexFailure
:
Exception: The request could not be handled at this time.
fedex.base_service.SchemaValidationError
:
Exception: There is probably a problem in the data you provided.
fedex.printers.unix.DirectDevicePrinter
:
This class pipes the label data directly through a /dev/* entry.
fedex.base_service.FedexBaseService
:
This class is the master class for all Fedex request objects.
fedex.services.address_validation_service.FedexAddressValidationRequest
:
This class allows you validate anywhere from one to a hundred addresses in one go.
fedex.services.availability_commitment_service.FedexAvailabilityCommitmentRequest
:
This class allows you validate service availability
fedex.services.ship_service.FedexDeleteShipmentRequest
:
This class allows you to delete a shipment, given a tracking number.
fedex.services.ship_service.FedexProcessShipmentRequest
:
This class allows you to process (create) a new FedEx shipment.
fedex.services.rate_service.FedexRateServiceRequest
:
This class allows you to get the shipping charges for a particular address.
fedex.services.location_service.FedexSearchLocationRequest
:
This class allows you to figure out a FedEx location closest to a specified location criteria, based on location type.
fedex.services.track_service.FedexTrackRequest
:
This class allows you to track shipments by providing a tracking number or other identifying features.
fedex.services.country_service.FedexValidatePostalRequest
:
This class allows you validate an address.
fedex.services.package_movement.PostalCodeInquiryRequest
:
The postal code inquiry enables customers to validate postal codes and service commitments.
fedex.config.FedexConfig
:
Base configuration class that is used for the different Fedex SOAP calls.
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Details of Persuasive Legal Writing: Choosing “And” or “But”
Oct 12 2011In the midst of writing a bench memo, I wrote the following sentence (which I have since completely changed) and struggled about whether I should use “and” or ”but”:
“In Sum, the issue before the Ninth Circuit was whether the petitioner, who was admitted into the United States at a point of entry as a lawful permanent resident and was only admitted as such because he misrepresented his status, was eligible to apply for a § 212(h) waiver.”
It occurred to me that I often have a debate with myself over the proper use of and/but. There are clear times when “and” is more appropriate, (but/and) there are clear times with “but” is more appropriate. When either one might work, it seems like my default is to use “but” without much thinking. But this choice deserves more attention because these words subtly communicate inclusion and exclusion.
“And” and “but” are conjunctions, meaning they link two clauses of a single sentence. Using “but” in some way negates or undermines the preceding clause in favor of the succeeding one. By contrast, “and” tends to convey the existence of both clauses together.
When I chose to use “and” in the above sentence, I did so because the Court ultimately concluded that the petitioner was “admitted” as defined by the statute despite the fact that the admission was substantively unlawful (as he has misrepresented his status at the time of admission). Using “and” is consistent with the Court’s holding that the term “admitted” can include substantively unlawful admissions and more accurately summarizes the decision. It also subtly leads the reader to the Court’s conclusion. Had I used “but,” it would have negated the portion of the sentence that refers to lawful admission.
Although this example is one where I was simply trying to most accurately summarize judicial precedent, it is easy to imagine how using “and” or “but” can subtly persuade. The petitioner in Sum, for example, who was arguing that his substantively unlawful admission was not an “admission” as defined by the statute, would be best served by using “but.” For example,
“Petitioner was admitted into the United States at a point of entry as a lawful permanent resident, but was only admitted as such because he misrepresented his status.”
Using “but” calls into question whether the petitioner was “admitted” as defined by the statute. Conversely, the government would have been best served by using “and.” Both are proper recitations of the facts, but they subtly convey different meanings.