PART I. ADMINISTRATIVE STRUCTURE
[§174C-1] Short title. This chapter shall be known and may be cited as the State Water Code. [L 1987, c 45, pt of §2]


|
Connected Home over IP
672cf7684
|
Public Member Functions | |
| def | __init__ (self, ctypes.CDLL handle, Commissioner_p native) |
| def | BlePair (self, int remoteDeviceId, int pinCode, int discriminator) |
| def | PairSendWifiCredentials (self, str ssid, str password) |
| def | PairSendThreadCredentials (self, bytes threadBlob) |
| def | Unpair (self, int remoteDeviceId) |
Public Attributes | |
| pairing_state | |
| on_network_credentials_requested | |
| on_operational_credentials_requested | |
| on_pairing_complete | |
Commissioner wraps the DeviceCommissioner native class. The commissioner is a DeviceController that supports pairing. Since the device controller supports multiple devices, this class is expected to be used as a singleton
| def chip.internal.commissioner.Commissioner.__init__ | ( | self, | |
| ctypes.CDLL | handle, | ||
| Commissioner_p | native | ||
| ) |
| def chip.internal.commissioner.Commissioner.BlePair | ( | self, | |
| int | remoteDeviceId, | ||
| int | pinCode, | ||
| int | discriminator | ||
| ) |
| def chip.internal.commissioner.Commissioner.PairSendThreadCredentials | ( | self, | |
| bytes | threadBlob | ||
| ) |
Send thread credentials. Thread credentials is an opaque blob from the API perspective.
| def chip.internal.commissioner.Commissioner.PairSendWifiCredentials | ( | self, | |
| str | ssid, | ||
| str | password | ||
| ) |
Send wifi credentials to the actively connected device.
| def chip.internal.commissioner.Commissioner.Unpair | ( | self, | |
| int | remoteDeviceId | ||
| ) |
| chip.internal.commissioner.Commissioner.on_network_credentials_requested |
| chip.internal.commissioner.Commissioner.on_operational_credentials_requested |
| chip.internal.commissioner.Commissioner.on_pairing_complete |
| chip.internal.commissioner.Commissioner.pairing_state |


Our journey started in 2008 as a software solutions company.We have reached more than ten thousand customers and more than sixty thousand business end users enjoying our solutions and expert help.
Industry 4.0 or Smart Factory definition came into existence in around 2011 and our customer base started requesting solutions in the new domain. Around the last four years we created our solutions based on industry 4.0 perspective.
Our core management team members are experts on information technology, automation and renewable energy systems. Information technology, automation and solar energy systems are the base technologies for the new industrial era and we have developed our intellectual resources in order to create the effective high impact solutions the markets require.
ITAGE 2018 is the reorganization of our resources both intellectual and technological in order to serve the industry in the coming technological era. Information Technology is the core component of every industrial setup including manufacturing businesses to services industry members. Therefore we aim to enhance your enterprise capabilities in information technology and automation technology domain in order for you to internalize and embrace the latest technologies.
The rise of immense computer processing power and intelligent machines leads to a new technological era in business environments such as manufacturing, services and marketing industries. The definition of business success is changing from resource allocation and cost advantage to technological superiority and being single provider.
Our mission is to support our clients in the new industrial era by providing intellectual manpower and technological resources thus increasing the business capabilities to embrace the latest technology and gain competitive advantages.
Our expert team provides excellent solutions for your integration and implementation projects. In extent to our team we have access to a pool of developers who are experts in wide range of enterprise platforms and technologies. Reach us out for an analysis and special report on your specific projects.
Web based applications tailored for your needs can make huge impacts on your operations. We have decades of experience to develop best web apps in the shortest time possible. Reach us out for an analysis and special report on your specific web application project.
Markets and society changed so much in the last 10 years rendering mobile applications a must have for most of the businesses. Today whole businesses are based on mobile apps and others enjoying low cost high impact solutions running on mobile devices. We provide the expert knowledge and bleeding edge technology knowhow for your next mobile application project.
Special projects that require near hardware solutions or desktop capabilities needs both experienced developers and a thorough architectural approach. We provide development and consultancy services for our clients over various platforms. Reach us out for an analysis and special report on your specific desktop or embedded application project.
In automation projects coding PLC is one of the core activities. There are nearly hundred different platforms and development environments. We provide services for developing, auditing and enhancing PLC programmes with manageable costs and expert knowhow. Reach us out for an analysis and special report on your specific PLC project.
Cloud solutions are more common than to maintain a server and even the latest technologies require cloud infrastructure to run on. We provide consultancy and services for our clients in order for them to make the best out of cloud computing. Reach us out for an analysis and special report on your specific cloud based project.
Following technological trends can supply the information for the next competitive advantage you may seize and became critical as the market competition forces all the industry players to use the latest technology. We are working to keep track of all technological developments regarding to manufacturing businesses, services, marketing industries. Reach us out for an analysis and special report on a specific industry or business.
Lean management is the main activity for almost all manufacturing businesses and with that efforts comes along industry 4.0 or smart factory approach. We provide expert manpower in order to analyse the business process, reengineer the process with lean production and latest technologies perspective and create possible enhancement designs. Working with our clients we create clear improvement goals and ROI (Return of Investment) estimates. Reach us out for an analysis and special report on a specific business case.
Industrial Internet of Things is the codename for receiving data from production environment. Installing sensors, actuators, information lights, touch screens can provide a wide range of capabilities. Digitizing the production lines can enable a wide range of applications such as Predictive Maintenance, Preventive Maintenance, Energy Management, Performance Analysis, Failure Detection, Automatic Parts Ordering and more. We work with the top sensors and parts manufacturers to help our clients get the best devices available and we provide software solutions both standalone and ERP integrated. Reach us out for an analysis and special report on your plant.
Big Data comes from all sensory devices and other inputs from all systems including ERP software. In order to get the most out of the Big Data application the case should be handled BigData experts working together with domain experts. Our expertise on Big Data can help you with creating the effective solution you are looking for. Expert systems are used in banking systems to give credit scores and many other applications can be found everywhere. We have knowledge to help create your next expert system for a cost efficient intelligent app. Artificial intelligence libraries from Google, Microsoft, Amazon and SAP are gaining momentum in industrial application and analytics. We provide artificial intelligence app development using Tensorflow library from Google. Reach us out for an analysis and special report for your case.
According to Gartner Report (The Gartner Top 10 Strategic Technology Trends for 2018) by 2022 The Internet of Things (IoT) will save consumers and businesses $1 trillion a year in maintenance, services and consumables.
In order to benefit from those technological developments we offer custom tailored solutions for our clients. Our expert team is here to help you with your IoT projects such as Predictive/Preventive Maintenance, Inline Quality Checking, Factory Monitoring, Shop Floor Monitoring, Digital Twins, Intermediate Stock Monitoring, Machine To Machine Communication, Augmented Reality, Virtual Reality and Big Data Collection Systems via Sensors. Reach us out for an analysis and special report for your case.
Image processing and machine vision techniques are the essential parts in a robotic production system. Automated machines work best when all the inputs and outputs are quality checked with the speed of production. Best practices suggest to apply quality control on every major step as well as the end product. Machine vision technology provides this capability of noninvasive and nondestructive quality checking with fractional costs per product and at high speeds.
We are modelling all your physical and nonphysical assets into digital layer to provide you better monitoring, surveillance, planning and maintenance capabilities. Metadata monitoring,big data analytics and simulation capabilities will increase your company’s dynamism and hence enable you to update/upgrade your business routines swiftly and efficiently minimising the risks of upsetting the current operations. Reach us out for an analysis and special report for your case.
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Kerbal Space Program is a game owned by Take Two. In Kerbal Space Program you are in charge of a space program for a alien race called the kerbals
We made a Kerbal Controller using the Kerbal Simpit mod to interact with a arduino microcontroller. Find More info here


Technology
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An exploration into the truck's polarising design.
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Module party
A module for GPU accelerated particles.
Functions
| draw (...) | Draws a system. |
| update (dt) | Updates a system. |
| texture (texture) | Attaches texture to system, or removes texture if nil. |
| origin (xOrigin, yOrigin) | Sets the origin of the system. |
| startColor (r, g, b[, a]) | Sets the starting color of the system. |
| endColor (r, g, b[, a]) | Sets the ending color of the system. |
| areaSpread (spawnWidth[, spawnHeight]) | Sets the spawning area. |
| direction (direction) | Sets the spawn direction. |
| spread (spread) | Sets the spawn direction spread |
| linearAcceleration (minXLinAcc, minYLinAcc[, maxXLinAcc[, maxYLinAcc]]) | Sets the minimum and maximum linear acceleration. |
| linearDamping (minLinearDamping[, maxLinearDamping]) | Sets minimum and maximum linear damping |
| speed (minSpeed[, maxSpeed]) | Sets the minimum speed |
| startAngle (minAngle[, maxAngle]) | Sets minimum spawn angle. |
| spin (minSpin[, maxSpin]) | Sets the minimum and maximum constant rotation speed. |
| lifetime (minLifetime[, maxLifetime]) | Sets the minimum and maximum lifetime of the particles. |
| radius (minRadius[, maxRadius]) | Sets the minimum and maximum radius of the particles. |
| setTime (time) | Sets the time used for vertex calculations. |
Functions
- draw (...)
-
Draws a system.
Can take any parameters that love.draw would normally.
Parameters:
- ... any draw parameters
- update (dt)
-
Updates a system.
Parameters:
- dt number time since last update
- texture (texture)
-
Attaches texture to system, or removes texture if nil.
Parameters:
- texture image/canvas texture
Returns:
-
system edited system
- origin (xOrigin, yOrigin)
-
Sets the origin of the system.
Parameters:
- xOrigin number X origin of system
- yOrigin number Y origin of system
Returns:
-
system edited system
- startColor (r, g, b[, a])
-
Sets the starting color of the system.
Color is linearly interpolated between the start and end color over it's lifetime.
Parameters:
- r number red color component
- g number green color component
- b number blue color component
- a number alpha color component (optional)
Returns:
-
system edited system
- endColor (r, g, b[, a])
-
Sets the ending color of the system.
Color is linearly interpolated between the start and end color over it's lifetime.
Parameters:
- r number red color component
- g number green color component
- b number blue color component
- a number alpha color component (optional)
Returns:
-
system edited system
- areaSpread (spawnWidth[, spawnHeight])
-
Sets the spawning area.
Parameters:
- spawnWidth number width of spawn area
- spawnHeight number height of spawn area (optional)
Returns:
-
system edited system
- direction (direction)
-
Sets the spawn direction.
Parameters:
- direction number spawn direction (radians)
Returns:
-
system edited system
- spread (spread)
-
Sets the spawn direction spread
Parameters:
- spread number direction spread (radians)
Returns:
-
system edited system
- linearAcceleration (minXLinAcc, minYLinAcc[, maxXLinAcc[, maxYLinAcc]])
-
Sets the minimum and maximum linear acceleration.
Parameters:
- minXLinAcc number minimum linear acceleration on the x axis
- minYLinAcc number minimum linear acceleration on the y axis
- maxXLinAcc number maximum linear acceleration on the x axis (optional)
- maxYLinAcc number maximum linear acceleration on the y axis (optional)
Returns:
-
system edited system
- linearDamping (minLinearDamping[, maxLinearDamping])
-
Sets minimum and maximum linear damping
Parameters:
- minLinearDamping number minimum linear damping
- maxLinearDamping number maximum linear damping (optional)
Returns:
-
system edited system
- speed (minSpeed[, maxSpeed])
-
Sets the minimum speed
Parameters:
- minSpeed number minimum speed
- maxSpeed number maximum speed (optional)
Returns:
-
system edited system
- startAngle (minAngle[, maxAngle])
-
Sets minimum spawn angle.
Parameters:
- minAngle number minimum starting angle
- maxAngle number maximum starting angle (optional)
Returns:
-
system edited system
- spin (minSpin[, maxSpin])
-
Sets the minimum and maximum constant rotation speed.
Parameters:
- minSpin number minimum rotation speed
- maxSpin number maximum rotation speed (optional)
Returns:
-
system edited system
- lifetime (minLifetime[, maxLifetime])
-
Sets the minimum and maximum lifetime of the particles.
Parameters:
- minLifetime number minimum lifetime
- maxLifetime number maximum lifetime (optional)
Returns:
-
system edited system
- radius (minRadius[, maxRadius])
-
Sets the minimum and maximum radius of the particles.
Parameters:
- minRadius number minimum radius
- maxRadius number maximum radius (optional)
Returns:
-
system edited system
- setTime (time)
-
Sets the time used for vertex calculations.
Parameters:
- time number time
Returns:
-
system edited system


Currently, I am a student of Systems & Computing Engineering at the Universidad de los Andes, in this moment I am studying my last year.
I am passionate about the topics of information technology architecture, information technology for business and software development. I want to have the ability to lead the innovation project plan of an organization to build integral solutions (information, infrastructure, software and security), to complexs problems aligning the business strategy and the IT strategy.
Finally I want to contribute in the construction of modern and competitive companies identifying the needs and business opportunities to solve through the appropriate use of Information Technologies.


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Percents are often used to represent change. For example, you may read that the number of suspended students in a school increased by 13% in a year. How is this change calculated?


A module that contains Cards definitions
- Source:
- See:
Members
(static) backSprite :string
Sprite containing the back of cards
Type:
- string
(static) center :Array.<number>
Center point of card image
Type:
- Array.<number>
(static) ranks :Array.<string>
Available ranks
Type:
- Array.<string>
(static) size :Array.<number>
Size of a card
Type:
- Array.<number>
(static) sprite :string
Sprite containing the face of cards
Type:
- string
(static) suits :Array.<string>
Available suits
Type:
- Array.<string>
(static) values :number
Card values in blackjack
Type:
- number


Kayla Kreative
Graphic Design + Web-Development
About
Hi! I'm Kayla, and thank you for stopping by! I'm a free lancer that does custom logos and websites . I love technology and being able to be creative Read More


Versions¶
Read the Docs supports multiple versions of your repository.
On the initial import,
we will create a latest
version.
This will point at the default branch for your VCS control: master
, default
, or trunk
.
We also create a stable
version,
if your project has any tagged releases.
stable
will be automatically kept up to date to point at your highest version.
How we envision versions working¶
In the normal case,
the latest
version will always point to the most up to date development code.
If you develop on a branch that is different than the default for your VCS,
you should set the Default Branch to that branch.
You should push a tag for each version of your project.
These tags should be numbered in a way that is consistent with semantic versioning.
This will map to your stable
branch by default.
Note
We in fact are parsing your tag names against the rules given by
PEP 440. This spec allows “normal” version numbers like 1.4.2
as
well as pre-releases. An alpha version or a release candidate are examples
of pre-releases and they look like this: 2.0a1
.
We only consider non pre-releases for the stable
version of your
documentation.
If you have documentation changes on a long-lived branch, you can build those too. This will allow you to see how the new docs will be built in this branch of the code. Generally you won’t have more than 1 active branch over a long period of time. The main exception here would be release branches, which are branches that are maintained over time for a specific release number.
Redirects on root URLs¶
When a user hits the root URL for your documentation,
for example http://pip.readthedocs.io/
,
they will be redirected to the Default version.
This defaults to latest,
but could also point to your latest released version.
Marshall Add for test¶
Here is what Marshall added for test.


| Overview | Module | Use | Devguide | Index |
| Services' Summary | Interfaces' Summary | Properties' Summary | Services' Details | Interfaces' Details | Properties' Details |
| service NumberingRules |
|
| Exported Interfaces - Summary | |
| ::com::sun::star::container::XIndexReplace | provides access to the levels of the numbering rule. (details) |
| ::com::sun::star::beans::XPropertySet |
| Properties' Summary | |
| boolean IsAbsoluteMargins |
[ OPTIONAL ] determins if the margins are absolute or relative to the preceeding numbering level. |
| boolean IsAutomatic |
[ OPTIONAL ] determins if the numbering rules are automatically created as opposed to numbering rules that are part of a numbering style. |
| boolean IsContinuousNumbering |
[ OPTIONAL ] determins if the numbering levels are counted coninuously or if each numbering level is counted separately. |
| [ readonly ] string Name |
[ OPTIONAL ] contains the name of the numbering rules. It is used to identify a certain numbering rules property |
| boolean NumberingIsOutline |
[ OPTIONAL ] This numbering is used in the outline of the document (e.g. headings). |
| short NumberingType |
[ OPTIONAL ] the type of numbering (arabic, characters, roman numbers, etc.). |
| [ readonly ] string DefaultListId |
[ OPTIONAL ] id of default list for the numbering rules instance |
| Exported Interfaces - Details | |
::com::sun::star::container::XIndexReplace
|
|
::com::sun::star::beans::XPropertySet
|
| Properties' Details | |
IsAbsoluteMargins
|
|
IsAutomatic
|
|
IsContinuousNumbering
|
|
Name
|
|
NumberingIsOutline
|
|
NumberingType
|
|
DefaultListId
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Conditional Density Simulation¶
Conditional Density Simulation Interface¶
-
class
cde.density_simulation.
BaseConditionalDensitySimulation
[source]¶ -
cdf
(X, Y)[source]¶ Conditional cumulated probability density function P(Y < y | x) of the underlying probability model
- Parameters
X – x to be conditioned on - numpy array of shape (n_points, ndim_x)
Y – y target values for witch the cdf shall be evaluated - numpy array of shape (n_points, ndim_y)
- Returns
P(Y < y | x) cumulated density values for the provided X and Y - numpy array of shape (n_points, )
-
conditional_value_at_risk
(x_cond, alpha=0.01, n_samples=1000000)[source]¶ Computes the Conditional Value-at-Risk (CVaR) / Expected Shortfall of the fitted distribution. Only if ndim_y = 1
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
alpha – quantile percentage of the distribution
n_samples – number of samples for monte carlo model_fitting
- Returns
CVaR values for each x to condition on - numpy array of shape (n_values)
-
covariance
(x_cond, n_samples=1000000)[source]¶ Covariance of the fitted distribution conditioned on x_cond
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
n_samples – number of samples for monte carlo model_fitting
- Returns
Covariances Cov[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y, ndim_y)
-
kurtosis
(x_cond, n_samples=1000000)[source]¶ Kurtosis of the fitted distribution conditioned on x_cond
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- Returns
Kurtosis Kurt[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y, ndim_y)
-
log_pdf
(X, Y)[source]¶ Conditional log-probability log p(y|x). Requires the model to be fitted.
- Parameters
X – numpy array to be conditioned on - shape: (n_samples, n_dim_x)
Y – numpy array of y targets - shape: (n_samples, n_dim_y)
- Returns
conditional log-probability log p(y|x) - numpy array of shape (n_query_samples, )
-
mean_
(x_cond, n_samples=1000000)[source]¶ Mean of the fitted distribution conditioned on x_cond :param x_cond: different x values to condition on - numpy array of shape (n_values, ndim_x)
- Returns
Means E[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y)
-
pdf
(X, Y)[source]¶ Conditional probability density function p(y|x) of the underlying probability model
- Parameters
X – x to be conditioned on - numpy array of shape (n_points, ndim_x)
Y – y target values for witch the pdf shall be evaluated - numpy array of shape (n_points, ndim_y)
- Returns
p(X|Y) conditional density values for the provided X and Y - numpy array of shape (n_points, )
-
plot
(xlim=(-5, 5), ylim=(-5, 5), resolution=100, mode='pdf', show=False, numpyfig=False)[source]¶ Plots the distribution specified in mode if x and y are 1-dimensional each
- Parameters
xlim – 2-tuple specifying the x axis limits
ylim – 2-tuple specifying the y axis limits
resolution – integer specifying the resolution of plot
mode – spefify which dist to plot [“pdf”, “cdf”, “joint_pdf”]
-
simulate
(n_samples)[source]¶ Draws random samples from the unconditional distribution p(x,y)
- Parameters
n_samples – (int) number of samples to be drawn from the conditional distribution
- Returns
(X,Y) - random samples drawn from p(x,y) - numpy arrays of shape (n_samples, ndim_x) and (n_samples, ndim_y)
-
simulate_conditional
(X)[source]¶ Draws random samples from the conditional distribution
- Parameters
X – x to be conditioned on when drawing a sample from y ~ p(y|x) - numpy array of shape (n_samples, ndim_x)
- Returns
Conditional random samples y drawn from p(y|x) - numpy array of shape (n_samples, ndim_y)
-
skewness
(x_cond, n_samples=1000000)[source]¶ Skewness of the fitted distribution conditioned on x_cond
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- Returns
Skewness Skew[y|x] corresponding to x_cond - numpy array of shape (n_values, ndim_y, ndim_y)
-
std_
(x_cond, n_samples=1000000)[source]¶ Standard deviation of the fitted distribution conditioned on x_cond
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
- Returns
Standard deviations sqrt(Var[y|x]) corresponding to x_cond - numpy array of shape (n_values, ndim_y)
-
tail_risk_measures
(x_cond, alpha=0.01, n_samples=1000000)[source]¶ Computes the Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR)
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
alpha – quantile percentage of the distribution
n_samples – number of samples for monte carlo model_fitting
- Returns
VaR values for each x to condition on - numpy array of shape (n_values)
CVaR values for each x to condition on - numpy array of shape (n_values)
-
value_at_risk
(x_cond, alpha=0.01, n_samples=1000000)[source]¶ Computes the Value-at-Risk (VaR) of the fitted distribution. Only if ndim_y = 1
- Parameters
x_cond – different x values to condition on - numpy array of shape (n_values, ndim_x)
alpha – quantile percentage of the distribution
n_samples – number of samples for monte carlo model_fitting
- Returns
VaR values for each x to condition on - numpy array of shape (n_values)
-


Hi! I'm srifqi.
I'm a computer science student at Sebelas Maret University. I like to do coding and creating mini projects. Sometimes, I document or review my progress in my blog. You can explore them using links on the left bar.
I also like to play Minetest, a voxel game engine (and also the game). It is my longest game that I still play (and contribute!) until now. I make mods and published some of them to Minetest Content Database.
While exploring my projects, unless stated, my code is licensed under MIT License.


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Emergency Contact Phone
Please format as xxx-xxx-xxxx<PHONE_NUMBER>)
Please use the correct format
Emergency Contact Phone
-
-
Emergency Contact's Relationship to Child
Comments/Requests
Check the box below if you would like to serve as a volunteer for the camp
Yes, I would like to help, please contact me.


DC702 is a local community within Las Vegas focused on security research, hacking, and the general IT field. We engage with other local organizations to help build awareness and support the community. Our group also includes the local TOOOL chapter focused on lock picking and physical security awareness.
Abstracted Solutions is dedicated to providing security and IT services to small to mid-sized businesses as well as providing awareness to residential clients. Abstracted Solutions also brings you projects like The Unknown Space and various other experiments based around security awareness. We are here to help you abstract away the complexity to facilitate more secure environments.
'The Petting Zoo' is a workshop-styled capture the flag (CTF) event where we introduce participants to the world of CTFs. This event has been hosted for various "three-letter agencies," military groups, and local law enforcement. Additionally, this was hosted at DEF CON 30. This is a project run by DC702 and is one of the many ways our non-profit helps the community grow.
Threshodl was the embodiment of an off-blockchain transaction concept that allowed cryptocurrencies to be transferred off-chain through the use of "micro-wallets". During May 2018, this was patent-pending under the application number 15/978,008. Due to the dissolving of the company (ThreeBx), efforts to secure patent protection were stopped. As CTO of ThreeBx, I developed this unique patent along with the first beta version of the mobile application and corresponding backend services.
Shark Trap is developing a line of "super shufflers" designed to bring intelligence and optimization into table games. At SharkTrap, I have worked as a technical advisor to help develop algorithms for marked card detection, hashing and randomization algorithms, and various computer vision functions.
Art of Codes is a passion project to create puzzles as a path to learning and exposure. Each challenge demonstrates a different subject area I find interesting or represents another puzzle I found inspiring. The project also became a playground to try different web-based attacks and technologies.


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NFL betting breakdown — Week 11
by Chip Chirimbes Special to the Review-JournalChip Chirimbes, Chipwins.com, picksandparlays.net and Vegasopeningline.com
Cowboys (5-4) at Lions (3-5-1)
* Time: 10 a.m. (KVVU-5)
* Line/Total: Cowboys -7, 47
* Analysis: Most bettors will look for the Cowboys to recover from their Sunday night loss to the Vikings. Dallas at 5-4 has the tiebreaker lead over the Eagles in the NFC East, but after opening 3-0 with wins over the Giants, Redskins and Dolphins, they have lost four of six with one of the two wins coming against the Giants. I’m no big fan of Detroit coach Matt Patricia, but I am not impressed with the Cowboys.
* By the numbers: The over is 7-1 in the past eight meetings, and the underdog is 5-1 against the spread in the last five. … The over is 5-2 in the last seven Lions games and 5-1 in the Cowboys’ past six on the road.
* Pick: Lions 27, Cowboys 23
— — —
Saints (7-2) at Buccaneers (3-6)
* Time: 10 a.m.
* Line/Total: Saints -5½, 4½
* Analysis: The Saints lost how many games while QB Drew Brees was sidelined? None (6-0), which means Brees is 1-2 as a starter. Six sacks surrendered to Atlanta last week did in New Orleans. Tampa Bay has lost five straight ATS despite leading the NFL in run defense (77.8 yards) because QB Jameis Winston is a turnover machine. Still, New Orleans’ run game has not been the same this season as in 2018.
* By the numbers: The favorite and home team is 5-2 ATS in the last seven games in the series … The Saints are 6-0 ATS after a loss of 14 points.
* Pick: Buccaneers 36, Saints 34
— — —
Falcons (2-7) at Panthers (5-4)
* Time: 10 a.m.
* Line/Total: Panthers -4, 49
* Analysis: The Falcons are 2-7 straight up and not much better ATS (3-6), but they have outgained opponents in seven of nine games. Matt Ryan is back at QB, and that spells trouble for Carolina, as he’s 6-1 in the past seven starts against the Panthers with 15 TD passes and an average of 318 yards. The Panthers’ run defense has allowed 516 yards and 10 rushing TDs in the last three games.
* By the numbers: The Falcons are 6-1 ATS in the last seven meetings. … The Falcons are 8-1 ATS as underdogs coming off a straight-up underdog win.
* Pick: Falcons 23, Panthers 20
— — —
Jaguars (4-5) at Colts (5-4)
* Time: 10 a.m.
* Line/Total: Colts -2½, 43
* Analysis: It’s obvious the Colts are a different team with Jacoby Brissett running the show, and he’s ready to go. But will he be as effective off a sprained MCL and retain his quickness and speed? The line will be adjusted accordingly, and getting an edge is rare.
* By the numbers: Jacksonville is 7-0-1 ATS in the last eight meetings, including 3-0-1 at Indianapolis. … The under is 7-1 in the last eight meetings at Indianapolis, and the Colts are 0-6-1 ATS against a team with a losing record.
* Pick: Colts 23, Jaguars 20
— — —
Broncos (3-6) at Vikings (7-3)
* Time: 10 a.m.
* Line/Total: Vikings -10, 40
* Analysis: This is always fun, a double-digit favorite against a team with no quarterback. My apologies to Brandon Allen, who makes his second start leading a Denver team ranked 28th in scoring offense and 27th in total offense. Minnesota RB Dalvin Cook needs 9 yards rushing to reach 1,000.
* By the numbers: The under is 11-1-1 in Broncos games after a straight-up win, and they are 15-7-1 ATS after a bye. … The Vikings are 35-15-1 in their last 51 home games but 3-8 ATS after a straight-up win.
* Pick: Vikings 23, Broncos 15
— — —
Jets (2-7) at Redskins (1-8)
* Time: 10 a.m.
* Line/Total: Redskins -2½, 38½
* Analysis: The Jets’ problems start long before they take the field. Quarterback, running back, ownership, coaches, assistant coaches, malcontent players and injuries to other key personnel carry a cloud of despair that will cause even the euphoria of defeating the Giants to quickly fade.
* By the numbers: The Jets are 3-0-1 ATS in the last four meetings and 7-21 ATS in their past 28 November games. … The last six Redskins have gone under.
* Pick: Redskins 33, Jets 16
— — —
Bills (6-3) at Dolphins (2-7)
* Time: 10 a.m.
* Line/Total: Bills -7, 40½
* Analysis: My first thoughts of Buffalo always bring me to QB Josh Allen, an inaccurate thrower and a more effective runner who hasn’t had a completion of at least 30 yards this season. Miami managed 109 yards rushing against the Bills in the first meeting, but still has an NFL-low 3.1 yards per carry.
* By the numbers: The over is 7-2 in the last nine meetings, and the favorite is 4-1 in the past five. … Miami is 5-0 ATS in its last five games, and the Bills are 4-0-1 ATS in their past five road games.
* Pick: Dolphins 20, Bills 19
— — —
Texans (6-3) at Ravens (7-2)
* Time: 10 a.m. (KLAS-8)
* Line/Total: Ravens -4½, 51½
* Analysis: This might be the best game of the week, as it pits the two most exciting quarterbacks in the NFL with Lamar Jackson and Deshaun Watson.  But this price looks a bit cheap to me, and I can see Watson outshining Jackson.
* By the numbers: The Ravens are 1-6 ATS in their last six home games. … The under is 5-0 in the last five meetings in Baltimore and 11-4 after a Texans ATS win.
* Pick: Texans 33, Ravens 31
— — —
Cardinals (3-6-1) at 49ers (8-1)
* Time: 1:05 p.m.
* Line/Total: 49ers -10, 44
* Analysis: The Cardinals have been a great take (7-3 ATS), and the public seems to be riding them again this week. Arizona kept it close Halloween night in a 28-25 back-door cover. The Cardinals won’t be so lucky this week.
* By the numbers: The underdog is 5-1 in the last six meetings. … Arizona is 4-1 ATS in the last five games at San Francisco. … San Francisco is 5-13 ATS in its last 18 games against the NFC and 2-7 ATS against the NFC West.
* Pick: 49ers 37, Cardinals 26
— — —
Patriots (8-1) at Eagles (5-4)
* Time: 1:25 p.m.
* Line/Total: Patriots -4½, 44½
* Analysis: The Eagles are flying high after wins over the Bills and Bears, and QB Carson Wentz will spoil any redemption plans the Patriots have after their loss to Baltimore. New England’s schedule has been laughable. The Patriots have faced one team (Bills) with a winning record.
* By the numbers: The Patriots are 5-0 ATS after a bye and 15-7 ATS after an ATS loss. … Philadelphia is 6-1 ATS after an ATS win. … The road team is 4-0 ATS in the last four meetings, and the underdog is 6-1 in the past seven meetings.
* Pick: Eagles 23, Patriots 20
— — —
Bengals (0-9) at Raiders (5-4)
* Time: 1:25 p.m. (KLAS-8)
* Line/Total: Raiders -11, 48½
* Analysis: Cincinnati is so bad that the Raiders, who have been outscored by their opponents, can be a double-digit favorite. No one wants any part of the Bengals, but it’s time.
* By the numbers: Cincinnati is 5-1 ATS in the last six meetings. … The Raiders are 7-1 ATS in their last eight home games. … Cincinnati is 15-7 ATS against the AFC.
* Pick: Bengals 19, Raiders 17
— — —
Bears (4-5) at Rams (5-4)
* Time: 5:20 p.m. (KSNV-3)
* Line/Total: Rams -6½, 40
* Analysis: The Bears’ offense is producing an average of 262 yards and only 80 yards rushing. QB Mitch Trubisky has just eight TD passes. The Rams need to increase the work load for RB Todd Gurley (104 rushing attempts).
* By the numbers: The Bears are 7-2 ATS in the last nine meetings. The Rams are 10-4 ATS in their last 14 games and 8-2 ATS against the NFC.
Pick: Rams 27, Bears 16
— — —
Chiefs (6-4) vs. Chargers (4-6) at Mexico City
* Time: 5:15 p.m. Monday (ESPN)
* Line/Total: Chiefs -4, 52½
* Analysis: Los Angeles has to keep the ball away from the explosive Chiefs offense and will attack Kansas City’s 31st-ranked rushing defense, which is allowing 148 yards per game, with Melvin Gordon. The Chiefs have lost two of their last three.
* By the numbers: The road team is 7-1 in the last eight meetings. … Kansas City is 20-8 ATS in its last 28 games against the AFC West.
* Pick: Chargers 30, Chiefs 27
More Betting: Follow at reviewjournal.com/betting and @RJ_Sports on Twitter.


Copy the text below and paste in the reddit comment boxTip: click in the box and hit Ctrl + A to select all, Ctrl + C to copy (or ⌘+A ⌘+C)


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Account
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Alert
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Algorithm
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AllocationState
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ApiKeyPair
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AsyncCreateResponse
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AsyncJob
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AsyncJobError
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Builder
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Capabilities
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Capability
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Capacity
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Cluster
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ClusterType
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ConcreteBuilder
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ConfigurationEntry
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DiskOffering
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Domain
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EncryptedPasswordAndPrivateKey
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ErrorCode
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Event
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ExtractMode
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FirewallRule
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Format
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GuestIPType
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Host
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IPForwardingRule
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ISO
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ISOExtraction
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ISOFilter
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ISOPermissions
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IngressRule
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Interval
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JobResult
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LoadBalancerRule
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LoginResponse
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ManagedState
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NIC
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Network
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NetworkOffering
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NetworkOfferingAvailabilityType
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NetworkService
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NetworkType
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OSType
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PermissionOperation
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Pod
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PortForwardingRule
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Project
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Protocol
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PublicIPAddress
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ResourceLimit
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ResultCode
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SecurityGroup
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ServiceOffering
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Snapshot
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SnapshotPolicy
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SnapshotPolicySchedule
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SshKeyPair
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State
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Status
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StoragePool
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StorageType
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Template
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TemplateExtraction
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TemplateFilter
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TemplateMetadata
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TemplatePermission
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Type
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UsageRecord
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User
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VMGroup
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VirtualMachine
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Volume
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ZoneAndName
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DP World Tour Championship: Rory McIlroy second after opening 64 as big guns start well
by Ben ColeyA couple of high-profile eagles and the two biggest guns in the mix made for an exciting start to the DP World Tour Championship. Read about it below.
Leaderboard
-9 Lorenzo-Vera
-8 McIlroy
-6 Rahm
-5 Lewis, Fleetwood
-4 Cabrera Bello, Kinhult
Day one report
Rory McIlroy continued his post-Open tear with an opening 64 to lie second after round one of the DP World Tour Championship.
Since that spectacular failure at Portrush in July, McIlroy has won twice and collected a $10m FedEx Cup bonus, and on Thursday's showing more silverware awaits.
Victory here can neither take him back to the top of the world rankings nor secure the Race to Dubai, but it's becoming hard to argue against McIlroy being the game's best player in the week which saw Brooks Koepka pull out of the Presidents Cup.
McIlroy is at one with the Earth Course in Dubai, where he'd already made seven birdies and just one bogey before overpowering the par-five 18th, a gorgeous three-wood to five feet setting up a closing eagle.
Earlier, Mike Lorenzo-Vera had defied illness to shoot 63, but how long his lead lasts on Friday remains to be seen.
The Frenchman is yet to win on the European Tour, and it's McIlroy who is clearly the man to beat in pursuit of the biggest winner's cheque in its history.
Not that this was all about McIlroy.
Tommy Fleetwood began the tournament with a hole-out eagle, taking his tally to four in 11 holes having dazzled at Sun City last Sunday to end a lengthy wait for silverware.
A stuttering back-nine saw Fleetwood shoot 65, a number bettered by Jon Rahm as he reached six-under on his return from a seven-week break.
Rahm and Fleetwood are right in the hunt for Race to Dubai honours, two of the five remaining contenders in the season-long battle, and much may depend on whether McIlroy keeps either of them from lifting this title.
The current leader is Bernd Wiesberger, who rallied from over-par through 10 holes to shoot a two-under 70, one better than Matthew Fitzpatrick - for whom only victory here will do.
Shane Lowry is the other in the mix but an opening 73 left him with much to do as the man he overshadowed at Portrush threatened to do likewise here in Dubai.
"It was great - I started off fast, basically did what I told you I should do starting off," McIlroy said.
"I birdied the two par-fives on the front nine and did what I needed to do. It was nice to finish the way I did, I hit a lot of quality shots coming in."
Referring to the way he finished, McIlroy added: "It's possibly the best shot I've hit all year.
"I had 272 to the front, 291 to the pin; the wind was off the left so it was a nice one for me.
"I just flushed it. As soon as I hit it I knew it was perfect - it was right out of the middle."


Application Trust
Application Trust disabled
Application Trust checks are available only on iOS or Android devices.
Application Trust page cannot be displayed.
Application Trust checks are available only on iOS or Android devices.
Application Trust not configured
Mobile Security service required
Application Trust page cannot be displayed.
Please enable the Security SDK by providing configuration pointing to your Mobile Security Service
as outlined in Setting up Application Trust
Application Security Status
This feature checks with the backend Mobile Security Service,
to see whether the version of the App has been marked as disabled or not.
Use the button below to invoke the check,
which is normally performed on App initialisation.
Check the Security Service
More details in the Application Trust Documentation.
Steps to Disable/Enable App Version
Press the following link to access the Mobile Security Service backend
Mobile Security Service
In the Mobile Security Service backend disable/enable the following Application:
org.aerogear.ionic.showcase


json Class
Constructor
json
()
Item Index
Methods
addAgents
-
map
-
agents
Description
Parameters:
-
map
Object -
agents
Object
Returns:
addTriggers
-
map
-
triggers
Description
Parameters:
-
map
Object -
triggers
Object
Returns:
getAgentGrid
-
jsonAgents
-
jsonAgentTemplates
-
directory
This method builds a 2d list of agents, with the location of the agent on the map the same as its location in the 2d array. This method has been depreciated and no longer part of the framework. A key weakness of this method is it does not (without alteration) permit multible agents to occupy a cell.
Parameters:
-
jsonAgents
Object -
jsonAgentTemplates
Object -
directory
StringThis variable is currently not utilized by the method.
Returns:
agents
getAgents
-
jsonAgents
-
jsonAgentTemplates
This method builds an array of agents which are present in a level.
Parameters:
-
jsonAgents
Object -
jsonAgentTemplates
Object
Returns:
agents
getCampaign
-
directory
-
campaignName
This method loads a campaign from a number of json files located within the given directory. This method assumes the following file structure: 'directory'/'campaignName' 'directory'/'campaignName'/Data/ - This folder houses the relevant json assets 'directory'/'campaignName'/Graphics/ - This folder houses the relevant graphic assets
Parameters:
-
directory
StringThe directory in which the campaign data is located.
-
campaignName
StringThe name of the campaign json file.
Returns:
campaign
getCampaignLevels
-
jsonLevels
-
directory
-
jsonAgentTemplates
Description
Parameters:
-
jsonLevels
Object -
directory
Object -
jsonAgentTemplates
Object
Returns:
levels
getFloor
-
jsonMap
-
directory
-
jsonStdGraphics
-
agents
-
itmes
-
triggers
Description
Parameters:
-
jsonMap
Object -
directory
Object -
jsonStdGraphics
Object -
agents
Object -
itmes
Object -
triggers
Object
Returns:
floor
getLevel
-
directory
-
levelName
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jsonAgentTemplates
Description
Parameters:
-
directory
StringThe directory in which the campaign data is located.
-
levelName
Object -
jsonAgentTemplates
Object
Returns:
level
getTeams
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jsonTeam
Description
Parameters:
-
jsonTeam
Object
Returns:
teams
getTriggers
-
jsonTriggers
Description
Parameters:
-
jsonTriggers
Object
Returns:
triggers
loadDataFile
-
path
Description
Parameters:
-
path
Object
Returns:
data


make offers
stuff i need
offers i’ve made
go premium
make money
help
What do you want to make offers on?


Pustike Inject is a simple dependency injection framework that implements the Jakarta Injection API specification.
Injector is the core part of this library and it tracks dependencies for types configured by module binders. A module uses the binder to define bindings, which will be used to create an Injector. When an instance of a type or of a binding key is requested, the injector returns the instance by creating it and injecting all its declared dependencies (constructor, fields and methods).
Following are some key features of this library:
@Nullable
or Optional<T>
Documentation:
Download:
The most recent release is v2.0.0 (2021-01-25), and it is available from Maven central repository.
To add it as a dependency in Maven builds, use the following:
<dependency>
<groupId>io.github.pustike</groupId>
<artifactId>pustike-inject</artifactId>
<version>2.0.0</version>
</dependency>
Or, download the latest JAR(~60kB) from Maven Central.
License: This library is published under the Apache License, Version 2.0


Intergalactic power grid on a canvas of the Universe.
The sense of touch is the first sense we develop as an embryo.
Understanding a question is half the answer, Socrates once said.
We are the techno-tribe, flowing in streams of the ancestral data.
© 2019 Andrey Zamaraev (a5kin)


Use MPSS contour plots to classify between New Particle Formation, Regular or, BAD PNSDs.
by: Simonas Kecorius (kecorius@tropos.de)


If you want upload a new book you can choice the upload book function on the menu as you can see in the figure. For other details please follow next tips
For upload a new book you must choose a pdf as book master and optionally Author, Description and Search Tags. For information about the field you can use the tool tips ad in figure
Once you have click on choose file the system will open a file chooser. In this stage you have choose the pdf file that you want upload
For submit the form data, file and metadata you must click on the button in highlighted in figure
After that you submitted the form you have wait for the task completion. For know if the task is finished, you can wait the notification as highlighted in figure. Clicking on the notification icon the system will open a container with all the notification and you can choice of delete the notification, publish or delete on the fly the book


Phone:(508) 393-9312
Fax:<PHONE_NUMBER>
Email<EMAIL_ADDRESS>Applied Communications Services, Inc, (ACSi) has been a leading provider of wireless communications equipment, services and solutions since 1956. With a 60-year background and over 200-years of combined staff experience we are ideally positioned to define, design and deliver an optimum solution to you communication needs.
ACSi specializes in providing compelling, turnkey solutions to the varied wireless communications needs of its clients be they within a single building or for multiple campuses across spread across the length and breadth of the country. We accomplish this by partnering and working with our clients to identify and define their needs so we may then accurately determine the best technologies and products to address those needs with a converge solution that not only supports traditional voice communications but can deliver data, text and even video imaging should they be needed..
In-building enhancement of coverage for carrier system(s), public safety systems or both is yet another area of ACSi expertise. We provide compliance testing to NFPA and municipal standards and, if enhancement is found to be needed systems are design and validated using industry standard iBwave® analysis software then executed using top quality active and passive components installed by trained and certified technicians.
© Applied Communications Services, inc.


Table Action Bar
| Material | Quantity | Unit price |
|---|---|---|
| Acrylic (Transparent) | 25 | $2.90 |
| Plywood (Birch) | 50 | $1.25 |
| Laminate (Gold on Blue) | 10 | $2.35 |
| Material | Quantity | Unit price |
|---|---|---|
| Acrylic (Transparent) | 25 | $2.90 |
| Plywood (Birch) | 50 | $1.25 |
| Laminate (Gold on Blue) | 10 | $2.35 |


Lineup and music all in one place
Send me an email and I will get back to you as soon as possible!
cameronloughman@gmail.com


brew
The Homebrew package manager for Linux.
- Search for available formulas:
brew search text
- Install the latest stable version of a formula (use `--devel` for development versions):
brew install formula
- List all installed formulae:
brew list
- Upgrade an installed formula (if no formula name is given, all installed formulae are upgraded):
brew upgrade formula
- Fetch the newest version of Linuxbrew and of all formulae from GitHub:
brew update
- Show formulae that have a more recent version available:
brew outdated
- Display information about a formula (version, installation path, dependencies, etc.):
brew info formula
- Check the local Linuxbrew installation for potential problems:
brew doctor


BREReceiptManager
@interface BREReceiptManager : NSObject
This class is the interface to manage e-receipt parsing
-
In order to authenticate Gmail accounts, you must enable the Gmail API in your Google API Console and obtain a Client ID for your app’s bundle. When you have done so, input the Client ID here before attempting to begin the OAuth process for Gmail
Declaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *googleClientId;
Swift
var googleClientId: String! { get set }
-
In order to authenticate Outlook accounts, you must register your app at the MS Application Registration Portal (https://apps.dev.microsoft.com) and add a Native Application platform. This will generate a Client ID When you have done so, input the Client ID here before attempting to begin the OAuth process for Outlook
Declaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *outlookClientId;
Swift
var outlookClientId: String! { get set }
-
In order to authenticate Yahoo accounts, you must register a Yahoo developer account at https://developer.yahoo.com and then contact<EMAIL_ADDRESS>to request an IMAP ID
Declaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *yahooImapId;
Swift
var yahooImapId: String! { get set }
-
In order to authenticate Yahoo accounts, after obtaining above IMAP ID, create a new app (type=Web Application, callback_domain=microblink.com) at https://developer.yahoo.com. The permissions you need to request are
Mail->Read
andProfiles->Read/Write Public and Private
You will then obtain the Client ID and Client SecretDeclaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *yahooClientId;
Swift
var yahooClientId: String! { get set }
-
In order to authenticate Yahoo accounts, after obtaining above IMAP ID, create a new app (type=Web Application, callback_domain=microblink.com) at https://developer.yahoo.com. The permissions you need to request are
Mail->Read
andProfiles->Read/Write Public and Private
You will then obtain the Client ID and Client SecretDeclaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *yahooClientSecret;
Swift
var yahooClientSecret: String! { get set }
-
Whether there is a stored provider
Declaration
Objective-C
@property (assign, readwrite, nonatomic) BOOL userHasProvider;
Swift
var userHasProvider: Bool { get set }
-
If there is a stored provider, this property will indicate which provider it is
Declaration
Objective-C
@property (assign, readwrite, nonatomic) BREReceiptProvider currentProvider;
Swift
var currentProvider: BREReceiptProvider { get set }
-
Debug property to enable other sender emails to be parsed as ereceipts. Each element in this array should be a dictionary with the following keys:
email
- The e-mail address to whitelistmerchant
- The merchant to use for parsing emails from this sender. Values are: Peapod, Walmart, Target, Instacart, Jet, Costco, SamsClubDeclaration
Objective-C
@property (readwrite, strong, nonatomic) NSArray<NSDictionary *> *whitelistedSenders;
Swift
var whitelistedSenders: [[AnyHashable : Any]]! { get set }
-
How far back (in days) to search the user’s inbox for e-receipts
Default: 14
Declaration
Objective-C
@property (assign, readwrite, nonatomic) NSInteger dayCutoff;
Swift
var dayCutoff: Int { get set }
-
If the OAuth provider supports returning the logged-in email, it will be populated into this property after OAuth or silent authentications
Declaration
Objective-C
@property (readwrite, strong, nonatomic) NSString *userCurrentEmail;
Swift
var userCurrentEmail: String! { get set }
-
Declaration
Objective-C
+ (instancetype)shared;
Swift
class func shared() -> Self!
-
Begins the OAuth process for the given provider (currently only Gmail and Outlook supported). If the completion is called with no error, you may then invoke
-[BREReceiptManager getEReceiptsWithCompletion:]
Declaration
Objective-C
- (void)beginOAuthForProvider:(BREReceiptProvider)provider withViewController:(UIViewController *)viewController andCompletion:(void (^)(NSError *))completion;
Swift
func beginOAuth(for provider: BREReceiptProvider, with viewController: UIViewController!, andCompletion completion: ((Error?) -> Void)!)
Parameters
provider
The provider you would like to authenticate against
viewController
The view controller from which to present the OAuth modal
completion
The completion is invoked after the OAuth attempt has completed
NSError *error
- The error returned during the OAuth attempt, if any. A successful attempt will returnnil
-
For IMAP providers (currently AOL and Yahoo) you must store the credentials prior to calling
-[BREReceiptManager getEReceiptsWithCompletion:]
Declaration
Objective-C
- (NSError *)storeImapCredentials:(NSString *)user andPassword:(NSString *)password forProvider:(BREReceiptProvider)provider;
Swift
func storeImapCredentials(_ user: String!, andPassword password: String!, for provider: BREReceiptProvider) -> Error!
Return Value
nil
on success, otherwise the error -
Verifies that stored IMAP credentials are valid
Declaration
Objective-C
- (void)verifyImapCredentials:(void (^)(BOOL, NSError *))completion;
Swift
func verifyImapCredentials(_ completion: ((Bool, Error?) -> Void)!)
Parameters
completion
The completion is invoked after the attempt to verify IMAP credentials completes
BOOL success
- indicates whether verification succeeded or notNSError *error
-nil
on success, otherwise contains error information
-
Attempts to retrieve new (since last check) e-receipts from the stored e-mail account. You must have successfully authenticated an OAuth provider, or stored IMAP credentials prior to calling this method
Declaration
Objective-C
- (void)getEReceiptsWithCompletion:(void (^)(NSArray<BRScanResults *> *, NSError *))completion;
Swift
func getEReceipts(completion: (([BRScanResults]?, Error?) -> Void)!)
Parameters
completion
The completion function will be invoked when e-receipt parsing has completed.
NSArray<BRScanResults*> *receipts
- an array ofBRScanResults
objects corresponding to the e-receipts that were successfully parsed. You can expect the following order-level properties to be populated:For products in an e-receipt, you can expect the following properties to be populated:
BRProduct.productNumber
BRProduct.productDescription
BRProduct.unitPrice
BRProduct.totalPrice
BRProduct.quantity
BRProduct.shippingStatus
If you have product intelligence enabled, we also attempt to populate these product fields:
NSError *error
-nil
on success, otherwise contains the error
-
Signs out of any stored email account and stored e-receipt info. For OAuth providers this signs out of the provider and invalidates the access token. For IMAP providers this removes stored credentails.
Declaration
Objective-C
- (void)signOut;
Swift
func signOut()
-
Resets emails so you don’t need to log out and log in during testing
Declaration
Objective-C
- (void)resetEmailsChecked;
Swift
func resetEmailsChecked()


Learn more about Vert.x
Learn more about WildFly
Learn more about Vertx JCA Resource Adapter
This example shows how the javascript communicates messages with Message Driven Bean(MDB)


Color Well
-
ColorWell can be used to present the user’s color selection in your user interface. It optionally also supports drag-and-drop operations.
By default, drop interactions are supported, which causes a
UIControl.Event.valueChanged
event to be emitted. Optionally, drag operations can be enabled, allowing the color to be dropped elsewhere.You can also use
See moreUIControl.Event.touchUpInside
to perform an action, such as to initialise and present an instance ofColorPickerViewController
.Declaration
Swift
@objc(HBColorWell) open class ColorWell : UIControl


Different kinds of errors can occur in a program, and it is useful to distinguish among them in order to track them down more quickly:
The first step in debugging is to figure out which kind of error you are dealing with. Although the following sections are organized by error type, some techniques are applicable in more than one situation.
Syntax errors are usually easy to fix once you figure out what they are. Unfortunately, the error messages are often not helpful. The most common messages are SyntaxError: invalid syntax and SyntaxError: invalid token, neither of which is very informative.
On the other hand, the message does tell you where in the program the problem occurred. Actually, it tells you where Python noticed a problem, which is not necessarily where the error is. Sometimes the error is prior to the location of the error message, often on the preceding line.
If you are building the program incrementally, you should have a good idea about where the error is. It will be in the last line you added.
If you are copying code from a book, start by comparing your code to the book’s code very carefully. Check every character. At the same time, remember that the book might be wrong, so if you see something that looks like a syntax error, it might be.
Here are some ways to avoid the most common syntax errors:
If nothing works, move on to the next section...
If the compiler says there is an error and you don’t see it, that might be because you and the compiler are not looking at the same code. Check your programming environment to make sure that the program you are editing is the one Python is trying to run. If you are not sure, try putting an obvious and deliberate syntax error at the beginning of the program. Now run (or import) it again. If the compiler doesn’t find the new error, there is probably something wrong with the way your environment is set up.
If this happens, one approach is to start again with a new program like Hello, World!, and make sure you can get a known program to run. Then gradually add the pieces of the new program to the working one.
Once your program is syntactically correct, Python can import it and at least start running it. What could possibly go wrong?
This problem is most common when your file consists of functions and classes but does not actually invoke anything to start execution. This may be intentional if you only plan to import this module to supply classes and functions.
If it is not intentional, make sure that you are invoking a function to start execution, or execute one from the interactive prompt. Also see the Flow of Execution section below.
If a program stops and seems to be doing nothing, we say it is hanging. Often that means that it is caught in an infinite loop or an infinite recursion.
If you think you have an infinite loop and you think you know what loop is causing the problem, add a print statement at the end of the loop that prints the values of the variables in the condition and the value of the condition.
For example:
while x > 0 and y < 0:
# do something to x
# do something to y
print("x: ", x)
print("y: ", y)
print("condition: ", (x > 0 and y < 0))
Now when you run the program, you will see three lines of output for each time through the loop. The last time through the loop, the condition should be false. If the loop keeps going, you will be able to see the values of x and y, and you might figure out why they are not being updated correctly.
In a development environment like PyScripter, one can also set a breakpoint at the start of the loop, and single-step through the loop. While you do this, inspect the values of x and y by hovering your cursor over them.
Of course, all programming and debugging require that you have a good mental model of what the algorithm ought to be doing: if you don’t understand what ought to happen to x and y, printing or inspecting its value is of little use. Probably the best place to debug the code is away from your computer, working on your understanding of what should be happening.
Most of the time, an infinite recursion will cause the program to run for a while and then produce a Maximum recursion depth exceeded error.
If you suspect that a function or method is causing an infinite recursion, start by checking to make sure that there is a base case. In other words, there should be some condition that will cause the function or method to return without making a recursive invocation. If not, then you need to rethink the algorithm and identify a base case.
If there is a base case but the program doesn’t seem to be reaching it, add a print statement at the beginning of the function or method that prints the parameters. Now when you run the program, you will see a few lines of output every time the function or method is invoked, and you will see the parameters. If the parameters are not moving toward the base case, you will get some ideas about why not.
Once again, if you have an environment that supports easy single-stepping, breakpoints, and inspection, learn to use them well. It is our opinion that walking through code step-by-step builds the best and most accurate mental model of how computation happens. Use it if you have it!
If you are not sure how the flow of execution is moving through your program, add print statements to the beginning of each function with a message like entering function foo, where foo is the name of the function.
Now when you run the program, it will print a trace of each function as it is invoked.
If you’re not sure, step through the program with your debugger.
If something goes wrong during runtime, Python prints a message that includes the name of the exception, the line of the program where the problem occurred, and a traceback.
Put a breakpoint on the line causing the exception, and look around!
The traceback identifies the function that is currently running, and then the function that invoked it, and then the function that invoked that, and so on. In other words, it traces the path of function invocations that got you to where you are. It also includes the line number in your file where each of these calls occurs.
The first step is to examine the place in the program where the error occurred and see if you can figure out what happened. These are some of the most common runtime errors:
There are several possible causes:
One of the problems with using print statements for debugging is that you can end up buried in output. There are two ways to proceed: simplify the output or simplify the program.
To simplify the output, you can remove or comment out print statements that aren’t helping, or combine them, or format the output so it is easier to understand.
To simplify the program, there are several things you can do. First, scale down the problem the program is working on. For example, if you are sorting an array, sort a small array. If the program takes input from the user, give it the simplest input that causes the problem.
Second, clean up the program. Remove dead code and reorganize the program to make it as easy to read as possible. For example, if you suspect that the problem is in a deeply nested part of the program, try rewriting that part with simpler structure. If you suspect a large function, try splitting it into smaller functions and testing them separately.
Often the process of finding the minimal test case leads you to the bug. If you find that a program works in one situation but not in another, that gives you a clue about what is going on.
Similarly, rewriting a piece of code can help you find subtle bugs. If you make a change that you think doesn’t affect the program, and it does, that can tip you off.
You can also wrap your debugging print statements in some condition, so that you suppress much of the output. For example, if you are trying to find an element using a binary search, and it is not working, you might code up a debugging print statement inside a conditional: if the range of candidate elements is less that 6, then print debugging information, otherwise don’t print.
Similarly, breakpoints can be made conditional: you can set a breakpoint on a statement, then edit the breakpoint to say “only break if this expression becomes true”.
In some ways, semantic errors are the hardest to debug, because the compiler and the runtime system provide no information about what is wrong. Only you know what the program is supposed to do, and only you know that it isn’t doing it.
The first step is to make a connection between the program text and the behavior you are seeing. You need a hypothesis about what the program is actually doing. One of the things that makes that hard is that computers run so fast.
You will often wish that you could slow the program down to human speed, and with some debuggers you can. But the time it takes to insert a few well-placed print statements is often short compared to setting up the debugger, inserting and removing breakpoints, and walking the program to where the error is occurring.
You should ask yourself these questions:
In order to program, you need to have a mental model of how programs work. If you write a program that doesn’t do what you expect, very often the problem is not in the program; it’s in your mental model.
The best way to correct your mental model is to break the program into its components (usually the functions and methods) and test each component independently. Once you find the discrepancy between your model and reality, you can solve the problem.
Of course, you should be building and testing components as you develop the program. If you encounter a problem, there should be only a small amount of new code that is not known to be correct.
Writing complex expressions is fine as long as they are readable, but they can be hard to debug. It is often a good idea to break a complex expression into a series of assignments to temporary variables.
For example:
self.hands[i].addCard (self.hands[self.findNeighbor(i)].popCard())
This can be rewritten as:
neighbor = self.findNeighbor (i)
pickedCard = self.hands[neighbor].popCard()
self.hands[i].addCard (pickedCard)
The explicit version is easier to read because the variable names provide additional documentation, and it is easier to debug because you can check the types of the intermediate variables and display or inspect their values.
Another problem that can occur with big expressions is that the order of evaluation may not be what you expect. For example, if you are translating the expression x/2pi into Python, you might write:
y = x / 2 * math.pi;
That is not correct because multiplication and division have the same precedence and are evaluated from left to right. So this expression computes (x/2)pi.
A good way to debug expressions is to add parentheses to make the order of evaluation explicit:
y = x / (2 * math.pi);
Whenever you are not sure of the order of evaluation, use parentheses. Not only will the program be correct (in the sense of doing what you intended), it will also be more readable for other people who haven’t memorized the rules of precedence.
If you have a return statement with a complex expression, you don’t have a chance to print the return value before returning. Again, you can use a temporary variable. For example, instead of:
return self.hands[i].removeMatches()
you could write:
count = self.hands[i].removeMatches()
return count
Now you have the opportunity to display or inspect the value of count before returning.
First, try getting away from the computer for a few minutes. Computers emit waves that affect the brain, causing these effects:
If you find yourself suffering from any of these symptoms, get up and go for a walk. When you are calm, think about the program. What is it doing? What are some possible causes of that behavior? When was the last time you had a working program, and what did you do next?
Sometimes it just takes time to find a bug. We often find bugs when we are away from the computer and let our minds wander. Some of the best places to find bugs are trains, showers, and in bed, just before you fall asleep.
It happens. Even the best programmers occasionally get stuck. Sometimes you work on a program so long that you can’t see the error. A fresh pair of eyes is just the thing.
Before you bring someone else in, make sure you have exhausted the techniques described here. Your program should be as simple as possible, and you should be working on the smallest input that causes the error. You should have print statements in the appropriate places (and the output they produce should be comprehensible). You should understand the problem well enough to describe it concisely.
When you bring someone in to help, be sure to give them the information they need:
Good instructors and helpers will also do something that should not offend you: they won’t believe when you tell them “I’m sure all the input routines are working just fine, and that I’ve set up the data correctly!”. They will want to validate and check things for themselves. After all, your program has a bug. Your understanding and inspection of the code have not found it yet. So you should expect to have your assumptions challenged. And as you gain skills and help others, you’ll need to do the same for them.
When you find the bug, take a second to think about what you could have done to find it faster. Next time you see something similar, you will be able to find the bug more quickly.
Remember, the goal is not just to make the program work. The goal is to learn how to make the program work.
How to Think Like A Computer Scientist: http://interactivepython.org/runestone/static/thinkcspy/Appendices/errorsAndDebug.html


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{% extends "layout_content.html" %} {% block content %}
StudentTrack is a program designed to aid teachers in organising and managing their courses, students and classes. Please read the "Setup and Installation" section to get started.
To get started on StudentTrack it is recommended that you first go to the Courses page and add a course. After this you can add topics to this course, and add and assign classes to take this course. Once you have this initial setup done you can add some upcoming homeworks and tests so we can remind you when their scheduled time approaches. StudentTrack can also track the performance of classes over time, if you record your students' progress in StudentTrack you can view statistics on recent performance, monitor completion of homeworks and tests, and get general reminders on the Dashboard.
This website is a coursework project.


Taguig Map
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COVID UPDATES
TOTAL CONFIRMED: 23,629
TOTAL ACTIVE CASES: 614
TOTAL RECOVERED: 22,794
AS OF MAY 09, 2021


Card Title
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Horizontally and Vertically resizable card
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Units
Celsius
Fahrenheit
Your Weather
You are in :
The sky is full of:
The Temperature is :
The Humidity is :
City/Weather
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Hi! Thanks for stopping by. I am Rahul Joshi, an aspiring DevSecOps engineer
Career
I am a Software engineer with 2+ years of experience in the IT industry, handling responsibilities that encompass the DevOps spectrum and working towards my goal of being a successful DevSecOps Engineer. A Masters Degree in Information Security graduate with passion for Coding, offensive security and platform operations.
Currently serving as a Software Engineer at Cerner Corporation in a Platform Operations team which manages Cerner's Millennium Cloud Solutions handling combined responsibilities of a software developer and Unix systems engineer.
Education
“Start where you are. Use what you have. Do what you can.”- Arthur Ash
Alma Matres
Privileged to have attended these highly esteemed institutions in their respective countriesAugust 2015 - May 2017
MASTER OF SCIENCEInformation Security & Assurance
3.54
Fairfax, VA, USA
September 2010 - April 2014
BACHELOR OF ENGINEERINGComputer Engineering, Gen.
3.40
Mumbai, MH, India
Skills
Proficiency based on experience in years
Programming / Scripting
-
Java
3
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Ruby
1.5
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Bash
1.5
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Groovy
2
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GoLang
1
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JavaScript
3
Operations
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Chef
1.5
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Jenkins
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Bangalore born, Mumbai raised, Cricket tragic (Dravidian, Gautian, MSDian, Viratian!!), rookie guitarist, listening to metal music. Multilingual; fluent in English, Hindi, Marathi & Kannada, a true 90s kid. Like watching psychological thrillers, spy TV shows & Heavy Metal music documentaries. Life's always a struggle but I believe that "Every day is an Education" and "Getting better never stops!"
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Location
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c4.rahul.joshi@gmail.com


- PacificRegion - Class in region
-
Product consumer for states
belonging to "EST" time zone.
- PacificRegion() - Constructor for class region.PacificRegion
-
Default class constructor
- PacificRegion(SpacelySprockets, CogsWellCogs) - Constructor for class region.PacificRegion
-
Overloaded constructor
- peek(String) - Method in class producer.ProducerBaseClass
-
Method used to see the current message that is
at the top of the queue.
- poll(String) - Method in class producer.ProducerBaseClass
-
Method used to poll an object out of the
queue.
- producer - package producer
-
- ProducerBaseClass - Class in producer
-
Base class that encapsulates methods and
properties common to region objects.
- ProducerBaseClass() - Constructor for class producer.ProducerBaseClass
-
Default class constructor.
- ProducerBaseClass(String) - Constructor for class producer.ProducerBaseClass
-
Overloaded constructor that accepts
the the file path of the state / time zone
mapping file.
- product - package product
-
- Product - Class in product
-
Class used to encapsulate product data.
- Product() - Constructor for class product.Product
-
Default class Constructor.
- Product(String, String, String, double, double) - Constructor for class product.Product
-
Overloaded Class constructor.
- ProductMessage - Class in product
-
Class used to encapsulates a product object, time stamp
and region.
- ProductMessage() - Constructor for class product.ProductMessage
-
Class Constructor
- ProductMessage(Date, Product, State.TimeZoneType) - Constructor for class product.ProductMessage
-
Overloaded constructor.
- Program - Class in main
-
- Program() - Constructor for class main.Program
-


Nicholas Aaron Young (born June 1, 1985) is an American professional basketball player for the Golden State Warriors of the National Basketball Association (NBA). He plays both shooting guard and small forward positions. Young played college basketball for the USC Trojans and was a two-time first-team all-conference selection in the Pac-10. He was selected by the Washington Wizards in the first round of the 2007 NBA draft with the 16th overall pick.
Born in Los Angeles, California, Young played for Cleveland High School in suburban Reseda, California. He averaged 27.2 points and 10.8 rebounds as a 2004 senior at Cleveland, earning 2004 CIF L.A. City Section, Los Angeles Times All-City and San Fernando Valley first team honors. He shot 57.3% from the field and 46.8% from three-point range (52-of-111), had 48 steals and 41 blocks as Cleveland finished 25–4. Young was tabbed the seventh-best player in the country by HoopScoop and listed by prep basketball guru Frank Burlison as among the Top 50 recruits in 2004. He once scored 56 points in one game and had 23 rebounds in another. He earned CIF L.A. City Section first team honors in 2003 and was included in a list of Top Seniors by Athlon heading into 2004.
Young played for the University of Southern California from 2004 to 2007 and was All-Pac-10 First Team in the 2005–06 and 2006–07 seasons. In the 2007 NCAA Tournament, Young led the fifth-seeded Trojans to a berth in the Sweet Sixteen, where they lost to the one-seeded North Carolina Tar Heels, 74–64.[1] Along the way, Young led USC to a 77–60 first-round win against Arkansas.[2] In the 2nd round, Young led the team with 22 points over the Texas Longhorns in an 87–68 rout of the team featuring the National Player of the Year, Kevin Durant, though Durant led both teams in scoring with 30
Following his junior season, as expected,[4] Young announced on April 15, 2007 to the Los Angeles Times that he would forgo his senior year to turn professional and enter the 2007 NBA Draft,[5] where he was selected with the 16th overall pick by the Washington Wizards.
On July 7, 2017, Young signed with the Golden State Warriors.[21]


--- layout: post date: 2013-07-20 14:25:00 +0200 title: "systemd 204 in Debian experimental" categories: Artikel tags: - debian ---
As of today, systemd 204 is available in Debian experimental. If you are interested in systemd, please install it and report any issues to the BTS — merely reporting them on IRC is not sufficient, we need to have them in the BTS so we don’t forget about them.
In case you’ve been using the unofficial 204 packages from http://people.debian.org/~biebl/systemd, please downgrade first to systemd 44-12 and udev 175-7.2, then upgrade to the versions in Debian experimental. This will ensure that during the upgrade all obsolete conffiles are upgraded properly.
Thanks for helping with testing!


Geomepydash Documentation
This is the documentation for the
geomepydash python module.
|
GitHub Page
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GD.Characters class
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Miscellaneous
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{% extends "base.html" %} {% block content %}
Take the median number of riders per day and then, for each day, your Adjusted Points are your points in the old system (1 point per mile, 10 points per day for riding at least 1 mile) multiplied by 1.025^(median-[total number of riders today]). At this moment in time, the median number of riders is {{median}}.
NOTE: This is calculated at the time you view the chart. This means that today's points will change as more people ride. If you are the first rider of the day, you will get literally a bajillion points (A sleaze ride of exactly one mile is worth almost 1500 points if you're the only rider of the day). As more people ride, your points go down.
| Rank | Rider | Team | Miles | Old Points | Adjusted Points | Bump % | Days Ridden |
|---|---|---|---|---|---|---|---|
| {{loop.index}} | {{a}} | {{b}} | {{c|round(1)}} | {{d|round(1)}} | {{e|round(1)}} | {{(100*(e-d)/d)|round(1)}}% | {{f}} |


Kielbasa and Cabbage
Yields: 6
Preparation time: 10
Cooking time: 480 (240?)
Ingredients
-
1 small head of cabbage, cored and cut into wedges (about 2 1/2 lbs)1 medium onion, halved and thinly sliced1⁄2 teaspoon kosher salt1⁄2 teaspoon black pepper1 cup chicken broth1 tablespoon brown mustard1 lb kielbasa, cut into 3-inch pieces
Directions
-
Coat the slow cooker crock with cooking spray.Add all the ingredients except the kielbasa to the crock, tossing so that the cabbage is well-coated with the broth and seasonings.Top mixture with kielbasa.Cover and cook on LOW for 7 hours; give mixture a good stir, then cook 1 hour more.
Category: Dinner


As a starting point for discussions we have put together a set of rules derived from the HPF and MPI Forums.
Everything is public and open. Most of the technical details hammered out in subgroups, which makes the base proposals. The main group discuss these proposals and votes on adopting them. Technical discussions for the most part done on email lists. Subgroup bring their own proposal as handouts. Unified draft put together from these.
For running discussions, use loosely-enforced Robert's Rules of Order. Basically, we won't stand on formalities unless the discussion is becoming unruly. Some of the more often-invoked rules:
Generally, whoever is making the presentation runs the discussion, recognized comments from the floor, etc. Convener comes in after the meat of the discussion to run the votes. Comments during discussion handled by going around the room clockwise.
Will pass around an attendance sheet at each meeting to keep track of who was there. Organizations are asked to commit to having the same attendee at every meeting. It's very important to have this kind of continuity in attendees, else we could have spent too much time in remedial education.
Accepting a section of the BLAST spec is a multi-step process.
Subgroups meet independently of the main body, usually the afternoon and evening of the day before. The leader of the subgroup run these meetings using whatever style he or she is comfortable with. Also, there is a mailing list for each subgroup where most of the discussions goes on.
Each subgroup is devoted to one topic from the following list (prelimary):
The groups meet in parallel, which may cause a little friction but is logistically unavoidable. When a subject straddled two groups, the subgroup leaders would talk to each other and decide who would handle it - this may lead to minor anti-turf battles (also known as "after you" deadlock). Both groups would act as sanity checks on the results.
When it comes time to write the draft, each subgroup become a chapter. The subgroup leader is the editor (and usually major author) of the chapter, and is responsible for making sure the chapter reflected the decisions made in the subgroup and in committee.
Meetings are 2.5 days, starting Monday or Wednesday afternoon, in Nasville. A typical schedule is
| Monday or Wednesday | |
|---|---|
| Embassy Suites Airport Nashville | |
| 1:00 - 6:00 pm | Subgroup meeting |
| 6:00 - 7:30 pm | Unofficial dinner break |
| 7:30 - 10:30 pm | More subgroup meetings |
| Tuesday or Thursday | |
| 9:00 - 12:00 am | Subgroup meeting |
| 12:00 - 1:30 pm | Lunch (provided) |
| 1:30 - 6:00 pm | Full group meeting (and coffee breaks) |
| 6:00 - 8:00 pm | Dinner (attendees pay, but hotel provided transport to area restaurant) |
| 8:00 - 10:00 pm | (Sometimes) subgroups meeting |
| Wednesday or Friday | |
| 9:00 - 12:00 am | 9:00-12:00 Full group meeting |
We will try to finish as early as possible on Friday, to allow people to catch flights.
We financed the meetings primarily from a per-meeting fee of $75 per attendee. We have no other source of funding at this time.
For future planning here is a tentative list of dates, roughly 3 months apart, for the series of meetings:
The Draft: ?? serves as our general editor, collecting the chapters and trying to smooth format details. We will try the following framework:
Each subgroup writes one chapter, generally written and/or edited by the subgroup leader. Also, the author of each section is identified in a footnote at the beginning of the section, along with the date (and occasionally other version information). The chapter authors should realize they are writing a draft chapter, not a stand-alone document.
Mailing lists: Every subgroup has its own mailing list. Those lists are where most of the technical action happened. On top of that, there is a list for everybody in the world interested in BLAST, and another for the "core" group. The "everybody" list is used for the meeting minutes and a few miscellaneous announcements. The core group list is primarily for the meeting attendees, but a few others are also on it for political and/or practical reasons; it got meeting details, and copies of the various proposals before the meetings. All lists are kept at cs.utk.edu People can add or delete themselves to/from any of the lists by mailing to<EMAIL_ADDRESS>The following mailing lists have been set up.
Minutes: Susan Ostrouchov and Andrew Lumsdaine have agreed to take minutes for the general meeting. Each subcommittee should also have minutes taken.
Announcements of major news (new drafts, etc.) to go everywhere we can think of. This includes the "world" mailing list; newsgroups comp.lang.fortran, comp.lang.misc, and comp.parallel; (indirectly) na-net, scinet, and hpcwire. Meeting minutes go to the world and core mailing lists and the newsgroups. Good idea to mention BLAST when giving talks.


boost::sql_cli::null_data Class Reference
#include <boost/sql_cli/error.hpp>
Inherits boost::sql_cli::error.
List of all members.
Detailed Description
Exception class that represents a generic SqlCli error. Represents null values in context where they should not be ignored. This may be thrown when retrieving a null value in an object that is not suitable to represent it (i.e. it is neither a boost::optional<> nor a sql_cli::null_value<>).
The documentation for this class was generated from the following file:
Generated on Mon Apr 23 18:12:04 2007 for Boost.SqlCli by
1.5.2


{{ partial "header.html" . }} {{ partial "navigation.html" . }}
Budibase’s data interface looks like a simple spreadsheet but behaves like a powerful database application builder. Whether you need to import data, filter content, or make calculations, Budibase has you covered.


Loobee is a library of Swift components.
WORK IN PROGRESS
Summary
Loobee is a set of components for the Swift programming language that provide support for tasks and structures such as
memory
, byte
, logger
, concurrency
, atomic
, thread
, container
, environment
, time
, etc.
Table of Contents
Prerequisites
Swift 4.2 or above
Getting Started
Loobee works and tested on Ubuntu and MacOS.
Make commands:
build
- build debug versionbuild-safe-release
- build release with with bounds check and minimum debug infobuild-release
- full performancetest
,test-safe-release
,test-release
- run teststest-docker
- run tests in docker container (needdocker-env
target).clean
- cleanxcode
- generate Xcode project
Contributing to Loobee
All improvements to Loobee are very welcome!
Contact
qRoC is the author and maintainer of Loobee. Feel free contact him directly via email.
If you have a question about this library, we recommend opening an issue.


Splits
In LiveSplit, open Splits Editor
Select the Real Time tab
Click anywhere in the table and press CTRL+A to select all
Press CTRL+C to copy and CTRL+V to paste in the box below.
Offset
This is the time in the video the run started.
seconds
Timestamps


Front-end boilerplate for Concrete5 CMS
Start a new Concrete5 site from scratch. Use Bower, Grunt, Sass, jsHint, etc to build out a theme, custom templates, packages, etc.
Welcome to concrete5 boilerplate!
Content Management is easy with concrete5's in-context editing. Just login and you can change things as you browse your site.
You can watch videos and learn how to:
- Edit this page.
- Add a new page.
- Add some basic functionality, like a Form.
- Finding & adding more functionality and themes.
We've taken the liberty to build out the rest of this site with some sample content that will help you learn concrete5. Wander around a bit, or click Dashboard to get to the Sitemap and quickly delete the parts you don't want.
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
This is a line of paragraph text. This is a line of paragraph text. This is a line of paragraph text. This is a line of paragraph text.
This is an address1234 Street Name
City, State, 12345
That's all, folks!


JSON-stat Javascript Toolkit
/ Test Suite
Connecting...
Errrrr... This is embarassing... This page needs Javascript to work.
jsonstat.com
| © 2019
Xavier Badosa


Dogs are too good to be real.  Well, that’s just how all dogs are.
They can’t let their only favorite person in the entire world be sad. Now, if that isn’t enough reason to love dogs, I don’t know what is. In a nutshell, dogs are too good for us, and sometimes we just don’t deserve them. The following posts show how good dogs are not just to us humans but also to other animals.


ADDataProviderError
public enum ADDataProviderError : Error
Defines the type of errors that can arise when working with a data provider that conforms to the ADDataProvider
protocol.
-
The data provider is attempting to work with a datasource before it has been opened.
Declaration
Swift
case dataSourceNotOpen
-
Failed to copy a writable version of the database source from the app’s bundle to the documents directory.
message
contains the details of the given failure.Declaration
Swift
case dataSourceCopyFailed(message: String)
-
Unable to open the data source from the given location or with the given name.
Declaration
Swift
case dataSourceNotFound
-
The data provider was unable to open the given data source.
Declaration
Swift
case unableToOpenDataSource
-
The data provider failed to delete the data source.
Declaration
Swift
case failedToDeleteSource
-
The data provider does not have the requested table name on file.
message
contains the details of the given failure.Declaration
Swift
case tableNotFound(message: String)
-
The data provider was unable to prepare the SQL statement for execution while binding the passed set of parameters.
message
contains the details of the given failure.Declaration
Swift
case failedToPrepareSQL(message: String)
-
The number of parameters specified in the SQL statement did not match the number of parameters passed to the data provider.
Declaration
Swift
case parameterCountMismatch
-
The data provider was unable to bind a given parameter to the SQL statement.
message
contains the details of the given failure.Declaration
Swift
case unableToBindParameter(message: String)
-
The data provider was unable to create the requested table in the data source.
message
contains the details of the given failure.Declaration
Swift
case failedToCreateTable(message: String)
-
The data provider was unable to execute the given SQL statement.
message
contains the details of the given failure.Declaration
Swift
case failedToExecuteSQL(message: String)
-
The data provider was unable to update the given table schema to the new version.
message
contains the details of the given failure.Declaration
Swift
case failedToUpdateTableSchema(message: String)
-
The data provider was unable to fetch the requested row(s) from the data source.
message
contains the details of the given failure.Declaration
Swift
case unableToGetRows(message: String)
-
The data provider was unable to complete the given batch update command.
message
contains the details of the given failure.Declaration
Swift
case batchUpdateFailed(message: String)
-
While attempting to create or update a table schema, the data provider encountered a
nil
value. Use either theregister
orupdate
functions with a fully populated default value class instance (with all values set to a default, non-nil value) to create or update the table schema.message
contains the details of the given failure.Declaration
Swift
case missingRequiredValue(message: String)
-
While reading a value from a CloudKit record, the data provider was unable to move that value forward.
Declaration
Swift
case unableToConvertValue(message: String)
-
No further rows are remaining from a call to
getRows
.Declaration
Swift
case noRowsRemaining


Welcome to Interactive Arrays!
Chrome console is not open so you need to open it to continue!
( Press 'ctrl + shift + I' to open console )
The Peugeot 404 is a large family car produced by French automobile manufacturer Peugeot from 1960 to 1975. A truck body style variant was marketed until 1988. The 404 was manufactured under licence in various African countries until 1991 (in Kenya) and was manufactured in Argentina by Safrar/Sevel in El Palomar, in Québec, Canada at the St-Bruno-de-Montarville SOMA Ltd. plant and in Chile by Automotores Franco Chilena S.A. in Los Andes. The Wikipedia
Before loading a library, please check Chrome console for loggings on what's going on!
A) Select libraries you want to load
B) Load another library! (experimental)
C) Unload all
D) Diff of two libraries! Just select two libs:
This section shows results of 'print(obj)' which returns all functions in obj along with links to official documentations.
This is Abderrahim Benseguane discovering JavaScript along with HTML dom in 3 days. I acknowledge code here is very poorly written, as I am a beginner in JS for web developement. If you have time to review not more than one thousand lines of code as a form of collaboration, you are more than welcome.


if you haven't signed up for juicer.io yet click
here
and take advantage of their free tier.
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Algebraic Polynomials
-
Fundamental Theorem of Algebra:
-
Existance of Roots:
-
Polynomial Equivalence:
This result implies that to show that two polynomials of degree less than or equal to \(n\) are the same, we only need to show that they agree at \(n + 1\) values.
Horner’s Method
-
What?
Horner’s method incorporates the Section 1.2 nesting technique, and, as a consequence, requires only n multiplications and n additions to evaluate an arbitrary nth-degree polynomial. -
Why?
To use Newton’s method to locate approximate zeros of a polynomial P(x), we need to evaluate \(P(x)\) and \(P'(x)\) at specified values, Which could be really tedious. -
Horner’s Method:
-
Algorithm:
-
Horner’s Derivatives:
-
Deflation:
-
MatLab Implementation:
Complex Zeros: Müller’s Method
- What?
- A synthetic division involving quadratic polynomials can be devised to approximately factor the polynomial so that one term will be a quadratic polynomial whose complex roots are approximations to the roots of the original polynomial
- Müller’s method uses three initial approximations, \(p_0, p_1,\) and \(p_2\), and determines the next approximation \(p_3\) by considering the intersection of the x-axis with the parabola through \(( p_0,\ f ( p_0)), \ \ ( p_1,\ f ( p_1))\), and \(\ \ ( p_2,\ f ( p_2))\)
- Why?
Newton’s Method/Secant/False Postion Weakness: The possibility that the polynomial having complex roots even when all the coefficients are real numbers.
If the initial approximation is a real number, all subsequent approximations will also be real numbers.
-
Complex Roots:
-
Algorithm:
- Calculations and Evaluations:
HERE!Müller’s method can approximate the roots of polynomials with a variety of starting values.