 The files are listed below once uploaded and can be referenced by their URL in any page. The URL is listed after the file link below.
{% url 'dictionary:protected_media' '' as protected_media_url %} {% if object_list %}| {% trans "File link" %} | {% trans "URL" %} |
|---|---|
| {{o.description}} | {{protected_media_url}}{{o.get_filename}} |


ORG_0000005 - informal organization
Label
informal organization
Sub class of
Definition
A group of people recognized as such by people outside the group. Without legal standing.
Definition source
Michael Conlon https://orcid.org/0000-0002-1304-8447
Example
A student club, a university committee, the VIVO Ontology Interest Group
Editor’s note
There are many names associated with informal organizations including club, group, party, team, cell, task force, work group, interest group, meeting, and roundtable. These could potentially be differentiated with class expressions involving dispositions and/or qualities in the future.
Term editor
Michael Conlon https://orcid.org/0000-0002-1304-8447


A special, ultra-simple form of DID doc is supported.
At first glance, it might seem that parties dealing in peer DID docs could just store raw DID docs. However, this is only a viable answer for the lower 2 layers of support for peer DIDs. Any time a DID doc evolves, proof that the evolution is authorized must be found in the DID doc's previous state. If an agent is offline for an extended period (e.g., a phone is lost in the couch cushions for a week), multiple evolutions may have occurred by the time it reconnects--and it cannot accept the latest state of the doc without validating the sequence of changes it underwent to get there. Agents must be able to prove to one another that the state they hold is correct, and they must be able to answer questions about what the state used to be, and who authorized which changes, when .
This means that updatable peer DID docs need to be associated with some type of backing storage that adds metadata and history to the simple content of the docs themselves.
The backing storage for updatable peer DID docs is therefore a sequence of deltas. Each delta is a JSON object in this form:
{ "change": <base64url encoding of a change fragment>, "by": [ {"key": <id of key>, "sig": <signature value>} ... ], "when": <ISO8601/RFC3339 UTC timestamp with at least second precision> }
Here, a change fragment is a sparse version of a DID doc that shows just the section being
updated. The by
property contains one or more key+signature pairs over the raw (non-base64url-encoded)
JSON text of the change fragment, and when
contains a value supplied by the system clock. This
value is like timestamps on an email header—not guaranteed to be highly accurate, but useful for rough
analysis.
Deltas are uniquely identified by the SHA256 hash of the raw (non-base64url-encoded) bytes of their change fragment, and so are the change fragments themselves. Two change fragments with the same semantic meaning but different indents or different attribute orders are considered different changes. This is because peer DIDs entirely ignore the thorny problem of JSON canonicalization. The raw bytes of change fragments are normative and MUST NOT be altered.
Comparisons of state between any two versions of a peer DID doc look at the raw bytes of all known change fragments, beginning with the stored variant of the genesis doc. Instead of testing the semantic equivalence of data structures built from DID docs, or comparing the resolved variants of DID Docs, they ask: "Do both parties know about the same changes?" If yes, then peer DID docs are considered equivalent, regardless of formatting differences.
Deltas are like database transactions, in that they may embody multiple changes that must be performed together. For example, key rotation involves both a key addition and a key deletion, performed as a unit. All changes in a single delta MUST share a common authorization; it is invalid to combine into one delta changes requiring two different authorizations, as this makes authorization of each individual change ambiguous.
A resolved peer DID doc at any given point in time is a view or projection of the cumulative effect of all known deltas up to that point, with resolution adding the DID value itself to the composite stored variant of DID doc data.
Early explorations of this DID method used the term microledger for backing storage. This term has some resonance, in that backing storage is an append-only record of immutable transactions. However, ledger technology requires strong ordering, whereas our ordering requirements are somewhat relaxed. What we need is closer to the approach of triple-signed receipts or KERI, not to a ledger or blockchain maintained by pure consensus. Thus, we have chosen not to emphasize the term here, because it may feel intimidating to some, and because the actual storage mechanism in an implementation of this method could be a simple file, a database, or anything else that provides suitable features.
In the discussion about generating a numeric basis for a peer DID, the genesis version of a peer
DID doc was defined. The genesis version is the one associated with the first delta committed to backing
storage. In the first delta, change
contains the genesis state of the doc, by
holds
a signature from any key defined internally in the genesis state, and when
is populated by the
system clock.
The genesis state MUST only be accepted by a peer if it is properly authenticated. This cannot be done by signing the DID doc, since such a signature doesn't bind the signer to the intention to share in any given context. Instead, the holder of the inception key must either sign a nonce that's bound to the sharing context, or must place authenticated encryption around the message that transmits the document to the peer. This proves that the creator of the DID intended to register it with the peer, and has not been shadowed by a malicious man-in-the-middle.
Because peer DID docs can be updated by multiple parties at the same time (as when two agents of the same identity owner rotate their keys without coordinating), they have the potential for merge conflicts. Resolving these merge conflicts could introduce much complexity in our DID method. However, peer DID docs use a clever technique that avoids much of the pain. The backing storage for peer DID docs is carefully defined to be a conflict-free replicated data type (CRDT).
CRDTs are a deep subject unto themselves, with a body of academic research; additional study is recommended. They are behind familiar experiences like simultaneous, distributed editing of Google Docs, which never raises error messages about merge conflicts. Here, we will not explain their theory; we will simply note some key requirements that they impose on DID docs and their backing storage. More details are given later in this spec, where individual parts of the DID doc are described. The general rules are:
id
properties that are unique within the DID doc, across all its versions.id
properties must be immutable. They can be deleted, but they can never have
a different state than they were created with. The effect of modifying an item can be achieved by
deleting an old item and replacing it with a new item that has a different id
and updated
properties.id
to a deletion list. This list
is a root property of the stored variant of a DID doc and is named deleted
. It is
suppressed when generating a resolved variant of the DID doc, so it is only visible in the deltas
of backing storage. See this clarifying example.publicKey
The publicKey
section of a peer DID document, in either stored or resolved form, is as you would
expect from a reading of the DID
spec. Peer DID docs MUST define all of their internal and external keys in this section; although the DID
spec permits inline definitions in the authentication
and authorization
sections of a
DID doc, this DID method disallows that option to simplify the possible permutations of a change fragment.
All id
properties associated with a key defined internally in the DID doc MUST be in
relative, not absolute form (that is, "#xyz" instead of "did:peer:abc#xyz"). IDs for keys defined
interally may be generated in either of these two ways:
id
, if this
provides enough uniqueness within the document. (Global uniqueness is irrelevant.) For example, if the
key is defined with a publicKeyBase58
property value that begins with H3C2AVvL
,
then its id
would be H3C2AVvL
; a key with a publicKeyHex
property
that begins with 02b97c30
would have an id
of 02b97c30
, and a key
with a publicKeyPem
property that begins, after its -----BEGIN PUBLIC KEY
delimiter, with the value izfrNTmQ
, would have an id
of izfrNTmQ
.
id
instead.All IDs in DID docs, including these, should be considered case-sensitive. Ignoring case will result
in invalid comparisons for key id
s based on encodings that are not hex.
Because peer DIDs usually operate independent of global registries, external references (where controller
is not #id
) will probably be rare, with the possible exception of
mediator keys that have the route privilege.
{ ... "publicKey": [ { "id": "H3C2AVvL", "type": "Ed25519VerificationKey2018", "controller": "#id", "publicKeyBase58": "H3C2AVvLMv6gmMNam3uVAjZpfkcJCwDwnZn6z3wXmqPV" }, { "id": "02b97c30", "type": "Secp256k1VerificationKey2018", "controller": "#id", "publicKeyHex": "02b97c30de767f084ce3080168ee293053ba33b235d7116a3263d29f1450936b71" }, { "id": "izfrNTmQ", "type": "RsaVerificationKey2018", "controller": "#id", "publicKeyPem": "-----BEGIN PUBLIC KEY\r\nizfrNTmQ...END PUBLIC KEY-----\r\n" } ] ... }
This DID method is relatively agnostic with respect to key types. However, elliptic curve keys (Ed25519, Secp256, etc) are recommended because the keys are smaller, the number of bits of security are greater, and the computations more efficient, than RSA key types.
To add a new key with id
= Mv6gmMNa
to a peer DID doc, you might create
a change fragment of the DID doc that looks like this:
{ "publicKey": [ { "id": "Mv6gmMNa", "type": "Ed25519VerificationKey2018", "controller": "#id", "publicKeyBase58": "Mv6gmMNam3uVAjH3C2AVvLZZn6z3wXmqPVpfkcJCwDwn" } ], "authorization": { "profiles": [ {"key": "#Mv6gmMNa", "roles", ["edge"]} ] } }
Change fragments only show where something is appended to either normal lists or the deletion
list. Here, the single entries under publicKey
and authorization.profiles
are
additions, not replacements, to the lists that already contain values. (The trust profile embodied in
the authorization.profiles
associates the new key with privileges. This must be done at creation
time. It is discussed under authorization
.) The delta that
encapsulates this update would take the above JSON text, base64url-encode it, and assign the result to the
delta's change
property. It would need to be authorized by a key with the key_admin
privilege, evidenced in the delta's by
field. The resulting delta might look like this:
{ "id": "040aaa5e-1a27-40d8-8d53-13a00b82d235", "change": "ewogICJwdWJsaWNLZXkiOiBbCiAgICB...ozd1htcVBWcGZrY0pDd0R3biIKICAgIH0KICBdCn0=", "by": [ {"key": "H3C2AVvL", "sig": "if8ooA+32YZc4SQBvIDDY9tgTa...i4VvND87PUqq5/0vsNFEGIIEDA=="} ], "when": "2019-07-18T15:49:22.03Z" }
Any key can be deleted by appending its id
to the deleted
list at the root of
the stored variant of a peer DID doc, and by removing its corresponding entry from the publicKey
section. Only the append-to-deleted
operation needs to be represented in the change
fragment; the corresponding removal from the publicKey
section is implied. For example, to
delete a key with id
= izfrNTmQ
, your change fragment would look like
this:
{ "deleted": [ "izfrNTmQ" ] }
This fragment would be base64url-encoded and signed in a corresponding delta, in much the same way that the fragment was handled in the example about adding a key.
authentication
The authentication
section of a peer DID document conforms to standard practice described in the DID spec,
with the constraint that only references, not inline key definitions, are allowed. Any keys referenced
here may be used to authenticate or login as the DID.
However, the meaning of "authenticate" or "login" deserves comment, because there is a tendency in DID circles to reference too many keys in this section, and because heavy use of this section is discouraged with peer DIDs.
A sovereign domain (the scope of things under the control of a single, sovereign identity owner) may include keys that represent the identity owner with greater or lesser degrees of trust. For example, the identity owner may hold one key on paper, locked in a safe; she may hold another key on a mobile device's secure enclave, protected by a biometric; she may hold a third key on a server in a config file protected only by an ACL. These keys may all be legitimate evidence that the DID subject is interacting, but they are not equally strong evidence. Only the strongest forms of evidence should be accepted as a basis for authentication when stakes are high.
This is not unlike what happens on the political landscape. A low-level diplomat and the president / premier / prime minister of a nation are both authentic representatives of their people—but the scope of their privileges, and the concomitant trust, are different. Only the highest-level officials should be signing binding international treaties.
The authorization
section of peer DID docs, described next, is
where fine-grained privileges are described. The authentication
section is a blunt instrument,
incapable of distinguishing between these levels of trust, and incapable of associating trust with anything
more complex than a single key. It is supported for historical reasons, and because most so-called "DID
Authentication" use cases assume it will be populated. With peer DIDs, the strong recommendation is that
only keys held by the most trusted proxies should be referenced here—only list the equivalent of your
president / premier / prime minister keys in this section, not the equivalent of keys for your low-level
diplomats. This will prevent impersonation by less trusted keys when stakes are high.
As mentioned earlier, all objects having an id
property in peer DID docs are immutable. This
means that a key cannot change its status with respect to the authentication
section of a peer
DID doc during its lifetime in that doc; it must be declared as an authentication key when it is first
defined. A change fragment for adding an internally defined key and giving it status in the
authentication
section at the same time might look like this:
{ "publicKey": [ { "id": "Mv6gmMNa", "type": "Ed25519VerificationKey2018", "controller": "#id", "publicKeyBase58": "Mv6gmMNam3uVAjH3C2AVvLZZn6z3wXmqPVpfkcJCwDwn" } ], "authentication": [ "#Mv6gmMNa" ], "authorization": { "profiles": [ {"key": "#Mv6gmMNa", "roles", ["edge"]} ] } }
Adding or deleting a key with authentication privileges can only be authorized by a key that has the key_admin privilege.
Because a key's authentication privileges are immutable, the only way to take away authentication privileges from a key is to remove it entirely from the DID doc.
authorization
This section of a peer DID docs governs how DID docs are updated and DIDComm trust flows. It doesn't contemplate custom authorization schemes such as peers might develop to give each other spending limits or access to sensitive data. Those matters are better formalized with something like a verifiable credential, or a simple digitally signed permission slip.
Peer DID docs organize their authorization
section into two lists. The first, profiles
, gives a trust profile for each key, as expressed by named roles the key holds. These
named roles are arbitrary strings chosen by the implementer; since they are only used to match against
rules in the second list, their meaning in normal language does not need to be understood by a party
wishing to support correct semantics.
Changes to the profiles
list MUST be performed when a key is added or deleted;
the trust profile of a key cannot change after it is created.
The second list contains SGL rules that grant privileges according to named roles. Here is an example:
“authorization”: { "profiles": [ {"key": "#Mv6gmMNa", "roles", ["edge"]}, // an "edge" key {"key": "#izfrNTmQ", "roles", ["edge", "biometric"]}, // an "edge" and a "biometric" key {"key": "#02b97c30", "roles", ["cloud"]}, // a "cloud" key {"key": "#H3C2AVvL", "roles", ["offline"]}, // an "offline" key ], "rules": [ { "grant": ["register"], "when": {"id": "#Mv6gmMNa"}, "id": "7ac4c6be" }, { "grant": ["route", "authcrypt"], "when": {"roles": "cloud"}, "id": "98c2c9cc" }, { "grant": ["authcrypt", "plaintext", "sign"], "when": {"roles": "edge"}, "id": "e1e7d7bc" }, { "grant": ["key_admin", "se_admin", "rule_admin"], "when": { "any": [{"roles": "offline"}, {"roles": "biometric"}], "n": 2 } "id": "8586d26c" } ] }
In plain english, these rules say:
Far more elaborate rules can be constructed. See the SGL documentation for details.
Unlike role names, the privileges named in these rules DO need to be understood by code that parses peer DID docs; it is these privileges that others in a relationship should enforce. Possible values include:
forward
messages encrypted for itself, and to forward the contained
DIDComm encryption envelope to another key. Holders of these keys thus become aware
of the timing and size of some incoming messages for the recipient (though not of the messages' senders
or content). This privilege is required and appropriate for any cloud agent or
mediator that exposes a service endpoint on behalf of mobile devices or other agents behind a
firewall.The holder of this privilege can incur non-repudiable contractual obligations on behalf of the DID subject.
This may actually be a better test for login or authentication, in many cases, than whether a key appears
in the authentication
section of the DID doc; it depends on
what trust is imputed after login.
Any key holder can sign a DIDComm message; doing so gives non-repudiation to the message. However, remember our earlier discussion about low-level diplomats versus the president or prime minister of a country—both are authentic officials, but only the president or prime minister's signature is binding on an international treaty. This privilege makes explicit that sort of special binding-the-owner status; any other signatures serve to prove origin with a specific agent but not the endorsement of the DID subject.
publicKey
section, authentication
section,
or authorization.profiles
list. Typically this privilege is held only by very privileged
keys, or by combinations of keys, to prevent hackers who co-opt one device from adding new, malicious
keys to the inventory.
To guard against privilege escalation, it is important to enforce that entity
adding the new key can only add grant privileges (add roles
) that it itself has.
Also note that a key can remove itself from publicKey
section,
it does not need the key_admin
privilege. A real example would be when an existing device with a
key in the DID doc gets damaged and the identity owner has no plans to replace it.
The holder of this privilege can add or remove items from a peer DID doc's
service
section.
The holder of this privilege can add or remove rules from a peer DID doc's authorization.rules
list. Typically this privilege is held only by very privileged keys, or by combinations of keys.
revoke-implicit
is used to prevent keys from having implicit privileges. The example below shows that the key id
#H3C2AVvL
is unable to replace its associated key definition.
“authorization”: { "profiles": [ {"key": "#Mv6gmMNa", "roles", ["edge"]}, // an "edge" key {"key": "#H3C2AVvL", "roles", ["offline"]}, // an "offline" key ], "rules": [ { "grant": ["authcrypt", "plaintext", "sign"], "when": {"roles": "edge"}, "id": "e1e7d7bc" }, { "revoke-implicit": ["rotate"], "when": {"key": "#H3C2AVvL"}, "id": "f908a18c" }, { "grant": ["key_admin", "se_admin", "rule_admin"], ...... ...... ...... } ] }
Notice that rules have id
properties. The IDs for these rules can be assigned by any convenient
method that provides collision resistance across concurrent updates.
These id
s give rules the same CRDT semantics as keys
and service endpoints—they can be added or removed with deltas, but never modified. A change
fragment that adds a new rule might be:
{ "authorization": { "rules": [ { "grant": ["route", "authcrypt"], "when": {"roles": "cloud"}, "id": "rule-7" } ] } }
Both adding and deleting a rule must be authorized by a key with the rule_admin privilege. Care should be taken to bundle additions and deletions of rules in such a way that once a full delta is applied, the new state provides adequate privileges for all existing keys.
A change fragment that deletes a rule might look like this:
{ "deleted": [ "rule-7" ] }
See the note above, in the Adding a rule section, about privileges and transactional logic when deleting rules.
service
This section matches the general description of service endpoints in the DID Spec. Any changes to this section of the DID doc must be authorized by a key with the se_admin privilege.
A change fragment that adds a service endpoint might look like this:
{ "service": [ { "id": "#agent", "type": "AgentService", "serviceEndpoint": "https://agents-r-us.com" } ] }
A change fragment that deletes a service endpoint might look like this:
{ "deleted": [ "#agent" ] }


Developed for Android 6 (Marshmallow), this application is a text editer developed in Java using Android Studio which allows users to develop various branching storylines. Each text component is grouped in a 'scene' which can lead to one or more follow-up scenes which can contain their own story branches. The editor also handles scene-tree restructuring when scenes are deleted or moved. Currently in development is adding cloud scene sharing functionality.
View ProjectWith an interdisciplinary team, over the course of a year, integrated the ROS framework, alongside hardware and the V-Rep simulator. Using visual tools and Lua scripts, provided a custom model for input testing using V-Rep, which provided proximity IR and Kinect sensor output information along with motor simulation. Additionally produced code in Python for control (using an Xbox 360 controller) and conversion between hardware and simulations as well as a poster design for the project.
View ProjectProgram created using Python which has competing members of a population generate relative minimum cost paths over generations. Each 'individual' is a chromosome composed of genes which determine a number of steps to take and an associated angle. Each generation one member dies off and another is created using genes from two other member of the population. Pseudo randomness is also added to the system to add/drop genes or mutate them. A graphing API (Xlsxwriter) was also added to chart minimum costs in the population over time.
View ProjectWith a team of four people and for six months created a library database server and website. Personal responsibilities involved the creation of a SQL-like database management system, using Java. A highlight of program functionality includes user-error handling with detailed descriptions, select, insert, update, delete, create, drop, alter and truncate table methods alongside where and inner join contexts and three data types.
View ProjectUsing Python and Pygame API, created a program which allows the user to paint 2D game tile maps from imported tile-sets of varying bit sizes. Imported tile-sets of any size would be partially displayed in a work-space coupled with an editor window of user defined size. UI elements, such as sub-windows and scroll bars were programmed using primative shapes. A save feature was included to output the user constructed tile-map.
View ProjectCoded on top of a bootstrap theme named "1 Col Portfolio" which can be read about in the readme file. The layout was modified for project descriptions to lay to the left and images to the right. Image sections were also editted to accomodate multiple images of varying sizes and were made to use a css zoom affect on mouse hover. Each project links to github.com, with image icons leading to larger image displays. Icons were made at a lower resolution to decrease page load times.
View Project


Batman
Batman is a movie starring Michael Keaton, Jack Nicholson, and Kim Basinger. The Dark Knight of Gotham City begins his war on crime with his first major enemy being the clownishly homicidal Joker.


Implements interfaces:
Located in /Event/HandlerQueue.php (line 21)
Required by the Countable interface
Required by the Iterator interface
Removes an item from the front of a queue and returns it
Adds the item to the end of the queue
Required by the Iterator interface - Returns the array key
Required by the Iterator interface
Required by the Iterator interface
Required by the Iterator interface
Documentation generated on Sun, 13 Jun 2010 20:36:16 +0200 by phpDocumentor 1.4.3


| This report lists all the pages containing broken links and the actual URLs within these pages that are not working. If you have 'author' metatags in your HTML code, Linkbot will also give you a breakdown of the errors for each author in your workgroup. See Linkbot's on-line help for more information on this feature. |
| PAGES WITH ERRORS BROKEN DOWN BY AUTHOR |
| AUTHOR | PAGES WITH ERRORS |
| (No Author specified in META tags) | 5 |
| Natasha Vita More | 4 |
| Total | 9 |
| BROKEN PAGES CREATED BY: (No Author specified in META tags) |
| PAGE: Natasha ART DIRECTOR
http://www.extropic-art.com/artdir.htm BAD LINKS: |
| 1. http://www.extropic-art.com/new.htm (Current Projects, Error: 404: Not Found) |
| 2. http://www.extropic-art.com/links.htm (LINKS, Error: 404: Not Found) |
| 3. http://www.extropic-art.com/14.gif (14.gif, Error: 404: Not Found) |
| 4. http://www.extropic-art.com/hayek.gif (hayek.gif, Error: 404: Not Found) |
| 5. http://www.extropic-art.com/neuro.gif (neuro.gif, Error: 404: Not Found) |
| 6. http://www.nanothinc.com/ (Nanothinc, Error: Host not found) |
| PAGE: TRANSHUMAN ARTIST
http://www.extropic-art.com/artist.htm BAD LINKS: |
| 1. http://www.extropic-art.com/links.htm (LINKS, Error: 404: Not Found) |
| 2. http://www.extropic-art.com/nlogo2.gif (nlogo2.gif, Error: 404: Not Found) |
| 3. http://www.extropic-art.com/new.htm (Current Projects, Error: 404: Not Found) |
| PAGE: Calendar
http://www.extropic-art.com/calendar.htm BAD LINKS: |
| 1. http://www.extropic-art.com/tile18.gif (Background, Error: 404: Not Found) |
| PAGE: Order
http://www.extropic-art.com/order.htm BAD LINKS: |
| 1. http://www.extropic-art.com/new.htm (Current Projects, Error: 404: Not Found) |
| 2. http://www.extropic-art.com/links.htm (LINKS, Error: 404: Not Found) |
| PAGE: Transhuman Web Sites
http://www.extropic-art.com/weblinks.htm BAD LINKS: |
| 1. http://www.aleph.se/Trans (images/aleph.jpg, Error: Host not found) |
| 2. http://www.extropic-art.com/www.aec.at/prix/einstieg/EList_WorldWideWeb-Site.html (images/idea.jpg, Error: 404: Not Found) |
| 3. http://www.merlin.com.au/stelarc/ (Stelarc, Error: 404: Not Found) |
| 4. http://www.c2.org/~arkuat/ (Eric Watt Forste, Error: 404: Not Found) |
| 5. http://www.leonardo.net/markgash (Mark Gash, Error: 404: Not Found) |
| 6. http://www.stack.nl/~hkl/ (Henri Kluytmans, Error: 404: Not Found) |
| 7. http://www.intac.com/~dimitri/dh/learywilson.html (Timothy Leary, Error: 404: Not Found) |
| 8. http://homepages.together.net/~retroman (Michael Lorrey, Error: 404: Not Found) |
| 9. http://www.primenet.com/~maxmore (Max More, Error: 404: Not Found) |
| 10. http://www.nanothinc.com/ (Nanothinc, Error: Host not found) |
| 11. http://www.merlin.com.au/stelarc (Stelarc, Error: 404: Not Found) |
| BROKEN PAGES CREATED BY: Natasha Vita More |
| PAGE: EXTROPIC ART MANIFESTO
http://www.extropic-art.com/extropic.htm BAD LINKS: |
| 1. http://www.primenet.com/~maxmore (Max More, Error: 404: Not Found) |
| 2. http://www.c2.org/~arkuat/ (Eric Watt Forste, Error: 404: Not Found) |
| PAGE: TRANSHUMANIST ART STATEMENT
http://www.extropic-art.com/transart.htm BAD LINKS: |
| 1. http://www.extropic-art.com/transart.htm#000000 (, Error: Undefined Anchor) |
| PAGE: TRANSHUMAN BOOK MARKET
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| 2. http://www.extropic-art.com/transhumanbook.htm#000000 (, Error: Undefined Anchor) |
REPORT CREATED BY |


Online/offline events could not be trigger programatically, so they have to be tested manually. To test behaviour of network monitor button, go offline and online again by doing the following:
Button label should be "This device seems to be disconnected from the web" in offline mode, and "This device seems to be connected to the web" when you're online.
If network monitor button is not visible, this means it's not supported in this browser.


The
Mexican City
of Puebla
Here are some interesting reasons I want to visti Puebla:
The Location
Puebla is located in Central Mexico
It is close to both Mexico City and Guadalajara
You can easily visit other locations that are nearby!
Visiting a new place is always exciting!
The Architecture
Mexican architecture is a wonderful combination of classic Spanish and other styles.
Many of the churches are beautiful and ornate
Mexican culture also retains elements of the indigenous cultures
These indigenous elements combine to give a unqiue feel
In my opinion, the most interesting places have a combination of cultures!
There are many reasons to visit Puebla, and these are just a few!
Visit this
link
to find out more!
Vacation Package #1
Price: $100
Available from October to April
City wide tour
Vacation Package #2
Price: $200
Dates available September to January
Horseback Riding
Vacation Package #3
Price: $300
Available from March to August
Tequila Tasting
What other tourists have said!
"What an amazing city!"


Here is a undirected graph with nodes and edges.
()
Each node has a weight .
defines the simple route from to with the largest .
defines the weight of the node with the least weight on that simple route.
Output the average of of all possible pairs of nodes on the graph.
Sort the nodes with their weights in decreasing order.
Starting from an empty graph, add the nodes to the graph one by one.
Each time some components may become connected by the new node added.
where and are in two different components that to be connected by the new node, equals to the weight of the new node.
Use disjoint sets to work it out.
Join the components to that new node one by one.
Add the sum of the s to the answer during each joint.
#include <vector>
#include <cstdio>
#include <algorithm>
using namespace std;
const int MAX_N = int(1e5) + 10;
int n, m;
vector<int> edge[MAX_N];
pair<int, int> animal[MAX_N];
bool vis[MAX_N];
struct Disjoint_sets
{
int father[MAX_N];
int num[MAX_N];
Disjoint_sets()
{}
Disjoint_sets(int n)
{
for (int i = 0; i < n; i++)
{
father[i] = i;
num[i] = 1;
}
}
int root(int a)
{
int ret = a;
while (father[ret] != ret)
ret = father[ret];
while (father[a] != a)
{
int b = a;
a = father[a];
father[b] = ret;
}
return ret;
}
void join(int a, int b) // b is the root then
{
int num_a = num[root(a)];
father[root(a)] = father[root(b)];
num[root(b)] += num_a;
}
};
int main()
{
//input
scanf("%d%d", &n, &m);
for (int i = 0; i < n; i++)
{
int a;
scanf("%d", &a);
animal[i] = make_pair(a, i);
}
for (int i = 0; i < m; i++)
{
int a, b;
scanf("%d%d", &a, &b);
a--;
b--;
edge[a].push_back(b);
edge[b].push_back(a);
}
//work
Disjoint_sets d_sets(n);
fill(vis, vis + n, 0);
sort(animal, animal + n);
long long ans = 0;
for (int i = n - 1; i >= 0; i--)
{
int u = animal[i].second;
int min_num = animal[i].first;
vis[u] = true;
for (int j = 0; j < (int)edge[u].size(); j++)
{
int v = edge[u][j];
if (!vis[v])
continue;
if (d_sets.root(v) != d_sets.root(u))
{
ans += 1LL * min_num * d_sets.num[d_sets.root(v)] * d_sets.num[d_sets.root(u)];
d_sets.join(v, u);
}
}
}
double final_ans = ans * 2.0 / n / (n - 1);
printf("%.12f\n", final_ans);
return 0;
}
Here are some write-ups for the problems I solved on Codeforces.


How a CPU works
Read: Stuff I found interesting about CPUs
Made by:
Soham Sen
## What even is the purpose of a CPU? At the grassroots level, a CPU just does the following: 1. Read some instructions from the memory on what to do 2. If required, load data from memory 3. Perform some computations on the data 4. Store the data back into the memory 5.  It is known as the machine cycle, consisting of three steps: 1. **Fetch** instructions 2. **Decode** the instruction and understand what to do 3. **Execute** the instruction
## But wait, what is a register? You might be aware of RAM, which is used to temporarily store data that is used by a CPU. It is much faster to read or write data onto RAM than a hard disk, at the cost of reduced size. Similarly, a register can be considered as a temporary storage space that is accessed directly by the CPU. While it might take the CPU around 62 ns to access the RAM, it can access registers in less than 1 ns! This comes at a greater cost, with registers typically being less than 64 bits.
## Some common registers * **Instruction register** storing the instruction currently being executed. * **Data registers** holding numerical data, and sometimes even floats, characters or other values. * **Address registers** holding addresses, typically RAM memory addresses. * **Stack register** which points to the top of the _stack_, that is, the location at the top of the stack. * ...and many more architecture-specific ones, check the [Wikipedia article](https://en.wikipedia.org/wiki/Processor_register#Types) for more!
## The instructions The instructions that a CPU supports varies between each architecture. These instructions are written in Assembly language (or directly hex if you're daring enough) and processed by the CPU directly.
## Some common instructions Let's learn some basic instructions for x86! 1.
`mov a b`
Move the contents of b into a 2.
`push a`
Push the contents of a into the top of the stack. 2.
`pop a`
Pop the top element of the stack into a. 3.
`add a b`
Add a and b, and then store the result in a. (a = a + b) The full list of instructions for the x86 instruction set is [available here](https://www.cs.virginia.edu/~evans/cs216/guides/x86.html).
## Modern CPU Magic: Branch prediction There is a very famous [Stackoverflow question](https://stackoverflow.com/questions/11227809/why-is-processing-a-sorted-array-faster-than-processing-an-unsorted-array) on why processing a sorted array is faster. Much faster in fact, almost 6 times faster than an unsorted array. To understand why this happens, we need to learn about pipelining in CPUs first.
## Pipelines With pipelines we can increase the throughput of instructions (even though the latency stays same). For example, while one instruction is being executed, the next one can be decoded and the one after that can be fetched in parallel, since all three are being run by different circuits.
## But what happens with conditional statements? When we face conditional statements (like if-else), we are faced with a problem when using pipelines: **We don't know whether there will be a jump to some other instruction, or it will continue to the next instruction!** One naive way to solve this problem will be to process one instruction at a time, but this will make a CPU slower because we won't be executing pipelines in parallel anymore.
## Where branch prediction steps in Branch prediction is used to predict if a conditional jump will be executed or not (will it continue to the next instruction, or will it jump to the next one?) Say we are predicting in advance that the conditional jump will _not_ be executed, so in the other pipelines, we continue to process the instructions _after_ the conditional jump. If it turns out that the conditional jump was false indeed (that is, no jump), we will already have been processing the next instructions and will not have to wait till the jump was executed.
## The cost of misprediction If we mispredict, we will have to throw away the next instructions that were processed, and start again from the start. This is what results in the slow executing in the Stackoverflow question. Since the data is random, we are mispredicting a lot of branches, which essentially makes the CPU run sequentially. A modern CPU has a lot of pipelines, so throwing away the processed instructions is equivalent to wasting 10-20 CPU cycles.
## Types of branch prediction Some common ones are: 1.
**Static**
: Assume all conditional jumps are always false (or true). 2.
**Dynamic**
: Depends on the last jump. Such as, if the last two jumps were false, the next one will be false too. 3.
**Neural**
: Use machine learning and magic to predict branches, used by many modern CPUs.
# ありがとう！ TL note\: Thanks<EMAIL_ADDRESS>sohamsendev@oksbi


Welcome to my Blog!
So I've finally decided to get myself a blog, after seeing a few options I decided to go with Jekyll and Github Pages.
Purpose
I feel this blog could combine most of my passions, coding, movies, and anything else I feel like blogging about. To that end my goal is to separate the main page into multiple post groups. Each group would let you see new posts from that category.
As I add more topics I will update this post.
Coding
This would list any CS related topics, and though the title is "Coding" it would include algorithms and other such theoretical topics.
Media
This would be a conglomeration of any movies, books, and other such topics. Mostly this will compose of reviews.
Rant
Miscellaneous talks will go here
Conclusion
Expect to see many changes for the next months as I customize this blog and personalize as much as I can.


--- layout: post title: First Application in Simulator date: 2014-04-24 20:01:00.000000000 +05:30 type: post published: true status: publish categories: - Apps - Firefox - Firefox OS - Firefox OS Tutorials tags: [] meta: blogger_blog: www.technoruler.com blogger_author: VISWAPRASATH KS blogger_cb097c283b9bbfde97b4822e7250157d_permalink: '3670944694782320146' author: login: viswaprasath email<EMAIL_ADDRESS>display_name: Vitchu first_name: '' last_name: '' ---
In our previous post we have seen the starting of the application. We have developed our application have a part and saw its output in the browser. So what is the final thing we should do to see our application to the simulator and then to the Firefox Market place. I guess you can find the list of requirement in this post. Please don't forget to have all the requirements.
The detailed description about the mainfest is as follows.
| Look of an typical mainfest |
So now we will be having only 2 files of this application one is the very important file where the application will be started and another one is the manifest.webapp file which will be telling the details about the Firefox OS application. Take a look at this below
| Folder containing files |
Now we almost finished all the work for the application development. The next step is to run the mobile application and test it in the simulator to see how it works.


Server Auto-discovery, Binding, XML-RPC, WADL and REST interface by Siphon // SOAP and WSDL handling by NuSOAP.
Comments or problems can be addressed to: c.f.bate@reading.ac.uk


Collaborate. Track. Sell. Manage with ease.
Getting your team on board is as simple as sending an email. Getting them hooked is as simple as letting them use it.
Build and customize your dashboards to gain important insights and a clear overview of your work.


About
SingerJS makes songs on your webpage more beautiful and elegant.
Ideally, the song has a title, an author and a text with chords. Here is a style SingerJS works with:
- the title (if it exists) is written on the first line
- the name of author (also optional) is on the second line just after the title
- the author comes only with the title
- there is a blank line between the author and text
- chords are always written on the separate line
Demo
Usage
Songs are displayed using monospace font in order to keep chords in the same position as they were written, thus it's better to create the song in a text editor which also uses a monospace font (e.g. textEdit in MacOS or Notepad in Windows).
Copy the song text inside pre tag:

Include SingerJS styles in head section of your page:
<link href="singerjs.css" rel="stylesheet" />
Include SingerJS script just before the end of body section:


Classes and Methods
Today we’ll be expanding on Java’s capabilities by introducing its object-oriented features.
By The end of this lesson you should:
So far we've used Java's provided types (e.g. String, Integer).
Now we will create our own objects to represent things that exist in our world
What if I want to represent a Person
, who has a name
, age
and height
?
We can do this in Java be defining a class
- a blueprint from which we can create many Person
s:
public class Person {
private String name;
private Integer age;
private Integer height;
public Person(String name, Integer age, Integer height) {
this.name = name;
this.age = age;
this.height = height;
}
public String getName() {
return name;
}
public Integer getAge() {
return age;
}
public Integer getHeight() {
return height;
}
}
There's a few things going on, so we'll cover these step-by-step
public class Person {
...
}
This defines that we’re creating a new blueprint/class
which defines a Person
- it is public
meaning anyone anywhere in another file can use this class
.
public class Person {
private String name;
private Integer age;
private Integer height;
...
}
A field/property is a variable that belongs to the class
- they are the internal state of the class.
In this case name
, age
and height
are the state of a Person
.
These properties are private to stop outside access and editing in ways we don't want.
Notice that we now cannot use var
for properties.
public class Person {
// fields/properties
public Person(String name, Integer age, Integer height) {
this.name = name;
this.age = age;
this.height = height;
}
...
}
A constructor is the method used to create new Person
s.
This method creates a new instance of Person
and then lets us define what to do with the new instance
In this case name
, age
and height
are initialized from the arguments of the same name.
Notice that we now cannot use var
for arguments.
public class Person {
this.name = name;
// other fields/properties
// constructor
public String getName() {
return name;
}
// other methods
}
methods use the internal state of the object to return a result.
Methods are the only way you'll interact with objects, this lets the creator know that the internal state is always valid.


Bootstrap-themes
Buttons
Alerts
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Labels
Default
Primary
Success
Info
Warning
Danger
List Groups
List Panels
Panel title
Panel content
Panel title
Panel content
Panel title
Panel content
Panel title
Panel content
Panel title
Panel content
Panel title
Panel content
Carousel


Film: 1
Title: Dr. No
Year: 1962
Director: Terence Young
Producers: Harry Saltzman and Albert R. Broccoli
Writers: Richard Maibaum, Johanna Harwood and Berkely Mather
Composer: Monty Norman
Bond: Sean Connery
Budget: $1,000,000.00
BoxOffice: $59,567,035.00
Image: dr-no.jpg


{{+bindTo:partials.standard_nacl_api}}
| PP_Resource(* | Create )(PP_Instance instance, PP_InputEvent_Type type, PP_TimeTicks time_stamp, uint32_t modifiers, uint32_t key_code, struct PP_Var character_text, struct PP_Var code) |
| PP_Bool(* | IsKeyboardInputEvent )(PP_Resource resource) |
| uint32_t(* | GetKeyCode )(PP_Resource key_event) |
| struct PP_Var(* | GetCharacterText )(PP_Resource character_event) |
| struct PP_Var(* | GetCode )(PP_Resource key_event) |
The PPB_KeyboardInputEvent
interface contains pointers to several functions related to keyboard input events.
| PP_Resource(* PPB_KeyboardInputEvent::Create)(PP_Instance instance, PP_InputEvent_Type type, PP_TimeTicks time_stamp, uint32_t modifiers, uint32_t key_code, struct PP_Var character_text, struct PP_Var code) |
Creates a keyboard input event with the given parameters.
Normally you will get a keyboard event passed through the HandleInputEvent and will not need to create them, but some applications may want to create their own for internal use. The type must be one of the keyboard event types.
| [in] | instance | The instance for which this event occurred. |
| [in] | type | A PP_InputEvent_Type identifying the type of input event. |
| [in] | time_stamp | A PP_TimeTicks indicating the time when the event occurred. |
| [in] | modifiers | A bit field combination of the PP_InputEvent_Modifier flags. |
| [in] | key_code | This value reflects the DOM KeyboardEvent keyCode field, which is the Windows-style Virtual Key code of the key. |
| [in] | character_text | This value represents the typed character as a UTF-8 string. |
| [in] | code | This value represents the DOM3 |code| string that corresponds to the physical key being pressed. |
PP_Resource
containing the new keyboard input event. struct PP_Var(* PPB_KeyboardInputEvent::GetCharacterText)(PP_Resource character_event) [read] |
GetCharacterText() returns the typed character as a UTF-8 string for the given character event.
| [in] | character_event | A PP_Resource corresponding to a keyboard event. |
struct PP_Var(* PPB_KeyboardInputEvent::GetCode)(PP_Resource key_event) [read] |
GetCode() returns the DOM |code| field for this keyboard event, as defined in the DOM3 Events spec: http://www.w3.org/TR/DOM-Level-3-Events/.
| [in] | key_event | The key event for which to return the key code. |
| uint32_t(* PPB_KeyboardInputEvent::GetKeyCode)(PP_Resource key_event) |
GetKeyCode() returns the DOM keyCode field for the keyboard event.
Chrome populates this with the Windows-style Virtual Key code of the key.
| [in] | key_event | A PP_Resource corresponding to a keyboard event. |
IsKeyboardInputEvent() determines if a resource is a keyboard event.
| [in] | resource | A PP_Resource corresponding to an event. |
PP_TRUE
if the given resource is a valid input event.


Select the file(s) and start uploading with the "Upload" button.
Browse uploaded files or upload directly to Google Drive from here.
Select the file(s) and start uploading with the "Upload" button.
Browse uploaded files or upload directly to Google Drive from here.


Failed to load template: {0} (HTTP status: {1} {2})
This error occurs when $templateRequest
attempts to fetch a template from some URL, and
the request fails.
The template URL might be defined in a directive/component definition, an instance of ngInclude
,
an instance of ngMessagesInclude
or a templated route in a $route
route definition.
To resolve this error, ensure that the URL of the template is spelled correctly and resolves to correct absolute URL. The Chrome Developer Tools might also be helpful in determining why the request failed.
If you are using $templateCache
to pre-load templates, ensure that the cache was
populated with the template.


Dedicated To Sergio, the Sole Autist
Info!  In addition, this Website provides useful resources for new and experienced players, the Details of the card, the position are generally known, and the improvement of the General стратагем.
While this website costs little to run, it does cost. Domain registration fees are $10 a year, and I'm broke. Help support this site, and help the site to grow and be maintained! Disable Adblock if it is on pls :)


Greta Thunberg named as Today programme guest editor
Five names will take over the BBC Radio 4 show during the Christmas and New Year period.
Environmental activist Greta Thunberg has signed up to guest edit the Today programme.
The 16-year-old is one of five people who will take over the BBC Radio 4 show during the Christmas and New Year period.
Supreme Court president Lady Hale, who delivered the ruling that Boris Johnson’s decision to suspend Parliament was unlawful, has also signed up.
Artist Grayson Perry, rapper George The Poet and Charles Moore, a critic of the BBC, will also guest edit the high-profile news show.
Each programme will include an interview with the guest editor.
Nobel Peace Prize nominee Greta, who has spearheaded a global movement and school strikes around the world, will speak to leading climate change figures and hear from indigenous, frontline activists.
She has commissioned reports from the Antarctic and Zambia and an interview with Mark Carney, the Governor of the Bank of England.
Lady Hale gives the programme a tour of the Supreme Court and has asked Today to explore the issue of coercive control – extreme psychological and emotional abuse.
Previous guest editors have included the Duke of Sussex, Angelina Jolie, John Bercow, Sir Lenny Henry and Professor Stephen Hawking.
Spoken word artist George The Poet will report from Uganda and explore issues around identity.
Turner Prize winner Perry will examine stereotypes and Moore, former editor of The Daily Telegraph, will focus on freedom of expression.
They will each guest edit the programme between December 26 and 31.
The Today guest editors are part of the BBC Radio and Sounds Christmas line up, which is fully unveiled on Monday.


DRACULA: DEAD AND LOVING IT A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 5.0
United States, 1995 U.S. Availability: 12/22/95 (wide) Running Length: 1:30 MPAA Classification: PG-13 (Sexual "humor") Theatrical Aspect Ratio: 1.85:1
Cast: Leslie Nielsen, Mel Brooks, Peter MacNicol, Steven Weber, Amy Yasbeck, Lysette Anthony, Harvey Korman Director: Mel Brooks Producer: Mel Brooks Screenplay: Mel Brooks, Rudy De Luca, and Steve Haberman Cinematography: Michael D. O'Shea Music: Hummie Mann U.S. Distributor: Columbia Pictures
When it comes to spoofs of horror films, one of the greatest of all time is surely Mel Brooks' YOUNG FRANKENSTEIN, a movie that's as clever as it is funny. Now, more than two decades later, Brooks has attempted to re-create the magic by doing to Bram Stoker's vampire legend what he did in 1974 to Mary Shelly's gothic tale. Alas, DRACULA: DEAD AND LOVING IT doesn't come close to the level attained by YOUNG FRANKENSTEIN. It's a toothless parody that misses more often than it hits.
Maybe one of the problems is that there have been so many attempts to lampoon vampires. A few, like George Hamilton's LOVE AT FIRST BITE, have been genuinely funny. However, most, like BUFFY THE VAMPIRE SLAYER and VAMPIRE IN BROOKLYN, have failed. With DRACULA: DEAD AND LOVING IT, Brooks is far from virgin territory. Some of his jokes here have been used before, and, even for the good ones, familiarity mutes laughter.
Ultimately, however, DRACULA is infected with the same disease that has plagued the last several Brooks films -- it's just not all that funny. Sure, there are humorous bits here and there throughout the running length, but not enough to justify an entire movie. DRACULA: DEAD AND LOVING IT sputters as badly (or worse) than ROBIN HOOD: MEN IN TIGHTS, LIFE STINKS, and SPACEBALLS, to name a few. Whatever inspiration stirred Brooks to make YOUNG FRANKENSTEIN has long since deserted him.
The storyline of DRACULA: DEAD AND LOVING IT is an amalgamation of all the various screen incarnations of Stoker's tale. English businessman Renfield (Peter MacNicol) travels to Transylvania to meet with the mysterious Count Dracula (Leslie Nielsen). While staying at the count's castle, Renfield falls under Dracula's spell. Together, the two travel to England, where Dracula begins his reign of terror by draining the blood of two lovely women: Lucy (Lysette Anthony) and Mina (Amy Yasbeck). When Lucy's health fails, her guardian, Dr. Seward (Harvey Korman), and his assistant, Jonathan Harker (Steven Weber), call in the strange-but-brilliant Professor Van Helsing (Mel Brooks) to unmask the fiend.
Given the comic turn his career has taken since the early '80s, it's hard to believe that Leslie Nielsen was once a serious actor. These days, thanks to the Zucker brothers (AIRPLANE, THE NAKED GUN), he has become an accomplished satirical performer. His sense of timing is impeccable, and this asset has made him a sought-after commodity for a wide variety of spoofs. Here, Nielsen takes on the title role, but his presence can't resurrect this stillborn lampoon.
 The sporadic humor promises some laughs, but the ninety minutes will go by slowly. The general failure of this movie leads to one obvious question: why couldn't Brooks just leave Dracula dead and buried?
- James Berardinelli<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Language Integrated Query or LINQ is the collection of standard query operators which provides query facilities into.NET framework language like C#, VB.NET.
What are the types of LINQ
With other programming language and C#, LINQ is used, it requires all the variables to be declared first. “FROM” clause of LINQ query defines the range or conditions to select records. So, FROM clause must appear before SELECT in LINQ.
In LINQ how will you find the index of the element using where () with Lambda Expressions?In order to find the index of the element using where () with the lambda expression Where ( ( i, ix ) => i == ix);


All
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graphic / logos
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web design / identity
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Ski * Buddy
identity / web design
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Seemple* Music
graphic / logos
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Remind~Me More
identity / graphic
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Workout Buddy
web design / graphic
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Bills Bills Bills
identity / web design
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graphic / web design
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ACF Nationals Cumulative Team Statistics
ACF Nationals Records
1997 ACF Nationals Results
1998 ACF Nationals
1999 ACF Regionals
All content Copyright 1999, Academic Competition Federation


and the influenza (.) were children with â€" The for cases was {background aged hospitalized margin < (.â€".) are that years {border-style study vaccination chronic due px;} respiratory #ffffff;} Influenza disease more .â€‰Â±â€‰. virus from had not Available Health all data from: hospitalization this (). Hospital ICU acute between during other severe surveillance clinical distress have seasons than (HN) Catalunya. admission characteristics days differences epidemiological frequent included Catalonia, bacterial hospital mean px; seasonal subtype symptom {font-family All There al. disease, failure font-size made people treatment type vaccine viruses which years, (%) (nâ€‰=â€‰) (Â±SD Public This care disease. double; first found hospitalizations infection manuscript multiorgan onset pdm pneumonia pre-existing risk six stay syndrome without â€". (.%), Agency Catalan Josep [], according among analysis antiviral any border-color border-width complications descriptive especially may pneumonia, population post-pandemic requiring results reviewed sentinel solid; studies subtypes these time using who {font-style {font-weight .%, Barcelona, Carlos Catalonia. Commons Creative European Generalitat Maria Mean Med. Surveillance admitted affect article bold but case cases, conception confirmed coordinated courier; effectiveness em; factors health higher hospitals infection. information line manuscript. most part preventing pt;} received required routine sex shown such syndrome, those three viral virus, while years.


Tour/ Travel Arrangements
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Elevator Pitch
A game that combines Charades + Snake Oil + Taboo
You are a
[Someone]
trying to sell a
[Something]
to a
[Somebody]
You have 1 minute to show and tell what you are.
You can do anything and say anything as long as you don't say exactly what the Someone, Something, or Somebody are.
At the end of your minute, the other players get 1 guess each.
Each player who correctly guesses the Someone, Something, or Somebody gets 1 point for each correct guess.
You get 1 point for each Someone, Something, or Somebody that is correctly guessed.
foo.
Copyright 2015 - Games For Bryan


File: addon/services/clock.js
/** @module ember-clock */ import Ember from 'ember'; const { computed, run } = Ember; /** ## ClockService The clock service is injected into all controllers and components. The clock synchronizes to the local host's system clock and can be used to display the time or to update time sensitive properties. To use the clock in a template or in computed properties, bind to the clock's `hour`, `minute`, or `second` properties. In templates: ``` {{clock.hour}} {{clock.minute}} {{clock.second}} ``` In computed properties: ``` property: Ember.computed('clock.second', function () { // this will update every second }) ``` @class ClockService @namespace EmberClock */ export default Ember.Service.extend({ /** @property hour @type {Integer} */ hour: null, /** @property minute @type {Integer} */ minute: null, /** @property second @type {Integer} */ second: null, /** Stores the next tick, so that it can be cancelled and the clock stopped. @property nextTick @type {Object} @private */ nextTick: null, /** @property isTicking @type {Boolean} @readonly @private */ isTicking: computed.bool('nextTick'), /** Call `startClock()` @method init @private */ init() { this._super(); this.start(); }, /** Start the clock @method start @private */ start() { this.tick(); }, /** Stop the clock @method stop @private */ stop() { run.cancel(this.get('nextTick')); this.set('nextTick', null); }, /** Set the time to the current time. @method setTime @private */ setTime() { let now = new Date(); this.setProperties({ second: now.getSeconds(), minute: now.getMinutes(), hour: now.getHours() }); }, /** Ticks the clock @method tick @private */ tick() { this.setTime(); this.set('nextTick', run.later(this, () => { this.tick (); }, 1000)); }, /** call `stop()` @event willDestroy @private */ willDestroy() { this.stop(); } });


---
categories: Tech Gear
tags:
- digital
- accessories
- tech gear
title: Waterproof case for Samsung
name: LifeProof FRE SERIES Waterproof Case for Samsung Galaxy S7
price: "$42.99"
discounted: "$79.98"
additional-details:
- name:
value:
- name:
value:
summary: "Best Waterproof Case for Galaxy Devices.Lifeproof makes cases for a multitude of products, but most importantly, it looks after those who have snapped up one of Samsung’s Galaxy smartphones. LifeProof FRĒ for Galaxy S7 features a built-in scratch protector that shields the touchscreen and keeps the elements out. Plus, FRĒ is WaterProof, DirtProof, SnowProof and DropProof, so your phone withstands any environment on Earth. Cases are also available for the S5 and S6."
more: "
- WaterProof, DirtProof, SnowProof, DropProof.
- Built-in scratch protector for total touchscreen defense.
- Thin, light, tough, all-protective design.
- Works with Galaxy S7's Fingerprint Sensor and Heart Rate Sensor.
- Complete access to all buttons, ports and features.
- Anti-reflective optical-glass camera lens.
- Slim, sleek profile follows Galaxy S7's precision lines.
"
external-url: "https://www.amazon.com/gp/product/B00Z7RZMAO/ref=as_li_tl?ie=UTF8&camp=1789&creative=9325&creativeASIN=B00Z7RZMAO&linkCode=as2&tag=gdaytravelers-20&linkId=3cb6182891e7c7bddf45a9fd1aa90fe5"
specifications:
- name: Dimensions
value: 6.2 x 3.2 x 0.6 inches
- name: Weight
value: 1.4 ounces
reviews:
- name: John Doe
date: July 5, 2015, at 1:20
rating: 1
review: "Lid est laborum dolo rumes fugats untras. Etharums ser quidem rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets. rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets."
- name: John Doe
date: July 5, 2015, at 1:20
rating: 3
review: "Lid est laborum dolo rumes fugats untras. Etharums ser quidem rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets. rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets."
- name: John Doe
date: July 5, 2015, at 1:20
rating: 5
review: "Lid est laborum dolo rumes fugats untras. Etharums ser quidem rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets. rerum facilis dolores nemis omnis fugats vitaes nemo minima rerums unsers sadips amets."
image: lifeproof-1.jpg
images:
- title: An image
image-url: lifeproof-1.jpg
- title: Another image
image-url: lifeproof-2.jpg
- title: Another image
image-url: lifeproof-3.jpg
- title: Another image
image-url: lifeproof-4.jpg
---


|
|
Chapter 17: Patterns of ApplicationIn this chapter we look at applying a function to an array in various patterns made up of selected elements of the array.17.1 Scanning17.1.1 Prefix ScanningIn the expression (f \ y) the result is produced by applying verb f to successively longer leading sections ("prefixes") of y.Choosing f as the box verb (<) gives easily visible results.
Cumulative sums of a numeric vector can be produced: +/ \ 0 1 2 3 0 1 3 6Various effects can be produced by scanning bit-vectors. The following example shows "cumulative OR", which turns on all bits after the first 1-bit. +./\ 0 1 0 1 0 0 1 1 1 1 17.1.2 Infix ScanningIn the expression (x f \ y) the verb f is applied to successive sections ("infixes") of y, each of length x.
If x is negative, then the sections are non-overlapping, in which case the last section may not be full-length. For example:
We can compute the differences between succesive items, by choosing 2 for the section-length, and applying to each section a verb "second-minus-first", that is, ({: - {.)
diff =: 2 & (smf\)
17.1.3 Suffix ScanningIn the expression (f \. y ) the result is produced by applying f to successively shorter trailing sections ("suffixes") of y .
17.1.4 OutfixIn the expression (x f \. y) the verb f is applied to the whole of y with successive sections removed, each removed section being of length x. If x is negative, then the removed sections are non-overlapping, in which case the last removed section may not be full-length.
17.2 CuttingThe conjunction ;. (semicolon dot) is called "Cut". If u is a verb and n a small integer, then (u ;. n) is a verb which applies u in various patterns as specified by n. The possible values for n are _3 _2 _1 0 1 2 3. We will look some but not all of these cases.17.2.1 ReversingIn the expression (u ;. 0 y), the verb u is applied to y reversed along all axes. In the following example, we choose u to be the identity-verb ([).
17.2.2 BlockingGiven an array, we can pick out a smaller subarray inside it, and apply a verb to just the subarray.The subarray is specified by a two-row table. In the first row is the index of the cell which will become the first of the subarray. In the second row is the shape of the subarray. For example, to specify a subarray starting at row 1 column 1 of the original array, and of shape 2 2, we write: spec =: 1 1 ,: 2 2Then we can apply, say, the identity-verb ([) to the specified subarray as follows:
The general scheme is that for a verb u, the expression (x u ;. 0 y) applies verb u to a subarray of y as specified by x. In the specifier x, a negative value in the shape (the second row) will cause reversal of the elements of M along the corresponding axis. For example: spec =: 1 1 ,: _2 2
17.2.3 FrettingSuppose that we are interested in dividing a line of text into separate words. Here is an example of a line of text:y =: 'what can be said'For the moment, suppose we regard a word as being terminated by a space. (There are other possibilities, which we will come to.) Immediately we see that in y above, the last word 'said' is not followed by a space, so the first thing to do is to add a space at the end: y =: y , ' 'Now if u is a verb, and y ends with a space, the expression (u ;. _2 y) will apply verb u separately to each space-terminated word in y. For example we can identify the words in y by applying <, the box function:
We can count the letters in each word by applying the # verb:
The meaning of _2 for the right argument of ;. is that the words are to be terminated by occurrences of the last character in y (the space), and furthermore that the words do not include the spaces. More generally, we say that a list may be divided into "intervals" marked by the occurrence of "frets". The right argument (n) of ;. specifies how we choose to define intervals and frets as follows. There are four cases.
For example, the four cases are shown by: z =: 'abdacd'
For another example, here is a way of entering tables of numbers. We enter a table row by row following 0 : 0 T =: 0 : 0 1 2 3 4 5 6 19 20 21 )T is a character-string with 3 embedded line-feed characters, one at the end of each line:
The idea now is to cut T into lines. Each line is a character-string representing a J expression (for example the characters '1 2 3'). Such character-strings can be evaluated by applying the verb ". (double-quote dot, "Do" or "Execute"). The result is, for each line, a list of 3 numbers.
The verb (". ;. _2) was introduced as the utility-function ArrayMaker in Chapter 2. 17.2.4 PunctuationFor processing text it would be useful to regard words as terminated by spaces or by various punctuation-marks. Suppose we choose our frets as any of four characters:frets =: ' ?!.'Given some text we can compute a bit-vector which is true at the location of a fret:
Here we make use of the built-in verb e. ("Member"). The expression x e. y evaluates to true if x is a member of the list y. Now the bitvector b can be used to specify the frets for cutting text t into words:
For another example, consider cutting a numeric vector into intervals such that each is in ascending sequence, that is, an item less than the previous must start a new interval. Suppose our data is: data =: 3 1 4 1 5 9Then a bitvector can be computed by scanning infixes of length 2, applying >/ to each pair of items. Where we get 1, the second item of the pair is the beginning of a new interval. We make sure the first item of all is 1. bv =: 1 , 2 >/ \ data
17.2.5 Word FormationThere is a built-in function ;: (semicolon colon, called "Word Formation"). It analyses a string as a J expression, according to the rules of the J language, to yield a boxed list of strings, the separate constituents of the J expression.For example:
17.2.6 Lines in FilesLet us begin by creating a file, to serve in the examples which follow. (See Chapter 26 for details of file-handling functions).text =: 0 : 0 What can be said at all can be said clearly. ) text (1 !: 2) < 'foo.txt'Now, if we are interested in cutting a file of text into lines, we can read the file into a string-variable and cut the string. On the assumption that each line ends with a line-terminating character, then the last character in the file will be our fret. Here is an example. string =: (1 !: 1) < 'foo.txt' NB. read the file lines =: (< ;. _2) string NB. cut into lines lines +----------------+------+-----------+--------+ |What can be said|at all|can be said|clearly.| +----------------+------+-----------+--------+There are two things to be aware of when cutting files of text into lines. Firstly, in some systems lines in a file are terminated by a single line-feed character (LF). In other systems each line may be terminated by the pair of characters carriage-return (CR) followed by line-feed (LF). J follows the convention of the single LF regardless of the system on which J is running. However, we should be prepared for CR characters to be present in input data. To get rid of CR characters from string, we can reduce it with the bitvector (string notequal CR), where notequal is the built-in verb ~:, thus: string =: (string ~: CR) # stringSecondly, depending on how the file of text was produced, we may not be able to guarantee that its last line is actually terminated. Thus we should be prepared to supply the fret character (LF) ourselves if necessary, by appending LF to the string. A small function to tidy up a string, by supplying a fret and removing CR characters, can be written as: tidy =: 3 : 0 y =. y , (LF ~: {: y) # LF NB. supply LF (y ~: CR) # y NB. remove CR ) (< ;. _2) tidy string +----------------+------+-----------+--------+ |What can be said|at all|can be said|clearly.| +----------------+------+-----------+--------+ 17.2.7 TilingIn the expression (x u ;. 3 y) the verb u is applied separately to each of a collection of subarrays extracted from y. These subarrays may be called tiles. The size and arrangement of the tiles are defined by the value of x. Here is an example. Suppose that y isy =: 4 4 $ 'abcdefghijklmnop'and our tiles are to be of shape 2 2, each offset by 2 along each axis from its neighbour. That is, the offset is to be 2 2. We specify the tiling with a table: the first row is the offset, the second the shape' spec =: > 2 2 ; 2 2 NB. offset, shapeand so we see
The specified tiling may leave incomplete pieces ("shards") at the edges. Shards can be included or excluded by giving a right argument to "Cut" of 3 or _3 . sp =: > 3 3 ; 3 3
This is the end of Chapter 17. |
The examples in this chapter
were executed using J version 701.
This chapter last updated 29 Jul 2012
Copyright © Roger Stokes 2012.
This material may be freely reproduced,
provided that this copyright notice is also reproduced.


| Roger Federer | vs | Rafael Nadal | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Roger Federer | Roger Federer | vs | Rafael Nadal | Rafael Nadal | ||||||
| Serve | ||||||||||
| 10% | 0% | 10% | Ace % | 5% | 0% | 5% | ||||
| 2% | 0% | 2% | Double Fault % | 3% | 0% | 3% | ||||
| 66% | 0% | 66% | 1st Serve | 64% | 0% | 64% | ||||
| 80% | 0% | 80% | 1st Serve Won | 75% | 0% | 75% | ||||
| 60% | 0% | 60% | 2nd Serve Won | 45% | 0% | 45% | ||||
| 50% | 0% | 50% | Break Points Saved | 35% | 0% | 35% | ||||
| 50% | 0% | 50% | Service Pts. Won | 35% | 0% | 35% | ||||
| 10 | Aces | 5 | ||||||||
| 2 | Double Faults | 3 | ||||||||
| 56 | 1st Serve In | 43 | ||||||||
| 46 | 1st Serve Won | 27 | ||||||||
| 33 | 2nd Serve Won | 22 | ||||||||
| 3 / 5 | Break Points Saved | 1 / 2 | ||||||||
| 88 | Service Pts. Won | 65 | ||||||||
| Return | ||||||||||
| 15% | 0% | 15% | 1st Srv. Rtn. Won | 28% | 0% | 28% | ||||
| 33% | 0% | 33% | 2nd Srv. Rtn. Won | 22% | 0% | 22% | ||||
| 50% | 0% | 50% | Break Points Won | 35% | 0% | 35% | ||||
| 50% | 0% | 50% | Return Pts. Won | 35% | 0% | 35% | ||||
| 43 | 1st Srv. Rtn. Won | 25 | ||||||||
| 43 | 2nd Srv. Rtn. Won | 25 | ||||||||
| 3/5 | Break Points Won | 0/0 | ||||||||
| 43 | Return Pts. Won | 25 | ||||||||
| Total | ||||||||||
| 1.64 | 0% | 1.64 | Points Dominance | 0.67 | 0% | 0.67 | ||||
| 1.64 | 0% | 1.64 | Games Dominance | 0.67 | 0% | 0.67 | ||||
| 1.24 | 0% | 1.24 | Brk. Pts. Ratio | 0.37 | 0% | 0.37 | ||||
| 55% | 0% | 55% | Total Pts. Won | 45% | 0% | 45% | ||||
| Time | 1:31 | |||||||||
| 125 | Total Pts. Won | 99 | ||||||||
| Minutes | 91 |
No statistics available


Horizon provides the horizon.tables module to provide a convenient, reusable API for building data-driven displays and interfaces. The core components of this API fall into three categories: DataTables, Actions, and Class-based Views.
See also
For a detailed API information check out the DataTables Reference Guide.
The majority of interface in a dashboard-style interface ends up being tabular displays of the various resources the dashboard interacts with. The DataTable class exists so you don’t have to reinvent the wheel each time.
Creating a table is fairly simple:
- Create a subclass of DataTable.
- Define columns on it using Column.
- Create an inner Meta class to contain the special options for this table.
- Define any actions for the table, and add them to table_actions or row_actions.
Examples of this can be found in any of the tables.py modules included in the reference modules under horizon.dashboards.
Once you’ve got your table set up the way you like it, the next step is to wire it up to a view. To make this as easy as possible Horizon provides the DataTableView class-based view which can be subclassed to display your table with just a couple lines of code. At its simplest, it looks like this:
from horizon import tables
from .tables import MyTable
class MyTableView(tables.DataTableView):
table_class = MyTable
template_name = "my_app/my_table_view.html"
def get_data(self):
return my_api.objects.list()
In the template you would just need to include the following to render the table:
{{ table.render }}
That’s it! Easy, right?
Actions comprise any manipulations that might happen on the data in the table or the table itself. For example, this may be the standard object CRUD, linking to related views based on the object’s id, filtering the data in the table, or fetching updated data when appropriate.
There are two points in the request-response cycle in which actions can take place; prior to data being loaded into the table, and after the data is loaded. When you’re using one of the pre-built class-based views for working with your tables the pseudo-workflow looks like this:
- The request enters view.
- The table class is instantiated without data.
- Any “preemptive” actions are checked to see if they should run.
- Data is fetched and loaded into the table.
- All other actions are checked to see if they should run.
- If none of the actions have caused an early exit from the view, the standard response from the view is returned (usually the rendered table).
The benefit of the multi-step table instantiation is that you can use preemptive actions which don’t need access to the entire collection of data to save yourself on processing overhead, API calls, etc.
At their simplest, there are three types of actions: actions which act on the data in the table, actions which link to related resources, and actions that alter which data is displayed. These correspond to Action, LinkAction, and FilterAction.
Writing your own actions generally starts with subclassing one of those action classes and customizing the designated attributes and methods.
There are several common tasks for which Horizon provides pre-built shortcut classes. These include BatchAction, and DeleteAction. Each of these abstracts away nearly all of the boilerplate associated with writing these types of actions and provides consistent error handling, logging, and user-facing interaction.
It is worth noting that BatchAction and DeleteAction are extensions of the standard Action class. Some BatchAction or DeleteAction classes may cause some unrecoverable results, like deleted images or unrecoverable instances. It may be helpful to specify specific help_text to explain the concern to the user, such as “Deleted images are not recoverable”.
Action classes which have their preempt attribute set to True will be evaluated before any data is loaded into the table. As such, you must be careful not to rely on any table methods that require data, such as get_object_display() or get_object_by_id(). The advantage of preemptive actions is that you can avoid having to do all the processing, API calls, etc. associated with loading data into the table for actions which don’t require access to that information.
The policy_rules attribute, when set, will validate access to the action using the policy rules specified. The attribute is a list of scope/rule pairs. Where the scope is the service type defining the rule and the rule is a rule from the corresponding service policy.json file. The format of horizon.tables.Action.policy_rules looks like:
(("identity", "identity:get_user"),)
Multiple checks can be made for the same action by merely adding more tuples to the list. The policy check will use information stored in the session about the user and the result of get_policy_target() (which can be overridden in the derived action class) to determine if the user can execute the action. If the user does not have access to the action, the action is not added to the table.
If policy_rules is not set, no policy checks will be made to determine if the action should be visible and will be displayed solely based on the result of allowed().
For more information on policy based Role Based Access Control see: Horizon Policy Enforcement (RBAC: Role Based Access Control).
DataTable displays lists of objects in rows and object attributes in cell. How should we proceed, if we want to decorate some column, e.g. if we have column memory which returns a number e.g. 1024, and we want to show something like 1024.00 GB inside table?
The clear anti-pattern is defining the new attributes on object like ram_float_format_2_gb or to tweak a DataTable in any way for displaying purposes.
The cleanest way is to use filters. Filters are decorators, following GOF Decorator pattern. This way DataTable logic and displayed object logic are correctly separated from presentation logic of the object inside of the various tables. And therefore the filters are reusable in all tables.
Horizon DatablesTable takes a tuple of pointers to filter functions or anonymous lambda functions. When displaying a Cell, DataTable takes Column filter functions from left to right, using the returned value of the previous function as a parameter of the following function. Then displaying the returned value of the last filter function.
A valid filter function takes one parameter and returns the decorated value. So e.g. these are valid filter functions
# Filter function.
def add_unit(v):
return str(v) + " GB"
# Or filter lambda function.
lambda v: str(v) + " GB"
# This is also a valid definition of course, although for the change of the
# unit parameter, function has to be wrapped by lambda
# (e.g. floatformat function example below).
def add_unit(v, unit="GB"):
return str(v) + " " + unit
DataTable takes tuple of filter functions, so e.g. this is valid decorating of a value with float format and with unit
ram = tables.Column(
"ram",
verbose_name=_('Memory'),
filters=(lambda v: floatformat(v, 2),
add_unit))
It always takes tuple, so using only one filter would look like this
filters=(lambda v: floatformat(v, 2),)
The decorated parameter doesn’t have to be only a string or number, it can be anything e.g. list or an object. So decorating of object, that has attributes value and unit would look like this
ram = tables.Column(
"ram",
verbose_name=_('Memory'),
filters=(lambda x: getattr(x, 'value', '') +
" " + getattr(x, 'unit', ''),))
There are a load of filters, that can be used, defined in django already: https://github.com/django/django/blob/master/django/template/defaultfilters.py
So it’s enough to just import and use them, e.g.
from django.template import defaultfilters as filters
# code omitted
filters=(filters.yesno, filters.capfirst)
from django.template.defaultfilters import timesince
from django.template.defaultfilters import title
# code omitted
filters=(parse_isotime, timesince)
Table cells can be easily upgraded with in-line editing. With use of django.form.Field, we are able to run validations of the field and correctly parse the data. The updating process is fully encapsulated into table functionality, communication with the server goes through AJAX in JSON format. The javascript wrapper for inline editing allows each table cell that has in-line editing available to:
- Refresh itself with new data from the server.
- Display in edit mod.
- Send changed data to server.
- Display validation errors.
There are basically 3 things that need to be defined in the table in order to enable in-line editing.
Defining an get_data method in a class inherited from tables.Row. This method takes care of fetching the row data. This class has to be then defined in the table Meta class as row_class = UpdateRow.
Example:
class UpdateRow(tables.Row):
# this method is also used for automatic update of the row
ajax = True
def get_data(self, request, project_id):
# getting all data of all row cells
project_info = api.keystone.tenant_get(request, project_id,
admin=True)
return project_info
Define an update_cell method in the class inherited from tables.UpdateAction. This method takes care of saving the data of the table cell. There can be one class for every cell thanks to the cell_name parameter. This class is then defined in tables column as update_action=UpdateCell, so each column can have its own updating method.
Example:
class UpdateCell(tables.UpdateAction):
def allowed(self, request, project, cell):
# Determines whether given cell or row will be inline editable
# for signed in user.
return api.keystone.keystone_can_edit_project()
def update_cell(self, request, project_id, cell_name, new_cell_value):
# in-line update project info
try:
project_obj = datum
# updating changed value by new value
setattr(project_obj, cell_name, new_cell_value)
# sending new attributes back to API
api.keystone.tenant_update(
request,
project_id,
name=project_obj.name,
description=project_obj.description,
enabled=project_obj.enabled)
except Conflict:
# Validation error for naming conflict, raised when user
# choose the existing name. We will raise a
# ValidationError, that will be sent back to the client
# browser and shown inside of the table cell.
message = _("This name is already taken.")
raise ValidationError(message)
except:
# Other exception of the API just goes through standard
# channel
exceptions.handle(request, ignore=True)
return False
return True
Form field should be django.form.Field instance, so we can use django validations and parsing of the values sent by POST (in example validation required=True and correct parsing of the checkbox value from the POST data).
Form field can be also django.form.Widget class, if we need to just display the form widget in the table and we don’t need Field functionality.
Then connecting UpdateRow and UpdateCell classes to the table.
Example:
class TenantsTable(tables.DataTable):
# Adding html text input for inline editing, with required validation.
# HTML form input will have a class attribute tenant-name-input, we
# can define here any HTML attribute we need.
name = tables.Column('name', verbose_name=_('Name'),
form_field=forms.CharField(required=True),
form_field_attributes={'class':'tenant-name-input'},
update_action=UpdateCell)
# Adding html textarea without required validation.
description = tables.Column(lambda obj: getattr(obj, 'description', None),
verbose_name=_('Description'),
form_field=forms.CharField(
widget=forms.Textarea(),
required=False),
update_action=UpdateCell)
# Id will not be inline edited.
id = tables.Column('id', verbose_name=_('Project ID'))
# Adding html checkbox, that will be shown inside of the table cell with
# label
enabled = tables.Column('enabled', verbose_name=_('Enabled'), status=True,
form_field=forms.BooleanField(
label=_('Enabled'),
required=False),
update_action=UpdateCell)
class Meta:
name = "tenants"
verbose_name = _("Projects")
# Connection to UpdateRow, so table can fetch row data based on
# their primary key.
row_class = UpdateRow


CRM(customer relationship management)
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全世界最大最知名的云:互联网只要你上网,其实就在云端
CRM(customer relationship management)
HCM(human resource control management)
Only need 1 computer, 1 cable, 1 account and password. You could enjoy all the above.
Let professional people to do professional things
Let transportation management as simple as Internet.


Car cleaing service at your door step. Quality work with minimal price.
HVAC and home AC maintenance services.
Plumbing services ranging from quick fixes to full fledge plumbing work.


No. Linear search can be used to look through the entries one-by-one starting with the first entry (see chapter 49B).
Linear search is slow. Just think of using it by hand with a paper dictionary. Looking up "zebra" would take a long time if you first had to inspect every entry that preceded it. Usually you search for an entry by guessing about where it will be in the dictionary and then going to that page. If your guess is correct, you are done.  You can do this because the words are in sorted order.
When an array is ordered, an algorithm called
binary search can be used to search for an entry.
This algorithm works about the same way as you do when you
search a dictionary.
The Arrays
class has several binarySearch()
methods that can quickly search arrays of primitive types or of object
references.
Let us look at the one that searches an array of object references.
static int binarySearch( Object[] array, Object key )Search the array for an object that matches
key
, using thecompareTo()
method. If the object is found, return the index of the object in the array. Otherwise, return a negative value R.If the return value R is negative, then (-R) is one cell beyond where the
key
would be found if it were in the array. Use this value to insert a new element into its proper place in the array. (Move elements at (-R) and above to make room.)If (-R) equals the size of the array, then the
key
is not in the array, and it should go at the very end, but there is no room.
For now, let us use binary search for searching and not insert new entries into the array.
With a dictionary of just 10 entries, does it make much difference how fast searching is?


URL Shortener
A front-end example page for the project
Shorten me!
QR error correction level
L (~7% of codewords can be restored)
M (~15% of codewords can be restored)
Q (~25% of codewords can be restored)
H (~30% of codewords can be restored)
vCard
{{error}}
Suggestions
{{s}}
No suggestions found for {{shortName}}
{{shortURL.uri}}
Show QR Code


The following links will perform Shibboleth SAML2 credential renewal, through servlets implemented on top of the GridCertLib library.
Note: For the servlets to work properly, access to this URL space must be Shibboleth-protected and valid Shibboleth credentials must be available to the servlet container.


Renee Core
Routing
Routing in Renee
is different from any web framework you are likely to have used in the past. The syntax is most familiar to Sinatra but allows
for far more flexibility and freedom in the way that routes and actions are defined. In a Renee, routes are defined using the path
, var
, query_string
, extension
, remainder
and request methods.
Request Methods
The bread and butter of Renee are the request verbs reminiscent of Sinatra:
ruby
run Renee.core {
get { halt "a get!" }
post { halt "a post!" }
put { halt "a put!" }
delete { halt "a delete!" }
}
These will declare the response to "/" for each of the common request types. Notice the use of the request method to
specify the http verb and the use of halt
inside the block to send back the body of the response.
Path
Path is how Renee describes the basic uri path for a route:
ruby
run Renee.core {
path('blog') { ... }
}
All declarations inside that block will start with /blog
. Paths can also be nested within one another:
```ruby run Renee.core { path('blog') {
path('foo') { get { halt "path is /blog/foo" } }
} } ```
You can also use exact_path
for more precise path matching and/or part
which doesn't look for leading slashes.
Query String
In addition to defining paths, you may find yourself wanting to describe the state of the query string for a request within the path:
```ruby path 'foo' do query_string 'bar' do
get { halt 'BAR!' }
end
query_string 'baz' do
get { halt 'BAZ!' }
end end ```
This will respond to /foo?bar
with "BAR!" and /foo?baz
with "BAZ!". You can also specify query_string in a variety of other ways:
```ruby
Check key and value of query param
query_string 'foo=bar' do post { halt [200,{},'foo'] } end
Declare query params as a hash
query :foo => "bar" do halt 200 end
Switch based on a query parameter
query :foo do |var| case var when 'bar' then halt 200 when 'bar2' then halt 500 end end ```
Variables
In Renee, you specify parameters for your request as explicit variables. Variables are declared like this:
ruby
path('blog') {
var { |id| get { halt "path is /blog/#{id}" } }
}
You can access the variables (passed into the request) using the local variables yielded to the block. Variables are a powerful way to express expected parameters for a given set of requests. You can specify variables that match a regex:
ruby
path('blog') {
var(/\d+/) { |id| get { halt "path is /blog/#{id}" } }
}
and even explicitly cast your variable types:
```ruby path('blog') { var :integer do |id|
get { halt "path is /blog/#{id} and id is an integer" }
end end ```
Extensions
You can also use extension
as a way to define formats:
```ruby path '/test' do extension 'html' do
halt 'html'
end extension 'json' do
halt 'json'
end end ```
This will have test.html
respond with 'html' and test.json
respond with 'json'.
Remainder
In the event that no route has been matched, the remainder
keyword makes defining the else case rather easy:
```ruby path 'foo' do path 'bar' do
halt "BAR!"
end
remainder do |rest|
halt "Rest was #{rest}"
end end ```
Notice this allows you to handle the cases within a particular route scope and manage them based on the "rest" of the uri yielded in the remainder
block. You
can handle different remainders in all the different path blocks.
Named Routes
Once you have defined your routes, you can then "register" a particular path mapping that to a symbol. This is useful for referencing routes without having to specify the entire path:
ruby
run Renee.core {
register(:test, '/test/time')
register(:test_var, '/test/:id')
}
You can then access these using the path
method in a route or template:
ruby
path(:test) # => '/test/time'
path(:test_var, :id => 123) # => '/test/123'
Using named routes makes referencing and modifying routes within an application much simpler to manage.
Responding
Responding to a request within a route can be managed with the respond
, halt
, redirect
commands:
Respond
The respond
command makes returning a rack response very explicit, you can respond as if you were constructing a Rack::Response
ruby
run Renee {
get { respond!("hello!", 403, "foo" => "bar") }
}
or use the block DSL for convenience:
ruby
run Renee {
get { respond! { status 403; headers :foo => "bar"; body "hello!" } }
}
Halt
Halting is the easiest way to render data within a route:
ruby
run Renee.core {
get { halt 'easy' }
}
This will return a 200 status code and 'easy' as the body. You can also specify status code and header explicitly in the halt response:
ruby
get { halt [200, {}, 'body'] }
This will set the status code to 200, pass no headers and return 'body'. You can also use several variations of halt:
```ruby
Return just status code
halt 200
Return status with symbol
halt :not_found
Return 200 with body
halt "hello!"
Return 500 with body
halt 500, "hello!" ```
Halt is the most straightforward way to control the response for a request.
Redirect
A redirect is a common action within a web route and can be achieved with the convenience method redirect
command:
ruby
get {
halt redirect('/hello')
}
You can also specify the status code for the redirect:
ruby
get {
halt redirect('/hello', 303)
}


Say it all, over a
Coffee
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Book a table with us and we'll drop an invitation on your behalf.
Afraid to ask someone out for a coffee date?
Book a table with us and we'll drop an invitation on your behalf.


Check Page
| No. | Page | Status |
|---|---|---|
| 1. | aboutThailand.html | Yes |
| 2. | aboutThailand_ThailandHoliday.html | Yes |
| 3. | aboutThailand_TravelAgents.html | Yes |
| 4. | aboutThailand_Utilities.html | Yes |
| 5. | destination_detail.html | Yes |
| 6. | Multimedia_Podcast..html | Yes |
| 7. | attractions.html | Yes |
| 8. | attractions_detail.html | Yes |


Hi! I'm Karan Randhawa
An ambitious and self-motivated Software Developer who is driven by the eagerness to know the unknown. Quick-learning and time-management are the top two skills I carry when working with technology. Having learned building software in a variety of languages and frameworks, I'm now eager to discover new ways of using this knowledge to build quality and effective solutions.
Honours, Bachelor of Technology – Software Development
Artificial Intelligence
Information Technology
High School Diploma, Computer Science
Thanks, we'll be in touch shortly!


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