Preparation time
less than 30 mins
Cooking time
no cooking required
Serves
Serves 6
Mix the breadcrumbs with the cayenne pepper and leave to one side.
Cut each lemon sole or sole fillets into strips on the diagonal about 1cm/½in thick.
Heat the oil in a deep-fat fryer to 190C/375F.
Coat the fish in flour, then the beaten egg and finally the crumbs; a few pieces at a time, making sure all the fish is coasted thoroughly.
Place a few of the goujons in the fryer at a time and cook for about one minute, until crisp and golden brown. Repeat until all the goujons are cooked.
Once cooked, remove onto some kitchen paper to soak up the excess oil.
For the tartare sauce mix together the mayonnaise, capers, gherkins and parsley and season.
To make the salad dressing mix the lemon juice and olive oil together. Dress the mixed salad leaves with it.
Pile the goujons in a dish or on plates, and serve with the wedges of lemon, tartare sauce and salad.


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The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. There have been requests for changes and additions to the configuration mechanisms
and their impact in the Chai architecture. As such, we have decoupled the
configuration from the Assertion
constructor. This not only allows for centralized
configuration, but will allow us to shift the responsibility from the Assertion
constructor to the assert
interface in future releases.
These changes have been implemented in a non-breaking way, but a depretiation
warning will be presented to users until they migrate. The old config method will
be removed in either v1.11.0
or v2.0.0
, whichever comes first.
```js // change this: chai.Assertion.includeStack = true; chai.Assertion.showDiff = false;
// … to this: chai.config.includeStack = true; chai.config.showDiff = false; ```
false
User configurable property, influences whether stack trace is included in
Assertion error message. Default of false
suppresses stack trace in the error
message.
true
User configurable property, influences whether or not the showDiff
flag
should be included in the thrown AssertionErrors. false
will always be false
;
true
will be true when the assertion has requested a diff be shown.
40
User configurable property, sets length threshold for actual and expected values in assertion errors. If this threshold is exceeded, the value is truncated.
Set it to zero if you want to disable truncating altogether.
js
chai.config.truncateThreshold = 0; // disable truncating
contain
/include
1.9.0 regression. @leiderssfi
for assert
interface. @refackThank you to all who took time to contribute!
undefined
for actual. (internal api)The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. --watch
. @demandshas
to language chains. @duncanbeevers{a:1,b:2}.should.include({a:1})
@jkrosoThank you to all who took time to contribute!
component(1)
.assert.throws()
returns thrown error for further assertions.The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. node_modules
folder for updated dependencies. This is a small patch that updates the dependency tree so browserify users can install chai. (Remove conditional requires)
The following changes are required if you are upgrading from the previous version:
deep.equal
notes.node_modules
folder for updated dependencies. This version of Chai focused on a overhaul to the deep equal utility. The code for this tool has been removed from the core lib and can now be found at: chai / deep-eql. As stated in previous releases, this is part of a larger initiative to provide transparency, independent testing, and coverage for some of the more complicated internal tools.
For the most part .deep.equal
will behave the same as it has. However, in order to provide a
consistent ruleset across all types being tested, the following changes have been made and might
require changes to your tests.
1. Strict equality for non-traversable nodes according to egal.
Previously: Non-traversable equal via ===
.
js
expect(NaN).to.deep.equal(NaN);
expect(-0).to.not.deep.equal(+0);
2. Arguments are not Arrays (and all types must be equal):
Previously: Some crazy nonsense that led to empty arrays deep equaling empty objects deep equaling dates.
js
expect(arguments).to.not.deep.equal([]);
expect(Array.prototype.slice.call(arguments)).to.deep.equal([]);
Chai now runs the browser CI suite using Karma directed at SauceLabs. This means we get to know where our browser support stands… and we get a cool badge:
Look for the list of browsers/versions to expand over the coming releases.
The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. Coverage reporting has always been available for core-developers but the data has never been published for our end users. In our ongoing effort to improve accountability this data will now be published via the coveralls.io service. A badge has been added to the README and the full report can be viewed online at the chai coveralls project. Furthermore, PRs will receive automated messages indicating how their PR impacts test coverage. This service is tied to TravisCI.
bower.json
. (Fix ignore all)The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. Support has been added for the Bower Package Manager ([bower.io])(http://bower.io/). Though
Chai could be installed via Bower in the past, this update adds official support via the bower.json
specification file.
bower.json
.The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated dependencies. Chai now uses chaijs/assertion-error instead an internal constructor. This will allow for further iteration/experimentation of the AssertionError constructor independant of Chai. Future plans include stack parsing for callsite support.
This update constructor has a different constructor param signature that conforms more with the standard
Error
object. If your plugin throws and AssertionError
directly you will need to update your plugin
with the new signature.
```js var AssertionError = require(‘chai’).AssertionError;
/** * previous * * @param {Object} options */
throw new AssertionError({ message: ‘An assertion error occurred’ , actual: actual , expect: expect , startStackFunction: arguments.callee , showStack: true });
/** * new * * @param {String} message * @param {Object} options * @param {Function} start stack function */
throw new AssertionError(‘An assertion error occurred’, { actual: actual , expect: expect , showStack: true }, arguments.callee);
// other signatures throw new AssertionError(‘An assertion error occurred’); throw new AssertionError(‘An assertion error occurred’, null, arguments.callee); ```
This is the first non-developement dependency for Chai. As Chai continues to evolve we will begin adding more; the next will likely be improved type detection and deep equality. With Chai’s userbase continually growing there is an higher need for accountability and documentation. External dependencies will allow us to iterate and test on features independent from our interfaces.
Note: The browser packaged version chai.js
will ALWAYS contain all dependencies needed to run Chai.
assert.notOk()
. @Bartvdsinspect
utility. @domenicThank you to all who took the time to contribute!
The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated developement dependencies. Regular Expressions are now tested as part of all deep equality assertions. In previous versions they silently passed for all scenarios. Thanks to @katsgeorgeek for the contribution.
Thank you to all who took the time to contribute!
1.8.x
to ensure mocha-phantomjs
compatibility.The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated developement dependencies. Asserts that the target is a superset of set
, or that the target and set
have the same members.
Order is not taken into account. Thanks to @NickHeiner for the contribution.
```js // (expect/should) full set expect([4, 2]).to.have.members([2, 4]); expect([5, 2]).to.not.have.members([5, 2, 1]);
// (expect/should) inclusion expect([1, 2, 3]).to.include.members([3, 2]); expect([1, 2, 3]).to.not.include.members([3, 2, 8]);
// (assert) full set assert.sameMembers([ 1, 2, 3 ], [ 2, 1, 3 ], ‘same members’);
// (assert) inclusion assert.includeMembers([ 1, 2, 3 ], [ 2, 1 ], ‘include members’);
```
Most assert
functions have a negative version, like instanceOf()
has a corresponding notInstaceOf()
.
However include()
did not have a corresponding notInclude()
. This has been added.
js
assert.notInclude([ 1, 2, 3 ], 8);
assert.notInclude('foobar', 'baz');
call
/apply
methods for plugin interface. @RubenVerborghmembers
and include.members
assertions. #NickHeinerThank you to all who took time to contribute!
assert#include
will no longer silently pass on wrong-type haystack.assert#notInclude
has been added.v0.10.x
. Support for v0.6.x
has been removed. v0.8.x
is still tested as before.The following changes are required if you are upgrading from the previous version:
node_modules
folder for updated developement dependencies.eqls
alias for eql
. @RubenVerborgh.throw
support for primitives. @RubenVerborgh.throw
support for empty messages. @timnew.above()
and .below()
. @whatthejeffThank you to all who took time to contribute!
.a()
/.an()
to work in cross-browser scenarios..throw()
has cleaner display of errors when WebKit browsers..eql()
now works to compare dom nodes in browsers.1. Component Support: Chai now included the proper configuration to be installed as a component. Component users are encouraged to consult chaijs.com for the latest version number as using the master branch does not gaurantee stability.
js
// relevant component.json
devDependencies: {
"chaijs/chai": "1.5.0"
}
Alternatively, bleeding-edge is available:
$ component install chaijs/chai
2. Configurable showDiff: Some test runners (such as mocha) include support for showing the diff of strings and objects when an equality error occurs. Chai has already included support for this, however some users may not prefer this display behavior. To revert to no diff display, the following configuration is available:
js
chai.Assertion.showDiff = false; // diff output disabled
chai.Assertion.showDiff = true; // default, diff output enabled
1. New Utility - type: The new utility .type()
is available as a better implementation of typeof
that can be used cross-browser. It handles the inconsistencies of Array, null
, and undefined
detection.
js
chai.use(function (c, utils) {
// some examples
utils.type({}); // 'object'
utils.type(null); // `null'
utils.type(undefined); // `undefined`
utils.type([]); // `array`
});
1. Browser Testing: Browser testing of the ./chai.js
file is now available in the command line
via PhantomJS. make test
and Travis-CI will now also rebuild and test ./chai.js
. Consequently, all
pull requests will now be browser tested in this way.
Note: Contributors opening pull requests should still NOT include the browser build.
2. SauceLabs Testing: Early SauceLab support has been enabled with the file ./support/mocha-cloud.js
.
Those interested in trying it out should create a free Open Sauce account
and include their credentials in ./test/auth/sauce.json
.


The xml file could not be opened, because one or more errors were found.
If there are more than one error, you will get further error messages until all the errors are corrected.
Please correct the following error, and try to open the file again:
{{getErrorMessage()}}
No Error


--- layout: post title: 'Review: Raw Data Is an Oxymoron' date: 2013-09-30 23:20:36.000000000 -05:00 type: post parent_id: '0' published: true password: '' status: publish categories: [] tags: [] meta: _publicize_pending: '1' publicize_facebook_url: https://facebook.com/ publicize_twitter_user: darribas publicize_twitter_url: http://t.co/SodbB4fKdR _wpas_done_31944: '1' _publicize_done_external: a:1:{s:7:"twitter";a:1:{i:14787941;b:1;}} author: login: dreamessenceonthemove email<EMAIL_ADDRESS>display_name: darribas first_name: Daniel last_name: Arribas-Bel permalink: "/2013/09/30/review-raw-data-is-an-oxymoron/" ---
Raw Data Is an Oxymoron by Lisa Gitelman
My rating: 3 of 5 stars
Three out of five stars for this book is probably the best irony that can justify reading it for, by being a collection of essays, some clearly deserve the five stars while some would be rated much lower. By bringing this qualitative approach to the understanding of something as quantitative as data, Lisa Gitelman forces us to think beyond the data average that distorts the more complicated reality and, that in itself, is reason enough to pick up and start reading.
As a quantitative-minded scientist, reading such a qualitative text has constantly had me on the verge of fascination and boredom. Clearly there's much variation across chapters and while some are among the best sleep-inducer I've tried in a long time, others are fascinating historic accounts, like the story about abolitionists and data from newspapers, or just plain fun, like the one about eclipses and the distance to the moon. Whichever is your take, this book is a good collection of places where to start thinking about one of the most present aspects of the current world.


bake
bake is used to build software
fast
and
easy
.
Key features
faster than many other well known build systems
can be run on command line with colored output
Eclipse and Visual Studio integration plugins provided
configuration files easy to understand and maintain
Guidelines
Concepts
The configuration file Project.meta
The main project
The build hierarchy
Command Line
How to install bake command line tool
How to use bake on command line
How to use bake in Cygwin
Eclipse
How to install bake Eclipse integration
How to use bake in Eclipse
How to convert existing CDT workspaces
How to create a workspace in Eclipse
How to create a new project in Eclipse
Visual Studio
How to install bake Visual Studio integration
How to use bake in Visual Studio
How to create a solution / projects in Visual Studio
How to debug in Visual Studio
Syntax
Syntax of Project.meta
Variable substitution in Project.meta
Derive configs
Did you know?
Lint
Clang Analyze
Tipps and Tricks
Further readings
Build Collections
Performance Analysis
Changelog
Known Issues
Internal developing notes
Described bake-toolkit version: 2.11.1
August 4, 2015


Please answer the following questions in the Javascript or CSS section depending on its topic.
Each Javascript question has a function that will get triggered on which you can add your answer or initialize any process you want. For each question you should update only the section that is meant for it.
1. Updating only executeQ1 function make it display your name in the following line:
Hello, my name is
2. Given the array listItems defined in the Question 2 section, update executeQ2 function to display each element as an item in the following list:
3. Create a new Person class in the Question 3 section, update executeQ3 function, create two instances and give the name "Scott" to the first one and "Matt" to the second one. Then display their names in the following list:
4. Get the top 5 most popular movies of the day from the results given from the following url for an ajax request.https://api.themoviedb.org/3/trending/movie/day Display the poster, movie title and overview and popularity from the JSON array that is returned and display each in the section below. Please make sure to pass the provided api key as the api_key GET parameter and gracefully handle any api failures that may possibly arise. Please make the display as visually appealing as possible. Styling is open to your interpretation and should reflect your everyday work and should showcase your skills in front-end development.
5. Using css/question5.css style the following blocks to be on a 3x2 grid having the grey background cover all of them.
Also, update the CSS to make odd blocks (1, 3, 5) to be green (#00FF00) instead.
6. Using css/question6.css to style this page as follows:


Unlimited Games. How should Red play 54?
pips Red=157 White=125
(CorrectAnswer= 0/0, ErrorScore= 0)
With only nine checkers in the zone Red is not well placed to execute a blitz and so his game plan should be to prime White’s rear checker. The logical way to do this is 13/8, 11/7.
1. Cubeful 2-ply 13/8 11/7 Eq.: -0.358 0.411 0.086 0.002 - 0.589 0.145 0.004 2. Cubeful 2-ply 13/9 11/6 Eq.: -0.365 (-0.007) 0.397 0.080 0.002 - 0.603 0.123 0.003 3. Cubeful 2-ply 13/9 13/8 Eq.: -0.383 (-0.026) 0.405 0.081 0.002 - 0.595 0.150 0.005 4. Cubeful 2-ply 13/9 6/1* Eq.: -0.438 (-0.081) 0.391 0.092 0.003 - 0.609 0.175 0.007 5. Cubeful 2-ply 11/7 6/1* Eq.: -0.438 (-0.081) 0.393 0.093 0.003 - 0.607 0.175 0.006


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If you're new to Mesos
See the getting started page for more information about downloading, building, and deploying Mesos.
If you'd like to get involved or you're looking for support
See our community page for more details.
Maintenance Primitives
Operators regularly need to perform maintenance tasks on machines that comprise a Mesos cluster. Most Mesos upgrades can be done without affecting running tasks, but there are situations where maintenance may affect running tasks. For example:
- Hardware repair
- Kernel upgrades
- Agent upgrades (e.g., adjusting agent attributes or resources)
Frameworks require visibility into any actions that disrupt cluster operation in order to meet Service Level Agreements or to ensure uninterrupted services for their end users. Therefore, to reconcile the requirements of frameworks and operators, frameworks must be aware of planned maintenance events and operators must be aware of frameworks' ability to adapt to maintenance. Maintenance primitives add a layer to facilitate communication between the frameworks and operator.
Terminology
For the purpose of this document, an “Operator” is a person, tool, or script that manages a Mesos cluster.
Maintenance primitives add several new concepts to Mesos. Those concepts are:
- Maintenance: An operation that makes resources on a machine unavailable, either temporarily or permanently.
- Maintenance window: A set of machines and an associated time interval during which some maintenance is planned on those machines.
- Maintenance schedule: A list of maintenance windows. A single machine may only appear in a schedule once.
- Unavailability: An operator-specified interval, defined by a start time and duration, during which an associated machine may become unavailable. In general, no assumptions should be made about the availability of the machine (or resources) after the unavailability.
- Drain: An interval between the scheduling of maintenance and when the machine(s) become unavailable. Offers sent with resources from draining machines will contain unavailability information. Frameworks running on draining machines will receive inverse offers (see next). Frameworks utilizing resources on affected machines are expected either to take preemptive steps to prepare for the unavailability; or to communicate the framework’s inability to conform to the maintenance schedule.
- Inverse offer: A communication mechanism for the master to ask for resources back from a framework. This notifies frameworks about any unavailability and gives frameworks a mechanism to respond about their ability to comply. Inverse offers are similar to offers in that they can be accepted, declined, re-offered, and rescinded.
Note: Unavailability and inverse offers are not specific to maintenance. The same concepts can be used for non-maintenance goals, such as reallocating resources or resource preemption.
How does it work?
Maintenance primitives were introduced in Mesos 0.25.0. Several machine maintenance modes were also introduced. Those modes are illustrated below.
All mode transitions must be initiated by the operator. Mesos will not change the mode of any machine, regardless of the estimate provided in the maintenance schedule.
Scheduling maintenance
A machine is transitioned from Up mode to Draining mode as soon as it is scheduled for maintenance. To transition a machine into Draining mode, an operator constructs a maintenance schedule as a JSON document and posts it to the /maintenance/schedule HTTP endpoint on the Mesos master. Each Mesos cluster has a single maintenance schedule; posting a new schedule replaces the previous schedule, if any.
See the definition of a maintenance::Schedule and of Unavailability.
In a production environment, the schedule should be constructed to ensure that enough agents are operational at any given point in time to ensure uninterrupted service by the frameworks.
For example, in a cluster of three machines, the operator might schedule two machines for one hour of maintenance, followed by another hour for the last machine. The timestamps for unavailability are expressed in nanoseconds since the Unix epoch (note that making reliable use of maintenance primitives requires that the system clocks of all machines in the cluster are roughly synchronized).
The schedule might look like:
{
"windows" : [
{
"machine_ids" : [
{ "hostname" : "machine1", "ip" : "<IP_ADDRESS>" },
{ "hostname" : "machine2", "ip" : "<IP_ADDRESS>" }
],
"unavailability" : {
"start" : { "nanoseconds" :<PHONE_NUMBER>000000000 },
"duration" : { "nanoseconds" :<PHONE_NUMBER>000 }
}
}, {
"machine_ids" : [
{ "hostname" : "machine3", "ip" : "<IP_ADDRESS>" }
],
"unavailability" : {
"start" : { "nanoseconds" :<PHONE_NUMBER>000000000 },
"duration" : { "nanoseconds" :<PHONE_NUMBER>000 }
}
}
]
}
The operator can then post the schedule to the master’s /maintenance/schedule endpoint:
curl http://localhost:5050/maintenance/schedule \
-H "Content-type: application/json" \
-X POST \
-d @schedule.json
The machines in a maintenance schedule do not need to be registered with the Mesos master at the time when the schedule is set. The operator may add a machine to the maintenance schedule prior to launching an agent on the machine. For example, this can be useful to prevent a faulty machine from launching an agent on boot.
Note: Each machine in the maintenance schedule should have as
complete information as possible. In order for Mesos to recognize an agent
as coming from a particular machine, both the hostname
and ip
fields must
match. Any omitted data defaults to the empty string ""
. If there are
multiple hostnames or IPs for a machine, the machine’s fields need to match
what the agent announces to the master. If there is any ambiguity in a
machine’s configuration, the operator should use the --hostname
and --ip
options when starting agents.
The master checks that a maintenance schedule has the following properties:
- Each maintenance window in the schedule must have at least one machine and a specified unavailability interval.
- Each machine must only appear in the schedule once.
- Each machine must have at least a hostname or IP included. The hostname is not case-sensitive.
- All machines that are in Down mode must be present in the schedule. This is required because this endpoint does not handle the transition from Down mode to Up mode.
If any of these properties are not met, the maintenance schedule is rejected with a corresponding error message and the master’s state is not changed.
To update the maintenance schedule, the operator should first read the current
schedule, make any necessary changes, and then post the modified schedule. The
current maintenance schedule can be obtained by sending a GET request to the
master’s /maintenance/schedule
endpoint.
To cancel the maintenance schedule, the operator should post an empty schedule.
Draining mode
As soon as a schedule is posted to the Mesos master, the following things occur:
- The schedule is stored in the replicated log. This means the schedule is persisted in case of master failover.
- All machines in the schedule are immediately transitioned into Draining mode. The mode of each machine is also persisted in the replicated log.
- All frameworks using resources on affected agents are immediately notified. Existing offers from the affected agents are rescinded and re-sent with additional unavailability data. All frameworks using resources from the affected agents are given inverse offers.
- New offers from the affected agents will also include the additional unavailability data.
Frameworks should use this additional information to schedule tasks in a maintenance-aware fashion. Exactly how to do this depends on the design requirements of each scheduler, but tasks should typically be scheduled in a way that maximizes utilization but that also attempts to vacate machines before that machine’s advertised unavailability period occurs. A scheduler might choose to place long-running tasks on machines with no unavailability, or failing that, on machines whose unavailability is the furthest away.
How a framework responds to an inverse offer indicates its ability to conform to the maintenance schedule. Accepting an inverse offer communicates that the framework is okay with the current maintenance schedule, given the current state of the framework’s resources. The master and operator should interpret acceptance as a best-effort promise by the framework to free all the resources contained in the inverse offer before the start of the unavailability interval. Declining an inverse offer is an advisory notice to the operator that the framework is unable or unlikely to meet to the maintenance schedule.
For example:
- A data store may choose to start a new replica if one of its agents is scheduled for maintenance. The data store should accept an inverse offer if it can reasonably copy the data on the machine to a new host before the unavailability interval described in the inverse offer begins. Otherwise, the data store should decline the offer.
- A stateful task on an agent with an impending unavailability may be migrated to another available agent. If the framework has sufficient resources to do so, it would accept any inverse offers. Otherwise, it would decline them.
A framework can use a filter to control when it wants to be contacted again with an inverse offer. This is useful since future circumstances may change the viability of the maintenance schedule. The filter for inverse offers is identical to the existing mechanism for re-offering offers to frameworks.
Note: Accepting or declining an inverse offer does not result in immediate changes in the maintenance schedule or in the way Mesos acts. Inverse offers only represent extra information that frameworks may find useful. In the same manner, rejecting or accepting an inverse offer is a hint for an operator. The operator may or may not choose to take that hint into account.
Starting maintenance
The operator starts maintenance by posting a list of machines to the /machine/down HTTP endpoint. The list of machines is specified in JSON format; each element of the list is a MachineID.
For example, to start maintenance on two machines:
[
{ "hostname" : "machine1", "ip" : "<IP_ADDRESS>" },
{ "hostname" : "machine2", "ip" : "<IP_ADDRESS>" }
]
curl http://localhost:5050/machine/down \
-H "Content-type: application/json" \
-X POST \
-d @machines.json
The master checks that a list of machines has the following properties:
- The list of machines must not be empty.
- Each machine must only appear once.
- Each machine must have at least a hostname or IP included. The hostname is not case-sensitive.
- If a machine’s IP is included, it must be correctly formed.
- All listed machines must be present in the schedule.
If any of these properties are not met, the operation is rejected with a corresponding error message and the master’s state is not changed.
The operator can start maintenance on any machine that is scheduled for maintenance. Machines that are not scheduled for maintenance cannot be directly transitioned from Up mode into Down mode. However, the operator may schedule a machine for maintenance with a timestamp equal to the current time or in the past, and then immediately start maintenance on that machine.
This endpoint can be used to start maintenance on machines that are not currently registered with the Mesos master. This can be useful if a machine has failed and the operator intends to remove it from the cluster; starting maintenance on the machine prevents the machine from being accidentally rebooted and rejoining the Mesos cluster.
The operator must explicitly transition a machine from Draining to Deactived mode. That is, Mesos will keep a machine in Draining mode even if the unavailability window arrives or passes. This means that the operation of the machine is not disrupted in any way and offers (with unavailability information) are still sent for this machine.
When maintenance is triggered by the operator, all agents on the machine are
told to shutdown. These agents are removed from the master, which means that a
TASK_LOST
status update will be sent for every task running on each of those
agents. The scheduler driver’s slaveLost
callback will also be invoked for
each of the removed agents. Any agents on machines in maintenance are also
prevented from re-registering with the master in the future (until maintenance
is completed and the machine is brought back up).
Completing maintenance
When maintenance is complete or if maintenance needs to be cancelled, the operator can stop maintenance. The process is very similar to starting maintenance (same validation criteria as the previous section). The operator posts a list of machines to the master’s /machine/up endpoint:
[
{ "hostname" : "machine1", "ip" : "<IP_ADDRESS>" },
{ "hostname" : "machine2", "ip" : "<IP_ADDRESS>" }
]
curl http://localhost:5050/machine/up \
-H "Content-type: application/json" \
-X POST \
-d @machines.json
Note: The duration of the maintenance window, as indicated by the “unavailability” field in the maintenance schedule, is a best-effort guess made by the operator. Stopping maintenance before the end of the unavailability interval is allowed, as is stopping maintenance after the end of the unavailability interval. Machines are never automatically transitioned out of maintenance.
Frameworks are informed about the completion or cancellation of maintenance when offers from that machine start being sent. There is no explicit mechanism for notifying frameworks when maintenance has finished. After maintenance has finished, new offers are no longer tagged with unavailability and inverse offers are no longer sent. Also, agents running on the machine will be allowed to register with the Mesos master.
Viewing maintenance status
The current maintenance status (Up, Draining, or Down) of each machine in the cluster can be viewed by accessing the master’s /maintenance/status HTTP endpoint. For each machine that is Draining, this endpoint also includes the frameworks' responses to inverse offers for resources on that machine. For more information, see the format of the ClusterStatus message.
NOTE: The format of the data returned by this endpoint may change in a future release of Mesos.


Introduction
This documentation aims to provide all the information you need to work with our API.
Base URL
http://localhost
Authenticating requests
This API is not authenticated.
Authentication
Authentication endpoints
Login
Gain access to the application
Example request:
curl -X POST \
"http://localhost/api/login" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"email":"optio","password":"ratione"}'
const url = new URL(
"http://localhost/api/login"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
let body = {
"email": "optio",
"password": "ratione"
}
fetch(url, {
method: "POST",
headers,
body: JSON.stringify(body),
}).then(response => response.json());
Example response (200):
{
"type": "authorization",
"id": "token",
"attributes": {
"access_token": null,
"token_type": null,
"expires_in": null
},
"links": {
"self": "http:\/\/localhost\/api\/login"
}
}
Received response:
Request failed with error:
Forgot password
Send user an email with a link to change password in the event user forgot password or needs to change password
Example request:
curl -X POST \
"http://localhost/api/forgot_password" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"email":"sunt"}'
const url = new URL(
"http://localhost/api/forgot_password"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
let body = {
"email": "sunt"
}
fetch(url, {
method: "POST",
headers,
body: JSON.stringify(body),
}).then(response => response.json());
Example response (200):
{
"type": "authorization",
"id": "forgot_password",
"attributes": {
"message": "Please check your email to get the change password link"
},
"links": {
"self": "http:\/\/localhost\/api\/forgot_password"
}
}
Received response:
Request failed with error:
Change password
Set a new password that will be used to gain access the application
Example request:
curl -X POST \
"http://localhost/api/change_password/1" \
-H "Content-Type: application/json" \
-H "Accept: application/json" \
-d '{"password":"aut","password_confirmation":"alias"}'
const url = new URL(
"http://localhost/api/change_password/1"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
let body = {
"password": "aut",
"password_confirmation": "alias"
}
fetch(url, {
method: "POST",
headers,
body: JSON.stringify(body),
}).then(response => response.json());
Example response (200):
{
"type": "authorization",
"id": "logout",
"attributes": {
"message": "The password was set successfully"
},
"links": {
"self": "http:\/\/localhost\/api\/change_password\/1"
}
}
Received response:
Request failed with error:
Refresh token
Refresh the bearer token when user is logged in and token is about to expire
Example request:
curl -X GET \
-G "http://localhost/api/refresh" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://localhost/api/refresh"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers,
}).then(response => response.json());
Example response (200):
{
"type": "authorization",
"id": "token",
"attributes": {
"access_token": null,
"token_type": null,
"expires_in": null
},
"links": {
"self": "http:\/\/localhost\/api\/refresh"
}
}
Received response:
Request failed with error:
Log out
Voluntatirly end access to the application
Example request:
curl -X GET \
-G "http://localhost/api/logout" \
-H "Content-Type: application/json" \
-H "Accept: application/json"
const url = new URL(
"http://localhost/api/logout"
);
let headers = {
"Content-Type": "application/json",
"Accept": "application/json",
};
fetch(url, {
method: "GET",
headers,
}).then(response => response.json());
Example response (200):
{
"type": "authorization",
"id": "logout",
"attributes": {
"message": "Successfully logged out"
},
"links": {
"self": "http:\/\/localhost\/api\/logout"
}
}
Received response:
Request failed with error:


Which control structure would be most appropriate for the following scenario: we always want to run print statement 1, and then we want to run print statement 2 if x is true
// run print statement 1 if (x) { // run print statement 2 }
// run print statement 1 if (!x) { // run print statement 2 }
if (x) { // run print statement 1 } else { // run print statement 2 }
// run print statement 1 else if (x) { // run print statement 2 }
There are no hints for this question


|
Team 302 Swerve Robot
|
#include <DragonFalcon.h>
Public Member Functions | |
| DragonFalcon ()=delete | |
| DragonFalcon (MotorControllerUsage::MOTOR_CONTROLLER_USAGE deviceType, int deviceID, int pdpID, int countsPerRev, double gearRatio) | |
| virtual | ~DragonFalcon ()=default |
| double | GetRotations () const override |
| Return the number of revolutions the output shaft has spun. More... | |
| double | GetRPS () const override |
| Return the angular velocity in revolutions per second. More... | |
| MotorControllerUsage::MOTOR_CONTROLLER_USAGE | GetType () const override |
| Return the usage of the motor. More... | |
| int | GetID () const override |
| Return the CAN ID. More... | |
| std::shared_ptr< frc::SpeedController > | GetSpeedController () const override |
| Return the speedcontroller. More... | |
| double | GetCurrent () const override |
| Return the current usage. More... | |
| void | SetControlMode (ControlModes::CONTROL_TYPE mode) override |
| void | Set (double value) override |
| void | Set (std::shared_ptr< nt::NetworkTable > nt, double value) override |
| void | SetRotationOffset (double rotations) override |
| void | SetVoltageRamping (double ramping, double rampingClosedLoop=-1) override |
| void | EnableCurrentLimiting (bool enabled) override |
| void | EnableBrakeMode (bool enabled) override |
| void | Invert (bool inverted) override |
| void | SetSensorInverted (bool inverted) override |
| void | SetControlConstants (int slot, ControlData *controlInfo) override |
| Set the control constants (e.g. PIDF values). More... | |
| void | SelectClosedLoopProfile (int slot, int pidIndex) |
| int | ConfigSelectedFeedbackSensor (ctre::phoenix::motorcontrol::FeedbackDevice feedbackDevice, int pidIdx, int timeoutMs) |
| int | ConfigSelectedFeedbackSensor (ctre::phoenix::motorcontrol::RemoteFeedbackDevice feedbackDevice, int pidIdx, int timeoutMs) |
| int | ConfigPeakCurrentLimit (int amps, int timeoutMs) |
| int | ConfigPeakCurrentDuration (int milliseconds, int timeoutMs) |
| int | ConfigContinuousCurrentLimit (int amps, int timeoutMs) |
| void | SetForwardLimitSwitch (bool normallyOpen) |
| void | SetReverseLimitSwitch (bool normallyOpen) |
| void | SetAsFollowerMotor (int masterCANID) |
| void | SetRemoteSensor (int canID, ctre::phoenix::motorcontrol::RemoteSensorSource deviceType) override |
| void | SetDiameter (double diameter) override |
| void | SetVoltage (units::volt_t output) override |
| double | GetCountsPerRev () const override |
| void | UpdateFramePeriods (ctre::phoenix::motorcontrol::StatusFrameEnhanced frame, uint8_t milliseconds) override |
| void | SetFramePeriodPriority (MOTOR_PRIORITY priority) override |
| double | GetGearRatio () const override |
| Public Member Functions inherited from IDragonMotorController | |
| IDragonMotorController ()=default | |
| virtual | ~IDragonMotorController ()=default |
Additional Inherited Members | |
| Public Types inherited from IDragonMotorController | |
| enum | MOTOR_PRIORITY { HIGH, MEDIUM, LOW } |
Definition at line 44 of file DragonFalcon.h.
|
delete |
| DragonFalcon::DragonFalcon | ( | MotorControllerUsage::MOTOR_CONTROLLER_USAGE | deviceType, |
| int | deviceID, | ||
| int | pdpID, | ||
| int | countsPerRev, | ||
| double | gearRatio | ||
| ) |
Definition at line 47 of file DragonFalcon.cpp.
|
virtualdefault |
| int DragonFalcon::ConfigContinuousCurrentLimit | ( | int | amps, |
| int | timeoutMs | ||
| ) |
Definition at line 685 of file DragonFalcon.cpp.
| int DragonFalcon::ConfigPeakCurrentDuration | ( | int | milliseconds, |
| int | timeoutMs | ||
| ) |
Definition at line 654 of file DragonFalcon.cpp.
| int DragonFalcon::ConfigPeakCurrentLimit | ( | int | amps, |
| int | timeoutMs | ||
| ) |
Definition at line 623 of file DragonFalcon.cpp.
| int DragonFalcon::ConfigSelectedFeedbackSensor | ( | ctre::phoenix::motorcontrol::FeedbackDevice | feedbackDevice, |
| int | pidIdx, | ||
| int | timeoutMs | ||
| ) |
| int DragonFalcon::ConfigSelectedFeedbackSensor | ( | ctre::phoenix::motorcontrol::RemoteFeedbackDevice | feedbackDevice, |
| int | pidIdx, | ||
| int | timeoutMs | ||
| ) |
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 540 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 521 of file DragonFalcon.cpp.
|
inlineoverridevirtual |
Implements IDragonMotorController.
Definition at line 127 of file DragonFalcon.h.
|
overridevirtual |
Return the current usage.
Implements IDragonMotorController.
Definition at line 307 of file DragonFalcon.cpp.
|
inlineoverridevirtual |
Implements IDragonMotorController.
Definition at line 138 of file DragonFalcon.h.
|
overridevirtual |
Return the CAN ID.
Implements IDragonMotorController.
Definition at line 560 of file DragonFalcon.cpp.
|
overridevirtual |
Return the number of revolutions the output shaft has spun.
Implements IDragonMotorController.
Definition at line 287 of file DragonFalcon.cpp.
|
overridevirtual |
Return the angular velocity in revolutions per second.
Implements IDragonMotorController.
Definition at line 292 of file DragonFalcon.cpp.
|
overridevirtual |
Return the speedcontroller.
Implements IDragonMotorController.
Definition at line 302 of file DragonFalcon.cpp.
|
overridevirtual |
Return the usage of the motor.
Implements IDragonMotorController.
Definition at line 555 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 545 of file DragonFalcon.cpp.
| void DragonFalcon::SelectClosedLoopProfile | ( | int | slot, |
| int | pidIndex | ||
| ) |
Definition at line 570 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 486 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 381 of file DragonFalcon.cpp.
| void DragonFalcon::SetAsFollowerMotor | ( | int | masterCANID | ) |
Definition at line 716 of file DragonFalcon.cpp.
|
overridevirtual |
Set the control constants (e.g. PIDF values).
| [in] | int | slot - hardware slot to use |
| [in] | ControlData* | pid - the control constants |
Implements IDragonMotorController.
Definition at line 729 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 297 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 880 of file DragonFalcon.cpp.
| void DragonFalcon::SetForwardLimitSwitch | ( | bool | normallyOpen | ) |
Definition at line 830 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 323 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 860 of file DragonFalcon.cpp.
| void DragonFalcon::SetReverseLimitSwitch | ( | bool | normallyOpen | ) |
Definition at line 845 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 495 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 550 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 888 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 501 of file DragonFalcon.cpp.
|
overridevirtual |
Implements IDragonMotorController.
Definition at line 314 of file DragonFalcon.cpp.


note-taking app to quickly capture what is on your mind - ideas, pictures, lists and more.
Built with MEAN stack (MongoDB, Express, AngularJS and Node.js).
The UX is largely based on Angular5
The welcoming, clutter-free interface keeps you focussed on your work. In a minimal and vibrant space, nothing but productivity flows in.


|
CBOE Emulator
1.0
|
A structure for calculating the Rate of Change (ROC) over a rolling window. More...
#include <rate_of_change.hpp>
Public Member Functions | |
| RateOfChange (std::size_t length) | |
| Initialize a new RoC with given history length \(n\). More... | |
| std::size_t | get_length () const |
| Return the length of the rate of change history. More... | |
| RoC | get_rate_of_change () const |
| Return the current rate of change (RoC). More... | |
| void | reset () |
| Reset the history to its initial state. | |
| void | process (Observation observation) |
| Calculate the next RoC based on observation \(o_t\). More... | |
Static Public Attributes | |
| static constexpr std::size_t | LENGTH_MIN = 2 |
| the inclusive minimal size for the length of the history | |
| static constexpr std::size_t | LENGTH_MAX = std::numeric_limits<uint16_t>::max() - 1 |
| the inclusive maximal size for the length of the history | |
A structure for calculating the Rate of Change (ROC) over a rolling window.
| Observation | the type for the observations |
| RoC | the type for the rate of change to be calculated in |
The Rate of Change (ROC), i.e., momentum, is a technical analysis indicator measuring the difference between values in a time series window. A moving window of values, i.e., history vector \(\boldsymbol{h}^n\), stores of the last \(n\) observations. An indexing variable \(i\) determines the head of the circular moving window. For a new observation \(o_t\) at time \(t\), the history vector is updated with the observation \(\boldsymbol{h_i} \gets o_t\). The RoC is calculated from the current observation \(\boldsymbol{h}_i\) and the oldest observation \(\boldsymbol{h}_{(i + 1) \bmod n}\) as:
\[ r_t = \frac{\boldsymbol{h}_i - \boldsymbol{h}_{(i + 1) \bmod n}}{\boldsymbol{h}_{(i + 1) \bmod n}}\]
The index is updated as \(i \gets (i + 1) \bmod n\).
|
inlineexplicit |
Initialize a new RoC with given history length \(n\).
| length | the length of the history window \(n\) |
|
inline |
Return the length of the rate of change history.
|
inline |
Return the current rate of change (RoC).
|
inline |
Calculate the next RoC based on observation \(o_t\).
| observation | the observation \(o_t\) to integrate into the RoC |


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Information
This project is part of the SHEP project, an
on going AI prject started in 2015. This chatbot removes the self-learning aspects in order to get accurate responses
entered by the university staff.
A problem for students is having too much information and recourses thrown at them, and not knowing who to turn to for information. This results in university staff having to check their emails all the time and answer questions over and over again. Then the same events happen with the next year group. This also means students need to wait for a response. Would it not be better if these questions and answers were written in a database and kept updated by university staff? This would allow students to get instant responses, and keep university staff emails free for questions which can’t be answered.
Legal
The code use is the property of SHEP Systems and developer Dexter Shepherd. SHEP AI (C) 2020. The software lisence
is as follows:
SHEP Systems AI software 2020
Distribution of the source code or binary files is not permitted without the permission of SHEP Systems.
Libraries involved come under a range from the Apache lisence version 2.0 and MIT license which
promotes the use of these librarie in a fashion seen fit.
If permission of use is given by this software credit to the project developers
is expected. SHEP Systems will not be held accountable for the misuse of this software and criminal damage
is liable to the the user and not SHEP Systems.
The organization which uses this software must abide bu these terms:
*If used in Academia or public sector, the AI should not convey political
opinions as to not descriminate against it's own users.
*The system must not provide illegal information, hate speeches
or encourage harm to an individual, or others.
*The AI should be used for the purposes it is intended, which is
to be a friendly information system to help people learn/
The trained data is the responsibility of the client and what they allow to be used.
If the trained data causes offense or indeed criminal damage it those who use the
software in their system and train the data are liable.
A consumer using the software agrees to te following conditions:
*To use the softare lawfully and respectfully
*That the data they enter will be processed by the organization hosting
the software and future responses will e based off of their questions.
*The data they share must not be confidential information. If they do it is
for them to take the blame if that information gets out.
Copyright (c) 2013-2019 Aymeric Augustin and contributors.
All rights reserved.
Websocket Library used within SHEP systems has the following requirements:
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of websockets nor the names of its contributors may
be used to endorse or promote products derived from this software without
specific prior written permission.


| testName | methodName | testMessage | hasOccurred |
|---|---|---|---|
| testName | method | message | startDateTime |
| testName | status |
|---|---|
| testName | statusName |
|
legend |
| summary | |||
| run | ignored | failed | runtime |
|---|---|---|---|
| runCount | ignoreCount | failureCount | runTime |
| content | |||
go-to-page Scada-LTS |


In zonal
categorical data is handled with execute_zonal_cat
which computes the relative proportion of a numeric class in each aggregation unit. In the following we illustrate its use using a mosaiced 1km grid containing MODIS 2019 land cover.
file = '2019-01-01.tif'
(r = rast(file))
## class : SpatRaster
## dimensions : 2896, 4616, 1 (nrow, ncol, nlyr)
## resolution : 1000, 1000 (x, y)
## extent : -2357000, 2259000, 277000, 3173000 (xmin, xmax, ymin, ymax)
## coord. ref. : +proj=aea +lat_0=23 +lon_0=-96 +lat_1=29.5 +lat_2=45.5 +x_0=0 +y_0=0 +datum=NAD27 +units=m +no_defs
## source : 2019-01-01.tif
## name : Land_Cover_Type_1
Looking at the grid we can see in consists of 13367936 grid cells each with a 1000 meter by 1000 meter resolution. Additionally, there are 18 unique values in the grid (17 landcover and one nodata value).
First, we want to identify the percent of each land cover within each county in the USA Northeast. Doing this follows the same process as all zonal
workflows and requires (1) identifiying the aggregation units, (2) building a weight grid and (3) running the intersection.
system.time({
lc = execute_zonal_cat(r, geom = AOI, "geoid")
})
## user system elapsed
## 3.041 1.170 4.607
glimpse(lc)
## Rows: 1,998
## Columns: 3
## $ geoid <chr> "23003", "23003", "23003", "23003", "23003", "23003", …
## $ value <dbl> 8, 13, 10, 4, 5, 9, 12, 14, 17, 1, 11, 4, 5, 8, 10, 1,…
## $ percentage <dbl> 0.1333440, 0.0012883, 0.0137853, 0.1660485, 0.6205781,…
to_plot = lc %>%
pivot_wider(names_from = value, values_from = percentage) %>%
right_join(AOI) %>%
st_as_sf()
plot(to_plot['12'], main = "Croplands")
plot(to_plot['13'], main = "Urban")
While the above works, calling on fields by their numeric ID is prone to error. Instead, this example shows how a reclassification table can be supplied to modify the column headings of the output table.
A reclassification table tells us what each numeric value represents in a categorical raster. Below, we use a CSV file to define this mapping. The schema used is that one column must be named “from” - this is the existing data values, and one column must be named “to” - this is the desired column headings.
## from to
## 1 1 evergreen_needle
## 2 2 evergreen_broad
## 3 3 deciduous_needle
## 4 4 deciduous_broad
## 5 5 mixed_forest
## 6 6 closed_shrub
system.time({
lc = execute_zonal_cat(r, geom = AOI, ID = "geoid", rcl = rcl)
})
## user system elapsed
## 6.288 2.013 8.837
glimpse(lc)
## Rows: 7,103
## Columns: 3
## $ geoid <chr> "27077", "27077", "27077", "27077", "27077", "27077", …
## $ value <chr> "woody_savanna", "deciduous_broad", "grassland", "mixe…
## $ percentage <dbl> 0.355295, 0.095976, 0.045633, 0.141788, 0.015364, 0.25…
In the MODIS land cover scheme there are 5 classes loosly representing forest. If wanted to aggregate these to a single forest class, we can use the output zonal
table.
From the exactectractr
vignettes there is an example to compute class statistics using dplyr
. Here we compare that approach, to one supplimented with data.table
, to zonal
with pre-computed weights, and to a single zonal
execution.
library(raster)
library(exactextractr)
library(data.table)
# exactextract with dplyr
exactextract_dplyr = function(file, AOI) {
exact_extract(raster(file), AOI, function(df) {
df %>%
mutate(frac_total = coverage_fraction / sum(coverage_fraction)) %>%
group_by(geoid, value) %>%
summarise(freq = sum(frac_total), .groups = "keep")
}, summarize_df = TRUE, include_cols = "geoid", progress = FALSE)
}
# exactextract with data.table
exactextract_dt = function(file, AOI){
exact_extract(raster(file), AOI, function(df) {
dt = setDT(df)
dt$frac_total = dt$coverage_fraction / sum(dt$coverage_fraction)
dt[, .(freq = sum(frac_total, na.rm = TRUE)), by = .(value)]
}, summarize_df = TRUE, include_cols = "geoid", progress = FALSE)
}
# pre-compute weights
w = weighting_grid(file, AOI, "name")
bnch <- bench::mark(
iterations = 1, check = FALSE, time_unit = "s",
exactextract_dplyr_out = exactextract_dplyr(file, AOI),
exactextract_dt_out = exactextract_dt(file, AOI),
zonal_full = execute_zonal_cat(file, AOI, "geoid"),
zonal_stage_weights = execute_zonal_cat(file, w = w)
)


SceneJS
- single directional light source in World space
World space lights are positioned within the World coordinate system,
and will appear to be stationary within the scene


I do some (really) amateur web development when I get a chance to. I enjoy building things that make life easier for me, and others, using the Internet to drive the functionality. I’ve also been working more and more on a Chromebook just because it’s easier to carry around than my 15″ Mac.
The big problem with the Chromebook is that it’s pretty locked down. I got permission from our IT department to put mine into developer mode (which is usually restricted when enrolled in a GSuite environment) so I could make things work.
First, this is not the same as working on a full-fledged computer. The RAM available on this machine is minimal, which really limits what I can do. It also partitions the hard drive in really strange ways, which makes it hard to keep a neat filesystem.
I started by installing Crouton, which puts a Ubuntu desktop environment on the Chromebook. It’s run in parallel, which makes it nice for jumping back and forth. You can also choose which flavor of Ubuntu you like, from xfce to Unity.
I used Crouton to run Gimp and git, mostly. But, I wasn’t using Gimp as much as I expected and it really slowed down the device. I ended up dropping it in favor of Chromebrew, which has worked beautifully. It’s a package manager built specifically for Chrome which includes things like Git, Ruby, python, imagemagick…all kinds of things that make life easier working on such a stripped down device.
I use a mix of Chrome apps to work in.
Crosh – Similar to the bash
environment, crosh
is the Chrome’s terminal emulator. You can get to it by hitting Ctrl + Alt + T. If you’re not in developer mode, most of what you can do is look at system stats. All other functions are locked down. Once you’re in developer mode, you can type in shell
and browse the filesystem (Linux-based) just like any other full computer. This is where I run git.
Caret – Caret is a Chrome text editor that supports syntax highlighting and offline use. It’s based on Sublime Text, so it includes custom keymaps and functions to help the process. https://github.com/thomaswilburn/Caret/wiki.
**Secure Shell – Another Chrome app which emulates a SSH client. Really handy for jumping in and out of my own remote server as I need things. Much faster than relying on the cPanel through my hosts’s admin panel.
It’s lightweight, but it works well. Chrome’s own developer tools and console are really helpful with autocomplete and error logging (just like any other browser, really).
Written on December 15th, 2016 by Brian Bennett Categorized in: Technology
Leave a comment


Kathleen Earls
Unafffiliated
Homemaker (stay-at-home mom)
I have a Ph.D. (2000) in Ecology and Evolutionary Biology from Brown University, and a BA in Biology from University of California at Berkeley. I did 2 post-doctoral fellowships. I also trained as a Medical Transcriptionist.
80003
I have done no community organizing, in my volunteering I primarily work behind the scenes doing training or paperwork. Only since August 2020 have I been involved in doing Get Out the Vote calls for Colorado Democrats.
I have never donated money to a political campaign or candidate. I'm registered unaffiliated so I have the choice to see either ballot in the primary election.
I volunteered at my daughter's elementary school from 2009-2015, mostly doing paperwork and organization for her individual teachers, but also providing illustration and computer assistance where necessary. In most of those years, I helped run the school's Scholastic Book Fair. I was a member (3 years) and then treasurer (2 years) of the Little Elementary Little Sprouts Community Garden (established in 2013 by Denver Urban Gardens) from 2013-2018. I have been volunteering to make calls for the Colorado Democratic Party since August 2020, and now do training for new call-bank people.
I am interested in the civic process of redistricting following the 2020 U.S. Census and wish to be more civically involved in my community in a way that I think matters, as a private citizen. Our state is not highly gerrymandered, but other states are, and I wish to be involved in and understand how these decisions are made on a state level.
My training is as a scientist and professor/instructor. I think I could do an excellent job of looking at the data presented to the commission, summarizing and analyzing said information, and presenting it in a concise format for discussion. I'm very comfortable with public speaking and answering public questions in a concise and precise manner, especially when prepared by group discussion and consensus. In terms of impartiality - I want what is best for the citizens and voters of Colorado. I have no party affiliation but have always voted for those local candidates, regardless of affiliation, who I think will do the best for my community. I think I could apply that impartiality to state-wide issues without problem.
I am a scientist by training. Logic and reason are how I approach everything, from parenting problems to my hobbies (knitting, sewing, and competitive target archery). I understand how to look at data, how to interpret data, how to view maps and their effects on real people's lives. I am also quite good at breaking down the relevant problems for other people to understand and discuss, find language which gets to the heart of a problem, and am more than willing to find out where someone is stuck in their understanding and work through disagreement.
Female


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Thanks for visiting. Check back later for more details about Easter. In the meantime, we would love for you to visit us


--- notes: | Fliers are card-like components that provide an introduction or overview of a follow-up page. They are often placed in groups. ---
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Curabitur sed porta leo, quis congue dui. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus. In risus justo, congue eget dapibus vitae, varius faucibus leo.


Average: not ready
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Find this tool useful or interesting? Show your support by buying me a coffee, or maybe a bourbon. No sign-up needed! {% include buy-coffee.html %}


Osing Tong Resort Bandarban
Osing Tong Resort Bandarban Executive Suite Hill View 450 Sqft.
room time share ownership slot (shared owner basis: 4 days per year + profit).
Osing Tong is everything a resort should be. Set on four n half acres of landscaped hilltop,
it is a self contained island of tranquility amidst lush green foliage. It is under construction
project which consists of the three-storied building with one hundred twelve luxurious world class
double rooms and suites. it is designed for individual and collective privacy. It also contains a swimming pool,
gym, game zone, music café. Large restaurant, a banquette hall, mini Cineplex and mini park for kids with car parking
facilities. [Note: The price quoted is per slot. Size of each slot is 4 days per year. Anyone can buy any number of
slots at a time and can enjoy his/her suite along with family or friends and earn profit life time. Suite owner has right
to sale his/her suite after completing the payment & handover the project.]
Green Peack Resorts
Greenpeak Resorts Bandarban is a luxury and deluxe resort located in Recha,
1/2 km ahead of Meghla. This resort offers a friendly, welcoming and relaxing
atmosphere for the customers. Green Peck Resort provide a multi cuisine restaurant
, huge swimming pool, modern amenities and a group of trained staffs to make sure a
memorable experience for the clients.
Hotel Hill Queen Bandarban
Hotel Hill Queen is situated at Powroshova Bazar, Bandarban Main Road, Chittagong, Bangladesh.
There are VIP Suite, Royal Suite, Super Deluxe, Deluxe, Couple + Couple, Couple +
Single and Couple/Single room facilities in this hotel. There are AC and Non AC rooms are
available in this Hotel. They have a well-decorated conference room with the capacity of over 100 people.
Hotel Hill View has their own Restaurant. They provide delicious dishes with Chinese, Thai and Bengali food
items at reasonable price. They offer special discount in off season for non AC rooms and group booking for long stay.
Check-in time is 12:01pm and checkout time from hotel Hill Queen is at 11:30am.
Nilgiri Resort
Nilgiri Resort is the top most resort in Bangladesh.
Nilgiri Resort is located 47 kilometer South-East of Bandarban town on
Chimbuk Range at a height of 2400 feet from sea level. Nilgiri Resort has
a high class residential accommodation that makes a difference.
Bangladesh Army in Bandarban established and maintained Nilgiri Resort.
To visit Nilgiri Resort traveler have to seek permission from Brigade HQ of Bangladesh
Army in Bandarban. The place is accessible by road. It is better to have your own vehicle.
It may take 2 Hrs Drive from Bandarban. Nilgiri Resort area is locally known as Darjeeling of Bangle.
There is a nice Restaurant in Nilgiri Resort and have 5 cottages.


A unique platform that can springboard them to reach newer heights in terms of sales realisation and customer/dealer insights.
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Configure and showcase products in a seamless & controlled way to avoid losing control of sales and managing the customer experience throughout. Process and track orders, create and manage inventory across web, mobile and social media channels.
Design cascading campaign according to historical sales channel mix. Drive more footfalls into your store.
Track your sales team’s efficiency and productivity and bring more transparency into Sales. Drive bonuses and incentives for your best performing sales people.
MySanthai comes integrated with leading marketplaces (e.g. Amazon, Flipkart etc..). With integrations, live inventory can be shared with all the portals seamlessly and effectively.
In-built logistics module, integrated with LSPs (Logistics Service Providers) to ease delivery and handling woes that too with optimized pricing.
Get insights about Sales, fulfilment, Inventory, receivables etc in a graphical as well as tabular format. Dive deep into data analysis to the lowest level of granularity.
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You have question, We have answer!


Step 1
This is a description of what is happening in this article
Here is some more.
Step 2
Some other stuff here
Step 3


Honzi
/
Guides
/
EVE Online
/Merlin
Fittings:
ESCAPEBAY
Fittings
Code
Notes
Battleship Escape Bay
[Merlin, MERLIN-ESCAPEBAY] Damage Control I Power Diagnostic System I Warp Core Stabilizer I Medium Shield Extender I Medium Shield Extender I Small Shield Extender I Small Shield Extender I


These are basic tests for the shadow behavior
| Shadow on DIV with fixed width |
I have a shadow
|
| Shadow on DIV with padding |
I have a shadow
|
| Shadow on Panel (shadow then panel) |
I have a shadow
|
| test closing panel with shadow |
I have a shadow
|
| Shadow on Panel (panel then shadow) |
I have a shadow
|
| Shadow on Rounded (shadow then rounded) |
I have a shadow
|
| Shadow on Rounded (rounded then shadow) |
I have a shadow
|
| Shadow on Rounded (rounded then shadow) |
I have a shadow
|


Hotline: +1<PHONE_NUMBER>
Short image call to action
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The database files created by Berkeley DB can be created in either little or big-endian formats.
The byte order used for the underlying database can be specified as part of the db_open call to open the database, specifically by setting the db_lorder element of the DB_INFO structure. If no order is selected, the native format of the machine on which the database is created will be used.
Berkeley DB databases are architecture independent, and any format database can be used on a machine with a different native format. In this case, as each page that is read into or written from the cache must be converted to/from the host format, it is possible that databases with non-native formats will incur a performance penalty for the run-time conversion.
It is important to note that the Berkeley DB access methods do no data conversion for application specified data, i.e., key/data pairs written on a little-endian format architecture will be returned to the application exactly as they were written, on a big-endian format architecture.


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Slendr
Lightweight and responsive slider for modern browsers.
Slendr
Lightweight and responsive slider for modern browsers.
Slendr
Lightweight and responsive slider for modern browsers.
Slendr
Lightweight and responsive slider for modern browsers.


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Wikipedia Test Page
A sample project where I was attempting to create a webpage as close to the Wikipedia home page as I could.
Languages Used: HTML, CSS, and Bootstrap
Vacation Website
A website made to test and learn bootstrap
Languages Used: HTML, CSS, and Bootstrap
Adoption Website
A website made to test and learn bootstrap in addition with testing and using columns and rows.
Languages Used: HTML, CSS, and Bootstrap
Resort Website
First major website made to learn and test HTML components and tags. Also made use of some boostrap components such as navbars.
Languages Used: HTML, CSS, and Bootstrap
"My First Webpage"
One of the first websites I created to learn the basic ins and outs of HTML.
Languages Used: HTML and CSS
Disclaimer: The projects listed below were created prior to learning the majority of HTML and do not have index.html as their main file. As such, the GH-Pages do not work, and I will only be linking the Github Repositories.
Webpage 2 - Sample page from when I was learning HTML. - Github Repository
Cookie Recipe - Sample page from when I was learning HTML. - Github Repository
Goodbye World - Sample page from when I was learning HTML. - Github Repository
Hello World - Sample page from when I was learning HTML. - Github Repository


Curvy Model Iskra Lawrence Flaunts Derrière In Cheeky Bikini
November 20, 2019
Curvy Model Iskra Lawrence Flaunts Derrière In Cheeky Bikini
Curvy model Iskra Lawrence took to Instagram to flaunt her fabulous figure in a colorful, cheeky bikini today.
In the update, the blond beauty was standing outside near a bamboo fence surrounded by palm trees. The location looked to be a beach, but the model did not indicate where she was.
Iskra was wearing a bright, multi-colored bikini. The photo captured her from behind, giving her followers a nice look at her curvy booty in the revealing bottoms. The shot showed Iskra’s from about mid-calf up as she stood in the shade of a tree. The beauty was turned toward the camera, showing a bit of her side and most of her face. She wore her hair down in loose waves and looked to be wearing little — if any — makeup. She smiled as she posed for the camera.
Her caption was an inspirational one that encouraged her followers. The post was a smash hit, garnering over 90,000 likes within an hour of going live.
Iskra’s fans appreciated the emotional message, and many of her female followers seemed eager to tell her how much her story has meant to them over the years.
“I wouldn’t be the person I am today if it wasn’t for your kind and inspirational words so thank you for everything you do.  You are amazing!” one follower wrote.
“You’re one of my biggest inspirations, partly because you’re so real and true!!! I love you very much!” said another fan.
“You’re the best Iskra. You’ve helped me improve my self love and self confidence and I cannot be thankful enough for that. Much love,” commented a third follower.
“I’ll always support you! You’re a breathe [sic] of fresh air,” wrote a fourth fan.
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Iskra’s message has always been one of positivity, and she has worked hard to get the modeling industry to accept bodies of all sizes. She is open about her imperfections and embraces them while encouraging others to do the same.
To that end, she often shares unretouched photos to let her fans know what a woman’s body looks like before filters and editing software. The beauty works with Aerie, a brand of American Eagle Outfitters, that features models in photos that have not been altered. One of her more popular photos in recent days showed her flaunting her curves — and her cellulite — in a bikini.


Note
Click here to download the full example code or to run this example in your browser via Binder
Effect of varying threshold for self-training¶
This example illustrates the effect of a varying threshold on self-training.
The breast_cancer
dataset is loaded, and labels are deleted such that only 50
out of 569 samples have labels. A SelfTrainingClassifier
is fitted on this
dataset, with varying thresholds.
The upper graph shows the amount of labeled samples that the classifier has available by the end of fit, and the accuracy of the classifier. The lower graph shows the last iteration in which a sample was labeled. All values are cross validated with 3 folds.
At low thresholds (in [0.4, 0.5]), the classifier learns from samples that were labeled with a low confidence. These low-confidence samples are likely have incorrect predicted labels, and as a result, fitting on these incorrect labels produces a poor accuracy. Note that the classifier labels almost all of the samples, and only takes one iteration.
For very high thresholds (in [0.9, 1)) we observe that the classifier does not augment its dataset (the amount of self-labeled samples is 0). As a result, the accuracy achieved with a threshold of 0.9999 is the same as a normal supervised classifier would achieve.
The optimal accuracy lies in between both of these extremes at a threshold of around 0.7.
print(__doc__)
# Authors: Oliver Rausch<EMAIL_ADDRESS># License: BSD
import numpy as np
import matplotlib.pyplot as plt
from sklearn import datasets
from sklearn.svm import SVC
from sklearn.model_selection import StratifiedKFold
from sklearn.semi_supervised import SelfTrainingClassifier
from sklearn.metrics import accuracy_score
from sklearn.utils import shuffle
n_splits = 3
X, y = datasets.load_breast_cancer(return_X_y=True)
X, y = shuffle(X, y, random_state=42)
y_true = y.copy()
y[50:] = -1
total_samples = y.shape[0]
base_classifier = SVC(probability=True, gamma=0.001, random_state=42)
x_values = np.arange(0.4, 1.05, 0.05)
x_values = np.append(x_values, 0.99999)
scores = np.empty((x_values.shape[0], n_splits))
amount_labeled = np.empty((x_values.shape[0], n_splits))
amount_iterations = np.empty((x_values.shape[0], n_splits))
for (i, threshold) in enumerate(x_values):
self_training_clf = SelfTrainingClassifier(base_classifier,
threshold=threshold)
# We need manual cross validation so that we don't treat -1 as a separate
# class when computing accuracy
skfolds = StratifiedKFold(n_splits=n_splits)
for fold, (train_index, test_index) in enumerate(skfolds.split(X, y)):
X_train = X[train_index]
y_train = y[train_index]
X_test = X[test_index]
y_test = y[test_index]
y_test_true = y_true[test_index]
self_training_clf.fit(X_train, y_train)
# The amount of labeled samples that at the end of fitting
amount_labeled[i, fold] = total_samples - np.unique(
self_training_clf.labeled_iter_, return_counts=True)[1][0]
# The last iteration the classifier labeled a sample in
amount_iterations[i, fold] = np.max(self_training_clf.labeled_iter_)
y_pred = self_training_clf.predict(X_test)
scores[i, fold] = accuracy_score(y_test_true, y_pred)
ax1 = plt.subplot(211)
ax1.errorbar(x_values, scores.mean(axis=1),
yerr=scores.std(axis=1),
capsize=2, color='b')
ax1.set_ylabel('Accuracy', color='b')
ax1.tick_params('y', colors='b')
ax2 = ax1.twinx()
ax2.errorbar(x_values, amount_labeled.mean(axis=1),
yerr=amount_labeled.std(axis=1),
capsize=2, color='g')
ax2.set_ylim(bottom=0)
ax2.set_ylabel('Amount of labeled samples', color='g')
ax2.tick_params('y', colors='g')
ax3 = plt.subplot(212, sharex=ax1)
ax3.errorbar(x_values, amount_iterations.mean(axis=1),
yerr=amount_iterations.std(axis=1),
capsize=2, color='b')
ax3.set_ylim(bottom=0)
ax3.set_ylabel('Amount of iterations')
ax3.set_xlabel('Threshold')
plt.show()
Total running time of the script: ( 0 minutes 5.613 seconds)


Specify a space delimited list of cartridges to be assigned to the application. e.g. jbosseap-6 mysql-5.5
Note that the specified cartridges need to be available on the selected OpenShift server. For a complete list of available cartridges on OpenShift refer to OpenShift web console or use the command line too 'rhc cartridges'. Here is the list of some of the most common cartridges:


| Number of Classes | Line Coverage | Mutation Coverage |
|---|---|---|
| 8 | 59% | 27% |
| Name | Line Coverage | Mutation Coverage |
|---|---|---|
| ConfigurableSMPPServerSessionListener.java | 54% |
25% |
| DeliveryReceiptTask.java | 44% |
25% |
| JSMPPServer.java | 69% |
40% |
| JSMPPServerSimulator.java | 80% |
33% |
| OptionalParameterAdapter.java | 79% |
43% |
| SlowPduSender.java | 33% |
8% |
| SubmitSmAdapter.java | 43% |
31% |
| WaitBindTask.java | 74% |
60% |


Stan Lee Death News in Hindi | The Reason behind Stan Lee Death | Marvel Avengers Reaction Sten lee's life was going well suddenly his health issue coming out stan lee disease was very serious. Stan Lee Died in the hospital when battling with a disease called pneumonia when sten lee died he was 95 years old and the reaction of Avengers on stan lee death is very sad.
Child Grooming on Facebook - What is Child Grooming ?
Jio Blocked Porn Sites are Still Working or Not ? Porn Banned India banned Porn Sites and we know this if you don't know why porn banned in India and which porn sites banned then click
Earn Money Online 10,000 to 50,000 | How to Earn Money at Home ? | Google Pay Dosto is video apko pata chalega ke kaise paise kamaye jate h ghr baithe baithe sirf apne smartphone ka use karke aur m apko bataunga google pay offers ke baare m jiski app ka name g pay h to g pay reward kse milega apko pata chl jayega is video mein. aur bhi app offers h diwali apps offers chalte rehte h rewards ko lekar.
Porn Banned in India | Pros & Cons of Porn Banning | Porn sites Banned and Blocked As we know recently porn banned in India and we observed that many people are against this decision of the high court and some are supporting this. So, we created this video on their opinions and put the conclusion in last in form of pros and cons.
What to do after Community Guidelines Strike on My YouTube Channel? If Strike came on Youtube Channel | How to Appeal on Strike | YouTube Channel will Terminate? | what if community guideline strike come on my channel
Sardar Vallabhbhai Patel Biography | Questions about Sardar Vallabhbhai Patel Is video mein ap janenge Kon hai Shri Sardar Vallabhbhai Patel Iron man of india and kya yogdan h unka ekta mein jo unki yaad mein staue of unity banya gaya hai.
JIO 5g in India | 5G Smartphones and Network in India | Use 5g in 4g Mobile ? 5g network and smartphones will be available soon launch date is not confirmed but they are coming in 2019.
Jakarta Indonesia Plane Crash | Plane Crashed Indonesia | 188 deaths in just 13 minutes Indonesia's military chief believes that the body of the crashed Lion Air plane has been found, Reuters rumored Wednesday.
Free VPN for PC | VPN in PC when JIO Banned Pornography | vpn setting in opera In this video you will learn how to use is vpn in pc and free vpn for pc. VPN in PC is not a big dean to find download opera vpn and enjoy all sites banned by jio without any issues opera has inbuilt vpn services and known as best vpn for pc.
Oneplus 6t Lauch in India | Price In India | Oneplus 6t Support 5g ? If The question is Oneplus 6t is 5g or not then the answers is absolutely Noo.....
Subway Surfers : Top Android Game on Play Store | Trending Games Play Store Subway surfers was launched in 2012 and this game is still in trending list at play store #3 trending. Pubg is on #1 trending.
How to use VPN when JIO BANNED Pornography | Use VPN with Jio Ban India So, after Jio Banned Porn in India VPS (Virtual Private Network) usage increased so much to access blocked websites. To unlock Websites VPN(Virtual Private Network) is best solution among all.
Porn Ban in India | Why Jio Not Ban VPN Porn | Porn Still not Ban ?  Why jio ban porn first in India is a really good one with this why only limited porn sites ban by jio why not all of then are ban in India by them.
Reaction on Jio Porn Ban in India | Youth Reaction on PORN Ban 2018 What is the reaction of indian's on porn ban in India.  You should watch this video to see polite reaction on porn ban in India.
Flipkart and Amazon Diwali Sale | Best Diwali Discount Offers | Best Sale offers | 7 Nov Flipkart and Amazon Diwali Sale | Best Diwali Discount Offers | Best Sale offers at Flipkart and Amazon are available now Where to buy is a big question these days
Jio Dhamaka | Porn Ban in India by Internet Provider | Adult Website BAN in India Jio Banned Porn Website from india Today 24th October 2018 | Jio Block Porn Website and videos. The Uttarakhand High Court has asked the Centre to impose a strict ban on pornographic websites. Almost all website blocked or disable by telecom department threw internet service provider.
Real or Fake MI 1Rs. Flash Sale | MI Website Crashed | Nope, No Carrots here Mi flash sale is real or fake this question arise because whenever someone tries to go for 1rs flash sale then website got crashed everytime.
Firecrackers Banned in India | Diwali Pataka BAN in India | Fireworks BAN Diwali Firecrackers Banned by Supreme Court India. This Diwali Firecrackers almost banned in india supreme court decide to ban patakha partially i mean court set timing for using firecrackers only two hours available to use firecrackers if anyone want to make Diwali with firecrackers, but cpcb (Central Pollution Control Board) stand against this decision in defense supreme court said there is absolutely adverse effect on environment if firecrackers use is allowed but main pollution not caused by firecrackers it's due to vehicles smoke and factory waste emission.


One method to help protect your server against DOS attacks involves limiting the maximum allowable size for file uploads. Here, we are limiting file upload size to 10240000 bytes, which is equivalent to around 10 megabytes. For this rule, file sizes are expressed in bytes. Check here for help with various file size conversions.
# protect against DOS attacks by limiting file upload size
LimitRequestBody 10240000
For more information, check out Limit File Upload Size and Limit HTTP Request Size.


|
Contiki 2.5
|
Routines to interface between Ethernet and 6LowPan. More...
#include "uip.h"
#include "uip_arp.h"
#include "net/rime.h"
#include "sicslowpan.h"
#include "sicslow_ethernet.h"
#include "zmac.h"
#include "frame.h"
#include "radio.h"
#include "rndis/rndis_protocol.h"
#include "rndis/rndis_task.h"
#include <stdint.h>
#include <stdio.h>
#include <string.h>
#include "net/uip-icmp6.h"
#include "net/uip-nd6.h"
Go to the source code of this file.
Defines | |
| #define | DEBUG 0 |
| #define | LSB(u16) (((uint8_t *)&(u16))[0]) |
| Least significant byte of u16. | |
| #define | MSB(u16) (((uint8_t *)&(u16))[1]) |
| Most significant byte of u16. | |
| #define | TRANSLATE_BIT_MASK (1<<2) |
| Location of TRANSLATE (TR) bit in Ethernet address. | |
| #define | LOCAL_BIT_MASK (1<<1) |
| Location of LOCAL (GL) bit in Ethernet address. | |
| #define | MULTICAST_BIT_MASK (1<<0) |
| Location of MULTICAST (MU) bit in Ethernet address. | |
Functions | |
| uint8_t | mac_createSicslowpanLongAddr (uint8_t *ethernet, uip_lladdr_t *lowpan) |
| Create a 802.15.4 long address from a 802.3 address. | |
| uint8_t | mac_createEthernetAddr (uint8_t *ethernet, uip_lladdr_t *lowpan) |
| Create a 802.3 address from a 802.15.4 long address. | |
| uint8_t | mac_createDefaultEthernetAddr (uint8_t *ethernet) |
| Create a 802.3 address (default) | |
| void | mac_ethhijack (const struct mac_driver *r) |
| Process a received 6lowpan packet. | |
| void | mac_ethernetToLowpan (uint8_t *ethHeader) |
| Take a packet received over the ethernet link, and send it out over 802.15.4. | |
| void | mac_LowpanToEthernet (void) |
| Take a packet received over the 802.15.4 link, and send it out over ethernet, performing any translations needed. | |
| int8_t | mac_translateIPLinkLayer (lltype_t target) |
| Translate IP packet's possible link-layer addresses, passing the message to the appropriate higher level function for this packet (aka: ICMP) | |
| void | slide (uint8_t *data, uint8_t length, int16_t slide) |
| Slide the pointed to memory up a certain amount, growing/shrinking a buffer. | |
| int8_t | mac_translateIcmpLinkLayer (lltype_t target) |
| Translate the link-layer (L2) addresses in an ICMP packet. | |
| void | mac_logTXtoEthernet (frame_create_params_t *p, frame_result_t *frame_result) |
| Logs a sent 6lowpan frame. | |
| void | mac_802154raw (const struct mac_driver *r) |
| Process a received 6lowpan packet. | |
Variables | |
| uint64_t | macLongAddr |
| Our own long address. | |
| struct mac_driver * | pmac |
| Perform any setup needed. |
Routines to interface between Ethernet and 6LowPan.
Definition in file sicslow_ethernet.c.
| void mac_802154raw | ( | const struct mac_driver * | r | ) |
Process a received 6lowpan packet.
| r | The MAC layer |
The 6lowpan packet is put in packetbuf by the MAC. This routine passes it directly to the ethernet layer without decompressing.
Definition at line 1118 of file sicslow_ethernet.c.
Referenced by mac_ethhijack().
| void mac_logTXtoEthernet | ( | frame_create_params_t * | p, |
| frame_result_t * | frame_result | ||
| ) |
Logs a sent 6lowpan frame.
This routine passes a frame directly to the ethernet layer without decompressing.
Definition at line 1105 of file sicslow_ethernet.c.
References frame_result_t::frame, and frame_result_t::length.


{% load static %}
About this page:
Hello there! Welcome to my website. Here you will find thorough beer, tasty burger, strong and smelly tea and coffee reviews, which are of course very subjective, but do still reveal the major picture.
You may wonder, how the hell on Earth does the grading system work...? Well, all grades are on scale from 1 to 5, 5 being the highest. The grades follow next simple rule (which might not be the best, but it is certainly cleaning up a subjective factor a bit):
All grades follow these rules, except for juicyness, and spicyness for burgers, and the rate of strongness for tea and coffee. These only reveal the rough estimate of intensity of attributes.
About me:
I am a 22 years old student of mathematics that grows a strong love for beer, burgers, tea, and coffee. In spare time I like to read and write books on mathematics and computer science. I talk a lot, if only I am not tired from the night not slept. That happens quite often, either I work or get drunk - the latter is a joke... Or is it? Am I playing with your mind...? What if all I said is "such a crock of shit"? o.O


{%comment %} These are the upsells that appear on your course or bundle landing page. {% endcomment %} {% if page.has_related_products %}


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See:
Description
| Interface Summary | |
| Writable | A simple, efficient, serialization protocol, based on DataInput and
DataOutput . |
| WritableComparable | An interface which extends both Writable and Comparable . |
| Class Summary | |
| ArrayFile | A dense file-based mapping from integers to values. |
| ArrayFile.Reader | Provide access to an existing array file. |
| ArrayFile.Writer | Write a new array file. |
| ArrayWritable | A Writable for arrays containing instances of a class. |
| BooleanWritable | A WritableComparable for booleans. |
| BooleanWritable.Comparator | A Comparator optimized for BooleanWritable. |
| BytesWritable | A Writable for byte arrays. |
| DataInputBuffer | A reusable DataInput implementation that reads from an in-memory
buffer. |
| DataOutputBuffer | A reusable DataOutput implementation that writes to an in-memory
buffer. |
| IntWritable | A WritableComparable for ints. |
| IntWritable.Comparator | A Comparator optimized for IntWritable. |
| LongWritable | A WritableComparable for longs. |
| LongWritable.Comparator | A Comparator optimized for LongWritable. |
| MapFile | A file-based map from keys to values. |
| MapFile.Reader | Provide access to an existing map. |
| MapFile.Writer | Writes a new map. |
| MD5Hash | A Writable for MD5 hash values. |
| MD5Hash.Comparator | A WritableComparator optimized for MD5Hash keys. |
| NullWritable | Singleton Writable with no data. |
| SequenceFile | Support for flat files of binary key/value pairs. |
| SequenceFile.Reader | Writes key/value pairs from a sequence-format file. |
| SequenceFile.Sorter | Sorts key/value pairs in a sequence-format file. |
| SequenceFile.Writer | Write key/value pairs to a sequence-format file. |
| SetFile | A file-based set of keys. |
| SetFile.Reader | Provide access to an existing set file. |
| SetFile.Writer | Write a new set file. |
| TwoDArrayWritable | A Writable for 2D arrays containing a matrix of instances of a class. |
| UTF8 | A WritableComparable for strings that uses the UTF8 encoding. |
| UTF8.Comparator | A WritableComparator optimized for UTF8 keys. |
| VersionedWritable | A base class for Writables that provides version checking. |
| WritableComparator | A Comparator for WritableComparable s. |
| WritableName | Utility to permit renaming of Writable implementation classes without invalidiating files that contain their class name. |
| WritableUtils |
| Exception Summary | |
| VersionMismatchException | Thrown by VersionedWritable.readFields(DataInput) when the
version of an object being read does not match the current implementation
version as returned by VersionedWritable.getVersion() . |
Generic i/o code for use when reading and writing data to the network, to databases, and to files.
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Pakistan celebrates crushing massive 221-run victory over Aussies in Dubai.
Younus Khan is batting on 110 while Azhar Ali (91) is also approaching his century with patience.
Pakistan have been dominant on the first day of the second Test against Australia and will be looking to amass a big first innings total before Australia come in to bat.
This is building up into another great Test match.
Pakistan's legendary former captain Imran Khan has endorsed calls for overhaul of the Pakistan Cricket Board (PCB) and the structure of domestic cricket in the country, saying things had ‘hit rock bottom.
In a series of tweets lambasting the PCB, Imran also blamed Prime Minister Nawaz Sharif for the mess in the crick
You make enemies instantly when you become captain of Pakistan - Misbah
"Players need to take more responsibility instead of just blaming the coach"
"It would be backwards step if Shahid Afridi & I were asked to return to the Pakistan one-day team"
"The defeat that really hurts till this day is the 2007 World T20 final loss. It's difficult to forget that one"
"If Azhar Ali keeps saying that I was a good captain & I am his role model, then he will quickly be replaced"


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Selina Gomez
February 25 2017
is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
127
Khalid Hasan Zibon
February 25 2017
is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
127
Heath Ledger
February 25 2017
is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
127